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[null,"This version of the BTA spreadsheet was posted on  .  .  .",null,null,null,null,"2019-09-15",{"$f":"CONCATENATE(\" (\",TEXT(G2,\"MMMM DD, YYYY)\"))","v":" (September 15, 2019)"},null,null,{"$f":"CONCATENATE(\"Scenario running now: \",Results!$K$27, \".\")","v":"Scenario running now: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
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[null,null,null,null,null,null,null,null,null,null,"Latest version of the BTA is always available on the Web: http://www.nnyn.org/kheelplan/BTA_1.1.xls\n\nRequires \"genuine\" Excel (2007 or later). \nWill NOT run as Google Doc.",null,null,null,{"$f":"ROW()","v":4}]
[null,"W e l c o m e    t o  . . .",null,null,"© 2007-2019 Nurture New York’s Nature & Charles Komanoff",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"The BTA (Balanced\nTransportation Analyzer)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,"This version supersedes prior ones. Results may differ from previously published figures due to",null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,"(i) updated baseline values (e.g., traffic volumes)",null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,"(ii) alterations to algorithms",null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,"(iii) revisions in plans being modeled",null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,"(iv) bug fixes.",null,null,null,{"$f":"ROW()","v":14}]
[null,"An integrated spreadsheet model to assess traffic improvements, revenue generation and other benefits from reforming road tolls and transit fare policies in New York City",null,null,null,null,null,null,null,null,"See 'About' tab for more info.",null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,"Click for tutorial: why road pricing\nis key to curing traffic congestion",null,null,null,{"$f":"ROW()","v":16}]
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[null," Following links go directly to key modeling results ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
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[null,"• Table of Contents showing the 75 \"tabs\" (pages) in this spreadsheet with links to instantly access them.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"• Graphic of costs (new tolls, mostly) and benefits (travelers' time savings, enviro, etc.) of toll plan the model is running.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"• Key results predicted for toll plan: traffic speeds, new revenue, time savings, etc.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"• Bar charts showing predicted traffic-pricing revenues and possible uses of them.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"• Pie chart showing traffic-pricing revenues in greater detail ─ how much from cordon toll, yellow cabs, Ubers, etc.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"• To switch to a different toll plan, click here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"• To modify any of the pre-set toll plans, or the tolls, surcharges, etc. built into them, click here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"• Pie-chart showing \"mode shifts\" for CBD trips due to the toll plan.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"• Pie-chart showing how much residents of each borough, county and state will pay under the new tolls.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
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[null,"ON THE WEB: The BTA spreadsheet is Web-available via this link: <http://www.nnyn.org/kheelplan/BTA_1.1.xls> We are continually upgrading and updating the BTA. Please access the above link often to ensure you're using a reasonably current version. (Note date stamp at top of every page.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
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[null,"The Manhattan CBD … is the 8.5-square mile section of Manhattan Island south of 60th Street and the commercial heart of New York City. CBD is short for Central Business District. It is served by four bridges and four tunnels.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
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[null,"A \"Macro\" … is a set of instructions embedded within the spreadsheet that \"execute,\" on command, a particular calculation -- a \"program within a program.\" When you opened the spreadsheet, you should have chosen the \"Enable Macros\" option. If you did not, please exit and reload the spreadsheet, selecting \"Enable.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
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[null,"Try your own toll plan … Go to Policy Levers worksheet ― fifth \"tab\" in list at bottom, or click link to it (seventh bullet above) ― and follow directions there. See how your toll plan's traffic and revenue results match up with ours!",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
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[null,"Note: Excel sometimes defaults to a setting that can't handle the mathematical interactivity built into the BTA. You'll know this is happening if Excel shows an error message about circular values, or if some cells display #NUM values when you open the file). If that occurs, follow these 7 steps:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
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[null,"1. Click MS Office or File button at left of top \"ribbon.\"",null,null,null,"2. Click Excel Options at bottom of pop-up window.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"3. In left-hand column (near top), click Formulas.",null,null,null,"4. In Calculation options section, select Enable iterative calculation check box.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"5. Set maximum number of iterations to 100.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"6. Set maximum change box to 0.001.",null,null,null,"7. Press OK at the bottom.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
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[null,"To learn more about the BTA, read text below, or click on links below (green boxes) to magazine pieces. Feel free to skip rest of this worksheet (and all of next several) and proceed to Results tab. There you can view traffic and revenue impacts of our various pricing scenarios, as well as your own.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
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[null,"Unique Features of the Balanced Transportation Analyzer",null,null,null,null,null,null,null,null,"New York magazine, March 27, 2018 (by Justin Davidson) ",null,null,null,{"$f":"ROW()","v":55}]
[null,"The BTA is the first publicly available software tool capturing the crucial transportation interactivities present in cities with a downtown core, and thus permitting robust evaluation of road and/or transit pricing proposals for such cities.",null,null,null,null,null,null,null,null,"Why You Should Be in Favor of Congestion Pricing in NY ",null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,"\"Charles Komanoff’s Balanced Transportation Analyzer sounds like it ought to have gears and smoking test tubes but is actually a downloadable spreadsheet that incorporates dozens of different variables. [Gov. Cuomo's] Fix NYC panel adopted it for their analysis, and it’s a beautiful plaything for a data geek. Want to know how much more slowly cars will be driving through midtown if truck traffic increases by, say, 8 percent in five years? Download the spreadsheet and plug in the numbers.\"",null,null,null,{"$f":"ROW()","v":57}]
[null,"Among the interactivities it captures (reflects):",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"A. Relationships between the price (fare) to drive, use transit and take FHV's (for-hire vehicles), and usage of those modes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"B. “Rebound effect” by which reduced auto use is tempered by trip growth from driving's reduced “time cost.”",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"C. Mode-shifting between autos and transit, as changes in the price of one lead to changes in use of the other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"D. Time-of-day shifting for both modes, via algorithms that capture the propensity of drivers and transit users to shift travel times to take advantage of lower tolls or fares.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
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[null,"E. Changes in demand for transit service as traffic volumes, service quality and fare collection media change.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Dual Purpose of the Balanced Transportation Analyzer",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"A. The BTA offers transportation planners, agency officials and advocates a transparent and straightforward tool for testing policy proposals for impacts on traffic levels, travel speeds, time spent traveling, agency revenues, emissions and other \"externalities,\" and other key indicators. \n\nB. It is specifically tailored to analyize prospective new tolling arrangements such as the Move NY - Sam Schwartz 'Fair Tolling' plan. The \"default\" settings in the saved version you have downloaded reflect the Move NY plan, but you can also substitute your own tolls, if you wish. See instructions in text area above, \"Try Your Own Toll Plan.\"",null,null,null,null,null,null,null,null,"Motherboard / Vice, November 2017 (by Aaron Gordon)",null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,"Meet the Spreadsheet That Can Solve NYC Transit (and the Man Who Made It) ",null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,"\"In August, Gov. Andrew Cuomo announced his support for congestion pricing, calling it 'an idea whose time has come.' In October, he appointed a panel to study it. And, like an ancient alien buried in the ground waiting for a signal, an energy policy analyst named Charles Komanoff got back to work...\"",null,null,null,{"$f":"ROW()","v":69}]
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[null,"For more about BTA origin and sponsorship, and to learn why the State of New York's \"Fix NYC\" task force employed the BTA in 2017-18 as its primary analytical tool, see text box directly below or click: ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"More About BTA",null,null,null,null,null,null,null,null,"Traffic Technology Int'l, January 2013 (by Max Glaskin)",null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,"Transport economist Charles Komanoff is determined to solve New York City's traffic problems — and mathematical models are his congestion-busting tools.",null,null,null,{"$f":"ROW()","v":76}]
[null,"Gov. Cuomo's \"Fix NYC Advisory Panel Report\" used the BTA as its primary quantitative tool. Here the panel says why:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"The traffic and revenue estimates of various tolling strategies were performed using the Balanced Transportation Analyzer, or BTA. This spreadsheet model, developed by Charles Komanoff, provides a framework for assessing the extent to which zone pricing can both generate revenue and improve traffic conditions in the Central Business District (CBD). The BTA was chosen as the tool for this study because it offers four key advantages in supporting the zone pricing analysis: ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,"Wired magazine, June 2010 (by Felix Salmon) ",null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,"The Man Who Could Unsnarl Manhattan Traffic",null,null,null,{"$f":"ROW()","v":81}]
[null,"▪ As a spreadsheet model, it can rapidly evaluate and compare multiple tolling strategies. ",null,null,null,null,null,null,null,null,"Financial blogger Felix Salmon traces the intersection of Ted Kheel's and Charles Komanoff's lifelong transit advocacy and elucidates the ethical and pragmatic basis of congestion pricing: the social delay costs caused by each additional car trip into the Manhattan CBD.",null,null,null,{"$f":"ROW()","v":82}]
[null,"▪ The model draws from a broad array of well-documented sources of traffic and transportation data. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"▪ It is transparent. The underlying data is clearly identified and the assumptions governing the use of this data are highlighted. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"▪ It yields the outputs that are most relevant to our analysis—namely, increase in revenue, improvement in average vehicular speed, and reduction in congestion. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
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[null,"2017 Projected Farebox Revenue (November 2017 forecast)",null,null,null,730069000,null,736985000]
[null,"Source: MTA 2018 Budget and 2018-2021 Financial Plan Adoption Materials, Pages 39 (LIRR) & 52 (M-North) of 124. Available at http://web.mta.info/mta/budget/pdf/MTA_2018_Budget_2018-2021_Financial_Plan_Adoption_Materials.pdf."]

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[null,"Table of Contents",null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[null,"The BTA has 75 worksheet \"tabs,\" or \"pages.\" Clicking on any linked tab takes you to that page."]
[]
[null,"We've grouped and color-coded them to lend a thematic sense and reveal the spreadsheet's underlying structure."]
[]
[null,"Section","Linked tab or page","Description"]
[null,"Front Matter","Title Page","Summarizes nature and purpose of the spreadsheet. Includes links to particularly interesting and/or important tabs and graphics."]
[null,null,"Table of Contents","(this page)"]
[null,null,"About","BTA origins, sponsorship, features, acknowledgments, contact info."]
[null,"Key Outputs\n& Inputs","Results","Shows projected impacts of modeled pricing plan on traffic speeds, transit use, agency revenues, time lost in traffic, and other key economic and quality of life indicators."]
[null,null,"Policy Levers","Lists the 95 (count 'em) key parameters built into our pre-loaded congestion pricing scenarios (which users may vary to test own scenarios)."]
[null,"Economic Outputs","Cost-Benefit","Reports monetized values of changes in traffic, travel and revenues resulting from the congestion-pricing plan the model is running. Net result is best single indicator of plan \"value.\""]
[null,null,"Revenues","Calculates and displays agency revenues associated with policies being modeled."]
[null,null,"Incidence","Estimates toll-plan incidence by county; demonstrates graphically the impact of taxi/FHV surcharges on Manhattan's toll burden vis-à-vis boroughs and suburbs."]
[null,null,"Taxes Instead","Estimates increases in sales taxes, fuel taxes or other real or quixotic tax measures that would be needed to collect the same net revenue as traffic-pricing."]
[null,"Traffic Pricing 101","Why","Tutorial explaining logical underpinnings of congestion pricing: without it, drivers' trip-making decision-making can ignore delay costs caused by each trip."]
[null,null,"Flowchart","Outlines key relationships among car/truck, taxi, subway and bus use that effectively define the BTA."]
[null,null,"Assumptions","Catalogues several hundred key assumptions that drive the BTA, including elasticities, baseline costs to drive into the CBD, value of an hour of saved time, and more."]
[null,null,"Traffic Pricing Plans","Summarizes some of the traffic-transit policy proposals developed using the BTA, including the current Move NY Plan, earlier Move NY plans, and Kheel-Komanoff precursors."]
[null,null,"BdB's Plan","Quantifies potential time savings and resulting societal benefits from Mayor de Blasio's new traffic-control measures announced in Oct. 2017."]
[null,"Travel","CBD Congestion","Quantifies factors ― advent of app-based FHV's (Uber), installation of bicycle lanes, cheaper gasoline ― that could (and largely do) account for slowdown in CBD traffic speeds."]
[null,null,"Stuck in Traffic","Estimates change due to ongestion pricing in minutes & seconds that a vehicle user (car or van driver, FHV passenger, bus rider) will be stationary or barely moving in CBD traffic."]
[null,null,"MTA Crossings","Calculates baseline revenues from MTA bridges and tunnels; estimates changes from cordon tolling and possible discounting of tolls on MTA bridges."]
[null,null,"Canal St.","Assesses two complementary policies to reduce Lower Manhattan traffic congestion: congestion pricing and restoring two-way tolling on the Verrazano-Narrows Bridge"]
[null,null,"Travel","Estimates changes in number of persons expected to enter the CBD in cars, taxis, subways and buses."]
[null,null,"Distances","Calculates mean driving distance for auto commuters to edge of Manhattan CBD. Also estimates mean distance between pairs of random points w/i the CBD."]
[null,null,"Approaches","Estimates share of traffic on approach roads to CBD accounted for by cars and trucks that enter CBD and pay toll. Figures in traffic modeling in Motor Vs worksheets."]
[null,"Toll Crunching: How tolls thin traffic volumes","MV Condensed","Abridged version of 'Motor Vs' worksheet tab, included as a tutorial to help BTA users vet the model's traffic-level inputs and its toll-revenue outputs."]
[null,null,"Data Flow","Explicates key data inputs and processing in Motor Vs worksheet."]
[null,null,"Motor Vs","Calculates changes in motor vehicle traffic within and outside CBD as result of congestion tolls, new transit fares and related policies, and estimates resulting toll revenue."]
[null,null,"Motor Vs Weekends","Duplicates Motor Vs worksheet, for weekends (Saturdays, Sundays, Holidays)."]
[null,null,"Trucks","Estimates mix of truck types that currently enter the CBD and calculates average ratio of truck-car tolls from axle-based truck toll schedule."]
[null,"For-Hire Vehicles","Taxis","Estimates impacts of cordon toll and possible taxi surcharges on use of yellow cabs, and feeds those results back to other BTA worksheets."]
[null,null,"Taxi Farecalcs","Calculates before & after fares for a range of taxi trips in order to provide a more representative sample of fare impacts beyond the central-point example in the Taxis worksheet."]
[null,null,"UberLyft","(Still in formation) Critical parameters to enable the BTA to model impacts of cordon tolls and FHV surcharges on app-based ride services such as Uber and Lyft."]
[null,"Transit","Transit","Estimates improvements in transit travel times from increased transit investment."]
[null,null,"Subways","Calculates effects of any hour-by-hour \"regime\" of subway fares chosen by user; with over 400 rows and 40 columns, is BTA's transit workhorse. "]
[null,null,"CBTC","Compiles costs of past and future implementation of modern subway signaling; estimates increases in train capacity and reductions in trip durations"]
[null,null,"Subway v. Bus","Develops algorithm for assigning new transit trips between subway and bus modes. "]
[null,null,"Buses","Estimates impact of new pricing on bus service; also compiles number of buses and their passengers entering the CBD on weekdays."]
[null,null,"Bus Routes","Apportions annual ridership on NYC Transit buses among the five boroughs."]
[null,null,"Bus Boarding","Estimates time savings from fare-free boarding."]
[null,null,"Fare Collection","Estimates monetary savings from eliminating fares on NYC buses and subways."]
[null,null,"Bicycles","(in formation) Will calculate mortality changes, street-space and delay costs, mode shifts, and traffic impacts of increased provision for bicycles."]
[null,"24-7","Weekday Hours","Estimates baseline 24-hour weekday divisions of CBD traffic and chooses hourly cordon tolls (user may vary). These specs go into traffic model in Motor Vs worksheet."]
[null,null,"Weekend Hours","Estimates baseline 24-hour weekend divisions of CBD traffic and chooses hourly cordon tolls (user may vary). These specs go into traffic model in Motor Vs Weekends worksheet."]
[null,null,"Weekends","Compiles hour-by-hour weekend traffic levels as percentages of weekday levels."]
[null,null,"Travel-Time Switching","This text-only worksheet explains algorithms in Motor V's and Subways that estimate number of trips that will switch travel time in response to time-of-day tolling and subway fares."]
[null,"Delays","Delays","Estimates aggregate hours and minutes of vehicle-delay caused per each additional trip into the CBD."]
[null,null,"Delays Weekends","Does same as Delays, for weekend vehicle travel."]
[null,"Tech Details","Speed-Vol., Cordon","Presents mathematical relationships used in Motor Vs worksheet to translate changes in CBD traffic volumes due to tolling, into changes in traffic speeds within the CBD."]
[null,null,"Speed-Vol., non-Cordon","Presents mathematical relationships used in Motor Vs worksheet to translate changes in non-CBD traffic volumes due to tolling, into changes in traffic speeds outside CBD."]
[null,null,"VMT","Calculates and aggregates citywide reductions in vehicle miles traveled from new tolls and fares."]
[null,null,"Elasticities","Compiles estimates of transit and motor vehicle \"time\" and \"price\" elasticities (i.e., measures of sensitivity of travel demand to travel times and prices) used in the model."]
[null,null,"Gini","Calculates extent to which pricing smoothes hour-by-hour profile of subway use. (Named for economist Corrado Gini whose eponymous coefficient measures income inequality.)"]
[null,null,"Cordon","Estimates costs to build, operate and administer the cordon charging system. Also estimates lane-miles and public space \"created\" by reducing VMT within the CBD."]
[null,"Key Externalities","Crashes","Subdivides NYC crash data into geographical districts, and applies projected reductions in VMT for each to project reductions in fatalities and injuries."]
[null,null,"Emissions","Calculates changes in emissions of CO2, Total Organic Gases, Carbon Monoxide, Nitrogen Oxides, and PM10 that are projected to result from toll and fare changes."]
[null,null,"Air Pollution","Calculates health-damage costs from the changes in emissions estimated in the preceding worksheet."]
[null,null,"EMFAC","Displays outputs of EMFAC (Emission Factors model developed by the California Air Resources Board for a range of vehicle speeds and vehicle types."]
[null,null,"Speed-CO2","Calculates average CO2 emission rates as function of vehicle speed, based on empirical observations taken on freeways in California for range of traffic conditions."]
[null,"Parking","Parking","Estimates baseline %'s of paid vs. free parking within CBD, for input into Motor Vs. Also estimates revenue gain from eliminating Manhattan residents' monthly-parking tax break."]
[null,null,"Parking Placards","Estimates VMT and speed impacts of NYC's May 2017 decision to issue 50,000 new free-parking placards to teachers and other school staff."]
[null,null,"Park-and-Ride","Estimates extent to which drivers might be likely to park outside CBD and complete their journey by subway, to avoid congestion toll."]
[null,"Who Wins?","Breakeven","Compares time savings vs. toll payment for an individual commute trip into the CBD."]
[null,null,"Winners-Losers","Estimates number of persons and/or trips that will be positively and/or negatively affected by the changes in travel prices and speeds under the plan chosen."]
[null,"Data","Hub-Bound","Compiles data on motor vehicle entries into CBD on typical weekday, for use in Motor Vs and Traffic worksheets."]
[null,null,"Trip Price","Calculates impact of cordon tolling on out-of-pocket cost for an average East River vehicle trip, and estimates resultant decrease in driving."]
[null,null,"H.I.S.","(Household Interview Survey) Compiles data from NYMTC 1997-98 Household Interview Survey that informs some parameter estimates used in the model."]
[null,null,"Bridges","Estimates before-and-after crossings at individual bridges and tunnels. Compiles other bridge/tunnel data used in other worksheets."]
[null,null,"Population & Employment","Derives compound growth rates suitable for bringing 2004 travel data to 2007 baseline (not used currently)."]
[null,null,"40 Years On","Makes 40-year revenue projections for congestion pricing plan selected in Results worksheet."]
[null,null,"Toll Rates","Estimates effective toll rate for passenger car crossings each year. Also compiles annual employment data for Manhattan, for us in Regression worksheet."]
[null,"Valuation","Value of Time","Derives our estimate of value of vehicle-hours saved in traffic through our proposed policies."]
[null,null,"Constants","Compiles several parameters that are used in more than one worksheet."]
[null,"Special Cases","FreshDirect","Calculates delays to other road users due to use of highway, curb and street space by FreshDirect trucks delivering groceries to customers from its Long Island City depot."]
[null,null,"FreshDirect Bronx","Calculates prospective delays to other road users due to use of highway, curb and street space by FreshDirect trucks delivering groceries from its proposed Harlem River Yards depot."]
[null,null,"Horses","Logistics of NYC's horse-drawn carriage industry, and parameters for estimating its impact on CBD traffic."]
[null,"Outtakes","New Ideas","Policy/analytical exercises of possible interest that could be modeled with the BTA"]
[null,null,"Regressions","Displays results of earlier linear regression analysis by Komanoff that estimated price-elasticity of auto across East River."]
[null,null,"BTA 1.0","Summarizes this spreadsheet's predecessor: Version 1.0 of the Balanced Transportation Analyzer."]

{"sheet":"About","index":2,"n_rows":72,"n_cols":13,"rows_kept":72,"cut":false,"hidden":false,"merged":[[67,1,69,8],[4,6,6,6],[4,5,6,5],[15,1,17,8],[47,1,49,8],[56,1,64,8],[29,1,30,8],[31,1,32,8],[41,1,42,8],[37,1,38,8],[51,1,52,8],[35,1,36,8],[4,7,12,8]]}
[null,"About",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[]
[null,"A. How Current Is This Version of the BTA?",null,null,null,"Data now publicly available","Data in this version of the model","We do our best to stay up to date w/ available data.\n\nLatest changes: we've inputted 1H 2018 taxi and \"UberLyft\" volumes; also, NYMTC's 2017 'Hub-Bound' volumes, even though that report isn't yet available to the public.",null,null,null,null,"Shown below: Fix NYC report cover, and complete Appendix outlining how and why the consultant team hired by New York State employed the BTA as its primary quantitative and analytical tool."]
[]
[null,"Input Parameters"]
[null,"NYC bridge and tunnel tolls",null,null,null,2019,2019]
[null,"NYC bridge and tunnel toll volumes",null,null,null,2017,2017]
[null,"Inbound and Outbound CBD volumes",null,null,null,2017,2017]
[null,"CBD average travel speeds",null,null,null,2016,2016]
[null,"NYC subway and bus ridership",null,null,null,2017,2017]
[null,"Taxi and \"TNC\" volumes (Transpo Network Companies)",null,null,null,2018,2018]
[]
[null,"B. Sponsorship of the Balanced Transportation Analyzer"]
[null,"Development of the BTA began in Sept. 2007 and continues today, under the auspices of The Nurture Nature Foundation (NNF), a non-profit founded by Theodore (Ted) Kheel (May 9, 1914 - Nov. 12, 2010)."]
[]
[]
[null,"to learn about Ted's illustrious career →",null,null,null,"http://bit.ly/z3pjUx"]
[null,"to learn about the Nurture Nature Foundation →",null,null,null,"http://www.nnyn.org"]
[null,"for Charles Komanoff's eulogy to Ted →",null,null,null,"http://bit.ly/cWuexa"]
[null,"Lead developer of the BTA is Charles Komanoff → ",null,null,null,"for information about Komanoff"]
[]
[null,"C. A prior version of the Balanced Transportation Analyzer (BTA 1.0) …"]
[null,"supported NNYN's Jan. 2008 report, \"Balancing Free Transit and Congestion Pricing in New York City\":"]
[null,"https://cdn.shopify.com/s/files/1/0703/6475/files/Full_Kheel_Report_for_web___23_Jan_2008.pdf?343272605369992348"]
[null,"Version 1.0 is superseded by this Version 1.1. The last worksheet tab of this spreadsheet has instructions to access BTA 1.0."]
[]
[null,"D. BTA 1.1 improves upon Version 1.0 with these features:"]
[null,"(i) time-of-day cordon pricing -- seven different weekday time periods and tolls (six on weekends) replace the confining one-price-fits-all assumption in BTA 1.0;"]
[]
[null,"(ii) time-of-day subway fares -- a possible means to improve capacity utilization and avoid worsened crowding from congestion pricing's conversion of some auto trips to transit trips;"]
[]
[null,"(iii) explicit treatment of weekends/holidays for autos, transit and taxis;"]
[null,"(iv) explicit modeling of intra-CBD travel;"]
[null,"(v) improved modeling of speed-volume relationships (which translate reduced vehicle volumes to improvements in motor vehicle speeds);"]
[]
[null,"(vi) ability to adjust baseline traffic volumes to reflect possible deviations from pre-toll traffic levels, including possible return to pre-recession levels;"]
[]
[null,"(vii) full specification of medallion taxicabs as an autonomous travel mode alongside autos and transit;"]
[null,"(viii) full specification of Ubers (and Lyfts, etc.) as an autonomous travel mode alongside medallion taxis;"]
[null,"(ix) separate \"levers\" to vary the three elements of medallion taxi and Uber fares: \"drop,\" per-mile charge, and wait-time charge for crawling along in congested traffic;"]
[]
[null,"(x) an additional lever to charge Ubers for \"trawling\" (the time they spend in taxi zone waiting to be pinged)"]
[null,"(xi) separate \"levers\" to vary truck tolls according to the number of axles."]
[null,"(xi) feedback of traffic impacts into mode choice which then further affects traffic impacts;"]
[null,"(xiii) estimation of changes in the number of people (as opposed to vehicles) entering the CBD;"]
[null,"(xiv) approximation of a relationship between increased capital investment in transit and reduced transit trip times, allowing dedication of toll revenues to transit investment to be translated into increased transit use and revenue;"]
[]
[]
[null,"(xv) specification of relationship between toll increases and car occupancies (carpooling);"]
[null,"(xvi) ability to model a policy option that waives toll on each vehicle's first E-ZPass paid toll for CBD bound trips, that month;"]
[]
[null,"(xvii) ability to test whether park-and-ride commuters will flood gateway neighborhoods to the CBD."]
[]
[null,"E. Acknowledgments"]
[null,"Much of the mathematics, programming, trouble-shooting and debugging of the BTA was performed by physicist Deena M. Patel, PhD, and computer scientist Will Fisher. Many key elements, including emissions calculations, delay estimation, and speed-volume relationships, are their handiwork. Urban planner Josef Szende quantified means-tested tolling impacts and costs and played a big part in analyzing transit upgrades. Other major contributions were made by transportation planner Ed Pike, mathematician Howard Shaw, PhD and programmer Michael J. Smith. Spreadsheet architect Charles Komanoff also gratefully acknowledges the intellectual contributions of Michael Brown, George Haikalis, Brodie Hefner, David Jordan, Reuben Juster, Brian Ketcham, Carolyn Konheim, Gary Roth, Sam Schwartz, Prof. Ken Small, PhD, Jane Kheel Stanley, Vince Taylor, PhD, and Jeff Zupan."]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"F. Articles/Stories about the BTA"]
[null,{"$f":"CONCATENATE(\"See lime-green text boxes in 'Title Page' tab, starting at Row \",'Title Page'!O55, \", for links to stories about the BTA in 'New York' magazine (2018), 'Vice/Motherboard' (2017), 'Traffic Technology International' (2013) and 'Wired' (2010). They're informative and entertaining!\")","v":"See lime-green text boxes in 'Title Page' tab, starting at Row 55, for links to stories about the BTA in 'New York' magazine (2018), 'Vice/Motherboard' (2017), 'Traffic Technology International' (2013) and 'Wired' (2010). They're informative and entertaining!"}]
[]
[]
[null,"G. Contact Info"]
[null,"Please direct suggestions, comments & questions to Charles Komanoff <komanoff@gmail.com>."]

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[null,"Results",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,"2019-06-24",null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"Hello! You've come to the right place. This tab shows topline results (e.g., revenue generation, traffic flow improvements) from the toll scenario the model is running.",null,null,null,null,"Internal links to key results (within this worksheet tab)",null,null,null,"External links to key results (outside this tab)",null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,"1. Key impacts, and menu to choose among our six pre-set plans",null,null,null,"1. Incidence (Who Pays?)",null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,"2. Revenues and expenditures",null,null,null,"2. Tax Alternatives (rises in taxes, in lieu of toll plan)",null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,"3. Revenues and Expenditures Graphs",null,null,null,"3. Net societal costs and benefits of toll plan",null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"K e y    R e s u l t s    A p p e a r    i n    B o x e s    B e l o w.    P l a n    S e l e c t e d   i s   N a m e d   a t   R I g h t:",null,null,null,null,null,null,null,{"$f":"K27","v":"Fix NYC higher-range plan"},null,null,{"$f":"CONCATENATE(\"Blue box at Cell B\",N17, \" explains how to turn switch on/off.\")","v":"Blue box at Cell B17 explains how to turn switch on/off."},{"$f":"ROW()","v":9}]
[null,"Predicted results are sensitive to whether a \"switch\" in the model crediting toll-revenue investments with improved subway service is ON or OFF. Cell at right shows status of switch:",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Switch is \",IF('Policy Levers'!K191 = \"YES\",\"ON\",\"OFF\"))","v":"Switch is ON"},null,{"$f":"ROW()","v":10}]
[null,"Average change in CBD vehicle speeds weekdays 6am-6pm",null,null,"Annual net revenue available\nto improve travel",null,null,"Manhattan residents' share\nof new tolls + surcharges ",null,"Predicted annual\nnet benefit",null,"Daily traveler time savings (hours)",null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Always hit F9 (recalc) key several times after changing scenarios or inputs, so spreadsheet can iterate & reach equilibrium. Also: See 'About' tab for 'currency' of data in model.",{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,{"$f":"H119","v":0.20708779911837927},null,null,{"$f":"ROUND(K69,-1)*1000000","v":1910000000},null,null,{"$f":"Incidence!I426","v":0.32459531255278412},null,{"$f":"ROUND('Cost-Benefit'!K88*1000000,-7)","v":3840000000},null,{"$f":"ROUND(S122*1000000/Constants!J7,-3)","v":507000},null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,{"$f":"CONCATENATE(\"(From Cell H\",N119,\")\")","v":"(From Cell H119)"},null,null,{"$f":"CONCATENATE(\"(From Cell K\",N69, \")\")","v":"(From Cell K69)"},null,null,{"$f":"CONCATENATE(\"(From 'Incidence' tab, Cell I\",Incidence!AA426, \")\")","v":"(From 'Incidence' tab, Cell I426)"},null,{"$f":"CONCATENATE(\"(From 'Cost-Benefit' tab, Cell K\",'Cost-Benefit'!O88, \")\")","v":"(From 'Cost-Benefit' tab, Cell K88)"},null,{"$f":"CONCATENATE(\"from Cell S\",N122,\"\")","v":"from Cell S122"},null,{"$f":"ROW()","v":16}]
[null,{"$f":"IF('Policy Levers'!K191=\"YES\",CONCATENATE(\"Speed improvement above is some years in future, after transit investments have borne fruit. To see *immediate* CBD speed gain, without the fruits of transit investment, follow instruxns in Cell E\",'Policy Levers'!O192, \" of 'Policy Levers' (tab directly following this one).\"),CONCATENATE(\"Speed improvement above is immediate, i.e., not taking credit for transit investments. To see *longer-term* CBD speed gain, reflecting fruits of transit investment, follow instruxns in Cell E\",'Policy Levers'!O192,\" of 'Policy Levers' (the tab directly following this one) .\"))","v":"Speed improvement above is some years in future, after transit investments have borne fruit. To see *immediate* CBD speed gain, without the fruits of transit investment, follow instruxns in Cell E192 of 'Policy Levers' (tab directly following this one)."},null,null,"Above figure encompasses all \"new\" toll and surcharge revenues from plan running in the model, less its administrative costs.",null,null,"Other 4 boroughs:",{"$f":"H164-H166","v":0.37515774271526342},"Figure above is best single \"index of merit\" for plan being run in model. Includes traveler time savings, enviro benefits, etc., less new tolls and other costs.",null,"Figure reflects 365 days. Weekday-only average is greater.",null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,"7 MTA subur-ban counties:",{"$f":"H172","v":0.16402953290324185},null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,"NJ, CT, other:",{"$f":"H173+H174","v":0.13621741182871061},null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Predicted net income\n(net revenue less allocations):",null,{"$f":"CONCATENATE(\"(Figure below is from Cell L\",N79, \")\")","v":"(Figure below is from Cell L79)"},null,"Plan must be designed so figure at left is small or zero. Negative means plan is spending $ it isn't raising. Large means plan is sitting on revenue.",null,null,{"$f":"CONCATENATE(\"Click on Cell K\",N27,\" for pull-down menu letting you select among six plans shown. Baseline plan (#1) is pre-set to represent conditions w/o congestion charges.\")","v":"Click on Cell K27 for pull-down menu letting you select among six plans shown. Baseline plan (#1) is pre-set to represent conditions w/o congestion charges."},null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,{"$f":"CONCATENATE(\"$\",(ROUND(L79,-1)),\" million / yr\")","v":"$830 million / yr"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,{"$f":"CONCATENATE(\"Click on cell K\",N27,\" for pull-down menu to choose among the six plans shown at right.\nTo create your own plan, change the settings\nin 'Policy Levers' worksheet (the tab\nimmediately following this one).\")","v":"Click on cell K27 for pull-down menu to choose among the six plans shown at right.\nTo create your own plan, change the settings\nin 'Policy Levers' worksheet (the tab\nimmediately following this one)."},null,null,"Choose among plans. To test your own, select #1 (Baseline), then edit in 'Policy Levers' tab.",null,null,null,null,null,"Plan below is running now.","Click anywhere on black cell at left. A small triangle should appear. Click it, and a \"drop-down menu\" will appear. Use it to select among Plans 1-6.",null,{"$f":"ROW()","v":25}]
[null,null,null,null,1,2,3,4,5,6,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,"Baseline","Fix NYC lower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan (Flat Toll)","Move NY Plan w Variable Tolls","Fix NYC higher-range plan",null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"1. Revenues and Expenditures",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,"Revenue (income)","Expenditures (outflow)",null,{"$f":"ROW()","v":33},null,"Worksheet in which $$ calc'd"]
[null,"Inflow and Outflow Summary (all $$ are annual)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Inflows ",null,null,"Description",null,null,null,null,null,"Figures are in millions of dollars,\nare rounded and are annual",null,null,{"$f":"ROW()","v":36}]
[null,"CBD Toll",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"New CBD Toll Revenue ",null,null,"Gross change in revenue from tolling motor vehicle trips into and out of Manhattan Central Business District.",null,null,null,null,null,{"$f":"ROUND(Revenues!K56,-1)","v":940},null,null,{"$f":"ROW()","v":38},null,"Results"]
[null,"CBD Toll Administration Costs",null,null,"Toll collection operating costs + annualized capital cost.",null,null,null,null,null,{"$f":"-0.5*ROUND(2*Cordon!O253/1000000,-1)","v":-115},null,null,{"$f":"ROW()","v":39},null,"Cordon"]
[null,"CBD Toll Revenue, Net of Admin Costs",null,null,{"$f":"CONCATENATE(\"Sum of figures in Rows \",N38, \"-\",N39, \".\")","v":"Sum of figures in Rows 38-39."},null,null,null,null,null,{"$f":"K38+K39","v":825},null,null,{"$f":"ROW()","v":40},null,"Results"]
[null,"MTA (TBTA) bridges discounts (if applicable)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"MTA gross revenue impact from bridges discounts",null,null,"MTA loss from discounting \"outer-borough\" (e.g., Verrazano, Throgs, Whitestone, Triboro, 3 others) tolls.",null,null,null,null,null,{"$f":"0.5*ROUND(2*'MTA Crossings'!R279,-1)","v":0},null,{"$f":"CONCATENATE(\"IF stmnt makes cell zero unless toll on Whitestone (a 'representative' TBTA bridge) has been reduced by at least $1, as shown in Policy Levers tab, cell K\",'Policy Levers'!O108, \".\")","v":"IF stmnt makes cell zero unless toll on Whitestone (a 'representative' TBTA bridge) has been reduced by at least $1, as shown in Policy Levers tab, cell K108."},{"$f":"ROW()","v":42},null,"MTA Crossings"]
[null,"MTA windfall from bridges discounts",null,null,"Potential MTA gain from increased volume if discount \"outer-borough\" tolls.",null,null,null,null,null,{"$f":"IF('Policy Levers'!K108<-0.1,0.5*ROUND(2*'MTA Crossings'!Q315/1000000,-1),0)","v":0},null,null,{"$f":"ROW()","v":43},null,"MTA Crossings"]
[null,"MTA net revenue impact from bridges discounts",null,null,{"$f":"CONCATENATE(\"Sum of Rows \",N42, \" and \",N43, \".\")","v":"Sum of Rows 42 and 43."},null,null,null,null,null,{"$f":"K42+K43","v":0},null,null,{"$f":"ROW()","v":44}]
[null,"Yellow Taxi Surcharges",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"New Surcharge(s) on Medallion Taxis",null,null,"Revenue from \"new\" taxi surcharge (if any).",null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!K69,-1)","v":385},null,null,{"$f":"ROW()","v":46},null,"Revenues"]
[null,"Change in \"Ravitch\" Taxi Surcharge",null,null,"Change (if any) in revenue from \"Ravitch\" surcharge.",null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!J88,-1)","v":0},null,null,{"$f":"ROW()","v":47},null,"Revenues"]
[null,"Portion Set Aside for Cab Drivers' Health Fund",null,null,"Assigning a fixed % of the revenues to drivers and/or owners may help win their acceptance.",null,null,null,null,null,null,{"$f":"0.5*ROUND(2*'Policy Levers'!K151*Results!K46,-1)","v":0},null,{"$f":"ROW()","v":48}]
[null,"Surcharges on \"UberLyft\" (App-based FHVs)",null,null,null,null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!O69,-1)","v":390},null,null,{"$f":"ROW()","v":49}]
[null,"NYC Transit Windfalls",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Subway Farebox Windfall",null,null,"Revenue gain from plan measures that lead to increased ridership on NYC Transit subways.",null,null,null,null,null,{"$f":"0.5*(ROUND(2*Revenues!G126*'Policy Levers'!$K$188,-1))","v":300},null,null,{"$f":"ROW()","v":51},null,"Revenues"]
[null,"Bus Farebox Windfall",null,null,"Revenue gain from plan measures that lead to increased ridership on NYC Transit buses.",null,null,null,null,null,{"$f":"0.5*(ROUND(2*Revenues!J126*'Policy Levers'!$K$188,-1))","v":10},null,null,{"$f":"ROW()","v":52},null,"Revenues"]
[null,"Fare Administration Savings",null,null,"Reflects any savings from eliminating or reducing fare collection machinery.",null,null,null,null,null,{"$f":"0.5*ROUND(2*'Fare Collection'!K140/1000000,-1)","v":0},null,null,{"$f":"ROW()","v":53},null,"Fare Collection"]
[null,"Total NYC Transit Windfall + Savings",null,null,{"$f":"CONCATENATE(\"Sum of figures in Rows \",N51, \"-\",N53, \".\")","v":"Sum of figures in Rows 51-53."},null,null,null,null,null,{"$f":"SUM(K51:K53)","v":310},null,null,{"$f":"ROW()","v":54}]
[null,"NYC Transit Fare Adjustments",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,"$1.00 NYC Bus Fares (in \"subway deserts\")",null,null,"Revenue loss if selected plan offers $1.00 fare for buses serving residents > 1/3-mile from subway",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K255=\"YES\",Buses!J331,0)","v":0},null,{"$f":"ROW()","v":56},null,"Buses"]
[null,"Other Bus Fare Discounts",null,null,"Revenue loss if selected plan discounts some bus fares (other than via directly preceding element)",null,null,null,null,null,null,0,"These cells are zero'd out, pending possible (unlikely) discount offer.",{"$f":"ROW()","v":57},null,"Revenues"]
[null,"Subway Fare Discounts",null,null,"Revenue loss if selected plan discounts some subway fares",null,null,null,null,null,null,0,null,{"$f":"ROW()","v":58},null,"Revenues"]
[null,"Total NYC Transit Fare Adjustments",null,null,{"$f":"CONCATENATE(\"Sum of figures in Rows \",N56, \"-\",N58, \".\")","v":"Sum of figures in Rows 56-58."},null,null,null,null,null,null,{"$f":"SUM(L56:L58)","v":0},null,{"$f":"ROW()","v":59}]
[null,"Other Transit Fare Adjustments",null,null,null,null,null,null,null,null,null,null,"All figures are in millions of dollars and are annual (recurring). We've rounded them to the nearest $5 million, for easier compre-hension.",{"$f":"ROW()","v":60}]
[null,"Commuter Rail Farebox: Blanket Discounts",null,null,"Revenue loss if selected plan discounts all Metro-North and LIRR Commuter Rail Road fares",null,null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!J247/1000000,-1)","v":0},null,{"$f":"ROW()","v":61},null,"Revenues"]
[null,"Commuter Rail Farebox: Intra-City Trip Discounts",null,null,"Revenue loss if selected plan expands/extends \"City Ticket\" discounts on M-N and LIRR intra-city rides ",null,null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!M386/1000000,-1)","v":0},null,{"$f":"ROW()","v":62},null,"Revenues"]
[null,"Express Bus Farebox: Blanket Discounts",null,null,"Revenue loss if selected plan reduces fares on MTA Express Buses ",null,null,null,null,null,null,{"$f":"0.5*ROUND(2*Revenues!I226/1000000,-1)","v":20},null,{"$f":"ROW()","v":63},null,"Revenues"]
[null,"Total Other Transit Fare Adjustments",null,null,{"$f":"CONCATENATE(\"Sum of figures in Rows \",N61, \"-\",N63, \".\")","v":"Sum of figures in Rows 61-63."},null,null,null,null,null,null,{"$f":"SUM(L61:L63)","v":20},null,{"$f":"ROW()","v":64}]
[null,"Revenue Adjustments and Allocations",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Tax $ from zeroing Manhattanites' parking break",null,null,"Sales tax gain from eliminating surtax exemption granted to qualifying Manhattan monthly parkers",null,null,null,null,null,{"$f":"0.5*ROUND(2*Parking!I484/1000000,-1)*IF('Policy Levers'!K119=\"YES\",1,0)","v":0},null,null,{"$f":"ROW()","v":66},null,"Parking"]
[null,"Payment to PANYNJ to Offset Reduced Tolls",null,null,"If NYC and/or MTA compensate PA for lost revenue due to lesser use of GWB or other crossings. ",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K92=\"YES\",-0.5*ROUND(2*Revenues!P184/1000000,-1),0)","v":0},null,{"$f":"ROW()","v":67},null,"Revenues"]
[null,"CBD Toll Revenue Appropriated by NYC (if any)",null,null,{"$f":"CONCATENATE(\"Product of (i) Row \",N40, \", (ii) Cell I\",Approaches!O226, \" in 'Approaches' tab, and (iii) Cell K\",'Policy Levers'!O101, \" in 'Policy Levers' tab.\")","v":"Product of (i) Row 40, (ii) Cell I226 in 'Approaches' tab, and (iii) Cell K101 in 'Policy Levers' tab."},null,null,null,null,null,null,{"$f":"0.5*ROUND(2*'Policy Levers'!K101*Approaches!I226*K40,-1)","v":0},null,{"$f":"ROW()","v":68},null,"Results&Approach."]
[null,"Total Net Income (Revenue)",null,null,null,null,null,"Cell at right is sum of yellow-colored cells in Col. I, less yellow-colored cells in Col. J.",null,null,{"$f":"ROUND(K40+K44+K46+K47+K49+K54+K66-L67-L68,-1)","v":1910},null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Outflows ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Spending and Allocations",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Revenues Invested in System Improvements (Capital)",null,null,"Portion of annual revenue stream dedicated to transit capital plan.",null,null,null,null,null,null,{"$f":"'Policy Levers'!K198*IF('Policy Levers'!K191=\"YES\",1,0)","v":1000},null,{"$f":"ROW()","v":73}]
[null,"Revenues Spent on Service Enhancements (Operating)",null,null,"Portion of annual revenue stream spent on expanding transit service w/o capital investment.",null,null,null,null,null,null,{"$f":"'Policy Levers'!K201","v":60},null,{"$f":"ROW()","v":74}]
[null,"Revenues Spent on Roads and Bridges",null,null,"Portion of annual revenue stream spent on maintaining and improving NY-area roads and bridges.",null,null,null,null,null,null,{"$f":"'Policy Levers'!K205","v":1.0000000000000001E-5},null,{"$f":"ROW()","v":75}]
[null,"Revenues Spent on Fare Support (discounts)",null,null,"Portion of annual revenue stream spent on discounts to certain fares.",null,null,null,null,null,null,{"$f":"L59+L64","v":20},null,{"$f":"ROW()","v":76}]
[null,"Total Spending and Allocations",null,null,null,null,null,null,null,null,"Cell at right is sum of light blue-colored cells in Col. J.",{"$f":"L48+SUM(L73:L76)","v":1080.00001},null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Net Income (Revenues Less Expenditures)",null,null,null,null,null,null,null,null,"In case of deficit (indicated by red), user must reduce road and/or transit expenditures, in \"Policy Levers\" tab.",{"$f":"K69-L77","v":829.99999000000003},null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"2. Revenues and Expenditures Graphs",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,{"$f":"'Cost-Benefit'!I6","v":"Fix NYC higher-range plan"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,{"$f":"CONCATENATE(\"3. Tax Alternatives ─ amounts by which other taxes must rise throughout 12-county MTA region if revenue isn't generated through \",Select_Plan_Box, \".\")","v":"3. Tax Alternatives ─ amounts by which other taxes must rise throughout 12-county MTA region if revenue isn't generated through Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Incremental sales tax increase to yield net revenue projected from selected plan:",null,null,null,null,{"$f":"'Taxes Instead'!J87","v":7.7767146434315265E-3},{"$f":"CONCATENATE(\"This figure is shown in Row \",'Taxes Instead'!L87, \" of 'Taxes Instead' wksheet and is derived there.\")","v":"This figure is shown in Row 87 of 'Taxes Instead' wksheet and is derived there."},null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"or",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Incremental increase in motor fuels tax to yield net revenue projected from that plan:",null,null,null,null,{"$f":"'Taxes Instead'!J133","v":0.64309764309764306},{"$f":"CONCATENATE(\"This figure is shown in Row \",'Taxes Instead'!L133, \" of 'Taxes Instead' worksheet and is derived in that tab.\" )","v":"This figure is shown in Row 133 of 'Taxes Instead' worksheet and is derived in that tab."},null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"or",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Incremental increase in Payroll Mobility Tax to yield net revenue projected from the plan:",null,null,null,null,{"$f":"'Taxes Instead'!J151","v":3.3612836438923393E-3},{"$f":"CONCATENATE(\"This figure is shown in Row \",'Taxes Instead'!L151, \" of 'Taxes Instead' worksheet and is derived in that tab.\" )","v":"This figure is shown in Row 151 of 'Taxes Instead' worksheet and is derived in that tab."},null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"or",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Incremental increase in annual auto-registration charge (this item applies only to NYC):",null,null,null,null,{"$f":"'Taxes Instead'!J162","v":1016.2471853677431},{"$f":"CONCATENATE(\"This figure is shown in Row \",'Taxes Instead'!L162, \" of 'Taxes Instead' worksheet and is derived in that tab.\" )","v":"This figure is shown in Row 162 of 'Taxes Instead' worksheet and is derived in that tab."},null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"or",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Subway fare hike to pay debt service on Albany's unfunded capital plan obligation:",null,null,null,null,{"$f":"'Taxes Instead'!J311","v":8.2514101384043526E-2},{"$f":"CONCATENATE(\"This figure is shown in Row \",'Taxes Instead'!L311, \" of 'Taxes Instead' worksheet and is derived there. It does NOT nearly cover replaced Move NY funds -- only the debt service on Albany's capital plan obligation.\" )","v":"This figure is shown in Row 311 of 'Taxes Instead' worksheet and is derived there. It does NOT nearly cover replaced Move NY funds -- only the debt service on Albany's capital plan obligation."},null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"4. Travel Results (speeds, time savings, people entering CBD, transit usage, taxi trips, etc.)",null,null,null,null,null,"\"CBD\" denotes all of Manhattan south of 60th St.)","Click for table of VMT changes in specific districts",null,null,null,null,{"$f":"ROW()","v":114}]
[null,"(all figures are 5 years out, when transit investments have borne fruit)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,"Worksheet where calc'd",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Weekday Traffic Speeds & VMT",null,null,null,null,null,null,"Roads to and from CBD",null,null,null,null,{"$f":"ROW()","v":117},null,"Revenues","Spending","Time $","Hours/106"]
[null,null,null,null,"Motor Vs","Note: \"VMT\" (Vehicle Miles Traveled) measures the amount of driving.",null,"within CBD",null,null,null,null,null,{"$f":"ROW()","v":118},null,"Graph inputs. Do not disturb!"]
[null,"Speed gain, 6am - 6pm",null,null,null,null,"Change:",{"$f":"'Motor Vs'!G1029-1","v":0.2070877991183786},{"$f":"'Motor Vs'!G1034-1","v":7.0741798092404551E-2},null,null,null,null,{"$f":"ROW()","v":119},null,{"$f":"K38","v":940},{"$f":"-K39","v":115},{"$f":"H127","v":1560},{"$f":"'Cost-Benefit'!K235*Travel!H104/1000000","v":45.368938378972437},"Driver + Passenger time savings include buses, but counted only at avg auto occupancies from Travel worksheet (betw 1-1.5) rather than actual ~20. Thus, bus inclusion causes only a minor overestimate of total hour saved."]
[null,"Speed gain, 24-hour",null,null,null,null,"Change:",{"$f":"'Motor Vs'!H1029-1","v":0.20450595074543432},{"$f":"'Motor Vs'!H1034-1","v":6.3304879331889552E-2},null,null,null,null,{"$f":"ROW()","v":120},null,{"$f":"K42","v":0},{"$f":"L48","v":0},{"$f":"I127","v":800},{"$f":"'Cost-Benefit'!K249*Travel!H104/1000000","v":42.827684947003775}]
[null,"VMT change, 6am - 6pm",null,null,null,null,"Change:",{"$f":"'Motor Vs'!G1042-1","v":-7.9132887213657188E-2},{"$f":"('Motor Vs'!G1046-1)*Approaches!$F$22","v":-6.9360861759780804E-2},null,null,null,null,{"$f":"ROW()","v":121},null,{"$f":"K43","v":0},{"$f":"L73","v":1000},{"$f":"ROUND('Cost-Benefit'!K58,-1)","v":1650},{"$f":"('Cost-Benefit'!K137+'Cost-Benefit'!K166+'Cost-Benefit'!I200)/1000000","v":96.97514052152367}]
[null,"VMT change, annual average (24x365)",null,null,null,null,"Change:",{"$f":"VMT!K45","v":-6.3871587999431351E-2},{"$f":"('Motor Vs'!H1046-1)*Approaches!$F$22","v":-5.5875803529092292E-2},null,null,null,null,{"$f":"ROW()","v":122},null,{"$f":"K51+K52","v":310},{"$f":"L74","v":60},{"$f":"SUM(R119:R121)","v":4010},{"$f":"SUM(S119:S121)","v":185.1717638474999}]
[null,"Number of CBD entries, % change, 6am - 6pm",null,null,null,null,"Change:",{"$f":"'Motor Vs'!N986","v":-0.20207787604679897},"NA",null,null,null,null,{"$f":"ROW()","v":123},null,{"$f":"K47+K46","v":385},{"$f":"L75","v":1.0000000000000001E-5}]
[null,"Number of CBD entries, % change, 24 hours",null,null,null,null,"Change:",{"$f":"'Motor Vs'!N985","v":-0.12918917287719328},"NA",null,null,null,null,{"$f":"ROW()","v":124},null,{"$f":"K66","v":0},{"$f":"L58","v":0}]
[null,null,null,null,null,null,null,"Trips that make some use of CBD","Trips that make zero use of CBD",null,null,null,null,{"$f":"ROW()","v":125},null,{"$f":"SUM(P119:P124)","v":1635},{"$f":"L57+L56","v":0}]
[null,"Time Savings",null,null,"Cost-Benefit",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126},null,null,{"$f":"L62","v":0}]
[null,"Time Savings to Drivers (vehicle users), millions per year",null,null,null,null,null,{"$f":"ROUND('Cost-Benefit'!H63,-1)","v":1560},{"$f":"ROUND('Cost-Benefit'!H64,-1)","v":800},null,null,null,null,{"$f":"ROW()","v":127},null,null,{"$f":"L63","v":20}]
[null,"Extra Savings to Bus Riders if zero fare (saving from faster traffic is subsumed in prior row)",null,null,null,null,null,{"$f":"'Cost-Benefit'!I206","v":0},null,null,null,null,null,{"$f":"ROW()","v":128},null,null,{"$f":"L67","v":0}]
[null,"Total Time Savings ($ millions)",null,null,null,null,null,{"$f":"SUM(H127:I128)","v":2360},null,null,null,null,null,{"$f":"ROW()","v":129},null,null,{"$f":"L79","v":829.99999000000003}]
[null,null,null,null,null,"Before","After","Change","Change, %",null,null,null,null,{"$f":"ROW()","v":130},null,null,{"$f":"SUM(Q119:Q129)","v":2025}]
[null,"Number of Persons Traveling to CBD on a Typical Weekday",null,null,null,{"$f":"Travel!G182","v":3472000},{"$f":"Travel!H182","v":3624000},{"$f":"Travel!I182","v":152000},{"$f":"Travel!J182","v":4.377880184331797E-2},null,null,null,null,{"$f":"ROW()","v":131}]
[null,"(via subway, bus and auto combined; excludes commuter rail, medallion taxi, bike, walk, ferry)",null,null,null,"Click here to go to tab where these figures are calculated.",null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,"Worksheet where calc'd",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Total Driving in NYC (vehicle miles traveled)",null,null,"VMT","(excludes proj'd VMT ∆ on MTA bridges)",null,"Change:",{"$f":"VMT!I22","v":-3.3407565903374528E-2},null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Subway Usage",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"365-day increase (weekdays + weekends/holidays)",null,null,"Subways",null,null,"Change:",{"$f":"Subways!AN398","v":9.5679987198107289E-2},null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Weekday increase, 24h",null,null,null,null,null,"Change:",{"$f":"Subways!M512","v":9.2319220637832267E-2},null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Weekday increase, a.m. peak (8-9)",null,null,null,null,null,"Change:",{"$f":"Subways!X398","v":8.9277062406624863E-2},null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Weekday increase, p.m. peak (5-6)",null,null,null,null,null,"Change:",{"$f":"Subways!AG398","v":8.322272328471593E-2},null,null,null,null,{"$f":"ROW()","v":142}]
[null,"E. MTA Bus Co.",null,null,null,null,null,"Change:",{"$f":"Subways!AN400","v":9.8040329194772013E-2},null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Peaks and valleys of Mon-Fri subway use (Gini coefficient)",null,null,"Gini","Negative figure denotes peak-leveling.",null,"Change:",{"$f":"Gini!C81","v":-7.7528421811708936E-3},null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Subway Speeds",null,null,"Subway v. Bus",{"$f":"IF('Policy Levers'!K191=\"YES\",CONCATENATE(\"Speed gain is some years in future, after transit investments have borne fruit.\"),\"Speed gain is immediate, before transit investments have borne fruit.\")","v":"Speed gain is some years in future, after transit investments have borne fruit."},null,null,{"$f":"'Cost-Benefit'!K164","v":0.12347377547981143},null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Bus Usage",null,null,"Buses","(all days, i.e., 365 days/yr)",null,"Change:",{"$f":"Buses!H136","v":1.2983873663543515E-2},null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"NYC Transit Fares",null,null,"Subways, Buses","Subways",null,"Buses",null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,"Fare","Change","Fare","Change",null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Current (2016) actual average fare",null,null,"Subways, Buses",{"$f":"Subways!R513","v":2.0296375024531423},null,{"$f":"Buses!H74","v":1.9754622261714638},null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"New fare (with pricing), weekdays",null,null,null,{"$f":"Subways!R514","v":2.0243706056063218},{"$f":"F154/F$153-1","v":-2.5949938550380303E-3},{"$f":"Buses!I196","v":1.9754622261714641},{"$f":"H154/H$153-1","v":0},null,null,null,null,{"$f":"ROW()","v":154}]
[null,"New fare (with pricing), 365 days",null,null,null,{"$f":"Subways!R518","v":2.0253186174565867},{"$f":"F155/F$153-1","v":-2.1279095362277678E-3},{"$f":"Buses!H196","v":1.9754622261714641},{"$f":"H155/H$153-1","v":0},null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Medallion Taxicab Usage (# fare trips, 365 days)",null,null,"Revenues",null,null,"# Change:",{"$f":"ROUND((Revenues!K73-Revenues!K71)*1000000+UberLyft!V238,-5)","v":-4800000},null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,"Change:",{"$f":"(I157/1000000)/Revenues!K71","v":-4.4216217013721228E-2},null,null,null,null,{"$f":"ROW()","v":158}]
[null,"UberLyft Usage (# fare trips, 365 days)",null,null,"Revenues",null,null,"# Change:",{"$f":"ROUND((Revenues!O73-Revenues!O71)*1000000-UberLyft!V238,-5)","v":6200000},null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,"% Change:",{"$f":"(I159/1000000)/Revenues!O71","v":2.7758753471601869E-2},null,null,null,null,{"$f":"ROW()","v":160}]
[null,"5. Incidence (Who Pays?)",null,null,"Incidence","Results exclude existing tolls; they include all changes, e.g., CBD toll, new FHV surcharges, MTA bridge discounts. ",null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,null,"Click link above to go to that tab",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Within NYC",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"5-borough residents' share of the new revenues",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",Incidence!$L$426)","v":0.69975305526804754},"Programming note: Most cells in column to left employ \"IF\" statement to avoid dividing by zero if user has selected \"baseline\" (no toll) scenario.",null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Borough or County whose residents will bear the highest share of the new tolls",null,null,null,null,null,{"$f":"Incidence!G430","v":"Manhattan"},null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Share of new toll payments to be borne by residents of that (#1 incidence) borough",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",MAX(Incidence!$G$426:$K$426))","v":0.32459531255278412},null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Borough or County whose residents will bear the second highest share of the new tolls",null,null,null,null,null,{"$f":"Incidence!G431","v":"Brooklyn"},null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Share of new toll payments to be borne by residents of that (#2 incidence) borough",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",LARGE(Incidence!$G$426:$K$426,2))","v":0.14103920614474982},null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,{"$f":"CONCATENATE(\"Percentage points by which toll payment share for \",H165,\" will exceed that for \",H167,\"\")","v":"Percentage points by which toll payment share for Manhattan will exceed that for Brooklyn"},null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",H166-H168)","v":0.1835561064080343},null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"Manhattan residents' new toll payments as a percentage of all of New York City's",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",Incidence!I414/H164)","v":0.46444956196083409},null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Outside NYC",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"Share of new toll payments borne by residents of 7 counties in MTA region outside NYC",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",Incidence!T414-Incidence!L414)","v":0.16402953290324185},null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Share of new toll payments borne by residents of New Jersey",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",Incidence!$U$426)","v":8.2057249458069761E-2},null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"Share of new toll payments not borne by residents of MTA region or NJ (CT, PA, further states, tourists)",null,null,null,null,null,{"$f":"IF(ABS($K$69)<0.1,\"NA\",1-H164-H172-H173)","v":5.4160162370640849E-2},null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"Remainder of worksheet is reserved area for graphing. Please do not disturb."]
[]
[null,{"$f":"CONCATENATE(\"Attached array feeds into Revenue bar chart in Rows \",$N$83, \"-\",$N$99, \". Quantities are pulled from Rows \",$N$38, \"-\",$N$66, \", Column I.\")","v":"Attached array feeds into Revenue bar chart in Rows 83-99. Quantities are pulled from Rows 38-66, Column I."}]
[null,null,null,null,null,"New or Changed Road Tolls","MTA Windfalls","For-Hire\nVehicle \nSurcharges","End Parking Tax Break","Total Net Revenue"]
[null,"Zero Out Manhattanites' Parking Rebate",null,null,null,null,null,null,{"$f":"K66","v":0}]
[null,"More Taxi Trips Paying \"Ravitch\" Surcharge",null,null,null,null,null,{"$f":"K47","v":0}]
[null,"UberLyft (and other TNC's) Surcharge",null,null,null,null,null,{"$f":"K49","v":390}]
[null,"New For-Hire Vehicle Surcharge",null,null,null,null,null,{"$f":"K46","v":385}]
[null,"More Transit Riders",null,null,null,null,{"$f":"K51+K52","v":310}]
[null,"Greater Use of Outer-Borough Bridges",null,null,null,null,{"$f":"K43","v":0}]
[null,"Outer-Borough Toll Relief",null,null,null,{"$f":"K42","v":0}]
[null,"Toll & Fare Administration",null,null,null,{"$f":"K39","v":-115}]
[null,"CBD Toll",null,null,null,{"$f":"K38","v":940}]
[null,"Net (Sum of All Prior Items)",null,null,null,null,null,null,null,{"$f":"J190","v":1910}]
[null,"F. Commuter Railroads",null,null,"Column Sums (check):",{"$f":"SUM(F180:F188)","v":825},{"$f":"SUM(G180:G188)","v":310},{"$f":"SUM(H180:H188)","v":775},{"$f":"SUM(I180:I188)","v":0},{"$f":"ROUND(SUM(F190:I190),-1)","v":1910}]
[]
[null,{"$f":"CONCATENATE(\"Attached array feeds into Expenditures bar chart in Rows \",$N$83, \"-\",$N$99, \". Quantities are pulled from Rows \",$N$73, \"-\",$N$76, \", Column J.\")","v":"Attached array feeds into Expenditures bar chart in Rows 83-99. Quantities are pulled from Rows 73-76, Column J."}]
[null,null,null,null,"Transit Capital: System Improvements & Expansions","Transit Operations: Enhanced Service","Roads & Bridges ","Fare Support","Reserve","Total Expenditures"]
[null,"Reserve",null,null,null,null,null,null,{"$f":"L79","v":829.99999000000003}]
[null,"Taxi Driver Health Fund",null,null,null,null,null,null,{"$f":"L48","v":0}]
[null,"Express Bus Discounts",null,null,null,null,null,{"$f":"L63","v":20}]
[null,"Intra-City Commuter Rail Discounts",null,null,null,null,null,{"$f":"L62","v":0}]
[null,"Outer-Borough Bus Fare Discounts",null,null,null,null,null,{"$f":"L56","v":0}]
[null,"Subway + Other Bus Fare Discounts",null,null,null,null,null,{"$f":"L58+L57","v":0}]
[null,"Maintain/Improve Roads & Bridges ",null,null,null,null,{"$f":"L75","v":1.0000000000000001E-5}]
[null,"State of Good Repair + Increase Service",null,null,null,{"$f":"L74","v":60}]
[null,"State of Good Repair + Increase Access to Transit",null,null,{"$f":"L73","v":1000}]
[null,"Total (Sum of Prior Items except Reserve)",null,null,null,null,null,null,null,{"$f":"J204","v":1080.00001}]
[null,"Column Sums (check):",null,null,{"$f":"SUM(E194:E202)","v":1000},{"$f":"SUM(F194:F202)","v":60},{"$f":"SUM(G194:G202)","v":1.0000000000000001E-5},{"$f":"SUM(H194:H202)","v":20},{"$f":"SUM(I195:I202)","v":0},{"$f":"SUM(E204:I204)","v":1080.00001}]
[]
[]
[]
[null,"Plan",null,null,"A. If all net revenues are invested",null,null,"B. Day One (no transit investments in advance)",null,null,"How we set other parameters in Policy Levers"]
[null,null,null,null,"Net Revenue ($Millions)","CBD Speed Gain (M-F 6am-6pm)","$$ borne by Man-hattan residents","Net Revenue ($Millions)","CBD Speed Gain (M-F 6am-6pm)","$$ borne by Man-hattan residents"]
[]
[]
[null,"1. Move NY Plan (includes toll swap, tolling 24-7)",null,null,1510,0.22334197229796701,0.245,1440,0.12881415338810701,0.22900000000000001,"A. As specified in Policy Levers tab, Option #4"]
[null,null,null,null,null,null,null,null,null,null,"B. Same, but transit invstmnt = $0."]
[null,"2. MNY tolls M-F 6am-8pm, add $2.00 M-F 7-9 am, drop to $2.75 all other hours",null,null,1180,0.192,0.247,1110,0.129,0.23400000000000001,"A. Transit invstmnt = $650M/y. All off-pk FHV = 50%."]
[null,null,null,null,null,null,null,null,null,null,"B. Same, but transit invstmnt = $0."]
[]
[null,"3. MNY but weekends tolled only Noon ─ 10 pm",null,null,1280,0.20200000000000001,0.30199999999999999,1220,0.12881415338810701,0.28100000000000003,"A. Transit invstmnt = $750M/y. Weekend FHV = 25%."]
[null,null,null,null,null,null,null,null,null,null,"B. Same, but transit invstmnt = $0."]
[null,"4. Possible Fix NY Plan #1: No toll swap; tolls or surcharges apply only M-F 14h; FHV's pay cordon toll + 50¢ drop-surcharge; thru trips are charged just once"]
[null,null,null,null,930,0.19900000000000001,0.126,790,0.10199999999999999,0.12,"A. As specified in Policy Levers tab, Option #2"]
[null,null,null,null,null,null,null,null,null,null,"B. Same, but transit invstmnt = $0."]
[null,"5. Possible Fix NY Plan #2: Same as #4, except cordon toll = $2.75 and FHV drop-surcharge = 25¢"]
[null,null,null,null,400,9.8265914831769496E-2,0.12,310,5.44406664025145E-2,0.11700000000000001,"A. Per spec's in \"Plan\" col (at left). Transit inv = $400M/y."]

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[null,"Policy Levers",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This tab, formerly called 'User Inputs', contains the key policy inputs that define our six \"packaged\" toll scenarios. Users may alter them, if they wish.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,{"$f":"CONCATENATE(\"There are \",B258, \" categories of inputs, encompassing toll levels, transit fare levels, for-hire vehicle surcharges, etc., with multiple 'tweaks' for each.\")","v":"There are 59 categories of inputs, encompassing toll levels, transit fare levels, for-hire vehicle surcharges, etc., with multiple 'tweaks' for each."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,{"$f":"CONCATENATE(\"Values in Columns F through J correspond to various proposed NYC toll plans. The 'Switch' that enables you to select from among these plans is located in Cell K\",Results!N27, \" of 'Results' worksheet tab.\")","v":"Values in Columns F through J correspond to various proposed NYC toll plans. The 'Switch' that enables you to select from among these plans is located in Cell K27 of 'Results' worksheet tab."},null,null,null,null,null,null,null,"RESULTS SNAPSHOT (for full results, click link:)",null,null,null,"Link to Results Page",{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,"Selected Plan:",null,null,null,{"$f":"Results!K27","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":9}]
[null,"You can use this worksheet not only to test different toll and fare scenarios, but to alter them. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Simply change the pertinent setting(s) in those columns. If you wish to save the BTA with your settings, use a different filename. That way, you can reload the model w/o your changes. (Of course, you can always re-download the BTA, via link: http://www.nnyn.org/kheelplan/BTA_1.1.xls.)",null,null,null,null,null,null,null,"Average CBD speed gain, 8 a.m. - 6 p.m.:",null,null,null,{"$f":"Results!$B$14","v":0.20708779911837905},{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,"Annual net revenue (after netting tolling administration, toll discounts (if any), etc.):",null,null,null,{"$f":"Results!E14","v":1910000000},{"$f":"ROW()","v":13}]
[null,"Values in blue font in \"Baseline\" Column E are set to duplicate 2019 traffic and transit status quo. If that scenario has been selected, all results (changes in revenue, traffic, transit use, etc.) should equal zero, indicating that the model results replicate current conditions (i.e., the model is correctly \"initialized.\") ",null,null,null,null,null,null,null,null,null,null,null,"million / yr",{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,"Manhattan residents' share of net new tolls:",null,null,null,{"$f":"Incidence!I426","v":0.32459531255278412},{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,"Plan",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,{"$f":"CONCATENATE(\"Calculations operate off plan chosen in 'Results' worksheet, Cell I\",Results!N27, \".\")","v":"Calculations operate off plan chosen in 'Results' worksheet, Cell I27."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,"Excel copies values from selected column to Col. K, whence they enter the \"bloodstream\" of the model.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Input Parameters",null,"Some details about parameter values","Baseline","Fix NYC lower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan (Flat Toll)","Move NY Plan w Variable Tolls","Figures in this column automatically assume values of plan selected in 'Results' tab.","Work-sheet featuring the parameter","Location within that worksheet","What This 'Parameter' Is or Does",{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,{"$f":"CONCATENATE(\"Toll levels below apply to all inbound CBD crossings. For them to also apply outbound, Row \",O27, \" must be set to 2 (so toll is charged both ways).\")","v":"Toll levels below apply to all inbound CBD crossings. For them to also apply outbound, Row 27 must be set to 2 (so toll is charged both ways)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,1,"Toll One Direction or Two?","Values:",1,1,1,2,2,2,{"$f":"INDEX($E27:$J27,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},"Cordon",null,"This parameter ensures that toll admin costs est'd in Cordon worksheet reflect actual number of trips subjected to tolling. ",{"$f":"ROW()","v":27}]
[null,null,null,"1 or 2","If \"2\" is selected, tolls shown below are charged twice (once each way) .",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,{"$f":"B27+1","v":2},"Weekday Cordon Tolls\n","Weekday Toll Intervals","Toll intervals are pre-set and can't be changed. But you may vary *amounts.*",null,null,null,null,null,null,"Weekday Hour","Box, \"Weekday Toll Levels,\" near top of Cols. G & H","BTA can handle 7 weekday cordon toll levels (which we've collapsed here into 5). While tolls can be any amount, we've tried to steer clear of complex toll structures. ",{"$f":"ROW()","v":29}]
[null,null,{"$f":"CONCATENATE(\"If Row \",O$27, \" = 2, toll shown =  ½ of what driver pays for round trip.\")","v":"If Row 27 = 2, toll shown =  ½ of what driver pays for round trip."},"11 pm - 5 am (6 hrs)",0,0,0,2.75,{"$f":"MTA_1Way_EZPass_2019","v":6.12},2.75,{"$f":"MAX(0.00001,INDEX($E30:$J30,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,"5-6 am + 8-11 pm (4 hrs)",0,0,0,2.75,{"$f":"MTA_1Way_EZPass_2019","v":6.12},2.75,{"$f":"MAX(0.00001,INDEX($E31:$J31,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":31}]
[null,null,{"$f":"CONCATENATE(\"Values shown here may end up being reduced by 'downstream' provisions in Items \",$B$64,\" & \",$B$68, \", or increased by Items \",$B$95,\" or \",$B$98,\".\")","v":"Values shown here may end up being reduced by 'downstream' provisions in Items 9 & 10, or increased by Items 17 or 18."},"10 am - 2 pm (4 hrs)",0,{"$f":"2*MTA_1Way_EZPass_2019","v":12.24},12.24,{"$f":"MTA_1Way_EZPass_2019","v":6.12},{"$f":"MTA_1Way_EZPass_2019","v":6.12},8,{"$f":"MAX(0.00001,INDEX($E32:$J32,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":12.24},null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,"9-10 am + 2-8 pm (7 hrs)",0,12.24,12.24,{"$f":"MTA_1Way_EZPass_2019","v":6.12},{"$f":"MTA_1Way_EZPass_2019","v":6.12},8,{"$f":"MAX(0.00001,INDEX($E33:$J33,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":12.24},null,null,"Weekday Hours worksheet shows hours of day that make up each toll interval. ",{"$f":"ROW()","v":33}]
[null,null,null,"6-9 am (3 hrs)",0,12.24,12.24,{"$f":"MTA_1Way_EZPass_2019","v":6.12},{"$f":"MTA_1Way_EZPass_2019","v":6.12},8,{"$f":"MAX(0.00001,INDEX($E34:$J34,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":12.24},null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,{"$f":"CONCATENATE(\"Note: Formulas for Cells K\",O30, \"-K\",O41, \" use 'max' algorithm to ensure toll is non-zero (i.e., at least $0.001) to prevent computational instability in 'Incidence' tab.\")","v":"Note: Formulas for Cells K30-K41 use 'max' algorithm to ensure toll is non-zero (i.e., at least $0.001) to prevent computational instability in 'Incidence' tab."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,{"$f":"B29+1","v":3},"Weekend Cordon Tolls\n","Weekend Toll Intervals",null,null,null,null,null,null,null,"Weekend Hour","Box, \"Weekend Toll Levels,\" near top of Cols. AD & AE","BTA can handle 6 weekend cordon toll levels (which we've collapsed here into 4). While tolls can be any amount, we've tried to steer clear of complex toll structures. ",{"$f":"ROW()","v":36}]
[null,null,{"$f":"CONCATENATE(\"If Row \",O$27, \" = 2, toll shown =  ½ of what driver pays for round trip.\")","v":"If Row 27 = 2, toll shown =  ½ of what driver pays for round trip."},"Midnight - 10 am (10 hrs)",0,0,0,2.75,{"$f":"MTA_1Way_EZPass_2019","v":6.12},2.75,{"$f":"MAX(0.00001,INDEX($E37:$J37,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,"10-12 am + 10-12 pm (4 h)",0,0,0,2.75,{"$f":"MTA_1Way_EZPass_2019","v":6.12},2.75,{"$f":"MAX(0.00001,INDEX($E38:$J38,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":38}]
[null,null,{"$f":"CONCATENATE(\"Values shown here may end up being reduced by 'downstream' provisions in Items \",$B$64,\" & \",$B$68, \", or increased by Items \",$B$95,\" or \",$B$98,\".\")","v":"Values shown here may end up being reduced by 'downstream' provisions in Items 9 & 10, or increased by Items 17 or 18."},"Noon-5 + 8-10 pm (7 h)",0,0,{"$f":"2*MTA_1Way_EZPass_2019","v":12.24},{"$f":"MTA_1Way_EZPass_2019","v":6.12},{"$f":"MTA_1Way_EZPass_2019","v":6.12},6,{"$f":"MAX(0.00001,INDEX($E39:$J39,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":12.24},null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,"5-8 pm (3 hrs)",0,0,{"$f":"2*MTA_1Way_EZPass_2019","v":12.24},{"$f":"MTA_1Way_EZPass_2019","v":6.12},{"$f":"MTA_1Way_EZPass_2019","v":6.12},6,{"$f":"MAX(0.00001,INDEX($E40:$J40,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":12.24},null,null,"Weekend Hours worksheet shows hours of day that make up each toll interval. ",{"$f":"ROW()","v":40}]
[null,null,null,null,"NA","NA","NA","NA","NA","NA",{"$f":"MAX(0.00001,INDEX($E41:$J41,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,{"$f":"B36+1","v":4},"Debit Net Revenues for Toll Administrative Costs?","Values:","NO","YES","YES","YES","YES","YES",{"$f":"INDEX($E43:$J43,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},null,null,"This lever enables the Baseline scenario to record toll admin costs.",{"$f":"ROW()","v":43}]
[null,null,null,"YES or NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,{"$f":"B43+1","v":5},"Toll entire CBD cordon, or just the free bridges?","Values:","CORDON","CORDON","CORDON","CORDON","CORDON","CORDON",{"$f":"INDEX($E46:$J46,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"CORDON"},"Motor Vs",null,"BTA is designed to model cordon tolls \"(CORDON\") but can also approximate effects of only tolling East and Harlem River bridges (\"BRIDGES\"), as Ravitch Commission proposed in 2008-09, or East River bridges only (\"EAST\").",{"$f":"ROW()","v":46}]
[null,null,null,"CORDON","Trips crossing into Manhattan CBD via E Riv bridges and 60th St are tolled.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,"EAST","Trips crossing East River bridges (QBB, WBB, Manhattan, Brooklyn) are tolled.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,"BRIDGES","Trips crossing East River and Harlem River bridges are tolled.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"B46+1","v":6},"Toll Level for Harlem Riv bridges, % E Riv bridges","Values:",0,0.5,0.5,0.5,0.5,0.5,{"$f":"INDEX($E51:$J51,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.5},"Bridges",null,"Applies only to \"BRIDGES\" scenario in which CBD cordon is not tolled, and East and Harlem River bridges are tolled instead.",{"$f":"ROW()","v":51}]
[null,null,null,"Percent",{"$f":"CONCATENATE(\"%'s apply only if BRIDGES selected in Row \",O46,\". Otherwise, % defaults to zero.\")","v":"%'s apply only if BRIDGES selected in Row 46. Otherwise, % defaults to zero."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,{"$f":"B51+1","v":7},"Add cordon toll for Lincoln & Holland Tunnel trips? If so,  Flat (in $$) or % or Full?","Values:","FLAT","NONE","NONE","%","%","%",{"$f":"INDEX($E54:$J54,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NONE"},null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,"NONE, FLAT, % or FULL",{"$f":"CONCATENATE(\"$$ and %'s below apply only if Row \",O54,\" is 'FLAT' or '%', respectively.\nOtherwise, zero or full toll applies, depending on whether Row \",O54, \" is 'NONE' or 'FULL'.\")","v":"$$ and %'s below apply only if Row 54 is 'FLAT' or '%', respectively.\nOtherwise, zero or full toll applies, depending on whether Row 54 is 'NONE' or 'FULL'."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":56}]
[null,null,"If Flat toll, how much (in $$)?",null,0,4,0,2.75,2,2,{"$f":"MAX(0.00001,INDEX($E57:$J57,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":57}]
[null,null,"If % of cordon toll, what %?",null,0,0.2,0.4,0.5,0.33,0.33,{"$f":"INDEX($E58:$J58,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.4},null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,{"$f":"B54+1","v":8},"Add cordon toll for Q-Midtown & Bklyn-Batt Tunnel Trips on top of MTA toll?","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E60:$J60,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,"YES",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,"NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,{"$f":"B60+1","v":9},"Toll on trips entering Manhattan via QBB Upper Roadway? If so, what $$?","Values:","ZERO","ZERO","ZERO","ZERO","PARTIAL","PARTIAL",{"$f":"INDEX($E64:$J64,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"ZERO"},null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,"ZERO, PARTIAL or FULL",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,{"$f":"B64+1","v":10},"Exempt Bklyn Br trips that don't enter CBD","Values:","NO","YES","YES","YES","NO","NO",{"$f":"INDEX($E68:$J68,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},null,null,{"$f":"CONCATENATE(\"Cell K\",O68, \" feeds into Rows \",'Motor Vs'!O322, \"-\",'Motor Vs'!O328, \" via an IF statement that exempts a certain % of B Bridge trips from tolls.\")","v":"Cell K68 feeds into Rows 322-328 via an IF statement that exempts a certain % of B Bridge trips from tolls."},{"$f":"ROW()","v":68}]
[null,null,null,"YES, NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,{"$f":"B68+1","v":11},"Charge through-trips to re-enter the cordon?","Values:","NO","NO","NO","YES","YES","YES",{"$f":"INDEX($E71:$J71,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,"YES or NO",null,null,null,null,null,null,null,null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":73}]
[null,{"$f":"B71+1","v":12},"Discount  day's 2nd trip into the CBD?",null,"NO","YES","YES","YES","YES","YES",{"$f":"INDEX($E74:$J74,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},"Motor Vs","Row 302",null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,"If so, by how much?",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,"For autos",null,0,1,1,1,0,0,{"$f":"INDEX($E77:$J77,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},null,null,null,{"$f":"ROW()","v":77}]
[null,null,"For taxis & other FHV's",null,0,1,1,1,0,0,{"$f":"INDEX($E78:$J78,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},null,null,{"$f":"CONCATENATE(\"Taxi/FHV discount applies only if their trips into cordon have been 'set' to be tolled in the first place, per 'switches' in Rows \",O124, \" and \",O156,\".\")","v":"Taxi/FHV discount applies only if their trips into cordon have been 'set' to be tolled in the first place, per 'switches' in Rows 124 and 156."},{"$f":"ROW()","v":78}]
[null,null,"For trucks",null,0,1,1,1,1,1,{"$f":"INDEX($E79:$J79,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,{"$f":"B74+1","v":13},"Waive cordon toll for first trip of month by E-ZPass holders w/i MTA counties?","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E81:$J81,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O331,\"\")","v":"Row 331"},"This feature zeroes out, from each E-ZPass account on autos registered within the MTA 12-county region, the toll for the auto's first trip into or through the cordon, in each month.",{"$f":"ROW()","v":81}]
[null,null,null,"YES or NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,{"$f":"B81+1","v":14},"Non-Revenue Vehicles, % of Traffic Entering CBD",null,0,0.04,0.04,0.04,0.04,0.04,{"$f":"INDEX($E85:$J85,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.04},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O330,\", Column K\")","v":"Row 330, Column K"},"Exemptions for police, fire, disabled (maybe) + fare-beaters. Set at 2x QMT, BBT and Triboro Br. ",{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"B85+1","v":15},{"$f":"CONCATENATE(\"Carve-Outs (% eligible trips exempted from toll, beyond non-$ veh's inputted in #\",B85, \").\")","v":"Carve-Outs (% eligible trips exempted from toll, beyond non-$ veh's inputted in #14)."},null,0,0,0,0,0,0,{"$f":"INDEX($E88:$J88,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O333,\", Column K\")","v":"Row 333, Column K"},null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,"Motor Vs Weekends",null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"B88+1","v":16},"Compensate PANYNJ for reduced GWB toll rev?","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E92:$J92,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},"Revenues",{"$f":"CONCATENATE(\"Cell P\",'Motor Vs'!O161,\"\")","v":"Cell P161"},"Provides option to \"buy out\" Port Authority by compensating it for revenue lost as cordon toll reduces use of GW Bridge.",{"$f":"ROW()","v":92}]
[null,null,null,"YES or NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,{"$f":"B92+1","v":17},"1-way Cash Toll Surcharge (as % of E-ZPass Toll)",null,0,{"$f":"(MTA_1Way_Cash_2019-MTA_1Way_EZPass_2019)/MTA_1Way_EZPass_2019","v":0.55228758169934633},{"$f":"(MTA_1Way_Cash_2019-MTA_1Way_EZPass_2019)/MTA_1Way_EZPass_2019","v":0.55228758169934633},{"$f":"(MTA_1Way_Cash_2019-MTA_1Way_EZPass_2019)/MTA_1Way_EZPass_2019","v":0.55228758169934633},{"$f":"(MTA_1Way_Cash_2019-MTA_1Way_EZPass_2019)/MTA_1Way_EZPass_2019","v":0.55228758169934633},{"$f":"(MTA_1Way_Cash_2019-MTA_1Way_EZPass_2019)/MTA_1Way_EZPass_2019","v":0.55228758169934633},{"$f":"INDEX($E95:$J95,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.55228758169934633},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O307,\"\")","v":"Row 307"},"Per round-trip. Captures admin costs when E-ZPass not used.",{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"B95+1","v":18},"Truck cordon toll (average ratio to auto toll)",null,{"$f":"Trucks!F124","v":2.1514228987425548},2.2000000000000002,2.2000000000000002,{"$f":"Trucks!$E139","v":1.85},{"$f":"Trucks!$E139","v":1.85},{"$f":"Trucks!$E139","v":1.85},{"$f":"INDEX($E98:$J98,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":2.2000000000000002},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O286,\", Column AZ\")","v":"Row 286, Column AZ"},{"$f":"CONCATENATE(\"BTA 'graduates' truck tolls based on # of axles. Value is developed in 'Trucks' worksheet, at Row \",Trucks!U129, \". Figure is rounded.\")","v":"BTA 'graduates' truck tolls based on # of axles. Value is developed in 'Trucks' worksheet, at Row 129. Figure is rounded."},{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,{"$f":"B98+1","v":19},"Share of 60th St net toll revenues taken by NYC",null,0,0,0,0,0,0,{"$f":"INDEX($E101:$J101,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,"Is zero except for \"MTA Inputs\" scenario.",{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,{"$f":"B101+1","v":20},"Reduce MTA bridge tolls?",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,"Verrazano Bridge","Change in toll in each direction\n\n (Discount shown for Verrazano is doubled throughout the BTA, since its toll is charged in only one direction. For other MTA crossings, discounts apply in both directions.)",0,{"$f":"F$104*MTA_1Way_EZPass_2019","v":0},0,-1,-2.5,-2.5,{"$f":"INDEX($E105:$J105,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"MTA Crossings","Section C",null,{"$f":"ROW()","v":105}]
[null,null,"Triborough Br (Manhattan)",null,0,0,0,-1,-2.5,-2.5,{"$f":"INDEX($E106:$J106,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":106}]
[null,null,"Triborough Bridge (Bronx)",null,0,0,0,-1,-2.5,-2.5,{"$f":"INDEX($E107:$J107,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":107}]
[null,null,"Bronx Whitestone Bridge",null,0,0,0,-1,-2.5,-2.5,{"$f":"INDEX($E108:$J108,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":108}]
[null,null,"Throgs Neck Bridge",null,0,0,0,-1,-2.5,-2.5,{"$f":"INDEX($E109:$J109,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":109}]
[null,null,"Brooklyn Battery Tunnel",null,0,0,0,0,0,0,{"$f":"INDEX($E110:$J110,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":110}]
[null,null,"Queens Midtown Tunnel",null,0,0,0,0,0,0,{"$f":"INDEX($E111:$J111,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":111}]
[null,null,"Henry Hudson Bridge",null,0,0,0,-0.5,-1,-1,{"$f":"INDEX($E112:$J112,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":112}]
[null,null,"Marine Parkway Bridge",null,0,{"$f":"F$104*Rockaway_1Way_EZPass_2019","v":0},{"$f":"G$104*Rockaway_1Way_EZPass_2019","v":0},-0.5,-1,-1,{"$f":"INDEX($E113:$J113,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":113}]
[null,null,"Cross Bay Bridge",null,0,{"$f":"F$104*Rockaway_1Way_EZPass_2019","v":0},{"$f":"G$104*Rockaway_1Way_EZPass_2019","v":0},-0.5,-1,-1,{"$f":"INDEX($E114:$J114,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,{"$f":"B104+1","v":21},"Exempt upstream tolls on MTA bridges?","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E116:$J116,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},null,null,"Policy option to deduct tolls on MTA bridges from CBD tolls paid on same day, provided former is less than latter and E-ZPass is used.",{"$f":"ROW()","v":116}]
[null,null,null,"'YES' or 'NO'",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,{"$f":"B116+1","v":22},"End sales tax break for Manh residents' monthly parking?","Values:","NO","NO","NO","NO","YES","YES",{"$f":"INDEX($E119:$J119,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},"Parking","Section 6",{"$f":"CONCATENATE(\"Manhattan res. who park monthly can get 10.375% off 18.375% sales tax rate. Ending parking break raises revenue est'd in 'Parking' tab, Cell I\",Parking!O484, \".\")","v":"Manhattan res. who park monthly can get 10.375% off 18.375% sales tax rate. Ending parking break raises revenue est'd in 'Parking' tab, Cell I484."},{"$f":"ROW()","v":119}]
[null,null,null,"'YES' or 'NO'",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":121}]
[null,{"$f":"CONCATENATE(\"Next \",B151-B124+1,\" items, covering next \",O151-O124+1,\" rows, apply to yellow cabs (medallion taxis). Inputs for Ubers, Lyfts, etc. start in Row \",O154, \".\")","v":"Next 7 items, covering next 28 rows, apply to yellow cabs (medallion taxis). Inputs for Ubers, Lyfts, etc. start in Row 154."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,{"$f":"B119+1","v":23},"Do yellows pay cordon toll?","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E124:$J124,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},null,null,"This switch determines whether yellow cabs pay for crossing the cordon.",{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Trips in yellows can be surcharged per Row \",O141,\"-\",O143,\" $ adders to drop, mile, and/or per-minute charges ('DIRECT'); or as Row \",O135,\"-\",O137,\" % increments to drop, mileage & wait-time charges on taxi meter ('METER').\")","v":"Trips in yellows can be surcharged per Row 141-143 $ adders to drop, mile, and/or per-minute charges ('DIRECT'); or as Row 135-137 % increments to drop, mileage & wait-time charges on taxi meter ('METER')."},{"$f":"ROW()","v":125}]
[null,{"$f":"B124+1","v":24},"How are yellows surcharged? With % increments to meter, or with direct charges?","Values:","NONE","METER","METER","DIRECT","DIRECT","DIRECT",{"$f":"INDEX($E126:$J126,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"METER"},null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,"DIRECT,' 'METER,' 'NONE'",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,{"$f":"B126+1","v":25},"Zone boundary in which yellow cab surcharges apply","Values:",96,60,96,96,96,96,{"$f":"INDEX($E130:$J130,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":96},"Taxis",null,"60 or 96 or 110 means surcharge applies S of street shown (if 110 then up to 110 St on W side but only to 96 St on E). 'NONE' means applies everywhere.",{"$f":"ROW()","v":130}]
[null,null,null,"60' or '96' or '110' or NONE",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,{"$f":"CONCATENATE(\"Charges in three rows below are peak rates for yellows. They apply if and only if value in Cell K\",O$126, \" is METER, and only while a 'fare' is in the cab.\")","v":"Charges in three rows below are peak rates for yellows. They apply if and only if value in Cell K126 is METER, and only while a 'fare' is in the cab."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"B130+1","v":26},"Yellow surchrgs, using taxi METER syntax (@ wkdy peak)","NB: Due to arcane TLC fare structure, taxi per-mile & wait time charges affect fares differently than Uber charges.",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell F\",O135,\" applies the \",ROUND(100*Taxis!H$261,0), \"% of taxi trips that touch the taxi zone, as calc'd in 'Taxis' tab, Cell H\",Taxis!O$261, \", to the $2.00 drop charge for FixNYC FHV scenario C1. Cell G\",O135, \" does likewise except that it applies slightly more involved calc's from same row in 'Taxis' tab to the $5.00 drop in Fix NYC FHV scenario F6. The user is urged to view the formula bar to see the precise calculations.\")","v":"Cell F135 applies the 82% of taxi trips that touch the taxi zone, as calc'd in 'Taxis' tab, Cell H261, to the $2.00 drop charge for FixNYC FHV scenario C1. Cell G135 does likewise except that it applies slightly more involved calc's from same row in 'Taxis' tab to the $5.00 drop in Fix NYC FHV scenario F6. The user is urged to view the formula bar to see the precise calculations."},{"$f":"ROW()","v":133}]
[null,null,null,null,{"$f":"CONCATENATE(\"See N\",O133, \" text.\")","v":"See N133 text."},{"$f":"CONCATENATE(\"See notes in F\",O145, \"-H\",O147,\" and N\",O147, \" (text box).\")","v":"See notes in F145-H147 and N147 (text box)."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,"A. Drop ($ Increase)",null,0,{"$f":"2*Taxis!H261","v":1.6454},{"$f":"5*Taxis!L261+3*(Taxis!K261-Taxis!L261)","v":4.4055},0,0,0,{"$f":"MAX(0.00001,INDEX($E135:$J135,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":4.4055},null,null,null,{"$f":"ROW()","v":135}]
[null,null,"B. Per-Mile Rate ($ Incrs)",null,0,0,0,0,0,0,{"$f":"MAX(0.00001,INDEX($E136:$J136,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":136}]
[null,null,"C. Wait Time Rate ($ Incrs)",null,0,0,0,0,0.6,0.6,{"$f":"MAX(0.00001,INDEX($E137:$J137,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,{"$f":"B133+1","v":27},"Yellow surchrgs, w/ DIRECT rates on all seconds or miles",null,{"$f":"CONCATENATE(\"Charges in three rows below are peak rates for yellows. They apply if and only if value in Cell K\",O$126, \" is DIRECT, and only while a 'fare' is in the cab.\")","v":"Charges in three rows below are peak rates for yellows. They apply if and only if value in Cell K126 is DIRECT, and only while a 'fare' is in the cab."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell F\",O141,\" applies the \",ROUND(100*Taxis!H$261,0), \"% of taxi trips that touch the taxi zone, as calc'd in 'Taxis' tab, Cell H\",Taxis!O$261, \", to the $2.00 drop charge for FixNYC FHV scenario C1. Cell G\",O141, \" does likewise except that it applies slightly more involved calc's from same row in 'Taxis' tab to the $5.00 drop in Fix NYC FHV scenario F6. The user is urged to view the formula bar to see the precise calculations.\")","v":"Cell F141 applies the 82% of taxi trips that touch the taxi zone, as calc'd in 'Taxis' tab, Cell H261, to the $2.00 drop charge for FixNYC FHV scenario C1. Cell G141 does likewise except that it applies slightly more involved calc's from same row in 'Taxis' tab to the $5.00 drop in Fix NYC FHV scenario F6. The user is urged to view the formula bar to see the precise calculations."},{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,"A. Drop ($ Increase)",null,0,{"$f":"2*Taxis!H261","v":1.6454},{"$f":"5*Taxis!L261+3*(Taxis!K261-Taxis!L261)","v":4.4055},0,0,0,{"$f":"MAX(0.00001,INDEX($E141:$J141,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":4.4055},null,null,null,{"$f":"ROW()","v":141}]
[null,null,"B. Per-Mile Rate ($ Incrs)",null,0,0,0,0,0,0,{"$f":"MAX(0.00001,INDEX($E142:$J142,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":142}]
[null,null,"C. Per-Minute Rate ($ Incrs)",null,0,0,0,0.4,0.4,0.4,{"$f":"MAX(0.00001,INDEX($E143:$J143,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,{"$f":"B139+1","v":28},"Yellow taxi off-peak surchrg, % of peak surcharges above","'YES' or 'NO'",{"$f":"CONCATENATE(\"Cell N\",O145, \" box sums up how we calc'd Cells F\",O148, \"-H\",O149,\".\")","v":"Cell N145 box sums up how we calc'd Cells F148-H149."},"Inputs below draw on data in Taxis tab to approx policies in Fix NYC report, Fig 9, cells C1, F6 & F4, resp'ly.",null,null,"Inputs below reflect Move NY policy to make off-pk FHV charges 1/2 of peak.",null,null,null,null,{"$f":"CONCATENATE(\"Cells F\",O148,\" & G\",O148, \" draw on 5 non-nighttime periods (out of 7 total) in Row \",Taxis!O289, \" of 'Taxis' tab. Cell H\",O148, \" prorates evening (8-11) volumes by sum of evening + overnight in same row. Cells F\",O149, \", G\",O149, \" and H\",O149, \" do likewise, except they operate on weekend data (in Columns S, T & U) in 'Taxis' tab, Row \",Taxis!O289, \". Note that figs in F\",O149, \", G\",O149, \" and H\",O149, \" appear to be 'round numbers' but aren't.\")","v":"Cells F148 & G148 draw on 5 non-nighttime periods (out of 7 total) in Row 289 of 'Taxis' tab. Cell H148 prorates evening (8-11) volumes by sum of evening + overnight in same row. Cells F149, G149 and H149 do likewise, except they operate on weekend data (in Columns S, T & U) in 'Taxis' tab, Row 289. Note that figs in F149, G149 and H149 appear to be 'round numbers' but aren't."},{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,{"$f":"CONCATENATE(\"%'s prorate the yellow taxi peak surcharges in Rows \",O135, \"-\",O143, \".\")","v":"%'s prorate the yellow taxi peak surcharges in Rows 135-143."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,"A. Weekday %",null,0,{"$f":"SUM(Taxis!H289:'Taxis'!L289)","v":0.87007701716561359},{"$f":"SUM(Taxis!H289:'Taxis'!L289)","v":0.87007701716561359},0.5,0.5,0.5,{"$f":"INDEX($E148:$J148,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.87007701716561359},null,null,null,{"$f":"ROW()","v":148}]
[null,null,"B. Weekend %",null,0,{"$f":"SUM(Taxis!S289:'Taxis'!U289)","v":0.50282970303183427},{"$f":"SUM(Taxis!S289:'Taxis'!U289)","v":0.50282970303183427},0.5,0.5,0.5,{"$f":"INDEX($E149:$J149,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.50282970303183427},null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Allocating a share of surcharge revenues to taxi drivers is good policy both ethically and politically.",{"$f":"ROW()","v":150}]
[null,{"$f":"B145+1","v":29},"% Taxi Surcharge Revenue Reserved for Drivers ",null,0,0,0,0,0,0,{"$f":"INDEX($E151:$J151,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Taxis",null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Next \",B175-B156+1, \" items, covering next \",O179-O155+1, \" rows, apply to app-based services (Ubers, Lyfts, etc.). Inputs for yellow cabs are above.\")","v":"Next 6 items, covering next 25 rows, apply to app-based services (Ubers, Lyfts, etc.). Inputs for yellow cabs are above."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"B151+1","v":30},"Do UberLyfts pay cordon toll?","Values: ''YES' or 'NO'","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E156:$J156,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"},null,null,"Switch determines whether app-based FHV's pay for crossing the cordon.",{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,{"$f":"B156+1","v":31},{"$f":"CONCATENATE(\"Surcharge UberLyfts with $/¢ charges in Rows \",O167,\"-\",O169,\"?\")","v":"Surcharge UberLyfts with $/¢ charges in Rows 167-169?"},"Values: ''YES' or 'NO'","NO","YES","YES","YES","YES","YES",{"$f":"INDEX($E158:$J158,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},null,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,{"$f":"B158+1","v":32},"Zone boundary in which the Uber-Lyft surcharges apply","Values: 60 or 96 or 110",96,60,96,96,96,96,{"$f":"INDEX($E161:$J161,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":96},"UberLyft",null,"60 or 96 or 110 means surcharge applies S of street shown (if 110 then up to 110 St on W side but only to 96 St on E). 'NONE' means applies everywhere.",{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,{"$f":"CONCATENATE(\"Charges in next three data rows apply only if value in Cell K\",O158, \" is YES, and a fare-passenger is in vehicle (save for possible cruising-time & mileage charges handled in Row \",O171, \"). They are maxima and subject to off-peak attenuation.\")","v":"Charges in next three data rows apply only if value in Cell K158 is YES, and a fare-passenger is in vehicle (save for possible cruising-time & mileage charges handled in Row 171). They are maxima and subject to off-peak attenuation."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"B161+1","v":33},"Maximum UberLyft surcharges (wkday peak)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,"Uber per-mile & wait time charges accumulate differently from yellow taxi charges.",{"$f":"CONCATENATE(\"See text box at right to explicate figures in Cells F\",O167, \", G\",O167, \" and H\",O167,\".\")","v":"See text box at right to explicate figures in Cells F167, G167 and H167."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,"A. Drop ($ Increase)",null,0,2,5,0,0,0,{"$f":"MAX(0.00001,INDEX($E167:$J167,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":5},null,null,null,{"$f":"ROW()","v":167}]
[null,null,"B. Per-Mile Rate ($ Incrs)",null,0,0,0,0,0,0,{"$f":"MAX(0.00001,INDEX($E168:$J168,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":168}]
[null,null,"C. Per-Minute Rate ($ Incrs)",null,0,0,0,0.4,0.4,0.4,{"$f":"MAX(0.00001,INDEX($E169:$J169,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,{"$f":"B165+1","v":34},"Also charge UberLyfts \"trawling\" time &/or \"cruising\" miles?",{"$f":"CONCATENATE(\"%'s are on top of charges dictated by Rows \",O167, \"-\",O169, \" & \",O177, \"-\",O177, \".\")","v":"%'s are on top of charges dictated by Rows 167-169 & 177-177."},0,0,0,0.6,0.5,0.5,{"$f":"INDEX($E171:$J171,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,{"$f":"CONCATENATE(\"Trawling fare impact is calc'd by multiplying it by per-mile & -minute rates in Rows \",O168, \" and \",O169, \". Applies only within UberLyft surcharge zone selected in Row \",O156, \".\")","v":"Trawling fare impact is calc'd by multiplying it by per-mile & -minute rates in Rows 168 and 169. Applies only within UberLyft surcharge zone selected in Row 156."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,{"$f":"CONCATENATE(\"Text to right explains 2x3 array from F\",O177,\" to H\",O178, \".\")","v":"Text to right explains 2x3 array from F177 to H178."},"Inputs below draw on data in UberLyft tab to approx policies in Fix NYC report, Fig 9, cells C1, F6 & F4, resp'ly.",null,null,"These inputs reflect Move NY policy to make off-pk FHV charges 1/2 of peak.",null,null,null,null,{"$f":"CONCATENATE(\"Cell F\",O177, \" draws on 5 non-nighttime periods (out of 7 total) in Row \",UberLyft!O418, \" of 'UberLyft' tab. Cell H\",O177, \" does same but also prorates max toll in Cell G\",O167, \" by Fix NYC's lower surcharge ($2.50 8-11 pm). Cell G\",O177, \" prorates evening (8-11) volumes by sum of evening + ovenight in same row. Cells F\",O178, \", G\",O178, \" and H\",O178, \" do likewise but operate on weekend data in Columns S, T & U, also in 'UberLyft' tab, Row \",UberLyft!O418, \".\")","v":"Cell F177 draws on 5 non-nighttime periods (out of 7 total) in Row 418 of 'UberLyft' tab. Cell H177 does same but also prorates max toll in Cell G167 by Fix NYC's lower surcharge ($2.50 8-11 pm). Cell G177 prorates evening (8-11) volumes by sum of evening + ovenight in same row. Cells F178, G178 and H178 do likewise but operate on weekend data in Columns S, T & U, also in 'UberLyft' tab, Row 418."},{"$f":"ROW()","v":174}]
[null,{"$f":"B171+1","v":35},"UberLyft off-peak surchrg, % of peak ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,{"$f":"CONCATENATE(\"%'s relate to all FHV peak surcharges in Rows \",O167, \"-\",O658, \".\")","v":"%'s relate to all FHV peak surcharges in Rows 167-."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,"A. Weekday %",null,0,{"$f":"UberLyft!L418/(UberLyft!L418+UberLyft!F418+UberLyft!G418)","v":0.5743820071745066},{"$f":"SUM(UberLyft!H418:L418)","v":0.84605619508959906},0.5,0.5,0.5,{"$f":"INDEX($E177:$J177,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.84605619508959906},null,null,null,{"$f":"ROW()","v":177}]
[null,null,"B. Weekend %",null,0,{"$f":"SUM(UberLyft!R418:'UberLyft'!U418)","v":0.59898866352987168},{"$f":"SUM(UberLyft!S418:U418)","v":0.52343015994432629},0.5,0.5,0.5,{"$f":"INDEX($E178:$J178,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0.52343015994432629},null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,{"$f":"B175+1","v":36},"Surcharges for \"pool\" FHV's",null,null,null,null,null,null,null,null,null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":180}]
[null,null,"A. Drop ($ Increase)",null,0,{"$f":"F167","v":2},{"$f":"G167","v":5},{"$f":"H167","v":0},{"$f":"I167","v":0},{"$f":"J167","v":0},{"$f":"MAX(0.00001,INDEX($E181:$J181,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":5},null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":181}]
[null,null,"B. Per-Mile Rate ($ Incrs)",null,0,0,0,0,0,0,{"$f":"MAX(0.00001,INDEX($E182:$J182,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":182}]
[null,null,"C. Per-Minute Rate ($ Incrs)",null,0,0,0,0,0.1,0.1,{"$f":"MAX(0.00001,INDEX($E183:$J183,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},null,null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,{"$f":"B180+1","v":37},"Street Space Repurposed from autos",null,0,0,0,0,0,0,{"$f":"INDEX($E185:$J185,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Motor Vs",{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O479,)","v":"Row 479"},"Anticipated drop in traffic w/ cordon toll could allow NYC to \"repurpose\" some of the CBD's est'd 900 lane-miles of streets. Note that 1 lane-mile = 1.4 acres. (See Cordon worksheet.) ",{"$f":"ROW()","v":185}]
[null,null,null,null,"(lane-miles)","(lane-miles)","(lane-miles)","(lane-miles)","(lane-miles)","(lane-miles)","(lane-miles)",null,null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,{"$f":"B185+1","v":38},"Share of Transit Windfall $ booked as Net Revenue",null,1,1,1,1,1,1,{"$f":"INDEX($E188:$J188,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},null,null,"A number less than 100% would reflect perceived need to reflect additional operating costs from increased ridership whose farebox revenues would otherwise be credited to revenue pot.",{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,{"$f":"B188+1","v":39},"Are any congestion revenues invested in transit upgrades?",null,"NO","YES","YES","YES","YES","YES",{"$f":"INDEX($E191:$J191,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,{"$f":"IF(K195>0.1,CONCATENATE(\"To run model w/o taking credit for transit improvements resulting from investing annual amounts shown in Cell K\",O195,\", set YES/NO switch in Row \",O191,\" (in scenario the model is running) to NO.\"),CONCATENATE(\"To take credit for transit improvements resulting from investing annual amounts shown in Cell K\",O195,\", set YES/NO switch in Row \",O191,\" (in scenario the model is running) to YES.\"))","v":"To run model w/o taking credit for transit improvements resulting from investing annual amounts shown in Cell K195, set YES/NO switch in Row 191 (in scenario the model is running) to NO."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,{"$f":"B191+1","v":40},"Annual Investment in Transit Upgrades & Expansions",null,0,550,1300,1200,975,975,{"$f":"MAX(0.00001,INDEX($E195:$J195,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1300},"Transit",{"$f":"CONCATENATE(\"Row \",Transit!O231,)","v":"Row 231"},"Toll revenues invested in transit capital spending to keep transit in state of good repair + expedite/enable new service. ",{"$f":"ROW()","v":195}]
[null,null,null,null,"million/year","million/year","million/year","million/year","million/year","million/year","million/year",null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,{"$f":"B195+1","v":41},"Amount of that investment going to CBTC",null,0,500,1000,1000,800,800,{"$f":"MAX(0.00001,INDEX($E198:$J198,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1000},null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,"million/year","million/year","million/year","million/year","million/year","million/year","million/year",null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,{"$f":"B198+1","v":42},{"$f":"CONCATENATE(\"Annual Transit Spending (aside from Discounts shown in Items \",B243, \", \",B246, \", \",B249, \" or \",B252, \")\")","v":"Annual Transit Spending (aside from Discounts shown in Items 54, 55, 56 or 57)"},null,0,0,60,100,100,100,{"$f":"MAX(0.00001,INDEX($E201:$J201,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":60},null,null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":201}]
[null,null,null,null,"million/year","million/year","million/year","million/year","million/year","million/year","million/year",null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,{"$f":"B201+1","v":43},"Annual Toll Revenue Spent on Roads & Bridges",null,0,0,0,0,350,350,{"$f":"MAX(0.00001,INDEX($E205:$J205,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1.0000000000000001E-5},"(N.A.)",null,"Some toll revenues might be invested in maintaining and/or improving area roads and bridges, as direct benefit to drivers.",{"$f":"ROW()","v":205}]
[null,null,null,null,"million/year","million/year","million/year","million/year","million/year","million/year","million/year",null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,{"$f":"B205+1","v":44},"(Other) Subway Service Changes",null,0,0,0,0,0,0,{"$f":"INDEX($E208:$J208,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Subways",{"$f":"CONCATENATE(\"Row \",Subways!O188)","v":"Row 188"},{"$f":"CONCATENATE(\"Denotes expected % incrs in avg duration of subway trips, apart from Items \",B195,\" & \",B201, \" (implied in latter). Negative denotes improvevments.\")","v":"Denotes expected % incrs in avg duration of subway trips, apart from Items 40 & 42 (implied in latter). Negative denotes improvevments."},{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,{"$f":"B208+1","v":45},"% Change in Price of Unlimited Fare MetroCard",null,{"$f":"E224-1","v":0},0,0,0,0,0,{"$f":"INDEX($E211:$J211,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Subways",{"$f":"CONCATENATE(\"Row \",Subways!O162)","v":"Row 162"},{"$f":"CONCATENATE(\"To reset 30-day unlimited fare to 2013-2014 level (prior to fare hike implemented 22-March-2015), input this amount: \",ROUND((Transit!L49-1)*100,1), \"%.\")","v":"To reset 30-day unlimited fare to 2013-2014 level (prior to fare hike implemented 22-March-2015), input this amount: -3.7%."},{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,"Buses",{"$f":"CONCATENATE(\"Row \",Buses!O93)","v":"Row 93"},null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,{"$f":"B211+1","v":46},"% Bonus w/ Purchase of MetroCard of $5 or More",null,{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"Transit!$H$33","v":4.7619047619047672E-2},{"$f":"INDEX($E214:$J214,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":4.7619047619047672E-2},"Subways",{"$f":"CONCATENATE(,Subways!O137, \" & \",Subways!O145,)","v":"137 & 145"},null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,null,null,null,"Buses",{"$f":"CONCATENATE(,Buses!O78,\" & \",Buses!O83,)","v":"78 & 83"},null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"B214+1","v":47},"Weekday Subway Fare","Weekday Fare Intervals","Fare intervals are pre-set. However, you may change fare levels.",null,null,null,null,null,null,"Subways",{"$f":"CONCATENATE(\"'Proposed Fares' Box in Rows \",Subways!O56,\" to \",Subways!O63,\", or Override Factor in Row \",Subways!O57, \", Col. Z\")","v":"'Proposed Fares' Box in Rows 56 to 63, or Override Factor in Row 57, Col. Z"},"Fares shown are for one ride using a pay-per-ride card allowing two or more rides.",{"$f":"ROW()","v":217}]
[null,null,null,"11 pm - 5 am (6 hrs)",2.75,{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E218:$J218,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,"5-6 am + 8-11 pm (4 hrs)",2.75,2.75,2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E219:$J219,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,"All other hours (8 hrs)",2.75,2.75,2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E220:$J220,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,"See Subways worksheet for hours making up each fare bin.",{"$f":"ROW()","v":220}]
[null,null,null,"7-8 am + 4-5 pm (2 hrs)",2.75,2.75,2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E221:$J221,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,"9-10 am + 6-7 pm (2 hrs)",2.75,2.75,2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E222:$J222,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,"To test uniform fare hike, e.g., from $2.50 base fare to $2.75, set \"Override Factor\" to ratio of new fare to base fare, e.g., 1.1 (ratio of $2.75 to $2.50). Zero cancels override factor.",{"$f":"ROW()","v":222}]
[null,null,null,"8-9 am + 5-6 pm (2 hrs)",2.75,2.75,2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E223:$J223,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,"Override Factor",1,1,1,1,1,1,{"$f":"INDEX($E224:$J224,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":1},null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,"Keep Fare?",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,"YES","YES","YES","YES","YES","YES","YES",{"$f":"INDEX($E226:$J226,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"YES"},null,null,"To keep current fare, set Override to 1 and type YES in this row.",{"$f":"ROW()","v":226}]
[null,null,null,"NO",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,{"$f":"B217+1","v":48},"Saturday Subway Fare ",{"$f":"CONCATENATE(\"Note that Override Factor referenced in Cell D\",O224, \" applies only to weekday subway fares. Intended changes to weekend subway fares as well as to bus fares must be inputted into corresponding cells, in Rows \",O228, \", \",O231, \", \",O234, \", \",O236, \" and \",O238, \".\")","v":"Note that Override Factor referenced in Cell D224 applies only to weekday subway fares. Intended changes to weekend subway fares as well as to bus fares must be inputted into corresponding cells, in Rows 228, 231, 234, 236 and 238."},{"$f":"Subway_Base_Fare*$E$224","v":2.75},{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E228:$J228,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},"Subways",null,"To be filled in",{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,{"$f":"B228+1","v":49},"Sundays + Holidays Subway Fare ",null,{"$f":"Subway_Base_Fare*$E$224","v":2.75},{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E231:$J231,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75},"Subways",null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,{"$f":"B231+1","v":50},"NYCT Bus Fare, weekdays",null,{"$f":"Subway_Base_Fare*$E$224","v":2.75},{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E234:$J234,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75}," Buses",null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,{"$f":"B234+1","v":51},"NYCT Bus Fare, Saturdays",null,{"$f":"Subway_Base_Fare*$E$224","v":2.75},{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E236:$J236,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75}," Buses",null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,{"$f":"B236+1","v":52},"NYCT Bus Fare, Sundays",null,{"$f":"Subway_Base_Fare*$E$224","v":2.75},{"$f":"Subway_Base_Fare","v":2.75},2.75,2.75,2.75,2.75,{"$f":"MAX(0.00001,INDEX($E238:$J238,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":2.75}," Buses",null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,{"$f":"B238+1","v":53},"Pay bus fare on board ","% NYCT buses w/ on-board payment",0,0,0,0,0,0,{"$f":"INDEX($E240:$J240,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0}," Bus Boarding",null,"Selected plan (the one the model is running now):",{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Select_Plan_Box","v":"Fix NYC higher-range plan"},{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,{"$f":"B240+1","v":54},"Fare Reduxn for All Metro-North & LIRR Service","% reduxn",0,0,0,0,0,0,{"$f":"INDEX($E243:$J243,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},"Revenues",null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"B243+1","v":55},"\"City Ticket\" for Intra-City Metro-N & LIRR, off-peak","Can be subway fare, or $$ amount shown","NONE","NONE","NONE","NONE",4.25,4.25,{"$f":"INDEX($E246:$J246,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NONE"},"Revenues","Section F","One-way. Applies to all Metro-N & LIRR off-peak trips that start + end w/i NYC. \"Subway\" means subway fare.",{"$f":"ROW()","v":246}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,{"$f":"B246+1","v":56},"\"City Ticket\" for Intra-City Metro-N & LIRR, peak","Can be subway fare, or $$ amount shown","NONE","NONE","NONE","NONE",6.25,6.25,{"$f":"INDEX($E249:$J249,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NONE"},"Revenues","Section F","One-way. Applies to all Metro-N & LIRR on-peak trips that start + end w/i NYC. \"Subway\" means subway fare.",{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,{"$f":"B249+1","v":57},"Fare Reduxn for Intra-NYC Express Bus Trips","$ reduxn per trip",0,0,1,1,1,1,{"$f":"MAX(0.00001,INDEX($E252:$J252,1,MATCH(Results!$K$27,$E$21:$J$21,0)))","v":1},"Revenues","Section G","Applies to all operations of MTA Bus Co. (MTA division that in 2005 took over the 7 private bus cos. serving NYC).",{"$f":"ROW()","v":252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,{"$f":"B252+1","v":58},"$1 Bus Discount in Under-served Parts of Boroughs","Values:","NO","NO","NO","NO","NO","NO",{"$f":"INDEX($E255:$J255,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"NO"}," Buses",null,{"$f":"CONCATENATE(\"Applies to areas of Bklyn, Queens, Bronx, S.I. one-third mile or more from subways.\")","v":"Applies to areas of Bklyn, Queens, Bronx, S.I. one-third mile or more from subways."},{"$f":"ROW()","v":255}]
[null,null,null,"'YES' or 'NO'",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,{"$f":"B255+1","v":59},"Baseline Traffic Change","entered as one of:","C","A","A","A","A","A",{"$f":"INDEX($E258:$J258,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":"A"},"Motor Vs, Motor Vs Weekends, & Fresh Direct tabs",null,"Changes # of pre-toll (baseline) motor vehicle trips. Lets toll scenarios operate on more realistic baseline if changed conditions have swelled or shrunk traffic. Also allows modeling of impacts on traffic speeds from possible influx of autos if one or more train tunnels are shut for post-Sandy rehabilitation.",{"$f":"ROW()","v":258}]
[null,null,null,"A. % change; or:",0,0,0,0,0,0,{"$f":"INDEX($E259:$J259,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":259}]
[null,null,{"$f":"CONCATENATE(\"Figure for Option C is from 'Transit' tab, Row \",Transit!O470, \".\")","v":"Figure for Option C is from 'Transit' tab, Row 470."},"B. volume chng; or:",0,0,0,0,0,0,{"$f":"INDEX($E260:$J260,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,"C. autos vol. chng",0,0,0,0,0,0,{"$f":"INDEX($E261:$J261,1,MATCH(Results!$K$27,$E$21:$J$21,0))","v":0},null,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,{"$f":"CONCATENATE(\"To set the BTA to model travel impacts from hypothesized shutdown of either of the two cross-Hudson (NJ-NY) rail tunnels, do these three things:\")","v":"To set the BTA to model travel impacts from hypothesized shutdown of either of the two cross-Hudson (NJ-NY) rail tunnels, do these three things:"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,1,{"$f":"CONCATENATE(\"Replace upper case 'A' in highlighted Cell E\",O258,\" with an upper case 'C' (no quote marks). Use Excel's Edit function (via F2 key) to bypass a macro.\")","v":"Replace upper case 'A' in highlighted Cell E258 with an upper case 'C' (no quote marks). Use Excel's Edit function (via F2 key) to bypass a macro."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,2,{"$f":"CONCATENATE(\"Go to 'Results' tab, and use pull-down menu to change chosen scenario in Cell K\",Results!N27, \" to 'Baseline' (skip this step if cell is already set to Baseline).\")","v":"Go to 'Results' tab, and use pull-down menu to change chosen scenario in Cell K27 to 'Baseline' (skip this step if cell is already set to Baseline)."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,3,{"$f":"CONCATENATE(\"Replace formula now shown in Cell E\",O261, \" with this formula (omitting brackets, however): <=Transit!L\",Transit!O470, \">.\")","v":"Replace formula now shown in Cell E261 with this formula (omitting brackets, however): <=Transit!L470>."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,4,"\"Refresh\" calculation by hitting your F9 (recalc) key a half-a-dozen or so times.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Key impacts of likely additional vehicle traffic that would result from shuttering one of the NJ-NY rail tunnels will be displayed in the 'Results' tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"To set the BTA to model CBD travel impacts from shutting the horse-carriage stables on Manhattan's West Side, follow these steps:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,1,{"$f":"CONCATENATE(\"Replace upper case 'A' in highlighted Cell E\",O258,\" with an upper case 'C' (no quote marks). Use Excel's Edit function (via F2 key) to bypass a macro.\")","v":"Replace upper case 'A' in highlighted Cell E258 with an upper case 'C' (no quote marks). Use Excel's Edit function (via F2 key) to bypass a macro."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,2,{"$f":"CONCATENATE(\"Go to 'Results' tab, and use pull-down menu to change chosen scenario in Cell K\",Results!N27, \" to 'Baseline' (skip this step if cell is already set to Baseline).\")","v":"Go to 'Results' tab, and use pull-down menu to change chosen scenario in Cell K27 to 'Baseline' (skip this step if cell is already set to Baseline)."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,3,{"$f":"CONCATENATE(\"Enter following formula in brackets (omitting brackets, however) into Cell E\",O261,\": <=-Horses!J23*Horses!J102/(2*'Motor Vs'!I104)>. First element is my estimate of daily 'CMT' (carriage miles traveled). Second is a factor reflecting each carriage's \"&\"traffic impact relative to a car or cab. Both factors are derived in this spreadsheet's 'Horses' tab. Third is average daily miles traveled by a typical car in CBD. Formula yields estimated number of CBD cars whose \" & \"elimination would equate to averaged CBD traffic benefit of eilminating on-street CMT -- a necessary input for BTA model to simulate this scenario.\")","v":"Enter following formula in brackets (omitting brackets, however) into Cell E261: <=-Horses!J23*Horses!J102/(2*'Motor Vs'!I104)>. First element is my estimate of daily 'CMT' (carriage miles traveled). Second is a factor reflecting each carriage's traffic impact relative to a car or cab. Both factors are derived in this spreadsheet's 'Horses' tab. Third is average daily miles traveled by a typical car in CBD. Formula yields estimated number of CBD cars whose elimination would equate to averaged CBD traffic benefit of eilminating on-street CMT -- a necessary input for BTA model to simulate this scenario."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,4,{"$f":"CONCATENATE(\"To approximate traffic impact in Midtown alone, multiply formula you have entered in Cell E\",O261, \" by three.\")","v":"To approximate traffic impact in Midtown alone, multiply formula you have entered in Cell E261 by three."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,5,{"$f":"CONCATENATE(\"Go back to 'Results' tab and inspect Cell B\",Results!N14, \" (possibly increasing decimal places shown). Be sure to 'refresh' calculation by hitting F9 (recalc) key half-a-dozen times.\")","v":"Go back to 'Results' tab and inspect Cell B14 (possibly increasing decimal places shown). Be sure to 'refresh' calculation by hitting F9 (recalc) key half-a-dozen times."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]

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[null,"Cost-Benefit",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2}]
[null,"This worksheet compiles societal costs and benefits of pricing scenario selected by user in Results worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,"per day:",{"$f":"H7/(Constants!J7*1000000)","v":10.520547945205479},"mllion"]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figure in Cell H\",O7, \" is copied from cell K\",O88,\", where it is turn calculated as the sum of these cells: K\",O55,\" (deadweight administrative costs), K\",O76,\" (net enviro/societal benefits), K\",O84,\" (user fees, aggregated), and K\",O86,\" (surplus/deficit).\")","v":"Figure in Cell H7 is copied from cell K88, where it is turn calculated as the sum of these cells: K55 (deadweight administrative costs), K76 (net enviro/societal benefits), K84 (user fees, aggregated), and K86 (surplus/deficit)."},null,null,null,{"$f":"ROW()","v":4},null,"per hr:",{"$f":"R3*1000000/24","v":438356.16438356158}]
[null,"For complete results of selected plan, and to test other plans, click:",null,null,null,null,null,null,"Results",null,null,null,null,null,{"$f":"ROW()","v":5},null,"per minute:",{"$f":"R4/60","v":7305.9360730593598}]
[null,"Selected Plan:",null,null,null,null,null,null,{"$f":"Results!K27","v":"Fix NYC higher-range plan"},null,null,null,null,null,{"$f":"ROW()","v":6},null,"per second:",{"$f":"R5/60","v":121.765601217656}]
[null,"Annual Net Benefit of Selected Plan:",null,null,null,null,null,{"$f":"ROUND(K88,-1)*1000000","v":3840000000},null,null,null,null,null,null,{"$f":"ROW()","v":7},null,{"$f":"CONCATENATE(\"Figures above draw on value in Cell H\", O7, \".\")","v":"Figures above draw on value in Cell H7."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10},null,null,"Entries in graph are derived in remain-der of work-sheet. Page-Down to find pertinent sections."]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,"Travelers' Amenity in chart represents net lost (or gained) \"utility\" of trips that drivers forego due to congestion toll (or that transit users gain in trips \"attracted\" by lower fares). If bar falls below x-axis, drivers' lost amenity has outweighed transit users' gain. ",null,null,null,null,null,"If \"Transit Fares\" appears in User Fees stack in chart, it denotes the increase in expenditures on transit travel attributable to the larger ridership attracted by service improvements financed by the congestion toll revenues. ",null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"This graph is from the Cost-Benefit page (worksheet tab) of the Balanced Transportation Analyzer (BTA) spreadsheet, as of \",TEXT(N1,\"m/d/yyyy\"),\". \nTo access the BTA, click on this link: <http://www.nnyn.org/kheelplan/BTA_1.1.xls>.\")","v":"This graph is from the Cost-Benefit page (worksheet tab) of the Balanced Transportation Analyzer (BTA) spreadsheet, as of 9/15/2019. \nTo access the BTA, click on this link: <http://www.nnyn.org/kheelplan/BTA_1.1.xls>."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Results",null,"Clicking on hyperlinks shown will take you to section of this or other tabs where each item has been costed.",null,null,null,null,"Annual $, NYC only, millions",null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,"Values in parentheses denote loss",null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Toll & Fare Administration",null,null,null,null,null,null,"Revenues","Expenditures","Net",null,null,null,{"$f":"ROW()","v":52}]
[null,"A. Cordon Administration",null,null,null,null,null,null,null,{"$f":"Results!K39","v":-115},{"$f":"I53+J53","v":-115},null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":53}]
[null,"B. Agency operating savings if eliminate subway and/or bus farebox",null,null,null,null,null,null,{"$f":"Results!K53","v":0},null,{"$f":"I54+J54","v":0},null,null,null,{"$f":"ROW()","v":54}]
[null,"S U B T O T A L, Toll & Fare Administration",null,null,null,null,null,null,{"$f":"SUM(I53:I54)","v":0},{"$f":"SUM(J53:J54)","v":-115},{"$f":"I55+J55","v":-115},null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Economic, Social and Environmental Costs and Benefits",null,null,null,null,null,null,"Gains","Losses","Net Gain",null,null,null,{"$f":"ROW()","v":57}]
[null,"A. Transit Riders' saved time due to faster traffic and/or service improvements",null,null,null,null,null,null,{"$f":"I59+I60","v":1649.736473144555},{"$f":"J59+J60","v":0},{"$f":"I58+J58","v":1649.736473144555},null,null,null,{"$f":"ROW()","v":58}]
[null," 1. Bus Riders",null,null,null,null,null,null,{"$f":"K151","v":97.842880847413738},0,{"$f":"I59+J59","v":97.842880847413738},null,null,null,{"$f":"ROW()","v":59}]
[null," 2. Subway Riders",null,null,null,null,null,null,{"$f":"K177","v":1551.8935922971414},0,{"$f":"I60+J60","v":1551.8935922971414},null,null,null,{"$f":"ROW()","v":60}]
[null," 3. Bus riders' addit'l saved time, from fare-free boarding",null,null,null,null,null,null,{"$f":"I204","v":0},0,{"$f":"I61+J61","v":0},null,null,null,{"$f":"ROW()","v":61}]
[null,"B. Motor vehicle users' saved time that was previously lost in traffic",null,null,null,null,null,"Components",null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null," 1. Trips into, in or through CBD",null,null,null,null,{"$f":"H63/$I$63","v":0.65727904466292664},{"$f":"K242","v":1559.5038467769632},{"$f":"SUM(H63:H65)","v":2372.666311880861},0,{"$f":"I63+J63","v":2372.666311880861},null,null,null,{"$f":"ROW()","v":63}]
[null," 2. Trips that make no use of the CBD",null,null,null,null,{"$f":"H64/$I$63","v":0.33819887881117289},{"$f":"K256","v":802.43308647114884},null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null," 3. (Medallion) taxi riders' time saved via quicker hails",null,null,null,null,{"$f":"H65/$I$63","v":4.5220765258999051E-3},{"$f":"K283","v":10.729378632750063},null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null," 4. *Lost* driver time from greater volumes on trips using (discounted) MTA bridges",null,null,null,null,null,null,null,{"$f":"K268","v":-25.174180736051259},{"$f":"I66+J66","v":-25.174180736051259},null,null,null,{"$f":"ROW()","v":66}]
[null,"C. Mobility Changes (more transit trips, fewer m.v. trips)",null,null,null,null,null,null,{"$f":"K354+K359+K364","v":0},{"$f":"-SUM(K323:K339)","v":-83.120125517371363},-83.120125517371363,null,null,null,{"$f":"ROW()","v":67}]
[null,"D. Reduction in crash damage costs",null,null,null,null,null,null,{"$f":"-K438","v":331.73009899159132},null,331.73009899159132,null,null,null,{"$f":"ROW()","v":68}]
[null,"E. Reduction in climate damage from lesser CO2 emissions",null,null,null,null,null,null,{"$f":"K456","v":40.235610985247561},null,40.235610985247561,null,null,null,{"$f":"ROW()","v":69}]
[null,"F. Reduction in ecological and national-security costs from lesser petroleum use",null,null,null,null,null,null,{"$f":"L532","v":26.158681704820562},null,26.158681704820562,null,null,null,{"$f":"ROW()","v":70}]
[null,"G. Reduction in air pollution health/enviro damages",null,null,null,null,null,null,{"$f":"-K567/1000","v":198.5},null,198.5,null,null,null,{"$f":"ROW()","v":71}]
[null,"H. Reduction in noise costs",null,null,null,null,null,null,{"$f":"-I604","v":90},null,90,null,null,null,{"$f":"ROW()","v":72}]
[null,"I. Longevity benefits of increased cycling",null,null,null,null,null,null,{"$f":"I647","v":263},null,263,null,null,null,{"$f":"ROW()","v":73}]
[null,"J. Longevity benefits of increased walking",null,null,null,null,null,null,{"$f":"I658","v":263},null,{"$f":"I74+J74","v":263},null,null,null,{"$f":"ROW()","v":74}]
[null,"K. Taxi surcharge revenues applied to drivers' health plan",null,null,null,null,null,null,{"$f":"Results!L48","v":0},null,{"$f":"I75+J75","v":0},null,null,null,{"$f":"ROW()","v":75}]
[null,"S U B T O T A L, Economic, Social and Environmental Costs and Benefits",null,null,null,null,null,null,{"$f":"I58+I63+SUM(I66:I75)","v":5235.0271767070753},{"$f":"J58+J63+SUM(J66:J75)","v":-108.29430625342262},{"$f":"I76+J76","v":5126.732870453653},null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"User Fees (Tolls and Fares)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"A. Driver Tolls & Fees",null,null,null,null,null,null,{"$f":"-Results!K42","v":0},{"$f":"-Results!K38+Results!K43-Results!K66","v":-940},{"$f":"I79+J79","v":-940},null,null,null,{"$f":"ROW()","v":79}]
[null,"B. Taxi Fares",null,null,null,null,null,null,null,{"$f":"-Results!K46-Results!K47","v":-385},-385,null,null,null,{"$f":"ROW()","v":80}]
[null,"C. UberLyft Fares",null,null,null,null,null,null,null,{"$f":"-Results!K49","v":-390},-390,null,null,null,{"$f":"ROW()","v":81}]
[null,"D. Transit Fares (farebox costs paid for more trips, less applicable discounts if any)",null,null,null,null,null,null,{"$f":"Results!L62+Results!L63","v":20},{"$f":"-Results!K51-Results!K52","v":-310},-290,null,null,null,{"$f":"ROW()","v":82}]
[null,"E. Manhattan Residents Parking Tax Payments",null,null,null,null,null,null,null,{"$f":"-Results!K66","v":0},0,null,null,null,{"$f":"ROW()","v":83}]
[null,"S U B T O T A L, User Fees",null,null,null,null,null,null,{"$f":"SUM(I79:I83)","v":20},{"$f":"SUM(J79:J83)","v":-2025},-2005,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Surplus / Deficit",null,null,null,null,null,null,null,null,{"$f":"Results!L79+Results!L68","v":829.99999000000003},null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"T O T A L",null,null,null,null,null,null,{"$f":"I55+I76+I84+I86","v":5255.0271767070753},{"$f":"J55+J76+J84+J86","v":-2248.2943062534227},{"$f":"I88+J88+K86","v":3836.7328604536524},null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,"Attached array feeds into bar chart above. Quantities are pulled from cells above.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,"Toll & Fare\nAdmin.","Travelers'\nAmenity","Wellness\n(Active Travel)","Environ-\nment","Saved Time\n(Transit)","Saved Time\n(Drivers)","User Fees","Unspent\nRevenue",null,{"$f":"ROW()","v":91}]
[null,null,null,"Fewer Crashes",null,null,null,null,{"$f":"K68","v":331.73009899159132},null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,"Less CO2 (Climate)",null,null,null,null,{"$f":"K69","v":40.235610985247561},null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,"Less Petroleum",null,null,null,null,{"$f":"K70","v":26.158681704820562},null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,"Healthier Air Quality",null,null,null,null,{"$f":"K71","v":198.5},null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,"Less Noise",null,null,null,null,{"$f":"K72","v":90},null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,"CBD Vehicle Trip Speeds",null,null,null,null,null,null,{"$f":"H63","v":1559.5038467769632},null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,"Non-CBD Vehicle Trip Speeds",null,null,null,null,null,null,{"$f":"H64","v":802.43308647114884},null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,"Taxi Hail Time",null,null,null,null,null,null,{"$f":"H65","v":10.729378632750063},null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,"MTA Bridge Vehicle Speeds",null,null,null,null,null,null,{"$f":"J66","v":-25.174180736051259},null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,"Bus Boarding Times",null,null,null,null,null,{"$f":"K61","v":0},null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,"Bus Travel Times",null,null,null,null,null,{"$f":"K59","v":97.842880847413738},null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,"Subway Travel Times",null,null,null,null,null,{"$f":"K60","v":1551.8935922971414},null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,"Health from More Biking",null,null,null,{"$f":"I73","v":263},null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,"Health from More Walking",null,null,null,{"$f":"I74","v":263},null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,"Cabbies' Health Plan",null,null,null,{"$f":"I75","v":0},null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,"Commuter Rail Discounts",null,null,null,null,null,null,null,{"$f":"Results!L62","v":0},null,null,{"$f":"ROW()","v":107}]
[null,null,null,"Express Bus Discounts",null,null,null,null,null,null,null,{"$f":"Results!L63","v":20},null,null,{"$f":"ROW()","v":108}]
[null,null,null,"Auto & Truck Tolls",null,null,null,null,null,null,null,{"$f":"K79","v":-940},null,null,{"$f":"ROW()","v":109}]
[null,null,null,"Taxi Surcharges",null,null,null,null,null,null,null,{"$f":"K80","v":-385},null,null,{"$f":"ROW()","v":110}]
[null,null,null,"UberLyft Surcharges",null,null,null,null,null,null,null,{"$f":"K81","v":-390},null,null,{"$f":"ROW()","v":111}]
[null,null,null,"Transit Fares (more rides)",null,null,null,null,null,null,null,{"$f":"J82","v":-310},null,null,{"$f":"ROW()","v":112}]
[null,null,null,"Manhattanites Parking Tax",null,null,null,null,null,null,null,{"$f":"K83","v":0},null,null,{"$f":"ROW()","v":113}]
[null,null,null,"Revenue Held in Reserve",null,null,null,null,null,null,null,null,{"$f":"K86","v":829.99999000000003},null,{"$f":"ROW()","v":114}]
[null,null,null,"Toll & Fare Admin.",null,{"$f":"K55","v":-115},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,"Travelers' Amenity",null,null,{"$f":"K67","v":-83.120125517371363},null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,"Column Sums (check):",{"$f":"SUM(F92:F116)","v":-115},-83.120125517371363,526,686.6243916816594,1649.736473144555,2347.4921311448106,-2005,829.99999000000003,{"$f":"SUM(F117:M117)","v":3836.7328604536542},{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Derivations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Agency Costs and Benefits are derived primarily in Revenue worksheet. The remainder of this worksheet derives ten classes of economic, social and environmental costs and benefits.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Input assumptions underlying results in graph are shown in Policy Levers worksheet. Explanatory notes are omitted in most cases where values are derived from other worksheets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"A. Transit-Riders' Saved Time",null,null,null,null,null,null,"Parameters that apply for all 'saved time' calculations",null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,"Ratio, weekend value of time to weekdays:",null,null,null,0.6,null,{"$f":"ROW()","v":126}]
[null,"Includes:",null,null,null,null,null,null,"Ratio, non-CBD value of time to in-CBD value:",null,null,null,{"$f":"2/3","v":0.66666666666666663},null,{"$f":"ROW()","v":127}]
[null,"• Bus riders' savings from general traffic speed-up",null,null,null,null,null,null,"Komanoff assumptions",null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"• Bus and subway riders' time gained from improved service",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"• Bus riders' time gained from fare-free boarding (if applicable)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":131}]
[null,"1. Bus riders' savings from general traffic speed-up and improved service",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Number of bus passenger rides per year, with pricing (thousands)",null,null,null,null,null,null,{"$f":"Buses!I145*1000","v":489359.22856021801},{"$f":"Buses!J145*1000","v":121085.47400916564},{"$f":"I133+J133","v":610444.70256938366},null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"Both figures are from Buses worksheet, Row \",Buses!O145, \".\")","v":"Both figures are from Buses worksheet, Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Time saved per ride due to increased transit spending + faster traffic (minutes)",null,null,null,null,null,null,{"$f":"'Sub v. Bus'!G42-'Sub v. Bus'!K42","v":0.84725906038200094},{"$f":"I135","v":0.84725906038200094},null,null,null,null,{"$f":"ROW()","v":135}]
[null,{"$f":"CONCATENATE(\"Difference btwn 'before' & 'after' figures for duration of average bus ride, calculated and shown in 'Sub v. Bus' worksheet, Row \",'Sub v. Bus'!I42, \". Includes wait time.\")","v":"Difference btwn 'before' & 'after' figures for duration of average bus ride, calculated and shown in 'Sub v. Bus' worksheet, Row 42. Includes wait time."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Hours saved per year due to increased transit spending + faster traffic",null,null,null,null,null,null,{"$f":"I133*I135*1000/60","v":6910234.0029865196},{"$f":"J133*J135*1000/60","v":1709846.0822485813},{"$f":"I137+J137","v":8620080.0852351002},null,null,null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O133, \" and \",O135, \", times 1,000 and divided by 60.\")","v":"Product of Rows 133 and 135, times 1,000 and divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Average value of a bus rider's hour saved in the CBD, weekdays and weekends",null,null,null,null,null,null,{"$f":"'Value of Time'!$I$150","v":16.23761819329858},{"$f":"'Value of Time'!$N$150","v":12.40835014326419},null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Average value of a bus rider's hour saved outside CBD, weekdays and weekends",null,null,null,null,null,null,{"$f":"'Value of Time'!$I$152","v":10.825078795532386},{"$f":"'Value of Time'!$N$152","v":8.2722334288427923},null,null,null,null,{"$f":"ROW()","v":140}]
[null,{"$f":"CONCATENATE(\"Copied from 2x2 matrix in 'Value of Time' worksheet, Rows \",'Value of Time'!O150, \" and \",'Value of Time'!O152, \" and Columns I and N.\")","v":"Copied from 2x2 matrix in 'Value of Time' worksheet, Rows 150 and 152 and Columns I and N."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Percent of bus riders' time savings realized inside CBD",null,null,null,null,null,null,0.2,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,{"$f":"CONCATENATE(\"Komanoff est., reflecting (i) Manhattan's roughly \",100*ROUND('Bus Routes'!K23,2), \" percent share of NYC Transit bus ridership, as shown in 'Bus Routes' worksheet, Row \",'Bus Routes'!O23, \"; (ii) fact that CBD has some, not all, Manhattan bus rider-miles; (iii) disproportionately high travel speed gains within CBD.\")","v":"Komanoff est., reflecting (i) Manhattan's roughly 25 percent share of NYC Transit bus ridership, as shown in 'Bus Routes' worksheet, Row 23; (ii) fact that CBD has some, not all, Manhattan bus rider-miles; (iii) disproportionately high travel speed gains within CBD."},null,null,null,null,null,null,null,null,null,null,"$ due to faster traffic, not improved service",null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Annual value of bus riders' saved time, inside CBD, millions",null,null,null,null,null,null,{"$f":"I$137*$I$142*I139/1000000","v":22.441148273368881},{"$f":"J$137*$I$142*J139/1000000","v":4.2432737759257808},null,null,{"$f":"'Bus Boarding'!$J$160/('Bus Boarding'!$J$160-Transit!$I$381)*I145","v":18.81658623172747},{"$f":"'Bus Boarding'!$J$160/('Bus Boarding'!$J$160-Transit!$I$381)*J145","v":3.5579251978066919},{"$f":"ROW()","v":145}]
[null,"Annual value of bus riders' saved time, outside CBD, millions",null,null,null,null,null,null,{"$f":"I$137*(1-$I$142)*I140/1000000","v":59.843062062317003},{"$f":"J$137*(1-$I$142)*J140/1000000","v":11.315396735802079},null,null,{"$f":"'Bus Boarding'!$J$160/('Bus Boarding'!$J$160-Transit!$I$381)*I146","v":50.17756328460657},{"$f":"'Bus Boarding'!$J$160/('Bus Boarding'!$J$160-Transit!$I$381)*J146","v":9.4878005274845094},{"$f":"ROW()","v":146}]
[null,{"$f":"CONCATENATE(\"Each figure in matrix above is product of three elements: (i) Hours saved in Row \",O137, \"; (ii) percent of time savings within CBD, or its complement, from Row \",O142, \"; (iii) average value of saved time in Rows \",O139, \" and \",O140, \".\")","v":"Each figure in matrix above is product of three elements: (i) Hours saved in Row 137; (ii) percent of time savings within CBD, or its complement, from Row 142; (iii) average value of saved time in Rows 139 and 140."},null,null,null,null,null,null,null,null,null,null,"(in millions)",null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,{"$f":"CONCATENATE(\"Matrix at right prorates matrix to left by ratio of the sources of bus riders' time savings: less traffic, as reflected in 'Bus Boarding' worksheet, Row \",'Bus Boarding'!AG160, \" and 'Transit' worksheet, Row \",Transit!O376,\".\")","v":"Matrix at right prorates matrix to left by ratio of the sources of bus riders' time savings: less traffic, as reflected in 'Bus Boarding' worksheet, Row 160 and 'Transit' worksheet, Row 376."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Annual value of bus riders' saved time",null,null,null,{"$f":"CONCATENATE(\"Sums of Rows \",O145, \" and \",O146, \".\")","v":"Sums of Rows 145 and 146."},null,null,{"$f":"I145+I146","v":82.284210335685884},{"$f":"J145+J146","v":15.558670511727859},{"$f":"I151+J151","v":97.842880847413738},"million",null,null,{"$f":"ROW()","v":151}]
[null,"Of which following percent is attributable to on-board bus payment that speeds trips",null,null,null,null,null,null,null,null,{"$f":"'Bus Boarding'!J162","v":0},null,null,null,{"$f":"ROW()","v":152}]
[null,{"$f":"CONCATENATE(\"Copied from 'Bus Boarding' tab, Row \",'Bus Boarding'!AG162, \".\")","v":"Copied from 'Bus Boarding' tab, Row 162."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Annual value of bus riders' saved time attributable to speed-up of traffic",null,null,null,null,null,null,null,null,{"$f":"(1-K152)*K151","v":97.842880847413738},"million",null,null,{"$f":"ROW()","v":154}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O151, \" and complement of Row \",O152, \". Result will enable us to avoid double-counting w/ overall motor vehicle time savings.\")","v":"Product of Row 151 and complement of Row 152. Result will enable us to avoid double-counting w/ overall motor vehicle time savings."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"2. Subway Riders' Saved Time from improved service",null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":157}]
[null,"Number of subway passenger rides per year, with pricing (thousands)",null,null,null,null,null,null,{"$f":"Subways!N508","v":1475881.6519824325},{"$f":"Subways!N510","v":323952.26093985239},{"$f":"I158+J158","v":1799833.9129222848},null,null,null,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Both figures are from Subways worksheet, Rows \",Subways!O508, \" and \",Subways!O510, \".\")","v":"Both figures are from Subways worksheet, Rows 508 and 510."},null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":159}]
[null,"Time saved per ride due to increased transit spending (minutes)",null,null,null,null,null,null,{"$f":"'Sub v. Bus'!F42-'Sub v. Bus'!J42","v":2.9454404587642742},{"$f":"I160","v":2.9454404587642742},null,null,null,null,{"$f":"ROW()","v":160}]
[null,{"$f":"CONCATENATE(\"Difference btwn 'before' & 'after' figures for duration of average subway ride, calculated and shown in 'Sub v. Bus' worksheet, Row \",'Sub v. Bus'!I42, \". Includes wait time.\")","v":"Difference btwn 'before' & 'after' figures for duration of average subway ride, calculated and shown in 'Sub v. Bus' worksheet, Row 42. Includes wait time."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Baseline time per ride (minutes)",null,null,null,null,null,null,{"$f":"'Sub v. Bus'!F42","v":26.800226200258571},{"$f":"I162","v":26.800226200258571},null,"Array at left, though useful, isn't used in Cost-Benefit calculations.",null,null,{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"'Before' figure for duration of average subway ride, calculated and shown in 'Sub v. Bus' worksheet, Row \",'Sub v. Bus'!I42, \". Includes wait time.\")","v":"'Before' figure for duration of average subway ride, calculated and shown in 'Sub v. Bus' worksheet, Row 42. Includes wait time."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"% average improvement in subway speed (includes wait time)",null,null,null,null,null,null,{"$f":"I162/(I162-I160)-1","v":0.12347377547981142},{"$f":"I164","v":0.12347377547981142},{"$f":"(I158*I164+J158*J164)/K158","v":0.12347377547981143},null,null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O160, \" and \",O162, \".\")","v":"Algebra on Rows 160 and 162."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Hours saved per year due to increased transit spending",null,null,null,null,null,null,{"$f":"I158*I160*1000/60","v":72452025.501615182},{"$f":"J158*J160*1000/60","v":15903034.934673378},{"$f":"I166+J166","v":88355060.436288565},null,null,null,{"$f":"ROW()","v":166}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O158, \" and \",O160, \", times 1,000 and divided by 60.\")","v":"Product of Rows 158 and 160, times 1,000 and divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Average value of a subway rider's hour saved in the CBD, weekdays and weekends",null,null,null,null,null,null,{"$f":"'Value of Time'!$G$150","v":23.925492624520629},{"$f":"'Value of Time'!$L$150","v":18.283216559289489},null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Average value of subway rider's hour saved outside CBD, weekdays and weekends",null,null,null,null,null,null,{"$f":"'Value of Time'!$G$152","v":15.950328416347086},{"$f":"'Value of Time'!$L$152","v":12.188811039526325},null,null,null,null,{"$f":"ROW()","v":169}]
[null,{"$f":"CONCATENATE(\"Copied from 2x2 matrix in 'Value of Time' worksheet, Rows \",'Value of Time'!O150, \" and \",'Value of Time'!O152, \" and Columns G and L.\")","v":"Copied from 2x2 matrix in 'Value of Time' worksheet, Rows 150 and 152 and Columns G and L."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Percent of subway riders' time savings realized inside CBD",null,null,null,null,null,null,0.3,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Annual value of subway riders' saved time, inside CBD",null,null,null,null,null,null,{"$f":"I$166*$I$171*I168/1000000","v":520.0351205311423},{"$f":"J$166*$I$171*J168/1000000","v":87.227589498173856},null,null,null,null,{"$f":"ROW()","v":173}]
[null,"Annual value of subway riders' saved time, outside CBD",null,null,null,null,null,null,{"$f":"I$166*(1-$I$171)*I169/1000000","v":808.94352082622152},{"$f":"J$166*(1-$I$171)*J169/1000000","v":135.68736144160377},null,null,null,null,{"$f":"ROW()","v":174}]
[null,{"$f":"CONCATENATE(\"Each figure in matrix is product of three elements: (i) Hours saved in Row \",O166, \"; (ii) percent of time savings within CBD, or its complement, from Row \",O171, \"; (iii) average value of saved time in Rows \",O168, \" and \",O169, \".\")","v":"Each figure in matrix is product of three elements: (i) Hours saved in Row 166; (ii) percent of time savings within CBD, or its complement, from Row 171; (iii) average value of saved time in Rows 168 and 169."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Annual value of subway riders' saved time",null,null,null,{"$f":"CONCATENATE(\"Sums of Rows \",O173, \" and \",O174, \".\")","v":"Sums of Rows 173 and 174."},null,null,{"$f":"I173+I174","v":1328.9786413573638},{"$f":"J173+J174","v":222.91495093977761},{"$f":"I177+J177","v":1551.8935922971414},"million",null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"3. Bus riders' time gained from fare-free boarding (if applicable)",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":179}]
[null,"These savings are calculated on current ridership to avoid double-counting with mobility benefit of new trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":181}]
[null,"Annual bus ridership (from Buses worksheet)",null,null,null,null,null,null,{"$f":"Buses!L35/1000","v":602.62035600000002},"million",null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Average bus trip distance for commute trips (from VMT worksheet)",null,null,null,null,null,null,{"$f":"Transit!I301*(1+'Sub v. Bus'!G30)","v":2.9039999999999999},"miles",null,null,null,null,{"$f":"ROW()","v":183}]
[null,{"$f":"CONCATENATE(\"Calculated by reducing average distance for NYC Transit bus-commute trips from Schaller, shown in 'Transit' worksheet, Row \",Transit!O301, \", by adjustment factor for all transit trips shown in 'Sub v. Bus' worksheet, Row \",'Sub v. Bus'!I30, \".\")","v":"Calculated by reducing average distance for NYC Transit bus-commute trips from Schaller, shown in 'Transit' worksheet, Row 301, by adjustment factor for all transit trips shown in 'Sub v. Bus' worksheet, Row 30."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Average bus speed",null,null,null,null,null,null,{"$f":"Transit!I307","v":6.7046859337314801},"mph",null,null,null,null,{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"From NYC Transit data, as calculated in 'Transit' worksheet, Row \",Transit!O307, \".\")","v":"From NYC Transit data, as calculated in 'Transit' worksheet, Row 307."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Average duration of a bus trip, currently",null,null,null,null,null,null,{"$f":"I183*60/I186","v":25.987794465269914},"minutes",null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Estimated average reduction in bus travel time from eliminating fare collection",null,null,null,null,null,null,{"$f":"'Bus Boarding'!J161","v":0},null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,{"$f":"CONCATENATE(\"From 'Bus Boarding' worksheet, Row \",'Bus Boarding'!AG161, \". Includes 20% reduction for conservatism.\")","v":"From 'Bus Boarding' worksheet, Row 161. Includes 20% reduction for conservatism."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Average duration of a bus trip, after re-priced transit",null,null,null,null,null,null,{"$f":"I188*(1-I189)","v":25.987794465269914},"minutes",null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Average savings in bus trip duration from eliminating fare collection",null,null,null,null,null,null,{"$f":"I188-I191","v":0},"minutes",null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Assumed waiting time (current), minutes",null,null,null,null,null,null,{"$f":"0.4*2.5+0.4*4.5+0.2*7","v":4.2},"minutes",null,null,null,null,{"$f":"ROW()","v":193}]
[null,"NYC Transit \"Bus: Wait Assessement\" reports wait times within \"acceptable limits\" 81.7% of time during 7 a.m. - 7 p.m. for 2006 and first half 2007 (http://www.mta.info/mta/ind-perform/month/nyct-b-wait.htm). Criteria are 3 minutes max 7-9 a.m. and 4-7 p.m. (peak) and 5 minutes 9 a.m.-4 p.m (shoulder). We assume 40% of passengers are peak and average 2.5 minutes; 40% shoulder averaging 4.5 minutes; 20% off-peak averaging 7 minutes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,{"$f":"CONCATENATE(\"Reduxn in waiting time from eliminating fare collexn (Row \",O193, \" x Row \",O189, \")\")","v":"Reduxn in waiting time from eliminating fare collexn (Row 193 x Row 189)"},null,null,null,null,null,null,{"$f":"I193*I189","v":0},"minutes",null,null,null,null,{"$f":"ROW()","v":198}]
[null,{"$f":"CONCATENATE(\"Est'd total savings per trip from eliminating fare collexn (Row \",O192, \" + Row \",O198, \")\")","v":"Est'd total savings per trip from eliminating fare collexn (Row 192 + Row 198)"},null,null,null,null,null,null,{"$f":"I192+I198","v":0},"minutes",null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Hours saved by bus riders from eliminating fare collection",null,null,null,null,null,null,{"$f":"I182*I199/60","v":0},"million",null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Average value of a bus rider's hour saved",null,null,null,null,null,null,{"$f":"SUMPRODUCT(I137:J137,I139:J139)/K137*I142+SUMPRODUCT(I137:J137,I140:J140)/K137*(1-I142)","v":11.350576778863559},null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,{"$f":"CONCATENATE(\"Wghtd average of in-CBD and out-CBD respective avg per-hour values of saved time, which are calculated from SUMPRODUCT operations on 2x2 array in Columns I & J and Rows \",O139, \" & \",O140, \".\")","v":"Wghtd average of in-CBD and out-CBD respective avg per-hour values of saved time, which are calculated from SUMPRODUCT operations on 2x2 array in Columns I & J and Rows 139 & 140."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Annual value of bus riders' time saved in traffic from eliminating fare collection",null,null,null,null,null,null,{"$f":"ROUND(I200*I201,-1)","v":0},"million","Do not type in this cell; its value is chosen by fare settings in Policy Levers worksheet.",null,null,null,{"$f":"ROW()","v":204}]
[null,"Is elimination of fare collection among the policies assumed in the model?",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K234=0,\"YES\",\"NO\")","v":"NO"},null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"Annual value of bus riders' time saved in traffic from policies assumed in model",null,null,null,null,null,null,{"$f":"I204*IF(I205=\"YES\",1,0)","v":0},"million",null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"B. Drivers' Saved Time That Is Now Lost in Traffic ",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":208}]
[null,"Applies to auto drivers, auto passengers, taxi users and truckers. Bus riders' time is accounted for in prior section.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"All figures are inputted or calculated directly from this or other worksheets, except as noted.",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":210}]
[null,"Method: We first estimate vehicle-hours saved, as the difference in aggregate annual m.v. hours between the current regime and the new. We then multiply those vehicle-hours by estimates of the average value (or cost) per vehicle-hour. The latter are derived in the Value of Time worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Before applying this valuation, however, we must split vehicle-hours saved outside the CBD between (a) hours saved in CBD-bound trips and (b) hours saved in trips that don't cross into or thru CBD, but which benefit from less-crowded roads, highways and bridges due to the decrease in traffic into and through the CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,null,null,{"$f":"ROW()","v":217}]
[null,"Begin subroutine",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,"Daily VMT outside CBD, after pricing",null,null,null,null,null,null,{"$f":"'Motor Vs'!N1000","v":55968150.815138966},{"$f":"'Motor Vs Weekends'!N1000","v":48235507.758012652},null,null,null,null,{"$f":"ROW()","v":219}]
[null,{"$f":"CONCATENATE(\"Motor V's and Motor Vs Weekends tabs, Rows \",'Motor Vs'!O1000, \".\")","v":"Motor V's and Motor Vs Weekends tabs, Rows 1000."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Daily VMT outside CBD and not bound for CBD, after pricing",null,null,null,null,null,null,{"$f":"'Motor Vs'!N1003","v":38943553.49182982},{"$f":"'Motor Vs Weekends'!N1003","v":32526000.770964384},null,null,null,null,{"$f":"ROW()","v":221}]
[null,{"$f":"CONCATENATE(\"Motor V's and Motor Vs Weekends tabs, Rows \",'Motor Vs'!O1003, \".\")","v":"Motor V's and Motor Vs Weekends tabs, Rows 1003."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,"% of Daily VMT outside CBD not bound for CBD, after pricing",null,null,null,null,null,null,{"$f":"I221/I219","v":0.69581633347971683},{"$f":"J221/J219","v":0.67431654154322285},null,null,null,null,{"$f":"ROW()","v":223}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O221, \" to \",184, \".\")","v":"Ratio of Row 221 to 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"End of subroutine",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,null,null,{"$f":"ROW()","v":226}]
[null,"1. Motor Vehicle Users Whose Trips Go Into (and Out of) or Through CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Daily vehicle-hours saved within the CBD",null,null,null,null,null,null,{"$f":"'Motor Vs'!N1057","v":62436.630034179572},{"$f":"'Motor Vs Weekends'!N1057","v":30787.106726023361},null,null,"Note that a small but non-zero number of the within-CBD saved hours (and dollars) shown here are for trips that stay within CBD and aren't in medallion taxis. These \"free rider\" savings (denoted as such since the drivers pay no toll) are relatively small. Still, it might be useful to break them out of the calculation.",null,{"$f":"ROW()","v":228}]
[null,{"$f":"CONCATENATE(\"Both figures calculated in Totals columns block of Row \",'Motor Vs'!O1057, \" in respective Motor Vs worksheets\")","v":"Both figures calculated in Totals columns block of Row 1057 in respective Motor Vs worksheets"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Daily vehicle-hours saved outside the CBD",null,null,null,null,null,null,{"$f":"(1-I223)*I245","v":46651.825218168058},{"$f":"(1-J223)*J245","v":18586.997270220632},null,null,null,null,{"$f":"ROW()","v":230}]
[null,{"$f":"CONCATENATE(\"Product of (i) complement of percent in Row \",O223, \" and (ii) non-CBD hours shown below, in Row \",O245, \".\")","v":"Product of (i) complement of percent in Row 223 and (ii) non-CBD hours shown below, in Row 245."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Total daily vehicle-hours saved in CBD-connected trips",null,null,null,null,null,null,{"$f":"I228+I230","v":109088.45525234763},{"$f":"J228+J230","v":49374.103996243997},{"$f":"I232+J232","v":158462.55924859163},null,null,null,{"$f":"ROW()","v":232}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",$O$228, \" and \",$O$230, \".\")","v":"Sum of Rows 228 and 230."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Number of applicable days in the year",null,null,null,"From 'Constants' worksheet.",null,null,{"$f":"weekday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Total annual vehicle-hours saved in CBD-connected trips",null,null,null,null,{"$f":"CONCATENATE(\"Row \",O232, \" x Row \",$O$234, \".\")","v":"Row 232 x Row 234."},null,{"$f":"I232*I234","v":27272113.813086908},{"$f":"J232*J234","v":5678021.95956806},{"$f":"I235+J235","v":32950135.772654969},null,null,null,{"$f":"ROW()","v":235}]
[null,"Avg value of vehicle-hour saved in traffic ",null,null,null,null,null,null,{"$f":"'Value of Time'!M90","v":51.562375658789044},{"$f":"I236*$M$126","v":30.937425395273426},{"$f":"(I228*wkday_per_yr*I236+J228*wkend_per_yr*J236)/(I228*wkday_per_yr+J228*wkend_per_yr)","v":47.749099793582175},null,null,null,{"$f":"ROW()","v":236}]
[null,{"$f":"CONCATENATE(\"Weekday figure is derived in 'Value of Time' worksheet, Row \",'Value of Time'!O90, \". Weekend figure applies factor from Row \",O126, \",above.\")","v":"Weekday figure is derived in 'Value of Time' worksheet, Row 90. Weekend figure applies factor from Row 126,above."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Annual value of veh-hrs saved in CBD trips, $ millions (includes bus riders)",null,null,null,null,null,null,{"$f":"I235*I236/1000000","v":1406.2149774396369},{"$f":"J235*J236/1000000","v":175.66338076686108},{"$f":"I238+J238","v":1581.878358206498},"million",null,null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O235, \" and \",O236, \".\")","v":"Product of Rows 235 and 236."},null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":239}]
[null,"Bus riders time savings included in above annual values",null,null,null,null,null,null,{"$f":"M145*(1-'Bus Boarding'!$J$162)","v":18.81658623172747},{"$f":"N145*(1-'Bus Boarding'!$J$162)","v":3.5579251978066919},{"$f":"I240+J240","v":22.374511429534163},"million",null,null,{"$f":"ROW()","v":240}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O145, \" and complement of Row \",'Bus Boarding'!AG162, \" from 'Bus Boarding' tab.\")","v":"Product of Rows 145 and complement of Row 162 from 'Bus Boarding' tab."},null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":241}]
[null,"Net annual value of veh-hrs saved within CBD, $ millions (excl. bus riders)",null,null,null,null,null,null,{"$f":"I238-I240","v":1387.3983912079093},{"$f":"J238-J240","v":172.10545556905439},{"$f":"I242+J242","v":1559.5038467769637},"million",null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"2. Motor Vehicle Users Outside of the CBD",null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,"Double-wghtd avgs (wghtd by hrs saved/day and days/year) are illustrative only and do not figure in any calculations.",null,{"$f":"ROW()","v":244}]
[null,"Total daily vehicle-hours saved outside the CBD",null,null,null,null,null,null,{"$f":"'Motor Vs'!N1063","v":153367.29204379316},{"$f":"'Motor Vs Weekends'!N1063","v":57070.743961922461},null,null,null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Both figures calculated in Totals columns block of Row \",'Motor Vs'!O1063, \" in respective Motor Vs worksheets\")","v":"Both figures calculated in Totals columns block of Row 1063 in respective Motor Vs worksheets"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Of which daily veh-hours saved outside CBD, on non-CBD-connected trips, are:",null,null,null,null,null,null,{"$f":"I223*I245","v":106715.4668256251},{"$f":"J223*J245","v":38483.746691702319},null,null,null,null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Product of (i) percent in Row \",O223, \" and (ii) total non-CBD hours shown in Row \",O245, \".\")","v":"Product of (i) percent in Row 223 and (ii) total non-CBD hours shown in Row 245."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,{"$f":"CONCATENATE(\"Same as Row \",O247, \", except annually, not daily:\")","v":"Same as Row 247, except annually, not daily:"},null,null,null,null,{"$f":"CONCATENATE(\"Row \",O247, \" x Row \",$O$234, \".\")","v":"Row 247 x Row 234."},null,{"$f":"I247*I234","v":26678866.706406277},{"$f":"J247*J234","v":4425630.8695457671},{"$f":"I249+J249","v":31104497.575952046},null,null,null,{"$f":"ROW()","v":249}]
[null,"Avg value of veh-hr saved in traffic outside CBD",null,null,null,null,null,null,{"$f":"'Value of Time'!M126","v":29.388806276713776},{"$f":"I250*$M$126","v":17.633283766028264},{"$f":"(I245*wkday_per_yr*I250+J245*wkend_per_yr*J250)/(I245*wkday_per_yr+J245*wkend_per_yr)","v":27.670664444995825},null,null,null,{"$f":"ROW()","v":250}]
[null,{"$f":"CONCATENATE(\"Weekday figure is derived in 'Value of Time' worksheet, Row \",'Value of Time'!O126, \". Weekend figure applies factor from Row \",O126, \",above.\")","v":"Weekday figure is derived in 'Value of Time' worksheet, Row 126. Weekend figure applies factor from Row 126,above."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Ann. value of veh-hrs saved on non-CBD trips, $ millions (includes bus riders)",null,null,null,null,null,null,{"$f":"I249*I250/1000000","v":784.06004531684289},{"$f":"J249*J250/1000000","v":78.038404966394921},{"$f":"I252+J252","v":862.09845028323775},"million",null,null,{"$f":"ROW()","v":252}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O249, \" and \",O250, \".\")","v":"Product of Rows 249 and 250."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Bus riders time savings included in above annual values",null,null,null,null,null,null,{"$f":"M146*(1-'Bus Boarding'!$J$162)","v":50.17756328460657},{"$f":"N146*(1-'Bus Boarding'!$J$162)","v":9.4878005274845094},{"$f":"I254+J254","v":59.66536381209108},"million",null,null,{"$f":"ROW()","v":254}]
[null,{"$f":"CONCATENATE(\"From lower row in matrix at right in Rows \",$O$145, \" and \",$O$146, \".\")","v":"From lower row in matrix at right in Rows 145 and 146."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"Net ann. Val. of veh-hrs saved on non-CBD trips, $ mill. (excludes bus riders)",null,null,null,null,null,null,{"$f":"I252-I254","v":733.88248203223634},{"$f":"J252-J254","v":68.550604438910412},{"$f":"I256+J256","v":802.43308647114679},"million",null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,"3. Motor Vehicle Users Whose Trips On Corridors That Include MTA Bridges Will Consume More Time if those Tolls Are Discounted",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":258}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Total annual vehicle-hours added to trips on the 7 MTA bridges",null,null,null,null,null,null,null,null,{"$f":"'MTA Crossings'!AA315","v":909778.68587481603},null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":260}]
[null,{"$f":"CONCATENATE(\"Appears in Cell AA\",'MTA Crossings'!AL315, \" in MTA Crossings worksheet where it is calculated as a single annual number. Figure is calculated on baseline # of trips so does not reflect hours in traffic of the new trips.\")","v":"Appears in Cell AA315 in MTA Crossings worksheet where it is calculated as a single annual number. Figure is calculated on baseline # of trips so does not reflect hours in traffic of the new trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Avg value of veh-hr saved in traffic outside CBD",null,null,null,null,null,null,null,null,{"$f":"K250","v":27.670664444995825},null,null,null,{"$f":"ROW()","v":263}]
[null,{"$f":"CONCATENATE(\"Copied from Cell K\",O250, \". Implicitly reflects premise that weekend/weekday split of time added to MTA bridge trips is same as that for all vehicle trips outside CBD.\")","v":"Copied from Cell K250. Implicitly reflects premise that weekend/weekday split of time added to MTA bridge trips is same as that for all vehicle trips outside CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Annual dollar cost of time added to trips using MTA bridges, $ millions (includes bus riders)",null,null,null,null,null,null,null,null,{"$f":"K260*K263/1000000","v":25.174180736051298},"million",null,null,{"$f":"ROW()","v":266}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O260, \" and \",O263, \".\")","v":"Product of Rows 260 and 263."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Annual dollar benefit of time added to trips using MTA bridges, $ millions (includes bus riders)",null,null,null,null,null,null,null,null,{"$f":"-K266","v":-25.174180736051298},"million",null,null,{"$f":"ROW()","v":268}]
[null,{"$f":"CONCATENATE(\"Additive inverse of Row \",O266,\".\")","v":"Additive inverse of Row 266."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"4. Taxi Passengers, Change in Hail Time",null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":271}]
[null,"Annual taxi person-trips, baseline, millions",null,null,null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Rows \",Taxis!O77, \" & \",Taxis!O354, \", w/ wkday & wknd multipliers.\")","v":"From 'Taxis' worksheet, Rows 77 & 354, w/ wkday & wknd multipliers."},null,null,{"$f":"Taxis!L77*wkday_per_yr/1000000","v":106.73114921444821},{"$f":"Taxis!M77*wkend_per_yr/1000000","v":48.481380152312987},{"$f":"I272+J272","v":155.2125293667612},"million",null,null,{"$f":"ROW()","v":272}]
[null,"Annual taxi person-trips, with pricing, millions",null,null,null,null,null,null,{"$f":"Taxis!L354*wkday_per_yr/1000000","v":113.26392252841339},{"$f":"Taxis!N354*wkend_per_yr/1000000","v":50.359144101944764},{"$f":"I273+J273","v":163.62306663035815},"million",{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":273}]
[null,"Average \"hail time\" per trip, baseline, minutes",null,null,null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Row \",Taxis!O549, \".\")","v":"From 'Taxis' worksheet, Row 549."},null,null,{"$f":"Taxis!E557","v":4.3600000000000003},{"$f":"Taxis!H557","v":4.3600000000000003},null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Average \"hail time\" per trip, w/ pricing, minutes",null,null,null,null,null,null,{"$f":"Taxis!F557","v":4.2601149328992989},{"$f":"Taxis!I557","v":4.2896056233021067},null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Total \"hail time\" for all taxi trips, baseline, millions of hours",null,null,null,null,null,null,{"$f":"I$272*I274/60","v":7.7557968429165705},{"$f":"J$272*J274/60","v":3.5229802910680776},{"$f":"I276+J276","v":11.278777133984647},"million",null,null,{"$f":"ROW()","v":276}]
[null,"Total \"hail time\" for all taxi trips, w/ pricing (but calc'd only on baseline), million hrs",null,null,null,null,null,null,{"$f":"I$272*I275/60","v":7.578116042899568},{"$f":"J$272*J275/60","v":3.4661000154468153},{"$f":"I277+J277","v":11.044216058346382},"million",null,null,{"$f":"ROW()","v":277}]
[null,{"$f":"CONCATENATE(\"Both rows multiply baseline trips in Row \",O272, \" by Row \",O274, \" (for Row \",O276, \") and Row \",O275, \" (for Row \",O277, \"), respectively, also dividing by 60 to convert minutes to hours.\")","v":"Both rows multiply baseline trips in Row 272 by Row 274 (for Row 276) and Row 275 (for Row 277), respectively, also dividing by 60 to convert minutes to hours."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Change in total \"hail time\" for all taxi trips, w/ pricing, million hrs",null,null,null,null,null,null,{"$f":"I277-I276","v":-0.17768080001700248},{"$f":"J277-J276","v":-5.68802756212623E-2},{"$f":"I279+J279","v":-0.23456107563826478},"million",null,null,{"$f":"ROW()","v":279}]
[null,{"$f":"CONCATENATE(\"Row \",O277, \" less Row \",O276, \".\")","v":"Row 277 less Row 276."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,"Average cost to taxi passengers of their time spent hailing a cab (per hour)",null,null,null,null,null,null,{"$f":"'Value of Time'!L69-'Value of Time'!L70","v":50.655922958720737},{"$f":"$M$126*I281","v":30.393553775232441},null,null,null,null,{"$f":"ROW()","v":281}]
[null,{"$f":"CONCATENATE(\"Weekdays is diff. btw per-hr value of time for occupied vs. unoccupied cab, from 'Value of Time', Rows \",'Value of Time'!O109,\" & \",'Value of Time'!O110,\". Weekends applies factor in Row \",$O$126, \".\")","v":"Weekdays is diff. btw per-hr value of time for occupied vs. unoccupied cab, from 'Value of Time', Rows 109 & 110. Weekends applies factor in Row 126."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"Value of saved hail time, annual total, $ millions",null,null,null,null,null,null,{"$f":"-I279*I281","v":9.0005849169051437},{"$f":"-J279*J281","v":1.7287937158448785},{"$f":"I283+J283","v":10.729378632750022},"million",null,null,{"$f":"ROW()","v":283}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O281, \" and \",O279, \".\")","v":"Product of Rows 281 and 279."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,"This item hasn't been integrated\ninto cost-benefit totals",null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"5. Medallion Taxi Drivers, Change in Cruising Time",null,null,null,null,"This item is apart from any cruising time savings from changed travel speeds.",null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":286}]
[null,"Estimated change in taxi cruising VMT, per day",null,null,null,null,null,null,{"$f":"Taxis!L419","v":-11405.530379834381},{"$f":"Taxis!N419","v":-6431.139364241204},{"$f":"I287+J287","v":-17836.669744075585},null,null,null,{"$f":"ROW()","v":287}]
[null,{"$f":"CONCATENATE(\"Copied from 'Taxis', Row \",Taxis!O419, \".\")","v":"Copied from 'Taxis', Row 419."},null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":288}]
[null,"Average taxi speed, mph, after pricing",null,null,null,null,null,null,{"$f":"Taxis!G493","v":13.064305958062498},{"$f":"Taxis!L493","v":14.178796918500833},null,null,null,null,{"$f":"ROW()","v":289}]
[null,{"$f":"CONCATENATE(\"Copied from 'Taxis', Row \",Taxis!O493, \". We use 'after' rather than 'before' (or combination) to avoid taking credit for improvements in travel speed.\")","v":"Copied from 'Taxis', Row 493. We use 'after' rather than 'before' (or combination) to avoid taking credit for improvements in travel speed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,"Estimated change in taxi cruising hours, per day",null,null,null,null,null,null,{"$f":"I287/I289","v":-873.02995019001207},{"$f":"J287/J289","v":-453.57440417597769},{"$f":"I291+J291","v":-1326.6043543659898},null,null,null,{"$f":"ROW()","v":291}]
[null,{"$f":"CONCATENATE(\"Row \",O287, \" divided by Row \",O289, \".\")","v":"Row 287 divided by Row 289."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"Estimated change in taxi cruising hours, per year",null,null,null,null,null,null,{"$f":"I291*wkday_per_yr","v":-218257.48754750303},{"$f":"J291*wkend_per_yr","v":-52161.056480237436},{"$f":"I293+J293","v":-270418.54402774049},null,null,null,{"$f":"ROW()","v":293}]
[null,{"$f":"CONCATENATE(\"Row \",O291, \" times weekday & weekend multipliers.\")","v":"Row 291 times weekday & weekend multipliers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,"Average cost to taxi drivers and vehicle owners of time spent cruising (per hour)",null,null,null,null,null,null,{"$f":"'Value of Time'!$L$70","v":15.098635755207372},{"$f":"'Value of Time'!$L$70","v":15.098635755207372},null,null,null,null,{"$f":"ROW()","v":295}]
[null,{"$f":"CONCATENATE(\"Both figures are from 'Value of Time', Row \",'Value of Time'!O70, \".\")","v":"Both figures are from 'Value of Time', Row 70."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,"Value of saved cruising time to taxicab drivers and owners, $ millions",null,null,null,null,null,null,{"$f":"-I293*I295/1000000","v":3.2953903053264573},{"$f":"-J293*J295/1000000","v":0.78756079240190413},{"$f":"I297+J297","v":4.0829510977283618},"million",null,null,{"$f":"ROW()","v":297}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O295, \" and \",O293, \".\")","v":"Product of Rows 295 and 293."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,"6. Summary, Motor Vehicle Users' Time Savings",null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,null,null,{"$f":"ROW()","v":300}]
[null,"Annual value of all vehicle-hours saved ",null,null,null,null,null,null,{"$f":"I242+I256+I283","v":2130.2814581570506},{"$f":"J242+J256+J283","v":242.3848537238097},{"$f":"I301+J301","v":2372.6663118808601},"million",null,null,{"$f":"ROW()","v":301}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O242, \", \",$O$256, \" and \",$O283, \".\")","v":"Sum of Rows 242, 256 and 283."},null,null,{"$f":"CONCATENATE(\"[but not yet Row \",O297, \"… TK]\")","v":"[but not yet Row 297… TK]"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"CBD-bound (or in or thru) trips' share of time savings value",null,null,null,null,null,null,{"$f":"I242/I301","v":0.65127468762187679},{"$f":"J242/J301","v":0.71005037206311339},{"$f":"K242/K301","v":0.65727904466292764},null,null,null,{"$f":"ROW()","v":303}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O242, \" to \",O301, \".\")","v":"Ratio of Row 242 to 301."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"But these figures do not reflect time cost from increased use of (discounted) MTA bridges:",null,null,null,null,null,null,null,null,{"$f":"K268","v":-25.174180736051298},"million",null,null,{"$f":"ROW()","v":305}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"C. Mobility Changes (more transit trips, fewer m.v. trips)",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":307}]
[null,"Method: Car trips that are no longer taken, due to cordon entry fee or re-priced transit, provided utility to the trip-takers. The number of such trips and their average and aggregate value are estimated in Part 1. Conversely, new transit trips taken due to transit's now being re-priced have value for those trip-takers, estimated in Part 2.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":309}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,null,null,{"$f":"ROW()","v":311}]
[null,"1. Motor Vehicle Trips no longer taken",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,"A. Auto Trips Into the CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Trips into or through CBD eliminated, per day",null,null,null,null,null,null,{"$f":"-'Motor Vs'!N983","v":79244.638642870355},{"$f":"-'Motor Vs Weekends'!N983","v":39696.465668209363},null,null,null,null,{"$f":"ROW()","v":314}]
[null,"From Motor Vs and Motor Vs Weekends worksheets.",null,null,null,null,{"$f":"CONCATENATE(\"(Row \",'Motor Vs'!O983, \")\")","v":"(Row 983)"},null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Trips into or through the CBD eliminated, per year",null,null,null,null,null,null,{"$f":"ROUND(I314*I234,-3)","v":19811000},{"$f":"ROUND(J314*J234,-3)","v":4565000},null,null,null,null,{"$f":"ROW()","v":316}]
[null,"Increment in trips' cost that led trip-takers to eliminate them",null,null,null,null,null,null,{"$f":"'Motor Vs'!L345-'Motor Vs'!N1089","v":7.1926969594529409},{"$f":"'Motor Vs Weekends'!L345-'Motor Vs Weekends'!N1089","v":5.1945648400977422},null,null,null,null,{"$f":"ROW()","v":317}]
[null,"Difference between 'before\" and 'after' average tolls, from Motor Vs and Motor Vs Weekends worksheets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,"Estimated average net benefit (pre-toll) of eliminated trips to trip-takers",null,null,null,null,null,null,{"$f":"0.5*I317","v":3.5963484797264704},{"$f":"0.5*J317","v":2.5972824200488711},null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Calculated as half of the cost increase that led trip-takers to eliminate the trips, i.e., that tipped each trip-taker's private cost-benefit calculus from the black into the red. The one-half factor is midpoint of the actual range of values, which is as little as .01 cents to as much as the entire cost increment.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Lost value of the m.v. trips no longer taken, per year",null,null,null,null,null,null,{"$f":"I316*I319/1000000","v":71.247259731861107},{"$f":"J316*J319/1000000","v":11.856594247523097},{"$f":"I323+J323","v":83.103853979384198},"million",null,null,{"$f":"ROW()","v":323}]
[null,"B. Non-CBD Auto Trips (abandoned due to less-expensive buses)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Trips eliminated, per day",null,null,null,null,null,null,{"$f":"-VMT!J131","v":13260.869565217392},{"$f":"-VMT!J152","v":5614.492753623188},null,null,null,null,{"$f":"ROW()","v":325}]
[null,"Trips eliminated, per year",null,null,null,null,null,null,{"$f":"ROUND(I325*I234,-3)","v":3315000},{"$f":"ROUND(J325*J234,-3)","v":646000},null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Effective reduction in transit fare that led to those trips being eliminated",null,null,null,null,null,null,{"$f":"(Buses!I78-Buses!I83)*Transit!$I$73*Buses!I142","v":0},{"$f":"(Buses!J78-Buses!J83)*Transit!$I$73*Buses!J142","v":0},null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Difference betw old and new bus fares, factored by % of change in bus usage attributable to price rather than to changes in service or taxi surcharge.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,"Estimated average net benefit of eliminated trips to trip-takers (= 1/2 of old fare)",null,null,null,null,null,null,{"$f":"I327/2","v":0},{"$f":"J327/2","v":0},null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Calculated as half of transit fare reduction, for reasons outlined in previous sub-section for trips into CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,"Lost value of the m.v. trips no longer taken, per year",null,null,null,null,null,null,{"$f":"I326*I329/1000000","v":0},{"$f":"J326*J329/1000000","v":0},{"$f":"I331+J331","v":0},"million",null,null,{"$f":"ROW()","v":331}]
[null,"C. Non-CBD Auto Trips (abandoned due to less-expensive subways; note that CBD-related auto trips transferred to subways are counted in Part A)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,"Trips eliminated, per day",null,null,null,null,null,null,{"$f":"-VMT!J198","v":50913.16522659648},{"$f":"-VMT!J234","v":18312.052778957033},null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Trips eliminated, per year",null,null,null,null,null,null,{"$f":"ROUND(I333*I234,-3)","v":12728000},{"$f":"ROUND(J333*J234,-3)","v":2106000},null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Effective reduction in transit fare that led to those trips being eliminated",null,null,null,null,null,null,{"$f":"(Subways!R513-Subways!R514)*(VMT!H225/(VMT!H225+VMT!H227))","v":2.5568199362652139E-3},{"$f":"(Subways!R513-Subways!R517)*(VMT!I225/(VMT!I225+VMT!I227))","v":-6.0861568519669868E-8},null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Fiigure is average difference between old and weekday/weekend new subway fare.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"Estimated average net benefit of eliminated trips to trip-takers (= 1/2 of old fare)",null,null,null,null,null,null,{"$f":"I335/2","v":1.278409968132607E-3},{"$f":"J335/2","v":-3.0430784259834934E-8},null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Calculated as half of transit fare reduction, for reasons outlined in previous sub-section for trips into CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,"Lost value of the m.v. trips no longer taken, per year",null,null,null,null,null,null,{"$f":"I334*I337/1000000","v":1.6271602074391822E-2},{"$f":"J334*J337/1000000","v":-6.4087231651212364E-8},{"$f":"I339+J339","v":1.6271537987160172E-2},"million",null,null,{"$f":"ROW()","v":339}]
[null,"D. Taxi Trips (abandoned due to higher taxi fare; excludes taxi trips switching to transit/auto/bike/walk due to higher fare)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,"Trips eliminated, per day",null,null,null,null,null,null,{"$f":"Taxis!I665","v":-522.62186511721097},{"$f":"Taxis!L665","v":-326.56764341422269},null,null,null,null,{"$f":"ROW()","v":341}]
[null,"Trips eliminated, per year",null,null,null,null,null,null,{"$f":"I341*weekday_per_yr","v":-130655.46627930274},{"$f":"J341*wkend_per_yr","v":-37555.278992635605},null,null,null,null,{"$f":"ROW()","v":342}]
[null,"Increase in taxi fare that led to those trips being eliminated",null,null,null,null,null,null,{"$f":"(Taxis!L330-1)*Taxis!L190","v":0},{"$f":"(Taxis!N330-1)*Taxis!M190","v":0},null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Estimated average net benefit of eliminated trips to trip-takers (= 1/2 of fare incrs)",null,null,null,null,null,null,{"$f":"0.5*I343","v":0},{"$f":"0.5*J343","v":0},null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Lost value of the taxi trips no longer taken, per year",null,null,null,null,null,null,{"$f":"(I344*I342)/1000000","v":0},{"$f":"(J344*J342)/1000000","v":0},{"$f":"I345+J345","v":0},"million",null,null,{"$f":"ROW()","v":345}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":347}]
[null,"2. New Trips taken on Transit (attracted by re-priced transit; trips priced out of m.v.'s are counted in Section 1C above)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"A. Subway Trips Into CBD",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":349}]
[null,"New trips into/out of CBD per year due to re-priced transit",null,null,null,null,null,null,{"$f":"IF(Subways!AN155+Subways!AN195=0,0,(ROUND(1000*Subways!N41*(Subways!N508-Subways!N502)*Subways!AN155/(Subways!AN155+Subways!AN195),-3)))","v":0},{"$f":"IF(AVERAGE(Subways!R459,Subways!T459)+AVERAGE(Subways!R475,Subways!T475)=0,0,ROUND(1000*Subways!N41*(Subways!N510-Subways!N504)*(AVERAGE(Subways!R459,Subways!T459)/(AVERAGE(Subways!R459,Subways!T459)+AVERAGE(Subways!R475,Subways!T475))),-3))","v":0},null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Both figures calculate change in annual subway rides for weekdays/weekends, and prorate by the portion of the change attributable to fare changes as opposed to duration changes. Both figures are also prorated by CBD-related trips' share of all subway trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Estimated average net benefit of new transit trips to trip-takers (est'd. above)",null,null,null,null,null,null,{"$f":"I335/2","v":1.278409968132607E-3},{"$f":"J335/2","v":-3.0430784259834934E-8},null,null,null,null,{"$f":"ROW()","v":353}]
[null,"New value of the new transit trips into the CBD, per year",null,null,null,null,null,null,{"$f":"I350*I353/1000000","v":0},{"$f":"J350*J353/1000000","v":0},{"$f":"I354+J354","v":0},"million",null,null,{"$f":"ROW()","v":354}]
[null,"B. Other Subway Trips (non-CBD-related)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"Change in non-CBD trips per year due to re-priced transit",null,null,null,null,null,null,{"$f":"ROUND(((1-Subways!$N$41)/Subways!$N$41)*I350,-3)","v":0},{"$f":"ROUND(((1-Subways!$N$41)/Subways!$N$41)*J350,-3)","v":0},null,null,null,null,{"$f":"ROW()","v":356}]
[null,{"$f":"CONCATENATE(\"Prorates Row \",O350,\" figures by ratio of non-CBD-related weekday subway trips to CBD-related, using figure in Subways worksheet, Row \",Subways!O41, \".\")","v":"Prorates Row 350 figures by ratio of non-CBD-related weekday subway trips to CBD-related, using figure in Subways worksheet, Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"Estimated average net benefit of new transit trips to trip-takers (see above)",null,null,null,null,null,null,{"$f":"I335/2","v":1.278409968132607E-3},{"$f":"J335/2","v":-3.0430784259834934E-8},null,null,null,null,{"$f":"ROW()","v":358}]
[null,"New value of the new transit trips, per year",null,null,null,null,null,null,{"$f":"I356*I358/1000000","v":0},{"$f":"J356*J358/1000000","v":0},{"$f":"I359+J359","v":0},"million",null,null,{"$f":"ROW()","v":359}]
[null,"C. Bus Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Change in trips per year due to re-priced transit",null,null,null,null,null,null,null,null,{"$f":"Buses!H138","v":0},"million",null,null,{"$f":"ROW()","v":361}]
[null,"Taken directly from Buses worksheet, Section 3D, where it was derived using a work/non-work split rather than weekday/weekend.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Estimated average net benefit of new transit trips to trip-takers (see above)",null,null,null,null,null,null,null,null,{"$f":"I327/2","v":0},null,null,null,{"$f":"ROW()","v":363}]
[null,"New value of the new transit trips, per year",null,null,null,null,null,null,null,null,{"$f":"K361*K363","v":0},"million",null,null,{"$f":"ROW()","v":364}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"D. Reduced Crash Damage Costs",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":366}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,"Method: Ascertain annual NYC traffic injuries, with latter separated among fatal, severe, serious and other. Estimate average \"value\" or societal cost per injury type, and multiply by respective injury number. Add allowance for cost of non-injury crashes. Prorate resulting sum by anticipated percentage reduction in citywide crash injuries estimated in Crashes worksheet tab.",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":368}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":371}]
[null,"Original source of per-crash costs in this analysis was Blincoe, L. J., Miller, T. R., Zaloshnja, E., & Lawrence, B. A., \"The economic and societal impact of motor vehicle crashes, 2010.\" (Report No. DOT HS 812 013). National Highway Traffic Safety Administration, May 2014.  Available at http://www-nrd.nhtsa.dot.gov/Pubs/812013.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,"However, on June 24, 2019, we learned that the original versionof the report was superseded by a 2015 revision, available at the same link as given directly above. The rationale for the revision was stated in the following note appearing on p 2 of the revised report: \"The Economic and SocietalImpact of Motor Vehicle Crashes was originally published in May 2014. Subsequent to its publication, a coding error was discovered in the SAS program that was used to aggregate costs to persons wtih multiple injuries. This error impacted estimates of medical care costs, lost work and household productivity, and insurance administrative and legal costs. After evaluating the potential impact of this error, the authors determined that it was large enough to warrant a revision to the base report. This revised report thus replaces the May 2014 in its entirety.\" On this day, we therefore updated the originally reported unit costs for those categories.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,"Source of \"splits\" of injuries by severity is NYCDOT, \"NYC Pedestrian Safety Study & Action Plan, Technical Supplement,\" Aug. 2010. Table 1-6, p. 28/83. Report is available at http://bit.ly/eatYGP. We apply these MAIS (Maximum Abbreviated Injury Scale) severity percentages to all 2014 crashes, notwithstanding that they were developed on 2002-2006 pedestrian crash injuries.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,"Baseline Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,"Year-2014 injuries in New York City traffic crashes",null,null,null,null,null,null,null,null,{"$f":"Crashes!O56","v":51181},null,null,null,{"$f":"ROW()","v":390}]
[null,"Year-2014 deaths in New York City traffic crashes",null,null,null,null,null,null,null,null,{"$f":"Crashes!O61","v":263},null,null,null,{"$f":"ROW()","v":391}]
[null,{"$f":"CONCATENATE(\"Copied from Rows \",Crashes!P56,\" and \",Crashes!P61, \" of 'Crashes' worksheet. Figures were compiled by Michael Cohen of Sam Schwartz Engineering, based on NYPD database data, and are mutually exclusive (i.e., fatalities aren't counted in injuries.\" & \" Note that subsequent tallies put the fatality figure at around 268; nevertheless, we use the 'official' NYPD datum.\")","v":"Copied from Rows 56 and 61 of 'Crashes' worksheet. Figures were compiled by Michael Cohen of Sam Schwartz Engineering, based on NYPD database data, and are mutually exclusive (i.e., fatalities aren't counted in injuries. Note that subsequent tallies put the fatality figure at around 268; nevertheless, we use the 'official' NYPD datum."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,"Distribution of NYC pedestrian crash injuries into MAIS (Maximum Abbreviated Injury Scale) categories",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,null,null,"MAIS_0","MAIS_1","MAIS_2","MAIS_3","MAIS_4","MAIS_5","MAIS_6","MAIS_9","All",null,null,{"$f":"ROW()","v":397}]
[null,null,null,"No Injury","Minor","Moderate","Serious","Severe","Critical","Maximum","Unknown",null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,34596,6821,4380,1589,712,319,9,12,{"$f":"SUM(D399:K399)","v":48438},"??",null,{"$f":"ROW()","v":399}]
[null,null,null,{"$f":"D399/$L$399","v":0.71423262727610559},0.14081919154382921,9.0424873033568692E-2,3.2804822659895122E-2,1.4699203105000206E-2,6.5857384697964412E-3,1.8580453363062059E-4,2.4773937817416079E-4,1,null,null,{"$f":"ROW()","v":400}]
[null,{"$f":"CONCATENATE(\"Row \",O399, \" figures are from NYDDOT study referenced in Rows \",O385, \"-\",O387, \". Row \",O400, \" percentages are calculated from total in Cell L\",O399, \". Details about MAIS categories are available at http://en.wikipedia.org/wiki/Abbreviated_Injury_Scale.\")","v":"Row 399 figures are from NYDDOT study referenced in Rows 385-387. Row 400 percentages are calculated from total in Cell L399. Details about MAIS categories are available at http://en.wikipedia.org/wiki/Abbreviated_Injury_Scale."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403}]
[null,"Distribution of 2014 NYC crash injuries into MAIS categories",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":404}]
[null,null,null,"MAIS_0","MAIS_1","MAIS_2","MAIS_3","MAIS_4","MAIS_5","Fatal","All",null,"From NYC Ped SSAP, Tech Supp. just referenced, p. 5.This study defines severe injuries (or “A” injuries) according to NYSDMV criteria. NYSDMV-categorized severe injuries include all injuries involving an unconscious, semiconscious or incoherent victim, all injuries involving amputation, concussion, internal injuries, severe bleeding, moderate or severe burns, fractures or dislocations, and eye injuries. These injuries typically involve a pedestrian being transported from the scene by ambulance. ",null,{"$f":"ROW()","v":405}]
[null,null,null,"No Injury","Minor","Moderate","Serious","Severe","Critical",null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,null,null,{"$f":"D400*$K$390","v":36555.140096618357},7207.2670424047228,4628.0354267310795,1678.9836285560923,752.31991411701551,337.06468062265168,{"$f":"Crashes!O61","v":263},{"$f":"SUM(D407:J407)","v":51421.810789049916},null,null,null,{"$f":"ROW()","v":407}]
[null,{"$f":"CONCATENATE(\"Calculated by applying Row \",O400, \" percents to total injuries in Cell K\",O390, \", except that fatals are copied from Cell K\",O391, \". For simplicity, we ignore any MAIS_6 and MAIS_9 injuries.\")","v":"Calculated by applying Row 400 percents to total injuries in Cell K390, except that fatals are copied from Cell K391. For simplicity, we ignore any MAIS_6 and MAIS_9 injuries."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,{"$f":"CONCATENATE(\"Per-crash costs, per NHTSA report by Blincoe et al. referenced in Rows \",O372, \"-\",O374, \". Figures are U.S. averages, 2010$.\")","v":"Per-crash costs, per NHTSA report by Blincoe et al. referenced in Rows 372-374. Figures are U.S. averages, 2010$."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,null,null,"MAIS_0","MAIS_1","MAIS_2","MAIS_3","MAIS_4","MAIS_5","Fatal",null,null,null,null,{"$f":"ROW()","v":412}]
[null,null,"Medical",0,2799,11453,48620,136317,384273,11317,null,null,null,null,{"$f":"ROW()","v":413}]
[null,null,"EMS",21,89,194,416,838,855,902,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,"Market (earnings loss)",0,2726,19359,64338,140816,337607,933262,null,null,null,null,{"$f":"ROW()","v":415}]
[null,null,"Household production",45,862,7106,22688,37541,95407,289910,null,null,null,null,{"$f":"ROW()","v":416}]
[null,null,"Insurance premiums",143,3298,4659,15371,28228,72525,28322,null,null,null,null,{"$f":"ROW()","v":417}]
[null,null,"Workplace",46,341,2644,5776,6361,11091,11783,null,null,null,null,{"$f":"ROW()","v":418}]
[null,null,"Legal costs",0,1182,3351,12402,26668,82710,106488,null,null,null,null,{"$f":"ROW()","v":419}]
[null,null,"Subtotal Unit Cost",255,11297,48766,169611,376769,984468,1381984,null,null,null,null,{"$f":"ROW()","v":420}]
[null,null,"Lost Quality of Life",0,23241,340872,805697,2037483,4578525,7747082,null,null,null,null,{"$f":"ROW()","v":421}]
[null,null,"Total Unit Cost",{"$f":"D420+D421","v":255},34538,389638,975308,2414252,5562993,9129066,null,null,null,null,{"$f":"ROW()","v":422}]
[null,"Figures are from Table 1-2 of Blincoe et al., p. 17/304, except that Quality of Life cost is from Table 1-9 (which also shows other costs above). Component costs are shown for context. They sum to subtotals shown. Figures exclude congestion costs and property damage costs included in the original. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,"Per-crash cost (total) inflated to 2019 dollars ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,"Total",{"$f":"ROUND(D422*CPI_2019/CPI_2010,-2)","v":300},40600,457700,1145600,2835800,6534300,10723000,null,null,null,null,{"$f":"ROW()","v":428}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying Row \",O422, \" figures by ratio of 2019 to 2010 CPI's in Constants worksheet. Figures are rounded to nearest hundred.\")","v":"Calculated by multiplying Row 422 figures by ratio of 2019 to 2010 CPI's in Constants worksheet. Figures are rounded to nearest hundred."},null,null,null,null,null,null,null,null,null,null,"Percent accounted for by injuries (vs. fatals)",null,{"$f":"ROW()","v":429}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,"NYC crash costs, by MAIS category and summed across categories ($2019, millions)",null,null,null,null,null,null,null,null,"Total",null,null,null,{"$f":"ROW()","v":431}]
[null,null,null,{"$f":"D428*D407/1000000","v":10.966542028985508},292.61504192163176,2118.2518148148151,1923.4436448738595,2133.4288124530326,2202.4817425925926,2820.1489999999999,{"$f":"SUM(D432:J432)","v":11501.336598684917},null,{"$f":"1-J432/K432","v":0.75479815099729708},null,{"$f":"ROW()","v":432}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying Row \",O428, \" cost figures by respective numbers of injuries or fatals in Row \",O407, \".\")","v":"Calculated by multiplying Row 428 cost figures by respective numbers of injuries or fatals in Row 407."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Anticipated percent change in NYC crash costs from pricing plan selected for analysis",null,null,null,null,null,null,null,null,{"$f":"Crashes!L16","v":-2.8842743288595062E-2},null,null,null,{"$f":"ROW()","v":435}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",Crashes!P16,\" of 'Crashes' worksheet.\")","v":"Copied from Row 16 of 'Crashes' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437}]
[null,"Anticipated $$ change in NYC crash costs from pricing plan selected for analysis (2019, $millions)",null,null,null,null,null,null,null,null,{"$f":"K435*K432","v":-331.73009899159211},null,null,null,{"$f":"ROW()","v":438}]
[null,{"$f":"CONCATENATE(\"Product of Rows \", O435, \" and \",O432, \".\")","v":"Product of Rows 435 and 432."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,"E. Reduced Climate Damage from Lesser Carbon Emissions",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":441}]
[null,"This entry is intended to capture the avoided climate damage associated with the reduced use of motor vehicle fuels (gasoline and diesel) due to the changes in vehicle miles traveled and traffic speeds from our pricing proposals.We use a mid-range figure for carbon (emissions) taxes in bills considered in Congress.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":443}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":445}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends","Combined",null,null,null,{"$f":"ROW()","v":446}]
[null,"Change in CO2 emissions due directly to cordon tolling, metric tons (per year)",null,null,null,null,null,null,{"$f":"Emissions!N342","v":-673881.43284995796},{"$f":"Emissions!W342","v":-130830.7868549925},{"$f":"I447+J447","v":-804712.21970495046},null,null,null,{"$f":"ROW()","v":447}]
[null,"Derived in Emissions worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"Of which light-vehicle component (passenger vehicles, excluding trucks and buses) is:",null,null,null,null,null,null,null,null,{"$f":"Emissions!Z354","v":-641267.59706627659},null,null,null,{"$f":"ROW()","v":449}]
[null,{"$f":"CONCATENATE(\"From 'Emissions' worksheet, Row \",Emissions!AG354, \".\")","v":"From 'Emissions' worksheet, Row 354."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null," Mid-range price imputed to a metric ton of CO2 in carbon tax bills",null,null,null,null,null,null,50,null,null,null,null,null,{"$f":"ROW()","v":451}]
[null,"Komanoff figure. Is consistent with mean of 2015 and 2020 values of $36 and $42, respectively, per metric ton, given in boldfaced \"3%\" column in USEPA Fact Sheet, \"Social Cost of Carbon,\" Dec. 2016, p. 4 of 5, available at https://www.epa.gov/sites/production/files/2016-12/documents/social_cost_of_carbon_fact_sheet.pdf, if inflated from 2007 to 2017 dollars.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,"Climate damage costs eliminated by proposed policy",null,null,null,null,null,null,null,null,{"$f":"-K447*I451/1000000","v":40.235610985247526},"million",null,null,{"$f":"ROW()","v":456}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O447, \" and \",O451, \", with sign reversed.\")","v":"Product of Rows 447 and 451, with sign reversed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458}]
[null,"F. Reduced Petroleum Consumption ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":459}]
[null,"(Pertains to national-security and ecological costs of oil extraction, transport and refining. Note, combustion is covered elsewhere.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":460}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461}]
[null,"Part 1: Estimate per-gallon reduction in military and national-security costs attributable to the selected plan",null,null,null,null,null,null,null,null,null,{"$f":"L489/$L$495","v":0.18514851657239023},"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":462}]
[null,{"$f":"CONCATENATE(\"Row \",O489, \" divided by Row \",O495, \".\")","v":"Row 489 divided by Row 495."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":463}]
[null,"Annual amount by which U.S. military expenditures would be reduced if no oil were used for U.S. highway transport, expressed in billions of 2004 dollars",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":464}]
[null,null,null,null,null,null,null,null,null,null,null,25,null,null,{"$f":"ROW()","v":465}]
[null,"Source: Mark A. Delucchi, James J. Murphy, \"US military expenditures to protect the use of Persian Gulf oil for motor vehicles,\" Energy Policy 36 (2008) 2253-2264. From the Abstract: Analyses of the full social cost of motor vehicle use in the US often estimate an ‘‘oil import premium’’ that includes the military cost of defending oil supplies from the Persian Gulf... In this paper, we [address] the question: ‘‘If the US highway transportation sector did not use oil, how much would the US federal government reduce its military commitment in the Persian Gulf?’’ We work towards our answer in five steps, accounting for interests not related to oil, the interests of other oil-consuming countries, the interests of producers apart from the interests of consumers, and the interests of non-highway users of oil. We estimate that were there no oil in the Persian Gulf, then US combined peacetime and wartime defense expenditures might be reduced in the long run by roughly $27-$73 billion per year (in 2004 dollars), of which roughly $6-$25 billion annually ... is attributable to motor-vehicle use.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":468}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":469}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,"Note: We have selected the upper end of Delucchi-Murphy's range, based on this passage later in their paper (p. 2262): ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473}]
[null,"\"Expenditures on the military are only a portion of the entire relevant military or security cost of using oil [which] is equal to the military control cost plus the dollar cost of whatever military or security problems remain in spite of, or even due to, the military expenditures. These residual costs include reduced flexibility in the conduct of US foreign policy, strains on international relations due to the activities of the US military and even due to competition for oil, anti-American sentiments due to the presence of the US military in the Middle East, political destabilization of the Middle East, and the nonfinancial human-suffering costs of war and political instability related to US demand for oil. Although to our knowledge nobody has ever quantified these costs, they are important. Indeed, one could argue that a primary motivation of many programs and policies aimed at reducing US dependence on foreign oil is not to reduce military expenditures related to defending the Persian Gulf, but rather to mitigate some of the political and human costs associated with US demand for Persian Gulf oil. If this is right, then the costs that we have not estimated may be large relative to the military costs we have estimated.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":475}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":477}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":480}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":481}]
[null,"Note that Roger Stern (\"United States Cost of Military Force Projection in the Persian Gulf, 1976–2007,\" Energy Policy 38 (2010) 2816-2825) estimates the cost in 2008 dollars of U.S. \"Persian Gulf force projection\" to have averaged $212.5 billion annually during 1976-2007, with a 2007 estimate of $500 billion. However, these figures include military force for purposes other than protecting U.S. transport fuels (i.e., other uses of oil, non-U.S. uses of oil, and non-oil objectives in the Gulf) and thus aren't fully comparable to the Delucchi-Murphy figure above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":483}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Inflation adjustment, 2004 to 2019",null,null,null,null,null,null,null,null,null,{"$f":"CPI_2019/188.9","v":1.3558980412916888},null,null,{"$f":"ROW()","v":487}]
[null,"Calculated as ratio of 2019 to 2004 Consumer Price Index.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Reduction in U.S. military expenditures (per above), expressed in billions of 2019 dollars",null,null,null,null,null,null,null,null,null,{"$f":"L465*L487","v":33.897451032292217},null,null,{"$f":"ROW()","v":489}]
[null,"U.S. gasoline consumption, gallons per year, 2007-2009, billions, average",null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(9290,8989,8986)*Constants!J16*Constants!J20/1000000","v":139.4195775},null,null,{"$f":"ROW()","v":490}]
[null,"Calculated as mean of those three years (from USEIA, Monthly Energy Review), x gallons/bbl x 365.25 days/year.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491}]
[null,"U.S. diesel fuel consumption, gallons per year, 2007-2009, billions, average",null,null,null,null,null,null,null,null,null,{"$f":"K494*L490","v":43.66291033099936},null,null,{"$f":"ROW()","v":492}]
[null,"Cannot be gleaned from MER since diesel and distillate are combined. Instead, we apply 2000 ratio of U.S. truck fuel to passenger vehicle fuel from Komanoff, Ending The Oil Age (2002), Table 1.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":493}]
[null,null,null,null,null,null,null,null,null,"Ratio = ",{"$f":"2460000/7855000","v":0.31317632081476765},null,null,null,{"$f":"ROW()","v":494}]
[null,"U.S. \"highway\" (motor fuel) consumption, gallons per year, 2007-2009, billions, average",null,null,null,null,null,null,null,null,null,{"$f":"L490+L492","v":183.08248783099936},null,null,{"$f":"ROW()","v":495}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496}]
[null,"Part 2: Estimate per-gallon reduction in water pollution damages attributable to the selected plan",null,null,null,null,null,null,null,null,null,{"$f":"L502/$L$495","v":6.1629171419426469E-2},"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":497}]
[null,"Annual costs in billions of dollars",null,null,null,null,null,null,null,"1991 $ (10^9)","inflation adjst","2019 $ (10^9)",null,null,{"$f":"ROW()","v":498}]
[null,"Health and environmental effects of leaking motor-fuel storage tanks",null,null,null,null,null,null,null,0.5,{"$f":"CPI_2019/136.2","v":1.8805370044052865},{"$f":"J499*K499","v":0.94026850220264324},{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":499}]
[null,"Urban runoff polluted by oil from motor vehicles",null,null,null,null,null,null,null,0.5,{"$f":"CPI_2019/136.2","v":1.8805370044052865},{"$f":"J500*K500","v":0.94026850220264324},null,null,{"$f":"ROW()","v":500}]
[null,"Environmental and economic impacts of large oil spills",null,null,null,null,null,null,null,{"$f":"0.5*10","v":5},{"$f":"CPI_2019/136.2","v":1.8805370044052865},{"$f":"J501*K501","v":9.4026850220264322},null,null,{"$f":"ROW()","v":501}]
[null,"TOTAL",null,null,null,null,null,null,null,{"$f":"SUM(J499:J501)","v":6},null,{"$f":"SUM(L499:L501)","v":11.283222026431719},null,null,{"$f":"ROW()","v":502}]
[null,"Source: Mark A. Delucchi, Environmental Externalities of Motor-Vehicle Use in the US, J Transport Economics and Policy, ISSN 0022 5258, Volume 34, Part 2, May 2000, pp 135-168, Table 6. Except that the third category has been multiplied by 10 in rough attempt to account for occasional but recurring spill disasters such as Exxon Valdez in Prince Edward Sound (1989) and Deepwater Horizon in the Gulf of Mexico (2010).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"Note: NY Times financial columnist Andrew Ross Sorkin wrote <http://nyti.ms/aXAduj> on June 8, 2010 that \"while conservative estimates put the bill [to British Petroleum for the Deepwater Horizon disaster] at $15 billion, something approaching $40 billion is not out of the question,\" based on an estimate by Credit Suisse that BP's cleanup cost could run as high as $23 billion, and possible additional claims of $14 billion by gulf fisherman and the tourist industry. Moreover, not all lost ecosystem services are necessarily included in these figures. Yet even doubling Sorkin's rough estimate to $80 billion equates to \"only\" $8 billion per year, or essentially the annual figure we have used here (in 2008$), if it is spread over a decade to allow for the fact that the BP spill is not an annually recurring event.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":507}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":508}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513}]
[null,"Part 3: Calculate change in annual petroleum consumption due to selected plan",null,null,null,null,null,null,null,"from gasoline","from diesel","from both","Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":514}]
[null,"Change in CO2 emissions due directly to cordon tolling, metric tons per year",null,null,null,null,null,null,null,{"$f":"Emissions!Z354","v":-641267.59706627659},{"$f":"Emissions!AB354","v":-163444.62263867474},{"$f":"J515+K515","v":-804712.21970495139},null,null,{"$f":"ROW()","v":515}]
[null,{"$f":"CONCATENATE(\"from 'Emissions' worksheet, Row \",Emissions!AG354,\".\")","v":"from 'Emissions' worksheet, Row 354."},null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":516}]
[null,"Adjustment factor to light-vehicle emissions component, to reflect non-toll reductions in CO2:",null,null,null,null,null,null,null,{"$f":"VMT!H21/(VMT!H16+VMT!H17)","v":1.2481861553648159},null,null,null,null,{"$f":"ROW()","v":517}]
[null,{"$f":"CONCATENATE(\"Is ratio of all light-vehicle VMT reduction (Row \",VMT!O21, \" in 'VMT' tab) to reductions due directly to cordon toll (Row \",VMT!O16, \" plus Row \",VMT!O17, \". Captures reduced auto use from transit 'attraction'. We apply only to gasoline, based on its rough 1-1 correspondence to passenger veh's.\")","v":"Is ratio of all light-vehicle VMT reduction (Row 21 in 'VMT' tab) to reductions due directly to cordon toll (Row 16 plus Row 17. Captures reduced auto use from transit 'attraction'. We apply only to gasoline, based on its rough 1-1 correspondence to passenger veh's."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,"Adjusted change in CO2 emissions, kg / yr (previous entries, times 1,000, times adj factor if applicable)",null,null,null,null,null,null,null,{"$f":"J515*1000*J517","v":-800421336.5421896},{"$f":"K515*1000","v":-163444622.63867474},{"$f":"J520+K520","v":-963865959.18086433},null,null,{"$f":"ROW()","v":520}]
[null,"CO2 emission factors for motor fuels, pounds per gallon",null,null,null,null,null,null,null,19.63,22.37,null,null,null,{"$f":"ROW()","v":521}]
[null,"Source is Komanoff Excel file, Carbon_Contents_7_Jan_09, which drew on USEPA Web sources that have been removed/replaced. New sources TK.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,"CO2 emission factors for motor fuels, grams per gallon (prev. entries x number of grams per pound)",null,null,null,null,null,null,null,{"$f":"J521*Constants!$J$13","v":8904.1679999999997},{"$f":"K521*Constants!$J$13","v":10147.032000000001},null,null,null,{"$f":"ROW()","v":523}]
[null,"CO2 emission factors for motor fuels, expressed as kg per gallon (previous entries, divided by 1,000)",null,null,null,null,null,null,null,{"$f":"J523/1000","v":8.9041680000000003},{"$f":"K523/1000","v":10.147032000000001},null,null,null,{"$f":"ROW()","v":524}]
[null,"Implied change in gallons of petroleum fuel consumed per year, due to pricing (rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J520/J524, -3)","v":-89893000},{"$f":"ROUND(K520/K524, -3)","v":-16108000},{"$f":"J525+K525","v":-106001000},null,null,{"$f":"ROW()","v":525}]
[null,{"$f":"CONCATENATE(\"Row \",O520, \" divided by Row \",O524, \".\")","v":"Row 520 divided by Row 524."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":527}]
[null,"Part 4: Multiply per-gallon damage costs and change in gallons consumed due to selected plan",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,"Estimated annual reduction change in societal costs of oil provision, due to congestion pricing ($ millions)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,"Military / national-security ($ millions)",null,null,null,null,null,null,null,null,null,{"$f":"-$L$462*$L$525/1000000","v":19.625927905189936},null,null,{"$f":"ROW()","v":530}]
[null,"Ecological ($ millions)",null,null,null,null,null,null,null,null,null,{"$f":"-$L$497*$L$525/1000000","v":6.5327537996306253},null,null,{"$f":"ROW()","v":531}]
[null,"Total ($ millions)",null,null,null,null,null,null,null,null,null,{"$f":"SUM(L530:L531)","v":26.158681704820562},null,null,{"$f":"ROW()","v":532}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533}]
[null,null,null,null,null,null,null,null,"In CBD","Outside CBD","Combined",null,null,null,{"$f":"ROW()","v":534}]
[null,"G. Reduced Health/Environmental Damages from Air Pollution ",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":535}]
[null,"(Should be expanded to include damage to visibility and biota, although these will almost certainly add only a few percent to the figures below. )",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536}]
[null,"This item captures the health and environmental benefits of reducing emissions of \"conventional\" air pollutants due to reduced vehicle miles driven and improved traffic flow. Method is to reference metric tons of pollutant reductions from Emissions worksheet, convert to (short) tons, and multiply by best available estimates of per-ton health and environmental costs associated w/ each pollutant.",null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":537}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":538}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,"Changes in \"conventional\" air emissions, metric tons (per year)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":542}]
[null,null,"VOC (Volatile Organic Compounds -- a/k/a Total Organic Compounds)",null,null,null,null,null,{"$f":"'Air Pollution'!E89","v":-39.082105965991587},{"$f":"'Air Pollution'!I89","v":-322.11898389533098},null,null,null,null,{"$f":"ROW()","v":543}]
[null,null,"CO (carbon monoxide)",null,null,null,null,null,{"$f":"'Air Pollution'!E90","v":-237.53130651279571},{"$f":"'Air Pollution'!I90","v":-2174.6491781442746},null,null,null,null,{"$f":"ROW()","v":544}]
[null,null,"NOx (Oxides of Nitrogen)",null,null,null,null,null,{"$f":"'Air Pollution'!E91","v":-82.596764753599018},{"$f":"'Air Pollution'!I91","v":-789.75153516764942},null,null,null,null,{"$f":"ROW()","v":545}]
[null,null,"SO2 (Sulfur dioxide)",null,null,null,null,null,{"$f":"'Air Pollution'!E92","v":-0.99404320283051362},{"$f":"'Air Pollution'!I92","v":-8.5688849292951907},null,null,null,null,{"$f":"ROW()","v":546}]
[null,null,"PM10 (Particulate Matter, diameter btw 2.5 and 10 microns)",null,null,null,null,null,{"$f":"'Air Pollution'!E93","v":-0.14409502498933291},{"$f":"'Air Pollution'!I93","v":-1.1671706887785902},null,null,null,null,{"$f":"ROW()","v":547}]
[null,null,"PM2.5 (a/k/a fine particulates -- 2.5 microns or less in diameter)",null,null,null,null,null,{"$f":"'Air Pollution'!E94","v":-2.3271568498202888},{"$f":"'Air Pollution'!I94","v":-19.110135615302305},null,null,null,null,{"$f":"ROW()","v":548}]
[null,{"$f":"CONCATENATE(\"Copied from 'Air Pollution' worksheet, Rows \",'Air Pollution'!O89, \"-\",'Air Pollution'!O94, \", though derived in 'Emissions' worksheet, Rows \",Emissions!AG391, \" to \",Emissions!AG396, \".\")","v":"Copied from 'Air Pollution' worksheet, Rows 89-94, though derived in 'Emissions' worksheet, Rows 391 to 396."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":549}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,"Per-kg health damages per pollutant emitted (or avoided) (2019$)",null,null,null,null,null,null,"In CBD","Outside CBD",null,null,null,null,{"$f":"ROW()","v":551}]
[null,null,"VOC",null,null,null,null,null,{"$f":"'Air Pollution'!D89","v":197.1602241038176},{"$f":"'Air Pollution'!H89","v":20.988209308045139},null,null,null,null,{"$f":"ROW()","v":552}]
[null,null,"CO ",null,null,null,null,null,{"$f":"'Air Pollution'!D90","v":9.7383690830900509},{"$f":"'Air Pollution'!H90","v":1.0366742559963038},null,null,null,null,{"$f":"ROW()","v":553}]
[null,null,"NOx",null,null,null,null,null,{"$f":"'Air Pollution'!D91","v":155.27194227753083},{"$f":"'Air Pollution'!H91","v":16.529094745152598},null,null,null,null,{"$f":"ROW()","v":554}]
[null,null,"SO2",null,null,null,null,null,{"$f":"'Air Pollution'!D92","v":11806.112858042874},{"$f":"'Air Pollution'!H92","v":1256.7908608611128},null,null,null,null,{"$f":"ROW()","v":555}]
[null,null,"PM10 ",null,null,null,null,null,{"$f":"'Air Pollution'!D93","v":7241.9843157146424},{"$f":"'Air Pollution'!H93","v":770.92772294559325},null,null,null,null,{"$f":"ROW()","v":556}]
[null,null,"PM2.5",null,null,null,null,null,{"$f":"'Air Pollution'!D94","v":29588.055977791071},{"$f":"'Air Pollution'!H94","v":3149.7241124712782},null,null,null,null,{"$f":"ROW()","v":557}]
[null,{"$f":"CONCATENATE(\"Copied from 'Air Pollution' worksheet, Rows \",'Air Pollution'!O89, \"-\",'Air Pollution'!O94, \" and derived in that worksheet.\")","v":"Copied from 'Air Pollution' worksheet, Rows 89-94 and derived in that worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":558}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Air Pollution damage costs eliminated by pricing (in thousands of 2019 $)",null,null,null,null,null,null,"In CBD","Outside CBD","Combined",null,null,null,{"$f":"ROW()","v":560}]
[null,null,"VOC",null,null,null,null,null,{"$f":"ROUND(I543*I552,-2)","v":-7700},-6800,{"$f":"I561+J561","v":-14500},"thousand",null,null,{"$f":"ROW()","v":561}]
[null,null,"CO ",null,null,null,null,null,-2300,-2300,-4600,"thousand",null,null,{"$f":"ROW()","v":562}]
[null,null,"NOx",null,null,null,null,null,-12800,-13100,-25900,"thousand",null,null,{"$f":"ROW()","v":563}]
[null,null,"SO2",null,null,null,null,null,-11700,-10800,-22500,"thousand",null,null,{"$f":"ROW()","v":564}]
[null,null,"PM10 ",null,null,null,null,null,-1000,-900,-1900,"thousand",null,null,{"$f":"ROW()","v":565}]
[null,null,"PM2.5",null,null,null,null,null,-68900,-60200,-129100,"thousand",null,null,{"$f":"ROW()","v":566}]
[null,null,"TOTAL",null,null,null,null,null,{"$f":"SUM(I561:I566)","v":-104400},{"$f":"SUM(J561:J566)","v":-94100},-198500,"thousand",null,null,{"$f":"ROW()","v":567}]
[null,{"$f":"CONCATENATE(\"Each entry is multiplicative product of respective entries in the arrays in Rows \",O543, \"-\",O548, \" and \",O552, \"-\",O557, \".\")","v":"Each entry is multiplicative product of respective entries in the arrays in Rows 543-548 and 552-557."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":568}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":569}]
[null,"H. Reduced Noise Costs",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":570}]
[null,"Method: Prorate national estimates of noise costs of motor vehicle use, and apply to the expected changes in VMT in NYC, with suitable scaling for different population exposures. National noise costs are from Delucchi analysis referenced in Part C, as detailed in hardcopy document, \"The External Damage Cost of Direct Noise from Motor Vehicles,\" Report #14 in the Series: the \"Annualized Social Cost of Motor Vehicle Use in the United States, based on 1990-1991 Data,\" by Mark A. Delucchi and Shi-Ling Hsu, Dec. 1996, UCD-ITS-RR-96-3 (14).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":571}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":572}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,"Cost of Motor-Vehicle Noise, U.S. urbanized areas (1991$)",null,null,null,null,null,null,40.768000000000001,"billion",null,null,null,null,{"$f":"ROW()","v":577}]
[null,"Table 14-7C, \"Results of the High-Cost Analysis,\" which we believe applies to NYC, notwithstanding the authors' inclusion of a low-cost case that totals only $83 million (1991$), and their asserted belief that \"the cost is not likely to exceed $5 billion.\" (pp. 1-2) In informal polls taken by Komanoff in the early-mid 1990s, New Yorkers consistently ranked motor vehicle noise as more damaging to them than motor vehicle air pollution.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":579}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,"Adjustments to above cost to reflect 2019 instead of 1991 conditions",null,null,null,null,null,null,"(none)",null,null,null,null,null,{"$f":"ROW()","v":582}]
[null,"Inflation adjustment, 1991 to 2019",null,null,null,null,null,null,{"$f":"CPI_2019/136.2","v":1.8805370044052865},null,null,null,null,null,{"$f":"ROW()","v":583}]
[null,"Calculated as ratio of 2019 to 1991 Consumer Price Index, All Urban Consumers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":584}]
[null,"Cost of Motor-Vehicle Noise, U.S. urbanized areas (2019$)",null,null,null,null,null,null,{"$f":"I577*I583","v":76.665732595594719},"billion",null,null,null,null,{"$f":"ROW()","v":585}]
[null,"Note that Delucchi and Hsu employ the U.S. Census Bureau definition of \"the term 'urbanized area' to represent a geographic area consisting of one or more central cities and a penumbra of suburbs and satellite cities.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587}]
[null,"NYC population, 2006",null,null,null,null,null,null,8035586,null,null,null,null,null,{"$f":"ROW()","v":588}]
[null,"U.S. population, 2006",null,null,null,null,null,null,299398484,null,null,null,null,null,{"$f":"ROW()","v":589}]
[null,"Accessed 22-Oct-07 from http://factfinder.census.gov/home/saff/main.html?_lang=en (Search: \"New York City\" or \"United States,\" respectively)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590}]
[null,"Estimated percentage of U.S. population residing in urbanized areas",null,null,null,null,null,null,0.75,null,null,null,null,null,{"$f":"ROW()","v":591}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592}]
[null,"U.S. population residing in urbanized areas, 2006",null,null,null,null,null,null,{"$f":"I591*I589","v":224548863},null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,"NYC population as percent of U.S. urbanized population",null,null,null,null,null,null,{"$f":"I588/I593","v":3.5785467326102646E-2},null,null,null,null,null,{"$f":"ROW()","v":594}]
[null,"Est. noise costs from m.v.'s to number of U.S. residents as live in NYC (2019$)",null,null,null,null,null,null,{"$f":"I594*I585","v":2.7435190688313775},"billion",null,null,null,null,{"$f":"ROW()","v":595}]
[null,"Adjustment factor for NYC conditions vs. typical U.S. urbanized conditions",null,null,null,null,null,null,1,null,null,null,null,null,{"$f":"ROW()","v":596}]
[null,"Conservatism, intended to offset non-conservatism of taking Delucchi's high-cost est. for national damage cost, above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":597}]
[null,"Estimated noise costs from motor vehicles in NYC (2015$)",null,null,null,null,null,null,{"$f":"I595*I596","v":2.7435190688313775},"billion",null,null,null,null,{"$f":"ROW()","v":598}]
[null,"% of NYC m.v. noise costs assoc'd w/ autos (as opposed to trucks + buses)",null,null,null,null,null,null,0.75,null,null,null,null,null,{"$f":"ROW()","v":599}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":600}]
[null,"Estimated noise costs from automobiles in NYC (2015$)",null,null,null,null,null,null,{"$f":"I598*I599","v":2.0576393016235333},"billion",null,null,null,null,{"$f":"ROW()","v":601}]
[null,"Anticipated change in NYC automobile VMT, %",null,null,null,null,null,null,{"$f":"VMT!I21","v":-3.2299626339053977E-2},null,null,null,null,null,{"$f":"ROW()","v":602}]
[null,"Anticipated change in NYC motor vehicle noise costs, %",null,null,null,null,null,null,{"$f":"I602","v":-3.2299626339053977E-2},null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,"Anticipated change in NYC motor vehicle noise costs, 2015$",null,null,null,null,null,null,{"$f":"ROUND(I603*I598*1000,-1)","v":-90},"million",null,null,null,null,{"$f":"ROW()","v":604}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":605}]
[null,"I. Longevity Benefits from Physical Activity of Increased Cycling and Walking",null,null,null,null,null,null,null,null,null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":606}]
[null,"Method: \"Import\" from Bicycles worksheet tab the estimated increase in bicycling in NYC that would be associated with reduced VMT, through suitable prorating of urban cycling levels in Europe. (We assume that eliminating motor vehicle use in NYC would raise cycling levels here to those now seen in Europe, and we then prorate the reduction in VMT to estimate the increase in cycling.) We then translate the increase in cycling to reduced mortality, which we monetize according to the value of a saved life. The resulting benefit is then doubled to allow for comparable longevity benefits due to increased walking (with implicit assumption that lesser per-walker health gain will be offset by greater absolute growth in number of walkers).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":607}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":608}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":609}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":612}]
[null,"Estimated percent of NYC vehicle miles that are made by bicycle",null,null,null,null,null,null,{"$f":"Bicycles!L199","v":2.8221034890809338E-2},null,null,null,null,null,{"$f":"ROW()","v":613}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Bicycles' tab, and copied from Row \",Bicycles!O199, \" there. Here we use miles as a proxy for trips.\")","v":"Calculated in 'Bicycles' tab, and copied from Row 199 there. Here we use miles as a proxy for trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":614}]
[null,"Percentage point increase in cycling's share of NYC VMT, from drop in NYC VMT",null,null,null,null,null,null,{"$f":"Bicycles!L222","v":8.2554261097167424E-3},null,null,null,null,null,{"$f":"ROW()","v":615}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Bicycles' tab, and copied from Row \",Bicycles!O222, \" there.\")","v":"Calculated in 'Bicycles' tab, and copied from Row 222 there."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616}]
[null,"Anticipated change in number of NY'ers of cycling age who cycle on an avg day",null,null,null,null,null,null,{"$f":"Bicycles!L224*Bicycles!L149","v":8.3253208073582018E-3},null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,{"$f":"CONCATENATE(\"Product of two Rows in 'Bicycles' tab: \",Bicycles!O224,\" and \",Bicycles!O149, \".\")","v":"Product of two Rows in 'Bicycles' tab: 224 and 149."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":618}]
[null,"Deaths among NYC residents, 2010",null,null,null,null,null,null,52575,"These mortality data are from NYC Dept. of Health, \"Summary of Vital Statistics, 2010,\" available at http://www.nyc.gov/html/doh/downloads/pdf/vs/vs-population-and-mortality-report.pdf, Table M2, \"Deaths and Crude Death Rates per 1,000 Population by Age, Ethnic Group, and Sex, New York City, 2010.\"",null,null,null,null,{"$f":"ROW()","v":619}]
[null," Deaths, ages 75 and over",null,null,null,null,null,null,{"$f":"5502+6746+15980","v":28228},null,null,null,null,null,{"$f":"ROW()","v":620}]
[null," Deaths, ages 14 and under",null,null,null,null,null,null,{"$f":"694+51+78","v":823},null,null,null,null,null,{"$f":"ROW()","v":621}]
[null,"Deaths among NYC adult residents \"of bicycling age\" (15-74), 2010",null,null,null,null,null,null,{"$f":"I619-I620-I621","v":23524},null,null,null,null,null,{"$f":"ROW()","v":622}]
[null,"% change in mortality among adults with moderately high physical activity vis-à-vis those with little or no physical activity",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":623}]
[null,null,null,null,null,null,null,null,-0.28000000000000003,null,null,null,null,null,{"$f":"ROW()","v":624}]
[null,"Lars B. Andersen et al., \"All-Cause Mortality Associated With Physical Activity During Leisure Time, Work, Sports, and Cycling to Work,\" Arch. Intern. Med., Vol. 160, June 12, 2000, pp. 1621-1628. Participants in the study at Copenhagen Univ. Hosp. were 13,375 women and 17,265 men, ages 20-93. Results section states: \"Bicycling to work decreased risk of mortality approximately 40% after multivariate adjustment, including leisure time physical activity.\" However, the paper's \"Bicycling to Work\" section states: \"After adjustment for age, sex, and educational level [and] leisure time physical activity, BMI, blood lipid levels, smoking, and blood pressure, the relative risk [in those who cycled to work] was 0.72.\" (95% conf. interval, range 0.57 - 0.91) The authors also cite a paper in Med. Sci. Sports Exerc. (1994;26:967-972) that found a 39% higher mortality rate in those who didn't cycle to work vs. those who did; a 1.39 risk ratio for not cycling equates to 0.72 for cycling. See http://archinte.ama-assn.org/cgi/content/abstract/160/11/1621. Thus, the 40% risk reduction stated in the paper's Results section appears erroneous; we use 28% (the complement of 0.72) instead.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":625}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":627}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":628}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":629}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":630}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":631}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":632}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"Anticipated change in mortality rate among New Yorkers of cycling age",null,null,null,null,null,null,{"$f":"I617*I624","v":-2.3310898260602967E-3},null,null,null,null,null,{"$f":"ROW()","v":634}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O624,\" and \",O617, \".\")","v":"Product of Rows 624 and 617."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":635}]
[null,"Anticipated change in deaths of New Yorkers due to increased bicycling",null,null,null,null,null,null,{"$f":"I634*I622","v":-54.836557068242421},null,null,null,null,null,{"$f":"ROW()","v":636}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O622,\" and \",O634, \".\")","v":"Product of Rows 622 and 634."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":637}]
[null,"Value of a statistical life in the U.S., 2000 basis",null,null,null,null,null,null,3.2,"million",null,null,"Scenario being run now (to which the $ figures apply:)",null,{"$f":"ROW()","v":638}]
[null,"Delucchi, \"The cost of motor-vehicle accidents, Report #19 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, Based on 1990-1991 Data. UCD-ITS-RR-96-3 (19). This volume is one of 20 in the exhaustive 15-year study of the \"Annualized Social Cost of Motor Vehicle Use in the U.S., 1990-1991,\" UCD-ITS-RR-96-3 (1) rev. 1 (June 1998, minor revisions Oct. 2004), by U-C Davis researcher Mark A. Delucchi, Ph.D. On p. 72, after a lengthy synthesis, Delucchi presents \"a value of $2.4 million to $4.0 million [per accidental fatality] in the year 2000.\" The mean value is $3.2 million.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Results!$K$27","v":"Fix NYC higher-range plan"},null,{"$f":"ROW()","v":640}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":641}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":642}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":643}]
[null,"Inflation adjustment, 2000 to 2019",null,null,null,null,null,null,{"$f":"CPI_2019/CPI_2000","v":1.4873933797909409},null,null,null,null,null,{"$f":"ROW()","v":644}]
[null,"Calculated as ratio of 2019 to 2000 Consumer Price Index, All Urban Consumers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":645}]
[null,"Value of a statistical life in the U.S., 2019",null,null,null,null,null,null,{"$f":"ROUND(I638*I644,1)","v":4.8},"million",null,null,null,null,{"$f":"ROW()","v":646}]
[null,"Value of NYers' increased longevity from greater cycling due to less VMT",null,null,null,null,null,null,{"$f":"-ROUND(I646*I636,0)","v":263},"million",null,null,null,null,{"$f":"ROW()","v":647}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O636,\" and \",O646, \".\")","v":"Product of Rows 636 and 646."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,"Assumed ratio of longevity value from increased walking to increased cycling",null,null,null,null,null,null,1,null,null,null,null,null,{"$f":"ROW()","v":649}]
[null,"Komanoff assumption. Intended to reflect expectation that walking will increase more than cycling in absolute amounts, while each mile walked adds somewhat less to health than a mile cycled. It would be highly desirable to derive an independent estimate of increased walking and the associated longevity benefits, but that was not possible within the scope of this study, thus necessitating the gross approximation employed here. Note that the exercise value of both cycling and walking transcends improved longevity and includes greater all-around wellness. As the editor of Nature Neuroscience, Sandra Aamodt, wrote in The New York Times on Nov. 8, 2007, “exercise improves what scientists call ‘executive function,’ the set of abilities that allows you to select behavior that's appropriate to the situation.” (Exercise on the Brain, http://www.nytimes.com/2007/11/08/opinion/08aamodt.html)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":651}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":652}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":653}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":656}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":657}]
[null,"Value of NYers' increased longevity from greater walking",null,null,null,null,null,null,{"$f":"I647*I649","v":263},"million",null,null,null,null,{"$f":"ROW()","v":658}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O647,\" and \",O649, \".\")","v":"Product of Rows 647 and 649."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":659}]
[null,"Value of NYers' increased longevity from greater cycling and walking",null,null,null,null,null,null,{"$f":"I647+I658","v":526},"million",null,null,null,null,{"$f":"ROW()","v":660}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O647,\" and \",O658, \".\")","v":"Sum of Rows 647 and 658."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":661}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":662}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":663}]
[null,"THIS SECTION/ENTRY IS NOT INCLUDED IN THE COST-BENEFIT TOTALS",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":664}]
[null,"Reduced Driver Insurance Costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":665}]
[null,"This entry is intended to capture the savings in insurance premiums for vehicles registered in NYC, owing to the anticipated reduced per-vehicle crash frequency from reduced VMT.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":666}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":667}]
[null,"Number of motor vehicles registered in NYC",null,null,null,null,null,null,2000000,null,null,null,null,null,{"$f":"ROW()","v":668}]
[null,"Komanoff placeholder estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":669}]
[null,"Annual per-vehicle insurance cost",null,null,null,null,null,null,1083,null,null,null,null,null,{"$f":"ROW()","v":670}]
[null,"NY State average 2006 premium, from table, Top Ten Most Expensive and Least Expensive States for Average Expenditures for Automobile Insurance, 2005, in http://www.iii.org/media/facts/statsbyissue/auto/.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":671}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":672}]
[null,"Adjustments to above cost to reflect NYC (instead of NYS) and 2008 (vs. 2006)",null,null,null,null,null,null,"(none)",null,null,null,null,null,{"$f":"ROW()","v":673}]
[null,"Anticipated change in NYC VMT from proposed pricing measures.",null,null,null,null,null,null,{"$f":"VMT!I21","v":-3.2299626339053977E-2},null,null,null,null,null,{"$f":"ROW()","v":674}]
[null,"Assumed % of VMT reduction attributable to vehicles registered in NYC",null,null,null,null,null,null,{"$f":"SUM(Incidence!G366:K366)","v":0.69900000000000007},null,null,null,null,null,{"$f":"ROW()","v":675}]
[null,"Sum of five borough shares in Incidence worksheet (Part C).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":676}]
[null,"Assumed % of NYC VMT accounted for by NYC-registered vehicles",null,null,null,null,null,null,{"$f":"1.1*I675","v":0.76890000000000014},null,null,null,null,null,{"$f":"ROW()","v":677}]
[null,"Komanoff placeholder estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":678}]
[null,"Anticipated per-vehicle change in VMT, for NYC-registered vehicles",null,null,null,null,null,null,{"$f":"IF(I677=0,0,I674*I675/I677)","v":-2.936329667186725E-2},null,null,null,null,null,{"$f":"ROW()","v":679}]
[null,{"$f":"CONCATENATE(\"VMT change in Row \",O674, \" times NYC vehicles' share of that change in Row \",O675, \", divided by NYC vehicles' share of all VMT in Row \",O677, \".\")","v":"VMT change in Row 674 times NYC vehicles' share of that change in Row 675, divided by NYC vehicles' share of all VMT in Row 677."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":680}]
[null,"Share of per-vehicle VMT change assumed to be reflected in insurance rates",null,null,null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":681}]
[null,"Komanoff estimate reflecting both \"stickiness\" in rates and non-VMT-related damage costs.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":682}]
[null,"Anticipated per-vehicle change in insurance premiums, %",null,null,null,null,null,null,{"$f":"I679*I681","v":-1.4681648335933625E-2},null,null,null,null,null,{"$f":"ROW()","v":683}]
[null,{"$f":"CONCATENATE(\"Product of NYC-registered vehicles' VMT change in Row \",O679, \" multiplied by insurance-rate factor in Row \",O681, \".\")","v":"Product of NYC-registered vehicles' VMT change in Row 679 multiplied by insurance-rate factor in Row 681."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":684}]
[null,"Anticipated per-vehicle change in insurance premiums",null,null,null,null,null,null,{"$f":"I683*I670","v":-15.900225147816116},null,null,null,null,null,{"$f":"ROW()","v":685}]
[null,{"$f":"CONCATENATE(\"Product of insurance reduction percent in Row \",O683, \" and annual insurance cost in Row \",O670, \".\")","v":"Product of insurance reduction percent in Row 683 and annual insurance cost in Row 670."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":686}]
[null,"Estimated change in total auto insurance costs for NYC-registered vehicles",null,null,null,null,null,null,{"$f":"I685*I668/1000000","v":-31.800450295632231},"million",null,null,null,null,{"$f":"ROW()","v":687}]
[null,{"$f":"CONCATENATE(\"Per-vehicle insurance premium change in Row \",O685, \" multiplied by number of registered vehicles in Row \",O668, \".\")","v":"Per-vehicle insurance premium change in Row 685 multiplied by number of registered vehicles in Row 668."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":688}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":689}]

{"sheet":"Revenues","index":6,"n_rows":432,"n_cols":23,"rows_kept":432,"cut":false,"hidden":false,"merged":[[357,12,358,12],[357,7,358,7],[357,8,358,8],[343,11,344,11],[343,7,344,7],[357,11,358,11],[150,4,150,9],[239,5,239,6],[151,9,152,9],[239,7,239,8],[239,9,239,10],[163,5,165,5],[190,1,191,9],[179,9,179,11],[175,1,177,9],[151,6,152,6],[151,7,152,7],[151,8,152,8],[179,12,179,14],[172,14,177,14],[343,12,344,12],[309,12,310,12],[309,11,310,11],[246,5,246,6],[172,12,177,12],[192,11,199,15],[190,11,191,15],[237,11,247,11],[291,11,292,11],[266,9,267,11],[242,1,243,10],[255,5,255,6],[246,9,246,10],[255,7,255,8],[194,1,195,8],[179,6,179,8],[246,7,246,8],[272,8,272,9],[202,1,204,8],[206,5,206,8],[241,5,241,6],[241,7,241,8],[241,9,241,10],[251,1,252,11],[291,12,292,12],[390,4,390,6],[390,7,390,9],[291,7,292,7],[270,1,271,9],[291,9,292,9],[309,7,310,7],[309,9,310,9],[343,8,344,8],[341,1,342,9],[289,1,290,9],[272,6,272,7],[150,22,151,22],[150,21,151,21],[150,20,151,20],[94,11,95,11],[94,12,95,12],[94,15,95,15],[53,1,55,6],[57,8,57,10],[67,7,67,14],[65,1,66,5],[82,1,83,5],[150,19,151,19],[130,4,132,5],[65,7,65,10],[117,4,117,6],[117,7,117,9],[117,10,117,12],[81,7,81,9],[82,9,83,9],[130,1,132,3],[134,1,136,3],[65,11,65,14],[94,16,95,16],[75,1,76,6],[5,1,7,10],[13,1,14,10],[94,13,95,13],[94,14,95,14],[82,8,83,8],[82,7,83,7],[85,1,86,5],[105,13,106,13],[105,14,106,14],[16,7,17,7],[16,8,17,8],[16,9,17,9],[86,7,86,9],[18,1,19,5],[80,7,80,9],[94,5,95,5],[94,6,95,6],[94,7,95,7],[94,8,95,8],[94,9,95,9],[94,10,95,10],[69,7,69,14],[76,7,76,14],[64,7,64,15],[157,7,159,7],[157,5,158,6],[167,1,170,8],[96,1,97,4],[105,12,106,12],[105,11,106,11],[100,15,101,15],[100,11,101,11],[100,12,101,12],[100,13,101,13],[100,14,101,14],[142,1,144,10],[163,6,165,6],[130,7,132,8],[134,4,135,5],[134,7,135,8],[112,4,113,12],[115,4,115,12],[105,15,106,15],[100,9,101,9],[100,10,101,10],[105,10,106,10]]}
[null,"Revenues",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,{"$f":"CONCATENATE(\"See new section starting in Row \",R91, \", 'NY State Assembly Democratic Caucus Proposed Surcharges on For-Hire Vehicles (FHV's)' keyed to 3/14/2018 Streetsblog post.\")","v":"See new section starting in Row 91, 'NY State Assembly Democratic Caucus Proposed Surcharges on For-Hire Vehicles (FHV's)' keyed to 3/14/2018 Streetsblog post."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"This worksheet collects estimates of new revenue streams from the traffic pricing plan selected in Results tab, based on policies and parameters inputted in Policy Levers tab: cordon tolling, taxi & Uber surcharges, changes (if any) in transit fares and possible \"windfalls\" from greater transit use. Calculations of these impacts are performed in other worksheets. They are simply collected and combined here.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Reductions in revenues from lowering existing tolls on NYC bridges owned and operated by the MTA (if that policy is chosen) are calculated in MTA Crossings.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"The worksheet has seven parts, not including summary following directly below. Click on links one screen below to access any of them.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null," ",null,null,{"$f":"ROW()","v":13}]
[null,{"$f":"CONCATENATE(\"Piechart below at right includes new revenue streams only. Revenue reductions from lowering existing tolls on MTA bridges are shown in MTA Crossings tab (Rows \",'MTA Crossings'!AL160, \"-\",'MTA Crossings'!AL280, \") and in graph near top of 'Results' tab. Reductions from discounting some commuter rail fares are reflected in 'Results' tab (Rows \",Results!N61, \"-\",Results!N62, \").\")","v":"Piechart below at right includes new revenue streams only. Revenue reductions from lowering existing tolls on MTA bridges are shown in MTA Crossings tab (Rows 160-280) and in graph near top of 'Results' tab. Reductions from discounting some commuter rail fares are reflected in 'Results' tab (Rows 61-62)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"New Revenues: Summary (figures do not include toll admin or possible MTA bridge discounts)",null,null,null,null,null,"Amount in $ Millions","% of\nCategory Total","% of\nGrand Total",null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Cordon Toll Revenue (includes applicable revenue from inbound QBB Upper Roadway)",null,null,null,null,"Chart Labels",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,{"$f":"Results!K38","v":940},null,{"$f":"H20/$H$37","v":0.46419753086419752},null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"$$ from crossing into Manhattan CBD on E River bridge",null,null,null,"Toll E River bridges",null,{"$f":"0.5*ROUND(2*I21*$H$20,-1)","v":440},{"$f":"IF('Policy Levers'!K46=\"CORDON\",Approaches!N232,1)","v":0.47048895424551734},{"$f":"H21/$H$37","v":0.21728395061728395},null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"$$ from crossing 60th Streeet in Manhattan",null,null,null,"Toll 60th St",null,{"$f":"0.5*ROUND(2*I22*$H$20,-1)","v":500},{"$f":"IF('Policy Levers'!K46=\"CORDON\",Approaches!I232,0)","v":0.5295110457544826},{"$f":"H22/$H$37","v":0.24691358024691357},null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"$$ from additional Hudson River tunnel tolls",null,null,null,"Surchrg Holland/Lincoln Tunnels",null,{"$f":"H20-SUM(H21:H22)","v":0},{"$f":"1-SUM(I21:I22)","v":0},{"$f":"H23/$H$37","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"MTA windfalls",null,null,null,null,null,{"$f":"H26+H27","v":310},null,{"$f":"H25/$H$37","v":0.15308641975308643},null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"from increased use of bridges whose tolls are reduced",null,null,null,"MTA bridges (rise in volume)",null,{"$f":"Results!K43","v":0},{"$f":"H26/H$25","v":0},{"$f":"H26/$H$37","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"farebox gain: trips priced off roads + attr'd by imprvd service",null,null,null,"MTA farebox (higher ridership)",null,{"$f":"Results!K54","v":310},{"$f":"H27/H$25","v":1},{"$f":"H27/$H$37","v":0.15308641975308643},null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"FHV (for-hire vehicle) Surcharges",null,null,null,null,null,{"$f":"SUM(H30:H32)","v":775},null,{"$f":"H29/$H$37","v":0.38271604938271603},null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"New Surcharge(s) on Medallion Taxis",null,null,null,"New taxi surcharge",null,{"$f":"Results!K46","v":385},{"$f":"H30/H$29","v":0.49677419354838709},{"$f":"H30/$H$37","v":0.19012345679012346},null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Surcharge(s) on Ubers + other TNC's",null,null,null,"UberLyft surcharge",null,{"$f":"Results!K49","v":390},{"$f":"H31/H$29","v":0.50322580645161286},{"$f":"H31/$H$37","v":0.19259259259259259},null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Change in \"Ravitch\" Taxi Surcharge",null,null,null,"∆ in Ravitch taxi surcharge $$",null,{"$f":"Results!K47","v":0},{"$f":"H32/H$29","v":0},{"$f":"H32/$H$37","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Miscellany",null,null,null,null,null,{"$f":"H35+H36","v":0},null,{"$f":"H34/$H$37","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Tax $ from zeroing Manhattanites' parking break",null,null,null,"Eliminate Manhattan residents' parking tax exemption",null,{"$f":"Parking!I484/1000000*IF('Policy Levers'!K119=\"YES\",1,0)","v":0},"NA",{"$f":"H35/$H$37","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Grand Total",null,null,null,null,null,{"$f":"H20+H25+H29+H34","v":2025},{"$f":"H37/$H$37","v":1},{"$f":"H37/$H$37","v":1},null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,"MTA Annual Revenues (this box is not related to any pricing plan; it simply collects current revenue figures)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Links to Speed Navigation Around This Worksheet",null,null,null,null,null,null,"Subways",null,null,{"$f":"Subways!N12","v":3433.5540000000001},2016,{"$f":"CONCATENATE(\"'Subways' tab, Cell L\",Subways!O27, \".\")","v":"'Subways' tab, Cell L27."},null,null,null,{"$f":"ROW(R40)","v":40}]
[null,"A. Traffic-Pricing Revenues",null,null,null,null,null,null,"Buses",null,null,{"$f":"Buses!L41","v":952.36300000000006},2016,{"$f":"CONCATENATE(\"'Buses' tab, Cell L\",Buses!O41, \".\")","v":"'Buses' tab, Cell L41."},null,null,null,{"$f":"ROW()","v":41}]
[null,"B. Surcharges on For-Hire Vehicles (FHV's)",null,null,null,null,null,null,"LIRR",null,null,{"$f":"F242/1000000","v":730.06899999999996},2016,{"$f":"CONCATENATE(\"'Revenues' tab, Cell F\",$R$242, \".\")","v":"'Revenues' tab, Cell F242."},null,null,null,{"$f":"ROW()","v":42}]
[null,"C. Transit Revenues",null,null,null,null,null,null,"Metro-North",null,null,{"$f":"H242/1000000","v":736.98500000000001},2016,{"$f":"CONCATENATE(\"'Revenues' tab, Cell H\",$R$242, \".\")","v":"'Revenues' tab, Cell H242."},null,null,null,{"$f":"ROW()","v":43}]
[null,"D. MTA Bridges & Tunnels",null,null,null,null,null,null,"TBTA",null,null,{"$f":"'MTA Crossings'!R157","v":2015.2053076191457},"2017, proj.",{"$f":"CONCATENATE(\"'MTA Crossings' tab, Cell R\",'MTA Crossings'!AL157, \".\")","v":"'MTA Crossings' tab, Cell R157."},null,null,null,{"$f":"ROW()","v":44}]
[null,"E. Port Authority Crossings",null,null,null,null,null,null,"MTA Bus Co. (express buses)",null,null,{"$f":"I194/1000","v":215.63},2014,{"$f":"CONCATENATE(\"'Revenues' tab, Cell I\",$R$194, \".\")","v":"'Revenues' tab, Cell I194."},null,null,null,{"$f":"ROW()","v":45}]
[null,"F. MTA Bus Company",null,null,null,null,null,null,"T O T A L",null,null,{"$f":"SUM(L40:L45)","v":8083.8063076191465},null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"G. Commuter Railroads (LIRR & Metro-North)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"A. Cordon Toll Revenues",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Cordon Charge to Drive into Manhattan CBD\n",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Figures include any applicable cordon tolls charged to FHVs (yellow cabs, Uber, et al). FHV surcharges (if any) are in yellow and purple areas at right. They are based on 2015 traffic levels + 2017 baseline tolls, gas and parking costs, etc.",null,null,null,null,null,null,"Weekdays","Weekends","Total",null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!N1087","v":723.85869668986334},{"$f":"'Motor Vs Weekends'!N1087","v":215.83335137275913},{"$f":"I56+J56","v":939.69204806262246},null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"Figures are derived in Motor Vs and Motor Vs Weekends worksheets, Rows \",'Motor Vs'!O1087, \".\")","v":"Figures are derived in Motor Vs and Motor Vs Weekends worksheets, Rows 1087."},null,null,null,null,null,null,"Figures are in millions of dollars",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"B. Surcharges on For-Hire Vehicles (FHV's)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"New Surcharges on Medallion taxi fares and on UberLyft and other app-based FHV fares (based on 2017 taxi ridership & fare structure)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Plan being modeled that gives rise to figures in table is \",Results!K27, \".\")","v":"Plan being modeled that gives rise to figures in table is Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Figures include any applicable cordon tolls charged to FHVs (yellow cabs, Uber, et al). These would be included in cordon tolls above.",null,null,null,null,null,"Yellow cabs",null,null,null,"UberLyft and other app-based FHV's",null,null,null,"FHV Totals",null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,"Weekday peak","Weekday off-pk","Weekends","Total","Weekday peak","Weekday off-pk","Weekends","Total","Total",null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,"Annual surcharge revenues directly below are in millions of dollars.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Annual surcharge $$, millions (apply only to trips in CBD or somewhat larger \"taxi zone\")",null,null,null,null,null,{"$f":"Taxis!J177*weekday_per_yr/1000000","v":233.5},{"$f":"Taxis!K177*weekday_per_yr/1000000","v":85.275000000000006},{"$f":"Taxis!M177*wkend_per_yr/1000000","v":68.597499999999997},{"$f":"SUM(H69:J69)","v":387.37249999999995},{"$f":"UberLyft!J322*weekday_per_yr/1000000","v":212.45},{"$f":"UberLyft!K322*weekday_per_yr/1000000","v":90.55},{"$f":"UberLyft!M322*wkend_per_yr/1000000","v":87.055000000000007},{"$f":"SUM(L69:N69)","v":390.05500000000001},{"$f":"K69+O69","v":777.42750000000001},null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Figures are calculated from 'Taxi' tab Row \",Taxis!O177, \" and 'UberLyft' Row \",UberLyft!O296, \".\")","v":"Figures are calculated from 'Taxi' tab Row 177 and 'UberLyft' Row 296."},null,null,null,null,null,"Next 3 rows are annual trips in millions: baseline, then \"with pricing,\" then trips that are surcharged.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Annual trips, baseline, millions (all trips, not just trips in CBD or taxi zone)",null,null,null,null,null,{"$f":"Taxis!J69*weekday_per_yr/1000000","v":52.36626013510584},{"$f":"Taxis!K69*weekday_per_yr/1000000","v":23.870275018071464},{"$f":"Taxis!M69*wkend_per_yr/1000000","v":32.320920101541994},{"$f":"SUM(H71:J71)","v":108.55745525471929},{"$f":"UberLyft!J216*weekday_per_yr/1000000","v":92.75},{"$f":"UberLyft!K216*weekday_per_yr/1000000","v":52.420913937877636},{"$f":"UberLyft!M216*wkend_per_yr/1000000","v":78.182054931665007},{"$f":"SUM(L71:N71)","v":223.35296886954262},{"$f":"K71+O71","v":331.91042412426191},null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Figures are copied from 'Taxi' tab Row \",Taxis!O69, \" and 'UberLyft' Row \",UberLyft!O216, \".\")","v":"Figures are copied from 'Taxi' tab Row 69 and 'UberLyft' Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Annual trips after pricing has been implemented (millions)",null,null,null,null,null,{"$f":"Taxis!J159*weekday_per_yr/1000000","v":53},{"$f":"Taxis!K159*weekday_per_yr/1000000","v":22.25},{"$f":"Taxis!M159*wkend_per_yr/1000000","v":30.9695},{"$f":"SUM(H73:J73)","v":106.2195},{"$f":"UberLyft!J304*weekday_per_yr/1000000","v":95.9},{"$f":"UberLyft!K304*weekday_per_yr/1000000","v":51.625},{"$f":"UberLyft!M304*wkend_per_yr/1000000","v":79.557000000000002},{"$f":"SUM(L73:N73)","v":227.08199999999999},{"$f":"K73+O73","v":333.30149999999998},null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"Figures are from 'Taxi' tab Row \",Taxis!O159, \" & 'UberLyft' Row \",UberLyft!O316, \" and denote projected trips with pricing imposed.\")","v":"Figures are from 'Taxi' tab Row 159 & 'UberLyft' Row 316 and denote projected trips with pricing imposed."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Annual trips w/ pricing that transect taxi zone (millions)",null,null,null,null,null,{"$f":"Taxis!$K$261*Revenues!H73","v":50.111499999999999},{"$f":"Taxis!$K$261*Revenues!I73","v":21.037375000000001},{"$f":"Taxis!$K$261*Revenues!J73","v":29.28166225},{"$f":"SUM(H75:J75)","v":100.43053725},{"$f":"UberLyft!$K$400*L73","v":51.445411412208415},{"$f":"UberLyft!$K$400*M73","v":27.694153953652339},{"$f":"UberLyft!$K$400*N73","v":42.678233532023619},{"$f":"SUM(L75:N75)","v":121.81779889788439},{"$f":"K75+O75","v":222.2483361478844},null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"Figures multiply % of yellow and UberLyft trips that touch current/old taxi zone (to W 110 St & E 96 St) from 'Taxi' tab Row \",Taxis!O261, \" and 'UberLyft' Row \",UberLyft!O319, \" by annual trips w/ baseline in Row \",R73, \".\")","v":"Figures multiply % of yellow and UberLyft trips that touch current/old taxi zone (to W 110 St & E 96 St) from 'Taxi' tab Row 261 and 'UberLyft' Row 319 by annual trips w/ baseline in Row 73."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,"Concluding row shows per-trip surcharge, averaged over trips being surcharged (rather than all trips).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Average surcharge (averaged over surcharged trips rather than over all trips)",null,null,null,null,null,{"$f":"H69/H75","v":4.6596090717699532},4.0535000207963208,2.3426777965789833,3.8571186673603095,4.1296200024086867,3.2696431222105686,2.03979857635575,3.2019540947950431,3.4980126892050092,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"\"Ravitch\" surcharge",null,null,null,null,null,"Existing Surcharges on Medallion Fares",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,"(\"Ravitch\" Surcharge, enacted 2009)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"There's also the \"Ravitch\" surcharge ─ the 50 cent a ride fee that, since 2009, the MTA has collected on all yellow taxi trips.",null,null,null,null,null,"Trips/yr, millions","Surcharge per trip","$$/yr,  millions",null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,{"$f":"K71","v":108.55745525471929},{"$f":"'Taxi Farecalcs'!$G$24","v":0.5},{"$f":"H85*I85","v":54.278727627359643},null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Box at right shows change in annual revenue tied directly to projected change in number of yellow taxi trips.",null,null,null,null,null,{"$f":"K73","v":106.2195},{"$f":"'Taxi Farecalcs'!$G$24","v":0.5},{"$f":"H86*I86","v":53.109749999999998},null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,"Change from Baseline (millions)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,{"$f":"H86-H85","v":-2.3379552547192901},{"$f":"'Taxi Farecalcs'!$G$24","v":0.5},{"$f":"J86-J85","v":-1.1689776273596451},null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"B1. NY State Assembly Democratic Caucus Proposed Surcharges on For-Hire Vehicles (FHV's)",null,null,null,null,null,null,null,"This section was added on 14-March-2018 to support Komanoff's Streetsblog post on same day.",null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Revenue components",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,"Total trips, weekdays","Total trips, wknds/holidays"," Weekday trips per year"," Wknd/holiday trips per year","% wkday \"relate to\" taxi zone","% wkday don't relate taxi zone","% wknd relate to taxi zone","% wknd don't relate taxi zone","# wkday relate to taxi zone","# wkday don't relate taxi zone","# wknd relate to taxi zone","# wknd don't relate taxi zone",{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Ubers + Lyfts + other app-based vehicles\n+ black cars + limo's",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,{"$f":"UberLyft!J62","v":489713},{"$f":"UberLyft!K62","v":518180},{"$f":"F98*weekday_per_yr","v":122428250},{"$f":"G98*wkend_per_yr","v":59590700},{"$f":"UberLyft!K400","v":0.53644850273418576},{"$f":"1-J98","v":0.46355149726581424},{"$f":"J98*2/3","v":0.35763233515612386},{"$f":"1-L98","v":0.64236766484387609},{"$f":"ROUND($H$98*J98,-3)","v":65676000},{"$f":"ROUND($H$98*K98,-3)","v":56752000},{"$f":"ROUND($I$98*L98,-3)","v":21312000},{"$f":"ROUND($I$98*M98,-3)","v":38279000},{"$f":"ROW()","v":98}]
[null,{"$f":"CONCATENATE(\"Weekday & weekend daily volumes are from 'UberLyft' worksheet, Row \",UberLyft!O61,\". Source is Todd Pendleton, HNTB. Conversion to annual data multiplies those figures by # days from 'Constants' worksheet.\")","v":"Weekday & weekend daily volumes are from 'UberLyft' worksheet, Row 61. Source is Todd Pendleton, HNTB. Conversion to annual data multiplies those figures by # days from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,"# trips relate to taxi zone","# trips don't relate taxi zone","$ / trip that relate to zone","$ / trip that don't relate to zone","$ / year trips relate to zone","$ / year trips don't relate","$ / year all Uber/Lyft/etc.",null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,{"$f":"N98+P98","v":86988000},{"$f":"O98+Q98","v":95031000},2.75,1,{"$f":"ROUND(J104*L104,-3)","v":239217000},{"$f":"ROUND(K104*M104,-3)","v":95031000},{"$f":"ROUND(N104+O104,-6)","v":334000000},null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,"Total trips\n365-d average","Total trips per year","% that \"relate to\" taxi zone","# trips relate to taxi zone","$ / trip that relate to zone","$ / year trips relate to zone",null,{"$f":"ROW()","v":106}]
[null,"Yellow cabs",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Daily average is from 'Taxis' worksheet, Row \",Taxis!O59,\"Percentage that relate to taxi zone is from same tab, Row \",Taxis!O261,\".\")","v":"Daily average is from 'Taxis' worksheet, Row 59Percentage that relate to taxi zone is from same tab, Row 261."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"Taxis!N63","v":298008.83333333331},{"$f":"K109*365","v":108773224.16666666},{"$f":"Taxis!K261","v":0.94550000000000001},{"$f":"ROUND(M109*L109,-3)","v":102845000},0.5,{"$f":"ROUND(O109*N109,-6)","v":51000000},null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"All FHV's","……………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………….",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"P104+P109","v":385000000},null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,"All figures in box are annual, in millions of dollars, and employ 2016 ridership and revenue.\n(MTA near-term transit projections have been quite accurate in recent years.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"C. NYC Transit Revenues",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,"NYC Transit Revenues",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,"Subways",null,null,"Bus",null,null,"Subways + Bus",null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,"Weekdays","Weekends","Total","Weekdays","Weekends","Total","Weekdays","Weekends","Total",null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Rev. w/ Current Pricing",null,null,{"$f":"Subways!N412/1000","v":2726.8287859838724},{"$f":"Subways!N443/1000","v":617.44122120410759},{"$f":"E122+F122","v":3344.2700071879799},{"$f":"Buses!I155","v":763.50310792609832},{"$f":"Buses!J155","v":188.85989207390179},{"$f":"H122+I122","v":952.36300000000006},{"$f":"E122+H122","v":3490.3318939099709},{"$f":"F122+I122","v":806.30111327800932},{"$f":"G122+J122","v":4296.6330071879802},null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Revenue with New Pricing Plan",null,null,{"$f":"Subways!N424/1000","v":2987.7314336269355},{"$f":"Subways!N497/1000","v":657.50569854430501},{"$f":"E124+F124","v":3645.2371321712408},{"$f":"Buses!I178","v":773.36853683929485},{"$f":"Buses!J178","v":191.35982403453863},{"$f":"H124+I124","v":964.72836087383348},{"$f":"E124+H124","v":3761.0999704662304},{"$f":"F124+I124","v":848.86552257884364},{"$f":"G124+J124","v":4609.9654930450743},null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Revenue Increase (decrease)",null,null,{"$f":"E124-E122","v":260.90264764306312},40.064477340197413,300.96712498326087,9.8654289131965243,2.4999319606368431,12.365360873833424,270.76807655625953,42.564409300834313,313.33248585709407,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,{"$f":"CONCATENATE(\"Subways revenue data are shown and/or derived in Rows \",Subways!O412, \" through \",Subways!O497, \" of 'Subways' worksheet.\")","v":"Subways revenue data are shown and/or derived in Rows 412 through 497 of 'Subways' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,{"$f":"CONCATENATE(\"Bus revenues are from Rows \",Buses!O155, \" and \",Buses!O178, \" of 'Buses' worksheet.\")","v":"Bus revenues are from Rows 155 and 178 of 'Buses' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Predicted % change in usage\nresulting from new pricing plan",null,null,{"$f":"CONCATENATE(\"From 'Results' tab, Row \",Results!N143, \", which in turn is from 'Subways' tab, Row \",Subways!O512, \".\")","v":"From 'Results' tab, Row 143, which in turn is from 'Subways' tab, Row 512."},null,{"$f":"Results!I140","v":9.2319220637832267E-2},{"$f":"CONCATENATE(\"From 'Results' worksheet, Row \",Results!N149, \", which in turn is from 'Buses', Row \",Buses!O136, \".\")","v":"From 'Results' worksheet, Row 149, which in turn is from 'Buses', Row 136."},null,{"$f":"Results!I149","v":1.2983873663543515E-2},null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Revenue attributable to\nusage change ($ millions)",null,null,{"$f":"CONCATENATE(\"Derived algebraically from Rows \",R135, \" and \",R141, \".\")","v":"Derived algebraically from Rows 135 and 141."},null,{"$f":"G124*(1-1/(1+G131))","v":308.08342902327615},{"$f":"CONCATENATE(\"Derived algebraically from Rows \",R135, \" and \",R141, \".\")","v":"Derived algebraically from Rows 135 and 141."},null,{"$f":"J124*(1-1/(1+J131))","v":12.365360873833273},null,null,{"$f":"G135+J135","v":320.44878989710941},null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,"million",null,null,"million",null,null,"million",null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"D. MTA Bridges & Tunnels",null,null,"This section has been off-loaded to a stand-alone tab, MTA Crossings. Clicking link immediately to right will take you there.",null,null,null,null,null,null,null,"MTA Crossings",null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"E. Port Authority Crossings",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"This section, and the BTA overall, reflects PA Hudson River crossings toll rates instituted Dec. 2, 2012. A new set of toll hikes, effective Dec. 1, 2013, is shown at right but has not been incorporated into the model -- a matter of little consequence, insofar as the BTA is intended to model toll plans that leave the PA tolls unaffected. Note that the Complete \"2012-2015\" toll schedule is available at <http://www.panynj.gov/bridges-tunnels/tolls.html>. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Following are excerpts.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"PEAK HOURS: Weekdays: 6-10 a.m., 4-8 p.m., Sat. & Sun.: 11 a.m.-9 p.m. OFF-PEAK HOURS: All Other Times.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"OVERNIGHT HOURS for Trucks: Sundays-Thursdays, 10 p.m. until 6 a.m. the following morning",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,"From https://www.panynj.gov/bridges-tunnels/tolls.html (inputted 12-Sept-2017; reconfirmed 31-Jan-2019)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},null,"In effect during 2018 (accessed 19-Feb-2018)","Dec 1, 2013 -\nDec 7, 2014","Dec 2, 2012 -\nNov 30, 2013","Sept 18, 2011 - Dec 1, 2012"]
[null,null,null,null,null,null,"E-ZPass\nOff-Peak ","E-ZPass Peak ","E-ZP Trucks Overnight","Cash Toll\nAll Hours",null,null,null,null,null,null,null,{"$f":"ROW()","v":152},"E-Zpass (peak)"]
[null,"Vehicle Type ",null,null,"Class ","# Axles ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153},"Car",12.5,11,10.25,9.5]
[null,"Cars",null,null,1,2,10.5,12.5,"NA",15,null,null,null,null,null,null,null,{"$f":"ROW()","v":154},"Motorcycle",11.5,10,9.25,8.5]
[null,"Trucks",null,null,3,3,51,54,46.5,63,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},"Truck (2 axles)",36,28,24,20]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156},"Truck (3 axles)",54,42,36,30]
[null,"Volumes and Revenue",null,null,"Allocable %",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157},"Truck (4 axles)",72,56,48,40]
[null,null,null,null,null,"2018 Toll Volumes (Eastbound Traffic)",null,"Projected 2019 Gross Operating Revenue",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158},"Truck (5 axles)",90,70,60,50]
[]
[null,null,null,null,null,"Annual","Weekday"]
[null,"George Washington Bridge",null,null,0.06,null,null,805418000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161},"Truck (6 axles)",108,84,72,60]
[null,"Holland Tunnel",null,null,null,null,null,193031000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162},"E-Zpass (off-peak)"]
[null,"Lincoln Tunnel",null,null,null,null,null,266635000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163},"Car",10.5,9,8.25,7.5]
[null,"Bayonne Bridge",null,null,null,null,null,28085000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164},"Motorcycle",9.5,8,7.25,6.5]
[null,"Goethals Bridge",null,null,null,null,null,212065000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},"Truck (2 axles)",34,26,22,18]
[null,"Outerbridge Crossing",null,null,null,null,null,182328000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166},"Truck (3 axles)",51,39,33,27]
[null,"P O R T    T O T A L, ",null,null,null,{"$f":"SUM(F161:F166)","v":0},null,{"$f":"SUM(H161:H166)","v":1687562000},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167},"Truck (4 axles)",68,52,44,36]
[null,"Source: Annual volumes were last taken from PA 2013 Annual Report, Comprehensive Annual Financial Report for the Year Ended December 31, 2013, but were removed as obsolete. Weekday volumes divided annuals by annual/weekday ratio in Constants worksheet. Annual revenues are from Appendix 2B, \"Information on Port Authority Operations,\" from a PA Excel spreadsheet, https://corpinfo.panynj.gov/files/uploads/documents/financial-information/budget-capital-plan/2019BB_ALLSCHEDULES_xPqongT.xlsx, downloaded 31-Jan-2019. GWB revenue figure is for \"G.W. Bridge & Bus Station.\"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168},"Truck (5 axles)",85,65,55,45]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169},"Truck (6 axles)",102,78,66,54]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170},"Cash"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171},"Car",15,13,13,12]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172},"Motorcycle",15,13,12,11]
[null,null,null,null,null,null,null,null,null,null,null,null,"This figure is used to estimate PANYNJ baseline toll revenues from trips into the CBD.",null,"This figure is used to est. PA's  revenue loss from fewer trips to CBD with cordon toll.",null,null,{"$f":"ROW()","v":173},"Truck (2 axles)",42,34,30,26]
[null,"PANYNJ Estimated Lost Revenues from Implementing Congestion Pricing (uses 2019 projected revenue)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174},"Truck (3 axles)",63,51,45,39]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175},"Truck (4 axles)",84,68,60,52]
[null,"To the extent that the cordon toll raises existing trans-Hudson tolls, the Port Authority stands to lose revenues from its current Holland and Lincoln Tunnel tolls, as drivers cut back on CBD trips due to the higher toll. The same will apply to the share of GWB crossings that would have eventually entered the CBD.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176},"Truck (5 axles)",105,85,75,65]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177},"Truck (6 axles)",126,102,90,78]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178},"2018 truck rates are from http://www.panynj.gov/truckers-resources/index.html."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179},"2018 auto and m/c rates are from http://www.panynj.gov/bridges-tunnels/tolls.html"]
[null,null,null,null,null,null,"Weekdays (revenue in $000)",null,null,"Weekends (revenue in $000)",null,null,"Weighted Average ($000)",null,null,"Total",null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,"Lincoln","Holland","GW Bridge","Lincoln","Holland","GW Bridge","Lincoln","Holland","GW Bridge","(rounded)",null,{"$f":"ROW()","v":181}]
[null,"Survival rate",null,null,null,null,{"$f":"Bridges!E105","v":1},{"$f":"Bridges!F105","v":1},{"$f":"1-(1-Bridges!K122)*I186","v":0.98579948761548475},{"$f":"Bridges!E138","v":1},{"$f":"Bridges!F138","v":1},{"$f":"1-(1-Bridges!K155)*L186","v":0.99313013383211068},{"$f":"(G182*weekday_per_yr+J182*wkend_per_yr)/365","v":1},{"$f":"(H182*weekday_per_yr+K182*wkend_per_yr)/365","v":1},{"$f":"(I182*weekday_per_yr+L182*wkend_per_yr)/365","v":0.98810914327277777},null,null,{"$f":"ROW()","v":182}]
[null,"Citation TK",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Change in revenue",null,null,null,null,{"$f":"(G182-1)*H163","v":0},{"$f":"(H182-1)*H162","v":0},null,null,null,null,{"$f":"(M182-1)*H163","v":0},{"$f":"(N182-1)*H162","v":0},{"$f":"(O182-1)*H161","v":-9577110.0435258765},{"$f":"ROUND(SUM(M184:O184),-3)","v":-9577000},null,{"$f":"ROW()","v":184}]
[null,"Citation TK",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Share of GWB toll traffic that continues into Manhattan CBD",null,null,null,null,null,null,{"$f":"Approaches!I106","v":0.06},null,null,{"$f":"I186","v":0.06},null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Komanoff estimates.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"F. MTA Bus Co.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"This section, in formation in Sept-2014, allows for the option of reducing express bus fares to promote \"fare equity\" for commuters and other travelers who rely on MTA Bus Co. express buses (or who are deterred by budgetary considerations from making full use of that service).",null,null,null,null,null,null,null,null,null,"(Text from 2008 that may or may not be obsolete as of 2015)",null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,"MTA Bus Co. (MTABC) was created as a subsidiary of the MTA in Sept. 2004, under an agreement with the City of New York, in order to maintain service by seven private bus companies. Under the agreement, NYC pays MTABC the difference between the cost of operation of the bus routes and all revenues and subsidies received by MTABC. Thus, the costs of MTABC operations are 100% reimbursable by the City. The transition of service began on Jan. 3, 2005 and was completed on Feb. 20, 2006. Upon completion, MTABC was operating over 1,250 buses serving approximately 350,000 riders daily. MTABC operates 46 local routes in the Bronx, Brooklyn and Queens, and 35 premium-fare express routes between those boroughs and Manhattan.",null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"MTA Bus Co. Farebox Revenue, 2017, thousands (projected)",null,null,null,null,null,"This figure isn't used; included for info purposes only.",215630,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"Table, \"MTA Bus Company, February Financial Plan 2015-2018, Accrual Statement of Operations by Category, p. VI-181. From MTA 2015 Adopted Budget February Financial Plan 2015-2018.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,"Ditto.",2014,2015,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"MTA Bus Co. Ridership (of which some are on xpress buses)",null,null,null,null,null,125025000,125812000,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Same souce as revenue, directly above, but p. VI-187. 2014 figure is final estimate, 2015 is adopted budget.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Here we derive annual ridership figures on MTA express buses.",null,null,null,null,null,null,null,null,null," Source: MTA 2007 Budget (available at http://mta.info/mta/budget/nov2007/part7.pdf).",null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Data in this section are from MTA New York City Transit \"Bus Ridership Report, April 2014,\" provided by Regional Plan Ass'n senior transportation fellow Jeff Zupan. Figures are 12-month total or averages for May 2013 - April 2014 and, thus, represent a recent 12-month period.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Express Bus Ridership in NYC (all boroughs)",null,null,null,"12-Month Rolling Averages, May 2013 - April 2014",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,"Weekdays","Saturdays","Sundays","Total",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"NYC Transit",null,null,null,42237,7612,4483,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"Source is MTA NYCT report referenced directly above",null,null,null," p 13/35"," p 19/35"," p 25/35",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"MTA Bus Company",null,null,null,31799,8117,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Same as above; fig's exclude \"adjustments\" that might add ~1%",null,null,null," p 31/35"," p 33/35"," p 35/35",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Two express bus entitites combined",null,null,null,{"$f":"F209+F211","v":74036},{"$f":"G209+G211","v":15729},{"$f":"H209+H211","v":8983},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",R210, \" and \",R212, \".\")","v":"Sum of Rows 210 and 212."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Days per year",null,null,null,{"$f":"weekday_per_yr","v":250},{"$f":"Constants!J27","v":52},{"$f":"Constants!J28","v":63},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"From Constants tab",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"Rides per year",null,null,null,{"$f":"F213*F215","v":18509000},{"$f":"G213*G215","v":817908},{"$f":"H213*H215","v":565929},{"$f":"SUM(F217:H217)","v":19892837},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",R213, \" and \",R215, \".\")","v":"Product of Rows 213 and 215."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Proposed Discount per trip",null,null,null,null,null,null,{"$f":"'Policy Levers'!K252","v":1},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,{"$f":"CONCATENATE(\"From 'Policy Levers' tab, Cell K\",'Policy Levers'!O252, \". We apply it to all trips, not just single purchases.\")","v":"From 'Policy Levers' tab, Cell K252. We apply it to all trips, not just single purchases."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Annual cost of proposed discount, if no change in ridership",null,null,null,null,null,null,{"$f":"ROUND(I217*I220,-5)","v":19900000},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",R217, \" and \",R220, \". Rounded.\")","v":"Product of Rows 217 and 220. Rounded."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Estimated change in ridership (%) on account of discount",null,null,null,null,null,null,0.1,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Komanoff est. Should be parametrized, but rough # ok given context.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,"Proposed Discount, cost per year",null,null,null,null,null,null,{"$f":"ROUND(I222*(1+I224),-5)","v":21900000},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,{"$f":"CONCATENATE(\"Product of Row \",R222, \" and one plus Row \",R224, \".\")","v":"Product of Row 222 and one plus Row 224."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Annual number of rides eligible for discount, if such is provided by user-selected plan:",null,null,null,null,null,null,35000000,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Source TK",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,"Per-ride discount",null,null,null,null,null,null,{"$f":"'Policy Levers'!K252","v":1},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,{"$f":"CONCATENATE(\"From 'Policy Levers' tab, Cell K\",'Policy Levers'!O252, \".\")","v":"From 'Policy Levers' tab, Cell K252."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"Total annual discount for express bus riders, for user-selected plan",null,null,null,null,null,null,{"$f":"I231*I229","v":35000000},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",R231, \" and \",R229, \".\")","v":"Product of Rows 231 and 229."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"G. Commuter Railroads",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R237)","v":237}]
[null,"1. Discount Option #1: Reduce Fares for All Trips, Across the Board",null,null,null,null,null,null,null,null,null,"Array at left is shown w/ dotted background because it's not likely to be implemented and isn't part of any plans currently discussed. -- C.K., May, 2016.",null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,"Long Island Rail Road",null,"Metro-N Commuter RR",null,"Combined",null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"2017 Projected Farebox Revenue (November 2017 forecast)",null,null,null,730069000,null,736985000,null,{"$f":"SUM(F242:I242)","v":1467054000},null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"Source: MTA 2018 Budget and 2018-2021 Financial Plan Adoption Materials, Pages 39 (LIRR) & 52 (M-North) of 124. Available at http://web.mta.info/mta/budget/pdf/MTA_2018_Budget_2018-2021_Financial_Plan_Adoption_Materials.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R243)","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,244]
[null,"Assumed Fare Reduction, %",null,null,null,{"$f":"'Policy Levers'!$K$243","v":0},null,{"$f":"'Policy Levers'!$K$243","v":0},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Is figure inputted in 'Policy Levers' worksheet, Row \",'Policy Levers'!O243, \".\")","v":"Is figure inputted in 'Policy Levers' worksheet, Row 243."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Lost Revenue, $",null,null,null,{"$f":"F245*F242","v":0},null,{"$f":"H245*H242","v":0},null,{"$f":"ROUND(SUM(F247:I247),-6)","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Simple product of Rows \",R242, \" and \",R245, \". Price-elasticity is ignored, for simplicity (and conservatism, if discount is applied).\")","v":"Simple product of Rows 242 and 245. Price-elasticity is ignored, for simplicity (and conservatism, if discount is applied)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"2. Discount Option #2: Extend railroads' \"City Ticket\" discount (for in-City Rides) to cover all 7 days, not just weekends",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R250)","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"City Ticket is an MTA discount program that offers discounts on LIRR and Metro-North weekend travel. Here we use fare and boarding data to estimate the additional cost of either or both (i) strengthening the discounting, i.e., lowering off-peak fares even further, and ii (discounting on-peak travel).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,252]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,253]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,254]
[null,{"$f":"CONCATENATE(\"Summary of results (which are derived in Rows \",R265, \"-\",R386, \"). Figures are rounded.\")","v":"Summary of results (which are derived in Rows 265-386). Figures are rounded."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,255]
[null,null,null,null,null,"Long Island Rail Road",null,"Metro-N Commuter Railroad",null,"LIRR total","Metro-N total","Both RR's",null,null,null,null,null,256]
[null,null,null,null,null,"Zone 1","Zone 3","Zone 1","Zone 2",null,null,null,null,null,null,null,null,257]
[null,"Current Cost (Revenue Loss) from City Ticket (weekends only)",null,null,null,{"$f":"ROUND(L308,-4)","v":380000},{"$f":"ROUND(L334,-4)","v":4650000},{"$f":"ROUND(L356,-4)","v":20000},{"$f":"ROUND(L380,-4)","v":1030000},{"$f":"F258+G258","v":5030000},{"$f":"H258+I258","v":1050000},{"$f":"J258+K258","v":6080000},null,null,null,null,null,258]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",R308,\"\")","v":"Row 308"},{"$f":"CONCATENATE(\"Row \",R334,\"\")","v":"Row 334"},{"$f":"CONCATENATE(\"Row \",R356,\"\")","v":"Row 356"},{"$f":"CONCATENATE(\"Row \",R380,\"\")","v":"Row 380"},"Cols. F + G","Cols. H + I",null,null,null,null,null,null,259]
[null,"New Cost (Revenue Loss) from applying City Ticket 365 days",null,null,null,{"$f":"ROUND(K308,-4)","v":0},{"$f":"ROUND(K334,-4)","v":0},{"$f":"ROUND(K356,-4)","v":0},{"$f":"ROUND(K380,-4)","v":0},{"$f":"F260+G260","v":0},{"$f":"H260+I260","v":0},{"$f":"J260+K260","v":0},null,null,null,null,null,260]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",R308,\"\")","v":"Row 308"},{"$f":"CONCATENATE(\"Row \",R334,\"\")","v":"Row 334"},{"$f":"CONCATENATE(\"Row \",R356,\"\")","v":"Row 356"},{"$f":"CONCATENATE(\"Row \",R380,\"\")","v":"Row 380"},"Cols. F + G","Cols. H + I",null,null,null,null,null,null,261]
[null,"Net Cost (Revenue Loss) from expanding City Ticket 365 days",null,null,null,{"$f":"ROUND(F260-F258,-5)","v":-400000},-4700000,0,-1000000,-5000000,-1100000,{"$f":"J262+K262","v":-6100000},null,null,null,null,null,262]
[null,null,null,null,null,{"$f":"CONCATENATE(,$R260, \" less \",$R258, \"\")","v":"260 less 258"},"260 less 258","260 less 258","260 less 258","260 less 258","260 less 258",null,null,null,null,null,null,263]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,264]
[null,"City Ticket Fares",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,265]
[null,"Current (2015) \"City Ticket\" fare for intra-city train trips -- applies only on weekends (not holidays):",null,null,null,null,null,null,4.25,null,null,null,null,null,null,null,null,266]
[null,"Prospective fare for off-peak intra-city train trips, under pricing plan pre-selected by the user:",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K246=\"NONE\",\"No Change\",(IF('Policy Levers'!K246=\"Subway Fare\",Subway_Base_Fare,('Policy Levers'!K246))))","v":"No Change"},"Do not change these values here. Change in 'Policy Levers' tab instead.",null,null,null,null,null,null,null,267]
[null,"Prospective fare for on-peak intra-city train trips, under pricing plan pre-selected by the user:",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K249=\"NONE\",\"No Change\",(IF('Policy Levers'!K249=\"Subway Fare\",Subway_Base_Fare,('Policy Levers'!K249))))","v":"No Change"},null,null,null,null,null,null,null,null,268]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,269]
[null,"Current (2014) Fares for one Intra-City Train Trip",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,270]
[null,"Sources: \"LIRR Stations and Fare Zones,\" Effective March 1, 2013. Filename: LIRRFares03-13.pdf; \"Ticket fares NY State - Metro North, Effective March 1, 2013.\" Available at: http://bit.ly/ih9hpG. (on March 6, 2015, source became MTA schedule of proposed fares as of March 22, 2015)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,271]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,272]
[null,null,null,null,null,null,"Long Island Rail Road",null,"Metro-N Commuter RR",null,null,null,null,null,null,null,null,273]
[null,null,null,null,null,null,"Zone 1","Zone 3","Zone 1","Zone 2",null,null,null,null,null,null,null,274]
[null,"Peak (there are no bulk discounts; per-trip price doesn't vary w/ volume)",null,null,null,null,8.25,10,7.75,8.75,null,null,null,null,null,null,null,275]
[null,"Off-Peak Average (reflects our assumption of split betw single & 10-trip)",null,null,null,null,{"$f":"G280*G278+(1-G280)*G279","v":5.55},{"$f":"H280*H278+(1-H280)*H279","v":6.7125000000000004},{"$f":"I280*I278+(1-I280)*I279","v":5.3250000000000002},{"$f":"J280*J278+(1-J280)*J279","v":6.0125000000000002},null,null,null,null,null,null,null,276]
[null,{"$f":"CONCATENATE(\"Calculated as wghtd avg of Rows \",R278,\" and \",R279,\" per splits in Row \",R280, \".\")","v":"Calculated as wghtd avg of Rows 278 and 279 per splits in Row 280."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,277]
[null,"Off-Peak (single)",null,null,null,null,6,7.25,5.75,6.5,null,null,null,null,null,null,null,278]
[null,"Off-Peak (10-trip purchase)",null,null,null,null,5.0999999999999996,6.1749999999999998,4.9000000000000004,5.5250000000000004,null,null,null,null,null,null,null,279]
[null,"% of off-peak trips that are purchased singly (our assumption)",null,null,null,null,0.5,0.5,0.5,0.5,null,null,null,null,null,null,null,280]
[null,"Other fare data not used to estimate cost ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,281]
[null,"Weekly Unlimited",null,null,null,null,59,69.25,55.75,63.5,null,null,null,null,null,null,null,282]
[null,"Weekly Unlimited, per ride",null,null,null,null,{"$f":"G282/$P428","v":5.9},{"$f":"H282/$P428","v":6.9249999999999998},{"$f":"I282/$P428","v":5.5750000000000002},{"$f":"J282/$P428","v":6.35},null,null,null,null,null,null,null,283]
[null,{"$f":"CONCATENATE(\"Assumes \",P428, \" rides per week.\")","v":"Assumes 10 rides per week."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,284]
[null,"Monthly Unlimited",null,null,null,null,184,218,174,201,null,null,null,null,null,null,null,285]
[null,"Monthly Unlimited, per ride",null,null,null,null,{"$f":"G285/$P429","v":4.3809523809523814},{"$f":"H285/$P429","v":5.1904761904761907},{"$f":"I285/$P429","v":4.1428571428571432},{"$f":"J285/$P429","v":4.7857142857142856},null,null,null,null,null,null,null,286]
[null,{"$f":"CONCATENATE(\"Assumes \",P425, \" rides per weekday, \",P427, \" weekdays per month.\")","v":"Assumes 2 rides per weekday, 21 weekdays per month."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,287]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,288]
[null,"New York City LIRR Stations Westbound Daily Boardings",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R289)","v":289}]
[null,"Source: MTA Long Island Rail Road Passenger Counts: 2006. Formerly available at: http://bit.ly/fS5zmc, but link broken when checked on 14 July 2014. We are forced to continue using these data, though our percentages likely retain reasonable validity.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,290]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,291]
[null,null,null,null,null,null,null,"Mid-day\n(Off-Peak)",null,"Weekends + Holidays",null,"Current City Tkt program","Net Change in Discount",null,null,null,null,{"$f":"ROW()","v":292}]
[null,null,null,null,null,null,"AM Peak",null,"PM Off-peak",null,"Total",null,null,null,null,null,null,{"$f":"ROW(R293)","v":293}]
[null,"Zone 1",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,294]
[null,"East New York",null,null,null,null,10,10,3,27,null,{"$f":"J295","v":27},null,null,null,null,null,295]
[null,"Flatbush Avenue",null,null,null,null,0,0,0,0,null,0,null,null,null,null,null,296]
[null,"Forest Hills",null,null,null,null,469,75,42,407,null,{"$f":"J297","v":407},null,null,null,null,null,297]
[null,"Kew Gardens",null,null,null,null,590,154,47,671,null,{"$f":"J298","v":671},null,null,null,null,null,298]
[null,"Mets-Willets Point",null,null,null,null,"No data",null,null,null,null,null,null,null,null,null,null,299]
[null,"Nostrand Avenue",null,null,null,null,1,3,2,5,null,{"$f":"J300","v":5},null,null,null,null,null,300]
[null,"Woodside",null,null,null,null,498,123,50,285,null,{"$f":"J301","v":285},null,null,null,null,null,301]
[null,"Zone 1 daily total trips",null,null,null,null,{"$f":"2*SUM(G294:G301)","v":3136},{"$f":"2*SUM(H294:H301)","v":730},{"$f":"2*SUM(I294:I301)","v":288},{"$f":"2*SUM(J294:J301)","v":2790},null,{"$f":"2*SUM(L294:L301)","v":2790},null,null,null,null,null,302]
[null,{"$f":"CONCATENATE(\"Twice sum of Rows \",R295, \"-\",R301, \", with doubling to capture eastbound trips not included in figures shown.\")","v":"Twice sum of Rows 295-301, with doubling to capture eastbound trips not included in figures shown."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,303]
[null,"Zone 1 annual total trips",null,null,null,null,{"$f":"G302*weekday_per_yr","v":784000},{"$f":"H302*weekday_per_yr","v":182500},{"$f":"I302*weekday_per_yr","v":72000},{"$f":"J302*wkend_per_yr","v":320850},null,{"$f":"L302*Wknd_Days_per_Year_no_holidays","v":290160},null,null,null,null,null,304]
[null,"Daily values times weekdays or weekend + holidays in yr, except that multiple used to calculate annual trips under current program is weekend days w/o holidays.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,305]
[null,"Fare discount for Zone 1 trips",null,null,null,null,{"$f":"IF(I268=\"NO CHANGE\",0,G275-I268)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,G276-I267)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,G276-I267)","v":0},{"$f":"IF(I268=\"NO CHANGE\",0,G276-I267)","v":0},null,{"$f":"G276-$I$266","v":1.2999999999999998},null,null,null,null,null,306]
[null,{"$f":"CONCATENATE(\"Each figure is difference between applicable fares (current vs. discounted rate) in Rows \",R$275, \" & \",R$268, \".\")","v":"Each figure is difference between applicable fares (current vs. discounted rate) in Rows 275 & 268."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,307]
[null,"Annual discount revenue loss for Zone 1 trips",null,null,null,null,{"$f":"G304*G306","v":0},{"$f":"H304*H306","v":0},{"$f":"I304*I306","v":0},{"$f":"J304*J306","v":0},{"$f":"SUM(G308:J308)","v":0},{"$f":"L304*L306","v":377207.99999999994},{"$f":"IF(I267=\"No Change\",0,K308-L308)","v":0},null,null,null,null,308]
[null,{"$f":"CONCATENATE(\"Each figure is product of Rows \",R304,\" and \",R306,\".\")","v":"Each figure is product of Rows 304 and 306."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,309]
[null,null,null,null,null,null,null,"Mid-day\n(Off-Peak)",null,"Weekends + Holidays",null,"Current City Tkt program","Net Change in Discount",null,null,null,null,310]
[null,null,null,null,null,null,"AM Peak",null,"PM Off-peak",null,"Total",null,null,null,null,null,null,311]
[null,"Zone 3",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,312]
[null,"Auburndale",null,null,null,null,573,101,15,599,null,{"$f":"J313","v":599},null,null,null,null,null,313]
[null,"Bayside",null,null,null,null,2882,820,216,2208,null,2208,null,null,null,null,null,314]
[null,"Broadway",null,null,null,null,968,243,78,1108,null,1108,null,null,null,null,null,315]
[null,"Douglaston",null,null,null,null,1021,326,85,{"$f":"551","v":551},null,551,null,null,null,null,null,316]
[null,"Far Rockaway","[N.B., first 3 fig's are from Jeff Zupan, who recorded weekdays only]",null,null,null,142,45,17,"NA",null,0,null,null,null,null,null,317]
[null,"Flushing",null,null,null,null,231,199,76,730,null,730,null,null,null,null,null,318]
[null,"Hollis",null,null,null,null,99,13,2,118,null,118,null,null,null,null,null,319]
[null,"Jamaica"," [Total uses % for this station, to weed out transfers] ",null,null,0.05,1389,1729,667,7154,null,7154,null,null,null,null,null,320]
[null,"Laurelton","since vast majority of number shown is transfers]",null,null,null,543,137,42,571,null,571,null,null,null,null,null,321]
[null,"Little Neck",null,null,null,null,1132,492,23,871,null,871,null,null,null,null,null,322]
[null,"Locust Manor",null,null,null,null,576,122,42,364,null,364,null,null,null,null,null,323]
[null,"Murray Hill",null,null,null,null,289,103,34,362,null,362,null,null,null,null,null,324]
[null,"Queens Village",null,null,null,null,621,173,45,545,null,545,null,null,null,null,null,325]
[null,"Rosedale",null,null,null,null,1037,153,23,652,null,652,null,null,null,null,null,326]
[null,"St. Albans",null,null,null,null,70,16,7,43,null,43,null,null,null,null,null,327]
[null,"Zone 3 daily total trips",null,null,null,null,{"$f":"2*(SUM(G313:G327)-(1-$F$320)*G320)","v":20506.900000000001},{"$f":"2*(SUM(H313:H327)-(1-$F$320)*H320)","v":6058.9},{"$f":"2*(SUM(I313:I327)-(1-$F$320)*I320)","v":1476.7},{"$f":"2*(SUM(J313:J327)-(1-$F$320)*J320)","v":18159.400000000001},null,{"$f":"2*(SUM(L313:L327)-(1-$F$320)*L320)","v":18159.400000000001},null,null,null,null,null,328]
[null,{"$f":"CONCATENATE(\"Twice sum of Rows \",R313, \"-\",R327, \", with doubling to capture eastbound trips not included in figures shown.\")","v":"Twice sum of Rows 313-327, with doubling to capture eastbound trips not included in figures shown."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,329]
[null,"Zone 3 annual total trips",null,null,null,null,{"$f":"G328*weekday_per_yr","v":5126725},{"$f":"H328*weekday_per_yr","v":1514725},{"$f":"I328*weekday_per_yr","v":369175},{"$f":"J328*wkend_per_yr","v":2088331.0000000002},null,{"$f":"L328*Wknd_Days_per_Year_no_holidays","v":1888577.6},null,null,null,null,null,330]
[null,"Daily values times weekdays or weekend + holidays in yr, except that multiple used to calculate annual trips under current program is weekend days w/o holidays.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,331]
[null,"Fare discount for Zone 3 trips",null,null,null,null,{"$f":"IF(I268=\"NO CHANGE\",0,H275-I268)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,H276-I267)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,H276-I267)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,H276-I267)","v":0},null,{"$f":"H276-$I$266","v":2.4625000000000004},null,null,null,null,null,332]
[null,{"$f":"CONCATENATE(\"Each figure is difference between applicable fares (current vs. discounted rate) in Rows \",R$275, \" & \",R$268, \".\")","v":"Each figure is difference between applicable fares (current vs. discounted rate) in Rows 275 & 268."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,333]
[null,"Annual discount revenue loss for Zone 3 trips",null,null,null,null,{"$f":"G330*G332","v":0},{"$f":"H330*H332","v":0},{"$f":"I330*I332","v":0},{"$f":"J330*J332","v":0},{"$f":"SUM(G334:J334)","v":0},{"$f":"L330*L332","v":4650622.3400000008},{"$f":"IF(I267=\"No Change\",0,K334-L334)","v":0},null,null,null,null,334]
[null,{"$f":"CONCATENATE(\"Each figure is product of Rows \",R330,\" and \",R332,\".\")","v":"Each figure is product of Rows 330 and 332."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,335]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R336)","v":336}]
[null,"LIRR Total Revenue Cost (rounded)",null,null,null,null,{"$f":"ROUND(G334+G308,-5)","v":0},0,0,0,0,5000000,0,null,null,null,null,337]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",R308,\" and \",R334,\".\")","v":"Sum of Rows 308 and 334."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,338]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,339]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,340]
[null,"New York City MNRR Stations Weekday Boardings",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,341]
[null,"Source: MTA Metro North Rail Road Passenger Counts 2007. Available at: http://bit.ly/fKielE, but link broken when checked on 14 July 2014. We continue to use these data, absent newer figures. Note that the 2007 data don't include subsequently completed Yankee Stadium stop.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,342]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,"Weekday\nOff-Peak","Weekends (off peak)",null,null,"Current City Tkt program","Net Change in Discount",null,null,null,null,{"$f":"ROW()","v":344}]
[null,null,null,null,null,null,"AM Peak",null,null,null,"Total",null,null,null,null,null,null,{"$f":"ROW(R345)","v":345}]
[null,"Zone 1 (daily figures)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,346]
[null,"125th (Hudson line)",null,null,null,null,20,17,13,null,null,{"$f":"I347","v":13},null,null,null,null,null,347]
[null,"125th (Harlem line)",null,null,null,null,9,45,58,null,null,{"$f":"I348","v":58},null,null,null,null,null,348]
[null,"125th (New Haven line)",null,null,null,null,12,21,27,null,null,{"$f":"I349","v":27},null,null,null,null,null,349]
[null,"Zone 1 daily total trips",null,null,null,null,{"$f":"2*SUM(G347:G349)","v":82},{"$f":"2*SUM(H347:H349)","v":166},{"$f":"2*SUM(I347:I349)","v":196},null,null,{"$f":"2*SUM(L347:L349)","v":196},null,null,null,null,null,350]
[null,{"$f":"CONCATENATE(\"Twice sum of Rows \",R347, \"-\",R349, \", with doubling to capture return trips that aren't included in figures shown.\")","v":"Twice sum of Rows 347-349, with doubling to capture return trips that aren't included in figures shown."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,351]
[null,"Zone 1 annual total trips",null,null,null,null,{"$f":"G350*weekday_per_yr","v":20500},{"$f":"H350*weekday_per_yr","v":41500},{"$f":"I350*wkend_per_yr","v":22540},null,null,{"$f":"L350*Wknd_Days_per_Year_no_holidays","v":20384},null,null,null,null,null,352]
[null,"Daily values times weekdays or weekend + holidays in yr, except that multiple used to calculate annual trips under current program is weekend days w/o holidays.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,353]
[null,"Fare discount",null,null,null,null,{"$f":"IF(I268=\"NO CHANGE\",0,I275-I268)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,I276-I267)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,I276-I267)","v":0},null,null,{"$f":"I276-$I$266","v":1.0750000000000002},null,null,null,null,null,354]
[null,{"$f":"CONCATENATE(\"Each figure is difference between applicable fares (current vs. discounted rate) in Rows \",R$275, \" & \",R$268, \".\")","v":"Each figure is difference between applicable fares (current vs. discounted rate) in Rows 275 & 268."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,355]
[null,"Annual discount revenue loss",null,null,null,null,{"$f":"G352*G354","v":0},{"$f":"H352*H354","v":0},{"$f":"I352*I354","v":0},null,{"$f":"SUM(G356:I356)","v":0},{"$f":"L352*L354","v":21912.800000000003},{"$f":"IF(I267=\"No Change\",0,K356-L356)","v":0},null,null,null,null,356]
[null,{"$f":"CONCATENATE(\"Each figure is product of Rows \",R352,\" and \",R354,\".\")","v":"Each figure is product of Rows 352 and 354."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,357]
[null,null,null,null,null,null,null,"Weekday\nOff-Peak","Weekends (off peak)",null,null,"Current City Tkt program","Net Change in Discount",null,null,null,null,358]
[null,null,null,null,null,null,"AM Peak",null,null,null,"Total",null,null,null,null,null,null,359]
[null,"Zone 2 (daily figures)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,360]
[null,"Riverdale",null,null,null,null,627,95,225,null,null,{"$f":"I361","v":225},null,null,null,null,null,361]
[null,"Spuyten Duyvil",null,null,null,null,933,131,304,null,null,304,null,null,null,null,null,362]
[null,"Marble Hill",null,null,null,null,124,51,117,null,null,117,null,null,null,null,null,363]
[null,"University Heights",null,null,null,null,22,5,15,null,null,15,null,null,null,null,null,364]
[null,"Morris Heights",null,null,null,null,47,25,58,null,null,58,null,null,null,null,null,365]
[null,"Wakefield",null,null,null,null,312,82,223,null,null,223,null,null,null,null,null,366]
[null,"Woodlawn",null,null,null,null,720,272,730,null,null,730,null,null,null,null,null,367]
[null,"Williams Bridge",null,null,null,null,133,46,129,null,null,129,null,null,null,null,null,368]
[null,"Botanical Garden",null,null,null,null,145,146,429,null,null,429,null,null,null,null,null,369]
[null,"Fordham (Harlem)",null,null,null,null,170,446,531,null,null,531,null,null,null,null,null,370]
[null,"Fordham (NH)",null,null,null,null,3,43,43,null,null,43,null,null,null,null,null,371]
[null,"Tremont",null,null,null,null,9,7,2,null,null,2,null,null,null,null,null,372]
[null,"Melrose",null,null,null,null,9,1,4,null,null,4,null,null,null,null,null,373]
[null,"Zone 2 daily total trips",null,null,null,null,{"$f":"2*SUM(G361:G373)","v":6508},{"$f":"2*SUM(H361:H373)","v":2700},{"$f":"2*SUM(I361:I373)","v":5620},null,null,{"$f":"2*SUM(L361:L373)","v":5620},null,null,null,null,null,374]
[null,{"$f":"CONCATENATE(\"Twice sum of Rows \",R361, \"-\",R373, \", with doubling to capture return trips that aren't included in figures shown.\")","v":"Twice sum of Rows 361-373, with doubling to capture return trips that aren't included in figures shown."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,"Zone 2 annual total trips",null,null,null,null,{"$f":"G374*weekday_per_yr","v":1627000},{"$f":"H374*weekday_per_yr","v":675000},{"$f":"I374*wkend_per_yr","v":646300},null,null,{"$f":"L374*Wknd_Days_per_Year_no_holidays","v":584480},null,null,null,null,null,376]
[null,"Daily values times weekdays or weekend + holidays in yr, except that multiple used to calculate annual trips under current program is weekend days w/o holidays.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,377]
[null,"Fare discount",null,null,null,null,{"$f":"IF(I268=\"NO CHANGE\",0,J275-I268)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,J276-I267)","v":0},{"$f":"IF(I267=\"NO CHANGE\",0,J276-I267)","v":0},null,null,{"$f":"J276-$I$266","v":1.7625000000000002},null,null,null,null,null,378]
[null,{"$f":"CONCATENATE(\"Each figure is difference between applicable fares (current vs. discounted rate) in Rows \",R$275, \" & \",R$268, \".\")","v":"Each figure is difference between applicable fares (current vs. discounted rate) in Rows 275 & 268."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,379]
[null,"Annual discount revenue loss",null,null,null,null,{"$f":"G376*G378","v":0},{"$f":"H376*H378","v":0},{"$f":"I376*I378","v":0},null,{"$f":"SUM(G380:I380)","v":0},{"$f":"L376*L378","v":1030146.0000000001},{"$f":"IF(I267=\"No Change\",0,K380-L380)","v":0},null,null,null,null,380]
[null,{"$f":"CONCATENATE(\"Each figure is product of Rows \",R376,\" and \",R378,\".\")","v":"Each figure is product of Rows 376 and 378."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,381]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,382]
[null,"Metro-North Total Revenue Cost (rounded)",null,null,null,null,{"$f":"ROUND(G380+G356,-5)","v":0},{"$f":"ROUND(H380+H356,-5)","v":0},{"$f":"ROUND(I380+I356,-5)","v":0},null,{"$f":"ROUND(K380+K356,-5)","v":0},{"$f":"ROUND(L380+L356,-5)","v":1100000},{"$f":"ROUND(M380+M356,-5)","v":0},null,null,null,null,383]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",R356,\" and \",R380,\".\")","v":"Sum of Rows 356 and 380."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,384]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,385]
[null,"Total Commuter RR Discount, New Net Revenue Cost (rounded)",null,null,null,null,{"$f":"G383+G337","v":0},{"$f":"H383+H337","v":0},{"$f":"I383+I337","v":0},null,{"$f":"K383+K337","v":0},{"$f":"L383+L337","v":6100000},{"$f":"M383+M337","v":0},null,null,null,null,386]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,387]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,388]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,389]
[null,"OTHER DATA NOT USED CURRENTLY (July 2014)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(R390)","v":390}]
[null,"2007 Inbound Station Boardings Summary",null,null,"Weekday",null,null,"Weekend",null,null,null,null,null,null,null,null,null,391]
[null,"mnrr_2007_ridership.pdf",null,null,"AM Peak","Offpeak","Total","Saturday","Sunday","Total",null,null,null,null,null,null,null,392]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,393]
[null,"Hudson Line",null,null,18132,7347,{"$f":"E394+F394","v":25479},11287,9255,{"$f":"H394+I394","v":20542},null,null,null,null,null,null,null,394]
[null,"Harlem Line",null,null,28002,17169,{"$f":"E395+F395","v":45171},17353,13463,{"$f":"H395+I395","v":30816},null,null,null,null,null,null,null,395]
[null,"New Haven Line",null,null,39199,22807,{"$f":"E396+F396","v":62006},28066,21372,{"$f":"H396+I396","v":49438},null,null,null,null,null,null,null,396]
[null,"TOTAL EAST OF HUDSON",null,null,{"$f":"SUM(E394:E396)","v":85333},47323,132656,56706,44090,100796,null,null,null,null,null,null,null,397]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,398]
[null,"Port Jervis Line",null,null,2131,408,{"$f":"E399+F399","v":2539},446,444,{"$f":"H399+I399","v":890},null,null,null,null,null,null,null,399]
[null,"Pascack Valley Line",null,null,800,35,{"$f":"E400+F400","v":835},122,123,{"$f":"H400+I400","v":245},null,null,null,null,null,null,null,400]
[null,"TOTAL WEST OF HUDSON",null,null,{"$f":"SUM(E399:E400)","v":2931},443,3374,568,567,1135,null,null,null,null,null,null,null,401]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,402]
[null,"METRO NORTH TOTAL",null,null,{"$f":"E401+E397","v":88264},47766,136030,57274,44657,101931,null,null,null,null,null,null,null,403]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,404]
[null,"In-NYC stations (subset of above figures)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,405]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,406]
[null,"Riverdale",null,null,627,95,{"$f":"E407+F407","v":722},136,89,{"$f":"H407+I407","v":225},null,null,null,null,null,null,null,407]
[null,"Sputen Duyvil",null,null,933,131,1064,164,140,304,null,null,null,null,null,null,null,408]
[null,"Marble Hill",null,null,124,51,175,79,38,117,null,null,null,null,null,null,null,409]
[null,"University Heights",null,null,22,5,27,7,8,15,null,null,null,null,null,null,null,410]
[null,"Morris Heights",null,null,47,25,72,29,29,58,null,null,null,null,null,null,null,411]
[null,"Harlem - 125th Street",null,null,20,17,37,4,9,13,null,null,null,null,null,null,null,412]
[null,"Total in-city Hudson Line boardings ",null,null,{"$f":"SUM(E407:E412)","v":1773},324,2097,419,313,732,null,null,null,null,null,null,null,413]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,414]
[null,"Wakefield",null,null,312,82,{"$f":"E415+F415","v":394},143,80,{"$f":"H415+I415","v":223},null,null,null,null,null,null,null,{"$f":"ROW(R415)","v":415}]
[null,"Woodlawn",null,null,720,272,992,446,284,730,null,null,null,null,null,null,null,416]
[null,"Williams Bridge",null,null,133,46,179,76,53,129,null,null,null,null,null,null,null,417]
[null,"Botanical Garden",null,null,145,146,291,220,209,429,null,null,null,null,null,null,null,418]
[null,"Fordham",null,null,170,446,616,324,207,531,null,null,null,null,null,null,null,419]
[null,"Tremont",null,null,9,7,16,1,1,2,null,null,null,null,null,null,null,420]
[null,"Melrose",null,null,9,1,10,1,3,4,null,null,null,null,null,null,null,421]
[null,"Harlem - 125th Street",null,null,9,45,54,39,19,58,null,null,null,null,null,null,null,422]
[null,"Total in-city Harlem Line boardings ",null,null,{"$f":"SUM(E415:E422)","v":1507},1045,2552,1250,856,2106,null,null,null,null,null,null,null,423]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumptions as to \"days\"",null,null,null,424]
[null,"Fordham",null,null,3,43,46,41,2,{"$f":"H425+I425","v":43},null,null,null,"Trips/day",null,2,null,425]
[null,"Harlem - 125th Street",null,null,12,21,{"$f":"E426+F426","v":33},24,3,{"$f":"H426+I426","v":27},null,null,null,"Weekdays/week",null,5,null,426]
[null,"Total in-city New Haven Line boardings ",null,null,{"$f":"SUM(E425:E426)","v":15},64,79,65,5,70,null,null,null,"Weekdays/month",null,{"$f":"ROUND(P430/12,0)","v":21},null,427]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Trips/week",null,{"$f":"P425*P426","v":10},null,428]
[null,"Total in-city Metro North RR boardings ",null,null,{"$f":"E413+E423+E427","v":3295},1433,4728,1734,1174,2908,null,null,null,"Trips/month",null,{"$f":"P425*P427","v":42},null,429]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Weekdays/year",null,{"$f":"weekday_per_yr","v":250},null,430]
[null,null,null,null,{"$f":"E429/E403","v":3.7331188253421556E-2},3.0000418707867522E-2,3.4757038888480481E-2,3.0275517686908546E-2,2.6289271558770182E-2,2.8529103020670847E-2,null,null,null,"Wknds+holidays/yr",null,{"$f":"wkend_per_yr","v":115},null,431]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,432]

{"sheet":"Incidence","index":7,"n_rows":636,"n_cols":34,"rows_kept":636,"cut":false,"hidden":false,"merged":[[222,1,225,3],[76,9,78,16],[96,12,99,15],[116,12,119,15],[222,7,224,7],[222,8,224,8],[222,9,224,9],[222,12,224,12],[222,6,224,6],[219,4,222,5],[224,4,224,5],[223,4,223,5],[17,10,19,23],[6,10,9,23],[172,12,175,15],[222,15,224,15],[21,10,23,23],[25,10,27,23],[72,20,89,22],[159,12,159,15],[157,12,158,15],[224,23,225,23],[222,21,224,21],[222,17,224,17],[222,13,224,13],[222,14,224,14],[222,16,224,16],[611,23,612,23],[550,1,551,7],[371,5,373,5],[371,6,373,23],[379,6,380,22],[528,3,528,4],[595,1,596,5],[534,1,536,8],[528,5,528,6],[528,7,528,8],[384,6,384,23],[537,9,540,9],[537,10,540,10],[577,2,581,3],[599,2,599,12],[605,2,605,12],[226,1,229,2],[231,6,231,21],[230,4,230,5],[369,32,373,32],[234,13,238,17],[362,1,363,5],[279,4,283,18],[371,4,373,4],[232,1,233,4],[317,1,318,10],[302,1,303,10],[305,1,308,10],[230,1,230,2],[234,20,238,23],[386,4,398,5],[369,33,373,33],[385,29,386,29],[385,30,387,30],[216,25,225,25],[222,10,224,10],[224,24,225,24],[222,22,224,22],[222,18,224,18],[222,20,224,20],[385,31,389,31],[369,29,373,29],[369,30,373,30],[369,31,373,31]]}
[null,"Incidence ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"This worksheet estimates (in Sections 1 & 2) prospective cordon toll payments by residents, on a county by county basis. It then adds (3) prospective medallion taxi surcharge \" & \"payments, and (4) possible 'Outer Borough Toll Relief' (toll reductions on MTA bridges) to arrive at each county's share of toll 'incidence.' These calculations are shown and displayed in Rows \",AA35, \"-\",AA402, \". Further calculations in Rows \",AA407, \"-\",AA427, \" estimate (5) county shares of possible discounted bus fares in 'transit deserts' and (6) impact on Manhattan residents of closing a monthly parking loophole.\" )","v":"This worksheet estimates (in Sections 1 & 2) prospective cordon toll payments by residents, on a county by county basis. It then adds (3) prospective medallion taxi surcharge payments, and (4) possible 'Outer Borough Toll Relief' (toll reductions on MTA bridges) to arrive at each county's share of toll 'incidence.' These calculations are shown and displayed in Rows 35-402. Further calculations in Rows 407-427 estimate (5) county shares of possible discounted bus fares in 'transit deserts' and (6) impact on Manhattan residents of closing a monthly parking loophole."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,"Click here",null,"for pie charts of borough/county incidence, with and without the taxi surcharge and outer-borough toll relief.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,"Click here",null,"to see borough/county breakdowns of toll revenues on autos and trucks (not counting taxi surcharges and toll discounts on borough bridges).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,"Click here",null,"to see borough/county breakdowns of taxi surcharge revenues.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,"Click here",null,"to see borough/county breakdowns of possible discounts in tolls on MTA bridges.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,"Click here",null,"to see total borough/county breakdowns of the toll plan being modeled (and shown graphically in the pie charts directly below).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Here we also estimate the number of different vehicles in each county or state that are likely to take at least one \" & \"trip into or through the CBD in a typical month. This enables estimation of the revenue and traffic impacts of offering one toll-exempt trip per month per vehicle -- a 'twist' envisioned in the 2011 Move NY Plan. These calculations begin in Row \",AA433, \".\")","v":"Here we also estimate the number of different vehicles in each county or state that are likely to take at least one trip into or through the CBD in a typical month. This enables estimation of the revenue and traffic impacts of offering one toll-exempt trip per month per vehicle -- a 'twist' envisioned in the 2011 Move NY Plan. These calculations begin in Row 433."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Further below, this worksheet calculates the number of autos that are driven into or through the CBD for work purposes from each county on a typical weekday, and compares this to the \" & \"number of employed people living in each county. The resulting ratio offers a good county-by-county picture of the extent to which residents will be significantly affected by the cordon toll. These calculations are shown in Rows \",AA554, \" to \",AA562, \".\")","v":"Further below, this worksheet calculates the number of autos that are driven into or through the CBD for work purposes from each county on a typical weekday, and compares this to the number of employed people living in each county. The resulting ratio offers a good county-by-county picture of the extent to which residents will be significantly affected by the cordon toll. These calculations are shown in Rows 554 to 562."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Finally, we tabulate the number of vehicles registered to households in each borough and county within the MTA tax district. These figures are shown and displayed in Rows \",AA569, \"-\",AA588, \" and are used to calculate the amount by which recurring vehicle registration fees would have to rise if the funds anticipated from the \",Select_Plan_Box, \" had to be generated instead through registration surcharges.\")","v":"Finally, we tabulate the number of vehicles registered to households in each borough and county within the MTA tax district. These figures are shown and displayed in Rows 569-588 and are used to calculate the amount by which recurring vehicle registration fees would have to rise if the funds anticipated from the Fix NYC higher-range plan had to be generated instead through registration surcharges."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"We begin with the county-by-county results. Their derivation takes up most of this worksheet. The results are shown in the yellow pie chart above, and broken out in the three pie charts below:",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"1. What residents of each county will pay.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"2. What each county's residents will pay in the cordon (CBD) toll alone, i.e., what each county's net tolls would be without the taxi surcharge, outer-borough toll reductions, and other supplemental features of the toll overhaul.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"3. The magnitude of the savings residents will enjoy via outer-borough toll relief. (These savings are subsumed in Chart #1.)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Pie shares in chart are from Row \",$AA$426, \".\")","v":"Pie shares in chart are from Row 426."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Pie shares in chart are from Row \",$AA$397, \".\")","v":"Pie shares in chart are from Row 397."},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Pie shares in chart are from Row \",$AA$276, \".\")","v":"Pie shares in chart are from Row 276."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Pie charts are derived below.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"1. AUTOS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Autos Part 1: Divide Trips to and through Manhattan Central Business District, by county/state of origin",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":71}]
[null,"A. Weekday Work Trips into (not through) Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"% of workers solo-car-commuting to CBD regularly",null,null,null,null,3.1E-2,2.5000000000000001E-2,1.2999999999999999E-2,3.7999999999999999E-2,5.8000000000000003E-2,null,2.8000000000000001E-2,1.2E-2,2.8000000000000001E-2,4.3999999999999997E-2,2.1000000000000001E-2,{"$f":"R$76/100*Q73","v":1.0500000000000001E-2},{"$f":"R$77/100*P73","v":1.0999999999999999E-2},null,{"$f":"CONCATENATE(\"Percentages of workers car-commuting to CBD from outside 12-county MTA region weren't readily available. Numbers for these areas are estimated further below, in Row \",AA92, \", via a different procedure.\")","v":"Percentages of workers car-commuting to CBD from outside 12-county MTA region weren't readily available. Numbers for these areas are estimated further below, in Row 92, via a different procedure."},null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"% of workers carpool-commuting to CBD regularly",null,null,null,null,1.0999999999999999E-2,1.2E-2,7.0000000000000001E-3,1.6E-2,2.1999999999999999E-2,null,7.0000000000000001E-3,3.0000000000000001E-3,7.0000000000000001E-3,1.4E-2,4.0000000000000001E-3,{"$f":"R$76/100*Q74","v":2E-3},{"$f":"R$77/100*P74","v":3.5000000000000001E-3},null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Both above rows are from the TSTC database (<http://www.tstc.org/reports/cpfactsheets.php>), which drew them from Census data, except that:",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"1. Dutchess percent (for both solo and carpool) is Komanoff guesstimate, set at \",R76, \"% of Putnam County.\")","v":"1. Dutchess percent (for both solo and carpool) is Komanoff guesstimate, set at 50% of Putnam County."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"2. Orange percent (for both solo and carpool) is Komanoff guesstimate, set at \",R77, \"% of Rockland County.\")","v":"2. Orange percent (for both solo and carpool) is Komanoff guesstimate, set at 25% of Rockland County."},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note: To allow for reverse commuters from CBD who will pay toll on re-entry, Manhattan figures in Rows \",AA86,\" and \",AA90,\" have been supplemented by 11,049 reverse commuters in SOV's (Row \",AA86,\"), and reverse-commuting carpoolers using 1,069 HOV-2's and 663 HOV-3's (Row \",AA90,\").\")","v":"Note: To allow for reverse commuters from CBD who will pay toll on re-entry, Manhattan figures in Rows 86 and 90 have been supplemented by 11,049 reverse commuters in SOV's (Row 86), and reverse-commuting carpoolers using 1,069 HOV-2's and 663 HOV-3's (Row 90)."},null,null,null,null,null,null,null,25,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Assumed car occupancy of carpools into CBD",null,null,null,2.3330000000000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Komanoff assumption. Assumes every third carpool has three people, while 'standard' has two.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"Population (July 1, 2017)",null,null,null,null,1471160,2648771,1664727,2358582,479458,{"$f":"SUM(G80:K80)","v":8622698},1369514,1492953,980244,328868,99323,295568,382226,{"$f":"SUM(L80:S80)","v":13571394},null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Source: https://www.census.gov/quickfacts/ny. Accessed 26-Sept-2018.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Assumed % of population employed",null,null,null,{"$f":"143.4/316.13","v":0.45361085629329706},{"$f":"$F$82-2%","v":0.43361085629329704},0.46,{"$f":"$F$82+2%","v":0.47361085629329708},{"$f":"$F$82+2%","v":0.47361085629329708},{"$f":"$F$82-2%","v":0.43361085629329704},{"$f":"$F$82+2%","v":0.47361085629329708},{"$f":"$F$82+2%","v":0.47361085629329708},{"$f":"$F$82","v":0.45361085629329706},0.46,0.45361085629329706,0.45361085629329706,0.45361085629329706,0.45361085629329706,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Rough est., calc'd from March 2013 seasonally adj'd employment of approx'ly 143.4 million (from USDOL/BLS, \"The Employment Situation - March 2014,\" available from http://www.bls.gov/news.release/empsit.nr0.htm), and pop. of 316.13 million (http://quickfacts.census.gov/qfd/states/00000.html), adj'd for indiv counties by Komanoff.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"No. of workers",null,null,null,null,{"$f":"G82*G80","v":637910.9473444469},{"$f":"H82*H80","v":1218434.6600000001},{"$f":"I82*I80","v":788432.77996457159},{"$f":"J82*J80","v":1117050.0406579573},{"$f":"K82*K80","v":207898.19393667163},{"$f":"SUM(G84:K84)","v":3969726.6219036472},{"$f":"M82*M80","v":648616.69824565842},677219.68873564678,450912.24,149178.09508746403,45053.991079619147,134072.85357289723,173381.86315756178,{"$f":"SUM(L84:S84)","v":6248162.0517824953},null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",AA82, \" and \",AA80, \".\")","v":"Product of Rows 82 and 80."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"No. of workers regularly solo-commuting to CBD",null,null,null,null,{"$f":"G73*G$84","v":19775.239367677856},{"$f":"H73*H$84","v":30460.866500000004},{"$f":"I73*I$84+11049","v":21298.626139539432},{"$f":"J73*J$84","v":42447.90154500238},{"$f":"K73*K$84","v":12058.095248326956},{"$f":"SUM(G86:K86)","v":126040.72880054664},{"$f":"M73*M$84","v":18161.267550878438},8126.6362648277618,12625.542719999999,6563.836183848417,946.13381267200214,1407.7649625154211,1907.2004947331795,{"$f":"SUM(L86:S86)","v":175779.11079002183},null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",AA84, \" and \",AA73, \".\")","v":"Product of Rows 84 and 73."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"No. of workers regularly carpool-commuting to CBD",null,null,null,null,{"$f":"G74*G84","v":7017.0204207889155},{"$f":"H74*H84","v":14621.215920000002},{"$f":"I74*I84","v":5519.0294597520015},{"$f":"J74*J84","v":17872.800650527319},{"$f":"K74*K84","v":4573.7602666067751},{"$f":"SUM(G88:K88)","v":49603.826717675016},{"$f":"M74*M84","v":4540.3168877196094},2031.6590662069405,3156.3856799999999,2088.4933312244966,180.21596431847658,268.14570714579446,606.83652105146621,{"$f":"SUM(L88:S88)","v":62475.879875341801},null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",AA84, \" and \",AA74, \".\")","v":"Product of Rows 84 and 74."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"No. of autos used by regular carpool-commuters to CBD",null,null,null,null,{"$f":"G88/$F$78","v":3007.724140929668},{"$f":"H88/$F$78","v":6267.1306986712389},{"$f":"I88/$F$78+2138/2+1988/3","v":4097.302954601515},{"$f":"J88/$F$78","v":7660.8661168141098},{"$f":"K88/$F$78","v":1960.4630375511251},{"$f":"SUM(G90:K90)","v":22993.486948567657},{"$f":"M88/$F$78","v":1946.1281130388379},870.83543343632243,1352.9299957136732,895.19645573274602,77.246448486273707,114.93600820651284,260.10995330109995,{"$f":"SUM(L90:S90)","v":28510.869356483119},null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,{"$f":"CONCATENATE(\"Quotient of Rows \",AA88, \" and \",AA78, \".\")","v":"Quotient of Rows 88 and 78."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"No. autos used by regular commuters to CBD (SOV + carpool)",null,null,null,null,{"$f":"G86+G90","v":22782.963508607525},{"$f":"H86+H90","v":36727.997198671241},{"$f":"I86+I90","v":25395.929094140949},{"$f":"J86+J90","v":50108.767661816491},{"$f":"K86+K90","v":14018.55828587808},{"$f":"SUM(G92:K92)","v":149034.21574911429},{"$f":"M86+M90","v":20107.395663917276},8997.4716982640839,13978.472715713673,7459.0326395811626,1023.3802611582759,1522.700970721934,2167.3104480342795,{"$f":"SUM(L92:S92)","v":204289.98014650497},{"$f":"(Distances!E171/(Distances!E112+Distances!E119))*(M92+N92)","v":53358.923497332486},{"$f":"Distances!E178/Distances!E133*O92","v":5103.251943831976},{"$f":"Distances!E180/(Distances!E184-Distances!E180)*(SUM(G92:V92)-L92-T92)","v":5649.3690730524531},{"$f":"SUM(T92:W92)","v":268401.52466072189},null,null,{"$f":"ROW()","v":92}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA86, \" and \",AA90, \", except that:.\")","v":"Sum of Rows 86 and 90, except that:."},null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"1. Number of NJ regular auto commuters is estimated by prorating NJ commuters in 'Distances' worksheet, Row \",Distances!O171, \", by sum of Nassau & Suffolk commuters in same worksheet, in Rows \",Distances!O112, \" and \",Distances!O119, \".\")","v":"1. Number of NJ regular auto commuters is estimated by prorating NJ commuters in 'Distances' worksheet, Row 171, by sum of Nassau & Suffolk commuters in same worksheet, in Rows 112 and 119."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,{"$f":"CONCATENATE(\"2. Number of CT regular auto commuters is estimated by prorating CT commuters in 'Distances' worksheet, Row \",Distances!O178, \", by Westchester commuters in same worksheet, Row \",Distances!O138, \".\")","v":"2. Number of CT regular auto commuters is estimated by prorating CT commuters in 'Distances' worksheet, Row 178, by Westchester commuters in same worksheet, Row 138."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"3. Number of 'Other' regular auto commuters is estimated by prorating ratio of 'Other' commuters to all others in 'Distances' worksheet (ratio of Row \",Distances!O180, \" to the difference between Rows \",Distances!O184, \" and \",Distances!O180, \") by sum of all other columns in this row in this tab.\")","v":"3. Number of 'Other' regular auto commuters is estimated by prorating ratio of 'Other' commuters to all others in 'Distances' worksheet (ratio of Row 180 to the difference between Rows 184 and 180) by sum of all other columns in this row in this tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Est'd % of weekdays that these \"regular\" commuters drive into CBD",null,null,null,null,null,null,null,"For NYC:",0.85,null,{"$f":"CONCATENATE(\"Komanoff assumptions. Are intended to be plausible while ensuring that figure for total CBD-commuter autos in Cell X\",AA107, \" matches estimated CBD entries for work trips in 'Motor Vs' worksheet, Cell I\",'Motor Vs'!O75, \".\")","v":"Komanoff assumptions. Are intended to be plausible while ensuring that figure for total CBD-commuter autos in Cell X107 matches estimated CBD entries for work trips in 'Motor Vs' worksheet, Cell I75."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,"For remainder of MTA 12-county region:",0.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,"For NJ + CT:",0.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,"For 'Other':",0.35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"No. of autos driven to CBD for commuting on typical weekday",null,null,null,null,{"$f":"$K97*G92","v":19365.518982316396},{"$f":"$K97*H92","v":31218.797618870554},{"$f":"$K97*I92","v":21586.539730019806},{"$f":"$K97*J92","v":42592.45251254402},{"$f":"$K97*K92","v":11915.774542996367},{"$f":"SUM(G101:K101)","v":126679.08338674714},{"$f":"$K98*M92","v":16085.916531133822},7197.9773586112678,11182.778172570939,5967.2261116649306,818.70420892662071,1218.1607765775473,1733.8483584274236,{"$f":"SUM(L101:S101)","v":170883.6949046597},{"$f":"$K99*U92","v":42687.138797865991},{"$f":"$K99*V92","v":4082.6015550655811},{"$f":"$K100*W92","v":1977.2791755683584},{"$f":"SUM(T101:W101)","v":219630.71443315965},null,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Rows \",AA97, \"-\",AA100, \" and number of autos in Row \",AA92, \".\")","v":"Product of estimated % in Rows 97-100 and number of autos in Row 92."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Factor by which regular CBD-commute autos are supplemented by other, less regular work trips",null,null,null,null,null,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Additional CBD-commute autos",null,null,null,null,{"$f":"$J103*G101","v":2904.8278473474593},{"$f":"$J103*H101","v":4682.8196428305828},{"$f":"$J103*I101","v":3237.9809595029706},{"$f":"$J103*J101","v":6388.8678768816026},{"$f":"$J103*K101","v":1787.3661814494551},{"$f":"SUM(G105:K105)","v":19001.862508012069},{"$f":"$J103*M101","v":2412.8874796700734},1079.6966037916902,1677.4167258856407,895.08391674973961,122.80563133899309,182.72411648663208,260.07725376411355,{"$f":"SUM(L105:S105)","v":25632.55423569895},6403.0708196798987,612.39023325983715,296.59187633525374,{"$f":"SUM(T105:W105)","v":32944.607164973939},null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Row \",AA103, \" and number of autos in Row \",AA101, \".\")","v":"Product of estimated % in Row 103 and number of autos in Row 101."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Total CBD-commuter autos",null,null,null,null,{"$f":"G101+G105","v":22270.346829663857},{"$f":"H101+H105","v":35901.61726170114},{"$f":"I101+I105","v":24824.520689522775},{"$f":"J101+J105","v":48981.320389425622},{"$f":"K101+K105","v":13703.140724445822},{"$f":"SUM(G107:K107)","v":145680.94589475921},{"$f":"M101+M105","v":18498.804010803895},8277.6739624029578,12860.194898456581,6862.3100284146703,941.50984026561378,1400.8848930641793,1993.9256121915371,{"$f":"SUM(L107:S107)","v":196516.24914035862},49090.209617545886,4694.9917883254184,2273.8710519036122,{"$f":"SUM(T107:W107)","v":252575.32159813354},null,null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA101, \" and \",AA105, \".\")","v":"Sum of Rows 101 and 105."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":109}]
[null,"B. Weekday Work Trips through Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"No. of workers regularly car-commuting through CBD",null,null,null,null,{"$f":"'Motor Vs'!$K$73*G92","v":5956.5240182493662},{"$f":"'Motor Vs'!$K$73*H92","v":9602.4030137004684},{"$f":"'Motor Vs'!$K$73*I92","v":6639.6744900134372},{"$f":"'Motor Vs'!$K$73*J92","v":13100.757414184593},{"$f":"'Motor Vs'!$K$73*K92","v":3665.1017370727031},{"$f":"SUM(G111:K111)","v":38964.460673220572},{"$f":"'Motor Vs'!$K$73*M92","v":5257.0064105715046},{"$f":"'Motor Vs'!$K$73*N92","v":2352.3566744941218},{"$f":"'Motor Vs'!$K$73*O92","v":3654.6215086608327},{"$f":"'Motor Vs'!$K$73*P92","v":1950.1373056137015},{"$f":"'Motor Vs'!$K$73*Q92","v":267.55909533404457},{"$f":"'Motor Vs'!$K$73*R92","v":398.10470228291979},{"$f":"'Motor Vs'!$K$73*S92","v":566.63553597150133},{"$f":"SUM(L111:S111)","v":53410.881906149203},{"$f":"'Motor Vs'!$K$73*U92","v":13950.49898928698},{"$f":"'Motor Vs'!$K$73*V92","v":1334.2268999872881},{"$f":"'Motor Vs'!$K$73*W92","v":1477.0072628558053},{"$f":"SUM(T111:W111)","v":70172.615058279291},null,null,{"$f":"ROW()","v":111}]
[null,{"$f":"CONCATENATE(\"Product of Cell K\",'Motor Vs'!O73, \" from 'Motor Vs' worksheet, which denotes auto through-trips as a percent of auto trips w/ CBD destination, and Row \",AA92, \" of this tab, which denotes solo + carpool auto-trips from county that end in CBD.\")","v":"Product of Cell K73 from 'Motor Vs' worksheet, which denotes auto through-trips as a percent of auto trips w/ CBD destination, and Row 92 of this tab, which denotes solo + carpool auto-trips from county that end in CBD."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Manhatt. thru-commuters calc'd above, distrib'd to other columns",null,null,null,null,{"$f":"G111/($X$111-$I$111)*$I$111","v":622.50196857529397},{"$f":"H111/($X$111-$I$111)*$I$111","v":1003.5239949957728},"NA",{"$f":"J111/($X$111-$I$111)*$I$111","v":1369.1285815639385},{"$f":"K111/($X$111-$I$111)*$I$111","v":383.03094881619131},{"$f":"SUM(G113:K113)","v":3378.1854939511968},{"$f":"M111/($X$111-$I$111)*$I$111","v":549.39706939274538},245.83912633902165,381.9356854045908,203.80414953710459,27.961956175343126,41.604962913090702,59.217714144405463,{"$f":"SUM(L113:S113)","v":4887.9461578574983},{"$f":"U111/($X$111-$I$111)*$I$111","v":1457.9330255082393},{"$f":"V111/($X$111-$I$111)*$I$111","v":139.43683752866013},{"$f":"W111/($X$111-$I$111)*$I$111","v":154.35846911903676},{"$f":"SUM(T113:W113)","v":6639.6744900134354},null,null,{"$f":"ROW()","v":113}]
[null,{"$f":"CONCATENATE(\"Uses Manhattan and total figures in Row \",AA111, \" to prorate Manhattan through-trips (an oxymoron) to each of the other columns, in proportion to their total through-trips in Row \",AA111, \".\")","v":"Uses Manhattan and total figures in Row 111 to prorate Manhattan through-trips (an oxymoron) to each of the other columns, in proportion to their total through-trips in Row 111."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Corrected # of workers regularly solo-commuting through CBD",null,null,null,null,{"$f":"G111+G113","v":6579.0259868246603},{"$f":"H111+H113","v":10605.927008696241},0,{"$f":"J111+J113","v":14469.885995748531},{"$f":"K111+K113","v":4048.1326858888942},{"$f":"SUM(G115:K115)","v":35702.971677158326},{"$f":"M111+M113","v":5806.4034799642504},2598.1958008331435,4036.5571940654236,2153.9414551508062,295.52105150938769,439.70966519601052,625.8532501159068,{"$f":"SUM(L115:S115)","v":51659.153573993251},{"$f":"U111+U113","v":15408.432014795218},{"$f":"V111+V113","v":1473.6637375159482},{"$f":"W111+W113","v":1631.365731974842},{"$f":"SUM(T115:W115)","v":70172.615058279262},null,null,{"$f":"ROW()","v":115}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA111, \" and \",AA113, \", except that Manhattan column is zeroed out.\")","v":"Sum of Rows 111 and 113, except that Manhattan column is zeroed out."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Est'd % of weekdays that these autos are driven into CBD",null,null,null,null,null,null,null,"For NYC:",{"$f":"K97","v":0.85},null,{"$f":"CONCATENATE(\"Komanoff assumptions. Each cell is same as value in corresponding cell, \",AA117-AA97, \" rows above.\")","v":"Komanoff assumptions. Each cell is same as value in corresponding cell, 20 rows above."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,"For remainder of MTA 12-county region:",{"$f":"K98","v":0.8},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,"For NJ + CT:",{"$f":"K99","v":0.8},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,"For 'Other':",{"$f":"K100","v":0.35},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"No. of autos driven thru CBD for commuting on typical weekday",null,null,null,null,{"$f":"$K117*G115","v":5592.1720888009613},{"$f":"$K117*H115","v":9015.0379573918035},{"$f":"$K117*I115","v":0},{"$f":"$K117*J115","v":12299.403096386251},{"$f":"$K117*K115","v":3440.91278300556},{"$f":"SUM(G121:K121)","v":30347.525925584574},{"$f":"$K118*M115","v":4645.1227839714002},2078.5566406665148,3229.2457552523392,1723.153164120645,236.41684120751017,351.76773215680845,500.68260009272547,{"$f":"SUM(L121:S121)","v":43112.47144305252},{"$f":"$K119*U115","v":12326.745611836175},{"$f":"$K119*V115","v":1178.9309900127587},{"$f":"$K120*W115","v":570.97800619119471},{"$f":"SUM(T121:W121)","v":57189.126051092644},null,null,{"$f":"ROW()","v":121}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Rows \",AA117, \"-\",AA120, \" and number of autos in Row \",AA109, \".\")","v":"Product of estimated % in Rows 117-120 and number of autos in Row 109."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Factor by which thru-CBD-commute autos are supplemented by other, less regular thru-CBD work trips, weekdays",null,null,null,null,null,null,null,null,{"$f":"J103","v":0.15},null,null,null,"`",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, chosen to match percentage in Row \",AA103, \".\")","v":"Komanoff assumption, chosen to match percentage in Row 103."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Additional through-CBD-commute autos",null,null,null,null,{"$f":"$K123*G121","v":838.82581332014422},{"$f":"$K123*H121","v":1352.2556936087706},{"$f":"$K123*I121","v":0},{"$f":"$K123*J121","v":1844.9104644579377},{"$f":"$K123*K121","v":516.13691745083395},{"$f":"SUM(G125:K125)","v":4552.1288888376857},{"$f":"$K123*M121","v":696.76841759571005},311.78349609997719,484.38686328785087,258.47297461809671,35.462526181126528,52.765159823521266,75.102390013908817,{"$f":"SUM(L125:S125)","v":6466.8707164578773},{"$f":"$K123*U121","v":1849.0118417754261},{"$f":"$K123*V121","v":176.83964850191379},{"$f":"$K123*W121","v":85.646700928679209},{"$f":"SUM(T125:W125)","v":8578.3689076638948},null,null,{"$f":"ROW()","v":125}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Row \",AA123, \" and number of autos in Row \",AA121, \".\")","v":"Product of estimated % in Row 123 and number of autos in Row 121."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Total through-CBD-commuter autos",null,null,null,null,{"$f":"G121+G125","v":6430.9979021211057},{"$f":"H121+H125","v":10367.293651000575},{"$f":"I121+I125","v":0},{"$f":"J121+J125","v":14144.31356084419},{"$f":"K121+K125","v":3957.049700456394},{"$f":"SUM(G127:K127)","v":34899.654814422262},{"$f":"M121+M125","v":5341.8912015671103},2390.3401367664919,3713.6326185401899,1981.6261387387417,271.87936738863669,404.53289198032974,575.78499010663427,{"$f":"SUM(L127:S127)","v":49579.342159510401},14175.757453611601,1355.7706385146726,656.62470711987396,{"$f":"SUM(T127:W127)","v":65767.49495875655},null,null,{"$f":"ROW()","v":127}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA121, \" and \",AA125, \".\")","v":"Sum of Rows 121 and 125."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"A. + B. Weekday Work Trips into or thru CBD",null,null,null,null,{"$f":"G107+G127","v":28701.344731784964},{"$f":"H107+H127","v":46268.910912701715},{"$f":"I107+I127","v":24824.520689522775},{"$f":"J107+J127","v":63125.63395026981},{"$f":"K107+K127","v":17660.190424902215},{"$f":"SUM(G130:K130)","v":180580.60070918148},{"$f":"M107+M127","v":23840.695212371007},10668.01409916945,16573.827516996771,8843.9361671534116,1213.3892076542504,1805.4177850445089,2569.7106022981716,{"$f":"SUM(L130:S130)","v":246095.59129986903},{"$f":"U107+U127","v":63265.967071157487},{"$f":"V107+V127","v":6050.7624268400905},{"$f":"W107+W127","v":2930.4957590234862},{"$f":"SUM(T130:W130)","v":318342.81655689009},null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.",{"$f":"L71","v":"NYC"},"Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":132}]
[null,"C. Weekday Non-Work Trips into Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Each county or state's share of into-CBD Work Trips",null,null,null,null,{"$f":"G107/$X107","v":8.8173091055576941E-2},{"$f":"H107/$X107","v":0.1421422213165518},{"$f":"I107/$X107","v":9.8285614494912799E-2},{"$f":"J107/$X107","v":0.19392757803693353},{"$f":"K107/$X107","v":5.4253680200192153E-2},{"$f":"SUM(G134:K134)","v":0.57678218510416723},{"$f":"M107/$X107","v":7.3240742182392987E-2},3.2773090854748527E-2,5.0916276448093073E-2,2.7169360747496641E-2,3.7276398751404038E-3,5.546404471348524E-3,7.8943801776644815E-3,{"$f":"SUM(L134:S134)","v":0.7780500798610519},{"$f":"U107/$X107","v":0.19435869390142607},{"$f":"V107/$X107","v":1.8588481877875249E-2},{"$f":"W107/$X107","v":9.0027443596469546E-3},{"$f":"SUM(T134:W134)","v":1.0000000000000002},null,null,{"$f":"ROW()","v":134}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA107, \" to Row Total in Cell X\",AA107, \".\")","v":"Ratio of respective columns in Row 107 to Row Total in Cell X107."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Total Non-Work Trips into Manhattan CBD",null,null,null,null,{"$f":"'Motor Vs'!J76","v":158700},{"$f":"CONCATENATE(\"Figure in cell at left is all weekday non-work trips into CBD, even though it appears in Bronx column. It is taken directly from Cell J\",'Motor Vs'!O76, \" of 'Motor Vs' worksheet.\")","v":"Figure in cell at left is all weekday non-work trips into CBD, even though it appears in Bronx column. It is taken directly from Cell J76 of 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Each county / state's non-work trips into CBD",null,null,null,null,{"$f":"G$134*$G136","v":13993.06955052006},{"$f":"H$134*$G136","v":22557.970522936772},{"$f":"I$134*$G136","v":15597.92702034266},{"$f":"J$134*$G136","v":30776.306634461351},{"$f":"K$134*$G136","v":8610.0590477704955},{"$f":"SUM(G137:K137)","v":91535.33277603134},{"$f":"M$134*$G136","v":11623.305784345766},5201.0895186485914,8080.4130723123708,4311.7775506277167,591.57644818478207,880.21438960301077,1252.8381341953532,{"$f":"SUM(L137:S137)","v":123476.54767394892},{"$f":"U$134*$G136","v":30844.724722156319},{"$f":"V$134*$G136","v":2949.9920740188018},{"$f":"W$134*$G136","v":1428.7355298759717},{"$f":"SUM(T137:W137)","v":158700.00000000003},null,null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",$AA$134, \" and number of trips in Row \",AA136, \".\")","v":"Product of % in Row 134 and number of trips in Row 136."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"D. Weekday Non-Work Trips through Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Each county or state's share of thru-CBD Work Trips",null,null,null,null,{"$f":"G127/$X127","v":9.7783835406138678E-2},{"$f":"H127/$X127","v":0.15763552583996102},{"$f":"I127/$X127","v":0},{"$f":"J127/$X127","v":0.2150654144530551},{"$f":"K127/$X127","v":6.0167255920845084E-2},{"$f":"SUM(G141:K141)","v":0.53065203161999985},{"$f":"M127/$X127","v":8.1223881264096548E-2},3.6345312198153477E-2,5.6466079799284523E-2,3.0130783299279366E-2,4.1339474395236577E-3,6.150954848348965E-3,8.7548566425969965E-3,{"$f":"SUM(L141:S141)","v":0.75385784711128334},{"$f":"U127/$X127","v":0.21554352134745833},{"$f":"V127/$X127","v":2.0614600561643558E-2},{"$f":"W127/$X127","v":9.9840309796146234E-3},{"$f":"SUM(T141:W141)","v":0.99999999999999989},null,null,{"$f":"ROW()","v":141}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA127, \" to Row Total in Cell X\",AA127, \".\")","v":"Ratio of respective columns in Row 127 to Row Total in Cell X127."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Total Non-Work Trips through Manhattan CBD",null,null,null,null,{"$f":"'Motor Vs'!J77","v":41498.257117044566},{"$f":"CONCATENATE(\"Figure in cell at left is all weekday non-work trips through CBD, even though it appears in Bronx column. It is taken directly from Cell J\",'Motor Vs'!O16, \" of 'Motor Vs' worksheet.\")","v":"Figure in cell at left is all weekday non-work trips through CBD, even though it appears in Bronx column. It is taken directly from Cell J16 of 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Each county / state's non-work trips through CBD",null,null,null,null,{"$f":"G$141*$G143","v":4057.858743574709},{"$f":"H$141*$G143","v":6541.5995820872249},{"$f":"I$141*$G143","v":0},{"$f":"J$141*$G143","v":8924.8398659566337},{"$f":"K$141*$G143","v":2496.8362562302514},{"$f":"SUM(G144:K144)","v":22021.134447848817},{"$f":"M$141*$G143","v":3370.6495087417775},1508.2671105982292,2343.2438979022654,1250.3749924914475,171.55161375370079,255.25390581211721,363.31129197735572,{"$f":"SUM(L144:S144)","v":31283.786769125716},{"$f":"U$141*$G143","v":8944.6804687900094},{"$f":"V$141*$G143","v":855.46999447225573},{"$f":"W$141*$G143","v":414.319884656586},{"$f":"SUM(T144:W144)","v":41498.257117044566},null,null,{"$f":"ROW()","v":144}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",$AA$134, \" and number of trips in Row \",AA143, \".\")","v":"Product of % in Row 134 and number of trips in Row 143."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"C. + D. Weekday Non-Work Trips into or thru CBD",null,null,null,null,{"$f":"G137+G144","v":18050.928294094771},{"$f":"H137+H144","v":29099.570105023995},{"$f":"I137+I144","v":15597.92702034266},{"$f":"J137+J144","v":39701.146500417984},{"$f":"K137+K144","v":11106.895304000747},{"$f":"SUM(G147:K147)","v":113556.46722388016},{"$f":"M137+M144","v":14993.955293087543},6709.3566292468204,10423.656970214637,5562.152543119164,763.12806193848292,1135.4682954151281,1616.1494261727089,{"$f":"SUM(L147:S147)","v":154760.33444307465},39789.405190946331,3805.4620684910574,1843.0554145325577,{"$f":"SUM(T147:W147)","v":200198.25711704459},null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"All Weekday trips into CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"R's \",AA107,\"+\",AA137,\"\")","v":"R's 107+137"},{"$f":"G107+G137","v":36263.416380183917},{"$f":"H107+H137","v":58459.587784637915},{"$f":"I107+I137","v":40422.447709865432},{"$f":"J107+J137","v":79757.627023886977},{"$f":"K107+K137","v":22313.199772216318},{"$f":"SUM(G149:K149)","v":237216.27867079058},{"$f":"M107+M137","v":30122.109795149663},13478.763481051548,20940.60797076895,11174.087579042387,1533.0862884503958,2281.09928266719,3246.7637463868905,{"$f":"SUM(L149:S149)","v":319992.79681430763},{"$f":"U107+U137","v":79934.934339702202},{"$f":"V107+V137","v":7644.9838623442201},{"$f":"W107+W137","v":3702.6065817795838},{"$f":"SUM(T149:W149)","v":411275.32159813365},null,null,{"$f":"ROW()","v":149}]
[null,"All Weekday trips thru CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"R's \",AA127,\"+\",AA144,\"\")","v":"R's 127+144"},{"$f":"G127+G144","v":10488.856645695814},{"$f":"H127+H144","v":16908.893233087801},{"$f":"I127+I144","v":0},{"$f":"J127+J144","v":23069.153426800825},{"$f":"K127+K144","v":6453.8859566866449},{"$f":"SUM(G150:K150)","v":56920.789262271086},{"$f":"M127+M144","v":8712.5407103088874},3898.6072473647209,6056.8765164424549,3232.0011312301895,443.43098114233749,659.78679779244692,939.09628208398999,{"$f":"SUM(L150:S150)","v":80863.128928636128},{"$f":"U127+U144","v":23120.437922401608},{"$f":"V127+V144","v":2211.2406329869282},{"$f":"W127+W144","v":1070.9445917764599},{"$f":"T150+SUM(U150:W150)","v":107265.75207580112},null,null,{"$f":"ROW()","v":150}]
[null,"All Wkday trips into+thru CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"R's \",AA149,\"+\",AA150,\"\")","v":"R's 149+150"},{"$f":"G149+G150","v":46752.273025879731},{"$f":"H149+H150","v":75368.481017725717},{"$f":"I149+I150","v":40422.447709865432},{"$f":"J149+J150","v":102826.7804506878},{"$f":"K149+K150","v":28767.085728902963},{"$f":"SUM(G151:K151)","v":294137.06793306163},{"$f":"M149+M150","v":38834.65050545855},17377.37072841627,26997.484487211404,14406.088710272576,1976.5172695927333,2940.886080459637,4185.8600284708809,{"$f":"SUM(L151:S151)","v":400855.9257429436},{"$f":"U149+U150","v":103055.3722621038},{"$f":"V149+V150","v":9856.2244953311492},{"$f":"W149+W150","v":4773.551173556044},{"$f":"SUM(T151:W151)","v":518541.07367393462},null,null,{"$f":"ROW()","v":151}]
[null,"Same as previous row, per year ( x 1,000)",null,null,null,null,{"$f":"G151*weekday_per_yr/1000","v":11688.068256469933},{"$f":"H151*weekday_per_yr/1000","v":18842.120254431429},{"$f":"I151*weekday_per_yr/1000","v":10105.611927466358},{"$f":"J151*weekday_per_yr/1000","v":25706.69511267195},{"$f":"K151*weekday_per_yr/1000","v":7191.7714322257407},{"$f":"SUM(G152:K152)","v":73534.266983265406},{"$f":"M151*weekday_per_yr/1000","v":9708.6626263646376},4344.3426821040675,6749.3711218028511,3601.5221775681439,494.12931739818333,735.22152011490925,1046.4650071177202,{"$f":"SUM(L152:S152)","v":100213.9814357359},{"$f":"U151*weekday_per_yr/1000","v":25763.843065525951},{"$f":"V151*weekday_per_yr/1000","v":2464.0561238327873},{"$f":"W151*weekday_per_yr/1000","v":1193.387793389011},{"$f":"SUM(T152:W152)","v":129635.26841848365},null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.",{"$f":"L92","v":149034.21574911429},"Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",204289.98014650497,"NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":153}]
[null,"E. Weekend/Holiday Work Trips into (not through) Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"No. autos driven to CBD for regular commuting (SOV + carpool)",null,null,null,null,{"$f":"G134*$X$155","v":8364.1640883556865},{"$f":"H134*$X$155","v":13483.715368735628},{"$f":"I134*$X$155","v":9323.4454788723706},{"$f":"J134*$X$155","v":18396.112289359513},{"$f":"K134*$X$155","v":5146.5438963181177},{"$f":"SUM(G155:K155)","v":54713.981121641315},{"$f":"M134*$X$155","v":6947.6705220684462},3108.8794360052975,4829.9553285649972,2577.3054879583756,353.60665260470074,526.13599617946591,748.86669381056993,{"$f":"SUM(L155:S155)","v":73806.40123883319},{"$f":"U134*$X$155","v":18437.008256468529},{"$f":"V134*$X$155","v":1763.3170247142052},{"$f":"W134*$X$155","v":854.00693304653089},{"$f":"'Motor Vs Weekends'!I76/'Motor Vs'!I76*X92","v":94860.733453062421},null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"Each column is calculated as product of county or state share of weekday work trips from Row \",AA134,\" and Total in Row \",AA155, \". Total is calculated by prorating weekend to weekday work trips into CBD in respective tabs' Row \",'Motor Vs'!O76, \" by total autos used by regular car commuters into CBD from Cell X\",AA92, \" of this tab.\")","v":"Each column is calculated as product of county or state share of weekday work trips from Row 134 and Total in Row 155. Total is calculated by prorating weekend to weekday work trips into CBD in respective tabs' Row 76 by total autos used by regular car commuters into CBD from Cell X92 of this tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Est'd % of weekdays that these \"regular\" autos are driven into CBD",null,null,null,null,null,null,null,"For NYC:",{"$f":"K97*$M$160","v":0.72249999999999992},null,"Komanoff assumptions.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,"For remainder of MTA 12-county region:",{"$f":"K98*$M$160","v":0.68},null,{"$f":"CONCATENATE(\"Calculated by attenuating percentages for weekday commuters in Rows \",AA97, \"-\",AA100,\" by % factor directly below:\")","v":"Calculated by attenuating percentages for weekday commuters in Rows 97-100 by % factor directly below:"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,"For NJ + CT:",{"$f":"K99*$M$160","v":0.68},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,"For 'Other':",{"$f":"K100*$M$160","v":0.29749999999999999},null,0.85,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"No. of autos driven to CBD for commuting on typical weekday",null,null,null,null,{"$f":"$K157*G155","v":6043.1085538369825},{"$f":"$K157*H155","v":9741.98435391149},{"$f":"$K157*I155","v":6736.1893584852869},{"$f":"$K157*J155","v":13291.191129062247},{"$f":"$K157*K155","v":3718.3779650898396},{"$f":"SUM(G161:K161)","v":39530.851360385845},{"$f":"$K158*M155","v":4724.4159550065433},2114.0380164836024,3284.3696234241984,1752.5677318116955,240.45252377119652,357.77247740203683,509.22935179118758,{"$f":"SUM(L161:S161)","v":52513.697040076309},{"$f":"$K159*U155","v":12537.1656143986},{"$f":"$K159*V155","v":1199.0555768056597},{"$f":"$K160*W155","v":254.06706258134292},{"$f":"SUM(T161:W161)","v":66503.985293861915},null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Rows \",AA157, \"-\",AA160, \" and number of autos in Row \",AA155, \".\")","v":"Product of estimated % in Rows 157-160 and number of autos in Row 155."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Factor by which thru-CBD-commute autos are supplemented by other, less regular thru-CBD work trips, weekends",null,null,null,null,null,null,null,null,0.35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption. Is set at higher level than corresponding percentage, \",100*J103, \"%, for weekday work trips in Row \",AA103, \", to reflect more episodic nature of weekend work trips.\")","v":"Komanoff assumption. Is set at higher level than corresponding percentage, 15%, for weekday work trips in Row 103, to reflect more episodic nature of weekend work trips."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Additional CBD-commute autos",null,null,null,null,{"$f":"$K163*G161","v":2115.0879938429439},{"$f":"$K163*H161","v":3409.6945238690214},{"$f":"$K163*I161","v":2357.6662754698505},{"$f":"$K163*J161","v":4651.9168951717857},{"$f":"$K163*K161","v":1301.4322877814438},{"$f":"SUM(G165:K165)","v":13835.797976135043},{"$f":"$K163*M161","v":1653.5455842522902},739.91330576926077,1149.5293681984695,613.39870613409335,84.158383319918784,125.22036709071288,178.23027312691565,{"$f":"SUM(L165:S165)","v":18379.793964026703},{"$f":"$K163*U161","v":4388.0079650395101},{"$f":"$K163*V161","v":419.66945188198088},{"$f":"$K163*W161","v":88.923471903470016},{"$f":"SUM(T165:W165)","v":23276.394852851663},null,null,{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"Product of % specified in Row \",AA163, \" and number of autos in Row \",AA161, \".\")","v":"Product of % specified in Row 163 and number of autos in Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Total CBD-commuter autos",null,null,null,null,{"$f":"G161+G165","v":8158.1965476799269},{"$f":"H161+H165","v":13151.678877780512},{"$f":"I161+I165","v":9093.8556339551378},{"$f":"J161+J165","v":17943.108024234032},{"$f":"K161+K165","v":5019.8102528712834},{"$f":"SUM(G167:K167)","v":53366.649336520895},{"$f":"M161+M165","v":6377.961539258833},2853.9513222528631,4433.8989916226674,2365.966437945789,324.61090709111534,482.99284449274973,687.45962491810326,{"$f":"SUM(L167:S167)","v":70893.491004103009},{"$f":"U161+U165","v":16925.173579438109},{"$f":"V161+V165","v":1618.7250286876406},{"$f":"W161+W165","v":342.99053448481294},{"$f":"SUM(T167:W167)","v":89780.380146713564},null,null,{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA161, \" and \",AA165, \".\")","v":"Sum of Rows 161 and 165."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,{"$f":"G132","v":"Bronx"},{"$f":"H132","v":"Brooklyn"},"Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":169}]
[null,"F. Weekend/Holiday Work Trips through Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"No. of autos driven through CBD for commuting regularly",null,null,null,null,{"$f":"G141*$X$171","v":2964.2967875587856},{"$f":"H141*$X$171","v":4778.688429552044},{"$f":"I141*$X$171","v":0},{"$f":"J141*$X$171","v":6519.6636492146426},{"$f":"K141*$X$171","v":1823.957944599008},{"$f":"SUM(G171:K171)","v":16086.606810924479},{"$f":"M141*$X$171","v":2462.285195750283},1101.8006375422242,1711.7575544040199,913.40847666399281,125.31976337417778,186.46492665837206,265.40167210048662,{"$f":"SUM(L171:S171)","v":22853.045037418036},{"$f":"U141*$X$171","v":6534.157361036262},{"$f":"V141*$X$171","v":624.92736113162641},{"$f":"W141*$X$171","v":302.66383842314565},{"$f":"'Motor Vs Weekends'!I73/'Motor Vs'!I73*X115","v":30314.793598009073},null,null,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"Each column is calculated as product of county or state share of weekday work thru-trips from Row \",AA141,\" and Total in Row \",AA171, \". Total is calculated by prorating weekend to weekday work trips into CBD in respective tabs' Row \",'Motor Vs'!O73, \" by total work trips into CBD in this tab, Row \",AA115, \".\")","v":"Each column is calculated as product of county or state share of weekday work thru-trips from Row 141 and Total in Row 171. Total is calculated by prorating weekend to weekday work trips into CBD in respective tabs' Row 73 by total work trips into CBD in this tab, Row 115."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Est'd % of weekdays that these autos are driven through CBD",null,null,null,null,null,null,null,"For NYC:",{"$f":"K157","v":0.72249999999999992},null,{"$f":"CONCATENATE(\"Komanoff assumptions. Each cell is same as value in corresponding cell, \",AA305-AA271, \" rows above.\")","v":"Komanoff assumptions. Each cell is same as value in corresponding cell, 34 rows above."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,"For remainder of MTA 12-county region:",{"$f":"K158","v":0.68},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,"For NJ + CT:",{"$f":"K159","v":0.68},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,"For 'Other':",{"$f":"K160","v":0.29749999999999999},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"No. of autos driven thru CBD for commuting on typical weekday",null,null,null,null,{"$f":"$K173*G171","v":2141.7044290112221},{"$f":"$K173*H171","v":3452.6023903513515},{"$f":"$K173*I171","v":0},{"$f":"$K173*J171","v":4710.4569865575786},{"$f":"$K173*K171","v":1317.809614972783},{"$f":"SUM(G177:K177)","v":11622.573420892935},{"$f":"$K174*M171","v":1674.3539331101927},749.22443352871255,1163.9951369947337,621.11776413151517,85.217439094440891,126.79615012769301,180.47313702833091,{"$f":"SUM(L177:S177)","v":16223.751414908555},{"$f":"$K175*U171","v":4443.2270055046583},{"$f":"$K175*V171","v":424.95060556950597},{"$f":"$K176*W171","v":90.042491930885831},{"$f":"SUM(T177:W177)","v":21181.971517913604},null,null,{"$f":"ROW()","v":177}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Rows \",AA173, \"-\",AA176, \" and number of autos in Row \",AA171, \".\")","v":"Product of estimated % in Rows 173-176 and number of autos in Row 171."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Factor by which thru-CBD-commute autos are supplemented by other, less regular thru-CBD work trips",null,null,null,null,null,null,null,{"$f":"K163","v":0.35},null,null,null,null,"`",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, chosen to match percentage in Row \",AA163, \".\")","v":"Komanoff assumption, chosen to match percentage in Row 163."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Additional through-CBD-commute autos",null,null,null,null,{"$f":"$J179*G177","v":749.59655015392775},{"$f":"$J179*H177","v":1208.410836622973},{"$f":"$J179*I177","v":0},{"$f":"$J179*J177","v":1648.6599452951525},{"$f":"$J179*K177","v":461.23336524047403},{"$f":"SUM(G181:K181)","v":4067.900697312527},{"$f":"$J179*M177","v":586.02387658856742},262.22855173504939,407.39829794815677,217.39121744603031,29.82610368305431,44.378652544692549,63.165597959915814,{"$f":"SUM(L181:S181)","v":5678.3129952179934},{"$f":"$J179*U177","v":1555.1294519266303},{"$f":"$J179*V177","v":148.73271194932707},{"$f":"$J179*W177","v":31.514872175810037},{"$f":"SUM(T181:W181)","v":7413.6900312697608},null,null,{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Product of estimated % in Row \",AA179, \" and number of autos in Row \",AA177, \".\")","v":"Product of estimated % in Row 179 and number of autos in Row 177."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Total through-CBD-commuter autos",null,null,null,null,{"$f":"G177+G181","v":2891.3009791651498},{"$f":"H177+H181","v":4661.0132269743244},{"$f":"I177+I181","v":0},{"$f":"J177+J181","v":6359.1169318527309},{"$f":"K177+K181","v":1779.0429802132571},{"$f":"SUM(G183:K183)","v":15690.47411820546},{"$f":"M177+M181","v":2260.3778096987598},1011.452985263762,1571.3934349428905,838.50898157754546,115.0435427774952,171.17480267238557,243.63873498824671,{"$f":"SUM(L183:S183)","v":21902.064410126542},{"$f":"U177+U181","v":5998.3564574312886},{"$f":"V177+V181","v":573.68331751883306},{"$f":"W177+W181","v":121.55736410669587},{"$f":"SUM(T183:W183)","v":28595.661549183358},null,null,{"$f":"ROW()","v":183}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA177, \" and \",AA181, \".\")","v":"Sum of Rows 177 and 181."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"E. + F. Weekend Work Trips into or thru CBD",null,null,null,null,{"$f":"G183+G167","v":11049.497526845076},{"$f":"H183+H167","v":17812.692104754839},{"$f":"I183+I167","v":9093.8556339551378},{"$f":"J183+J167","v":24302.224956086764},{"$f":"K183+K167","v":6798.853233084541},{"$f":"SUM(G186:K186)","v":69057.123454726359},{"$f":"M183+M167","v":8638.3393489575938},3865.4043075166251,6005.2924265655583,3204.4754195233345,439.65444986861053,654.16764716513535,931.09835990634997,{"$f":"SUM(L186:S186)","v":92795.555414229573},{"$f":"U183+U167","v":22923.530036869397},{"$f":"V183+V167","v":2192.4083462064737},{"$f":"W183+W167","v":464.54789859150878},{"$f":"SUM(T186:W186)","v":118376.04169589696},null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,{"$f":"G132","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":187}]
[null,"G. Weekend Non-Work Trips into Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Each county or state's share of into-CBD Work Trips",null,null,null,null,{"$f":"G134","v":8.8173091055576941E-2},{"$f":"H134","v":0.1421422213165518},{"$f":"I134","v":9.8285614494912799E-2},{"$f":"J134","v":0.19392757803693353},{"$f":"K134","v":5.4253680200192153E-2},{"$f":"SUM(G189:K189)","v":0.57678218510416723},{"$f":"M134","v":7.3240742182392987E-2},3.2773090854748527E-2,5.0916276448093073E-2,2.7169360747496641E-2,3.7276398751404038E-3,5.546404471348524E-3,7.8943801776644815E-3,{"$f":"SUM(L189:S189)","v":0.7780500798610519},{"$f":"U134","v":0.19435869390142607},{"$f":"V134","v":1.8588481877875249E-2},{"$f":"W134","v":9.0027443596469546E-3},{"$f":"SUM(T189:W189)","v":1.0000000000000002},null,null,{"$f":"ROW()","v":189}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA134, \".\")","v":"Copied from Row 134."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Total Non-Work Trips into Manhattan CBD",null,null,null,null,{"$f":"'Motor Vs Weekends'!J85","v":239300},{"$f":"CONCATENATE(\"Figure in cell at left is all weekend non-work trips into CBD, even though it appears in Bronx column. It is taken directly from Cell J\",'Motor Vs'!O90, \" of 'Motor Vs Weekends' worksheet.\")","v":"Figure in cell at left is all weekend non-work trips into CBD, even though it appears in Bronx column. It is taken directly from Cell J90 of 'Motor Vs Weekends' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Each county / state's non-work trips into CBD",null,null,null,null,{"$f":"G$189*$G191","v":21099.820689599561},{"$f":"H$189*$G191","v":34014.633561050847},{"$f":"I$189*$G191","v":23519.747548632633},{"$f":"J$189*$G191","v":46406.869424238197},{"$f":"K$189*$G191","v":12982.905671905983},{"$f":"SUM(G192:K192)","v":138023.97689542721},{"$f":"M$189*$G191","v":17526.509604246643},7842.6006415413221,12184.264954028673,6501.6280268759465,892.02422212109866,1327.2545899937018,1889.1251765151105,{"$f":"SUM(L192:S192)","v":186187.38411074976},{"$f":"U$189*$G191","v":46510.035450611256},{"$f":"V$189*$G191","v":4448.223713375547},{"$f":"W$189*$G191","v":2154.3567252635162},{"$f":"SUM(T192:W192)","v":239300.00000000009},null,null,{"$f":"ROW()","v":192}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",AA189, \" and number of trips in Row \",AA191, \".\")","v":"Product of % in Row 189 and number of trips in Row 191."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"H. Weekend Non-Work Trips through Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Each county or state's share of thru-CBD Work Trips",null,null,null,null,{"$f":"G141","v":9.7783835406138678E-2},{"$f":"H141","v":0.15763552583996102},{"$f":"I141","v":0},{"$f":"J141","v":0.2150654144530551},{"$f":"K141","v":6.0167255920845084E-2},{"$f":"SUM(G196:K196)","v":0.53065203161999985},{"$f":"M141","v":8.1223881264096548E-2},3.6345312198153477E-2,5.6466079799284523E-2,3.0130783299279366E-2,4.1339474395236577E-3,6.150954848348965E-3,8.7548566425969965E-3,{"$f":"SUM(L196:S196)","v":0.75385784711128334},{"$f":"U141","v":0.21554352134745833},{"$f":"V141","v":2.0614600561643558E-2},{"$f":"W141","v":9.9840309796146234E-3},{"$f":"SUM(T196:W196)","v":0.99999999999999989},null,null,{"$f":"ROW()","v":196}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA141, \".\")","v":"Copied from Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Total Non-Work Trips through Manhattan CBD",null,null,null,null,{"$f":"'Motor Vs Weekends'!J77","v":76466.823529411777},{"$f":"CONCATENATE(\"Figure in cell at left is all weekend non-work trips through CBD, even though it appears in Bronx column. It is taken directly from Cell J\",'Motor Vs'!O77, \" of 'Motor Vs Weekends' worksheet.\")","v":"Figure in cell at left is all weekend non-work trips through CBD, even though it appears in Bronx column. It is taken directly from Cell J77 of 'Motor Vs Weekends' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Each county / state's non-work trips through CBD",null,null,null,null,{"$f":"G$141*$G198","v":7477.219286030253},{"$f":"H$141*$G198","v":12053.887936370329},{"$f":"I$141*$G198","v":0},{"$f":"J$141*$G198","v":16445.369094261569},{"$f":"K$141*$G198","v":4600.7989407482173},{"$f":"SUM(G199:K199)","v":40577.275257410372},{"$f":"M$141*$G198","v":6210.9321949955665},2779.2105739775793,4317.7817594095732,2304.0052893489428,316.10982933791922,470.34397892608007,669.456077914763,{"$f":"SUM(L199:S199)","v":57645.114961320804},{"$f":"U$141*$G198","v":16481.928409784097},{"$f":"V$141*$G198","v":1576.3330232765109},{"$f":"W$141*$G198","v":763.44713503037156},{"$f":"SUM(T199:W199)","v":76466.823529411777},null,null,{"$f":"ROW()","v":199}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",AA141, \" and number of trips in Row \",AA198, \".\")","v":"Product of % in Row 141 and number of trips in Row 198."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,{"$f":"G169","v":"Bronx"},{"$f":"H169","v":"Brooklyn"},"Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":201}]
[null,"G. + H. Weekend Non-Work Trips into or thru CBD",null,null,null,null,{"$f":"G192+G199","v":28577.039975629814},{"$f":"H192+H199","v":46068.521497421178},{"$f":"I192+I199","v":23519.747548632633},{"$f":"J192+J199","v":62852.238518499769},{"$f":"K192+K199","v":17583.704612654201},{"$f":"SUM(G202:K202)","v":178601.25215283761},{"$f":"M192+M199","v":23737.44179924221},10621.811215518901,16502.046713438245,8805.6333162248884,1208.1340514590179,1797.5985689197819,2558.5812544298733,{"$f":"SUM(L202:S202)","v":243832.49907207052},62991.96386039535,6024.5567366520581,2917.8038602938877,{"$f":"SUM(T202:W202)","v":315766.82352941181},null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"All Weekend trips into CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"Rows \",AA167,\"+\",AA192,\"\")","v":"Rows 167+192"},{"$f":"G167+G192","v":29258.017237279488},{"$f":"H167+H192","v":47166.312438831359},{"$f":"I167+I192","v":32613.603182587773},{"$f":"J167+J192","v":64349.977448472229},{"$f":"K167+K192","v":18002.715924777265},{"$f":"SUM(G204:K204)","v":191390.62623194812},{"$f":"M167+M192","v":23904.471143505478},10696.551963794185,16618.16394565134,8867.5944648217355,1216.635129212214,1810.2474344864515,2576.5848014332137,{"$f":"SUM(L204:S204)","v":257080.87511485277},{"$f":"U167+U192","v":63435.209030049366},{"$f":"V167+V192","v":6066.9487420631876},{"$f":"W167+W192","v":2497.3472597483292},{"$f":"SUM(T204:W204)","v":329080.38014671364},null,null,{"$f":"ROW()","v":204}]
[null,"All Weekend trips thru CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"Rows \",AA183,\"+\",AA199,\"\")","v":"Rows 183+199"},{"$f":"G183+G199","v":10368.520265195402},{"$f":"H183+H199","v":16714.901163344653},{"$f":"I183+I199","v":0},{"$f":"J183+J199","v":22804.4860261143},{"$f":"K183+K199","v":6379.8419209614749},{"$f":"SUM(G205:K205)","v":56267.749375615829},{"$f":"M183+M199","v":8471.3100046943255},3790.6635592413413,5889.1751943524632,3142.5142709264883,431.15337211541441,641.51878159846569,913.09481290300971,{"$f":"SUM(L205:S205)","v":79547.179371447332},{"$f":"U183+U199","v":22480.284867215385},{"$f":"V183+V199","v":2150.0163407953441},{"$f":"W183+W199","v":885.00449913706746},{"$f":"T205+SUM(U205:W205)","v":105062.48507859513},null,null,{"$f":"ROW()","v":205}]
[null,"All Wkend trips into+thru CBD (autos only)",null,null,null,{"$f":"CONCATENATE(\"R's \",AA204,\"+\",AA205,\"\")","v":"R's 204+205"},{"$f":"G204+G205","v":39626.537502474894},{"$f":"H204+H205","v":63881.213602176009},{"$f":"I204+I205","v":32613.603182587773},{"$f":"J204+J205","v":87154.463474586533},{"$f":"K204+K205","v":24382.557845738738},{"$f":"SUM(G206:K206)","v":247658.37560756397},{"$f":"M204+M205","v":32375.781148199803},14487.215523035527,22507.339140003802,12010.108735748225,1647.7885013276284,2451.7662160849172,3489.6796143362235,{"$f":"SUM(L206:S206)","v":336628.0544863001},{"$f":"U204+U205","v":85915.493897264751},{"$f":"V204+V205","v":8216.9650828585327},{"$f":"W204+W205","v":3382.3517588853965},{"$f":"SUM(T206:W206)","v":434142.86522530875},null,null,{"$f":"ROW()","v":206}]
[null,"Same as previous row, per year ( x 1,000)",null,null,null,null,{"$f":"G206*wkend_per_yr/1000","v":4557.0518127846135},{"$f":"H206*wkend_per_yr/1000","v":7346.339564250241},{"$f":"I206*wkend_per_yr/1000","v":3750.564365997594},{"$f":"J206*wkend_per_yr/1000","v":10022.763299577453},{"$f":"K206*wkend_per_yr/1000","v":2803.9941522599547},{"$f":"SUM(G207:K207)","v":28480.713194869859},{"$f":"M206*wkend_per_yr/1000","v":3723.2148320429774},1666.0297851490855,2588.3440011004373,1381.1625046110457,189.49567765267727,281.95311484976548,401.31315564866566,{"$f":"SUM(L207:S207)","v":38712.226265924495},{"$f":"U206*wkend_per_yr/1000","v":9880.2817981854478},{"$f":"V206*wkend_per_yr/1000","v":944.95098452873117},{"$f":"W206*wkend_per_yr/1000","v":388.97045227182065},{"$f":"SUM(T207:W207)","v":49926.429500910497},null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"All auto trips to/thru CBD, per yr (x 1,000)",null,null,null,{"$f":"CONCATENATE(\"Rows \",AA152,\"+\",AA207,\"\")","v":"Rows 152+207"},{"$f":"G152+G207","v":16245.120069254546},{"$f":"H152+H207","v":26188.459818681669},{"$f":"I152+I207","v":13856.176293463952},{"$f":"J152+J207","v":35729.458412249405},{"$f":"K152+K207","v":9995.7655844856963},{"$f":"SUM(G209:K209)","v":102014.98017813527},{"$f":"M152+M207","v":13431.877458407615},6010.3724672531534,9337.7151229032879,4982.6846821791896,683.62499505086066,1017.1746349646747,1447.7781627663858,{"$f":"SUM(L209:S209)","v":138926.20770166046},{"$f":"U152+U207","v":35644.124863711397},{"$f":"V152+V207","v":3409.0071083615185},{"$f":"W152+W207","v":1582.3582456608317},{"$f":"SUM(T209:W209)","v":179561.69791939421},null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Autos Part 2: Calculate Revenue from Trips to and through Manhattan Central Business District, by county/state of origin",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Individual County/State %'s of weekday auto trips",null,null,null,null,{"$f":"G151/$X151","v":9.0161176036901894E-2},{"$f":"H151/$X151","v":0.14534717661559515},{"$f":"I151/$X151","v":7.7954186779201198E-2},{"$f":"J151/$X151","v":0.19830016496503539},{"$f":"K151/$X151","v":5.5476966414799538E-2},{"$f":"SUM(G213:K213)","v":0.56723967081153315},{"$f":"M151/$X$151","v":7.4892139653103512E-2},3.3512042942510256E-2,5.2064312467921828E-2,2.778196259016371E-2,3.81168892868763E-3,5.6714621652303376E-3,8.0723789126548613E-3,{"$f":"SUM(L213:S213)","v":0.7730456584718054},{"$f":"U151/$X$151","v":0.19874100142529186},{"$f":"V151/$X$151","v":1.9007606139082575E-2},{"$f":"W151/$X$151","v":9.2057339638204148E-3},{"$f":"SUM(T213:W213)","v":1.0000000000000002},null,null,{"$f":"ROW()","v":213}]
[null,"Individual County/State %'s of weekend auto trips",null,null,null,null,{"$f":"G202/$X202","v":9.0500451112046715E-2},{"$f":"H202/$X202","v":0.14589411573546823},{"$f":"I202/$X202","v":7.4484543011029497E-2},{"$f":"J202/$X202","v":0.19904636534004166},{"$f":"K202/$X202","v":5.5685725359353289E-2},{"$f":"SUM(G214:K214)","v":0.56561120055793945},{"$f":"M202/$X202","v":7.517395758655819E-2},3.3638148228480824E-2,5.2260229649810495E-2,2.7886505674668181E-2,3.8260322536591224E-3,5.692803787388216E-3,8.1027551464460824E-3,{"$f":"SUM(L214:S214)","v":0.77219163288495063},{"$f":"U202/$X202","v":0.19948886066090482},{"$f":"V202/$X202","v":1.9079131459454626E-2},{"$f":"W202/$X202","v":9.2403749946900655E-3},{"$f":"SUM(T214:W214)","v":1},null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Weekday row uses trip figures in Row \",AA151, \". Weekend row uses Row \",AA202, \".\")","v":"Weekday row uses trip figures in Row 151. Weekend row uses Row 202."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"% of wkday auto trips that have a thru-CBD component",null,null,null,null,{"$f":"G150/G151","v":0.22434966188466826},0.22434966188466823,0,0.22434966188466826,0.22434966188466826,0.19351790531625501,0.22434966188466826,0.22434966188466823,0.22434966188466826,0.22434966188466829,0.22434966188466829,0.22434966188466829,0.22434966188466826,0.20172616577580826,0.22434966188466826,0.22434966188466823,0.22434966188466826,0.20686066643826026,null,"Shares of CBD-xing trips using NJ tunnels (top fig) or E Riv tunnels (bottom), from Motor Vs wksheet.",{"$f":"ROW()","v":217}]
[null,"% of wkend auto trips that have a thru-CBD component",null,null,null,null,{"$f":"G205/G206","v":0.26165597396814777},0.26165597396814777,0,0.26165597396814777,0.26165597396814788,0.22719905691692385,0.26165577182267791,0.26165577182267791,0.26165577182267796,0.26165577182267791,0.26165577182267796,0.26165577182267796,0.26165577182267796,0.23630585244250549,0.26165577182267796,0.26165577182267796,0.26165359555290829,0.24199979659707285,null,null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"Weekdays: Ratio of Row \",AA150,\" to Row \",AA151,\". Weekends: Ratio of Row \",AA205,\" to Row \",AA206,\".\")","v":"Weekdays: Ratio of Row 150 to Row 151. Weekends: Ratio of Row 205 to Row 206."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,{"$f":"CONCATENATE(\"2x4 matrix below pivots off tolls in 'Motor Vs' & 'Motor Vs Wknds' tabs, Rows \",'Motor Vs'!O282, \", \",'Motor Vs'!O305, \" and \",'Motor Vs'!O308,\".\")","v":"2x4 matrix below pivots off tolls in 'Motor Vs' & 'Motor Vs Wknds' tabs, Rows 282, 305 and 308."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,{"$f":"G201","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":222}]
[null,"Splits: Est'd % trips entering or re-entering CBD from each borough or county that are currently tolled (shown in 5x17 array below to right)",null,null,null,null,"Mostly 60th St., some Trib Br","E Riv bridges, plus BBT + tiny QMT","60th St.","QMT, all E Riv bridges, Trib, BBT","BBT, ER br's, tiny QMT, Holl. Tunnel?",null,"QMT, all E Riv bridges, Trib, BBT","QMT, all E Riv bridges, Trib, BBT","Mostly 60th St., some Trib Br","60th St., some PA tunnels","Mostly 60th St., some Trib Br","Mostly 60th St., some Trib Br","60th St., some PA tunnels",null,"PA tunnels, 60 St after GWB, BBT, ER br's","60th St., + Trib Br","?",null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,"Discount off CBD toll",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,null,"(if new toll is a \"true-up\")",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Weekday wghtd avg","Weekend wghtd avg",null,{"$f":"ROW()","v":225}]
[null,null,null,null,"from Peak","from Off-Pk",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"%'s in 5x17 array show % of trips into CBD from each borough/county that now (pre-plans) employ tolled crossing shown",null,"via Lincoln",1,1,0.01,0.02,0.03,0.02,0,null,0,0,0.01,0.02,0,0,0.02,null,0.35,0,0.1,{"$f":"SUMPRODUCT($G$213:$W$213,G227:W227)","v":8.1830838045327453E-2},{"$f":"SUMPRODUCT($G$214:$W$214,G227:W227)","v":8.2025876666667635E-2},null,{"$f":"ROW()","v":227}]
[null,null,null,"via Holland",1,1,0.01,0.04,0.03,0.02,0.05,null,0,0,0.01,0.01,0,0,0.01,null,0.2,0,0.1,{"$f":"SUMPRODUCT($G$213:$W$213,G228:W228)","v":5.7341936269557373E-2},{"$f":"SUMPRODUCT($G$214:$W$214,G228:W228)","v":5.74448235419978E-2},{"$f":"'Motor Vs'!K298","v":0.14334935358911405},{"$f":"ROW()","v":228}]
[null,null,null,"via BBT",1,1,0.01,0.14000000000000001,0.02,0.02,0.1,null,0.05,0.05,0.01,0,0,0,0,null,0,0,0,{"$f":"SUMPRODUCT($G$213:$W$213,G229:W229)","v":3.826385241737694E-2},{"$f":"SUMPRODUCT($G$214:$W$214,G229:W229)","v":3.8332579004292835E-2},null,{"$f":"ROW()","v":229}]
[null,null,null,"via QMT",1,1,0.01,0.03,0.02,0.2,0,null,0.12,0.12,0.02,0,0,0.01,0,null,0,0.01,0.01,{"$f":"SUMPRODUCT($G$213:$W$213,G230:W230)","v":6.0869779970941403E-2},{"$f":"SUMPRODUCT($G$214:$W$214,G230:W230)","v":6.1023572304629667E-2},{"$f":"'Motor Vs'!J298","v":9.9508381677708299E-2},{"$f":"ROW()","v":230}]
[null,"2x4 array in deep green was hardwired @ 100% 10/30/18",null,"Totals","(not used in any calc's)",null,{"$f":"SUM(G227:G230)","v":0.04},{"$f":"SUM(H227:H230)","v":0.23},{"$f":"SUM(I227:I230)","v":0.1},{"$f":"SUM(J227:J230)","v":0.26},{"$f":"SUM(K227:K230)","v":0.15000000000000002},null,{"$f":"SUM(M227:M230)","v":0.16999999999999998},0.16999999999999998,0.15,0.03,0.02,0.01,0.03,null,{"$f":"SUM(U227:U230)","v":0.55000000000000004},{"$f":"SUM(V227:V230)","v":0.01},{"$f":"SUM(W227:W230)","v":0.21000000000000002},null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,"%'s in 2x14 array below are sums of cross-products of 4-cell vectors in Col. E (for peak) or F (off-peak) and corresponding %'s in borough/county's own column.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"Anticipated discount from cordon toll, avg'd across trips originating in each borough or county",null,null,null,"Peak trips",{"$f":"G$231","v":0.04},{"$f":"H$231","v":0.23},0.1,0.26,0.15000000000000002,0,0.16999999999999998,0.16999999999999998,0.15,0.03,0.02,0.01,0.03,0,{"$f":"U$231*IF('Policy Levers'!$K$54=\"FLAT\",(1-'Policy Levers'!$K$57/'Policy Levers'!$K$34),IF('Policy Levers'!$K$54=\"%\",1-'Policy Levers'!$K$58,IF('Policy Levers'!$K$54=\"FULL\",0,1)))","v":0.55000000000000004},0.01,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,"Off-pk trips",{"$f":"G$231","v":0.04},0.23,0.1,0.26,0.15000000000000002,0,0.16999999999999998,0.16999999999999998,0.15,0.03,0.02,0.01,0.03,0,{"$f":"U$231*IF('Policy Levers'!$K$54=\"FLAT\",(1-'Policy Levers'!$K$57/'Policy Levers'!$K$30),IF('Policy Levers'!$K$54=\"%\",1-'Policy Levers'!$K$58,IF('Policy Levers'!$K$54=\"FULL\",0,1)))","v":0.55000000000000004},0.01,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Tunnel figures in NJ column draw on \"rough guess\" by Sam Schwartz in 7-April-2013 e-mail to C. Komanoff: GWB takes 25% of Jersey drivers to CBD, Lincoln takes 35%, Holland 20% and Staten Island takes 20% inbound and probably 5% outbound with most of that traffic going to Holland outbound.",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cells U\",AA233, \" and U\",AA234, \" employ IF statements that draw on which (if any) tolls are charged for CBD-crossing trips using the Holland or Lincoln Tunnels. Cell U\",AA233, \" employs peak toll in a denominator for 'FLAT' option for tunnel toll, whereas Cell U\",AA234, \" employs off-peak toll as denominator.\")","v":"Cells U233 and U234 employ IF statements that draw on which (if any) tolls are charged for CBD-crossing trips using the Holland or Lincoln Tunnels. Cell U233 employs peak toll in a denominator for 'FLAT' option for tunnel toll, whereas Cell U234 employs off-peak toll as denominator."},null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,"Weekdays","Wknds/Hol","Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,"Toll-paying auto trips, average day (i.e., reflects toll)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Peak",null,{"$f":"SUM('Motor Vs'!I1079:L1079)","v":259884.57630126225},0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"Off-peak",null,{"$f":"SUM('Motor Vs'!G1079:M1079)-D238","v":116696.94334842416},{"$f":"SUM('Motor Vs Weekends'!G1079:M1079)","v":358420.36828982231},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,"Toll-paying auto trips per year (millions) (i.e., reflects toll)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Peak",null,{"$f":"D238*weekday_per_yr/1000000","v":64.971144075315564},{"$f":"E238*weekday_per_yr/1000000","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"Off-peak",null,{"$f":"D239*weekday_per_yr/1000000","v":29.174235837106043},{"$f":"E239*wkend_per_yr/1000000","v":41.218342353329561},{"$f":"D242+E242","v":70.3925781904356},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,{"$f":"G132","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Undiscnt'd round-trip (both ways) toll, peak, weekdays",null,null,null,null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+G$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+H$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+I$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":12.267614379084968},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+J$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+K$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+M$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+N$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+O$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+P$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+Q$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+R$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+S$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+U$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+V$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$34*(1+W$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$34)","v":14.469402489548333},null,null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Each figure reflects (1) two factors pertaining to through-trips: (i) % of trips into CBD that have a through-trip component, given in Row \",AA217, \"; and (ii) % of those trips that return via CBD and thus pay twice, given in 'Motor Vs' worksheet, Row \",'Motor Vs'!O57, \"; and an 'adder' capturing % of trips subject to cash surcharge along with surcharge cost.\")","v":"Each figure reflects (1) two factors pertaining to through-trips: (i) % of trips into CBD that have a through-trip component, given in Row 217; and (ii) % of those trips that return via CBD and thus pay twice, given in 'Motor Vs' worksheet, Row 57; and an 'adder' capturing % of trips subject to cash surcharge along with surcharge cost."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Undiscnt'd round-trip (both ways) toll, off-peak, weekdays",null,null,null,null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+G$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+H$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+I$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":2.762437908496734E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+J$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+K$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+M$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+N$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+O$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+P$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+Q$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+R$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+S$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+U$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+V$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$30*(1+W$217*'Motor Vs'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$30)","v":3.2582395170956395E-2},null,null,null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Same as Note in Row \",$AA$246, \", except that base toll is taken from Row \",'Policy Levers'!$O$30, \" of 'Policy Levers' tab instead of Row \",'Policy Levers'!$O$34, \".\")","v":"Same as Note in Row 246, except that base toll is taken from Row 30 of 'Policy Levers' tab instead of Row 34."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Undiscnt'd round-trip (both ways) toll, peak, weekends",null,null,"[oxymoron; shown anyway]",null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+G$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+H$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+I$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":12.267614379084968},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+J$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+K$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+M$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+N$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+O$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+P$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+Q$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+R$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+S$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+U$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+V$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$39*(1+W$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$39)","v":14.194178975740412},null,null,null,{"$f":"ROW()","v":249}]
[null,{"$f":"CONCATENATE(\"Same as Note in Row \",$AA$246,\", except that base toll is taken from Row \",'Policy Levers'!$O$39,\" of 'Policy Levers' tab instead of Row \",'Policy Levers'!$O$34,\", and that through-trip adder uses Cell I\",'Motor Vs Weekends'!O57,\" from 'Motor Vs Weekends' instead of same cell from 'Motor Vs'.\")","v":"Same as Note in Row 246, except that base toll is taken from Row 39 of 'Policy Levers' tab instead of Row 34, and that through-trip adder uses Cell I57 from 'Motor Vs Weekends' instead of same cell from 'Motor Vs'."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Undiscnt'd round-trip (both ways) toll, off-pk, weekends",null,null,null,null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+G$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+H$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+I$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":2.762437908496734E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+J$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+K$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+M$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+N$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+O$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+P$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+Q$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+R$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+S$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+U$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+V$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},{"$f":"'Policy Levers'!$K$27*'Policy Levers'!$K$37*(1+W$217*'Motor Vs Weekends'!$I$57)*(1+(1-Cordon!$J$110)*'Policy Levers'!$K$95/'Policy Levers'!$K$37)","v":3.1962643160207763E-2},null,null,null,{"$f":"ROW()","v":251}]
[null,{"$f":"CONCATENATE(\"Same as Note in Row \",$AA$250, \", except that base toll is taken from Row \",'Policy Levers'!$O$37, \" of 'Policy Levers' tab instead of Row \",'Policy Levers'!$O$39, \".\")","v":"Same as Note in Row 250, except that base toll is taken from Row 37 of 'Policy Levers' tab instead of Row 39."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Discounted round-trip (both ways) toll, peak, weekdays",null,null,null,null,{"$f":"G245*(1-G233)","v":13.8906263899664},{"$f":"H245*(1-H233)","v":11.141439916952217},{"$f":"I245*(1-I233)","v":11.040852941176471},{"$f":"J245*(1-J233)","v":10.707357842265766},{"$f":"K245*(1-K233)","v":12.298992116116082},null,{"$f":"M245*(1-M233)","v":12.009604066325117},12.009604066325117,12.298992116116082,14.035320414861882,14.180014439757366,14.324708464652849,14.035320414861882,null,{"$f":"U245*(1-U233)","v":6.511231120296749},{"$f":"V245*(1-V233)","v":14.324708464652849},{"$f":"W245*(1-W233)","v":14.469402489548333},null,null,null,{"$f":"ROW()","v":253}]
[null,{"$f":"CONCATENATE(\"Row \",AA253, \" figures take undiscounted peak toll from Row \",AA245, \", and reduce it by percentage in Row \",AA233, \".\")","v":"Row 253 figures take undiscounted peak toll from Row 245, and reduce it by percentage in Row 233."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Discounted round-trip (both ways) toll, off-pk, weekdays",null,null,null,null,{"$f":"G247*(1-G234)","v":3.1279099364118136E-2},{"$f":"H247*(1-H234)","v":2.5088444281636424E-2},{"$f":"I247*(1-I234)","v":2.4861941176470607E-2},{"$f":"J247*(1-J234)","v":2.4110972426507733E-2},{"$f":"K247*(1-K234)","v":2.7695035895312935E-2},null,{"$f":"M247*(1-M234)","v":2.7043387991893809E-2},2.7043387991893809E-2,2.7695035895312935E-2,3.1604923315827704E-2,3.1930747267537266E-2,3.2256571219246834E-2,3.1604923315827704E-2,null,{"$f":"U247*(1-U234)","v":1.4662077826930376E-2},{"$f":"V247*(1-V234)","v":3.2256571219246834E-2},{"$f":"W247*(1-W234)","v":3.2582395170956395E-2},null,null,null,{"$f":"ROW()","v":255}]
[null,{"$f":"CONCATENATE(\"Row \",AA255, \" figures take undiscounted off-peak toll from Row \",AA247, \", and reduce it by percentage in Row \",AA234, \".\")","v":"Row 255 figures take undiscounted off-peak toll from Row 247, and reduce it by percentage in Row 234."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"Discounted round-trip (both ways) toll, peak, weekends",null,null,"[oxymoron; shown anyway]",null,{"$f":"G249*(1-G233)","v":13.626411816710794},{"$f":"H249*(1-H233)","v":10.929517811320117},{"$f":"I249*(1-I233)","v":11.040852941176471},{"$f":"J249*(1-J233)","v":10.503692442047905},{"$f":"K249*(1-K233)","v":12.06505212937935},null,{"$f":"M249*(1-M233)","v":11.781168549864542},11.781168549864542,12.06505212937935,13.7683536064682,13.910295396225603,14.052237185983008,13.7683536064682,null,{"$f":"U249*(1-U233)","v":6.3873805390831846},{"$f":"V249*(1-V233)","v":14.052237185983008},{"$f":"W249*(1-W233)","v":14.194178975740412},null,null,null,{"$f":"ROW()","v":257}]
[null,{"$f":"CONCATENATE(\"Row \",AA257, \" figures take undiscounted peak toll from Row \",AA249, \", and reduce it by percentage in Row \",AA233, \".\")","v":"Row 257 figures take undiscounted peak toll from Row 249, and reduce it by percentage in Row 233."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Discounted round-trip (both ways) toll, off-pk, weekends",null,null,null,null,{"$f":"G251*(1-G234)","v":3.0684137433799451E-2},{"$f":"H251*(1-H234)","v":2.4611235233359979E-2},{"$f":"I251*(1-I234)","v":2.4861941176470607E-2},{"$f":"J251*(1-J234)","v":2.3652355938553745E-2},{"$f":"K251*(1-K234)","v":2.7168246686176598E-2},null,{"$f":"M251*(1-M234)","v":2.6528993822972444E-2},2.6528993822972444E-2,2.7168246686176598E-2,3.1003763865401528E-2,3.1323390297003609E-2,3.1643016728605686E-2,3.1003763865401528E-2,null,{"$f":"U251*(1-U234)","v":1.4383189422093491E-2},{"$f":"V251*(1-V234)","v":3.1643016728605686E-2},{"$f":"W251*(1-W234)","v":3.1962643160207763E-2},null,null,null,{"$f":"ROW()","v":259}]
[null,{"$f":"CONCATENATE(\"Row \",AA259, \" figures take undiscounted off-peak toll from Row \",AA251, \", and reduce it by percentage in Row \",AA234, \".\")","v":"Row 259 figures take undiscounted off-peak toll from Row 251, and reduce it by percentage in Row 234."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,{"$f":"G243","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":261}]
[null,"Auto Revenue from peak trips, weekdays, $ millions",null,null,null,null,{"$f":"G$213*$D$241*G253","v":81.369549706668934},{"$f":"H$213*$D$241*H253","v":105.21276568248733},{"$f":"I$213*$D$241*I253","v":55.919410566766899},{"$f":"J$213*$D$241*J253","v":137.95133477690982},{"$f":"K$213*$D$241*K253","v":44.330511508243234},{"$f":"SUM(G262:K262)","v":424.78357224107629},{"$f":"M$213*$D$241*M253","v":58.436667680920806},26.148700328380407,41.603529395801054,25.334116781385234,3.5116776060876655,5.2783884212925489,7.3611282648978875,{"$f":"SUM(L262:S262)","v":592.45778071984182},{"$f":"U$213*$D$241*U253","v":84.07581759960658},{"$f":"V$213*$D$241*V253","v":17.690240230483475},{"$f":"W$213*$D$241*W253","v":8.6542518941402005},{"$f":"SUM(T262:W262)","v":702.87809044407209},null,null,{"$f":"ROW()","v":262}]
[null,{"$f":"CONCATENATE(\"Product of (i) county share of tolled trips from Row \",$AA$213, \"; (ii) total peak weekday trips from Row \", AA241, \"; and (iii) discounted peak weekday toll from Row \",AA253, \".\")","v":"Product of (i) county share of tolled trips from Row 213; (ii) total peak weekday trips from Row 241; and (iii) discounted peak weekday toll from Row 253."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Auto Revenue from off-peak trips, weekdays, $ millions",null,null,null,null,{"$f":"G$213*$D$242*G255","v":8.2276024142563242E-2},{"$f":"H$213*$D$242*H255","v":0.10638485871685613},{"$f":"I$213*$D$242*I255","v":5.6542364931535853E-2},{"$f":"J$213*$D$242*J255","v":0.13948814257323611},{"$f":"K$213*$D$242*K255","v":4.4824363023425552E-2},{"$f":"SUM(G264:K264)","v":0.42951575338761688},{"$f":"M$213*$D$242*M255","v":5.908766483603059E-2},2.6440002522690024E-2,4.2067001738664227E-2,2.5616344338267059E-2,3.5507984564364312E-3,5.3371908133897266E-3,7.4431328306786195E-3,{"$f":"SUM(L264:S264)","v":0.59905788892377365},{"$f":"U$213*$D$242*U255","v":8.5012440446921064E-2},{"$f":"V$213*$D$242*V255","v":1.7887313344339587E-2},{"$f":"W$213*$D$242*W255","v":8.7506621376785797E-3},{"$f":"SUM(T264:W264)","v":0.71070830485271286},null,null,{"$f":"ROW()","v":264}]
[null,{"$f":"CONCATENATE(\"Product of (i) county share of tolled trips from Row \",$AA$213, \"; (ii) total off-peak weekday trips from Row \", AA242, \"; and (iii) discounted off-peak weekday toll from Row \",AA255, \".\")","v":"Product of (i) county share of tolled trips from Row 213; (ii) total off-peak weekday trips from Row 242; and (iii) discounted off-peak weekday toll from Row 255."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Total Auto Revenue from weekdays, $ millions",null,null,null,null,{"$f":"G262+G264","v":81.451825730811493},{"$f":"H262+H264","v":105.31915054120418},{"$f":"I262+I264","v":55.975952931698437},{"$f":"J262+J264","v":138.09082291948306},{"$f":"K262+K264","v":44.375335871266657},{"$f":"SUM(G266:K266)","v":425.21308799446382},{"$f":"M262+M264","v":58.495755345756834},26.175140330903098,41.64559639753972,25.359733125723501,3.5152284045441018,5.2837256121059388,7.3685713977285658,{"$f":"SUM(L266:S266)","v":593.0568386087657},{"$f":"U262+U264","v":84.160830040053497},{"$f":"V262+V264","v":17.708127543827814},{"$f":"W262+W264","v":8.6630025562778794},{"$f":"SUM(T266:W266)","v":703.58879874892489},null,null,{"$f":"ROW()","v":266}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA262, \" and \",AA264, \".\")","v":"Sum of Rows 262 and 264."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Auto Revenue from peak trips, weekends, $ millions",null,null,null,null,{"$f":"G$214*$E$241*G257","v":0},{"$f":"H$214*$E$241*H257","v":0},{"$f":"I$214*$E$241*I257","v":0},{"$f":"J$214*$E$241*J257","v":0},{"$f":"K$214*$E$241*K257","v":0},{"$f":"SUM(G268:K268)","v":0},{"$f":"M$214*$E$241*M257","v":0},0,0,0,0,0,0,{"$f":"SUM(L268:S268)","v":0},{"$f":"U$214*$E$241*U257","v":0},{"$f":"V$214*$E$241*V257","v":0},{"$f":"W$214*$E$241*W257","v":0},{"$f":"SUM(T268:W268)","v":0},null,null,{"$f":"ROW()","v":268}]
[null,{"$f":"CONCATENATE(\"Product of (i) county share of tolled trips from Row \",$AA$214, \"; (ii) total peak weekend trips from Row \", AA241, \" which may (under contemplated plan) be zero; and (iii) discounted peak weekend toll from Row \",AA257, \".\")","v":"Product of (i) county share of tolled trips from Row 214; (ii) total peak weekend trips from Row 241 which may (under contemplated plan) be zero; and (iii) discounted peak weekend toll from Row 257."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"Auto Revenue from off-peak trips, weekends, $ millions",null,null,null,null,{"$f":"G$214*$E$242*G259","v":0.11446038052508495},{"$f":"H$214*$E$242*H259","v":0.14799999802785066},{"$f":"I$214*$E$242*I259","v":7.6329376394298556E-2},{"$f":"J$214*$E$242*J259","v":0.19405247207868428},{"$f":"K$214*$E$242*K259","v":6.2358551010751315E-2},{"$f":"SUM(G270:K270)","v":0.59520077803666971},{"$f":"M$214*$E$242*M259","v":8.2201305568094268E-2},3.6782680998141665E-2,5.8522577831589789E-2,3.5636827996685286E-2,4.9397834512198433E-3,7.4249685470587174E-3,1.0354703268378979E-2,{"$f":"SUM(L270:S270)","v":0.8310636256978382},{"$f":"U$214*$E$242*U259","v":0.11826721556282484},{"$f":"V$214*$E$242*V259","v":2.4884390237633981E-2},{"$f":"W$214*$E$242*W259","v":1.2173705870736053E-2},{"$f":"SUM(T270:W270)","v":0.9863889373690331},null,null,{"$f":"ROW()","v":270}]
[null,{"$f":"CONCATENATE(\"Product of (i) county share of tolled trips from Row \",$AA$214, \"; (ii) total off-peak weekend trips from Row \", AA242, \"; and (iii) discounted off-peak weekend toll from Row \",AA259, \".\")","v":"Product of (i) county share of tolled trips from Row 214; (ii) total off-peak weekend trips from Row 242; and (iii) discounted off-peak weekend toll from Row 259."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"Total Auto Revenue from weekends, $ millions",null,null,null,null,{"$f":"G268+G270","v":0.11446038052508495},{"$f":"H268+H270","v":0.14799999802785066},{"$f":"I268+I270","v":7.6329376394298556E-2},{"$f":"J268+J270","v":0.19405247207868428},{"$f":"K268+K270","v":6.2358551010751315E-2},{"$f":"SUM(G272:K272)","v":0.59520077803666971},{"$f":"M268+M270","v":8.2201305568094268E-2},3.6782680998141665E-2,5.8522577831589789E-2,3.5636827996685286E-2,4.9397834512198433E-3,7.4249685470587174E-3,1.0354703268378979E-2,{"$f":"SUM(L272:S272)","v":0.8310636256978382},{"$f":"U268+U270","v":0.11826721556282484},{"$f":"V268+V270","v":2.4884390237633981E-2},{"$f":"W268+W270","v":1.2173705870736053E-2},{"$f":"SUM(T272:W272)","v":0.9863889373690331},null,null,{"$f":"ROW()","v":272}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA268, \" and \",AA270, \".\")","v":"Sum of Rows 268 and 270."},null,null,null,null,{"$f":"G243","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":273}]
[null,"Grand Total Revenue from Autos, $ millions",null,null,null,null,{"$f":"G266+G272","v":81.566286111336581},{"$f":"H266+H272","v":105.46715053923204},{"$f":"I266+I272","v":56.052282308092735},{"$f":"J266+J272","v":138.28487539156174},{"$f":"K266+K272","v":44.43769442227741},{"$f":"SUM(G274:K274)","v":425.80828877250048},{"$f":"M266+M272","v":58.577956651324925},26.211923011901238,41.704118975371308,25.395369953720188,3.5201681879953215,5.2911505806529977,7.3789261009969449,{"$f":"SUM(L274:S274)","v":593.88790223446347},{"$f":"U266+U272","v":84.279097255616321},{"$f":"V266+V272","v":17.733011934065448},{"$f":"W266+W272","v":8.6751762621486161},{"$f":"SUM(T274:W274)","v":704.57518768629382},null,null,{"$f":"ROW()","v":274}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA266, \" and \",AA272, \".\")","v":"Sum of Rows 266 and 272."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Grand Total Auto Revenue, % by county or state",null,null,null,null,{"$f":"G274/$X$274","v":0.11576661729912249},{"$f":"H274/$X$274","v":0.1496889932862501},{"$f":"I274/$X$274","v":7.9554720756146668E-2},{"$f":"J274/$X$274","v":0.1962670241705019},{"$f":"K274/$X$274","v":6.3070194918732961E-2},{"$f":"SUM(G276:K276)","v":0.60434755043075417},{"$f":"M274/$X$274","v":8.3139397576126775E-2},3.7202449745607387E-2,5.9190445113914116E-2,3.6043520120420794E-2,4.9961569035023223E-3,7.5097032554158547E-3,1.047287249105109E-2,{"$f":"SUM(L276:S276)","v":0.84290209563679253},{"$f":"U274/$X$274","v":0.11961689643425377},{"$f":"V274/$X$274","v":2.5168374140874406E-2},{"$f":"W274/$X$274","v":1.2312633788079357E-2},{"$f":"X274/$X$274","v":1},null,null,{"$f":"ROW()","v":276}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA274, \" to Row Total in Cell X\",AA274, \".\")","v":"Ratio of respective columns in Row 274 to Row Total in Cell X274."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"2. TRUCKS & BUSES",null,null,{"$f":"CONCATENATE(\"Truck and bus toll revenues require a different approach. Our premise is that county incidence is roughly proportional to county population.We begin \" & \"with combined truck and bus total (365-day) revenue, which is calculated from summary cells in the Motor Vs and Motor Vs Weekends worksheets and shown in Column X in \" & \"this row. We then apportion that total by the respective county shares of population. Because the affected populations of NJ, CT and 'other' aren't well \" & \"defined, we use their percentage shares of toll revenues, from Row \",AA276, \". To make the respective county percents add to 100, we ratio down the population percentages for the 12 counties by the 12-county total's \" & \"share of auto toll revenues in Row \",AA274, \".\")","v":"Truck and bus toll revenues require a different approach. Our premise is that county incidence is roughly proportional to county population.We begin with combined truck and bus total (365-day) revenue, which is calculated from summary cells in the Motor Vs and Motor Vs Weekends worksheets and shown in Column X in this row. We then apportion that total by the respective county shares of population. Because the affected populations of NJ, CT and 'other' aren't well defined, we use their percentage shares of toll revenues, from Row 276. To make the respective county percents add to 100, we ratio down the population percentages for the 12 counties by the 12-county total's share of auto toll revenues in Row 274."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!BG1087+'Motor Vs Weekends'!BG1087","v":168.25632392893857},null,null,{"$f":"ROW()","v":280}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"County Share of 12-County Population",null,null,null,null,{"$f":"G80/$T80","v":0.10840153929655273},{"$f":"H80/$T80","v":0.19517309717778439},{"$f":"I80/$T80","v":0.12266440720827941},{"$f":"J80/$T80","v":0.17379069534050812},{"$f":"K80/$T80","v":3.5328574205420606E-2},{"$f":"SUM(G285:K285)","v":0.63535831322854519},{"$f":"M80/$T80","v":0.10091181495430757},0.11000734338712737,7.222868925624E-2,2.4232440676322565E-2,7.3185554851623938E-3,2.1778750215342653E-2,2.8164092796952176E-2,{"$f":"SUM(L285:S285)","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA80, \" to 12-County Total in (hidden) Cell T\",AA80, \".\")","v":"Ratio of respective columns in Row 80 to 12-County Total in (hidden) Cell T80."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"County Share of Total Population Affected by CBD Tolling",null,null,null,null,{"$f":"G285*$T$276","v":9.1371884643318413E-2},{"$f":"H285*$T$276","v":0.16451181262307782},{"$f":"I285*$T$276","v":0.1033940858959036},{"$f":"J285*$T$276","v":0.14648854130468963},{"$f":"K285*$T$276","v":2.977852923360896E-2},{"$f":"SUM(G287:K287)","v":0.53554485370059834},{"$f":"M285*$T$276","v":8.5058780299498066E-2},9.2725420276445911E-2,6.0881713539183376E-2,2.0425575028466543E-2,6.1688257554775245E-3,1.8357354196862567E-2,2.3739572840260084E-2,{"$f":"SUM(L287:S287)","v":0.84290209563679241},{"$f":"U276","v":0.11961689643425377},{"$f":"V276","v":2.5168374140874406E-2},{"$f":"W276","v":1.2312633788079357E-2},{"$f":"SUM(T287:W287)","v":0.99999999999999989},null,null,{"$f":"ROW()","v":287}]
[null,{"$f":"CONCATENATE(\"NYS counties prorate figures in Row \",AA285, \" by 12-County Total in (hidden) Cell T\",AA287, \" NJ, CT and 'Other' use shares of CBD tolls from Row \",AA276,\".\")","v":"NYS counties prorate figures in Row 285 by 12-County Total in (hidden) Cell T287 NJ, CT and 'Other' use shares of CBD tolls from Row 276."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"County Incidence of Truck and Bus Toll Revenues",null,null,null,null,{"$f":"G287*$X280","v":15.373897420543791},{"$f":"H287*$X280","v":27.680152834845426},{"$f":"I287*$X280","v":17.396708808837655},{"$f":"J287*$X280","v":24.647623457639558},{"$f":"K287*$X280","v":5.0104258608574757},{"$f":"SUM(G289:K289)","v":90.108808382723907},{"$f":"M287*$X280","v":14.311677691072765},15.601638350480652,10.243733314597684,3.4367321684245051,1.0379439445748055,3.0887409342255681,3.9943332577454331,{"$f":"SUM(L289:S289)","v":141.82360804384533},{"$f":"U287*$X280","v":20.126299273816098},{"$f":"V287*$X280","v":4.2347381122116854},{"$f":"W287*$X280","v":2.0716784990654742},{"$f":"SUM(T289:W289)","v":168.2563239289386},null,null,{"$f":"ROW()","v":289}]
[null,{"$f":"CONCATENATE(\"Each cell is product of percentage in Row \",AA287, \" and total truck and bus toll revenue calculated in Motor Vs & Motor Vs Weekends' tabs and shown here in Cell X\",AA280, \".\")","v":"Each cell is product of percentage in Row 287 and total truck and bus toll revenue calculated in Motor Vs & Motor Vs Weekends' tabs and shown here in Cell X280."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,{"$f":"G273","v":"Bronx"},{"$f":"H273","v":"Brooklyn"},"Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":291}]
[null,"Grand Total Auto + Truck + Bus Toll Revenues",null,null,null,null,{"$f":"G274+G289","v":96.940183531880365},{"$f":"H274+H289","v":133.14730337407747},{"$f":"I274+I289","v":73.448991116930387},{"$f":"J274+J289","v":162.93249884920129},{"$f":"K274+K289","v":49.448120283134884},{"$f":"SUM(G292:K292)","v":515.91709715522438},{"$f":"M274+M289","v":72.889634342397684},41.81356136238189,51.947852289968992,28.832102122144693,4.5581121325701268,8.3798915148785653,11.373259358742377,{"$f":"SUM(L292:S292)","v":735.71151027830865},{"$f":"U274+U289","v":104.40539652943242},{"$f":"V274+V289","v":21.967750046277132},{"$f":"W274+W289","v":10.74685476121409},{"$f":"SUM(T292:W292)","v":872.83151161523233},null,null,{"$f":"ROW()","v":292}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA274, \" and \",AA289, \".\")","v":"Sum of Rows 274 and 289."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Grand Total Auto + Truck + Bus Rev, % by county or state",null,null,null,null,{"$f":"G292/$X$274","v":0.13758671214383178},{"$f":"H292/$X$274","v":0.18897529419296011},{"$f":"I292/$X$274","v":0.10424578157247419},{"$f":"J292/$X$274","v":0.23124927147128777},{"$f":"K292/$X$274","v":7.0181466999305178E-2},{"$f":"SUM(G294:K294)","v":0.73223852637985909},{"$f":"M292/$X$274","v":0.1034518893317191},5.9345776140216605E-2,7.3729323992457046E-2,4.0921256703382446E-2,6.4693054939078953E-3,1.1893537639888678E-2,1.6142009479627354E-2,{"$f":"SUM(L294:S294)","v":1.0441916251610583},{"$f":"U292/$X$274","v":0.14818205119070707},{"$f":"V292/$X$274","v":3.1178716523378464E-2},{"$f":"W292/$X$274","v":1.5252956602836029E-2},{"$f":"X292/$X$274","v":1.2388053494779796},null,null,{"$f":"ROW()","v":294}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",AA292, \" to Row \",AA274, \".\")","v":"Ratio of Row 292 to Row 274."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,"3. FOR-HIRE VEHICLE CHARGES",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,"A. Medallion Taxi Surcharge",null,null,"This part estimates the incidence of possible surcharges on one or more elements (drop, per-mile charge, wait time charge) of the fare structure for yellow (medallion) taxicab rides.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,null,null,null,null,null,{"$f":"G273","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U273","v":"NJ"},{"$f":"V273","v":"CT"},{"$f":"W273","v":"Other"},{"$f":"X273","v":"Total"},null,null,{"$f":"ROW()","v":301}]
[null,"Annual gross revenue from surcharges on medallion taxicabs, millions (shown at far right)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Revenues!K69+Revenues!J88","v":386.20352237264029},null,null,{"$f":"ROW()","v":302}]
[null,{"$f":"CONCATENATE(\"From 'Revenue' worksheet, Sum of Cell K\",Revenues!R69, \", which capture gross revenues from proposed surcharges on yellow cabs; and Cell J\",Revenues!R88, \", which captures change in revenues from the existing 'Ravitch' surcharge on account of changes in number of taxi rides.\")","v":"From 'Revenue' worksheet, Sum of Cell K69, which capture gross revenues from proposed surcharges on yellow cabs; and Cell J88, which captures change in revenues from the existing 'Ravitch' surcharge on account of changes in number of taxi rides."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"Estimated % of taxi revenues by county of passenger residence",null,null,null,null,0.01,0.125,0.62,7.0000000000000007E-2,5.0000000000000001E-3,{"$f":"SUM(G305:K305)","v":0.83},1.4999999999999999E-2,5.0000000000000001E-3,0.03,4.0000000000000001E-3,2E-3,2E-3,2E-3,{"$f":"SUM(L305:S305)","v":0.89},0.04,{"$f":"2/3*O305","v":1.9999999999999997E-2},{"$f":"X305-T305-V305-U305","v":4.9999999999999996E-2},{"$f":"SUM(T305:W305)","v":1},null,null,{"$f":"ROW()","v":305}]
[null,"Komanoff assumptions. Most critical of course is percentage for Manhattan, which we previously estimated at 70% on basis of a statistic in Schaller's NYC Taxicab Fact Book that Manhattan adults hailed cabs an average of 100 times a year (p. 2). \"Assuming that 80% of Manhattan residents are adults and dividing by another Schaller statistic at that time, 178.4 million total taxi trips a year (p. 3), yielded 75%. (Schaller report is referenced in 'Taxis' worksheet.) Somewhat separately, a pie chart in Schaller book (p. 6) divided taxi passengers as follows: Manhattan residents, 71%; residents of other boroughs, 10%, suburbs, 5%, and other U.S. plus foreign, 14%. In late Oct 2018 we reduced Manhattan's share to 62%.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"Annual taxi surcharge expenditures by county, millions",null,null,null,null,{"$f":"G305*$X$302","v":3.8620352237264028},{"$f":"H305*$X$302","v":48.275440296580037},{"$f":"I305*$X$302","v":239.44618387103699},{"$f":"J305*$X$302","v":27.034246566084825},{"$f":"K305*$X$302","v":1.9310176118632014},{"$f":"SUM(G310:K310)","v":320.54892356929145},{"$f":"M305*$X$302","v":5.793052835589604},1.9310176118632014,11.586105671179208,1.5448140894905613,0.77240704474528066,0.77240704474528066,0.77240704474528066,{"$f":"SUM(L310:S310)","v":343.72113491164993},{"$f":"U305*$X$302","v":15.448140894905611},{"$f":"V305*$X$302","v":7.7240704474528048},{"$f":"W305*$X$302","v":19.310176118632015},{"$f":"SUM(T310:W310)","v":386.20352237264035},null,null,{"$f":"ROW()","v":310}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying %'s in Row \",AA305, \" by annual revenue from taxi surcharge in Cell X\",AA302, \".\")","v":"Calculated by multiplying %'s in Row 305 by annual revenue from taxi surcharge in Cell X302."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,"B. UberLyft (and other FHV) Surcharge",null,null,"This part estimates the incidence of possible surcharges on one or more elements (drop, per-mile charge, wait time charge) of the fare structure for yellow (medallion) taxicab rides.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,null,null,null,null,null,{"$f":"G301","v":"Bronx"},{"$f":"H301","v":"Brooklyn"},{"$f":"I301","v":"Manhattan"},{"$f":"J301","v":"Queens"},{"$f":"K301","v":"S.I."},{"$f":"L286","v":0},{"$f":"M301","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U301","v":"NJ"},{"$f":"V301","v":"CT"},{"$f":"W301","v":"Other"},{"$f":"X301","v":"Total"},null,null,{"$f":"ROW()","v":314}]
[null,"Annual gross revenue from surcharges on Ubers, millions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Revenues!O69","v":390.05500000000001},null,null,{"$f":"ROW()","v":315}]
[null,{"$f":"CONCATENATE(\"From 'Revenue' worksheet, Cell O\",Revenues!R56, \".\")","v":"From 'Revenue' worksheet, Cell O56."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,"Estimated % of taxi revenues by county of passenger residence",null,null,null,null,1.4999999999999999E-2,0.13,0.57999999999999996,0.08,5.0000000000000001E-3,{"$f":"SUM(G317:K317)","v":0.80999999999999994},0.02,8.0000000000000002E-3,3.5000000000000003E-2,3.0000000000000001E-3,3.0000000000000001E-3,3.0000000000000001E-3,3.0000000000000001E-3,{"$f":"SUM(L317:S317)","v":0.88500000000000001},0.04,2.5000000000000001E-2,{"$f":"X317-T317-V317-U317","v":4.9999999999999996E-2},{"$f":"SUM(T317:W317)","v":1},null,null,{"$f":"ROW()","v":317}]
[null,{"$f":"CONCATENATE(\"Komanoff assumptions, modifying somewhat the figures in Row \",AA305, \". It's useful to keep in mind that we are trying to break out the share of UberLyft trips that use the CBD or the larger taxi zone, which is a far more Manhattan-centric sample than the larger set of all UberLyft trips in NYC.\")","v":"Komanoff assumptions, modifying somewhat the figures in Row 305. It's useful to keep in mind that we are trying to break out the share of UberLyft trips that use the CBD or the larger taxi zone, which is a far more Manhattan-centric sample than the larger set of all UberLyft trips in NYC."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Annual taxi surcharge expenditures by county, millions",null,null,null,null,{"$f":"G317*$X$315","v":5.8508249999999995},{"$f":"H317*$X$315","v":50.707150000000006},{"$f":"I317*$X$315","v":226.2319},{"$f":"J317*$X$315","v":31.2044},{"$f":"K317*$X$315","v":1.950275},{"$f":"SUM(G320:K320)","v":315.94454999999999},{"$f":"M317*$X$315","v":7.8010999999999999},3.1204400000000003,13.651925000000002,1.1701650000000001,1.1701650000000001,1.1701650000000001,1.1701650000000001,{"$f":"SUM(L320:S320)","v":345.19867499999998},{"$f":"U317*$X$315","v":15.6022},{"$f":"V317*$X$315","v":9.7513750000000012},{"$f":"W317*$X$315","v":19.502749999999999},{"$f":"SUM(T320:W320)","v":390.05499999999995},null,null,{"$f":"ROW()","v":320}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying %'s in Row \",AA317, \" by annual revenue from taxi surcharge in Cell X\",AA315, \".\")","v":"Calculated by multiplying %'s in Row 317 by annual revenue from taxi surcharge in Cell X315."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"C. Medallion Taxi Cordon Tolls",null,null,"This part estimates the incidence of cordon tolls for yellow (medallion) taxicab rides, in the event that the tolling scheme were to subject taxis to the CBD tolls in the same way as regular passenger vehicles.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,null,null,null,null,null,null,null,null,null,"Weekdays",null,"Weekends","Combined",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,"Daily medallion taxi trips that \"survive\" imposition of cordon toll (i.e., continue to cross cordon, despite toll)",null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AX1068","v":36892.383966688525},null,{"$f":"'Motor Vs Weekends'!AX1068","v":33794.156990015283},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,{"$f":"CONCATENATE(\"Copied from Cell AX\",'Motor Vs'!O1068, \" of 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, respectively.\")","v":"Copied from Cell AX1068 of 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, respectively."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Daily medallion taxi trips that will pay cordon toll, assuming that medallion taxis aren't exempted from it",null,null,null,null,null,null,null,null,{"$f":"K326*(1-'Policy Levers'!$K$85)","v":35416.688608020981},null,{"$f":"M326*(1-'Policy Levers'!$K$85)","v":32442.390710414671},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA326, \" and complement of Cell N\",'Policy Levers'!O85, \" of 'Policy Levers' tab, which specifies % of non-paying vehicles.\")","v":"Product of Row 326 and complement of Cell N85 of 'Policy Levers' tab, which specifies % of non-paying vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Annual medallion taxi trips (000) that \"survive\" imposition of cordon toll (i.e., continue to cross cordon, despite toll)",null,null,null,null,null,null,null,null,{"$f":"K328*weekday_per_yr/1000","v":8854.1721520052452},null,{"$f":"M328*wkend_per_yr/1000","v":3730.8749316976873},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA328, \" and number of weekdays or weekend/holidays in year, divided by 1,000.\")","v":"Product of Row 328 and number of weekdays or weekend/holidays in year, divided by 1,000."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"Average toll paid on those trips ",null,null,null,null,null,null,null,null,{"$f":"'MV Condensed'!L79","v":0},null,{"$f":"'MV Condensed'!L144","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,{"$f":"CONCATENATE(\"Copied from Cells L\",'MV Condensed'!O80, \" and L\",'MV Condensed'!O144, \" of 'MV Condensed' worksheet tab.\")","v":"Copied from Cells L80 and L144 of 'MV Condensed' worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Annual toll revenue collected from those trips, $ millions.",null,null,null,null,null,null,null,null,{"$f":"K330*K332/1000","v":0},null,{"$f":"M330*M332/1000","v":0},{"$f":"K334+M334","v":0},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",AA328, \" and \",AA330, \".\")","v":"Product of Rows 328 and 330."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Estimated % of taxi revenues by county of passenger residence",null,null,null,null,{"$f":"G305","v":0.01},{"$f":"H305","v":0.125},{"$f":"I305","v":0.62},{"$f":"J305","v":7.0000000000000007E-2},{"$f":"K305","v":5.0000000000000001E-3},{"$f":"SUM(G336:K336)","v":0.83},{"$f":"M305","v":1.4999999999999999E-2},5.0000000000000001E-3,0.03,4.0000000000000001E-3,2E-3,2E-3,2E-3,{"$f":"SUM(L336:S336)","v":0.89},{"$f":"U305","v":0.04},{"$f":"V305","v":1.9999999999999997E-2},{"$f":"W305","v":4.9999999999999996E-2},{"$f":"SUM(T336:W336)","v":1},null,null,{"$f":"ROW()","v":336}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA305, \".\")","v":"Copied from Row 305."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Annual taxi cordon toll expenditures by county, millions",null,null,null,null,{"$f":"G336*$N$334","v":0},{"$f":"H336*$N$334","v":0},{"$f":"I336*$N$334","v":0},{"$f":"J336*$N$334","v":0},{"$f":"K336*$N$334","v":0},{"$f":"SUM(G338:K338)","v":0},{"$f":"M336*$N$334","v":0},0,0,0,0,0,0,{"$f":"SUM(L338:S338)","v":0},{"$f":"U336*$N$334","v":0},{"$f":"V336*$N$334","v":0},{"$f":"W336*$N$334","v":0},{"$f":"SUM(T338:W338)","v":0},null,null,{"$f":"ROW()","v":338}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA336, \" and Cell N\",AA334, \".\")","v":"Product of Row 336 and Cell N334."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"D. UberLyft Cordon Tolls",null,null,"This part estimates the incidence of cordon tolls for UberLyft rides, in the event that the tolling scheme were to subject Ubers, Lyfts and other app-based FHV's to the CBD tolls in the same way as regular passenger vehicles.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,null,"Weekdays",null,"Weekends","Combined",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Daily UberLyft trips that \"survive\" imposition of cordon toll (i.e., continue to cross cordon, despite toll)",null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!BP1068","v":64975.258236260677},null,{"$f":"'Motor Vs Weekends'!BP1068","v":58780.54824620056},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,{"$f":"CONCATENATE(\"Copied from Cell AX\",'Motor Vs'!O1087, \" of 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, respectively.\")","v":"Copied from Cell AX1087 of 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, respectively."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,"Daily UberLyft trips that will pay cordon toll, assuming that UberLyfts aren't exempted from it",null,null,null,null,null,null,null,null,{"$f":"K345*(1-'Policy Levers'!$K$85)","v":62376.247906810248},null,{"$f":"M345*(1-'Policy Levers'!$K$85)","v":56429.326316352533},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA345, \" and complement of Cell N\",'Policy Levers'!O107, \" of 'Policy Levers' tab, which specifies % of non-paying vehicles.\")","v":"Product of Row 345 and complement of Cell N107 of 'Policy Levers' tab, which specifies % of non-paying vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Annual UberLyft trips (000) that \"survive\" imposition of cordon toll (i.e., continue to cross cordon, despite toll)",null,null,null,null,null,null,null,null,{"$f":"K347*weekday_per_yr/1000","v":15594.061976702562},null,{"$f":"M347*wkend_per_yr/1000","v":6489.3725263805418},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA347, \" and number of weekdays or weekend/holidays in year, divided by 1,000.\")","v":"Product of Row 347 and number of weekdays or weekend/holidays in year, divided by 1,000."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Average toll paid on those trips ",null,null,null,null,null,null,null,null,{"$f":"'MV Condensed'!N79","v":0},null,{"$f":"'MV Condensed'!N144","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,{"$f":"CONCATENATE(\"Copied from Cells L\",'MV Condensed'!O99, \" and L\",'MV Condensed'!O163, \" of 'MV Condensed' worksheet tab.\")","v":"Copied from Cells L99 and L163 of 'MV Condensed' worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Annual toll revenue collected from those trips, $ millions.",null,null,null,null,null,null,null,null,{"$f":"K349*K351/1000","v":0},null,{"$f":"M349*M351/1000","v":0},{"$f":"K353+M353","v":0},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",AA347, \" and \",AA349, \".\")","v":"Product of Rows 347 and 349."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Estimated % of taxi revenues by county of passenger residence",null,null,null,null,{"$f":"G317","v":1.4999999999999999E-2},{"$f":"H317","v":0.13},{"$f":"I317","v":0.57999999999999996},{"$f":"J317","v":0.08},{"$f":"K317","v":5.0000000000000001E-3},{"$f":"SUM(G355:K355)","v":0.80999999999999994},{"$f":"M317","v":0.02},8.0000000000000002E-3,3.5000000000000003E-2,3.0000000000000001E-3,3.0000000000000001E-3,3.0000000000000001E-3,3.0000000000000001E-3,{"$f":"SUM(L355:S355)","v":0.88500000000000001},{"$f":"U317","v":0.04},{"$f":"V317","v":2.5000000000000001E-2},{"$f":"W317","v":4.9999999999999996E-2},{"$f":"SUM(T355:W355)","v":1},null,null,{"$f":"ROW()","v":355}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA323, \".\")","v":"Copied from Row 323."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,"Annual taxi cordon toll expenditures by county, millions",null,null,null,null,{"$f":"G355*$N$334","v":0},{"$f":"H355*$N$334","v":0},{"$f":"I355*$N$334","v":0},{"$f":"J355*$N$334","v":0},{"$f":"K355*$N$334","v":0},{"$f":"SUM(G357:K357)","v":0},{"$f":"M355*$N$334","v":0},0,0,0,0,0,0,{"$f":"SUM(L357:S357)","v":0},{"$f":"U355*$N$334","v":0},{"$f":"V355*$N$334","v":0},{"$f":"W355*$N$334","v":0},{"$f":"SUM(T357:W357)","v":0},null,null,{"$f":"ROW()","v":357}]
[null,{"$f":"CONCATENATE(\"Product of Row \",AA355, \" and Cell N\",AA353, \".\")","v":"Product of Row 355 and Cell N353."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"E. All Taxi Charges Surcharges -- Yellows + Ubers",null,null,null,null,{"$f":"G310+G320+G338+G357","v":9.7128602237264019},{"$f":"H310+H320+H338+H357","v":98.982590296580042},{"$f":"I310+I320+I338+I357","v":465.67808387103696},{"$f":"J310+J320+J338+J357","v":58.238646566084824},{"$f":"K310+K320+K338+K357","v":3.8812926118632012},{"$f":"SUM(G360:K360)","v":636.49347356929138},{"$f":"M310+M320+M338+M357","v":13.594152835589604},5.051457611863202,25.23803067117921,2.7149790894905612,1.9425720447452808,1.9425720447452808,1.9425720447452808,{"$f":"SUM(L360:S360)","v":688.91980991164974},{"$f":"U310+U320+U338+U357","v":31.050340894905609},{"$f":"V310+V320+V338+V357","v":17.475445447452806},{"$f":"W310+W320+W338+W357","v":38.812926118632014},{"$f":"SUM(T360:W360)","v":776.25852237264019},null,null,{"$f":"ROW()","v":360}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA310, \", \",AA320, \", \",AA338, \" and \",AA357, \".\")","v":"Sum of Rows 310, 320, 338 and 357."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Combined Revenue from Cordon Toll + Taxi Surcharge, $ Millions",null,null,null,null,{"$f":"G292+G360","v":106.65304375560677},{"$f":"H292+H360","v":232.12989367065751},{"$f":"I292+I360","v":539.12707498796738},{"$f":"J292+J360","v":221.17114541528611},{"$f":"K292+K360","v":53.329412894998086},{"$f":"SUM(G363:K363)","v":1152.410570724516},{"$f":"M292+M360","v":86.483787177987296},46.865018974245089,77.185882961148195,31.547081211635255,6.5006841773154074,10.322463559623847,13.315831403487659,{"$f":"SUM(L363:S363)","v":1424.6313201899588},{"$f":"U292+U360","v":135.45573742433803},{"$f":"V292+V360","v":39.443195493729938},{"$f":"W292+W360","v":49.559780879846102},{"$f":"X292+X360","v":1649.0900339878726},null,null,{"$f":"ROW()","v":363}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA292, \" and \",AA360, \".\")","v":"Sum of Rows 292 and 360."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"County shares of toll + taxi revenue",null,null,null,null,{"$f":"ROUND(IF($X$363=0,\"NA\",G363/$X$363)*100,1)/100","v":6.5000000000000002E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",H363/$X$363)*100,1)/100","v":0.14099999999999999},{"$f":"ROUND(IF($X$363=0,\"NA\",I363/$X$363)*100,1)/100","v":0.32700000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",J363/$X$363)*100,1)/100","v":0.13400000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",K363/$X$363)*100,1)/100","v":3.2000000000000001E-2},{"$f":"SUM(G366:K366)","v":0.69900000000000007},{"$f":"ROUND(IF($X$363=0,\"NA\",M363/$X$363)*100,1)/100","v":5.2000000000000005E-2},2.7999999999999997E-2,4.7E-2,1.9E-2,4.0000000000000001E-3,6.0000000000000001E-3,8.0000000000000002E-3,{"$f":"SUM(L366:S366)","v":0.86300000000000021},8.199999999999999E-2,2.4E-2,0.03,1,null,null,{"$f":"ROW()","v":366}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA363, \" to Row Total in Cell X\",AA363, \". Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario.\")","v":"Ratio of respective columns in Row 363 to Row Total in Cell X363. Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369},null,null,"Trips by Queens residents that will enjoy discount, avg wkday"]
[null,null,null,null,null,{"$f":"CONCATENATE(\"%'s in column below are from 'MTA Crossings' tab, Cells T\",'MTA Crossings'!AL265, \"-T\",'MTA Crossings'!AL274, \".\")","v":"%'s in column below are from 'MTA Crossings' tab, Cells T265-T274."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370},null,null,"Queens residents' share of total discounts","000 of Projected Toll-Paying Vehicles (2014)","Projected Weekday Toll-Paying Vehicles (2014)"]
[null,"4. MTA BRIDGES DISCOUNT -- by county",null,null,null,null,"Bronx","Brooklyn","Manhattan","Queens","S.I.",null,{"$f":"M273","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U273","v":"NJ"},{"$f":"V273","v":"CT"},{"$f":"W273","v":"Other"},{"$f":"X273","v":"Total"},null,null,{"$f":"ROW()","v":371}]
[null,"All figures in millions of dollars",null,null,"2015 Projct'd Toll Revenue","Assumed change in toll level","Percentages in matrix below denote our best estimates of the percentage of toll revenues (not toll trips, whose distribution may be different, due to geographic discounts) accounted for by residents of each of \nthe 12 MTA counties, plus NJ and CT. They were developed by Komanoff & Szende, based in part on maps by Prof. Jonathan Peters maps in '2011 Road Pricing RITA Presentation.pdf' (p. 14), modified by our own judgment.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"NYC","non-NYC",{"$f":"ROW()","v":374}]
[null,"Verrazano-Narrows Br",null,null,{"$f":"'MTA Crossings'!U147","v":424.726},{"$f":"'MTA Crossings'!T265","v":0},0.01,0.24,0.01,0.05,0.43,null,0.1,0.02,0.01,0,0,0,0,0,0.1,0,0.03,{"$f":"SUM(G375:W375)","v":1},{"$f":"SUM(G375:K375)","v":0.74},{"$f":"1-Y375","v":0.26},{"$f":"ROW()","v":375},null,null,{"$f":"J375","v":0.05},{"$f":"'MTA Crossings'!T36","v":72907},{"$f":"AE375*1000/Constants!$J$6","v":220930.30303030304},{"$f":"AF375*AD375","v":11046.515151515152}]
[null,"Triborough Br (to/from Manhattan)",null,null,{"$f":"'MTA Crossings'!U148","v":222.8155511879674},{"$f":"'MTA Crossings'!T266","v":0},0.25,0.04,0.18,0.24,0.02,null,0.1,0.02,0.05,0.01,0.01,0.01,0,null,0.02,0.03,0.02,1,{"$f":"SUM(G376:K376)","v":0.73},{"$f":"1-Y376","v":0.27},{"$f":"ROW()","v":376},null,null,0.24,{"$f":"'MTA Crossings'!T37","v":32563.326816032881},{"$f":"AE376*1000/Constants!$J$6","v":98676.747927372358},{"$f":"AF376*AD376","v":23682.419502569366}]
[null,"Triborough Br (Bx-Queens only)",null,null,{"$f":"'MTA Crossings'!U149","v":222.83844881203262},{"$f":"'MTA Crossings'!T267","v":0},0.3,0.04,0.04,0.3,0.03,null,0.12,0.03,0.05,0.01,0.01,0.01,0,null,0.02,0.02,0.02,1,0.71,0.29000000000000004,{"$f":"ROW()","v":377},null,null,0.3,{"$f":"'MTA Crossings'!T38","v":32566.673183967123},{"$f":"AE377*1000/Constants!$J$6","v":98686.888436264009},29606.066530879201]
[null,"Bronx-Whitestone Br",null,null,{"$f":"'MTA Crossings'!U150","v":329.54599999999999},{"$f":"'MTA Crossings'!T268","v":0},0.22,0.04,0.04,0.25,0.01,null,0.2,0.05,0.1,0.01,0.01,0.01,0,null,0.02,0.02,0.02,1,0.56000000000000005,0.43999999999999995,{"$f":"ROW()","v":378},null,null,0.25,{"$f":"'MTA Crossings'!T39","v":46380},{"$f":"AE378*1000/Constants!$J$6","v":140545.45454545456},35136.36363636364]
[null,"Throgs Neck Br",null,null,{"$f":"'MTA Crossings'!U151","v":346.26299999999998},{"$f":"'MTA Crossings'!T269","v":0},0.18,0.02,0.02,0.2,0.01,null,0.27,0.1,0.1,0.01,0.01,0.01,0,null,0.02,0.02,0.03,1,0.43,0.57000000000000006,{"$f":"ROW()","v":379},null,null,0.2,{"$f":"'MTA Crossings'!T40","v":43852},{"$f":"AE379*1000/Constants!$J$6","v":132884.84848484848},26576.969696969696]
[null,"Brooklyn-Battery Tun",null,null,{"$f":"'MTA Crossings'!U152","v":108.376},{"$f":"'MTA Crossings'!T270","v":0},{"$f":"CONCATENATE(\"Geographic incidence of tolls on the MTA's Brooklyn-Battery and Queens-Midtown Tunnels is not relevant to this analysis, which concerns possible discounts\n on MTA crossings that do *not* directly\" & \" access the Manhattan CBD, i.e., the authority's 7 bridges. Those figures are shown above, in Rows \",AA229, \"-\",AA230, \".\")","v":"Geographic incidence of tolls on the MTA's Brooklyn-Battery and Queens-Midtown Tunnels is not relevant to this analysis, which concerns possible discounts\n on MTA crossings that do *not* directly access the Manhattan CBD, i.e., the authority's 7 bridges. Those figures are shown above, in Rows 229-230."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,1,{"$f":"ROW()","v":380},null,null,0,{"$f":"'MTA Crossings'!T41","v":17727},{"$f":"AE380*1000/Constants!$J$6","v":53718.181818181816},0]
[null,"Queens Midtown Tun",null,null,{"$f":"'MTA Crossings'!U153","v":165.577},{"$f":"'MTA Crossings'!T271","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,1,{"$f":"ROW()","v":381},null,null,0,{"$f":"'MTA Crossings'!T42","v":25846},{"$f":"AE381*1000/Constants!$J$6","v":78321.212121212127},0]
[null,"Henry Hudson Br",null,null,{"$f":"'MTA Crossings'!U154","v":85.328000000000003},{"$f":"'MTA Crossings'!T272","v":0},0.27,0.02,0.15,0.01,0.01,null,0.01,0,0.4,0.03,0.05,0.01,0.01,null,0.02,0.01,null,1.0000000000000002,0.46000000000000008,0.53999999999999992,{"$f":"ROW()","v":382},null,null,0.01,{"$f":"'MTA Crossings'!T43","v":25817},{"$f":"AE382*1000/Constants!$J$6","v":78233.333333333328},782.33333333333326]
[null,"Marine Parkway Br",null,null,{"$f":"'MTA Crossings'!U155","v":17.661999999999999},{"$f":"'MTA Crossings'!T273","v":0},0,0.4,0.01,0.5,0.01,null,7.0000000000000007E-2,0,0,0,0,0,0,0,0,0,0.01,1,0.92,7.999999999999996E-2,{"$f":"ROW()","v":383},null,null,0.5,{"$f":"'MTA Crossings'!T44","v":8050},{"$f":"AE383*1000/Constants!$J$6","v":24393.939393939392},12196.969696969696]
[null,"Cross Bay Br",null,null,{"$f":"'MTA Crossings'!U156","v":18.850000000000001},{"$f":"'MTA Crossings'!T274","v":0},0,0.1,0.01,0.85,0.01,null,0.02,0,0,0,0,0,0,0,0,0,0.01,1,0.97,3.0000000000000027E-2,{"$f":"ROW()","v":384},null,null,0.85,{"$f":"'MTA Crossings'!T45","v":8493},{"$f":"AE384*1000/Constants!$J$6","v":25736.363636363636},21875.909090909088]
[null,"T O T A L excluding tunnels",null,null,{"$f":"SUM(E375:E384)-E380-E381","v":1668.0289999999998},{"$f":"SUMPRODUCT(E375:E384,F375:F384)","v":0},"Note: Rows, not columns, add to 100%.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,null,null,null,null,null,{"$f":"G371","v":"Bronx"},{"$f":"H371","v":"Brooklyn"},{"$f":"I371","v":"Manhattan"},{"$f":"J371","v":"Queens"},{"$f":"K371","v":"S.I."},null,{"$f":"M371","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U371","v":"NJ"},{"$f":"V371","v":"CT"},{"$f":"W371","v":"Other"},{"$f":"X371","v":"Total"},null,null,{"$f":"ROW()","v":386},null,null,"Copied from Col. J",{"$f":"CONCATENATE(\"From MTA Crossings tab, Cells T\",'MTA Crossings'!AL36, \"-T\",'MTA Crossings'!AL45,\".\")","v":"From MTA Crossings tab, Cells T36-T45."},"Prior column, divided by year-to-day factor in Constants tab.",{"$f":"SUM(AG375:AG384)","v":160903.54663950918},"T O T A L"]
[null,{"$f":"B375","v":"Verrazano-Narrows Br"},null,null,{"$f":"CONCATENATE(\"Each dollar fig. in matrix at right is product of corres-ponding % in matrix in Rows \",AA375, \"-\",AA384, \" by proj'd total revenue for that bridge in Column E (which is from Rows \",'MTA Crossings'!AL305, \"-\",'MTA Crossings'!AL314, \" of 'MTA Crossings' tab.) Those products are factored thru (i) toll change for bridge shown in Column F,\" & \" and (ii) est'd % change in bridge volume (due to toll change, calc'd in 'MTA Crossings,' Col. O.\")","v":"Each dollar fig. in matrix at right is product of corres-ponding % in matrix in Rows 375-384 by proj'd total revenue for that bridge in Column E (which is from Rows 305-314 of 'MTA Crossings' tab.) Those products are factored thru (i) toll change for bridge shown in Column F, and (ii) est'd % change in bridge volume (due to toll change, calc'd in 'MTA Crossings,' Col. O."},null,{"$f":"G375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":8.4945200000000068E-2},{"$f":"H375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":2.0386848000000017},{"$f":"I375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":8.4945200000000068E-2},{"$f":"J375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0.42472600000000038},{"$f":"K375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":3.6526436000000033},{"$f":"L375*$E375*((1+$F375)*'MTA Crossings'!$O305-1)","v":0},{"$f":"M375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0.84945200000000076},{"$f":"N375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0.16989040000000014},{"$f":"O375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":8.4945200000000068E-2},{"$f":"P375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0},{"$f":"Q375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0},{"$f":"R375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0},{"$f":"S375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0},{"$f":"T375*$E375*((1+$F375)*'MTA Crossings'!$O305-1)","v":0},{"$f":"U375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0.84945200000000076},{"$f":"V375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0},{"$f":"W375*$E375*((1+$F375)*(1+'MTA Crossings'!$O305)-1)","v":0.25483560000000022},{"$f":"SUM(G387:W387)","v":8.4945200000000067},null,null,{"$f":"ROW()","v":387},null,null,null,null,null,{"$f":"AG386-AG375-AG382","v":149074.69815466067},"T O T A L, excluding VNB & HH"]
[null,"Triborough Br (to/from Manhattan)",null,null,null,null,{"$f":"G376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":1.114077755939838},{"$f":"H376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0.17825244095037407},{"$f":"I376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0.80213598427668331},{"$f":"J376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":1.0695146457022444},{"$f":"K376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":8.9126220475187035E-2},null,{"$f":"M376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0.44563110237593523},{"$f":"N376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":8.9126220475187035E-2},{"$f":"O376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0.22281555118796761},{"$f":"P376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":4.4563110237593517E-2},{"$f":"Q376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":4.4563110237593517E-2},{"$f":"R376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":4.4563110237593517E-2},{"$f":"S376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0},null,{"$f":"U376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":8.9126220475187035E-2},{"$f":"V376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":0.13368933071278055},{"$f":"W376*$E376*((1+$F376)*(1+'MTA Crossings'!$O306)-1)","v":8.9126220475187035E-2},4.4563110237593513,null,null,{"$f":"ROW()","v":388}]
[null,{"$f":"B377","v":"Triborough Br (Bx-Queens only)"},null,null,null,null,{"$f":"G377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":1.3370306928721969},{"$f":"H377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.17827075904962625},{"$f":"I377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.17827075904962625},{"$f":"J377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":1.3370306928721969},{"$f":"K377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.1337030692872197},{"$f":"L377*$E377*((1+$F377)*'MTA Crossings'!$O307-1)","v":0},{"$f":"M377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.5348122771488788},{"$f":"N377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.1337030692872197},{"$f":"O377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0.22283844881203285},{"$f":"P377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":4.4567689762406562E-2},{"$f":"Q377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":4.4567689762406562E-2},{"$f":"R377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":4.4567689762406562E-2},{"$f":"S377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":0},{"$f":"T377*$E377*((1+$F377)*'MTA Crossings'!$O307-1)","v":0},{"$f":"U377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":8.9135379524813124E-2},{"$f":"V377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":8.9135379524813124E-2},{"$f":"W377*$E377*((1+$F377)*(1+'MTA Crossings'!$O307)-1)","v":8.9135379524813124E-2},4.4567689762406575,null,null,{"$f":"ROW()","v":389}]
[null,"Bronx-Whitestone Br",null,null,null,null,{"$f":"G378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"H378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"I378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"J378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"K378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"L378*$E378*((1+$F378)*'MTA Crossings'!$O308-1)","v":0},{"$f":"M378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"N378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"O378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"P378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"Q378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"R378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"S378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"T378*$E378*((1+$F378)*'MTA Crossings'!$O308-1)","v":0},{"$f":"U378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"V378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},{"$f":"W378*$E378*((1+$F378)*(1+'MTA Crossings'!$O308)-1)","v":0},0,null,null,{"$f":"ROW()","v":390}]
[null,"Throgs Neck Br",null,null,null,null,{"$f":"G379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"H379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"I379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"J379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"K379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"L379*$E379*((1+$F379)*'MTA Crossings'!$O309-1)","v":0},{"$f":"M379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"N379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"O379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"P379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"Q379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"R379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"S379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"T379*$E379*((1+$F379)*'MTA Crossings'!$O309-1)","v":0},{"$f":"U379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"V379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},{"$f":"W379*$E379*((1+$F379)*(1+'MTA Crossings'!$O309)-1)","v":0},0,null,null,{"$f":"ROW()","v":391}]
[null,"Brooklyn-Battery Tun",null,null,null,null,0,0,0,0,0,{"$f":"L380*$F380*$E380","v":0},0,0,0,0,0,0,0,{"$f":"T380*$F380*$E380","v":0},0,0,0,0,null,null,{"$f":"ROW()","v":392}]
[null,"Queens Midtown Tun",null,null,null,null,{"$f":"G381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"H381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"I381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"J381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"K381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"L381*$F381*$E381","v":0},{"$f":"M381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"N381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"O381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"P381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"Q381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"R381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"S381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"T381*$F381*$E381","v":0},{"$f":"U381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"V381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},{"$f":"W381*$E381*((1+$F381)*(1+'MTA Crossings'!$O311)-1)","v":0},0,null,null,{"$f":"ROW()","v":393},null,null,"Free trips by Queens residents that will face toll, avg wkday"]
[null,"Henry Hudson Br",null,null,null,null,{"$f":"G382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-1.1519280000000012},{"$f":"H382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-8.5328000000000084E-2},{"$f":"I382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-0.63996000000000064},{"$f":"J382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"K382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"L382*$E382*((1+$F382)*'MTA Crossings'!$O312-1)","v":0},{"$f":"M382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"N382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":0},{"$f":"O382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-1.7065600000000014},{"$f":"P382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-0.12799200000000011},{"$f":"Q382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-0.21332000000000018},{"$f":"R382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"S382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"T382*$E382*((1+$F382)*'MTA Crossings'!$O312-1)","v":0},{"$f":"U382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-8.5328000000000084E-2},{"$f":"V382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":-4.2664000000000042E-2},{"$f":"W382*$E382*((1+$F382)*(1+'MTA Crossings'!$O312)-1)","v":0},-4.2664000000000053,null,null,{"$f":"ROW()","v":394},null,null,"Auto trips to CBD by Queens res, wkday",null,null,{"$f":"J151","v":102826.7804506878}]
[null,"Marine Parkway Br",null,null,null,null,{"$f":"G383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"H383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"I383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"J383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"K383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"L383*$E383*((1+$F383)*'MTA Crossings'!$O313-1)","v":0},{"$f":"M383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"N383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"O383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"P383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"Q383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"R383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"S383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"T383*$E383*((1+$F383)*'MTA Crossings'!$O313-1)","v":0},{"$f":"U383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"V383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},{"$f":"W383*$E383*((1+$F383)*(1+'MTA Crossings'!$O313)-1)","v":0},0,null,null,{"$f":"ROW()","v":395},null,null,{"$f":"CONCATENATE(\"Copied from Cell J\",AA151, \".\")","v":"Copied from Cell J151."}]
[null,"Cross Bay Br",null,null,null,null,{"$f":"G384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"H384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"I384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"J384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"K384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"L384*$E384*((1+$F384)*'MTA Crossings'!$O314-1)","v":0},{"$f":"M384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"N384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"O384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"P384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"Q384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"R384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"S384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"T384*$E384*((1+$F384)*'MTA Crossings'!$O314-1)","v":0},{"$f":"U384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"V384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},{"$f":"W384*$E384*((1+$F384)*(1+'MTA Crossings'!$O314)-1)","v":0},0,null,null,{"$f":"ROW()","v":396},null,null,"Double # to convert round to each way:",null,null,{"$f":"2*AG394","v":205653.5609013756}]
[null,"T O T A L",null,null,null,null,{"$f":"SUM(G387:G396)","v":1.3841256488120339},{"$f":"SUM(H387:H396)","v":2.3098800000000019},{"$f":"SUM(I387:I396)","v":0.42539194332630903},{"$f":"SUM(J387:J396)","v":2.7886073385744412},{"$f":"SUM(K387:K396)","v":3.83280888976241},null,{"$f":"SUM(M387:M396)","v":1.7872313795248147},0.39271968976240684,-1.1759608000000008,-3.8861200000000026E-2,-0.1241892000000001,4.6466800000000037E-2,-4.2664000000000042E-2,null,{"$f":"SUM(U387:U396)","v":0.94238560000000082},{"$f":"SUM(V387:V396)","v":0.18016071023759364},{"$f":"SUM(W387:W396)","v":0.4330972000000004},{"$f":"SUM(X387:X396)","v":13.141200000000012},null,null,{"$f":"ROW()","v":397},null,null,"Truck % to add to auto trips",null,null,{"$f":"'Motor Vs'!M85/SUM('Motor Vs'!I85:K85)","v":8.3934831924108069E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398},null,null,{"$f":"CONCATENATE(\"Ratio of truck trips to sum of auto work, auto non-work + auto thru, all from Motor Vs tab, Row \",'Motor Vs'!O85, \".\")","v":"Ratio of truck trips to sum of auto work, auto non-work + auto thru, all from Motor Vs tab, Row 85."}]
[null,"Combined rev. from cordon toll + taxi surcharge, millions",null,null,null,null,{"$f":"G363+G397","v":108.0371694044188},{"$f":"H363+H397","v":234.4397736706575},{"$f":"I363+I397","v":539.55246693129368},{"$f":"J363+J397","v":223.95975275386056},{"$f":"K363+K397","v":57.162221784760497},{"$f":"SUM(G399:K399)","v":1163.1513845449911},{"$f":"M363+M397","v":88.271018557512107},47.257738664007498,76.009922161148197,31.508220011635256,6.3764949773154074,10.368930359623846,13.273167403487658,{"$f":"SUM(L399:S399)","v":1436.2168766797211},{"$f":"U363+U397","v":136.39812302433802},{"$f":"V363+V397","v":39.623356203967532},{"$f":"W363+W397","v":49.992878079846101},{"$f":"X363+X397","v":1662.2312339878727},null,null,{"$f":"ROW()","v":399},null,null,"Auto + truck trips to/from CBD by Q res",null,null,{"$f":"AG396*(1+AG397)","v":222915.05797022689}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA363, \" and \",AA397, \".\")","v":"Sum of Rows 363 and 397."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400},null,null,{"$f":"CONCATENATE(\"Augment Row \",AA396, \" by percent in Row \",AA397, \".\")","v":"Augment Row 396 by percent in Row 397."}]
[null,"County shares of toll + taxi revenue",null,null,null,null,{"$f":"ROUND(IF($X$363=0,\"NA\",G399/$X$399)*100,1)/100","v":6.5000000000000002E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",H399/$X$399)*100,1)/100","v":0.14099999999999999},{"$f":"ROUND(IF($X$363=0,\"NA\",I399/$X$399)*100,1)/100","v":0.32500000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",J399/$X$399)*100,1)/100","v":0.13500000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",K399/$X$399)*100,1)/100","v":3.4000000000000002E-2},{"$f":"SUM(G401:K401)","v":0.70000000000000007},{"$f":"ROUND(IF($X$363=0,\"NA\",M399/$X$399)*100,1)/100","v":5.2999999999999999E-2},2.7999999999999997E-2,4.5999999999999999E-2,1.9E-2,4.0000000000000001E-3,6.0000000000000001E-3,8.0000000000000002E-3,{"$f":"T399/$X$399","v":0.86402953290324191},{"$f":"ROUND(IF($X$363=0,\"NA\",U399/$X$399)*100,1)/100","v":8.199999999999999E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",V399/$X$399)*100,1)/100","v":2.4E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",W399/$X$399)*100,1)/100","v":0.03},{"$f":"ROUND(IF($X$363=0,\"NA\",X399/$X$399)*100,1)/100","v":1},null,null,{"$f":"ROW()","v":401},null,null,"Est % of QMT trips made by Q res.",null,null,0.3]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA399, \" to Row Total in Cell X\",AA399, \". Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario.\")","v":"Ratio of respective columns in Row 399 to Row Total in Cell X399. Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402},null,null,"Komanoff est."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403},null,null,{"$f":"CONCATENATE(\"Trips in Row \",AA399, \" already pay QMT toll\")","v":"Trips in Row 399 already pay QMT toll"},null,null,{"$f":"AG401*AF381","v":23496.363636363636}]
[null,"Share Reduction from MTA Bridge Discount & Taxi Surchrg",null,null,null,null,{"$f":"G276-G401","v":5.0766617299122491E-2},{"$f":"H276-H401","v":8.6889932862501129E-3},{"$f":"I276-I401","v":-0.24544527924385334},{"$f":"J276-J401","v":6.1267024170501894E-2},{"$f":"K276-K401","v":2.9070194918732958E-2},null,{"$f":"M276-M401","v":3.0139397576126777E-2},9.2024497456073898E-3,1.3190445113914116E-2,1.7043520120420794E-2,9.9615690350232221E-4,1.5097032554158545E-3,2.4728724910510896E-3,null,{"$f":"U276-U401","v":3.7616896434253783E-2},{"$f":"V276-V401","v":1.1683741408744057E-3},{"$f":"W276-W401","v":-1.7687366211920644E-2},{"$f":"X276-X401","v":0},null,null,{"$f":"ROW()","v":404},null,null,{"$f":"CONCATENATE(\"Product of Rows \",AA401, \" and \",AA381, \".\")","v":"Product of Rows 401 and 381."}]
[null,{"$f":"CONCATENATE(\"Row \",AA276, \" less Row \",AA401, \". Positive % indicates reduction.\")","v":"Row 276 less Row 401. Positive % indicates reduction."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405},null,null,"Est % of BBT trips made by Q res.",null,null,0.03]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406},null,null,"Komanoff est."]
[null,"5. DOLLAR BUS FARES IN OUTLYING AREAS OF NEW YORK CITY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407},null,null,{"$f":"CONCATENATE(\"Trips in Rowl \",AA399, \" already pay BBT toll\")","v":"Trips in Rowl 399 already pay BBT toll"},null,null,{"$f":"AG405*AF380","v":1611.5454545454545}]
[null,null,null,null,null,null,{"$f":"G273","v":"Bronx"},{"$f":"H273","v":"Brooklyn"},{"$f":"I273","v":"Manhattan"},{"$f":"J273","v":"Queens"},{"$f":"K273","v":"S.I."},null,{"$f":"M273","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U273","v":"NJ"},{"$f":"V273","v":"CT"},{"$f":"W273","v":"Other"},{"$f":"X273","v":"Total"},null,null,{"$f":"ROW()","v":408},null,null,{"$f":"CONCATENATE(\"Product of Rows \",AA405, \" and \",AA380, \".\")","v":"Product of Rows 405 and 380."}]
[null,"Annual fare impacts, by borough ($, millions)",null,null,null,null,{"$f":"IF('Policy Levers'!$K$255=\"YES\",-Buses!J310,0)","v":0},{"$f":"IF('Policy Levers'!$K$255=\"YES\",-Buses!J311,0)","v":0},0,{"$f":"IF('Policy Levers'!$K$255=\"YES\",-Buses!J313,0)","v":0},{"$f":"IF('Policy Levers'!$K$255=\"YES\",-Buses!J314,0)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(G409:W409)","v":0},null,null,{"$f":"ROW()","v":409},null,null,{"$f":"CONCATENATE(\"Trips in Row \",AA399, \" already pay toll\")","v":"Trips in Row 399 already pay toll"},null,null,{"$f":"AG403+AG407","v":25107.909090909092}]
[null,{"$f":"CONCATENATE(\"From 'Buses' worksheet, Cells J\",Buses!O310, \" to J\",Buses!O314, \". Formula includes 'IF' statement to return zero values unless selected scenario is Sam Schwartz Plan.\")","v":"From 'Buses' worksheet, Cells J310 to J314. Formula includes 'IF' statement to return zero values unless selected scenario is Sam Schwartz Plan."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410},null,null,{"$f":"CONCATENATE(\"Sum of Rows \",AA407, \" and \",AA403, \".\")","v":"Sum of Rows 407 and 403."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411},null,null,"Q res auto + truck trips tp pay new toll",null,null,{"$f":"AG399-AG409","v":197807.1488793178}]
[null,"Cordon toll + taxi surchrg, less NYC $ fares ($ millions)",null,null,null,null,{"$f":"G399+G409","v":108.0371694044188},{"$f":"H399+H409","v":234.4397736706575},{"$f":"I399+I409","v":539.55246693129368},{"$f":"J399+J409","v":223.95975275386056},{"$f":"K399+K409","v":57.162221784760497},{"$f":"SUM(G412:K412)","v":1163.1513845449911},{"$f":"M399+M409","v":88.271018557512107},47.257738664007498,76.009922161148197,31.508220011635256,6.3764949773154074,10.368930359623846,13.273167403487658,{"$f":"SUM(L412:S412)","v":1436.2168766797211},{"$f":"U399+U409","v":136.39812302433802},{"$f":"V399+V409","v":39.623356203967532},{"$f":"W399+W409","v":49.992878079846101},{"$f":"SUM(G412:W412)-L412-T412","v":1662.2312339878729},null,null,{"$f":"ROW()","v":412},null,null,{"$f":"CONCATENATE(\"Row \",AA399, \" less Row \",AA409, \".\")","v":"Row 399 less Row 409."}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA399, \" and \",AA409, \".\")","v":"Sum of Rows 399 and 409."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,"County shares of toll + taxi revenue",null,null,null,null,{"$f":"ROUND(IF($X$363=0,\"NA\",G412/$X412)*100,1)/100","v":6.5000000000000002E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",H412/$X412)*100,1)/100","v":0.14099999999999999},{"$f":"ROUND(IF($X$363=0,\"NA\",I412/$X412)*100,1)/100","v":0.32500000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",J412/$X412)*100,1)/100","v":0.13500000000000001},{"$f":"ROUND(IF($X$363=0,\"NA\",K412/$X412)*100,1)/100","v":3.4000000000000002E-2},{"$f":"SUM(G414:K414)","v":0.70000000000000007},{"$f":"ROUND(IF($X$363=0,\"NA\",M412/$X412)*100,1)/100","v":5.2999999999999999E-2},2.7999999999999997E-2,4.5999999999999999E-2,1.9E-2,4.0000000000000001E-3,6.0000000000000001E-3,8.0000000000000002E-3,{"$f":"T412/$X$399","v":0.86402953290324191},{"$f":"ROUND(IF($X$363=0,\"NA\",U412/$X412)*100,1)/100","v":8.199999999999999E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",V412/$X412)*100,1)/100","v":2.4E-2},{"$f":"ROUND(IF($X$363=0,\"NA\",W412/$X412)*100,1)/100","v":0.03},{"$f":"ROUND(IF($X$363=0,\"NA\",X412/$X412)*100,1)/100","v":1},null,null,{"$f":"ROW()","v":414}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA412, \" to Row Total in Cell X\",AA412, \". Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario.\")","v":"Ratio of respective columns in Row 412 to Row Total in Cell X412. Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,"6. ELIMINATING PARTIAL EXEMPTION ENJOYED BY MANHATTAN MONTHLY GARAGE PARKERS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,"Annual payments, by borough ($, millions)",null,null,null,null,{"$f":"IF(AND(G428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(H428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(I428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(J428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(K428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},null,{"$f":"IF(AND(M428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(N428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(O428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(P428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(Q428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(R428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(S428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"SUM(L419:S419)","v":0},{"$f":"IF(AND(U428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(V428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(W428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},{"$f":"IF(AND(X428=\"Manhattan\",'Policy Levers'!$K119=\"YES\"),Parking!$I$484/1000000,0)","v":0},null,null,{"$f":"ROW()","v":419}]
[null,"IF Statement that returns revenue raised by zeroing exemption, as est'd in 'Parking' tab, and applies entire amount to Manhattan column.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,"7. TOTAL, ALL NEW PRICING CHARGES (INCUDING ANY DISCOUNTS)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,"Total",null,null,null,null,{"$f":"G412+G419","v":108.0371694044188},{"$f":"H412+H419","v":234.4397736706575},{"$f":"I412+I419","v":539.55246693129368},{"$f":"J412+J419","v":223.95975275386056},{"$f":"K412+K419","v":57.162221784760497},{"$f":"SUM(G424:K424)","v":1163.1513845449911},{"$f":"M412+M419","v":88.271018557512107},47.257738664007498,76.009922161148197,31.508220011635256,6.3764949773154074,10.368930359623846,13.273167403487658,{"$f":"SUM(L424:S424)","v":1436.2168766797211},{"$f":"U412+U419","v":136.39812302433802},{"$f":"V412+V419","v":39.623356203967532},{"$f":"W412+W419","v":49.992878079846101},{"$f":"SUM(G424:W424)-L424-T424","v":1662.2312339878729},null,null,{"$f":"ROW()","v":424}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA412, \" and \",AA419, \".\")","v":"Sum of Rows 412 and 419."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,"County shares of toll + taxi revenue",null,null,null,null,{"$f":"IF($X$363<0.1,\"NA\",G424/$X424)","v":6.4995270931846177E-2},{"$f":"IF($X$363<0.1,\"NA\",H424/$X424)","v":0.14103920614474982},{"$f":"IF($X$363<0.1,\"NA\",I424/$X424)","v":0.32459531255278412},{"$f":"IF($X$363<0.1,\"NA\",J424/$X424)","v":0.13473441490842211},{"$f":"IF($X$363<0.1,\"NA\",K424/$X424)","v":3.4388850730245356E-2},{"$f":"SUM(G426:K426)","v":0.69975305526804754},{"$f":"IF($X$363<0.1,\"NA\",M424/$X424)","v":5.3103934490353888E-2},2.8430303617043136E-2,4.5727646435082411E-2,1.8955377186628614E-2,3.8361058599636014E-3,6.2379590442105089E-3,7.9851510019119856E-3,{"$f":"T424/$X$399","v":0.86402953290324191},{"$f":"IF($X$363<0.1,\"NA\",U424/$X424)","v":8.2057249458069761E-2},{"$f":"IF($X$363<0.1,\"NA\",V424/$X424)","v":2.383745136884885E-2},{"$f":"IF($X$363<0.1,\"NA\",W424/$X424)","v":3.0075766269839467E-2},{"$f":"IF($X$363<0.1,\"NA\",X424/$X424)","v":1},null,null,{"$f":"ROW()","v":426}]
[null,{"$f":"CONCATENATE(\"Ratio of respective columns in Row \",AA424, \" to Row Total in Cell X\",AA424, \". Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario.\")","v":"Ratio of respective columns in Row 424 to Row Total in Cell X424. Formula includes 'IF' statement to avert dividing by zero in the event user selected 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,{"$f":"G273","v":"Bronx"},{"$f":"H273","v":"Brooklyn"},{"$f":"I273","v":"Manhattan"},{"$f":"J273","v":"Queens"},{"$f":"K273","v":"S.I."},null,{"$f":"M273","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,{"$f":"U273","v":"NJ"},{"$f":"V273","v":"CT"},{"$f":"W273","v":"Other"},{"$f":"X273","v":"Total"},null,null,{"$f":"ROW()","v":428}]
[null,"Lookup tables",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,"Borough or County whose residents will bear the highest share of the new tolls",null,null,null,null,{"$f":"HLOOKUP(MAX(G426:K426),G426:K428,3)","v":"Manhattan"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,"Borough or County whose residents will bear the highest share of the new tolls",null,null,null,null,{"$f":"HLOOKUP(LARGE(G426:K426,2),G426:K428,3)","v":"Brooklyn"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,"B. County by County (or State) Trips and Trip-Taking Vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"1. TRIPS",null,null,null,null,{"$f":"G243","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":435}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"Trips to or through CBD per month",null,null,null,null,{"$f":"G209*1000/12","v":1353760.005771212},{"$f":"H209*1000/12","v":2182371.6515568057},{"$f":"I209*1000/12","v":1154681.3577886627},{"$f":"J209*1000/12","v":2977454.8676874507},{"$f":"K209*1000/12","v":832980.46537380805},{"$f":"SUM(G437:K437)","v":8501248.3481779397},{"$f":"M209*1000/12","v":1119323.1215339678},500864.3722710961,778142.92690860725,415223.72351493244,56968.749587571721,84764.552913722888,120648.18023053215,{"$f":"SUM(L437:S437)","v":11577183.97513837},{"$f":"U209*1000/12","v":2970343.7386426162},{"$f":"V209*1000/12","v":284083.92569679319},{"$f":"W209*1000/12","v":131863.18713840263},{"$f":"SUM(T437:W437)","v":14963474.826616183},null,null,{"$f":"ROW()","v":437}]
[null,{"$f":"CONCATENATE(\"Row \",AA209, \" divided by 12.\")","v":"Row 209 divided by 12."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,"Work trips to or through CBD per month",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,"Autos used for regular weekday commutes (incl. carpoolers)",null,null,null,null,{"$f":"G92+G127","v":29213.961410728632},{"$f":"H92+H127","v":47095.290849671816},{"$f":"I92+I127","v":25395.929094140949},{"$f":"J92+J127","v":64253.081222660679},{"$f":"K92+K127","v":17975.607986334475},{"$f":"SUM(G441:K441)","v":183933.87056353653},{"$f":"M92+M127","v":25449.286865484384},11387.811835030576,17692.105334253862,9440.6587783199047,1295.2596285469126,1927.2338627022637,2743.0954381409138,{"$f":"SUM(L441:S441)","v":253869.32230601535},{"$f":"U92+U127","v":67534.680950944079},{"$f":"V92+V127","v":6459.0225823466481},{"$f":"W92+W127","v":6305.9937801723272},{"$f":"SUM(T441:W441)","v":334169.01961947838},null,null,{"$f":"ROW()","v":441}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA92, \" (autos into CBD) and \",AA127, \" (autos through CBD).\")","v":"Sum of Rows 92 (autos into CBD) and 127 (autos through CBD)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Their trips per month (covers regular weekday autos)",null,null,null,null,{"$f":"G441*$K97*weekday_per_mo","v":517330.56664831948},{"$f":"H441*$K97*weekday_per_mo","v":833979.10879627161},{"$f":"I441*$K97*weekday_per_mo","v":449719.5777087459},{"$f":"J441*$K97*weekday_per_mo","v":1137814.9799846162},{"$f":"K441*$K97*weekday_per_mo","v":318318.0580913396},{"$f":"SUM(G443:K443)","v":3257162.2912292928},{"$f":"M441*$K98*weekday_per_mo","v":424154.78109140642},189796.86391717626,294868.42223756434,157344.31297199841,21587.660475781879,32120.564378371058,45718.25730234856,{"$f":"SUM(L443:S443)","v":4422753.1536039403},{"$f":"U441*$K98*weekday_per_mo","v":1125578.0158490681},{"$f":"V441*$K98*weekday_per_mo","v":107650.37637244414},{"$f":"W441*$K98*weekday_per_mo","v":105099.89633620545},{"$f":"SUM(T443:W443)","v":5761081.4421616578},null,null,{"$f":"ROW()","v":443}]
[null,{"$f":"CONCATENATE(\"Product of (i) commuting autos, from Row \",AA441, \", (ii) % of weekdays that those autos are used, from Rows \",AA97,\"-\",AA100, \", and (iii) avg number of weekdays per month, from 'Constants' tab.\")","v":"Product of (i) commuting autos, from Row 441, (ii) % of weekdays that those autos are used, from Rows 97-100, and (iii) avg number of weekdays per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Autos used for regular weekend commuting (incl. carpoolers)",null,null,null,null,{"$f":"G155+G171","v":11328.460875914472},{"$f":"H155+H171","v":18262.403798287673},{"$f":"I155+I171","v":9323.4454788723706},{"$f":"J155+J171","v":24915.775938574156},{"$f":"K155+K171","v":6970.5018409171262},{"$f":"SUM(G445:K445)","v":70800.587932565802},{"$f":"M155+M171","v":9409.9557178187297},4210.6800735475217,6541.7128829690173,3490.7139646223686,478.92641597887854,712.60092283783797,1014.2683659110565,{"$f":"SUM(L445:S445)","v":96659.446276251212},{"$f":"U155+U171","v":24971.16561750479},{"$f":"V155+V171","v":2388.2443858458319},{"$f":"W155+W171","v":1156.6707714696765},{"$f":"SUM(T445:W445)","v":125175.52705107151},null,null,{"$f":"ROW()","v":445}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA155, \" (autos into CBD) and \",AA171, \" (autos through CBD).\")","v":"Sum of Rows 155 (autos into CBD) and 171 (autos through CBD)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446}]
[null,"Their trips per month (covers regular weekend autos)",null,null,null,null,{"$f":"G445*$K173*wkend_per_mo","v":78437.791085628633},{"$f":"H445*$K173*wkend_per_mo","v":126448.12296585225},{"$f":"I445*$K173*wkend_per_mo","v":64555.148018817337},{"$f":"J445*$K173*wkend_per_mo","v":172515.79444135667},{"$f":"K445*$K173*wkend_per_mo","v":48263.464308933471},{"$f":"SUM(G447:K447)","v":490220.32082058839},{"$f":"M445*$K174*wkend_per_mo","v":61321.544761118734},27439.59847928469,42630.162287348103,22747.819336122437,3121.0038107956925,4643.7826804932447,6609.648851187053,{"$f":"SUM(L447:S447)","v":658733.88102693832},{"$f":"U445*$K174*wkend_per_mo","v":162728.76260740624},{"$f":"V445*$K174*wkend_per_mo","v":15563.392581095339},{"$f":"W445*$K174*wkend_per_mo","v":7537.6378607440593},{"$f":"SUM(T447:W447)","v":844563.67407618393},null,null,{"$f":"ROW()","v":447}]
[null,{"$f":"CONCATENATE(\"Product of (i) commuting autos, from Row \",AA445, \", (ii) % of weekdays that those autos are used, from Rows \",AA173,\"-\",AA176, \", and (iii) avg number of weekend days per month, from 'Constants' tab.\")","v":"Product of (i) commuting autos, from Row 445, (ii) % of weekdays that those autos are used, from Rows 173-176, and (iii) avg number of weekend days per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"% of regular weekend autos that are also used reg'ly on wkdays",null,null,null,null,0.1,0.1,0.1,0.1,0.1,null,0.1,0.1,0.1,0.1,0.1,0.1,0.1,null,0.1,0.1,0.1,null,null,null,{"$f":"ROW()","v":449}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null,"Autos used for regular commuting, all days (incl carpoolers)",null,null,null,null,{"$f":"G441+(1-G449)*G445","v":39409.576199051662},{"$f":"H441+(1-H449)*H445","v":63531.454268130721},{"$f":"I441+(1-I449)*I445","v":33787.030025126085},{"$f":"J441+(1-J449)*J445","v":86677.279567377424},{"$f":"K441+(1-K449)*K445","v":24249.05964315989},{"$f":"SUM(G451:K451)","v":247654.39970284575},{"$f":"M441+(1-M449)*M445","v":33918.247011521242},15177.423901223345,23579.646928925977,12582.301346480037,1726.2934029279033,2568.5746932563179,3655.9369674608647,{"$f":"SUM(L451:S451)","v":340862.82395464141},{"$f":"U441+(1-U449)*U445","v":90008.730006698388},{"$f":"V441+(1-V449)*V445","v":8608.4425296078971},{"$f":"W441+(1-W449)*W445","v":7346.9974744950359},{"$f":"SUM(T451:W451)","v":446826.99396544276},null,null,{"$f":"ROW()","v":451}]
[null,{"$f":"CONCATENATE(\"Sum of Row \",AA441, \" (weekday regular autos) and product of Row \",AA445, \" (weekend regular autos) and complement of Row \",AA449, \"(to adjust for weekend regular autos that are also used on weekdays).\")","v":"Sum of Row 441 (weekday regular autos) and product of Row 445 (weekend regular autos) and complement of Row 449(to adjust for weekend regular autos that are also used on weekdays)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"Work trips per month by commuting regulars",null,null,null,null,{"$f":"G443+G447","v":595768.35773394816},{"$f":"H443+H447","v":960427.23176212388},{"$f":"I443+I447","v":514274.72572756326},{"$f":"J443+J447","v":1310330.7744259727},{"$f":"K443+K447","v":366581.52240027307},{"$f":"SUM(G453:K453)","v":3747382.6120498809},{"$f":"M443+M447","v":485476.32585252513},217236.46239646096,337498.58452491247,180092.13230812084,24708.664286577572,36764.347058864303,52327.906153535616,{"$f":"SUM(L453:S453)","v":5081487.034630877},{"$f":"U443+U447","v":1288306.7784564742},{"$f":"V443+V447","v":123213.76895353947},{"$f":"W443+W447","v":112637.53419694951},{"$f":"SUM(T453:W453)","v":6605645.1162378406},null,null,{"$f":"ROW()","v":453}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA443, \" (weekdays) and \",AA447, \" (weekends).\")","v":"Sum of Rows 443 (weekdays) and 447 (weekends)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Autos used for other work trips on typical weekday (incl. carpool)",null,null,null,null,{"$f":"G105+G125","v":3743.6536606676036},{"$f":"H105+H125","v":6035.0753364393531},{"$f":"I105+I125","v":3237.9809595029706},{"$f":"J105+J125","v":8233.7783413395409},{"$f":"K105+K125","v":2303.5030989002889},{"$f":"SUM(G455:K455)","v":23553.991396849757},{"$f":"M105+M125","v":3109.6558972657836},1391.4800998916674,2161.8035891734917,1153.5568913678362,158.26815752011962,235.48927631015334,335.17964377802235,{"$f":"SUM(L455:S455)","v":32099.424952156831},{"$f":"U105+U125","v":8252.0826614553243},{"$f":"V105+V125","v":789.2298817617509},{"$f":"W105+W125","v":382.23857726393294},{"$f":"SUM(T455:W455)","v":41522.976072637837},null,null,{"$f":"ROW()","v":455}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA105, \" (other autos into CBD) and \",AA125, \" (other autos through CBD).\")","v":"Sum of Rows 105 (other autos into CBD) and 125 (other autos through CBD)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":456}]
[null,"Their trips per month",null,null,null,null,{"$f":"G455*weekday_per_mo","v":77992.784597241742},{"$f":"H455*weekday_per_mo","v":125730.73617581985},{"$f":"I455*weekday_per_mo","v":67457.936656311882},{"$f":"J455*weekday_per_mo","v":171537.0487779071},{"$f":"K455*weekday_per_mo","v":47989.647893756017},{"$f":"SUM(G457:K457)","v":490708.15410103661},{"$f":"M455*weekday_per_mo","v":64784.497859703821},28989.168747743068,45037.574774447741,24032.435236829919,3297.2532816691582,4906.0265897948611,6982.9092453754656,{"$f":"SUM(L457:S457)","v":668738.01983660052},{"$f":"U455*weekday_per_mo","v":171918.38878031925},{"$f":"V455*weekday_per_mo","v":16442.289203369808},{"$f":"W455*weekday_per_mo","v":7963.3036929986029},{"$f":"SUM(T457:W457)","v":865062.00151328812},null,null,{"$f":"ROW()","v":457}]
[null,{"$f":"CONCATENATE(\"Product of (i) commuting autos, from Row \",AA455, \", and (ii) avg number of weekdays per month, from 'Constants' tab.\")","v":"Product of (i) commuting autos, from Row 455, and (ii) avg number of weekdays per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458}]
[null,"Autos used for other work trips on typical weekend (incl. carpool)",null,null,null,null,{"$f":"G165+G181","v":2864.6845439968715},{"$f":"H165+H181","v":4618.1053604919944},{"$f":"I165+I181","v":2357.6662754698505},{"$f":"J165+J181","v":6300.5768404669379},{"$f":"K165+K181","v":1762.6656530219179},{"$f":"SUM(G459:K459)","v":17903.698673447572},{"$f":"M165+M181","v":2239.5694608408576},1002.1418575043101,1556.9276661466263,830.78992358012363,113.9844870029731,169.59901963540543,241.39587108683145,{"$f":"SUM(L459:S459)","v":24058.106959244702},{"$f":"U165+U181","v":5943.1374169661403},{"$f":"V165+V181","v":568.40216383130792},{"$f":"W165+W181","v":120.43834407928006},{"$f":"SUM(T459:W459)","v":30690.084884121432},null,null,{"$f":"ROW()","v":459}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA165, \" (other autos into CBD) and \",AA181, \" (other autos through CBD).\")","v":"Sum of Rows 165 (other autos into CBD) and 181 (other autos through CBD)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":460}]
[null,"Their trips per month",null,null,null,null,{"$f":"G459*wkend_per_mo","v":27453.226879970021},{"$f":"H459*wkend_per_mo","v":44256.843038048282},{"$f":"I459*wkend_per_mo","v":22594.301806586067},{"$f":"J459*wkend_per_mo","v":60380.528054474824},{"$f":"K459*wkend_per_mo","v":16892.212508126715},{"$f":"SUM(G461:K461)","v":171577.11228720591},{"$f":"M459*wkend_per_mo","v":21462.540666391553},9603.8594677496385,14920.556800571836,7961.7367676428521,1092.3513337784923,1625.3239381726355,2313.3770979154683,{"$f":"SUM(L461:S461)","v":230556.85835942836},{"$f":"U459*wkend_per_mo","v":56955.066912592185},{"$f":"V459*wkend_per_mo","v":5447.1874033833683},{"$f":"W459*wkend_per_mo","v":1154.2007974264341},{"$f":"SUM(T461:W461)","v":294113.31347283034},null,null,{"$f":"ROW()","v":461}]
[null,{"$f":"CONCATENATE(\"Product of (i) commuting autos, from Row \",AA459, \", and (ii) avg number of weekend days per month, from 'Constants' tab.\")","v":"Product of (i) commuting autos, from Row 459, and (ii) avg number of weekend days per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":462}]
[null,"Work trips per month by commuting irregulars",null,null,null,null,{"$f":"G457+G461","v":105446.01147721177},{"$f":"H457+H461","v":169987.57921386813},{"$f":"I457+I461","v":90052.238462897949},{"$f":"J457+J461","v":231917.57683238192},{"$f":"K457+K461","v":64881.860401882732},{"$f":"SUM(G463:K463)","v":662285.2663882426},{"$f":"M457+M461","v":86247.038526095377},38593.028215492704,59958.131575019579,31994.17200447277,4389.6046154476508,6531.3505279674964,9296.2863432909344,{"$f":"SUM(L463:S463)","v":899294.87819602911},{"$f":"U457+U461","v":228873.45569291143},21889.476606753175,9117.5044904250371,{"$f":"SUM(T463:W463)","v":1159175.3149861188},null,null,{"$f":"ROW()","v":463}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA457, \" (weekdays) and \",AA461, \" (weekends).\")","v":"Sum of Rows 457 (weekdays) and 461 (weekends)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"Total work trips to or through CBD per month",null,null,null,null,{"$f":"G453+G463","v":701214.36921115988},{"$f":"H453+H463","v":1130414.8109759921},{"$f":"I453+I463","v":604326.96419046121},{"$f":"J453+J463","v":1542248.3512583547},{"$f":"K453+K463","v":431463.3828021558},{"$f":"SUM(G465:K465)","v":4409667.8784381244},{"$f":"M453+M463","v":571723.36437862052},255829.49061195366,397456.71609993203,212086.30431259359,29098.268902025222,43295.697586831797,61624.192496826552,{"$f":"SUM(L465:S465)","v":5980781.9128269078},1517180.2341493857,145103.24556029265,121755.03868737454,{"$f":"SUM(T465:W465)","v":7764820.4312239615},null,null,{"$f":"ROW()","v":465}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA453, \" (regular) and \",AA463, \" (other).\")","v":"Sum of Rows 453 (regular) and 463 (other)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,null,null,null,null,null,{"$f":"G435","v":"Bronx"},"Brooklyn","Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","MTA 12-Co's","NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":467}]
[null,"Non-Work trips to or through CBD per month",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":468}]
[null,"Autos used for non-work trips on typical weekday",null,null,null,null,{"$f":"G147","v":18050.928294094771},{"$f":"H147","v":29099.570105023995},{"$f":"I147","v":15597.92702034266},{"$f":"J147","v":39701.146500417984},{"$f":"K147","v":11106.895304000747},{"$f":"SUM(G469:K469)","v":113556.46722388016},{"$f":"M147","v":14993.955293087543},6709.3566292468204,10423.656970214637,5562.152543119164,763.12806193848292,1135.4682954151281,1616.1494261727089,{"$f":"SUM(L469:S469)","v":154760.33444307465},{"$f":"U147","v":39789.405190946331},{"$f":"V147","v":3805.4620684910574},{"$f":"W147","v":1843.0554145325577},{"$f":"SUM(T469:W469)","v":200198.25711704459},null,null,{"$f":"ROW()","v":469}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA147, \", which summed weekday 'into' and 'through' non-work trips.\")","v":"Copied from Row 147, which summed weekday 'into' and 'through' non-work trips."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,"Their trips per month",null,null,null,null,{"$f":"G469*weekday_per_mo","v":376061.00612697436},{"$f":"H469*weekday_per_mo","v":606241.04385466652},{"$f":"I469*weekday_per_mo","v":324956.81292380538},{"$f":"J469*weekday_per_mo","v":827107.21875870798},{"$f":"K469*weekday_per_mo","v":231393.65216668221},{"$f":"SUM(G471:K471)","v":2365759.7338308366},{"$f":"M469*weekday_per_mo","v":312374.0686059905},139778.26310930875,217159.52021280493,115878.17798164925,15898.50129038506,23655.589487815167,33669.779711931435,{"$f":"SUM(L471:S471)","v":3224173.6342307217},{"$f":"U469*weekday_per_mo","v":828945.94147804845},{"$f":"V469*weekday_per_mo","v":79280.459760230355},{"$f":"W469*weekday_per_mo","v":38396.987802761614},{"$f":"SUM(T471:W471)","v":4170797.0232717623},null,null,{"$f":"ROW()","v":471}]
[null,{"$f":"CONCATENATE(\"Product of (i) number of autos, from Row \",AA469, \", and (ii) avg number of weekdays per month, from 'Constants' tab.\")","v":"Product of (i) number of autos, from Row 469, and (ii) avg number of weekdays per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,"Non-work trips on typical weekend",null,null,null,null,{"$f":"G202","v":28577.039975629814},{"$f":"H202","v":46068.521497421178},{"$f":"I202","v":23519.747548632633},{"$f":"J202","v":62852.238518499769},{"$f":"K202","v":17583.704612654201},{"$f":"SUM(G473:K473)","v":178601.25215283761},{"$f":"M202","v":23737.44179924221},10621.811215518901,16502.046713438245,8805.6333162248884,1208.1340514590179,1797.5985689197819,2558.5812544298733,{"$f":"SUM(L473:S473)","v":243832.49907207052},{"$f":"U202","v":62991.96386039535},{"$f":"V202","v":6024.5567366520581},{"$f":"W202","v":2917.8038602938877},{"$f":"SUM(T473:W473)","v":315766.82352941181},null,null,{"$f":"ROW()","v":473}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA202, \", which summed weekend 'into' and 'through' non-work trips.\")","v":"Copied from Row 202, which summed weekend 'into' and 'through' non-work trips."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,"Their trips per month",null,null,null,null,{"$f":"G473*wkend_per_mo","v":273863.2997664524},{"$f":"H473*wkend_per_mo","v":441489.99768361967},{"$f":"I473*wkend_per_mo","v":225397.58067439607},{"$f":"J473*wkend_per_mo","v":602333.95246895612},{"$f":"K473*wkend_per_mo","v":168510.50253793609},{"$f":"SUM(G475:K475)","v":1711595.3331313604},{"$f":"M473*wkend_per_mo","v":227483.81724273786},101792.35748205615,158144.61433711654,84387.319280488518,11577.951326482256,17226.986285481245,24519.737021619621,{"$f":"SUM(L475:S475)","v":2336728.1161073423},{"$f":"U473*wkend_per_mo","v":603672.98699545546},{"$f":"V473*wkend_per_mo","v":57735.335392915564},{"$f":"W473*wkend_per_mo","v":27962.286994483093},{"$f":"SUM(T475:W475)","v":3026098.7254901966},null,null,{"$f":"ROW()","v":475}]
[null,{"$f":"CONCATENATE(\"Product of (i) number of autos, from Row \",AA473, \", and (ii) avg number of weekend days per month, from 'Constants' tab.\")","v":"Product of (i) number of autos, from Row 473, and (ii) avg number of weekend days per month, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,"Total non-work trips to or through CBD per month",null,null,null,null,{"$f":"G471+G475","v":649924.30589342676},{"$f":"H471+H475","v":1047731.0415382863},{"$f":"I471+I475","v":550354.39359820145},{"$f":"J471+J475","v":1429441.1712276642},{"$f":"K471+K475","v":399904.15470461827},{"$f":"SUM(G477:K477)","v":4077355.066962197},{"$f":"M471+M475","v":539857.88584872836},241570.62059136492,375304.13454992149,200265.49726213777,27476.452616867318,40882.575773296412,58189.516733551056,{"$f":"SUM(L477:S477)","v":5560901.7503380645},{"$f":"U471+U475","v":1432618.9284735038},{"$f":"V471+V475","v":137015.79515314591},{"$f":"W471+W475","v":66359.27479724471},{"$f":"SUM(T477:W477)","v":7196895.7487619594},null,null,{"$f":"ROW()","v":477}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA465, \" (regular) and \",AA475, \" (other).\")","v":"Sum of Rows 465 (regular) and 475 (other)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,"Sum, work + non-work trips to or through CBD per month",null,null,null,null,{"$f":"G465+G477","v":1351138.6751045866},{"$f":"H465+H477","v":2178145.8525142781},{"$f":"I465+I477","v":1154681.3577886627},{"$f":"J465+J477","v":2971689.5224860189},{"$f":"K465+K477","v":831367.53750677407},{"$f":"SUM(G480:K480)","v":8487022.94540032},{"$f":"M465+M477","v":1111581.2502273489},497400.11120331858,772760.85064985347,412351.80157473136,56574.72151889254,84178.273360128209,119813.7092303776,{"$f":"SUM(L480:S480)","v":11541683.663164971},{"$f":"U465+U477","v":2949799.1626228895},{"$f":"V465+V477","v":282119.04071343853},{"$f":"W465+W477","v":188114.31348461926},{"$f":"SUM(T480:W480)","v":14961716.179985918},null,null,{"$f":"ROW()","v":480}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA465, \" (work) and \",AA477, \" (non-work).\")","v":"Sum of Rows 465 (work) and 477 (non-work)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":481}]
[null,{"$f":"CONCATENATE(\"% diff. from trips/mo. calc'd from annual figure in Row \",AA437, \".\")","v":"% diff. from trips/mo. calc'd from annual figure in Row 437."},null,null,null,null,{"$f":"1-G480/G437","v":1.9363333644445424E-3},{"$f":"1-H480/H437","v":1.9363333644446534E-3},{"$f":"1-I480/I437","v":0},{"$f":"1-J480/J437","v":1.9363333644447644E-3},{"$f":"1-K480/K437","v":1.9363333644446534E-3},null,{"$f":"1-M480/M437","v":6.9165651612816959E-3},6.9165651612818069E-3,6.9165651612815848E-3,6.9165651612818069E-3,6.9165651612816959E-3,6.9165651612816959E-3,6.9165651612818069E-3,null,{"$f":"1-U480/U437","v":6.9165651612816959E-3},{"$f":"1-V480/V437","v":6.9165651612819179E-3},{"$f":"1-W480/W437","v":-0.42658703742065529},null,null,null,{"$f":"ROW()","v":482}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":483}]
[null,"Work trips per month by the regular commuters",null,null,null,null,{"$f":"G453","v":595768.35773394816},{"$f":"H453","v":960427.23176212388},{"$f":"I453","v":514274.72572756326},{"$f":"J453","v":1310330.7744259727},{"$f":"K453","v":366581.52240027307},{"$f":"SUM(G484:K484)","v":3747382.6120498809},{"$f":"M453","v":485476.32585252513},217236.46239646096,337498.58452491247,180092.13230812084,24708.664286577572,36764.347058864303,52327.906153535616,{"$f":"SUM(L484:S484)","v":5081487.034630877},{"$f":"U453","v":1288306.7784564742},{"$f":"V453","v":123213.76895353947},{"$f":"W453","v":112637.53419694951},{"$f":"SUM(T484:W484)","v":6605645.1162378406},null,null,{"$f":"ROW()","v":484}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA453, \".\")","v":"Copied from Row 453."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485}]
[null,"Additional non-work trips per month by each regular commuter",null,null,null,null,3,3,3,3,2,null,1.5,1,1.5,1,1,{"$f":"3/4","v":0.75},{"$f":"1/2","v":0.5},null,1,{"$f":"3/4","v":0.75},{"$f":"1/2","v":0.5},null,null,null,{"$f":"ROW()","v":486}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":487}]
[null,"Non-work trips per month by the regular commuters",null,null,null,null,{"$f":"G451*G486","v":118228.72859715499},{"$f":"H451*H486","v":190594.36280439218},{"$f":"I451*I486","v":101361.09007537825},{"$f":"J451*J486","v":260031.83870213229},{"$f":"K451*K486","v":48498.119286319779},{"$f":"SUM(G488:K488)","v":718714.13946537755},{"$f":"M451*M486","v":50877.370517281859},15177.423901223345,35369.470393388969,12582.301346480037,1726.2934029279033,1926.4310199422384,1827.9684837304324,{"$f":"SUM(L488:S488)","v":838201.3985303524},{"$f":"U451*U486","v":90008.730006698388},{"$f":"V451*V486","v":6456.3318972059224},{"$f":"W451*W486","v":3673.498737247518},{"$f":"SUM(T488:W488)","v":938339.95917150425},null,null,{"$f":"ROW()","v":488}]
[null,{"$f":"CONCATENATE(\"Product of (i) number of autos used by regular commuters, from Row \",AA451, \", and (ii) non-work trips per these autos, from Row \",AA486, \".\")","v":"Product of (i) number of autos used by regular commuters, from Row 451, and (ii) non-work trips per these autos, from Row 486."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":489}]
[null,"Total trips per month by regular auto users",null,null,null,null,{"$f":"G484+G488","v":713997.08633110311},{"$f":"H484+H488","v":1151021.5945665161},{"$f":"I484+I488","v":615635.81580294156},{"$f":"J484+J488","v":1570362.6131281049},{"$f":"K484+K488","v":415079.64168659283},{"$f":"SUM(G490:K490)","v":4466096.751515259},{"$f":"M484+M488","v":536353.696369807},232413.88629768431,372868.05491830141,192674.43365460087,26434.957689505474,38690.778078806543,54155.874637266046,{"$f":"SUM(L490:S490)","v":5919688.4331612298},{"$f":"U484+U488","v":1378315.5084631725},{"$f":"V484+V488","v":129670.1008507454},{"$f":"W484+W488","v":116311.03293419702},{"$f":"SUM(T490:W490)","v":7543985.0754093444},null,null,{"$f":"ROW()","v":490}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA484, \" (work trips) and \",AA488, \" (non-work trips).\")","v":"Sum of Rows 484 (work trips) and 488 (non-work trips)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491}]
[null,"Avg trips/month per HH by these regular car users",null,null,null,null,{"$f":"G490/G451","v":18.11735002489787},18.11735002489787,18.221069308107797,18.11735002489787,17.117350024897867,18.033585338576724,{"$f":"M490/M451","v":15.81313138581779},15.313131385817792,15.813131385817789,15.313131385817789,15.31313138581779,15.063131385817789,14.81313138581779,{"$f":"T490/T451","v":17.366776360301944},{"$f":"U490/U451","v":15.313131385817789},{"$f":"V490/V451","v":15.063131385817789},{"$f":"W490/W451","v":15.831097443271021},{"$f":"X490/X451","v":16.883458647963401},null,null,{"$f":"ROW()","v":492}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",AA490, \" to Row \",AA451, \".\")","v":"Ratio of Row 490 to Row 451."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":493}]
[null,null,null,null,null,null,{"$f":"G467","v":"Bronx"},{"$f":"H467","v":"Brooklyn"},"Manhattan","Queens","S.I.","NYC","Nassau","Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,"NJ","CT","Other","Total",null,null,{"$f":"ROW()","v":494}]
[null,"All other trips per month (taken by non-regular auto users)",null,null,null,null,{"$f":"G480-G490","v":637141.58877348353},{"$f":"H480-H490","v":1027124.257947762},{"$f":"I480-I490","v":539045.54198572109},{"$f":"J480-J490","v":1401326.909357914},{"$f":"K480-K490","v":416287.89582018123},{"$f":"SUM(G495:K495)","v":4020926.1938850614},{"$f":"M480-M490","v":575227.55385754188},264986.2249056343,399892.79573155206,219677.36792013049,30139.763829387066,45487.495281321666,65657.834593111562,{"$f":"SUM(L495:S495)","v":5621995.2300037406},null,null,null,null,null,null,{"$f":"ROW()","v":495}]
[null,{"$f":"CONCATENATE(\"Difference between Row \",AA480, \" total and Row \",AA490, \" trips by regular auto users.\")","v":"Difference between Row 480 total and Row 490 trips by regular auto users."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496}]
[null,"Number of households owning one or more cars",null,null,null,null,197706,392319,170833,500201,140558,{"$f":"SUM(G497:K497)","v":1401617},405702,456274,291706,85519,32732,95977,111561,{"$f":"SUM(L497:S497)","v":2881088},null,null,null,null,null,null,{"$f":"ROW()","v":497}]
[null,"From American Community Survey 2005-2009. Tenure by Vehicles Available. Available at <http://1.usa.gov/lQnXDV>, compiled in a spreadsheet created by J. Szende, 1 June 2011.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":498}]
[null,"Number of those households using car for regular commuting",null,null,null,null,{"$f":"G451","v":39409.576199051662},{"$f":"H451","v":63531.454268130721},{"$f":"I451","v":33787.030025126085},{"$f":"J451","v":86677.279567377424},{"$f":"K451","v":24249.05964315989},{"$f":"SUM(G499:K499)","v":247654.39970284575},{"$f":"M451","v":33918.247011521242},15177.423901223345,23579.646928925977,12582.301346480037,1726.2934029279033,2568.5746932563179,3655.9369674608647,{"$f":"SUM(L499:S499)","v":340862.82395464141},null,null,null,null,null,null,{"$f":"ROW()","v":499}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA451, \".\")","v":"Copied from Row 451."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":500}]
[null,"% of these HH's with E-ZPass",null,null,null,null,0.95,0.95,0.95,0.95,0.95,null,0.9,0.9,0.9,0.9,0.9,0.9,0.9,null,null,null,null,null,null,null,{"$f":"ROW()","v":501}]
[null,"Komanoff assumption. Set to reflect assumed very high penetration of E-ZPass among regular commuters, and to err (if at all) on the high side. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":502}]
[null,"HH's using car for regular CBD commuting and using E-ZPass",null,null,null,null,{"$f":"G501*G499","v":37439.097389099079},{"$f":"H501*H499","v":60354.881554724183},32097.678523869778,82343.415589008553,23036.606661001893,{"$f":"SUM(G503:K503)","v":235271.67971770346},30526.422310369118,13659.681511101011,21221.682236033379,11324.071211832033,1553.6640626351129,2311.717223930686,3290.3432707147781,{"$f":"SUM(L503:S503)","v":319159.26154431963},null,null,null,{"$f":"SUM(G503:K503)+SUM(M503:S503)","v":319159.26154431957},null,null,{"$f":"ROW()","v":503}]
[null,{"$f":"CONCATENATE(\"Product of E-ZPass % in Row \",AA501, \" and number of cars in Row \",AA499, \".\")","v":"Product of E-ZPass % in Row 501 and number of cars in Row 499."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,"Number of car-owning households w/o regular CBD commuting",null,null,null,null,{"$f":"G497-G499","v":158296.42380094834},{"$f":"H497-H499","v":328787.54573186929},{"$f":"I497-I499","v":137045.96997487391},{"$f":"J497-J499","v":413523.72043262259},{"$f":"K497-K499","v":116308.94035684012},{"$f":"SUM(G505:K505)","v":1153962.6002971542},{"$f":"M497-M499","v":371783.75298847875},441096.57609877666,268126.353071074,72936.698653519969,31005.706597072098,93408.42530674368,107905.06303253914,{"$f":"SUM(L505:S505)","v":2540225.1760453582},null,null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,{"$f":"CONCATENATE(\"Difference between Row \",AA497, \" (total) and Row \",AA499, \" (households with regular auto users).\")","v":"Difference between Row 497 (total) and Row 499 (households with regular auto users)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"% of car-owning non-commuting HH's taking zero CBD trips/mo.",null,null,null,null,0.2,0.2,0.2,0.2,0.3,null,0.4,0.6,0.4,0.4,0.5,0.6,0.6,null,null,null,null,null,null,null,{"$f":"ROW()","v":507}]
[null,"Komanoff assumptions. Specified to reflect lower propensity for non-commute car trips to/thru CBD as distance from CBD increases.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":508}]
[null,"Number of car-owning, non-regular, non-zero-trip taking HH's",null,null,null,null,{"$f":"(1-G507)*G505","v":126637.13904075867},{"$f":"(1-H507)*H505","v":263030.03658549546},{"$f":"(1-I507)*I505","v":109636.77597989913},{"$f":"(1-J507)*J505","v":330818.97634609812},{"$f":"(1-K507)*K505","v":81416.258249788079},{"$f":"SUM(G509:K509)","v":911539.18620203948},{"$f":"(1-M507)*M505","v":223070.25179308726},176438.63043951069,160875.81184264438,43762.019192111977,15502.853298536049,37363.370122697474,43162.025213015659,{"$f":"SUM(L509:S509)","v":1611714.148103643},null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,{"$f":"CONCATENATE(\"Product of complement of zero-trip HH % in Row \",AA507, \" and number of cars in Row \",AA505, \".\")","v":"Product of complement of zero-trip HH % in Row 507 and number of cars in Row 505."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,"Avg no. trips per month by these non-regular car-owning HH's",null,null,null,null,{"$f":"G495/G509","v":5.0312380206916787},3.9049694524674745,4.9166489726453646,4.2359326687833825,5.1130806643434124,4.4111391531486364,{"$f":"M495/M509","v":2.5786833933872293},1.501860586004043,2.485723560001019,5.0198179146113748,1.9441430070316925,1.2174355560525028,1.5211944821651282,{"$f":"T495/T509","v":3.4882086483007111},null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",AA495, \" to Row \",AA509, \". Included for possible interest only.\")","v":"Ratio of Row 495 to Row 509. Included for possible interest only."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,"% pts by which irregular HH EZ-P use is less than commuters'",null,null,null,null,0.05,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514}]
[null,"% of these HH's with E-ZPass",null,null,null,null,{"$f":"G501-$G$513","v":0.89999999999999991},{"$f":"H501-$G$513","v":0.89999999999999991},{"$f":"I501-$G$513","v":0.89999999999999991},{"$f":"J501-$G$513","v":0.89999999999999991},{"$f":"K501-$G$513","v":0.89999999999999991},null,{"$f":"M501-$G$513","v":0.85},0.85,0.85,0.85,0.85,0.85,0.85,null,null,null,null,null,null,null,{"$f":"ROW()","v":515}]
[null,{"$f":"CONCATENATE(\"Difference between Row \",AA501, \" and Row \",AA511, \".\")","v":"Difference between Row 501 and Row 511."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516}]
[null,"HH's using car for irregular CBD access and using E-ZPass",null,null,null,null,{"$f":"G515*G509","v":113973.4251366828},{"$f":"H515*H509","v":236727.03292694589},{"$f":"I515*I509","v":98673.098381909207},{"$f":"J515*J509","v":297737.07871148828},{"$f":"K515*K509","v":73274.632424809271},{"$f":"SUM(G517:K517)","v":820385.26758183539},{"$f":"M515*M509","v":189609.71402412417},149972.83587358409,136744.44006624771,37197.716313295183,13177.425303755641,31758.864604292852,36687.721431063306,{"$f":"SUM(L517:S517)","v":1415533.9851981984},null,null,null,{"$f":"SUM(G517:K517)+SUM(M517:S517)","v":1415533.9851981984},null,null,{"$f":"ROW()","v":517}]
[null,{"$f":"CONCATENATE(\"Product of E-ZPass % in Row \",AA515, \" and number of cars in Row \",AA509, \".\")","v":"Product of E-ZPass % in Row 515 and number of cars in Row 509."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,"HH's using car for CBD access and using E-ZPass",null,null,null,null,{"$f":"G503+G517","v":151412.52252578188},{"$f":"H503+H517","v":297081.91448167007},{"$f":"I503+I517","v":130770.77690577898},{"$f":"J503+J517","v":380080.49430049682},{"$f":"K503+K517","v":96311.239085811161},{"$f":"SUM(G519:K519)","v":1055656.9472995389},{"$f":"M503+M517","v":220136.13633449329},163632.51738468511,157966.12230228109,48521.78752512722,14731.089366390754,34070.581828223541,39978.064701778087,{"$f":"SUM(L519:S519)","v":1734693.2467425179},null,null,null,{"$f":"SUM(G519:K519)+SUM(M519:S519)","v":1734693.2467425179},null,null,{"$f":"ROW()","v":519}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",AA503, \" (E-ZPass-using HH's that regularly commute to/thru CBD by car) and \",AA517, \" (E-ZPass-using HH's that don't commute regularly by car to/thru CBD but do drive to/thru CBD at least once per month).\")","v":"Sum of Rows 503 (E-ZPass-using HH's that regularly commute to/thru CBD by car) and 517 (E-ZPass-using HH's that don't commute regularly by car to/thru CBD but do drive to/thru CBD at least once per month)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,"Ratio of those cars to CBD-bound (or X'ing) trips per month",null,null,null,null,{"$f":"G519/G437","v":0.11184591203780242},0.136128012050443,0.11325269609983044,0.12765281463214931,0.11562244625099409,0.12417669782883078,0.19666897976056227,0.32670025348921794,0.20300399430455041,0.1168569731863653,0.25858193260405493,0.40194374484464146,0.3313606937575751,0.14983723593472437,null,null,null,{"$f":"X519/X437","v":0.11592850369600941},null,null,{"$f":"ROW()","v":521}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",AA519, \" to Row \",AA437, \".\")","v":"Ratio of Row 519 to Row 437."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,"Free trips per year (if each E-ZPass holder receives one)",null,null,null,null,{"$f":"12*G519","v":1816950.2703093826},{"$f":"12*H519","v":3564982.9737800406},{"$f":"12*I519","v":1569249.3228693479},{"$f":"12*J519","v":4560965.9316059621},{"$f":"12*K519","v":1155734.8690297338},{"$f":"SUM(G523:K523)","v":12667883.367594466},{"$f":"12*M519","v":2641633.6360139195},1963590.2086162213,1895593.4676273731,582261.45030152658,176773.07239668904,408846.9819386825,479736.77642133704,{"$f":"SUM(L523:S523)","v":20816318.960910216},null,null,null,{"$f":"SUM(G523:K523)+SUM(M523:S523)","v":20816318.960910216},null,null,{"$f":"ROW()","v":523}]
[null,{"$f":"CONCATENATE(\"Row \",AA519, \" times 12.\")","v":"Row 519 times 12."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":524}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":525}]
[null,"2. REVENUE IMPACTS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":527}]
[null,"A. Calculate average toll paid by autos",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,null,null,"Work trips",null,"Non-work trips",null,"Sum / Weighted average",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,null,null,"Toll","No./Day","Toll","No./Day","Toll","No./Yr",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Weekdays",null,{"$f":"'Motor Vs'!W935","v":6.6225938145076579},{"$f":"'Motor Vs'!W933","v":171325.6392049194},{"$f":"'Motor Vs'!AF935","v":6.1602252195943263},{"$f":"'Motor Vs'!AF933","v":141844.74156519983},{"$f":"(D531*E531+F531*G531)/(E531+G531)","v":6.4131724966548429},{"$f":"(E531+G531)*wkday_per_yr","v":78292595.192529812},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":531}]
[null,"Weekends",null,{"$f":"'Motor Vs Weekends'!W935","v":5.5363214457177987},{"$f":"'Motor Vs Weekends'!W933","v":74267.357151931879},{"$f":"'Motor Vs Weekends'!AF935","v":4.9301717449709868},{"$f":"'Motor Vs Weekends'!AF933","v":209162.72600244018},{"$f":"(D532*E532+F532*G532)/(E532+G532)","v":5.089001519890755},{"$f":"(E532+G532)*wkend_per_yr","v":32594459.562752787},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":532}]
[null,"Combined",null,null,null,null,null,{"$f":"(SUMPRODUCT(I531:I532,H531:H532))/SUM(I531:I532)","v":6.0239418740942616},{"$f":"I531+I532","v":110887054.7552826},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534}]
[null,{"$f":"CONCATENATE(\"Tolls and daily trip numbers are from 'Motor Vs' and 'Motor Vs' Weekends' tabs, Rows \",'Motor Vs'!O933, \" and \",'Motor Vs'!O935, \". Through-trips, trucks and buses are excluded because they would overstate toll paid in a single car entry to CBD. Final weighting is done on annual, not daily basis, to accord weekdays proper weight over weekends.\")","v":"Tolls and daily trip numbers are from 'Motor Vs' and 'Motor Vs' Weekends' tabs, Rows 933 and 935. Through-trips, trucks and buses are excluded because they would overstate toll paid in a single car entry to CBD. Final weighting is done on annual, not daily basis, to accord weekdays proper weight over weekends."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":537}]
[null,null,null,null,null,null,null,null,null,"% of pre-exemption cordon toll revenues","% of pre-exemption total (gross) revenues",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":538}]
[null,"B. Calculate revenue loss from exempting one trip per month for each E-ZPass Card Holder",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540}]
[null,null,null,null,null,null,null,null,"Quantities",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,"Trips exempted from toll, per year",null,null,null,null,null,null,{"$f":"X523","v":20816318.960910216},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":542}]
[null,{"$f":"CONCATENATE(\"Copied from Cell X\",AA523, \".\")","v":"Copied from Cell X523."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":543}]
[null,"Revenue loss per trip, minimum",null,null,null,null,null,null,{"$f":"H533","v":6.0239418740942616},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":544}]
[null,{"$f":"CONCATENATE(\"Copied from Cell X\",AA525, \".\")","v":"Copied from Cell X525."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":545}]
[null,"Revenue loss per trip, maximum",null,null,null,null,null,null,{"$f":"MAX('Policy Levers'!K30:K41)*'Policy Levers'!K27","v":12.24},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":546}]
[null,{"$f":"CONCATENATE(\"Maximum undiscounted toll (no PANYNJ or MTA discounts/offsets), from 'Policy Levers' tab, Col. N, Rows \",'Policy Levers'!O30, \"-\",'Policy Levers'!O41, \", multiplied by # toll directions from 'Policy Levers' Cell K\",'Policy Levers'!O27, \".\")","v":"Maximum undiscounted toll (no PANYNJ or MTA discounts/offsets), from 'Policy Levers' tab, Col. N, Rows 30-41, multiplied by # toll directions from 'Policy Levers' Cell K27."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":547}]
[null,"Revenue loss per year, minimum (hundreds of millions of dollars)",null,null,null,null,null,null,{"$f":"$I$542*I544/1000000","v":125.3962954531294},{"$f":"I548/Results!$K$38","v":0.1334003143118398},{"$f":"I548/Results!$K$69","v":6.5652510708444717E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,"Revenue loss per year, maximum (hundreds of millions of dollars)",null,null,null,null,null,null,{"$f":"$I$542*I546/1000000","v":254.79174408154105},{"$f":"I549/Results!$K$38","v":0.27105504689525645},{"$f":"I549/Results!$K$69","v":0.13339881889085919},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":549}]
[null,"Revenue loss per year, avg'd betw max and min (hundreds of millions of dollars)",null,null,null,null,null,null,{"$f":"AVERAGE(I548:I549)","v":190.09401976733523},{"$f":"I550/Results!$K$38","v":0.20222768060354812},{"$f":"I550/Results!$K$69","v":9.9525664799651956E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,{"$f":"CONCATENATE(\"Minimum and maximum losses are respective products of min and max revenue losses in Rows \",AA544, \" and \",AA546, \", and number of exempted trips in Row \",AA542, \".\")","v":"Minimum and maximum losses are respective products of min and max revenue losses in Rows 544 and 546, and number of exempted trips in Row 542."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":553}]
[null,"3. SHARE OF EMPLOYED WORKFORCE WHO CAR-COMMUTE INTO (OR THROUGH) CBD AND THUS WILL PAY CORDON TOLL REGULARLY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":554}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555}]
[null,null,null,null,null,null,{"$f":"G132","v":"Bronx"},{"$f":"H132","v":"Brooklyn"},{"$f":"I132","v":"Manhattan"},{"$f":"J132","v":"Queens"},{"$f":"K132","v":"S.I."},{"$f":"L494","v":"NYC"},{"$f":"M132","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","Outer 7","12-Cty MTA",null,null,null,null,null,{"$f":"ROW()","v":556}]
[null,"Weekday Work Trips into or thru CBD",null,null,null,null,{"$f":"G130","v":28701.344731784964},{"$f":"H130","v":46268.910912701715},{"$f":"I130","v":24824.520689522775},{"$f":"J130","v":63125.63395026981},{"$f":"K130","v":17660.190424902215},null,{"$f":"M130","v":23840.695212371007},10668.01409916945,16573.827516996771,8843.9361671534116,1213.3892076542504,1805.4177850445089,2569.7106022981716,null,{"$f":"SUM(G557:S557)","v":246095.59129986903},null,null,null,null,null,{"$f":"ROW()","v":557}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",AA130, \". People in carpools are treated as one commuter.\")","v":"Copied from Row 130. People in carpools are treated as one commuter."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":558}]
[null,"Number of employed people residing in MTA counties",null,null,null,null,473097,1016986,859271,1042981,227752,null,639596,742373,442828,140012,16701,134704,167662,null,{"$f":"SUM(G559:S559)","v":5903963},null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Data are averaged over period May 2010 - June 2011.",null,null,null,null,"Source: Labor force data by county, not seasonally adjusted, May 2010-June 2011. US Dept. of Labor, Bureau of Labor Statistics. Available at <http://1.usa.gov/qBzQai>. Compiled by J. Szende, 23 Aug 2011.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560}]
[null,"Percent of employed people who car-commute into or thru CBD.",null,null,null,null,{"$f":"G557/G559","v":6.0666934543624172E-2},{"$f":"H557/H559","v":4.5496113921628924E-2},{"$f":"I557/I559","v":2.8890211225006748E-2},{"$f":"J557/J559","v":6.0524241525272089E-2},{"$f":"K557/K559","v":7.7541318736617973E-2},null,{"$f":"M557/M559","v":3.7274615870598014E-2},1.4370153681733373E-2,3.7427234766086996E-2,6.3165558431801647E-2,7.2653685866370304E-2,1.3402852068568928E-2,1.5326732368086815E-2,null,{"$f":"U557/U559","v":4.1683118830498946E-2},null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,{"$f":"CONCATENATE(\"Row \",AA557, \" divided by Row \",AA559, \". People in carpools are treated as one commuter.\")","v":"Row 557 divided by Row 559. People in carpools are treated as one commuter."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":562}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,"Land Area in Square Miles",null,null,null,null,42.1,70.819999999999993,22.83,108.53,58.37,{"$f":"SUM(G564:K564)","v":302.64999999999998},284.72000000000003,912.05,430.5,173.55,230.31,795.63,811.69,{"$f":"SUM(M564:S564)","v":3638.45},{"$f":"L564+T564","v":3941.1},null,null,null,null,null,{"$f":"ROW()","v":564}]
[null,"Source: https://www.census.gov/quickfacts/ny. Accessed 26-Sept-2018.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,"BOROUGH BY BOROUGH IMPACTS OF RAISING REVENUE BY INCREASING MOTOR VEHICLE REGISTRATION FEES",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":567}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":568}]
[null,null,null,null,null,null,{"$f":"G556","v":"Bronx"},{"$f":"H556","v":"Brooklyn"},{"$f":"I556","v":"Manhattan"},{"$f":"J556","v":"Queens"},{"$f":"K556","v":"S.I."},{"$f":"L507","v":0},{"$f":"M556","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange","Outer 7",{"$f":"U556","v":"12-Cty MTA"},"NYC","NYC w/o Mht","MTA wo NYC",null,null,{"$f":"ROW()","v":569}]
[null,"2015 registered veh's (all types: passngr, commercial, trailer, m/c, moped, bus, taxi, ambulance, rental, farm)",null,null,null,null,272483,498282,254159,808122,274275,null,1009891,1265038,671942,218941,91641,242965,291506,null,{"$f":"SUM(G570:S570)","v":5899245},{"$f":"SUM(G570:K570)","v":2107321},{"$f":"V570-I570","v":1853162},{"$f":"U570-V570","v":3791924},null,null,{"$f":"ROW()","v":570}]
[null,"NYMTC \"Regional Transportation Statistical Report, 2015,\" Table B-4, 2015 Annual Motor Vehicle Registrations in New York Counties, p. 57 of 92)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":571}]
[null,"# Passenger Vehicles ",null,null,null,null,241115,442691,226785,711553,257320,null,936087,1115124,617180,199390,80536,212262,250922,null,{"$f":"SUM(G572:S572)","v":5290965},{"$f":"SUM(G572:K572)","v":1879464},{"$f":"V572-I572","v":1652679},{"$f":"U572-V572","v":3411501},null,null,{"$f":"ROW()","v":572}]
[null,{"$f":"CONCATENATE(\"Same source as Row \",AA571, \".\")","v":"Same source as Row 571."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,"Ratio, All registered vehicles to passenger vehicles",null,null,null,null,{"$f":"G570/G572","v":1.1300955975364453},{"$f":"H570/H572","v":1.1255751754609875},1.1207046321405736,1.1357158215902399,1.0658907197264107,{"$error":"#DIV/0!"},1.0788430989854576,1.1344370670885031,1.0887293820279336,1.0980540648979387,1.1378886460713222,1.1446467101977744,1.1617395047066419,{"$error":"#DIV/0!"},1.1149657954645324,1.1212350968148366,1.1213078885857448,1.1115119122052142,null,null,{"$f":"ROW()","v":574}]
[null,{"$f":"CONCATENATE(\"Row \",AA570, \" divided by Row \",AA572,\".\")","v":"Row 570 divided by Row 572."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,"Total Number of households",null,null,null,null,475978,919333,746686,780349,163468,null,441732,496353,340097,97934,34050,107106,125228,null,{"$f":"SUM(G576:S576)","v":4728314},{"$f":"SUM(G576:K576)","v":3085814},{"$f":"V576-I576","v":2339128},{"$f":"U576-V576","v":1642500},null,null,{"$f":"ROW()","v":576}]
[null,"Data obtained from U.S. Census Bureau \"American Fact Finder, Selected Housing Characteristics, 2012 American Community Survey\"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577}]
[null,"HH's w/ 0 vehicles, 2012",{"$f":"CONCATENATE(\"This array was eliminated on 22-Oct-2018, replaced by data in Rows \",AA570, \" and \",AA572, \".\")","v":"This array was eliminated on 22-Oct-2018, replaced by data in Rows 570 and 572."},null,null,null,295227,523480,590057,303898,30181,null,33874,24778,52810,10248,2312,8988,12778,null,1888631,{"$f":"SUM(G578:K578)","v":1742843},1152786,145788,null,null,{"$f":"ROW()","v":578}]
[null,"HH's w/ 1 vehicles, 2012",null,null,"We'll assume:",1,136798,310300,139291,308468,61938,null,126653,138519,121402,28934,7727,34389,37844,null,1452263,{"$f":"SUM(G579:K579)","v":956795},817504,495468,null,null,{"$f":"ROW()","v":579}]
[null,"HH's w/ 2 vehicles, 2012",null,null,"We'll assume:",2,36089,71266,14481,129157,52514,null,181238,199561,117284,38981,14247,42622,49046,null,946486,{"$f":"SUM(G580:K580)","v":303507},289026,642979,null,null,{"$f":"ROW()","v":580}]
[null,"HH's w/ 3+ vehicles, 2012",null,null,"We'll assume:",3.5,7864,14287,2857,38826,18835,null,99967,133495,48601,19771,9764,21107,25560,null,440934,{"$f":"SUM(G581:K581)","v":82669},79812,358265,null,null,{"$f":"ROW()","v":581}]
[null,"Sum of 4 classes of HH's",null,null,null,null,{"$f":"SUM(G578:G581)","v":475978},{"$f":"SUM(H578:H581)","v":919333},{"$f":"SUM(I578:I581)","v":746686},{"$f":"SUM(J578:J581)","v":780349},{"$f":"SUM(K578:K581)","v":163468},null,{"$f":"SUM(M578:M581)","v":441732},496353,340097,97934,34050,107106,125228,null,4728314,{"$f":"SUM(V578:V581)","v":3085814},2339128,1642500,null,null,{"$f":"ROW()","v":582}]
[null,"Data obtained from U.S. Census Bureau \"American Fact Finder, Selected Housing Characteristics, 2012 American Community Survey\"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":583}]
[null,"# Vehicles",null,null,null,null,{"$f":"SUMPRODUCT(G579:G581,$F$579:$F$581)","v":236500},{"$f":"SUMPRODUCT(H579:H581,$F$579:$F$581)","v":502836.5},{"$f":"SUMPRODUCT(I579:I581,$F$579:$F$581)","v":178252.5},{"$f":"SUMPRODUCT(J579:J581,$F$579:$F$581)","v":702673},{"$f":"SUMPRODUCT(K579:K581,$F$579:$F$581)","v":232888.5},null,{"$f":"SUMPRODUCT(M579:M581,$F$579:$F$581)","v":839013.5},1004873.5,526073.5,176094.5,70395,193507.5,225396,null,{"$f":"SUMPRODUCT(U579:U581,$F$579:$F$581)","v":4888504},{"$f":"SUM(G584:K584)","v":1853150.5},{"$f":"V584-I584","v":1674898},{"$f":"U584-V584","v":3035353.5},null,null,{"$f":"ROW()","v":584}]
[null,{"$f":"CONCATENATE(\"Calculated as cross-products of vector of vehs/HH in Cells F\",AA579, \"-F\",AA581, \" and respective #'s of HH's in each category for each borough/county.\")","v":"Calculated as cross-products of vector of vehs/HH in Cells F579-F581 and respective #'s of HH's in each category for each borough/county."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":585}]
[null,"Passenger Vehicles/HH",null,null,null,null,{"$f":"G572/G576","v":0.50656753043207881},{"$f":"H572/H576","v":0.48153498242747733},{"$f":"I572/I576","v":0.30372204648272499},{"$f":"J572/J576","v":0.91183944619650947},{"$f":"K572/K576","v":1.5741307167151981},null,{"$f":"M572/M576","v":2.1191287930238243},2.2466349553644283,1.8147175658709134,2.0359629954867562,2.3652276064610867,1.9817937370455436,2.0037212125083848,null,{"$f":"U572/U576","v":1.1189961157401982},{"$f":"V572/V576","v":0.60906587370463672},{"$f":"W572/W576","v":0.70653636739844938},{"$f":"X572/X576","v":2.0770173515981734},null,null,{"$f":"ROW()","v":586}]
[null,{"$f":"CONCATENATE(\"Row \",AA572, \" divided by Row \",AA576, \".\")","v":"Row 572 divided by Row 576."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587}]
[null,"Percentage of NYC reg'd vehicles in each borough",null,null,null,null,{"$f":"G584/$V$584","v":0.12762050356946184},{"$f":"H584/$V$584","v":0.27134142639790992},{"$f":"I584/$V$584","v":9.6188895613173356E-2},{"$f":"J584/$V$584","v":0.37917751418462775},{"$f":"K584/$V$584","v":0.12567166023482712},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":588}]
[null,{"$f":"CONCATENATE(\"Calculated from Row \",AA584, \" using NYC total in Cell V\",AA584, \".\")","v":"Calculated from Row 584 using NYC total in Cell V584."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":589}]
[null,"Per-V Registration Increment to Match Following Amount",null,null,{"$f":"Results!E14/1000000","v":1910},{"$f":"CONCATENATE(\"million projected each year from the \",Select_Plan_Box, \".\")","v":"million projected each year from the Fix NYC higher-range plan."},null,null,null,null,null,null,{"$f":"E590*1000000/V584","v":1030.6772169880428},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590}]
[null,{"$f":"CONCATENATE(\"Cell E\",AA590, \" copied from 'Results' tab, Cell C\",Results!N14, \". Cell M\",AA590, \" is ratio of E\",AA590, \" to number of NYC registered vehicles in Cell V\",AA584, \".\")","v":"Cell E590 copied from 'Results' tab, Cell C14. Cell M590 is ratio of E590 to number of NYC registered vehicles in Cell V584."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":591}]
[null,"Borough Amount, $millions per year",null,null,null,null,{"$f":"G584*$M$590/1000000","v":243.75516181767213},{"$f":"H584*$M$590/1000000","v":518.26212442000804},{"$f":"I584*$M$590/1000000","v":183.72079062116111},{"$f":"J584*$M$590/1000000","v":724.22905209263899},{"$f":"K584*$M$590/1000000","v":240.03287104851981},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592}]
[null,"Per HH Amount, $ per year",null,null,null,null,{"$f":"$M$590*G586","v":522.10761248224071},{"$f":"$M$590*H586","v":496.30713557073841},{"$f":"$M$590*I586","v":313.03939360672797},{"$f":"$M$590*J586","v":939.81214274573654},{"$f":"$M$590*K586","v":1622.4206662794136},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,{"$f":"CONCATENATE(\"Row \",AA592, \" is product of Rows \",AA584, \" and \",AA590,\". Row \",AA593, \" is product of per-vehicle registration fee in Cell M\",AA590, \" and borough vehicles/HH in Row \",AA586, \".\")","v":"Row 592 is product of Rows 584 and 590. Row 593 is product of per-vehicle registration fee in Cell M590 and borough vehicles/HH in Row 586."},null,null,null,null,null,null,null,null,null,null,"NYC Total",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":594}]
[null,"Population (not used here; included for general interest)",null,null,null,null,1438159,2621793,1636268,2321580,473279,null,{"$f":"SUM(G595:K595)","v":8491079},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":595}]
[null,"Source: NYC Dept of City Planning, http://www.nyc.gov/html/dcp/html/census/popcur.shtml",null,null,null,null,{"$f":"G595/$M$595","v":0.16937293835094455},{"$f":"H595/$M$595","v":0.30877029880419204},{"$f":"I595/$M$595","v":0.19270436654752593},{"$f":"J595/$M$595","v":0.27341401487372807},{"$f":"K595/$M$595","v":5.5738381423609415E-2},null,{"$f":"M595/$M$595","v":1},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":596}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":598}]
[]
[null,null,"Auto trips to or thru Manhattan CBD, weekdays, for any purpose (figures exclude trucks, buses and for-hire vehicles)"]
[null,null,null,null,null,null,null,null,"(N of 60th)"]
[null,null,null,null,null,null,{"$f":"G569","v":"Bronx"},{"$f":"H569","v":"Brooklyn"},{"$f":"I569","v":"Manhattan"},{"$f":"J569","v":"Queens"},{"$f":"K569","v":"S.I."},null,"T O T A L"]
[null,null,null,null,null,"# auto trips into or thru CBD, for work",{"$f":"G130","v":28701.344731784964},{"$f":"H130","v":46268.910912701715},{"$f":"I130","v":24824.520689522775},{"$f":"J130","v":63125.63395026981},{"$f":"K130","v":17660.190424902215},null,{"$f":"SUM(G603:K603)","v":180580.60070918148}]
[null,null,null,null,null,"# auto trips into or thru CBD, not for work",{"$f":"G147","v":18050.928294094771},{"$f":"H147","v":29099.570105023995},{"$f":"I147","v":15597.92702034266},{"$f":"J147","v":39701.146500417984},{"$f":"K147","v":11106.895304000747},null,{"$f":"SUM(G604:K604)","v":113556.46722388016}]
[null,null,null,null,null,"# auto trips into or thru CBD",{"$f":"G603+G604","v":46752.273025879738},{"$f":"H603+H604","v":75368.481017725717},{"$f":"I603+I604","v":40422.447709865432},{"$f":"J603+J604","v":102826.7804506878},{"$f":"K603+K604","v":28767.085728902963},null,{"$f":"M603+M604","v":294137.06793306163}]
[null,null,"Data compiled by C Komanoff in Balanced Transportation Analyzer, 31-Jan-2019 edition, in Incidence tab. "]
[]
[]
[null,"R E M A I N D E R    O F   W O R K S H E E T    I S   V E S T I G I A L    M A T E R I A L    W H I C H    W I L L    B E    A R C H I V E D    O R    D E L E T E D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":609}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,"F. Income Data (for use in analyzing demographics and incidence of possible transit subsidies as means to achieve geographic equity) for the MTA Region",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total, MTA counties",null,null,{"$f":"ROW()","v":612}]
[null,null,null,null,null,null,{"$f":"G243","v":"Bronx"},{"$f":"H243","v":"Brooklyn"},"Manhatt N96",{"$f":"J243","v":"Queens"},{"$f":"K243","v":"S.I."},null,{"$f":"M243","v":"Nassau"},"Suffolk","Westchester","Rockland","Putnam","Dutchess","Orange",null,null,"Manhatt S96",null,null,null,null,{"$f":"ROW()","v":613}]
[null,"Number of Households",null,null,null,null,472913,885197,211269,779776,166783,{"$f":"SUM(F614:K614)","v":2515938},435764,478858,338527,94154,33864,102856,123349,{"$f":"SUM(F614:S614)-L614","v":4123310},null,528201,null,{"$f":"SUM(G614:K614,M614:S614,V614)","v":4651511},null,null,{"$f":"ROW()","v":614}]
[null,"Data entered from each county's Fact Sheet. 2005-09 American Community Survey 5-year Estimates. U.S. Census Bureau. Available at: http://bit.ly/9Da7rK.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":615}]
[null,"Manhattan data from Demographic Profile and Economic Profile from the New York City Department of City Planning's Community District Profiles. Based on primary data from the American Community Survey 2006 - 2008 3-year Estimates. Available at: http://bit.ly/eziVub and http://bit.ly/fQ7wd1",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616}]
[null,"Persons per Household",null,null,null,null,{"$f":"G$80/G$614","v":3.1108470268315735},{"$f":"H$80/H$614","v":2.9922955003236567},null,{"$f":"J$80/J$614","v":3.0246917063361787},2.874741430481524,3.4272299237898549,3.142788298253183,3.117736364433715,2.8956154162001848,3.4928733776578795,2.9329966926529649,2.8736097067745199,3.0987361064945804,3.2913833788873501,null,null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,{"$f":"CONCATENATE(\"Population in Row \", AA80, \" divided by number of households in Row \", AA614, \".\")","v":"Population in Row 80 divided by number of households in Row 614."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":618}]
[null,"Income (% of Households)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":619}]
[null,"$75,000/year and less",null,null,null,null,0.80800000000000005,0.72499999999999998,0.79100000000000004,0.65000000000000013,0.52600000000000002,{"$f":"SUMPRODUCT(F620:K620,F614:K614)/SUM(F614:K614)","v":0.70970650548622427},0.40400000000000003,0.438,0.47499999999999998,0.45900000000000007,0.40200000000000002,0.54800000000000004,0.53800000000000003,{"$f":"SUMPRODUCT(L620:S620,L614:S614)/SUM(L614:S614)","v":0.60915216537199501},null,0.442,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"$100,000/year and less",null,null,null,null,0.89500000000000002,0.82699999999999996,0.875,0.78400000000000014,0.67700000000000005,{"$f":"SUMPRODUCT(F621:K621,F614:K614)/SUM(F614:K614)","v":0.8205416445079331},0.53900000000000003,0.59299999999999997,0.59399999999999997,0.59400000000000008,0.57000000000000006,0.69900000000000007,0.68600000000000005,{"$f":"SUMPRODUCT(L621:S621,L614:S614)/SUM(L614:S614)","v":0.73147550050808685},null,0.54800000000000004,null,null,null,null,{"$f":"ROW()","v":621}]
[null,"$150,000/year and less",null,null,null,null,0.96799999999999997,0.92799999999999994,0.93899999999999995,0.92000000000000015,0.85699999999999998,{"$f":"SUMPRODUCT(F614:K614,F622:K622)/SUM(F614:K614)","v":0.92925626227673352},0.753,0.81299999999999994,0.755,0.78700000000000014,0.79800000000000004,0.88000000000000012,0.88300000000000001,{"$f":"SUMPRODUCT(L622:S622,L614:S614)/SUM(L614:S614)","v":0.87588223781379526},null,0.7,null,null,null,null,{"$f":"ROW()","v":622}]
[null,"Data entered one county at a time from 2005-09 American Community Survey 5-year Estimates. U.S. Census Bureau. Available at: http://bit.ly/feOKgK.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":623}]
[null,"Manhattan data from Demographic Profile and Economic Profile from the New York City Department of City Planning's Community District Profiles. Based on primary data from the American Community Survey 2006 - 2008 3-year Estimates. Available at: http://bit.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":624}]
[null,"Number of Households with incomes under $100,000/year",null,null,null,null,{"$f":"G621*G614","v":423257.13500000001},{"$f":"H621*H614","v":732057.91899999999},{"$f":"I621*I614","v":184860.375},{"$f":"J621*J614","v":611344.38400000008},{"$f":"K621*K614","v":112912.09100000001},null,{"$f":"M621*M614","v":234876.796},283962.79399999999,201085.038,55927.47600000001,19302.480000000003,71896.344000000012,84617.414000000004,null,null,{"$f":"V621*V614","v":289454.14800000004},null,{"$f":"SUM(G625:K625,M625:S625,V625)","v":3305554.3939999999},null,null,{"$f":"ROW()","v":625}]
[null,{"$f":"CONCATENATE(\"Number of households in Row \", AA614, \" multiplied by percentages in Row \", AA621, \" -- notwithstanding slight inconsistency bewteen 'under $100,000' and '$100,000/year and less.'\")","v":"Number of households in Row 614 multiplied by percentages in Row 621 -- notwithstanding slight inconsistency bewteen 'under $100,000' and '$100,000/year and less.'"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626}]
[null,"Possible per-HH transit voucher for eligible HH's -- Komanoff assumption",null,null,null,null,300,300,300,300,300,null,200,100,200,100,100,100,100,null,null,0,null,null,null,null,{"$f":"ROW()","v":627}]
[null,"Annual transit voucher amounts, $millions",null,null,null,null,{"$f":"G625*G627/1000000","v":126.9771405},{"$f":"H625*H627/1000000","v":219.6173757},{"$f":"I625*I627/1000000","v":55.458112499999999},{"$f":"J625*J627/1000000","v":183.40331520000001},{"$f":"K625*K627/1000000","v":33.873627300000003},null,{"$f":"M625*M627/1000000","v":46.9753592},28.396279399999997,40.217007600000002,5.5927476000000009,1.9302480000000002,7.189634400000001,8.4617414000000011,null,null,{"$f":"V625*V627/1000000","v":0},null,{"$f":"SUM(G628:W628)","v":758.09258880000004},null,null,{"$f":"ROW()","v":628}]
[null,{"$f":"CONCATENATE(\"Number of eligible households in Row \", AA625, \" multiplied by per-HH vouchers in Row \", AA627, \".\")","v":"Number of eligible households in Row 625 multiplied by per-HH vouchers in Row 627."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":629}]
[null,"County Contributions, w/o counting vouchers",null,null,null,null,{"$f":"G363*IF(G613=\"Manhatt N96\",0.15,(IF(G613=\"Manhatt S96\",0.85,1)))","v":106.65304375560677},{"$f":"$I363*IF(H613=\"Manhatt N96\",0.15,(IF(H613=\"Manhatt S96\",0.85,1)))","v":539.12707498796738},{"$f":"$I363*IF(I613=\"Manhatt N96\",0.15,(IF(I613=\"Manhatt S96\",0.85,1)))","v":80.869061248195109},{"$f":"J363*IF(J613=\"Manhatt N96\",0.15,(IF(J613=\"Manhatt S96\",0.85,1)))","v":221.17114541528611},{"$f":"K363*IF(K613=\"Manhatt N96\",0.15,(IF(K613=\"Manhatt S96\",0.85,1)))","v":53.329412894998086},null,{"$f":"M363*IF(M613=\"Manhatt N96\",0.15,(IF(M613=\"Manhatt S96\",0.85,1)))","v":86.483787177987296},46.865018974245089,77.185882961148195,31.547081211635255,6.5006841773154074,10.322463559623847,13.315831403487659,null,null,{"$f":"$I363*IF(V613=\"Manhatt N96\",0.15,(IF(V613=\"Manhatt S96\",0.85,1)))","v":458.25801373977225},null,{"$f":"SUM(G630:W630)","v":1731.6285015072681},null,null,{"$f":"ROW()","v":630}]
[null,"TK.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":631}]
[null,"County Contribs., w/ voucher income netted from tolls ($ millions)",null,null,null,null,{"$f":"G630-G628","v":-20.324096744393231},{"$f":"H630-H628","v":319.50969928796735},{"$f":"I630-I628","v":25.410948748195111},{"$f":"J630-J628","v":37.767830215286097},{"$f":"K630-K628","v":19.455785594998083},null,{"$f":"M630-M628","v":39.508427977987296},18.468739574245092,36.968875361148193,25.954333611635256,4.5704361773154076,3.1328291596238458,4.8540900034876575,null,null,{"$f":"V630-V628","v":458.25801373977225},null,{"$f":"SUM(G632:W632)","v":973.53591270726838},null,null,{"$f":"ROW()","v":632}]
[null,{"$f":"CONCATENATE(\"Row \",AA630,\" less Row \",AA628,\".\")","v":"Row 630 less Row 628."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"County Contributions (net of voucher income) per household",null,null,null,null,{"$f":"G632*1000000/G614","v":-42.976396809546848},{"$f":"H632*1000000/H614","v":360.9475622804498},{"$f":"I632*1000000/I614","v":120.27769690865726},{"$f":"J632*1000000/J614","v":48.434204457800831},{"$f":"K632*1000000/K614","v":116.65328957386595},null,{"$f":"M632*1000000/M614","v":90.66473590748042},38.56830119627341,109.20510139855371,275.6583215969078,134.96445125547507,30.458399700784067,39.352487685248015,null,null,{"$f":"V632*1000000/V614","v":867.582631876449},null,{"$f":"X632*1000000/X614","v":209.2945523953976},null,null,{"$f":"ROW()","v":634}]
[null,{"$f":"CONCATENATE(\"Row \",AA632,\" divided by Row \",AA614,\" (adjusted for units, i.e., multiplied by one million).\")","v":"Row 632 divided by Row 614 (adjusted for units, i.e., multiplied by one million)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":635}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":636}]

{"sheet":"Taxes Instead","index":8,"n_rows":333,"n_cols":20,"rows_kept":333,"cut":false,"hidden":false,"merged":[[116,1,118,8],[318,1,319,8],[327,1,328,8],[85,10,87,10],[192,1,193,9],[195,1,198,9],[201,1,202,9],[218,4,220,4],[206,1,207,9],[142,1,143,8],[268,6,270,9],[233,6,235,6],[233,7,235,7],[233,8,235,8],[233,9,235,9],[208,1,211,9],[219,18,220,18],[219,19,220,19],[219,16,220,16],[219,13,220,13],[219,17,220,17],[219,14,220,14],[219,15,220,15],[33,1,36,9],[51,6,53,6],[51,7,53,7],[51,8,53,8],[51,9,53,9],[46,1,47,9],[274,13,278,18],[280,13,281,18],[2,1,16,9],[219,8,220,8],[219,9,220,9],[219,10,220,10],[94,1,95,8],[88,1,90,8],[219,5,220,5],[219,6,220,6],[219,3,220,3],[219,7,220,7],[66,1,69,9],[39,1,43,9],[21,1,24,9],[27,1,30,9]]}
[null,{"$f":"CONCATENATE(\"Taxes Instead, i.e., Tax Alternatives to the \",Select_Plan_Box,\" \")","v":"Taxes Instead, i.e., Tax Alternatives to the Fix NYC higher-range plan "},null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"A big reason to begin pricing vehicle trips to and/or in the Manhattan CBD is to create a new revenue stream that will generate funds for maintaining and improving the NYC region's transportation infrastructure. Absent a new traffic-pricing plan, those new funds presumably would have to be raised through tax instruments.\n\nThe MTA relies on a patchwork of taxes and fees levied on certain business activities in its 12-county region to supplement farebox revenues. These include a salex tax surcharge, a Petroleum Business Tax levied primarily on motor fuels, and the Payroll Mobility Tax, which has become a lightning rod for opponents of MTA funding in some NY suburban districts. These various taxes and fees are considered the most likely candidates to be increased, in the absence of the new revenue stream from traffic-pricing.\n\nThis worksheet estimates the increases in sales or motor fuel tax rates or the Payroll Mobility Tax rate that would be needed to collect the same net revenue as traffic-pricing. The calculations assume that the increases would be imposed throughout the 12-county MTA region in New York State. We also calculate the average rise in automobile registration fees that would be required to match traffic-pricing's net revenue with a recurring annual surcharge on motor vehicle registration fees, charged only to vehicles registered within the City of New York.\n\nThis tab concludes with a calculation of the rise in the NYC transit (bus and subway) fare that would be necessary to support debt service on bonds to finance capital investments to upgrade the subways that are included in the MTA capital plan but are currently (May 2015) unfunded.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,"Table-graph below is \"hard-wired,\" i.e., it's fixed and doesn't vary with changes in congestion pricing plan being modeled. It's a useful guide, though. -- CK, Nov. 28, 2018"]
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[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
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[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Summary of Results",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Sales Tax (across the 12-county MTA tax district)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,{"$f":"CONCATENATE(\"1. To raise the $\",Results!K$69/1000,\" billion a year in net revenue anticipated to be generated by the \",Select_Plan_Box,\" by instead raising the sales tax rate in the 12-county MTA region would require raising that rate by \",ROUND(100*J87,2),\" percentage points. This would have the effect of raising the sales tax rate in New York City to \",ROUND(100*J92,3), \"% from its current level of \",ROUND(100*J89,3), \"%. Rates in the seven 'MTA' counties outside NYC would rise by the same amount (\",ROUND(100*J87,2), \" percentage points). See Part B of this worksheet, beginning in Row \",L52, \".\")","v":"1. To raise the $1.91 billion a year in net revenue anticipated to be generated by the Fix NYC higher-range plan by instead raising the sales tax rate in the 12-county MTA region would require raising that rate by 0.78 percentage points. This would have the effect of raising the sales tax rate in New York City to 9.653% from its current level of 8.875%. Rates in the seven 'MTA' counties outside NYC would rise by the same amount (0.78 percentage points). See Part B of this worksheet, beginning in Row 52."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Gasoline Tax (across the 12-county MTA tax district)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,{"$f":"CONCATENATE(\"2. To raise the $\",Results!K$69/1000,\" billion a year in net revenue anticipated to be generated by the \",Select_Plan_Box,\" by instead raising the motor fuels tax rate in the 12-county MTA region would require raising that rate by \",ROUND(100*J133,0),\" cents per gallon. This would have the effect of raising the current MTA-related state and local motor fuels tax rate in New York City and the 7 surrounding counties to \",ROUND(100*J135,0), \" cents a gallon from its current level of \",ROUND(100*J114,0), \" cents. See Part C of this worksheet, beginning in Row \",L100, \".\")","v":"2. To raise the $1.91 billion a year in net revenue anticipated to be generated by the Fix NYC higher-range plan by instead raising the motor fuels tax rate in the 12-county MTA region would require raising that rate by 64 cents per gallon. This would have the effect of raising the current MTA-related state and local motor fuels tax rate in New York City and the 7 surrounding counties to 103 cents a gallon from its current level of 38 cents. See Part C of this worksheet, beginning in Row 100."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Payroll Mobility Tax (across the 12-county MTA tax district)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,{"$f":"CONCATENATE(\"3. To raise the $\",Results!K$69/1000,\" billion a year in net revenue anticipated to be generated by the \",Select_Plan_Box,\" by instead raising the Payroll Mobility Tax rate in the 12-county MTA region would require raising that rate by \",ROUND(100*J151,2),\" percentage points. This would require raising the Payroll Mobility Tax rate in all 12 counties (the 5 boroughs of New York City and the 7 suburban counties) to \",ROUND(100*J153,2), \"% from the current \",ROUND(100*J147,3), \"%. See Part D of this worksheet, beginning in Row \",L140, \".\")","v":"3. To raise the $1.91 billion a year in net revenue anticipated to be generated by the Fix NYC higher-range plan by instead raising the Payroll Mobility Tax rate in the 12-county MTA region would require raising that rate by 0.34 percentage points. This would require raising the Payroll Mobility Tax rate in all 12 counties (the 5 boroughs of New York City and the 7 suburban counties) to 0.68% from the current 0.34%. See Part D of this worksheet, beginning in Row 140."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Vehicle Registration Surcharge (NYC only)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"4. To raise the $\",Results!K$69/1000,\" billion a year in net revenue anticipated to be generated by the \",Select_Plan_Box,\" by instead raising automobile registration fees on vehicles registered within New York City limits, current fees would need to rise by $\",ROUND(J162,0),\" per vehicle. This burden would fall most heavily on Staten Island and Queens, which have the most vehicles per capita, while Manhattan, with just \",ROUND(F171,2), \" vehicles per household, would pay relatively little. In fact, under this scheme the average Manhattan household would pay only 1/\",ROUND(J171/F171,0), \" as much as the average household in the four other boroughs, notwithstanding the far greater average income and wealth of Manhattan residents.\")","v":"4. To raise the $1.91 billion a year in net revenue anticipated to be generated by the Fix NYC higher-range plan by instead raising automobile registration fees on vehicles registered within New York City limits, current fees would need to rise by $1016 per vehicle. This burden would fall most heavily on Staten Island and Queens, which have the most vehicles per capita, while Manhattan, with just 0.3 vehicles per household, would pay relatively little. In fact, under this scheme the average Manhattan household would pay only 1/2 as much as the average household in the four other boroughs, notwithstanding the far greater average income and wealth of Manhattan residents."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Transit Fare Hike (subway and bus fares only, but only to fund subway investments earmarked in the Move NY - Gridlock Sam plan)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,{"$f":"CONCATENATE(\"5. To raise the $\",ROUND(J273/1000000,-1),\" million a year in prospective debt service for NYC Transit's unfunded share of the MTA 2015-2019 capital plan raising all NYC Transit bus and subway fares, the average fare paid by riders would need to rise by \",ROUND(100*J311,1), \"%.\")","v":"5. To raise the $310 million a year in prospective debt service for NYC Transit's unfunded share of the MTA 2015-2019 capital plan raising all NYC Transit bus and subway fares, the average fare paid by riders would need to rise by 8.3%."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"See further below (past Row \",L190, \") for estimates for additional revenue alternatives.\")","v":"See further below (past Row 190) for estimates for additional revenue alternatives."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"A. Raising the Sales Tax in the 12-County MTA Region",null,null,null,null,"2017 Sales Tax Collections (local portion)","Combined State/Local Sales Tax Rate","Local Sales Tax Rate","Sales Tax Base (rounded to nearest million)",null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"New York City",null,null,null,null,7419054303.5200005,8.8749999999999996E-2,{"$f":"H55-4%","v":4.8749999999999995E-2},{"$f":"ROUND(G55/I55,-6)","v":152186000000},null,{"$f":"ROW()","v":55}]
[null,"Dutchess",null,null,null,null,183017825.62,8.1250000000000003E-2,{"$f":"H56-4%","v":4.1250000000000002E-2},4437000000,null,{"$f":"ROW()","v":56}]
[null,"Nassau",null,null,null,null,1159400448.99,8.6249999999999993E-2,4.6249999999999993E-2,25068000000,null,{"$f":"ROW()","v":57}]
[null,"Orange",null,null,null,null,279646699.81,8.1250000000000003E-2,4.1250000000000002E-2,6779000000,null,{"$f":"ROW()","v":58}]
[null,"Putnam",null,null,null,null,58791987.93,8.3750000000000005E-2,4.3750000000000004E-2,1344000000,null,{"$f":"ROW()","v":59}]
[null,"Rockland",null,null,null,null,209114362.31999999,8.3750000000000005E-2,4.3750000000000004E-2,4780000000,null,{"$f":"ROW()","v":60}]
[null,"Suffolk",null,null,null,null,1383711454.97,8.6249999999999993E-2,4.6249999999999993E-2,29918000000,null,{"$f":"ROW()","v":61}]
[null,"Westchester except 4 cities below",null,null,null,null,525513104.22000003,7.3749999999999996E-2,3.3749999999999995E-2,15571000000,null,{"$f":"ROW()","v":62}]
[null,"Mount Vernon",null,null,null,null,20264450.219999999,8.3750000000000005E-2,4.3750000000000004E-2,463000000,null,{"$f":"ROW()","v":63}]
[null,"New Rochelle",null,null,null,null,28226380.129999999,8.3750000000000005E-2,4.3750000000000004E-2,645000000,null,{"$f":"ROW()","v":64}]
[null,"White Plains",null,null,null,null,49244842.590000004,8.3750000000000005E-2,4.3750000000000004E-2,1126000000,null,{"$f":"ROW()","v":65}]
[null,"Yonkers",null,null,null,null,{"$f":"60555818.33+30371777.83","v":90927596.159999996},8.3750000000000005E-2,4.3750000000000004E-2,2078000000,null,{"$f":"ROW()","v":66}]
[null,"Source: Sales tax collections are from Excel file, as570.xls, downloaded from NY State Dept of Taxation and Finance Web site, https://www.tax.ny.gov/research/stats/statistics/sales_tax/government/transparency_reports_list.htm, Oct 21, 2018. Combined State/Local Sales Tax Rates are from Rand New York. Updated: Feb. 2, 2010. Available at: http://bit.ly/ciKUrF. Local rates are Combined rates less 4.00% (percentage points), which is state portion. Sales Tax Base is calculated by dividing sales tax collections by respective local sales tax rate. Yonkers figure = \"Yonkers City\" + \"Yonkers Special.\"",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"12-County Total, Taxable Sales (rounded)",null,null,null,null,null,null,null,{"$f":"SUM(J55:J66)","v":244395000000},null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Sum of eight rows, \",L55, \"-\",L62, \".\")","v":"Sum of eight rows, 55-62."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Assumed attrition in taxable sales due to increase in tax rate",null,null,null,null,null,null,null,5.0000000000000001E-3,null,{"$f":"ROW()","v":73}]
[null,"Komanoff estimate. Ideally would be parametrized to magnitude of tax increase.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Assumed annual increase in taxable sales going forward.",null,null,null,null,null,null,null,0.01,null,{"$f":"ROW()","v":75}]
[null,"Komanoff estimate. ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Benchmark year for tax calculations in table",null,null,null,null,null,null,null,2017,null,{"$f":"ROW()","v":77}]
[null,"Benchmark year for tax calculations for this analysis",null,null,null,null,null,null,null,2018,null,{"$f":"ROW()","v":78}]
[null,"No. of years to benchmark year from most recent period reflected in taxable sales figure.",null,null,null,null,null,null,null,{"$f":"J78-J77","v":1},null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",L77, \" and \",L54, \".\")","v":"Difference between Rows 77 and 54."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Projected % increase in taxable sales from most recent level to benchmark year.",null,null,null,null,null,null,null,{"$f":"(1+J75)^J79-1","v":1.0000000000000009E-2},null,{"$f":"ROW()","v":81}]
[null,{"$f":"CONCATENATE(\"Calculated by exponentiating % in Row \",L75, \" for number of years indicated in Row \",L79, \".\")","v":"Calculated by exponentiating % in Row 75 for number of years indicated in Row 79."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Available Base for Sales Tax in Benchmark Year (rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J71*(1-J73)*(1+J81),-6)","v":245605000000},null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Calculated by increasing Row \",L71, \" by Row \",L81, \" and decreasing the result by Row \",L73, \".\")","v":"Calculated by increasing Row 71 by Row 81 and decreasing the result by Row 73."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,{"$f":"CONCATENATE(\"Revenue needed to match projection from \",Select_Plan_Box,\".\")","v":"Revenue needed to match projection from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"Results!K$69*1000000","v":1910000000},null,{"$f":"ROW()","v":85}]
[null,{"$f":"CONCATENATE(\"From 'Results' tab, Cell C\",Results!N14, \".\")","v":"From 'Results' tab, Cell C14."},null,null,null,null,null,null,null,null,"This is expressed in percentage points.",{"$f":"ROW()","v":86}]
[null,{"$f":"CONCATENATE(\"% change in sales tax to yield net revenue projected from \",Select_Plan_Box, \".\")","v":"% change in sales tax to yield net revenue projected from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"J85/J83","v":7.7767146434315265E-3},null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L85, \" to Row \",L83, \".\")","v":"Ratio of Row 85 to Row 83."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Current total sales tax rate in NYC (Note: rate in most surrounding counties is slightly lower, varying from 7.375% in Westchester (outside of cities) to 8.625% in Nassau & Suffolk, per \"New York State Tax Rates.\" Rand New York. Updated: Feb. 2, 2010. Available at: http://bit.ly/ciKUrF.)",null,null,null,null,null,null,null,8.8749999999999996E-2,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"New NYC sales tax rate, to yield net revenue projected from \",Select_Plan_Box, \"\")","v":"New NYC sales tax rate, to yield net revenue projected from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"J89+J87","v":9.6526714643431516E-2},null,{"$f":"ROW()","v":92}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L87, \" and \",L89, \".\")","v":"Sum of Rows 87 and 89."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Current Sales Tax for MTA across 12-county MTA Region",null,null,null,null,null,null,null,3.7499999999999999E-3,null,{"$f":"ROW()","v":94}]
[null,"Source: Metropolitan Commuter Transportation District (MCTD) Sales and Use Tax Rate Increase Effective June 1, 2005. NYS Dept. of Taxation and Finance. Available at: http://bit.ly/e27AOM .",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"Multiple to current MTA sales tax implied by additional \",ROUND(J87*100,2), \"% tax shown in Cell J\",L87,\".\")","v":"Multiple to current MTA sales tax implied by additional 0.78% tax shown in Cell J87."},null,null,null,null,null,null,null,{"$f":"J87/J94","v":2.0737905715817404},null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L87, \" to Row \",L94, \".\")","v":"Ratio of Row 87 to Row 94."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"B. Raising the Motor Fuel Tax in the 12-County MTA Region",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Present motor fuel taxes that are local or are allocable to the MTA (does not include standard state tax rate)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Petroleum Business Tax Rate (per gallon)",null,null,null,null,null,null,null,0.16900000000000001,null,{"$f":"ROW()","v":103}]
[null,"Source: NYS DTF, Fuel tax rates. Article 13-A, Publication 908 (1/18). Was $0.184 in 2014, $0.178 in 2015, $0..170 in 2016, $0.162 in 2017 (same source).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"State Excise Tax Rate (per gallon)",null,null,null,null,null,null,null,8.0500000000000002E-2,null,{"$f":"ROW()","v":105}]
[null,"Source: NYS DTF, Fuel tax rates. Article 13-A, Publication 908 (1/14). Includes petroleum testing fee.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Total Motor Fuel Taxes collected by NYS, allocable to the MTA",null,null,null,null,null,null,null,{"$f":"SUM(J103:J105)","v":0.2495},null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L103, \" and \",L105, \".\")","v":"Sum of Rows 103 and 105."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"NYC Sales Tax Rate on gasoline ",null,null,null,null,null,null,4.4999999999999998E-2,null,null,{"$f":"ROW()","v":109}]
[null,"Source: Sales and Use Tax. New York City Finance. \"Tax rate.\" 2018. Available at: https://www1.nyc.gov/site/finance/taxes/business-nys-sales-tax.page",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,{"$f":"CONCATENATE(\"Approx. price of gas/gallon, to which % in Cell E\",L109,\" is applied.\")","v":"Approx. price of gas/gallon, to which % in Cell E109 is applied."},null,null,null,null,null,null,3,null,null,{"$f":"ROW()","v":111}]
[null,"Based loosely on U.S. average retail price of all grades of gasoline, Jan-Aug 2018 of $2.66 (w/o taxes), calc'd from data in Monthly Energy Review, Table 9.4.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,{"$f":"CONCATENATE(\"Local Sales Tax (\",I109*100, \"% of price in dollars)\")","v":"Local Sales Tax (4.5% of price in dollars)"},null,null,null,null,null,null,null,{"$f":"I109*I111","v":0.13500000000000001},null,{"$f":"ROW()","v":113}]
[null,"Total State and Local Motor Fuel Taxes in New York City, baseline:",null,null,null,null,null,null,null,{"$f":"SUM(J107:J113)","v":0.38450000000000001},null,{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L107, \" and \",L113, \".\")","v":"Sum of Rows 107 and 113."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Taxable motor fuel consumed in MTA Region, gallons, 2017",null,null,null,null,null,null,null,3000811994.5,null,{"$f":"ROW()","v":116}]
[null,"Email communication from \"Ziter, Cary B (TAX)\" <Cary.Ziter@tax.ny.gov>, Nov.134, 2018, in response to Komanoff inquiry. Figure shown is 12 months, March 2017 - Feb 2018. For comparison, prior 12 months (3/16-2/17):  2,906,712,823; preceding 12 months (3/15-2/16): 2,837,150,170.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Assumed annual change in motor fuel sales in MTA region, going forward from 2017.",null,null,null,null,null,null,null,0.01,null,{"$f":"ROW()","v":120}]
[null,"Komanoff estimate, based on expectation that post-2014 drop in gasoline price will more than offset (putative) trend toward improved fuel economy.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Benchmark year for tax calculations",null,null,null,null,null,null,null,2018,null,{"$f":"ROW()","v":122}]
[null,"No. of years to benchmark year from most recent period reflected in taxable sales figure.",null,null,null,null,null,null,null,{"$f":"J122-2017","v":1},null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Difference between Row \",L122, \" and 2014.\")","v":"Difference between Row 122 and 2014."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Projected % change in taxable sales from most recent level to benchmark year.",null,null,null,null,null,null,null,{"$f":"(1+J120)^J123-1","v":1.0000000000000009E-2},null,{"$f":"ROW()","v":125}]
[null,{"$f":"CONCATENATE(\"Calculated by exponentiating % in Row \",L120, \" for number of years indicated in Row \",L123, \".\")","v":"Calculated by exponentiating % in Row 120 for number of years indicated in Row 123."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Assumed attrition in taxable motor fuel sales due to increase in motor fuel tax rate",null,null,null,null,null,null,null,0.02,null,{"$f":"ROW()","v":127}]
[null,"Komanoff estimate. Ideally would be parametrized to magnitude of tax increase.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Estimated Available Base for Motor Fuels Tax in Benchmark Year, Gallons (rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J116*(1+J125)*(1-J127),-6)","v":2970000000},null,{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Calculated by increasing Row \",L116, \" by Row \",L125, \" and decreasing the result by Row \",L127, \".\")","v":"Calculated by increasing Row 116 by Row 125 and decreasing the result by Row 127."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,{"$f":"CONCATENATE(\"Revenue needed to match projection from \",Select_Plan_Box,\".\")","v":"Revenue needed to match projection from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"Results!K$69*1000000","v":1910000000},null,{"$f":"ROW()","v":131}]
[null,{"$f":"CONCATENATE(\"From 'Results' tab, Cell C\",Results!N$14, \".\")","v":"From 'Results' tab, Cell C14."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"Increase in motor fuels tax to yield net revenue projected from \",Select_Plan_Box, \".\")","v":"Increase in motor fuels tax to yield net revenue projected from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"J131/J129","v":0.64309764309764306},null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L131, \" to Row \",L129, \".\")","v":"Ratio of Row 131 to Row 129."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Revised total rate per gallon of fuel of MTA-dedicated tax",null,null,null,null,null,null,null,{"$f":"J114+J133","v":1.027597643097643},null,{"$f":"ROW()","v":135}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L114, \" and \",L133, \".\")","v":"Sum of Rows 114 and 133."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Implied % Increase in MTA-dedicated motor fuel tax",null,null,null,null,null,null,null,{"$f":"J135/J114-1","v":1.6725556387454956},null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L135, \" to Row \",L114, \".\")","v":"Ratio of Row 135 to Row 114."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"C. Raising the Payroll Mobility Tax Rate in the 12-County MTA Region",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Current (1Q 2017 actual) revenue generated by PMT",null,null,null,null,null,null,null,483000000,null,{"$f":"ROW()","v":142}]
[null,"MTA, \"Consolidated Interim Financial Statements as of and for the Three-Month Period Ended March 31, 2018,\" p 26 of 131, available at http://web.mta.info/mta/budget/pdf/MTA-Consolidated-Financial-Statements-2018-Q1_Issued.pdf",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Current (2017 est'd) revenue generated by PMT",null,null,null,null,null,null,null,{"$f":"4*J142","v":1932000000},null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Four times Row \",L142, \".\")","v":"Four times Row 142."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"PMT Rate",null,null,null,null,null,null,null,3.3999999999999998E-3,null,{"$f":"ROW()","v":147}]
[null,"No source needed. Figure is commonly known.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,{"$f":"CONCATENATE(\"Revenue needed to match projection from \",Select_Plan_Box,\".\")","v":"Revenue needed to match projection from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"Results!K$69*1000000","v":1910000000},null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"From 'Results' tab, Cell C\",Results!N$14, \".\")","v":"From 'Results' tab, Cell C14."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,{"$f":"CONCATENATE(\"Increase in Payroll Mobility Tax rate to match revenue from \",Select_Plan_Box, \".\")","v":"Increase in Payroll Mobility Tax rate to match revenue from Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"J149/J145*J147","v":3.3612836438923393E-3},null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"Calculated by prorating the current PMT rate shown in Row \",L147, \" by the ratio of Row \",L149, \" to Row \",L142,\".\")","v":"Calculated by prorating the current PMT rate shown in Row 147 by the ratio of Row 149 to Row 142."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,{"$f":"CONCATENATE(\"Rate required to generate projected 2017 revenue plus revenue projected for \",Select_Plan_Box, \".\")","v":"Rate required to generate projected 2017 revenue plus revenue projected for Fix NYC higher-range plan."},null,null,null,null,null,null,null,{"$f":"J147+J151","v":6.7612836438923386E-3},null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L147, \" and \",L151, \".\")","v":"Sum of Rows 147 and 151."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"D. Raising Automobile Registration Fees in NYC (but not in the 7 \"suburban\" MTA counties)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Number of Registered Automobiles in the five boroughs",null,null,null,null,null,null,null,{"$f":"Incidence!V572","v":1879464},null,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"From 'Incidence' worksheet, Cell V\",Incidence!AA572, \". Drawn from U.S. Census, American Community Survey, 2012 data.\")","v":"From 'Incidence' worksheet, Cell V572. Drawn from U.S. Census, American Community Survey, 2012 data."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"Revenue needed to match projection from \",Select_Plan_Box,\"\")","v":"Revenue needed to match projection from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"Results!K$69*1000000","v":1910000000},null,{"$f":"ROW()","v":160}]
[null,{"$f":"CONCATENATE(\"From 'Results' tab, Cell C\",Results!N$14, \".\")","v":"From 'Results' tab, Cell C14."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Incrs in NYC per-auto registration fee to match revenue from \",Select_Plan_Box,\"\")","v":"Incrs in NYC per-auto registration fee to match revenue from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"J160/J158","v":1016.2471853677431},null,{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L160, \" to Row \",L158, \". Assumes no exemptions/leakage; also ignores trucks.\")","v":"Ratio of Row 160 to Row 158. Assumes no exemptions/leakage; also ignores trucks."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"No of Reg. Motor Veh's (passenger + commercial + half-a-dozen other categories) in 5 boroughs",null,null,null,null,null,null,null,{"$f":"Incidence!V570","v":2107321},null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"From 'Incidence' worksheet, Cell V\",Incidence!AA570, \". Drawn from NYMTC data for 2015.\")","v":"From 'Incidence' worksheet, Cell V570. Drawn from NYMTC data for 2015."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"Incrs in NYC per-motor vehicle registration fee to match revenue from \",Select_Plan_Box,\"\")","v":"Incrs in NYC per-motor vehicle registration fee to match revenue from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"J160/J164","v":906.36405179846827},null,{"$f":"ROW()","v":166}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L$182, \" to Row \",L164, \". Assumes no exemptions/leakage; includes all motor vehicles, not just passenger vehs.\")","v":"Ratio of Row 182 to Row 164. Assumes no exemptions/leakage; includes all motor vehicles, not just passenger vehs."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Results: Impacts, by borough (based on surcharging passenger autos only)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,{"$f":"Incidence!G569","v":"Bronx"},{"$f":"Incidence!H569","v":"Brooklyn"},{"$f":"Incidence!I569","v":"Manhattan"},{"$f":"Incidence!J569","v":"Queens"},{"$f":"Incidence!K569","v":"S.I."},{"$f":"Incidence!V569","v":"NYC"},"NYC w/o Manhattan",null,{"$f":"ROW()","v":170}]
[null,"Autos per Household",null,{"$f":"Incidence!G586","v":0.50656753043207881},{"$f":"Incidence!H586","v":0.48153498242747733},{"$f":"Incidence!I586","v":0.30372204648272499},{"$f":"Incidence!J586","v":0.91183944619650947},{"$f":"Incidence!K586","v":1.5741307167151981},{"$f":"Incidence!V586","v":0.60906587370463672},{"$f":"Incidence!W586","v":0.70653636739844938},null,{"$f":"ROW()","v":171}]
[null,"Annual cost per Household",null,{"$f":"$J$162*D171","v":514.79782700028863},489.35857054802949,308.65667487220009,926.65427070448436,1599.7059102627281,618.96147985588232,718.0155947286238,null,{"$f":"ROW()","v":172}]
[null,"Total, $ millions per yr",null,{"$f":"$J$162*Incidence!G572/1000000","v":245.03244009994336},{"$f":"$J$162*Incidence!H572/1000000","v":449.88348273763154},{"$f":"$J$162*Incidence!I572/1000000","v":230.46961793362362},{"$f":"$J$162*Incidence!J572/1000000","v":723.1137334899737},{"$f":"$J$162*Incidence!K572/1000000","v":261.50072573882767},{"$f":"$J$162*Incidence!V572/1000000","v":1910},{"$f":"$J$162*Incidence!W572/1000000","v":1679.5303820663762},null,{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"Row \",L171, \" is copied from 'Incidence' tab, Row \",Incidence!AA586, \".\")","v":"Row 171 is copied from 'Incidence' tab, Row 586."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,{"$f":"CONCATENATE(\"Row \",L172, \" is product of per-auto fee in Cell J\",L162, \" and borough avg # of autos per HH in Row \",L171, \".\")","v":"Row 172 is product of per-auto fee in Cell J162 and borough avg # of autos per HH in Row 171."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Row \",L173, \" is product of per-auto fee in Cell J\",L162, \" and borough total # of autos per HH from 'Incidence' tab, Row \",Incidence!AA572, \".\")","v":"Row 173 is product of per-auto fee in Cell J162 and borough total # of autos per HH from 'Incidence' tab, Row 572."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"E. Raising Automobile Registration Fees in all 12 MTA counties",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Number of Registered Automobiles (passenger vehicles only) in five boroughs + seven non-NYC MTA counties",null,null,null,null,null,null,null,{"$f":"Incidence!U572","v":5290965},null,{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"From 'Incidence' worksheet, Cell U\",Incidence!AA572, \". Drawn from NYMTC data for 2015.\")","v":"From 'Incidence' worksheet, Cell U572. Drawn from NYMTC data for 2015."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Revenue needed to match projection from \",Select_Plan_Box,\"\")","v":"Revenue needed to match projection from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"Results!K$69*1000000","v":1910000000},null,{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"From 'Results' tab, Cell C\",Results!N$14, \".\")","v":"From 'Results' tab, Cell C14."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,{"$f":"CONCATENATE(\"Incrs in NYC per-auto registration fee to match revenue from \",Select_Plan_Box,\"\")","v":"Incrs in NYC per-auto registration fee to match revenue from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"J182/J180","v":360.99274895978334},null,{"$f":"ROW()","v":184}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L$182, \" to Row \",L180, \". Assumes no exemptions/leakage; also ignores trucks.\")","v":"Ratio of Row 182 to Row 180. Assumes no exemptions/leakage; also ignores trucks."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"No of Reg. Motor Veh's (passenger + commercial + half-a-dozen other categories) in 5 boroughs + 7 other MTA counties",null,null,null,null,null,null,null,{"$f":"Incidence!U570","v":5899245},null,{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"From 'Incidence' worksheet, Cell U\",Incidence!AA570, \". Drawn from NYMTC data for 2015.\")","v":"From 'Incidence' worksheet, Cell U570. Drawn from NYMTC data for 2015."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,{"$f":"CONCATENATE(\"Incrs in NYC per-motor vehicle registration fee to match revenue from \",Select_Plan_Box,\"\")","v":"Incrs in NYC per-motor vehicle registration fee to match revenue from Fix NYC higher-range plan"},null,null,null,null,null,null,null,{"$f":"J182/J186","v":323.77024517544191},null,{"$f":"ROW()","v":188}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L$182, \" to Row \",L186, \". Assumes no exemptions/leakage; includes all motor vehicles, not just passenger vehs.\")","v":"Ratio of Row 182 to Row 186. Assumes no exemptions/leakage; includes all motor vehicles, not just passenger vehs."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"F. \"Millionaires' Tax\"",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"In 2017, Mayor Bill de Blasio and NY State Senator Michael Gianaris, Democrat of Queen, have separately proposed raising the top marginal tax rate on income earned by people filing taxes in NYC. This has been dubbed the millionaires' tax.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"In a news article dated Aug 6, 2017, The NY Times reported that \"The proposed new tax would raise about $700 million to $800 million a year, with more than $500 million going toward capital costs for subways and buses and about $250 million for the half-price MetroCard program, city officials said. It would increase the city’s highest income tax rate by about half a percentage point, to 4.4 percent from about 3.9 percent, for married couples with incomes above $1 million and individuals who make more than $500,000.\"",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Link: https://www.nytimes.com/2017/08/06/nyregion/bill-de-blasio-will-push-for-tax-on-wealthy-to-fix-subway.html",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Taking the mean revenue figure of $750 million and extrapolating linearly, raising $1.5 billion would require raising the top tax rate by twice the increment noted in the article, i.e., from its current 3.9 percent to 4.9 percent.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"G. Dedicating a fixed percentage of state tax receipts to transportation",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"In 2017, NY State Assembly Member Jeffrey Dinowitz proposed dedicating 2 percent of total NY State tax receipts to improving transportation infrastructure.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"NYS FY2017-2018 tax receipts totaled $76 billion (of which: $51.5B Personal Income; $6.1B Corporation & Business; $15.7 Sales, Excise and User; $2.4B Property Transfers; $0.2B Other Taxes and Fees). Source: https://www.tax.ny.gov/research/collections/fy_collections _stat_report/2017_2018_annual_statistical_report_of_ny_state_tax_collections.htm",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Two percent of the $76B total is $1.52 billion, or roughly equal to the $1.5B that would be raised by the Move NY plan.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"H. Raising the Payroll Mobility Tax",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"No county breakdowns of revenue generated for the PMT are readily available. As a proxy, we use sales tax bases, calculated in Rows \",L55, \"-\",L66, \".\")","v":"No county breakdowns of revenue generated for the PMT are readily available. As a proxy, we use sales tax bases, calculated in Rows 55-66."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,"2013 Sales Tax Base ($ 106)",null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,"Current PMT Rate",null,"% of Sales Tax Base","Est'd revenue contrib to PMT","Alt PMT Rate \"A\"","PMT revenue w/ Rate \"A\"","Alt PMT Rate \"B\"","PMT revenue w/ Rate \"B\"",{"$f":"ROW()","v":220},"Alt PMT Rate \"C\"","PMT revenue w/ Rate \"C\"","Alt PMT Rate \"D\"","PMT revenue w/ Rate \"D\"","Alt PMT Rate \"E\"","PMT revenue w/ Rate \"E\"","Alt PMT Rate \"F\"","PMT revenue w/ Rate \"F\""]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"New York City",null,3.3999999999999998E-3,{"$f":"J55/1000000","v":152186},{"$f":"E222/$E$230","v":0.62270504715726593},{"$f":"ROUND(F222*$J$142,-3)","v":300767000},{"$f":"$D222","v":3.3999999999999998E-3},{"$f":"ROUND(H222/$D222*$G222,-3)","v":300767000},3.3E-3,{"$f":"ROUND(J222/$D222*$G222,-3)","v":291921000},{"$f":"ROW()","v":222},3.3999999999999998E-3,{"$f":"ROUND(M222/$D222*$G222,-3)","v":300767000},3.5999999999999999E-3,{"$f":"ROUND(O222/$D222*$G222,-3)","v":318459000},4.0000000000000001E-3,{"$f":"ROUND(Q222/$D222*$G222,-3)","v":353844000},4.5999999999999999E-3,{"$f":"ROUND(S222/$D222*$G222,-3)","v":406920000}]
[null,"Dutchess",null,3.3999999999999998E-3,4437,1.8155035904989875E-2,8769000,1.1000000000000001E-3,2837000,1.1000000000000001E-3,2837000,{"$f":"ROW()","v":223},2.2000000000000001E-3,5674000,2.3999999999999998E-3,6190000,2E-3,5158000,1.1000000000000001E-3,2837000]
[null,"Nassau",null,3.3999999999999998E-3,25068,0.10257165653961824,49542000,2.2000000000000001E-3,32057000,2.2000000000000001E-3,32057000,{"$f":"ROW()","v":224},2.8E-3,40799000,3.0000000000000001E-3,43714000,3.0000000000000001E-3,43714000,2.2000000000000001E-3,32057000]
[null,"Orange",null,3.3999999999999998E-3,6779,2.7737883344585608E-2,13397000,1.1000000000000001E-3,4334000,1.1000000000000001E-3,4334000,{"$f":"ROW()","v":225},2.2000000000000001E-3,8669000,2.3999999999999998E-3,9457000,2E-3,7881000,1.1000000000000001E-3,4334000]
[null,"Putnam",null,3.3999999999999998E-3,1344,5.4992941754127538E-3,2656000,1.1000000000000001E-3,859000,1.1000000000000001E-3,859000,{"$f":"ROW()","v":226},2.2000000000000001E-3,1719000,2.3999999999999998E-3,1875000,2E-3,1562000,1.1000000000000001E-3,859000]
[null,"Rockland",null,3.3999999999999998E-3,4780,1.9558501606006671E-2,9447000,1.1000000000000001E-3,3056000,1.1000000000000001E-3,3056000,{"$f":"ROW()","v":227},2.2000000000000001E-3,6113000,2.3999999999999998E-3,6668000,2E-3,5557000,1.1000000000000001E-3,3056000]
[null,"Suffolk",null,3.3999999999999998E-3,29918,0.122416579717261,59127000,1.1000000000000001E-3,19129000,1.1000000000000001E-3,19129000,{"$f":"ROW()","v":228},2.2000000000000001E-3,38259000,2.3999999999999998E-3,41737000,2E-3,34781000,1.1000000000000001E-3,19129000]
[null,"Westchester",null,3.3999999999999998E-3,{"$f":"SUM(J62:J66)/1000000","v":19883},8.1356001554859961E-2,39295000,2.2000000000000001E-3,25426000,2.2000000000000001E-3,25426000,{"$f":"ROW()","v":229},2.8E-3,32361000,3.0000000000000001E-3,34672000,3.0000000000000001E-3,34672000,2.2000000000000001E-3,25426000]
[null,"T O T A L",null,null,{"$f":"SUM(E222:E229)","v":244395},1,{"$f":"SUM(G222:G229)","v":483000000},null,{"$f":"SUM(I222:I229)","v":388465000},null,{"$f":"SUM(K222:K229)","v":379619000},{"$f":"ROW()","v":230},null,{"$f":"SUM(N222:N229)","v":434361000},null,{"$f":"SUM(P222:P229)","v":462772000},null,{"$f":"SUM(R222:R229)","v":487169000},null,{"$f":"SUM(T222:T229)","v":494618000}]
[null,"Difference from current total (rounded to nearest $ million)",null,null,null,null,null,null,{"$f":"ROUND(I230-$G$230,-6)","v":-95000000},null,{"$f":"ROUND(K230-$G$230,-6)","v":-103000000},{"$f":"ROW()","v":231},null,{"$f":"ROUND(N230-$G$230,-6)","v":-49000000},null,{"$f":"ROUND(P230-$G$230,-6)","v":-20000000},null,{"$f":"ROUND(R230-$G$230,-6)","v":4000000},null,{"$f":"ROUND(T230-$G$230,-6)","v":12000000}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"2. Aggregation of some of the results in Part 1 directly above",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,"New York City (Bklyn, Bx, Man, Qns, S.I.)","Inner Suburban (Nassau + Westchester)","Outer Suburban (Dutch, Orange, Put, Rock, Suff)","Total\n(all 12 counties in MTA tax district)",null,{"$f":"ROW()","v":234}]
[null,"PMT Revenues, hypothetical scenarios, summary",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Current PMT Rate for this jurisdiction",null,null,null,null,3.3999999999999998E-3,3.3999999999999998E-3,3.3999999999999998E-3,null,null,{"$f":"ROW()","v":238}]
[null,"Current PMT Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(G222,-6)","v":301000000},{"$f":"ROUND(G224+G229,-6)","v":89000000},{"$f":"ROUND(SUM(G223:G228)-G224,-6)","v":93000000},{"$f":"SUM(G239:I239)","v":483000000},null,{"$f":"ROW()","v":239}]
[null,"This jurisdiction's share of Current PMT Revenue",null,null,null,null,{"$f":"G239/$J239","v":0.62318840579710144},{"$f":"H239/$J239","v":0.18426501035196688},{"$f":"I239/$J239","v":0.19254658385093168},{"$f":"SUM(G240:I240)","v":1},null,{"$f":"ROW()","v":240}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G239-G$239","v":0},{"$f":"H239-H$239","v":0},{"$f":"I239-I$239","v":0},{"$f":"SUM(G241:I241)","v":0},null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"Alternative Rate \"A\" (slightly more than 3-2-1 ratio)",null,null,null,null,{"$f":"H222","v":3.3999999999999998E-3},{"$f":"H224","v":2.2000000000000001E-3},{"$f":"H223","v":1.1000000000000001E-3},null,null,{"$f":"ROW()","v":243}]
[null,"Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(I222,-6)","v":301000000},{"$f":"ROUND(I224+I229,-6)","v":57000000},{"$f":"ROUND(SUM(I223:I228)-I224,-6)","v":30000000},{"$f":"SUM(G244:I244)","v":388000000},null,{"$f":"ROW()","v":244}]
[null,"This jurisdiction's share",null,null,null,null,{"$f":"G244/$J244","v":0.77577319587628868},{"$f":"H244/$J244","v":0.14690721649484537},{"$f":"I244/$J244","v":7.7319587628865982E-2},{"$f":"SUM(G245:I245)","v":1},null,{"$f":"ROW()","v":245}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G244-G$239","v":0},{"$f":"H244-H$239","v":-32000000},{"$f":"I244-I$239","v":-63000000},{"$f":"SUM(G246:I246)","v":-95000000},null,{"$f":"ROW()","v":246}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"Alternative Rate \"B\" (exactly 3-2-1 ratio)",null,null,null,null,{"$f":"J222","v":3.3E-3},{"$f":"J224","v":2.2000000000000001E-3},{"$f":"J223","v":1.1000000000000001E-3},null,null,{"$f":"ROW()","v":248}]
[null,"Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(K222,-6)","v":292000000},{"$f":"ROUND(K224+K229,-6)","v":57000000},{"$f":"ROUND(SUM(K223:K228)-K224,-6)","v":30000000},{"$f":"SUM(G249:I249)","v":379000000},null,{"$f":"ROW()","v":249}]
[null,"This jurisdiction's share ",null,null,null,null,{"$f":"G249/$J249","v":0.77044854881266489},{"$f":"H249/$J249","v":0.15039577836411611},{"$f":"I249/$J249","v":7.9155672823219003E-2},{"$f":"SUM(G250:I250)","v":1},null,{"$f":"ROW()","v":250}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G249-G$239","v":-9000000},{"$f":"H249-H$239","v":-32000000},{"$f":"I249-I$239","v":-63000000},{"$f":"SUM(G251:I251)","v":-104000000},null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Alternative Rate \"C\" (milder pitch, roughly 6-5-4)",null,null,null,null,{"$f":"M222","v":3.3999999999999998E-3},{"$f":"M224","v":2.8E-3},{"$f":"M223","v":2.2000000000000001E-3},null,null,{"$f":"ROW()","v":253}]
[null,"Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(N222,-6)","v":301000000},{"$f":"ROUND(N224+N229,-6)","v":73000000},{"$f":"ROUND(SUM(N223:N228)-N224,-6)","v":60000000},{"$f":"SUM(G254:I254)","v":434000000},null,{"$f":"ROW()","v":254}]
[null,"This jurisdiction's share",null,null,null,null,{"$f":"G254/$J254","v":0.69354838709677424},{"$f":"H254/$J254","v":0.16820276497695852},{"$f":"I254/$J254","v":0.13824884792626729},{"$f":"SUM(G255:I255)","v":1},null,{"$f":"ROW()","v":255}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G254-G$239","v":0},{"$f":"H254-H$239","v":-16000000},{"$f":"I254-I$239","v":-33000000},{"$f":"SUM(G256:I256)","v":-49000000},null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,"Alternative Rate \"D\" (exactly 6-5-4, more $$ than \"C\")",null,null,null,null,{"$f":"O222","v":3.5999999999999999E-3},{"$f":"O224","v":3.0000000000000001E-3},{"$f":"O223","v":2.3999999999999998E-3},null,null,{"$f":"ROW()","v":258}]
[null,"Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(P222,-6)","v":318000000},{"$f":"ROUND(P224+P229,-6)","v":78000000},{"$f":"ROUND(SUM(P223:P228)-P224,-6)","v":66000000},{"$f":"SUM(G259:I259)","v":462000000},null,{"$f":"ROW()","v":259}]
[null,"This jurisdiction's share",null,null,null,null,{"$f":"G259/$J259","v":0.68831168831168832},{"$f":"H259/$J259","v":0.16883116883116883},{"$f":"I259/$J259","v":0.14285714285714285},{"$f":"SUM(G260:I260)","v":1},null,{"$f":"ROW()","v":260}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G259-G$239","v":17000000},{"$f":"H259-H$239","v":-11000000},{"$f":"I259-I$239","v":-27000000},{"$f":"SUM(G261:I261)","v":-21000000},null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Alternative Rate \"E\" (4-3-2, revenue-neutral vs. today)",null,null,null,null,{"$f":"Q222","v":4.0000000000000001E-3},{"$f":"Q224","v":3.0000000000000001E-3},{"$f":"Q223","v":2E-3},null,null,{"$f":"ROW()","v":263}]
[null,"Revenue from this jurisdiction",null,null,null,null,{"$f":"ROUND(R222,-6)","v":354000000},{"$f":"ROUND(R224+R229,-6)","v":78000000},{"$f":"ROUND(SUM(R223:R228)-R224,-6)","v":55000000},{"$f":"SUM(G264:I264)","v":487000000},null,{"$f":"ROW()","v":264}]
[null,"This jurisdiction's share",null,null,null,null,{"$f":"G264/$J264","v":0.7268993839835729},{"$f":"H264/$J264","v":0.16016427104722791},{"$f":"I264/$J264","v":0.11293634496919917},{"$f":"SUM(G265:I265)","v":1},null,{"$f":"ROW()","v":265}]
[null,"Change from Current PMT Revenue",null,null,null,null,{"$f":"G264-G$239","v":53000000},{"$f":"H264-H$239","v":-11000000},{"$f":"I264-I$239","v":-38000000},{"$f":"SUM(G266:I266)","v":4000000},null,{"$f":"ROW()","v":266}]
[]
[]
[null,"I. Issue Fare-Backed Bonds",null,null,null,null,"Calculations in this section only involve revenues to be used to finance transit capital investments; they exclude costs associated w/ fare discounts, service increases, roads/bridges.",null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"Revenue allocated to transit capital investment",null,null,null,null,null,null,null,{"$f":"S291","v":308000000},null,{"$f":"ROW()","v":273},null,"Calculation of item at left: Revenue allocated to subway and bus capital investment"]
[null,{"$f":"CONCATENATE(\"Either copied from 'Policy Levers' tab, Cell K\",'Policy Levers'!O195, \", or derived in light-purple array directly to right.\")","v":"Either copied from 'Policy Levers' tab, Cell K195, or derived in light-purple array directly to right."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274},null,"Albany unfunded commitment to MTA 2015-2019 capital plan",null,null,null,null,7000000000]
[null,"Share of those revenues allocated to subways",null,null,null,null,null,null,null,{"$f":"IF(Select_Plan_Box=\"Fix NYC medium plan\",100%,85%)","v":0.85},null,{"$f":"ROW()","v":275},null,"This approximate figure is drawn from an April 7, 2016 article in NY1, \"Quiet Provision in State Budget Raises MTA Debt Ceiling, Allows Much More Borrowing,\" http://www.ny1.com/nyc/all-boroughs/politics/2016/04/7/quiet-provision-in-state-budget-raises-mta-debt-ceiling--allows-much-more-borrowing.html, which reports that the new state budget raised the MTA debt ceiling by $7 billion, to $55B from $48B. It effecctively assumes that $1.3 billion of the state's remaining $8.3B obligation to fund the capital plan (as previously reported in http://www.nytimes.com/2015/10/11/nyregion/new-york-city-and-state-reach-agreement-on-mta-capital-plan.html) will be funded from (as yet unspecified) revenues rather than debt)."]
[null,{"$f":"CONCATENATE(\"Complement of % allocation to commuter rail stipulated in 'Transit' tab, Row \",Transit!O227, \"; except = 100% if Scenario #3 chosen.\")","v":"Complement of % allocation to commuter rail stipulated in 'Transit' tab, Row 227; except = 100% if Scenario #3 chosen."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Paid subway ridership, 2016 (projected)",null,null,null,null,null,null,null,{"$f":"ROUND(Subways!M21*1000000,-6)","v":1617000000},null,{"$f":"ROW()","v":279}]
[null,{"$f":"CONCATENATE(\"MTA projection as of early 2016. Copied from 'Subways' tab, Row \",Subways!O20, \". Corresponds to paid fares (counts only 50% of bus-subway transfers).\")","v":"MTA projection as of early 2016. Copied from 'Subways' tab, Row 20. Corresponds to paid fares (counts only 50% of bus-subway transfers)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280},null,"Portion allocable to NYC Transit",null,null,null,null,{"$f":"Transit!I505","v":0.76056338028169013}]
[null,"Assumed annual growth rate in paid subway ridership from 2016",null,null,null,null,null,null,null,0,null,{"$f":"ROW()","v":281},null,{"$f":"CONCATENATE(\"From 'Transit' tab, Cell I\",Transit!O505, \". Calculated as ratio of MTA projected 2015-2019 expenditures on NYC Subways + NYC Buses, to total on subways, buses, LIRR, Metro-North (but excluding MTA Bridges Tunnels) \" & \"Note that percent shown is also NYC Transit's rough share of all transit farebox revenues.\")","v":"From 'Transit' tab, Cell I505. Calculated as ratio of MTA projected 2015-2019 expenditures on NYC Subways + NYC Buses, to total on subways, buses, LIRR, Metro-North (but excluding MTA Bridges Tunnels) Note that percent shown is also NYC Transit's rough share of all transit farebox revenues."}]
[null,"Komanoff placeholder assumption. Set equal to zero for consistent calculation of fare hike required under Scenario #2.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"Paid bus ridership, 2016 (projected)",null,null,null,null,null,null,null,{"$f":"ROUND(Buses!L39*1000000,-6)","v":482000000},null,{"$f":"ROW()","v":283},null,"Subway/bus unfunded commitment to MTA 2015-2019 cap plan (Albany only)",null,null,null,null,{"$f":"ROUND(S280*S274,-6)","v":5324000000}]
[null,{"$f":"CONCATENATE(\"MTA projection as of early 2016. Copied from 'Buses' tab, Row \",Buses!O39, \". Corresponds to paid fares (counts only 50% of bus-subway transfers).\")","v":"MTA projection as of early 2016. Copied from 'Buses' tab, Row 39. Corresponds to paid fares (counts only 50% of bus-subway transfers)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284},null,{"$f":"CONCATENATE(\"Product of Rows \",L280, \" and \",L274, \".\")","v":"Product of Rows 280 and 274."}]
[null,"Projected paid transit ridership (subway and bus combined) in 2016",null,null,null,null,null,null,null,{"$f":"J279+J283","v":2099000000},null,{"$f":"ROW()","v":285},null,"Assumed cost of capital to bond the unfunded commitment",null,null,null,null,0.04]
[null,{"$f":"CONCATENATE(\"Calculated as sum of Rows \",L279, \" and \",L283, \".\")","v":"Calculated as sum of Rows 279 and 283."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286},null,"Komanoff estimate, based on MTA debt schedule in http://web.mta.info/mta/investor/pdf/2015/debt_outstanding.pdf ."]
[null,"First-cut revenue burden per fare ride",null,null,null,null,null,null,null,{"$f":"J273/J285","v":0.14673654121010005},null,{"$f":"ROW()","v":287},null,"Assumed lifetime of bonding for unfunded commitment, years",null,null,null,null,30]
[null,{"$f":"CONCATENATE(\"Row \",L273, \" divided by Row \",L285, \".\")","v":"Row 273 divided by Row 285."},null,null,null,null,null,"Subway","Bus","Combined",null,{"$f":"ROW()","v":288},null,"Komanoff assumption"]
[null,"Actual average fares paid by riders, 2016",null,null,null,null,null,{"$f":"Subways!J33","v":2.1236071173980036},{"$f":"Buses!L44","v":1.9754622261714638},"NA",null,{"$f":"ROW()","v":289},null,"Annual fixed charge rate for bonds to finance unfunded commitment for NYC Transit",null,null,null,null,{"$f":"S285/(1-(1+S285)^(-S287))","v":5.78300991336613E-2}]
[null,{"$f":"CONCATENATE(\"Copied from 'normalized' fares in 'Subways' tab, Cells J\",Subways!O33, \" and 'Buses' tab, L\",Buses!O44, \".\")","v":"Copied from 'normalized' fares in 'Subways' tab, Cells J33 and 'Buses' tab, L44."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290},null,{"$f":"CONCATENATE(\"Standard fixed charge rate formula on Cells S\",L280, \" and S\",L282, \".\")","v":"Standard fixed charge rate formula on Cells S280 and S282."}]
[null,"Implied first-cut fare hike",null,null,null,null,null,{"$f":"$J$287/H289","v":6.9097781792091667E-2},{"$f":"$J$287/I289","v":7.4279598600314509E-2},"NA",null,{"$f":"ROW()","v":291},null,"Annual $ to fin. Albany share of unfunded cap plan commitmt to NYC Transit",null,null,null,null,{"$f":"ROUND(S289*S283,-6)","v":308000000}]
[null,{"$f":"CONCATENATE(\"Ratio of Cell J\",L287, \" to respective 'normalized' fares in Row \",L289, \".\")","v":"Ratio of Cell J287 to respective 'normalized' fares in Row 289."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"Lost transit riders, percent",null,null,null,null,null,{"$f":"1-(1+H291)^Subways!M27","v":9.8134393381726914E-3},{"$f":"1-(1+I291)^Buses!J63","v":1.2559574102440019E-2},null,null,{"$f":"ROW()","v":293}]
[null,{"$f":"CONCATENATE(\"Calc'd by applying price-elasticities from 'Subways' Cell M\",Subways!O27, \" and 'Buses' Cell M\",Buses!O63, \" to first-cut fare hikes in Rows \",L291, \".\")","v":"Calc'd by applying price-elasticities from 'Subways' Cell M27 and 'Buses' Cell M63 to first-cut fare hikes in Rows 291."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,"Lost transit riders (annual)",null,null,null,null,null,{"$f":"ROUND((1-(1+H291)^Subways!M27)*J279,-5)","v":15900000},{"$f":"ROUND((1-(1+I291)^Buses!J63)*J283,-5)","v":6100000},{"$f":"H295+I295","v":22000000},null,{"$f":"ROW()","v":295}]
[null,{"$f":"CONCATENATE(\"Calc'd by applying percent rider attrition in Row \",L293, \" to respective riderships in Rows \",L283, \" and \",L285, \".\")","v":"Calc'd by applying percent rider attrition in Row 293 to respective riderships in Rows 283 and 285."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,"Lost transit revenue (annual)",null,null,null,null,null,{"$f":"ROUND(H295*H289,-5)","v":33800000},{"$f":"ROUND(I295*I289,-5)","v":12100000},{"$f":"H297+I297","v":45900000},null,{"$f":"ROW()","v":297}]
[null,{"$f":"CONCATENATE(\"Product of lost riders in Row \",L295, \" and fares in Row \",L289, \".\")","v":"Product of lost riders in Row 295 and fares in Row 289."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,"Ratio of lost transit revenue to initial transit allocation required for debt financing of capital improvements",null,null,null,null,null,null,null,{"$f":"J297/J273","v":0.14902597402597403},null,{"$f":"ROW()","v":299}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L297, \" to Row \",L295, \" less Row \",L273, \".\")","v":"Ratio of Row 297 to Row 295 less Row 273."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"Factor required to multiply initial transit allocation",null,null,null,null,null,null,null,{"$f":"1/(1-J299)","v":1.1751239984738651},null,{"$f":"ROW()","v":301}]
[null,{"$f":"CONCATENATE(\"Classic formula for sum of infinite geometric series, applied to Row \",L301, \".\")","v":"Classic formula for sum of infinite geometric series, applied to Row 301."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"Final revenue required ",null,null,null,null,null,null,null,{"$f":"ROUND(J301*J273,-5)","v":361900000},null,{"$f":"ROW()","v":303}]
[null,{"$f":"CONCATENATE(\"Product of factor in Row \",L301, \" and initial revenue requirement in Row \",L273, \".\")","v":"Product of factor in Row 301 and initial revenue requirement in Row 273."},null,null,null,null,null,"Subway","Bus","Combined",null,{"$f":"ROW()","v":304}]
[null,"Projected 2016 transit farebox revenues",null,null,null,null,null,{"$f":"Subways!N12*1000000","v":3433554000},{"$f":"Buses!L41*1000000","v":952363000},{"$f":"H305+I305","v":4385917000},null,{"$f":"ROW()","v":305}]
[null,{"$f":"CONCATENATE(\"Copied from 'Subways' tab, Cell N\",Subways!O12, \" and 'Buses' tab, Cell L\",Buses!O41, \".\")","v":"Copied from 'Subways' tab, Cell N12 and 'Buses' tab, Cell L41."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"Final Revenue burden per ride",null,null,null,null,null,null,null,{"$f":"J303/J285","v":0.17241543592186756},null,{"$f":"ROW()","v":307}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L303, \" to Row \",L285, \".\")","v":"Ratio of Row 303 to Row 285."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,"Current (2016) average per-ride fare actually paid by subway and bus riders",null,null,null,null,null,null,null,{"$f":"Transit!J25","v":2.0895804703714811},null,{"$f":"ROW()","v":309}]
[null,{"$f":"CONCATENATE(\"Shown I 'Transit' tab, Cell J\",Transit!O25, \". Calc'd as wghtd avg of per-ride subway fare, $\",ROUND(Transit!H25,3), \" and per-ride bus fare, $\",ROUND(Transit!I25,3), \", shown in same row.\")","v":"Shown I 'Transit' tab, Cell J25. Calc'd as wghtd avg of per-ride subway fare, $2.124 and per-ride bus fare, $1.975, shown in same row."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"Effective percentage fare hike ",null,null,null,null,null,null,null,{"$f":"J303/J305","v":8.2514101384043526E-2},null,{"$f":"ROW()","v":311}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L307, \" to Row \",L309, \".\")","v":"Ratio of Row 307 to Row 309."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"J. NY State Carbon Tax  (added Oct 22, 2018)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Annual NY State CO2 emissions from fossil-fuel combustion in 2015 (in millions of metric tons)",null,null,null,null,null,null,null,168.3,null,{"$f":"ROW()","v":316}]
[null,"https://www.eia.gov/environment/emissions/state/analysis/excel/table1.xlsx",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,"Hypothesized NY State carbon tax rate, pounds per metric ton",null,null,null,null,null,null,null,15,null,{"$f":"ROW()","v":318}]
[null,"That is starting rate of Washington state carbon tax proposed in ballot measure I-1631 (https://ballotpedia.org/Washington_Initiative_1631,_Carbon_Emissions_Fee_Measure_(2018))",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,"Hypothesized NY State carbon tax revenues, not counting attrition from price impact (annual, millions $)",null,null,null,null,null,null,null,{"$f":"J316*J318","v":2524.5},null,{"$f":"ROW()","v":321}]
[null,{"$f":"CONCATENATE(\"Product of emissions in Row \",L316, \" and tax rate in Row \",L318, \".\")","v":"Product of emissions in Row 316 and tax rate in Row 318."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Revenue attrition from price impact of carbon tax",null,null,null,null,null,null,null,0.05,null,{"$f":"ROW()","v":323}]
[null,"Komanoff estimate",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Hypothesized NY State carbon tax revenues, taking attrition into account (annual, millions $)",null,null,null,null,null,null,null,{"$f":"ROUND((1-J323)*J321,-1)","v":2400},null,{"$f":"ROW()","v":325}]
[null,{"$f":"CONCATENATE(\"Product of gross revenue in Row \",L321, \" and complement of attrition percentage rate in Row \",L323, \".\")","v":"Product of gross revenue in Row 321 and complement of attrition percentage rate in Row 323."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Share of NY State carbon tax that could/would be allocated to NYC mass transit",null,null,null,null,null,null,null,0.25,null,{"$f":"ROW()","v":327}]
[null,"Komanoff assumption, seeking to account for presumed majority of emissions that occur outside the MTA region, as well as for competing MTA-region claims on carbon tax revenues",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Hypothesized annual revenue available for NYC mass transit from a NY State carbon tax ",null,null,null,null,null,null,null,{"$f":"J327*J325","v":600},null,{"$f":"ROW()","v":330}]
[null,{"$f":"CONCATENATE(\"Product of transit's share in Row \",L327, \" and statewide revenue in Row \",L325, \".\")","v":"Product of transit's share in Row 327 and statewide revenue in Row 325."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]

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[null,"Why?","The Logical Underpinnings of Congestion Pricing (a brief tutorial)",null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[]
[null,"The text imprinted in the graphic at right distills the essence of the traffic \"problem\": although drivers going to or through congested areas are quite cognizant of traffic's impact on the time their own trip will take, they're largely heedless of the extent to which their trips slow down traffic at large. Indeed, drivers have no need to ponder the \"time costs\" their trips impose on others, since they aren't charged for them."]
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[null,"When traffic is light or even moderate, those time costs are generally modest -- my trip hardly slows down traffic, and there are so few other vehicles that any delays caused by my driving can't amount to much. But in the heavy traffic conditions that typify congested NYC roads -- especially in the Manhattan Central Business District and on the approaches to it -- those costs can be substantial."]
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[null,{"$f":"CONCATENATE(\"In another part of this spreadsheet, the 'Delay Costs' page (tab), we estimate that just the in-bound leg of an average trip into and out of the CBD, from a distance of around \",ROUND('Motor Vs'!I101,0),\" miles, slows down other road users -- cars, trucks, cabs, buses -- by an aggregate total of \",0.5*ROUNDDOWN(2*Delays!N105,-1),\" to \",0.5*ROUNDUP(2*Delays!N105,-1), \" minutes. Yet no 'price signal' compels the would-be driver contemplating that car trip to factor those prospective delays into her or his decision to drive or not.\")","v":"In another part of this spreadsheet, the 'Delay Costs' page (tab), we estimate that just the in-bound leg of an average trip into and out of the CBD, from a distance of around 18 miles, slows down other road users -- cars, trucks, cabs, buses -- by an aggregate total of 75 to 80 minutes. Yet no 'price signal' compels the would-be driver contemplating that car trip to factor those prospective delays into her or his decision to drive or not."}]
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[]
[null,{"$f":"CONCATENATE(\"Congestion pricing, or 'traffic pricing' broadly, 'closes this loop.' It does so through toll charges that incentivize prospective trip-takers to take into account the delays their trips will \"&\"impose on others. This 'cost-internalization' will lead some trip-takers -- just how many depends on the toll level -- to switch their trips to different modes (transit, carpool, bike), to other destinations, or to \"&\"other times of the day or week. The resulting thinning of the traffic stream will improve traffic flow significantly (provided the toll is more than a token dollar or two). We estimate that for the \",Results!K27,\", average speeds of car travel within the Manhattan Central Business District on weekdays will increase by \",100*ROUNDDOWN(Results!B14,2), \"-\",100*ROUNDUP(Results!B14,2), \"%. Though the percentage gains in speeds outside the CBD (on the approaches) will be smaller, traffic volumes there are so great that the aggregate hours saved on trips that use the approaches but don't cross into \" & \"the CBD (and thus won't pay the toll) may even exceed the total time savings on trips going into or through the CBD.\")","v":"Congestion pricing, or 'traffic pricing' broadly, 'closes this loop.' It does so through toll charges that incentivize prospective trip-takers to take into account the delays their trips will impose on others. This 'cost-internalization' will lead some trip-takers -- just how many depends on the toll level -- to switch their trips to different modes (transit, carpool, bike), to other destinations, or to other times of the day or week. The resulting thinning of the traffic stream will improve traffic flow significantly (provided the toll is more than a token dollar or two). We estimate that for the Fix NYC higher-range plan, average speeds of car travel within the Manhattan Central Business District on weekdays will increase by 20-21%. Though the percentage gains in speeds outside the CBD (on the approaches) will be smaller, traffic volumes there are so great that the aggregate hours saved on trips that use the approaches but don't cross into the CBD (and thus won't pay the toll) may even exceed the total time savings on trips going into or through the CBD."}]
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[null,{"$f":"CONCATENATE(\"To see those time savings, go to the 'Results' page (it's a few pages 'up' from this one). Our model estimates that, over the course of a year, the \",Results!K27,\" will save car and truck users a total of \",ROUND(Results!S119,0), \" million hours they now spend sitting in traffic in the CBD, and another \",ROUND(Results!S120,0), \" million hours outside the CBD. Moreover, around \",ROUND(100*'Cost-Benefit'!I247/'Cost-Benefit'!I245,0), \"% of the non-CBD saved hours will be on trips that don't even enter the Manhattan core and thus will not be charged a congestion toll. The monetary value of all of the saved time? Around \",ROUND((Results!R119+Results!R120)/1000,0), \" billion dollars a year, as can be seen elsewhere on that page.\")","v":"To see those time savings, go to the 'Results' page (it's a few pages 'up' from this one). Our model estimates that, over the course of a year, the Fix NYC higher-range plan will save car and truck users a total of 45 million hours they now spend sitting in traffic in the CBD, and another 43 million hours outside the CBD. Moreover, around 70% of the non-CBD saved hours will be on trips that don't even enter the Manhattan core and thus will not be charged a congestion toll. The monetary value of all of the saved time? Around 2 billion dollars a year, as can be seen elsewhere on that page."},null,null,null,null,null,null,null,"Sachs' book was published in 1984, in German; an English edition followed in 1992 (Univ. of California Press) and is available via this link: <http://www.ucpress.edu/book.php?isbn=9780520068780>. The full (English) title is: For Love of the Automobile: Looking Back Into the History of Our Desires. Of the hundreds of books I've read on transport, cities and \"automobility,\" it remains my favorite. Click this link <http://bit.ly/M9fRUk> to access my review in Kokopelli Notes in 1993. For my 2012 meditation, published in Streetsblog, on Sachs and the late American scholar-activist-organizer Richard Grossman, who gifted me the book, click: <http://bit.ly/XWED4U> -- C. Komanoff"]
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[]
[null,{"$f":"CONCATENATE(\"The other big plus from congestion pricing in New York City will be generation of a large and reliable revenue stream that can be used to improve the city and region's transportation infrastructure. \"&\"We estimate that after paying for toll collection and other system costs, the \",Results!K27,\" will be able to provide some $\",ROUNDDOWN(Results!E14/1000,1)/1000000,\" billion to invest *each year* in improved subways, buses, rail and roads. These expenditures will revitalize mass transit, saving transit users an estimated \",ROUND(Results!S121,0), \" million hours in travel time annually and drawing even more car trips off of the roads and into transit (thus contributing to the travel time savings noted in the prior paragraph). Road improvements \" & \"that might also be financed by the congestion revenues will \" & \"generate further road travel time savings that we haven't quantified here.\")","v":"The other big plus from congestion pricing in New York City will be generation of a large and reliable revenue stream that can be used to improve the city and region's transportation infrastructure. We estimate that after paying for toll collection and other system costs, the Fix NYC higher-range plan will be able to provide some $1.91 billion to invest *each year* in improved subways, buses, rail and roads. These expenditures will revitalize mass transit, saving transit users an estimated 97 million hours in travel time annually and drawing even more car trips off of the roads and into transit (thus contributing to the travel time savings noted in the prior paragraph). Road improvements that might also be financed by the congestion revenues will generate further road travel time savings that we haven't quantified here."}]

{"sheet":"Flowchart","index":10,"n_rows":52,"n_cols":6,"rows_kept":52,"cut":false,"hidden":false,"merged":[[25,1,26,1],[4,1,5,4],[7,1,8,4],[10,1,12,4],[14,1,17,4],[20,1,21,4],[23,3,26,3],[23,4,26,4]]}
[null,"Flowchart",null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[]
[]
[null,"This worksheet sketches the key relationships among the four travel modes -- car/truck, taxi, subway and bus -- that are modeled in the BTA. This is done graphically, at right, and schematically, below."]
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[]
[null,"Below, for each vehicle category, we itemize the \"agent\" impacting its use (e.g., the cordon toll, or travel time savings due to it) and specify the direction (positive or negative) of the impact and its approximate magnitude."]
[]
[]
[null,"\"Strength of effect\" is approximate. It is meant to reflect not only the elasticities (which are shown in the Elasticities worksheet), but also the magnitude of the agents (tolls, fares, etc.) assumed in both the 2011 Move NY Plan and the 2015 Move NY - Sam Schwartz Plan, as outlined in the Traffic Plans worksheet. "]
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[]
[]
[null,"Example: for car and truck trips, we assume a larger time-elasticity than price-elasticity; thus, a 10% reduction in travel time would generate a greater percentage increase in car trips than would a 10% reduction in trip cost. Nevertheless, the impact of tolls in almost any NYC cordon toll plan exceeds the \"rebound effect\" of faster travel; this is because the tolls would raise the average price of CBD-bound trips by a greater percent than the time savings would reduce the same trips' travel times."]
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[]
[]
[]
[]
[null,"How Key Parameters (Agents) Affect Mode Choice and Magnitudes (Volumes)\nin the Balanced Transportation Analyzer"]
[]
[]
[null,"Note: \"Transit\" denotes subway and bus service.",null,"Direction of effect (negative or positive)","Strength of effect (large, medium or small)"]
[]
[null,"Dependent Variable (the quantity affected by the agent)"]
[null,null,"Agent (operates on and affects the dependent variable)",null,null,"Interpretation/Explanation"]
[]
[null,"Car and truck trips to CBD","Cordon toll on cars and trucks","Negative","Large","CBD tolls have big impact on number of trips."]
[null,null,"Travel time savings because cordon toll has cut traffic","Positive","Medium","Speed gains make car travel more attractive."]
[null,null,"Improved and/or cheaper transit service","Negative","Small-Medium","Better transit attracts some trips from cars, but not a lot."]
[null,null,"More taxi medallions (yellow cabs)","Negative","Small","More medallions add to CBD gridlock, making car travel less attractive."]
[]
[null,"Yellow cab (taxi) trips","Taxi fare surcharge","Negative","Small","Taxi use is much less price-elastic than car use."]
[null,null,"Cordon toll on cars and trucks","Positive","Small","Higher entrance fees for cars make taxis more attractive, but effect is small."]
[null,null,"Travel time savings because cordon toll has cut traffic","Positive","Medium","Taxi users are time-sensitive; higher speeds from cordon tolls will result in more trips."]
[null,null,"Improved and/or cheaper transit service","Negative","Small","Better transit attracts some trips from taxis, but not a lot."]
[null,null,"More taxi medallions (yellow cabs)","Either","Small","More medallions cut \"hail time\" but also make taxi rides take longer; net impact depends on particulars, but is probably minor."]
[]
[null,"Subway trips","Fare reductions (financed by cordon toll and taxi surcharge)","Positive","Small","Transit use isn't very price-elastic."]
[null,null,"Cordon toll on cars and trucks","Positive","Small","Higher entrance fees for cars make transit more attractive, but effect is small."]
[null,null,"Travel time savings from subway service improvements","Positive","Medium","Transit use is relatively time-sensitive; better service attracts trips."]
[null,null,"More taxi medallions (yellow cabs)","Positive","Small","More medallions add to CBD gridlock, making car travel less attractive vis-à-vis subways."]
[]
[null,"Bus trips","Fare reductions (financed by cordon toll and taxi surcharge)","Positive","Small","Transit use isn't very price-elastic."]
[null,null,"Cordon toll on cars and trucks","Positive","Small","Higher entrance fees for cars make transit more attractive, but effect is small."]
[null,null,"Travel time savings from bus service improvements","Positive","Medium","Transit use is relatively time-sensitive; better service attracts trips."]
[null,null,"More taxi medallions (yellow cabs)","Negative","Small","More medallions add to CBD gridlock, making bus travel less attractive."]
[]
[null,"Timing of car/truck trips to CBD","Higher toll for one time period vis-à-vis prior or next period","Negative","Small","Not many drivers will switch travel time to take advantage of a lower toll."]
[]
[null,"Timing of subway trips to CBD","Higher fare for one time period vis-à-vis prior or next period","Negative","Small","Not many drivers will switch travel time to take advantage of a lower toll."]

{"sheet":"Assumptions","index":11,"n_rows":776,"n_cols":14,"rows_kept":776,"cut":false,"hidden":false,"merged":[[109,9,115,10],[151,1,151,8],[272,6,275,7],[277,1,278,5],[277,6,278,7],[287,1,288,4],[194,3,199,4],[152,5,152,8],[167,1,171,8],[208,2,208,4],[208,5,208,7],[209,2,209,4],[209,5,209,7],[210,2,210,4],[210,5,210,7],[211,2,211,4],[211,5,211,7],[212,2,212,4],[202,1,204,8],[246,3,249,7],[253,3,256,7],[161,1,164,8],[222,1,229,8],[5,1,6,8],[38,1,41,8],[662,1,663,8],[562,1,565,7],[587,1,592,7],[551,3,551,4],[538,3,538,4],[575,1,579,7],[45,1,46,8],[93,1,95,8],[65,1,66,8],[259,1,260,7],[213,2,215,8],[217,1,219,8],[379,1,383,7],[297,6,307,6],[8,1,9,8],[429,1,430,7],[435,1,438,7],[413,1,414,7],[425,1,426,7],[128,4,133,5],[650,7,652,9],[78,2,81,7],[360,3,362,6],[319,6,326,7],[345,1,347,7],[348,1,350,7],[354,1,355,7],[367,5,368,7],[370,6,372,7],[737,1,738,8],[681,1,684,8],[619,5,623,5],[392,1,394,7],[375,1,376,7],[485,8,487,8],[432,1,433,7],[677,1,679,8],[686,1,690,8],[665,1,666,7],[656,1,658,8],[407,1,408,7],[447,1,449,7],[439,5,440,6],[439,7,440,8],[443,1,445,6],[425,8,426,8],[85,1,88,8],[90,1,92,8],[96,1,97,8],[102,1,104,2],[98,1,100,8],[105,1,106,8],[172,1,172,8],[313,2,315,7],[231,1,233,8],[212,5,212,7],[181,1,183,8],[186,1,189,8],[194,5,195,6],[194,7,195,8],[138,4,143,5],[152,1,152,4],[115,3,115,6],[110,3,114,6],[403,1,404,7],[644,4,647,4],[644,5,647,5],[644,6,647,6],[631,7,635,8],[535,9,557,9],[743,8,744,8],[743,9,744,9],[743,3,744,3],[743,6,744,6],[743,5,744,5],[742,5,742,6],[742,8,742,9],[731,1,733,8],[692,1,693,8],[702,1,704,8],[710,5,710,6],[710,7,710,8],[706,1,708,8],[711,6,714,6],[711,7,714,7],[711,8,714,8],[711,5,714,5],[770,1,773,8],[520,4,520,6],[490,1,491,7],[517,1,518,7],[452,1,453,7],[609,1,610,7],[482,1,483,7],[468,1,469,7],[502,1,503,7],[507,1,508,7],[511,3,514,8],[522,1,528,3],[532,1,533,8],[536,5,538,7],[549,5,551,7],[522,7,522,9],[767,1,768,8],[725,1,729,8]]}
[null,"Assumptions",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet collects key assumptions that drive the BTA. It was largely prepared in 2011 and hasn't been fully updated.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"The assumptions here are linked from but not to the assumptions in the various worksheet tabs. Changing figures in this worksheet will not change the values of any calculations in or results from the BTA.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"This list of assumptions follows the sequence of the worksheet tabs. Where worksheets have been skipped, either their key assumptions have been treated elsewhere in this sheet, or they were considered peripheral and were omitted.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,{"$f":"CONCATENATE(\"Rather than scroll through this long (\",MAX(L1:L10087), \" rows) worksheet, click on any link below to be taken directly to that section.\")","v":"Rather than scroll through this long (776 rows) worksheet, click on any link below to be taken directly to that section."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Results & Policy Levers",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Revenues",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Cost-Benefit",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Travel",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Motor Vs & Motor Vs Weekends",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Incidence",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Trucks",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Taxis",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Transit",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Subways",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Subway vs. Bus",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Buses",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Weekday Hours & Weekend Hours",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Weekends",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Speed-Volume, Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Speed-Volume, non-Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"VMT",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Elasticities",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Emissions",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Parking",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Value of Time",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Results • Policy Levers",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Assumptions that are inputted into the Results and Policy Levers worksheet tabs are not shown here. Those \"input assumptions\" pertain to the particular traffic scenarios that we have pre-programmed into the model (which users are free to modify). Rather, the assumptions annotated here are those that take the input assumptions (tolls, transit fares, etc.) and calculate the changes in traffic, revenues and emissions that those inputs will bring about.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Cost-Benefit",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45},null,{"$f":"'Cost-Benefit'!O779","v":0}]
[null,{"$f":"CONCATENATE(\"The Cost-Benefit worksheet, now \",MAX('Cost-Benefit'!O688,'Cost-Benefit'!O1498), \" rows long, derives estimates of important social-cost indicators but is not essential to the architecture of the BTA. It is also exhaustively referenced. Accordingly, only a handful of key assumptions are shown here. \")","v":"The Cost-Benefit worksheet, now 688 rows long, derives estimates of important social-cost indicators but is not essential to the architecture of the BTA. It is also exhaustively referenced. Accordingly, only a handful of key assumptions are shown here. "},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Average value of a vehicle-hour saved in traffic (these values are used to monetize time savings from cordon tolls)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Weekdays, within CBD (derived via matrix of values est'd for autos, taxis, trucks, etc. in Value of Time wksht)",null,null,null,null,null,null,{"$f":"'Value of Time'!M90","v":51.562375658789044},null,null,{"$f":"ROW()","v":50}]
[null,"Factors to adjust weekday time value to weekends, and in-CBD to outside-CBD (Komanoff assumptions)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Weekends vs. Weekdays",null,{"$f":"CONCATENATE(\"Shown in Cost-Ben tab, Row \",'Cost-Benefit'!O126, \".\")","v":"Shown in Cost-Ben tab, Row 126."},null,null,null,null,{"$f":"'Cost-Benefit'!M126","v":0.6},null,null,{"$f":"ROW()","v":52}]
[null,"Out-CBD hour vs. Inside",null,{"$f":"CONCATENATE(\"Shown in Cost-Ben tab, Row \",'Cost-Benefit'!O127, \".\")","v":"Shown in Cost-Ben tab, Row 127."},null,null,null,null,{"$f":"'Cost-Benefit'!M127","v":0.66666666666666663},null,null,{"$f":"ROW()","v":53}]
[null,"Out-CBD hr vs. In, for vans, trucks, rigs",null,null,{"$f":"CONCATENATE(\"From VOTime tab, Row \",'Value of Time'!O104, \".\")","v":"From VOTime tab, Row 104."},null,null,null,{"$f":"'Value of Time'!D104","v":0.9},null,null,{"$f":"ROW()","v":54}]
[null,"Weekends, within CBD",null,{"$f":"CONCATENATE(\"(Product of Rows \",L50, \" and \",L52, \".)\")","v":"(Product of Rows 50 and 52.)"},null,null,null,null,{"$f":"I50*I52","v":30.937425395273426},null,null,{"$f":"ROW()","v":55}]
[null,"Weekdays, approaches to CBD (same method as for Weekdays, above, though with different weighting of vehicles)",null,null,null,null,null,null,{"$f":"'Value of Time'!M126","v":29.388806276713776},null,null,{"$f":"ROW()","v":56}]
[null,"Weekends, approaches to CBD (employs same approaches-to-CBD factor as for weekdays)",null,null,null,null,null,null,{"$f":"I56*I52","v":17.633283766028264},null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Climate value of each metric ton of CO2 emissions averted through cordon toll",null,null,null,null,null,null,50,null,null,{"$f":"ROW()","v":59}]
[null,"Komanoff assumption. Note that U.S. gov't now uses value of $XX in cost-benefit analyses (citation TK).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Military and national-security cost reduction, per gallon of gasoline averted through toll",null,null,null,null,null,null,{"$f":"'Cost-Benefit'!L489/'Cost-Benefit'!L495","v":0.18514851657239023},null,null,{"$f":"ROW()","v":61}]
[null,{"$f":"CONCATENATE(\"Calculations are documented in 'Cost-Benefit' worksheet tab, Rows \",'Cost-Benefit'!O462, \" through \",'Cost-Benefit'!O495, \".\")","v":"Calculations are documented in 'Cost-Benefit' worksheet tab, Rows 462 through 495."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Air quality value of each metric ton PM10 emissions w/i CBD averted through cordon toll ",null,null,null,null,null,null,{"$f":"'Cost-Benefit'!E556*'Cost-Benefit'!H556","v":0},null,null,{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Calculations documented in 'Cost-Benefit' worksheet tab, Rows \",'Cost-Benefit'!O535, \" through \",'Cost-Benefit'!O556, \". Is \",'Cost-Benefit'!H556, \"x value assigned by Calif. Air Resources Board.\")","v":"Calculations documented in 'Cost-Benefit' worksheet tab, Rows 535 through 556. Is x value assigned by Calif. Air Resources Board."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Gain in NYC bicycling's mode share (in % pts) that would be triggered by each 1% drop in traffic on city streeets",null,null,null,null,null,null,{"$f":"Bicycles!L216*(Bicycles!L214-Bicycles!L199)","v":1.8355793021838131E-3},null,null,{"$f":"ROW()","v":65}]
[null,{"$f":"CONCATENATE(\"Calculations documented in 'Bicycles' worksheet tab, Rows \",Bicycles!O197, \"-\",Bicycles!O217, \". Underlying assumption is that eliminating NYC auto traffic on streets would cause cycling's mode share to rise to current urban levels in Germany, Denmark and Netherlands.\")","v":"Calculations documented in 'Bicycles' worksheet tab, Rows 197-217. Underlying assumption is that eliminating NYC auto traffic on streets would cause cycling's mode share to rise to current urban levels in Germany, Denmark and Netherlands."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Value of each life saved from reduced emissions or increased physical activity resulting from cordon toll",null,null,null,null,null,null,{"$f":"ROUND('Cost-Benefit'!I638*'Cost-Benefit'!I644,0)","v":5},"million",null,{"$f":"ROW()","v":68}]
[null,{"$f":"CONCATENATE(\"Derived in 'Cost-Benefit' tab, Rows \",'Cost-Benefit'!O638, \" through \",'Cost-Benefit'!O646, \".\")","v":"Derived in 'Cost-Benefit' tab, Rows 638 through 646."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Travel",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Auto occupancies for trips to CBD",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Work",null,null,null,null,null,null,{"$f":"Travel!G101","v":1.1499999999999999},null,null,{"$f":"ROW()","v":74}]
[null,"Non-work",null,null,null,null,null,null,{"$f":"Travel!G102","v":1.5},null,null,{"$f":"ROW()","v":75}]
[null,"Through trips",null,null,null,null,null,null,{"$f":"Travel!G103","v":1.2945212934424437},null,null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"First two figures are shown in Rows \",Travel!P101, \"-\",Travel!P102, \", but are taken from 'H.I.S.' worksheet, Row \",H.I.S.!Z125, \". Third is weighted avg of those two.\")","v":"First two figures are shown in Rows 101-102, but are taken from 'H.I.S.' worksheet, Row 125. Third is weighted avg of those two."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Vehicle-occupancy elasticities (VOE) (a parameter used to translate increased trip costs into increased carpooling)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Work","VOE was defined in a paper by Graham et al. cited in Travel worksheet. A value of negative 0.10 was used in a related paper co-authored by Graham and also cited there. We use that value for non-work trips but halve it for work trips to reflect greater difficulty of car-pooling for work trips. For through trips we take average of work and non-work trips.",null,null,null,null,null,{"$f":"Travel!G282","v":-0.05},null,null,{"$f":"ROW()","v":79}]
[null,"Non-work",null,null,null,null,null,null,{"$f":"Travel!H282","v":-0.1},null,null,{"$f":"ROW()","v":80}]
[null,"Through trips",null,null,null,null,null,null,{"$f":"Travel!I282","v":-7.5000000000000011E-2},null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Motor Vs • Motor Vs Weekends",null,null,{"$f":"CONCATENATE(\"(This section occupies the next \",L234 - L109+1, \" rows.)\")","v":"(This section occupies the next 126 rows.)"},null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"There may be no more vital input parameter to the BTA than the number of car (and truck) trips into the Manhattan Central Business District (CBD) on weekdays. It is this figure (along with the toll charge itself) that will largely determine toll revenues from cordon pricing. (Note that the BTA counts medallion taxi crossings into the CBD separate from autos, since taxi entries may be subject to a different pricing form than the \"straight\" cordon charge.)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,{"$f":"CONCATENATE(\"In recent decades, a mantra that '800,000-850,000 cars enter the Manhattan CBD on weekdays' has entered the vocabulary of New Yorkers. The figure of \",INT(H117/1000), \",\",H117-1000*INT(H117/1000), \" appearing in Cell H\",L117, \" falls short of that iconic number by several hundred thousand. Here are three reasons why:\")","v":"In recent decades, a mantra that '800,000-850,000 cars enter the Manhattan CBD on weekdays' has entered the vocabulary of New Yorkers. The figure of 580,500 appearing in Cell H117 falls short of that iconic number by several hundred thousand. Here are three reasons why:"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"1. Many cordon-crossing trips -- an estimated \",INT('Motor Vs'!I67/1000), \",\",ROUND('Motor Vs'!I67,0)-1000*INT('Motor Vs'!I67/1000), \" on weekdays -- are the return legs of through-trips. While those trips are toll-eligible, the BTA treats them differently from ordinary cordon-crossing trips, due to different cost characteristics. Thus, the figure in Cell H\",L117, \" isn't directly comparable to the nominal 800-850 thousand vehicles entering the CBD.\")","v":"1. Many cordon-crossing trips -- an estimated 80,400 on weekdays -- are the return legs of through-trips. While those trips are toll-eligible, the BTA treats them differently from ordinary cordon-crossing trips, due to different cost characteristics. Thus, the figure in Cell H117 isn't directly comparable to the nominal 800-850 thousand vehicles entering the CBD."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"2. An estimated \",INT(H113/1000), \",000 trips are by medallion taxicabs. These too are treated separately from 'ordinary' vehicle crossings into the CBD.\")","v":"2. An estimated 32,000 trips are by medallion taxicabs. These too are treated separately from 'ordinary' vehicle crossings into the CBD."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,{"$f":"CONCATENATE(\"3. Vehicle entries to the Manhattan CBD have fallen in recent years. The BTA is baselined to 2015 traffic data; vehicle volumes in 2011 appear to have been roughly \",ROUND(2.5*INT(4*(E105-H105)/10000),0), \",000 less than in 2006, based on an analogous dataset of crossings into Manhattan maintained by NYCDOT shown in the box below.\")","v":"3. Vehicle entries to the Manhattan CBD have fallen in recent years. The BTA is baselined to 2015 traffic data; vehicle volumes in 2011 appear to have been roughly 55,000 less than in 2006, based on an analogous dataset of crossings into Manhattan maintained by NYCDOT shown in the box below."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,2006,2009,2012,2015,"2015 vs. 2006",null,null,{"$f":"ROW()","v":102}]
[null,"NYCDOT, \"Manhattan River Crossings,\" 24-h volumes ",null,"Inbound",955662,923683,908994,{"$f":"'Weekday Hours'!C59","v":903987},null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,"Outbound",951456,904382,897655,{"$f":"'Weekday Hours'!K59","v":891803},null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,"Avg, rounded",{"$f":"ROUND(AVERAGE(E103:E104),-2)","v":953600},{"$f":"ROUND(AVERAGE(F103:F104),-2)","v":914000},{"$f":"ROUND(AVERAGE(G103:G104),-2)","v":903300},{"$f":"ROUND(AVERAGE(H103:H104),-2)","v":897900},{"$f":"H105/E105-1","v":-5.8410234899328839E-2},null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Taken together, the factors in Rows \",L94, \"-\",L101, \" explain the lion's share of the discrepancy between the popular figure of 800,000-850,000 cars entering the Manhattan CBD on weekdays, and the BTA figure of \",INT(H117/1000), \",\",H117-1000*INT(H117/1000), \" appearing in Cell H\",L117, \".\")","v":"Taken together, the factors in Rows 94-101 explain the lion's share of the discrepancy between the popular figure of 800,000-850,000 cars entering the Manhattan CBD on weekdays, and the BTA figure of 580,500 appearing in Cell H117."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Daily vehicle trips into the Manhattan CBD (baseline, 2015)",null,null,null,null,null,"Weekdays","Weekends",null,null,{"$f":"ROW()","v":109}]
[null,"Auto trips for work that don't go through cordon",null,null,null,null,null,{"$f":"ROUND('Motor Vs'!I85,-2)","v":225700},{"$f":"ROUND('Motor Vs Weekends'!I85,-2)","v":79800},{"$f":"CONCATENATE(\"Note: These figures treat 'through-round-trips' -- trips that cross the CBD in connecting a non-CBD origin and destination, and then do the same on the return journey -- as one CBD trip, even though they will pay two tolls. See 'Motor Vehicles' tab, Rows \",'Motor Vs'!O35, \"-\",'Motor Vs'!O85, \".\")","v":"Note: These figures treat 'through-round-trips' -- trips that cross the CBD in connecting a non-CBD origin and destination, and then do the same on the return journey -- as one CBD trip, even though they will pay two tolls. See 'Motor Vehicles' tab, Rows 35-85."},null,{"$f":"ROW()","v":110}]
[null,"Same as above, not for work",null,"Figures reflect 2015 travel levels and are drawn primarily from NYMTC's \"Hub-Bound Travel Report, 2015,\" with key data recorded in Hub-Bound worksheet. Some data are from H.I.S. and Taxi worksheets, and all were checked against Bruce Schaller's 2006 report for Transportation Alternatives, \"Necessity or Choice? Why People Drive in Manhattan.\" ",null,null,null,{"$f":"ROUND('Motor Vs'!J85,-2)","v":158700},{"$f":"ROUND('Motor Vs Weekends'!J85,-2)","v":239300},null,null,{"$f":"ROW()","v":111}]
[null,"Thru trips by all vehicles",null,null,null,null,null,{"$f":"ROUND('Motor Vs'!K85,-2)","v":100500},{"$f":"ROUND('Motor Vs Weekends'!K85,-2)","v":102000},null,null,{"$f":"ROW()","v":112}]
[null,"Taxicabs",null,null,null,null,null,{"$f":"ROUND('Motor Vs'!L85,-2)","v":32900},{"$f":"ROUND('Motor Vs Weekends'!L85,-2)","v":30300},null,null,{"$f":"ROW()","v":113}]
[null,"Trucks",null,null,null,null,null,{"$f":"ROUND('Motor Vs'!M85,-2)","v":40700},{"$f":"ROUND('Motor Vs Weekends'!M85,-2)","v":16200},null,null,{"$f":"ROW()","v":114}]
[null,"Buses",null,null,null,null,null,{"$f":"ROUND('Motor Vs'!N85,-2)","v":54900},{"$f":"ROUND('Motor Vs Weekends'!N85,-1)","v":53800},null,null,{"$f":"ROW()","v":115}]
[null,"Total",null,{"$f":"CONCATENATE(\"Figures here are rounded from figures in both worksheets' Row \",'Motor Vs'!O85, \".\")","v":"Figures here are rounded from figures in both worksheets' Row 85."},null,null,null,{"$f":"ROUND('Motor Vs'!H85,-2)","v":613400},{"$f":"ROUND('Motor Vs Weekends'!H85,-2)","v":521400},null,null,{"$f":"ROW()","v":116}]
[null,"Total, less Taxicabs",null,null,null,null,null,{"$f":"H116-H113","v":580500},{"$f":"I116-I113","v":491100},null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Percent of (non-taxi) auto trips to CBD on weekdays that are work trips:",null,null,null,null,null,null,{"$f":"'Motor Vs'!I53","v":0.58708201873587496},null,null,{"$f":"ROW()","v":119}]
[null,{"$f":"CONCATENATE(\"Taken from 'Motor Vs' worksheet, Row \",'Motor Vs'!O53, \", but derived in H.I.S. worksheet, Row \",H.I.S.!Z128, \".\")","v":"Taken from 'Motor Vs' worksheet, Row 53, but derived in H.I.S. worksheet, Row 128."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Percent of (non-taxi) auto trips to CBD on weekends that are work trips:",null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!I53","v":0.25},null,null,{"$f":"ROW()","v":121}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption entered in Row \",'Motor Vs Weekends'!O53, \" of 'Motor Vs Weekends' tab.\")","v":"Komanoff assumption entered in Row 53 of 'Motor Vs Weekends' tab."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Percent of car or truck thru-trips that return thru cordon (as opposed to bypassing CBD on return leg):",null,null,null,null,null,null,{"$f":"'Motor Vs'!I57","v":0.8},null,null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption entered in Row \",'Motor Vs'!O57, \", intended to capture 'toll-shopping' as well as presumed greater flexibility and range of through-trips.\")","v":"Komanoff assumption entered in Row 57, intended to capture 'toll-shopping' as well as presumed greater flexibility and range of through-trips."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Ratio of trip mileage, CBD-through-trips to trips whose destination is CBD",null,null,null,null,null,null,{"$f":"'Motor Vs'!K95","v":1.5},null,null,{"$f":"ROW()","v":125}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption entered in Row \",'Motor Vs'!O95, \". See other columns, same row, for factors for trucks and buses.\")","v":"Komanoff assumption entered in Row 95. See other columns, same row, for factors for trucks and buses."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"One-Way Trip Distances for trips into cordon (miles)",null,null,null,null,"Total Distance","Non-CBD Part","CBD Portion",null,null,{"$f":"ROW()","v":128}]
[null,"Auto trips for work that don't go thru cordon",null,null,{"$f":"CONCATENATE(\"See 'Motor Vs' sheet, Rows \",'Motor Vs'!O93, \"-\", 'Motor Vs'!O101, \". Non-CBD Portions are derived in 'Distances' worksheet, by weighting auto-commuters to CBD (est'd in 2006 by B. Schaller) and driving distances from nearly 100 geographic entities.\")","v":"See 'Motor Vs' sheet, Rows 93-101. Non-CBD Portions are derived in 'Distances' worksheet, by weighting auto-commuters to CBD (est'd in 2006 by B. Schaller) and driving distances from nearly 100 geographic entities."},null,{"$f":"'Motor Vs'!I101","v":18.10690937641937},{"$f":"'Motor Vs'!I93","v":16.85690937641937},{"$f":"'Motor Vs'!I99","v":1.25},null,null,{"$f":"ROW()","v":129}]
[null,"Same as above, not for work",null,null,null,null,{"$f":"'Motor Vs'!J101","v":18.10690937641937},{"$f":"'Motor Vs'!J93","v":16.85690937641937},{"$f":"'Motor Vs'!J99","v":1.25},null,null,{"$f":"ROW()","v":130}]
[null,"Thru trips by all vehicles",null,null,null,null,{"$f":"'Motor Vs'!K101","v":26.885364064629059},{"$f":"'Motor Vs'!K93","v":25.285364064629057},{"$f":"'Motor Vs'!K99","v":1.6},null,null,{"$f":"ROW()","v":131}]
[null,"Taxicabs",null,null,null,null,{"$f":"'Motor Vs'!L101","v":7.5},{"$f":"'Motor Vs'!L93","v":6},{"$f":"'Motor Vs'!L99","v":1.5},null,null,{"$f":"ROW()","v":132}]
[null,"Trucks",null,null,null,null,{"$f":"'Motor Vs'!M101","v":18.548220939020325},{"$f":"'Motor Vs'!M93","v":15.548220939020323},{"$f":"'Motor Vs'!M99","v":3},null,null,{"$f":"ROW()","v":133}]
[null,"Buses",null,null,null,null,{"$f":"'Motor Vs'!N101","v":7.5},{"$f":"'Motor Vs'!N93","v":6},{"$f":"'Motor Vs'!N99","v":1.5},null,null,{"$f":"ROW()","v":134}]
[null,{"$f":"CONCATENATE(\"CBD Portions for weekends are slightly higher than for wkdays for auto work + non-work trips. See factors in 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O97, \".\")","v":"CBD Portions for weekends are slightly higher than for wkdays for auto work + non-work trips. See factors in 'Motor Vs Weekends' tab, Row 97."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Per-hour motor vehicle entries to Manhattan CBD (baseline = 2010)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,"Weekdays",null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,"Graveyard, 11 pm - 5 am",{"$f":"'Motor Vs'!G142","v":9664.6916712881557},{"$f":"CONCATENATE(\"Figures here are derived through elaborate algorithms in 'Weekday Hours' and 'Weekend Hours' worksheets, with final calculations appearing in Row \",'Motor Vs'!O142, \" of 'Motor Vs'. Sums, multiplied by hours, equal totals in Row \",L116, \".\")","v":"Figures here are derived through elaborate algorithms in 'Weekday Hours' and 'Weekend Hours' worksheets, with final calculations appearing in Row 142 of 'Motor Vs'. Sums, multiplied by hours, equal totals in Row 116."},null,null,null,"Weekends",null,null,{"$f":"ROW()","v":139}]
[null,null,"Morning pre-peak, 5 am - 6 am",{"$f":"'Motor Vs'!H142","v":22558.102555129055},null,null,null,"Graveyard, Midnight - 10 am",{"$f":"'Motor Vs Weekends'!G142","v":12748.990266965076},null,null,{"$f":"ROW()","v":140}]
[null,null,"Morning peak, 6 am - 9 am",{"$f":"'Motor Vs'!I142","v":38807.193324891472},null,null,null,"Early Shoulder, 10 am - Noon",{"$f":"'Motor Vs Weekends'!H142","v":23592.282669092034},null,null,{"$f":"ROW()","v":141}]
[null,null,"Morning post-peak, 9 am - 10 am",{"$f":"'Motor Vs'!J142","v":35208.90707473355},null,null,null,"Shoulder 1, Noon - 5 pm",{"$f":"'Motor Vs Weekends'!I142","v":29726.035393940623},null,null,{"$f":"ROW()","v":142}]
[null,null,"Midday peak, 10 am - 2 pm",{"$f":"'Motor Vs'!K142","v":29231.189737682038},null,null,null,"Peak, 5 pm - 8 pm",{"$f":"'Motor Vs Weekends'!J142","v":31629.529094745016},null,null,{"$f":"ROW()","v":143}]
[null,null,"P.M. peak, 2 pm - 8 pm",{"$f":"'Motor Vs'!L142","v":32023.100132716088},null,null,null,"Shoulder 2, 8 pm - 10 pm",{"$f":"'Motor Vs Weekends'!K142","v":28816.273965389955},null,null,{"$f":"ROW()","v":144}]
[null,null,"P.M. post-peak, 8 pm - 11 pm",{"$f":"'Motor Vs'!M142","v":24053.300206903103},null,null,null,"Late Shoulder 2, 10 pm - Midnight",{"$f":"'Motor Vs Weekends'!L142","v":22787.10990372354},null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Traffic-weighted avg speed for motor vehicles within Manhattan CBD, 6 am - 6 pm weekdays, mph",null,null,null,null,null,null,{"$f":"'Motor Vs'!K204","v":7.099691544567313},null,null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Equals figure in 'Motor Vs' tab, Row \",'Motor Vs'!O204, \". See discussion in that worksheet, Rows \",'Motor Vs'!O194, \" through \",'Motor Vs'!O207, \", which draws on 2009-10 NYCDOT data.\")","v":"Equals figure in 'Motor Vs' tab, Row 204. See discussion in that worksheet, Rows 194 through 207, which draws on 2009-10 NYCDOT data."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Traffic-wghtd avg speed for motor veh's on approaches to Manhattan CBD, 6 am - 6 pm wkdays, mph",null,null,null,null,null,null,{"$f":"'Motor Vs'!K220","v":18.220079748547541},null,null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Equals figure in 'Motor Vs' tab, Row \",'Motor Vs'!O220, \". See discussion in that worksheet, Rows \",'Motor Vs'!O212, \" through \",'Motor Vs'!O222, \", which draws on data in 2007 PlaNYC report.\")","v":"Equals figure in 'Motor Vs' tab, Row 220. See discussion in that worksheet, Rows 212 through 222, which draws on data in 2007 PlaNYC report."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Average motor-vehicle speeds (baseline, 2009-10 for CBD, 2007 for Approaches)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Weekdays",null,null,null,"Weekends",null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,"CBD","Approaches",null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,"Graveyard, 11 pm - 5 am",{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!G217","v":55},null,null,"CBD","Approaches",null,null,{"$f":"ROW()","v":155}]
[null,null,"Morning pre-peak, 5 am - 6 am",{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!H217","v":40.161836222382789},null,"Graveyard, Midnight - 10 am",{"$f":"'Motor Vs Weekends'!G201","v":17.550723377686065},{"$f":"'Motor Vs Weekends'!G217","v":54.836561641326661},null,null,{"$f":"ROW()","v":156}]
[null,null,"Morning peak, 6 am - 9 am",{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!I217","v":17.40263133338409},null,"Early Shoulder, 10 am - Noon",{"$f":"'Motor Vs Weekends'!H201","v":11.198272905224371},{"$f":"'Motor Vs Weekends'!H217","v":29.629787124806917},null,null,{"$f":"ROW()","v":157}]
[null,null,"Morning post-peak, 9 am - 10 am",{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!J217","v":20.220483554516662},null,"Shoulder 1, Noon - 5 pm",{"$f":"'Motor Vs Weekends'!I201","v":7.9371338148422508},{"$f":"'Motor Vs Weekends'!I217","v":22.325533933610298},null,null,{"$f":"ROW()","v":158}]
[null,null,"Midday peak, 10 am - 2 pm",{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!K217","v":23.17704134460168},null,"Peak, 5 pm - 8 pm",{"$f":"'Motor Vs Weekends'!J201","v":6.7424914750360951},{"$f":"'Motor Vs Weekends'!J217","v":20.404881275475944},null,null,{"$f":"ROW()","v":159}]
[null,null,"P.M. peak, 2 pm - 8 pm",{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!L217","v":15.562241535911015},null,"Shoulder 2, 8 pm - 10 pm",{"$f":"'Motor Vs Weekends'!K201","v":8.6056137538537421},{"$f":"'Motor Vs Weekends'!K217","v":25.936153343226206},null,null,{"$f":"ROW()","v":160}]
[null,null,"P.M. post-peak, 8 pm - 11 pm",{"$f":"'Motor Vs'!M201","v":8.5401278841819632},{"$f":"'Motor Vs'!M217","v":26.537132706577559},null,"Late Shoulder 2, 10 pm - Midnight",{"$f":"'Motor Vs Weekends'!L201","v":10.764758517009115},{"$f":"'Motor Vs Weekends'!L217","v":32.987814551544879},null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Weekday speeds in Rows \",L155, \" through \",L161, \" are calculated in 'Motor Vs' and 'Motor Vs Weekends' tabs so that (i) traffic-weighted average speeds equal averages in Rows \",L147, \" and \",L149, \", and (ii) each period’s speed and traffic volume satisfy equations developed in 'Speed-Vol., Cordon and 'Speed-Vol., non-Cordon' tabs. Same applies to calculations of weekend speeds. Averages are harmonic, due to speed's inverse relationship to time.\")","v":"Weekday speeds in Rows 155 through 161 are calculated in 'Motor Vs' and 'Motor Vs Weekends' tabs so that (i) traffic-weighted average speeds equal averages in Rows 147 and 149, and (ii) each period’s speed and traffic volume satisfy equations developed in 'Speed-Vol., Cordon and 'Speed-Vol., non-Cordon' tabs. Same applies to calculations of weekend speeds. Averages are harmonic, due to speed's inverse relationship to time."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Baseline costs for CBD-bound trips (round-trips, 2010-12)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Note: These costs, comprising fuel (gasoline) and parking, are the baseline relative to which proposed tolls will raise the total price of a CBD trip. The resulting percentage increases in the trip price will be \"operated on\" by the assumed price-elasticities to yield contractions (decreases) in the number of trips. The BTA specifies a set of 42 such costs -- one for each of 6 trip types in each of 7 trip periods -- for weekdays, and another 36 (6 x 6) for weekends. Below, we show the component costs for one trip type, work trips, for each of the 7 weekday periods.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Baseline Costs, Work Trips Only (weekdays)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,{"$f":"'Motor Vs'!P243","v":"Graveyard"},{"$f":"'Motor Vs'!Q243","v":"A.M. Pre-peak"},{"$f":"'Motor Vs'!R243","v":"A.M. Peak"},{"$f":"'Motor Vs'!S243","v":"A.M. Post-peak"},{"$f":"'Motor Vs'!T243","v":"Midday Peak"},{"$f":"'Motor Vs'!U243","v":"P.M. Peak"},{"$f":"'Motor Vs'!V243","v":"P.M. Post-peak"},null,null,{"$f":"ROW()","v":174}]
[null,null,{"$f":"'Motor Vs'!P244","v":"11 p.m. - 5 a.m."},{"$f":"'Motor Vs'!Q244","v":"5 a.m. - 6 a.m."},{"$f":"'Motor Vs'!R244","v":"6 a.m. - 9 a.m."},{"$f":"'Motor Vs'!S244","v":"9 a.m. - 10 a.m."},{"$f":"'Motor Vs'!T244","v":"10 a.m. - 2 p.m."},{"$f":"'Motor Vs'!U244","v":"2 p.m. - 8 p.m. "},{"$f":"'Motor Vs'!V244","v":"8 p.m. - 11 p.m."},null,null,{"$f":"ROW()","v":175}]
[null,"Fuel",{"$f":"'Motor Vs'!P271","v":4.9641117425056294},{"$f":"'Motor Vs'!Q271","v":4.9872983901715369},{"$f":"'Motor Vs'!R271","v":7.7245438104340325},{"$f":"'Motor Vs'!S271","v":7.1382497690698878},{"$f":"'Motor Vs'!T271","v":6.5601726871390369},{"$f":"'Motor Vs'!U271","v":8.2523101649778763},{"$f":"'Motor Vs'!V271","v":6.155284935269739},null,null,{"$f":"ROW()","v":176}]
[null,"Parking",{"$f":"'Motor Vs'!P272","v":1.3574999999999999},{"$f":"'Motor Vs'!Q272","v":3.7975000000000003},{"$f":"'Motor Vs'!R272","v":19.349999999999998},{"$f":"'Motor Vs'!S272","v":19.36},{"$f":"'Motor Vs'!T272","v":19.32},{"$f":"'Motor Vs'!U272","v":10.967499999999999},{"$f":"'Motor Vs'!V272","v":5.8224999999999998},null,null,{"$f":"ROW()","v":177}]
[null,"Existing Tolls",{"$f":"'Motor Vs'!P273","v":2.7802267138974872},{"$f":"'Motor Vs'!Q273","v":2.7802267138974872},{"$f":"'Motor Vs'!R273","v":3.0307377076642803},{"$f":"'Motor Vs'!S273","v":2.7802267138974872},{"$f":"'Motor Vs'!T273","v":2.7802267138974872},{"$f":"'Motor Vs'!U273","v":2.9054822107808835},{"$f":"'Motor Vs'!V273","v":2.7802267138974872},null,null,{"$f":"ROW()","v":178}]
[null,"Other*",{"$f":"'Motor Vs'!P274","v":1.4485527501135496},{"$f":"'Motor Vs'!Q274","v":2.8971055002270991},{"$f":"'Motor Vs'!R274","v":2.8971055002270991},{"$f":"'Motor Vs'!S274","v":2.8971055002270991},{"$f":"'Motor Vs'!T274","v":2.8971055002270991},{"$f":"'Motor Vs'!U274","v":2.8971055002270991},{"$f":"'Motor Vs'!V274","v":2.8971055002270991},null,null,{"$f":"ROW()","v":179}]
[null,"Total",{"$f":"'Motor Vs'!P270","v":10.550391206516666},{"$f":"'Motor Vs'!Q270","v":14.462130604296124},{"$f":"'Motor Vs'!R270","v":33.002387018325408},{"$f":"'Motor Vs'!S270","v":32.175581983194476},{"$f":"'Motor Vs'!T270","v":31.557504901263624},{"$f":"'Motor Vs'!U270","v":25.02239787598586},{"$f":"'Motor Vs'!V270","v":17.655117149394325},null,null,{"$f":"ROW()","v":180}]
[null,"*Perceived cost of possible traffic or parking tickets, incremental maintenance, crash costs, etc.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Each figure in matrix is product of calculations on subsidiary assumptions which may be traced via Rows \",'Motor Vs'!O236, \" through \",'Motor Vs'!O274, \" of 'Motor Vs' tab. Fuel costs vary by time of day due to differences in travel speeds which affect fuel economy. Slight variation in existing tolls reflects PANYNJ time-of-day tolls. Most critical item, parking, has its own eponymous worksheet tab.\")","v":"Each figure in matrix is product of calculations on subsidiary assumptions which may be traced via Rows 236 through 274 of 'Motor Vs' tab. Fuel costs vary by time of day due to differences in travel speeds which affect fuel economy. Slight variation in existing tolls reflects PANYNJ time-of-day tolls. Most critical item, parking, has its own eponymous worksheet tab."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Means-Tested Tolling's Impact (Reduxn) on Avg Cordon Toll (if applicable)",null,null,null,null,null,null,{"$f":"'Motor Vs'!B312","v":0},null,null,{"$f":"ROW()","v":186}]
[null,"This figure reflects two assumptions: (i) that 12% of CBD-bound auto trips will qualify for means-tested discount from cordon toll, and (ii) that the discount will be set at 50%. First assumption reflects detailed geographic analysis by urban planner Josef Szende under supervision of C. Komanoff, predicated on discount being extended only to households with income no greater than $45,000 a year and located more than 1/4 mile from rail or express bus stop to CBD. Second assumption is by Komanoff.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Share of cordon-crossing trips assumed to be exempt from cordon toll",null,null,null,null,null,null,{"$f":"'Motor Vs'!J371","v":0.04},null,null,{"$f":"ROW()","v":192}]
[null,"Komanoff assumption, intended to reflect disability, emergency personnel, and similar categories that might be exempted in enabling legislation.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"Driving Elasticities",null,{"$f":"CONCATENATE(\"For discussion and derivation, see Elasticities' worksheet, esp'ly Rows \",Elasticities!O62, \"-\",Elasticities!O102, \" & \",Elasticities!O142, \"-\",Elasticities!O174, \". For cross-elasticities, see Rows \",Elasticities!O103, \"-\",Elasticities!O138, \". Weekend thru-trip elasticities differ from values here, due to different weights betw work and non-work trips.\")","v":"For discussion and derivation, see Elasticities' worksheet, esp'ly Rows 62-102 & 142-174. For cross-elasticities, see Rows 103-138. Weekend thru-trip elasticities differ from values here, due to different weights betw work and non-work trips."},null,"Price (i.e., w/r/t % increase\nin trip's total cost)",null,"Time (i.e., w/r/t % increase\nin trip's total duration)",null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Auto trips for work",null,null,null,null,{"$f":"Elasticities!G66","v":-0.4},null,{"$f":"Elasticities!G67","v":-1},null,null,{"$f":"ROW()","v":197}]
[null,"Auto trips for non-work",null,null,null,null,{"$f":"Elasticities!H66","v":-0.6},null,{"$f":"Elasticities!H67","v":-1},null,null,{"$f":"ROW()","v":198}]
[null,"Thru trips (one figure fits all)",null,null,null,null,{"$f":"Elasticities!I66","v":-0.48258359625282499},null,{"$f":"Elasticities!I67","v":-1},null,null,{"$f":"ROW()","v":199}]
[null,"Taxi trips (medallion cabs only)",null,null,null,null,{"$f":"Elasticities!G68","v":-0.3},null,{"$f":"Elasticities!G69","v":-0.6},null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"An Important Note on Elasticities",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"The BTA applies above price-elasticities to total baseline prices for round-trips into CBD shown in Row \",L180, \". A comparison of figures in Rows \",L178, \" and \",L180, \" demonstrates that total baseline price is many times as great as baseline toll alone. Hence, price-elasticities from sources that are calibrated to tolls alone must be adjusted (upward) many-fold for comparability.\")","v":"The BTA applies above price-elasticities to total baseline prices for round-trips into CBD shown in Row 180. A comparison of figures in Rows 178 and 180 demonstrates that total baseline price is many times as great as baseline toll alone. Hence, price-elasticities from sources that are calibrated to tolls alone must be adjusted (upward) many-fold for comparability."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Time-Switching Elasticities",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,"From period","To period","Elasticity","To period","To period","Elasticity","Elasticity",null,null,{"$f":"ROW()","v":209}]
[null,null,"Morning Peak (6-9 a.m.)",null,null,"Morning Before Peak",null,null,-0.6,null,null,{"$f":"ROW()","v":210}]
[null,null,"Morning Peak (6-9 a.m.)",null,null,"Morning After Peak",null,null,-0.13,null,null,{"$f":"ROW()","v":211}]
[null,null,"Evening Peak (4-7 p.m.)",null,null,"Evening Before Peak",null,null,-0.22,null,null,{"$f":"ROW()","v":212}]
[null,null,"Evening Peak (4-7 p.m.)",null,null,"Evening After Peak",null,null,-0.09,null,null,{"$f":"ROW()","v":213}]
[null,null,"Source: “Congestion Pricing as a Traffic Management Tool: Evaluating The Impacts At New York City’s Interstate Crossings,” by Carolyn Wolff and Pierre Vilain of Louis Berger Associates, commissioned by the Port Authority. The study analyzed drivers’ responses to the differential tolling regime that the PA instituted on its six Hudson River vehicular crossings in 2001. ",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"The elasticities in the above table are not conventional elasticities that operate on price changes to yield demand changes. Rather, each elasticity operates on the ratio of the toll in the period being switched “from,” to the toll in the period switched “into.” See Time Switching worksheet for details on how these elasticities are operationalized in the BTA.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Ratio, non-cordon VMT of all non-cordon-bound trips', to non-cordon VMT of all cordon-bound trips:",null,null,null,null,null,null,{"$f":"'Motor Vs'!L180","v":1.9327473645052207},null,null,{"$f":"ROW()","v":222}]
[null,"Full name for this parameter is Ratio, non-cordon-bound trips' non-cordon VMT, to cordon-bound trips' non-cordon VMT (on approaches to CBD). It denotes our best estimate of extent to which vehicles that are not bound for Manhattan CBD are co-occupying roads to (and from) CBD with vehicles that are actually headed into CBD. This parameter is used in calculating extent to which cordon tolls will reduce traffic and, hence, improve travel speeds on highways and other major arteries that feed bridges, tunnels and local streets that actually cross into CBD. The figure shown corresponds to our estimate that only around a third of vehicles on the approaches are actually en route to or from CBD -- a figure derived in the Approaches worksheet tab. Specifying \"dilution\" of CBD-bound traffic with other traffic is necessary to avoid vastly overstating extent to which cordon tolls will improve travel speeds outside CBD.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,"Same ratio as above, for medallion taxis only",null,null,null,null,null,null,{"$f":"'Motor Vs'!L181","v":0.1},null,null,{"$f":"ROW()","v":231}]
[null,{"$f":"CONCATENATE(\"The proportion of medallion taxis' non-cordon VMT that takes place in trips that never enter the CBD is far lower than that for cars, trucks and buses. This figure, and the analogous one for other vehicles, shown above at Row \",L222, \", are presented in the 'Motor Vs' worksheet., Rows \",'Motor Vs'!O178, \" to \",'Motor Vs'!O181, \".\")","v":"The proportion of medallion taxis' non-cordon VMT that takes place in trips that never enter the CBD is far lower than that for cars, trucks and buses. This figure, and the analogous one for other vehicles, shown above at Row 222, are presented in the 'Motor Vs' worksheet., Rows 178 to 181."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"Approaches",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Parameters determining share of traffic on approaches to CBD attributable to vehicles entering (or leaving) CBD",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"% of vehicles on non-portal (and non-CBD) segment of CBD trips that are entering (or leaving) CBD",null,null,null,null,null,null,{"$f":"Approaches!F20","v":0.30063293967686783},null,null,{"$f":"ROW()","v":239}]
[null,{"$f":"CONCATENATE(\"Appears in Cell F\",Approaches!O20, \" and is derived in complex set of calculations in Rows \",Approaches!O56, \"-\",Approaches!O83, \".\")","v":"Appears in Cell F20 and is derived in complex set of calculations in Rows 56-83."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"% of vehicles on portal segment of CBD trips that are entering (or leaving) CBD (automatic assumption)",null,null,null,null,null,null,{"$f":"Approaches!F21","v":1},null,null,{"$f":"ROW()","v":241}]
[null,"Portals' share of non-CBD trip distance for CBD-bound (or leaving) trips",null,null,null,null,null,null,{"$f":"Approaches!G98","v":5.7686825479484172E-2},null,null,{"$f":"ROW()","v":242}]
[null,{"$f":"CONCATENATE(\"Appears in Cell G\",Approaches!O98, \" and is derived in complex set of calculations in Rows \",Approaches!O86, \"-\",Approaches!O98, \".\")","v":"Appears in Cell G98 and is derived in complex set of calculations in Rows 86-98."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Adjustment factors to apportion taxi entries to CBD among the four primary portals",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"Each factor is intended to convert the portal's share of CBD vehicle entries to its share of CBD medallion taxi entries",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"NJ (tunnels)",null,{"$f":"CONCATENATE(\"First three factors are Komanoff assumptions, and appear in Row \",Approaches!O182, \". Last factor, for 60th Street, also appears in Row \",Approaches!O182, \" and is calculated algebraically to ensure that all taxi entries have been distributed to one portal.\")","v":"First three factors are Komanoff assumptions, and appear in Row 182. Last factor, for 60th Street, also appears in Row 182 and is calculated algebraically to ensure that all taxi entries have been distributed to one portal."},null,null,null,null,{"$f":"Approaches!J182","v":2.5000000000000001E-2},null,null,{"$f":"ROW()","v":247}]
[null,"East River bridges",null,null,null,null,null,null,{"$f":"Approaches!K182","v":0.4},null,null,{"$f":"ROW()","v":248}]
[null,"East River tunnels",null,null,null,null,null,null,{"$f":"Approaches!L182","v":0.25},null,null,{"$f":"ROW()","v":249}]
[null,"60th Street",null,null,null,null,null,null,{"$f":"Approaches!I182","v":1.904734666263366},null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Adjustment factors to apportion through-trips among the four primary portals",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Each factor is intended to convert the portal's share of CBD vehicle entries to its share of CBD through-trips",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"NJ (tunnels)",null,{"$f":"CONCATENATE(\"First three factors are Komanoff assumptions, and appear in Row \",Approaches!O194, \". Last factor, for 60th Street, also appears in Row \",Approaches!O194, \" and is calculated algebraically to ensure that all through-trips have been distributed to one portal.\")","v":"First three factors are Komanoff assumptions, and appear in Row 194. Last factor, for 60th Street, also appears in Row 194 and is calculated algebraically to ensure that all through-trips have been distributed to one portal."},null,null,null,null,{"$f":"Approaches!J194","v":1.03},null,null,{"$f":"ROW()","v":254}]
[null,"East River bridges",null,null,null,null,null,null,{"$f":"Approaches!K194","v":1.03},null,null,{"$f":"ROW()","v":255}]
[null,"East River tunnels",null,null,null,null,null,null,{"$f":"Approaches!L194","v":1.03},null,null,{"$f":"ROW()","v":256}]
[null,"60th Street",null,null,null,null,null,null,{"$f":"Approaches!I194","v":0.95047165964641289},null,null,{"$f":"ROW()","v":257}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Propensity of East River bridge entries to \"re-assign\" to East River tunnels",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Share of weekday East River bridge entries \"surviving\" new toll that choose to re-route to QMT or BBT, per each $1.00 difference in toll increment for now-free bridges vs. already-tolled tunnels",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,{"$f":"Approaches!G212","v":0.01},null,null,{"$f":"ROW()","v":261}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, to reflect re-assignment of trips that now toll-shop away from 'natural route. Is entered in Cell G\",Approaches!O212, \".\")","v":"Komanoff assumption, to reflect re-assignment of trips that now toll-shop away from 'natural route. Is entered in Cell G212."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Multiple to above propensity, for weekend trips vis-à-vis weekday",null,null,null,null,null,null,{"$f":"Approaches!R211","v":1.5},null,null,{"$f":"ROW()","v":263}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, to reflect greater price-sensitivity for weekend trips vs. weekday. Is entered in Cell R\",Approaches!O211, \".\")","v":"Komanoff assumption, to reflect greater price-sensitivity for weekend trips vs. weekday. Is entered in Cell R211."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Incidence (this worksheet estimates each borough/county's (i) share of toll burden, (ii) # of HH's that drive to CBD at least once per month)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Assumed car occupancy of carpools into CBD (Komanoff assumption)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,{"$f":"CONCATENATE(\"From 'Incidence' tab, Row \",Incidence!AA78, \". Reflects assumption that every third carpool has two passengers rather than one.\")","v":"From 'Incidence' tab, Row 78. Reflects assumption that every third carpool has two passengers rather than one."},null,null,null,null,null,null,{"$f":"Incidence!F78","v":2.3330000000000002},null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"% of weekdays that \"regular\" commuters living in NYC drive into CBD",null,null,null,null,{"$f":"CONCATENATE(\"(From 'Incidence' tab, Row \",Incidence!AA97, \".)\")","v":"(From 'Incidence' tab, Row 97.)"},null,{"$f":"Incidence!K97","v":0.85},null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,"Weekdays","Weekends",null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"For NYC",null,null,{"$f":"Incidence!K97","v":0.85},{"$f":"Incidence!K157","v":0.72249999999999992},{"$f":"CONCATENATE(\"Array is from 'Incidence' tab, Rows \",Incidence!AA97, \"-\",Incidence!AA100, \", and Rows \",Incidence!AA157, \"-\",Incidence!AA160, \".\")","v":"Array is from 'Incidence' tab, Rows 97-100, and Rows 157-160."},null,null,null,null,{"$f":"ROW()","v":273}]
[null,"For remainder of MTA 12-county region",null,null,{"$f":"Incidence!K98","v":0.8},{"$f":"Incidence!K158","v":0.68},null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"For NJ + CT",null,null,{"$f":"Incidence!K99","v":0.8},{"$f":"Incidence!K159","v":0.68},null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"For 'Other'",null,null,{"$f":"Incidence!K100","v":0.35},{"$f":"Incidence!K160","v":0.29749999999999999},null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Factor by which thru-CBD-commute autos are supplemented by other, less regular thru-CBD work trips",null,null,null,null,"Both figures are Komanoff assumptions.",null,"Weekdays","Weekends",null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,{"$f":"Incidence!K123","v":0.15},{"$f":"Incidence!K163","v":0.35},null,{"$f":"ROW()","v":279}]
[null,"% of auto trips entering or re-entering CBD that are now tolled",null,null,null,null,{"$f":"CONCATENATE(\"'Incidence' tab, Rows \",Incidence!AA222, \"-\",Incidence!AA231, \", has assumptions in array by county and toll crossing.\")","v":"'Incidence' tab, Rows 222-231, has assumptions in array by county and toll crossing."},null,null,null,null,{"$f":"ROW()","v":280}]
[null,"Baseline taxi revenues paid by Manhattan residents",null,null,null,null,{"$f":"CONCATENATE(\"(From 'Incidence' tab, Row \",Incidence!AA305, \".)\")","v":"(From 'Incidence' tab, Row 305.)"},null,{"$f":"Incidence!I305","v":0.62},null,null,{"$f":"ROW()","v":281}]
[null,"Baseline taxi revenues paid by residents of each other county",null,null,null,null,{"$f":"CONCATENATE(\"(Also in 'Incidence', Row \",Incidence!AA305, \".)\")","v":"(Also in 'Incidence', Row 305.)"},null,{"$f":"CONCATENATE(\"Between \",100*MIN(Incidence!G305:W305), \"% and \",100*LARGE((Incidence!G305:K305,Incidence!M305:S305,Incidence!U305:W305),2), \"%, depending on county.\")","v":"Between 0.2% and 12.5%, depending on county."},null,null,{"$f":"ROW()","v":282}]
[null,"% autos driven regularly to CBD on weekends also driven regularly to CBD on weekdays",null,null,null,null,null,"(Komanoff)",{"$f":"Incidence!G449","v":0.1},null,null,{"$f":"ROW()","v":283}]
[null,"Addit'l non-work trips per month per regular commuter",null,null,null,{"$f":"CONCATENATE(\"(Komanoff assumptions, Row \",Incidence!AA486, \".)\")","v":"(Komanoff assumptions, Row 486.)"},null,null,{"$f":"CONCATENATE(\"Between \",MIN(Incidence!G486:W486), \" and \",MAX(Incidence!G486:W486), \", depending on county.\")","v":"Between 0.5 and 3, depending on county."},null,null,{"$f":"ROW()","v":284}]
[null,"% of HH's using car for commuting that have E-ZPass",null,null,null,{"$f":"CONCATENATE(\"(Komanoff assumptions, Row \",Incidence!AA501, \".)\")","v":"(Komanoff assumptions, Row 501.)"},null,null,{"$f":"CONCATENATE(\"Between \",100*MIN(Incidence!G501:W501), \"% and \",100*MAX(Incidence!G501:W501), \"%, depending on county.\")","v":"Between 90% and 95%, depending on county."},null,null,{"$f":"ROW()","v":285}]
[null,"% pts by which irregular Households' EZ-P use is less than commuters'",null,null,null,null,null,"(Komanoff)",{"$f":"Incidence!G513*100","v":5},null,null,{"$f":"ROW()","v":286}]
[null,"% car-owning non-CBD-commuting HH's taking zero CBD trips/mo.",null,null,null,null,{"$f":"CONCATENATE(\"(Komanoff assmptns, Row \",Incidence!AA507, \".)\")","v":"(Komanoff assmptns, Row 507.)"},null,{"$f":"CONCATENATE(\"Between \",100*MIN(Incidence!G507:W507), \"% and \",100*MAX(Incidence!G507:W507), \"%, depending on county.\")","v":"Between 20% and 60%, depending on county."},null,null,{"$f":"ROW()","v":287}]
[null,"HH's using car for CBD access >= 1x/month and using E-ZPass: Ratio of that number to all CBD-crossing auto trips",null,null,null,null,null,null,{"$f":"Incidence!X521","v":0.11592850369600941},null,null,{"$f":"ROW()","v":288}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"This number, calc'd in Cell X\",Incidence!AA521, \", is a result, not an assumption. It is shown here for completeness.\")","v":"This number, calc'd in Cell X521, is a result, not an assumption. It is shown here for completeness."},null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Residents' shares of trips across MTA bridges, by county",null,null,null,null,{"$f":"CONCATENATE(\"A 7x15 matrix in 'Incidence' tab, Rows \",Incidence!AA375, \"-\",Incidence!AA384, \", with assumptions by Komanoff.\")","v":"A 7x15 matrix in 'Incidence' tab, Rows 375-384, with assumptions by Komanoff."},null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Borough benefits from possible dollar-fare for bus lines beyond reach of subways",null,null,null,null,null,null,"See Buses section of this worksheet.",null,null,{"$f":"ROW()","v":292}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Manhattan residents' costs from eliminating partial sales tax exemption for monthly parkers",null,null,null,null,null,null,"See Parking section of this worksheet.",null,null,{"$f":"ROW()","v":294}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,"Trucks",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends",null,{"$f":"ROW()","v":297}]
[null,"Some assumptions",null,null,null,null,"Figures in array at right are from 'Motor Vs' and 'Motor Vs Weekends' worksheets. Row references are to those sheets.",null,null,null,null,{"$f":"ROW()","v":298}]
[null,"Number of trucks crossing into the cordon",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O35,)","v":"Row 35"},{"$f":"'Motor Vs'!M35","v":46200},{"$f":"'Motor Vs Weekends'!M35","v":18500},null,{"$f":"ROW()","v":299}]
[null,"% of those entries that are part of a through-trip",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O46,)","v":"Row 46"},{"$f":"'Motor Vs'!M46","v":0.27},{"$f":"'Motor Vs Weekends'!M46","v":0.29700000000000004},null,{"$f":"ROW()","v":300}]
[null,"% of truck through-trips that return through cordon",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O57,)","v":"Row 57"},{"$f":"'Motor Vs'!M57","v":0.8},{"$f":"'Motor Vs Weekends'!M57","v":0.70000000000000007},null,{"$f":"ROW()","v":301}]
[null,"% truck thru-trip segments that are part of round-trip that goes thru cordon 2x",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O59,)","v":"Row 59"},{"$f":"'Motor Vs'!M59","v":0.88888888888888895},{"$f":"'Motor Vs Weekends'!M59","v":0.82352941176470584},null,{"$f":"ROW()","v":302}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,"Some results",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"Trips that aren't part of a through-trip",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O76,)","v":"Row 76"},{"$f":"'Motor Vs'!M76","v":33726},{"$f":"'Motor Vs Weekends'!M76","v":13005.5},null,{"$f":"ROW()","v":305}]
[null,"Trips that include 1 or 2 through-trips",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O77,)","v":"Row 77"},{"$f":"'Motor Vs'!M77","v":6930},{"$f":"'Motor Vs Weekends'!M77","v":3232.0588235294126},null,{"$f":"ROW()","v":306}]
[null,"Cordon-crossing trips that are part of through-trips",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O78,)","v":"Row 78"},{"$f":"'Motor Vs'!M78","v":12474},{"$f":"'Motor Vs Weekends'!M78","v":5494.5000000000018},null,{"$f":"ROW()","v":307}]
[null,"C-crossing trips, with trips that pass thru cordon twice counted only once",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",'Motor Vs'!O85,)","v":"Row 85"},{"$f":"'Motor Vs'!M85","v":40700},{"$f":"'Motor Vs Weekends'!M85","v":16200},null,{"$f":"ROW()","v":308}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"Truck entries to CBD, categorized by # of axles",null,null,null,2,3,4,5,6,null,{"$f":"ROW()","v":310}]
[null,null,null,null,null,{"$f":"Trucks!E99","v":0.74301675977653636},{"$f":"Trucks!F99","v":0.21940071102082276},{"$f":"Trucks!G99","v":2.8440832910106652E-2},{"$f":"Trucks!H99","v":9.141696292534281E-3},{"$f":"Trucks!I99","v":0},null,{"$f":"ROW()","v":311}]
[null,{"$f":"CONCATENATE(\"These are shown in 'Trucks' worksheet, Row \",Trucks!U99, \", and are derived there in Rows \",Trucks!U51, \"-\",Trucks!U108, \".\")","v":"These are shown in 'Trucks' worksheet, Row 99, and are derived there in Rows 51-108."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Taxis",{"$f":"CONCATENATE(\"The assumptions below make up only a fraction of the entries in the 'Taxis' worksheet, which runs to over \",Taxis!O741, \" rows. Most of those rows perform mathematical operations on the data below as well as on data such as CBD vehicle speeds that are 'called' from other worksheets.\")","v":"The assumptions below make up only a fraction of the entries in the 'Taxis' worksheet, which runs to over 741 rows. Most of those rows perform mathematical operations on the data below as well as on data such as CBD vehicle speeds that are 'called' from other worksheets."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,"Baseline assumptions from B. Schaller's \"Taxi Fact Book, 2006,\" but also incorporating NYS Taxi Surcharge ($0.50 per ride) adopted in 2009",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,null,null,"All, or Weekdays","Weekends",null,{"$f":"ROW()","v":319}]
[null,"Taxi ridership, millions, 2011 (fare trips, not number of passengers)",null,null,null,null,"All assumptions are from Schaller, except (i) revenue, which is calculated in 'Taxis' worksheet, (ii) weekend passengers per trip, which is by Komanoff, and (iii) % of VMT spent cruising, which reduces Schaller's 39% by ~ one-tenth.",null,{"$f":"Taxis!N72","v":108.77322416666665},null,null,{"$f":"ROW()","v":320}]
[null,"Passengers per trip",null,null,null,null,null,null,{"$f":"Taxis!L74","v":1.4},1.5,null,{"$f":"ROW()","v":321}]
[null,"Average trip length, miles",null,null,null,null,null,null,{"$f":"Taxis!G261","v":2.6860000000000004},null,null,{"$f":"ROW()","v":322}]
[null,"Percentage of medallion taxi trips that are CBD-related",null,null,null,null,null,null,{"$f":"Taxis!H261","v":0.82269999999999999},null,null,{"$f":"ROW()","v":323}]
[null,"Assumed average trip length for taxi trips that don't relate to CBD, miles",null,null,null,null,null,null,{"$f":"Taxis!L192","v":5.1959044368600686},null,null,{"$f":"ROW()","v":324}]
[null,"Percentage of taxi VMT spent cruising",null,null,null,null,null,null,{"$f":"Taxis!L194","v":0.35},null,null,{"$f":"ROW()","v":325}]
[null,"Number of fares per shift, baseline",null,null,null,null,null,null,{"$f":"Taxis!L183","v":20},null,null,{"$f":"ROW()","v":326}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Baseline assumptions by Komanoff",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,"Average trip length for taxi trips beginning and/or ending in CBD, miles",null,null,null,null,null,null,{"$f":"Taxis!L196","v":2.1494590980916501},null,null,{"$f":"ROW()","v":329}]
[null,"Of which CBD portion, in miles, is",null,null,null,null,null,null,{"$f":"Taxis!L198","v":1.6239562416433695},null,null,{"$f":"ROW()","v":330}]
[null,"Ratio, avg miles for non-CBD to avg miles for CBD trips",null,null,null,null,null,null,{"$f":"Taxis!L206","v":2.4173078899119957},null,null,{"$f":"ROW()","v":331}]
[null,"Estimated total miles of different taxi fare trips (excludes cruising)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,"Entirely w/i CBD (Komanoff assumption)",null,null,{"$f":"CONCATENATE(\"Calc'd in 'Taxis' worksheet, Cell L\",Taxis!O221,\".\")","v":"Calc'd in 'Taxis' worksheet, Cell L221."},null,null,null,{"$f":"Taxis!L221","v":1.7999999999999998},null,null,{"$f":"ROW()","v":333}]
[null,"Entirely w/o CBD (Komanoff assumption)",null,null,{"$f":"CONCATENATE(\"Calc'd in 'Taxis' worksheet, Cell L\",Taxis!O222,\".\")","v":"Calc'd in 'Taxis' worksheet, Cell L222."},null,null,null,{"$f":"Taxis!L222","v":5.1959044368600686},null,null,{"$f":"ROW()","v":334}]
[null,"Origin or destination in CBD but not both",null,null,{"$f":"CONCATENATE(\"Calc'd in 'Taxis' worksheet, Cell L\",Taxis!O223,\".\")","v":"Calc'd in 'Taxis' worksheet, Cell L223."},null,null,null,{"$f":"Taxis!L223","v":3.1619227144203603},null,null,{"$f":"ROW()","v":335}]
[null,"VMT of leaving-CBD taxi trips as % of VMT of entering-CBD trips (predicated on more direct end-of-shift exits)",null,null,null,null,null,null,{"$f":"Taxis!L228","v":0.75},null,null,{"$f":"ROW()","v":336}]
[null,"Number of medallion taxicabs (publicly available and widely known datum)",null,null,null,null,null,null,{"$f":"Taxis!L180","v":13587},null,null,{"$f":"ROW()","v":337}]
[null,"Shifts per day per medallion taxi",null,null,null,null,null,null,{"$f":"Taxis!L185","v":1.1221982064205094},{"$f":"Taxis!M185","v":1.0342661335977161},null,{"$f":"ROW()","v":338}]
[null,"% of medallion taxi fares that breach cordon zone (inward direction)",null,null,null,null,null,null,{"$f":"Taxis!L236","v":7.0233333333333287E-2},null,null,{"$f":"ROW()","v":339}]
[null,"% of medallion cab shifts that begin by breaching cordon zone inward w/o fare",null,null,null,null,null,null,{"$f":"Taxis!L240","v":0.75},null,null,{"$f":"ROW()","v":340}]
[null,"Time required to pick up a passenger, minutes (does not include cruising)",null,null,null,null,null,null,{"$f":"Taxis!G444","v":0.25},null,null,{"$f":"ROW()","v":341}]
[null,"Time required to drop off a passenger, minutes (does not include cruising)",null,null,null,null,null,null,{"$f":"Taxis!G445","v":0.4},null,null,{"$f":"ROW()","v":342}]
[null,"Average passenger hail time, minutes",null,null,null,null,null,null,{"$f":"Taxis!E549","v":4.3600000000000003},{"$f":"Taxis!H549","v":4.3600000000000003},null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Estimation of taxi cruising rates (i.e., % of taxi VMT w/o fare-paying passengers) for different periods of the day",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,{"$f":"CONCATENATE(\"Estimating diurnal variations in taxi cruising lets us assign total 24-h taxi VMT to different time periods. This is done in 'Taxis' worksheet, Rows \",Taxis!O280, \"-\",Taxis!O322, \". Underlying data are all taxi boardings as compiled by NYC Taxi & Limousine Commission and obtained and processed by taxi-sharing startup fareshare.com.\")","v":"Estimating diurnal variations in taxi cruising lets us assign total 24-h taxi VMT to different time periods. This is done in 'Taxis' worksheet, Rows 280-322. Underlying data are all taxi boardings as compiled by NYC Taxi & Limousine Commission and obtained and processed by taxi-sharing startup fareshare.com."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,{"$f":"CONCATENATE(\"A key formula in this process, of our own devising, relates each period's normalized (per-hour) share of taxi boardings to the 24-h average; the higher the share, the lower the rate of taxi cruising. The formula is applied in Row \",Taxis!O291, \".\")","v":"A key formula in this process, of our own devising, relates each period's normalized (per-hour) share of taxi boardings to the 24-h average; the higher the share, the lower the rate of taxi cruising. The formula is applied in Row 291."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,null,null,null,null,null,null,null,"Weekdays","Weekends",null,{"$f":"ROW()","v":352}]
[null,"Estimation of taxi hail times (the time that prospective cab users spend seeking a yellow cab affects demand for taxi services) ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,"Baseline hail time, minutes",null,null,"Komanoff assumptions",null,null,null,{"$f":"Taxis!E549","v":4.3600000000000003},{"$f":"Taxis!H549","v":4.3600000000000003},null,{"$f":"ROW()","v":354}]
[null,{"$f":"CONCATENATE(\"Changes in hail times as a result of changes in taxi fares, CBD travel speeds, number of shifts per cab, number of medallion taxis and other factors are estimated in 'Taxis' worksheet, Rows \",Taxis!O522, \"-\",Taxis!O559, \".\")","v":"Changes in hail times as a result of changes in taxi fares, CBD travel speeds, number of shifts per cab, number of medallion taxis and other factors are estimated in 'Taxis' worksheet, Rows 522-559."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"Other assumptions by Komanoff",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,"Estimated mode shares of passengers' \"second choices\" if cabs are deemed too costly",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"Subway",null,null,null,null,null,null,{"$f":"Taxis!H661","v":0.45},{"$f":"Taxis!K661","v":0.4},null,{"$f":"ROW()","v":360}]
[null,"Bus",null,"Thess assumptions effectively function as cross-elasticities of demand for other modes with respect to demand for medallion taxi service.",null,null,null,null,{"$f":"Taxis!H662","v":0.33},{"$f":"Taxis!K662","v":0.25},null,{"$f":"ROW()","v":361}]
[null,"Private Auto",null,null,null,null,null,null,{"$f":"Taxis!H663","v":0.15},{"$f":"Taxis!K663","v":0.25},null,{"$f":"ROW()","v":362}]
[null,"Bike or Walk",null,null,null,null,null,null,{"$f":"Taxis!H664","v":0.05},{"$f":"Taxis!K664","v":0.08},null,{"$f":"ROW()","v":363}]
[null,"No Travel",null,null,null,null,null,null,{"$f":"Taxis!H665","v":1.9999999999999907E-2},{"$f":"Taxis!K665","v":2.0000000000000018E-2},null,{"$f":"ROW()","v":364}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"Transit",{"$f":"CONCATENATE(\"Note: See 'Transit' tab, Rows \",Transit!O22, \"-\",Transit!O49, \", for baseline transit fares, discounts, etc.\")","v":"Note: See 'Transit' tab, Rows 22-49, for baseline transit fares, discounts, etc."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,null,null,null,null,null,null,null,"Subway","Bus",null,{"$f":"ROW()","v":367}]
[null,"% of NYC Transit fares paid for on Incremental-Cost Basis",null,null,null,{"$f":"CONCATENATE(\"Figs are for 2014 and are documented and calculated in 'Transit' worksheet, Row \",Transit!O64, \".\")","v":"Figs are for 2014 and are documented and calculated in 'Transit' worksheet, Row 64."},null,null,{"$f":"Transit!H64","v":0.51994432529327883},{"$f":"Transit!I64","v":0.55096293689984754},null,{"$f":"ROW()","v":368}]
[null,"% of NYC Transit fares that are undiscounted",null,null,null,null,null,null,{"$f":"Transit!J64","v":0.12523776437447981},{"$f":"Transit!K64","v":0.20681879837846356},null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,"% trips going thru subway turnstile that are allocable to subways",null,null,null,null,{"$f":"CONCATENATE(\"Calculated and documented in 'Transit' tab, Rows \",Transit!O108, \"-\",Transit!O112, \".\")","v":"Calculated and documented in 'Transit' tab, Rows 108-112."},null,{"$f":"Transit!H108","v":0.95574999999999999},null,null,{"$f":"ROW()","v":371}]
[null,"% trips going thru a bus \"turnstile\" that are allocable to buses ",null,null,null,null,null,null,{"$f":"Transit!H110","v":0.73954545454545451},null,null,{"$f":"ROW()","v":372}]
[null,{"$f":"Transit!B112","v":"% bus trips w/ no subway component"},null,null,null,null,null,null,{"$f":"Transit!H112","v":0.77272727272727271},null,null,{"$f":"ROW()","v":373}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,{"$f":"Transit!C189","v":"Duration of a typical subway trip, hours"},null,null,null,null,null,null,{"$f":"Transit!H189","v":0.75},null,null,{"$f":"ROW()","v":375}]
[null,"Komanoff assumption, includes wait time. Is used to estimate average percent by which subway trips are lengthened by reduced service frequency.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,"Percent by which average NYC subway trip duration will be shortened per $100 million/year invested in capital",null,null,null,null,null,null,{"$f":"Transit!H216","v":1.3117150680790505E-2},null,null,{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"Derived in 'Transit' worksheet, based on NYC Transit data on expense savings, lengthening of travel time, and riders affected from two measures adopted on system-wide basis in Winter 2010. We have reduced the figure derived through this \"&\"process by a factor of \",Transit!H198,\" to make it an appropriate basis for extrapolating the extent to which increased investment would be expected to improve subway trip times. This is intended to avoid over-optimistic prediction of travel time \"&\"gains from increased expenditures, especially insofar as the base from which the deterioration in service documented in the 'Transit' worksheet is so slender.\")","v":"Derived in 'Transit' worksheet, based on NYC Transit data on expense savings, lengthening of travel time, and riders affected from two measures adopted on system-wide basis in Winter 2010. We have reduced the figure derived through this process by a factor of 2 to make it an appropriate basis for extrapolating the extent to which increased investment would be expected to improve subway trip times. This is intended to avoid over-optimistic prediction of travel time gains from increased expenditures, especially insofar as the base from which the deterioration in service documented in the 'Transit' worksheet is so slender."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,"Percent attrition in above rate per each additional $100 million invested",null,null,null,null,null,null,{"$f":"Transit!H219","v":0.05},null,null,{"$f":"ROW()","v":386}]
[null,"Komanoff estimate. Is intended to capture diminishing returns in translating transit investment to improved travel time.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,"Number of years required for assumed investment to realize its full predicted benefit:",null,null,null,null,null,null,{"$f":"Transit!H271","v":5},null,null,{"$f":"ROW()","v":389}]
[null,"Komanoff assumption, intended to reflect real-world lead times between capital spending and service benefit.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":390}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,"Average distance ridden on NYC Transit bus trips, miles",null,null,null,null,null,null,{"$f":"Transit!I301","v":3.63},null,null,{"$f":"ROW()","v":392}]
[null,"Komanoff estimate, based on calculations in 2007 on database of census-derived home-to-work and work-to-home trips developed by B. Schaller, circa 2006-2007. Is used in estimating % by which greater spending on bus operations reduces riders' travel times.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,"Share of increased spending on transit operations devoted to buses (subways receive remainder)",null,null,null,null,null,null,{"$f":"Transit!I361","v":1},null,null,{"$f":"ROW()","v":397}]
[null,{"$f":"CONCATENATE(\"Set in 'Transit' tab, Row \",Transit!O361, \".\")","v":"Set in 'Transit' tab, Row 361."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,"% reduction in average NYC bus trip durations per first $50 million/yr in additional operating expenditures",null,null,null,null,null,null,{"$f":"Transit!I339","v":7.0890609581613882E-3},null,null,{"$f":"ROW()","v":400}]
[null,{"$f":"CONCATENATE(\"From 'Buses' worksheet, Row \",Buses!O287, \". Estimated by distributing $50 million among the 20 most frequented bus lines.\")","v":"From 'Buses' worksheet, Row 287. Estimated by distributing $50 million among the 20 most frequented bus lines."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,{"$f":"CONCATENATE(\"Rate of Attrition of Effectiveness of Increased Expenditures, Relative to That for Capital given in Row \",L386, \".\")","v":"Rate of Attrition of Effectiveness of Increased Expenditures, Relative to That for Capital given in Row 386."},null,null,null,null,null,null,{"$f":"Transit!I342","v":1.2},null,null,{"$f":"ROW()","v":403}]
[null,"Komanoff est. Is intended to capture presumed steeper slope of diminishing returns for operating expenditures and bus sector, vis-à-vis capital investments and subway sector.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,"Percent attrition in above rate per each additional $50 million spent",null,null,null,null,null,null,{"$f":"Transit!I346","v":0.03},null,null,{"$f":"ROW()","v":407}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption. Is product of Row \",L386, \", Row \",L403, \", and one-half (to adjust $100 million base in Row \",L386,\" to $50 million base in Row \",L400, \").\")","v":"Komanoff assumption. Is product of Row 386, Row 403, and one-half (to adjust $100 million base in Row 386 to $50 million base in Row 400)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,"Subways",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,"NYC Subway subway ridership, 2015 (millions, projected)",null,null,null,null,null,null,{"$f":"Subways!N11","v":1691.7080000000001},null,null,{"$f":"ROW()","v":413}]
[null,"Turnstile count (365 days, 24 hours) in \"MTA February Financial Plan 2014-2017,\" Feb. 2014, p. 283 of 383. Available at http://web.mta.info/mta/budget/pdf/Adopted_Budget_February_Financial_Plan_2014-2017.pdf.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,"Adjustment factor to normalize ridership to full fare",null,null,null,null,null,null,{"$f":"Subways!M18","v":0.95574999999999999},null,null,{"$f":"ROW()","v":416}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate. Is shown in 'Subways' worksheet, Row \",Subways!O18, \", but is derived in 'Transit' worksheet, Row \",Transit!O108, \".\")","v":"Komanoff estimate. Is shown in 'Subways' worksheet, Row 18, but is derived in 'Transit' worksheet, Row 108."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,"Adjusted (full-fare equiv.) subway ridership, 2015 (millions, projected)",null,null,null,null,null,null,{"$f":"Subways!M21","v":1616.849921},null,null,{"$f":"ROW()","v":418}]
[null,{"$f":"CONCATENATE(\"Appears in 'Subways' worksheet, Row \",Subways!O22, \". Is product of Rows \",L413, \" and \",L416, \", above.\")","v":"Appears in 'Subways' worksheet, Row 22. Is product of Rows 413 and 416, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,"Work trips' percentage of subway trips (balance is non-work trips)",null,null,null,null,null,null,{"$f":"Subways!K24","v":0.6},null,null,{"$f":"ROW()","v":420}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption. Is relevant because of differing work and non-work elasticities. Appears in 'Subways' worksheet, Row \",Subways!O24, \".\")","v":"Komanoff assumption. Is relevant because of differing work and non-work elasticities. Appears in 'Subways' worksheet, Row 24."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,"Subway Farebox Revenue, 2015 (millions, projected)",null,null,null,null,null,null,{"$f":"Subways!N12","v":3433.5540000000001},null,null,{"$f":"ROW()","v":422}]
[null,{"$f":"CONCATENATE(\"From same Nov. 2010 MTA budget document referenced in Row \",L414, \", above.\")","v":"From same Nov. 2010 MTA budget document referenced in Row 414, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,null,null,null,null,null,{"$f":"Subways!J31","v":"Overall"},{"$f":"Subways!K31","v":"Work"},{"$f":"Subways!L31","v":"Non-work"},null,null,{"$f":"ROW()","v":424}]
[null,"Current Adjusted Subway Fares (\"Fare 1\"), Work Trips vs. Non-Work Trips",null,null,null,null,{"$f":"Subways!J33","v":2.1236071173980036},{"$f":"Subways!K33","v":2.1236071173980036},{"$f":"Subways!L33","v":2.1236071173980036},null,null,{"$f":"ROW()","v":425}]
[null,{"$f":"CONCATENATE(\"Overall Fare is calculated by dividing Farebox Revenue in Row \",L422, \" by Adjusted Ridership in Row \",L418, \". See 'Subways' tab, Row \",Subways!O31, \" for derivation of average work and non-work fares.\")","v":"Overall Fare is calculated by dividing Farebox Revenue in Row 422 by Adjusted Ridership in Row 418. See 'Subways' tab, Row 31 for derivation of average work and non-work fares."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,"Effective discount from average subway fare on incremental-cost paying rides",null,null,null,null,null,null,{"$f":"Transit!H38","v":4.3369617556938349E-2},null,null,{"$f":"ROW()","v":429}]
[null,{"$f":"CONCATENATE(\"Is derived in 'Transit' worksheet, Row \",Transit!O38, \". Reflects 2011 MTA bonus discount and share of incremental-cost paying rides eligible for bonus, both of which are specified or derived in 'Transit' worksheet, Rows \",Transit!O33, \" and \",Transit!O38, \".\")","v":"Is derived in 'Transit' worksheet, Row 38. Reflects 2011 MTA bonus discount and share of incremental-cost paying rides eligible for bonus, both of which are specified or derived in 'Transit' worksheet, Rows 33 and 38."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,"Hour-by-hour subway riders entering and leaving Manhattan CBD",null,null,null,null,null,null,"(vector of 24 figures, not shown here)",null,null,{"$f":"ROW()","v":432}]
[null,{"$f":"CONCATENATE(\"Figures appear in 'Subways' worksheet, Row \",Subways!O110,\" and are from  NYMTC 'Hub-Bound Travel Report, 2015,' available via <http://nymtc.org/files/hub_bound/DM_TDS_Hub_Bound_Travel_2015.pdf>\"\".\")","v":"Figures appear in 'Subways' worksheet, Row 110 and are from  NYMTC 'Hub-Bound Travel Report, 2015,' available via <http://nymtc.org/files/hub_bound/DM_TDS_Hub_Bound_Travel_2015.pdf>\"."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,{"$f":"Subways!B35","v":"Weekday/Weekend breakout (un-normalized)"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Hour-by-hour division of subway trips between work and non-work",null,null,null,null,null,null,"(vector of 24 figures, not shown here)",null,null,{"$f":"ROW()","v":435}]
[null,{"$f":"CONCATENATE(\"This breakdown is needed because price- and time-elasticities of travel demand differ between transit work and non-work trips. Figures appear in 'Subways' worksheet, Row \",Subways!O114,\" and are drawn from matrix in 'Weekday Hours' worksheet tab (extending from Column P to Column R, Row \",'Weekday Hours'!N22,\" to \",'Weekday Hours'!N29,\") that helps apporition CBD-bound auto trips among work, non-work and through; we apply those factors to subway trips as well.\")","v":"This breakdown is needed because price- and time-elasticities of travel demand differ between transit work and non-work trips. Figures appear in 'Subways' worksheet, Row 114 and are drawn from matrix in 'Weekday Hours' worksheet tab (extending from Column P to Column R, Row 22 to 29) that helps apporition CBD-bound auto trips among work, non-work and through; we apply those factors to subway trips as well."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,null,null,null,null,"Price (i.e., w/r/t % increase\nin trip's total cost)",null,"Time (i.e., w/r/t % increase\nin trip's total duration)",null,null,null,{"$f":"ROW()","v":440}]
[null,"Transit Elasticities",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":441}]
[null,"Transit trips for work",null,null,null,null,{"$f":"Elasticities!G64","v":-0.09},null,{"$f":"Elasticities!G65","v":-0.5},null,null,{"$f":"ROW()","v":442}]
[null,"Transit trips for non-work",null,null,null,null,{"$f":"Elasticities!H64","v":-0.23400000000000001},null,{"$f":"Elasticities!H65","v":-0.55000000000000004},null,null,{"$f":"ROW()","v":443}]
[null,{"$f":"CONCATENATE(\"Derivation and detailed discussion may be found in 'Elasticities' worksheet, esp'ly Rows \",Elasticities!O6, \"-\",Elasticities!O90, \". For cross-elasticities (not shown here), see same worksheet, Rows \",Elasticities!O104, \"-\",Elasticities!O127, \". Time-switching elasticities are discussed in eponymous worksheet.\")","v":"Derivation and detailed discussion may be found in 'Elasticities' worksheet, esp'ly Rows 6-90. For cross-elasticities (not shown here), see same worksheet, Rows 104-127. Time-switching elasticities are discussed in eponymous worksheet."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":445}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446}]
[null,"Average change in subway trip duration (due to transit investment enabled by toll revenues)",null,null,null,null,null,null,{"$f":"Subways!L184","v":-0.10990356711003627},null,null,{"$f":"ROW()","v":447}]
[null,{"$f":"CONCATENATE(\"Figure is shown in 'Subways' worksheet, Row \",Subways!O184, \", but is actually derived at 'Transit' worksheet in Rows \",Transit!O234, \" and \",Transit!O381, \". It reflects results of investments made possible by toll revenues that will help keep system in state of good repair, as well as possible service expansions. It is applied uniformly in all time periods.\")","v":"Figure is shown in 'Subways' worksheet, Row 184, but is actually derived at 'Transit' worksheet in Rows 234 and 381. It reflects results of investments made possible by toll revenues that will help keep system in state of good repair, as well as possible service expansions. It is applied uniformly in all time periods."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null,"Duration change from any other exogenously specified cause (e.g., cuts, efficiencies; is currently set to zero)",null,null,null,null,null,null,{"$f":"Subways!L188","v":0},null,null,{"$f":"ROW()","v":451}]
[null,"% of riders who pay on per-ride basis and, thus, may respond to fare discounts offered on per-ride basis",null,null,null,null,null,null,{"$f":"Subways!N253","v":0.49613572167637238},null,null,{"$f":"ROW()","v":452}]
[null,{"$f":"CONCATENATE(\"Shown in 'Subways' worksheet, Row \",Subways!O253, \", but derived in 'Transit' worksheet, Row \",Transit!O74, \" as sum of cash, pay-per-ride & bonus-pay-per-ride shares in first eight months of 2010 (most recent data available).\")","v":"Shown in 'Subways' worksheet, Row 253, but derived in 'Transit' worksheet, Row 74 as sum of cash, pay-per-ride & bonus-pay-per-ride shares in first eight months of 2010 (most recent data available)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Time-switching elasticities for subways (one vector for switching earlier, another for later, each w/ 24 figures, not shown here)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,{"$f":"CONCATENATE(\"These figures appear in 'Subways' worksheet, Rows \",Subways!O255, \" and \",Subways!O257, \", and are derived in the dozen or so rows oreceding them.\")","v":"These figures appear in 'Subways' worksheet, Rows 255 and 257, and are derived in the dozen or so rows oreceding them."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":456}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457}]
[null,"Cross Elasticities (these express extent to which trips that are lost in one mode rematerialize in another)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458}]
[null,null,null,null,null,null,null,"Work trips","Non-work trips",null,null,{"$f":"ROW()","v":459}]
[null,"Change in Transit Volume per Change in Auto Volume caused by change in Auto Time",null,null,null,null,null,"Not used","Not used",{"$f":"CONCATENATE(\"See 'Elasticities' tab, Row \",Elasticities!O110, \".\")","v":"See 'Elasticities' tab, Row 110."},null,{"$f":"ROW()","v":460}]
[null,"Change in Transit Volume per Change in Auto Volume caused by change in Auto Cost",null,null,null,null,null,{"$f":"Elasticities!I114","v":0.90249999999999997},{"$f":"Elasticities!J114","v":0.47499999999999998},null,null,{"$f":"ROW()","v":461}]
[null,"Change in Taxicab Volume per Change in Auto Volume caused by change in Auto Time or Cost",null,null,null,null,null,{"$f":"Elasticities!I117","v":4.7500000000000001E-2},{"$f":"Elasticities!J117","v":2.5000000000000001E-2},null,null,{"$f":"ROW()","v":462}]
[null,"Change in Auto Volume per Change in Transit Volume caused by change in Transit Cost",null,null,null,null,null,{"$f":"Elasticities!I120","v":0.90249999999999997},{"$f":"Elasticities!J120","v":0.47499999999999998},null,null,{"$f":"ROW()","v":463}]
[null,"Change in Auto Volume per Change in Transit Volume caused by change in Transit Time",null,null,null,null,null,{"$f":"Elasticities!I123","v":0.90249999999999997},{"$f":"Elasticities!J123","v":0.50349999999999995},null,null,{"$f":"ROW()","v":464}]
[null,"Change in Taxi Volume per Change in Transit Volume caused by change in Transit Time or Cost",null,null,null,null,null,{"$f":"Elasticities!I126","v":4.7500000000000001E-2},{"$f":"Elasticities!J126","v":2.5750000000000002E-2},null,null,{"$f":"ROW()","v":465}]
[null,{"$f":"CONCATENATE(\"These figures are explained and derived in 'Elasticities' worksheet, Rows \",Elasticities!O110, \"-\",Elasticities!O139, \".\")","v":"These figures are explained and derived in 'Elasticities' worksheet, Rows 110-139."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467}]
[null,"Income ratio, car commuters into CBD to subway riders into CBD",null,null,null,null,null,null,{"$f":"'Weekday Hours'!H203","v":1.5},null,null,{"$f":"ROW()","v":468}]
[null,"Komanoff estimate. Is used to amplify propensity of subway riders to respond to fare differentials, relative to auto commuters' propensity to respond to toll differentials (holding price-elasticities constant).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":469}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471}]
[null,"Assumed work share of weekend/holiday subway trips (Komanoff assumption)",null,null,null,null,null,null,{"$f":"Subways!R447","v":0.2},null,null,{"$f":"ROW()","v":472}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473}]
[null,"Vehicle Occupancies (of autos entering Manhattan CBD)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,"Average weekend vehicle occupancy (Komanoff estimate)",null,null,null,null,null,null,{"$f":"Subways!N537","v":2},null,null,{"$f":"ROW()","v":475}]
[null,"Average weekday vehicle occupancy (wghtd avg of work and non-work occupancies in H.I.S. worksheet)",null,null,null,null,null,null,{"$f":"Subways!N538","v":1.29},null,null,{"$f":"ROW()","v":476}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":477}]
[null,"Subway vs. Bus (this worksheet apportions new transit trips (from auto trips \"tolled off the roads\") between subway and bus.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,null,null,null,null,null,null,"Subway","Bus",null,null,{"$f":"ROW()","v":480}]
[null,"Time to access mode, minutes (at start + finish)",null,null,"(Komanoff assumptions)",null,null,{"$f":"'Sub v. Bus'!F20","v":10},{"$f":"'Sub v. Bus'!G20","v":10},null,null,{"$f":"ROW()","v":481}]
[null,"Travel time on mode, minutes (one way, for CBD-bound trips)",null,null,null,null,null,{"$f":"'Sub v. Bus'!F31","v":21.550226200258571},{"$f":"'Sub v. Bus'!G31","v":55.662562525474812},null,null,{"$f":"ROW()","v":482}]
[null,{"$f":"CONCATENATE(\"Calculations use avg subway trip duration from 'Sub v. Bus' worksheet, Row \",'Sub v. Bus'!I31, \" which in turn draws on (adjusted) avg length of one-way subway commute trip for both modes to keep comparison on common footing.\")","v":"Calculations use avg subway trip duration from 'Sub v. Bus' worksheet, Row 31 which in turn draws on (adjusted) avg length of one-way subway commute trip for both modes to keep comparison on common footing."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":483}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485}]
[null,"Average value of an hour's time for auto commuter to CBD",null,null,null,"(Shown in Sub v. Bus, derived in Value of Time)",null,null,"Needs revision, a/o 23-April-12.",null,null,{"$f":"ROW()","v":486}]
[null,"Discount, to reflect sub-sample \"tolled\" into transit (Komanoff assumption)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":487}]
[null,"Value of an hour's transit travel time (including time to 'access\" ride) for auto trips \"tolled into\" transit",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Calculated in Sub v. Bus worksheet as product of auto-commuter's time value and complement of discount percent (rounded)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":489}]
[null,"Standard deviation of distribution of total transit trip cost, as a percent of distribution mean",null,null,null,null,null,null,{"$f":"'Sub v. Bus'!H55","v":0.24099999999999999},null,null,{"$f":"ROW()","v":490}]
[null,"Komanoff assumption. Helps generate statistical distribution of trip costs, to derive probabilities of auto trip migrating to subway or bus.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":492}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":493}]
[null,"Buses",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":494}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":495}]
[null,"NYC Transit bus ridership, 2015 (millions, projected)",null,null,null,null,null,null,{"$f":"Buses!L35/1000","v":602.62035600000002},null,null,{"$f":"ROW()","v":496}]
[null,{"$f":"CONCATENATE(\"From MTA 2015 Adopted Budget, fully referenced in 'Buses' worksheet, Row \",Buses!O42, \".\")","v":"From MTA 2015 Adopted Budget, fully referenced in 'Buses' worksheet, Row 42."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":497}]
[null,{"$f":"Buses!B37","v":"Adjustment factor to normalize ridership to full fare"},null,null,null,null,null,null,{"$f":"Buses!J37","v":0},null,null,{"$f":"ROW()","v":498}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":499}]
[null,"Adjusted (full-fare equiv.) bus ridership, 2015 (millions, projected)",null,null,null,null,null,null,{"$f":"Buses!L39","v":482.09628480000003},null,null,{"$f":"ROW()","v":500}]
[null,{"$f":"CONCATENATE(\"Appears in 'Buses' worksheet, Row \",Buses!O39, \". Is product of Rows \",L496, \" and \",L498, \", above.\")","v":"Appears in 'Buses' worksheet, Row 39. Is product of Rows 496 and 498, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":501}]
[null,{"$f":"Buses!B41","v":"Bus revenue, millions"},null,null,null,null,null,null,{"$f":"Buses!L41","v":952.36300000000006},null,null,{"$f":"ROW()","v":502}]
[null,"MTA February Financial Plan 2014-2017, Feb. 2014, p. 283 of 383. Available at http://web.mta.info/mta/budget/pdf/Adopted_Budget_February_Financial_Plan_2014-2017.pdf.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,{"$f":"Buses!B44","v":"Normalized bus fare, all trips (no distinction betw work and non-work trips)"},null,null,null,null,null,null,{"$f":"Buses!L44","v":1.9754622261714638},null,null,{"$f":"ROW()","v":505}]
[null,{"$f":"CONCATENATE(\"Calculated by dividing projected farebox revenue shown in Row \",L502, \" by adjusted ridership in Row \",L500, \". Is shown in 'Buses' worksheet, Row \",Buses!O44, \".\")","v":"Calculated by dividing projected farebox revenue shown in Row 502 by adjusted ridership in Row 500. Is shown in 'Buses' worksheet, Row 44."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"Reduction in bus travel time due to lesser traffic, greater service provision, and/or free fare (if applicable)",null,null,null,null,null,null,{"$f":"Buses!I101","v":2.6240846561797482E-2},null,null,{"$f":"ROW()","v":507}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Buses' worksheet, Row \",Buses!O101, \", drawing on calculation in 'Bus Boarding' worksheet that draws on citywide-average reduction in VMT, and on calculation in 'Transit' worksheet relating expenditures to more frequent bus arrivals.\")","v":"Calculated in 'Buses' worksheet, Row 101, drawing on calculation in 'Bus Boarding' worksheet that draws on citywide-average reduction in VMT, and on calculation in 'Transit' worksheet relating expenditures to more frequent bus arrivals."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":508}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,"Work trips' percentage of bus trips (balance is non-work trips)",null,null,null,"Komanoff assumption.",null,null,{"$f":"Buses!H61","v":0.4},null,null,{"$f":"ROW()","v":510}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,"Weekday Hours ",null,"These worksheets assign 24-hr motor vehicle entries to the CBD into parallel 3x24 matrices (one for weekdays, one for weekends) of hr-by-hr entries for work trips, non-work trips and through-trips; allocation by hour is needed to guide the toll structure and estimate traffic levels and speeds; allocation by trip type is needed to reflect different trip costs and elasticities.",null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,"• ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513}]
[null,"Weekend Hours ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516}]
[null,"Daily (weekday) motor vehicle crossings into Manhattan",null,null,null,null,null,null,{"$f":"'Weekday Hours'!C59","v":903987},null,null,{"$f":"ROW()","v":517}]
[null,{"$f":"CONCATENATE(\"Source: NYCDOT, 'Manhattan River Crossings, 2015.' We use its hour-by-hour figures, shown in 'Weekday Hours' worksheet, Rows \",'Weekday Hours'!N35, \"-\",'Weekday Hours'!N58, \", as proxy for entries to CBD.\")","v":"Source: NYCDOT, 'Manhattan River Crossings, 2015.' We use its hour-by-hour figures, shown in 'Weekday Hours' worksheet, Rows 35-58, as proxy for entries to CBD."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,"Factors",null,null,"Weekdays",null,null,null,null,null,null,{"$f":"ROW()","v":521}]
[null,null,null,null,null,"Work","Thru",null,null,null,null,{"$f":"ROW()","v":522}]
[null,{"$f":"CONCATENATE(\"Figures in boxes at right are Komanoff ests. They adjust work and thru-trip shares of auto trips from 24-h avgs shown in Rows \",L110, \" and \",L112, \". Value of 1.00 indicates that % of work or thru trips in period matches its 24-h avg. Factor of 2.00 for graveyard thru-trips indicates that overnight thru-trips had 2x their 24-h share. Non-work trip factors 'fall out of' work and thru-trip shares.\")","v":"Figures in boxes at right are Komanoff ests. They adjust work and thru-trip shares of auto trips from 24-h avgs shown in Rows 110 and 112. Value of 1.00 indicates that % of work or thru trips in period matches its 24-h avg. Factor of 2.00 for graveyard thru-trips indicates that overnight thru-trips had 2x their 24-h share. Non-work trip factors 'fall out of' work and thru-trip shares."},null,null,{"$f":"'Weekday Hours'!P23","v":"Graveyard"},{"$f":"'Weekday Hours'!Q23","v":0.4},{"$f":"'Weekday Hours'!R23","v":2},"Weekends",null,null,null,{"$f":"ROW()","v":523}]
[null,null,null,null,{"$f":"'Weekday Hours'!P24","v":"A.M. Pre-peak"},{"$f":"'Weekday Hours'!Q24","v":1.5},{"$f":"'Weekday Hours'!R24","v":1},null,"Work","Thru",null,{"$f":"ROW()","v":524}]
[null,null,null,null,{"$f":"'Weekday Hours'!P25","v":"A.M. Peak"},{"$f":"'Weekday Hours'!Q25","v":1.6},{"$f":"'Weekday Hours'!R25","v":0.6},{"$f":"'Weekend Hours'!P22","v":"Graveyard"},{"$f":"'Weekend Hours'!Q22","v":1.3},{"$f":"'Weekend Hours'!R22","v":1.3},null,{"$f":"ROW()","v":525}]
[null,null,null,null,{"$f":"'Weekday Hours'!P26","v":"A.M. Post-peak"},{"$f":"'Weekday Hours'!Q26","v":1.3},{"$f":"'Weekday Hours'!R26","v":0.6},{"$f":"'Weekend Hours'!P23","v":"Early Shoulder"},{"$f":"'Weekend Hours'!Q23","v":1.2},{"$f":"'Weekend Hours'!R23","v":1.2},null,{"$f":"ROW()","v":526}]
[null,null,null,null,{"$f":"'Weekday Hours'!P27","v":"Midday Peak"},{"$f":"'Weekday Hours'!Q27","v":1.1000000000000001},{"$f":"'Weekday Hours'!R27","v":0.8},{"$f":"'Weekend Hours'!P24","v":"Shoulders"},{"$f":"'Weekend Hours'!Q24","v":1},{"$f":"'Weekend Hours'!R24","v":0.9},null,{"$f":"ROW()","v":527}]
[null,null,null,null,{"$f":"'Weekday Hours'!P28","v":"P.M. Peak"},{"$f":"'Weekday Hours'!Q28","v":0.75},{"$f":"'Weekday Hours'!R28","v":1},{"$f":"'Weekend Hours'!P25","v":"Peak"},{"$f":"'Weekend Hours'!Q25","v":0.6},{"$f":"'Weekend Hours'!R25","v":0.8},null,{"$f":"ROW()","v":528}]
[null,null,null,null,{"$f":"'Weekday Hours'!P29","v":"P.M. Post-peak"},{"$f":"'Weekday Hours'!Q29","v":0.6},{"$f":"'Weekday Hours'!R29","v":1.5},{"$f":"'Weekend Hours'!P26","v":"Late Shoulder"},{"$f":"'Weekend Hours'!Q26","v":0.8},{"$f":"'Weekend Hours'!R26","v":0.9},null,{"$f":"ROW()","v":529}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Results",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":531}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":532}]
[null,"Following are the allocations of 24-h total work, non-work and through trips into the time periods used in the Motor Vs and Motor Vs Weekends worksheeets, resulting from applying the above factors to the respective total trips:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535}]
[null,null,"Weekdays",null,null,"Work","Non-Work","Thru",null,"All calculations are performed in the Weekday Hours and Weekend Hours worksheets.",null,{"$f":"ROW()","v":536}]
[null,null,null,null,null,"Each array element is respective share of inbound auto trip types (work, non-work, thru) occurring in the respective pricing bins.",null,null,null,null,null,{"$f":"ROW()","v":537}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":538}]
[null,null,"No. of hours","Period",null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,{"$f":"'Motor Vs'!G135","v":6},{"$f":"'Motor Vs'!G133","v":"11 pm - 5 am"},{"$f":"'Weekday Hours'!P23","v":"Graveyard"},{"$f":"'Weekday Hours'!T66","v":3.5899953027695858E-2},{"$f":"'Weekday Hours'!U66","v":0.10981920419206026},{"$f":"'Weekday Hours'!V66","v":0.17913379093628384},null,null,null,{"$f":"ROW()","v":540}]
[null,null,{"$f":"'Motor Vs'!H135","v":1},{"$f":"'Motor Vs'!H133","v":"5 am - 6 am"},{"$f":"'Weekday Hours'!P24","v":"A.M. Pre-peak"},{"$f":"'Weekday Hours'!T67","v":5.8960551611959344E-2},{"$f":"'Weekday Hours'!U67","v":1.1389477641302383E-2},{"$f":"'Weekday Hours'!V67","v":3.9226893018667851E-2},null,null,null,{"$f":"ROW()","v":541}]
[null,null,{"$f":"'Motor Vs'!I135","v":3},{"$f":"'Motor Vs'!I133","v":"6 am - 9 am"},{"$f":"'Weekday Hours'!P25","v":"A.M. Peak"},{"$f":"'Weekday Hours'!T68","v":0.31687448930679391},{"$f":"'Weekday Hours'!U68","v":7.9450822886109107E-2},{"$f":"'Weekday Hours'!V68","v":0.11858566042565677},null,null,null,{"$f":"ROW()","v":542}]
[null,null,{"$f":"'Motor Vs'!J135","v":1},{"$f":"'Motor Vs'!J133","v":"9 am - 10 am"},{"$f":"'Weekday Hours'!P26","v":"A.M. Post-peak"},{"$f":"'Weekday Hours'!T69","v":7.5843825076842022E-2},{"$f":"'Weekday Hours'!U69","v":4.836952194789091E-2},{"$f":"'Weekday Hours'!V69","v":3.4933472504653437E-2},null,null,null,{"$f":"ROW()","v":543}]
[null,null,{"$f":"'Motor Vs'!K135","v":4},{"$f":"'Motor Vs'!K133","v":"10 am - 2 pm"},{"$f":"'Weekday Hours'!P27","v":"Midday Peak"},{"$f":"'Weekday Hours'!T70","v":0.21438265749583607},{"$f":"'Weekday Hours'!U70","v":0.19242238143853355},{"$f":"'Weekday Hours'!V70","v":0.15559677243172088},null,null,null,{"$f":"ROW()","v":544}]
[null,null,{"$f":"'Motor Vs'!L135","v":6},{"$f":"'Motor Vs'!L133","v":"2 pm - 8 pm "},{"$f":"'Weekday Hours'!P28","v":"P.M. Peak"},{"$f":"'Weekday Hours'!T71","v":0.23280644784844234},{"$f":"'Weekday Hours'!U71","v":0.42200618085768055},{"$f":"'Weekday Hours'!V71","v":0.30977571865031767},null,null,null,{"$f":"ROW()","v":545}]
[null,null,{"$f":"'Motor Vs'!M135","v":3},{"$f":"'Motor Vs'!M133","v":"8 pm - 11 pm"},{"$f":"'Weekday Hours'!P29","v":"P.M. Post-peak"},{"$f":"'Weekday Hours'!T72","v":6.5232075632430359E-2},{"$f":"'Weekday Hours'!U72","v":0.13654241103642334},{"$f":"'Weekday Hours'!V72","v":0.16274769203269934},null,null,null,{"$f":"ROW()","v":546}]
[null,null,null,null,null,{"$f":"'Weekday Hours'!T73","v":0.99999999999999989},{"$f":"'Weekday Hours'!U73","v":1},{"$f":"'Weekday Hours'!V73","v":0.99999999999999978},null,null,null,{"$f":"ROW()","v":547}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,null,"Weekends",null,null,"Work","Non-Work","Thru",null,null,null,{"$f":"ROW()","v":549}]
[null,null,null,null,null,"Each array element is respective share of inbound auto trip types (work, non-work, thru) occurring in the respective pricing bins.",null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,null,null,"Period",null,null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[null,null,{"$f":"'Motor Vs Weekends'!G135","v":10},{"$f":"'Motor Vs Weekends'!G133","v":"Midnight-10 am"},{"$f":"'Weekend Hours'!P22","v":"Graveyard"},{"$f":"'Weekend Hours'!T64","v":0.31120984894254539},{"$f":"'Weekend Hours'!U64","v":0.18531395745530435},{"$f":"'Weekend Hours'!V64","v":0.30969293812731846},null,null,null,{"$f":"ROW()","v":553}]
[null,null,{"$f":"'Motor Vs Weekends'!H135","v":2},{"$f":"'Motor Vs Weekends'!H133","v":"10 am-Noon"},{"$f":"'Weekend Hours'!P23","v":"Early Shoulder"},{"$f":"'Weekend Hours'!T65","v":0.11066995426096175},{"$f":"'Weekend Hours'!U65","v":7.8416298272733331E-2},{"$f":"'Weekend Hours'!V65","v":0.11013052258452366},null,null,null,{"$f":"ROW()","v":554}]
[null,null,{"$f":"'Motor Vs Weekends'!I135+'Motor Vs Weekends'!K135","v":7},"Noon-5, 8-10 pm",{"$f":"'Weekend Hours'!P24","v":"Shoulders"},{"$f":"'Weekend Hours'!T66","v":0.40086199814578555},{"$f":"'Weekend Hours'!U66","v":0.41904014711408372},{"$f":"'Weekend Hours'!V66","v":0.35901729129095661},null,null,null,{"$f":"ROW()","v":555}]
[null,null,{"$f":"'Motor Vs Weekends'!J135","v":3},{"$f":"'Motor Vs Weekends'!J133","v":"5 pm-8 pm"},{"$f":"'Weekend Hours'!P25","v":"Peak"},{"$f":"'Weekend Hours'!T67","v":0.10956977935885176},{"$f":"'Weekend Hours'!U67","v":0.22312438633491366},{"$f":"'Weekend Hours'!V67","v":0.14538094692870479},null,null,null,{"$f":"ROW()","v":556}]
[null,null,{"$f":"'Motor Vs Weekends'!K135","v":2},{"$f":"'Motor Vs Weekends'!L133","v":"10 pm-Midnight"},{"$f":"'Weekend Hours'!P26","v":"Late Shoulder"},{"$f":"'Weekend Hours'!T68","v":6.7688419291855276E-2},{"$f":"'Weekend Hours'!U68","v":9.4105210822964913E-2},{"$f":"'Weekend Hours'!V68","v":7.5778301068496701E-2},null,null,null,{"$f":"ROW()","v":557}]
[null,null,null,null,null,{"$f":"'Weekend Hours'!T69","v":0.99999999999999967},{"$f":"'Weekend Hours'!U69","v":1},{"$f":"'Weekend Hours'!V69","v":1.0000000000000002},null,null,null,{"$f":"ROW()","v":558}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Weekends",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,"Weekend and holidays average traffic levels as percent of weekday average (measured in 2007)",null,null,null,null,null,null,{"$f":"Weekends!V148","v":0.8505209452271516},null,null,{"$f":"ROW()","v":562}]
[null,"Calculated by comparing weekend to weekday volumes for Triborough Bridge (Manhattan-bound portion) and Queens Midtown Tunnel, provided by MTA Bridges & Tunnels, in two sample months (March and Sept 2007). These crossings were selected over other MTA crossings because they are the main crossings into Manhattan for which data were available. The two months were chosen more or less at random; other months probably would yield similar results.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":564}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,"Increment to 2007 percentage, to reflect presumed changes in travel patterns to 2015",null,null,null,null,null,null,{"$f":"Weekends!V150","v":0},null,null,{"$f":"ROW()","v":567}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":568}]
[null,"Weekend and holidays average traffic levels as percent of weekday average (estimated for 2015)",null,null,null,null,null,null,{"$f":"Weekends!V154","v":0.8505209452271516},null,null,{"$f":"ROW()","v":569}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L562, \" and \",L567, \", but taken from 'Weekend' tab, Row \",Weekends!X154, \".\")","v":"Sum of Rows 562 and 567, but taken from 'Weekend' tab, Row 154."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":571}]
[null,"Speed-Volume, Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":572}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,"Following is the equation we use to calculate relative speeds within the Manhattan CBD:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574}]
[null,"S = 22.183 / [1 + 0.1*(V/VK)4.00] ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,"where S = speed, V = vehicle volume (in CBD vehicle miles traveled per hour) and VK is a situation-specific parameter, whose value is calculated in the Speed-Vol., Cordon worksheet through a trial-and-error process that causes the weighted averages of calculated CBD weekday speeds during 6 am - 6 pm to equal 9.5 mph (the figure inferred by NYCDOT from GPS readings on medallion taxis), and for the 5-6 am speed to be reasonably close to the 16 mph speed similarly inferred by DOT.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":579}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,"The worksheet provides the empirical basis and mathematical derivation of the equation, along with a graph.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":582}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":583}]
[null,"Speed-Volume, non-Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":584}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":585}]
[null,"Following is the equation we use to calculate relative speeds outside of (on the approaches to) the Manhattan CBD:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586}]
[null,"S = 130.63 * e ^ (-0.0225 * V / 38,372)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587}]
[null,"where S = speed, V = vehicle volume (in vehicle miles traveled per hour by (i) motor vehicles bound to (or from) the CBD, and (ii) other motor vehicles operating on the same roads) and 38,372 is a constant whose value we calculate, in the Speed-Vol., non-Cordon worksheet, through a trial-and-error process to solve for the constant that causes the weighted averages of non-CBD speeds that are calculated from the equation above to equal 18.22 mph: the figure calculated in the VMT worksheet for the boroughs and counties surrounding the Manhattan CBD (from 6 am - 6 pm) in the PlaNYC report.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":588}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":589}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":591}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,"The worksheet provides the empirical basis and mathematical derivation of the equation, along with a graph.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":594}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":595}]
[null,"VMT",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":596}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":597}]
[null,"NYC vehicle miles traveled (VMT), thousands of miles a year",null,null,null,null,null,null,{"$f":"VMT!E62","v":19769551.730612215},null,null,{"$f":"ROW()","v":598}]
[null,{"$f":"CONCATENATE(\"See 'VMT' worksheet, Rows \",VMT!O53, \"-\",VMT!O65, \" for derivation and documentation.\")","v":"See 'VMT' worksheet, Rows 53-65 for derivation and documentation."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":599}]
[null,"Autos' share of NYC VMT",null,null,null,null,null,null,{"$f":"VMT!G67","v":0.91},null,null,{"$f":"ROW()","v":600}]
[null,"Source: Schaller, \"City in Flux,\" 2007, p. 5: \"Autos account for an estimated 75% of vehicle miles traveled in the five boroughs.\" ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":601}]
[null,{"$f":"VMT!B272","v":"Percent of cordon-bound vehicle trips made by NYC residents (pertains to \"into\" + \"thru\" CBD trips alike)"},null,null,null,null,null,null,{"$f":"VMT!J272","v":0.56813330103355397},null,null,{"$f":"ROW()","v":602}]
[null,{"$f":"CONCATENATE(\"Appears in 'VMT' tab, Row \",VMT!O272, \", but is derived in 'Incidence' tab, Row \",Incidence!AA209, \".\")","v":"Appears in 'VMT' tab, Row 272, but is derived in 'Incidence' tab, Row 209."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,{"$f":"VMT!B274","v":"Percent of VMT occurring within city limits, for cordon-bound vehicle trips made by NYC residents "},null,null,null,null,null,null,{"$f":"VMT!J274","v":0.9},null,null,{"$f":"ROW()","v":604}]
[null,{"$f":"VMT!B276","v":"Percent of cordon-bound vehicle trips made by non-NYC residents"},null,null,null,null,null,null,{"$f":"VMT!J276","v":0.43186669896644603},null,null,{"$f":"ROW()","v":605}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",L602, \" here.\")","v":"Complement of Row 602 here."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":606}]
[null,{"$f":"VMT!B278","v":"Percent of VMT occurring within city limits, for cordon-bound vehicle trips made by non-NYC residents "},null,null,null,null,null,null,{"$f":"VMT!J278","v":0.6},null,null,{"$f":"ROW()","v":607}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, appears in 'VMT' tab, Row \",VMT!O278, \".\")","v":"Komanoff assumption, appears in 'VMT' tab, Row 278."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":608}]
[null,{"$f":"VMT!B280","v":"Percent of outside-cordon VMT in all cordon-bound vehicle trips that occurs within the city limits"},null,null,null,null,null,null,{"$f":"VMT!J280","v":0.77043999031006616},null,null,{"$f":"ROW()","v":609}]
[null,{"$f":"CONCATENATE(\"Figures in Rows \",L602, \"-\",L607, \" are specified and justified in 'VMT' worksheet, Rows \",VMT!O273, \"-\",VMT!O279, \". Figure in Row \",L609, \" here follows algebraically from the preceding four.\")","v":"Figures in Rows 602-607 are specified and justified in 'VMT' worksheet, Rows 273-279. Figure in Row 609 here follows algebraically from the preceding four."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":612}]
[null,"Elasticities",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":613}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":614}]
[null,{"$f":"CONCATENATE(\"Auto elasticities (including taxicabs) are shown and referenced in Rows \",L195, \"-\",L200, \", above.\")","v":"Auto elasticities (including taxicabs) are shown and referenced in Rows 195-200, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":615}]
[null,{"$f":"CONCATENATE(\"Time-of-travel-switching elasticities are shown and referenced in Rows \",L209, \"-\",L216, \", above.\")","v":"Time-of-travel-switching elasticities are shown and referenced in Rows 209-216, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616}]
[null,{"$f":"CONCATENATE(\"Transit elasticities are shown and referenced in Rows \",L440, \"-\",L446, \", above.\")","v":"Transit elasticities are shown and referenced in Rows 440-446, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,{"$f":"CONCATENATE(\"Cross-elasticities (between modes) are shown and referenced in Rows \",L458, \"-\",L466, \", above.\")","v":"Cross-elasticities (between modes) are shown and referenced in Rows 458-466, above."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":618}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":619}]
[null,"Following are factors by which we adjust auto elasticities ",null,null,null,{"$f":"CONCATENATE(\"Komanoff assumptions. Shown in 'Elasticities', Rows \",Elasticities!O87, \"-\",Elasticities!O90, \".\")","v":"Komanoff assumptions. Shown in 'Elasticities', Rows 87-90."},null,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"Truck price-elasticity as a % of that for auto work trips",null,null,null,null,{"$f":"Elasticities!J87","v":0.33333333333333331},null,null,null,null,{"$f":"ROW()","v":621}]
[null,"Bus price-elasticity as a % of that for auto work trips",null,null,null,null,{"$f":"Elasticities!J88","v":0.2},null,null,null,null,{"$f":"ROW()","v":622}]
[null,"Truck time-elasticity as a % of that for auto work trips",null,null,null,null,{"$f":"Elasticities!J89","v":0.33333333333333331},null,null,null,null,{"$f":"ROW()","v":623}]
[null,"Bus time-elasticity as a % of that for auto work trips",null,null,null,null,{"$f":"Elasticities!J90","v":"NA"},"(subsumed in transit time-elasticity)",null,null,null,{"$f":"ROW()","v":624}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":625}]
[null,"Cordon",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":627}]
[null,"1. Capital Costs for Cordon-Tolling System",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":628}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":629}]
[null,"Estimated cost to design and install charging system ",null,null,null,null,null,null,{"$f":"Cordon!H9","v":258000000},null,null,{"$f":"ROW()","v":630}]
[null,{"$f":"CONCATENATE(\"Derived in 'Cordon' tab and shown there in Row \",Cordon!P9, \".\")","v":"Derived in 'Cordon' tab and shown there in Row 9."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":631}]
[null,"Number of Locations for our plan",null,null,null,null,null,{"$f":"CONCATENATE(\"Figures vary, depending on plan selected. Entries for different scenarios are shown in 'Cordon' tab, Rows \",Cordon!P74, \"-\",Cordon!P80, \", Cols I thru M.\")","v":"Figures vary, depending on plan selected. Entries for different scenarios are shown in 'Cordon' tab, Rows 74-80, Cols I thru M."},null,null,null,{"$f":"ROW()","v":632}]
[null,"Avenues (FDR, Sutton/York, 2nd, Lex, Park, 5th, 7th, CPW, B'way, Col., 11th Ave, WS Hwy)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"Bridges (2 ea. Manhattan + Qboro, 1 ea. Bklyn + Wburg; 8 for Harlem River bridges)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":634}]
[null,"Tunnels (Lincoln, Holland, Bklyn-Battery, Queens-Midtown)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":635}]
[null,"Total (rounded)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":636}]
[null,"Amortization period, years (Komanoff assumption)",null,null,null,null,null,null,{"$f":"Cordon!J95","v":5},null,null,{"$f":"ROW()","v":637}]
[null,{"$f":"CONCATENATE(\"Annualized capital cost (quotient of Rows \",L630, \" and \",L637, \")\")","v":"Annualized capital cost (quotient of Rows 630 and 637)"},null,null,null,null,null,null,{"$f":"Cordon!I8","v":51600000},null,null,{"$f":"ROW()","v":638}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639}]
[null,"2. Operating Costs for Cordon-Tolling System ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":640}]
[null,null,null,null,null,null,null,null,"Weekdays","Wkend/Holiday",null,{"$f":"ROW()","v":641}]
[null,"Daily Vehicle Entries to CBD to be tolled",null,null,null,null,null,null,"Figures vary, depending on plan selected.",null,null,{"$f":"ROW()","v":642}]
[null,"Percent using E-ZPass, weekdays (Komanoff assumption, based on assumptions shown in 'Cordon' tab)",null,null,null,null,null,null,{"$f":"Cordon!J110","v":0.95},null,null,{"$f":"ROW()","v":643}]
[null,{"$f":"CONCATENATE(\"Copied from 'Cordon' tab, Row \",Cordon!P109, \".\")","v":"Copied from 'Cordon' tab, Row 109."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":644}]
[null,"Charging Costs per transaction",null,null,{"$f":"Cordon!B104","v":"E-ZPass Transaction Cost"},{"$f":"Cordon!B105","v":"LPR Transaction Cost using OCR"},{"$f":"Cordon!B106","v":"LPR Transaction Cost using Manual Review"},null,null,null,null,{"$f":"ROW()","v":645}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":646}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":647}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,null,null,null,{"$f":"Cordon!J104","v":0.18166145788118182},{"$f":"Cordon!J105","v":0.54498437364354535},{"$f":"Cordon!J106","v":0.69031353994849076},null,null,null,null,{"$f":"ROW()","v":649}]
[null,null,null,null,{"$f":"CONCATENATE(\"See 'Cordon' worksheet, Rows \",Cordon!P104, \"-\",Cordon!P106, \".\")","v":"See 'Cordon' worksheet, Rows 104-106."},null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,"Charging costs per year w/ E-ZPass",null,null,null,null,null,{"$f":"CONCATENATE(\"Figures vary, depending on plan selected. Entries for different scenarios are shown in 'Cordon' tab, Rows \",Cordon!P74, \"-\",Cordon!P80, \", Cols I thru M.\")","v":"Figures vary, depending on plan selected. Entries for different scenarios are shown in 'Cordon' tab, Rows 74-80, Cols I thru M."},null,null,null,{"$f":"ROW()","v":651}]
[null,"Charging costs per year w/ LPR using OCR",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":652}]
[null,"Charging costs per year w/ LPR using Manual Review",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":653}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654}]
[null,"4. Spatial Calculations",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":656}]
[null,"The total volume (acreage) of street space in the CBD influences BTA results through the input parameter that specifies the amount of street space (if any) to be \"taken from service\" by motor vehicles as an ancillary benefit that could be provided under congestion pricing. ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":657}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":658}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":659}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":660}]
[null,{"$f":"CONCATENATE(\"The BTA processes that parameter as a % of total current street space available for vehicles (see 'Motor Vs' worksheet, Row \",'Motor Vs'!O479, \").\")","v":"The BTA processes that parameter as a % of total current street space available for vehicles (see 'Motor Vs' worksheet, Row 479)."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":661}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":662}]
[null,"Times Square is used in the BTA as a useful \"metric\": the Policy Levers worksheet allows the user to specify the \"number of Times Squares worth of space\" to be removed from the traffic stream.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":663}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":664}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":665}]
[null,"Times Square defined: Times Square is a major intersection in Manhattan, New York City at the junction of Broadway and Seventh Avenue and stretching from West 42nd to West 47th Streets (from Wikipedia).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":666}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":667}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":668}]
[null,"Times Square acreage",null,null,null,null,null,null,{"$f":"Cordon!F292","v":4.2231022344658715},null,null,{"$f":"ROW()","v":669}]
[null,{"$f":"CONCATENATE(\"Calculated through detailed measurements memorialized in 'Cordon' worksheet and shown there in Row \",Cordon!P292, \".\")","v":"Calculated through detailed measurements memorialized in 'Cordon' worksheet and shown there in Row 292."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":670}]
[null,"Acreage of street and road space in the Manhattan CBD",null,null,null,null,null,null,{"$f":"Cordon!G322","v":1260},null,null,{"$f":"ROW()","v":671}]
[null,{"$f":"CONCATENATE(\"Calculated through detailed measurements memorialized in 'Cordon' worksheet and shown there in Row \",Cordon!P322, \".\")","v":"Calculated through detailed measurements memorialized in 'Cordon' worksheet and shown there in Row 322."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":672}]
[null,"Times Square's acreage as % of street space in entire CBD",null,null,null,null,null,null,{"$f":"I669/I671","v":3.3516684400522788E-3},null,null,{"$f":"ROW()","v":673}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",L669, \" to Row \",L671, \".\")","v":"Ratio of Row 669 to Row 671."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":674}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":675}]
[null,"Emissions",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":676}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":677}]
[null,"In this worksheet, the BTA calculates changes in emissions of CO2, Total Organic Gases, Carbon Monoxide, Nitrogen Oxides, and PM10 that will result from a congestion toll and any related measures. Emissions will change due to changes in both VMT (vehicle miles traveled) and traffic speeds. The worksheet captures both phenomena.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":678}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":679}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":680}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":681}]
[null,"The worksheet calculates emissions of each of the five pollutants under (i) baseline conditions and (ii) with the pricing regime selected in the Results worksheet. Emissions are calculated by multiplying VMT for each time period by the emission factors applicable to the average speed for the period. Emission factors are calculated using the most recent (2007) edition of the California Air Resources Board's (CARB) EMission FACtors model, EMFAC2007.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":682}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":683}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":684}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":685}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":686}]
[null,"Calculations are done separately for light-duty vehicles (cars, including SUV's and taxicabs), trucks and buses, and per weekday or weekend day. The emission factors for each vehicle class are averages of a fairly wide range encompassing the different vehicle characteristics within each class; although it would be preferable to have the full distribution of speeds and the associated emissions, that degree of precision was beyond our scope. The resulting daily figures are converted to annual values, and the differences between baseline and pricing results are calculated.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":687}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":688}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":689}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":690}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":691}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":692}]
[null,"The emission factors are automatically \"looked up\" from emission curves specified in two related worksheets, EMFAC and Speed-CO2 (not shown here). Following are a handful of assumptions that were made in applyling those factors.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":693}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":694}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":695}]
[null,"Medium Truck (10,000 - 26,000 lbs) fuel consumption per mile, relative to light-duty vehicles",null,null,null,null,null,null,{"$f":"Emissions!V9","v":2.8860759493670884},null,null,{"$f":"ROW()","v":696}]
[null,"Bus fuel consumption per mile, relative to light-duty vehicles",null,null,null,null,null,null,{"$f":"Emissions!V13","v":3.1666666666666665},null,null,{"$f":"ROW()","v":697}]
[null,"Cordon fuel-inefficiency factor (due to more stop-and-go traffic within cordon than outside cordon)",null,null,null,null,null,null,{"$f":"Emissions!U15","v":1.1990049751243781},null,null,{"$f":"ROW()","v":698}]
[null,{"$f":"CONCATENATE(\"See 'Emissions' worksheet, Rows \",Emissions!AG4, \"-\",Emissions!AG16, \", for details.\")","v":"See 'Emissions' worksheet, Rows 4-16, for details."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":699}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":700}]
[null,"Parking",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":701}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":702}]
[null,{"$f":"CONCATENATE(\"The column of daily costs in Column I of the table below was used to guide the specification of parking costs that form a significant part of the total baseline costs of round-trip auto trips to the Manhattan CBD, appearing in Rows \",'Motor Vs'!O254, \"-\",'Motor Vs'!O268, \" of the 'Motor Vs' and 'Motor Vs Weekends' worksheeets.\")","v":"The column of daily costs in Column I of the table below was used to guide the specification of parking costs that form a significant part of the total baseline costs of round-trip auto trips to the Manhattan CBD, appearing in Rows 254-268 of the 'Motor Vs' and 'Motor Vs Weekends' worksheeets."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":703}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":704}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":705}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":706}]
[null,"That column, and associated column of parking \"shares,\" draws heavily on a March 1, 2007 report by Schaller Consulting for Transportation Alternatives, \"Free Parking, Congested Streets: The Skewed Economic Incentives to Drive in Manhattan.\" (Henceforth, Schaller 2007.) <http://www.transalt.org/files/newsroom/reports/freeparking_traffictrouble.pdf>",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":707}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":708}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":709}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":710}]
[null,null,null,null,null,"Schaller (early 2007)",null,"Komanoff (late 2008)",null,null,null,{"$f":"ROW()","v":711}]
[null,null,null,null,null,"Share of CBD commuters falling in this category","Daily parking cost for these commuters","Share of CBD commuters falling in this category","Daily parking cost for these commuters",null,null,{"$f":"ROW()","v":712}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":713}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":714}]
[null,"CBD car commutes, classified by parking situation",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":715}]
[null,"1. Pay to park in lot or garage",null,null,null,{"$f":"Parking!F33","v":0.38},{"$f":"Parking!G33","v":24.42},{"$f":"Parking!H33","v":0.3967906976744186},{"$f":"Parking!I33","v":25},null,null,{"$f":"ROW()","v":716}]
[null,"2. Park on street, pay via meter",null,null,null,{"$f":"Parking!F34","v":0.05},{"$f":"Parking!G34","v":1.73},{"$f":"Parking!H34","v":5.2209302325581394E-2},{"$f":"Parking!I34","v":2},null,null,{"$f":"ROW()","v":717}]
[null,"3. Parking is provided or reimbursed",null,null,null,{"$f":"Parking!F35","v":0.38},{"$f":"Parking!G35","v":0},{"$f":"Parking!H35","v":0.38},{"$f":"Parking!I35","v":5},null,null,{"$f":"ROW()","v":718}]
[null,"4. Park on street without paying ",null,null,null,{"$f":"Parking!F36","v":0.19},{"$f":"Parking!G36","v":0},{"$f":"Parking!H36","v":0.17100000000000001},{"$f":"Parking!I36","v":0},null,null,{"$f":"ROW()","v":719}]
[null,"Total",null,null,null,{"$f":"SUM(F716:F719)","v":1},{"$f":"SUMPRODUCT(F716:F719,G716:G719)","v":9.3660999999999994},{"$f":"SUM(H716:H719)","v":1},{"$f":"SUMPRODUCT(H716:H719,I716:I719)","v":11.924186046511627},null,null,{"$f":"ROW()","v":720}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":721}]
[null,"Assumed daily cost for \"parking provided or reimbursed,\" as a percent of cost for \"paid lot or garage\":",null,null,null,null,null,null,{"$f":"Parking!I52","v":0.2},null,null,{"$f":"ROW()","v":722}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":723}]
[null,"Source for Schaller: Schaller 2007, pp. 9-10. Note: his weighted avg of $8.89 (p. 10) is slightly less than total shown above.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":724}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":725}]
[null,"Source for Komanoff: Schaller's share for \"park on street w/o paying\" (#4) was reduced by one-tenth to reflect presumed decrease in placard parking by Bloomberg administration; change has been allocated proportionally to #1 and #2. Cost for #3, which Schaller counts as zero, is assumed to be a percentage of Schaller #1 cost, on premise that the party bankrolling \"free\" parking recognizes direct and/or opportunity cost of providing the space. (Percentage is shown in column I, directly below table, and is Komanoff assumption.) We also raised costs for #1 and #2 slightly to reflect 2008 conditions vs. 2006.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":726}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":727}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":728}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":729}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":730}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":731}]
[null,"Note: The wide variation in parking costs in the table produces a wide variation in total baseline driving costs in the Motor Vs and Motor Vs worksheets. The elasticity and other algorithms in those worksheets operate on the mean baseline cost; while it would have been preferable to operate on the actual distribution of costs, we believe that our methodology is an acceptable \"second-best.\"",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":732}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":733}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":734}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":735}]
[null,"Value of Time",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":736}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":737}]
[null,"Following are the assumptions and breakdowns by which we calculate the value of a \"vehicle-hour\" spent (stuck) in traffic within and outside of (on the approaches to) the Manhattan CBD.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":738}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":739}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":740}]
[null,"The figures here are only a subset of the more detailed derivation and presentation contained in the Value of Time worksheet.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":741}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":742}]
[null,null,null,null,null,"Within the Manhattan CBD",null,null,"Outside the Manhattan CBD",null,null,{"$f":"ROW()","v":743}]
[null,null,null,"# occupants besides driver",null,"VMT %","Value of a vehicle-hr",null,"VMT %","Value of a vehicle-hr",null,{"$f":"ROW()","v":744}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":745}]
[null,"Auto work-trip",null,{"$f":"'Value of Time'!I62","v":0.14999999999999991},null,{"$f":"'Value of Time'!L81","v":0.17347478042811526},{"$f":"'Value of Time'!L62","v":41.993080694170501},null,{"$f":"'Value of Time'!L117","v":0.38625396864929434},{"$f":"'Value of Time'!M117","v":27.995387129446996},null,{"$f":"ROW()","v":746}]
[null,"Auto non-work-trip",null,{"$f":"'Value of Time'!I63","v":0.5},null,{"$f":"'Value of Time'!L82","v":0.1396655217194922},{"$f":"'Value of Time'!L63","v":23.591618367511519},null,{"$f":"'Value of Time'!L118","v":0.27159284370688092},{"$f":"'Value of Time'!M118","v":15.727745578341011},null,{"$f":"ROW()","v":747}]
[null,"Auto thru-trip",null,{"$f":"'Value of Time'!I64","v":0.32499999999999996},null,{"$f":"'Value of Time'!L83","v":7.9158500167114135E-2},{"$f":"'Value of Time'!L64","v":34.060399018094749},null,{"$f":"'Value of Time'!L119","v":0.24386881051184955},{"$f":"'Value of Time'!M119","v":22.706932678729835},null,{"$f":"ROW()","v":748}]
[null,"Van or small truck",null,{"$f":"'Value of Time'!I65","v":"passngers are encompassed in figs to left"},null,{"$f":"'Value of Time'!L84","v":6.5761176981802727E-2},{"$f":"'Value of Time'!L65","v":75.493178776036856},null,{"$f":"'Value of Time'!L120","v":5.2279732786826447E-2},{"$f":"'Value of Time'!M120","v":67.943860898433172},null,{"$f":"ROW()","v":749}]
[null,"Large truck",null,{"$f":"'Value of Time'!I66","v":0},null,{"$f":"'Value of Time'!L85","v":7.7366090566826744E-3},{"$f":"'Value of Time'!L66","v":94.366473470046074},null,{"$f":"'Value of Time'!L121","v":6.1505567984501712E-3},{"$f":"'Value of Time'!M121","v":84.929826123041451},null,{"$f":"ROW()","v":750}]
[null,"Big Rig (18-wheeler)",null,{"$f":"'Value of Time'!I67","v":0},null,{"$f":"'Value of Time'!L86","v":3.8683045283413372E-3},{"$f":"'Value of Time'!L67","v":188.73294694009215},null,{"$f":"'Value of Time'!L122","v":3.0752783992250856E-3},{"$f":"'Value of Time'!M122","v":169.8596522460829},null,{"$f":"ROW()","v":751}]
[null,"Bus",null,{"$f":"'Value of Time'!I68","v":20},null,{"$f":"'Value of Time'!L87","v":2.363143443499803E-2},{"$f":"'Value of Time'!L68","v":264.22612571612899},null,{"$f":"'Value of Time'!L123","v":1.6718979440663688E-2},{"$f":"'Value of Time'!M123","v":188.73294694009212},null,{"$f":"ROW()","v":752}]
[null,"Medallion Taxi, occupied",null,{"$f":"'Value of Time'!I69","v":0.39999999999999991},null,{"$f":"'Value of Time'!L88","v":0.3546925708784176},{"$f":"'Value of Time'!L69","v":65.754558713928105},null,{"$f":"'Value of Time'!L124","v":1.4041880794766827E-2},{"$f":"'Value of Time'!M124","v":65.754558713928105},null,{"$f":"ROW()","v":753}]
[null,"Medallion Taxi, cruising",null,{"$f":"'Value of Time'!I70","v":0},null,{"$f":"'Value of Time'!L89","v":0.1520111018050361},{"$f":"'Value of Time'!L70","v":15.098635755207372},null,{"$f":"'Value of Time'!L125","v":6.017948912042926E-3},{"$f":"'Value of Time'!M125","v":15.098635755207372},null,{"$f":"ROW()","v":754}]
[null,"T O T A L",null,null,null,{"$f":"SUM(F746:F754)","v":1},{"$f":"'Value of Time'!M90","v":51.562375658789044},null,{"$f":"SUM(I746:I754)","v":0.99999999999999989},{"$f":"'Value of Time'!M126","v":29.388806276713776},null,{"$f":"ROW()","v":755}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":756}]
[null,"Sources",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":757}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":758}]
[null,"The key assumption underlying the table is the value of an hour of saved time for a NYC airline passenger, derived as follows:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":759}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":760}]
[null,"Value of an hour of saved time for airline passengers (nationwide median, 2008 $)",null,null,null,null,null,null,{"$f":"'Value of Time'!H29","v":62.910982313364045},null,null,{"$f":"ROW()","v":761}]
[null,{"$f":"CONCATENATE(\"Based on work at Brookings Institution, sourced and calculated in 'Value of Time' worksheet, Rows \",'Value of Time'!O25, \"-\",'Value of Time'!O42, \".\")","v":"Based on work at Brookings Institution, sourced and calculated in 'Value of Time' worksheet, Rows 25-42."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":762}]
[null,"Adjustment factor from national median to NYC",null,null,null,null,null,null,{"$f":"'Value of Time'!H53","v":1.2},null,null,{"$f":"ROW()","v":763}]
[null,{"$f":"CONCATENATE(\"See 'Value of Time' worksheet, Rows \",'Value of Time'!O46, \"-\",'Value of Time'!O52, \".\")","v":"See 'Value of Time' worksheet, Rows 46-52."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":764}]
[null,"Value of an hour of saved time for NYC-area airline passengers (median, 2008 $)",null,null,null,null,null,null,{"$f":"'Value of Time'!H54","v":75.493178776036856},null,null,{"$f":"ROW()","v":765}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",L761, \" and \",L763, \".\")","v":"Product of Rows 761 and 763."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":766}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":767}]
[null,{"$f":"CONCATENATE(\"The time of drivers and occupants in each vehicle category in the table in Rows \",L743, \"-\",L755, \" was then valued vis-à-vis the value of time for the NYC-area airline passenger shown in Row \",L765, \".\")","v":"The time of drivers and occupants in each vehicle category in the table in Rows 743-755 was then valued vis-à-vis the value of time for the NYC-area airline passenger shown in Row 765."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":768}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":769}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":770}]
[null,{"$f":"CONCATENATE(\"Our assumed relative value of time for drivers (relative to that of the NYC-area airline passenger in Row \",L765, \") ranges from \",'Value of Time'!F70,\" for the driver of an empty taxicab and \",'Value of Time'!F63, \" for an auto driver on a non-work trip, to \",'Value of Time'!F62, \" for an auto driver on a work trip and \",'Value of Time'!F69, \" for a taxi passenger. Lesser values are used for passengers or additional taxi riders, and values outside the CBD are generally taken as 2/3 of the corresponding value of time within. Weekend values are discounted by 40%.\")","v":"Our assumed relative value of time for drivers (relative to that of the NYC-area airline passenger in Row 765) ranges from 0.2 for the driver of an empty taxicab and 0.25 for an auto driver on a non-work trip, to 0.5 for an auto driver on a work trip and 0.67 for a taxi passenger. Lesser values are used for passengers or additional taxi riders, and values outside the CBD are generally taken as 2/3 of the corresponding value of time within. Weekend values are discounted by 40%."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":771}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":772}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":773}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":774}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":775}]
[null,"See Value of Time worksheet for further details.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":776}]

{"sheet":"Traffic-Pricing Plans","index":12,"n_rows":248,"n_cols":43,"rows_kept":248,"cut":false,"hidden":false,"merged":[[41,13,42,18],[188,1,189,7],[185,9,189,20],[46,1,47,11],[26,1,27,11],[70,7,73,7],[70,8,73,8],[70,9,73,9],[70,10,73,10],[37,1,38,11],[39,1,40,11],[87,7,88,8],[87,9,88,10],[92,15,94,16],[227,1,229,13],[54,1,56,6],[52,1,53,6],[53,7,56,7],[53,8,56,8],[53,9,56,9],[53,10,56,10],[90,1,91,6],[91,7,94,7],[91,8,94,8],[91,9,94,9],[91,10,94,10],[92,1,94,6],[92,12,94,13],[102,12,102,13],[17,1,19,11],[12,1,14,11],[21,1,22,11],[70,1,74,5],[81,1,82,11]]}
[null,"Traffic-Pricing Plans",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[null,"This tab summarizes the Move NY and Fix NYC congestion pricing traffic plans."]
[]
[null,"Click here for visuals summarizing the Move NY plan(s)."]
[null,"Click here for visuals summarizing the Fix NYC plan(s)."]
[null,"Click here for links to articles by Komanoff and others in Streetsblog making the case for congestion pricing for NYC."]
[]
[null,{"$f":"CONCATENATE(\"At this writing, on \",TEXT(L1, \"mm-dd-yyyy\"),\", two plans -- two *sets* of plans, actually -- dominate public discussion of congestion pricing for NYC.\")","v":"At this writing, on 09-15-2019, two plans -- two *sets* of plans, actually -- dominate public discussion of congestion pricing for NYC."}]
[]
[null,"1. Move NY"]
[null,"One set of plans, called Move NY, was crafted by renowned traffic engineer (and former NYC Traffic Commissioner) Sam Schwartz. Two variations on that plan are \"packaged\" in the BTA: a plan with flat tolls (a single cordon toll, 24-7-365), and a variable-toll plan with premium tolls during peak hours and lower tolls in off-peak, designed to be revenue-equivalent to the flat-toll plan.\n"]
[]
[]
[]
[null,"2. Fix NYC"]
[null,"The other set, Fix NYC, was propounded by the Fix NYC task force assembled by NY Governor Andrew Cuomo in late 2017. The task force report, published in Jan. 2017 (and available via this link: http://www.hntb.com/HNTB/media/HNTBMediaLibrary/Home/Fix-NYC-Panel-Report.pdf), actually consists of 126 toll and surcharge combinations (since there are 3 cordon-toll options and 42 for-hire vehicle -- taxis and Ubers -- surcharge options)."]
[]
[]
[]
[null,"From those 126 possible Fix NYC combinations, I selected three that I deemed representative of the range of Fix NYC options: I call them the Fix NYC lower-range plan, the Fix NYC higher-range plan, and the Fix NYC turbo-charged. The three are packaged in the BTA, alongside the two Move NY variations noted directly above."]
[]
[]
[null,"Key similarities between Move NY and Fix NYC"]
[null,"▪ Both (sets of) plans create a digital cordon encompassing Manhattan Island south of 60th Street, which drivers of cars and trucks pay to enter."]
[null,"▪ Both plans exempt for-hire vehicles (taxis, Ubers, etc.) from the cordon fee but charge FHV's for travel within the \"Manhattan taxi zone,\" which ranges at least to 60th Street and perhaps as far north as 110th St (West side) and 96th St (East side)."]
[]
[null,"▪ Both sets of plans have higher cordon tolls and FHV surcharges during peak hours (the exception being the Move NY flat toll plan)."]
[null,"▪ Both sets of plans have a \"top\" cordon toll of $11.52 round-trip, matching the toll on the MTA's four \"major\" bridges."]
[null,"▪ Both sets of plans charge vehicles for only one round-trip per day into the cordon zone."]
[null,"▪ Both sets of plans propose allocating the lion's share of net revenues to capital improvements that enhance subway service."]
[null,"▪ Both sets of plans pledge to provide transportation enhancements in the city's \"transit deserts\" -- sections of the boroughs poorly served by subways."]
[]
[null,"Key differences between Move NY and Fix NYC"]
[null,"▪ Fix NYC lets drivers using the East River bridges circumvent the cordon toll by exiting directly onto the northbound FDR and remaining until at least East 63rd Street."]
[null,"▪ Cordon tolls are higher and generate more revenue in the Move NY plans, though there is wide variation among the cordon toll levels in the Fix NYC plans."]
[null,"▪ FHV surcharges in the Move NY plans are based on miles and minutes driven within the Manhattan taxi zone, whereas in Fix NYC the FHV surcharges are levied entirely within the \"drop\" and thus do not vary with time and distance traveled."]
[]
[null,"▪ Move NY reduces tolls on the seven MTA bridges by $2.50 in each direction (for the major bridges) and $1.00 (minor bridges). The funds to reduce these charges are provided, in effect, by the higher cordon tolls under the Move NY plans."]
[]
[null,"▪ Move NY charges an effective half-round-trip cordon toll ($5.76) in each direction, whereas Fix NYC charges the full round-trip rate ($11.52) inbound only.",null,null,null,null,null,null,null,null,null,null,null,"Map is copied from Fix NYC report. In Move NY plan, surcharges on for-hire vehicle trips extend to 110th Street on the west side."]
[null,"▪ Move NY charges trucks on a sliding scale based on the number of axles, whereas Fix NYC charges all trucks at a uniform rate (which is 2.2x the auto rate)."]
[null,"▪ Move NY allocates one-fourth of net toll and surcharge revenues to (largely unspecified) enhancements of the city's roads and bridges."]
[]
[null,"Comparison of benefits and impacts of the Move NY and Fix NYC plans"]
[null,"The table below was generated for my Streetsblog post of Jan. 23, 2018: The Fix NYC Congestion Pricing Plan Looks Solid — If Cuomo Aims High (https://nyc.streetsblog.org/2018/01/23/the-fix-nyc-congestion-pricing-plan-looks-solid-if-cuomo-aims-high/). The Move NY flat-toll plan was excluded, for concision.",null,null,null,null,null,null,null,null,null,null,null,"Shown below: cover of Fix NYC report. Here's link to download:"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"http://www.hntb.com/HNTB/media/HNTBMediaLibrary/Home/Fix-NYC-Panel-Report.pdf"]
[]
[]
[null,null,"Three Fix NYC Scenarios compared with each other and with Move NY Plan (with variable tolls)"]
[]
[null,"                                           Scenario                                                                         (not included here: #1, Baseline. #5, Move NY Plan w/ flat $11.52 toll)",null,null,null,null,null,2,3,4,6]
[null,null,null,null,null,null,null,"Fix NYC\nlower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan w Variable Tolls"]
[null,"All figures in table except Row A count benefits from investing most\nof the immediately available net revenues in improved subway service."]
[]
[]
[null,"A. Immediate ∆ in CBD vehicle speeds weekdays 6am-6pm",null,null,null,null,null,8.0519999999999994E-2,0.11253000000000001,0.1046,0.1366]
[null,"B. Same as above, some years out (w/ transit investments)",null,null,null,null,null,0.11799999999999999,0.19800000000000001,0.184,0.20305071733332158]
[null,"C. Annual net revenue available to improve travel",null,null,null,null,null,1000000000,1740000000,1700000000,1530000000]
[null,"D. Manhattan residents' share of new tolls + surcharges ",null,null,null,null,null,0.187,0.32200000000000001,0.23400000000000001,0.28517249684092627]
[null,"E. Predicted annual net benefit",null,null,null,null,null,1790000000,3170000000,3080000000,2720000000]
[null,"F. Daily traveler time savings (hours)",null,null,null,null,null,276000,514000,490000,493000]
[]
[null,"Scenario numbers at top of columns correspond to scenarios programmed into the BTA. Not included here are Baseline scenario (#1) and Move NY Plan with Flat Toll (#5). "]
[null,"Figs are hard-wired rather than linked because they can't be active in model at same time. Current results may be slightly different, due to ongoing evolution of the BTA."]
[null,"Figs for Rows B-F were modeled assuming respective annual investments (in millions) of $550, $1,300, $1,200, and $1,000."]
[]
[]
[null,"\"Time Coverage\" under the various Fix NYC Plans",null,null,null,null,null,2,3,4,6]
[null,{"$f":"CONCATENATE(\"Percentages of hours are calculated by multiplying number of hours of coverage (14 weekday hours for both lower-range and higher-range Fix NYC plans, plus 10 weekend/holiday hours for higher-range plan) by respective numbers \" &\"of weekdays and weekend/holidays in year, from Constants tab. Percentages of trips factors those numbers by # of inbound trips in each time period, from Row \",'Motor Vs'!O139, \" of 'Motor Vs' and 'Motor Vs Weekend' tabs.\")","v":"Percentages of hours are calculated by multiplying number of hours of coverage (14 weekday hours for both lower-range and higher-range Fix NYC plans, plus 10 weekend/holiday hours for higher-range plan) by respective numbers of weekdays and weekend/holidays in year, from Constants tab. Percentages of trips factors those numbers by # of inbound trips in each time period, from Row 139 of 'Motor Vs' and 'Motor Vs Weekend' tabs."},null,null,null,null,null,"Fix NYC\nlower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan w Variable Tolls"]
[]
[]
[]
[]
[null,"Percent of hours in which at least some cordon toll is charged",null,null,null,null,null,{"$f":"14*weekday_per_yr/8760","v":0.3995433789954338},{"$f":"(14*weekday_per_yr+10*wkend_per_yr)/8760","v":0.53082191780821919},1,1]
[]
[null,"Percent of inbound trips for which at least some cordon toll is charged",null,null,null,null,null,{"$f":"SUM('Motor Vs'!I139:L139)*weekday_per_yr/('Motor Vs'!N139*weekday_per_yr+'Motor Vs Weekends'!N139*wkend_per_yr)","v":0.53993212585899553},{"$f":"(SUM('Motor Vs'!I139:L139)*weekday_per_yr+SUM('Motor Vs Weekends'!I139:K139)*wkend_per_yr)/('Motor Vs'!N139*weekday_per_yr+'Motor Vs Weekends'!N139*wkend_per_yr)","v":0.7022885017666729},1,1]
[]
[]
[null,"Comparison of Move NY and Fix NYC plans with and without cordon tolling"]
[null,"The table below was generated for my Streetsblog post of Feb. 22, 2018: The Cost of Cold Feet: No Cordon Toll Means Kissing Most Congestion Pricing Benefits Goodbye (https://nyc.streetsblog.org/2018/02/22/the-cost-of-cold-feet-no-cordon-toll-means-kissing-most-congestion-pricing-benefits-goodbye/)."]
[]
[]
[]
[null,null,null,"Removing cordon tolls cuts the benefits from Fix NYC by 60 percent or more"]
[]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario 2 benefits average \",ROUND(100*M104,0), \"% less than Scenario 1.\")","v":"Scenario 2 benefits average 72% less than Scenario 1."},null,{"$f":"CONCATENATE(\"Scenario 4 benefits average \",ROUND(100*N104,0), \"% less than Scenario 3.\")","v":"Scenario 4 benefits average 60% less than Scenario 3."}]
[]
[]
[null,null,null,null,null,null,null,1,2,3,4]
[null,null,null,null,null,null,null,"Fix NYC lower-range plan, complete","Same as #1 but with no\ncordon tolls","Fix NYC higher-range plan, complete","Same as #3 but with no\ncordon tolls"]
[null,"All figures in table except Row A count the benefits from investing most\nof the immediately available net revenues in improved subway service.",null,null,null,null,null,null,null,null,null,null,"%'s below denote the extent to which Col 2 & 4 entries are less than Col 1 & 2",null,null,"#'s below denote the extent to which Col 1 & 3 entries are multiples of Col 2 & 4"]
[]
[]
[null,"A. Immediate gain in CBD vehicle speeds wkdays 6am-6pm",null,null,null,null,null,8.0281888269108301E-2,1.7060666551631999E-2,0.12769416994413799,4.5722158408744801E-2,null,{"$f":"1-I96/H96","v":0.78749046740849038},{"$f":"1-K96/J96","v":0.64194012593725502},null,{"$f":"H96/I96","v":4.705671260038117},{"$f":"J96/K96","v":2.7928289999475453}]
[null,"B. Same as above, some years out (w/ transit investments)",null,null,null,null,null,0.117673079709669,3.3882222430428703E-2,0.19755449504668399,8.6281656908063595E-2,null,{"$f":"1-I97/H97","v":0.71206479413961787},{"$f":"1-K97/J97","v":0.56325136065532488},null,{"$f":"H97/I97","v":3.4730035773565433},{"$f":"J97/K97","v":2.2896465149850549}]
[null,"C. Annual net revenue available to improve travel",null,null,null,null,null,1050000000,260000000,1780000000,720000000,null,{"$f":"1-I98/H98","v":0.75238095238095237},{"$f":"1-K98/J98","v":0.5955056179775281}]
[null,"D. Predicted annual net benefit",null,null,null,null,null,1940000000,620000000,3290000000,1370000000,null,{"$f":"1-I99/H99","v":0.68041237113402064},{"$f":"1-K99/J99","v":0.58358662613981771}]
[null,"E. Daily traveler time savings (hours)",null,null,null,null,null,277000,91000,514000,210000,null,{"$f":"1-I100/H100","v":0.67148014440433212},{"$f":"1-K100/J100","v":0.59143968871595332}]
[]
[null,"All figures except Row A take credit for the fruits of transit investment from the congestion revenues."]
[null,"Figs for Row B were modeled assuming respective annual investments in transit (in millions) of $550, $250, $1,300 and $600.",null,null,null,null,null,null,null,null,null,null,"Column averages"]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(M96:M100)","v":0.72076574589348275},{"$f":"AVERAGE(N96:N100)","v":0.59514468388517583}]
[null,"Figs are hard-wired rather than linked because they can't be active in model at same time. Current results may be slightly different, due to ongoing evolution of the BTA."]
[]
[]
[null,"Move NY plan, illustrated"]
[]
[null,"Map depicts toll reductions on MTA bridges along with new toll to drive into and out of Manhattan CBD.",null,null,null,null,null,null,null,"Side-by-side comparison contrasts Move NY plan (w/ flat toll) with Bloomberg congestion pricing proposal from 2007-08."]
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[null,"Fix NYC Plans, illustrated"]
[]
[null,"Cordon toll options from the Fix NYC report",null,null,null,null,null,null,null,"For-hire vehicle (taxis, Ubers, etc.) surcharge options from the Fix NYC report"]
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[null,null,null,null,null,null,null,null,null,"Fig 9 from Fix NYC report embodies 42 options for charging for-hire vehicles (yellow taxis, Ubers, Lyfts, etc.), based on the 7x6 matrix. We selected three, which we assigned to the cordon-toll options shown in Fig. 12, at left. For the lower-price plan, we assumed the $2.00 fee charged in the hours shown in the cell annotated with the blue-ink circle. For the turbo-charged, we assumed the range of prices and hours corresponding to the cell annotated with the green-ink circle. For the higher-price plan, we assumed the $5.00 and $3.00 charges charged in the hours shown in the cell annotated with the red-ink circle. Note that we made our own calculations of revenues for each plan, using the Taxis and UberLyft tabs in the BTA. Go to the Policy Levers tab to see the inputs we used to simulate the Fix NYC modeling for-hire vehicles in the respective scenarios "]
[]
[]
[null,"Fig 12 from Fix NYC report illustrates three cordon-toll options. They correspond to the lower-price, higher-price and turbo-chargeds outlined above and packaged into the BTA."]
[]
[]
[]
[]
[null,"Streetsblog posts about the Move NY Plan ",null,null,null,"Posts are by C. Komanoff except where noted",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"N",{"$f":"'Policy Levers'!E40","v":0},{"$f":"'Policy Levers'!F40","v":0},{"$f":"'Policy Levers'!G40","v":12.24},{"$f":"'Policy Levers'!H40","v":6.12},{"$f":"'Policy Levers'!I40","v":6.12},{"$f":"'Policy Levers'!J40","v":6}]
[]
[null,"May 29, 2018:","Eight Reasons Why Congestion Pricing Goes Great With the Fast Forward Plan to Fix NYC Transit"]
[null,"May 1, 2018:","A Better Taxi Surcharge: More Congestion Reduction, Less Pain for Cab Drivers"]
[null,"April 10, 2018:","Setting Up a Cordon Toll Would Pay for Itself in a Few Months"]
[null,"April 3, 2018:","Albany Didn’t Even Get the Taxi Fees Right"]
[null,"March 21, 2018:","Manhattan Congestion is Too Intense to Fix With an Uber Charge Alone "]
[null,"March 7, 2018:","An Hourly Fee on Cabs and Ubers Is Less Radical Than It Appears"]
[null,"Feb 22, 2018:","The Cost of Cold Feet: No Cordon Toll Means Kissing Most Congestion Pricing Benefits Goodbye"]
[null,"Feb 14, 2018:","Broad Business-Labor Coalition Ready to Back Congestion Pricing If Cuomo Releases a Strong Plan",null,null,null,null,null,"by David Meyer"]
[null,"Feb 8, 2018:","Jo Anne Simon on Congestion Pricing: We Can Do This",null,null,null,null,null,"by David Meyer","(a legislator talks about congestion pricing with cogency and empathy)"]
[null,"Feb 6, 2018:","De Blasio Sounds Ready to Negotiate on Congestion Pricing",null,null,null,null,null,"by David Meyer"]
[null,"Jan 30, 2018:","Corey Johnson Calls on Albany to Pass Congestion Pricing “This Year, This Session”",null,null,null,null,null,"by David Meyer","(the new speaker of the NYC Council lays it on the line for congestion pricing)"]
[null,"Jan 23, 2018:","The Fix NYC Congestion Pricing Plan Looks Solid — If Cuomo Aims High"]
[null,"Jan 12, 2018:","Congestion Pricing Will Help Stop Climate Change — But Differently Than You Think"]
[null,"Jan 2, 2018:","Why Congestion Pricing Won’t Overwhelm the Subways"]
[null,"Dec 5, 2017:","London Traffic Would Be At Least 20 Percent Slower Without Congestion Pricing"]
[null,"Aug 14, 2017:","De Blasio Is Wrong — There’s a Congestion Pricing Plan That Affects All Boroughs Fairly"]
[null,"July 6, 2017:","Top Legal Expert Concludes NYC Has Power to Toll Its Own Roads and Bridges"]
[null,"June 7, 2017:","No, Traffic Congestion Is Not “Self-Correcting”"]
[null,"June 5, 2017:","Move NY Campaign Says Toll Reform Can Bypass Albany — Is City Hall Listening?"]
[null,"Aug 10, 2016:","Tolling Opens Up Possibilities for Better Brooklyn Bridge Walking and Biking "]
[null,"June 1, 2016:","New York Can’t Afford to Put Off the Move NY Plan Any Longer"]
[null,"March 9, 2016:","Street Safety Benefits of Congestion Charging Are Bigger Than We Thought"]
[null,"Jan 4, 2016:","Newsday Endorses Move NY for 2016, While the Times Misses Its Chance"]
[null,"Aug 12, 2015:","The Link Between Bridge Toll Dysfunction and Unsafe Streets"]
[null,"May 12, 2015: ","How Much Will Fares Rise Without Closing the MTA Capital Plan Gap? Try 25%",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"D",{"$f":"'Policy Levers'!E39","v":0},{"$f":"'Policy Levers'!F39","v":0},{"$f":"'Policy Levers'!G39","v":12.24},{"$f":"'Policy Levers'!H39","v":6.12},{"$f":"'Policy Levers'!I39","v":6.12},{"$f":"'Policy Levers'!J39","v":6}]
[null,"April 22, 2015:","13 State and City Elected Officials Sign On to Move NY Toll Reform",null,null,null,null,null,"by Stephen Miller"]
[null,"Feb 17, 2015:","The Complete Guide to the Final Move NY Plan",null,null,null,null,null,"by Stephen Miller"]
[null,"Feb 17, 2015:","The Politics of NYC Toll Reform -- What's Different This Time",null,null,null,null,null,"by Stephen Miller"]
[null,"Oct 7, 2014: ","Fair Tolls: Fixing NYC’s Gridlock and Transit Shortfall in One Fell Swoop",null,null,null,null,null,null,"(Toll fairness is key to solving mass transit's chronic funding woes and cutting down on lethal traffic congestion)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"S",{"$f":"'Policy Levers'!E38","v":0},{"$f":"'Policy Levers'!F38","v":0},{"$f":"'Policy Levers'!G38","v":0},{"$f":"'Policy Levers'!H38","v":2.75},{"$f":"'Policy Levers'!I38","v":6.12},{"$f":"'Policy Levers'!J38","v":2.75}]
[null,"May 16, 2012: ","Traffic-Pricing is Evolving … Can Its Opponents?",null,null,null,null,null,null,"(Appeal to a former legislator to rethink his opposition to traffic pricing and support the Move NY - Sam Schwartz toll-rebalancing plan)"]
[null,"May 3, 2012: ","Why Gridlock Sam’s Traffic Plan Could Go the Distance",null,null,null,null,null,null,"(Reviews extensive, favorable press coverage of Sam Schwartz's traffic-toll plan in early 2012. Has links to profiles of Sam and his plan by Bill Keller (NYT former top editor), Crain's NY, WSJ, NY Observer, and other major outlets)"]
[null,"March 26, 2012:","The Greater Good of Bike Tolls",null,null,null,null,null,null,"(A look at a controversial (if peripheral) element of the Move NY - Sam Schwartz Plan, and a \"greater good\" appeal to cycle advocates and others)"]
[null,"Other plans advanced by C. Komanoff during 2008-2010 included the Kheel-Komanoff Plan, the Kheel Plan, Kheel Plan II, and an MTA Rescue Plan. These plans are no longer fully supported by the BTA, because of changes in key baseline conditions (traffic levels, transit fares, toll levels). They did, however, generate media interest and were also described in articles and reports by C. Komanoff. Here's a fairly complete list:"]
[]
[]
[null,"Links pertaining to the Kheel-Komanoff Plan (all are from 2009)"]
[null,"for a March fact sheet on the plan: <http://nnyn.org/kheelplan/Free%20Transit%20Plan%20Fact%20Sheet%20_%20March%202009.pdf>"]
[null,"for a March 13 Newsday article: <http://www.newsday.com/news/opinion/oped/ny-opkhe136067115mar13,0,4278279.story>"]
[null,"for a March 10 Streetsblog article: <http://www.streetsblog.org/2009/03/10/beyond-ravitch-still-time-for-a-bolder-plan/>"]
[null,"for a Feb. Gotham Gazette article: <http://www.gothamgazette.com/article/fea/20090209/202/2821>"]
[null,"for a Jan. Grist article: <http://gristmill.grist.org/story/2009/1/6/134612/6720>"]
[null,"for the NNYN Web page summarizing the plan: <http://www.nnyn.org/kheelplan/kheel_komanoff_plan.html>"]
[null,"Links pertaining to the original Kheel Plan"]
[null,"for the \"Bolder Plan\" report: <http://www.nnyn.org/kheelplan/Full%20Kheel%20Report%20for%20web%20_%2023%20Jan%202008.pdf>"]
[null,"for a Feb. 2008 article in Grist about the plan: <http://gristmill.grist.org/story/2008/2/11/64835/1733>"]
[null,"for the BTA 1.0 spreadsheet: <http://www.nnyn.org/BTA%20_%2024%20Jan%202008.xls>"]
[null,"for the NNYN Web page with these and other links: <http://www.nnyn.org/kheelplan/kheel_plan1.html>"]
[null,"Links pertaining to the Kheel II Plan"]
[null,"for the NNYN press release announcing the Kheel II Plan: <http://www.nnyn.org/kheelplan/kheel_plan_release.html>"]
[null,"for the NNYN Web page summarizing the plan: <http://www.nnyn.org/kheelplan/kheel_plan2.html>"]
[null,"Links pertaining to the MTA Rescue Plan (both are from 2009)"]
[null,"a May 7 Streetsblog article: <http://www.streetsblog.org/2009/05/07/albanys-choice-or-ours/>"]
[null,"an April 16, 2009 Streetsblog article: <http://www.streetsblog.org/2009/04/16/needed-a-better-way-to-sweeten-the-ravitch-plan/>"]

{"sheet":"BdB's Plan","index":13,"n_rows":201,"n_cols":15,"rows_kept":201,"cut":false,"hidden":false,"merged":[[78,1,79,7],[10,1,15,9],[33,1,36,7],[38,1,39,7],[43,1,44,7]]}
[null,"Bill de Blasio's Plan",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet quantifies potential time savings from Mayor de Blasio's new traffic-control measures announced in Oct. 2017.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"It centers on one of five baskets of measures in the mayor's announcement: the \"clear streets\" initiative targeting 11 crosstown streets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Quantification of that measure or measures follows directly below. The text of the mayor's announcement is appended at the very bottom.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"1. Clear Lanes:  Keeping Traffic Moving in Manhattan’s CBDs  ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"To address congestion in the core of Midtown, the City will create continuous curb moving lanes during busy times on 11 key crosstown streets. Deliveries will generally be permitted on one side of the street, while the other curb will be signed for no standing from 6 am to 7 pm.  To enforce these Clear Lanes, the NYPD will double the Traffic Enforcement Agents (TEAs) in the Midtown Manhattan Traffic Enforcement Task Force from 40 to 80 and increase uniform headcount by 110 officers. These officers will focus on moving and parking violations, double parking, and off-route trucks. The City will also expand its off-hour delivery program to assist businesses that are interested in shifting their deliveries to less busy times. Clear Lane streets will include:  ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"A. How long are the streets which are targeted for these traffic speed improvements?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,"Linear Feet","Linear Miles","# Lanes","Lane Miles",null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"60th and 59th Sts. (Fifth to Second Ave.)",null,null,null,{"$f":"SUM(Cordon!D335:D339)","v":2775},{"$f":"F20/Constants!$J$9","v":0.52556818181818177},12,{"$f":"G20*H20","v":6.3068181818181817},null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"58th St. (Lexington to Second Ave.)",null,null,null,{"$f":"SUM(Cordon!D335:D336)","v":1030},{"$f":"F21/Constants!$J$9","v":0.19507575757575757},{"$f":"ROUND(Cordon!$F$307,0)","v":6},{"$f":"G21*H21","v":1.1704545454545454},null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"54th St. (Eighth to Third Ave.)",null,null,null,{"$f":"SUM(Cordon!D336:D342)","v":4565},{"$f":"F22/Constants!$J$9","v":0.86458333333333337},{"$f":"ROUND(Cordon!$F$307,0)","v":6},5.1875,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"53rd St. (Ninth to Third Ave.)",null,null,null,{"$f":"SUM(Cordon!$D$336:$D$343)","v":5365},{"$f":"F23/Constants!$J$9","v":1.0160984848484849},{"$f":"ROUND(Cordon!$F$307,0)","v":6},6.0965909090909092,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"50th and 49th Sts. (Ninth to Third Ave.)",null,null,null,{"$f":"SUM(Cordon!$D$336:$D$343)","v":5365},{"$f":"F24/Constants!$J$9","v":1.0160984848484849},12,12.193181818181818,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"47th and 46th Sts. (Ninth to Third Ave.)",null,null,null,{"$f":"SUM(Cordon!$D$336:$D$343)","v":5365},{"$f":"F25/Constants!$J$9","v":1.0160984848484849},12,12.193181818181818,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"37th and 36th Sts. (Sixth to Second Ave)",null,null,null,{"$f":"SUM(Cordon!D335:D340)","v":3575},{"$f":"F26/Constants!$J$9","v":0.67708333333333337},12,8.125,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Total affected streets",null,null,null,null,null,null,{"$f":"SUM(I20:I26)","v":51.272727272727273},null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Entire Manhattan CBD (Central Business District)",null,null,null,null,null,null,{"$f":"Cordon!G320","v":900},null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Affected streets, % share of entire Manhattan CBD ",null,null,null,null,null,null,{"$f":"I27/I28","v":5.6969696969696969E-2},null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"B. Quantification of traffic volumes, speeds and hours of travel in the target area vis-à-vis the entire Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Average travel speed in target area, mph",null,null,null,null,null,null,4.7,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"DOT Commissioner Polly Trottenberg, in NY Times, De Blasio’s Five-Point Plan Aims to Reduce Traffic Congestion, Oct 22, 2017 (https://www.nytimes.com/2017/10/22/nyregion/de-blasio-five-point-plan-traffic-congestion.html). I assume her figure refers to the 8 am - 6 pm period on weekdays, to match the frame generally used in city transportation officials' depictions of CBD congestion.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Average travel speed in CBD, mph",null,null,null,null,null,null,{"$f":"'Speed-Vol., Cordon'!K48","v":7.1},null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Based on GPS records maintained by NYC medallion taxicabs, distilled and reported in NYC DOT, New York City Mobility Report 2016, pp 22-23. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Travel speed ratio, target area vs. entire CBD",null,null,null,null,null,null,{"$f":"I33/I38","v":0.6619718309859155},null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Row \",O33,\" divided by Row \",O38, \".\")","v":"Row 33 divided by Row 38."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Target-area traffic density (volumes per lane mile) vs. that for entire CBD",null,null,null,null,null,null,1.64,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,{"$f":"CONCATENATE(\"Approximated by applying CBD volume-speed equation, S = 24.2 / [1 + 0.1*(V/Vk)4.08], to speed ratio in Row \",O41, \", where S denotes speed, V denotes vehicle volume, and Vk ('V sub k') is a constant. See 'Speed-Vol., Cordon' tab for details.\")","v":"Approximated by applying CBD volume-speed equation, S = 24.2 / [1 + 0.1*(V/Vk)4.08], to speed ratio in Row 41, where S denotes speed, V denotes vehicle volume, and Vk ('V sub k') is a constant. See 'Speed-Vol., Cordon' tab for details."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Speed penalty in target area vis-à-vis CBD average",null,null,null,null,null,null,{"$f":"I41-1","v":-0.3380281690140845},null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,{"$f":"CONCATENATE(\"Row \",O41,\" less 1.\")","v":"Row 41 less 1."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Total daily VMT in CBD (24h)",null,null,null,null,null,null,{"$f":"'Motor Vs'!$H$118","v":3236744.7183148852},null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",'Motor Vs'!O118, \" of 'Motor Vs' tab.\")","v":"Copied from Row 118 of 'Motor Vs' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Daily vehicle hours traveled in CBD (24h)",null,null,null,null,null,null,{"$f":"'Motor Vs'!$N$207","v":406794.9906570781},null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",'Motor Vs'!O207, \" of 'Motor Vs' tab.\")","v":"Copied from Row 207 of 'Motor Vs' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"CBD average vehicle speeds, mph (24h)",null,null,null,null,null,null,{"$f":"I48/I50","v":7.956697581469018},null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,{"$f":"CONCATENATE(\"Row \",O48,\" divided by Row \",O50, \".\")","v":"Row 48 divided by Row 50."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Daily VMT in target area (24h)",null,null,null,null,null,null,{"$f":"I48*I29*I43","v":302410.03986389254},null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O29,\" ,\",O43, \" and \",O48,\".\")","v":"Product of Rows 29 ,43 and 48."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,"Percent of CBD daily VMT occurring in target area",null,null,null,null,null,null,{"$f":"I54/I48","v":9.343030303030303E-2},null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,{"$f":"CONCATENATE(\"Row \",O54,\" divided by Row \",O48, \".\")","v":"Row 54 divided by Row 48."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Average vehicle speeds in target area",null,null,null,null,null,null,{"$f":"I52*I41","v":5.2671096666062516},null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,{"$f":"CONCATENATE(\"Row \",O52,\" multiplied by Row \",O41, \".\")","v":"Row 52 multiplied by Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Speed target improvement in target area",null,null,null,null,null,null,0.1,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Stated in City Hall press announcement referenced in this tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Targeted vehicle speeds in target area",null,null,null,null,null,null,{"$f":"I58*(1+I60)","v":5.7938206332668774},null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Row \",O58,\" increased by percent given in Row \",O60, \".\")","v":"Row 58 increased by percent given in Row 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Daily vehicle hours traveled in target area ",null,null,null,null,null,null,{"$f":"I54/I58","v":57414.798438921418},null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,{"$f":"CONCATENATE(\"Row \",$O$54,\" divided by Row \",O58, \".\")","v":"Row 54 divided by Row 58."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Daily vehicle hours traveled in target area if target speeds are achieved",null,null,null,null,null,null,{"$f":"I54/I62","v":52195.271308110379},null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,{"$f":"CONCATENATE(\"Row \",$O$54,\" divided by Row \",O62, \".\")","v":"Row 54 divided by Row 62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Daily savings in target area if target speeds are achieved (hours)",null,null,null,null,null,null,{"$f":"I64-I66","v":5219.5271308110387},null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,{"$f":"CONCATENATE(\"Row \",O64,\" less Row \",O66, \".\")","v":"Row 64 less Row 66."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Weekdays in year",null,null,null,null,null,null,{"$f":"weekday_per_yr","v":250},null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,{"$f":"CONCATENATE(\"From 'Constants' tab, Row \",Constants!O24, \".\")","v":"From 'Constants' tab, Row 24."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Yearly savings, hours (weekdays only)",null,null,null,null,null,null,{"$f":"I68*I70","v":1304881.7827027596},null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"Row \",O68,\" multiplied by Row \",O70, \".\")","v":"Row 68 multiplied by Row 70."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Value of time spent in traffic, CBD",null,null,null,null,null,null,{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789037},null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,{"$f":"CONCATENATE(\"Derived in and copied from 'Cost-Benefit' tab, Row \",'Cost-Benefit'!O236, \". Figures reflects high earnings of people traveling by m.v. in CBD.\")","v":"Derived in and copied from 'Cost-Benefit' tab, Row 236. Figures reflects high earnings of people traveling by m.v. in CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Annual savings (weekdays only)",null,null,null,null,null,null,{"$f":"ROUND(I72*I74,-5)","v":67300000},null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"Row \",O72,\" multiplied by Row \",O74, \", rounded.\")","v":"Row 72 multiplied by Row 74, rounded."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Additional amount for weekends (factor)",null,null,null,null,null,null,{"$f":"wkend_per_yr/weekday_per_yr*'Cost-Benefit'!$J$236/'Cost-Benefit'!$I$236*Weekends!$V$154","v":0.23474378088269388},null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"A factor reflecting the lesser (i) number of weekend and holiday days vis-à-vis weekdays; (ii) lesser values of time of weekend traveling; and (iii) lower weekend volumes of traffic. We will source fully when not on deadline.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Additional amount for weekends (value)",null,null,null,null,null,null,{"$f":"ROUND(I76*I78,-5)","v":15800000},null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,{"$f":"CONCATENATE(\"Row \",O76,\" multiplied by Row \",O78, \", rounded.\")","v":"Row 76 multiplied by Row 78, rounded."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Year grand total",null,null,null,null,null,null,{"$f":"I76+I81","v":83100000},null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O76,\" and \",O81, \".\")","v":"Sum of Rows 76 and 81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Here's link to my Oct 23, 2017 Streetsblog post critiquing the plan, The Futility of de Blasio’s Meager Traffic Congestion Plan: https://nyc.streetsblog.org/2017/10/23/the-futility-of-de-blasios-meager-traffic-congestion-plan/"]
[]
[null,"Here's the text of the mayoral announcement, downloaded from http://www1.nyc.gov/office-of-the-mayor/news/673-17/mayor-de-blasio-initiatives-help-ease-congestion"]
[null,"Mayor de Blasio Announces Initiatives To Help Ease Congestion"]
[null,"2017-10-22"]
[null,"Effort will create new moving lanes, test new curbside access restrictions, expand enforcement, address commercial corridors outside Manhattan, and tackle persistent highway back-ups "]
[]
[null,"NEW YORK—Mayor Bill de Blasio today announced action on a series of initiatives designed to ease congestion in busy "]
[null,"thoroughfares across the five boroughs. The new effort will include both new and proven approaches to traffic congestion, "]
[null,"including the creation of new moving lanes in Midtown, clearing curbs during rush hours, expanding NYPD enforcement of "]
[null,"block-the-box violations, limiting curbside access in crowded corridors, and bringing coordinated attention to recurring "]
[null,"traffic spots on local highways. The Mayor announced the steps along one of the new Clear Lanes corridors in Midtown "]
[null,"Manhattan, where vehicle travel times have declined by 23% since 2010."]
[]
[null,"“With 8.5 million people, New York City is experiencing both record population and economic vitality; but our success "]
[null,"has put serious demands on our already crowded street network,” said Mayor Bill de Blasio. “New Yorkers have been telling "]
[null,"me loud and clear about the quality-of-life problems created by traffic where they live and work.  With a targeted effort "]
[null,"to help clear travel lanes, delivery zones, intersections and highways, these initiatives will address these concerns head-on, "]
[null,"using established and new tools that will keep our City moving, from midtown to all of our neighborhoods .”"]
[]
[null,"These initiatives will encompass the work of the Department of Transportation (DOT), the Police Department (NYPD), the "]
[null,"Taxi and Limousine Commission (TLC), the Economic Development Corporation (EDC), the Department of Design "]
[null,"and Construction (DDC) and the Department of Finance (DOF) -- and will include five major elements:"]
[]
[null,"1. Clear Lanes:  Keeping Traffic Moving in Manhattan’s CBDs  "]
[]
[null,"To address congestion in the core of Midtown, the City will create continuous curb moving lanes during busy times on 11 key "]
[null,"crosstown streets. Deliveries will generally be permitted on one side of the street, while the other curb will be signed for "]
[null,"no standing from 6 am to 7 pm.  To enforce these Clear Lanes, the NYPD will double the Traffic Enforcement Agents (TEAs) in "]
[null,"the Midtown Manhattan Traffic Enforcement Task Force from 40 to 80 and increase uniform headcount by 110 officers. These "]
[null,"officers will focus on moving and parking violations, double parking, and off-route trucks. The City will also expand its "]
[null,"off-hour delivery program to assist businesses that are interested in shifting their deliveries to less busy times. "]
[null,"Clear Lane streets will include:  "]
[null,"* 60th and 59th Sts. (Fifth to Second Ave.)"]
[null,"* 58th St. (Lexington to Second Ave.)"]
[null,"* 54th St. (Eighth to Third Ave.)"]
[null,"* 53rd St. (Ninth to Third Ave.)"]
[null,"* 50th and 49th Sts. (Ninth to Third Ave.)"]
[null,"* 47th and 46th Sts. (Ninth to Third Ave.)"]
[null,"* 37th and 36th Sts. (Sixth to Second Ave)"]
[]
[null,"To address congestion in Lower Manhattan, the City will expand its network of traffic cameras to better monitor traffic conditions "]
[null,"and extend Midtown in Motion, NYC DOT’s signals-based congestion management system, to include Lower Manhattan. Finally, the City "]
[null,"will reform its double parking and other curb regulation rules to make them easier to understand for drivers and easier to enforce."]
[]
[null,"2. Clear Curbs: Testing Curb Access Restrictions  "]
[null,"In an effort to develop additional tools to manage traffic congestion, the City will test curb access restriction on two major "]
[null,"commercial corridors and in a zone within Manhattan. The City will then monitor the impact of the pilot program and, if successful, "]
[null,"expand the approach to additional corridors. For six months beginning in January 2018, the City will ban curbside loading on both "]
[null,"sides of the street on the pilot corridors and within the pilot zone during peak hours (7 am-10 am and 4 pm-7 pm). Focusing on "]
[null,"the morning and evening peak periods will preserve business viability while addressing the most severe congestion. The expeditious "]
[null,"pick-up and drop-off of passengers would still be allowed, as would deliveries to off-street loading docks. "]
[null,"This treatment will be implemented in:"]
[null,"* Manhattan (Midtown): the zone bounded by Sixth Ave. to the west, Madison Ave. to the East, 45th St. to the south and 50th St. to the north. "]
[null,"* Queens (Jackson Hgts and Corona): Roosevelt Ave., Broadway to 108th St."]
[null,"* Brooklyn (Downtown, Park Slope, Prospect Hgts): Flatbush Ave, Grand Army Plaza to Tillary St."]
[null,"These corridors serve as important links in the regional road network, carry high volumes of traffic, and are subject to significant "]
[null,"blockages by double parking and delivery activity. Additional NYPD staff will be assigned to the pilot locations to enforce the new "]
[null,"restrictions and keep curbs clear. The City will collect data on traffic congestion, double parking, delivery activity, and curb "]
[null,"regulation compliance before and after the six-month pilot period and report on the new program in the fall of 2018.  "]
[]
[null,"3. Clear Intersections: Expanding Block-the-Box Enforcement to Reduce Gridlock"]
[null,"Drivers who enter intersections without sufficient space on the other side “block-the box,” which can have cascading effects on "]
[null,"traffic and create dangers to pedestrians who cannot cross streets safely. The City will reinvigorate its efforts against block-the-box "]
[null,"with focus at 50 key intersections citywide. NYC DOT will install special block-the-box markings and update signage to make drivers "]
[null,"more aware of block-the-box restrictions, while the NYPD will increase enforcement at these locations to keep traffic moving. NYPD "]
[null,"will hire an additional 50 uniformed officers to enforce block-the-box rules."]
[null,"The City will target about 30 intersections in Manhattan and 20 intersections outside Manhattan, with a focus on major routes leading "]
[null,"to river crossings, highway on-ramps, and commercial centers. A new public-awareness campaign will also target drivers."]
[]
[null,"4. Clear Zones: Reducing Congestion in Commercial Districts Outside Manhattan"]
[null,"The City will undertake a range of efforts to address congestion at hotspots outside Manhattan, including: "]
[null,"* Downtown Flushing: DDC is reconstructing Main Street and expanding sidewalks to improve pedestrian, vehicle, and bus circulation. "]
[null,"DOT is also implementing Flushing in Motion, a dynamic signal system based on Midtown in Motion, to better manage traffic. Flushing "]
[null,"in Motion and the capital project will be completed by the end of 2017."]
[null,"* North Shore of Staten Island:  Inpreparation for the opening of new developments --including the Empire Outlets next spring -- "]
[null,"and the expected increase in traffic, DOT has developed a potential program of traffic management measures, including signal timing "]
[null,"changes, street and intersection redesigns, bicycle and pedestrian safety improvements, and enhancements to Staten Island Ferry service."]
[null,"* Hunts Point:  Inconjunction with New York State’s plans to convert the Sheridan Expressway into an urban boulevard and add new highway "]
[null,"ramps, DOT is updating truck routes to improve access to businesses and to reduce environmental and quality of life impacts on the local "]
[null,"community. "]
[null,"* Downtown Jamaica: In support of EDC’s Jamaica Now Action Plan, DOT is developing a congestion action plan for the downtown core as part "]
[null,"of a larger Jamaica-area transportation study. Findings will be released in 2018. The plan will include recommendations for street redesigns "]
[null,"to enhance safety and mobility, signal timing changes and one-way street conversions to promote traffic flow, and curb regulation changes "]
[null,"to reduce congestion, among other efforts."]
[null,"* Address Other Outer Borough Congestion Hotspots:  In parallel with the above efforts, the DOT is buying citywide traffic data sets, both "]
[null,"real-time and historical, that include information such as origin-destination, vehicle type, relative volume, travel times, trip length, "]
[null,"speeds, and delay costs. DOT will use the data to evaluate congestion and to identify and evaluate, for example but not limited to, the "]
[null,"most/least congested, slowest/fastest, unreliable/reliable locations citywide."]
[]
[null,"5. Clear Highways: Reducing Congestion on the Arterial Highway System "]
[null,"The City will engage state and local elected officials with the goal of convening task forces to focus on persistent congestion on highways "]
[null,"outside the City’s jurisdiction, starting with the Cross Bronx Expressway and the Staten Island Expressway (SIE)/Verrazano–Narrows Bridge/Gowanus "]
[null,"Expressway corridor. These task forces will seek to work with partner agencies, including the MTA, NYS DOT, and the Port Authority, to improve "]
[null,"highway operations and address choke points. The SIE and Cross Bronx task forces will be convened in the coming months. Moving forward, the City "]
[null,"may convene similar groups to focus on additional highways, such as the LIE. "]
[]
[null,"pressoffice@cityhall.nyc.gov, (212) 788-2958"]
[]
[null,"[Remainder of press statement isn't shown here, for space reasons: statements of support from "]
[null,"1.  DOT Commissioner Polly Trottenberg "]
[null,"2. Police Commissioner James P. O'Neill "]
[null,"3. Senator Liz Krueger"]
[null,"4. Assembly Member Joe Lentol"]
[null,"5. Council Member Ydanis Rodriguez, Chair of the Committee on Transportation "]
[null,"6. Council Member Ben Kallos "]
[null,"7. Council Member Julissa Ferreras-Copeland"]
[null,"8. Council Member Dan Garodnick "]
[null,"9. Council Member Stephen Levin"]
[null,"10.  Councilman Donovan Richards "]
[null,"11. Council Member Carlos Menchaca  "]
[null,"12.  Council Member Rory Lancman"]
[null,"13.  Brooklyn Chamber of Commerce President and CEO Andrew Hoan "]
[null,"14.  Alec Slatky, Manager of Government Relations for AAA Northeast ]"]
[]
[null,"http://www1.nyc.gov/office-of-the-mayor/news/673-17/mayor-de-blasio-initiatives-help-ease-congestion"]

{"sheet":"CBD Congestion","index":14,"n_rows":153,"n_cols":26,"rows_kept":153,"cut":false,"hidden":false,"merged":[[141,12,147,13],[84,11,86,12],[101,9,107,10],[122,1,125,8],[101,1,104,8],[105,1,107,8],[108,1,110,8],[89,1,92,8],[94,1,95,8],[13,1,14,9],[71,11,73,13],[149,1,152,8],[29,5,31,5],[29,6,31,6],[129,1,131,8],[142,1,146,8],[134,1,139,8],[45,1,51,3],[44,8,44,10],[73,1,74,8],[50,11,55,11],[53,1,54,8],[69,1,70,8],[63,1,66,8],[56,1,57,8]]}
[null,"CBD Congestion",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,{"$f":"CONCATENATE(\"This worksheet was begun in late July 2015, to approximate causes of the reported worsening of CBD travel speeds in 2014 and 2015. That analysis begins in Row \",O26, \".\")","v":"This worksheet was begun in late July 2015, to approximate causes of the reported worsening of CBD travel speeds in 2014 and 2015. That analysis begins in Row 26."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"Analysis done in late Oct 2017 to support reporting by Nicole Gelinas on congestion consequences of de facto lane closings in midtown due to construction. Slightly revised in April 2018.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"[Gelinas column was headlined: De Blasio’s protection-racket plan for ‘cutting traffic’. Link: https://nypost.com/2017/10/29/de-blasios-protection-racket-plan-for-cutting-traffic/]",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Number of lane-miles in Manhattan CBD",null,null,null,null,null,null,null,null,{"$f":"Cordon!G320","v":900},null,null,null,{"$f":"ROW()","v":9}]
[null,{"$f":"CONCATENATE(\"Derived in 'Cordon' tab, Row \",Cordon!P320, \".\")","v":"Derived in 'Cordon' tab, Row 320."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Number of lane-miles assumed to be removed from circulation, in a simulation of the sensitivity of congestion costs to available street space",null,null,null,null,null,null,null,null,12,null,null,null,{"$f":"ROW()","v":11}]
[null,"I used this figure to gauge congestion costs from construction-related street takeovers. Any figure could have been used; I arrived at this to reach nearly round number result in next row.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,{"$f":"CONCATENATE(\"Incremental time costs from increased CBD congestion if \",K11, \" lane-miles are removed from the system of street circulation, for one year, rounded.\")","v":"Incremental time costs from increased CBD congestion if 12 lane-miles are removed from the system of street circulation, for one year, rounded."},null,null,null,null,null,null,null,null,100000000,null,null,null,{"$f":"ROW()","v":13}]
[null,{"$f":"CONCATENATE(\"Hard-wired from 'Cost-Benefit' tab, Cell H\",'Cost-Benefit'!O63, \", corresponding to CBD time costs if 12 lane-miles are removed from circulation while BTA is running 'Baseline' scenario; I used setting #37 in 'User Input' tab. I also zeroed out motorist 'time-elasticities' in 'Elasticities' worksheet.\")","v":"Hard-wired from 'Cost-Benefit' tab, Cell H63, corresponding to CBD time costs if 12 lane-miles are removed from circulation while BTA is running 'Baseline' scenario; I used setting #37 in 'User Input' tab. I also zeroed out motorist 'time-elasticities' in 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Incremental time costs from removing a single CBD lane-mile from circulation for one year.",null,null,null,null,null,null,null,null,{"$f":"ROUND(K13/K11,-3)","v":8333000},null,null,null,{"$f":"ROW()","v":16}]
[null,{"$f":"CONCATENATE(\"Row \",O13, \" divided by Row \",O16, \".\")","v":"Row 13 divided by Row 16."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Incremental time costs from removing a single CBD lane-foot from circulation for one year.",null,null,null,null,null,null,null,null,{"$f":"K16/Constants!J9","v":1578.219696969697},null,null,null,{"$f":"ROW()","v":18}]
[null,{"$f":"CONCATENATE(\"Row \",O16, \" divided by number of feet in a mile.\")","v":"Row 16 divided by number of feet in a mile."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Incremental time costs from removing a single CBD lane-foot from circulation for one week, rounded.",null,null,null,null,null,null,null,null,{"$f":"ROUND(K18/52,0)","v":30},null,null,null,{"$f":"ROW()","v":20},null,null,null,null,null,null,null,null,null,null,30]
[null,{"$f":"CONCATENATE(\"Row \",O18, \" divided by number of weeks in a year.\")","v":"Row 18 divided by number of weeks in a year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Incremental time costs from removing a single CBD lane-foot from circulation for one month, rounded.",null,null,null,null,null,null,null,null,130,null,null,null,{"$f":"ROW()","v":22}]
[null,"Row 18 divided by number of months in a year.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Summary of CBD Congestion Analysis from 2015",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Reduction in CBD travel speeds to be accounted for:",null,null,null,{"$f":"K69","v":-0.10450139757003832},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,{"$f":"CONCATENATE(\"(Calculated as reported decline of \",ROUND(100*K60,1), \"% minus missed *improvement* of \",ROUND(100*K63,1),\".0%. See below.)\")","v":"(Calculated as reported decline of -8.5% minus missed *improvement* of 2.0%. See below.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,"CBD Speed Reduction attributed to each factor","Factor's Share of Total Observed Reduction",null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Factors found contributing to slower CBD vehicular travel",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Uber",null,null,null,{"$f":"K73","v":-4.2786299999999999E-2},{"$f":"F33/$F$28","v":0.40943280180845443},null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Increased Bicycle Lanes",null,null,null,{"$f":"K77","v":-1.9351557764426802E-2},0.18517989437851406,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Cheaper Gasoline leading to More Driving",null,null,null,{"$f":"K100","v":-1.9555161182412999E-2},0.18712822638861698,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"More Pedestrian Activity",null,null,null,{"$f":"K134","v":-5.0000000000000001E-3},4.7846250062339397E-2,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Increased Motorist Observance of Pedestrian Right Of Way",null,null,null,{"$f":"K142","v":-5.0000000000000001E-3},4.7846250062339397E-2,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Speed Limit Reduction to 25 mph",null,null,null,{"$f":"K149","v":-1E-3},9.5692500124678788E-3,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"SUBTOTAL",null,null,null,{"$f":"SUM(F33:F38)","v":-9.2693018946839817E-2},0.88700267271273225,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Other factors not identified",null,null,null,{"$f":"F28-F39","v":-1.1808378623198501E-2},0.1129973272872677,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"The rest of this worksheet fills in the figures in the table above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"0. Quantifying the actual change in average CBD travel speeds, 2014 vs. 2012",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,"Weekday Motor Vehicles Entering CBD",null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"All data in these rows are from a July 20, 2015 e-mail from Carl Bialik, a writer for Nate Silver's Web site fivethirtyeight.com, who sourced them to NYC DOT. The percentage change calculations are mine, however. Figures in last column, showing weekday vehicles entering CBD per BTA, are also mine.",null,null,"Calendar Year","Average MPH","∆ from 2012","∆ from 2013","Per NYCDOT","∆ from 2012","∆ from 2013","Same, per BTA",null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,2009,9.27,null,null,771000,null,null,{"$f":"'Hub-Bound'!N27*1000","v":750000},null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,2010,9.35,null,null,778000,null,null,{"$f":"'Hub-Bound'!N28*1000","v":767000},null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,2011,8.93,null,null,764000,null,null,{"$f":"'Hub-Bound'!N29*1000","v":758911},null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,2012,9.3000000000000007,null,null,751000,null,null,{"$f":"'Hub-Bound'!N34*1000","v":709474},null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,2013,8.9,{"$f":"F51/$F$50-1","v":-4.3010752688172116E-2},null,747000,{"$f":"I51/$I$50-1","v":-5.3262316910785978E-3},null,{"$f":"CONCATENATE(\"Above figures are from 'Hub-Bound' tab, Rows \",'Hub-Bound'!R28,\"-\",'Hub-Bound'!R31, \". It's unclear why DOT figures at left are different.\")","v":"Above figures are from 'Hub-Bound' tab, Rows 28-31. It's unclear why DOT figures at left are different."},null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,2014,8.51,{"$f":"F52/$F$50-1","v":-8.4946236559139909E-2},{"$f":"F52/$F$51-1","v":-4.3820224719101186E-2},731000,{"$f":"I52/$I$50-1","v":-2.6631158455392767E-2},{"$f":"I52/I51-1","v":-2.1419009370816644E-2},null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"The analysis below will compare 2014 to 2012, using City DOT figures for both the change in CBD average travel speeds in those two years (a \", -ROUND(G52*100,1), \"% drop) and the change in vehicle entries to the CBD (a \",-ROUND(J52*100,1), \"% drop).\")","v":"The analysis below will compare 2014 to 2012, using City DOT figures for both the change in CBD average travel speeds in those two years (a 8.5% drop) and the change in vehicle entries to the CBD (a 2.7% drop)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Note that some of the calculations below will use 2015 data instead of 2014. This process, while irregular, is necessitated by the currency of the issue and the novelty of the app-based ride service Uber.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"A. Observed change in average CBD travel speeds, 2014 vs. 2012",null,null,null,null,null,null,null,null,{"$f":"G52","v":-8.4946236559139909E-2},null,null,null,{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Calculated and shown in Cell G\",O52, \".\")","v":"Calculated and shown in Cell G52."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"B. Predicted change in avg CBD travel speeds, 2014 vs. 2012, as result of reported reduxn in veh entries to CBD",null,null,null,null,null,null,null,null,1.9555161010898402E-2,null,null,null,{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Calculated by inputting negative \",(I50-I52)/1000, \",000, (the change in number of CBD entries reported by NYCDOT and calculated as the difference between Cells I\",O50, \" and I\",O52, \") into Cell E\",'Policy Levers'!O261, \" of the 'Policy Levers' tab, then setting the switch in Cell E\",'Policy Levers'!O259, \" of the same tab to 'C', and then running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu in Cell K\",Results!N27, \" to 'Baseline'. When I did this on July 27, 2015, the result shown here in Cell K\",O63, \" appeared in Cell B\",Results!N14, \" of the 'Results' tab. However, I've had to 'hardwire' the value shown in Row \",O63, \", since the scenario that led to it is a special one, not the default one, in the BTA.\")","v":"Calculated by inputting negative 20,000, (the change in number of CBD entries reported by NYCDOT and calculated as the difference between Cells I50 and I52) into Cell E261 of the 'Policy Levers' tab, then setting the switch in Cell E259 of the same tab to 'C', and then running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu in Cell K27 to 'Baseline'. When I did this on July 27, 2015, the result shown here in Cell K63 appeared in Cell B14 of the 'Results' tab. However, I've had to 'hardwire' the value shown in Row 63, since the scenario that led to it is a special one, not the default one, in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"C. Change in avg CBD travel speeds, 2014 vs. 2012, to be \"explained\" by changes in factors other than veh entries to CBD",null,null,null,null,null,null,null,null,{"$f":"K60-K63","v":-0.10450139757003832},null,null,null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Row \",O60, \" less Row \",O63, \". The premise is that we need to account for a 'swing' of \",ROUND(-K69*100,1), \"% in speeds, since speeds would have been predicted to increase slightly (by \",ROUND(K63*100,1), \"%) due to the reduction in vehicle entries to the CBD from 2012 to 2014.\")","v":"Row 60 less Row 63. The premise is that we need to account for a 'swing' of 10.5% in speeds, since speeds would have been predicted to increase slightly (by 2%) due to the reduction in vehicle entries to the CBD from 2012 to 2014."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,"Figure to left is hard-wired from value derived in BTA prior to Dec 8, 2017, when 'Taxis' tab was overhauled. It was from Cell L881 of 'Taxis' at that time.",null,null,{"$f":"ROW()","v":72}]
[null,"1. Possible Factor #1: Change in avg CBD travel speeds that would be expected due to net incrs in CBD VMT attributable to Uber",null,null,null,null,null,null,null,null,{"$f":"-4.27863%","v":-4.2786299999999999E-2},null,null,null,{"$f":"ROW()","v":73}]
[null,"Was Calculated and shown in 'Taxis' tab, in Row 881, prior to that tab's overhaul in Dec. 2017.  While that was based on a current (mid-2015) estimate of Uber volumes, rather than an increase from 2012 to 2014, it appeared to be best approximation available at that time.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"2. Possible Factor #2: Change in avg CBD travel speeds that would be expected due to \"appropriation\" of lanes for bicycle network",null,null,null,null,null,null,null,null,{"$f":"K97","v":-1.9351557764426802E-2},{"$f":"CONCATENATE(\"Copied from Cell K\",O97, \" and derived directly below.\")","v":"Copied from Cell K97 and derived directly below."},null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Increase in CBD bicycle lanes, 2012 to 2014, miles",null,null,null,null,null,null,null,null,{"$f":"SUM(Bicycles!J337:J338)","v":14.135999999999999},null,null,null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"Estimated from NYCDOT data, derived and sourced in 'Bicycles' tab, Rows \",Bicycles!O337, \" and \",Bicycles!O338, \".\")","v":"Estimated from NYCDOT data, derived and sourced in 'Bicycles' tab, Rows 337 and 338."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Effective loss of motor vehicle lane-miles per bicycle lane-mile",null,null,null,null,null,null,null,null,0.5,null,null,null,{"$f":"ROW()","v":81}]
[null,"Komanoff estimate, intended to reflect less-than-\"standard\" width of most bicycle lanes, along with lanes' \"regularizing\" function on overall traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Effective loss of CBD motor-vehicle lanes due to expansion of bicycle network, 2012 to 2014, lane-miles",null,null,null,null,null,null,null,null,{"$f":"K81*K79","v":7.0679999999999996},null,null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O81, \" and \",O79, \".\")","v":"Product of Rows 81 and 79."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Total number of CBD lane-miles",null,null,null,null,null,null,null,null,{"$f":"Cordon!G320","v":900},"Figures at left aren't used in calculations, but are shown for possible interest.",null,null,{"$f":"ROW()","v":85}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",Cordon!P320, \" of 'Cordon' tab, where it is derived in detail.\")","v":"Copied from Row 320 of 'Cordon' tab, where it is derived in detail."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Effective loss of CBD motor-veh lanes due to expansion of bicycle network, 2012 to 2014, expressed as a percent (rounded)",null,null,null,null,null,null,null,null,{"$f":"ROUND(K83/K85,3)","v":8.0000000000000002E-3},null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Row \",O83, \" divided by Row \",O85, \".\")","v":"Row 83 divided by Row 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Predicted decline in CBD travel speeds from removing \",ROUND(K83,1), \" motor vehicle lane-miles.\")","v":"Predicted decline in CBD travel speeds from removing 7.1 motor vehicle lane-miles."},null,null,null,null,null,null,null,null,-2.4189447205533499E-2,null,null,null,{"$f":"ROW()","v":89}]
[null,{"$f":"CONCATENATE(\"Calculated by inputting the number \",ROUND(K83,1), \", which is the effective loss of CBD motor-v lane miles calculated in Row \",O83, \", into Cell E\",'Policy Levers'!O185, \" of 'Policy Levers' tab, and running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu switch in Cell K\",Results!N27, \" to 'Baseline'. When I did this on July 28, 2015, the result shown here appeared in Cell B\",Results!N14, \" of the 'Results' tab. However, I've had to 'hardwire' the value shown in Row \",O89, \" since the scenario that led to it is a special one, not the default one, in the BTA.\")","v":"Calculated by inputting the number 7.1, which is the effective loss of CBD motor-v lane miles calculated in Row 83, into Cell E185 of 'Policy Levers' tab, and running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu switch in Cell K27 to 'Baseline'. When I did this on July 28, 2015, the result shown here appeared in Cell B14 of the 'Results' tab. However, I've had to 'hardwire' the value shown in Row 89 since the scenario that led to it is a special one, not the default one, in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Attenuation factor to above predicted decline, to reflect posited (if slight) decline in motor veh. travel due to increase in bicycle travel",null,null,null,null,null,null,null,null,0.2,null,null,null,{"$f":"ROW()","v":94}]
[null,"Komanoff estimate. To be firmed up based on empirical data on bicycle use and estimates of the associated decline in use of yellow cabs, other for-hire vehicles, and private autos.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Expected change in avg CBD travel speeds due to expansion of CBD Bicycle Network, 2012 to 2014",null,null,null,null,null,null,null,null,{"$f":"K89*(1-K94)","v":-1.9351557764426802E-2},null,null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O89, \" and complement of Row \",O94, \".\")","v":"Product of Row 89 and complement of Row 94."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"3. Possible Factor #3: Change in avg CBD travel speeds that would be expected if cheaper gasoline has led to an uptick in vehicle entries to CBD",null,null,null,null,null,null,null,null,{"$f":"K122","v":-1.9555161182412999E-2},{"$f":"CONCATENATE(\"Copied from Cell K\",O122, \" and derived directly below.\")","v":"Copied from Cell K122 and derived directly below."},null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"I wrote last fall (Nov. 2014), that \"the price of gas ... has already fallen below three bucks a gallon after averaging about $3.60 nationally in 2013 and $3.70 in 2012. Unlike some prior falls that proved transitory, this one looks like it could have staying power owing to the boom in U.S. production, the stutter-stop world economy, and Saudi Arabia’s disinclination to curb production to stabilize prices.\"",null,null,null,null,null,null,null,"These quotes are from my Nov. 24, 2014 post on Streetsblog, \"Cheaper Gas and Uber Have Manhattan Gridlock Poised to Get Worse.\" <http://www.streetsblog.org/2014/11/24/cheaper-gas-and-uber-have-manhattan-gridlock-poised-to-get-worse/>",null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"I went on to say, \" I estimate that a dollar a gallon drop in pump prices would shave 6 percent off the cost of a typical CBD commute. That correlates to an additional 12,000 or so motor vehicle trips to the CBD ... ([N]ote also that the rise would be 20,000 but for the “rebound” effect of new trips crowding out some current trips.)\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"The 6 percent reduction in the cost of a typical CBD round-trip from a $1/gal drop in the price of gasoline can be documented at another time. (If the percentage seems small, it's because parking and tolls dominate the cost of most auto commutes to or through the CBD.) Here's how that 6% drop translates to an expected 12,000 additional vehicle trips per day to the CBD:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Assumed change in cost of a typical motor vehicle commute to or through Manhattan CBD",null,null,null,null,null,null,null,null,-0.06,null,null,null,{"$f":"ROW()","v":112}]
[null,{"$f":"CONCATENATE(\"See discussion in Rows \",O102, \"-\",O111, \".\")","v":"See discussion in Rows 102-111."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Assumed price-elasticity of motor vehicle trips to or through Manhattan CBD",null,null,null,null,null,null,null,null,-0.5,null,null,null,{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"Unweighted average of price-elasticities for auto work-trips, non-work-trips and through trips, recorded in Row \",Elasticities!O66, \" of the 'Elasticities' tab, and derived in that worksheet.\")","v":"Unweighted average of price-elasticities for auto work-trips, non-work-trips and through trips, recorded in Row 66 of the 'Elasticities' tab, and derived in that worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Estimated % change in auto trips to/through Manhattan CBD due to assumed $1.00/gallon reduction in price of gasoline",null,null,null,null,null,null,null,null,{"$f":"(1+K112)^K114-1","v":3.14212462587935E-2},null,null,null,{"$f":"ROW()","v":116}]
[null,{"$f":"CONCATENATE(\"Calculated algebraically as one less than the number one plus the value in Cell K\",O112, \", raised to the exponent given in Cell K\",O114, \".\")","v":"Calculated algebraically as one less than the number one plus the value in Cell K112, raised to the exponent given in Cell K114."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Baseline auto trips to/through Manhattan CBD, typical weekday",null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!H85","v":613400},null,null,null,{"$f":"ROW()","v":118}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Cell H\",'Motor Vs'!O85, \". Is less than figures shown here in Rows \",O47, \"-\",O52, \" because we adjust through-trips to count as one entry, rather than two.\")","v":"Copied from 'Motor Vs' tab, Cell H85. Is less than figures shown here in Rows 47-52 because we adjust through-trips to count as one entry, rather than two."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Estimated numerical change in auto trips to/through Manhattan CBD due to assumed $1.00/gallon reduction in price of gasoline",null,null,null,null,null,null,null,null,{"$f":"ROUND(K116*K118,-3)","v":19000},null,null,null,{"$f":"ROW()","v":120}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O116, \" and \",O118, \".\")","v":"Product of Rows 116 and 118."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Expected change in avg CBD travel speeds due to anticipated increase in auto trips resulting from $1.00/gallon reduxn in gas price",null,null,null,null,null,null,null,null,-1.9555161182412999E-2,null,null,null,{"$f":"ROW()","v":122}]
[null,{"$f":"CONCATENATE(\"Calculated by inputting \",K120/1000, \",000, which is the expected change in the number of CBD entries derived and shown in Cell K\",O120, \", into Cell E\",'Policy Levers'!O261, \" of the 'Policy Levers' tab, setting the switch in Cell E\",'Policy Levers'!O259, \" of the same tab to 'C', and then running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu switch in Cell K\",Results!N27, \" to 'Baseline'. When I did this on July 28, 2015, the result shown here in Cell K\",O122, \" appeared in Cell B\",Results!N14, \" of the 'Results' tab. However, I've had to 'hardwire' the value shown in Cell K\",O122, \", since the scenario that led to it is a special one, not the default one, in the BTA.\")","v":"Calculated by inputting 19,000, which is the expected change in the number of CBD entries derived and shown in Cell K120, into Cell E261 of the 'Policy Levers' tab, setting the switch in Cell E259 of the same tab to 'C', and then running the BTA with the 'Baseline' scenario, i.e., setting the pull-down menu switch in Cell K27 to 'Baseline'. When I did this on July 28, 2015, the result shown here in Cell K122 appeared in Cell B14 of the 'Results' tab. However, I've had to 'hardwire' the value shown in Cell K122, since the scenario that led to it is a special one, not the default one, in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"4. Possible Factor #4: Increased Pedestrian Travel, and Vision Zero",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Three possible phenomena are discussed here: (i) an increasing number of people on foot in the CBD, (ii) increasing observance of pedestrians' right of way by drivers, especially via delayed turns into crosswalks, and (iii) the reduction in the nominal speed limit on NYC streets to 25 mph (from 30 mph). With no empirical data readily available, this section is necessarily speculative.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"A. Increasing Number of People on Foot in CBD ― estimated impact on average CBD travel speeds",null,null,null,null,null,null,null,null,-5.0000000000000001E-3,null,null,null,{"$f":"ROW()","v":134}]
[null,"NYC's economy is rebounding from the 2008 recession ― at least according to traditional indicators (details TK). Tourism is strong, and \"in 2014 the number of international visitors to New York City topped 12 million, a record,\" the New York Times reported on July 28, 2015. <http://www.nytimes.com/2015/07/28/arts/design/metropolitan-museum-draws-record-crowds.html>. Although I can neither quantify (or verify) increased pedestrian activity from 2012 to 2014, nor mathematically translate an hypothesized increase into greater \"congestion\" that would slow vehicular travel, it seems reasonable to posit increased pedestrian travel and to assign a small but non-zero responsibility to it for slowing motor traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"B. Increasing Observance of Pedestrians' Right of Way by Drivers ― estimated impact on average CBD travel speeds",null,null,null,null,null,null,null,null,-5.0000000000000001E-3,null,"NB: NYT July 1, 2016 Page-One story on growing pedestrian volumes in midtown. Emphasis on crowding rather than \"traffic,\" but worth consulting. http://www.nytimes.com/2016/07/01/nyregion/new-york-city-overcrowded-sidewalks.html.",null,{"$f":"ROW()","v":142}]
[null,"As in \"A\" directly above, I’m relying on a well-infomed (?) hunch about traffic behavior in the CBD. Over the past decade, I have observed what I believe is greater adherence by motorists to the requirement to yield to pedestrians in crosswalks before turning, especially in the case of right turns, which are far more common than left turns in the CBD. Though I have no empirical evidence or quantification, I believe it is reasonable to posit greater observance of pedestrian right of way by drivers and to assign a small but non-zero responsibility to it for slowing motor traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"C. Imposition of a 5 MPH Reduction in the Speed Limit as Part of Vision Zero ― estimated impact on average CBD travel speeds",null,null,null,null,null,null,null,null,-1E-3,null,null,null,{"$f":"ROW()","v":149}]
[null,"Several commentators have pointed to the reduction in the NYC speed limit to 25 mph (from 30 mph) as a contributing factor in lower average vehicle travel speeds in the CBD. This seems absurd on its face, insofar as (i) the vast majority of miles and minutes traveled in the CBD is at speeds of 25 mph or less, and (ii) the speed limit isn't rigorously enforced in any case. Accordingly, I've assigned this factor a near-zero role in reducing CBD travel speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]

{"sheet":"Stuck in Traffic","index":15,"n_rows":106,"n_cols":14,"rows_kept":106,"cut":false,"hidden":false,"merged":[[7,1,11,8],[3,1,4,8]]}
[null,"Stuck in Traffic",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This new (August 2018) worksheet develops a procedure to estimate the amount of time that people in motor vehicles in the Manhattan CBD are moving so slowly that they feel they are \"stuck in traffic,\" as a function of the trip's average speed; and the extent to which that will change under congestion pricing scenarios.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"Our Approach",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"As laid out for taxicabs in our Taxi Farecalcs tab, our model assumes that vehicles operating in the Manhattan CBD are either (1) stationary, (2) in \"normal motion\" or (3) decelerating to zero from normal motion or accelerating to normal motion from zero. (We have dropped the assumption in that tab that a vehicle spends as much time in mode #3 as in mode #1.) We retain the assumption that during mode #3 the cab's average velocity is the mean of its normal-motion average velocity and zero, i.e., is half of its normal-motion average velocity. As before, we assume that the distributions of speeds in modes 2 are \"normal\" (in statistical terms, i.e., bell-curved) around the respective means.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Parameters and Definitions",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"V = average vehicle speed for some chosen time period (e.g., 2-8 pm weekdays in CBD). These values will be drawn from before/after estimates in Motor V's.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"M = avg speed of vehicle in motion in CBD when not stopped (either at a traffic signal or at some other complete standstill) and not accelerating or decelerating from zero speed).",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"(M will be derived as a function of V, based on a series of assumptions detailed below.)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"S = average speed of a vehicle in motion in the CBD (including times when it is accelerating or decelerating). It will also be derived as a function of V, based on assumptions).",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"T1 = % of trip time that the vehicle is completely stopped (so that its velocity V1 = zero).",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"T2 = % of trip time the vehicle isn't stopped and is neither accelerating from nor decelerating to zero, i.e., is \"simply traveling,\" w/ avg speed M.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"T3 = % of trip time the vehicle is accelerating from or decelerating to zero. We assume that its avg velocity during those times V3 = 1/2 of its avg velocity while in motion V2.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Of course, T1 + T2 + T3 = 1.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"D1, D2 and D3 are distances associated with times T1, T2 and T3, though of course D1 = zero.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"We use the definition of speed/velocity that V = D/T, and the equivalent relationship D = V*T. Then it follows that",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"V = (D1 + D2 + D3) / (T1 + T2 + T3) = D1+D2+D3 (since T1+T2+T3 =1)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"V = 0 + (1-T1-T3)*M + 0.5*T3*M",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"V = M - T1*M - 0.5*T3*M",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"V = M * (1-T1-0.5*T3)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"M = V / (1-T1-0.5*T3)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"S = (D2+D3)/(T2+T3) = (M*T2 + 0.5*M*T3)/(T2+T3)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"S = (V*T2/(1-T1-0.5*T3) + 0.5*V*T3/(1-T1-0.5*T3))/(T2+T3)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"S = (V/(1-T1-0.5*T3))*(T2+0.5*T3)/(T2+T3)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Here are placeholder estimates for parameters T1 and T3:",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"T1 (% of trip time vehicle is stopped, if \"no traffic\") -- will be parametrized, to increase with declining traffic speeds",null,null,null,null,0.15,null,null,null,{"$f":"ROW()","v":48},null,"The graph illustrates a mathematical relationship between speed and motionless time, as devised by C. Komanoff"]
[null,"T3 (% of trip time veh is accel/decelerating to zero) -- will also be parametrized, to jibe with parametrized value of T1",null,null,null,null,0.15,null,null,null,{"$f":"ROW()","v":49}]
[null,"Standard deviation of M, expressed as ratio to M",null,null,null,null,{"$f":"1/3","v":0.33333333333333331},null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Intermediate Results",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52},null,"mph","factor"]
[null,"The following results are from the equations above.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53},null,4,{"$f":"(24/M53)^0.5","v":2.4494897427831779}]
[null,"M/V (M = avg speed when in full motion)",null,null,null,null,{"$f":"1/(1-$G$48-0.5*$G$49)","v":1.2903225806451613},null,null,null,{"$f":"ROW()","v":54},null,5,2.1908902300206643]
[null,"S/V (S = avg speed when in any motion)",null,null,null,null,{"$f":"(1/(1-$G$48-0.5*$G$49))*(1-$G$48-$G$49+0.5*$G$49)/(1-$G$48)","v":1.1764705882352939},null,null,null,{"$f":"ROW()","v":55},null,6,2]
[null,"Threshold speed (mph at or below which vehicle is deemed to be \"stuck in traffic\")",null,null,null,null,6,null,null,null,{"$f":"ROW()","v":56},null,7,1.8516401995451028]
[null,"Trip distance, miles (value will not affect results)",null,null,null,null,2.5,null,null,null,{"$f":"ROW()","v":57},null,8,1.7320508075688772]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58},null,9,1.6329931618554521]
[null,"Model Results",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59},null,10,1.5491933384829668]
[null,null,{"$f":"'Motor Vs'!G$132","v":"Graveyard"},{"$f":"'Motor Vs'!H$132","v":"A.M. Pre-pk"},{"$f":"'Motor Vs'!I$132","v":"A.M. Peak"},{"$f":"'Motor Vs'!J$132","v":"A.M. Post-pk"},{"$f":"'Motor Vs'!K$132","v":"Midday Pk"},{"$f":"'Motor Vs'!L$132","v":"P.M. Peak"},{"$f":"'Motor Vs'!M$132","v":"P.M. Post-pk"},null,{"$f":"ROW()","v":60},null,11,1.4770978917519928]
[null,null,{"$f":"'Motor Vs'!G$133","v":"11 pm - 5 am"},{"$f":"'Motor Vs'!H$133","v":"5 am - 6 am"},{"$f":"'Motor Vs'!I$133","v":"6 am - 9 am"},{"$f":"'Motor Vs'!J$133","v":"9 am - 10 am"},{"$f":"'Motor Vs'!K$133","v":"10 am - 2 pm"},{"$f":"'Motor Vs'!L$133","v":"2 pm - 8 pm "},{"$f":"'Motor Vs'!M$133","v":"8 pm - 11 pm"},null,{"$f":"ROW()","v":61},null,12,1.4142135623730951]
[null,"B E F O R E",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62},null,13,1.3587324409735149]
[null,"Avg speed for entire trip",{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,{"$f":"ROW()","v":63},null,14,1.3093073414159542]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O201, \".\")","v":"Copied from 'Motor Vs' tab, Row 201."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},null,15,1.2649110640673518]
[null,"% trip time that vehicle is motionless",{"$f":"$G$48*(24/C63)^0.5","v":0.16321115393625432},0.16867274268426655,0.27320700787241992,0.27341487874950138,0.24193851151208823,0.30246719659502092,0.25145755755491378,null,{"$f":"ROW()","v":65},null,16,1.2247448713915889]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying 'base' % in Row \",K48, \" by a factor calculated as the square root of 24 mph divided by the avg mph speed in Row \",K63, \". Graph at right illustrates how the factor rises as speeds fall.\")","v":"Calculated by multiplying 'base' % in Row 48 by a factor calculated as the square root of 24 mph divided by the avg mph speed in Row 63. Graph at right illustrates how the factor rises as speeds fall."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},null,17,1.1881770515720091]
[null,"Next 3 rows deal with time in full motion (neither motionless nor accelerating/decelerating from/to zero motion)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},null,18,1.1547005383792515]
[null,"M (avg speed when in full motion)",{"$f":"$G$54*C63","v":26.157268274656968},24.490758947666617,9.3348724315580025,9.3206836610696033,11.903702066329474,7.6161501091461616,11.019519850557371,null,{"$f":"ROW()","v":68},null,19,1.1239029738980326]
[null,{"$f":"CONCATENATE(\"Product of trip speed in Row \",K63, \" and M/V factor in Row \",K54, \".\")","v":"Product of trip speed in Row 63 and M/V factor in Row 54."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"% that time that speed <= threshold",{"$f":"NORMDIST($G$56,C68,$G$50*C68,TRUE)","v":1.0392844623560105E-2},1.1755452997548646E-2,0.14191694387775508,0.14257737832907849,6.8393199650850514E-2,0.2621923204565702,8.5885551659274986E-2,null,{"$f":"ROW()","v":70}]
[null,{"$f":"CONCATENATE(\"Output of normal-distribution function operating off threshold speed in Row \",K56, \" , speed while in motion from Row \",K68,\", and standard deviation factor in Row \",K50, \".\")","v":"Output of normal-distribution function operating off threshold speed in Row 56 , speed while in motion from Row 68, and standard deviation factor in Row 50."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"% of all trip time that speed is below threshold",{"$f":"(1-2*C65)*C70","v":7.0003882961772223E-3},7.7898040003636197E-3,6.4371536671275861E-2,6.4611825112544929E-2,3.5299301808698821E-2,0.10358316818208592,4.2692409560279664E-2,null,{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"Normalizes Row \",K70,\" result by % of time that trip is in full motion, which is unity (one) less twice Rows \",K65, \". (Row \",K65, \" gets doubled b/c accel/decel time must match stopped time.)\")","v":"Normalizes Row 70 result by % of time that trip is in full motion, which is unity (one) less twice Rows 65. (Row 65 gets doubled b/c accel/decel time must match stopped time.)"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Next 3 rows deal with accelerating or decelerating time",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"% that time that speed <= threshold",{"$f":"$G$56/C68","v":0.22938175106814304},0.24499036607322683,0.64275115101906022,0.64372960376937249,0.50404487331478631,0.78779959874932837,0.54448833355443504,null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",K56,\" (threshold value) to Row \",K68,\" ,based on assumption of straight-line (linear) acelerating and decelerating between zero and average speed when in full motion.\")","v":"Ratio of Row 56 (threshold value) to Row 68 ,based on assumption of straight-line (linear) acelerating and decelerating between zero and average speed when in full motion."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"% of all trip time that speed is below threshold",{"$f":"$G65*C$75","v":5.5496279421462881E-2},5.9272604502558099E-2,0.15550625675023286,0.15574298215222832,0.12194786638507848,0.19059906229123286,0.13173269695585743,null,{"$f":"ROW()","v":77}]
[null,{"$f":"CONCATENATE(\"Normalizes Row \",K75,\" result by % of time that trip is accelerating or decelerating, i.e., parameter T3, which is given in Row \",K49,\".\")","v":"Normalizes Row 75 result by % of time that trip is accelerating or decelerating, i.e., parameter T3, which is given in Row 49."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"% trip time that speed falls below threshold",{"$f":"C72+C77+C65","v":0.22570782165389441},0.23573515118718827,0.49308480129392862,0.49376968601427462,0.39918567970586555,0.59664942706833968,0.42588266407105091,null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"Sum of sub-threshold %'s in Row \",K72,\" (full motion), \",K77, \" (accelerating or decelerating), and \",K48, \" (completely stopped).\")","v":"Sum of sub-threshold %'s in Row 72 (full motion), 77 (accelerating or decelerating), and 48 (completely stopped)."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Trip time (in minutes and seconds)",{"$f":"$G$57/(C63*24)","v":"00:07:23.965"},"00:07:54.175","00:20:44.034","00:20:45.928","00:16:15.571","00:25:24.773","00:17:33.848",null,{"$f":"ROW()","v":81}]
[null,{"$f":"CONCATENATE(\"Product of trip distance in Row \",K57, \" and seconds in an hour, divided by average trip speed in Row \",K63, \".\")","v":"Product of trip distance in Row 57 and seconds in an hour, divided by average trip speed in Row 63."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Trip time \"stuck in traffic\" (in minutes & secs)",{"$f":"C79*C81","v":"00:01:40.206"},"00:01:51.780","00:10:13.414","00:10:15.202","00:06:29.434","00:15:09.755","00:07:28.816",null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",K79, \" and \",K81, \".\")","v":"Product of Rows 79 and 81."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"A F T E R (some calculations aren't annotated, since procedure is same as in \"Before\" section, except for average speed row)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Avg speed for entire trip",{"$f":"'Motor Vs'!G1011","v":20.661176061599758},{"$f":"'Motor Vs'!H1011","v":16.427743784700645},{"$f":"'Motor Vs'!I1011","v":9.8726835319879651},{"$f":"'Motor Vs'!J1011","v":8.5041950013088421},{"$f":"'Motor Vs'!K1011","v":10.702093472776907},{"$f":"'Motor Vs'!L1011","v":7.1683491347461699},{"$f":"'Motor Vs'!M1011","v":9.9320221317185222},null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O1011, \".\")","v":"Copied from 'Motor Vs' tab, Row 1011."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Change from \"before\" speed for entire trip",{"$f":"C87/C63-1","v":1.9203600889666994E-2},-0.1344862443933359,0.36466208684563139,0.17729076958495016,0.16007211799759946,0.21445646710712429,0.1629828342634807,null,{"$f":"ROW()","v":89}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of Row \",K87, \" to Row \",K63, \". It is shown for interest only, i.e., it doesn't factor directly into calculations here.\")","v":"Calculated as ratio of Row 87 to Row 63. It is shown for interest only, i.e., it doesn't factor directly into calculations here."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"% trip time that vehicle is motionless",{"$f":"$G$48*(24/C87)^0.5","v":0.16166624854556741},0.18130422282555059,0.2338725612954097,0.25198824097172123,0.22462728605856166,0.27446521135277696,0.23317288200492839,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"See explanatory note in Row \",K66, \".\")","v":"See explanatory note in Row 66."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Next rows deal with time in full motion",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"M (avg speed when in full motion)",{"$f":"$G$54*C87","v":26.659582014967427},21.197088754452444,12.738946492887697,10.973154840398506,13.809152868099234,9.2494827545111864,12.815512428023899,null,{"$f":"ROW()","v":94}]
[null,"% that time that speed <= threshold",{"$f":"NORMDIST($G$56,C94,$G$50*C94,TRUE)","v":1.0040776915781169E-2},1.5744937047815186E-2,5.6255154294041779E-2,8.6973029269545032E-2,4.4894034092331538E-2,0.14595399585090069,5.5305577337548158E-2,null,{"$f":"ROW()","v":95}]
[null,"% of all trip time that speed is below threshold",{"$f":"(1-2*$C91)*C95","v":6.7942674428666198E-3},1.0654087235602381E-2,3.8066034781902174E-2,5.8851822536242673E-2,3.0378333944763442E-2,9.8762325911999835E-2,3.7423486913931832E-2,null,{"$f":"ROW()","v":96}]
[null,"Next rows deal with accelerating or decelerating time",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"% that time that speed <= threshold",{"$f":"$G$56/C94","v":0.22505979263408685},0.28305773823491215,0.47099656187031402,0.54678896700796953,0.4344944296953005,0.64868492209185014,0.46818260554917007,null,{"$f":"ROW()","v":98}]
[null,"% of all trip time that speed is below threshold",{"$f":"$G91*C$75","v":5.1525400213797548E-2},5.5031521041522466E-2,0.1443794466644282,0.14459923385026738,0.11322223194443198,0.17696128582508547,0.12230693665688162,null,{"$f":"ROW()","v":99}]
[null,"% trip time that speed falls below threshold",{"$f":"C96+C99+C91","v":0.21998591620223157},0.24698983110267542,0.41631804274174011,0.4554392973582313,0.36822785194775709,0.55018882308986228,0.39290330557574182,null,{"$f":"ROW()","v":100}]
[null,"Trip time (in minutes and seconds)",{"$f":"$G$57/(C87*24)","v":"00:07:15.600"},"00:09:07.854","00:15:11.606","00:17:38.301","00:14:00.957","00:20:55.519","00:15:06.160",null,{"$f":"ROW()","v":101}]
[null,"Trip time \"stuck in traffic\" (in minutes & secs)",{"$f":"C100*C101","v":"00:01:35.826"},"00:02:15.314","00:06:19.518","00:08:01.992","00:05:09.664","00:11:30.773","00:05:56.033",null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Change in trip time stuck in traffic",{"$f":"C102/C83-1","v":-4.3715054463594027E-2},0.21054448172143125,-0.38130231524986236,-0.2165300603776833,-0.20483603134886175,-0.24070492352357697,-0.20672746908355677,null,{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Calculated with 'After' results in Row \",K102, \" and 'Before' reuslts in Row \",K83, \".\")","v":"Calculated with 'After' results in Row 102 and 'Before' reuslts in Row 83."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,"Mean change due to congestion pricing in \"time stuck in traffic\" for morning & afternoon rush periods (6-9 am, 2-8 pm), simple avg, no weighting",{"$f":"AVERAGE(E104,H104)","v":-0.31100361938671967},null,{"$f":"ROW()","v":106}]

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[null,"MTA Crossings",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"The Metropolitan Transportation Authority operates nine river crossings (two tunnels and seven bridges). All are entirely within the New York City limits, and all but one (Q Midtown Tunnel) were built under the aegis of Robert Moses, creator and ruler of the Triborough Bridge & Tunnel Authority until it was folded into the MTA, in 1968. All are tolled facilities. Indeed, their surplus toll revenues (in excess of debt amortization and O&M) are, by law, applied to support operations of the MTA's transit subsidiaries: the NYC Transit Authority, the Long Island Rail Road, and Metro-North Commuter Rail Road.",null,null,null,null,null,null,null,null,null,null,null,"Establish share of Triboro Br trips that enter or leave Manhattan ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculations prorate 2016 total bridge volume.against borough split in 2015 NYCDOT\n\"Manhattan River Crossings\" report. (Breakout is needed to reflect different E-ZP-use rates betw portals.)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Triborough Bridge 2016 volumes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Annual (000)",null,null,{"$f":"CONCATENATE(\"Cell S\",AL37, \". All trips, not just toll-pay.\")","v":"Cell S37. All trips, not just toll-pay."},null,null,{"$f":"S37","v":64472},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"These crossings figure prominently in NYC transportation and, thus, in this (BTA) spreadsheet. First, because of the revenues just noted. Second, because the proximity of tolled MTA crossings to untolled city-owned bridges, particularly on the East River, leads to gross distortion of \"natural\" travel patterns via \"toll-shopping.\" Third, the Sam Schwartz \"Move NY\" Toll Plan envisions lowering MTA bridge (but not tunnel) tolls; detailed modeling is required to assess the travel and revenue ramifications.",null,null,null,null,null,null,null,null,null,null,null,"Daily",null,null,"2017 Stantec Report, Table 10, p. 27.",null,null,171915,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Adjustment #1 to above figure: all days to weekdays",null,null,null,null,null,{"$f":"365/(weekday_per_yr+wkend_per_yr*Weekends!$L$21)","v":1.0494238113085192},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculated w/ factors that take into account # of weekdays and weekends/holidays in year, and relative volume on typical weekdays and weekends",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Adjustment #2 to above figure: paying trips to all trips",null,null,null,null,null,{"$f":"1/(1-1.25%)","v":1.0126582278481011},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"The primary source of data in this worksheet is the current (2018) edition of an annual report produced for the MTA by Stantec: \"History and Projection of Traffic, Toll Revenues and Expenses and Review of Physical Conditions of the Facilities of Triborough Bridge and Tunnel Authority,\" This edition is dated April 30, 2017 and is available at <http://web.mta.info/mta/investor/pdf/2018/AppendixE_043018.pdf>.",null,null,null,null,null,null,null,null,null,null,null,"Assumes 1.25% of Triborough traffic doesn't pay toll and is excluded from AADT figure in Stantec report.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Triboro Br total traffic, all boros, wkdys",null,null,{"$f":"CONCATENATE(\"Product of Rows \",AL9, \", \",AL10, \" and \",AL13, \".\")","v":"Product of Rows 9, 10 and 13."},null,null,{"$f":"T9*T10*T13","v":182695.38685681424},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"2015 split between trips relating to Manhattan, and trips not (weekdays, 24-h)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Inbound traffic to Manhattan",null,null,"NYCDOT, \"Manhattan River Crossings 2015,\" cover sheet.",null,null,51144,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,{"$f":"CONCATENATE(\"All toll levels in this worksheet are 1-way and are collected in both directions; w/ the exception of the Verrazano-Narrow Bridge toll, as noted in Row \",AL54, \".\")","v":"All toll levels in this worksheet are 1-way and are collected in both directions; w/ the exception of the Verrazano-Narrow Bridge toll, as noted in Row 54."},null,null,null,null,null,null,null,null,null,null,null,"Outbound traffic from Manhattan",null,null,null,null,null,40199,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Total traffic to/from Manhattan",null,null,{"$f":"CONCATENATE(\"Sum of Rows \",AL11, \" and \",AL12, \".\")","v":"Sum of Rows 11 and 12."},null,null,{"$f":"T17+T18","v":91343},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Use these internal links to navigate around this tab.",null,null,null,null,null,null,null,null,null,null,null,"Estimated share of Triboro Bridge traffic that enters or leaves Manhattan",null,null,null,null,null,{"$f":"T19/T15","v":0.49997431008802212},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Baseline (2017) MTA bridge and tunnel vehicle volumes and toll rates",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Rows \",AL19, \" to \",AL15, \".\")","v":"Ratio of Rows 19 to 15."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Baseline (2018) MTA bridge and tunnel revenue projections",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Calculate revenue change (loss) from altering (discounting) some or all MTA bridges",null,null,null,null,null,null,null,null,null,null,null,"Triborough Bridge 2017 projected toll-paying volume",null,null,null,null,null,65130,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Calculate revenue change (gain) from \"driving\" traffic to MTA tunnels",null,null,null,null,null,null,null,null,null,null,null,"2017 Stantec Report, Table 24.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Estimate revenue implications from exempting or discounting so-called double-tolling",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"A. Baseline: MTA Bridge & Tunnel Vehicle Volumes by Vehicle Classification (2017) and Toll Rates (effective March 31, 2019)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"1. Volumes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"All figures are in 000s, are annual, and are \"each way,\" so that number of round trips is one-half of figures shown.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,{"$f":"CONCATENATE(\"Source is Stantec report, Table 9, 'Traffic by Facility and Vehicle Class, 2017,' from p. 27 in 2018 report ref'd in Rows \",AL14,\"-\",AL16,\". Except penultimate col (proj 2017) is from Table 24, Est'd 2017 Toll-Paying Traffic and Toll Revenue. VNB figure is 2x # of westbound trips, and final col applies EZP % usage rates from Rows \",AL83,\"-\",AL92,\".\")","v":"Source is Stantec report, Table 9, 'Traffic by Facility and Vehicle Class, 2017,' from p. 27 in 2018 report ref'd in Rows 14-16. Except penultimate col (proj 2017) is from Table 24, Est'd 2017 Toll-Paying Traffic and Toll Revenue. VNB figure is 2x # of westbound trips, and final col applies EZP % usage rates from Rows 83-92."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"TBTA Vehicle Class #",null,1,2,3,4,5,6,7,8,9,10,11,12,13,14,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles","Other Vehicles","Total Toll-Paying Vehicles (2017)","Total Vehicles (2017)","Projected Toll-Paying Vehicles (2018)","Projected E-ZPass-Paying Vehicles (2018)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Verrazano Bridge",null,67051,39,34,2350,172,514,278,961,130,452,358,29,4,1,71922,72374,72907,{"$f":"T36*F83","v":68970.021999999997},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Triborough Br (Manhattan)",null,58536,37,21,3472,22,628,145,562,86,662,279,18,3,1,63810,64472,{"$f":"T20*T23","v":32563.326816032881},30218.767285278514,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Triborough Bridge (Bronx)",null,"Note that Stantec's 2016 volumes combine Triboro's Manhattan and Bronx spans, whereas its 2017 projections record them separately. Our projections (below) will prorate the total between the two spans.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(1-T20)*T23","v":32566.673183967123},30221.872714721492,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Bronx Whitestone Bridge",null,42768,20,15,1639,48,325,227,789,57,205,111,19,5,1,46023,46227,46380,42391.32,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Throgs Neck Bridge",null,39054,59,62,1868,3,364,330,1786,56,181,2,82,26,3,43694,43875,43852,40387.692000000003,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Brooklyn Battery Tunnel",null,16083,5,2,651,13,173,25,3,61,161,494,0,0,0,17510,17671,17727,17000.192999999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Queens Midtown Tunnel",null,22981,10,5,1463,52,216,28,9,34,130,265,0,0,0,25065,25195,25846,24605.392,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Henry Hudson Bridge",null,25266,6,3,239,0,4,1,1,36,69,0,0,0,0,25555,25624,25817,24500.332999999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Marine Parkway Bridge",null,7633,4,3,229,58,23,4,13,9,70,1,0,0,0,7977,8048,8050,7719.95,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Cross Bay Bridge",null,7793,5,5,362,140,64,7,14,15,101,36,0,0,0,8441,8542,8493,8025.8849999999993,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"S U M S (in thousands)",null,{"$f":"SUM(D36:D45)","v":287165},185,150,12273,508,2311,1045,4138,484,2031,1546,148,38,6,309997,312028,314202,294041.42700000003,{"$f":"U46/T46","v":0.93583563121813362},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Percents (of Total Veh's)",null,{"$f":"D46/$S$46","v":0.92031804838027353},5.9289550937736361E-4,4.8072608868434882E-4,3.9333008576153419E-2,1.6280590203443281E-3,7.4063866063302014E-3,3.3490584178342969E-3,1.3261630366505571E-2,1.5511428461548323E-3,6.5090312407860831E-3,4.9546835540400219E-3,4.7431640750189086E-4,1.2178394246670171E-4,1.9229043547373954E-5,0.99349096875921394,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Stantec's total, where diff:",null,null,null,151,12274,507,2312,1043,4139,485,2032,null,149,37,5,null,312029,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proj'd 2017 toll-pay veh's for Queens bridges, though includes 100% of Triborough so may overstate.",null,"Annual (000)","Daily (ATDT)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"2. Toll Levels (scheduled to take effect March 31, 2019)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"T46-T36-T41-T42-T43","v":171905},{"$f":"T50*1000/Constants!$J$6","v":520924.24242424243},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"CONCATENATE(\"All tolls are from MTA document, 'MTA Bridges and Tunnels Cars Toll Tables,' https://new.mta.info/sites/default/files/2019-03/B%26T_toll_tables_03-01-19.pdf, effective March 31, 2019. Except that Verrazano, Marine Parkway and Cross Bay Bridge tolls \" & \"incorporate resident discounts; those are listed in Section 4, and their effective impacts (wghtd avg reductions from nominal tolls) are shown in Cells M\",AL108, \" and N\",AL108, \" (Verrazano); and O\",AL108, \" and P\",AL108,\" (Marine Pkwy & Cross-Bay). Verrazano truck tolls also reflect 'VNB Commercial Rebate Program' entered in Row \",AL114, \".\")","v":"All tolls are from MTA document, 'MTA Bridges and Tunnels Cars Toll Tables,' https://new.mta.info/sites/default/files/2019-03/B%26T_toll_tables_03-01-19.pdf, effective March 31, 2019. Except that Verrazano, Marine Parkway and Cross Bay Bridge tolls incorporate resident discounts; those are listed in Section 4, and their effective impacts (wghtd avg reductions from nominal tolls) are shown in Cells M108 and N108 (Verrazano); and O108 and P108 (Marine Pkwy & Cross-Bay). Verrazano truck tolls also reflect 'VNB Commercial Rebate Program' entered in Row 114."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Annual > daily uses factor in 'Constants' tab, Row \",Constants!O6, \".\")","v":"Annual > daily uses factor in 'Constants' tab, Row 6."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Actual 2016 toll-pay veh's for all Queens x-ings, including QMT. Assumes \",T55*100, \"% of Trib trips have Queens component.\")","v":"Actual 2016 toll-pay veh's for all Queens x-ings, including QMT. Assumes 60% of Trib trips have Queens component."},null,"Annual (000)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"T55*(S37)+S39+S40+S42+S44+S45","v":170570.2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Note that tolls for Verrazano are charged in westbound direction, at twice rates shown, while eastbound travel is free.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"T53*1000/Constants!$J$6","v":516879.39393939392},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles",null,null,"Assumed Trib trips w/ Qns leg",0.6,"Daily (ATDT)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Same as directly above but excluding QMT:",{"$f":"(T53-S42)*1000/Constants!J6","v":440530.90909090912},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"E-ZPass",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Verrazano Bridge",null,{"$f":"M108","v":6.0640000000000001},{"$f":"D58+D83","v":10.064},{"$f":"E58+D83","v":14.064},{"$f":"G59*(1-$Q$114)","v":9.984},{"$f":"H59","v":4.17},{"$f":"I59*(1-$Q$114)","v":16.367999999999999},{"$f":"J59*(1-$Q$114)","v":20.918399999999998},{"$f":"K59*(1-$Q$114)","v":27.263999999999999},2.5099999999999998,"FN \"e\" to  2018 Stantec report Table 9 says Non-Rev.  Veh's \"Includes police, fire and other emergency vehicles and TBTA vehicles.\"",{"$f":"N59","v":4.95},{"$f":"O59*(1-$Q$114)","v":31.814399999999999},{"$f":"P59*(1-$Q$114)","v":38.169599999999996},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Triborough Br (Manhattan)",null,{"$f":"MTA_1Way_EZPass_2019","v":6.12},10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Triborough Bridge (Bronx)",null,6.12,10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Bronx Whitestone Bridge",null,6.12,10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Throgs Neck Bridge",null,6.12,10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Brooklyn Battery Tunnel",null,6.12,10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Queens Midtown Tunnel",null,6.12,10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,null,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Henry Hudson Bridge",null,{"$f":"HH_1Way_EZPass_2019","v":2.8},6.8,10.8,0,0,0,0,0,1.8,null,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Marine Parkway Bridge",null,{"$f":"O108","v":1.9590000000000001},4.9589999999999996,7.9589999999999996,5.2,2.08,8.5299999999999994,10.9,14.2,1.8,null,2.61,16.57,19.88,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Cross Bay Bridge",null,{"$f":"O108","v":1.9590000000000001},4.9589999999999996,7.9589999999999996,5.2,2.08,8.5299999999999994,10.9,14.2,1.8,null,2.61,16.57,19.88,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Verrazano Bridge",null,{"$f":"N108","v":8.6747499999999995},{"$f":"D69+D83","v":12.67475},{"$f":"E69+D83","v":16.67475},17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Triborough Br (Manhattan)",null,{"$f":"MTA_1Way_Cash_2019","v":9.5},13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Triborough Bridge (Bronx)",null,9.5,13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Bronx Whitestone Bridge",null,9.5,13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Throgs Neck Bridge",null,9.5,13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Brooklyn Battery Tunnel",null,9.5,13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Queens Midtown Tunnel",null,9.5,13.5,17.5,17,6.25,28,35,46,3.5,null,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Henry Hudson Bridge",null,{"$f":"HH_1Way_Cash_2019","v":7},11,15,0,0,0,0,0,3.5,null,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Marine Parkway Bridge",null,{"$f":"P108","v":3.6574999999999998},6.6574999999999998,9.6574999999999989,8.5,3,14,17.5,23,3.5,null,3.5,26.5,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Cross Bay Bridge",null,{"$f":"P108","v":3.6574999999999998},6.6574999999999998,9.6574999999999989,8.5,3,14,17.5,23,3.5,null,3.5,26.5,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"3. Other Toll-Related Data",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,"E-ZPass Participation Rates",null,null,"Triboro Splits",null,null,"(interesting comparison)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Cost per addit'l axle (same for E-ZPass & Cash)",null,null,null,2017,null,null,"(2017, projected)",null,null,2015,"∆, 2017/2015",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Verrazano Bridge",null,4,null,0.94599999999999995,{"$f":"CONCATENATE(\"Source: Stantec 2018 report, Table 2. Wghtd avg uses 2017 projected toll-paying veh's in Rows \",AL36, \"-\",AL45, \".  Result is close to Stantec 2016 avg of 85.9%.\")","v":"Source: Stantec 2018 report, Table 2. Wghtd avg uses 2017 projected toll-paying veh's in Rows 36-45.  Result is close to Stantec 2016 avg of 85.9%."},null,{"$f":"CONCATENATE(\"from Cells T\",AL37, \" & T\",AL38,\".\")","v":"from Cells T37 & T38."},null,null,0.86899999999999999,{"$f":"F83-L83","v":7.6999999999999957E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Triborough Br (Manhattan)",null,4,null,0.92800000000000005,null,null,{"$f":"T37/($T$37+$T$38)","v":0.49997431008802212},null,null,0.86299999999999999,6.5000000000000058E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Triborough Bridge (Bronx)",null,4,null,0.92800000000000005,null,null,{"$f":"T38/($T$37+$T$38)","v":0.50002568991197793},null,null,0.78600000000000003,0.14200000000000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Bronx Whitestone Bridge",null,4,null,0.91400000000000003,null,null,null,null,null,0.80800000000000005,0.10599999999999998,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Throgs Neck Bridge",null,4,null,0.92100000000000004,null,null,null,null,null,0.84699999999999998,7.4000000000000066E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Brooklyn Battery Tunnel",null,4,null,0.95899999999999996,null,null,null,null,null,0.90800000000000003,5.0999999999999934E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Queens Midtown Tunnel",null,4,null,0.95199999999999996,null,null,null,null,null,0.90100000000000002,5.0999999999999934E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Henry Hudson Bridge",null,4,null,0.94899999999999995,null,null,null,null,null,0.93500000000000005,1.3999999999999901E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Marine Parkway Bridge",null,3,null,0.95899999999999996,null,null,null,null,null,0.88900000000000001,6.9999999999999951E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Cross Bay Bridge",null,3,null,0.94499999999999995,null,null,null,null,null,0.85599999999999998,8.8999999999999968E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,{"$f":"CONCATENATE(\"Source is same as in Row \",AL51, \".\")","v":"Source is same as in Row 51."},null,null,"Weighted avg:",{"$f":"SUMPRODUCT($T36:$T45,F83:F92)/SUM($T36:$T45)","v":0.93583563121813362},null,null,null,null,null,{"$f":"SUMPRODUCT($T36:$T45,L83:L92)/SUM($T36:$T45)","v":0.85811719264942443},7.7718438568709192E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"4. TBTA Discount Programs ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Passenger Cars (available for qualifying residents of Staten Island and the Rockaways)",null,null,null,null,null,null,"Discounts available ",null,null,null,"Respective Crossings Receiving Discounts",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,"(VNB figures are half of actual westbound toll.)",null,null,null,{"$f":"CONCATENATE(\"MTA Bridges & Tunnels (See Row \",AL51,\")\")","v":"MTA Bridges & Tunnels (See Row 51)"},null,null,null,"Komanoff (fig's apply to respective E-ZP/cash categories)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Reduced rate prepaid charges available for 2-axle veh's [essentially, passenger veh's and light trucks w/ max gross weight =< 7,000 lb; includes vehicles w/ seating capacity =< 15 adults (incl. driver)]",null,null,null,null,null,null,"Verrazano-Narrows Bridge",null,"Marine Pkwy & X-Bay Br's",null,"Verrazano-Narrows Bridge",null,"Marine Pkwy & X-Bay Br's",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,"E-ZPass","Cash","E-ZPass","Cash","E-ZPass","Cash","E-ZPass","Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Prepaid chrg through reduced rate token roll purchase",null,null,null,null,null,null,null,null,null,2.5,null,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Prepaid chrg for registered Rockaway Peninsula/Broad Channel residents using eligible vehicle",null,null,null,null,null,null,null,null,{"$f":"Rock_Res_1Way_EZPass_2019","v":1.49},{"$f":"Rock_Res_1Way_Cash_2019","v":2.0499999999999998},null,null,0.3,0.15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Prepaid chrg for registered S.I. residents using eligible vehicle with 3 or more occupants (HOV)",null,null,null,null,null,null,null,{"$f":"0.5*(19-3.4)","v":7.8},null,null,null,0.05,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Prepaid chrg for registered S.I. residents using an eligible vehicle through token roll purchase",null,null,null,null,null,null,null,{"$f":"0.5*(19-9.87)","v":4.5650000000000004},null,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Registered S.I. residents using an eligible vehicle taking 3 or more trips per month",null,null,null,null,null,null,{"$f":"0.5*(19-6.88)","v":6.0600000000000005},null,null,null,0.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Registered S.I. residents using an eligible vehicle taking less than 3 trips per month",null,null,null,null,null,null,{"$f":"0.5*(19-7.26)","v":5.87},null,null,null,0.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,"VNB E-Z","VNB Cash","MP/XB E-Z","MP/XB Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Estimated avg toll paid in each direction by passenger cars (TBTA toll Category #1), based on est'd shares of trips using discounts",null,null,null,null,null,null,null,null,null,null,{"$f":"M105*I105+M106*I106+(1-M105-M106)*MTA_1Way_EZPass_2019","v":6.0640000000000001},{"$f":"N103*J103+N104*J104+(1-N103-N104)*MTA_1Way_Cash_2019","v":8.6747499999999995},{"$f":"O102*K102+(1-O102)*Bridges!H84","v":1.9590000000000001},{"$f":"P102*L102+P101*L101+(1-P102-P101)*Bridges!H83","v":3.6574999999999998},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,{"$f":"CONCATENATE(\"Figures in boxes in Row \",AL108, \" are weighted averages of discounted tolls and %'s of trips using discounts. Non-discounted trips pay full fares indicated in 'Bridges' worksheet tab, Rows \",Bridges!O79, \"-\",Bridges!O84, \".\")","v":"Figures in boxes in Row 108 are weighted averages of discounted tolls and %'s of trips using discounts. Non-discounted trips pay full fares indicated in 'Bridges' worksheet tab, Rows 79-84."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Average toll paid by passenger cars in each direction on VNB (weighting E-ZPass and cash payers)",null,null,null,null,null,null,null,null,null,null,"(Double this figure for round-trip VNB toll)",{"$f":"M108*N111++N108*(1-N111)","v":6.2049804999999996},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated w/ x-products of toll figures in Cells M\",AL107, \" and N\",AL107, \" and share of VNB vehicles using E-ZPass, taken from Table 2 of Stantec 2015 report and copied from Cell F\", AL83, \".\")","v":"Calculated w/ x-products of toll figures in Cells M107 and N107 and share of VNB vehicles using E-ZPass, taken from Table 2 of Stantec 2015 report and copied from Cell F83."},{"$f":"F83","v":0.94599999999999995},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Commercial Vehicles (applies to commercial vehicles that make > 10 trips / month across VNB using a NYC Service Center E-ZPass account)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Discount % ",0.2,null,"Estimated share of trips qualifying for discount)",null,null,null,0.2,null,"Effective discount for commercial vehicles (i.e., trucks; not buses or m/cycles):",null,null,null,null,null,{"$f":"C114*I114","v":4.0000000000000008E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Stantec report, p. E-8.",null,null,"Komanoff estimate. May be slightly higher for smaller trucks, and lower for larger ones.",null,null,null,null,null,{"$f":"CONCATENATE(\"Product of Cells C\",AL114, \"and I\",AL114, \".\")","v":"Product of Cells C114and I114."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"5. Projected 2018 \nRevenue ($ millions)",null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles","Other Vehicles","Total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,{"$f":"CONCATENATE(\"Figures in these arrays (one for E-ZPass, one for Cash payments) are calculated by multiplying projected volumes by \" & \"baseline (current) toll rates. Actual 2017 volumes in Cells R\",$AL$36, \"-R\",$AL$45, \" have been prorated to 2018 projected volumes in Cells T\",$AL$36, \"-T\",$AL$45, \". Those prorated volumes have been dichotomized into E-ZPass and Cash, using participation rates in Cells F\",$AL$83, \"-F\",$AL$92, \".\")","v":"Figures in these arrays (one for E-ZPass, one for Cash payments) are calculated by multiplying projected volumes by baseline (current) toll rates. Actual 2017 volumes in Cells R36-R45 have been prorated to 2018 projected volumes in Cells T36-T45. Those prorated volumes have been dichotomized into E-ZPass and Cash, using participation rates in Cells F83-F92."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"E-ZPass",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Avg Toll Paid",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Verrazano Bridge",null,{"$f":"D36*D58*$F83*($T$36/$R$36)/1000","v":389.90882126775966},0.37638633178877112,0.45854966824993743,22.49940552505214,0.68780148743472103,8.0678412520417115,5.5766304785870018,25.125318140422788,0.31290729093462355,0,{"$f":"N36*N58*$F83*($T$36/$R$36)/1000","v":1.6993656459247517},{"$f":"O36*O58*$F83*($T$36/$R$36)/1000","v":0.88474953657555666},{"$f":"P36*P58*$F83*($T$36/$R$36)/1000","v":0.14641184348217232},null,{"$f":"SUM(D121:Q121)","v":455.74418846825381},{"$f":"R121/U36*1000","v":6.6078591140402105},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D$37*D59*$F84*$I84/1000","v":166.21496794539701},0.17373123326116519,0.13757821089253472,16.753622357602715,4.256517289653694E-2,4.9679783330322618,1.4659558755750302,7.4054306907242946,0.10015389384615724,0,0.64077427543887433,0.27677105882104008,5.5343076336373732E-2,null,{"$f":"SUM(D122:Q122)","v":198.234872123824},6.5599920159680654,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D$37*D60*$F85*$I85/1000","v":166.23204901460306},0.17374908673883491,0.13759234910746534,16.75534404239729,4.2569547103463064E-2,4.9684888669677401,1.4661065244249696,7.4061917092757064,0.10016418615384279,0,0.64084012456112571,0.27679950117895996,5.5348763663626281E-2,null,198.2552437161761,6.5599920159680654,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D39*D61*$F86*($T$39/$R$39)/1000","v":241.08621514049935},0.18642859370314849,0.19508683866762275,15.700529826217329,0.18436535234991203,5.103989352063099,4.5560145548008615,20.639413815527018,0.13178033053907828,0,0.50609283997131882,0.57997346003519978,0.18311267009973275,null,289.05300277447361,6.8186837016274469,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Throgs Neck Bridge",null,{"$f":"D40*D62*$F87*($T$40/$R$40)/1000","v":220.92464986067108},0.55189918843227914,0.80919579540623432,17.95715132563739,1.1563373161532477E-2,5.7365792578019876,6.6465825253902144,46.884255703318537,0.12992387942326178,0,9.1508708472559167E-3,2.5118493444445464,0.95553578253124005,null,303.12833690706555,7.5054632214949422,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D41*D63*$F88*($T$41/$R$41)/1000","v":95.562211113436888},4.9126771319246143E-2,2.7417786997144488E-2,6.5732785086921757,5.263166547858366E-2,2.8637703759251858,0.52888949952884057,8.2719385699600204E-2,0.14865217305711018,0,2.3741046226670472,0,0,null,108.26280190280184,6.3683278126784701,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Queens Midtown Tunnel",null,{"$f":"D42*D64*$F89*($T$42/$R$42)/1000","v":138.06478607373791},9.9344331553959719E-2,6.9305432882505499E-2,14.936204283199681,0.21286388195810893,3.6152698048114904,0.59893244632116505,0.2509131536086176,8.3775150739277868E-2,0,1.2876969062836625,0,0,null,159.2190914650964,6.4709024536205888,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Henry Hudson Bridge",null,{"$f":"D43*D65*$F90*($T$43/$R$43)/1000","v":67.825128468730185},3.9116164601839164E-2,3.1062836595578174E-2,0,0,0,0,0,6.2125673191156333E-2,0,0,0,0,null,67.957433143118763,2.7737350811974175,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Marine Parkway Bridge",null,{"$f":"D44*D66*$F91*($T$44/$R$44)/1000","v":14.471201603065062},1.9196806844678446E-2,2.3107590090259492E-2,1.1524277873887425,0.11675250946471102,0.18986799429610127,4.2195038234925403E-2,0.17865146922401903,1.567797292215118E-2,0,2.5258956374576906E-3,0,0,null,16.211604667168107,2.099962391876645,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Cross Bay Bridge",null,{"$f":"D45*D67*$F92*($T$45/$R$45)/1000","v":14.515705368557635},2.3575621203056504E-2,3.7837944979860198E-2,1.7898265518303518,0.27687924558701571,0.51907251974884483,7.2547686944674797E-2,0.18902333112190495,2.5672182798246648E-2,0,8.9339196137898341E-2,0,0,null,17.539479648909488,2.1853639379220469,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Total (E-ZPass)",null,{"$f":"SUM(D121:D130)","v":1514.8057358564579},1.6925541294469788,1.9267344538691424,114.11779020801782,1.6279922354345848,36.032857756688422,20.953854629807683,108.16191739892248,1.110832733604906,0,7.2498903774693932,4.5301429010553029,1.3957521361131451,null,1813.6060548168875,6.1678589759288824,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Verrazano Bridge",null,{"$f":"D36*D69*(1-$F83)*($T$36/$R$36)/1000","v":31.839296195373908},2.7058594926649727E-2,3.103412325556856E-2,2.1868450696587987,5.884501751897895E-2,0.78781162058897214,0.532615832985735,2.4198165994827749,2.4906495787102717E-2,0,{"$f":"N36*N69*(1-$F83)*($T$36/$R$36)/1000","v":0.14207650508884637},{"$f":"O36*O69*(1-$F83)*($T$36/$R$36)/1000","v":8.4134690164344786E-2},{"$f":"P36*P69*(1-$F83)*($T$36/$R$36)/1000","v":1.4451241511637621E-2},null,{"$f":"SUM(D134:Q134)","v":38.148891986343315},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D$37*D70*(1-$F84)*$I84/1000","v":20.01828341127371},1.7981076088005615E-2,1.3229320244929055E-2,2.1247548248617485,4.9497456698714155E-3,0.63299147533831979,0.18269061290616315,0.9306241822364788,1.0835443248227609E-2,0,7.2815258572599309E-2,3.4342235411326041E-2,7.1276337646148397E-3,null,{"$f":"SUM(D135:Q135)","v":24.050625219615998},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D$37*D71*(1-$F85)*$I85/1000","v":20.020340588726263},1.7982923911994363E-2,1.3230679755070926E-2,2.1249731751382486,4.9502543301285775E-3,0.63305652466167939,0.18270938709383663,0.93071981776352009,1.0836556751772379E-2,0,7.2822741427400584E-2,3.4345764588673923E-2,7.1283662353851529E-3,null,24.053096780383978,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D39*D72*(1-$F86)*($T$39/$R$39)/1000","v":35.212496562153689},2.3400117332638023E-2,2.2750114073398078E-2,2.4148054416270117,2.60001303695978E-2,0.78867062121113329,0.68857011928818179,3.145495772113942,1.7290086695782539E-2,0,6.9745349716446095E-2,8.7273770940616613E-2,2.8600143406557581E-2,null,42.525098228928982,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Throgs Neck Bridge",null,{"$f":"D40*D73*(1-$F87)*($T$40/$R$40)/1000","v":29.416013731954031},6.3151034970476472E-2,8.6024950336430595E-2,2.5177956892937234,1.4866062846157363E-3,0.80807953348285766,0.91574947132329343,6.5137933823408218,1.5539991028516493E-2,0,1.1496421934361692E-3,0.34457551535679942,0.13605420716803218,null,40.819413755733045,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D41*D74*(1-$F88)*($T$41/$R$41)/1000","v":6.3419618115077157},2.8017974014848683E-3,1.4527838378069688E-3,0.45937024951456351,3.3725339091947486E-3,0.20106528315248445,3.6319595945174213E-2,5.7281191319246191E-3,8.8619814106225079E-3,0,0.14866129471730452,0,0,null,7.2095954505282753,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Queens Midtown Tunnel",null,{"$f":"D42*D75*(1-$F89)*($T$42/$R$42)/1000","v":10.805861490365059},6.6819102333931842E-3,4.3308677438659527E-3,1.2310058475164585,1.6086080191502108E-2,0.29934957845601462,4.8505718731298671E-2,2.0491191382405762E-2,5.8899801316576956E-3,0,9.5093481747456701E-2,0,0,null,12.533296146499113,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Henry Hudson Bridge",null,{"$f":"D43*D76*(1-$F90)*($T$43/$R$43)/1000","v":9.1124382294658677},3.4005095675992991E-3,2.3185292506358855E-3,0,0,0,0,0,6.4918819017804798E-3,0,0,0,0,null,9.1246491501858831,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Marine Parkway Bridge",null,{"$f":"D44*D77*(1-$F91)*($T$44/$R$44)/1000","v":1.1551004211953124},1.1018216748150942E-3,1.1987430895073346E-3,8.0536834022815654E-2,7.1992854456562677E-3,1.3322815594835162E-2,2.8962642597467748E-3,1.2371185909489792E-2,1.3033189168860483E-3,0,1.4481321298733871E-4,0,0,null,1.2751755033220515,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Cross Bay Bridge",null,{"$f":"D45*D78*(1-$F92)*($T$45/$R$45)/1000","v":1.5773167830485144},1.8420910511195371E-3,2.6721733873356253E-3,0.17027755656912702,2.3242305414050486E-2,4.9583584883307698E-2,6.7790057457647254E-3,1.7819100817438704E-2,2.9052881767563108E-3,0,6.9726916242151453E-3,0,0,null,1.8594105807176295,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Total (Cash)",null,{"$f":"SUM(D134:D143)","v":165.49910922506405},0.16540187715817617,0.17824228497454903,13.310364688202498,0.14613195913359608,4.2139310373696039,2.5968360082791944,13.996859351178799,0.10486102404910479,0,0.60948177830069217,0.58467197646176072,0.19336159208622739,null,201.59925280225829,null,null,null,null,null,"Elasticity Factors and Estimated % Change in Traffic in 2019",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(from Stantec, Table 22; added April 30, 30218)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"E-ZPass + Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calc. Rev.","Avg Toll Paid",null,"MTA Est Rev.",null,null,"Elasticity (E-Zpass only)",null,"Est' Change in Traffic (E-Zpass only)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Verrazano Bridge",null,{"$f":"D121+D134","v":421.74811746313355},{"$f":"E121+E134","v":0.40344492671542087},0.48958379150550596,24.686250594710938,0.7466465049537,8.8556528726306833,6.1092463115727371,27.545134739905563,0.33781378672172624,0,1.8414421510135981,0.96888422673990149,0.16086308499380994,null,{"$f":"SUM(D147:Q147)","v":493.89308045459705},{"$f":"1000*R147/T36","v":6.7742888948193878},{"$f":"CONCATENATE(\"Average toll paid in column to left is ratio of est'd 2017 revenues in Column R, Rows \",AL147, \"-\",AL156, \" to TBTA estimates of toll-paying trips in Column T, Rows \",AL36, \"-\",AL45, \".\")","v":"Average toll paid in column to left is ratio of est'd 2017 revenues in Column R, Rows 147-156 to TBTA estimates of toll-paying trips in Column T, Rows 36-45."},424.726,null,null,-8.5999999999999993E-2,null,-3.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D122+D135","v":186.23325135667071},0.1917123093491708,0.15080753113746379,18.878377182464465,4.7514918566408354E-2,5.6009698083705812,1.6486464884811933,8.3360548729607729,0.11098933709438484,0,0.71358953401147363,0.31111329423236611,6.247071010098857E-2,null,{"$f":"SUM(D148:Q148)","v":222.28549734344003},6.8262526921541546,null,{"$f":"I84*$V$148","v":222.8155511879674},445.654,null,-0.155,null,-6.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D123+D136","v":186.25238960332933},0.19173201065082926,0.15082302886253626,18.880317217535538,4.7519801433591642E-2,5.6015453916294193,1.6488159115188061,8.3369115270392271,0.11100074290561517,0,0.71366286598852624,0.31114526576763391,6.2477129899011434E-2,null,222.30834049656011,6.8262526921541546,null,{"$f":"I85*$V$148","v":222.83844881203262},null,null,-0.155,null,-6.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D124+D137","v":276.29871170265301},0.20982871103578651,0.21783695274102083,18.11533526784434,0.21036548271950983,5.892659973274232,5.2445846740890429,23.784909587640961,0.14907041723486081,0,0.5758381896877649,0.6672472309758164,0.21171281350629034,null,331.57810100340265,7.1491612980466295,null,329.54599999999999,null,null,-8.2000000000000003E-2,null,-3.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Throgs Neck Bridge",null,{"$f":"D125+D138","v":250.34066359262511},0.61505022340275561,0.89522074574266486,20.474947014931114,1.3049979446148214E-2,6.5446587912848457,7.5623319967135076,53.398049085659359,0.14546387045177828,0,1.0300513040692086E-2,2.8564248598013458,1.0915899896992722,null,343.94775066279863,7.8433765999908474,null,346.26299999999998,null,null,-8.2000000000000003E-2,null,-3.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D126+D139","v":101.9041729249446},5.1928568720731011E-2,2.8870570834951457E-2,7.0326487582067392,5.6004199387778411E-2,3.0648356590776702,0.56520909547401477,8.8447504831524817E-2,0.15751415446773268,0,2.5227659173843517,0,0,null,115.47239735333008,6.5139277572815519,null,108.376,null,null,-0.28399999999999997,null,-1.0999999999999999E-2,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Queens Midtown Tunnel",null,{"$f":"D127+D140","v":148.87064756410297},0.1060262417873529,7.3636300626371456E-2,16.167210130716139,0.22894996214961105,3.9146193832675049,0.64743816505246377,0.27140434499102334,8.9665130870935569E-2,0,1.3827903880311192,0,0,null,171.75238761159551,6.6452212184320789,null,165.577,null,null,-0.158,null,-6.0000000000000001E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Henry Hudson Bridge",null,{"$f":"D128+D141","v":76.937566698196051},4.2516674169438461E-2,3.338136584621406E-2,0,0,0,0,0,6.8617555092936808E-2,0,0,0,0,null,77.082082293304637,2.9857102797886914,null,85.328000000000003,null,null,-0.22500000000000001,null,-8.9999999999999993E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Marine Parkway Bridge",null,{"$f":"D129+D142","v":15.626302024260374},2.0298628519493541E-2,2.4306333179766826E-2,1.2329646214115582,0.12395179491036729,0.20319080989093644,4.5091302494672178E-2,0.19102265513350883,1.6981291839037228E-2,0,2.6707088504450294E-3,0,0,null,17.486780170490164,2.1722708286323185,null,17.661999999999999,null,null,-3.5999999999999997E-2,null,-1E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Cross Bay Bridge",null,{"$f":"D130+D143","v":16.093022151606149},2.541771225417604E-2,4.0510118367195827E-2,1.9601041083994788,0.30012155100106619,0.56865610463215255,7.9326692690439515E-2,0.20684243193934365,2.8577470975002957E-2,0,9.6311887762113482E-2,0,0,null,19.39889022962711,2.2841034062907233,null,18.850000000000001,null,null,-2.9000000000000001E-2,null,-1E-3,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Grand Tot. (E-ZP + Cash)",null,{"$f":"SUM(D147:D156)","v":1680.3048450815218},1.857956006605155,2.1049767388436913,127.42815489622031,1.7741241945681809,40.246788794058027,23.550690638086877,122.15877675010128,1.2156937576540106,0,7.8593721557700853,5.1148148775170643,1.5891137281993726,null,{"$f":"R131+R144","v":2015.2053076191457},"< -- Not a close match! -->",null,{"$f":"SUM(U147:U156)","v":1941.9819999999997},null,null,null,null,"Wghtd avg, w/ weights based on $ figs in Col. U",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"All figs. from Stantec, Table 24. Triboro #'s are prorated from Cell V\",AL148, \".\")","v":"All figs. from Stantec, Table 24. Triboro #'s are prorated from Cell V148."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Some Stantec 2018 revenue projections appear questionable. For example, projected H Hudson Br revenues of $85.3 million are predicated on an avg toll of $3.31 (see Stantec Table 24). Yet that bridge's E-Zpass toll is only $2.64, with participation rate of 94.9%, which appears to make an avg $3.31 toll almost impossible mathematically. ",null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT($U$147:$U$156,X147:X156)/$U$157","v":-0.12273047638958549},null,null,{"$f":"SUMPRODUCT($U$147:$U$156,Z147:Z156)/$U$157","v":-4.6167219881543698E-3},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"B. MTA Bridge & Tunnel Toll Rates and Revenues Under Various Toll-Change Proposals",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Circa 2007, former NYC Traffic Commissioner Sam Schwartz began to formulate and advance a proposal to reduce tolls on MTA crossings that don't directly funnel vehicles into the Manhattan CBD (i.e., all seven MTA bridges, counting the Triboro as one bridge; but not the two MTA tunnels). These discounts could be financed by making a proposed CBD toll 24/7, rather than the 12 hours a day, 5 days a week arrangement proposed by Mayor Michael Bloomberg.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Sam's proposal is now embodied in the Move NY Plan that includes 24/7 CBD tolls set at the level of the MTA tunnel tolls, along with a host of other features (some of which are noted in the Traffic Plans worksheet). To conform to the BTA architecture, which (currently) includes half-a-dozen complete \"canned\" scenarios (including the Move NY - Schwartz Plan with both a constant and a variable toll, along with a baseline scenario reflecting current tolls), this section inputs toll discounts envisioned in each of those scenarios.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"1. Tolls: Baseline (recapitulated) and Discounts (shown for autos only)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"The six scenarios (toll plans) encapsulated at right have been pre-programmed into this spreadsheet model. The one shown in black, at the far right, was pre-selected by the model's curator. (The user may choose a different plan via a drop-down menu in the Results worksheet page. To switch scenarios in that way, go to Results page. To tweak them, go to Policy Levers.)",null,null,null,null,1,2,3,4,5,6,"Chosen",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,{"$f":"Results!E27","v":"Baseline"},{"$f":"Results!F27","v":"Fix NYC lower-range plan"},{"$f":"Results!G27","v":"Fix NYC higher-range plan"},{"$f":"Results!H27","v":"Fix NYC turbo-charged"},{"$f":"Results!I27","v":"Move NY Plan (Flat Toll)"},{"$f":"Results!J27","v":"Move NY Plan w Variable Tolls"},{"$f":"Results!K27","v":"Fix NYC higher-range plan"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"Passenger Car Nominal Tolls, E-ZPass",null,null,null,null,{"$f":"CONCATENATE(\"(These values recapitulate the figures shown in Cells D\",AL58, \"-\",AL78, \".)\")","v":"(These values recapitulate the figures shown in Cells D58-78.)"},null,null,null,null,null,"$ figures in red in black block directly below correspond to chosen scenario. They're for display only and don't affect any other cells.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"MTA_1Way_EZPass_2019","v":6.12},6.12,6.12,6.12,6.12,6.12,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Henry Hudson Bridge",null,null,null,null,{"$f":"HH_1Way_EZPass_2019","v":2.8},2.8,2.8,2.8,2.8,2.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,{"$f":"Rockaway_1Way_EZPass_2019","v":2.29},2.29,2.29,2.29,2.29,2.29,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Passenger Car Nominal Tolls, Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"MTA_1Way_Cash_2019","v":9.5},9.5,9.5,9.5,9.5,9.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Henry Hudson Bridge",null,null,null,null,{"$f":"HH_1Way_Cash_2019","v":7},7,7,7,7,7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,{"$f":"Rockaway_1Way_Cash_2019","v":4.75},4.75,4.75,4.75,4.75,4.75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Proposed Changes to Passenger Car Tolls, E-ZPass",null,null,null,null,"Figures in array are proposed reductions (if any) from one-way car tolls.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"'Policy Levers'!E108","v":0},{"$f":"'Policy Levers'!F108","v":0},{"$f":"'Policy Levers'!G108","v":0},{"$f":"'Policy Levers'!H108","v":-1},{"$f":"'Policy Levers'!I108","v":-2.5},{"$f":"'Policy Levers'!J108","v":-2.5},{"$f":"INDEX($G188:$L188,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Henry Hudson Bridge",null,null,null,null,{"$f":"'Policy Levers'!E112","v":0},{"$f":"'Policy Levers'!F112","v":0},{"$f":"'Policy Levers'!G112","v":0},{"$f":"'Policy Levers'!H112","v":-0.5},{"$f":"'Policy Levers'!I112","v":-1},{"$f":"'Policy Levers'!J112","v":-1},{"$f":"INDEX($G189:$L189,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,{"$f":"'Policy Levers'!E113","v":0},{"$f":"'Policy Levers'!F113","v":0},{"$f":"'Policy Levers'!G113","v":0},{"$f":"'Policy Levers'!H113","v":-0.5},{"$f":"'Policy Levers'!I113","v":-1},{"$f":"'Policy Levers'!J113","v":-1},{"$f":"INDEX($G190:$L190,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Proposed Changes to Passenger Car Tolls, Cash",null,null,null,null,{"$f":"CONCATENATE(\"Figures in array are drawn from 'Policy Levers' tab, Rows \",'Policy Levers'!O104, \"-\",'Policy Levers'!O114,\", Columns E-J.\")","v":"Figures in array are drawn from 'Policy Levers' tab, Rows 104-114, Columns E-J."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"G188","v":0},0,0,-1,-2.5,-2.5,{"$f":"INDEX($G192:$L192,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Henry Hudson Bridge",null,null,null,null,0,0,0,-0.5,-1,-1,{"$f":"INDEX($G193:$L193,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,0,0,0,-0.5,-1,-1,{"$f":"INDEX($G194:$L194,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Implied % Changes to Passenger Car Tolls, E-ZPass",null,null,null,null,"Figures in array are percentage equivalent of proposed toll reductions.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"G188/G179","v":0},{"$f":"H188/H179","v":0},0,-0.16339869281045752,-0.40849673202614378,-0.40849673202614378,{"$f":"INDEX($G197:$L197,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},{"$f":"CONCATENATE(\"Figures shown in column from Cell M\",AL197, \" to Cell M\",AL203, \" are 'fed' into *baseline* toll rates for trucks, cars w/ trailers, and motorcycles to derive discounted tolls for those vehicles under selected scenario.\")","v":"Figures shown in column from Cell M197 to Cell M203 are 'fed' into *baseline* toll rates for trucks, cars w/ trailers, and motorcycles to derive discounted tolls for those vehicles under selected scenario."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Henry Hudson Bridge",null,null,null,null,{"$f":"G189/G180","v":0},0,0,-0.17857142857142858,-0.35714285714285715,-0.35714285714285715,{"$f":"INDEX($G198:$L198,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,{"$f":"G190/G181","v":0},0,0,-0.2183406113537118,-0.4366812227074236,-0.4366812227074236,{"$f":"INDEX($G199:$L199,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Implied % Changes to Passenger Car Tolls, Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Major Bridges (Triboro, Bx-Whitestone, Throgs, VNB)",null,null,null,null,{"$f":"G192/G183","v":0},0,0,-0.10526315789473684,-0.26315789473684209,-0.26315789473684209,{"$f":"INDEX($G201:$L201,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Henry Hudson Bridge",null,null,null,null,{"$f":"G193/G184","v":0},0,0,-7.1428571428571425E-2,-0.14285714285714285,-0.14285714285714285,{"$f":"INDEX($G202:$L202,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Minor Bridges (Marine Park + Cross-Bay Blvd)",null,null,null,null,{"$f":"G194/G185","v":0},0,0,-0.10526315789473684,-0.21052631578947367,-0.21052631578947367,{"$f":"INDEX($G203:$L203,1,MATCH(Results!$K$27,$G$173:$L$173,0))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"2. Proposed Toll Levels for All Vehicles (with applicable discounts, if any, based on the toll plan selected by the user or pre-programmed into this model)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,{"$f":"CONCATENATE(\"Tolls in array below are calculated by applying discounts to baseline tolls shown in large array from Cell D\",AL55, \" to Cell P\",AL78, \". Discounts for passenger cars are shown in Cells M\",AL188, \"-M\",AL194, \", and are additive (subtractive), whereas discounts for all other vehicle categories are shown in Cells M\",AL197, \"-M\",AL203, \" and are multiplicative. Note that neither of the MTA tunnels is discounted.\")","v":"Tolls in array below are calculated by applying discounts to baseline tolls shown in large array from Cell D55 to Cell P78. Discounts for passenger cars are shown in Cells M188-M194, and are additive (subtractive), whereas discounts for all other vehicle categories are shown in Cells M197-M203 and are multiplicative. Note that neither of the MTA tunnels is discounted."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Note that tolls for Verrazano are actually charged in the westbound direction, at twice the rates shown, while eastbound travel is free.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"E-ZPass Tolls (discounted)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Verrazano Bridge",null,{"$f":"D58+'Policy Levers'!K105","v":6.0640000000000001},{"$f":"E58*(1+$M$197)","v":10.064},14.064,9.984,4.17,16.367999999999999,20.918399999999998,27.263999999999999,2.5099999999999998,0,{"$f":"N58*(1+$M$197)","v":4.95},31.814399999999999,38.169599999999996,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D59+'Policy Levers'!K106","v":6.12},10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,{"$f":"M59*(1+$M$197)","v":0},4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D60+'Policy Levers'!K107","v":6.12},10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,{"$f":"M60*(1+$M$197)","v":0},4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D61+'Policy Levers'!K108","v":6.12},10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,{"$f":"M61*(1+$M$197)","v":0},4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Throgs Neck Bridge",null,{"$f":"D62+'Policy Levers'!K109","v":6.12},10.120000000000001,14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,{"$f":"M62*(1+$M$197)","v":0},4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D63+'Policy Levers'!K110","v":6.12},{"$f":"E63","v":10.120000000000001},14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,0,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Queens Midtown Tunnel",null,{"$f":"D64+'Policy Levers'!K111","v":6.12},{"$f":"E64","v":10.120000000000001},14.120000000000001,10.4,4.17,17.05,21.79,28.4,2.5099999999999998,0,4.95,33.14,39.76,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,"Henry Hudson Bridge",null,{"$f":"D65+'Policy Levers'!K112","v":2.8},{"$f":"E65*(1+$M198)","v":6.8},10.8,0,0,0,0,0,1.8,0,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Marine Parkway Bridge",null,{"$f":"D66+'Policy Levers'!K113","v":1.9590000000000001},{"$f":"E66*(1+$M$199)","v":4.9589999999999996},7.9589999999999996,5.2,2.08,8.5299999999999994,10.9,14.2,1.8,0,2.61,16.57,19.88,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Cross Bay Bridge",null,{"$f":"D67+'Policy Levers'!K114","v":1.9590000000000001},{"$f":"E67*(1+$M$199)","v":4.9589999999999996},7.9589999999999996,5.2,2.08,8.5299999999999994,10.9,14.2,1.8,0,2.61,16.57,19.88,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Cash Tolls (discounted)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,"Verrazano Bridge",null,{"$f":"D69+'Policy Levers'!K105","v":8.6747499999999995},{"$f":"E69*(1+$M$201)","v":12.67475},16.67475,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D70+'Policy Levers'!K106","v":9.5},{"$f":"E70*(1+$M$201)","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D71+'Policy Levers'!K107","v":9.5},{"$f":"E71*(1+$M$201)","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D72+'Policy Levers'!K108","v":9.5},{"$f":"E72*(1+$M$201)","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Throgs Neck Bridge",null,{"$f":"D73+'Policy Levers'!K109","v":9.5},{"$f":"E73*(1+$M$201)","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D74+'Policy Levers'!K110","v":9.5},{"$f":"E74","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Queens Midtown Tunnel",null,{"$f":"D75+'Policy Levers'!K111","v":9.5},{"$f":"E75","v":13.5},17.5,17,6.25,28,35,46,3.5,0,7.25,53,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Henry Hudson Bridge",null,{"$f":"D76+'Policy Levers'!K112","v":7},{"$f":"E76+'Policy Levers'!$K112","v":11},{"$f":"F76+'Policy Levers'!$K112","v":15},{"$f":"MAX(0,G76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,H76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,I76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,J76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,K76+'Policy Levers'!$K112)","v":0},{"$f":"L76+'Policy Levers'!$K112","v":3.5},{"$f":"MAX(0,M76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,N76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,O76+'Policy Levers'!$K112)","v":0},{"$f":"MAX(0,P76+'Policy Levers'!$K112)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,"Marine Parkway Bridge",null,{"$f":"D77+'Policy Levers'!K113","v":3.6574999999999998},{"$f":"E77*(1+$M$203)","v":6.6574999999999998},9.6574999999999989,8.5,3,14,17.5,23,3.5,0,3.5,26.5,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Cross Bay Bridge",null,{"$f":"D78+'Policy Levers'!K114","v":3.6574999999999998},{"$f":"E78*(1+$M$203)","v":6.6574999999999998},9.6574999999999989,8.5,3,14,17.5,23,3.5,0,3.5,26.5,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"3. Proj'd 2017 Revenue (w/ discounts, if any, under new toll plan)",null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles","Other Vehicles","Total Toll (Projected 2017)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,{"$f":"CONCATENATE(\"Figures in these arrays (one for E-ZPass, one for Cash payments) are calculated by multiplying projected volumes by \" & \"proposed toll rates shown in Rows \",AL212, \"-\",AL232, \". 2016 volumes in Cells R\",$AL$36, \"-R\",$AL$45, \" have been prorated to 2017 projected volumes in Cells T\",$AL$36, \"-T\",$AL$45, \". Those prorated volumes have been dichotomized into E-ZPass and Cash, using participation rates in Cells F\",$AL$83, \"-F\",$AL$92, \".\")","v":"Figures in these arrays (one for E-ZPass, one for Cash payments) are calculated by multiplying projected volumes by proposed toll rates shown in Rows 212-232. 2016 volumes in Cells R36-R45 have been prorated to 2017 projected volumes in Cells T36-T45. Those prorated volumes have been dichotomized into E-ZPass and Cash, using participation rates in Cells F83-F92."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"E-ZPass",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"Verrazano Bridge",null,{"$f":"D36*D212*$F83*($T$36/$R$36)/1000","v":389.90882126775966},0.37638633178877112,0.45854966824993743,22.49940552505214,0.68780148743472103,8.0678412520417115,5.5766304785870018,25.125318140422788,0.31290729093462355,0,1.6993656459247517,0.88474953657555666,0.14641184348217232,null,{"$f":"SUM(D239:Q239)","v":455.74418846825381},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D$37*D213*$F84*$I84/1000","v":166.21496794539701},0.17373123326116519,0.13757821089253472,16.753622357602715,4.256517289653694E-2,4.9679783330322618,1.4659558755750302,7.4054306907242946,0.10015389384615724,0,0.64077427543887433,0.27677105882104008,5.5343076336373732E-2,null,{"$f":"SUM(D240:Q240)","v":198.234872123824},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D$37*D214*$F85*$I85/1000","v":166.23204901460306},0.17374908673883491,0.13759234910746534,16.75534404239729,4.2569547103463064E-2,4.9684888669677401,1.4661065244249696,7.4061917092757064,0.10016418615384279,0,0.64084012456112571,0.27679950117895996,5.5348763663626281E-2,null,198.2552437161761,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D39*D215*$F86*($T$39/$R$39)/1000","v":241.08621514049935},0.18642859370314849,0.19508683866762275,15.700529826217329,0.18436535234991203,5.103989352063099,4.5560145548008615,20.639413815527018,0.13178033053907828,0,0.50609283997131882,0.57997346003519978,0.18311267009973275,null,289.05300277447361,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"Throgs Neck Bridge",null,{"$f":"D40*D216*$F87*($T$40/$R$40)/1000","v":220.92464986067108},0.55189918843227914,0.80919579540623432,17.95715132563739,1.1563373161532477E-2,5.7365792578019876,6.6465825253902144,46.884255703318537,0.12992387942326178,0,9.1508708472559167E-3,2.5118493444445464,0.95553578253124005,null,303.12833690706555,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D41*D217*$F88*($T$41/$R$41)/1000","v":95.562211113436888},4.9126771319246143E-2,2.7417786997144488E-2,6.5732785086921757,5.263166547858366E-2,2.8637703759251858,0.52888949952884057,8.2719385699600204E-2,0.14865217305711018,0,2.3741046226670472,0,0,null,108.26280190280184,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Queens Midtown Tunnel",null,{"$f":"D42*D218*$F89*($T$42/$R$42)/1000","v":138.06478607373791},9.9344331553959719E-2,6.9305432882505499E-2,14.936204283199681,0.21286388195810893,3.6152698048114904,0.59893244632116505,0.2509131536086176,8.3775150739277868E-2,0,1.2876969062836625,0,0,null,159.2190914650964,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"Henry Hudson Bridge",null,{"$f":"D43*D219*$F90*($T$43/$R$43)/1000","v":67.825128468730185},3.9116164601839164E-2,3.1062836595578174E-2,0,0,0,0,0,6.2125673191156333E-2,0,0,0,0,null,67.957433143118763,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Marine Parkway Bridge",null,{"$f":"D44*D220*$F91*($T$44/$R$44)/1000","v":14.471201603065062},1.9196806844678446E-2,2.3107590090259492E-2,1.1524277873887425,0.11675250946471102,0.18986799429610127,4.2195038234925403E-2,0.17865146922401903,1.567797292215118E-2,0,2.5258956374576906E-3,0,0,null,16.211604667168107,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"Cross Bay Bridge",null,{"$f":"D45*D221*$F92*($T$45/$R$45)/1000","v":14.515705368557635},2.3575621203056504E-2,3.7837944979860198E-2,1.7898265518303518,0.27687924558701571,0.51907251974884483,7.2547686944674797E-2,0.18902333112190495,2.5672182798246648E-2,0,8.9339196137898341E-2,0,0,null,17.539479648909488,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Total (E-ZPass)",null,{"$f":"SUM(D239:D248)","v":1514.8057358564579},{"$f":"SUM(E239:E248)","v":1.6925541294469788},1.9267344538691424,114.11779020801782,1.6279922354345848,36.032857756688422,20.953854629807683,108.16191739892248,1.110832733604906,0,7.2498903774693932,4.5301429010553029,1.3957521361131451,null,{"$f":"SUM(R239:R248)","v":1813.6060548168875},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Verrazano Bridge",null,{"$f":"D36*D223*(1-$F83)*($T$36/$R$36)/1000","v":31.839296195373908},2.7058594926649727E-2,3.103412325556856E-2,2.1868450696587987,5.884501751897895E-2,0.78781162058897214,0.532615832985735,2.4198165994827749,2.4906495787102717E-2,0,0.14207650508884637,8.4134690164344786E-2,1.4451241511637621E-2,null,{"$f":"SUM(D252:Q252)","v":38.148891986343315},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D$37*D224*(1-$F84)*$I84/1000","v":20.01828341127371},1.7981076088005615E-2,1.3229320244929055E-2,2.1247548248617485,4.9497456698714155E-3,0.63299147533831979,0.18269061290616315,0.9306241822364788,1.0835443248227609E-2,0,7.2815258572599309E-2,3.4342235411326041E-2,7.1276337646148397E-3,null,{"$f":"SUM(D253:Q253)","v":24.050625219615998},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D$37*D225*(1-$F85)*$I85/1000","v":20.020340588726263},1.7982923911994363E-2,1.3230679755070926E-2,2.1249731751382486,4.9502543301285775E-3,0.63305652466167939,0.18270938709383663,0.93071981776352009,1.0836556751772379E-2,0,7.2822741427400584E-2,3.4345764588673923E-2,7.1283662353851529E-3,null,24.053096780383978,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D39*D226*(1-$F86)*($T$39/$R$39)/1000","v":35.212496562153689},2.3400117332638023E-2,2.2750114073398078E-2,2.4148054416270117,2.60001303695978E-2,0.78867062121113329,0.68857011928818179,3.145495772113942,1.7290086695782539E-2,0,6.9745349716446095E-2,8.7273770940616613E-2,2.8600143406557581E-2,null,42.525098228928982,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"Throgs Neck Bridge",null,{"$f":"D40*D227*(1-$F87)*($T$40/$R$40)/1000","v":29.416013731954031},6.3151034970476472E-2,8.6024950336430595E-2,2.5177956892937234,1.4866062846157363E-3,0.80807953348285766,0.91574947132329343,6.5137933823408218,1.5539991028516493E-2,0,1.1496421934361692E-3,0.34457551535679942,0.13605420716803218,null,40.819413755733045,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D41*D228*(1-$F88)*($T$41/$R$41)/1000","v":6.3419618115077157},2.8017974014848683E-3,1.4527838378069688E-3,0.45937024951456351,3.3725339091947486E-3,0.20106528315248445,3.6319595945174213E-2,5.7281191319246191E-3,8.8619814106225079E-3,0,0.14866129471730452,0,0,null,7.2095954505282753,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,"Queens Midtown Tunnel",null,{"$f":"D42*D229*(1-$F89)*($T$42/$R$42)/1000","v":10.805861490365059},6.6819102333931842E-3,4.3308677438659527E-3,1.2310058475164585,1.6086080191502108E-2,0.29934957845601462,4.8505718731298671E-2,2.0491191382405762E-2,5.8899801316576956E-3,0,9.5093481747456701E-2,0,0,null,12.533296146499113,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Henry Hudson Bridge",null,{"$f":"D43*D230*(1-$F90)*($T$43/$R$43)/1000","v":9.1124382294658677},3.4005095675992991E-3,2.3185292506358855E-3,0,0,0,0,0,6.4918819017804798E-3,0,0,0,0,null,9.1246491501858831,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Marine Parkway Bridge",null,{"$f":"D44*D231*(1-$F91)*($T$44/$R$44)/1000","v":1.1551004211953124},1.1018216748150942E-3,1.1987430895073346E-3,8.0536834022815654E-2,7.1992854456562677E-3,1.3322815594835162E-2,2.8962642597467748E-3,1.2371185909489792E-2,1.3033189168860483E-3,0,1.4481321298733871E-4,0,0,null,1.2751755033220515,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,"Cross Bay Bridge",null,{"$f":"D45*D232*(1-$F92)*($T$45/$R$45)/1000","v":1.5773167830485144},1.8420910511195371E-3,2.6721733873356253E-3,0.17027755656912702,2.3242305414050486E-2,4.9583584883307698E-2,6.7790057457647254E-3,1.7819100817438704E-2,2.9052881767563108E-3,0,6.9726916242151453E-3,0,0,null,1.8594105807176295,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"Total (Cash)",null,{"$f":"SUM(D252:D261)","v":165.49910922506405},0.16540187715817617,0.17824228497454903,13.310364688202498,0.14613195913359608,4.2139310373696039,2.5968360082791944,13.996859351178799,0.10486102404910479,0,0.60948177830069217,0.58467197646176072,0.19336159208622739,null,{"$f":"SUM(R252:R261)","v":201.59925280225829},null,null,"Revenue impact of toll discount",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"E-ZPass + Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Avg Toll Paid","Avg Toll ∆",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"Verrazano Bridge",null,{"$f":"D239+D252","v":421.74811746313355},{"$f":"E239+E252","v":0.40344492671542087},0.48958379150550596,24.686250594710938,0.7466465049537,8.8556528726306833,6.1092463115727371,27.545134739905563,0.33781378672172624,0,1.8414421510135981,0.96888422673990149,0.16086308499380994,null,{"$f":"SUM(D265:Q265)","v":493.89308045459705},{"$f":"1000*R265/T36","v":6.7742888948193878},{"$f":"S265/S147-1","v":0},{"$f":"R265-R147","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Triborough Br (Manhattan)",null,{"$f":"D240+D253","v":186.23325135667071},0.1917123093491708,0.15080753113746379,18.878377182464465,4.7514918566408354E-2,5.6009698083705812,1.6486464884811933,8.3360548729607729,0.11098933709438484,0,0.71358953401147363,0.31111329423236611,6.247071010098857E-2,null,{"$f":"SUM(D266:Q266)","v":222.28549734344003},6.8262526921541546,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"Triborough Bridge (Bronx)",null,{"$f":"D241+D254","v":186.25238960332933},0.19173201065082926,0.15082302886253626,18.880317217535538,4.7519801433591642E-2,5.6015453916294193,1.6488159115188061,8.3369115270392271,0.11100074290561517,0,0.71366286598852624,0.31114526576763391,6.2477129899011434E-2,null,222.30834049656011,6.8262526921541546,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Bronx Whitestone Bridge",null,{"$f":"D242+D255","v":276.29871170265301},0.20982871103578651,0.21783695274102083,18.11533526784434,0.21036548271950983,5.892659973274232,5.2445846740890429,23.784909587640961,0.14907041723486081,0,0.5758381896877649,0.6672472309758164,0.21171281350629034,null,331.57810100340265,7.1491612980466295,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Throgs Neck Bridge",null,{"$f":"D243+D256","v":250.34066359262511},0.61505022340275561,0.89522074574266486,20.474947014931114,1.3049979446148214E-2,6.5446587912848457,7.5623319967135076,53.398049085659359,0.14546387045177828,0,1.0300513040692086E-2,2.8564248598013458,1.0915899896992722,null,343.94775066279863,7.8433765999908474,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"D244+D257","v":101.9041729249446},5.1928568720731011E-2,2.8870570834951457E-2,7.0326487582067392,5.6004199387778411E-2,3.0648356590776702,0.56520909547401477,8.8447504831524817E-2,0.15751415446773268,0,2.5227659173843517,0,0,null,115.47239735333008,6.5139277572815519,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"Queens Midtown Tunnel",null,{"$f":"D245+D258","v":148.87064756410297},0.1060262417873529,7.3636300626371456E-2,16.167210130716139,0.22894996214961105,3.9146193832675049,0.64743816505246377,0.27140434499102334,8.9665130870935569E-2,0,1.3827903880311192,0,0,null,171.75238761159551,6.6452212184320789,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"Henry Hudson Bridge",null,{"$f":"D246+D259","v":76.937566698196051},4.2516674169438461E-2,3.338136584621406E-2,0,0,0,0,0,6.8617555092936808E-2,0,0,0,0,null,77.082082293304637,2.9857102797886914,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"Marine Parkway Bridge",null,{"$f":"D247+D260","v":15.626302024260374},2.0298628519493541E-2,2.4306333179766826E-2,1.2329646214115582,0.12395179491036729,0.20319080989093644,4.5091302494672178E-2,0.19102265513350883,1.6981291839037228E-2,0,2.6707088504450294E-3,0,0,null,17.486780170490164,2.1722708286323185,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"Cross Bay Bridge",null,{"$f":"D248+D261","v":16.093022151606149},2.541771225417604E-2,4.0510118367195827E-2,1.9601041083994788,0.30012155100106619,0.56865610463215255,7.9326692690439515E-2,0.20684243193934365,2.8577470975002957E-2,0,9.6311887762113482E-2,0,0,null,19.39889022962711,2.2841034062907233,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Grand Tot. (E-ZP + Cash)",null,{"$f":"SUM(D265:D274)","v":1680.3048450815218},1.857956006605155,2.1049767388436913,127.42815489622031,1.7741241945681809,40.246788794058027,23.550690638086877,122.15877675010128,1.2156937576540106,0,7.8593721557700853,5.1148148775170643,1.5891137281993726,null,{"$f":"R249+R262","v":2015.2053076191457},null,{"$f":"(SUMPRODUCT(T265:T269,R147:R151)+SUMPRODUCT(T273:T274,R155:R156))/SUM(R147:R151,R155:R156)","v":0},{"$f":"SUM(U265:U274)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Average tolls above are ratios of est'd 2016 revenues in Col. R, Rows \",AL265, \"-\",AL274, \" to TBTA ests. of toll-paying trips in Column T, Rows \",AL36, \"-\",AL45, \".\")","v":"Average tolls above are ratios of est'd 2016 revenues in Col. R, Rows 265-274 to TBTA ests. of toll-paying trips in Column T, Rows 36-45."},"Wghtd avg toll reduxn in cell just above weights bridge % reduxns by baseline volumes. Excludes Bklyn-Battery & Qns-Mtown Tunnels.",{"$f":"CONCATENATE(\"Repective Cells R\",AL265, \"-R\",AL274, \" less Cells R\",AL147, \"-R\",AL156, \".\")","v":"Repective Cells R265-R274 less Cells R147-R156."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,"Grand Total Revenue (E-ZPass + Cash) for TBTA Bridges and Tunnels, Baseline (i.e., without any new discounts):",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"copied from Cell R\",AL157, \".\")","v":"copied from Cell R157."},{"$f":"R157","v":2015.2053076191457},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Revenue Difference (i.e., revenue change due to proposed discount provision)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell R\",AL275, \" less R\",AL277, \".\")","v":"Cell R275 less R277."},{"$f":"R275-R277","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"C. Estimating Traffic Generation Impacts from Possible Toll Changes for MTA Bridges",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,"Price-elasticity works in both directions. The same price-sensitivity that leads us to expect reduced driving into and through the Manhattan CBD once a cordon toll is implemented, should lead us to expect an increase in use of the MTA bridges once tolls on those bridges have been discounted. This section estimates the increases.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"Our approach is similar to that in the Motor Vs worksheet tab, though less elaborate and iterative. We (i) estimate the current (baseline) average cost of a trip on each bridge; (ii) calculate the percentage decrease in that cost from the bridge's toll discount; (iii) apply an estimated price-elasticity value to calculate the increase in volume. We then apply an estimated rebound factor (rather than actually calculating it, which would be a difficult and involved process), to reflect the diminution of the increase in volume due to increased traffic congestion.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,"The resulting traffic increase generates a revenue \"windfall\" for the MTA. Though the bump in revenue won't be nearly as great as the direct drop in revenue due to the toll discounts, it's not insignificant and deserves to be reflected in the bottom-line net-revenue estimate.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"However, the increase in traffic also generates slower travel times, not just on the bridges themselves but on the corridors in which the trips that use the bridges take place. The increased hours spent by the \"base\" number of vehicles due to the traffic infusion is estimated in Cols. S through AA.",null,null,null,null,null,null,null,null,null,null,"Re-routing of some LI-NJ trips from lower Manhattan will slightly outweigh reduction to CBD",null,"Reflects expected re-routing of some Queensboro Bridge trips ",null,"Reflects some net loss of trips to/from CBD",null,"These 9 columns calculate hours spent on trips that use MTA bridges, both now and projected for increased vehicle volumes generated by toll reductions. The heart of the calculations is this 3-step process: (i) infer traffic density for each bridge/corridor from assumed base speeds, using exponential relationship bewteen highway volumes and speeds dervied in tab, \"Speed-Vol., non-Cordon\"; (ii) prorate volumes by percentage increase in trip volumes estimated for each bridge; (iii) translate increased volumes into lower speeds, using same exponential relationship employed in first step.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,"The table below includes two rows for the MTA tunnels. That's for spreadsheet \"integrity\" only; the tunnels aren't included in revenue calculations.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,null,null,null,"Avg distance (miles) for 1-way car trips using crossing  Derived in column block at far right, beginning in Column AM","Amount spent on fuel (gasoline) per car trip on these crossings Assumes 20 mpg","Average current (2017) car toll for these 1-way trips (baseline tolls shown earlier) From Section A5, Column S","Other costs than two preceding items for 1-way car trips Komanoff ests. Figures vary due to parking, miles driven","Baseline driving cost  for car drivers Sum of three previous columns","Car toll\nchange (1-way, calc'd as difference in wghtd avg tolls) From Section B1, Col. M","Avg change in total cost of car trip using bridge, as a result of toll change Ratio of two previous columns","Bridge Usage trip change after toll change (uses wghtd avg of work + non-work elasticities)","Rebound effect (% of  trip change cancelled by increase in congestion). Komanoff assumptions. Values were increased Aug. 2018.","Other exogenous car-volume adj'ment  (applies to total trips, not rebound effect)  Komanoff assumptions","Net trip increase Calc'd as sum of Col. N and product of Col. L and complement of Col. M","Change in bridge trips from toll reduction Product of % change in Col. O and baseline trips in Section A1, Column T","Revenue change in bridge trips from toll reduction Product of trips change in Col. P and avg toll in Section B3, Column S","Change in total VMT (10^6) from change in bridge trips Product of trips change in Col. P and avg 1-way VMT in Col. E","Base avg speed (mph) for entire trip that includes bridge crossing Komanoff assumptions","Base avg hours for entire trip that includes bridge crossing Column E divided by Column S","Base avg traffic density (veh's per lane-mile) for entire trip Inferred from exponential rel'ship betw speeds and densities","New avg traffic density after toll change Base density in Col. U multiplied by one plus % increase in trips in Col. O","New avg speed (mph) for trip Calculated from exponential rel'ship betw speeds, and densities from Col. V","New avg hours for entire trip that includes bridge crossing Column E divided by Column W","Base total hours per year for all trips using this bridge Product of baseline trips in Section A1, and hrs/trip in Col. T","New total hours per year for all trips using this bridge Product of baseline trips in Section A1, and hrs/trip from Col. X","Increase in total hours per year for all trips using this bridge Difference between hrs in Col. Z and hrs in Col. Y",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297},"Data to estimate avg round-trip distances for trips using respective bridges. Figures are used to calculate results in Col. E"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298},"Toll $'s are 2004, from C. Gordon & J. R. Peters. \"Measuring Toll Burdens: Applying Lorenz Curves to a detailed dataset of users of MTA Bridges in New York City.\" Transportation Research Board - 90th Ann. Meeting. Jan. 2011, p. 6 of 17. Authors source their data to TBTA Survey. 'Highest Toll Burden Zip Code Tabulation Areas.' Avg. miles are by Komanoff. Gordon-Peters data are in toll dollars, whereas we use them as if they were in crossings. Difference between two metrics is probably minor."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301},"Toll $ paid by HH's w/i\n5 miles",null,"Toll $ paid by HH's w/i\n5-10 miles",null,"Toll $ paid by HH's w/i\n10-15 miles",null,"Toll $ paid by HH's past 15 miles",null,null,null,"Avg miles for trips > 15-mile cutoff (Komanoff est)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302},null,"Avg miles",null,"Avg miles",null,"Avg miles",null,"Avg miles","Total Toll $ for crossing"]
[null,"Crossing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303},null,2.5,null,7.5,null,12.5,null,"NA"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304},null,null,null,null,null,null,null,null,{"$f":"AM304+AO304+AQ304+AS304","v":0}]
[null,"Verrazano Bridge",null,null,{"$f":"AN305*$AN$303+AP305*$AP$303+AR305*$AR$303+AT305*AW305","v":16.8542645682958},{"$f":"E305*'Motor Vs'!$V$277/100/20","v":2.443868362402891},{"$f":"S147","v":6.7742888948193878},2,{"$f":"SUM(F305:H305)","v":11.218157257222279},{"$f":"'Policy Levers'!K105","v":0},{"$f":"J305/I305","v":0},{"$f":"(1+K305)^Elasticities!$I$66-1","v":0},0.5,{"$f":"IF(Results!$K$27=\"Baseline\",0,IF(Results!$K$27=\"Fix NYC lower-range plan\",2%,IF(Results!$K$27=\"Fix NYC higher-range plan\",2%,IF(Results!$K$27=\"Fix NYC turbo-charged\",2%,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",5%,5%)))))","v":0.02},{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L305)*(1-M305)+N305)","v":0.02},{"$f":"O305*T36*1000","v":1458140},{"$f":"P305*S265","v":9877861.6090919413},{"$f":"P305*E305/1000000","v":24.575877337614838},35,{"$f":"$E305/S305","v":0.48155041623702288},{"$f":"(LN(S305)-LN(Alpha))/Beta","v":58.534259467069269},{"$f":"U305*(1+O305)","v":59.704944656410653},{"$f":"Alpha*EXP(V305*Beta)","v":34.090121312188295},{"$f":"$E305/W305","v":0.49440318542574002},{"$f":"$T36*T305*1000","v":35108396.196592629},{"$f":"$T36*X305*1000","v":36045453.039834432},{"$f":"Z305-Y305","v":937056.84324180335},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305},75840991,{"$f":"AM305/$AU305","v":0.27792843500077818},67164651,{"$f":"AO305/$AU305","v":0.24613294332880556},28432903,{"$f":"AQ305/$AU305","v":0.10419579345052245},101441022,{"$f":"AS305/$AU305","v":0.37174282821989379},272879567,{"$f":"AU305/$AU305","v":1},35]
[null,"Triborough Bridge (Manhattan)",null,null,{"$f":"AN306*$AN$303+AP306*$AP$303+AR306*$AR$303+AT306*AW306","v":11.306344201483963},{"$f":"E306*'Motor Vs'!$V$277/100/20","v":1.6394199092151744},{"$f":"S148","v":6.8262526921541546},6,{"$f":"SUM(F306:H306)","v":14.465672601369329},{"$f":"'Policy Levers'!K106","v":0},{"$f":"J306/I306","v":0},{"$f":"(1+K306)^Elasticities!$I$66-1","v":0},0.5,{"$f":"IF(Results!$K$27=\"Baseline\",0,IF(Results!$K$27=\"Fix NYC lower-range plan\",2%,IF(Results!$K$27=\"Fix NYC higher-range plan\",2%,IF(Results!$K$27=\"Fix NYC turbo-charged\",2%,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",5%,5%)))))","v":0.02},{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L306)*(1-M306)+N306)","v":0.02},{"$f":"O306*T37*1000","v":651266.5363206577},{"$f":"P306*S266","v":4445709.9468688015},{"$f":"P306*E306/1000000","v":7.3634436265496124},25,{"$f":"$E306/S306","v":0.45225376805935852},{"$f":"(LN(S306)-LN(Alpha))/Beta","v":73.488581094678736},{"$f":"U306*(1+O306)","v":74.958352716572307},{"$f":"Alpha*EXP(V306*Beta)","v":24.186774206553714},{"$f":"$E306/W306","v":0.4674597821490542},{"$f":"$T37*T306*1000","v":14726887.253099225},{"$f":"$T37*X306*1000","v":15222045.659471186},{"$f":"Z306-Y306","v":495158.40637196042},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306},37220377,0.35376155066811116,23205980,0.22056153460168268,15775193,0.14993552423632714,29011628,0.27574139049387902,{"$f":"AM306+AO306+AQ306+AS306","v":105213178},1,25]
[null,"Triborough Bridge (Bronx)",null,null,{"$f":"AN307*$AN$303+AP307*$AP$303+AR307*$AR$303+AT307*AW307","v":12.373043740823597},{"$f":"E307*'Motor Vs'!$V$277/100/20","v":1.7940913424194218},{"$f":"S149","v":6.8262526921541546},2.5,{"$f":"SUM(F307:H307)","v":11.120344034573577},{"$f":"'Policy Levers'!K107","v":0},{"$f":"J307/I307","v":0},{"$f":"(1+K307)^Elasticities!$I$66-1","v":0},0.5,{"$f":"IF(Results!$K$27=\"Baseline\",0,IF(Results!$K$27=\"Fix NYC lower-range plan\",2%,IF(Results!$K$27=\"Fix NYC higher-range plan\",2%,IF(Results!$K$27=\"Fix NYC turbo-charged\",2%,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",5%,5%)))))","v":0.02},{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L307)*(1-M307)+N307)","v":0.02},{"$f":"O307*T38*1000","v":651333.46367934241},{"$f":"P307*S267","v":4446166.8099312019},{"$f":"P307*E307/1000000","v":8.0589774359666411},30,{"$f":"$E307/S307","v":0.41243479136078659},{"$f":"(LN(S307)-LN(Alpha))/Beta","v":65.385400792725179},{"$f":"U307*(1+O307)","v":66.69310880857968},{"$f":"Alpha*EXP(V307*Beta)","v":29.130156729553551},{"$f":"$E307/W307","v":0.42475033195652934},{"$f":"$T38*T307*1000","v":13431629.059944404},{"$f":"$T38*X307*1000","v":13832705.245609837},{"$f":"Z307-Y307","v":401076.18566543236},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307},26872950,0.24052081907439526,33749273,0.30206593563882539,17242641,0.15432671650584509,33863302,0.30308652878093423,111728166,1,25]
[null,"Bronx Whitestone Bridge",null,null,{"$f":"AN308*$AN$303+AP308*$AP$303+AR308*$AR$303+AT308*AW308","v":16.227062309412105},{"$f":"E308*'Motor Vs'!$V$277/100/20","v":2.3529240348647553},{"$f":"S150","v":7.1491612980466295},2,{"$f":"SUM(F308:H308)","v":11.502085332911385},{"$f":"'Policy Levers'!K108","v":0},{"$f":"J308/I308","v":0},{"$f":"(1+K308)^Elasticities!$I$66-1","v":0},0.5,null,{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L308)*(1-M308)+N308)","v":0},{"$f":"O308*T39*1000","v":0},{"$f":"P308*S268","v":0},{"$f":"P308*E308/1000000","v":0},32.5,{"$f":"$E308/S308","v":0.49929422490498787},{"$f":"(LN(S308)-LN(Alpha))/Beta","v":61.827947118345783},{"$f":"U308*(1+O308)","v":61.827947118345783},{"$f":"Alpha*EXP(V308*Beta)","v":32.5},{"$f":"$E308/W308","v":0.49929422490498787},{"$f":"$T39*T308*1000","v":23157266.151093334},{"$f":"$T39*X308*1000","v":23157266.151093334},{"$f":"Z308-Y308","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308},29406089,0.18677318316389727,40943894,0.26005571205015376,25059687,0.15916695042584328,62033109,0.39400415436010566,157442779,1,30]
[null,"Throgs Neck Bridge",null,null,{"$f":"AN309*$AN$303+AP309*$AP$303+AR309*$AR$303+AT309*AW309","v":17.76422474289495},{"$f":"E309*'Motor Vs'!$V$277/100/20","v":2.575812587719768},{"$f":"S151","v":7.8433765999908474},2,{"$f":"SUM(F309:H309)","v":12.419189187710614},{"$f":"'Policy Levers'!K109","v":0},{"$f":"J309/I309","v":0},{"$f":"(1+K309)^Elasticities!$I$66-1","v":0},0.5,null,{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L309)*(1-M309)+N309)","v":0},{"$f":"O309*T40*1000","v":0},{"$f":"P309*S269","v":0},{"$f":"P309*E309/1000000","v":0},35,{"$f":"$E309/S309","v":0.50754927836842711},{"$f":"(LN(S309)-LN(Alpha))/Beta","v":58.534259467069269},{"$f":"U309*(1+O309)","v":58.534259467069269},{"$f":"Alpha*EXP(V309*Beta)","v":34.999999999999986},{"$f":"$E309/W309","v":0.50754927836842734},{"$f":"$T40*T309*1000","v":22257050.955012266},{"$f":"$T40*X309*1000","v":22257050.955012277},{"$f":"Z309-Y309","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309},18609032,0.13519584340008106,34977003,0.25411023099923546,22026420,0.16002339234971563,62032546,0.45067053325096784,137645001,1,30]
[null,"Brooklyn Battery Tunnel",null,null,null,null,null,null,null,null,null,null,"These columns should be parametrized",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310},13654503,0.21838709018062957,30853559,0.49346497428184499,10097298,0.16149394298032602,7918954,0.12665399255719942,62524314,1,25]
[null,"Queens Midtown Tunnel",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311},22860813,0.23102626575178534,17478291,0.17663170165702496,13551164,0.13694503408562181,45063039,0.45539699850556786,98953307,1,30]
[null,"Henry Hudson Bridge",null,null,{"$f":"AN312*$AN$303+AP312*$AP$303+AR312*$AR$303+AT312*AW312","v":13.124697475060216},{"$f":"E312*'Motor Vs'!$V$277/100/20","v":1.9030811338837315},{"$f":"S154","v":2.9857102797886914},4,{"$f":"SUM(F312:H312)","v":8.888791413672422},{"$f":"'Policy Levers'!K112","v":0},{"$f":"J312/I312","v":0},{"$f":"(1+K312)^Elasticities!$I$66-1","v":0},0.5,{"$f":"IF(Results!$K$27=\"Baseline\",0,IF(Results!$K$27=\"Fix NYC lower-range plan\",-5%,IF(Results!$K$27=\"Fix NYC higher-range plan\",-5%,IF(Results!$K$27=\"Fix NYC turbo-charged\",-5%,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",-5%,-5%)))))","v":-0.05},{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L312)*(1-M312)+N312)","v":-0.05},{"$f":"O312*T43*1000","v":-1290850.0000000002},{"$f":"P312*S272","v":-3854104.1146652331},{"$f":"P312*E312/1000000","v":-16.942015735681483},27.5,{"$f":"$E312/S312","v":0.47726172636582603},{"$f":"(LN(S312)-LN(Alpha))/Beta","v":69.252573103375383},{"$f":"U312*(1+O312)","v":65.789944448206612},{"$f":"Alpha*EXP(V312*Beta)","v":29.728172029964789},{"$f":"$E312/W312","v":0.44149022892598494},{"$f":"$T43*T312*1000","v":12321465.989586532},{"$f":"$T43*X312*1000","v":11397953.240182152},{"$f":"Z312-Y312","v":-923512.7494043801},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312},7471129,0.19913681505155131,11366346,0.30296062900452397,6281681,0.1674330542960567,12398412,0.33046950164786798,37517568,1,25]
[null,"Marine Parkway Bridge",null,null,{"$f":"AN313*$AN$303+AP313*$AP$303+AR313*$AR$303+AT313*AW313","v":5.1306016090312907},{"$f":"E313*'Motor Vs'!$V$277/100/20","v":0.7439372333095372},{"$f":"S155","v":2.1722708286323185},1,{"$f":"SUM(F313:H313)","v":3.9162080619418558},{"$f":"'Policy Levers'!K113","v":0},{"$f":"J313/I313","v":0},{"$f":"(1+K313)^Elasticities!$I$66-1","v":0},0.25,null,{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L313)*(1-M313)+N313)","v":0},{"$f":"O313*T44*1000","v":0},{"$f":"P313*S273","v":0},{"$f":"P313*E313/1000000","v":0},30,{"$f":"$E313/S313","v":0.17102005363437636},{"$f":"(LN(S313)-LN(Alpha))/Beta","v":65.385400792725179},{"$f":"U313*(1+O313)","v":65.385400792725179},{"$f":"Alpha*EXP(V313*Beta)","v":30},{"$f":"$E313/W313","v":0.17102005363437636},{"$f":"$T44*T313*1000","v":1376711.4317567297},{"$f":"$T44*X313*1000","v":1376711.4317567297},{"$f":"Z313-Y313","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313},6989321,0.65291308798480241,2127509,0.19874297816704353,930945,8.6964981962341092E-2,657051,6.1378951885812993E-2,10704826,1,15]
[null,"Cross Bay Bridge",null,null,{"$f":"AN314*$AN$303+AP314*$AP$303+AR314*$AR$303+AT314*AW314","v":8.0787857814664257},{"$f":"E314*'Motor Vs'!$V$277/100/20","v":1.1714239383126317},{"$f":"S156","v":2.2841034062907233},1,{"$f":"SUM(F314:H314)","v":4.4555273446033548},{"$f":"'Policy Levers'!K114","v":0},{"$f":"J314/I314","v":0},{"$f":"(1+K314)^Elasticities!$I$66-1","v":0},0.25,null,{"$f":"IF(OR(Results!$K$27=\"Baseline\",Results!$K$27=\"East River Bridge Tolls only\"),0,(L314)*(1-M314)+N314)","v":0},{"$f":"O314*T45*1000","v":0},{"$f":"P314*S274","v":0},{"$f":"P314*E314/1000000","v":0},30,{"$f":"$E314/S314","v":0.2692928593822142},{"$f":"(LN(S314)-LN(Alpha))/Beta","v":65.385400792725179},{"$f":"U314*(1+O314)","v":65.385400792725179},{"$f":"Alpha*EXP(V314*Beta)","v":30},{"$f":"$E314/W314","v":0.2692928593822142},{"$f":"$T45*T314*1000","v":2287104.2547331452},{"$f":"$T45*X314*1000","v":2287104.2547331452},{"$f":"Z314-Y314","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314},653223,0.19387055826640948,1378550,0.40914091833594163,748901,0.22226690572174024,588703,0.17472161767590863,3369377,1,10]
[null,"Total",null,null,{"$f":"(SUMPRODUCT(AU305:AU309,E305:E309)+SUMPRODUCT(AU312:AU314,E312:E314))/(SUM(AU305:AU309)+SUM(AU312:AU314))","v":15.236953004217229},null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(P305:P314)","v":1469889.9999999998},{"$f":"SUM(Q305:Q314)","v":14915634.251226712},{"$f":"SUM(R305:R314)","v":23.056282664449608},null,null,null,null,null,null,null,null,{"$f":"SUM(AA305:AA314)","v":909778.68587481603},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315},{"$f":"SUM(AM304:AM314)","v":239578428},0.24006381711290548,{"$f":"SUM(AO305:AO314)","v":263245056},0.26377839401909992,{"$f":"SUM(AQ305:AQ314)","v":140146833},0.14043077236596987,{"$f":"SUM(AS305:AS314)","v":355007766},0.35572701650202471,997978083,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Triborough windfall, of which some is deducted from QBB in 'Bridges' tab.",{"$f":"N307*T8*1000","v":1289440},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,"O L D E R    D A T A    N O T    C E N T R A L    T O    M A I N    A N A L Y S I S",null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(Results!$K$27=\"Baseline\",E28,IF(Results!$K$27=\"Fix NYC lower-range plan\",F28,IF(Results!$K$27=\"Fix NYC higher-range plan\",G28,IF(Results!$K$27=\"Fix NYC turbo-charged\",H28,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",I28,J28)))))","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Stantec-TBTA Data for 2016 (000's)",null,null,"Stantec-TBTA Data for 2015 (000's)",null,null,"Stantec-TBTA Data for 2014 (000's)",null,null,"Stantec-TBTA Data for 2013 (000's)",null,null,"Stantec-TBTA Data for 2012 (000's)",null,null,"Stantec-TBTA Data for 2011 (000's)",null,null,"Stantec-TBTA Data for 2010 (000's)",null,null,"URS-TBTA Data for 2000 (000's)",null,null,"Pay Trips, 2010 vs. 2000",null,"URS-TBTA Data for 1991 (000's)",null,null,"Pay Trips, 2000 vs. 1991",null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"Apply to all vehicles (trucks + autos)",null,null,"All vehicles",null,"Apply to all vehicles (trucks + autos)",null,null,"All vehicles",null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","Paying Trips","Revenue","Avg Toll","10-y increase","Annualized","Paying Trips","Revenue","Avg Toll","9-y increase","Annualized",null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,{"$f":"R36","v":71922},{"$f":"U147*1000","v":424726},{"$f":"C323/B323","v":5.9053697060704655},66213,372347,{"$f":"F323/E323","v":5.6234727319408577},64007,345466,{"$f":"I323/H323","v":5.3973159185714064},65035,352370,{"$f":"L323/K323","v":5.4181594526024446},65626,326797,{"$f":"O323/N323","v":4.9796879285648981},66020,330886,{"$f":"R323/Q323","v":5.0119054831869132},68097,312873,{"$f":"U323/T323","v":4.5945195823604568},69107,203172,{"$f":"X323/W323","v":2.9399626665894916},{"$f":"T323/W323-1","v":-1.4615017292025412E-2},{"$f":"(1+Z323)^0.1-1","v":-1.4712035955141145E-3},61783,152912,{"$f":"AC323/AB323","v":2.4749850282440153},{"$f":"W323/AB323-1","v":0.11854393603418423},{"$f":"(1+AE323)^(1/9)-1","v":1.2525324336726262E-2},"Verrazano Bridge",null,null,null,null,{"$f":"ROW()","v":323}]
[null,{"$f":"R37","v":63810},{"$f":"V148*1000","v":445654},{"$f":"C324/B324","v":6.9840777307632029},62231,422756,{"$f":"F324/E324","v":6.7933345117385224},59902,393622,{"$f":"I324/H324","v":6.5710994624553436},58224,376769,{"$f":"L324/K324","v":6.471025693871943},57239,336781,{"$f":"O324/N324","v":5.8837680602386486},57510,339791,{"$f":"R324/Q324","v":5.9083811511041562},60107,326103,{"$f":"U324/T324","v":5.4253747483654147},63677,222612,{"$f":"X324/W324","v":3.4959561537132715},{"$f":"T324/W324-1","v":-5.6064199004350113E-2},{"$f":"(1+Z324)^0.1-1","v":-5.7530994329079155E-3},60137,151259,{"$f":"AC324/AB324","v":2.5152402015398172},{"$f":"W324/AB324-1","v":5.886559023562854E-2},{"$f":"(1+AE324)^(1/9)-1","v":6.3755866519770166E-3},"Triborough Bridge (Manhattan)",null,null,null,null,{"$f":"ROW()","v":324}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Triborough Bridge (Bronx)",null,null,null,null,{"$f":"ROW()","v":325}]
[null,{"$f":"R39","v":46023},{"$f":"U150*1000","v":329546},{"$f":"C326/B326","v":7.1604632466375504},42061,294022,{"$f":"F326/E326","v":6.9903711276479399},38488,260756,{"$f":"I326/H326","v":6.7749948035751402},39558,264174,{"$f":"L326/K326","v":6.6781434855149397},39478,240236,{"$f":"O326/N326","v":6.0853133390749274},37643,230669,6.1278059665807723,41050,229428,{"$f":"U326/T326","v":5.5889890377588305},42334,155938,3.6835167950111023,{"$f":"T326/W326-1","v":-3.0330231019983889E-2},{"$f":"(1+Z326)^0.1-1","v":-3.0752327351359909E-3},35993,93598,2.6004500875170171,{"$f":"W326/AB326-1","v":0.17617314477815138},1.8193077193286555E-2,"Bronx Whitestone Bridge",null,null,null,null,{"$f":"ROW()","v":326}]
[null,43694,346263,7.9247265070719095,42187,324702,7.6967312205181688,40840,302110,7.3974045053868753,39958,291433,7.2934831573151806,39376,260468,6.6148923201950423,40391,266307,6.5932262137604916,39381,240343,6.1030192224676876,37535,152453,4.061622485680032,4.9180764619688233E-2,4.8125066371882408E-3,36841,102726,2.7883607936809534,1.8837707988382579E-2,2.075759812482314E-3,"Throgs Neck Bridge",null,null,null,null,{"$f":"ROW()","v":327}]
[null,17510,108376,6.1893774985722443,17659,106881,6.0524944787360555,16940,99135,5.8521251475796934,16547,95549,5.7744001933885301,15902,83814,5.2706577788957363,16570,87879,5.3035003017501507,16096,79225,4.9220303180914513,21298,69018,3.240585970513663,-0.24424828622405859,-2.761575394592386E-2,20622,49321,2.3916690912617593,3.2780525652216008E-2,3.5902857461178606E-3,"Brooklyn Battery Tunnel",null,null,null,null,{"$f":"ROW()","v":328}]
[null,25065,165577,6.6059046479154198,28700,182382,6.3547735191637633,28998,178631,6.1601144906545278,27850,168982,6.0675763016157989,27759,153825,5.5414460175078357,28481,158668,5.5710122537832243,28459,146934,5.163006430303243,26573,89451,3.3662364053738756,7.0974297218981741E-2,6.8804414516243639E-3,26175,64143,2.4505444126074498,1.5205348615090708E-2,1.6781738867757134E-3,"Queens Midtown Tunnel",null,null,null,null,{"$f":"ROW()","v":329}]
[null,25555,85328,3.3389943259636081,23194,71388,3.077864965077175,22235,64879,2.917877220598156,21830,62444,2.8604672469079251,21939,57828,2.6358539587036782,22185,59246,2.6705431597926528,23058,54452,2.3615231156214764,22546,31938,1.4165705668411248,2.2709128004967605E-2,2.2480344677666686E-3,19813,21733,1.0969060717710595,0.13793973653661729,1.4461275713631538E-2,"Henry Hudson Bridge",null,null,null,null,{"$f":"ROW()","v":330}]
[null,7977,17662,2.2141155822991099,7553,16269,2.1539785515689132,7399,15578,2.1054196513042305,7814,16633,2.1286153058612745,7829,15698,2.005109209349853,7523,14003,1.8613585005981657,7838,13774,1.757336055116101,7207,8374,1.1619259053697795,8.7553767170806207E-2,8.4284131310048416E-3,8009,8109,1.0124859533025345,-0.10013734548632791,-1.1655226909356609E-2,"Marine Parkway Bridge",null,null,null,null,{"$f":"ROW()","v":331}]
[null,8441,18850,2.2331477313114561,7954,17517,2.2022881569021875,7753,16906,2.1805752611892171,7712,16840,2.1836099585062239,7498,15535,2.0718858362229926,7148,14139,1.9780358142137662,7627,13914,1.8243083781303264,6356,7651,1.2037444933920705,0.19996853366897427,1.8396705674522229E-2,5661,6213,1.0975092739798622,0.12276982865218167,1.2949651349257962E-2,"Cross Bay Bridge",null,null,null,null,{"$f":"ROW()","v":332}]
[null,{"$f":"SUM(B323:B332)","v":309997},{"$f":"SUM(C323:C332)","v":1941982},6.2645186888905373,{"$f":"SUM(E323:E332)","v":297752},{"$f":"SUM(F323:F332)","v":1808264},6.0730540852790238,{"$f":"SUM(H323:H332)","v":286562},{"$f":"SUM(I323:I332)","v":1677083},5.8524263510165335,{"$f":"SUM(K323:K332)","v":284528},{"$f":"SUM(L323:L332)","v":1645194},5.7821866389248155,{"$f":"SUM(N323:N332)","v":282646},{"$f":"SUM(O323:O332)","v":1490982},5.27508615016664,{"$f":"SUM(Q323:Q332)","v":283471},{"$f":"SUM(R323:R332)","v":1501588},5.2971485619340246,{"$f":"SUM(T323:T332)","v":291713},{"$f":"SUM(U323:U332)","v":1417046},4.8576717527158539,{"$f":"SUM(W323:W332)","v":296633},{"$f":"SUM(X323:X332)","v":940607},3.1709452421005082,-1.6586151911621383E-2,-1.6711263364411755E-3,{"$f":"SUM(AB323:AB332)","v":275034},{"$f":"SUM(AC323:AC332)","v":650014},2.363395071154839,7.8532108757462638E-2,8.4354863436069127E-3,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"All figures are from April 28, 2017 Stantec \"History and Projection\" report for TBTA, available at <web.mta.info/mta/investor/pdf/2017/AppendixEStantec.pdf>, Table 6. Except sums are by C.K.",null,null,"All figures are preliminary and are from April 29, 2016 Stantec \"History and Projection\" report for TBTA, available at <http://web.mta.info/mta/investor/pdf/2016/AppendixE_Stantec.pdf>, Table 5. Except sums are by C.K.",null,null,"All figures are preliminary and are from April 29, 2016 Stantec \"History and Projection\" report for TBTA, available at <http://web.mta.info/mta/investor/pdf/2016/AppendixE_Stantec.pdf>, Table 5. Except sums are by C.K.",null,null,"All figures are preliminary and are from April 26, 2013 Stantec \"History and Projection\" report for TBTA, available at <<http://www.mta.info/mta/investor/pdf/2013/StantecEngineerReport042613.pdf>, Table 5. Except sums are by C.K.",null,null,"All figures are preliminary and are from April 26, 2013 Stantec \"History and Projection\" report for TBTA, available at <<http://www.mta.info/mta/investor/pdf/2013/StantecEngineerReport042613.pdf>, Table 5. Except sums are by C.K.",null,null,"All figures are final and are from April 26, 2013 Stantec \"History and Projection\" report for TBTA, available at <<http://www.mta.info/mta/investor/pdf/2013/StantecEngineerReport042613.pdf>, Table 5. Except sums are by C.K.",null,null,"All figures are final and are from April 26, 2013 Stantec \"History and Projection\" report for TBTA, available at <<http://www.mta.info/mta/investor/pdf/2013/StantecEngineerReport042613.pdf>, Table 5. Except sums are by C.K.",null,null,"Figures from April 29, 2011 \"History and Projection\" report for TBTA, available at <http://www.mta.info/mta/investor/pdf/2011/APPENDIX%20E%202011%20URS%20REPORT.PDF>. Sums are by C.K. Note that this and earlier reports were by URS Corp.",null,null,"Calculated by Komanoff from preceding column blocks.",null,"Just like 2000 figures to left, these figures are from Table 5 of a URS \"History and Projection\" report for TBTA. This one is dated Sept. 4, 2002, and does not appear to be Web-available. Sums are by C.K.",null,null,"Calculated by Komanoff from preceding column blocks.",null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,"D. \"Double-Tolling\": This section estimates trips on MTA \"major\" bridges that would be exempted from tolls if CBD toll plan bars \"double-tolling\"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,null,null,null,"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)","(9)","(10)","(11)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,"Calc's w/ baseline tolls on MTA bridges",null,"Calc's w/ discounted tolls on MTA bridges",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,null,null,null,"Share of trips that go to (or came from) CBD","Projected Toll-Paying Vehicles, 000 (2018)","Projected E-ZPass Trip Shares","Trips exempted if bar double toll  (000)","Major or Minor Bridge","Avg E-ZPass toll (includes any current discounts)","Potential Lost Revenue ($millions/yr)","Avg % toll discount under user-chosen plan","Avg $ toll discount under user-chosen plan","Avg effective toll (includes \"plan\" discount)","Potential Lost Revenue ($millions/yr)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Verrazano Bridge",null,null,0.05,{"$f":"T36","v":72907},{"$f":"Cordon!$J$110","v":0.95},{"$f":"G349*F349*E349","v":3463.0825},"Major",{"$f":"S121","v":6.6078591140402105},{"$f":"$H349*J349/1000","v":22.883561260298155},{"$f":"$M$197","v":0},{"$f":"L349*J349","v":0},{"$f":"J349+M349","v":6.6078591140402105},{"$f":"$H349*N349/1000","v":22.883561260298155},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,"Triborough Bridge (Manhattan Plaza)",null,null,0.22,{"$f":"T37","v":32563.326816032881},{"$f":"Cordon!$J$110","v":0.95},6805.7353045508717,"Major",{"$f":"S122","v":6.5599920159680654},44.645569260645708,{"$f":"$M$197","v":0},0,6.5599920159680654,44.645569260645708,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Triborough Bridge (Bronx)",null,null,0.02,{"$f":"T38","v":32566.673183967123},{"$f":"Cordon!$J$110","v":0.95},618.76679049537529,"Major",{"$f":"S123","v":6.5599920159680654},4.0591052053958467,{"$f":"$M$197","v":0},0,6.5599920159680654,4.0591052053958467,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,"Bronx Whitestone Bridge",null,null,0.1,{"$f":"T39","v":46380},{"$f":"Cordon!$J$110","v":0.95},4406.1000000000004,"Major",{"$f":"S124","v":6.8186837016274469},30.043802257740694,{"$f":"$M$197","v":0},0,6.8186837016274469,30.043802257740694,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Throgs Neck Bridge",null,null,0.02,{"$f":"T40","v":43852},{"$f":"Cordon!$J$110","v":0.95},833.1880000000001,"Major",{"$f":"S125","v":7.5054632214949422},6.2534618905909287,{"$f":"$M$197","v":0},0,7.5054632214949422,6.2534618905909287,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,"Henry Hudson Bridge",null,null,0.34,{"$f":"T43","v":25817},0.95,8338.8909999999996,"Minor",{"$f":"S128","v":2.7737350811974175},23.129874504981412,{"$f":"M198","v":0},0,2.7737350811974175,23.129874504981412,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"T O T A L",null,null,null,{"$f":"SUM(F349:F354)","v":254086},null,{"$f":"SUM(H349:H354)","v":24465.76359504625},null,null,{"$f":"SUM(K349:K354)","v":131.01537437965274},null,null,null,{"$f":"SUM(O349:O354)","v":131.01537437965274},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"(1) Trip shares are personal communication on 24-May-2019 from RPA senior fellow Jeff Zupan (Verrazano, Triborough Manhattan, Henry Hudson); rough estimates from Sam Schwartz, personal communication, 12 August 2015. Figure for Bronx Whitestone Bridge is Komanoff estimate pivoting off Zupans' Triborough Manhattan estimate.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,{"$f":"CONCATENATE(\"(2) # vehicles are from this tab, Rows \",AL36,\"-\",AL43,\".\")","v":"(2) # vehicles are from this tab, Rows 36-43."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,{"$f":"CONCATENATE(\"(3) Projected E-ZPass trip shares are projections for CBD crossings from 'Cordon' tab, Row \",Cordon!P109,\", except HH Bridge set higher to reflect 94.4% in MTA 'E-ZPass Performance Report, Dec. 2013.' p. 3 of 8.\")","v":"(3) Projected E-ZPass trip shares are projections for CBD crossings from 'Cordon' tab, Row 109, except HH Bridge set higher to reflect 94.4% in MTA 'E-ZPass Performance Report, Dec. 2013.' p. 3 of 8."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"(4) Exempted trips are product of prior three columns.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,{"$f":"CONCATENATE(\"(5) is defined throughout this spreadsheet, except that effective toll for VNB is from Cell M\",AL108, \" and reflects bulk discounts for S.I. residents.\")","v":"(5) is defined throughout this spreadsheet, except that effective toll for VNB is from Cell M108 and reflects bulk discounts for S.I. residents."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,{"$f":"CONCATENATE(\"(6) is copied from Rows \",AL121, \"-\",AL128, \" and pertains only to trips paid w/ E-ZPass.\")","v":"(6) is copied from Rows 121-128 and pertains only to trips paid w/ E-ZPass."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"(7) is product of Columns (4) and (6).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,{"$f":"CONCATENATE(\"(8) is copied from Cell M\",AL197, \", except that Henry Hudson Bridge discount is copied from Cell M\",AL198, \".\")","v":"(8) is copied from Cell M197, except that Henry Hudson Bridge discount is copied from Cell M198."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,"(9) is product of Columns (6) and (8).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"(10) is sum of Columns (6) and (9).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,"(11) is product of Columns (4) and (10).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,"Allocation of potential lost revenue to tolls for different types of vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,null,null,null,"Weekdays",null,null,null,null,null,null,"Weekends/Holidays",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":371}]
[null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus","Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"Base trips crossing cordon per day",null,null,{"$f":"SUM(F373:K373)","v":613400},{"$f":"'Motor Vs'!I85","v":225700},{"$f":"'Motor Vs'!J85","v":158700},{"$f":"'Motor Vs'!K85","v":100500},{"$f":"'Motor Vs'!L85","v":32900},{"$f":"'Motor Vs'!M85","v":40700},{"$f":"'Motor Vs'!N85","v":54900},{"$f":"SUM(M373:R373)","v":521400},{"$f":"'Motor Vs Weekends'!I85","v":79800},{"$f":"'Motor Vs Weekends'!J85","v":239300},{"$f":"'Motor Vs Weekends'!K85","v":102000},{"$f":"'Motor Vs Weekends'!L85","v":30300},{"$f":"'Motor Vs Weekends'!M85","v":16200},{"$f":"'Motor Vs Weekends'!N85","v":53800},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",'Motor Vs'!O85, \" of 'Motor Vs' and 'Motor Vs Weekends' tabs.\")","v":"Copied from Row 85 of 'Motor Vs' and 'Motor Vs Weekends' tabs."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"Base trips crossing cordon per yr (000)",null,null,{"$f":"E373*wkday_per_yr/1000","v":153350},56425,39675,25125,8225,10175,13725,{"$f":"L373*wkend_per_yr/1000","v":59961},9177,27519.5,11730,3484.5,1863,6187,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,{"$f":"CONCATENATE(\"Product of figures in Row \",AL373, \" and number of weekdays or weekend days and holidays per year.\")","v":"Product of figures in Row 373 and number of weekdays or weekend days and holidays per year."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,"Non-taxi trips cross cordon per yr (000)",null,null,{"$f":"E375-I375+L375-P375","v":201601.5},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377}]
[null,{"$f":"CONCATENATE(\"Calculated from figures in Row \",AL375, \", subtracting respective taxicab trips from weekdays and weekend/holidays totals. Warranted because taxis don't pay cordon charge in most scenarios.\")","v":"Calculated from figures in Row 375, subtracting respective taxicab trips from weekdays and weekend/holidays totals. Warranted because taxis don't pay cordon charge in most scenarios."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,"Shares of all annual (non-taxi) trips",null,null,{"$f":"SUM(F379:K379)","v":0.71986071532205864},{"$f":"F375/$E$377","v":0.2798838302294378},{"$f":"G375/$E$377","v":0.19679913095884705},{"$f":"H375/$E$377","v":0.12462704890588612},null,{"$f":"J375/$E$377","v":5.0470854631537956E-2},{"$f":"K375/$E$377","v":6.8079850596349731E-2},{"$f":"SUM(M379:R379)","v":0.28013928467794141},{"$f":"M375/$E$377","v":4.552049463917679E-2},{"$f":"N375/$E$377","v":0.13650444069116549},{"$f":"O375/$E$377","v":5.8184090892180865E-2},null,{"$f":"Q375/$E$377","v":9.2410026711110781E-3},{"$f":"R375/$E$377","v":3.068925578430716E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"Calculated by dividing figures in Row \",AL375, \", by non-taxi total in Row \",AL377, \".\")","v":"Calculated by dividing figures in Row 375, by non-taxi total in Row 377."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,"Average base round-trip toll for each trip type ",null,null,null,{"$f":"'Motor Vs'!W282","v":10.280468418395474},{"$f":"'Motor Vs'!AF282","v":9.0851292007847491},{"$f":"'Motor Vs'!AO282","v":7.5752372889949102},null,{"$f":"'Motor Vs'!BG282","v":23.317122403085939},{"$f":"'Motor Vs'!BP282","v":7.8128595491078716},null,{"$f":"'Motor Vs Weekends'!W282","v":6.2476898523389899},{"$f":"'Motor Vs Weekends'!AF282","v":7.8600974677703919},{"$f":"'Motor Vs Weekends'!AO282","v":6.1738393918262719},null,{"$f":"'Motor Vs Weekends'!BG282","v":17.911455605223974},{"$f":"'Motor Vs Weekends'!BP282","v":6.4067899234169552},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",'Motor Vs'!O282, \" of 'Motor Vs' and 'Motor Vs Weekends' tabs. Draws on weighted-average columns for each trip type.\")","v":"Copied from Row 282 of 'Motor Vs' and 'Motor Vs Weekends' tabs. Draws on weighted-average columns for each trip type."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,"Sum-product of shares and tolls",null,null,{"$f":"SUMPRODUCT(F379:K379,F381:K381)+SUMPRODUCT(M379:R379,M381:R381)","v":9.3967900801931492},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,{"$f":"CONCATENATE(\"Calculated as sum of respective cross-products of shares in Row \",AL379, \" and tolls in Row \",AL381, \".\")","v":"Calculated as sum of respective cross-products of shares in Row 379 and tolls in Row 381."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,"Shares of all annual (non-taxi) tolls",null,null,{"$f":"SUM(F385:K385)","v":0.77878671552284739},{"$f":"F379*F381/$E$383","v":0.30620423069344044},{"$f":"G379*G381/$E$383","v":0.19027194564364819},{"$f":"H379*H381/$E$383","v":0.1004682939634058},null,{"$f":"J379*J381/$E$383","v":0.12523798926960147},{"$f":"K379*K381/$E$383","v":5.6604255952751384E-2},{"$f":"SUM(M385:R385)","v":0.22121328447715263},{"$f":"M379*M381/$E$383","v":3.0265434260375694E-2},{"$f":"N379*N381/$E$383","v":0.11418135336210357},{"$f":"O379*O381/$E$383","v":3.8227866033202135E-2},null,{"$f":"Q379*Q381/$E$383","v":1.761450534478259E-2},{"$f":"R379*R381/$E$383","v":2.0924125476688645E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,{"$f":"CONCATENATE(\"Calculated by dividing respective cross-products of shares in Row \",AL379,\" and tolls in Row \",AL381,\" by sum-product in Row \",AL383, \".\")","v":"Calculated by dividing respective cross-products of shares in Row 379 and tolls in Row 381 by sum-product in Row 383."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,"Potential lost $$ fr 2-Toll Exempt (10^6)",null,null,{"$f":"O355*IF('Policy Levers'!K116=\"YES\",1,0)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,{"$f":"CONCATENATE(\"Row \",AL369,\" multiplied by result of IF statement that yields value of 1 if toll-exemption 'switch' in 'Policy Levers' tab (row \",'Policy Levers'!O116, \") is set to 'YES'.\")","v":"Row 369 multiplied by result of IF statement that yields value of 1 if toll-exemption 'switch' in 'Policy Levers' tab (row 116) is set to 'YES'."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,"Pot. lost $$ allocated to trip types (10^6)",null,null,{"$f":"SUM(F389:K389)","v":0},{"$f":"F385*$E$387","v":0},0,0,0,0,0,{"$f":"SUM(M389:R389)","v":0},{"$f":"M385*$E$387","v":0},0,0,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,{"$f":"CONCATENATE(\"Shares in Row \",AL385, \" multiplied by total potential lost revenue in Row \",AL387, \".\")","v":"Shares in Row 385 multiplied by total potential lost revenue in Row 387."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":390}]
[null,"Toll discount from potential lost revenue",null,null,null,{"$f":"F389*1000/F375","v":0},0,0,0,0,0,null,{"$f":"M389*1000/M375","v":0},0,0,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,{"$f":"CONCATENATE(\"Dollar figures in Row \",AL389, \" divided by annual number of base trips crossing cordon in Row \",AL375, \".\")","v":"Dollar figures in Row 389 divided by annual number of base trips crossing cordon in Row 375."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,"E. Historical Trends in TBTA Tolls (major bridges)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,"Date or Period","Yrs between yellow dates",null,null,null,"% Change betw yellows",null,"Annual % Change",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,null,null,"E-ZPass","Cash",null,"E-ZPass","Cash","E-ZPass","Cash",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,"2005-2008",null,null,4.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,{"$f":"DATE(2008,3,16)","v":"2008-03-16"},null,4.1500000000000004,5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400}]
[null,{"$f":"DATE(2009,7,12)","v":"2009-07-12"},null,4.57,5.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,{"$f":"DATE(2010,12,30)","v":"2010-12-30"},null,4.8,6.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,{"$f":"DATE(2013,3,3)","v":"2013-03-03"},null,5.33,7.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403}]
[null,{"$f":"DATE(2015,3,22)","v":"2015-03-22"},{"$f":"(B404-B400)/365.25","v":7.0143737166324431},5.54,8,null,{"$f":"D404/D400-1","v":0.33493975903614448},{"$f":"E404/E400-1","v":0.60000000000000009},{"$f":"(1+G404)^(1/$C404)-1","v":4.2044744939191414E-2},{"$f":"(1+H404)^(1/$C404)-1","v":6.9301665908272136E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,"Consumer Price Index",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,"Date","Yrs betw",null,"CPI",null,"CPI % Change",null,"CPI Annual % Change",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407}]
[null,{"$f":"DATE(2008,3,15)","v":"2008-03-15"},null,null,213.52799999999999,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,{"$f":"DATE(2014,12,15)","v":"2014-12-15"},{"$f":"(B409-B408)/365.25","v":6.751540041067762},null,234.81200000000001,null,null,{"$f":"E409/E408-1","v":9.9677794012963172E-2},null,{"$f":"(1+H409)^(1/$C409)-1","v":1.4172911330620375E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,"Cash toll rates are from URS, \"Appendix E, History and Projection of Traffic, Toll Revenues and Expenses and Review of Physical Conditions of the Facilities of Triborough Bridge and Tunnel Authority,\" prepared for the TBTA by URS, April 20, 2011, Table 3, Historical Trends in Non-Discounted Cash Passenger Car Toll Rates,\" p. E-11.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,"E-ZPass toll rates for 7/12/2009 and 3/15/2008 are from MTA press release May 11, 2009, \"MTA Board Approves Reduced Fare and Toll Increase,\" http://www.mta.info/press-release/mta-headquarters/mta-board-approves-reduced-fare-and-toll-increase.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,"CPI data are from http://www.bls.gov/cpi/home.htm#data. \"All Urban Consumers,\" 1982-84=100.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,null,null,null,"Average Daily Crossings ",null,null,null,null,"Annual Toll-Paying Traffic",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,null,null,null,"BB","MB","WB","QB","ER br total","Triborough","Verrazano","Whitestone","Throgs","QMT","BBT","TBTA total","ERB's+TBTA ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,null,null,"1995 volumes",{"$f":"Constants!$J$6*Bridges!G221","v":43521390},{"$f":"Constants!$J$6*Bridges!H221","v":24791580},{"$f":"Constants!$J$6*Bridges!I221","v":33194040},{"$f":"Constants!$J$6*Bridges!J221","v":51910980},{"$f":"SUM(E422:H422)","v":153417990},56913000,61351000,40215000,33440000,22812000,18399000,{"$f":"SUM(J422:O422)","v":233130000},{"$f":"I422+P422","v":386547990},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,null,null,"1995 revenue ($ millions)",null,null,null,null,null,171103000,169766000,125106000,116732000,66671000,52742000,{"$f":"SUM(J423:O423)","v":702120000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,null,null,"1995 average toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"P423/Q422","v":1.8163850754986464},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,null,null,"2016 volumes",{"$f":"'Hub-Bound'!M76*Constants!$J$6","v":38273730},{"$f":"'Hub-Bound'!M75*Constants!$J$6","v":26490090},{"$f":"'Hub-Bound'!M74*Constants!$J$6","v":34766160},{"$f":"'Hub-Bound'!M77*Constants!$J$6","v":55449570},{"$f":"SUM(E425:H425)","v":154979550},{"$f":"R37*1000","v":63810000},{"$f":"R36*1000","v":71922000},{"$f":"R39*1000","v":46023000},{"$f":"R40*1000","v":43694000},26824000,17961000,{"$f":"SUM(J425:O425)","v":270234000},{"$f":"I425+P425","v":425213550},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,null,null,"2016 revenue ($ millions)",null,null,null,null,null,428159000,393086000,320543000,335792000,171151000,109270000,{"$f":"SUM(J426:O426)","v":1758001000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,null,null,"2016 average toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"P426/Q425","v":4.1343955290230054},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"R41*1000","v":17510000},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,{"$f":"CONCATENATE(\"1995 East River bridges are from 'Bridges' tab, Row \",Bridges!O221, \", multiplied by day-to-year multiplier (\",Constants!J6, \") in 'Constants' tab.\")","v":"1995 East River bridges are from 'Bridges' tab, Row 221, multiplied by day-to-year multiplier (330) in 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,"1995 TBTA bridges are from URS April 29, 2005 report for TBTA, \"History and Projection of Traffic, Toll Revenues and Expenses,\" p. 18/60, available at http://web.mta.info/mta/investor/pdf/urs_042905.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,"1995 TBTA toll rates are from 'Toll Rates' tab.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,"2016 TBTA toll revenues are from Stantec 2017 toll report for TBTA, Table 6.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"F. Calculations for Possible Differential Toll Increases Between TBTA Tunnels and TBTA Bridges (added Dec 14, 2018)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":435}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Proj rev. w/ incrs of \",100*$E$454, \"% for tunnels & \",100*$E$455, \"% for bridges\")","v":"Proj rev. w/ incrs of 8% for tunnels & 3.35% for bridges"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,null,null,null,"Proj'd 2018 revenue, $million",{"$f":"CONCATENATE(\"Proj rev. w/ increases of \",100*$E$453, \"%\")","v":"Proj rev. w/ increases of 4%"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":441}]
[null,"Verrazano Bridge",null,null,{"$f":"U147","v":424.726},{"$f":"$E$453*E442","v":16.989039999999999},{"$f":"E442*IF(B442=\"Brooklyn Battery Tunnel\",$E$454,IF(B442=\"Queens Midtown Tunnel\",$E$454,$E$455))","v":14.228321000000001},null,"How This Section Works",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Triborough Bridge",null,null,{"$f":"V148","v":445.654},{"$f":"$E$453*E443","v":17.826160000000002},{"$f":"E443*IF(B443=\"Brooklyn Battery Tunnel\",$E$454,IF(B443=\"Queens Midtown Tunnel\",$E$454,$E$455))","v":14.929409000000001},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":443}]
[null,"Bronx Whitestone Bridge",null,null,{"$f":"U150","v":329.54599999999999},13.181839999999999,11.039791000000001,null,"Idea is to estimate the \"discount\" from the next (early 2019) round of toll increases on TBTA bridges, if tolls on the two TBTA tunnels are *increased* more steeply than the average overall increase.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Throgs Neck Bridge",null,null,{"$f":"U151","v":346.26299999999998},13.850519999999999,11.5998105,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":445}]
[null,"Brooklyn Battery Tunnel",null,null,108.376,4.3350400000000002,8.6700800000000005,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446}]
[null,"Queens Midtown Tunnel",null,null,165.577,6.6230799999999999,13.24616,null,{"$f":"CONCATENATE(\"The desired overall toll increase is inputted into Cell E\",AL453,\", and the envisioned increase in tunnel tolls is inputted into Cell E\",AL454, \". Then, through trial and error on Cell E\",AL455, \", we estimate the increase rate in tolls on the bridges that will make the sum in Cell G\",AL451, \" match the figure in Cell F\",AL451, \".\")","v":"The desired overall toll increase is inputted into Cell E453, and the envisioned increase in tunnel tolls is inputted into Cell E454. Then, through trial and error on Cell E455, we estimate the increase rate in tolls on the bridges that will make the sum in Cell G451 match the figure in Cell F451."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":447}]
[null,"Henry Hudson Bridge",null,null,85.328000000000003,3.4131200000000002,2.8584880000000004,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"Marine Parkway Bridge",null,null,17.661999999999999,0.70648,0.59167700000000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,"Cross Bay Bridge",null,null,18.850000000000001,0.75400000000000011,0.63147500000000012,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null,"Grand Tot. (E-ZP + Cash)",null,null,{"$f":"SUM(E442:E450)","v":1941.9819999999997},{"$f":"SUM(F442:F450)","v":77.67928000000002},{"$f":"SUM(G442:G450)","v":77.795211499999994},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":451}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"Desired increase in total revenue, %:",null,null,0.04,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453}]
[null,"Alt increase for tunnels:",null,null,0.08,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Alt increase for bridges:",null,null,3.3500000000000002E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":456}]

{"sheet":"Canal St.","index":17,"n_rows":244,"n_cols":36,"rows_kept":244,"cut":false,"hidden":false,"merged":[[1,25,2,32],[4,34,5,35],[18,34,19,34],[21,34,22,34],[217,9,218,9],[217,10,218,10],[217,11,218,11],[46,9,46,10],[17,1,19,12],[46,6,46,7],[45,6,45,7],[45,9,45,10],[5,1,7,12],[9,1,13,12],[161,6,161,7],[161,9,161,10],[186,6,186,7],[186,9,186,10],[188,6,188,7],[188,9,188,10],[212,6,212,7],[212,9,212,10],[204,6,204,7],[204,9,204,10],[206,6,206,7],[206,9,206,10],[208,6,208,7],[208,9,208,10],[180,6,180,7],[180,9,180,10],[182,6,182,7],[182,9,182,10],[184,6,184,7],[184,9,184,10],[235,3,237,3],[131,6,131,7],[131,9,131,10],[143,6,143,7],[143,9,143,10],[155,6,155,7],[155,9,155,10],[171,1,173,10],[190,6,190,7],[190,9,190,10],[196,1,197,10],[214,6,214,7],[214,9,214,10],[137,6,137,7],[137,9,137,10],[139,6,139,7],[61,6,61,7],[61,9,61,10],[88,6,88,7],[88,9,88,10],[90,6,90,7],[90,9,90,10],[92,6,92,7],[92,9,92,10],[231,3,233,3],[95,6,95,7],[95,9,95,10],[106,6,106,7],[106,9,106,10],[108,6,108,7],[108,9,108,10],[133,6,133,7],[133,9,133,10],[135,6,135,7],[135,9,135,10],[110,6,110,7],[110,9,110,10],[112,6,112,7],[112,9,112,10],[114,6,114,7],[114,9,114,10],[118,6,118,7],[118,9,118,10],[116,6,116,7],[116,9,116,10],[141,6,141,7],[141,9,141,10],[147,1,148,10],[122,1,124,10],[139,9,139,10],[23,16,24,20],[26,16,27,20],[192,6,192,7],[192,9,192,10],[210,6,210,7],[210,9,210,10],[163,6,163,7],[163,9,163,10],[167,6,167,7],[167,9,167,10],[165,6,165,7],[165,9,165,10],[157,6,157,7],[157,9,157,10],[159,6,159,7],[159,9,159,10]]}
[null,"Canal St.",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2},null,null,null,null,null,null,null,null,null,null,"Table below was screenshot from Komanoff file, 20180304 HSC Congestion Pricing Memo _ Final Draft, prepared in March 2018 and incorporated into Sam Schwartz Engineering's report for the Hudson Square BID."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"Context",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4},null,"Summary of Results",null,null,null,null,null,null,null,null,"Link to that report: http://www.hudsonsquarebid.org/2015/wp-content/uploads/2018/06/Finalized-study-with-brand.pdf"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculations on some figures fromTable 1 at left"]
[null,"This worksheet, dating from Feb-March 2018, explores and quantifies toll incentives to drive through lower Manhattan to travel from Long Island to NJ, rather than circumventing lower Manhattan via I-278. It was developed to support an analysis conducted for the Hudson Square Business Improvement District, or B.I.D., by Sam Schwartz Engineering, which is available at http://www.hudsonsquarebid.org/2015/wp-content/uploads/2018/06/Finalized-study-with-brand.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6},null,"Changes in share of weekday trips that use Canal St rather than I-278",null,null,null,null,"Autos","Trucks","Mean"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8},null,"Baseline",null,null,null,null,{"$f":"J93","v":0.72664576201632702},{"$f":"G93","v":0.67153331496555235},{"$f":"L93","v":0.69908953849093969},null,null,null,null,null,null,null,null,null,null,null,"Canal"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9},null,{"$f":"B97","v":"Scenario #1: Restore 2-way tolling on Verrazano-Narrows Bridge"},null,null,null,null,{"$f":"J117","v":-0.1130822864558011},{"$f":"G117","v":-8.1570756647205811E-2},{"$f":"L117","v":-9.7326521551503453E-2}]
[null,"Federal legislation enacted in 1986 changing what had been 'each-direction' tolls on the Verrazano-Narrows Bridge (VNB) to one-direction (tolled westbound only) is widely believed to incent drivers from LI to NJ to drive across the East River, on local streets through lower Manhattan and across the Hudson River, to take advantage of the absence of tolls at either crossing; rather than take highways through Brooklyn and over the VNB, which charges westbound drivers a 'double toll.' The cross-Manhattan route, though slightly more direct than the Brooklyn/VNB route in terms of miles, is generally much slower in mph, and thus imposes a time penalty. Nevertheless, the time penalty tends to be less, on average, than the toll differential. The result is that more LI-NJ trips use the cross-Manhattan route.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10},null,{"$f":"B120","v":"Scenario #2: Move NY toll plan (w/ flat toll)"},null,null,null,null,{"$f":"J142","v":-0.21872130833051417},{"$f":"G142","v":-0.12628231181186644},{"$f":"L142","v":-0.17250181007119036},null,null,null,null,null,null,null,null,null,null,"2-Way",{"$f":"AVERAGE(65,97)","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11},null,{"$f":"B145","v":"Scenario #3: Restore 2-way tolling + Move NY toll plan"},null,null,null,null,{"$f":"J166","v":-0.29372461115668952},{"$f":"G166","v":-0.18097856712620314},{"$f":"L166","v":-0.23735158914144633}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12},null,{"$f":"B169","v":"Scenario #4: Fix NYC higher-range plan"},null,null,null,null,{"$f":"J191","v":-0.2947357075335319},{"$f":"G191","v":-0.17998080474280564},{"$f":"L191","v":-0.23735825613816874},null,null,null,null,null,null,null,null,null,null,"MoveNY",{"$f":"AVERAGE(117,176)","v":146.5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13},null,{"$f":"B194","v":"Scenario #5: Restore 2-way tolling + Fix NYC higher-range plan"},null,null,null,null,{"$f":"J215","v":-0.37925812429565653},{"$f":"G215","v":-0.25739497699326563},{"$f":"L215","v":-0.31832655064446108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14},null,"All figures in array are derived in detailed analysis in BTA's Canal St. worksheet. "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Purpose",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16},null,"Changes in weekday inbound thru-trips, with congestion pricing",null,null,null,null,"Number","# Change","% Change"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17},null,"Move NY (flat toll), immediate ∆'s (w/o credit for transit investment)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fix NYC",{"$f":"AVERAGE(86,129)","v":107.5}]
[null,"The purpose of this worksheet is to estimate the extent to which asymmetric tolling of the Verrazano-Narrows Bridge is resulting in excess traffic flow across lower Manhattan, relative to the traffic that would obtain if the VNB were tolled equally in both directions. And, additionally, to estimate the prospective changes in traffic across lower Manhattan if tolls were added to the East River bridges (which would add to the cost of using the cross-Manhattan route but not the cost of using the Brooklyn/VNB/SI route).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18},null,"Baseline",null,null,null,null,{"$f":"'Motor Vs'!I71","v":100500}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19},null,"Fix NYC higher-range, immed  ∆'s (w/o credit for transit investment)",null,null,null,null,95869,{"$f":"V19-$V$18","v":-4631},{"$f":"W19/$V$18","v":-4.6079601990049748E-2},null,null,null,null,null,null,null,null,null,null,"MoveNY vs 2-Way",{"$f":"AJ12/AJ$10-1","v":0.80864197530864201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20},null,"Fix NYC higher-range, ∆'s in future (w/ credit for transit investment)",null,null,null,null,80672.789084410993,{"$f":"V20-$V$18","v":-19827.210915589007},{"$f":"W20/$V$18","v":-0.19728568075212941}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21},null,"Move NY (flat toll), immediate ∆'s (w/o credit for transit investment)",null,null,null,null,80072,{"$f":"V21-$V$18","v":-20428},{"$f":"W21/$V$18","v":-0.20326368159203981}]
[null,"Method",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22},null,"Move NY (flat toll), ∆'s, in future (w/ credit for transit investment)",null,null,null,null,67469,{"$f":"V22-$V$18","v":-33031},{"$f":"W22/$V$18","v":-0.32866666666666666},null,null,null,null,null,null,null,null,null,null,"Fix NYC vs 2-Way",{"$f":"AJ17/AJ$10-1","v":0.32716049382716039}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23},null,{"$f":"CONCATENATE(\"Baseline trips figure is copied from 'Motor Vs' worksheet, Cell I\",'Motor Vs'!O71, \".\")","v":"Baseline trips figure is copied from 'Motor Vs' worksheet, Cell I71."}]
[null,"Baseline condidtions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24},null,{"$f":"CONCATENATE(\"Trip #'s for various scenarios are from 'Motor Vs' worksheet, Cell AO\",'Motor Vs'!O1068, \". These have had to be 'hard-wired' here b/c figures change as each different scenario is run.\")","v":"Trip #'s for various scenarios are from 'Motor Vs' worksheet, Cell AO1068. These have had to be 'hard-wired' here b/c figures change as each different scenario is run."}]
[null,"We conduct the analysis for two types of trips between Bklyn/Queens and NJ. For trucks, Maspeth to Elizabeth; for cars, Crown Heights to Elizabeth. The routes are shown at right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"We take readings from Google Maps of the time required to cover each route at various times of the day. The respective averages are entered into the analysis beginning in Row \",O40,\".\")","v":"We take readings from Google Maps of the time required to cover each route at various times of the day. The respective averages are entered into the analysis beginning in Row 40."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26},null,"Figures in this array are autos only. They do not include an estimated 7,000 daily truck trips."]
[null,"The average times are multiplied by traveler time cost figures, to become part of the total costs of each respective trip. Those costs include fuel and tolls, as well.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27},null,"Cautionary note: Only some inbound thru trips are LI to NJ. Some are opposite direction. And some involve GWB rather than Holland or Lincoln Tunnels."]
[null,"The respective averages subsume a wide range of costs. We specify standard deviations for each, giving rise to a distribution / spectrum of costs rather than a single point value.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"From these distributions, we calculate the likelihood that one route (say, the cross-Manhattan route) has a lesser total cost than the other (the I-278 route that circumvents lower Manhattan).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Changed conditions if VNB toll is restored as 2-way",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"This policy would halve the westbound toll and impose an eastbound toll equal to the new, reduced westbound toll.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32},null,"Scenario #1: Trucks from Maspeth, Queens to Elizabeth, NJ"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33},null,"A. Via I-278 (includes VNB toll)",null,null,null,null,26.7,"Miles"]
[null,"Changed conditions if the East River bridge crossings from Brooklyn into Lower Manhattan are tolled",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34},null,"Get on I-278 W from Maurice Ave"]
[null,"This policy would increase the cost of the westbound route through lower Manhattan.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35},null,"Follow I-278 W to Cole Pl in Elizabeth. Exit from I-278 W"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36},null,"Take Clifton St, Clarkson Ave and S Pearl St to your destination"]
[null,"Changed conditions if VNB 2-way toll is restored AND East Riv. bridge crossings from Bklyn into Lower Manh, are tolled",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,{"$f":"CONCATENATE(\"This policy would combine the impacts summarized in Rows \",O32, \" and \",O35, \". Tthe numerical impacts on westbound tolls would be less than the sum of the separate impacts, due to overlap.\")","v":"This policy would combine the impacts summarized in Rows 32 and 35. Tthe numerical impacts on westbound tolls would be less than the sum of the separate impacts, due to overlap."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38},null,"B. Via Canal St (no VNB toll)",null,null,null,null,23.2,"Miles"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39},null,"Get on I-278 W from Maurice Ave"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40},null,"Follow I-278 W to Tillary St in Brooklyn. Take exit 29 from I-278 W"]
[null,"Assumptions for this analysis",null,null,null,null,null,null,null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":41},null,"Follow Manhattan Bridge/Manhattan Bridge Lower Roadway, Canal St and I-78 W to NJ-139 W in Jersey City"]
[null,"Time penalty for trucks, vis-à-vis autos",null,null,null,null,null,null,null,0.1,0.15,null,null,null,{"$f":"ROW()","v":42},null,"Take US-1 S/U.S. 9 S to Spring St in Elizabeth"]
[null,"Komanoff assumptions. Higher penalty is assumed for the Canal St route, on the premise that big rigs are more disadvantaged on local streets and in high-traffic conditions generally.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43},null,"Continue on Spring St to your destination"]
[null,"Rebound effect: share of initially calculated decrease in Canal St share that \"returns\" due to eased congestion",null,null,null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},null,null,null,{"$f":"ROW()","v":44}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45},null,"Scenario #2: Cars from Crown Heights, Brooklyn to Elizabeth, NJ"]
[null,null,null,null,null,null,"Not used; sample too thin",null,null,{"$f":"CONCATENATE(\"Used below, w/ Row \",O42,\" factors.\")","v":"Used below, w/ Row 42 factors."},null,null,null,null,{"$f":"ROW()","v":46},null,"A. Via I-278 (includes VNB toll)",null,null,null,null,21,"Miles"]
[null,"Time readings from Googlemaps (in minutes)",null,null,null,null,"Maspeth to Elizabeth",null,null,"Crown Heights to Elizabeth",null,null,null,null,{"$f":"ROW()","v":47},null,"Get on NY-27 from Brooklyn Ave, Fenimore St and Parkside Ave"]
[null,"Date","Day of week","Holiday?","Weather","Time","Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":48},null,"Take I-278 W to Cole Pl in Elizabeth. Exit from I-278 W"]
[null,{"$f":"DATE(2018,2,19)","v":"2018-02-19"},{"$f":"WEEKDAY(B49)","v":2},"Yes","Clear","15:15:00",55,58,null,null,null,null,null,null,{"$f":"ROW()","v":49},null,"Take Clifton St, Clarkson Ave and S Pearl St to your destination"]
[null,{"$f":"DATE(2018,2,20)","v":"2018-02-20"},3,"No","Fog, drizzle","07:30:00",64,74,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"DATE(2018,2,20)","v":"2018-02-20"},3,"No","Fog, drizzle","09:02:00",60,70,null,49,57,null,null,null,{"$f":"ROW()","v":51},null,"B. Via Canal St (no VNB toll)",null,null,null,null,19.7,"Miles"]
[null,{"$f":"DATE(2018,2,20)","v":"2018-02-20"},3,"No","Fog, drizzle","10:02:00",69,77,null,null,null,null,null,null,{"$f":"ROW()","v":52},null,"Take Eastern Pkwy, Flatbush Ave, Manhattan Bridge/Manhattan Bridge Lower Roadway, Canal St and I-78 W to NJ-139 W in Jersey City"]
[null,{"$f":"DATE(2018,2,20)","v":"2018-02-20"},3,"No","Clear","23:08:00",null,null,null,40,51,null,null,null,{"$f":"ROW()","v":53},null,"Take US-1 S/U.S. 9 S to Spring St in Elizabeth"]
[null,{"$f":"DATE(2018,2,22)","v":"2018-02-22"},5,"No","Cloudy","10:02:00",null,null,null,49,62,null,null,null,{"$f":"ROW()","v":54},null,"Continue on Spring St to your destination"]
[null,{"$f":"DATE(2018,2,22)","v":"2018-02-22"},5,"No","Cloudy","13:00:00",null,null,null,48,57,null,null,null,{"$f":"ROW()","v":55}]
[null,{"$f":"DATE(2018,2,22)","v":"2018-02-22"},5,"No","Light Rain","16:24:00",null,null,null,69,78,null,null,null,{"$f":"ROW()","v":56}]
[null,{"$f":"DATE(2018,2,23)","v":"2018-02-23"},{"$f":"WEEKDAY(B57)","v":6},"No","Fog, thick clouds","08:40:00",null,null,null,47,58,null,null,null,{"$f":"ROW()","v":57}]
[null,{"$f":"DATE(2018,2,23)","v":"2018-02-23"},{"$f":"WEEKDAY(B58)","v":6},"No","Light Rain","11:00:00",null,null,null,48,63,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Average",null,null,null,null,{"$f":"AVERAGE(G48:G59)","v":62},{"$f":"AVERAGE(H48:H59)","v":69.75},null,{"$f":"AVERAGE(J48:J59)","v":50},{"$f":"AVERAGE(K48:K59)","v":60.857142857142854},null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61},null,null,-3,{"$f":"R61*$J$87+$J$83","v":3.4013226285300249},{"$f":"NORMDIST(S61,$J$83,$J$87,FALSE)","v":4.3432598589384199E-4},{"$f":"R61*$K$87+$K$83","v":2.6245308049896998},{"$f":"NORMDIST(S61,$K$83,$K$87,FALSE)","v":7.5307476096963958E-4}]
[null,"Baseline",null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":62},null,null,-2.75,5.95231459992754,8.9117905931798203E-4,4.5929289087319738,{"$f":"NORMDIST(S62,$K$83,$K$87,FALSE)","v":1.8293104037982481E-3}]
[null,null,null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":63},null,null,-2.5,8.5033065713250551,1.7177925969682653E-3,6.5613270124742442,4.0008113728825737E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},null,null,-2.25,11.054298542722574,3.1105205535279876E-3,8.5297251162165182,7.8780749428140461E-3]
[null,"Average journey duration, minutes",null,null,null,null,{"$f":"G60","v":62},{"$f":"H60","v":69.75},null,{"$f":"J60","v":50},{"$f":"K60","v":60.857142857142854},null,null,null,{"$f":"ROW()","v":65},null,null,-2,13.605290514120089,5.2911737001283127E-3,10.498123219958792,1.3967011787545136E-2]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O60, \".\")","v":"Copied from Row 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},null,null,-1.75,16.156282485517604,8.4552714977034951E-3,12.466521323701066,2.2294526420204738E-2]
[null,"Miles",null,null,null,null,{"$f":"V33","v":26.7},{"$f":"V38","v":23.2},null,20.6,{"$f":"V51","v":19.7},null,null,null,{"$f":"ROW()","v":67},null,null,-1.5,18.707274456915123,1.2692865865326282E-2,14.434919427443338,3.2040874683880019E-2]
[null,{"$f":"CONCATENATE(\"Copied from cells in Rows \",O7, \", \",O12, \", \",O20, \", and \",O25,\", where they are sourced to Google Maps.\")","v":"Copied from cells in Rows 7, 12, 20, and 25, where they are sourced to Google Maps."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,null,-1.25,21.258266428312638,1.7899809901102983E-2,16.403317531185611,4.1459287599257197E-2]
[null,"Value of time, per hour",null,null,null,null,{"$f":"'Value of Time'!L104","v":84.929826123041451},{"$f":"G69","v":84.929826123041451},null,{"$f":"'Value of Time'!L102","v":22.706932678729835},{"$f":"J69","v":22.706932678729835},null,null,null,{"$f":"ROW()","v":69},null,null,-1,23.809258399710153,2.3713395341125269E-2,18.371715634927885,4.8300393308213549E-2]
[null,{"$f":"CONCATENATE(\"From 'Value of Time' worksheet tab, Row \",'Value of Time'!$O$104,\" for large truck, Row \",'Value of Time'!$O$102,\" for auto thru-trip.\")","v":"From 'Value of Time' worksheet tab, Row 104 for large truck, Row 102 for auto thru-trip."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},null,null,-0.75,26.360250371107671,2.9511797325437242E-2,20.340113738670158,5.066299490064758E-2]
[null,"Time cost",null,null,null,null,{"$f":"G69*G65/60","v":87.760820327142838},{"$f":"H69*H65/60","v":98.730922868035677},null,{"$f":"J69*J65/60","v":18.92244389894153},{"$f":"K69*K65/60","v":23.031317431283117},null,null,null,{"$f":"ROW()","v":71},null,null,-0.5,28.911242342505187,3.450278663278452E-2,22.308511842412429,4.784564472932179E-2]
[null,{"$f":"CONCATENATE(\"Calculated as Product of Rows \",O65, \" and \",O69, \", divided by 60.\")","v":"Calculated as Product of Rows 65 and 69, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72},null,null,-0.25,31.462234313902705,3.789389785799873E-2,24.276909946154703,4.0682283618029613E-2]
[null,"Average trip speed",null,null,null,null,{"$f":"J73/(1+J42)","v":22.472727272727273},{"$f":"K73/(1+K42)","v":16.889161053276183},null,{"$f":"J67/J65*60","v":24.720000000000002},{"$f":"K67/K65*60","v":19.422535211267608},null,null,null,{"$f":"ROW()","v":73},null,null,0,34.01322628530022,3.9096779299434559E-2,26.245308049896977,3.1144373227411641E-2]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of Row \",O67, \" to Row \",O65,\", multiplied by 60.\")","v":"Calculated as ratio of Row 67 to Row 65, multiplied by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74},null,null,0.25,36.564218256697735,3.789389785799873E-2,28.213706153639251,2.146669704929266E-2]
[null,"Average mpg",null,null,null,null,{"$f":"VLOOKUP(ROUND('Canal St.'!G73,0),'Speed-CO2'!$B$44:$E$143,4)*'Speed-CO2'!$G$39","v":7.3676396231882908},{"$f":"VLOOKUP(ROUND('Canal St.'!H73,0),'Speed-CO2'!$B$44:$E$143,4)*'Speed-CO2'!$G$39","v":6.3081679342220243},null,{"$f":"VLOOKUP(ROUND('Canal St.'!J73,0),'Speed-CO2'!$B$44:$E$143,4)","v":19.871737762614419},{"$f":"VLOOKUP(ROUND('Canal St.'!K73,0),'Speed-CO2'!$B$44:$E$143,4)","v":16.855991951639467},null,null,null,{"$f":"ROW()","v":75},null,null,0.5,39.11521022809525,3.4502786632784534E-2,30.182104257381525,1.3321778838037885E-2]
[null,{"$f":"CONCATENATE(\"'Looked up' from LOOKUP table that inputs speeds in Row \",O73, \" into matrix of mpg's and vehicle speeds in 'Speed-CO2' tab. Truck figures multiply results by \",'Speed-CO2'!G40, \" factor stipulated just above that array.\")","v":"'Looked up' from LOOKUP table that inputs speeds in Row 73 into matrix of mpg's and vehicle speeds in 'Speed-CO2' tab. Truck figures multiply results by 0.25 factor stipulated just above that array."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76},null,null,0.75,41.666202199492773,2.9511797325437232E-2,32.150502361123799,7.4433865192748763E-3]
[null,"Fuel price ($/gallon)",null,null,null,null,{"$f":"'Motor Vs'!$S$278/100*(1+'Motor Vs'!$W$278)","v":3.0250000000000004},{"$f":"'Motor Vs'!$S$278/100*(1+'Motor Vs'!$W$278)","v":3.0250000000000004},null,{"$f":"'Motor Vs'!$S$278/100","v":2.75},{"$f":"'Motor Vs'!$S$278/100","v":2.75},null,null,null,{"$f":"ROW()","v":77},null,null,1,44.217194170890288,2.3713395341125269E-2,34.118900464866073,3.7444693817385711E-3]
[null,{"$f":"CONCATENATE(\"From gasoline cost assumed in 'Motor Vs'  tab, Cell S\",'Motor Vs'!O278, \", except that diesel price includes adder specified in same tab, Cell W\",'Motor Vs'!O278, \".\")","v":"From gasoline cost assumed in 'Motor Vs'  tab, Cell S278, except that diesel price includes adder specified in same tab, Cell W278."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78},null,null,1.25,46.768186142287803,1.7899809901102983E-2,36.087298568608347,1.6959824580983268E-3]
[null,"Fuel cost",null,null,null,null,{"$f":"G67/G75*G77","v":10.962466153447457},{"$f":"H67/H75*H77","v":11.12525866967985},null,{"$f":"J67/J75*J77","v":2.8507823863586887},{"$f":"K67/K75*K77","v":3.2139906186138609},null,null,null,{"$f":"ROW()","v":79},null,null,1.5,49.319178113685318,1.2692865865326282E-2,38.055696672350614,6.9161401955556659E-4]
[null,{"$f":"CONCATENATE(\"Calculated as # of gallons (Row \",O67, \" divided by Row \",O75, \"), times fuel price in Row \",O77, \".\")","v":"Calculated as # of gallons (Row 67 divided by Row 75), times fuel price in Row 77."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80},null,null,1.75,51.870170085082833,8.455271497703502E-3,40.024094776092888,2.5393208606988902E-4]
[null,"Toll",null,null,null,null,{"$f":"2*'MTA Crossings'!I59","v":34.1},0,null,{"$f":"2*MTA_1Way_EZPass_2019","v":12.24},0,null,null,null,{"$f":"ROW()","v":81},null,null,2,54.421162056480355,5.2911737001283075E-3,41.992492879835162,8.3942661080736435E-5]
[null,{"$f":"CONCATENATE(\"Truck toll via Canal St is twice figure from Row \",'MTA Crossings'!AL59, \" from 'MTA Crossings' tab. Car toll via Canal St is twice the standard MTA bridge toll rate for autos. Both assume E-Zpass peak rate.\")","v":"Truck toll via Canal St is twice figure from Row 59 from 'MTA Crossings' tab. Car toll via Canal St is twice the standard MTA bridge toll rate for autos. Both assume E-Zpass peak rate."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82},null,null,2.25,56.972154027877863,3.1105205535279902E-3,43.960890983577436,2.4983843170579185E-5]
[null,"Total trip cost, mean",null,null,null,null,{"$f":"G71+G79+G81","v":132.8232864805903},{"$f":"H71+H79+H81","v":109.85618153771553},null,{"$f":"J71+J79+J81","v":34.01322628530022},{"$f":"K71+K79+K81","v":26.245308049896977},null,null,null,{"$f":"ROW()","v":83},null,null,2.5,59.523145999275386,1.7177925969682653E-3,45.929289087319709,6.6949466009380175E-6]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O71, \", \",O79, \", and \",O81,\".\")","v":"Sum of Rows 71, 79, and 81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84},null,null,2.75,62.074137970672901,8.9117905931798203E-4,47.897687191061976,1.6152745475815484E-6]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":85},null,null,3,64.625129942070416,4.3432598589384199E-4,49.86608529480425,3.5087864905033896E-7]
[null,"Komanoff assumptions. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G85*G83","v":39.846985944177085},{"$f":"H85*H83","v":32.956854461314656},null,{"$f":"J85*J83","v":10.203967885590066},{"$f":"K85*K83","v":7.8735924149690923},null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",L84, \" and \",O85, \".\")","v":"Product of Rows  and 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G83-H83","v":22.967104942874769},null,null,{"$f":"J83-K83","v":7.7679182354032434},null,null,null,null,{"$f":"ROW()","v":89}]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",L84, \".\")","v":"Calculated as differences between respective columns in Row ."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G87^2+H87^2)^0.5","v":51.71012033267494},null,null,{"$f":"(J87^2+K87^2)^0.5","v":12.888538246333919},null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"1-NORMSDIST((-G89/G91))","v":0.67153331496555235},null,null,{"$f":"1-NORMSDIST((-J89/J91))","v":0.72664576201632702},null,{"$f":"AVERAGE(G93:K93)","v":0.69908953849093969},null,null,{"$f":"ROW()","v":93}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Scenario #1: Restore 2-way tolling on Verrazano-Narrows Bridge",null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Change in Toll",null,null,null,null,{"$f":"-0.5*G81","v":-17.05},0,null,{"$f":"-0.5*J81","v":-6.12},0,null,null,null,{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"Figures are one-half of corresponding figures in Row \",O81, \".\")","v":"Figures are one-half of corresponding figures in Row 81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Changed total trip cost, mean",null,null,null,null,{"$f":"G$83+G99","v":115.7732864805903},{"$f":"H$83+H99","v":109.85618153771553},null,{"$f":"J$83+J99","v":27.893226285300219},{"$f":"K$83+K99","v":26.245308049896977},null,null,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L$84, \" and \",O99, \".\")","v":"Sum of Rows  and 99."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":103}]
[null,"Komanoff assumptions. Values chosen are greater for Canal St, due to greater variability of traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G103*G101","v":34.73198594417709},{"$f":"H103*H101","v":32.956854461314656},null,{"$f":"J103*J101","v":8.3679678855900654},{"$f":"K103*K101","v":7.8735924149690923},null,null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O101, \" and \",O103, \".\")","v":"Product of Rows 101 and 103."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G101-H101","v":5.9171049428747722},null,null,{"$f":"J101-K101","v":1.6479182354032424},null,null,null,null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",O101, \".\")","v":"Calculated as differences between respective columns in Row 101."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G105^2+H105^2)^0.5","v":47.879694063462757},null,null,{"$f":"(J105^2+K105^2)^0.5","v":11.489836554595783},null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Calc'd share of trips for which Canal St route cost is less than I-278 route cost",null,null,null,null,{"$f":"1-NORMSDIST((-G107/G109))","v":0.54917717999474358},null,null,{"$f":"1-NORMSDIST((-J107/J109))","v":0.55702233233262544},null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Rebound effect (addition to Canal St share)",null,null,null,null,{"$f":"$K$44*(G$93-G111)","v":4.0785378323602919E-2},null,null,{"$f":"$K$44*(J$93-J111)","v":5.6541143227900527E-2},null,null,null,null,{"$f":"ROW()","v":113}]
[null,{"$f":"CONCATENATE(\"Product of input parameter in Cell K\",O$44, \" and difference between Rows \",O$93, \" and \",O111, \".\")","v":"Product of input parameter in Cell K44 and difference between Rows 93 and 111."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"G111+G113","v":0.58996255831834654},null,null,{"$f":"J111+J113","v":0.61356347556052593},null,{"$f":"AVERAGE(G115:K115)","v":0.60176301693943623},null,null,{"$f":"ROW()","v":115}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O111, \" and \",O113, \".\")","v":"Sum of Rows 111 and 113."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Change from Canal St share of trips in baseline",null,null,null,null,{"$f":"G115-G$93","v":-8.1570756647205811E-2},null,null,{"$f":"J115-J$93","v":-0.1130822864558011},null,{"$f":"L115-L$93","v":-9.7326521551503453E-2},null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Scenario #2: Move NY toll plan (w/ flat toll)",null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Change in Toll",null,null,null,null,{"$f":"('Policy Levers'!I105/'Policy Levers'!I34)*G81","v":-13.929738562091504},{"$f":"'Policy Levers'!I34*'Policy Levers'!I98","v":11.322000000000001},null,{"$f":"2*'Policy Levers'!I105","v":-5},{"$f":"'Policy Levers'!I34","v":6.12},null,null,null,{"$f":"ROW()","v":122}]
[null,{"$f":"CONCATENATE(\"Figure for large trucks via I-278 prorates full toll from Row \",O81, \" by ratio of Move NY VNB toll reduction to full toll. Figure for large trucks via Canal St multiplies Move NY each-way CBD toll x Move NY ratio of truck to car tolls. Figure for autos via I-278 \" & \"reduces westbound VNB toll by twice the standard toll-swap discount (twice since VNB is charged double westbound. Figure for autos via Canal St adds one-way Move NY toll to reflect Manhattan Bridge toll addition.\")","v":"Figure for large trucks via I-278 prorates full toll from Row 81 by ratio of Move NY VNB toll reduction to full toll. Figure for large trucks via Canal St multiplies Move NY each-way CBD toll x Move NY ratio of truck to car tolls. Figure for autos via I-278 reduces westbound VNB toll by twice the standard toll-swap discount (twice since VNB is charged double westbound. Figure for autos via Canal St adds one-way Move NY toll to reflect Manhattan Bridge toll addition."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125},null,null,-3,{"$f":"R125*$J$130+$J$126","v":2.9013226285300249},{"$f":"_xlfn.NORM.DIST(S125,$J$126,$J$130,FALSE)","v":5.0917563922486375E-4},{"$f":"R125*$K$130+$K$126","v":3.2365308049896981},{"$f":"NORMDIST(S125,$K$126,$K$130,FALSE)","v":4.112871268414728E-4}]
[null,"Changed total trip cost, mean",null,null,null,null,{"$f":"G$83+G122","v":118.8935479184988},{"$f":"H$83+H122","v":121.17818153771553},null,{"$f":"J$83+J122","v":29.01322628530022},{"$f":"K$83+K122","v":32.365308049896974},null,null,null,{"$f":"ROW()","v":126},null,null,-2.75,{"$f":"R126*$J$130+$J$126","v":5.07731459992754},{"$f":"_xlfn.NORM.DIST(S126,$J$126,$J$130,FALSE)","v":1.0447605759949991E-3},{"$f":"R126*$K$130+$K$126","v":5.6639289087319682},{"$f":"NORMDIST(S126,$K$126,$K$130,FALSE)","v":7.9174454537779375E-4}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L$84, \" and \",O122, \".\")","v":"Sum of Rows  and 122."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127},null,null,-2.5,7.2533065713250551,2.0138287185764644E-3,8.0913270124742418,1.4494824898012748E-3]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":128},null,null,-2.25,9.4292985427225737,3.6465727186579229E-3,10.518725116216515,2.5236480995196068E-3]
[null,"Komanoff assumptions. Values chosen are greater for Canal St, due to greater variability of traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129},null,null,-2,11.605290514120089,6.203029149794234E-3,12.946123219958789,4.1786168276886247E-3]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G128*G126","v":35.66806437554964},{"$f":"H128*H126","v":36.353454461314655},null,{"$f":"J128*J126","v":8.7039678855900657},{"$f":"K128*K126","v":9.7095924149690926},null,null,null,{"$f":"ROW()","v":130},null,null,-1.75,13.781282485517606,9.9124123572823294E-3,15.373521323701063,6.5799748123804994E-3]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O126, \" and \",O128, \".\")","v":"Product of Rows 126 and 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131},null,null,-1.5,15.957274456915123,1.4880293375199118E-2,17.800919427443336,9.8538022660787997E-3]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G126-H126","v":-2.2846336192167342},null,null,{"$f":"J126-K126","v":-3.352081764596754},null,null,null,null,{"$f":"ROW()","v":132},null,null,-1.25,18.133266428312638,2.0984577125038373E-2,20.22831753118561,1.403367403445622E-2]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",O126, \".\")","v":"Calculated as differences between respective columns in Row 126."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133},null,null,-1,20.309258399710153,2.7800047943621228E-2,22.65571563492788,1.9007581271895269E-2]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G130^2+H130^2)^0.5","v":50.9292103568201},null,null,{"$f":"(J130^2+K130^2)^0.5","v":13.039756202406874},null,null,null,null,{"$f":"ROW()","v":134},null,null,-0.75,22.485250371107671,3.4597718662698111E-2,25.083113738670157,2.4483317079756688E-2]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135},null,null,-0.5,24.661242342505187,4.0448831083943274E-2,27.510511842412427,2.9991734838079268E-2]
[null,"Calc'd share of trips for which Canal St route cost is less than I-278 route cost",null,null,null,null,{"$f":"1-NORMSDIST((-G132/G134))","v":0.48210984724775274},null,null,{"$f":"1-NORMSDIST((-J132/J134))","v":0.39856379952055576},null,null,null,null,{"$f":"ROW()","v":136},null,null,-0.25,26.837234313902705,4.4424350122316193E-2,29.937909946154701,3.4939834868305188E-2]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},null,null,0,29.01322628530022,4.5834530371131686E-2,32.365308049896974,3.8710433794955174E-2]
[null,"Rebound effect (addition to Canal St share)",null,null,null,null,{"$f":"$K$44*($G$93-G136)","v":6.3141155905933194E-2},null,null,{"$f":"$K$44*(J$93-J136)","v":0.10936065416525709},null,null,null,null,{"$f":"ROW()","v":138},null,null,0.25,31.189218256697735,4.4424350122316193E-2,34.792706153639244,4.0787131003801075E-2]
[null,{"$f":"CONCATENATE(\"Product of input parameter in Cell K\",O$44, \" and difference between Rows \",O$93, \" and \",O136, \".\")","v":"Product of input parameter in Cell K44 and difference between Rows 93 and 136."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139},null,null,0.5,33.36521022809525,4.0448831083943287E-2,37.220104257381522,4.0870147696518935E-2]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"G136+G138","v":0.54525100315368591},null,null,{"$f":"J136+J138","v":0.50792445368581285},null,{"$f":"AVERAGE(G140:K140)","v":0.52658772841974932},null,null,{"$f":"ROW()","v":140},null,null,0.75,35.541202199492773,3.4597718662698104E-2,39.647502361123792,3.8947284788323731E-2]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O136, \" and \",O138, \".\")","v":"Sum of Rows 136 and 138."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141},null,null,1,37.717194170890288,2.7800047943621228E-2,42.074900464866069,3.52968618319855E-2]
[null,"Change from Canal St share of trips in baseline",null,null,null,null,{"$f":"G140-G$93","v":-0.12628231181186644},null,null,{"$f":"J140-J$93","v":-0.21872130833051417},null,{"$f":"L140-L$93","v":-0.17250181007119036},null,null,{"$f":"ROW()","v":142},null,null,1.25,39.893186142287803,2.0984577125038373E-2,44.502298568608339,3.042166175535119E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143},null,null,1.5,42.069178113685318,1.4880293375199118E-2,46.929696672350616,2.4935478202762654E-2]
[null,null,null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":144},null,null,1.75,44.245170085082833,9.9124123572823346E-3,49.357094776092886,1.9437499674435907E-2]
[null,"Scenario #3: Restore 2-way tolling + Move NY toll plan",null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":145},null,null,2,46.421162056480355,6.203029149794227E-3,51.784492879835156,1.440957017919625E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146},null,null,2.25,48.597154027877863,3.646572718657926E-3,54.211890983577433,1.0158967795492694E-2]
[null,"Change in Toll",null,null,null,null,{"$f":"G99+0.5*G122","v":-24.014869281045755},{"$f":"H122","v":11.322000000000001},null,{"$f":"J99+0.5*J122","v":-8.620000000000001},{"$f":"K122","v":6.12},null,null,null,{"$f":"ROW()","v":147},null,null,2.5,50.773145999275386,2.0138287185764644E-3,56.63928908731971,6.8113950648684323E-3]
[null,{"$f":"CONCATENATE(\"Canal St figures are same as for Scenario #2 (Row \",O122, \") because restoration of 2-way VNB tolling doesn't affect toll to travel westbound via Canal St. Figures for both trucks and cars via I-278 add half of Row \",O122, \" change to full change in Row \",O99, \", to reflect restoration of 2-way tolling.\")","v":"Canal St figures are same as for Scenario #2 (Row 122) because restoration of 2-way VNB tolling doesn't affect toll to travel westbound via Canal St. Figures for both trucks and cars via I-278 add half of Row 122 change to full change in Row 99, to reflect restoration of 2-way tolling."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148},null,null,2.75,52.949137970672901,1.0447605759949991E-3,59.06668719106198,4.3432065816808247E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149},null,null,3,55.125129942070416,5.0917563922486375E-4,61.49408529480425,2.6337395950653836E-3]
[null,"Changed total trip cost, mean",null,null,null,null,{"$f":"G$83+G147","v":108.80841719954455},{"$f":"H$83+H147","v":121.17818153771553},null,{"$f":"J$83+J147","v":25.393226285300219},{"$f":"K$83+K147","v":32.365308049896974},null,null,null,{"$f":"ROW()","v":150}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L$84, \" and \",O147, \".\")","v":"Sum of Rows  and 147."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":152}]
[null,"Komanoff assumptions. Values chosen are greater for Canal St, due to greater variability of traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G152*G150","v":32.642525159863361},{"$f":"H152*H150","v":36.353454461314655},null,{"$f":"J152*J150","v":7.6179678855900654},{"$f":"K152*K150","v":9.7095924149690926},null,null,null,{"$f":"ROW()","v":154}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O150, \" and \",O152, \".\")","v":"Product of Rows 150 and 152."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G150-H150","v":-12.369764338170981},null,null,{"$f":"J150-K150","v":-6.972081764596755},null,null,null,null,{"$f":"ROW()","v":156}]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",O150, \".\")","v":"Calculated as differences between respective columns in Row 150."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G154^2+H154^2)^0.5","v":48.85804028082984},null,null,{"$f":"(J154^2+K154^2)^0.5","v":12.341378349710656},null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Calc'd share of trips for which Canal St route cost is less than I-278 route cost",null,null,null,null,{"$f":"1-NORMSDIST((-G156/G158))","v":0.40006546427624767},null,null,{"$f":"1-NORMSDIST((-J156/J158))","v":0.28605884528129277},null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Rebound effect (addition to Canal St share)",null,null,null,null,{"$f":"$K$44*($G$93-G160)","v":9.0489283563101555E-2},null,null,{"$f":"$K$44*(J$93-J160)","v":0.14686230557834473},null,null,null,null,{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"Product of input parameter in Cell K\",O$44, \" and difference between Rows \",O$93, \" and \",O160, \".\")","v":"Product of input parameter in Cell K44 and difference between Rows 93 and 160."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"G160+G162","v":0.49055474783934921},null,null,{"$f":"J160+J162","v":0.4329211508596375},null,{"$f":"AVERAGE(G164:K164)","v":0.46173794934949336},null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O160, \" and \",O162, \".\")","v":"Sum of Rows 160 and 162."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Change from Canal St share of trips in baseline",null,null,null,null,{"$f":"G164-G$93","v":-0.18097856712620314},null,null,{"$f":"J164-J$93","v":-0.29372461115668952},null,{"$f":"L164-L$93","v":-0.23735158914144633},null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Scenario #4: Fix NYC higher-range plan",null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Change in Toll",null,null,null,null,0,{"$f":"K171*'Policy Levers'!G98","v":37.822449551145937},null,0,{"$f":"2*'Policy Levers'!G33*'Traffic-Pricing Plans'!I78","v":17.192022523248152},null,null,null,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"Fix NYC has no direct impact on tolls on westbound I-278 route. Figure for autos via Canal St (cell K\",O171, \") prorates max Fix NYC toll from 'Policy Levers' tab, Cell G\",'Policy Levers'!O33, \", by share of 24-h weekday trips covered by the 6am-8pm toll period; product is doubled because toll inputs in 'Policy Levers' tab are half-price. Figure for trucks\" &\" via Canal St multiplies auto figure by Fix NYC multiple for trucks, shown in 'Policy Levers' tab, Cell G\",'Policy Levers'!O98, \".\")","v":"Fix NYC has no direct impact on tolls on westbound I-278 route. Figure for autos via Canal St (cell K171) prorates max Fix NYC toll from 'Policy Levers' tab, Cell G33, by share of 24-h weekday trips covered by the 6am-8pm toll period; product is doubled because toll inputs in 'Policy Levers' tab are half-price. Figure for trucks via Canal St multiplies auto figure by Fix NYC multiple for trucks, shown in 'Policy Levers' tab, Cell G98."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"Changed total trip cost, mean",null,null,null,null,{"$f":"G$83+G171","v":132.8232864805903},{"$f":"H$83+H171","v":147.67863108886147},null,{"$f":"J$83+J171","v":34.01322628530022},{"$f":"K$83+K171","v":43.437330573145132},null,null,null,{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L$84, \" and \",O171, \".\")","v":"Sum of Rows  and 171."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":177}]
[null,"Komanoff assumptions. Values chosen are greater for Canal St, due to greater variability of traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G177*G175","v":39.846985944177085},{"$f":"H177*H175","v":44.30358932665844},null,{"$f":"J177*J175","v":10.203967885590066},{"$f":"K177*K175","v":13.031199171943539},null,null,null,{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O175, \" and \",O177, \".\")","v":"Product of Rows 175 and 177."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G175-H175","v":-14.855344608271167},null,null,{"$f":"J175-K175","v":-9.4241042878449122},null,null,null,null,{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",O175, \".\")","v":"Calculated as differences between respective columns in Row 175."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G179^2+H179^2)^0.5","v":59.586830055479957},null,null,{"$f":"(J179^2+K179^2)^0.5","v":16.550924822166749},null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Calc'd share of trips for which Canal St route cost is less than I-278 route cost",null,null,null,null,{"$f":"1-NORMSDIST((-G181/G183))","v":0.40156210785134394},null,null,{"$f":"1-NORMSDIST((-J181/J183))","v":0.2845422007160292},null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Rebound effect (addition to Canal St share)",null,null,null,null,{"$f":"$K$44*($G$93-G185)","v":8.9990402371402795E-2},null,null,{"$f":"$K$44*(J$93-J185)","v":0.14736785376676592},null,null,null,null,{"$f":"ROW()","v":187}]
[null,{"$f":"CONCATENATE(\"Product of input parameter in Cell K\",O$44, \" and difference between Rows \",O$93, \" and \",O185, \".\")","v":"Product of input parameter in Cell K44 and difference between Rows 93 and 185."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"G185+G187","v":0.49155251022274671},null,null,{"$f":"J185+J187","v":0.43191005448279512},null,{"$f":"AVERAGE(G189:K189)","v":0.46173128235277094},null,null,{"$f":"ROW()","v":189}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O185, \" and \",O187, \".\")","v":"Sum of Rows 185 and 187."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Change from Canal St share of trips in baseline",null,null,null,null,{"$f":"G189-G$93","v":-0.17998080474280564},null,null,{"$f":"J189-J$93","v":-0.2947357075335319},null,{"$f":"L189-L$93","v":-0.23735825613816874},null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,"Large trucks",null,null,"Autos",null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Scenario #5: Restore 2-way tolling + Fix NYC higher-range plan",null,null,null,null,"Via I-278","Via Canal St",null,"Via I-278","Via Canal St",null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Change in Toll",null,null,null,null,{"$f":"-0.5*G81","v":-17.05},{"$f":"H171","v":37.822449551145937},null,{"$f":"-0.5*J81","v":-6.12},{"$f":"K171","v":17.192022523248152},null,null,null,{"$f":"ROW()","v":196}]
[null,{"$f":"CONCATENATE(\"Canal St figures are same as for Scenario #4 (Row \",O171, \") because restoration of 2-way VNB tolling doesn't affect toll to travel westbound via Canal St. Figures for both trucks and cars via I-278 are one-half of corresponding figures in Row \",O81, \".\")","v":"Canal St figures are same as for Scenario #4 (Row 171) because restoration of 2-way VNB tolling doesn't affect toll to travel westbound via Canal St. Figures for both trucks and cars via I-278 are one-half of corresponding figures in Row 81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Changed total trip cost, mean",null,null,null,null,{"$f":"G$83+G196","v":115.7732864805903},{"$f":"H$83+H196","v":147.67863108886147},null,{"$f":"J$83+J196","v":27.893226285300219},{"$f":"K$83+K196","v":43.437330573145132},null,null,null,{"$f":"ROW()","v":199}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L$84, \" and \",O196, \".\")","v":"Sum of Rows  and 196."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Standard deviation of cost, % of mean (Komanoff assumption)",null,null,null,null,0.3,0.3,null,0.3,0.3,null,null,null,{"$f":"ROW()","v":201}]
[null,"Komanoff assumptions. Values chosen are greater for Canal St, due to greater variability of traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Total trip cost, standard deviation",null,null,null,null,{"$f":"G201*G199","v":34.73198594417709},{"$f":"H201*H199","v":44.30358932665844},null,{"$f":"J201*J199","v":8.3679678855900654},{"$f":"K201*K199","v":13.031199171943539},null,null,null,{"$f":"ROW()","v":203}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O199, \" and \",O201, \".\")","v":"Product of Rows 199 and 201."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Mean of difference between respective costs",null,null,null,null,{"$f":"G199-H199","v":-31.905344608271164},null,null,{"$f":"J199-K199","v":-15.544104287844913},null,null,null,null,{"$f":"ROW()","v":205}]
[null,{"$f":"CONCATENATE(\"Calculated as differences between respective columns in Row \",O199, \".\")","v":"Calculated as differences between respective columns in Row 199."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Standard deviation of the difference in respective costs",null,null,null,null,{"$f":"(G203^2+H203^2)^0.5","v":56.29492761210124},null,null,{"$f":"(J203^2+K203^2)^0.5","v":15.486608356677994},null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"Calc'd share of trips for which Canal St route cost is less than I-278 route cost",null,null,null,null,{"$f":"1-NORMSDIST((-G205/G207))","v":0.28544084947565396},null,null,{"$f":"1-NORMSDIST((-J205/J207))","v":0.15775857557284223},null,null,null,null,{"$f":"ROW()","v":209}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Rebound effect (addition to Canal St share)",null,null,null,null,{"$f":"$K$44*($G$93-G209)","v":0.12869748849663279},null,null,{"$f":"$K$44*(J$93-J209)","v":0.18962906214782826},null,null,null,null,{"$f":"ROW()","v":211}]
[null,{"$f":"CONCATENATE(\"Product of input parameter in Cell K\",O$44, \" and difference between Rows \",O$93, \" and \",O209, \".\")","v":"Product of input parameter in Cell K44 and difference between Rows 93 and 209."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Share of trips for which Canal St route has lesser total cost than I-278 route",null,null,null,null,{"$f":"G209+G211","v":0.41413833797228672},null,null,{"$f":"J209+J211","v":0.34738763772067049},null,{"$f":"AVERAGE(G213:K213)","v":0.38076298784647861},null,null,{"$f":"ROW()","v":213}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O209, \" and \",O211, \".\")","v":"Sum of Rows 209 and 211."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Change from Canal St share of trips in baseline",null,null,null,null,{"$f":"G213-G$93","v":-0.25739497699326563},null,null,{"$f":"J213-J$93","v":-0.37925812429565653},null,{"$f":"L213-L$93","v":-0.31832655064446108},null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,"Impact on trips using I-278","Impact on trips using Canal St","Net \"tilt\" toward I-278",null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,"Toll Change Summary, for Different Scenarios (for autos)",null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,"Scenario #1: Restore 2-way tolling on Verrazano Bridge",null,{"$f":"J99","v":-6.12},{"$f":"K99","v":0},{"$f":"K221-J221","v":6.12},null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,"Scenario #2: Move NY toll plan (w/ flat toll)",null,{"$f":"J122","v":-5},{"$f":"K122","v":6.12},{"$f":"K222-J222","v":11.120000000000001},null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,"Scenario #4: Fix NYC higher-range plan",null,{"$f":"J171","v":0},{"$f":"K171","v":17.192022523248152},{"$f":"K223-J223","v":17.192022523248152},null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,null,{"$f":"CONCATENATE(\"Figures in matrix are from Rows \",O99, \", \",O122, \" and \",O171, \".\")","v":"Figures in matrix are from Rows 99, 122 and 171."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Weekday average trips through PANYNJ tunnels (excludes buses)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,"westbound","eastbound",null,"total","westbound %",null,null,null,{"$f":"ROW()","v":231}]
[null,"Holland Tunnel",null,"These figures are 24-hour",null,null,{"$f":"'Hub-Bound'!H67","v":44087},{"$f":"'Hub-Bound'!C67","v":41717},null,{"$f":"G232+H232","v":85804},{"$f":"G232/J232","v":0.51381054496293876},null,null,null,{"$f":"ROW()","v":232}]
[null,"Lincoln Tunnel",null,null,null,null,{"$f":"'Hub-Bound'!H68","v":51477},{"$f":"'Hub-Bound'!C68","v":47528},null,{"$f":"G233+H233","v":99005},{"$f":"G233/J233","v":0.51994343720014136},null,null,null,{"$f":"ROW()","v":233}]
[null,"Total",null,null,null,null,{"$f":"G232+G233","v":95564},{"$f":"H232+H233","v":89245},null,{"$f":"G234+H234","v":184809},{"$f":"G234/J234","v":0.51709602887305273},null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"Holland Tunnel",null,"These figures are 7-10 am",null,null,{"$f":"2445+2298+1998","v":6741},{"$f":"2661+2568+2499","v":7728},null,{"$f":"G236+H236","v":14469},{"$f":"G236/J236","v":0.46589259796806964},null,null,null,{"$f":"ROW()","v":236}]
[null,"Lincoln Tunnel",null,null,null,null,{"$f":"1355+1169+1148","v":3672},{"$f":"3133+2626+2722","v":8481},null,{"$f":"G237+H237","v":12153},{"$f":"G237/J237","v":0.30214761787213035},null,null,null,{"$f":"ROW()","v":237}]
[null,"Total",null,null,null,null,{"$f":"G236+G237","v":10413},{"$f":"H236+H237","v":16209},null,{"$f":"G238+H238","v":26622},{"$f":"G238/J238","v":0.39114266396213659},null,null,null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"From NYMTC 2016 Hub-Bound report, Section E. 24h figures are also available in Hub-Bound worksheet, Rows \",'Hub-Bound'!R67, \" and \",'Hub-Bound'!R68, \".\")","v":"From NYMTC 2016 Hub-Bound report, Section E. 24h figures are also available in Hub-Bound worksheet, Rows 67 and 68."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]

{"sheet":"Travel","index":18,"n_rows":337,"n_cols":27,"rows_kept":337,"cut":false,"hidden":false,"merged":[[192,10,193,10],[151,11,153,12],[157,11,166,12],[191,5,191,6],[191,9,191,10],[181,11,182,12],[170,11,171,12],[186,7,189,14],[192,5,193,5],[192,6,193,6],[154,1,156,9],[245,3,246,3],[245,4,246,4],[256,6,266,6],[325,4,325,8],[192,9,193,9],[247,8,249,8],[257,8,259,8],[85,8,87,8],[85,9,87,9],[85,6,87,6],[331,4,331,8],[194,11,200,14],[324,1,324,8],[300,1,302,8],[296,1,298,8],[282,1,284,8],[247,5,254,6],[268,5,270,6],[196,7,207,8],[194,7,195,8],[242,1,242,6],[243,1,243,6],[255,5,259,5],[3,1,4,9],[12,2,13,9],[6,1,7,9],[85,7,87,7],[144,1,145,9],[138,8,140,8],[138,9,140,9],[106,3,109,5],[115,7,116,12],[107,11,109,12],[138,6,140,6],[138,7,140,7],[114,1,116,2],[114,3,116,5],[135,6,137,9],[133,12,134,12],[145,11,147,12],[136,12,143,12],[9,1,10,9],[12,1,13,1],[123,7,124,12],[49,1,49,14],[50,1,50,14],[84,13,87,13],[84,14,87,14],[101,11,104,12],[94,3,97,5],[100,3,103,5],[15,1,16,9],[122,1,124,2],[122,3,124,5],[95,11,97,12]]}
[null,"Travel",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet estimates changes in the number of people expected to enter the Manhattan CBD on a typical weekday as a result of the congestion charge and (as applicable) related changes in taxi fares, transit fares, transit service quality, etc.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"It calculates changes in persons rather than in vehicles per se to address concerns that congestion charges that make driving into the CBD cost more will reduce commercial and other types of activity there.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Walking is excluded because no pedestrian counts for passage into the CBD were readily available. Bicycles are included, though we haven't yet \"plugged in\" bicycle transportation to vary cycle volumes in response to changes in transit service, traffic volumes, etc.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Click here",{"$f":"CONCATENATE(\"to be taken to Row \",P243, \", where we have a table summarizing and comparing people who pay a CBD toll with people who don't pay a CBD toll in the course of traveling to the CBD. (The table extends to Row \",P273, \".)\")","v":"to be taken to Row 243, where we have a table summarizing and comparing people who pay a CBD toll with people who don't pay a CBD toll in the course of traveling to the CBD. (The table extends to Row 273.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"We begin with two pairs of pie-charts. The first pair is a full breakout and a coarse one of mode splits for trips into the CBD as of 2015. The second is a full breakout of current mode shares, alongside a full breakout of projected mode splits under the pricing plan selected in the 'Results' worksheet tab.'\")",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"How People Reach the CBD on Typical Weekday",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"How People Reach the CBD on Typical Weekday",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"(future vs. current travel)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Data for above pie charts may be found in Rows \",P195, \"-\",P208, \". Those data are derived as follows:\")","v":"Data for above pie charts may be found in Rows 195-208. Those data are derived as follows:"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Mode share of CBD-bound travelers, before","Mode share of CBD-bound travelers, after",{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,"Number in Baseline","Est'd No. from Plan Being Modeled","Increase in Plan vs. Baseline","Increase %, Plan vs. Baseline",null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,"Number in Baseline",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"People Entering CBD in a Motor Vehicle",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"1: Number of People Entering CBD in Autos",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Auto Trips: Number of Vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Work",null,{"$f":"CONCATENATE(\"Trips are from 'Motor Vs' worksheet, with Baseline number taken from Row \",'Motor Vs'!O82, \" and Modeled Plan number taken from Row \",'Motor Vs'!O933,\".\")","v":"Trips are from 'Motor Vs' worksheet, with Baseline number taken from Row 82 and Modeled Plan number taken from Row 933."},null,null,{"$f":"'Motor Vs'!I85","v":225700},{"$f":"'Motor Vs'!W933","v":171325.6392049194},{"$f":"H95-G95","v":-54374.360795080604},{"$f":"I95/G95","v":-0.24091431455507578},null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Non-work",null,null,null,null,{"$f":"'Motor Vs'!J85","v":158700},{"$f":"'Motor Vs'!AF933","v":141844.74156519983},{"$f":"H96-G96","v":-16855.258434800169},{"$f":"I96/G96","v":-0.10620830771770744},null,"These cells show change in number of autos driven into CBD, in absolute and percentage terms.",null,null,null,{"$f":"ROW()","v":96}]
[null,"Through",null,null,null,null,{"$f":"'Motor Vs'!K85","v":100500},{"$f":"'Motor Vs'!AO933","v":79073.027439417754},{"$f":"H97-G97","v":-21426.972560582246},{"$f":"I97/G97","v":-0.21320370707047012},null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"Total",null,null,null,null,{"$f":"SUM(G95:G97)","v":484900},{"$f":"SUM(H95:H97)","v":392243.40820953704},{"$f":"H98-G98","v":-92656.59179046296},{"$f":"I98/G98","v":-0.19108391790155282},null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Total Auto Trips (# of Vehicles), but w/o Through-Trips",null,null,null,null,{"$f":"G95+G96","v":384400},{"$f":"H95+H96","v":313170.38077011926},{"$f":"H99-G99","v":-71229.619229880744},{"$f":"I99/G99","v":-0.18530077843361276},null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Auto Trips: Vehicle Occupancy",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Work",null,{"$f":"CONCATENATE(\"'Before' rates are from 'H.I.S.' worksheet, Row \",H.I.S.!Z125, \"; through figure is wghtd avg of Work + Non-Work. Total is after-the-fact calculation. 'After' rates are from Row \",P292, \", below.\")","v":"'Before' rates are from 'H.I.S.' worksheet, Row 125; through figure is wghtd avg of Work + Non-Work. Total is after-the-fact calculation. 'After' rates are from Row 292, below."},null,null,{"$f":"H.I.S.!G125","v":1.1499999999999999},{"$f":"G292","v":1.1732597011827808},{"$f":"H101-G101","v":2.3259701182780868E-2},{"$f":"I101/G101","v":2.0225827115461625E-2},null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Non-work",null,null,null,null,{"$f":"H.I.S.!H125","v":1.5},{"$f":"H292","v":1.6357061877593138},{"$f":"H102-G102","v":0.13570618775931376},{"$f":"I102/G102","v":9.04707918395425E-2},null,"These cells show change in occupancy (number of passengers plus driver) of autos driven into CBD, in absolute and percentage terms.",null,null,null,{"$f":"ROW()","v":102}]
[null,"Through",null,null,null,null,{"$f":"G101*'Motor Vs'!I53+G102*(1-'Motor Vs'!I53)","v":1.2945212934424437},{"$f":"I292","v":1.3538488359741803},{"$f":"H103-G103","v":5.9327542531736555E-2},{"$f":"I103/G103","v":4.5829715457186754E-2},null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Total",null,null,null,null,{"$f":"G110/G98","v":1.2945027634377513},{"$f":"H110/H98","v":1.3768968568749791},{"$f":"H104-G104","v":8.2394093437227811E-2},{"$f":"I104/G104","v":6.3649221743194748E-2},null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Total Auto Occupancy but w/o Through-Trips",null,null,null,null,{"$f":"G111/G99","v":1.2944979188345473},{"$f":"H111/H99","v":1.382716298626244},{"$f":"H105-G105","v":8.8218379791696666E-2},{"$f":"I105/G105","v":6.8148722765905084E-2},null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Auto Trips: People (number of autos times occupancy of each)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Work",null,"Each figure is product of respective number and occupancy rate above; Total is sum of Work, Non-work & Through figures, but latter are excluded from final total since they only pass through CBD.",null,null,{"$f":"G95*G101","v":259554.99999999997},201009.46825851264,{"$f":"H107-G107","v":-58545.531741487328},{"$f":"I107/G107","v":-0.22556117871544504},null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Non-work",null,null,null,null,238050,232016.32147931808,{"$f":"H108-G108","v":-6033.6785206819186},{"$f":"I108/G108","v":-2.5346265577323751E-2},null,"These cells show change in number of people driving into CBD, in absolute and percentage terms.",null,null,null,{"$f":"ROW()","v":108}]
[null,"Through",null,null,null,null,130099.38999096559,107052.92615581014,{"$f":"H109-G109","v":-23046.463835155446},{"$f":"I109/G109","v":-0.17714505684274037},null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Total",null,null,null,null,{"$f":"SUM(G107:G109)","v":627704.3899909656},{"$f":"SUM(H107:H109)","v":540078.71589364088},{"$f":"H110-G110","v":-87625.674097324722},{"$f":"I110/G110","v":-0.13959703882043248},null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Total Auto Trips, (# of People), but w/o Through-Trips",null,null,null,null,{"$f":"G107+G108","v":497605},{"$f":"H107+H108","v":433025.78973783075},{"$f":"H111-G111","v":-64579.210262169247},{"$f":"I111/G111","v":-0.12978006704548636},null,null,null,{"$f":"G111/G$182","v":0.14331941244239632},{"$f":"H111/H$182","v":0.11948835257666411},{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"2: Number of People Entering CBD in Medallion Taxicabs",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Medallion taxi fare trips that cross into cordon",null,{"$f":"CONCATENATE(\"All figures are from 'Taxis' tab. Baseline is product of share of fares that cross into cordon, from Row \",Taxis!O236, \", and total fares per day from Row \",Taxis!O69, \".\")","v":"All figures are from 'Taxis' tab. Baseline is product of share of fares that cross into cordon, from Row 236, and total fares per day from Row 69."},null,null,{"$f":"Taxis!L236*Taxis!L69","v":21417.38394236593},{"$f":"Taxis!L236*Taxis!L381","v":22652.054963979273},{"$f":"H115-G115","v":1234.6710216133433},{"$f":"I115/G115","v":5.7648078072272353E-2},null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Increment over baseline shown in Cell H\",P115, \" applies % of taxi trips that enter cordon to trips lured from subways but not to trips lured from autos, on premise that 100% of latter currently (baseline) cross cordon.\")","v":"Increment over baseline shown in Cell H115 applies % of taxi trips that enter cordon to trips lured from subways but not to trips lured from autos, on premise that 100% of latter currently (baseline) cross cordon."},null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Medallion taxi occupancy",null,{"$f":"CONCATENATE(\"From 'Taxis' tab, Row \",Taxis!O74, \". Zero change is assumed.\")","v":"From 'Taxis' tab, Row 74. Zero change is assumed."},null,null,{"$f":"Taxis!L74","v":1.4},{"$f":"Taxis!L328","v":1.4},null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Total Number of Persons Entering CBD in Medallion Taxis",null,null,null,null,{"$f":"G115*G118","v":29984.337519312299},{"$f":"H115*H118","v":31712.876949570982},{"$f":"H119-G119","v":1728.5394302586828},{"$f":"I119/G119","v":5.764807807227243E-2},null,null,null,{"$f":"G119/G$182","v":8.6360419122443258E-3},{"$f":"H119/H$182","v":8.7507938602568933E-3},{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"3: Number of People Entering CBD in UberLyfts (app-based FHV's)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"UberLyft fare trips that cross into cordon",null,{"$f":"CONCATENATE(\"Baseline is calculated 'UberLyft' tab in Row \",UberLyft!O469, \" as product of share of fares that cross into cordon, from Row \",UberLyft!O467, \", and total fares per day, from Row \",UberLyft!O216, \".\")","v":"Baseline is calculated 'UberLyft' tab in Row 469 as product of share of fares that cross into cordon, from Row 467, and total fares per day, from Row 216."},null,null,{"$f":"UberLyft!L469","v":40362.365120166069},{"$f":"G123*(1+J115)","v":42689.177895794965},{"$f":"H123-G123","v":2326.8127756288959},{"$f":"I123/G123","v":5.7648078072272353E-2},null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Increment over baseline shown in Cell I\",P123, \" applies % increment for (yellow) taxi trips derived in Row \",P115, \", above.\")","v":"Increment over baseline shown in Cell I123 applies % increment for (yellow) taxi trips derived in Row 115, above."},null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Medallion taxi occupancy",null,{"$f":"CONCATENATE(\"From 'UberLyft' tab, Row \",UberLyft!O508,\". Zero change is assumed.\")","v":"From 'UberLyft' tab, Row 508. Zero change is assumed."},null,null,{"$f":"UberLyft!L219","v":1.4},{"$f":"G126*(1+UberLyft!L508)","v":1.4},null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Total Number of Persons Entering CBD in Medallion Taxis",null,null,null,null,{"$f":"G123*G126","v":56507.311168232496},{"$f":"H123*H126","v":59764.849054112943},{"$f":"H127-G127","v":3257.537885880447},{"$f":"I127/G127","v":5.7648078072272221E-2},null,null,null,{"$f":"G127/G$182","v":1.6275147225873414E-2},{"$f":"H127/H$182","v":1.649140426437995E-2},{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"4: Number of People Entering CBD in Trucks and Other Commercial Vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Number of Vehicles",null,{"$f":"CONCATENATE(\"From 'Motor Vs' tab, Cell \",'Motor Vs'!O76, \". Excludes through-trips.\")","v":"From 'Motor Vs' tab, Cell 76. Excludes through-trips."},null,null,{"$f":"'Motor Vs'!M76","v":33726},{"$f":"G130+I130","v":33182.664150345146},{"$f":"J130*G130","v":-543.33584965486443},{"$f":"'Motor Vs'!BG939/'Motor Vs'!BG139-1","v":-1.6110296200405161E-2},null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Occupancy",null,{"$f":"CONCATENATE(\"From 'Trucks' tab, Row \",Trucks!U210, \". Zero change is assumed.\")","v":"From 'Trucks' tab, Row 210. Zero change is assumed."},null,null,{"$f":"Trucks!J210","v":1.5},{"$f":"G131","v":1.5},null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Total Number of Persons Entering CBD in Trucks and Other Comm'l Veh's",null,null,null,null,{"$f":"G130*G131","v":50589},{"$f":"H130*H131","v":49773.996225517723},{"$f":"H132-G132","v":-815.00377448227664},{"$f":"I132/G132","v":-1.6110296200404765E-2},null,null,null,{"$f":"G132/G$182","v":1.4570564516129033E-2},{"$f":"H132/H$182","v":1.3734546419844847E-2},{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Results 1-4: # People Entering CBD in Autos, Taxis or Trucks/CV's",null,null,null,null,{"$f":"G111+G119+G127+G132","v":634685.64868754474},{"$f":"H111+H119+H127+H132","v":574277.51196703233},{"$f":"H134-G134","v":-60408.136720512412},{"$f":"I134/G134","v":-9.5178041043513947E-2},null,null,"Thru-trips as % of transit trips",{"$f":"G134/G$182","v":0.18280116609664307},{"$f":"H134/H$182","v":0.15846509712114579},{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"People Entering CBD via Transit (broadly defined)",null,null,null,null,{"$f":"CONCATENATE(\"Note: All entries in this section (Transit) are reduced by percent shown in Cell M\",P136, \", to reflect estimated through-trips, i.e., trips that enter CBD only to reach a final destination outside.\")","v":"Note: All entries in this section (Transit) are reduced by percent shown in Cell M136, to reflect estimated through-trips, i.e., trips that enter CBD only to reach a final destination outside."},null,null,null,null,null,0.02,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"This figure is applied in Cells G\",P149,\", G\",P154,\", G\",P158,\", G\",P161,\", G\",P170,\" and G\",P173,\" to reflect fact that not all 'transit' trips into CBD end there.\" )","v":"This figure is applied in Cells G149, G154, G158, G161, G170 and G173 to reflect fact that not all 'transit' trips into CBD end there."},null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,"Number in Baseline","Est'd No. from Plan Being Modeled","Increase in Plan vs. Baseline","Increase %, Plan vs. Baseline",null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,"Number in Baseline",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"1: Number of People Entering CBD in Subways",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Riders entering and leaving CBD via subways",null,null,null,null,{"$f":"Subways!AN110","v":4125134.7330134055},{"$f":"Subways!AN392","v":4519827.5714585967},{"$f":"H144-G144","v":394692.83844519127},{"$f":"I144/G144","v":9.5679987198107511E-2},null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,{"$f":"CONCATENATE(\"'Before' and 'after' figure are from 'Subways' worksheet; Before is from Row \",Subways!O110, \". After is from Row \",Subways!O392, \" and reflects impacts of subway fare and service changes, congestion charge and taxi surcharge (as applicable).\")","v":"'Before' and 'after' figure are from 'Subways' worksheet; Before is from Row 110. After is from Row 392 and reflects impacts of subway fare and service changes, congestion charge and taxi surcharge (as applicable)."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,"These cells show change in number of people going by subway into CBD, in absolute and percentage terms.",null,null,null,{"$f":"ROW()","v":146}]
[null,"Subway passenger trips to CBD as % of trips to and from CBD.",null,null,null,null,{"$f":"Subways!D83/Subways!J83","v":0.50668340533169143},{"$f":"G147","v":0.50668340533169143},null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of inbound to total in 'Subways' worksheet, Row \",Subways!O83, \".\")","v":"Calculated as ratio of inbound to total in 'Subways' worksheet, Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Riders entering CBD via subways",null,null,null,null,{"$f":"G147*G144*(1-$M$136)","v":2048334.5676957644},{"$f":"H147*H144*(1-$M$136)","v":2244319.1929103364},{"$f":"H149-G149","v":195984.62521457206},{"$f":"I149/G149","v":9.5679987198107636E-2},null,null,null,{"$f":"G149/G$182","v":0.58995811281560029},{"$f":"H149/H$182","v":0.61929337552713482},{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Row \",P147, \" times Row \",P144, \".\")","v":"Row 147 times Row 144."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"2: Number of People Entering CBD in NYC Buses",null,null,null,null,null,null,null,null,null,"These cells show change in number of people going by bus into CBD, in absolute and percentage terms.",null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Riders entering CBD via buses from elsewhere in NYC",null,null,null,null,{"$f":"Buses!I234*(1-$M$136)","v":75293.399999999994},{"$f":"G154+I154*(1-$M$136)","v":76251.447993432666},{"$f":"J154*G154","v":977.59999329864741},{"$f":"Results!I149","v":1.2983873663543515E-2},null,null,null,{"$f":"G154/G$182","v":2.168588709677419E-2},{"$f":"H154/H$182","v":2.1040686532404158E-2},{"$f":"ROW()","v":154}]
[null,{"$f":"CONCATENATE(\"'Before' figure is from 'Buses' worksheet, Row \",Buses!O234, \". Percent Increase is from 'Results' worksheet, Row \",Results!N149, \" which in turn is from 'Buses' worksheet. Figures for Plan Being Modeled are calculated from 'Before' and Percent Increase.\")","v":"'Before' figure is from 'Buses' worksheet, Row 234. Percent Increase is from 'Results' worksheet, Row 149 which in turn is from 'Buses' worksheet. Figures for Plan Being Modeled are calculated from 'Before' and Percent Increase."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"3: Number of People Entering CBD in NJ Transit Buses",null,null,null,null,{"$f":"Buses!$G$234*(1-$M$136)","v":187252.52},{"$f":"Buses!$G$234*(1-$M$136)","v":187252.52},{"$f":"H158-G158","v":0},{"$f":"I158/G158","v":0},null,"These rows show zero change w/ cordon toll, because the BTA model doesn't (yet) include algorithms to feed back the impact of CBD tolls to usage of NJ Transit buses or  PATH trains or commuter rail.",null,{"$f":"G158/G$182","v":5.3932177419354833E-2},{"$f":"H158/H$182","v":5.1670121412803527E-2},{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Baseline figure is copied from 'Buses' tab, Cell G\",Buses!O234, \" and is not varied in the BTA.\")","v":"Baseline figure is copied from 'Buses' tab, Cell G234 and is not varied in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"4: Number of People Entering CBD via MTA Commuter Rail (LIRR / Metro-No)",null,null,null,null,{"$f":"('Hub-Bound'!$E139+'Hub-Bound'!$E140)*(1-$M$136)","v":224656.18},{"$f":"('Hub-Bound'!$E139+'Hub-Bound'!$E140)*(1-$M$136)","v":224656.18},{"$f":"H161-G161","v":0},{"$f":"I161/G161","v":0},null,null,null,{"$f":"G161/G$182","v":6.4705120967741933E-2},{"$f":"H161/H$182","v":6.1991219646799114E-2},{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Baseline figure is sum of figures from 'Hub-Bound' tab, Cells E\",'Hub-Bound'!R139,\" and E\",'Hub-Bound'!R140, \" and is not varied in the BTA.\")","v":"Baseline figure is sum of figures from 'Hub-Bound' tab, Cells E139 and E140 and is not varied in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"5: Number of People Entering CBD via Amtrak or NJ Transit",null,null,null,null,{"$f":"('Hub-Bound'!$E141+'Hub-Bound'!$E142)*(1-$M$136)","v":97033.72},{"$f":"('Hub-Bound'!$E141+'Hub-Bound'!$E142)*(1-$M$136)","v":97033.72},{"$f":"H164-G164","v":0},{"$f":"I164/G164","v":0},null,null,null,{"$f":"G164/G$182","v":2.79475E-2},{"$f":"H164/H$182","v":2.6775309050772626E-2},{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Baseline figure is sum of figures from 'Hub-Bound' tab, Cells E\",'Hub-Bound'!R141,\" and E\",'Hub-Bound'!R142, \" and is not varied in the BTA.\")","v":"Baseline figure is sum of figures from 'Hub-Bound' tab, Cells E141 and E142 and is not varied in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"6: Number of People Entering CBD via PATH",null,null,null,null,{"$f":"'Hub-Bound'!$E$149*(1-$M$136)","v":119738.36},{"$f":"'Hub-Bound'!$E$149*(1-$M$136)","v":119738.36},{"$f":"H167-G167","v":0},{"$f":"I167/G167","v":0},null,null,null,{"$f":"G167/G$182","v":3.4486854838709675E-2},{"$f":"H167/H$182","v":3.3040386313465786E-2},{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"Baseline figure is copied from 'Hub-Bound' tab, Cell E\",'Hub-Bound'!R149, \" and is not varied in the BTA.\")","v":"Baseline figure is copied from 'Hub-Bound' tab, Cell E149 and is not varied in the BTA."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"7: Number of People Entering CBD via Bicycle ",null,null,null,null,{"$f":"0.5*'Hub-Bound'!$O151*(1-$M$136)","v":28639.52},{"$f":"G170*(1+Bicycles!L245)","v":33746.520600341151},{"$f":"H170-G170","v":5107.0006003411509},{"$f":"I170/G170","v":0.17832004867194529},null,null,null,{"$f":"G170/G$182","v":8.2487096774193549E-3},{"$f":"H170/H$182","v":9.3119538080411561E-3},{"$f":"ROW()","v":170}]
[null,{"$f":"CONCATENATE(\"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O\",'Hub-Bound'!R151, \". 'After' figure increases baseline by factor derived in 'Bicycles' tab and shown there in Cell L\",Bicycles!O245, \".\")","v":"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O151. 'After' figure increases baseline by factor derived in 'Bicycles' tab and shown there in Cell L245."},null,null,null,null,null,null,null,null,null,"Change in number of people taking transit into CBD.",null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"8: Number of People Entering CBD via Ferry",null,null,null,null,{"$f":"0.5*'Hub-Bound'!$O153*(1-$M$136)","v":52948.909999999996},{"$f":"G173*(1+J170)","v":62390.76220832645},{"$f":"H173-G173","v":9441.8522083264543},{"$f":"I173/G173","v":0.17832004867194537},null,null,null,{"$f":"G173/G$182","v":1.5250262096774192E-2},{"$f":"H173/H$182","v":1.7215993986845046E-2},{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O\",'Hub-Bound'!R153, \". 'After' figure increases baseline by *bicycles* increase factor shown directly above, in Cell J\",P170, \".\")","v":"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O153. 'After' figure increases baseline by *bicycles* increase factor shown directly above, in Cell J170."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"9: Number of People Entering CBD via (Roosevelt Island) Tramway",null,null,null,null,{"$f":"0.5*'Hub-Bound'!$O160*(1-$M$136)","v":3763.2},{"$f":"G176*(1+J173)","v":4434.2540071622643},{"$f":"H176-G176","v":671.0540071622645},{"$f":"0.5*I176/G176","v":8.9160024335972643E-2},null,null,null,{"$f":"G176/G$182","v":1.0838709677419354E-3},{"$f":"H176/H$182","v":1.2235800240513975E-3},{"$f":"ROW()","v":176}]
[null,{"$f":"CONCATENATE(\"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O\",'Hub-Bound'!R156, \". 'After' figure increases baseline by one-half of *bicycles* increase factor shown directly above, in Cell J\",P173, \".\")","v":"Baseline figure is one-half of combined inbound and outbound given in 'Hub-Bound' tab, Cell O156. 'After' figure increases baseline by one-half of *bicycles* increase factor shown directly above, in Cell J173."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Number Entering CBD via Transit (subway, bus, rail, ferry, bicycle, tram)",null,null,null,null,{"$f":"SUM(G149:G176)","v":2837660.3776957649},{"$f":"SUM(H149:H176)","v":3049822.9577195989},{"$f":"H179-G179","v":212162.58002383402},{"$f":"I179/G179","v":7.4766727439072228E-2},null,null,null,{"$f":"G179/G$182","v":0.8172984958801166},{"$f":"H179/H$182","v":0.8415626263023176},{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P149, \" through \",P173, \".\")","v":"Sum of Rows 149 through 173."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Number of People Entering in Transit, Autos + Taxis combined (rnd'd)",null,null,null,null,{"$f":"ROUND(G179+G134,-3)","v":3472000},{"$f":"ROUND(H179+H134,-3)","v":3624000},{"$f":"H182-G182","v":152000},{"$f":"I182/G182","v":4.377880184331797E-2},null,"Change in # of people taking transit, auto or taxi into CBD.",null,{"$f":"G182/G$182","v":1},{"$f":"H182/H$182","v":1},{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"Row \",P179, \" plus Row \",P134, \".\")","v":"Row 179 plus Row 134."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Number of People Entering CBD via Transit relative to Combined Number of People Entering CBD via Auto, Taxi & Truck (Commercial Vehicle)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"G179/G134","v":4.4709698156303244},{"$f":"H179/H134","v":5.3107128420774394},{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Number using MTA public transportation",null,null,null,{"$f":"G187/$G$179","v":0.8275423536070291},{"$f":"G149+G154+G161","v":2348284.1476957644},"\"After service from Hoboken was abandoned in 1967, the Staten Island Ferry was New York Harbor’s only regular passenger ferry for 19 years. Since the 1980s, however, ferry service has been rebounding, as New Yorkers rediscovered the waterfront and transportation experts sought to ease subway, bus and car congestion. At last count, according to the city’s Economic Development Corporation, 70 or so boats carry nearly 30 million riders a year on 20 routes in the harbor (the Staten Island Ferry still handles two-thirds of them), making it among the largest ferry markets in the country.\" <http://www.nytimes.com/2014/12/30/nyregion/how-a-ferry-ride-helped-make-brooklyn-the-original-suburb.html> (Sam Roberts, 12-30-14)",null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Number using NJT or PANYNJ public transportation or Amtrak",null,null,null,{"$f":"G188/$G$179","v":0.14237947683086577},{"$f":"G158+G164+G167","v":404024.6},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Number using bicycles, ferries or tramways",null,null,null,{"$f":"G189/$G$179","v":3.0078169562104951E-2},{"$f":"G170+G173+G176","v":85351.62999999999},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Summary: Fine Categories",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,"Baseline",null,null,null,"With Plan Being Modeled",null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"People Coming to Manhattan CBD on a Weekday",null,null,null,"# of People (rounded)","Share of Total",null,null,"# of People (rounded)","Share of Total",null,null,null,null,{"$f":"ROW()","v":193}]
[null,"(excludes thru-trips where destination is not CBD)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"Auto, SOV",null,null,null,{"$f":"ROUND(G336,-2)","v":290100},{"$f":"F195/F$209","v":8.3546928548800511E-2},{"$f":"CONCATENATE(\"Breakout of Auto into SOV and HOV is done in Rows \",P306, \"-\",P337, \".\")","v":"Breakout of Auto into SOV and HOV is done in Rows 306-337."},null,{"$f":"ROUND(H336,-2)","v":213300},{"$f":"J195/J$209","v":5.8855991832454956E-2},{"$f":"CONCATENATE(\"Do not infer from the percentages in the light blue box at left that the number of autos entering the CBD with one or more passenger is (and will be, with pricing) roughly \" & \"comparable to the number of single-occupant vehicles. As can be seen in Rows \",P327, \"-\",P331, \", SOV's baseline share of autos is \",ROUND((1-F329)*100,0), \"%. Even with pricing, that share will be still be \",ROUND((1-I329)*100,0), \"%. The 'illusion' arises from the natural confusion between the number of persons and the number of vehicles.\")","v":"Do not infer from the percentages in the light blue box at left that the number of autos entering the CBD with one or more passenger is (and will be, with pricing) roughly comparable to the number of single-occupant vehicles. As can be seen in Rows 327-331, SOV's baseline share of autos is 75%. Even with pricing, that share will be still be 68%. The 'illusion' arises from the natural confusion between the number of persons and the number of vehicles."},null,null,null,{"$f":"ROW()","v":195}]
[null,"Auto, HOV-2 or more",null,null,null,{"$f":"ROUND(G335,-2)","v":207500},5.9758661405984508E-2,null,null,{"$f":"ROUND(H335,-2)","v":219700},6.0621947518004468E-2,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Taxi",null,null,null,{"$f":"ROUND(G119,-2)","v":30000},8.6398064683351102E-3,{"$f":"CONCATENATE(\"Data in these rows is copied from Rows \",P119, \"-\",P173,\".\")","v":"Data in these rows is copied from Rows 119-173."},null,{"$f":"ROUND(H119,-2)","v":31700},8.7469992549874444E-3,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"UberLyft",null,null,null,{"$f":"ROUND(G127,-2)","v":56500},{"$f":"F198/F$209","v":1.6271635515364456E-2},null,null,{"$f":"ROUND(H127,-2)","v":59800},1.6500648436853289E-2,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Truck",null,null,null,{"$f":"ROUND(G132,-2)","v":50600},1.4572473576591884E-2,null,null,{"$f":"ROUND(H132,-2)","v":49800},1.3741342678182169E-2,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Subway",null,null,null,{"$f":"ROUND(G149,-2)","v":2048300},0.58989718630302679,null,null,{"$f":"ROUND(H149,-2)","v":2244300},0.61927099141855912,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"MTA Commuter Rail",null,null,null,{"$f":"ROUND(G161,-2)","v":224700},6.4712150447829964E-2,null,null,{"$f":"ROUND(H161,-2)","v":224700},6.2001600397340026E-2,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"NJ Transit Rail + Amtrak",null,null,null,{"$f":"ROUND(G164,-2)","v":97000},2.7935374247616853E-2,null,null,{"$f":"ROUND(H164,-2)","v":97000},2.6765265859109849E-2,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"NYC Bus",null,null,null,{"$f":"ROUND(G154,-2)","v":75300},2.1685914235521124E-2,null,null,{"$f":"ROUND(H154,-2)","v":76300},2.1053502938660634E-2,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"NJ Transit Bus",null,null,null,{"$f":"ROUND(G158,-2)","v":187300},5.3941191717305534E-2,null,null,{"$f":"ROUND(H158,-2)","v":187300},5.1681796859910048E-2,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"PATH",null,null,null,{"$f":"ROUND(G167,-2)","v":119700},3.4472827808657083E-2,null,null,{"$f":"ROUND(H167,-2)","v":119700},3.3028889931293284E-2,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"Ferry",null,null,null,{"$f":"ROUND(G173,-2)","v":52900},1.5234858739164242E-2,null,null,{"$f":"ROUND(H173,-2)","v":62400},1.7218067934107777E-2,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Bicycle",null,null,null,{"$f":"ROUND(G170,-2)","v":28600},8.2366154998128049E-3,null,null,{"$f":"ROUND(H170,-2)","v":33700},9.2988604067216693E-3,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Tramway",null,null,null,{"$f":"ROUND(G176,-2)","v":3800},{"$f":"F208/F$209","v":1.0943754859891138E-3},null,null,{"$f":"ROUND(H176,-2)","v":4400},{"$f":"J208/J$209","v":1.2140945338152921E-3},null,null,null,null,{"$f":"ROW()","v":208}]
[null,"T O T A L",null,null,null,{"$f":"SUM(F195:F208)","v":3472300},1,null,null,{"$f":"SUM(J195:J208)","v":3624100},1,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Summary: Coarse Categories",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"\"Coarse\" Breakout of People Entering CBD on a Weekday",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Motor Vehicle Users Who Pay Toll",null,null,null,{"$f":"SUM(D258:D262)","v":161000},{"$f":"F214/F$217","v":4.6349608475356976E-2},null,null,{"$f":"SUM(J194:J198)","v":524500},{"$f":"J214/J$217","v":0.14472558704230015},null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Motor Vehicle Users Who Don't Pay Toll",null,null,null,{"$f":"SUM(D248:D252)","v":475000},{"$f":"F215/F$217","v":0.13674573929064948},null,"Motor Vehicle Users Who Pay Toll",{"$f":"SUM(J195:J199)","v":574300},{"$f":"J215/J$217","v":0.15846692972048232},null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Transit Users",null,null,null,{"$f":"SUM(F200:F208)","v":2837600},{"$f":"F216/F$217","v":0.81690465223399356},null,"Transit Users",{"$f":"SUM(J200:J208)","v":3049800},{"$f":"J216/J$217","v":0.84153307027951763},null,null,null,null,{"$f":"ROW()","v":216}]
[null,"T O T A L",null,null,null,{"$f":"SUM(F214:F216)","v":3473600},{"$f":"SUM(G214:G216)","v":1},null,null,{"$f":"J215+J216","v":3624100},{"$f":"K215+K216","v":1},null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"People Coming to Manhattan Central Business District on a Typical Weekday",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"(excludes thru-trips where destination is not CBD)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,null,null,"# of People (rounded)","Share of Total",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Do not pay a fare or CBD toll",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"Auto, SOV",null,{"$f":"ROUND((1-Approaches!$J$196-Approaches!$L$196)*F195,-3)","v":207000},{"$f":"D248/$D$273","v":5.9568345323741008E-2},{"$f":"CONCATENATE(\"Of the roughly \",SUM(D248:D250)/1000,\",000 individuals who travel to the CBD by private car or truck without paying a CBD toll, approximately \",ROUND((Approaches!I192/(Approaches!I192+Approaches!K192))*SUM(D248:D250),-3)/1000,\",000 (\",ROUND(100*Approaches!I192/(Approaches!I192+Approaches!K192),0), \"%) arrive by crossing 60th St. while the remaining \",ROUND(SUM(D248:D250)-(Approaches!I192/(Approaches!I192+Approaches!K192))*SUM(D248:D250),-3)/1000, \",000 (\",100-ROUND(100*Approaches!I192/(Approaches!I192+Approaches!K192),0), \"%) arrive via an East River bridge.\")","v":"Of the roughly 391,000 individuals who travel to the CBD by private car or truck without paying a CBD toll, approximately 204,000 (52%) arrive by crossing 60th St. while the remaining 187,000 (48%) arrive via an East River bridge."},null,"All auto + truck",{"$f":"CONCATENATE(\"That's \",ROUND(H249/($H$249+$H$259)*100,0), \"% of all drivers entering CBD\")","v":"That's 71% of all drivers entering CBD"},null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Auto, HOV-2 or more",null,{"$f":"ROUND((1-Approaches!$J$196-Approaches!$L$196)*F196,-3)","v":148000},4.2589928057553954E-2,null,null,{"$f":"SUM(D248:D250)","v":391000},null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Truck",null,{"$f":"ROUND((1-Approaches!$J$196-Approaches!$L$196)*F199,-3)","v":36000},1.0359712230215827E-2,null,null,{"$f":"CONCATENATE(\"Rows \",P248,\"-\",P250, \".\")","v":"Rows 248-250."},null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Taxi",null,{"$f":"ROUND((1-(Approaches!$J$188+Approaches!$L$188)/Approaches!$M$188)*F197,-3)","v":29000},8.3453237410071948E-3,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"UberLyft",null,{"$f":"ROUND((1-(Approaches!$J$188+Approaches!$L$188)/Approaches!$M$188)*F198,-3)","v":55000},1.5827338129496403E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Bicycle",null,{"$f":"ROUND(G170,-3)","v":29000},8.3453237410071948E-3,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"S.I. Ferry",null,{"$f":"ROUND(0.5*('Hub-Bound'!O157+'Hub-Bound'!O158),-3)","v":36000},1.0359712230215827E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"T O T A L  Do Not Pay",null,{"$f":"SUM(D248:D254)","v":540000},0.1553956834532374,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,null,null,null,null,"These CBD toll-payers take one of these tunnels: Holland, Lincoln, Bklyn-Batt, Q-Midtown",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"Do pay a fare or CBD toll",null,null,null,null,{"$f":"CONCATENATE(\"All figures were derived from NYMTC 2015 'Hub-Bound' report and compiled by C. Komanoff in 'Travel' worksheet of the BTA spreadsheet. (Rows \",Travel!P243, \"-\",P273, \").\")","v":"All figures were derived from NYMTC 2015 'Hub-Bound' report and compiled by C. Komanoff in 'Travel' worksheet of the BTA spreadsheet. (Rows 243-273)."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,"Auto, SOV",null,{"$f":"ROUND((Approaches!$J$196+Approaches!$L$196)*F195,-3)","v":83000},{"$f":"D258/$D$273","v":2.3884892086330937E-2},null,null,"All auto + truck",{"$f":"CONCATENATE(\"That's \",ROUND(H259/($H$249+$H$259)*100,0), \"% of all drivers entering CBD\")","v":"That's 29% of all drivers entering CBD"},null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Auto, HOV-2 or more",null,{"$f":"ROUND((Approaches!$J$196+Approaches!$L$196)*F196,-3)","v":60000},1.7266187050359712E-2,null,null,{"$f":"SUM(D258:D260)","v":158000},null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Truck",null,{"$f":"ROUND((Approaches!$J$196+Approaches!$L$196)*F199,-3)","v":15000},4.3165467625899279E-3,null,null,{"$f":"CONCATENATE(\"Rows \",P258,\"-\",P260, \".\")","v":"Rows 258-260."},null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,"Taxi",null,{"$f":"ROUND((Approaches!$J$188+Approaches!$L$188)/Approaches!$M$188*F197,-3)","v":1000},2.8776978417266187E-4,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"UberLyft",null,{"$f":"ROUND((Approaches!$J$188+Approaches!$L$188)/Approaches!$M$188*F198,-3)","v":2000},5.7553956834532373E-4,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Subway",null,{"$f":"ROUND(G149,-3)","v":2048000},0.5893525179856115,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"MTA Commuter Rail",null,{"$f":"ROUND(G161,-3)","v":225000},6.4748201438848921E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"NJ Transit Rail + Amtrak",null,{"$f":"ROUND(G164,-3)","v":97000},2.7913669064748202E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"NYC Bus",null,{"$f":"ROUND(G154,-3)","v":75000},2.1582733812949641E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"NJ Transit Bus",null,{"$f":"ROUND(G158,-3)","v":187000},5.3812949640287773E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"PATH",null,{"$f":"ROUND(G167,-3)","v":120000},3.4532374100719423E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Ferry (NJ or Qns or Bklyn)",null,{"$f":"ROUND(0.5*SUM('Hub-Bound'!O154:O156),-3)","v":18000},5.1798561151079137E-3,"Sum of percentages in this column differs from total due to rounding.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"Roosevelt Is. Tramway",null,{"$f":"ROUND(0.5*'Hub-Bound'!O160,-3)","v":4000},1.1510791366906475E-3,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"T O T A L  Pay",null,{"$f":"SUM(D258:D270)","v":2935000},0.8446043165467626,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"T O T A L  (all trips to CBD)",null,{"$f":"D255+D271","v":3475000},{"$f":"D273/F$209","v":1.0007775825821501},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"How we estimate changes in carpooling (vehicle occupancy) due to higher price to drive into CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Our formula is: Qi = 1 + 2 x (Q0i - 1) / (1 + eδ(gi - goi))",null,null,null,null,{"$f":"CONCATENATE(\"(See citation in Row \",P297, \".)\")","v":"(See citation in Row 297.)"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"where",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,null,null,null,null,null,"Work trips","Non-wk trips","Through trips",null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"δ = vehicle occupany elasticity (VOE)",null,null,null,null,{"$f":"-0.1/2","v":-0.05},{"$f":"-0.1","v":-0.1},{"$f":"AVERAGE(G282:H282)","v":-7.5000000000000011E-2},null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"VOE is defined in Graham et al. paper cited below. A value of negative 0.10 is used in another paper co-authored by Graham (A Road Pricing Model for the Mexico City Metropolitan Area, by Armado Crotte, Daniel J. Graham & Robert B. Noland, typescript, late 2009 or early 2010). We use that value for non-work trips but halve it for work trips to reflect presumed lower availability of car-pooling in NYC along with greater difficulty of car-pooling for work trips. For through trips we take average of work and non-work trips.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"go = generalized travel cost before tolling",null,null,null,null,{"$f":"'Motor Vs'!W270","v":27.871824758685438},{"$f":"'Motor Vs'!AF270","v":25.466352866367778},{"$f":"'Motor Vs'!AO270","v":20.445042116597243},null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O270, \" for respective column blocks.\")","v":"From 'Motor Vs' worksheet, Row 270 for respective column blocks."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"gi = generalized travel cost after tolling",null,null,null,null,{"$f":"'Motor Vs'!W362","v":34.124855362174152},{"$f":"'Motor Vs'!AF362","v":31.034110557740835},{"$f":"'Motor Vs'!AO362","v":25.891177563259216},null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O362, \" for respective column blocks.\")","v":"From 'Motor Vs' worksheet, Row 362 for respective column blocks."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Q0i = avg occupancy for road vehicles in the base, i.e., before tolling",null,null,null,null,{"$f":"G101","v":1.1499999999999999},{"$f":"G102","v":1.5},{"$f":"G103","v":1.2945212934424437},null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,{"$f":"CONCATENATE(\"From Rows \",P101, \" through \",P103,\".\")","v":"From Rows 101 through 103."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Qi = average occupancy for road vehicles after tolling",null,null,null,null,{"$f":"1+2*(G290-1)/(1+EXP(G282*(G288-G286)))","v":1.1732597011827808},{"$f":"1+2*(H290-1)/(1+EXP(H282*(H288-H286)))","v":1.6357061877593138},{"$f":"1+2*(I290-1)/(1+EXP(I282*(I288-I286)))","v":1.3538488359741803},null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,{"$f":"CONCATENATE(\"Calculated with formula in Row \",P278, \".\")","v":"Calculated with formula in Row 278."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Calculated change in car occupancy due to tolling (for plan being modeled)",null,null,null,null,{"$f":"G292-G290","v":2.3259701182780868E-2},{"$f":"H292-H290","v":0.13570618775931376},{"$f":"I292-I290","v":5.9327542531736555E-2},null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,{"$f":"CONCATENATE(\"Rows \",P292, \" less Row \",P290,\".\")","v":"Rows 292 less Row 290."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,"Source for formula: Testing for the Distributional Effects of National Road User Charging. Daniel J. Graham, Stephen Glaister, Mohammed Quddus, and Zia Wadud (Int'l J. of Sustainable Transportation, Vol. 3, No. 1, 2009, p. 21). Graham is at the Centre for Transport Studies, Department of Civil & Environmental Engineering, Imperial College London, London, UK.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"The paper notes, on p. 22: \"If the current cost is equal to the base costs, then the occupancy is equal to the base occupancy. As the current cost rises above the base cost, so the average occupancy rises. Note that the value of Q [occupancy] is bounded, it can never fall below one, and it never rises above twice the base occupancy.\"",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"Calculating changes in number of carpool (and SOV) vehicles due to higher price to drive into CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"Terminology",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,"SOV: Number of Single Occupant Vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"HOV: Number of Vehicles with 2 or more people",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"HOV2: Number of Vehicles with exactly 2 people",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,"HOV3: Number of Vehicles with exactly 3 people (we assume no vehicles have 4 or more people)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,null,null,null,null,null,"Baseline","With Plan",null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Assumed percentage of HOV's that have 3 people (note: we assume max = 3)",null,null,null,null,0.2,0.2,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Then we have these relationships",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P111, \".\")","v":"Copied from Row 111."},null,null,null,"Persons: SOV + 2 x HOV2 + 3 x HOV3 = ",{"$f":"ROUND(G111,0)","v":497605},{"$f":"ROUND(H111,0)","v":433026},null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P99, \".\")","v":"Copied from Row 99."},null,null,null,"Vehicles: SOV + HOV2 + HOV3 = ",{"$f":"G99","v":384400},{"$f":"H99","v":313170.38077011926},null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,{"$f":"CONCATENATE(\"Algebra on Row \",P314, \".\")","v":"Algebra on Row 314."},null,null,null,"HOV3 divided by HOV2",{"$f":"G314/(1-G314)","v":0.25},{"$f":"H314/(1-H314)","v":0.25},null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,{"$f":"CONCATENATE(\"Restatement of Row \",P319, \".\")","v":"Restatement of Row 319."},null,null,null,null,{"$f":"CONCATENATE(\"HOV3 = \",G319,\" x HOV2\")","v":"HOV3 = 0.25 x HOV2"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,{"$f":"CONCATENATE(\"Restatement of Row \",P318, \".\")","v":"Restatement of Row 318."},null,null,null,null,{"$f":"CONCATENATE(,G318, \" = SOV + (1+ \",G319, \") x HOV2\")","v":"384400 = SOV + (1+ 0.25) x HOV2"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,{"$f":"CONCATENATE(\"Restatement of Row \",P317, \".\")","v":"Restatement of Row 317."},null,null,null,null,{"$f":"CONCATENATE(,G317,\" = SOV +2 x HOV2 + 3 x ( \",G319, \" x HOV2)\")","v":"497605 = SOV +2 x HOV2 + 3 x ( 0.25 x HOV2)"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,{"$f":"CONCATENATE(\"Restatement of Row \",P321, \".\")","v":"Restatement of Row 321."},null,null,null,null,{"$f":"CONCATENATE(\"SOV = \",G318, \" - (1+ \",G319, \") x HOV2\")","v":"SOV = 384400 - (1+ 0.25) x HOV2"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,{"$f":"CONCATENATE(\"Restatement of Row \",P322, \".\")","v":"Restatement of Row 322."},null,null,null,null,{"$f":"CONCATENATE(\"SOV = \",G317, \" - (3 - \",G319, \") x HOV2\")","v":"SOV = 497605 - (3 - 0.25) x HOV2"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,{"$f":"CONCATENATE(\"Equating the two expressions for SOV in Rows \",P323, \" and \",P324, \"lets us solve for SOV and the other unknowns, directly below.\")","v":"Equating the two expressions for SOV in Rows 323 and 324lets us solve for SOV and the other unknowns, directly below."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,null,null,null,"V E H I C L E S",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,null,null,null,"HOV2",{"$f":"G327/$G$331","v":0.19633194588969824},{"$f":"(G317-G318)/((3-G319)-(1+G319))","v":75470},{"$f":"(H317-H318)/((3-H319)-(1+H319))","v":79903.746153253829},{"$f":"H327/$H$331","v":0.2551446466832592},null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,null,null,null,"HOV3",{"$f":"G328/$G$331","v":4.908298647242456E-2},{"$f":"G319*G327","v":18867.5},{"$f":"H319*H327","v":19975.936538313457},{"$f":"H328/$H$331","v":6.37861616708148E-2},null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,null,null,null,"HOV",{"$f":"F327+F328","v":0.24541493236212281},{"$f":"G327+G328","v":94337.5},{"$f":"H327+H328","v":99879.682691567286},{"$f":"I327+I328","v":0.318930808354074},null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,null,null,null,"SOV",{"$f":"G330/$G$331","v":0.75458506763787725},{"$f":"G318-G329","v":290062.5},{"$f":"H318-H329","v":213290.69807855197},{"$f":"H330/$H$331","v":0.68106919164592605},null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,null,null,null,"Total",{"$f":"G331/$G$331","v":1},{"$f":"G329+G330","v":384400},{"$f":"H329+H330","v":313170.38077011926},{"$f":"H331/$H$331","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,null,null,null,"P E R S O N S",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,"HOV2",{"$f":"G333/$G$337","v":0.30333296490188},{"$f":"2*G327","v":150940},{"$f":"2*H327","v":159807.49230650766},{"$f":"H333/$H$337","v":0.36904826108942107},null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,null,null,null,"HOV3",{"$f":"G334/$G$337","v":0.113749861838205},{"$f":"3*G328","v":56602.5},{"$f":"3*H328","v":59927.809614940372},{"$f":"H334/$H$337","v":0.13839309790853291},null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,null,null,null,"HOV",{"$f":"F333+F334","v":0.41708282674008501},{"$f":"G333+G334","v":207542.5},{"$f":"H333+H334","v":219735.30192144803},{"$f":"I333+I334","v":0.50744135899795395},null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,null,null,null,"SOV",{"$f":"G336/$G$337","v":0.58291717325991499},{"$f":"G330","v":290062.5},{"$f":"H330","v":213290.69807855197},{"$f":"H336/$H$337","v":0.49255864100204599},null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,null,null,null,"Total",{"$f":"G337/$G$337","v":1},{"$f":"G335+G336","v":497605},{"$f":"H335+H336","v":433026},{"$f":"H337/$H$337","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":337}]

{"sheet":"Distances","index":19,"n_rows":223,"n_cols":15,"rows_kept":223,"cut":false,"hidden":false,"merged":[[5,1,6,8],[8,1,9,8],[192,1,193,8],[202,2,202,9],[202,1,203,1],[195,1,196,8],[198,1,200,8],[13,1,14,8],[16,1,20,8],[26,1,27,1],[26,2,27,2],[26,4,27,4],[118,5,119,11]]}
[null,"Distances",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet has two sections.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"The first calculates the mean distance to commute to the Manhattan CBD via auto -- a key input for the Motor Vs worksheet (Motor Vs Weekends, too).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"The second estimates the mean street distance between two randomly selected locations within the Manhattan CBD -- a quantity that informs the specification of mean trip distances for intra-CBD medallion taxi rides in the Taxis worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"1. Mean Distance to Commute to Manhattan CBD via Auto",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"This section calculates the mean distance that CBD-bound commuters drive from their origin to the edge of the CBD. It was developed by Josef Szende on March 3, 2011, and revised by Josef and C. Komanoff in late May, 2011.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Data are based on map on p/ 49 of Bruce Schaller's 2006 report \"Necessity or Choice: Why People Drive In Manhattan,\" available at <http://bit.ly/hMv1>. In that report, Schaller assigned CBD auto commuters to roughly one hundred \"districts,\" of which approximately half are in the five boroughs and the other half outside. Here, Josef used GIS software to specify the driving distance from each district to the edge of the CBD, using shortest driving route from the center of each district to nearest CBD portal. The number of CBD auto commuters shown here is midpoint of each range specified on Schaller's map. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Averages for all auto commuters as well as for the component subgroups are shown below.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"A. Commuters starting in New York City",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Community Board","Distance to\nCBD (miles)",null,"CBD Auto Commuters",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Bronx",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"1 & 2",5.4,null,750,null,"Map from Bruce Schaller, \"Necessity or Choice: Why People Drive In Manhattan\" (p. 49)",null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"3 & 6",9.3000000000000007,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,4,4.9000000000000004,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,5,7.7,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,7,9.6999999999999993,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,8,9.9,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,9,8.1,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,10,10.199999999999999,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,11,12.2,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,12,12.8,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Average",{"$f":"SUMPRODUCT(C31:C40,E31:E40)/E41","v":9.68},"Sum",{"$f":"SUM(E31:E40)","v":17500},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Manhattan (excludes Districts 1 to 6, since these are in the CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,7,1.4,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,8,1,null,{"$f":"6100","v":6100},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,9,4.3,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,10,4.5,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,11,2.8,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,12,6.8,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Average",{"$f":"SUMPRODUCT(C44:C49,E44:E49)/E50","v":2.7912457912457911},"Sum",{"$f":"SUM(E44:E49)","v":14850},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Queens",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,1,3.3,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,2,2.2000000000000002,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,3,5.2,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,4,5.8,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,5,6.4,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,6,7.1,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,7,8.8000000000000007,null,6100,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,8,9.6999999999999993,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,9,11.1,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,10,11.8,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,11,12.6,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,12,12.8,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,13,15.7,null,6100,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,14,16.5,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Average",{"$f":"SUMPRODUCT(C53:C66,E53:E66)/E67","v":9.6832648870636557},"Sum",{"$f":"SUM(E53:E66)","v":48700},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Brooklyn",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,1,2.4,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,2,2.1,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,3,3.7,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,4,4.0999999999999996,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,5,7.7,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,6,3.2,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,7,7.4,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,8,4.8,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,9,4.7,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,10,7.8,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,11,9.1999999999999993,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,12,7.4,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,13,10.8,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,14,7.6,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,15,9.8000000000000007,null,3250,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,16,8.1,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,17,8.1,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,18,9.6999999999999993,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Average",{"$f":"SUMPRODUCT(C70:C87,E70:E87)/E88","v":7.351162790697674},"Sum",{"$f":"SUM(E70:E87)","v":32250},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Staten Island",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,1,14.3,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,2,16.2,null,4500,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,3,21.5,null,6100,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Average",{"$f":"SUMPRODUCT(C91:C93,E91:E93)/E94","v":17.774834437086092},"Sum",{"$f":"SUM(E91:E93)","v":15100},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"NYC Total",{"$f":"(C41*E41+C50*E50+C67*E67+C88*E88+C94*E94)/E96","v":9.2515576323987538},null,{"$f":"E94+E88+E67+E50+E41","v":128400},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"B. Commuters Outside of New York City but within MTA 12-County Region",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Nassau",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,4,18.399999999999999,null,3250,"Great Neck and Port Washington, two peninsulas on LI Sound, across from the Bronx",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,5,25.2,null,2000,"Oyster Bay, eastern North Shore",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,7,21.8,null,2000,"Garden City, south of Great Neck",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,8,27.1,null,750,"Bethpage, south of Oyster Bay",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,10,17.899999999999999,null,2000,"Franklin Square, north of East Atlantic Beach",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,11,24.1,null,750,"Freeport, from South Shore to central LI",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,12,28.7,null,750,"Levittown, between Oyster Bay and Massapequa, central LI",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,13,32.1,null,750,"Massapequa, eastern-most part of the south shore of the county",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,15,20.100000000000001,null,2000,"Valley Stream, east of Kennedy Airport, north of East Atlantic Beach, south of Franklin Square",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,16,24.2,null,2000,"Island Park, south shore of Nassau County",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,17,29.2,null,750,"Merrick, south shore, north of Jones Beach",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Average",{"$f":"SUMPRODUCT(C101:C111,E101:E111)/E112","v":22.594117647058823},"Sum",{"$f":"SUM(E101:E111)","v":17000},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Suffolk",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,6,34.4,null,2000,"Huntington Bay, Western North Shore",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,9,36.6,null,750,"Amityville, Western south shore, closest to Nassau border",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,14,42.4,null,750,"West Islip, south shore, SE corner of map",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"[Off the map]",50,null,{"$f":"ROUND(E112*Incidence!N92/Incidence!M92-SUM(E115:E117),-2)","v":4100},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Average",{"$f":"SUMPRODUCT(C115:C118,E115:E118)/E119","v":43.82236842105263},"Sum",{"$f":"SUM(E115:E118)","v":7600},{"$f":"CONCATENATE(\"'Off the map' denotes districts too far from CBD to be included in Schaller's map. CBD auto commuters were estimated as number necessary to equate ratio of Suffolk's total to Nassau's with the ratio in 'Incidence' tab (Row \",Incidence!AA92, \"). Distance is Komanoff est.\")","v":"'Off the map' denotes districts too far from CBD to be included in Schaller's map. CBD auto commuters were estimated as number necessary to equate ratio of Suffolk's total to Nassau's with the ratio in 'Incidence' tab (Row 92). Distance is Komanoff est."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Rockland County",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,40,32.1,"*",3250,"Piermont - eastern county including Hudson Riverfront",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,41,28.2,null,4500,"Monsey - western county, bordering Orange County",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Average",{"$f":"SUMPRODUCT(C122:C123,E122:E123)/E124","v":29.835483870967742},"Sum",{"$f":"SUM(E122:E123)","v":7750},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Westchester County",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,42,31.7,null,2000,"Hawthorne from northern county Hudson River inland to Valhalla",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,43,42.4,"*",2000,"Bedford northeastern corner of the county on the CT border",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,44,20.7,null,3250,"Tarrytown from mid - county Hudson River inland to Rosedale, NY ",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,45,22.9,null,2000,"Mamaroneck eastern LI Sound shore",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,46,15.3,null,3250,"Yonkers western county just north of NYC",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,47,18.5,null,3250,"New Rochelle eastern county just north of NYC",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Average",{"$f":"SUMPRODUCT(C127:C132,E127:E132)/E133","v":23.563492063492063},"Sum",{"$f":"SUM(E127:E132)","v":15750},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Putnam County",50,null,{"$f":"ROUND(Incidence!Q92/(Incidence!O92+Incidence!P92)*(E124+E133),-2)","v":1100},{"$f":"CONCATENATE(\"Putnam auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row \",Incidence!AA$92, \". Distance is Komanoff est.\")","v":"Putnam auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row 92. Distance is Komanoff est."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Orange County",60,null,{"$f":"ROUND(Incidence!S92/(Incidence!O92+Incidence!P92)*(E124+E133),-2)","v":2400},{"$f":"CONCATENATE(\"Orange auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row \",Incidence!AA$92, \". Distance is Komanoff est.\")","v":"Orange auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row 92. Distance is Komanoff est."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,39,36,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Dutchess County",75,null,{"$f":"ROUND(Incidence!R92/(Incidence!O92+Incidence!P92)*(E124+E133),-2)","v":1700},{"$f":"CONCATENATE(\"Dutchess auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row \",Incidence!AA$92, \". Distance is Komanoff est.\")","v":"Dutchess auto commuters are prorated from sum of Westchester + Rockland, using ratios of commuters in 'Incidence' tab, Row 92. Distance is Komanoff est."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"7 non-NYC MTA Counties",{"$f":"(C112*E112+C119+E119+C124*E124+C133*E133+C135*E135+C137*E137+C140*E140)/E142","v":24.776619556630791},null,{"$f":"E112+E119+E124+E133+E135+E137+E140","v":53300},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"MTA 12 Counties",{"$f":"(C96*E96+C142*E142)/E144","v":13.805689721345191},null,{"$f":"E96+E142","v":181700},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"B. Commuters Outside MTA 12-County Region",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"New Jersey",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,18,36.799999999999997,null,2000,"West Milford - NW corner of map",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,19,28.5,null,3250,"Ramsey - at Rockland Co. border",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,20,23.2,null,3250,"Hilsdale - directly south of Spring Valley",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,21,16.399999999999999,null,6100,"Westwood - northernmost part of state's Hudson riverfront",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,22,43.8,"*",750,"Boonton",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,23,17.399999999999999,null,3250,"Wayne",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,24,13.3,null,3250,"Passaic",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,25,33.5,"*",750,"Madison",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,26,18.899999999999999,null,2000,"Summit",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,27,14.3,null,750,"West Orange",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,28,10.6,null,750,"Irvington",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,29,7.8,null,4500,"Fort Lee",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,30,14.3,null,2000,"Berkeley Heights",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,31,10.5,null,750,"Union",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,32,5.4,null,2000,"Hoboken",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,33,24.2,null,750,"North Plainfield",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,34,19.5,null,750,"Cranford",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,35,8.1,null,750,"Elizabeth",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,36,5.7,null,2000,"Jersey City",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,37,26.3,null,750,"Metuchen",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,38,8.6999999999999993,null,750,"Bayonne",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"[Off the map]",45,null,4000,"Off the map' denotes districts too far from CBD to be included in Schaller's map. Number and distance are Komanoff ests.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Average",{"$f":"SUMPRODUCT(C149:C170,E149:E170)/E171","v":19.839578713968958},"Sum",{"$f":"SUM(E149:E170)","v":45100},{"$f":"E171/E144","v":0.24821133736929005},"NJ vs. 12-county MTA region",null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Connecticut",null,"Estimates*",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,1,45.6,"*",2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,2,32.1,null,2000,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,3,27.6,null,750,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"[Off the map]",50,null,1000,"'Off the map' denotes districts too far from CBD to be included in Schaller's map. Number and distance are Komanoff ests.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"Average",{"$f":"SUMPRODUCT(C174:C177,E174:E177)/E178","v":39.321739130434786},"Sum",{"$f":"SUM(E174:E177)","v":5750},{"$f":"E178/E171","v":0.12749445676274945},"CT vs. NJ",null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Upstate NY + Other States",75,null,5000,"These areas were too far from CBD to be included in Schaller's map. Number and distance are Komanoff ests.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Non-MTA Counties",{"$f":"(C171*E171+C178*E178+C180*E180)/E182","v":26.783616830796777},null,{"$f":"E171+E178+E180","v":55850},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"All Car Commuters",{"$f":"(C144*E144+C182*E182)/E184","v":16.85690937641937},null,{"$f":"E144+E182","v":237550},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"* Mileage had to be estimated because part of district not shown on map.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"2. Mean Distance Between Randomly Selected Pairs of Points Within the Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"The data array below is intended to simulate the roughly 6 mile x 1.4 mile Manhattan Central Business District. (Note that the implied area, 8.4 square miles, matches the published figure of 8.5 square miles.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,{"$f":"CONCATENATE(\"Each cell in the array returns the mean distance from that cell to a randomly selected cell in the array (including the instant cell). The figure in Row \",O223, \", the mean of the cell values, is a reasonable approximation of the travel distance between any two randomly selected points.\")","v":"Each cell in the array returns the mean distance from that cell to a randomly selected cell in the array (including the instant cell). The figure in Row 223, the mean of the cell values, is a reasonable approximation of the travel distance between any two randomly selected points."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Note that a more fine-grained treatment, particularly of latitude distances, would presumably increase the calculated mean slightly by attenuating the weighting contributed by zero-distance cells. Unfortunately (and bizarrely), Excel did not permit more than ~ 30 absolute-value calculations to be averaged within a single cell, requiring us to use a more \"gross\" approach.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Vertical (latitude) distances, miles","Horizontal (longitude) distances, miles",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,0,0.2,0.4,0.6,0.8,1,1.2,1.4,null,null,null,null,{"$f":"ROW()","v":204}]
[null,6,{"$f":"AVERAGE(ABS($B205-$B$205),ABS($B205-$B$206),ABS($B205-$B$207),ABS($B205-$B$208),ABS($B205-$B$209),ABS($B205-$B$210),ABS($B205-$B$211),ABS($B205-$B$212),ABS($B205-$B$213),ABS($B205-$B$214),ABS($B205-$B$215),ABS($B205-$B$216),ABS($B205-$B$217),ABS($B205-$B$218),ABS($B205-$B$219),ABS($B205-$B$220))+AVERAGE(ABS(C$204-$C$204),ABS(C$204-$D$204),ABS(C$204-$E$204),ABS(C$204-$F$204),ABS(C$204-$G$204),ABS(C$204-$H$204),ABS(C$204-$I$204),ABS(C$204-$J$204))","v":3.7},3.55,3.45,3.4,3.4,3.45,3.55,3.6999999999999997,null,null,null,null,{"$f":"ROW()","v":205}]
[null,5.6,3.3499999999999996,3.2,3.1,3.05,3.05,3.1,3.2,3.3499999999999996,null,null,null,null,{"$f":"ROW()","v":206}]
[null,5.2,3.05,2.9000000000000004,2.8000000000000003,2.75,2.75,2.8000000000000003,2.9000000000000004,3.05,null,null,null,null,{"$f":"ROW()","v":207}]
[null,4.8,2.8,2.6499999999999995,2.5499999999999998,2.4999999999999996,2.4999999999999996,2.5499999999999998,2.6499999999999995,2.7999999999999994,null,null,null,null,{"$f":"ROW()","v":208}]
[null,4.4000000000000004,2.6000000000000005,2.4500000000000002,2.3500000000000005,2.3000000000000003,2.3000000000000003,2.3500000000000005,2.4500000000000002,2.6,null,null,null,null,{"$f":"ROW()","v":209}]
[null,4,2.4500000000000002,2.2999999999999998,2.2000000000000002,2.15,2.15,2.2000000000000002,2.2999999999999998,2.4499999999999997,null,null,null,null,{"$f":"ROW()","v":210}]
[null,3.6,2.35,2.2000000000000002,2.1,2.0500000000000003,2.0500000000000003,2.1,2.2000000000000002,2.35,null,null,null,null,{"$f":"ROW()","v":211}]
[null,3.2,2.2999999999999998,2.1500000000000004,2.0500000000000003,2,2,2.0500000000000003,2.1500000000000004,2.2999999999999998,null,null,null,null,{"$f":"ROW()","v":212}]
[null,2.8,2.2999999999999998,2.1500000000000004,2.0500000000000003,2,2,2.0500000000000003,2.1500000000000004,2.2999999999999998,null,null,null,null,{"$f":"ROW()","v":213}]
[null,2.4,2.3499999999999996,2.2000000000000002,2.1,2.0499999999999998,2.0499999999999998,2.1,2.2000000000000002,2.3499999999999996,null,null,null,null,{"$f":"ROW()","v":214}]
[null,2,{"$f":"AVERAGE(ABS($B215-$B$205),ABS($B215-$B$206),ABS($B215-$B$207),ABS($B215-$B$208),ABS($B215-$B$209),ABS($B215-$B$210),ABS($B215-$B$211),ABS($B215-$B$212),ABS($B215-$B$213),ABS($B215-$B$214),ABS($B215-$B$215),ABS($B215-$B$216),ABS($B215-$B$217),ABS($B215-$B$218),ABS($B215-$B$219),ABS($B215-$B$220))+AVERAGE(ABS(C$204-$C$204),ABS(C$204-$D$204),ABS(C$204-$E$204),ABS(C$204-$F$204),ABS(C$204-$G$204),ABS(C$204-$H$204),ABS(C$204-$I$204),ABS(C$204-$J$204))","v":2.4500000000000002},2.2999999999999998,2.2000000000000002,2.15,2.15,2.2000000000000002,2.2999999999999998,2.4499999999999997,null,null,null,null,{"$f":"ROW()","v":215}]
[null,1.6,2.5999999999999996,2.4500000000000002,2.35,2.2999999999999998,2.2999999999999998,2.35,2.4500000000000002,2.5999999999999996,null,null,null,null,{"$f":"ROW()","v":216}]
[null,1.2,2.8,2.6499999999999995,2.5499999999999998,2.4999999999999996,2.4999999999999996,2.5499999999999998,2.6499999999999995,2.7999999999999994,null,null,null,null,{"$f":"ROW()","v":217}]
[null,0.8,3.05,2.8999999999999995,2.8,2.7499999999999996,2.7499999999999996,2.8,2.8999999999999995,3.0499999999999994,null,null,null,null,{"$f":"ROW()","v":218}]
[null,0.4,3.3499999999999996,3.1999999999999993,3.0999999999999996,3.0499999999999994,3.0499999999999994,3.0999999999999996,3.1999999999999993,3.3499999999999992,null,null,null,null,{"$f":"ROW()","v":219}]
[null,0,3.7,3.55,3.45,3.4,3.4,3.45,3.55,3.6999999999999997,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Average of all \",(O19-O4)*(J204/0.2+1), \" data points in the \",O19-O4,\" by \",J204/0.2+1, \" array:\")","v":"Average of all 120 data points in the 15 by 8 array:"},{"$f":"AVERAGE(C205:J220)","v":2.6500000000000004},null,null,null,null,{"$f":"ROW()","v":223}]

{"sheet":"Approaches","index":20,"n_rows":271,"n_cols":38,"rows_kept":271,"cut":false,"hidden":false,"merged":[[164,24,165,24],[4,1,5,9],[7,1,9,9],[13,1,13,9],[14,7,21,12],[14,1,14,5],[16,4,18,4],[15,5,18,5],[55,9,57,9],[39,1,41,9],[46,1,50,9],[52,1,53,9],[27,5,27,11],[55,4,57,4],[55,7,57,7],[11,1,12,9],[23,1,24,10],[55,2,57,2],[55,3,57,3],[34,1,35,13],[43,1,44,9],[55,8,57,8],[164,23,165,23],[109,5,109,11],[27,16,27,22],[174,21,175,21],[174,22,175,22],[81,1,82,6],[164,12,165,12],[174,10,175,10],[174,11,175,11],[103,7,104,7],[103,8,104,8],[103,9,104,9],[99,1,102,9],[87,4,92,5],[85,7,86,7],[141,10,141,11],[144,7,157,7],[144,9,157,9],[142,6,143,7],[142,8,143,9],[142,10,143,11],[144,11,157,11],[141,6,141,7],[141,8,141,9],[173,5,173,11],[173,16,173,22],[167,1,168,12],[174,9,175,9],[174,20,175,20],[163,5,163,11],[55,5,57,5],[140,6,140,13],[163,16,163,22],[81,7,82,7],[164,13,165,13],[109,16,109,22],[55,6,57,6],[141,12,141,13],[142,12,143,13],[144,13,157,13],[128,1,130,11],[132,1,134,11],[136,1,139,11],[174,24,175,24],[200,4,200,7],[200,15,200,18],[199,13,200,13],[199,21,200,21],[199,22,200,22],[197,8,197,13],[197,19,197,24],[199,20,200,20],[199,9,200,9],[174,13,175,13],[263,1,270,3],[255,7,256,7],[255,9,256,9],[255,10,256,10],[255,11,256,11],[264,11,265,11],[264,12,265,12],[264,13,265,13],[263,6,263,13],[264,6,265,6],[264,7,265,7],[264,8,265,8],[264,9,265,9],[264,10,265,10],[187,32,189,35],[185,32,186,35],[181,35,183,36],[180,37,185,37],[183,29,184,34],[180,26,181,34],[203,4,205,7],[203,15,205,18],[255,12,256,12],[255,13,256,13],[199,24,200,24],[199,10,200,10],[199,11,200,11],[182,1,184,12],[201,4,201,7],[212,15,213,17],[239,1,241,11],[235,7,236,7],[235,9,236,9],[235,11,236,11],[235,12,236,12],[235,10,236,10],[235,13,236,13],[228,1,229,6]]}
[null,"Approaches",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW(P1)","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW(P2)","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,4]
[null,"This worksheet examines traffic data for the \"approaches\" to the CBD -- the highways and bridges that lead from trip origins to the portals of the CBD (and vice-versa, for the return trips).",null,null,null,null,null,null,null,null,null,null,null,null,5]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,6]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,7]
[null,{"$f":"CONCATENATE(\"Its original purpose was to estimate a key parameter in 'Motor Vs' (and Motor Vs Weekends) worksheet (in Row \",'Motor Vs'!O178, \" of both worksheets): the share of traffic on CBD-bound roads that is accounted for by CBD-bound trips. This result is shown in the box at left directly below, in Row \", O22, \".\")","v":"Its original purpose was to estimate a key parameter in 'Motor Vs' (and Motor Vs Weekends) worksheet (in Row 178 of both worksheets): the share of traffic on CBD-bound roads that is accounted for by CBD-bound trips. This result is shown in the box at left directly below, in Row 22."},null,null,null,null,null,null,null,null,null,null,null,null,8]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,9]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,10]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,11]
[null,"It has since been expanded to calculate other results, including VMT changes in neighborhoods that funnel traffic into the CBD and receive the outflow (Section E), and % change in entry/egress via the various CBD portals (Section F).",null,null,null,null,null,null,null,null,null,null,null,null,12]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,13]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,14]
[null,"Summary of Analysis and Calculations in this Worksheet",null,null,null,null,null,"Metholodogy: CBD-bound trips are considered in two segments. The first extends from trip origins to the beginning of final \"portal\" (bridge or tunnel) into the CBD. The second is the portal itself. For each segment, we estimate the share of all vehicles on the road that are ultimately bound for the CBD. We then weight that percentage by the segment's portion of total trip distance. The sum of weighted percentages is the estimated percent of traffic on CBD-bound roads that actually goes to the CBD.",null,null,null,null,null,null,15]
[null,null,null,null,null,"% of vehicles on road that are going to CBD ",null,null,null,null,null,null,null,null,16]
[null,null,null,null,"% of non-CBD trip distance",null,null,null,null,null,null,null,null,null,17]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,18]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,19]
[null,"1. Non-portal, non-CBD trip segment",null,null,{"$f":"1-E21","v":0.94231317452051577},{"$f":"H82*J75","v":0.30063293967686783},null,null,null,null,null,null,null,null,20]
[null,"2. Portals to CBD",null,null,{"$f":"G98","v":5.7686825479484172E-2},1,null,null,null,null,null,null,null,null,21]
[null,"Total (wghtd avg of 1 and 2)",null,null,null,{"$f":"SUMPRODUCT(E20:E21,F20:F21)","v":0.34097720523182823},null,null,null,null,null,null,null,null,22]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,23]
[null,{"$f":"CONCATENATE(\"Percent of non-CBD trip distance for portals is calculated in Row \",O98, \". Percent for non-portals is its complement.\nPercent of vehicles in non-portal, non-CBD segments that are going to CBD is product of highlighted-boxed figures in Rows \",O75, \" and \",O82, \".\")","v":"Percent of non-CBD trip distance for portals is calculated in Row 98. Percent for non-portals is its complement.\nPercent of vehicles in non-portal, non-CBD segments that are going to CBD is product of highlighted-boxed figures in Rows 75 and 82."},null,null,null,null,null,null,null,null,null,null,null,null,24]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,25]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,26]
[null,"A. Baseline Data on CBD-bound Trip Volumes and Distances",null,null,null,null,null,null,null,null,null,null,null,null,27]
[null,null,null,null,null,"W   E   E   K   D   A   Y   S",null,null,null,null,null,null,null,null,28,null,"W   E   E   K   E   N   D   S"]
[null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft",null,null,29,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,30]
[null,"1.Daily motor vehicle trips into cordon, rounded",null,null,null,{"$f":"'Motor Vs'!H85","v":613400},{"$f":"'Motor Vs'!I85","v":225700},{"$f":"'Motor Vs'!J85","v":158700},{"$f":"'Motor Vs'!K85","v":100500},{"$f":"'Motor Vs'!L85","v":32900},{"$f":"'Motor Vs'!M85","v":40700},{"$f":"'Motor Vs'!N85","v":54900},null,null,31,"Trips",{"$f":"'Motor Vs Weekends'!H85","v":521400},{"$f":"'Motor Vs Weekends'!I85","v":79800},{"$f":"'Motor Vs Weekends'!J85","v":239300},{"$f":"'Motor Vs Weekends'!K85","v":102000},{"$f":"'Motor Vs Weekends'!L85","v":30300},{"$f":"'Motor Vs Weekends'!M85","v":16200},{"$f":"'Motor Vs Weekends'!N85","v":53800}]
[null,"2. Total distance (one way)",null,null,null,null,{"$f":"'Motor Vs'!I101","v":18.10690937641937},{"$f":"'Motor Vs'!J101","v":18.10690937641937},{"$f":"'Motor Vs'!K101","v":26.885364064629059},{"$f":"'Motor Vs'!L101","v":7.5},{"$f":"'Motor Vs'!M101","v":18.548220939020325},{"$f":"'Motor Vs'!N101","v":7.5},null,null,32,"1-way miles",null,{"$f":"'Motor Vs Weekends'!I101","v":18.35690937641937},{"$f":"'Motor Vs Weekends'!J101","v":18.35690937641937},{"$f":"'Motor Vs Weekends'!K101","v":26.685364064629056},{"$f":"'Motor Vs Weekends'!L101","v":7.5},{"$f":"'Motor Vs Weekends'!M101","v":18.75769841083202},{"$f":"'Motor Vs Weekends'!N101","v":7.5}]
[null,"3. CBD miles included in that distance",null,null,null,null,{"$f":"'Motor Vs'!I99","v":1.25},{"$f":"'Motor Vs'!J99","v":1.25},{"$f":"'Motor Vs'!K99","v":1.6},{"$f":"'Motor Vs'!L99","v":1.5},{"$f":"'Motor Vs'!M99","v":3},{"$f":"'Motor Vs'!N99","v":1.5},null,null,33,"CBD ",null,{"$f":"'Motor Vs Weekends'!I99","v":1.5},{"$f":"'Motor Vs Weekends'!J99","v":1.5},{"$f":"'Motor Vs Weekends'!K99","v":1.4000000000000001},{"$f":"'Motor Vs Weekends'!L99","v":1.5},{"$f":"'Motor Vs Weekends'!M99","v":3},{"$f":"'Motor Vs Weekends'!N99","v":1.5}]
[null,"4. Non-CBD miles included in that distance",null,null,null,{"$f":"SUMPRODUCT(G31:L31,G34:L34)/F31","v":16.596980184233704},{"$f":"G32-G33","v":16.85690937641937},16.85690937641937,25.285364064629057,6,15.548220939020325,6,null,null,34,"Non-CBD",{"$f":"SUMPRODUCT(R31:W31,R34:W34)/Q31","v":16.720409725475765},{"$f":"R32-R33","v":16.85690937641937},16.85690937641937,25.285364064629057,6,15.75769841083202,6]
[null,{"$f":"CONCATENATE(\"First three rows are taken directly from 'Motor Vs' worksheet, Rows \",'Motor Vs'!O85, \", \",'Motor Vs'!O101, \", and \",'Motor Vs'!O99, \". Fourth row subtracts third from second. Total here is less than total CBD entries of \",ROUND('Hub-Bound'!E86/1000,0),\",000 shown in 'Hub-Bound' tab, Row \",'Hub-Bound'!R35, \", because figure here counts two entries from CBD-crossing thru-trips just once.\")","v":"First three rows are taken directly from 'Motor Vs' worksheet, Rows 85, 101, and 99. Fourth row subtracts third from second. Total here is less than total CBD entries of 709,000 shown in 'Hub-Bound' tab, Row 35, because figure here counts two entries from CBD-crossing thru-trips just once."},null,null,null,null,null,null,null,null,null,null,null,null,35,{"$f":"CONCATENATE(\"Note from Cell B\",O35, \" applies here.\")","v":"Note from Cell B35 applies here."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,36]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,37]
[null,"B. Trip Segments from Origins to Beginning of CBD Portals",null,null,null,null,null,null,null,null,null,null,null,null,38]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,39]
[null,"Metholodogy: Consider, as an example, a trip from Brooklyn's Canarsie neighborhood to lower Manhattan. Leaving aside the CBD portion of the trip, the \"approach\" can be segmented into the roughly 7-mile portion from Canarsie to the start of the Manhattan Bridge, and the 1.4-mile journey on the bridge itself. ",null,null,null,null,null,null,null,null,null,null,null,null,40]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,41]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,42]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,43]
[null,"Bridge portion is estimated in Part C. Here, for longer section from trip origin to bridge entrance, we calculate, for each borough or county, the percentage of commute trips by auto that culminate in the CBD. This is done in table directly below.",null,null,null,null,null,null,null,null,null,null,null,null,44]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,45]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,46]
[null,"The percentages are then averaged, weighted by the number of vehicles in the respective borough or county. The weighted average must then be adjusted. A downward adjustment is warranted because the percentage of all trips going to the CBD is almost certainly less than the commute percentages shown here. At the same time, however, most CBD bound trips presumably are on roads on which disproportionately more vehicles are going to the CBD. We suspect that the resulting upward adjustment would swamp the downward one.",null,null,null,null,null,null,null,null,null,null,null,null,47]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,48]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,49]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,50]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,51]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,52]
[null,"As a final note, the table below, which was developed and generously provided by the Tri-State Transportation Campaign, includes only New York State and thus excludes NJ and CT. ",null,null,null,null,null,null,null,null,null,null,null,null,53]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,54]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,55]
[null,null,"Drove Alone to CBD","Carpool to CBD","Vehicles to CBD","Drove Alone Outside of CBD","Carpool Outside of CBD","Vehicles Outside of CBD","Total Vehicles ","% of Veh's that Enter CBD",null,null,null,null,56]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,57]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,58]
[null,"The Bronx",12711.9735109619,4726.5479351139802,{"$f":"C59+D59/$H$80","v":14860.404390559162},99445.907341144106,34000.139108925519,{"$f":"F59+G59/$H$80","v":114900.51602701934},{"$f":"E59+H59","v":129760.92041757851},{"$f":"E59/I59","v":0.1145214163304135},null,null,null,null,59]
[null,"Brooklyn",22229.687356227001,11112.67879706947,{"$f":"C60+D60/$H$80","v":27280.904991258576},179834.93298321302,61115.552676776832,{"$f":"F60+G60/$H$80","v":207614.7296544752},{"$f":"E60+H60","v":234895.63464573378},0.11614053633820502,null,null,null,null,60]
[null,"Queens",35865.199340623803,15322.12103916112,{"$f":"C61+D61/$H$80","v":42829.799812969766},283306.41120796918,80002.387720339364,{"$f":"F61+G61/$H$80","v":319671.13289903256},{"$f":"E61+H61","v":362500.93271200231},0.11815086789582675,null,null,null,null,61]
[null,"Richmond",11109.441292182901,4120.9563227891103,{"$f":"C62+D62/$H$80","v":12982.603257087041},92743.929189312097,18961.878148509633,{"$f":"F62+G62/$H$80","v":101362.96471136193},{"$f":"E62+H62","v":114345.56796844897},0.11353831624387306,null,null,null,null,62]
[null,"Manhattan",9691.5821360202099,5418.873364494777,{"$f":"C63+D63/$H$80","v":12154.706392608745},47455.716524985008,20182.869518354411,{"$f":"F63+G63/$H$80","v":56629.748124237012},{"$f":"E63+H63","v":68784.454516845755},0.17670717138030045,null,null,null,null,63]
[null,"5 Boroughs",{"$f":"SUM(C59:C63)","v":91607.883636015817},40701.177458628459,110108.4188444833,702786.89724662353,214262.82717290576,800179.09141612612,910287.51026060933,0.12096004570353819,null,null,null,null,64]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,65]
[null,"Nassau",17652.762706827401,4367.0302637217928,{"$f":"C66+D66/$H$80","v":19637.77646306458},412106.45086869458,48744.963086117707,{"$f":"F66+G66/$H$80","v":434263.25227147533},{"$f":"E66+H66","v":453901.02873453993},{"$f":"E66/I66","v":4.3264445815013923E-2},null,null,null,null,66]
[null,"Putnam",997.01171206773404,202.004492362983,{"$f":"C67+D67/$H$80","v":1088.8319358690899},37105.514611008672,3742.0960522272926,{"$f":"F67+G67/$H$80","v":38806.467362021074},{"$f":"E67+H67","v":39895.299297890168},2.7292236304307459E-2,null,null,null,null,67]
[null,"Rockland",5791.84611928705,1791.0402123886099,{"$f":"C68+D68/$H$80","v":6605.9553067364177},91755.321244094157,12825.779579616608,{"$f":"F68+G68/$H$80","v":97585.221053010799},{"$f":"E68+H68","v":104191.17635974722},6.3402252834996634E-2,null,null,null,null,68]
[null,"Suffolk",7805.3665251290804,2252.008774082939,{"$f":"C69+D69/$H$80","v":8829.0068769849622},515704.88521001692,64656.072998170355,{"$f":"F69+G69/$H$80","v":545094.00930009433},{"$f":"E69+H69","v":553923.01617707929},1.5939050407976704E-2,null,null,null,null,69]
[null,"Westchester",11736.4475770644,2827.9522102129899,{"$f":"C70+D70/$H$80","v":13021.880399888487},249988.45257516962,37554.666384933211,{"$f":"F70+G70/$H$80","v":267058.75547741196},{"$f":"E70+H70","v":280080.63587730046},4.6493326320471498E-2,null,null,null,null,70]
[null,"5 Counties",{"$f":"SUM(C66:C70)","v":43983.434640375664},11440.035952769314,49183.450982543538,1306660.6245089839,167523.57810106518,1382807.7054640136,1431991.156446557,3.4346197433642534E-2,null,null,null,null,71]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW(P72)","v":72}]
[null,"5 + 5 ",{"$f":"C64+C71","v":135591.31827639148},52141.213411397774,159291.86982702685,2009447.5217556073,381786.40527397092,2182986.79688014,2342278.6667071665,{"$f":"E73/I73","v":6.800722394443498E-2},null,null,null,null,73]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,74]
[null,"5 + 5 if include NJ, CT, upstate NY at same % as the 5 Counties and 1/2 their weight",null,null,null,null,null,null,null,{"$f":"(E73+0.5*E71)/(I73+0.5*I71)","v":6.0126587935373565E-2},null,null,null,null,75]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of (i) sum of Row \",O73, \" Vehicles to CBD plus half of same in Row \",O71, \" to (ii) same for Total Vehicles.\")","v":"Calculated as ratio of (i) sum of Row 73 Vehicles to CBD plus half of same in Row 71 to (ii) same for Total Vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,76]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,77]
[null,"Source: TSTC Analysis of 2000 Census Transportation Planning Package",null,null,null,null,null,null,null,null,null,null,null,null,78]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,79]
[null,"Carpool factor (persons per carpool vehicle) assumed abve:",null,null,null,null,null,2.2000000000000002,null,null,null,null,null,null,80]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,81]
[null,"Adjustment to correct vehicle percentage shown so as to reflect CBD/non-CBD split on roads on which CBD-bound vehicles travel:",null,null,null,null,null,5,null,null,null,null,null,null,82]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,83]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,84]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,85]
[null,"C. Distances of CBD Portals (miles)",null,null,null,null,null,"Daily Volume",null,null,null,null,null,null,86]
[null,null,null,null,null,null,"Miles",null,null,null,null,null,null,null,87]
[null,"Williamsburg Bridge",null,null,"This table establishes the weighted average of trip distances outside the CBD that is via portals all of whose traffic is bound for the CBD.",null,2,{"$f":"'Hub-Bound'!E74","v":50294},{"$f":"H88/$H$97","v":7.0889137586437279E-2},null,null,null,null,null,88]
[null,"Manhattan Bridge",null,null,null,null,1.3,{"$f":"'Hub-Bound'!E75","v":41724},5.8809766108412709E-2,null,null,null,null,null,89]
[null,"Brooklyn Bridge",null,null,null,null,1.2,{"$f":"'Hub-Bound'!E76","v":64429},9.0812348303109067E-2,null,null,null,null,null,90]
[null,"Brooklyn-Battery Tunnel",null,null,null,null,2,{"$f":"'Hub-Bound'!E83","v":29025},4.091059009914387E-2,null,null,null,null,null,91]
[null,"Queens Midtown Tunnel",null,null,null,null,1.5,{"$f":"'Hub-Bound'!E82","v":46002},6.4839585382973866E-2,null,null,null,null,null,92]
[null,"Queensboro Bridge",null,null,null,null,1.8,{"$f":"'Hub-Bound'!E77","v":77649},0.10944587116652618,null,null,null,null,null,93]
[null,"Lincoln Tunnel",null,null,null,null,{"$f":"AVERAGE(7482,8216,8006)/5280","v":1.4964646464646465},{"$f":"'Hub-Bound'!E68","v":54870},7.7338986347632185E-2,null,null,null,null,null,94]
[null,"Holland Tunnel",null,null,null,null,{"$f":"AVERAGE(8371,8558)/5280","v":1.6031249999999999},{"$f":"'Hub-Bound'!E67","v":42342},5.9680833969955209E-2,null,{"$f":"SUM(I94:I95)/(I97-SUM(I94:I95))","v":0.15877516488039434},"NJ vs. all other portals",null,null,95]
[null,"All Northern approaches (i.e., 60th Street)",null,null,null,null,0.1,{"$f":"'Hub-Bound'!E62","v":303139},0.42727288103580963,null,null,null,null,null,96]
[null,"T O T A L",null,null,null,null,{"$f":"SUMPRODUCT(G88:G96,H88:H96)/H97","v":0.95742709937434678},{"$f":"SUM(H88:H96)","v":709474},1,null,null,null,null,null,97]
[null,"Percent of wghtd average non-CBD trip distance",null,null,null,null,{"$f":"G97/F34","v":5.7686825479484172E-2},null,null,null,null,null,null,null,98]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,99]
[null,"Miles: First six are from Komanoff analysis in 2003 report, \"The Hours: Time Savings from East River Bridge Tolls.\" Holland Tunnel averages north and south tube lengths provided in PANYNJ fact sheet available at http://www.panynj.gov/commutingtravel/tunnels/html/holland.html. Lincoln Tunnel averages three tube lengths provided in PANYNJ fact sheet available at http://www.panynj.gov/commutingtravel/tunnels/html/lincoln.html. Last is Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,100]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,101]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,102]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,103]
[null,"Volumes: All data are taken directly from Hub-Bound worksheet.",null,null,null,null,null,"Daily Volume","% Continue to CBD","Daily Vol.\nto CBD",null,null,null,null,104]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,105]
[null,"George Washington Bridge",null,null,null,null,null,139548,{"$f":"Revenues!E161","v":0.06},{"$f":"I106*H106","v":8372.8799999999992},null,null,null,null,106]
[null,{"$f":"CONCATENATE(\"Daily volume is from NYCDOT, '2015, Manhattan River Crossings.' % continuing to CBD is from 'Revenues' worksheet, Row \",Revenues!R161, \".\")","v":"Daily volume is from NYCDOT, '2015, Manhattan River Crossings.' % continuing to CBD is from 'Revenues' worksheet, Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,107]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,108]
[null,"D. Changes in VMT on Approach Roads, due to Pricing",null,null,null,null,null,null,null,null,null,null,null,null,109]
[null,null,null,null,null,"W   E   E   K   D   A   Y   S",null,null,null,null,null,null,null,null,110,null,"W   E   E   K   E   N   D   S"]
[null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft",null,null,111,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,112]
[null,"Daily m.v. trips into cordon, before",null,null,null,{"$f":"SUM(G113:L113)","v":613400},{"$f":"G31","v":225700},158700,100500,32900,40700,54900,null,null,113]
[null,"From Motor Vs worksheet (repeated here in Part A)",null,null,null,null,null,null,null,null,null,null,null,null,114]
[null,"Non-CBD miles in these trips",null,null,null,null,{"$f":"G34","v":16.85690937641937},16.85690937641937,25.285364064629057,6,15.548220939020325,6,null,null,115]
[null,"From Motor Vs worksheet (repeated here in Part A)",null,null,null,null,null,null,null,null,null,null,null,null,116]
[null,"Daily m.v. trips into cordon, after",null,null,null,{"$f":"SUM(G117:L117)","v":534155.36135712976},{"$f":"'Motor Vs'!W933","v":171325.6392049194},{"$f":"'Motor Vs'!AF933","v":141844.74156519983},{"$f":"'Motor Vs'!AO933","v":79073.027439417769},{"$f":"'Motor Vs'!AX933","v":36892.383966688525},{"$f":"'Motor Vs'!BG933","v":40044.310944643512},{"$f":"'Motor Vs'!BP933","v":64975.258236260677},null,null,117,null,{"$f":"SUM(R117:W117)","v":481703.53433179064},{"$f":"'Motor Vs Weekends'!W933","v":74267.357151931879},{"$f":"'Motor Vs Weekends'!AF933","v":209162.72600244018},{"$f":"'Motor Vs Weekends'!AO933","v":89841.636554156838},{"$f":"'Motor Vs Weekends'!AX933","v":33794.156990015283},{"$f":"'Motor Vs Weekends'!BG933","v":15857.109387045588},{"$f":"'Motor Vs Weekends'!BP933","v":58780.54824620056}]
[null,{"$f":"CONCATENATE(\"From Motor Vs worksheet, Row \",'Motor Vs'!O933,)","v":"From Motor Vs worksheet, Row 933"},null,null,null,null,null,null,null,null,null,null,null,null,118]
[null,"Daily VMT from m.v. trips to cordon, before",null,null,null,{"$f":"SUM(G119:L119)","v":20361175.290017907},{"$f":"2*G113*G$115","v":7609208.892515704},5350383.0360755082,5082358.1769904401,394800,1265625.1844362544,658800,null,null,119]
[null,"Daily VMT from m.v. trips to cordon, after",null,null,null,{"$f":"SUM(G120:L120)","v":17024597.323309142},{"$f":"2*G117*G$115","v":5776041.5478688953},4782127.9081723988,3998780.5729961628,442708.60760026227,1245235.587836294,779703.09883512813,null,null,120]
[null,"Each figure is daily trips x non-CBD miles, doubled (to capture outbound as well as inbound legs).",null,null,null,null,null,null,null,null,null,null,null,null,121]
[null,"Change",null,null,null,{"$f":"F120-F119","v":-3336577.9667087644},-1833167.3446468087,-568255.12790310942,-1083577.6039942773,47908.607600262272,-20389.596599960467,120903.09883512813,null,null,122]
[null,"% Change for CBD-bound trips",null,null,null,{"$f":"F122/F119","v":-0.16386961553955709},-0.24091431455507586,-0.10620830771770745,-0.21320370707046993,0.12134905673825297,-1.6110296200405157E-2,0.18352018645283566,null,null,123]
[null,"% Change for all trips on these roads",null,null,null,{"$f":"F123*F22","v":-5.5875803529092348E-2},null,null,null,null,null,null,null,null,124]
[null,{"$f":"CONCATENATE(\"Calculated as % change for CBD-bound trips in Row \",O123, \", multiplied by CBD-bound trips' share of traffic in Row \",O22, \".\")","v":"Calculated as % change for CBD-bound trips in Row 123, multiplied by CBD-bound trips' share of traffic in Row 22."},null,null,null,null,null,null,null,null,null,null,null,null,125]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,126]
[null,"E. Change in VMT and Traffic Speeds in Selected Neighborhoods That Act as 'Funnels' to the CBD",null,null,null,null,null,null,null,null,null,null,null,null,127]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,128]
[null,"The BTA does not have the capability to estimate changes in traffic levels in individual districts or counties beyond the Manhattan CBD or for NYC as a whole. To estimate VMT (vehicle miles traveled) changes in particular areas, we drew on data from the Jan. 31, 2008 Final Report of the Traffic Congestion Mitigation Commission (TCMC), which estimated VMT changes for the districts shown below (including the CBD and all of NYC).",null,null,null,null,null,null,null,null,null,null,null,null,129]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,130]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,131]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,132]
[null,"As can be seen in Column Group 1, the TCMC estimated that its \"alternative\" pricing plan (the one presented to, but not enacted by, the NY State Legislature in 2008) would reduce VMT by 6.4% in the CBD and by 2.1% for all five boroughs combined. That roughly 3-to-1 ratio is somewhat different from the corresponding ratio produced by the BTA.",null,null,null,null,null,null,null,null,null,null,null,null,133]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,134]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,135]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,136]
[null,"We therefore prorated our results by the TCMC's in two ways: by the TCMC estimate of changed VMT within the CBD, shown in Group 2; and by its estimate of changed VMT for NYC as a whole, shown in Group 3. We then average the results in Group 4. We believe that the VMT changes shown in Column Group 4 are reasonable estimates for the changes in VMT that may be expected in the districts shown, as a result of the pricing plan chosen in the 'Results' worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,137]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,138]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,139]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,140]
[null,null,null,null,null,null,"Note: Figures in array below are predicted VMT reductions, i.e., not travel-speed increases.",null,null,null,null,null,null,null,141]
[null,"Estimated VMT Reductions by Sub-region",null,null,null,null,1,null,2,null,3,null,4,null,142]
[null,"(Column Group 1 figs are from TCMC Report, Table 14, p. 41 (62 of 94)",null,null,null,null,"Bloomberg Plan, modified by TCMC",null,"Plan Selected by User\n(%'s prorated from CBD)",null,"Plan Selected by User\n(%'s prorated from NYC)",null,"Plan Selected by User\n(%'s average #2 and #3)",null,143]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,144]
[null,"Manhattan CBD (South of 60th St)",null,null,null,null,6.4000000000000001E-2,"Figures at left are from Interim Report to the Traffic Congestion Mitigation Commis-sion, January 2008, Table 14 (p. 62 of 94), Col. 2, \"Alternative Congestion Pricing Plan\")",{"$f":"-Results!H122","v":6.3871587999431156E-2},{"$f":"CONCATENATE(\"Bold figure at top to left is from 'Results' tab, Row \",Results!N122, \", and was derived in 'Motor Vs.' Other fig's are prorated from that figure and those in other column.\")","v":"Bold figure at top to left is from 'Results' tab, Row 122, and was derived in 'Motor Vs.' Other fig's are prorated from that figure and those in other column."},{"$f":"$K$157/$G$157*G145","v":9.8436956461878528E-2},{"$f":"CONCATENATE(\"Bold figure near bottom of column is from 'VMT' tab, Row \",VMT!O21, \". Other figures, including for CBD at top, are prorated from that figure and those in other column.\")","v":"Bold figure near bottom of column is from 'VMT' tab, Row 21. Other figures, including for CBD at top, are prorated from that figure and those in other column."},{"$f":"AVERAGE(I145,K145)","v":8.1154272230654842E-2},{"$f":"CONCATENATE(\"Each figure is average of corres-ponding figures in Column Groups 2 and 3. Please do not use figures in Rows \",O145,\" or \",O157, \". Use boxed figs in Groups 2 & 3 instead.\")","v":"Each figure is average of corres-ponding figures in Column Groups 2 and 3. Please do not use figures in Rows 145 or 157. Use boxed figs in Groups 2 & 3 instead."},145]
[null,"Manhattan north of 86th St",null,null,null,null,3.7999999999999999E-2,null,{"$f":"$I$145/$G$145*G146","v":3.7923755374662249E-2},null,5.8446942899240371E-2,null,4.8185349136951314E-2,null,146]
[null,"Bronx",null,null,null,null,1.2999999999999999E-2,null,1.2973916312384454E-2,null,1.9995006781319075E-2,null,1.6484461546851764E-2,null,147]
[null,"Northwest Brooklyn*",null,null,null,null,4.7E-2,null,4.6905697437082255E-2,null,7.2289639901692043E-2,null,5.9597668669387149E-2,null,{"$f":"ROW(P148)","v":148}]
[null,"Rest of Brooklyn",null,null,null,null,1.0999999999999999E-2,null,1.097792918740223E-2,null,1.691885189188537E-2,null,1.39483905396438E-2,null,149]
[null,"Western Queens**",null,null,null,null,6.0999999999999999E-2,null,6.0877607311957821E-2,null,9.3822724127727963E-2,null,7.7350165719842892E-2,null,150]
[null,"Rest of Queens",null,null,null,null,8.9999999999999993E-3,null,8.9819420624200064E-3,null,1.3842697002451667E-2,null,1.1412319532435836E-2,null,151]
[null,"Staten Island",null,null,null,null,0.01,null,9.9799356249111182E-3,null,1.5380774447168519E-2,null,1.2680355036039818E-2,null,152]
[null,"Long Island",null,null,null,null,3.0000000000000001E-3,null,2.9939806874733355E-3,null,4.6142323341505555E-3,null,3.8041065108119455E-3,null,153]
[null,"New Jersey",null,null,null,null,3.0000000000000001E-3,null,2.9939806874733355E-3,null,4.6142323341505555E-3,null,3.8041065108119455E-3,null,154]
[null,"Orange & Rockland",null,null,null,null,4.0000000000000001E-3,null,3.9919742499644473E-3,null,6.152309778867408E-3,null,5.0721420144159276E-3,null,155]
[null,"East of Hudson (CT, Dutchess, Putnam, Westchester)",null,null,null,null,2E-3,null,1.9959871249822236E-3,null,3.076154889433704E-3,null,2.5360710072079638E-3,null,156]
[null,"NYC",null,null,null,null,2.1000000000000001E-2,null,2.0957864812313348E-2,null,{"$f":"-VMT!I21","v":3.2299626339053977E-2},null,2.6628745575683663E-2,null,157]
[null,"Outside NYC",null,null,null,null,3.0000000000000001E-3,null,2.9939806874733355E-3,null,{"$f":"$I$145/$G$145*I158","v":2.9879734523211021E-3},null,2.9909770698972188E-3,null,158]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,159]
[null,"*Northwest Brooklyn includes: Park Slope, Carroll Gardens, Boerum Hill, Red Hook, Downtown Brooklyn, Williamsburg, Greenpoint and Bushwick.",null,null,null,null,null,null,null,null,null,null,null,null,160]
[null,"**Western Queens includes: Long Island City, Astoria and Sunnyside.",null,null,null,null,null,null,null,null,null,null,null,null,161]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,162]
[null,"F. Change in Vehicle Entries at Each Portal to the CBD",null,null,null,null,null,null,null,null,null,null,null,null,163]
[null,null,null,null,null,"W   E   E   K   D   A   Y   S",null,null,null,null,null,null,null,null,164,null,"W   E   E   K   E   N   D   S"]
[null,"1. Trip Attrition, by Trip Type",null,null,null,null,null,null,null,null,null,null,"Non-Taxi / Uber Total","Taxi / Uber Total",165,null,null,null,null,null,null,null,null,"Non-Taxi Total","Taxi / Uber Total"]
[null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft",null,null,166,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","UberLyft"]
[null,"Daily motor vehicle trips into cordon, baseline",null,null,null,{"$f":"F31","v":613400},225700,158700,100500,32900,40700,54900,{"$f":"F167-J167-L167","v":525600},{"$f":"J167+L167","v":87800},167,null,{"$f":"Q31","v":521400},79800,239300,102000,30300,16200,53800,{"$f":"Q167-U167","v":491100},{"$f":"U167+W167","v":84100}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O31, \", where data were imported from 'Motor V's worksheet. Recall that return legs of through-trips are *not* counted here, but are reflected in revenue and traffic calculations\" & \" via compound tolls imputed to through-trips.)\")","v":"Copied from Row 31, where data were imported from 'Motor V's worksheet. Recall that return legs of through-trips are *not* counted here, but are reflected in revenue and traffic calculations via compound tolls imputed to through-trips.)"},null,null,null,null,null,null,null,null,null,null,null,null,168]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,169]
[null,"Daily motor vehicle trips into cordon, after new toll",null,null,null,{"$f":"SUM(G170:L170)","v":534155.36135712976},{"$f":"G117","v":171325.6392049194},141844.74156519983,79073.027439417769,36892.383966688525,40044.310944643512,64975.258236260677,{"$f":"F170-J170-L170","v":432287.71915418055},{"$f":"J170+L170","v":101867.64220294921},170,null,{"$f":"SUM(R170:W170)","v":481703.53433179064},{"$f":"R117","v":74267.357151931879},209162.72600244018,89841.636554156838,33794.156990015283,15857.109387045588,58780.54824620056,{"$f":"Q170-U170","v":447909.37734177534},{"$f":"U170+W170","v":92574.705236215843}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O117, \", where data were imported from 'Motor V's worksheet. Also do not have return legs of through-trips.\")","v":"Copied from Row 117, where data were imported from 'Motor V's worksheet. Also do not have return legs of through-trips."},null,null,null,null,null,null,null,null,null,null,null,null,171]
[null,"Percentage attrition",null,null,null,{"$f":"1-F170/F167","v":0.12918917287719311},0.24091431455507573,0.1062083077177074,0.21320370707046998,-0.12134905673825314,1.6110296200405161E-2,-0.18352018645283574,0.17753478090909336,null,172,null,{"$f":"1-Q170/Q167","v":7.6134379877655034E-2},6.9331364010878693E-2,0.12593929794216396,0.11919964162591334,-0.11531871254175852,2.1166087219408158E-2,-9.257524621190627E-2,8.7946696514405787E-2]
[null,"Attrition, number",null,null,null,null,null,null,null,null,null,null,{"$f":"M167-M170","v":93312.280845819449},{"$f":"N167-N170","v":-14067.64220294921},173,null,null,null,null,null,null,null,null,{"$f":"X167-X170","v":43190.62265822466},{"$f":"Y167-Y170","v":-8474.7052362158429}]
[null,null,null,null,null,"W   E   E   K   D   A   Y   S",null,null,null,null,null,null,null,null,174,null,"W   E   E   K   E   N   D   S"]
[null,"2. Trip Attrition, by Portal (excludes taxis)",null,null,null,null,null,null,null,"NJ tunnels","E Riv bridges","E Riv tunnels",null,"E Riv br's\n+ tunnels",175,null,null,null,null,null,"NJ tunnels","E Riv bridges","E Riv tunnels",null,"E Riv br's\n+ tunnels"]
[null,null,null,null,null,null,null,null,"60th Street",null,null,null,"Total",null,176,null,null,null,null,"60th Street"]
[null,"Baseline",null,null,null,null,null,null,null,null,null,null,null,null,177]
[null,"Percentage entries to CBD, all motor vehicle trips (includes thru-trips)",null,null,null,null,null,null,{"$f":"'Hub-Bound'!O108","v":0.44438549854645137},{"$f":"'Hub-Bound'!O109","v":0.14334935358911405},{"$f":"'Hub-Bound'!O110","v":0.31275676618672632},{"$f":"'Hub-Bound'!O111","v":9.9508381677708299E-2},{"$f":"SUM(I178:L178)","v":1},{"$f":"K178+L178","v":0.41226514786443463},178,null,null,null,null,{"$f":"I178","v":0.44438549854645137},{"$f":"J178","v":0.14334935358911405},{"$f":"K178","v":0.31275676618672632},{"$f":"L178","v":9.9508381677708299E-2},{"$f":"SUM(T178:W178)","v":1},{"$f":"V178+W178","v":0.41226514786443463}]
[null,{"$f":"CONCATENATE(\"Copied from 'Hub-Bound' worksheet, Rows \",'Hub-Bound'!R108, \"-\",'Hub-Bound'!R111, \".\")","v":"Copied from 'Hub-Bound' worksheet, Rows 108-111."},null,null,null,null,null,null,null,null,null,null,null,null,179]
[null,"Number of entries, all motor vehicle trips (includes thru-trips)",null,null,null,null,null,null,{"$f":"I178*$F$167","v":272586.06480839325},{"$f":"J178*$F$167","v":87930.493491562564},{"$f":"K178*$F$167","v":191845.00037893793},{"$f":"L178*$F$167","v":61038.441321106271},{"$f":"SUM(I180:L180)","v":613400},{"$f":"K180+L180","v":252883.4417000442},180,null,null,null,null,{"$f":"T178*$Q$167","v":231702.59894211974},{"$f":"U178*$Q$167","v":74742.352961364071},{"$f":"V178*$Q$167","v":163071.37788975911},{"$f":"W178*$Q$167","v":51883.67020675711},{"$f":"X178*$U$167","v":30300},{"$f":"V180+W180","v":214955.04809651623}]
[null,{"$f":"CONCATENATE(\"Product of total m.v. trips into cordon from Cell F\",$O$167, \" and each portal's share in Row \",O178, \".\")","v":"Product of total m.v. trips into cordon from Cell F167 and each portal's share in Row 178."},null,null,null,null,null,null,null,null,null,null,null,null,181,null,null,null,null,null,null,null,null,null,null,null,"This section of the worksheet develops the graphic used in Komanoff's 10-August-2016 Streetsblog post, \"Tolling Opens Up Possibilities for Better Brooklyn Bridge Walking and Biking.\"",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"This figure is ratio of Cell AK\",O185, \" to Cell AF\",O187, \" and is used to ratio Col AF figures to Col AK figures.\")","v":"This figure is ratio of Cell AK185 to Cell AF187 and is used to ratio Col AF figures to Col AK figures."}]
[null,{"$f":"CONCATENATE(\"Factor which, multiplied by % shares of m.v. entries in Row \",O178, \", approximates taxi/UberLyft's shares\")","v":"Factor which, multiplied by % shares of m.v. entries in Row 178, approximates taxi/UberLyft's shares"},null,null,null,null,null,null,{"$f":"(1-SUMPRODUCT(J178:L178,J182:L182))/I178","v":1.904734666263366},2.5000000000000001E-2,0.4,0.25,null,null,182,null,null,null,null,{"$f":"I182","v":1.904734666263366},{"$f":"J182","v":2.5000000000000001E-2},{"$f":"K182","v":0.4},{"$f":"L182","v":0.25},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"This figure is from Cell K\",Bridges!O237, \" of 'Bridges' worksheet and includes all motor v trips.\")","v":"This figure is from Cell K237 of 'Bridges' worksheet and includes all motor v trips."}]
[null,"Komanoff assumptions, intended to reflect extremely low tendency of yellow cabs and UberLyfts to enter cordon via Hudson River, and somewhat lower for E River crossings. NJ and E Riv figures are specified by Komanoff, and algebra calculates 60th St figure to ensure Total = 1. Note statement by Schaller in his 2006 Taxicab Fact Book (ref'd in 'Taxis' worksheet), p. 8: \"4% of all [medallion taxi] trips began and/or ended at LaGuardia or Kennedy airports in 1990. (The number of trips to Newark airport was negligible.)\"",null,null,null,null,null,null,null,null,null,null,null,null,183]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,184,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note that the 'hard-wired' figures in Col AK, Rows \",O188, \"-\",O190, \" would have to be recalculated for toll scenarios other than the Move NY - Sam Schwartz plan.\")","v":"Note that the 'hard-wired' figures in Col AK, Rows 188-190 would have to be recalculated for toll scenarios other than the Move NY - Sam Schwartz plan."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,185,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Bridges!K237/2","v":234953.5}]
[null,"Percentage entries to CBD by taxicabs and UberLyfts ",null,null,null,null,null,null,{"$f":"I178*I182","v":0.8464364642661546},{"$f":"J178*J182","v":3.5837338397278515E-3},{"$f":"K178*K182","v":0.12510270647469054},{"$f":"L178*L182","v":2.4877095419427075E-2},{"$f":"SUM(I186:L186)","v":1.0000000000000002},{"$f":"K186+L186","v":0.14997980189411761},186,null,null,null,null,{"$f":"T178*T182","v":0.8464364642661546},{"$f":"U178*U182","v":3.5837338397278515E-3},{"$f":"V178*V182","v":0.12510270647469054},{"$f":"W178*W182","v":2.4877095419427075E-2},{"$f":"SUM(T186:W186)","v":1.0000000000000002},{"$f":"V186+W186","v":0.14997980189411761},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Source is Cell K\",O190,\". Figure excludes taxis and counts thru-trips just once.\")","v":"Source is Cell K190. Figure excludes taxis and counts thru-trips just once."},null,null,null,{"$f":"$AK$185/$AF$187","v":1.2990833977949414}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O178, \" and \",O182, \".\")","v":"Product of Rows 178 and 182."},null,null,null,null,null,null,null,null,null,null,null,null,187,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Today",{"$f":"K190","v":180860.9827504601},null,null,null,null,{"$f":"ROUND(AF187*$AK$186,-3)","v":235000}]
[null,"Taxicab and UberLyft cordon entries (includes thru-trips)",null,null,null,null,null,null,{"$f":"I186*($J$167+$L$167)","v":74317.121562568369},{"$f":"J186*($J$167+$L$167)","v":314.65183112810536},{"$f":"K186*($J$167+$L$167)","v":10984.01762847783},{"$f":"L186*($J$167+$L$167)","v":2184.2089778256973},{"$f":"SUM(I188:L188)","v":87800},null,188,null,null,null,null,{"$f":"T186*$U$167","v":25647.024867264485},{"$f":"U186*$U$167","v":108.5871353437539},{"$f":"V186*$U$167","v":3790.6120061831234},{"$f":"W186*$U$167","v":753.77599120864033},{"$f":"X186*$U$167","v":30300.000000000007},null,null,null,null,null,null,"With Move NY tolls, but only counting trips priced off roads",153077,"Cells at left, hard-wired, were calculated by varying parameters in Policy Levers tab to isolate effects of price disincentive, toll shopping and transit investment.",null,null,null,{"$f":"ROUND(AF188*$AK$186,-3)","v":199000}]
[null,{"$f":"CONCATENATE(\"Product of total taxicab entries to cordon from Cell J\",$O$167, \" and each portal's share of taxicab entries in Row \",O186, \".\")","v":"Product of total taxicab entries to cordon from Cell J167 and each portal's share of taxicab entries in Row 186."},null,null,null,null,null,null,null,null,null,null,null,null,189,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Also count toll smoothing w/ Move NY tolls",136116,null,null,null,null,{"$f":"ROUND(AF189*$AK$186,-3)","v":177000}]
[null,"Number of entries, all motor vehicle trips except taxicabs and UberLyfts(includes thru-trips)",null,null,null,null,null,null,{"$f":"I180-I188","v":198268.94324582489},{"$f":"J180-J188","v":87615.841660434453},{"$f":"K180-K188","v":180860.9827504601},{"$f":"L180-L188","v":58854.232343280572},{"$f":"SUM(I190:L190)","v":525600},{"$f":"K190+L190","v":239715.21509374067},190,null,null,null,null,{"$f":"T180-T188","v":206055.57407485525},{"$f":"U180-U188","v":74633.765826020317},{"$f":"V180-V188","v":159280.76588357598},{"$f":"W180-W188","v":51129.894215548469},{"$f":"SUM(T190:W190)","v":491100.00000000006},{"$f":"V190+W190","v":210410.66009912445},null,null,null,null,null,"Count better transit service (but not toll smoothing) w/ Move NY tolls",130171,null,null,null,null,{"$f":"ROUND(AF190*$AK$186,-3)","v":169000}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O180, \" and \",O188, \".\")","v":"Difference between Rows 180 and 188."},null,null,null,null,null,null,null,null,null,null,null,null,191,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All impacts from Move NY tolls",{"$f":"K216","v":120649.48324749825},{"$f":"CONCATENATE(\"Source: Cell K\",O216,\".\")","v":"Source: Cell K216."},null,null,null,{"$f":"ROUND(AF191*$AK$186,-3)","v":157000}]
[null,"Each portal's share of motor vehicles trips except taxicabs & UberLyfts",null,null,null,null,null,null,{"$f":"I190/$M$190","v":0.37722401682995604},{"$f":"J190/$M$190","v":0.1666968068120899},{"$f":"K190/$M$190","v":0.34410384845977948},{"$f":"L190/$M$190","v":0.1119753278981746},{"$f":"SUM(I192:L192)","v":1},null,192,null,null,null,null,{"$f":"T190/$X$190","v":0.41957966620821668},{"$f":"U190/$X$190","v":0.15197264472820263},{"$f":"V190/$X$190","v":0.32433468923554459},{"$f":"W190/$X$190","v":0.10411299982803597},{"$f":"X190/$X$190","v":1}]
[null,{"$f":"CONCATENATE(\"From Row \",O190, \".\")","v":"From Row 190."},null,null,null,null,null,null,null,null,null,null,null,null,193]
[null,"Adjustment factor to above shares to reflect non-uniform distribution of thru-trips among portals",null,null,null,null,null,null,{"$f":"(1-SUMPRODUCT(J192:L192,J194:L194))/I192","v":0.95047165964641289},1.03,{"$f":"$J$194","v":1.03},{"$f":"$J$194","v":1.03},null,null,194,null,null,null,null,{"$f":"(1-SUMPRODUCT(U192:W192,U194:W194))/T192","v":0.95849987161886818},1.03,{"$f":"$J$194","v":1.03},{"$f":"$J$194","v":1.03}]
[null,{"$f":"CONCATENATE(\"Uniform factor applied to NJ + E Riv crossings is Komanoff assumption. 60th Street factor is calculated to ensure that X-products of % entries (Row \",O192, \") and adjustment factors sum to 1.\")","v":"Uniform factor applied to NJ + E Riv crossings is Komanoff assumption. 60th Street factor is calculated to ensure that X-products of % entries (Row 192) and adjustment factors sum to 1."},null,null,null,null,null,null,null,null,null,null,null,null,195]
[null,"Portal shares of m.v. trips except taxicabs & UberLyfts, adj'd to reflect non-uniform distrib by portal",null,null,null,null,null,null,{"$f":"I192*I194","v":0.3585407373348547},{"$f":"J192*J194","v":0.17169771101645259},{"$f":"K192*K194","v":0.35442696391357287},{"$f":"L192*L194","v":0.11533458773511984},{"$f":"SUM(I196:L196)","v":1},{"$f":"K196+L196","v":0.46976155164869271},196,null,null,null,null,{"$f":"T192*T194","v":0.40216705619446325},{"$f":"U192*U194","v":0.1565318240700487},{"$f":"V192*V194","v":0.33406472991261094},{"$f":"W192*W194","v":0.10723638982287706},{"$f":"SUM(T196:W196)","v":1}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O192, \" and \",O194, \".\")","v":"Product of Rows 192 and 194."},null,null,null,null,null,null,null,null,null,null,null,null,197]
[null,"% entries, non-taxi/UberLyft trips, that currently pay no toll to enter or cross through CBD",null,null,null,null,null,null,{"$f":"I196+K196","v":0.71296770124842757},null,null,null,null,null,198,null,null,null,null,{"$f":"T196+V196","v":0.73623178610707418}]
[null,{"$f":"CONCATENATE(\"Sum of Cells I\",O196, \" and K\",O196, \".\")","v":"Sum of Cells I196 and K196."},null,null,null,null,null,null,null,null,null,null,null,null,199]
[null,null,null,null,null,null,null,null,null,"NJ tunnels","E Riv bridges","E Riv tunnels",null,"E Riv br's\n+ tunnels",200,null,null,null,null,null,"NJ tunnels","E Riv bridges","E Riv tunnels",null,"E Riv br's\n+ tunnels"]
[null,"Cordon Toll and its Effects",null,null,"There are no FHV (yellows, Ub/Lyft) trips in this section",null,null,null,"60th Street",null,null,null,"Total",null,201,"There are no FHV (yellows, Ub/Lyft) trips in this section",null,null,null,"60th Street",null,null,null,"Total"]
[null,"Average toll increase, weekdays (autos)",null,null,"Through-trips are included, however.",null,null,null,{"$f":"MAX('Motor Vs'!W282,0)","v":10.280468418395474},{"$f":"MAX(('Motor Vs'!W308+'Motor Vs'!W309)/'Motor Vs'!K298,0)","v":0},{"$f":"MAX('Motor Vs'!W282,0)","v":10.280468418395474},{"$f":"MAX(('Motor Vs'!W305+'Motor Vs'!W306)/'Motor Vs'!J298,0)","v":0},null,null,202,null,null,null,null,{"$f":"MAX('Motor Vs Weekends'!W282,0)","v":6.2476898523389899},{"$f":"MAX(('Motor Vs Weekends'!W308+'Motor Vs Weekends'!W309)/'Motor Vs Weekends'!K298,0)","v":0},{"$f":"MAX('Motor Vs Weekends'!W282,0)","v":6.2476898523389899},{"$f":"MAX(('Motor Vs Weekends'!W305+'Motor Vs Weekends'!W306)/'Motor Vs Weekends'!J298,0)","v":0}]
[null,{"$f":"CONCATENATE(\"Derived from Rows \",'Motor Vs'!O282, \" to \",'Motor Vs'!O309, \" of 'Motor V's worksheet.\")","v":"Derived from Rows 282 to 309 of 'Motor V's worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,203]
[null,"X-Products of entry share & toll increment",null,null,{"$f":"CONCATENATE(\"Cell I\",$O202, \" normally has same formula as Cell K\",$O202, \". But user must 'hard-wire' it to zero if 60th St untolled, i.e., in E Riv bridge toll only scenarios.\")","v":"Cell I202 normally has same formula as Cell K202. But user must 'hard-wire' it to zero if 60th St untolled, i.e., in E Riv bridge toll only scenarios."},null,null,null,{"$f":"I196*I202","v":3.6859667268792005},{"$f":"J196*J202","v":0},{"$f":"K196*K202","v":3.6436752091412781},{"$f":"L196*L202","v":0},{"$f":"SUM(I204:L204)","v":7.3296419360204785},null,204,{"$f":"CONCATENATE(\"Cell T\",$O202, \" normally has same formula as Cell V\",$O202, \". But user must 'hard-wire' it to zero if 60th St untolled, i.e., in E Riv bridge toll only scenarios.\")","v":"Cell T202 normally has same formula as Cell V202. But user must 'hard-wire' it to zero if 60th St untolled, i.e., in E Riv bridge toll only scenarios."},null,null,null,{"$f":"T196*T202","v":2.5126150359311925},{"$f":"U196*U202","v":0},{"$f":"V196*V202","v":2.0871328230993846},{"$f":"W196*W202","v":0},{"$f":"SUM(T204:W204)","v":4.5997478590305771}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O196, \" and \",O202, \".\")","v":"Product of Rows 196 and 202."},null,null,null,null,null,null,null,null,null,null,null,null,205]
[null,"Each portal's share of attrition",null,null,null,null,null,null,{"$f":"I204/$M$204","v":0.50288496478457467},{"$f":"J204/$M$204","v":0},{"$f":"K204/$M$204","v":0.49711503521542527},{"$f":"L204/$M$204","v":0},{"$f":"SUM(I206:L206)","v":1},{"$f":"K206+L206","v":0.49711503521542527},206,null,null,null,null,{"$f":"IF($X$204=0,I206,T204/$X$204)","v":0.5462506017581451},{"$f":"IF($X$204=0,J206,U204/$X$204)","v":0},{"$f":"IF($X$204=0,K206,V204/$X$204)","v":0.45374939824185484},{"$f":"IF($X$204=0,L206,W204/$X$204)","v":0},{"$f":"SUM(T206:W206)","v":1},{"$f":"V206+W206","v":0.45374939824185484}]
[null,{"$f":"CONCATENATE(\"Ratio of respective cells in Row \",O204, \" to sum of X-products in Cell M\",O204, \".\")","v":"Ratio of respective cells in Row 204 to sum of X-products in Cell M204."},null,null,null,null,null,null,null,null,null,null,null,null,207,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O206,\" uses IF statement to set weekend values to weekday values in event Cell X\",O206, \" iszero.\")","v":"Row 206 uses IF statement to set weekend values to weekday values in event Cell X206 iszero."}]
[null,"Each portal's attrition (before traffic re-assignment betw E Riv bridges & tunnels)",null,null,null,null,null,null,{"$f":"I206*$M$173","v":46925.343067118258},{"$f":"J206*$M$173","v":0},{"$f":"K206*$M$173","v":46386.937778701191},{"$f":"L206*$M$173","v":0},{"$f":"SUM(I208:L208)","v":93312.280845819449},{"$f":"K208+L208","v":46386.937778701191},208,null,null,null,null,{"$f":"T206*$X$173","v":23592.903617364198},0,19597.719040860462,0,43190.62265822466,19597.719040860462]
[null,{"$f":"CONCATENATE(\"Product of shares in Row \",O206, \" and attrition total in Cell M\",O173, \".\")","v":"Product of shares in Row 206 and attrition total in Cell M173."},null,null,null,null,null,null,null,null,null,null,null,null,209]
[null,"Number of entries after toll, non-taxi/UberLyft trips (before traffic re-assignment)",null,null,null,null,null,null,{"$f":"I190-I208","v":151343.60017870663},87615.841660434453,134474.04497175891,58854.232343280572,432287.71915418055,193328.27731503948,210,null,null,"Multiple for weekends",null,{"$f":"T190-T208","v":182462.67045749104},74633.765826020317,139683.04684271553,51129.894215548469,447909.3773417754,190812.941058264]
[null,{"$f":"CONCATENATE(\"Baseline entries from Row \",O190, \" less attrition in Row \",O208, \".\")","v":"Baseline entries from Row 190 less attrition in Row 208."},null,null,null,null,null,null,null,null,null,null,null,null,211,null,null,1.5]
[null,"% of surviving E Riv bridge entries that re-assign to E Riv tunnels",null,null,null,null,0.01,"per $1 difference in toll",null,null,{"$f":"G212*(K202-L202)","v":0.10280468418395473},null,null,null,212,null,"per $1 difference in toll",{"$f":"G212*R211","v":1.4999999999999999E-2},null,null,null,{"$f":"R212*(V202-W202)","v":9.3715347785084849E-2}]
[null,"Komanoff rough assumption",null,null,null,null,null,null,null,null,null,null,null,null,213,"Reflecting greater price-sensitivity for weekend trips due to higher elasticities."]
[null,"Number of surviving E Riv bridge entries that re-assign to E Riv tunnels",null,null,null,null,null,null,null,null,{"$f":"-L214","v":-13824.561724260595},{"$f":"K212*K210","v":13824.5617242606},null,null,214,null,null,null,null,null,null,{"$f":"-W214","v":-13090.44531454537},{"$f":"V212*V210","v":13090.445314545384}]
[null,{"$f":"CONCATENATE(\"Tunnels figure is product of % in Row \",O212, \" and 'surviving' trips in Cell K\",O210, \". Bridges figure is is additive inverse.\")","v":"Tunnels figure is product of % in Row 212 and 'surviving' trips in Cell K210. Bridges figure is is additive inverse."},null,null,null,null,null,null,null,null,null,null,null,null,215]
[null,"Number of entries after toll, non-taxi/UberLyft trips (with traffic re-assignment)",null,null,null,null,null,null,{"$f":"I210+I214","v":151343.60017870663},87615.841660434453,120649.48324749831,72678.794067541166,432287.71915418055,193328.27731503948,216,null,null,null,null,{"$f":"T210+T214","v":182462.67045749104},74633.765826020317,126592.60152817015,64220.339530093857,447909.3773417754,190812.941058264]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O210, \" and \",O214, \".\")","v":"Sum of Rows 210 and 214."},null,null,null,null,null,null,null,null,null,null,null,null,217]
[null,"Assignment of change in Uber/Lyfts to each portal",null,null,null,null,null,null,{"$f":"-I186*$N$173","v":11907.365326825668},{"$f":"-J186*$N$173","v":50.41468540789274},{"$f":"-K186*$N$173","v":1759.900113306524},{"$f":"-L186*$N$173","v":349.96207740912678},{"$f":"SUM(I218:L218)","v":14067.642202949213},null,218,null,null,null,null,{"$f":"-T186*$Y$173","v":7173.2995358404041},{"$f":"-U186*$Y$173","v":30.371087936745532},{"$f":"-V186*$Y$173","v":1060.2085616258337},{"$f":"-W186*$Y$173","v":210.82605081285979},{"$f":"SUM(T218:W218)","v":8474.7052362158447}]
[null,{"$f":"CONCATENATE(\"Additive inverse of product of shares in Row \",O186, \" and (non-)attrition total in Cell N\",O173, \".\")","v":"Additive inverse of product of shares in Row 186 and (non-)attrition total in Cell N173."},null,null,null,null,null,null,null,null,null,null,null,null,219]
[null,"Number of taxi/UberLyft entries after toll, (w/o traffic re-assignment)",null,null,null,null,null,null,{"$f":"I188+I218","v":86224.486889394029},{"$f":"J188+J218","v":365.06651653599812},{"$f":"K188+K218","v":12743.917741784353},{"$f":"L188+L218","v":2534.1710552348241},{"$f":"SUM(I220:L220)","v":101867.64220294921},null,220,null,null,null,null,{"$f":"T188+T218","v":32820.324403104889},{"$f":"U188+U218","v":138.95822328049942},{"$f":"V188+V218","v":4850.8205678089571},{"$f":"W188+W218","v":964.6020420215001},{"$f":"SUM(T220:W220)","v":38774.705236215843}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O188, \" and \",O218, \".\")","v":"Sum of Rows 188 and 218."},null,null,null,null,null,null,null,null,null,null,null,null,221]
[null,"Each portal's survival percentage (share of its baseline non-taxi/UberLyft entries that remain)",null,null,null,null,null,null,{"$f":"I216/I190","v":0.76332479359141181},1,0.66708408531630292,1.2348949459339766,0.82246521909090664,0.80649147464185134,222,null,null,null,null,{"$f":"T216/T190","v":0.88550223053517862},1,0.79477644915834489,1.2560233209042044,0.91205330348559421,0.90685966656048711]
[null,{"$f":"CONCATENATE(\"Ratio of surviving trips in Row \",O216, \" to baseline trips in Row \",O190, \".\")","v":"Ratio of surviving trips in Row 216 to baseline trips in Row 190."},null,null,null,null,null,null,null,null,null,null,null,null,223]
[null,"60th St portal's share of surviving trips at 60th St + E Riv bridges combined",null,null,null,null,null,null,{"$f":"I216/(I216+K216)","v":0.55642444385821299},null,null,null,null,null,224]
[null,{"$f":"CONCATENATE(\"Ratio of Cell I\",O216, \" to sum of Cells I\",O216, \" and K\",O216, \".\")","v":"Ratio of Cell I216 to sum of Cells I216 and K216."},null,null,null,null,null,null,null,null,null,null,null,null,225]
[null,"60th St portal's share, rounded",null,null,null,null,null,null,{"$f":"ROUND(I224,2)","v":0.56000000000000005},null,null,null,null,null,226]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,227]
[null,"Revenue per Portal (thousands of dollars per day)",null,null,null,null,null,null,"60th St","NJ","E R bridges","E R tunnels","Total","E R all",{"$f":"ROW(P228)","v":228}]
[null,"Note: figures are for relative (comparison) purposes only, since they do not reflect cash surcharges, higher truck rates, etc.",null,null,null,null,null,null,null,null,null,null,null,null,229]
[null,null,null,null,null,null,null,null,{"$f":"I216*I202/1000","v":1555.8831019634652},{"$f":"J216*J202/1000","v":0},{"$f":"K216*K202/1000","v":1240.3332022216402},{"$f":"L214*K202/1000","v":142.12297020441997},{"$f":"SUM(I230:L230)","v":2938.3392743895256},{"$f":"K230+L230","v":1382.4561724260602},230]
[null,{"$f":"CONCATENATE(\"Product of Row \",O202, \" and Row \",O216, \", except that figure for East River tunnels is product of toll figure for East River *bridges* in Cell K\",O202, \" and number of reassigned trips in Cell L\",O214, \".\")","v":"Product of Row 202 and Row 216, except that figure for East River tunnels is product of toll figure for East River *bridges* in Cell K202 and number of reassigned trips in Cell L214."},null,null,null,null,null,null,null,null,null,null,null,null,231]
[null,null,null,null,null,null,null,null,{"$f":"I230/$M$230","v":0.5295110457544826},null,null,null,null,{"$f":"N230/$M$230","v":0.47048895424551734},232]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,233]
[null,"G. Comparison and Combination of CBD entries and MTA bridge crossings",null,null,null,null,null,null,null,null,null,null,null,null,234]
[null,"All figures are baseline, i.e., current conditions",null,null,null,null,null,null,null,null,null,null,null,null,235]
[null,null,null,null,null,null,null,"Total: tolled + untolled",null,"East River bridges (4)","Untolled total","East River tunnels (2)","MTA major bridges (4)","Tolled total",236]
[null,null,null,null,null,null,"NJ Tunnels",null,"60th Street",null,null,null,null,null,237]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,238]
[null,"Number daily trips either direction (includes taxis/UberLyfts, excludes PANYNJ)",null,null,null,null,null,{"$f":"K239+N239","v":1702898.4425551135},{"$f":"2*I178*'Motor Vs'!$H$39","v":621517.55826706684},{"$f":"2*K178*'Motor Vs'!$H$39","v":437421.61318875541},{"$f":"I239+J239","v":1058939.1714558222},{"$f":"2*L178*'Motor Vs'!$H$39","v":139172.42261444282},{"$f":"1000/Constants!J6*SUM('MTA Crossings'!S36:S37)+SUM('MTA Crossings'!S39:S40)","v":504786.84848484851},{"$f":"L239+M239","v":643959.27109929128},239]
[null,{"$f":"CONCATENATE(\"60th St, E Riv bridge and E Riv tunnel entries are twice product of shares of CBD entries in Row \",O178,\" above, times total CBD vehicular entries in 'Motor Vs' tab, Cell H\",'Motor Vs'!O39,\". (Doubling allows figure from 'Motor Vs', which is inbound only, to reflect outbound as well.) MTA major bridges figure is sum of entries for VNB, Triborough, Whitestone & Throgs Neck bridges in 'MTA Crossings' tab, Rows \",'MTA Crossings'!AL36,\"-\",'MTA Crossings'!AL40,\"; divided by ratio of annual to single weekday volume from 'Constants' worksheet.\")","v":"60th St, E Riv bridge and E Riv tunnel entries are twice product of shares of CBD entries in Row 178 above, times total CBD vehicular entries in 'Motor Vs' tab, Cell H39. (Doubling allows figure from 'Motor Vs', which is inbound only, to reflect outbound as well.) MTA major bridges figure is sum of entries for VNB, Triborough, Whitestone & Throgs Neck bridges in 'MTA Crossings' tab, Rows 36-40; divided by ratio of annual to single weekday volume from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,240]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,241]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,242]
[null,"% of (grand) total",null,null,null,null,null,null,{"$f":"I239/$H$239","v":0.36497629144255428},0.25686887852949486,0.62184516997204908,8.1726789535153721E-2,0.29642804049279725,0.37815483002795092,243]
[null,{"$f":"CONCATENATE(\"From Row \",O239, \", with Cell H\",O239, \" as denominator.\")","v":"From Row 239, with Cell H239 as denominator."},null,null,null,null,null,null,null,null,null,null,null,null,244]
[null,"Daily trips either direction, incl. taxis/UberLyfts, excludes PANYNJ & 60th St",null,null,null,null,null,{"$f":"K245+N245","v":1081380.8842880467},null,{"$f":"J239","v":437421.61318875541},{"$f":"I245+J245","v":437421.61318875541},{"$f":"L239","v":139172.42261444282},{"$f":"M239","v":504786.84848484851},{"$f":"L245+M245","v":643959.27109929128},245]
[null,{"$f":"CONCATENATE(\"Figures duplicate Row \",O239, \" but with Cell I\",O239, \" zeroed out.\")","v":"Figures duplicate Row 239 but with Cell I239 zeroed out."},null,null,null,null,null,null,null,null,null,null,null,null,246]
[null,"Daily trips in/from CBD either direction, incl taxis/UberLyfts, excludes PANYNJ",null,null,null,null,null,{"$f":"I239+J239+L239","v":1198111.5940702651},{"$f":"I239","v":621517.55826706684},{"$f":"J239","v":437421.61318875541},{"$f":"I247+J247","v":1058939.1714558222},{"$f":"L239","v":139172.42261444282},null,null,247]
[null,{"$f":"CONCATENATE(\"Figures duplicate Row \",O239, \" but with Cell M\",O239, \" zeroed out.\")","v":"Figures duplicate Row 239 but with Cell M239 zeroed out."},null,null,null,null,null,null,null,null,null,null,null,null,248]
[null,"% of CBD total (excludes PANYNJ, however)",null,null,null,null,null,null,{"$f":"I247/$H$247","v":0.51874763698398618},{"$f":"J247/$H$247","v":0.36509254676580832},{"$f":"K247/$H$247","v":0.88384018374979445},{"$f":"L247/$H$247","v":0.11615981625020552},null,null,249]
[null,{"$f":"CONCATENATE(\"From Row \",O247, \", with Cell H\",O247, \" as denominator.\")","v":"From Row 247, with Cell H247 as denominator."},null,null,null,null,null,null,null,null,null,null,null,null,250]
[null,"NJ daily trips in/from CBD either direction, incl taxis/UberLyfts",null,null,null,null,{"$f":"2*(Revenues!G162+Revenues!G163)","v":0},null,null,null,null,null,null,null,251]
[null,{"$f":"CONCATENATE(\"Twice sum of Lincoln and Holland Tunnel figures in 'Revenues' tab, Cells G\",Revenues!R173,\" and G\",Revenues!R174, \". Doubling allows inbound to represent both directions.\")","v":"Twice sum of Lincoln and Holland Tunnel figures in 'Revenues' tab, Cells G173 and G174. Doubling allows inbound to represent both directions."},null,null,null,null,null,null,null,null,null,null,null,null,252]
[null,"All: NJ CBD, 60th St, E R bridges, E R tunnels, MTA major bridges",null,null,null,null,{"$f":"G251","v":0},{"$f":"H239+G251","v":1702898.4425551135},{"$f":"I247","v":621517.55826706684},{"$f":"J247","v":437421.61318875541},{"$f":"K247","v":1058939.1714558222},{"$f":"L247","v":139172.42261444282},{"$f":"M245","v":504786.84848484851},{"$f":"N245+G251","v":643959.27109929128},253]
[null,{"$f":"CONCATENATE(\"Sum of cells H\",O239, \" (total CBD crossings within NYS plus 4 major MTA bridges) and G\",O251, \" (Lincoln and Holland Tunnels).\")","v":"Sum of cells H239 (total CBD crossings within NYS plus 4 major MTA bridges) and G251 (Lincoln and Holland Tunnels)."},null,null,null,null,null,null,null,null,null,null,null,null,254]
[null,"% of grand total (excludes PANYNJ, however)",null,null,null,null,{"$f":"G253/$H$253","v":0},1,0.36497629144255428,0.25686887852949486,0.62184516997204908,8.1726789535153721E-2,0.29642804049279725,0.37815483002795092,255]
[null,null,null,null,null,null,null,"Total: tolled + untolled",null,"East River bridges (4)","Untolled total","East River tunnels (2)","MTA major bridges (4)","Tolled total",256]
[null,null,null,null,null,null,"NJ Tunnels",null,"60th Street",null,null,null,null,null,257]
[null,"CBD Total",null,null,null,null,{"$f":"G253","v":0},{"$f":"G251+H247","v":1198111.5940702651},{"$f":"I253","v":621517.55826706684},{"$f":"J253","v":437421.61318875541},{"$f":"K253","v":1058939.1714558222},{"$f":"L253","v":139172.42261444282},null,{"$f":"G258+L258","v":139172.42261444282},258]
[null,{"$f":"CONCATENATE(\"Sum of cells H\",O247, \" (total CBD crossings within NYS w/o MTA bridges) and G\",O251, \" (Lincoln and Holland Tunnels).\")","v":"Sum of cells H247 (total CBD crossings within NYS w/o MTA bridges) and G251 (Lincoln and Holland Tunnels)."},null,null,null,null,null,null,null,null,null,null,null,null,259]
[null,"% of CBD total",null,null,null,null,{"$f":"G258/$H$258","v":0},1,0.51874763698398618,0.36509254676580832,0.88384018374979445,0.11615981625020552,null,{"$f":"N258/$H$258","v":0.11615981625020552},260]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,261]
[null,"H. Comparison of tolled and untolled CBD entries by vehicle and by transit",null,null,null,null,null,null,null,null,null,null,null,null,262]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,263]
[null,{"$f":"CONCATENATE(\"Motor v figures are from 'Travel' tab, Rows \",Travel!P110, \"-\",Travel!P119, \", and are people rather than just vehicles. They include thru-trips since comparison here isn't restricted to trips that end in CBD. Distribution of trips betw tolled and untolled uses %'s in Cells K\",O260, \" and N\",O260, \". Transit figures are also from 'Travel' tab, Rows \",Travel!P148, \"-\",Travel!P161, \". Every figure in array has been doubled for consistency w/ figs in Section G.\")","v":"Motor v figures are from 'Travel' tab, Rows 110-119, and are people rather than just vehicles. They include thru-trips since comparison here isn't restricted to trips that end in CBD. Distribution of trips betw tolled and untolled uses %'s in Cells K260 and N260. Transit figures are also from 'Travel' tab, Rows 148-161. Every figure in array has been doubled for consistency w/ figs in Section G."},null,null,null,null,"All figures are one-way trips in either direction",null,null,null,null,null,null,null,264]
[null,null,null,null,null,null,"People in untolled mv","People in tolled m.v.","People on subways","People on buses","People on  rail","People on transit","Paying fare or toll","All people to/thru cbd",265]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,266]
[null,null,null,null,"Automobiles",{"$f":"Travel!G110","v":627704.3899909656},{"$f":"$K$260*F267","v":554790.36339016771},{"$f":"(1-$K$260)*F267","v":72914.026600797923},null,null,null,null,null,null,267]
[null,null,null,null,"Taxicabs",{"$f":"Travel!G119","v":29984.337519312299},{"$f":"$K$260*F268","v":26501.362382684838},{"$f":"(1-$K$260)*F268","v":3482.9751366274609},null,null,null,null,null,null,268]
[null,null,null,null,"Trucks",{"$f":"Travel!G132","v":50589},{"$f":"$K$260*F269","v":44712.591055718352},{"$f":"(1-$K$260)*F269","v":5876.4089442816485},null,null,null,null,null,null,269]
[null,null,null,null,"T O T A L ",{"$f":"SUM(F267:F269)","v":708277.72751027788},{"$f":"SUM(G267:G269)","v":626004.31682857091},{"$f":"SUM(H267:H269)","v":82273.410681707028},{"$f":"Travel!G149","v":2048334.5676957644},{"$f":"Travel!G154+Travel!G158","v":262545.91999999998},{"$f":"Travel!G161","v":224656.18},{"$f":"SUM(I270:K270)","v":2535536.6676957645},{"$f":"H270+L270","v":2617810.0783774713},{"$f":"G270+M270","v":3243814.3952060421},270]
[null,null,null,null,null,null,{"$f":"G270/$N$270","v":0.19298401220295716},null,null,null,null,null,{"$f":"M270/$N$270","v":0.80701598779704287},null,271]

{"sheet":"MV Condensed","index":21,"n_rows":165,"n_cols":15,"rows_kept":165,"cut":false,"hidden":false,"merged":[[36,6,44,6],[46,7,53,7],[46,8,53,8],[46,9,53,9],[46,10,53,10],[46,11,53,11],[46,12,53,12],[46,13,53,13],[79,8,85,9],[79,12,84,12],[79,13,84,13],[36,8,43,8],[36,9,43,9],[36,10,43,10],[36,11,43,11],[36,12,43,12],[36,13,43,13],[8,1,11,12],[36,1,37,5],[39,1,40,5],[18,1,19,12],[30,1,31,12],[32,1,35,12],[23,1,25,12],[65,9,67,9],[65,10,67,10],[20,1,22,12],[64,7,64,13],[59,7,61,7],[59,1,62,5],[58,7,58,13],[48,5,54,6],[45,1,47,5],[59,10,61,10],[65,13,67,13],[65,7,67,7],[65,8,67,8],[65,11,67,11],[65,12,67,12],[64,1,68,5],[36,7,43,7],[106,12,113,12],[106,13,113,13],[99,1,100,13],[91,1,92,5],[92,8,92,13],[59,13,61,13],[59,12,61,12],[59,11,61,11],[59,9,61,9],[59,8,61,8],[87,7,87,13],[87,1,88,5],[90,7,90,13],[59,6,61,6],[76,7,76,13],[106,7,113,7],[106,8,113,8],[106,9,113,9],[106,10,113,10],[106,11,113,11],[93,1,95,13],[76,1,85,5],[79,10,84,10],[79,11,84,11],[116,7,123,7],[116,8,123,8],[116,9,123,9],[116,10,123,10],[116,11,123,11],[126,7,126,13],[127,7,129,7],[127,8,129,8],[127,9,129,9],[127,10,129,10],[127,11,129,11],[127,12,129,12],[127,13,129,13],[116,12,123,12],[116,13,123,13],[138,7,138,13],[138,1,139,5],[70,7,70,13],[69,1,71,5],[73,7,73,13],[73,1,74,5],[4,1,6,12],[151,1,153,13],[141,7,141,13],[145,7,145,13],[148,7,148,13],[150,8,150,13],[113,1,114,5],[123,1,124,5],[145,1,146,5],[149,1,150,5],[132,7,132,13],[133,7,135,7],[133,8,135,8],[133,9,135,9],[133,10,135,10],[133,11,135,11],[133,12,135,12],[133,13,135,13]]}
[null,"MV (Motor Vehicles) Condensed",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet condenses and summarizes (i) the baseline estimates of motor vehicle entries to the CBD, (ii) the anticipated changes in those estimates due to congestion tolls, and (iii) the toll revenue from the \"surviving\" trips, as shown and calculated in full detail in the 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs. It's a tutorial, in other words.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Unless stated otherwise, all motor vehicle trips in this model are round-trips. This reflects the habitual premise that congestion charging would be implemented only on inbound trips to the CBD (Central Business District). That premise may no longer apply; traffic engineer-planner Sam Schwartz, for one, proposes charging a \"half\" toll in each direction of travel. Nevertheless, the model architecture is based on applying a \"round-trip toll\" on the inbound leg of trips into the CBD. Note also that the trip figures here are vehicle-trips, not person-trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"1. Baseline number of trips eligible for tolling (weekdays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"We begin with the most important input parameter: the number of motor vehicle trips eligible for tolling on weekdays. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Daily motor vehicle trips into or out of \"Hub\" as defined by NYMTC, on weekdays",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!H$35","v":715800},{"$f":"ROW()","v":18}]
[null,"Source: NYMTC \"Hub-Bound\" Report for 2015. Figure is one-half of combined entries and departures. Entries (Inbound) are from Table 16, \"Where And When Motor Vehicles Entered The Hub On A Fall Business Day In 2015,\" p. 35 of 96. Departures (outbound) are from Table 17, \"Where ... Left the Hub ...,\" p. 36.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"NYMTC'S \"Hub\" is not identical to the prospective CBD charging zone. NYMTC's count includes inbound trips on the Queensboro Bridge upper roadway which enter the Manhattan street system at 62nd Street, i.e., outside the prospective CBD charging zone. Those upper-roadway QBB trips need to be deducted from the \"Hub\" figures. Here is our estimate of that number:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(0.5*'Hub-Bound'!J48,-2)","v":16500},{"$f":"ROW()","v":23}]
[null,{"$f":"CONCATENATE(\"Figure shown is one-half of m.v. entries into the Hub via the QBB upper roadway. The full figure is shown elsewhere in this spreadsheet, in the 'Hub-Bound' worksheet tab, Cell J\",'Hub-Bound'!R48, \". We've taken half of that figure to adjust it to our round-trip convention. (Note that there is no outbound equivalent of the upper roadway, i.e., all outbound trips on the QBB do 'break' the CBD cordon and, thus, would pay the cordon toll.) See \"&\"text box in 'Hub-Bound' worksheet, Rows \",'Hub-Bound'!R14, \"-\",'Hub-Bound'!R29, \", for complete explanation.\")","v":"Figure shown is one-half of m.v. entries into the Hub via the QBB upper roadway. The full figure is shown elsewhere in this spreadsheet, in the 'Hub-Bound' worksheet tab, Cell J48. We've taken half of that figure to adjust it to our round-trip convention. (Note that there is no outbound equivalent of the upper roadway, i.e., all outbound trips on the QBB do 'break' the CBD cordon and, thus, would pay the cordon toll.) See text box in 'Hub-Bound' worksheet, Rows 14-29, for complete explanation."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,{"$f":"CONCATENATE(\"Netting the second number (in Row \",O23, \") from the first (Row \",O18, \") yields this estimate of toll-eligible trips:\")","v":"Netting the second number (in Row 23) from the first (Row 18) yields this estimate of toll-eligible trips:"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"N18-N23","v":699300},{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"2. Categorize these weekday trips by \"type\" — not just trucks / buses / taxis / autos, but thru-trips vs. CBD-destination trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Trips by trucks, buses, medallion taxis and UberLyfts have different \"price elasticities\" (sensitivity to trip price) and other economic characteristics, compared to trips by autos. These differences warrant separate treatments. Moreover, even auto trips differ between work and non-work trips, warranting further subdivision.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"But there is a further issue that goes to the heart of specifying the baseline number of trips correctly: through-trips that pass through the CBD en route from, say, Long Island City to Jersey City. Not only do these trips have different economic characteristics than trips with CBD destinations; if they pass through the CBD both \"coming\" and \"going\" they are counted twice in NYMTC's 'Hub-Bound Data.' But our round-trip-based methodology requires that we count them only once, i.e., as a single round-trip that passes through the CBD twice. Estimation and adjustment are needed to avoid double-counting and, generally, get the trip breakdown right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"The adjustment process is carried out in the Motor Vs tab. Here we only show several stages, including this intermediate subdivision:",null,null,null,null,{"$f":"CONCATENATE(\"Note that this cell, which is calculated as the sum of the ensuing columns, matches the total in Cell N\",O27, \".\")","v":"Note that this cell, which is calculated as the sum of the ensuing columns, matches the total in Cell N27."},"Trips potentially eligible for toll if charged inbound only; is sum of ensuing columns","Auto work-purpose trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto non-work trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Trips by auto, truck or bus that are start or end of a CBD thru-trip.  Each is a one-way \"leg\" of a thru-trip.","Medallion taxi trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.","Truck + bus trips (combined) to CBD, but excluding all trips that are part of a thru-trip","UberLyft (i.e., app-based for-hire vahicle) trips to CBD, but excluding all trips that are part of a thru-trip",{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"The figures in Row \",O45, \" are taken directly from the corresponding columns in Row \",'Motor Vs'!O$55, \" of the 'Motor Vs' worksheet tab.\")","v":"The figures in Row 45 are taken directly from the corresponding columns in Row 55 of the 'Motor Vs' worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,{"$f":"SUM(I45:N45)","v":699300},{"$f":"'Motor Vs'!I$55","v":225700},{"$f":"'Motor Vs'!J$55","v":158700},{"$f":"'Motor Vs'!K$55","v":193374},{"$f":"'Motor Vs'!L$55","v":32900},{"$f":"'Motor Vs'!M$55","v":33726},{"$f":"'Motor Vs'!N$55","v":54900},{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"Here's step 2. Figs in Row \",O55, \" are from corresponding columns in Row \",'Motor Vs'!O$85, \" of the 'Motor Vs' tab.\")","v":"Here's step 2. Figs in Row 55 are from corresponding columns in Row 85 of the 'Motor Vs' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,"Trips eligible for toll if charged inbound only (multiple tolls for thru-trips will be captured later)","Auto work-purpose trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto non-work trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto thru-trips to CBD; incl. thru-trips which pass thru just once (effect will be captured later)","Medallion taxi trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.","Truck + bus trips to CBD, incl. thru-trips, which are counted just once (effect will be captured later)","UberLyft trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.",{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Cell H\",O55, \", calculated as sum of ensuing columns, is less than Cell H\",O45, \" by around \",ROUND((H45-H55)/1000,-1),\",000. That difference reflects est'd thru-trips of \",ROUND((K45-K55)*'Motor Vs'!I57/1000,-1), \",000 by autos and \",ROUND((M55-M45)/1000,0), \",000 by trucks and buses.\")","v":"Cell H55, calculated as sum of ensuing columns, is less than Cell H45 by around 90,000. That difference reflects est'd thru-trips of 70,000 by autos and 7,000 by trucks and buses."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,{"$f":"SUM(I55:N55)","v":613400},{"$f":"'Motor Vs'!I$85","v":225700},{"$f":"'Motor Vs'!J$85","v":158700},{"$f":"'Motor Vs'!K$85","v":100500},{"$f":"'Motor Vs'!L$85","v":32900},{"$f":"'Motor Vs'!M$85","v":40700},{"$f":"'Motor Vs'!N$85","v":54900},{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"3. Apply cordon toll. This will (i) eliminate some baseline weekday trips, and (ii) generate revenue from \"surviving\" weekday trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,"Eliminated Weekday Trips",null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O63, \" are from Row \",'Motor Vs'!O983, \" of 'Motor Vs' tab. They are not calculated directly there, but are displayed here to convey the extent to which vehicle trips are predicted in \" & \"the model to be 'priced off the road' or 'attracted' to transit through investment of toll revenues in subway improvements and expansions.\")","v":"Figures in Row 63 are from Row 983 of 'Motor Vs' tab. They are not calculated directly there, but are displayed here to convey the extent to which vehicle trips are predicted in the model to be 'priced off the road' or 'attracted' to transit through investment of toll revenues in subway improvements and expansions."},null,null,null,null,"Note: \"∆\" in headings at right denotes \"change\"","∆ from baseline # total trips","∆ from baseline #  of auto work trips","∆ baseline # of auto non-work trips","∆ from baseline # of auto-thru trips","∆ from baseline # of medallion taxi trips","∆ from baseline # of truck + bus trips","∆ from baseline # of UberLyft trips",{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,{"$f":"ROUND(SUM(I63:N63),-2)","v":-79300},{"$f":"ROUND('Motor Vs'!W$983,-2)","v":-54400},{"$f":"ROUND('Motor Vs'!AF$983,-2)","v":-16900},{"$f":"ROUND('Motor Vs'!AO$983,-2)","v":-21400},{"$f":"ROUND('Motor Vs'!AX$983,-2)","v":4000},{"$f":"ROUND('Motor Vs'!BG$983,-2)","v":-700},{"$f":"ROUND('Motor Vs'!BP$983,-1)","v":10080},{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O69, \" are from Row \",'Motor Vs'!O933, \" of 'Motor Vs' tab. Calculating them requires more than \",ROUNDDOWN('Motor Vs'!O933-'Motor Vs'!O139,-2), \" rows of calculations there, mostly devoted to taking the initial impact of the toll on traffic through eight 'iterations' of the 'rebound effect' by which changes \" & \"in traffic volumes cause changes in traffic speeds which elicit 'rebounds' in volumes, etc.\" )","v":"Figures in Row 69 are from Row 933 of 'Motor Vs' tab. Calculating them requires more than 700 rows of calculations there, mostly devoted to taking the initial impact of the toll on traffic through eight 'iterations' of the 'rebound effect' by which changes in traffic volumes cause changes in traffic speeds which elicit 'rebounds' in volumes, etc."},null,null,null,null,null,"Surviving Weekday Trips",null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,"# total trips","surviving # of auto work trips","surviving # of auto non-work trips","surviving # of auto-thru trips","surviving # of medallion taxi trips","surviving # of truck + bus trips","surviving # of UberLyft trips",{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,{"$f":"SUM(I69:N69)","v":534100},{"$f":"ROUND('Motor Vs'!W$933,-2)","v":171300},{"$f":"ROUND('Motor Vs'!AF$933,-2)","v":141800},{"$f":"ROUND('Motor Vs'!AO$933,-2)","v":79100},{"$f":"ROUND('Motor Vs'!AX$933,-2)","v":36900},{"$f":"ROUND('Motor Vs'!BG$933,-2)","v":40000},{"$f":"ROUND('Motor Vs'!BP$933,-2)","v":65000},{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Figures at right are meant to reflect possible exemptions for 'official' vehicles and disabled, along with farebeaters. Percent is selected in 'Policy Levers' tab and shown there in Cell K\",'Policy Levers'!O85, \".\")","v":"Figures at right are meant to reflect possible exemptions for 'official' vehicles and disabled, along with farebeaters. Percent is selected in 'Policy Levers' tab and shown there in Cell K85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,"Share of Surviving Weekday Trips That Won't Pay Toll",null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"'Policy Levers'!$K$85","v":0.04},{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"Figures at right are product of surviving trips in Row \",O69, \" and complement of non-revenue trip percents in Row \",$O$72, \".\")","v":"Figures at right are product of surviving trips in Row 69 and complement of non-revenue trip percents in Row 72."},null,null,null,null,null,"Toll-Paying Weekday Trips",null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,{"$f":"SUM(I75:N75)","v":512600},{"$f":"ROUND(I69*(1-I72),-2)","v":164400},136100,75900,35400,38400,62400,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"Toll rates in Row \",O80, \" are from Row \",'Motor Vs'!O339, \" of 'Motor Vs' tab and are wghtd averages of effective toll on each trip category. They take into account (i) full or partial toll exemptions for trips through Hudson and East River tunnels \" & \"(depending on policy specified in the scenario), (ii) expectation that through-trips will pay (round-trip) toll each time they enter or re-enter cordon, \" &\"(iii) choice to apply (or not) cordon toll to medallion taxis, (iv) surcharges for tolls paid through means other than E-ZPass, (v) 'non-revenue' trips, and (vi) possible discount or exemption for second daily trip by commercial vehicles. See Rows \",'Motor Vs'!O289, \"-\",'Motor Vs'!O339, \" of 'Motor Vs' tab for step-by-step derivation.\")","v":"Toll rates in Row 80 are from Row 339 of 'Motor Vs' tab and are wghtd averages of effective toll on each trip category. They take into account (i) full or partial toll exemptions for trips through Hudson and East River tunnels (depending on policy specified in the scenario), (ii) expectation that through-trips will pay (round-trip) toll each time they enter or re-enter cordon, (iii) choice to apply (or not) cordon toll to medallion taxis, (iv) surcharges for tolls paid through means other than E-ZPass, (v) 'non-revenue' trips, and (vi) possible discount or exemption for second daily trip by commercial vehicles. See Rows 289-339 of 'Motor Vs' tab for step-by-step derivation."},null,null,null,null,null,"Average Toll Applied to Surviving Weekday Trips"]
[null,null,null,null,null,null,null,null,"auto work","auto non-wk","auto thru","medallion taxi","truck + bus","UberLyft",{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!W$339","v":7.4423244135552382},{"$f":"'Motor Vs'!AF$339","v":6.5789011591393614},{"$f":"'Motor Vs'!AO$339","v":5.4461354466619669},{"$f":"IF('Policy Levers'!K$124=\"NO\",0,'Motor Vs'!AX$339)","v":0},{"$f":"'Motor Vs'!BG$339","v":16.735896821807366},{"$f":"IF('Policy Levers'!K$156=\"NO\",0,'Motor Vs'!BP$339)","v":0},{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fig. reflect (i) \",ROUND('Policy Levers'!K98,2), \" factor applied to higher-axle veh's (per Cell K\",'Policy Levers'!O98,\" in 'Policy Levers' tab), (ii) assumptions in 'Motor Vs' tab, Cell M\",'Motor Vs'!$O92, \" that \",100*ROUND('Motor Vs'!$M91,2), \"%  of truck/ bus trips are thru-trips paying toll twice, (iii) applicable discount for 2nd CBD entry same day.\")","v":"Fig. reflect (i) 2.2 factor applied to higher-axle veh's (per Cell K98 in 'Policy Levers' tab), (ii) assumptions in 'Motor Vs' tab, Cell M92 that 14%  of truck/ bus trips are thru-trips paying toll twice, (iii) applicable discount for 2nd CBD entry same day."},null,{"$f":"CONCATENATE(\"Fig. reflects assumption in 'Motor Vs' tab, Cell M\",'Motor Vs'!$O57, \" that \",100*'Motor Vs'!$M57,\"% of auto thru-trips pay double toll.\")","v":"Fig. reflects assumption in 'Motor Vs' tab, Cell M57 that 80% of auto thru-trips pay double toll."},"Figure of zero signifies that plan exempts medallion taxis from cordon toll.","See double-column note at left, in green.","Figure of zero signifies that plan exempts UberLyfts from cordon toll.",{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Figures at right are product of toll-paying trips in Row \",O75, \" and average toll for those trips in Row \",O80, \".\")","v":"Figures at right are product of toll-paying trips in Row 75 and average toll for those trips in Row 80."},null,null,null,null,null,"Daily Toll Revenue (weekdays)",null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,{"$f":"SUM(I89:N89)","v":3175000},{"$f":"ROUND(I75*I79,-3)","v":1224000},895000,413000,0,643000,0,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,"Annual Toll Revenue, millions of $$ (weekdays)",null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Fig. in Cell H\",O92, \" is est'd weekday cordon toll revenue (millions).\")","v":"Fig. in Cell H92 is est'd weekday cordon toll revenue (millions)."},null,null,null,null,null,{"$f":"SUM(I92:N92)","v":793.75},{"$f":"I89*wkday_per_yr/1000000","v":306},223.75,103.25,0,160.75,0,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,"(∑ Cols I - N)",{"$f":"CONCATENATE(\"Figures above are product of daily revenues in Row \",O89,\" and # of weekdays in year.\")","v":"Figures above are product of daily revenues in Row 89 and # of weekdays in year."},null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Note: Cell H\",O92, \" and other figures in Row \",O92, \" are illustrative only and should not be used for actual revenue estimation, particularly for variable toll scenarios. This is because average toll rates do not capture non-linear effects as well as drivers' rescheduling of trips.\" & \" Actual revenue calculations for weekday tolls are carried out in 'Motor Vs' worksheet tab, Row \",'Motor Vs'!O1083, \".\")","v":"Note: Cell H92 and other figures in Row 92 are illustrative only and should not be used for actual revenue estimation, particularly for variable toll scenarios. This is because average toll rates do not capture non-linear effects as well as drivers' rescheduling of trips. Actual revenue calculations for weekday tolls are carried out in 'Motor Vs' worksheet tab, Row 1083."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"4. Calculate revenue from weekend and holiday toll, using same procedure as in Parts 1-2-3 above",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Weekend/holiday traffic characteristics are different enough from weekdays' to merit their own worksheet tab, rather than trying to prorate results from 'Motor Vs'. We call it 'Motor Vs Weekends'. This section summarizes trips, toll rates and revenue from those (weekend + holiday) trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Daily motor vehicle trips into or out of \"Hub\" as defined by NYMTC, on weekends",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!H$35","v":609000},{"$f":"ROW()","v":103}]
[null,"Daily motor vehicle trips eligible for cordon toll, on weekends (after adjusting for QBB trips that don't enter the CBD).",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!H$39","v":595000},{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Above two figures are from the 'Motor Vs Weekends' worksheet tab, Rows \",'Motor Vs Weekends'!O35, \" and \",'Motor Vs Weekends'!O39, \".\")","v":"Above two figures are from the 'Motor Vs Weekends' worksheet tab, Rows 35 and 39."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Breakdowns of toll-eligible weekend trips ",null,null,null,null,null,"Trips potentially eligible for toll if charged inbound only; is sum of ensuing columns","Auto work-purpose trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto non-work trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Trips by auto, truck or bus that are start or end of a CBD thru-trip.  Each is a one-way \"leg\" of a thru-trip.","Medallion taxi trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.","Truck + bus trips (combined) to CBD, but excluding all trips that are part of a thru-trip","UberLyft (i.e., app-based for-hire vahicle) trips to CBD, but excluding all trips that are part of a thru-trip",{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,{"$f":"CONCATENATE(\"The figures in Row \",O115, \" are taken directly from the corresponding columns in Row \",'Motor Vs'!O$55, \" of 'Motor Vs Weekends' worksheet tab.\")","v":"The figures in Row 115 are taken directly from the corresponding columns in Row 55 of 'Motor Vs Weekends' worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,{"$f":"SUM(I115:N115)","v":595000},{"$f":"'Motor Vs Weekends'!I$55","v":79768.799999999988},{"$f":"'Motor Vs Weekends'!J$55","v":239306.39999999997},{"$f":"'Motor Vs Weekends'!K$55","v":178819.30000000005},{"$f":"'Motor Vs Weekends'!L$55","v":30300},{"$f":"'Motor Vs Weekends'!M$55","v":13005.5},{"$f":"'Motor Vs Weekends'!N$55","v":53800},{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,"Trips eligible for toll if charged inbound only (multiple tolls for thru-trips will be captured later)","Auto work-purpose trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto non-work trips that begin outside CBD, arrive at a CBD destination, and return \"home\"","Auto thru-trips to CBD; incl. thru-trips which pass thru just once (effect will be captured later)","Medallion taxi trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.","Truck + bus trips to CBD, incl. thru-trips, which are counted just once (effect will be captured later)","UberLyft trips to CBD. All are assumed to begin or end in CBD, i.e., none are part of a thru-trip.",{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Here's the second step. Figures in Row \",O125, \" are from corresponding columns in Row \",'Motor Vs'!O$90, \" of 'Motor Vs Weekends' tab.\")","v":"Here's the second step. Figures in Row 125 are from corresponding columns in Row 90 of 'Motor Vs Weekends' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,{"$f":"SUM(I125:N125)","v":521400},{"$f":"'Motor Vs Weekends'!I$85","v":79800},{"$f":"'Motor Vs Weekends'!J$85","v":239300},{"$f":"'Motor Vs Weekends'!K$85","v":102000},{"$f":"'Motor Vs Weekends'!L$85","v":30300},{"$f":"'Motor Vs Weekends'!M$85","v":16200},{"$f":"'Motor Vs Weekends'!N$85","v":53800},{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,"Eliminated Weekend Trips",null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,"∆ from baseline # total trips","∆ from baseline #  of auto work trips","∆ baseline # of auto non-work trips","∆ from baseline # of auto-thru trips","∆ from baseline # of medallion taxi trips","∆ from baseline # of truck + bus trips","∆ from baseline # of UberLyft trips",{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,{"$f":"CONCATENATE(\"Figures to right are from Row \",'Motor Vs'!O983, \" of 'Motor Vs Weekends' tab.\")","v":"Figures to right are from Row 983 of 'Motor Vs Weekends' tab."},null,null,null,null,null,{"$f":"ROUND(SUM(I131:N131),-2)","v":-39600},{"$f":"ROUND('Motor Vs Weekends'!W$983,-2)","v":-5500},{"$f":"ROUND('Motor Vs Weekends'!AF$983,-2)","v":-30100},{"$f":"ROUND('Motor Vs Weekends'!AO$983,-2)","v":-12200},{"$f":"ROUND('Motor Vs Weekends'!AX$983,-2)","v":3500},{"$f":"ROUND('Motor Vs Weekends'!BG$983,-2)","v":-300},{"$f":"ROUND('Motor Vs Weekends'!BP$983,-1)","v":4980},{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,"Surviving Weekend Trips",null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,"# total trips","surviving # of auto work trips","surviving # of auto non-work trips","surviving # of auto-thru trips","surviving # of medallion taxi trips","surviving # of truck + bus trips","surviving # of UberLyft trips",{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,{"$f":"CONCATENATE(\"Figures to right are from Row \",'Motor Vs'!O933, \" of 'Motor Vs Weekends' tab.\")","v":"Figures to right are from Row 933 of 'Motor Vs Weekends' tab."},null,null,null,null,null,{"$f":"SUM(I137:N137)","v":481800},{"$f":"ROUND('Motor Vs Weekends'!W$933,-2)","v":74300},{"$f":"ROUND('Motor Vs Weekends'!AF$933,-2)","v":209200},{"$f":"ROUND('Motor Vs Weekends'!AO$933,-2)","v":89800},{"$f":"ROUND('Motor Vs Weekends'!AX$933,-2)","v":33800},{"$f":"ROUND('Motor Vs Weekends'!BG$933,-2)","v":15900},{"$f":"ROUND('Motor Vs Weekends'!BP$933,-2)","v":58800},{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,{"$f":"CONCATENATE(\"Figures at right are product of surviving trips in Row \",O137, \" and complement of non-revenue trips in Row \",$O$72, \".\")","v":"Figures at right are product of surviving trips in Row 137 and complement of non-revenue trips in Row 72."},null,null,null,null,null,"Toll-Paying Weekend Trips",null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,{"$f":"SUM(I140:N140)","v":462400},{"$f":"ROUND(I137*(1-$I$72),-2)","v":71300},200800,86200,32400,15300,56400,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,null,"Average Toll Applied to Surviving Weekend Trips",null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,"auto work","auto non-wk","auto thru","medallion taxi","truck + bus","UberLyft",{"$f":"ROW()","v":143}]
[null,{"$f":"CONCATENATE(\"Figures to right are from Row \",'Motor Vs'!O339, \" of 'Motor Vs Weekends' tab.\")","v":"Figures to right are from Row 339 of 'Motor Vs Weekends' tab."},null,null,null,null,null,null,{"$f":"'Motor Vs'!W$339","v":7.4423244135552382},{"$f":"'Motor Vs Weekends'!AF$339","v":5.6943828360030775},{"$f":"'Motor Vs Weekends'!AO$339","v":4.447041390254391},{"$f":"IF('Policy Levers'!K$124=\"NO\",0,'Motor Vs Weekends'!AX$339)","v":0},{"$f":"'Motor Vs Weekends'!BG$339","v":12.855972008696016},{"$f":"IF('Policy Levers'!K$156=\"NO\",0,'Motor Vs Weekends'!BP$339)","v":0},{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Figures at right are product of toll-paying trips in Row \",O140, \" and average toll for those trips in Row \",O144, \".\")","v":"Figures at right are product of toll-paying trips in Row 140 and average toll for those trips in Row 144."},null,null,null,null,null,"Daily Toll Revenue (weekends)",null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,{"$f":"SUM(I147:N147)","v":2254000},{"$f":"ROUND(I140*I144,-3)","v":531000},1143000,383000,0,197000,0,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,"Annual Toll Revenue, millions of $$ (weekends)",null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Fig. in Cell H\",O150, \" is est'd weekend cordon toll revenue (millions).\")","v":"Fig. in Cell H150 is est'd weekend cordon toll revenue (millions)."},null,null,null,null,null,{"$f":"SUM(I150:N150)","v":259.21000000000004},{"$f":"I147*wkend_per_yr/1000000","v":61.064999999999998},131.44499999999999,44.045000000000002,0,22.655000000000001,0,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,"(∑ Cols I - N)",{"$f":"CONCATENATE(\"Figs. above are product of daily revenues in Row \",O147,\" and # of weekend days + holidays in year.\")","v":"Figs. above are product of daily revenues in Row 147 and # of weekend days + holidays in year."},null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"Note: Cell H\",O150, \" and other figures in Row \",O150, \" are illustrative only and should not be used for actual revenue estimation, particularly for variable toll scenarios, because average toll rates do not capture non-linear effects as well as drivers' rescheduling of trips.\" & \" Actual revenue calculations for weekday tolls are carried out in 'Motor Vs Weekends' worksheet tab, Row \",'Motor Vs'!O1083, \".\")","v":"Note: Cell H150 and other figures in Row 150 are illustrative only and should not be used for actual revenue estimation, particularly for variable toll scenarios, because average toll rates do not capture non-linear effects as well as drivers' rescheduling of trips. Actual revenue calculations for weekday tolls are carried out in 'Motor Vs Weekends' worksheet tab, Row 1083."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"5. Combine weekday and weekend/holiday toll revenues, and compare to \"actual\" revenue figure shown in 'Results' worksheet tab",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Estimated total revenue from cordon toll (weekdays + weekends)",null,null,null,null,null,{"$f":"H92+H150","v":1052.96},null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Figure is sum of weekday revenue in Row \",O92, \" and weekends/holidays revenue in Row \",O150, \".\")","v":"Figure is sum of weekday revenue in Row 92 and weekends/holidays revenue in Row 150."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Toll revenue actually calculated in the model (millions)",null,null,null,null,null,{"$f":"Results!K38","v":940},null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Copied from 'Results' worksheet tab, Cell I\",Results!N38, \".\")","v":"Copied from 'Results' worksheet tab, Cell I38."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"Overshoot of rough-estimate here to actual model result (millions)",null,null,null,null,null,{"$f":"H158-H161","v":112.96000000000004},{"$f":"H164/H161","v":0.12017021276595749},null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Dollar figure is Row \",O158, \" less Row \",O161, \". Percent figure is ratio of Row \",O164, \" $ figure to Row \",O161, \".\")","v":"Dollar figure is Row 158 less Row 161. Percent figure is ratio of Row 164 $ figure to Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]

{"sheet":"Data Flow","index":22,"n_rows":154,"n_cols":15,"rows_kept":154,"cut":false,"hidden":false,"merged":[[135,1,138,7],[140,1,143,7],[145,1,148,7],[150,1,153,7],[120,1,124,7],[126,1,129,7],[131,1,133,7],[48,9,50,9],[33,1,35,7],[37,1,39,7],[29,1,31,7],[41,1,44,7],[46,1,47,7],[105,1,107,7],[109,1,112,7],[114,1,118,7],[16,1,18,7],[16,8,18,8],[100,1,103,7],[71,1,74,7],[76,1,80,7],[82,1,86,7],[19,8,21,8],[91,1,94,7],[96,1,98,7],[48,7,50,7],[48,8,50,8],[22,1,24,7],[19,1,21,7],[13,1,15,7],[13,8,15,8],[10,1,12,7],[10,8,12,8],[3,1,5,7],[3,8,5,8],[7,1,8,7],[13,9,15,9],[10,10,12,10],[13,10,15,10],[16,10,18,10],[22,10,24,10],[22,9,24,9],[16,9,18,9],[10,9,12,9],[19,10,21,10],[19,9,21,9],[26,1,27,7],[68,1,69,7],[88,1,89,7],[55,1,58,7],[65,1,66,7],[60,1,63,7],[48,4,50,4],[48,5,50,5],[48,6,50,6]]}
[null,"Data Flow",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet is \"narrative only\" -- it links from but not to other parts of the BTA, in order to explain key data and algorithms that determine the revenue that the \"selected\" congestion-pricing plan will generate, along with the reductions in traffic and improvements in traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Most of the narrative relates to the preceding worksheet, Motor Vehicles. That enormous worksheet (over 1,000 rows, and 68 columns) has these sections:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"A. Specify current (\"baseline\") motor-traffic volumes into, within and out of the Manhattan CBD, and separate them into trip types: (1) auto trips for work purposes, (2) auto trips for non-work purposes, (3) \"through-trips\" that pass through the CBD, (4) medallion taxi trips, (5) truck trips and (6) bus trips.",null,null,null,null,null,null,null,"Click here to go to discussion in this tab.","Click here to go to section of Motor Vs worksheet in which these calculations are performed.",null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"B. Subdivide each of the six trip types into seven different time periods (six, for weekends); and, for each of the 42 subdivisions (36, for weekends), specify and/or calculate current (\"baseline\") travel speeds and trip costs.",null,null,null,null,null,null,null,"Click here to go to discussion in this tab.","Click here to go to section of Motor Vs worksheet in which these calculations are performed.",null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"C. Apply applicable toll for each trip type and time period, calculate average increase in trip cost, and estimate reduction in number of trips due to price impact.",null,null,null,null,null,null,null,"Click here to go to discussion in this tab.","Click here to go to section of Motor Vs worksheet in which these calculations are performed.",null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"D. Incorporate simultaneous and overlapping effects of (i) \"time-switching\" between periods (in response to time-varied tolls, if applicable), (ii) \"attraction\" or \"attrition\" of trips to or from subways, in response to possible changes in subway pricing and service, and (iii) ditto from taxi service.",null,null,null,null,null,null,null,"Click here to go to discussion in this tab.","Click here to go to section of Motor Vs worksheet in which these calculations are performed.",null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"E. Take calculated reduction in trip volumes through a series of iterations reflecting \"rebound effect\" by which lighter traffic stimulates greater use of roads due to improvement in travel times, which then dampens travel due to increase in traffic.",null,null,null,null,null,null,null,"Click here to go to discussion in this tab.","Click here to go to section of Motor Vs worksheet in which these calculations are performed.",null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"A. Baseline traffic volumes into, within and out of Manhattan CBD, separated into trip types and periods",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"To begin, note that the familiar figure of 800,000 to 850,000 cars entering the Manhattan Central Business District on a typical weekday may no longer apply. More fundamentally, it isn't a useful basis for the BTA's method of estimating toll revenues or trip reductions to be generated by tolling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,{"$f":"CONCATENATE(\"First, the 800,000-850,000 level that applied for much of the 1990s and into the 2000s has receded with the economic slowdown. The most recent figure, from 2010, is approximately \",ROUND('Hub-Bound'!E86,-3)/1000, \",000, as derived and sourced in the 'Hub-Bound' worksheet tab.\")","v":"First, the 800,000-850,000 level that applied for much of the 1990s and into the 2000s has receded with the economic slowdown. The most recent figure, from 2010, is approximately 709,000, as derived and sourced in the 'Hub-Bound' worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Second, many of these trips are the return legs of \"through-trips\" ― trips that cross into the CBD twice. Because the BTA architecture calculates trip attrition based on the extent to which the daily toll raises the total trip cost, through-trips are treated differently from ordinary trips that enter the CBD just once.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Third, a goodly number of these CBD entries are by medallion taxicabs. Though at present (2014) there are only 13,237 medallion taxis, the typical cab leaves (and enters or re-enters) the CBD roughly five times per 24 hours. Because the economics of taxi trips differ from those of private autos, it's necessary to treat taxi entries to the CBD separately. (Differential treatment is even more critical if different congestion charges are proposed for taxis.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,{"$f":"CONCATENATE(\"Subdivision of the \",ROUND('Hub-Bound'!E86,-3)/1000, \",000, CBD entries is done in Rows \",'Motor Vs'!O33, \"-\",'Motor Vs'!O92, \" of the 'Motor Vs' worksheet tab. Here are the results:\")","v":"Subdivision of the 709,000, CBD entries is done in Rows 33-92 of the 'Motor Vs' worksheet tab. Here are the results:"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,"Auto Trips that are primarily for Work","Auto Trips that are primarily not for Work","Medallion Taxicabs","Trucks","Buses","Total",null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Trips that enter the CBD at least once",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Trips that aren't part of a through-trip",null,null,{"$f":"ROUND('Motor Vs'!I76,-2)","v":225700},{"$f":"ROUND('Motor Vs'!J76,-2)","v":158700},{"$f":"'Motor Vs'!L76","v":32900},{"$f":"'Motor Vs'!M76","v":33726},{"$f":"'Motor Vs'!N76","v":54900},{"$f":"SUM(E52:I52)","v":505926},null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Additional trips that include 1 or 2 through-trips",null,null,{"$f":"ROUND('Motor Vs'!I77,-2)","v":59000},{"$f":"ROUND('Motor Vs'!J77,-2)","v":41500},{"$f":"'Motor Vs'!L77","v":0},{"$f":"'Motor Vs'!M77","v":6930},{"$f":"ROUND('Motor Vs'!N77,-1)","v":0},{"$f":"SUM(E53:I53)","v":107430},null,null,null,null,{"$f":"ROW()","v":53}]
[null,"All trips ",null,null,{"$f":"E52+E53","v":284700},{"$f":"F52+F53","v":200200},{"$f":"G52+G53","v":32900},{"$f":"H52+H53","v":40656},{"$f":"I52+I53","v":54900},{"$f":"ROUND(J52+J53,-2)","v":613400},null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Note that the total number of trips entering the CBD on a weekday, approximately \",ROUND((J54)/1000,0),\",000, is more than \",ROUNDDOWN(('Hub-Bound'!E86-J54)/10000,0),   \"0,000 below the total CBD entries of \",ROUND(('Hub-Bound'!E86)/1000,0), \",000, and even further below the commonly cited figure of 800,000-850,000. Moreover, the combined number of auto trips of approximately \",ROUND((E54+F54)/1000,0), \",000 (arrived at by summing the first two figures in Row \",O54, \"), is smaller still.\")","v":"Note that the total number of trips entering the CBD on a weekday, approximately 613,000, is more than 90,000 below the total CBD entries of 709,000, and even further below the commonly cited figure of 800,000-850,000. Moreover, the combined number of auto trips of approximately 485,000 (arrived at by summing the first two figures in Row 54), is smaller still."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Mathematically, those \",ROUNDDOWN(('Hub-Bound'!E86-J54)/10000,0),\"0,000 ostensibly 'missing' trips (actually, \",ROUNDDOWN(('Hub-Bound'!E86-J54)/1000,0),\",000) are the multiplicative product of the number of trips that include at least one through-trip, some \",ROUND((J53/1000),0),\",000, which is shown in Cell J\",O53,\", and \",'Motor Vs'!I57*100, \"%, which is our estimate of the share of through-trips that return through the CBD. (We assume that \",(1-'Motor Vs'!I57)*100, \"% of through-trips loop around the CBD on their return, and thus pay one toll, not two.)\")","v":"Mathematically, those 90,000 ostensibly 'missing' trips (actually, 96,000) are the multiplicative product of the number of trips that include at least one through-trip, some 107,000, which is shown in Cell J53, and 80%, which is our estimate of the share of through-trips that return through the CBD. (We assume that 20% of through-trips loop around the CBD on their return, and thus pay one toll, not two.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"We point to these differences to underscore both the fine-grained nature and the conservatism of our process for specifying baseline levels of trips entering the CBD and, thus, subject to tolling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"B. For each of the 42 subdivisions, specify and/or calculate current (\"baseline\") travel speeds and trip costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"The next section of the Motor Vs worksheet begins by dividing the 24-hour trip volumes into seven component time periods. These divisions differ by trip type, i.e., the hour-by-hour pattern of auto work trips differs from that of auto non-work trips, and both differ from that of trucks, etc. The underlying data and mathematical manipulations for this step are presented in the Weekday Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Next step is to estimate baseline speeds for each time period, both within the CBD and averaged across the non-CBD region from which CBD-bound trips originate. We employ separate speed-volume relationships for the two sectors. For each -- CBD and non-CBD -- the math assigns speeds to each time period such that (i) the relative speeds for the time periods are consistent with their relative traffic volumes, and (ii) the weighted average speed for all time periods equals the 24-hour (or 8am-6pm) average speed obtained from authoritative sources.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Then comes specification/calculation of baseline costs for a typical round-trip to and from the CBD. There are 42 sets of costs, corresponding to the 6 trip types and 7 time periods. For each, we estimate fuel costs (these differ not only because of varying distances and vehicle types, but because the speeds for the various time periods affect engine fuel-efficiency); parking costs; tolls currently in effect; and miscellaneous costs for incremental maintenance and insurance.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"C. Apply applicable toll for each trip type and time period, calculate average increase in trip cost, and estimate reduction in number of trips due to price impact.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"With the baseline cost established for each of the 42 trip vectors (combinations of trip type and period), the BTA then \"increments\" that cost by the applicable toll. That is a function of (i) trip type (e.g., trucks pay more), (ii) time period, since the toll being examined might vary by time of day, and (iii) adjustments required to reflect factors like harmonization with existing TBTA and PANYNJ tolls.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"The payoff from the preceding four steps is the set of 42 numbers in Row \",'Motor Vs'!O364, \" of the 'Motor Vs' worksheet. Each is the ratio of the trip cost with the new toll, to the baseline trip cost without the toll. Each ratio gives rise to \" & \"the predicted contraction in the number of trips of each type.\")","v":"The payoff from the preceding four steps is the set of 42 numbers in Row 364 of the 'Motor Vs' worksheet. Each is the ratio of the trip cost with the new toll, to the baseline trip cost without the toll. Each ratio gives rise to the predicted contraction in the number of trips of each type."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,{"$f":"CONCATENATE(\"This is done by applying the price-elasticity for each trip type (auto trips for work, auto trips for non-work, etc.) to the ratio of the 'new' trip cost (with the toll) to the baseline cost. The application is done \" & \"mathematically by raising the trip-cost ratio to an exponent equal to the applicable price-elasticity. (For a slightly more detailed explanation, with a numerical example, see the text box in Rows \",Elasticities!O54, \"-\",Elasticities!O58, \" of the 'Elasticities' worksheet.\")","v":"This is done by applying the price-elasticity for each trip type (auto trips for work, auto trips for non-work, etc.) to the ratio of the 'new' trip cost (with the toll) to the baseline cost. The application is done mathematically by raising the trip-cost ratio to an exponent equal to the applicable price-elasticity. (For a slightly more detailed explanation, with a numerical example, see the text box in Rows 54-58 of the 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"D. Incorporate simultaneous and overlapping effects of (i) \"time-switching\" between periods (in response to time-varied tolls, if applicable), (ii) \"attraction\" or \"attrition\" of trips to or from subways, in response to possible changes in subway pricing and service, and (iii) ditto from taxi service.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Time-Switching\nIf the proposed tolls vary by time period, some trips during high-peak periods will be incentivized to switch to lower-toll periods. The methodology for estimating the extent of period-switching is fairly complex. We devote an entire worksheet tab, Travel-Time Switching, to describing it. The calculations are carried out in the Motor Vs worksheet (and, for weekends and holidays, in Motor Vs Weekends).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Subway Attraction\nThe travel mode that competes most directly with private autos for trips into the CBD is the subway. If, as expected, some congestion pricing revenues are devoted to improving subway service, the resulting improvements would be expected to \"attract\" some auto trips into the subways; and similarly for fare reductions, though those are less likely. This part of the Motor Vs tab models the interactivity between auto and subway trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Taxi Attrition\nThe other major competing mode for CBD trips, though lagging far behind subways, is yellow (medallion) taxis. If a congestion charge on autos entering the CBD is accompanied by increased charges on medallion taxis, some (albeit a small amount) of the reduction in taxi trips would be expected to materialize as increased auto trips into the CBD. This part of the BTA handles that phenomenon.(Note that the BTA handles the reverse phenomenon ― an uptick in taxi trips ― in the Taxis worksheet.) ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"The remaining parts of this section recalculate the VMT (vehicle miles traveled) both within and outside the CBD that result from the foregoing changes in the number of trips. The VMT figures give rise to \"new\" travel speeds and new trip durations for trips entering, leaving and within the CBD. Those changed trip durations help determine the rebound effect, treated in the next section.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"E. Take calculated reduction in trip volumes through a series of iterations reflecting \"rebound effect\" by which lighter traffic stimulates greater use of roads due to improvement in travel times, which then dampens travel due to increase in traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Tolls thin the traffic stream. But a reduced traffic stream improves travel speeds, which invites more auto trips since they can be accomplished faster. This is the \"rebound effect\" as it applies to traffic pricing. The BTA is dotted with mentions of this phenomenon. The second half of the gargantuan Motor Vs worksheet is devoted to modeling it.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Tolls thin the traffic stream. But a reduced traffic stream improves travel speeds, which invites more auto trips since they can be accomplished faster. This is the \"rebound effect\" as it applies to traffic pricing. The BTA is dotted with mentions of this phenomenon. The second half of the gargantuan Motor Vs worksheet is devoted to modeling it.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Each iteration requires 'only' \",'Motor Vs'!O736-'Motor Vs'!O688,\" rows (the first, with one-time explanatory lines, requires somewhat more. But with nine iterations, to ensure that the pendulum swings between \"&\"successive iterations shrink to the vanishing point, this section requires more than \",ROUND(('Motor Vs'!O736-'Motor Vs'!O688)*9,-2),\" rows.\")","v":"Each iteration requires 'only' 48 rows (the first, with one-time explanatory lines, requires somewhat more. But with nine iterations, to ensure that the pendulum swings between successive iterations shrink to the vanishing point, this section requires more than 400 rows."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"The pendulum swings referred to in the previous paragraph are oscillations between increases in trips (due to the thinning of the traffic stream in the previous iteration) and decreases in trips (due to the increases just noted). That is, there is a series of rebounds, with positive ones alternating with negatives, that decrease in absolute value and ultimately converge to zero.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]

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[null,"Motor Vs (Vehicles)",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,"This worksheet has 68 columns and extends to Column BP. \nA flow-chart diagram is included below.\nSee next worksheet tab (Data Flow) for further explanation."]
[null,"Worksheet Concept\nThis worksheet is the main engine of the BTA. A quick guide: \nMotor vehicle traffic is divided into six groups, each with its own defining characteristics, e.g., price-sensitivity, fuel and parking costs:\n(1) auto trips for work purposes                                                                            (2) auto trips for non-work purposes\n(3) \"through-trips\" that pass through the CBD charging zone                                (4) medallion taxi trips\n(5) truck and bus trips (combined)                                                                         (6) Uber/Lyft (and other app-based for-hire vehicle) trips.\nTrips in each group are subdivided into seven periods accounting for all 24 hours of a typical weekday. (Saturdays, Sundays and Holidays are covered in a parallel worksheet, Motor Vs Weekends.) Each period is assigned its own toll rate (selected in Policy Levers worksheet). Toll-caused changes in the number of vehicle entries into the CBD (due to trip elimination and/or time-switching) are estimated using elasticity values (compiled in Elasticities worksheet). The reductions in traffic volumes and consequent higher travel speeds \"re-attract\" some trips, but these in turn cause a partial return of traffic congestion which then provokes reductions in traffic volumes. The worksheet iterates this process until the oscillations become minimal.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Cell entries in skinny column to right are reference \"markers\" used to identify row numbers to aid in explaining formulae. Feel free to ignore them.",{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Worksheet Architecture\nThere are seven \"column blocks\":\nThis summary one (Columns B through N) aggregates the six subsequent blocks\nAuto Work Trips in columns P-W\nAuto Non-Work Trips in columns Y-AF\nAuto Through-Trips in columns AH-AO\nMedallion Taxi Trips in columns AQ-AX\nTruck and Bus Trips in columns AZ-BG\nUber/Lyft Trips in columns BI-BP.\nEach block has eight columns -- seven for the different time periods, and a totals column. In most rows, the trip blocks feed data (e.g., number of vehicles entering the cordon in each period) to the summary block. In some rows, however, the summary column block sends data (e.g., traffic speeds) to the six trip blocks. There are over 1,000 rows, but the basic \"action\" takes place within the first several hundred; all subsequent rows simply carry out the traffic iteration noted in the previous paragraph, except for the summary results that occupy the last section (from approximately Row 930 onward).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Note: Truck toll is set in Policy Levers worksheet to be a constant multiple of auto toll. That figure is a \"proxy\" for the ratio of the average truck toll to the car toll, since truck tolls will be graduated with the number of axles. Below, we show the toll schedule for autos and the various truck sizes for the major crossings of the MTA Bridges & Tunnels. As the table makes clear, MTA truck tolls as a multiple of auto tolls range from around two to around seven (w/ E-ZPass) or eight (without)."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trucks & Non-Franchise Buses"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Toll charged each direction",null,"Truck Toll, Ratio to Auto Toll"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cash","E-ZPass","Cash","E-ZPass"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Autos",8,5.76]
[null,"All trip and VMT numbers are vehicles w/o regard to number of passengers. ",null,null,null,null,null,null,"Trip figures in this section are one-half of combined trips into and out of CBD.",null,null,null,null,null,{"$f":"ROW()","v":27},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"2 Axle",17,10.4,{"$f":"BA27/BA$26","v":2.125},1.8055555555555556]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3 Axle",28,17.05,3.5,2.9600694444444446,"Rob't F. Kennedy Br. (Triboro)"]
[null,"A. Current (\"baseline\") weekday motor-traffic volumes into, within and out of the Manhattan CBD, separated into trip types: (1) auto trips for work purposes, (2) auto trips for non-work purposes, (3) \"through-trips\" that pass through the charging zone, (4) medallion taxi trips, (5) truck and bus trips (which we combined in late 2017, to make room for (6) Uber/Lyft trips).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"4 Axle",35,21.79,4.375,3.7829861111111112,"Bronx-Whitestone Bridge"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"5 Axle (18-whlr)",46,28.4,5.75,4.9305555555555554,"Throgs Neck Bridge"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"6 Axle",53,33.14,6.625,5.7534722222222223,"Brooklyn-Battery Tunnel"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"7 Axle",66,39.76,8.25,6.9027777777777777,"Queens Midtown Tunnel"]
[null,"Breakout of m.v. trips into, within, and out of the Manhattan CBD",null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":33},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Per Addit'l Axle",10,6.64]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell N\",O35, \" is subsumed in Cell I\",O35, \", making fig below sum of Cells I\",O35, \" and M\",O35, \".\")","v":"Cell N35 is subsumed in Cell I35, making fig below sum of Cells I35 and M35."},"Fig. underneath includes Uber/Lyft. Apologies for unclear config.",null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Daily motor vehicle trips into \"Hub\" as defined by NYMTC",null,null,null,null,null,{"$f":"ROUND(0.5*'Hub-Bound'!O86,-2)","v":715800},{"$f":"H35-M35","v":669600},null,null,null,{"$f":"35000+ROUND(0.5*'Hub-Bound'!N86,-2)","v":46200},{"$f":"ROUND(UberLyft!L475,-2)","v":54900},{"$f":"ROW()","v":35},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source: http://web.mta.info/bandt/traffic/btmain.html, accessed 6 Nov 2017.",null,null,null,null,"(downloaded 2-Jan-2010)"]
[null,{"$f":"CONCATENATE(\"Total is from draft NYMTC 2016 data in 'Hub-Bound' worksheet. Ditto, Bus figure (w/i Truck/Bus). They are calculated as 1/2 of combined entries and departures in Row \",'Hub-Bound'!R86, \" of that page. Truck figure of 35,000 w/i Truck/Bus is Komanoff estimate; it was reduced from 45,000 in prior versions. Figure for autos + thru + taxicab + UberLyft is difference between the other figures.\")","v":"Total is from draft NYMTC 2016 data in 'Hub-Bound' worksheet. Ditto, Bus figure (w/i Truck/Bus). They are calculated as 1/2 of combined entries and departures in Row 86 of that page. Truck figure of 35,000 w/i Truck/Bus is Komanoff estimate; it was reduced from 45,000 in prior versions. Figure for autos + thru + taxicab + UberLyft is difference between the other figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Medallion taxi trips require special treatment. For one thing, our analysis of baseline travel conditions indicates that each of the \",Taxis!L180, \" medallion taxicabs enters the CBD around \",ROUND(L44/Taxis!L180,0), \" times per weekday, on average (producing the estimated \",L44, \" cordon-entering trips attributed to medallion taxis shown in Cell L\",$O44, \" of this worksheet).\")","v":"Medallion taxi trips require special treatment. For one thing, our analysis of baseline travel conditions indicates that each of the 13587 medallion taxicabs enters the CBD around 2 times per weekday, on average (producing the estimated 32900 cordon-entering trips attributed to medallion taxis shown in Cell L44 of this worksheet)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Trips by app-based for-hire vehicles (denoted as 'UberLyft') require special treatment. For one thing, our analysis of baseline travel \" & \"conditions indicates that each UberLyft vehicle enters the CBD around \",ROUND(N44/UberLyft!L326,0), \" times per weekday, on average (producing the estimated \",AD44, \" cordon-entering trips attributed to medallion taxis shown in Cell N\",$O44, \" of this worksheet).\")","v":"Trips by app-based for-hire vehicles (denoted as 'UberLyft') require special treatment. For one thing, our analysis of baseline travel conditions indicates that each UberLyft vehicle enters the CBD around 7 times per weekday, on average (producing the estimated  cordon-entering trips attributed to medallion taxis shown in Cell N44 of this worksheet)."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Franchise Buses"]
[null,"Daily motor vehicle cordon-crossing trips, i.e., trips into CBD",null,null,null,null,null,{"$f":"ROUND(0.5*'Hub-Bound'!O106,-2)","v":699300},{"$f":"H39-M39","v":653100},null,null,null,{"$f":"35000+ROUND(0.5*'Hub-Bound'!N106,-2)","v":46200},{"$f":"ROUND(UberLyft!L475,-2)","v":54900},{"$f":"ROW()","v":39},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ratio to autos"]
[null,{"$f":"CONCATENATE(\"Same as note in Row \",O36, \", except that total has been reduced by (one-half of) auto trips entering Manhattan via Queensboro Bridge upper roadway, which cross into Manhattan at 62nd Street, outside CBD. Source is Row \",'Hub-Bound'!R106, \" of 'Hub-Bound' worksheet. See text box in that worksheet, Rows \",'Hub-Bound'!R14, \"-\",'Hub-Bound'!R29, \", for complete explanation. Traffic and revenue impacts of possible tolling of those '62nd St' trips are treated in Rows \",O310, \"-\",O312, \". Note that the 'one-half' is to average outbound (which doesn't have the upper roadway flyover) with inbound (which does).\")","v":"Same as note in Row 36, except that total has been reduced by (one-half of) auto trips entering Manhattan via Queensboro Bridge upper roadway, which cross into Manhattan at 62nd Street, outside CBD. Source is Row 106 of 'Hub-Bound' worksheet. See text box in that worksheet, Rows 14-29, for complete explanation. Traffic and revenue impacts of possible tolling of those '62nd St' trips are treated in Rows 310-312. Note that the 'one-half' is to average outbound (which doesn't have the upper roadway flyover) with inbound (which does)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Also, medallion taxis cover far more ground within the CBD than other vehicles. Data reported in Rows \",Taxis!O683, \"-\",Taxis!O686, \" of the 'Taxis' worksheet indicate that the average medallion taxi logs more than \", ROUNDDOWN('Motor Vs'!L118/Taxis!L180/(2*'Motor Vs'!I99),-1), \" times as many miles driven within the CBD as the average private auto.\")","v":"Also, medallion taxis cover far more ground within the CBD than other vehicles. Data reported in Rows 683-686 of the 'Taxis' worksheet indicate that the average medallion taxi logs more than 10 times as many miles driven within the CBD as the average private auto."},null,null,null,null,null,null,null,null,"Franchise buses, however pay far less than per the schedule above:",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Also, FHV's cover far more ground within the CBD than other vehicles. Data reported in Rows \",Taxis!$O683, \"-\",Taxis!$O686, \" of the 'Taxis' worksheet indicate that the average medallion taxi logs more than \", ROUNDDOWN('Motor Vs'!$L118/Taxis!$L180/(2*'Motor Vs'!$I99),-1), \" times as many miles driven within the CBD as the average private auto. The same is true, albeit to a lesser extent, for app-based FHV's.\")","v":"Also, FHV's cover far more ground within the CBD than other vehicles. Data reported in Rows 683-686 of the 'Taxis' worksheet indicate that the average medallion taxi logs more than 10 times as many miles driven within the CBD as the average private auto. The same is true, albeit to a lesser extent, for app-based FHV's."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"2 Axle",null,null,null,"With E-Zpass (required).",4.17,{"$f":"BE41/BB26","v":0.72395833333333337}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3 Axle",null,null,null,null,4.95]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Taxis shown separately",null,null,null,null,null,{"$f":"H39","v":699300},{"$f":"I39-L44-N44","v":565300},null,null,{"$f":"ROUND(Taxis!L244,-2)","v":32900},{"$f":"M35","v":46200},{"$f":"ROUND(UberLyft!L475,-2)","v":54900},{"$f":"ROW()","v":44},null,"Note: Taxi and UberLyft trips are handled differently. See notes at top of their respective column-blocks."]
[null,{"$f":"CONCATENATE(\"Taxicab and UberLyft cordon entries are derived in 'Taxis' worksheet, Cell L\",Taxis!O244, \", and 'UberLyft' worksheet, Cell L\",UberLyft!O475, \". Combined-auto figure is all auto minus taxis and UberLyfts.\")","v":"Taxicab and UberLyft cordon entries are derived in 'Taxis' worksheet, Cell L244, and 'UberLyft' worksheet, Cell L475. Combined-auto figure is all auto minus taxis and UberLyfts."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"These special factors are accommodated via additional and/or special data elements beginning in Row \",$O402, \".\")","v":"These special factors are accommodated via additional and/or special data elements beginning in Row 402."},null,null,null,null,null,null,null,null,"Source:","major bridges/tunnels, from http://www.mta.info/bandt/traffic/btmain.htm :",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"These special factors are accommodated via additional and/or special data elements beginning in Row \",$O402, \".\")","v":"These special factors are accommodated via additional and/or special data elements beginning in Row 402."}]
[null,"Through-trip % of all entries",null,null,null,null,null,null,0.32,null,"N.A.",0,0.27,0,{"$f":"ROW()","v":46}]
[null,"Bruce Schaller, \"Necessity or Choice? Why People Drive in Manhattan\": \"One-third or more of drivers who enter the CBD are bound for non-CBD destinations.\" (p. 3) We reduced this slightly. ",null,null,null,null,null,null," (%'s show share of trips that are est'd to be parts of through-trips)",null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,"Truck % is assumed to be somewhat less than auto. FHV %'s are probably de minimis.",null,null,null,null,null,{"$f":"ROW()","v":48},{"$f":"P$130","v":"AUTO TRIPS FOR WORK"},null,null,null,null,null,null,null,null,{"$f":"Y$130","v":"AUTO TRIPS FOR NON-WORK"},null,null,null,null,null,null,null,null,{"$f":"AH$130","v":"THROUGH-TRIPS (AUTOS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"AQ$130","v":"TAXICABS (MEDALLION TAXIS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"AZ$130","v":"TRUCKS & BUSES"},null,null,null,null,null,null,null,null,{"$f":"BI$130","v":"UBERLYFT"}]
[null,"% of all entries that aren't part of a through-trip ",null,null,null,null,null,null,{"$f":"1-I46","v":0.67999999999999994},null,null,{"$f":"1-L46","v":1},{"$f":"1-M46","v":0.73},{"$f":"1-N46","v":1},{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"Complements of percentages in Row \",O46, \".\")","v":"Complements of percentages in Row 46."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Auto, Taxi, Truck, Bus & UberLyft Trips that aren't part of a through-trip",null,null,null,null,null,{"$f":"H44","v":699300},{"$f":"ROUND(I44*I49,-2)","v":384400},null,{"$f":"H51-I51-SUM(L51:N51)","v":193374},{"$f":"L44*L49","v":32900},{"$f":"M44*M49","v":33726},{"$f":"N44*N49","v":54900},{"$f":"ROW()","v":51}]
[null,{"$f":"CONCATENATE(\"Total is same as Row \",O44, \". Items are product of Row \",O44, \" and %'s in Row \",O49, \". Thru trips are remainder.\")","v":"Total is same as Row 44. Items are product of Row 44 and %'s in Row 49. Thru trips are remainder."},null,null,null,null,null,null,"Doesn't include through trips",null,"Thru Trips","Doesn't include through trips",null,null,{"$f":"ROW()","v":52}]
[null,"Percent of (non-taxi) auto trips that are work trips ",null,null,null,null,null,null,{"$f":"H.I.S.!G128","v":0.58708201873587496},null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"Derived in H.I.S. Worksheet, Row \",H.I.S.!Z136, \".\")","v":"Derived in H.I.S. Worksheet, Row 136."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Daily m.v. entries to cordon, with non-thru auto trips allocated to work/non-work",null,null,null,null,null,{"$f":"SUM(I55:N55)","v":699300},{"$f":"ROUND(I53*I51,-2)","v":225700},{"$f":"ROUND((1-I53)*I51,-2)","v":158700},{"$f":"K51","v":193374},{"$f":"L51","v":32900},{"$f":"M51","v":33726},{"$f":"N51","v":54900},{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Auto work and non-work multiply Cell I\",O53, \" or its complement by Cell I\",O51, \".\")","v":"Auto work and non-work multiply Cell I53 or its complement by Cell I51."},null,null,null,null,null,null,"Doesn't include through trips",null,"Thru Trips","Doesn't include through trips",null,null,{"$f":"ROW()","v":56}]
[null,"% of through-trips that return through cordon",null,null,null,null,null,null,0.8,null,null,1,{"$f":"I57","v":0.8},0.9,{"$f":"ROW()","v":57}]
[null,"Komanoff assumption, premised on through-trips' lesser propensity than non-through trips to follow the same routes, due to greater mileage and wider geographical scope.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"% of through-trip segments that are part of a round-trip that goes thru cordon twice",null,null,null,null,null,null,{"$f":"I57/(100%-(100%-I57)/2)","v":0.88888888888888895},null,null,{"$f":"L57/(100%-(100%-L57)/2)","v":1},{"$f":"M57/(100%-(100%-M57)/2)","v":0.88888888888888895},{"$f":"N57/(100%-(100%-N57)/2)","v":0.94736842105263164},{"$f":"ROW()","v":59}]
[null,{"$f":"CONCATENATE(\"Explanation for figures in Row \",O59, \": If \",I57*100, \"% of auto through-trips return through cordon, then \",I57*100/2, \"% of all through-trips are the start of a round-trip through cordon that returns through cordon, and another \",I57*100/2, \"% are the end of such a trip. Then for each \",I57*100/2, \" through-cordon round-trips (w/ \",I57*100, \" one-way segments, all through the cordon), there must be \",50-I57*100/2, \" through-cordon trips (the difference between 50 and \",I57*100/2, \"), that return w/o passing through the cordon. Then, \",I57*100, \" out of every \",I57*100+(50-I57*100/2), \" one-way segments through cordon were part of a round-trip through cordon.\")","v":"Explanation for figures in Row 59: If 80% of auto through-trips return through cordon, then 40% of all through-trips are the start of a round-trip through cordon that returns through cordon, and another 40% are the end of such a trip. Then for each 40 through-cordon round-trips (w/ 80 one-way segments, all through the cordon), there must be 10 through-cordon trips (the difference between 50 and 40), that return w/o passing through the cordon. Then, 80 out of every 90 one-way segments through cordon were part of a round-trip through cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Trips that pass through cordon, distrib'd among auto, taxi, Uber/Lyft, truck/bus",null,null,null,null,null,{"$f":"SUM(I63:N63)","v":193374},{"$f":"K51-SUM(L63:N63)","v":180900},null,null,{"$f":"L44*L46","v":0},{"$f":"M44*M46","v":12474},{"$f":"N44*N46","v":0},{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Taxi, truck, bus figures are products of percents in Row \",O46, \" and entries in Row \",O44, \". Combined auto figure is difference between sum of those figures and figure in Cell K\",O51, \".\")","v":"Taxi, truck, bus figures are products of percents in Row 46 and entries in Row 44. Combined auto figure is difference between sum of those figures and figure in Cell K51."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"# of above through-trip segments that are part of a round-trip that goes thru cordon twice",null,null,null,null,null,null,{"$f":"I59*I63","v":160800},null,null,{"$f":"L59*L63","v":0},{"$f":"M59*M63","v":11088},{"$f":"N59*N63","v":0},{"$f":"ROW()","v":65}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O59, \" and \",O63, \".\")","v":"Product of Rows 59 and 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"# of round-trips that go through cordon both times",null,null,null,null,null,null,{"$f":"I65/2","v":80400},null,null,{"$f":"L65/2","v":0},{"$f":"M65/2","v":5544},{"$f":"N65/2","v":0},{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"One-half of Row \",O65, \".\")","v":"One-half of Row 65."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"# of cordon-crossing through trips that go through cordon only once",null,null,null,null,null,null,{"$f":"I63-I65","v":20100},null,null,{"$f":"L63-L65","v":0},{"$f":"M63-M65","v":1386},{"$f":"N63-N65","v":0},{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O63, \" and \",O65, \". Could also be calculated as product of Row \",O63, \" and complements of Row \",O59, \".\")","v":"Difference between Rows 63 and 65. Could also be calculated as product of Row 63 and complements of Row 59."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"No. drivers taking thru-trips (i.e., # of cordon-x'ing trips that include at least one thru-trip)",null,null,null,null,null,null,{"$f":"I67+I69","v":100500},null,{"$f":"CONCATENATE(\"Ratio of Cell I\",O71, \" to I\",O51, \".\")","v":"Ratio of Cell I71 to I51."},{"$f":"L67+L69","v":0},{"$f":"M67+M69","v":6930},{"$f":"N67+N69","v":0},{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O67, \" and \",O69, \". Could also be calculated as \",O63, \" divided by sum of 1 and percentage in Row \",O57, \".\")","v":"Sum of Rows 67 and 69. Could also be calculated as 63 divided by sum of 1 and percentage in Row 57."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Drivers of auto thru-trips allocated between work and non-work",null,null,null,null,null,null,{"$f":"I53*$I$71","v":59001.742882955434},{"$f":"(1-I53)*$I$71","v":41498.257117044566},{"$f":"I71/I51","v":0.26144640998959418},"Percent by which auto through-trips add to auto trips w/ CBD destination",null,null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"Assumes same split as shown in Cell I\",O53, \". Thus, auto work and non-work multiply Cell I\",O53, \" or its complement by Cell I\",O71, \".\")","v":"Assumes same split as shown in Cell I53. Thus, auto work and non-work multiply Cell I53 or its complement by Cell I71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74},null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"}]
[null,"Complete breakout of trips ",null,null,null,"How items in row calc'd",null,{"$f":"H33","v":"Total"},"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":75}]
[null,"Trips that aren't part of a through-trip",null,null,null,{"$f":"CONCATENATE(\"From Row \",O55, \".\")","v":"From Row 55."},null,{"$f":"SUM(I76:N76)","v":505926},{"$f":"I55","v":225700},{"$f":"J55","v":158700},null,{"$f":"L55","v":32900},{"$f":"M55","v":33726},{"$f":"N55","v":54900},{"$f":"ROW()","v":76}]
[null,"Trips that include 1 or 2 through-trips",null,null,null,{"$f":"CONCATENATE(\"From Rows \",O73, \" and \",O71, \".\")","v":"From Rows 73 and 71."},null,{"$f":"SUM(I77:N77)","v":107430},{"$f":"I73","v":59001.742882955434},{"$f":"J73","v":41498.257117044566},null,{"$f":"L71","v":0},{"$f":"M71","v":6930},{"$f":"N71","v":0},{"$f":"ROW()","v":77}]
[null,"Cordon-crossing trips that are part of through-trips",null,null,null,{"$f":"CONCATENATE(\"Row \",O77, \" x (1+Row \",O57, \").\")","v":"Row 77 x (1+Row 57)."},null,{"$f":"SUM(I78:N78)","v":193374},{"$f":"I77*(1+I57)","v":106203.13718931978},{"$f":"J77*(1+I57)","v":74696.862810680221},null,{"$f":"L77*(1+L57)","v":0},{"$f":"M77*(1+M57)","v":12474},{"$f":"N77*(1+N57)","v":0},{"$f":"ROW()","v":78}]
[null,"Cordon-crossing trips",null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O76, \" and \",O78, \".\")","v":"Sum of Rows 76 and 78."},null,{"$f":"SUM(I79:N79)","v":699300},{"$f":"I76+I78","v":331903.13718931976},{"$f":"J76+J78","v":233396.86281068024},null,{"$f":"L76+L78","v":32900},{"$f":"M76+M78","v":46200},{"$f":"N76+N78","v":54900},{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,{"$f":"H75","v":"Total"},{"$f":"I75","v":"Auto Work"},{"$f":"J75","v":"Auto Non-Wk"},"Auto Thru",{"$f":"L75","v":"Taxicab"},{"$f":"M75","v":"Truck/Bus"},{"$f":"N75","v":"Uber/Lyft"},{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,"Includes no thru-trips; only trips to cordon and back","Includes no thru-trips; only trips to cordon and back","Includes only thru-trips by auto, both 2-way and \"loop\" trips","Medallion taxicabs only; any thru-trips are de minimis","Includes thru-trips along with trips to cordon and back","Uber/Lyft only; any thru-trips are de minimis",{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Must match # in Cell N\",O139, \".\")","v":"Must match # in Cell N139."},null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,{"$f":"CONCATENATE(\"Auto work, non-work and taxi are copied from Row \",O55,\". Auto thru is copied from Cell I\",O71,\". Truck and bus are sums of Rows \",O55, \" and \",O71, \".\")","v":"Auto work, non-work and taxi are copied from Row 55. Auto thru is copied from Cell I71. Truck and bus are sums of Rows 55 and 71."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"No. trips",null,null,null,null,null,{"$f":"SUM(I85:N85)","v":613400},{"$f":"I55","v":225700},{"$f":"J55","v":158700},{"$f":"I71","v":100500},{"$f":"L55","v":32900},{"$f":"ROUND(M55+M71,-2)","v":40700},{"$f":"ROUND(N55+N71,-2)","v":54900},{"$f":"ROW()","v":85}]
[null,"Cells in these three rows, to right, calculate or display ratios that will be used in this or other worksheets.",null,null,null,{"$f":"CONCATENATE(\"Schaller's 'Necessity or Choice' says 270,000 workers drive to CBD (p. 54). Equates to fig. in box if occupancy rate for CBD auto-work trips is \",ROUND(270000/I85,2),\". We assume \",H.I.S.!G125, \".\")","v":"Schaller's 'Necessity or Choice' says 270,000 workers drive to CBD (p. 54). Equates to fig. in box if occupancy rate for CBD auto-work trips is 1.2. We assume 1.15."},null,null,null,null,"% = work:",null,"% = thru:","% = thru:",{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"I53","v":0.58708201873587496},null,{"$f":"M71/M85","v":0.17027027027027028},{"$f":"N71/N85","v":0},{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From Row \",O53, \".\")","v":"From Row 53."},null,{"$f":"CONCATENATE(\"Ratio of Rows \",O71, \" and \",O85, \".\")","v":"Ratio of Rows 71 and 85."},null,{"$f":"ROW()","v":88}]
[null,"Baseline reduxn (or incrs) of trips by user-specified amount ",null,null,null,null,{"$f":"'Policy Levers'!K259","v":0},{"$f":"SUM(I89:N89)","v":0},{"$f":"I76*$G$89","v":0},{"$f":"J76*$G$89","v":0},{"$f":"K85*$G$89","v":0},{"$f":"L76*$G$89","v":0},{"$f":"M76*$G$89","v":0},{"$f":"N76*$G$89","v":0},{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O67, \" div by Row \",O85,\".\")","v":"Row 67 div by Row 85."},"% that cross cordon 2x",null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"M67/M85","v":0.13621621621621621},{"$f":"N67/N85","v":0},{"$f":"ROW()","v":91}]
[null,"Trip Distances for trips into cordon ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Non-CBD miles for average 1-way trip",null,null,null,null,null,null,{"$f":"Distances!$C$184","v":16.85690937641937},{"$f":"Distances!$C$184","v":16.85690937641937},{"$f":"$I$93*K95","v":25.285364064629057},6,{"$f":"$I$93*M95*M97","v":15.548220939020323},{"$f":"L93","v":6},{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Work and Non-work #'s are from 'Distances' tab, Row \",Distances!O$184, \". Taxicab # is from B. Ketcham, personal communication, 10-June-09. Other #'s multiply Work figure by factors in Rows \",O95,\" and \",O97,\".\")","v":"Work and Non-work #'s are from 'Distances' tab, Row 184. Taxicab # is from B. Ketcham, personal communication, 10-June-09. Other #'s multiply Work figure by factors in Rows 95 and 97."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Factors to estimate non-CBD miles for auto-thru trips, trucks and buses",null,null,null,null,null,null,null,null,1.5,null,0.85,null,{"$f":"ROW()","v":95}]
[null,"Komanoff ests. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Factors to further adjust non-CBD miles for any thru trips embedded in column (applies to trucks and buses)",null,null,null,null,null,null,null,null,null,null,{"$f":"$K$95*M87+1*(1-M87)","v":1.085135135135135},null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Weighted sum of thru-trip factor in Cell K\",O95, \" and thru-trip %'s in Row \",O87, \".\")","v":"Weighted sum of thru-trip factor in Cell K95 and thru-trip %'s in Row 87."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"CBD miles for average trip (one way)",null,null,null,null,null,null,1.25,1.25,{"$f":"2*I57","v":1.6},1.5,3,1.5,{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"Komanoff ests. Assume drivers choose CBD portal to minimize CBD miles. Auto thru-trip # factors 2.0 miles by % trips returning thru CBD, Cell I\",O57, \". Truck figure assumes some routing w/i CBD.\")","v":"Komanoff ests. Assume drivers choose CBD portal to minimize CBD miles. Auto thru-trip # factors 2.0 miles by % trips returning thru CBD, Cell I57. Truck figure assumes some routing w/i CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Total distance (one way)",null,null,null,null,null,null,{"$f":"I93+I99","v":18.10690937641937},{"$f":"J93+J99","v":18.10690937641937},{"$f":"K93+K99","v":26.885364064629059},{"$f":"L99+L93","v":7.5},{"$f":"M99+M93","v":18.548220939020325},{"$f":"N99+N93","v":7.5},{"$f":"ROW()","v":101}]
[null,"Total distances appear consistent with geographical breakdowns in Schaller (pp. 24 & 46). ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Note: VMT figures below slightly understate true traffic volumes in CBD, since the figures they draw on exclude roughly \",ROUND('Hub-Bound'!O95/1000,0), \",000 inbound trips that cross into CBD 'indirectly,' i.e., by breaching 60th St. cordon line after entering Manhattan \" & \"via QBB upper roadway, which enters Manhattan street system at 62nd St. The anomaly is small, however, since these account for only about \",ROUND(100*'Hub-Bound'!O95/'Hub-Bound'!O106,1), \"% of daily trips that cross in or out of the CBD.\")","v":"Note: VMT figures below slightly understate true traffic volumes in CBD, since the figures they draw on exclude roughly 12,000 inbound trips that cross into CBD 'indirectly,' i.e., by breaching 60th St. cordon line after entering Manhattan via QBB upper roadway, which enters Manhattan street system at 62nd St. The anomaly is small, however, since these account for only about 0.8% of daily trips that cross in or out of the CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"}]
[null,null,null,null,null,null,null,{"$f":"H33","v":"Total"},"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":107}]
[null,"Daily weekday cordon VMT of m.v. trips into and out of cordon",null,null,null,null,null,{"$f":"SUM(I108:N108)","v":1757275},{"$f":"2*I85*I99","v":564250},{"$f":"2*J85*J99","v":396750},{"$f":"2*K85*K99","v":321600},{"$f":"(1+Taxis!$L$228)*L85*L99","v":86362.5},{"$f":"2*M85*M99","v":244200},{"$f":"(1+Taxis!$L$228)*N85*N99","v":144112.5},{"$f":"ROW()","v":108}]
[null,"Calculated as product of cordon entries times cordon miles per entry. All figures are doubled to account for return journeys, except that taxicabs use an outgoing-trip factor less than one (see Taxis).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Percentage breakdown",null,null,null,null,null,{"$f":"SUM(I110:N110)","v":1},{"$f":"I108/$H$108","v":0.32109373888549031},0.22577570385966908,0.18301062724957676,4.9145694327865586E-2,0.1389651591242122,8.2009076553186039E-2,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Estimated daily weekday VMT of all m.v. trips occuring entirely within cordon (i.e., trips that don't cross cordon)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Additional intra-cordon VMT, as a percentage of crossing-cordon VMT ",null,null,null,null,null,null,{"$f":"1/7","v":0.14285714285714285},{"$f":"I113","v":0.14285714285714285},0,"N.A.",0.2,"N.A.",{"$f":"ROW()","v":113}]
[null,"Komanoff ests. Note that 7 in 8 auto trips in CBD are either inbound or outbound, while 1 in 8 are intra-CBD trips (Schaller, \"Necessity or Choice,\" p. 25).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Intra-Cordon VMT",null,null,null,null,null,{"$f":"SUM(I115:N115)","v":1479469.7183148849},{"$f":"I$113*I108","v":80607.142857142855},{"$f":"J$113*J108","v":56678.571428571428},{"$f":"K$113*K108","v":0},{"$f":"L118-L108","v":553825.51435896545},{"$f":"M$113*M108","v":48840},{"$f":"N118-N108","v":739518.48967020516},{"$f":"ROW()","v":115}]
[null,{"$f":"CONCATENATE(\"Products of percentages in row \",O113, \" and miles in row \",O108, \", except taxicab figure is from Taxis worksheet, Row \",Taxis!O486, \", and UberLyft figure is from UberLyft worksheet, Row \",UberLyft!O556, \".\")","v":"Products of percentages in row 113 and miles in row 108, except taxicab figure is from Taxis worksheet, Row 486, and UberLyft figure is from UberLyft worksheet, Row 556."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Total weekday VMT inside cordon ",null,null,{"$f":"CONCATENATE(\"(sum of VMT's in rows \",O108,\" and \",O115,\")\")","v":"(sum of VMT's in rows 108 and 115)"},null,null,{"$f":"SUM(I118:N118)","v":3236744.7183148852},{"$f":"I108+I115","v":644857.14285714284},453428.57142857142,321600,{"$f":"Taxis!L107","v":640188.01435896545},293040,{"$f":"UberLyft!L251","v":883630.98967020516},{"$f":"ROW()","v":118}]
[null,"Categorized by type of vehicle and/or trip",null,null,null,null,null,{"$f":"SUM(I119:N119)","v":0.99999999999999989},{"$f":"I118/$H$118","v":0.1992301521983694},0.14008783851963325,9.9359086980276734E-2,0.19778761381350465,9.053540686784918E-2,0.27299990162036669,{"$f":"ROW()","v":119}]
[null,{"$f":"CONCATENATE(\"Row \",O119, \" indicates that non-taxicab autos account for \", ROUND(SUM(I119:K119), 2)*100, \"% of VMT within cordon, vs. \",ROUND(L119,2)*100, \"% for medallion taxis, \",ROUND(N119,2)*100, \"% for UberLyfts, and \",ROUND(M119,2)*100, \"% for trucks and buses combined. Schaller ('City in Flux,' p. 6) broke down midday Midtown VMT: 45% auto, 41% taxi + other for-hire, 8% commercial, 4% trucks, 2% buses.\")","v":"Row 119 indicates that non-taxicab autos account for 44% of VMT within cordon, vs. 20% for medallion taxis, 27% for UberLyfts, and 9% for trucks and buses combined. Schaller ('City in Flux,' p. 6) broke down midday Midtown VMT: 45% auto, 41% taxi + other for-hire, 8% commercial, 4% trucks, 2% buses."},null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell L\",$O118, \" is copied from 'Taxis' tab, Cell L\",Taxis!O107, \". Cell L\",$O115, \" is calc'd as delta btw Cells L\",$O118, \" and L\",$O108, \".\")","v":"Cell L118 is copied from 'Taxis' tab, Cell L107. Cell L115 is calc'd as delta btw Cells L118 and L108."},{"$f":"CONCATENATE(\"Cells L\",O118, \" & N\",O118, \" are close to ests in Schaller, 'Empty Seats': 695,545 & 802,135, resp'ly.\")","v":"Cells L118 & N118 are close to ests in Schaller, 'Empty Seats': 695,545 & 802,135, resp'ly."},{"$f":"CONCATENATE(\"Cell N\",$O118, \" is copied from 'UberLyft' tab, Cell L\",UberLyft!O251, \". Cell N\",$O115, \" is calc'd as delta btw Cells N\",$O118, \" and N\",$O108, \".\")","v":"Cell N118 is copied from 'UberLyft' tab, Cell L251. Cell N115 is calc'd as delta btw Cells N118 and N108."},{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Alt. est. of daily weekday VMT inside cordon (per NYMTC, 2005 )",null,null,null,null,null,{"$f":"VMT!L78","v":3338030},{"$f":"CONCATENATE(\"See 'VMT' tab, Row \",VMT!O78, \", for citation.\")","v":"See 'VMT' tab, Row 78, for citation."},null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,"VMT diff.","% excess",null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Amount (and %) by which \"constructed\" VMT exceeds alt (\"official\") VMT",null,null,null,null,null,{"$f":"H118-H122","v":-101285.28168511484},{"$f":"H124/H122","v":-3.0342831456012929E-2},null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"B. Baseline, cont'd: Our six trip types subdivided into seven different weekday time periods; current travel speeds and trip costs specified and/or calculated for each of the 42 subdivisions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,"ALL MOTOR VEHICLE TRIPS",null,null,null,null,null,null,null,{"$f":"ROW()","v":130},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Note: Tolls in charging periods may be varied (in Policy Levers worksheet), but make-up of the periods, i.e., hours in each, is fixed.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Premise is that inbounds follow shape for non-wk trips while outbounds follow shape for all trips."]
[null,null,null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":132},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":133},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Hours in period",null,null,null,null,6,1,3,1,4,6,3,{"$f":"SUM(G135:M135)","v":24},{"$f":"ROW()","v":135},6,1,3,1,4,6,3,{"$f":"SUM(P135:V135)","v":24},null,6,1,3,1,4,6,3,{"$f":"SUM(Y135:AE135)","v":24},null,6,1,3,1,4,6,3,{"$f":"SUM(AH135:AN135)","v":24},null,6,1,3,1,4,6,3,{"$f":"SUM(AQ135:AW135)","v":24},null,6,1,3,1,4,6,3,{"$f":"SUM(AZ135:BF135)","v":24},null,6,1,3,1,4,6,3,{"$f":"SUM(BI135:BO135)","v":24}]
[null,"Periods were drawn to group similar hourly volumes of vehicles entering CBD. See By Hours worksheet. Some reprogramming of By Hours is required to change.",null,null,null,null,null,null,null,null,null,null,"Through-trips that return through CBD are counted only once.",null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},"Inbounds follow shape for inbound work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound non-work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound through trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all UberLyft trips; outbounds follow that shape as well."]
[null,"1. Baseline Auto Cordon Crossings, inbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Daily cordon auto entries (figures are vehicles, not persons)",null,null,null,null,{"$f":"P139+Y139+AH139+AQ139+AZ139+BI139","v":57988.150027728931},{"$f":"Q139+Z139+AI139+AR139+BA139+BJ139","v":22558.102555129055},{"$f":"R139+AA139+AJ139+AS139+BB139+BK139","v":116421.5799746744},35208.90707473355,116924.75895072815,192138.60079629658,72159.900620709304,{"$f":"SUM(G139:M139)","v":613400},{"$f":"ROW()","v":139},{"$f":"$I$85*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))","v":8102.6193983509547},{"$f":"$I$85*'Weekday Hours'!T40","v":13307.396498819224},{"$f":"$I$85*SUM('Weekday Hours'!T41:T43)","v":71518.57223654339},{"$f":"$I$85*'Weekday Hours'!T44","v":17117.951319843243},{"$f":"$I$85*SUM('Weekday Hours'!T45:T48)","v":48386.165796810201},{"$f":"$I$85*SUM('Weekday Hours'!T49:T54)","v":52544.415279393434},{"$f":"$I$85*SUM('Weekday Hours'!T55:T57)","v":14722.879470239532},{"$f":"SUM(P139:V139)","v":225699.99999999997},null,{"$f":"$J$85*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))","v":17428.307705279964},{"$f":"$J$85*'Weekday Hours'!U40","v":1807.5101016746883},{"$f":"$J$85*SUM('Weekday Hours'!U41:U43)","v":12608.845592025515},{"$f":"$J$85*'Weekday Hours'!U44","v":7676.2431331302878},{"$f":"$J$85*SUM('Weekday Hours'!U45:U48)","v":30537.431934295273},{"$f":"$J$85*SUM('Weekday Hours'!U49:U54)","v":66972.380902113902},{"$f":"$J$85*SUM('Weekday Hours'!U55:U57)","v":21669.280631480386},{"$f":"SUM(Y139:AE139)","v":158700},null,{"$f":"$K$85*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":18002.945989096526},{"$f":"$K$85*'Weekday Hours'!V40","v":3942.3027483761189},{"$f":"$K$85*SUM('Weekday Hours'!V41:V43)","v":11917.858872778505},{"$f":"$K$85*'Weekday Hours'!V44","v":3510.8139867176706},{"$f":"$K$85*SUM('Weekday Hours'!V45:V48)","v":15637.475629387947},{"$f":"$K$85*SUM('Weekday Hours'!V49:V54)","v":31132.459724356926},{"$f":"$K$85*SUM('Weekday Hours'!V55:V57)","v":16356.143049286284},{"$f":"SUM(AH139:AN139)","v":100499.99999999999},null,{"$f":"$L$85*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":2954.3460248875253},{"$f":"$L$85*'Weekday Hours'!D40","v":1293.8911732137742},{"$f":"$L$85*SUM('Weekday Hours'!D41:D43)","v":6519.2069133737541},{"$f":"$L$85*'Weekday Hours'!D44","v":1920.4559357601381},{"$f":"$L$85*SUM('Weekday Hours'!D45:D48)","v":6415.4102879798047},{"$f":"$L$85*SUM('Weekday Hours'!D49:D54)","v":10217.889748414524},{"$f":"$L$85*SUM('Weekday Hours'!D55:D57)","v":3578.799916370479},{"$f":"SUM(AQ139:AW139)","v":32900},null,{"$f":"$M$85*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":3654.7684867149633},{"$f":"$M$85*'Weekday Hours'!D40","v":1600.6495668632404},{"$f":"$M$85*SUM('Weekday Hours'!D41:D43)","v":8064.7939627450396},{"$f":"$M$85*'Weekday Hours'!D44","v":2375.761598341569},{"$f":"$M$85*SUM('Weekday Hours'!D45:D48)","v":7936.3890188686346},{"$f":"$M$85*SUM('Weekday Hours'!D49:D54)","v":12640.368169011279},{"$f":"$M$85*SUM('Weekday Hours'!D55:D57)","v":4427.2691974552736},{"$f":"SUM(AZ139:BF139)","v":40700},null,{"$f":"UberLyft!F418*$N$85","v":7845.1624233989969},{"$f":"UberLyft!G418*$N$85","v":606.35246618200983},{"$f":"UberLyft!H418*$N$85","v":5792.3023972082001},{"$f":"UberLyft!I418*$N$85","v":2607.6811009406447},{"$f":"UberLyft!J418*$N$85","v":8011.8862833862886},{"$f":"UberLyft!K418*$N$85","v":18631.086973006506},{"$f":"UberLyft!L418*$N$85","v":11405.528355877348},{"$f":"SUM(BI139:BO139)","v":54900}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140},"Product of total auto work trips above, times percentages of total daily inbound work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times %'s of total daily inbound non-work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total thru-trips above, times %'s of daily thru-trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O139, \" period entries by medallion cabs are product of hourly entries in Row \",O142, \" and number of hours in period in Row \",O135, \".\")","v":"Row 139 period entries by medallion cabs are product of hourly entries in Row 142 and number of hours in period in Row 135."},null,null,null,null,null,null,null,null,"Uses same inbound %'s as auto work-trips; may want to modify to put more entries in a.m. periods, fewer in p.m.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O139, \" period entries by UberLyfts are product of period entries in 'UberLyft' tab, Row \",UberLyft!O418, \" and total daily UberLyft entries in Cell N\",O85, \".\")","v":"Row 139 period entries by UberLyfts are product of period entries in 'UberLyft' tab, Row 418 and total daily UberLyft entries in Cell N85."}]
[null,"%'s of daily auto crossings into cordon in respective periods",null,null,null,null,{"$f":"G139/$N$139","v":9.4535621173343548E-2},3.6775517696656435E-2,0.18979716331052235,5.7399587666667022E-2,0.19061747465068168,0.31323541049282128,0.11763922500930764,{"$f":"SUM(G141:M141)","v":1},{"$f":"ROW()","v":141},{"$f":"P139/$W139","v":3.5899953027695858E-2},5.8960551611959351E-2,0.31687448930679396,7.5843825076842022E-2,0.2143826574958361,0.23280644784844237,6.5232075632430372E-2,{"$f":"SUM(P141:V141)","v":1},null,{"$f":"Y139/$AF139","v":0.10981920419206026},{"$f":"Z139/$AF139","v":1.1389477641302383E-2},7.9450822886109107E-2,4.836952194789091E-2,0.19242238143853355,0.42200618085768055,0.13654241103642334,{"$f":"SUM(Y141:AE141)","v":1},null,{"$f":"AH139/$AO139","v":0.17913379093628387},3.9226893018667858E-2,0.11858566042565678,3.4933472504653444E-2,0.1555967724317209,0.30977571865031772,0.16274769203269937,{"$f":"SUM(AH141:AN141)","v":0.99999999999999989},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ139/$BG139","v":8.9797751516338162E-2},{"$f":"BA139/$BG139","v":3.9327999185829E-2},0.19815218581683144,5.8372520843773194E-2,0.19499727319087554,0.31057415648676362,0.10877811295958903,{"$f":"SUM(AZ141:BF141)","v":1},null,{"$f":"BI139/$BP139","v":0.14289913339524585},{"$f":"BJ139/$BP139","v":1.1044671515155006E-2},0.10550641889268124,4.7498745008026318E-2,0.14593599787588868,0.33936406143909847,0.20775097187390434,{"$f":"SUM(BI141:BO141)","v":0.99999999999999989}]
[null,"Hourly cordon entries (vehicles)",null,null,null,null,{"$f":"P142+Y142+AH142+AQ142+AZ142+BI142","v":9664.6916712881557},22558.102555129055,38807.193324891472,35208.90707473355,29231.189737682038,32023.100132716088,24053.300206903103,null,{"$f":"ROW()","v":142},{"$f":"P139/P135","v":1350.4365663918259},13307.396498819224,23839.524078847797,17117.951319843243,12096.54144920255,8757.4025465655723,4907.6264900798442,null,null,{"$f":"Y139/Y135","v":2904.7179508799941},1807.5101016746883,4202.9485306751712,7676.2431331302878,7634.3579835738183,11162.06348368565,7223.0935438267952,null,null,{"$f":"AH139/AH135","v":3000.4909981827545},3942.3027483761189,3972.6196242595015,3510.8139867176706,3909.3689073469868,5188.743287392821,5452.0476830954276,null,null,{"$f":"AQ139/AQ135","v":492.39100414792091},1293.8911732137742,2173.0689711245846,1920.4559357601381,1603.8525719949512,1702.9816247357539,1192.9333054568262,null,null,{"$f":"AZ139/AZ135","v":609.12808111916058},1600.6495668632404,2688.2646542483467,2375.761598341569,1984.0972547171586,2106.7280281685466,1475.7563991517579,null,null,{"$f":"BI139/BI135","v":1307.5270705664996},606.35246618200983,1930.7674657360667,2607.6811009406447,2002.9715708465721,3105.1811621677512,3801.8427852924492]
[null,{"$f":"CONCATENATE(\"Row \",O139, \" figures divided by Row \",O135, \" figures.\")","v":"Row 139 figures divided by Row 135 figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O142, \" hourly entries by UberLyfts are period entries in Row \",O139, \" divided by hours in period inrow \",O135, \".\")","v":"Row 142 hourly entries by UberLyfts are period entries in Row 139 divided by hours in period inrow 135."}]
[null,"Hourly cordon entries as % of maximum hourly cordon entries",null,null,null,null,{"$f":"G142/MAX($G142:$M142)","v":0.2490438200561412},0.58128662813293364,1,0.90727785387535531,0.75324153161400487,0.82518464720240481,0.6198155070254715,null,{"$f":"ROW()","v":144}]
[null,"These percentages will help estimate traffic speeds within respective periods, since speeds are essentially a function of traffic volumes (densities).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Cordon VMT from cordon entries ",null,null,null,null,{"$f":"P146+Y146+AH146+AQ146+AZ146+BI146","v":87881.940594667758},32853.631807702579,166889.49233626478,50529.535795041069,169124.57008455761,280402.50037502067,107418.32900674551,{"$f":"SUM(G146:M146)","v":895099.99999999988},{"$f":"ROW()","v":146},{"$f":"P139*$I$99","v":10128.274247938694},16634.245623524032,89398.215295679242,21397.439149804053,60482.707246012753,65680.519099241792,18403.599337799416,{"$f":"SUM(P146:V146)","v":282125},null,{"$f":"Y139*$J$99","v":21785.384631599954},2259.3876270933602,15761.056990031893,9595.3039164128604,38171.789917869093,83715.476127642381,27086.600789350483,{"$f":"SUM(Y146:AE146)","v":198375.00000000003},null,{"$f":"AH139*$K$99","v":28804.713582554443},6307.6843974017902,19068.574196445607,5617.3023787482734,25019.961007020716,49811.935558971083,26169.828878858054,{"$f":"SUM(AH146:AN146)","v":160800},null,{"$f":"AQ139*$L$99","v":4431.519037331288},1940.8367598206614,9778.8103700606316,2880.6839036402071,9623.1154319697071,15326.834622621785,5368.1998745557185,{"$f":"SUM(AQ146:AW146)","v":49350},null,{"$f":"AZ139*$M$99","v":10964.305460144889},4801.9487005897208,24194.381888235119,7127.2847950247069,23809.167056605904,37921.104507033837,13281.807592365822,{"$f":"SUM(AZ146:BF146)","v":122099.99999999999},null,{"$f":"BI139*$N$99","v":11767.743635098495},909.52869927301481,8688.4535958122997,3911.521651410967,12017.829425079433,27946.630459509761,17108.29253381602,{"$f":"SUM(BI146:BO146)","v":82350}]
[null,{"$f":"CONCATENATE(\"Daily cordon entries in Row \",O139,\" times Cordon VMT per entry in Row \",O99,\".\")","v":"Daily cordon entries in Row 139 times Cordon VMT per entry in Row 99."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":148}]
[null,"2. Baseline Auto Cordon Crossings, outbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Daily cordon auto return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"P150+Y150+AH150+AQ150+AZ150+BI150","v":71023.39713307214},14569.060054767047,82006.461839736832,27206.231212977167,107876.09472095083,222713.99327129667,88004.761767199307,{"$f":"SUM(G150:M150)","v":613400},{"$f":"ROW()","v":150},{"$f":"$I$85*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":26330.481395554849},{"$f":"$I$85*'Weekday Hours'!L40","v":5151.7534702170769},{"$f":"$I$85*SUM('Weekday Hours'!L41:L43)","v":28686.176094944731},{"$f":"$I$85*'Weekday Hours'!L44","v":9449.8586571249489},{"$f":"$I$85*SUM('Weekday Hours'!L45:L48)","v":39802.331905140491},{"$f":"$I$85*SUM('Weekday Hours'!L49:L54)","v":84352.244049414483},{"$f":"$I$85*SUM('Weekday Hours'!L55:L57)","v":31927.154427603407},{"$f":"SUM(P150:V150)","v":225700},null,{"$f":"$J$85*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":18514.166581632941},{"$f":"$J$85*'Weekday Hours'!L40","v":3622.4336540693407},{"$f":"$J$85*SUM('Weekday Hours'!L41:L43)","v":20170.563341903984},{"$f":"$J$85*'Weekday Hours'!L44","v":6644.6281297551141},{"$f":"$J$85*SUM('Weekday Hours'!L45:L48)","v":27986.84126427025},{"$f":"$J$85*SUM('Weekday Hours'!L49:L54)","v":59311.923485343723},{"$f":"$J$85*SUM('Weekday Hours'!L55:L57)","v":22449.443543024638},{"$f":"SUM(Y150:AE150)","v":158700},null,{"$f":"$K$85*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":11724.472220882863},{"$f":"$K$85*'Weekday Hours'!L40","v":2293.979724221605},{"$f":"$K$85*SUM('Weekday Hours'!L41:L43)","v":12773.419129561124},{"$f":"$K$85*'Weekday Hours'!L44","v":4207.8457910547513},{"$f":"$K$85*SUM('Weekday Hours'!L45:L48)","v":17723.235961305356},{"$f":"$K$85*SUM('Weekday Hours'!L49:L54)","v":37560.48084610614},{"$f":"$K$85*SUM('Weekday Hours'!L55:L57)","v":14216.566326868155},{"$f":"SUM(AH150:AN150)","v":100499.99999999999},null,{"$f":"AQ139","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ150:AW150)","v":32900},null,{"$f":"AZ139","v":3654.7684867149633},1600.6495668632404,8064.7939627450396,2375.761598341569,7936.3890188686346,12640.368169011279,4427.2691974552736,{"$f":"SUM(AZ150:BF150)","v":40700},null,{"$f":"BI139","v":7845.1624233989969},606.35246618200983,5792.3023972082001,2607.6811009406447,8011.8862833862886,18631.086973006506,11405.528355877348,{"$f":"SUM(BI150:BO150)","v":54900}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},"Product of total auto work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab outbound trips are assumed to follow same distribution as inbound.",null,null,null,null,null,null,null,null,"Uses same outbound %'s as autos; may want to modify to reflect possible tilt toward morning, esp'ly early morning, and away from evening",null,null,null,null,null,null,null,null,"UberLyft outbound trips are assumed to follow same distribution as inbound."]
[null,"%'s of daily auto return trips from cordon in respective periods",null,null,null,null,{"$f":"G150/$N$150","v":0.11578643158309772},2.3751320597924758E-2,0.13369165608043174,4.4353164677171777E-2,0.17586582119489866,0.36308117585799915,0.1434704300084762,{"$f":"SUM(G152:M152)","v":1},{"$f":"ROW()","v":152},{"$f":"P150/$W150","v":0.11666141513316282},2.2825668897727414E-2,0.12709869780657834,4.1869112348803493E-2,0.17635060658015281,0.37373612782195165,0.14145837141162343,{"$f":"SUM(P152:V152)","v":0.99999999999999989},null,{"$f":"Y150/$AF150","v":0.11666141513316283},{"$f":"Z150/$AF150","v":2.2825668897727414E-2},0.12709869780657834,4.1869112348803493E-2,0.17635060658015281,0.37373612782195165,0.14145837141162343,{"$f":"SUM(Y152:AE152)","v":1},null,{"$f":"AH150/$AO150","v":0.11666141513316283},2.2825668897727417E-2,0.12709869780657837,4.18691123488035E-2,0.17635060658015281,0.3737361278219517,0.14145837141162346,{"$f":"SUM(AH152:AN152)","v":1.0000000000000002},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ150/$BG150","v":8.9797751516338162E-2},{"$f":"BA150/$BG150","v":3.9327999185829E-2},0.19815218581683144,5.8372520843773194E-2,0.19499727319087554,0.31057415648676362,0.10877811295958903,{"$f":"SUM(AZ152:BF152)","v":1},null,{"$f":"BI150/$BP150","v":0.14289913339524585},{"$f":"BJ150/$BP150","v":1.1044671515155006E-2},0.10550641889268124,4.7498745008026318E-2,0.14593599787588868,0.33936406143909847,0.20775097187390434,{"$f":"SUM(BI152:BO152)","v":0.99999999999999989}]
[null,"Hourly cordon return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"P153+Y153+AH153+AQ153+AZ153+BI153","v":11837.232855512022},14569.060054767047,27335.487279912271,27206.231212977167,26969.023680237708,37118.998878549442,29334.920589066434,null,{"$f":"ROW()","v":153},{"$f":"P150/G$135","v":4388.4135659258081},5151.7534702170769,9562.0586983149096,9449.8586571249489,9950.5829762851226,14058.707341569081,10642.384809201136,null,null,{"$f":"Y150/P$135","v":3085.6944302721568},3622.4336540693407,6723.521113967995,6644.6281297551141,6996.7103160675624,9885.3205808906205,7483.1478476748789,null,null,{"$f":"AH150/Y$135","v":1954.0787034804771},2293.979724221605,4257.8063765203742,4207.8457910547513,4430.808990326339,6260.08014101769,4738.8554422893849,null,null,{"$f":"AQ150/Y$135","v":492.39100414792091},1293.8911732137742,2173.0689711245846,1920.4559357601381,1603.8525719949512,1702.9816247357539,1192.9333054568262,null,null,{"$f":"AZ150/AQ$135","v":609.12808111916058},1600.6495668632404,2688.2646542483467,2375.761598341569,1984.0972547171586,2106.7280281685466,1475.7563991517579,null,null,{"$f":"BI150/AZ$135","v":1307.5270705664996},606.35246618200983,1930.7674657360667,2607.6811009406447,2002.9715708465721,3105.1811621677512,3801.8427852924492]
[null,"Cordon VMT from cordon return trips (period return trips x cordon VMT per entry)",null,null,null,null,{"$f":"P154+Y154+AH154+AQ154+AZ154+BI154","v":97928.717989364552},21577.824259022567,119553.2247659985,39072.100710600767,153133.51969924476,310053.18209085008,120856.43048491872,{"$f":"SUM(G154:M154)","v":862175},{"$f":"ROW()","v":154},{"$f":"P150*$I$99","v":32913.101744443564},6439.6918377713464,35857.720118680911,11812.323321406186,49752.914881425611,105440.3050617681,39908.943034504257,{"$f":"SUM(P154:V154)","v":282125},null,{"$f":"Y150*$J$99","v":23142.708227041177},4528.0420675866762,25213.204177379979,8305.7851621938935,34983.551580337815,74139.904356679646,28061.804428780797,{"$f":"SUM(Y154:AE154)","v":198375},null,{"$f":"AH150*$K$99","v":18759.15555341258},3670.3675587545681,20437.470607297801,6732.5532656876021,28357.17753808857,60096.769353769829,22746.506122989049,{"$f":"SUM(AH154:AN154)","v":160800},null,{"$f":"AQ150*$L$99*Taxis!$L$228","v":3323.6392779984662},{"$f":"AR150*$L$99*Taxis!$L$228","v":1455.6275698654961},{"$f":"AS150*$L$99*Taxis!$L$228","v":7334.1077775454742},{"$f":"AT150*$L$99*Taxis!$L$228","v":2160.5129277301553},{"$f":"AU150*$L$99*Taxis!$L$228","v":7217.3365739772798},{"$f":"AV150*$L$99*Taxis!$L$228","v":11495.12596696634},{"$f":"AW150*$L$99*Taxis!$L$228","v":4026.1499059167891},{"$f":"SUM(AQ154:AW154)","v":37012.5},null,{"$f":"AZ150*$M$99","v":10964.305460144889},4801.9487005897208,24194.381888235119,7127.2847950247069,23809.167056605904,37921.104507033837,13281.807592365822,{"$f":"SUM(AZ154:BF154)","v":122099.99999999999},null,{"$f":"BI150*$L$99*Taxis!$L$228","v":8825.807726323872},{"$f":"BJ150*$L$99*Taxis!$L$228","v":682.14652445476111},{"$f":"BK150*$L$99*Taxis!$L$228","v":6516.3401968592243},{"$f":"BL150*$L$99*Taxis!$L$228","v":2933.6412385582253},{"$f":"BM150*$L$99*Taxis!$L$228","v":9013.3720688095746},{"$f":"BN150*$L$99*Taxis!$L$228","v":20959.972844632321},{"$f":"BO150*$L$99*Taxis!$L$228","v":12831.219400362015},{"$f":"SUM(BI154:BO154)","v":61762.499999999993}]
[null,{"$f":"CONCATENATE(\"Daily cordon return trips in Row \",O150,\" times Cordon VMT per entry [which is same as per return] in Row \",O99,\".\")","v":"Daily cordon return trips in Row 150 times Cordon VMT per entry [which is same as per return] in Row 99."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"3. Baseline Auto Travel in Cordon that Didn't Cross Cordon -- VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"% of 24-h volume that occurs in respective period",null,null,null,null,{"$f":"AVERAGE('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39),('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39)))","v":0.10322958332475049},{"$f":"AVERAGE('Weekday Hours'!D40,'Weekday Hours'!L40)","v":3.1076834041778207E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D41:D43),SUM('Weekday Hours'!L41:L43))","v":0.16262544181170491},{"$f":"AVERAGE('Weekday Hours'!D44,'Weekday Hours'!L44)","v":5.0120816596288344E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D45:D48),SUM('Weekday Hours'!L45:L48))","v":0.18567393988551417},{"$f":"AVERAGE(SUM('Weekday Hours'!D49:D54),SUM('Weekday Hours'!L49:L54))","v":0.34215514215435761},{"$f":"AVERAGE(SUM('Weekday Hours'!D55:D57),SUM('Weekday Hours'!L55:L57))","v":0.12511824218560624},{"$f":"SUM(G158:M158)","v":1},{"$f":"ROW()","v":158},{"$f":"G158","v":0.10322958332475049},3.1076834041778207E-2,0.16262544181170491,5.0120816596288344E-2,0.18567393988551417,0.34215514215435761,0.12511824218560624,{"$f":"SUM(P158:V158)","v":1},null,{"$f":"G158","v":0.10322958332475049},3.1076834041778207E-2,0.16262544181170491,5.0120816596288344E-2,0.18567393988551417,0.34215514215435761,0.12511824218560624,{"$f":"SUM(Y158:AE158)","v":1},null,{"$f":"P158","v":0.10322958332475049},3.1076834041778207E-2,0.16262544181170491,5.0120816596288344E-2,0.18567393988551417,0.34215514215435761,0.12511824218560624,{"$f":"SUM(AH158:AN158)","v":1},null,{"$f":"Taxis!F294","v":0.17861463753128054},{"$f":"Taxis!G294","v":1.9116782531877763E-2},{"$f":"Taxis!H294","v":0.12799966275594579},{"$f":"Taxis!I294","v":4.7871019756144786E-2},{"$f":"Taxis!J294","v":0.17533154624066652},{"$f":"Taxis!K294","v":0.29602835790347287},{"$f":"Taxis!L294","v":0.1550379932806118},{"$f":"SUM(AQ158:AW158)","v":1.0000000000000002},null,{"$f":"G158","v":0.10322958332475049},3.1076834041778207E-2,0.16262544181170491,5.0120816596288344E-2,0.18567393988551417,0.34215514215435761,0.12511824218560624,{"$f":"SUM(AZ158:BF158)","v":1},null,{"$f":"AQ158","v":0.17861463753128054},1.9116782531877763E-2,0.12799966275594579,4.7871019756144786E-2,0.17533154624066652,0.29602835790347287,0.1550379932806118,{"$f":"SUM(BI158:BO158)","v":1.0000000000000002}]
[null,"Calculated as mean of inbound and outbound percentages for respective periods, in By Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159},"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Derived in 'Taxis' worksheet tab, Row \",Taxis!$O294, \", from TLC compilation of taxi 'boardings' for 5 weekdays (and 2 weekend days) in March 2009.\")","v":"Derived in 'Taxis' worksheet tab, Row 294, from TLC compilation of taxi 'boardings' for 5 weekdays (and 2 weekend days) in March 2009."},null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Derived in 'Taxis' worksheet tab, Row \",Taxis!$O294, \", from TLC compilation of taxi 'boardings' for 5 weekdays (and 2 weekend days) in March 2009.\")","v":"Derived in 'Taxis' worksheet tab, Row 294, from TLC compilation of taxi 'boardings' for 5 weekdays (and 2 weekend days) in March 2009."}]
[null,"Cordon VMT from motor vehicle trips that didn't cross cordon",null,null,null,null,{"$f":"P160+Y160+AH160+AQ160+AZ160+BI160","v":250223.85041466122},30508.773997698263,195816.37286139186,71242.469157939282,261322.69873296341,446550.37194706791,223805.18120316305,{"$f":"SUM(G160:M160)","v":1479469.7183148849},{"$f":"ROW()","v":160},{"$f":"P158*$I$115","v":8321.0417701414954},2505.0148011533361,13108.772220322071,4040.0958234936711,14966.645797200195,27580.148422942326,10085.424021889759,{"$f":"SUM(P160:V160)","v":80607.142857142855},null,{"$f":"Y158*$J$115","v":5850.9053120135368},{"$f":"Z158*$J$115","v":1761.3905580107862},9217.3777198277021,2840.776283511057,10523.733664225392,19392.864664248769,7091.5232267341826,{"$f":"SUM(Y160:AE160)","v":56678.571428571428},null,null,null,null,null,null,null,null,null,null,{"$f":"AQ158*$L$115","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ160:AW160)","v":553825.51435896545},null,{"$f":"AZ158*$M$115","v":5041.7328495808142},1517.7925746004476,7942.6265780836675,2447.9006825627225,9068.3152240085128,16710.857142818826,6110.7749483450089,{"$f":"SUM(AZ160:BF160)","v":48840.000000000007},null,{"$f":"BI158*$N$115","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI160:BO160)","v":739518.48967020516}]
[null,"Each entry is sum of respective entries for the six trip types.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161},{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,"Intra-cordon VMT is zero for thru-trips, by definition.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of taxi trips within cordon (trips that don't cross cordon) shown in Cell L\",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of taxi trips within cordon (trips that don't cross cordon) shown in Cell L115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of UberLyft trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of UberLyft trips within cordon (trips that don't cross cordon) shown in row 115."}]
[null,null,null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":162}]
[null,"4. Baseline Total VMT in Cordon",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":163}]
[null,"VMT in period",null,null,null,null,{"$f":"G146+G154+G160","v":436034.50899869355},84940.230064423406,482259.08996365516,160844.10566358111,583580.78851676581,1037006.0544129387,452079.9406948273,{"$f":"SUM(G164:M164)","v":3236744.7183148847},{"$f":"ROW()","v":164},{"$f":"P146+P154+P160","v":51362.41776252375},25578.952262448711,138364.70763468221,37249.85829470391,125202.26792463857,198700.97258395221,68397.966394193427,{"$f":"SUM(P164:V164)","v":644857.14285714284},null,{"$f":"Y146+Y154+Y160","v":50778.998170654668},8548.8202526908226,50191.638887239576,20741.865362117809,83679.075162432302,177248.2451485708,62239.928444865465,{"$f":"SUM(Y164:AE164)","v":453428.57142857142},null,{"$f":"AH146+AH154+AH160","v":47563.869135967019},9978.0519561563578,39506.044803743411,12349.855644435876,53377.138545109286,109908.70491274091,48916.335001847103,{"$f":"SUM(AH164:AN164)","v":321600},null,{"$f":"AQ146+AQ154+AQ160","v":106676.50181813138},13983.826248291845,88002.397211191899,31553.388970705444,113943.53578603687,190770.01817031892,95258.34615428916,{"$f":"SUM(AQ164:AW164)","v":640188.01435896556},null,{"$f":"AZ146+AZ154+AZ160","v":26970.343769870593},11121.689975779889,56331.390354553907,16702.470272612136,56686.649337220319,92553.066156886503,32674.390133076653,{"$f":"SUM(AZ164:BF164)","v":293040},null,{"$f":"BI146+BI154+BI160","v":152682.37834154611},15728.88936905578,109862.91107224417,42246.667119005935,150692.12176132845,267825.04744046926,144592.97456655549,{"$f":"SUM(BI164:BO164)","v":883630.98967020516}]
[null,{"$f":"CONCATENATE(\"Each entry is sum of respective VMT's in Rows \",O146, \", \",O154, \" and \",158, \".\")","v":"Each entry is sum of respective VMT's in Rows 146, 154 and 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},null,null,null,null,null,null,"Work trips % of all cordon VMT:",{"$f":"W164/$N$164","v":0.19923015219836943},null,null,null,null,null,null,null,"Non-work trips % of all cordon VMT:",{"$f":"AF164/$N$164","v":0.14008783851963327},null,null,null,null,null,null,null,"Thru-trips % of all cordon VMT:",{"$f":"AO164/$N$164","v":9.9359086980276748E-2},null,{"$f":"AQ164/G164","v":0.24465151178768516},0.16463136770039041,0.18247949917921524,0.1961737350618368,0.195248949293956,0.18396229931204797,0.21071128705219969,0.19778761381350474,null,null,null,null,null,null,null,"Trucks/buses % of all cordon VMT:",{"$f":"BG164/$N164","v":9.0535406867849194E-2},null,null,null,null,null,null,null,"UberLyft % of all cordon VMT:",{"$f":"BP164/$N164","v":0.27299990162036675}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G164/G135","v":72672.41816644893},84940.230064423406,160753.02998788506,160844.10566358111,145895.19712919145,172834.34240215644,150693.31356494242,null,{"$f":"ROW()","v":166},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Above percentages show, for each period and on a 24-h basis, Taxi % of all cordon VMT"]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",O164, \" divided by hours in period in Row \",$O$135, \".\")","v":"Period VMT in Row 164 divided by hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Hourly traffic as % of maximum-period's hourly traffic",null,null,null,null,{"$f":"G166/MAX($G$166:$M$166)","v":0.42047441009931025},0.49145458526281643,0.93009888980188793,0.93062584338316245,0.84413314565526487,1,0.87189450586333372,null,{"$f":"ROW()","v":168},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,{"$f":"CONCATENATE(\"Ratio of Hourly VMT for period, as shown in Row \",O166,\", to maximum hourly VMT shown in Row \",O166, \".\")","v":"Ratio of Hourly VMT for period, as shown in Row 166, to maximum hourly VMT shown in Row 166."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"5. Baseline Total VMT Outside Cordon",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":171}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"P173+Y173+AH173+AQ173+AZ173+BI173","v":1007205.766654167},390761.88599115831,1918737.9131013565,570833.38722210214,1935767.708306642,3171508.4779202929,1185772.5058132338,{"$f":"SUM(G173:M173)","v":10180587.645008951},{"$f":"ROW()","v":173},{"$f":"P139*$I$93","v":136585.1209096197},224321.57681667607,1205582.0909223144,288555.75410855591,815641.21190923208,885736.44660168036,248182.24498977303,{"$f":"SUM(P173:V173)","v":3804604.446257852},null,{"$f":"Y139*$J$93","v":293787.4035722558},30469.033980892782,212546.16748603893,129397.73484653875,514766.7227049903,1128947.3555899735,365277.09985706437,{"$f":"SUM(Y173:AE173)","v":2675191.5180377546},null,{"$f":"AH139*$K$93","v":455211.04357015912},99682.560245677887,301347.40046907414,88772.209817348063,395399.26434083865,787195.57835776603,413571.03169435571,{"$f":"SUM(AH173:AN173)","v":2541179.0884952196},null,{"$f":"AQ139*$L$93","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AQ173:AW173)","v":197400},null,{"$f":"AZ139*$M$93","v":56825.147912413209},24887.253111536844,125393.19836043712,36938.866229454776,123396.72992338426,196535.23704234714,68836.159638553785,{"$f":"SUM(AZ173:BF173)","v":632812.5922181271},null,{"$f":"BI139*$N$93","v":47070.974540393981},3638.1147970920592,34753.814383249199,15646.086605643868,48071.317700317733,111786.52183803904,68433.170135264081,{"$f":"SUM(BI173:BO173)","v":329400}]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,1174021.9141416682,242198.50463757402,1345816.436379272,441807.90643071209,1800814.931855669,3741093.3827793421,1434834.5687847147,{"$f":"SUM(G174:M174)","v":10180587.645008951},{"$f":"ROW()","v":174},{"$f":"P150*$I$93","v":443850.53872236429},86842.641377103268,483560.27078849101,159295.41100312732,670944.30189511855,1421918.1336385901,538193.14883305714,{"$f":"SUM(P174:V174)","v":3804604.4462578511},null,{"$f":"Y150*$J$93","v":312091.62824651849},61063.035828738553,340013.35832580208,112007.89422328888,471771.64692403772,999815.7191335588,378428.23535580933,{"$f":"SUM(Y174:AE174)","v":2675191.5180377536},null,{"$f":"AH150*$K$93","v":296457.54857065319},58004.112483820645,322980.55304105021,106396.91275463643,448138.47368493187,949730.43263632024,359471.05532380752,{"$f":"SUM(AH174:AN174)","v":2541179.0884952201},null,{"$f":"AQ150*$L$93","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AQ174:AW174)","v":197400},null,{"$f":"AZ150*$M$93","v":56825.147912413209},24887.253111536844,125393.19836043712,36938.866229454776,123396.72992338426,196535.23704234714,68836.159638553785,{"$f":"SUM(AZ174:BF174)","v":632812.5922181271},null,{"$f":"BI150*$N$93","v":47070.974540393981},3638.1147970920592,34753.814383249199,15646.086605643868,48071.317700317733,111786.52183803904,68433.170135264081,{"$f":"SUM(BI174:BO174)","v":329400}]
[null,"VMT in period for cordon trips (sum of figures in two previous rows)",null,null,null,null,{"$f":"P175+Y175+AH175+AQ175+AZ175+BI175","v":2181227.6807958353},632960.39062873228,3264554.349480628,1012641.2936528142,3736582.6401623106,6912601.860699635,2620607.0745979487,{"$f":"SUM(G175:M175)","v":20361175.290017903},{"$f":"ROW()","v":175},{"$f":"P173+P174","v":580435.65963198396},311164.21819377935,1689142.3617108054,447851.16511168319,1486585.5138043505,2307654.5802402706,786375.39382283017,{"$f":"SUM(P175:V175)","v":7609208.8925157022},null,{"$f":"Y173+Y174","v":605879.0318187743},{"$f":"Z173+Z174","v":91532.069809631328},552559.52581184101,241405.62906982761,986538.36962902802,2128763.0747235324,743705.33521287376,{"$f":"SUM(Y175:AE175)","v":5350383.0360755082},null,{"$f":"AH173+AH174","v":751668.59214081231},157686.67272949853,624327.95351012435,195169.12257198448,843537.73802577052,1736926.0109940863,773042.08701816318,{"$f":"SUM(AH175:AN175)","v":5082358.1769904392},null,{"$f":"AQ173+AQ174","v":35452.152298650304},{"$f":"AR173+AR174","v":15526.694078565291},78230.482960485053,23045.471229121657,76984.923455757656,122614.67698097428,42945.598996445748,{"$f":"SUM(AQ175:AW175)","v":394800},null,{"$f":"AZ173+AZ174","v":113650.29582482642},49774.506223073688,250786.39672087424,73877.732458909551,246793.45984676853,393070.47408469429,137672.31927710757,{"$f":"SUM(AZ175:BF175)","v":1265625.1844362542},null,{"$f":"BI173+BI174","v":94141.949080787963},7276.2295941841185,69507.628766498397,31292.173211287736,96142.635400635467,223573.04367607809,136866.34027052816,{"$f":"SUM(BI175:BO175)","v":658800}]
[null,{"$f":"CONCATENATE(\"Row \",O173, \" entries are product of inbound cordon trips for period in Row \",O139, \" and one-way non-cordon mileage in Row \",O99, \". Ditto for outbound legs in Row \",O174, \" which uses outbound trips in Row \",O150, \".\")","v":"Row 173 entries are product of inbound cordon trips for period in Row 139 and one-way non-cordon mileage in Row 99. Ditto for outbound legs in Row 174 which uses outbound trips in Row 150."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"B. Non-cordon VMT for trips that do not enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"Cordon trips' share of traffic on cordon-bound roads:",null,null,null,null,null,null,null,null,null,{"$f":"Approaches!F22","v":0.34097720523182823},null,null,{"$f":"ROW()","v":178}]
[null,{"$f":"CONCATENATE(\"Derived through detailed analysis spelled out in 'Approaches' worksheet, and displayed there in Cell F\",Approaches!O22, \".\")","v":"Derived through detailed analysis spelled out in 'Approaches' worksheet, and displayed there in Cell F22."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Ratio, non-cordon-bound trips' non-cordon VMT, to cordon-bound trips' non-cordon VMT (on cordon-bound roads):",null,null,null,null,null,null,null,null,null,{"$f":"(1-L178)/L178","v":1.9327473645052207},null,null,{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of (i) complement of percentage in Row \",O178, \" to the percentage itself.\")","v":"Calculated as ratio of (i) complement of percentage in Row 178 to the percentage itself."},null,null,null,null,null,null,null,null,"Except this ratio used for medallion taxis + UberLyfts:",0.1,null,null,{"$f":"ROW()","v":181}]
[null,"VMT in period for non-cordon trips (on roads used by cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"Product of Figures in Row \",O175, \" by ratio in Row \",O180,)","v":"Product of Figures in Row 175 by ratio in Row 180"},null,null,null,null,{"$f":"P183+Y183+AH183+AQ183+AZ183+BI183","v":3978248.8036853974},1181560.5285596321,6038792.1803381331,1857592.6168550521,6904571.1728123892,12725838.395482821,4735421.559034802,{"$f":"SUM(G183:M183)","v":37422025.256768227},{"$f":"ROW()","v":183},{"$f":"P175*$L$180","v":1121835.4914185663},601401.82264235453,3264685.4478706834,865583.15906019812,2873194.2339169979,4460113.3081477843,1519864.9699228299,{"$f":"SUM(P183:V183)","v":14706678.432979412},null,{"$f":"Y175*$L$180","v":1171011.1019567107},176908.36669227283,1067957.9672450901,466576.09336143418,1906729.4338837811,4114361.2223279374,1437394.5266011534,{"$f":"SUM(Y183:AE183)","v":10340938.712068379},null,{"$f":"AH175*$L$180","v":1452785.4904415046},304768.50113553554,1206668.2067336307,377212.60728379939,1630345.3400300033,3357039.1700893864,1494095.0563359703,{"$f":"SUM(AH183:AN183)","v":9822914.3720498309},null,{"$f":"AQ175*$L$181","v":3545.2152298650308},1552.6694078565292,7823.048296048506,2304.5471229121658,7698.4923455757662,12261.467698097429,4294.5598996445751,{"$f":"SUM(AQ183:AW183)","v":39480},null,{"$f":"AZ175*$L$180","v":219657.30973067196},96201.54572219438,484706.74731603038,142786.99270557924,476989.4090959669,759705.92285201047,266085.81224815093,{"$f":"SUM(AZ183:BF183)","v":2446133.7396706045},null,{"$f":"BI175*$L$181","v":9414.1949080787963},727.62295941841194,6950.7628766498401,3129.2173211287736,9614.2635400635463,22357.304367607809,13686.634027052816,{"$f":"SUM(BI183:BO183)","v":65880}]
[null,"C. Total (Sum of \"A\" + \"B\")",null,null,null,null,{"$f":"G175+G183","v":6159476.4844812322},1814520.9191883644,9303346.5298187621,2870233.9105078662,10641153.812974699,19638440.256182455,7356028.6336327512,{"$f":"SUM(G184:M184)","v":57783200.546786129},{"$f":"ROW()","v":184},{"$f":"P175+P183","v":1702271.1510505504},912566.04083613388,4953827.8095814884,1313434.3241718812,4359779.747721348,6767767.8883880544,2306240.3637456601,{"$f":"SUM(P184:V184)","v":22315887.325495116},null,{"$f":"Y175+Y183","v":1776890.133775485},268440.43650190416,1620517.4930569311,707981.72243126179,2893267.8035128089,6243124.2970514698,2181099.8618140272,{"$f":"SUM(Y184:AE184)","v":15691321.748143887},null,{"$f":"AH175+AH183","v":2204454.0825823168},462455.17386503407,1830996.1602437552,572381.72985578387,2473883.0780557739,5093965.1810834724,2267137.1433541337,{"$f":"SUM(AH184:AN184)","v":14905272.549040269},null,{"$f":"AQ175+AQ183","v":38997.367528515337},17079.363486421822,86053.531256533563,25350.018352033821,84683.415801333424,134876.1446790717,47240.158896090325,{"$f":"SUM(AQ184:AW184)","v":434280},null,{"$f":"AZ175+AZ183","v":333307.60555549839},145976.05194526806,735493.14403690468,216664.72516448877,723782.86894273548,1152776.3969367049,403758.13152525853,{"$f":"SUM(AZ184:BF184)","v":3711758.9241068591},null,{"$f":"BI175+BI183","v":103556.14398886677},8003.85255360253,76458.391643148236,34421.39053241651,105756.89894069901,245930.3480436859,150552.97429758098,{"$f":"SUM(BI184:BO184)","v":724680}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G184/G135","v":1026579.4140802054},1814520.9191883644,3101115.5099395872,2870233.9105078662,2660288.4532436747,3273073.3760304092,2452009.5445442502,null,{"$f":"ROW()","v":185}]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",O184, \" divided by hours in period in Row \",$O$135, \".\")","v":"Period VMT in Row 184 divided by hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Hourly traffic as % of maximum-period's hourly traffic",null,null,null,null,{"$f":"G185/MAX($G$185:$M$185)","v":0.31364387416368988},0.55437831992297693,0.9474628746944338,0.87692317915246143,0.81277996170989564,1,0.74914591359331295,null,{"$f":"ROW()","v":187}]
[null,{"$f":"CONCATENATE(\"Ratio of Hourly VMT for period, as shown in Row \",O185,\", to maximum hourly VMT shown in same row.\")","v":"Ratio of Hourly VMT for period, as shown in Row 185, to maximum hourly VMT shown in same row."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"6. Baseline Speeds",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":190},"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":191},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left."]
[null,"A. Cordon speeds",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Baseline avg cordon speeds for each period are derived w/ an approach described in Speed-Volume, Cordon worksheet. A key parameter is a traffic-volume constant dubbed \"V_sub_k\" (literally, V, for volume, with subscript k). Its value is derived in Speed-Volume, Cordon. We display it here because formulae used in this worksheet to calculate speeds in response to congestion pricing pivot off that value.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab adjustment factor",null,"Intended to reflect stopping to pick up and discharge passengers.",null,"In cordon","Outside cordon",null,null,null,null,null,null,null,null,null,null,null,null,"UberLyft adjustment factor",null,"Intended to reflect stopping to pick up and discharge passengers.",null,"In cordon","Outside cordon"]
[null,"V_sub_k (derived, as just noted in box above, in Speed-Volume, Cordon):",null,null,null,null,null,null,{"$f":"'Speed-Vol., Cordon'!K74","v":75631},null,null,null,null,null,{"$f":"ROW()","v":198},"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,null,null,null,null,0.98,0.99,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.98,0.99]
[null,{"$f":"CONCATENATE(\"Are calculated using speed-volume relationship in Speed-Volume Cordon worksheet, operating on V_sub_k value in Row \",O198, \" and Hourly VMT figures in Row \",O166, \".\")","v":"Are calculated using speed-volume relationship in Speed-Volume Cordon worksheet, operating on V_sub_k value in Row 198 and Hourly VMT figures in Row 166."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199},"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Cordon Speeds",null,null,null,null,{"$f":"KSC/(1+0.1*(G166/V_sub_k)^KSE)","v":20.271882912859152},{"$f":"KSC/(1+0.1*(H166/V_sub_k)^KSE)","v":18.980338184441628},7.2345261344574521,7.2235298373289432,9.2253691014053434,5.9025163345882756,8.5401278841819632,null,{"$f":"ROW()","v":201},{"$f":"G201","v":20.271882912859152},18.980338184441628,7.2345261344574521,7.2235298373289432,9.2253691014053434,5.9025163345882756,8.5401278841819632,null,null,{"$f":"G201","v":20.271882912859152},18.980338184441628,7.2345261344574521,7.2235298373289432,9.2253691014053434,5.9025163345882756,8.5401278841819632,null,null,{"$f":"P201","v":20.271882912859152},18.980338184441628,7.2345261344574521,7.2235298373289432,9.2253691014053434,5.9025163345882756,8.5401278841819632,null,null,{"$f":"G201*$AU$198","v":19.866445254601967},18.600731420752794,7.0898356117683026,7.0790592405823638,9.0408617193772365,5.7844660078965102,8.3693253264983234,null,null,{"$f":"G201","v":20.271882912859152},18.980338184441628,7.2345261344574521,7.2235298373289432,9.2253691014053434,5.9025163345882756,8.5401278841819632,null,null,{"$f":"G201*$BM$198","v":19.866445254601967},18.600731420752794,7.0898356117683026,7.0790592405823638,9.0408617193772365,5.7844660078965102,8.3693253264983234]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",O204, \" & \",O205,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 204 & 205)"},null,null,null,null,{"$f":"1/G201","v":4.9329408831858712E-2},5.2686100230801468E-2,0.13822605398259361,0.1384364739288973,0.10839674694941641,0.16941926854824266,0.11709426528052365,null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"See note directly above in Rows \",O194, \" and \",O199, \" to see how cordon speeds were estimated.\")","v":"See note directly above in Rows 194 and 199 to see how cordon speeds were estimated."},null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"'1' and '4' in first & last elements in numerator and denominator of formula for Cell K\",O204, \" adjust our periods to 8 am - 6 pm interval in NYCDOT's speed data.\")","v":"'1' and '4' in first & last elements in numerator and denominator of formula for Cell K204 adjust our periods to 8 am - 6 pm interval in NYCDOT's speed data."},null,null,{"$f":"ROW()","v":203}]
[null,{"$f":"CONCATENATE(\"Note: Cell K\",O204, \" must calculate to equal \",'Speed-Vol., Cordon'!K48, \" mph -- NYCDOT's est. for those periods (NYC Mobility Report 2016, p. 23) -- assuming that the 'switches' for changes in traffic levels from baseline levels in Rows \",'Policy Levers'!O259,\"-\",'Policy Levers'!O261,\" of 'Policy Levers' tab are set to zero.\")","v":"Note: Cell K204 must calculate to equal 7.1 mph -- NYCDOT's est. for those periods (NYC Mobility Report 2016, p. 23) -- assuming that the 'switches' for changes in traffic levels from baseline levels in Rows 259-261 of 'Policy Levers' tab are set to zero."},null,null,null,null,null,"Traffic-wghtd avg mph, 8 a.m. - 6 p.m.",null,null,{"$f":"(1*I166+J135*J166+K135*K166+4*L166)/(1*I166*I202+J135*J166*J202+K135*K166*K202+4*L166*L202)","v":7.099691544567313},null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,"Traffic-wghtd avg mph, 24h",null,null,{"$f":"$N$164/SUMPRODUCT(G202:M202,G164:M164)","v":7.9566975814690171},null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,"Traffic-wghtd avg mph, 6 a.m. - 6 p.m.",null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"B. Vehicle Hours in Traffic within Cordon (per weekday)",null,null,null,null,{"$f":"G164/G201","v":21509.324559195331},{"$f":"H164/H201","v":4475.1694748015479},66660.771002912661,22266.690840313149,63258.259057392752,175688.80721873918,52935.96850372351,{"$f":"SUM(G207:M207)","v":406794.9906570781},{"$f":"ROW()","v":207}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",O164, \" figures by Row \",O201, \" figures. Figures in this row will be invoked later, to calculate time savings from cordon fees.\")","v":"Calculated as quotient of Row 164 figures by Row 201 figures. Figures in this row will be invoked later, to calculate time savings from cordon fees."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(We will consider reducing truck speeds to reflect lesser maneuverability in traffic.)"]
[null,"C. Non-cordon speeds ",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Baseline non-cordon speeds, i.e., on approaches to (and from) CBD in NJ, Bklyn, Queens, Bronx and Upper Manhattan, are derived differently than cordon speeds. Whereas our cordon equation is derived from observations made on urban streets, our non-cordon equation is based on data for freeways and expressways. See Speed-Volume, non-Cordon, for details.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,"Speeds in Miles Per Hour",null,null,null,null,null,{"$f":"ROW()","v":215},"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds"]
[null,"Non-Cordon Speeds, uncapped (miles per hour)",null,null,null,null,{"$f":"Alpha*EXP(Beta*G185/'Speed-Vol., non-Cordon'!$S$48)","v":67.026285683017434},{"$f":"Alpha*EXP(Beta*H185/'Speed-Vol., non-Cordon'!$S$48)","v":40.161836222382789},{"$f":"Alpha*EXP(Beta*I185/'Speed-Vol., non-Cordon'!$S$48)","v":17.40263133338409},{"$f":"Alpha*EXP(Beta*J185/'Speed-Vol., non-Cordon'!$S$48)","v":20.220483554516662},{"$f":"Alpha*EXP(Beta*K185/'Speed-Vol., non-Cordon'!$S$48)","v":23.17704134460168},{"$f":"Alpha*EXP(Beta*L185/'Speed-Vol., non-Cordon'!$S$48)","v":15.562241535911015},{"$f":"Alpha*EXP(Beta*M185/'Speed-Vol., non-Cordon'!$S$48)","v":26.537132706577559},null,{"$f":"ROW()","v":216}]
[null,"Non-Cordon Speeds, capped (miles per hour)",null,null,null,null,{"$f":"MIN(G216,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN(H216,'Speed-Vol., non-Cordon'!$Y$6)","v":40.161836222382789},{"$f":"MIN(I216,'Speed-Vol., non-Cordon'!$Y$6)","v":17.40263133338409},{"$f":"MIN(J216,'Speed-Vol., non-Cordon'!$Y$6)","v":20.220483554516662},{"$f":"MIN(K216,'Speed-Vol., non-Cordon'!$Y$6)","v":23.17704134460168},{"$f":"MIN(L216,'Speed-Vol., non-Cordon'!$Y$6)","v":15.562241535911015},{"$f":"MIN(M216,'Speed-Vol., non-Cordon'!$Y$6)","v":26.537132706577559},null,{"$f":"ROW()","v":217},{"$f":"G217","v":55},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559,null,null,{"$f":"G217","v":55},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559,null,null,{"$f":"P217","v":55},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559,null,null,{"$f":"$AV$198*G217","v":54.45},{"$f":"$AV$198*H217","v":39.76021786015896},17.228605020050249,20.018278718971494,22.945270931155662,15.406619120551905,26.271761379511783,null,null,{"$f":"G217","v":55},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559,null,null,{"$f":"$BN$198*G217","v":54.45},39.76021786015896,17.228605020050249,20.018278718971494,22.945270931155662,15.406619120551905,26.271761379511783]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",O220, \" & \",O221,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 220 & 221)"},null,null,null,null,{"$f":"1/G217","v":1.8181818181818181E-2},2.4899259945756293E-2,5.7462574529270422E-2,4.9454801479098622E-2,4.3146145581386589E-2,6.4258095319522354E-2,3.7683046282997165E-2,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,{"$f":"CONCATENATE(\"Note: Cell in box at right (this row) should equal 18.22 mph -- PlaNYC's-based figure for those time periods (see 'VMT' worksheet) -- provided 'switch' for changes in traffic levels from baseline levels in Row \",'Policy Levers'!O259, \" of 'Policy Levers' worksheet is set to zero.\")","v":"Note: Cell in box at right (this row) should equal 18.22 mph -- PlaNYC's-based figure for those time periods (see 'VMT' worksheet) -- provided 'switch' for changes in traffic levels from baseline levels in Row 259 of 'Policy Levers' worksheet is set to zero."},null,null,null,null,null,"Traffic-wghtd avg mph, 6 a.m. - 6 p.m.",null,null,{"$f":"(SUMPRODUCT(I166:K166,I135:K135)+L166*4)/(SUMPRODUCT(I166:K166,I135:K135,I218:K218)+L166*4*L218)","v":18.220079748547541},"MPH data in second speed row above 'cap' first-row speeds at a max value of 55 mph.",null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,"Traffic-wghtd avg mph, 24h",null,null,{"$f":"$N$164/SUMPRODUCT(G218:M218,G164:M164)","v":20.941636611133816},null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"7. Baseline Trip Durations",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Each trip has four parts; calculating durations for \"entry\" parts is straightforward since time period, hence speed, is known; \"exit\" parts are assumed to fall randomly but to conform to percentages of outbound trips occurring within each respective period; associated speeds are calculated as percentage-weighted harmonic means, since duration is inversely related to speed.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227},null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228},"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes) Could be modified by tying in \"trip cycle\" ests. from Taxis worksheet.",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes) Could be modified by tying in \"trip cycle\" ests. from Taxis or UberLyft worksheets."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":230},{"$f":"$I$99*60/P201","v":3.6997056623894036},3.9514575173101103,10.36695404869452,10.382735544667298,8.1297560212062301,12.7064451411182,8.7820698960392747,{"$f":"SUMPRODUCT(P$164:V$164,P230:V230)/W$164","v":9.7007510188234569},null,{"$f":"$J$99*60/Y201","v":3.6997056623894036},3.9514575173101103,10.36695404869452,10.382735544667298,8.1297560212062301,12.7064451411182,8.7820698960392747,{"$f":"SUMPRODUCT(Y$164:AE$164,Y230:AE230)/AF$164","v":9.7841658285563167},null,{"$f":"$K$99*60/AH201","v":4.7356232478584364},5.0578656221569407,13.269701182328985,13.28990149717414,10.406087707143975,16.264249780631296,11.241049466930271,{"$f":"SUMPRODUCT(AH$164:AN$164,AH230:AN230)/AO$164","v":11.99308066350673},null,{"$f":"$L$99*60/AQ201","v":4.5302518314972291},4.8385194089511554,12.694229447381046,12.713553728164039,9.9548032912729347,15.558912417695755,10.753554974741968,{"$f":"SUMPRODUCT(AQ$164:AW$164,AQ230:AW230)/AX$164","v":11.240504275343643},null,{"$f":"$M$99*60/AZ201","v":8.8792935897345693},9.483498041544264,24.880689716866847,24.918565307201515,19.511414450894954,30.495468338683679,21.076967750494259,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ230:BF230)/BG$164","v":23.136358317813841},null,{"$f":"$N$99*60/BI201","v":4.5302518314972291},4.8385194089511554,12.694229447381046,12.713553728164039,9.9548032912729347,15.558912417695755,10.753554974741968,{"$f":"SUMPRODUCT(BI$164:BO$164,BI230:BO230)/BP$164","v":11.228204914486042}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231},{"$f":"60*$I$99/(1/($P$152/$P201+$Q$152/$Q201+$R$152/$R201+$S$152/$S201+$T$152/$T201+$U$152/$U201+$V$152/$V201))","v":9.6989921561500765},9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,{"$f":"SUMPRODUCT(P$164:V$164,P231:V231)/W$164","v":9.6989921561500747},null,{"$f":"60*$J$99/(1/($Y$152/$Y201+$Z$152/$Z201+$AA$152/$AA201+$AB$152/$AB201+$AC$152/$AC201+$AD$152/$AD201+$AE$152/$AE201))","v":9.6989921561500765},9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,9.6989921561500765,{"$f":"SUMPRODUCT(Y$164:AE$164,Y231:AE231)/AF$164","v":9.6989921561500747},null,{"$f":"AH230","v":4.7356232478584364},5.0578656221569407,13.269701182328985,13.28990149717414,10.406087707143975,16.264249780631296,11.241049466930271,{"$f":"SUMPRODUCT(AH$164:AN$164,AH231:AN231)/AO$164","v":11.99308066350673},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ201+$BA$152/$BA201+$BB$152/$BB201+$BC$152/$BC201+$BD$152/$BD201+$BE$152/$BE201+$BF$152/$BF201))","v":23.123519876273267},23.123519876273267,23.123519876273267,23.123519876273267,23.123519876273267,23.123519876273267,23.123519876273267,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ231:BF231)/BG$164","v":23.123519876273267}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232},{"$f":"$I$93*60/P217","v":18.389355683366585},25.183474106731353,58.118484682539332,50.019306405718567,43.638639960433842,64.991573370150363,38.113181773194,{"$f":"SUMPRODUCT(P$164:V$164,P232:V232)/W$164","v":50.364422390760403},null,{"$f":"$J$93*60/Y217","v":18.389355683366585},25.183474106731353,58.118484682539332,50.019306405718567,43.638639960433842,64.991573370150363,38.113181773194,{"$f":"SUMPRODUCT(Y$164:AE$164,Y232:AE232)/AF$164","v":49.946307451408543},null,{"$f":"$K$93*60/AH217","v":27.584033525049882},37.77521116009703,87.177727023808998,75.028959608577864,65.457959940650767,97.487360055225551,57.169772659791008,{"$f":"SUMPRODUCT(AH$164:AN$164,AH232:AN232)/AO$164","v":71.718825334319334},null,{"$f":"$L$93*60/AQ217","v":6.6115702479338836},9.0542763439113791,20.895481647007426,17.983564174217683,15.689507484140577,23.366580116189947,13.702925921089879,{"$f":"SUMPRODUCT(AQ$164:AW$164,AQ232:AW232)/AX$164","v":16.852684170303775},null,{"$f":"$M$93*60/AZ217","v":16.961695569840352},23.228351691283081,53.606448270361099,46.136050793544868,40.25074824999205,59.945943788913681,35.154259755802109,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ232:BF232)/BG$164","v":46.016305001201516},null,{"$f":"$N$93*60/BI217","v":6.6115702479338836},9.0542763439113791,20.895481647007426,17.983564174217683,15.689507484140577,23.366580116189947,13.702925921089879,{"$f":"SUMPRODUCT(BI$164:BO$164,BI232:BO232)/BP$164","v":16.761584490460486}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233},{"$f":"60*$I$93/(1/($P$152/$P217+$Q$152/$Q217+$R$152/$R217+$S$152/$S217+$T$152/$T217+$U$152/$U217+$V$152/$V217))","v":49.578033802938798},49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,{"$f":"SUMPRODUCT(P$164:V$164,P233:V233)/W$164","v":49.578033802938798},null,{"$f":"60*$J$93/(1/($Y$152/$Y217+$Z$152/$Z217+$AA$152/$AA217+$AB$152/$AB217+$AC$152/$AC217+$AD$152/$AD217+$AE$152/$AE217))","v":49.578033802938798},49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,49.578033802938798,{"$f":"SUMPRODUCT(Y$164:AE$164,Y233:AE233)/AF$164","v":49.578033802938798},null,{"$f":"AH232","v":27.584033525049882},37.77521116009703,87.177727023808998,75.028959608577864,65.457959940650767,97.487360055225551,57.169772659791008,{"$f":"SUMPRODUCT(AH$164:AN$164,AH233:AN233)/AO$164","v":71.718825334319334},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ217+$BA$152/$BA217+$BB$152/$BB217+$BC$152/$BC217+$BD$152/$BD217+$BE$152/$BE217+$BF$152/$BF217))","v":46.042420324136799},46.042420324136799,46.042420324136799,46.042420324136799,46.042420324136799,46.042420324136799,46.042420324136799,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ233:BF233)/BG$164","v":46.042420324136799}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234},{"$f":"SUM(P230:P233)","v":81.366087304844854},{"$f":"SUM(Q230:Q233)","v":88.411957583130345},127.76246469032273,119.67906790947472,111.04542194072894,136.97504447035743,106.17227762832215,119.34219936867274,null,{"$f":"SUM(Y230:Y233)","v":81.366087304844854},88.411957583130345,127.76246469032273,119.67906790947472,111.04542194072894,136.97504447035743,106.17227762832215,119.00749923905374,null,{"$f":"SUM(AH230:AH233)","v":64.639313545816634},85.666153564507937,200.89485641227597,176.63772221150401,151.72809529558947,227.50321967171368,136.82164425344257,167.42381199565213,null,{"$f":"AQ230+AQ232","v":11.141822079431112},13.892795752862535,33.58971109438847,30.69711790238172,25.644310775413512,38.925492533885702,24.456480895831845,28.093188445647417,null,{"$f":"SUM(AZ230:AZ233)","v":95.00692935998498},101.87778993323741,147.65307818763802,140.22055630115645,128.92810290129708,159.60735232800744,125.39716770670643,138.31860351942544,null,{"$f":"SUM(BI230:BI233)","v":11.141822079431112},13.892795752862535,33.58971109438847,30.69711790238172,25.644310775413512,38.925492533885702,24.456480895831845,27.989789404946528]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"8. Baseline Fuel Economy and Gasoline Consumption (gasoline per trip is calculated for two reasons: (i) societal importance; (ii) gasoline is a factor in total trip costs, which in turn affect sensitivity of trip volumes to congestion tolls).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"Discussion: We approximate automobile fuel economy (mpg) as function of avg speed, from equation empirically derived by two U-C Riverside researchers based on observations of vehicle speeds and mpg's on Southern California freeways. (See Speed-CO2 worksheet, which cites their paper and shows CO2 emission rates and its reciprocal, miles per gallon, for wide range of speeds.) We apply the equation throughout this worksheet, but w/ adjustment factors to reflect traffic signals and other factors that make stop-and-go driving far more frequent in NYC than in So. California; for example, fuel economy at 10 mpg on NYC streets is poorer than fuel economy at 10 mpg on California freeways.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Mpg for respective trip types and time period (values for respective trip types in different periods are shown further to right; see discussion directly above, for explanation)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Figures below employ weighted average of mpg's for trucks and buses, using formulas from Speed-CO2 worksheet."]
[null,"Within cordon",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":246},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*P201+'Speed-CO2'!$G$29*P201^2+'Speed-CO2'!$H$29*P201^3+'Speed-CO2'!$I$29*P201^4)","v":13.1474424902019},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Q201+'Speed-CO2'!$G$29*Q201^2+'Speed-CO2'!$H$29*Q201^3+'Speed-CO2'!$I$29*Q201^4)","v":12.634096174520751},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*R201+'Speed-CO2'!$G$29*R201^2+'Speed-CO2'!$H$29*R201^3+'Speed-CO2'!$I$29*R201^4)","v":7.7859930886623037},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*S201+'Speed-CO2'!$G$29*S201^2+'Speed-CO2'!$H$29*S201^3+'Speed-CO2'!$I$29*S201^4)","v":7.7816067690311002},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*T201+'Speed-CO2'!$G$29*T201^2+'Speed-CO2'!$H$29*T201^3+'Speed-CO2'!$I$29*T201^4)","v":8.5915268725736187},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*U201+'Speed-CO2'!$G$29*U201^2+'Speed-CO2'!$H$29*U201^3+'Speed-CO2'!$I$29*U201^4)","v":7.2605994434053249},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*V201+'Speed-CO2'!$G$29*V201^2+'Speed-CO2'!$H$29*V201^3+'Speed-CO2'!$I$29*V201^4)","v":8.3118914767914163},null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Y201+'Speed-CO2'!$G$29*Y201^2+'Speed-CO2'!$H$29*Y201^3+'Speed-CO2'!$I$29*Y201^4)","v":13.1474424902019},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Z201+'Speed-CO2'!$G$29*Z201^2+'Speed-CO2'!$H$29*Z201^3+'Speed-CO2'!$I$29*Z201^4)","v":12.634096174520751},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AA201+'Speed-CO2'!$G$29*AA201^2+'Speed-CO2'!$H$29*AA201^3+'Speed-CO2'!$I$29*AA201^4)","v":7.7859930886623037},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AB201+'Speed-CO2'!$G$29*AB201^2+'Speed-CO2'!$H$29*AB201^3+'Speed-CO2'!$I$29*AB201^4)","v":7.7816067690311002},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AC201+'Speed-CO2'!$G$29*AC201^2+'Speed-CO2'!$H$29*AC201^3+'Speed-CO2'!$I$29*AC201^4)","v":8.5915268725736187},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AD201+'Speed-CO2'!$G$29*AD201^2+'Speed-CO2'!$H$29*AD201^3+'Speed-CO2'!$I$29*AD201^4)","v":7.2605994434053249},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AE201+'Speed-CO2'!$G$29*AE201^2+'Speed-CO2'!$H$29*AE201^3+'Speed-CO2'!$I$29*AE201^4)","v":8.3118914767914163},null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AH201+'Speed-CO2'!$G$29*AH201^2+'Speed-CO2'!$H$29*AH201^3+'Speed-CO2'!$I$29*AH201^4)","v":13.1474424902019},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AI201+'Speed-CO2'!$G$29*AI201^2+'Speed-CO2'!$H$29*AI201^3+'Speed-CO2'!$I$29*AI201^4)","v":12.634096174520751},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AJ201+'Speed-CO2'!$G$29*AJ201^2+'Speed-CO2'!$H$29*AJ201^3+'Speed-CO2'!$I$29*AJ201^4)","v":7.7859930886623037},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AK201+'Speed-CO2'!$G$29*AK201^2+'Speed-CO2'!$H$29*AK201^3+'Speed-CO2'!$I$29*AK201^4)","v":7.7816067690311002},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AL201+'Speed-CO2'!$G$29*AL201^2+'Speed-CO2'!$H$29*AL201^3+'Speed-CO2'!$I$29*AL201^4)","v":8.5915268725736187},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AM201+'Speed-CO2'!$G$29*AM201^2+'Speed-CO2'!$H$29*AM201^3+'Speed-CO2'!$I$29*AM201^4)","v":7.2605994434053249},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AN201+'Speed-CO2'!$G$29*AN201^2+'Speed-CO2'!$H$29*AN201^3+'Speed-CO2'!$I$29*AN201^4)","v":8.3118914767914163},null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AQ201+'Speed-CO2'!$G$29*AQ201^2+'Speed-CO2'!$H$29*AQ201^3+'Speed-CO2'!$I$29*AQ201^4)","v":12.987539404358438},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AR201+'Speed-CO2'!$G$29*AR201^2+'Speed-CO2'!$H$29*AR201^3+'Speed-CO2'!$I$29*AR201^4)","v":12.481157595331359},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AS201+'Speed-CO2'!$G$29*AS201^2+'Speed-CO2'!$H$29*AS201^3+'Speed-CO2'!$I$29*AS201^4)","v":7.7283391947846756},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AT201+'Speed-CO2'!$G$29*AT201^2+'Speed-CO2'!$H$29*AT201^3+'Speed-CO2'!$I$29*AT201^4)","v":7.7240505928200163},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AU201+'Speed-CO2'!$G$29*AU201^2+'Speed-CO2'!$H$29*AU201^3+'Speed-CO2'!$I$29*AU201^4)","v":8.516014442006913},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AV201+'Speed-CO2'!$G$29*AV201^2+'Speed-CO2'!$H$29*AV201^3+'Speed-CO2'!$I$29*AV201^4)","v":7.2146492069302903},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AW201+'Speed-CO2'!$G$29*AW201^2+'Speed-CO2'!$H$29*AW201^3+'Speed-CO2'!$I$29*AW201^4)","v":8.2425510579614123},null,null,{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AZ201+'Speed-CO2'!$G$29*AZ201^2+'Speed-CO2'!$H$29*AZ201^3+'Speed-CO2'!$I$29*AZ201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI201+'Speed-CO2'!$G$29*BI201^2+'Speed-CO2'!$H$29*BI201^3+'Speed-CO2'!$I$29*BI201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":6.0292588018138851},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BA201+'Speed-CO2'!$G$29*BA201^2+'Speed-CO2'!$H$29*BA201^3+'Speed-CO2'!$I$29*BA201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ201+'Speed-CO2'!$G$29*BJ201^2+'Speed-CO2'!$H$29*BJ201^3+'Speed-CO2'!$I$29*BJ201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":5.793902664332407},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BB201+'Speed-CO2'!$G$29*BB201^2+'Speed-CO2'!$H$29*BB201^3+'Speed-CO2'!$I$29*BB201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK201+'Speed-CO2'!$G$29*BK201^2+'Speed-CO2'!$H$29*BK201^3+'Speed-CO2'!$I$29*BK201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.5735577570683374},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BC201+'Speed-CO2'!$G$29*BC201^2+'Speed-CO2'!$H$29*BC201^3+'Speed-CO2'!$I$29*BC201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL201+'Speed-CO2'!$G$29*BL201^2+'Speed-CO2'!$H$29*BL201^3+'Speed-CO2'!$I$29*BL201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.5715498313391496},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BD201+'Speed-CO2'!$G$29*BD201^2+'Speed-CO2'!$H$29*BD201^3+'Speed-CO2'!$I$29*BD201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM201+'Speed-CO2'!$G$29*BM201^2+'Speed-CO2'!$H$29*BM201^3+'Speed-CO2'!$I$29*BM201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.9423140275023654},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BE201+'Speed-CO2'!$G$29*BE201^2+'Speed-CO2'!$H$29*BE201^3+'Speed-CO2'!$I$29*BE201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN201+'Speed-CO2'!$G$29*BN201^2+'Speed-CO2'!$H$29*BN201^3+'Speed-CO2'!$I$29*BN201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.3330482066210849},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BF201+'Speed-CO2'!$G$29*BF201^2+'Speed-CO2'!$H$29*BF201^3+'Speed-CO2'!$I$29*BF201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BO201+'Speed-CO2'!$G$29*BO201^2+'Speed-CO2'!$H$29*BO201^3+'Speed-CO2'!$I$29*BO201^4)) / (35000 + 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[null,"Outside 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eed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AU217+'Speed-CO2'!$G$29*AU217^2+'Speed-CO2'!$H$29*AU217^3+'Speed-CO2'!$I$29*AU217^4)","v":17.001311077502095},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AV217+'Speed-CO2'!$G$29*AV217^2+'Speed-CO2'!$H$29*AV217^3+'Speed-CO2'!$I$29*AV217^4)","v":13.400712333630651},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AW217+'Speed-CO2'!$G$29*AW217^2+'Speed-CO2'!$H$29*AW217^3+'Speed-CO2'!$I$29*AW217^4)","v":18.40160597782484},null,null,{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AZ217+'Speed-CO2'!$G$29*AZ217^2+'Speed-CO2'!$H$29*AZ217^3+'Speed-CO2'!$I$29*AZ217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI217+'Speed-CO2'!$G$29*BI217^2+'Speed-CO2'!$H$29*BI217^3+'Speed-CO2'!$I$29*BI217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":10.187343596359488},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BA217+'Speed-CO2'!$G$29*BA217^2+'Speed-CO2'!$H$29*BA217^3+'Speed-CO2'!$I$29*BA217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ217+'Speed-CO2'!$G$29*BJ217^2+'Speed-CO2'!$H$29*BJ217^3+'Speed-CO2'!$I$29*BJ217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":10.176319527714549},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BB217+'Speed-CO2'!$G$29*BB217^2+'Speed-CO2'!$H$29*BB217^3+'Speed-CO2'!$I$29*BB217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK217+'Speed-CO2'!$G$29*BK217^2+'Speed-CO2'!$H$29*BK217^3+'Speed-CO2'!$I$29*BK217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":6.6071981009813339},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BC217+'Speed-CO2'!$G$29*BC217^2+'Speed-CO2'!$H$29*BC217^3+'Speed-CO2'!$I$29*BC217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL217+'Speed-CO2'!$G$29*BL217^2+'Speed-CO2'!$H$29*BL217^3+'Speed-CO2'!$I$29*BL217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":7.2317523272560624},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BD217+'Speed-CO2'!$G$29*BD217^2+'Speed-CO2'!$H$29*BD217^3+'Speed-CO2'!$I$29*BD217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM217+'Speed-CO2'!$G$29*BM217^2+'Speed-CO2'!$H$29*BM217^3+'Speed-CO2'!$I$29*BM217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":7.8520843466301526},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BE217+'Speed-CO2'!$G$29*BE217^2+'Speed-CO2'!$H$29*BE217^3+'Speed-CO2'!$I$29*BE217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN217+'Speed-CO2'!$G$29*BN217^2+'Speed-CO2'!$H$29*BN217^3+'Speed-CO2'!$I$29*BN217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":6.188050037629341},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BF217+'Speed-CO2'!$G$29*BF217^2+'Speed-CO2'!$H$29*BF217^3+'Speed-CO2'!$I$29*BF217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BO217+'Speed-CO2'!$G$29*BO217^2+'Speed-CO2'!$H$29*BO217^3+'Speed-CO2'!$I$29*BO217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":8.4965390092518156},null,null,{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI217+'Speed-CO2'!$G$29*BI217^2+'Speed-CO2'!$H$29*BI217^3+'Speed-CO2'!$I$29*BI217^4)","v":22.215778727016637},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ217+'Speed-CO2'!$G$29*BJ217^2+'Speed-CO2'!$H$29*BJ217^3+'Speed-CO2'!$I$29*BJ217^4)","v":22.097796264774242},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK217+'Speed-CO2'!$G$29*BK217^2+'Speed-CO2'!$H$29*BK217^3+'Speed-CO2'!$I$29*BK217^4)","v":14.306226023365314},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL217+'Speed-CO2'!$G$29*BL217^2+'Speed-CO2'!$H$29*BL217^3+'Speed-CO2'!$I$29*BL217^4)","v":15.657074799100499},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM217+'Speed-CO2'!$G$29*BM217^2+'Speed-CO2'!$H$29*BM217^3+'Speed-CO2'!$I$29*BM217^4)","v":17.001311077502095},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN217+'Speed-CO2'!$G$29*BN217^2+'Speed-CO2'!$H$29*BN217^3+'Speed-CO2'!$I$29*BN217^4)","v":13.400712333630651},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$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[null,"Gallons of gasoline (values for each trip mode's different periods are shown further to right; all trip distances are doubled to capture round-trips, except for taxicabs)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Within cordon",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":250},{"$f":"2*$I$99/P246","v":0.19015105043152833},{"$f":"2*$I$99/Q246","v":0.19787723359600215},0.32108941936262625,0.32127041036683979,0.2909843660014203,0.34432418693345024,0.30077389809293542,null,null,{"$f":"2*$J$99/Y246","v":0.19015105043152833},0.19787723359600215,0.32108941936262625,0.32127041036683979,0.2909843660014203,0.34432418693345024,0.30077389809293542,null,null,{"$f":"2*$K$99/AH246","v":0.24339334455235628},0.25328285900288278,0.41099445678416163,0.41122612526955499,0.37245998848181805,0.44073495927481637,0.38499058955895737,null,null,{"$f":"2*$L$99/AQ246","v":0.23099063699419781},0.24036232032853791,0.38818171982209237,0.38839724882028687,0.35227746740328564,0.41582063298631933,0.36396498837605923,null,null,{"$f":"2*$M$99/AZ246","v":0.99514719756181591},1.0355714183699254,1.6789990278266158,1.679942961274687,1.5219487737767232,1.800153981595894,1.5730275449438313,null,null,{"$f":"2*$N$99/BI246","v":0.23099063699419781},{"$f":"2*$N$99/BJ246","v":0.24036232032853791},0.38818171982209237,0.38839724882028687,0.35227746740328564,0.41582063298631933,0.36396498837605923]
[null,"Outside cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251},{"$f":"2*$I$93/P247","v":1.5216116193979992},{"$f":"2*$I$93/Q247","v":1.5218808319803898},2.3425463773387643,2.1401950272434664,1.9711441468051443,2.5013000078865066,1.8217381485518021,null,null,{"$f":"2*$J$93/Y247","v":1.5216116193979992},1.5218808319803898,2.3425463773387643,2.1401950272434664,1.9711441468051443,2.5013000078865066,1.8217381485518021,null,null,{"$f":"2*$K$93/AH247","v":2.282417429096999},2.2828212479705852,3.5138195660081464,3.2102925408652001,2.9567162202077166,3.7519500118297602,2.7326072228277032,null,null,{"$f":"2*$L$93/AQ247","v":0.54015662234728623},0.54304057545905682,0.83879563907359467,0.7664266891469026,0.70582791793508504,0.89547478531306135,0.65211699535686174,null,null,{"$f":"2*$M$93/AZ247","v":3.0524583355717145},{"$f":"2*$M$93/BA247","v":3.0557650821941564},4.7064491487582378,4.2999871221861303,3.9602786349825929,5.0252408576117107,3.6598951460329872,null,null,{"$f":"2*$N$93/BI247","v":0.54015662234728623},{"$f":"2*$N$93/BJ247","v":0.54304057545905682},0.83879563907359467,0.7664266891469026,0.70582791793508504,0.89547478531306135,0.65211699535686174]
[null,"Trip total",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252},{"$f":"P250+P251","v":1.7117626698295274},{"$f":"Q250+Q251","v":1.719758065576392},2.6636357967013904,2.4614654376103062,2.2621285128065645,2.845624194819957,2.1225120466447374,null,null,{"$f":"Y250+Y251","v":1.7117626698295274},1.719758065576392,2.6636357967013904,2.4614654376103062,2.2621285128065645,2.845624194819957,2.1225120466447374,null,null,{"$f":"AH250+AH251","v":2.5258107736493551},2.5361041069734678,3.9248140227923081,3.6215186661347549,3.3291762086895345,4.1926849711045762,3.1175978123866606,null,null,{"$f":"AQ250+AQ251","v":0.77114725934148409},0.7834028957875947,1.2269773588956872,1.1548239379671894,1.0581053853383706,1.3112954182993808,1.0160819837329209,null,null,{"$f":"AZ250+AZ251","v":4.0476055331335301},4.0913365005640818,6.3854481765848536,5.9799300834608173,5.4822274087593161,6.8253948392076049,5.2329226909768183,null,null,{"$f":"BI250+BI251","v":0.77114725934148409},0.7834028957875947,1.2269773588956872,1.1548239379671894,1.0581053853383706,1.3112954182993808,1.0160819837329209]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"9. Baseline Parking Costs (at present, i.e., in 2010, prior to comprehensive parking management)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254},{"$f":"CONCATENATE(\"Figs in Row \",$O256, \" are chosen so wghtd % (in last column) equals % for paid lot or garage shown in Parking worksheet. Most figs in Row \",$O258, \" are set to equal those. Row \",$O257, \" figures are rough-est'd, and Row \",$O259, \" are set to make sum = 100%. Figs were changed slightly 4/2019.\")","v":"Figs in Row 256 are chosen so wghtd % (in last column) equals % for paid lot or garage shown in Parking worksheet. Most figs in Row 258 are set to equal those. Row 257 figures are rough-est'd, and Row 259 are set to make sum = 100%. Figs were changed slightly 4/2019."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs in Row \",$O256, \" are chosen so wghtd % (in last column) equals % for paid lot or garage shown in Parking worksheet. Most figs in Row \",$O258, \" are set to equal those. Row \",$O257, \" figures are rough-est'd, and Row \",$O259, \" are set to make sum = 100%. Figs were changed slightly 4/2019.\")","v":"Figs in Row 256 are chosen so wghtd % (in last column) equals % for paid lot or garage shown in Parking worksheet. Most figs in Row 258 are set to equal those. Row 257 figures are rough-est'd, and Row 259 are set to make sum = 100%. Figs were changed slightly 4/2019."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Note: The parking category \"Provided or reimbursed parking\" doesn't apply to trucks and so is left blank, below.",null,null,null,null,null,null,null,null,"Note: The parking category \"Provided or reimbursed parking\" doesn't apply to buses and so is left blank, below."]
[null,"Percentage breakdown of payment",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"% purchasing off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":256},0.04,0.14000000000000001,0.47,0.47,0.47,0.33,0.28000000000000003,{"$f":"SUMPRODUCT(P$139:V$139,P256:V256)/W$139","v":0.39011904109720053},null,0.08,0.23,0.5,0.5,0.5,0.35,0.3,{"$f":"SUMPRODUCT(Y$139:AE$139,Y256:AE256)/AF$139","v":0.36019136594024631},null,"Any paid parking for through-trips is paid outside the CBD, where parking is often free (at homes, stores, office parks, factories, etc.). Our simple approach is to assume an average parking cost equal to a constant percent of the mean costs for work and non-work auto trips shown in the previous two column blocks. The percentage is selected directly below.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.01,0.02,0.03,0.03,0.03,0.03,0.02,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ256:BF256)/BG$139","v":2.6722983848219053E-2}]
[null,"% purchasing on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257},0.01,0.02,0.05,0.04,0.04,0.04,0.02,{"$f":"SUMPRODUCT(P$139:V$139,P257:V257)/W$139","v":3.9607893757349272E-2},null,0.09,0.09,0.09,0.09,0.1,0.1,0.09,{"$f":"SUMPRODUCT(Y$139:AE$139,Y257:AE257)/AF$139","v":9.614428562296215E-2},null,null,null,null,null,null,null,null,null,null,"Parking Costs are not applicable to Taxicabs",null,null,null,null,null,null,null,null,0.03,0.06,0.09,0.09,0.09,0.09,0.06,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ257:BF257)/BG$139","v":8.0168951544657155E-2}]
[null,"% whose parking is provided or reimbursed",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258},0.15,0.15,0.44,0.44,0.44,0.31,0.25,{"$f":"SUMPRODUCT(P$139:V$139,P258:V258)/W$139","v":0.36983152106404066},null,0.2,0.35,0.4,0.4,0.4,0.35,0.25,{"$f":"SUMPRODUCT(Y$139:AE$139,Y258:AE258)/AF$139","v":0.33588501458117531}]
[null,"% parking w/o paying",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259},{"$f":"1-SUM(P256:P258)","v":0.8},0.69,4.0000000000000036E-2,5.0000000000000044E-2,5.0000000000000044E-2,0.32000000000000006,0.44999999999999996,{"$f":"SUMPRODUCT(P$139:V$139,P259:V259)/W$139","v":0.20044154408140957},null,0.63,0.35,0.05,0.05,0.04,0.16,0.38,{"$f":"SUMPRODUCT(Y$139:AE$139,Y259:AE259)/AF$139","v":0.20666743344576485},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ256-AZ257","v":0.96},0.91999999999999993,0.88,0.88,0.88,0.88,0.91999999999999993,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ259:BF259)/BG$139","v":0.89310806460712366}]
[null,"Parking charges (rates paid for trips that pay for parking)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260},{"$f":"CONCATENATE(\"This note applies to this and next column-blocks. Figs in Rows \",O261, \" through \",O263, \" are chosen so wghtd figures in last column match figures in Parking worksheet.\")","v":"This note applies to this and next column-blocks. Figs in Rows 261 through 263 are chosen so wghtd figures in last column match figures in Parking worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AF256:AF259)","v":0.99888809959014868}]
[null,"Purchased off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":261},10,20,35,35,35,27,15,{"$f":"SUMPRODUCT(P$139:V$139,P261:V261)/W$139","v":30.050999804692069},null,{"$f":"P261","v":10},{"$f":"Q261","v":20},35,35,35,27,15,{"$f":"SUMPRODUCT(Y$139:AE$139,Y261:AE261)/AF$139","v":25.97678006298905},null,"Assumed parking cost for through-trips, % of mean for auto work and non-work:",null,null,null,null,null,0.12,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1.5*Y261","v":15},30,52.5,52.5,52.5,40.5,22.5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ261:BF261)/BG$139","v":41.257471069827332}]
[null,"Purchased on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262},2,3,3,4,3,3,3,{"$f":"SUMPRODUCT(P$139:V$139,P262:V262)/W$139","v":3.0399438720491463},null,{"$f":"P262","v":2},3,3,4,3,3,3,{"$f":"SUMPRODUCT(Y$139:AE$139,Y262:AE262)/AF$139","v":2.9385503177558308},null,null,null,null,null,null,null,"(changed on 4/11/2019, from 10%)",null,null,null,null,null,null,null,null,null,null,null,3,4.5,4.5,6,4.5,4.5,4.5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ262:BF262)/BG$139","v":4.4528621539911519}]
[null,"Provided or reimbursed parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263},6.25,6.25,6.25,6.25,6.25,6.25,6.25,{"$f":"SUMPRODUCT(P$139:V$139,P263:V263)/W$139","v":6.2500000000000009},null,{"$f":"P263","v":6.25},{"$f":"Q263","v":6.25},6.25,6.25,6.25,6.25,6.25,{"$f":"SUMPRODUCT(Y$139:AE$139,Y263:AE263)/AF$139","v":6.2500000000000009}]
[null,"Average parking charges (rates paid times percentage of trips that pay for parking)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"Purchased off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":265},{"$f":"P256*P261","v":0.4},{"$f":"Q256*Q261","v":2.8000000000000003},16.45,16.45,16.45,8.91,4.2,{"$f":"SUMPRODUCT(P$139:V$139,P265:V265)/W$139","v":12.514540681127709},null,{"$f":"Y256*Y261","v":0.8},{"$f":"Z256*Z261","v":4.6000000000000005},17.5,17.5,17.5,9.4499999999999993,4.5,{"$f":"SUMPRODUCT(Y$139:AE$139,Y265:AE265)/AF$139","v":10.346893929041963},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ256*AZ261","v":0.15},{"$f":"BA256*BA261","v":0.6},1.575,1.575,1.575,1.2149999999999999,0.45]
[null,"Purchased on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266},{"$f":"P257*P262","v":0.02},{"$f":"Q257*Q262","v":0.06},0.15000000000000002,0.16,0.12,0.12,0.06,{"$f":"SUMPRODUCT(P$139:V$139,P266:V266)/W$139","v":0.12149843474484455},null,{"$f":"Y257*Y262","v":0.18},{"$f":"Z257*Z262","v":0.27},0.27,0.36,0.30000000000000004,0.30000000000000004,0.27,{"$f":"SUMPRODUCT(Y$139:AE$139,Y266:AE266)/AF$139","v":0.28290238546691121},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ257*AZ262","v":0.09},{"$f":"BA257*BA262","v":0.27},0.40499999999999997,0.54,0.40499999999999997,0.40499999999999997,0.27]
[null,"Provided or reimbursed parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267},{"$f":"P258*P263","v":0.9375},0.9375,2.75,2.75,2.75,1.9375,1.5625,{"$f":"SUMPRODUCT(P$139:V$139,P267:V267)/W$139","v":2.3114470066502548},null,{"$f":"Y258*Y263","v":1.25},2.1875,2.5,2.5,2.5,2.1875,1.5625,{"$f":"SUMPRODUCT(Y$139:AE$139,Y267:AE267)/AF$139","v":2.0992813411323463}]
[null,"Amount paid for parking (sum of three prior rows)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268},{"$f":"SUM(P265:P267)","v":1.3574999999999999},{"$f":"SUM(Q265:Q267)","v":3.7975000000000003},19.349999999999998,19.36,19.32,10.967499999999999,5.8224999999999998,{"$f":"SUMPRODUCT(P$139:V$139,P268:V268)/W$139","v":14.947486122522809},null,{"$f":"SUM(Y265:Y267)","v":2.23},7.057500000000001,20.27,20.36,20.3,11.9375,6.3324999999999996,{"$f":"SUMPRODUCT(Y$139:AE$139,Y268:AE268)/AF$139","v":12.729077655641218},null,{"$f":"$AN$261*AVERAGE(P268,Y268)","v":0.21525},0.65129999999999999,2.3771999999999998,2.3832,2.3772000000000002,1.3743000000000001,0.72929999999999995,{"$f":"SUMPRODUCT(AH$139:AN$139,AH268:AN268)/AO$139","v":1.343563616924321},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ265+AZ266","v":0.24},0.87,1.98,2.1150000000000002,1.98,1.6199999999999999,0.72,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ268:BF268)/BG$139","v":1.5391110049148937}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gasoline Costs don't figure into Taxi usage algorithm, but are shown here for interest and completeness.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fuel cost figures Include adder for higher diesel cost, from Cell W\",O277, \".\")","v":"Fuel cost figures Include adder for higher diesel cost, from Cell W277."},null,null,null,null,null,null,null,null,"Gasoline Costs don't figure into UberLyft usage algorithm, but are shown here for interest and completeness."]
[null,"10. Baseline Trip Costs (w/o cordon fee; based on 2018 prices and conditions) shown for each trip type; each entry is sum of respective entries in 4 next rows",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270},{"$f":"SUM(P271:P274)","v":10.550391206516666},{"$f":"SUM(Q271:Q274)","v":14.462130604296124},33.002387018325408,32.175581983194476,31.557504901263624,25.02239787598586,17.655117149394325,{"$f":"SUMPRODUCT(P$139:V$139,P270:V270)/W$139","v":27.871824758685438},null,{"$f":"SUM(Y271:Y274)","v":11.422891206516667},17.722130604296126,33.922387018325409,33.175581983194476,32.537504901263624,25.992397875985858,18.165117149394327,{"$f":"SUMPRODUCT(Y$139:AE$139,Y270:AE270)/AF$139","v":25.466352866367778},null,{"$f":"SUM(AH271:AH274)","v":14.695338453768933},17.312068245579184,23.516146790234046,22.19167046714692,21.337877340555778,23.064612645949509,19.076399991277441,{"$f":"SUMPRODUCT(AH$139:AN$139,AH270:AN270)/AO$139","v":20.445042116597243},null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AZ271:AZ274)","v":22.101020416914032},25.838237553260747,34.266453799767007,33.10785108270133,31.385179550403542,35.309883653533589,29.329897500677376]
[null,"Fuel",{"$f":"CONCATENATE(\"Fuel costs are calc'd from gallons est'd in  Row \",O252, \" and gas price in Row \",O277, \". Parking is derived in Rows \",O254, \"-\",O268, \". Tolls are from 'Bridges', Rows \",Bridges!O46, \" (peak) and \",Bridges!O55, \" (off-pk).\")","v":"Fuel costs are calc'd from gallons est'd in  Row 252 and gas price in Row 277. Parking is derived in Rows 254-268. Tolls are from 'Bridges', Rows 46 (peak) and 55 (off-pk)."},null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":271},{"$f":"P252*$V$277/100","v":4.9641117425056294},4.9872983901715369,7.7245438104340325,7.1382497690698878,6.5601726871390369,8.2523101649778763,6.155284935269739,{"$f":"SUMPRODUCT(P$139:V$139,P271:V271)/W$139","v":7.1904685672067554},null,{"$f":"Y252*$V$277/100","v":4.9641117425056294},4.9872983901715369,7.7245438104340325,7.1382497690698878,6.5601726871390369,8.2523101649778763,6.155284935269739,{"$f":"SUMPRODUCT(Y$139:AE$139,Y271:AE271)/AF$139","v":7.1462600083816818},null,{"$f":"AH252*$V$277/100","v":7.3248512435831294},7.3547019102230573,11.381960666097694,10.50240413179079,9.6546110051996497,12.15878641620327,9.041033655921316,{"$f":"SUMPRODUCT(AH$139:AN$139,AH271:AN271)/AO$139","v":10.057383717401706},null,{"$f":"AQ252*$V$277/100","v":2.2363270520903038},2.2718683977840244,3.558234340797493,3.3489894201048491,3.0685056174812746,3.8027567130682041,2.9466377528254708,null,null,{"$f":"AZ252*$V$277*(1+$W$278)/100","v":12.911861650695961},13.05136343679942,20.369579683305684,19.07597696624001,17.488305433942219,21.773009537072262,16.693023384216055,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ271:BF271)/BG$139","v":18.810671283060959},null,{"$f":"BI252*$V$277/100","v":2.2363270520903038},2.2718683977840244,3.558234340797493,3.3489894201048491,3.0685056174812746,3.8027567130682041,2.9466377528254708]
[null,"Parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272},{"$f":"P268","v":1.3574999999999999},{"$f":"Q268","v":3.7975000000000003},19.349999999999998,19.36,19.32,10.967499999999999,5.8224999999999998,{"$f":"SUMPRODUCT(P$139:V$139,P272:V272)/W$139","v":14.947486122522809},null,{"$f":"Y268","v":2.23},7.057500000000001,20.27,20.36,20.3,11.9375,6.3324999999999996,{"$f":"SUMPRODUCT(Y$139:AE$139,Y272:AE272)/AF$139","v":12.729077655641218},null,{"$f":"AH268","v":0.21525},0.65129999999999999,2.3771999999999998,2.3832,2.3772000000000002,1.3743000000000001,0.72929999999999995,{"$f":"SUMPRODUCT(AH$139:AN$139,AH272:AN272)/AO$139","v":1.343563616924321},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ268","v":0.24},0.87,1.98,2.1150000000000002,1.98,1.6199999999999999,0.72,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ272:BF272)/BG$139","v":1.5391110049148937}]
[null,"Tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$46","v":3.0307377076642803},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"0.5*Bridges!$M$46+0.5*Bridges!$M$55","v":2.9054822107808835},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"SUMPRODUCT(P$139:V$139,P273:V273)/W$139","v":2.8887675444159924},null,{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$46","v":3.0307377076642803},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"0.5*Bridges!$M$46+0.5*Bridges!$M$55","v":2.9054822107808835},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"SUMPRODUCT(Y$139:AE$139,Y273:AE273)/AF$139","v":2.8529886123654693},null,{"$f":"Bridges!$M$55*$AM$275","v":5.0044080850154771},{"$f":"Bridges!$M$55*$AM$275","v":5.0044080850154771},{"$f":"Bridges!$M$46*$AM$275","v":5.4553278737957047},{"$f":"Bridges!$M$55*$AM$275","v":5.0044080850154771},{"$f":"Bridges!$M$55*$AM$275","v":5.0044080850154771},{"$f":"(0.5*Bridges!$M$46+0.5*Bridges!$M$55)*$AM$275","v":5.2298679794055909},{"$f":"Bridges!$M$55*$AM$275","v":5.0044080850154771},{"$f":"SUMPRODUCT(AH$139:AN$139,AH273:AN273)/AO$139","v":5.1277227067785001},null,null,null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"'Policy Levers'!$E$98*Bridges!$M$55","v":5.9814434159748195},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ273:BF273)/BG$139","v":5.9814434159748195}]
[null,"Other (perceived cost of citations, incremental maint. crashes, etc.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274},{"$f":"2*$I$101*'Trip Price'!$N$22","v":1.4485527501135496},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"SUMPRODUCT(P$139:V$139,P274:V274)/W$139","v":2.8451025245398829},null,{"$f":"2*$J$101*'Trip Price'!$N$22","v":1.4485527501135496},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.8971055002270991},{"$f":"SUMPRODUCT(Y$139:AE$139,Y274:AE274)/AF$139","v":2.7380265899794094},null,{"$f":"2*$K$101*'Trip Price'!$N$22","v":2.1508291251703247},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.3016582503406493},{"$f":"SUMPRODUCT(AH$139:AN$139,AH274:AN274)/AO$139","v":3.9163720754927183},null,null,null,null,null,null,null,null,null,null,{"$f":"2*$BF$275*$M$101*'Trip Price'!$N$22","v":2.9677153502432523},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":5.9354307004865046},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ274:BF274)/BG$139","v":5.6689365348941383}]
[null,null,null,null,null,null,null,null,null,null,null,0.35,null,null,{"$f":"ROW()","v":275},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"# of tolls (baseline) for thru-trips, ratio to that for non-thru trips (Komanoff est.): ",{"$f":"1+$I$57","v":1.8},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumed current truck/auto ratio of per-mile \"other\" costs (Komanoff estimate):",2]
[null,"C. Calculate applicable toll for each trip type and time period, calculate average increase in trip cost, and estimate reduction in number of trips due to price impact (Congestion Charge Traffic Impacts, Round 1)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277},null,"Assumed Gasoline Price (cents/gallon) for CBD trips (rounded):",null,null,null,null,{"$f":"ROUND(S278*(1+U278),-1)","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278},null,"Projection for 2015-2018 (approx)",null,275,"NYC adder:",0.05,"Diesel adder:",0.1]
[null,"1. New Cordon Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"New Toll (tolls differ among trip periods and by vehicle type; figures in row don't yet reflect whether tolls: replace or add to current tolls; apply to entire cordon or just \"free\" bridges; include applicable discounts. They're inputted from 'Weekday Hours' tab).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"This line is nominal toll:",{"$f":"ROW()","v":282},{"$f":"VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"SUMPRODUCT(P$139:V$139,P$282:V$282)/W$139","v":10.280468418395474},null,{"$f":"VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"SUMPRODUCT(Y$139:AE$139,Y$282:AE$282)/AF$139","v":9.0851292007847491},null,{"$f":"VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},{"$f":"SUMPRODUCT(AH$139:AN$139,AH$282:AN$282)/AO$139","v":7.5752372889949102},null,{"$f":"VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ$282:AW$282)/AX$139","v":9.3280590878187404},null,{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":2.4996756756756759E-5},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":2.4996756756756759E-5},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":30.596030270270273},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":30.596030270270273},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":30.596030270270273},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":30.596030270270273},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)*(1+$M91)","v":2.4996756756756759E-5},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ$282:BF$282)/BG$139","v":23.317122403085939},null,{"$f":"VLOOKUP('Weekday Hours'!$H$58,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$40,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekday Hours'!$H$41,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$44,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$45,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$49,'Weekday Hours'!$G$7:$H$11,2)","v":12.24},{"$f":"VLOOKUP('Weekday Hours'!$H$55,'Weekday Hours'!$G$7:$H$11,2)","v":1.0000000000000001E-5},{"$f":"SUMPRODUCT(BI$139:BO$139,BI$282:BO$282)/BP$139","v":7.8128595491078716}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283},"Auto tolls shown above are literally \"looked up\" from toll schedule in by Hour worksheet.",null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in by Hour worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Tolls shown above are literally 'looked up' from toll schedule in by Hour worksheet and are then 'marked up' by \",I57*100, \"%, per Cell I\",O57, \", to reflect share of through-entries that will pay second cordon toll when their return leg re-enters cordon.\")","v":"Tolls shown above are literally 'looked up' from toll schedule in by Hour worksheet and are then 'marked up' by 80%, per Cell I57, to reflect share of through-entries that will pay second cordon toll when their return leg re-enters cordon."},null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in by Hour worksheet.",null,null,null,null,null,null,null,null,"Truck tolls are \"looked up\" from toll schedule in by Hour worksheet, and then multiplied by toll ratio of truck-bus to auto from Policy Levers.",null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in by Hour worksheet."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"Port Authority Toll for Lincoln and Holland Tunnels (inbound) during period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/3*PA_Offpeak_Toll_EZPass+2/3*PA_Peak_Toll_EZPass","v":11.833333333333332},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"SUMPRODUCT(P$139:V$139,P286:V286)/W$139","v":11.595845225898529},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/3*PA_Offpeak_Toll_EZPass+2/3*PA_Peak_Toll_EZPass","v":11.833333333333332},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"SUMPRODUCT(Y$139:AE$139,Y286:AE286)/AF$139","v":11.318315597478239},null,{"$f":"P286*(1+$I$57)","v":18.900000000000002},18.900000000000002,22.5,22.5,18.900000000000002,21.299999999999997,18.900000000000002,{"$f":"SUMPRODUCT(AH$139:AN$139,AH286:AN286)/AO$139","v":20.196130603309882},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/3*PA_Offpeak_Toll_EZPass+2/3*PA_Peak_Toll_EZPass","v":11.833333333333332},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ286:AW286)/AX$139","v":11.427148288636891},null,{"$f":"PA_Offpeak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":26.246594594594594},{"$f":"PA_Offpeak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":26.246594594594594},{"$f":"PA_Peak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":31.245945945945948},{"$f":"PA_Peak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":31.245945945945948},{"$f":"PA_Offpeak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":26.246594594594594},{"$f":"(1/3*PA_Offpeak_Toll_EZPass+2/3*PA_Peak_Toll_EZPass)*'Policy Levers'!$K$98*(1+$M$91)","v":29.579495495495493},{"$f":"PA_Offpeak_Toll_EZPass*'Policy Levers'!$K$98*(1+$M$91)","v":26.246594594594594},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ286:BF286)/BG$139","v":28.564164619444572},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/3*PA_Offpeak_Toll_EZPass+2/3*PA_Peak_Toll_EZPass","v":11.833333333333332},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"SUMPRODUCT(BI$139:BO$139,BI286:BO286)/BP$139","v":11.258495743053544}]
[null,"Applies named ranges for PA Off-peak and On-peak tolls, as applicable (all assume E-ZPass). These figures will be pertinent if choice is made to charge differential betw cordon toll & PA toll.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287},null,null,null,null,null,"Wght avg pk/offpk",null,null,null,null,null,null,null,null,"Wght avg pk/offpk",null,null,null,"Tolls above apply PA tolls from prior column block but add 80%, per Cell I43, to reflect return leg re-entering cordon.",null,null,null,null,null,null,null,null,null,null,null,null,null,"Wght avg pk/offpk",null,null,null,"Toll rates above multiply respective auto tolls in earlier column blocks by (i) avg truck to auto toll ratio, and (ii) factor for truck through-trips.",null,null,null,null,null,null,null,null,null,null,null,null,null,"Wght avg pk/offpk"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"We now divide cordon-entering trips by \"portals\" so calculations can reflect different treatment by portal (as specified in toll scenarios in 'Policy Levers').",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),0)","v":0}]
[null,null,null,null,"Round-trips not in totals",null,"Round-trips paying\nfull toll",null,null,"Round-trips paying\nzero or contingent toll",null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,null,{"$f":"CONCATENATE(\"Figures directly to right are 1/2 of trips into Manhattan via QBB Upper Roadway that don't cross into CBD. (See 'Hub-Bound' tab, Row \",'Hub-Bound'!R115, \"). Under Move NY - Sam Schwartz Plan, these are tolled at same rate as trips on Triboro or other 'major' TBTA crossings. 1/2 converts one-way to round trips.\")","v":"Figures directly to right are 1/2 of trips into Manhattan via QBB Upper Roadway that don't cross into CBD. (See 'Hub-Bound' tab, Row 115). Under Move NY - Sam Schwartz Plan, these are tolled at same rate as trips on Triboro or other 'major' TBTA crossings. 1/2 converts one-way to round trips."},null,"QBB trips into Manhatt. that never enter cordon",null,null,"ER bridges, less QBB trips outside cordon",null,null,null,null,null,{"$f":"CONCATENATE(\"Figure in Cell M\",O297, \" should match figure in Cell H\",O39, \" save for rounding.\")","v":"Figure in Cell M297 should match figure in Cell H39 save for rounding."},{"$f":"ROW()","v":293}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,"East River tunnels","Hudson River tunnels",null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,"60th Street",null,null,null,null,null,"Total",null,{"$f":"ROW()","v":296},null,null,null,null,null,null,"% of auto work-trip crossings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of auto non-work-trip x-ings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of auto thru-trip crossings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of taxi crossings into cordon that are by vehicle that crosses more than once in same day:",0.9,null,null,null,null,null,null,null,"% of truck crossings into cordon that are by vehicle that crosses more than once in same day:",7.4999999999999997E-2,null,null,null,null,null,null,null,"% of UberLyft crossings into cordon that are by vehicle that crosses more than once in same day:",0.8]
[null,null,null,null,{"$f":"1/2*'Hub-Bound'!O97","v":10740.924999999999},null,{"$f":"1/2*'Hub-Bound'!O102","v":310769},{"$f":"1/2*'Hub-Bound'!O104","v":218718},null,{"$f":"1/2*'Hub-Bound'!O105","v":69588.5},{"$f":"1/2*'Hub-Bound'!O103","v":100247.5},null,{"$f":"SUM(G297:K297)","v":699323},null,{"$f":"ROW()","v":297},null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,"Komanoff estimate. ",null,null,null,null,null,null,null,null,null,"Komanoff estimate. Combines prior 5% and 15% for trucks and buses alone, respectively.",null,null,null,null,null,null,null,"Komanoff estimate. "]
[null,null,null,null,{"$f":"E297/$M$297","v":1.535903295043921E-2},null,{"$f":"G297/$M$297","v":0.44438549854645137},{"$f":"H297/$M$297","v":0.31275676618672632},null,{"$f":"J297/$M$297","v":9.9508381677708299E-2},{"$f":"K297/$M$297","v":0.14334935358911405},null,{"$f":"SUM(F298:K298)","v":1},null,{"$f":"ROW()","v":298},null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such taxi trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$78","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such truck trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$79","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$78","v":1}]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"%'s in Row \",O298, \" are respective ratios of figures in Row \",O297, \" to total in Cell M\",O297, \".\")","v":"%'s in Row 298 are respective ratios of figures in Row 297 to total in Cell M297."},null,null,null,null,null,null,null,{"$f":"ROW()","v":299},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O78, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 78."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O79, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 79."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O78, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 78."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon-crossing trips paying full toll (60th St + ER bridges, or ER bridges alone, depending upon plan inputs):",{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs in columns are product of nominal toll in Row \",$O$282, \" and either (i) sum of Cells G\",$O$298, \" and H\",$O$298, \" or cell H\",$O$298,\" alone, depending upon IF stmnt keyed to plan selected.\")","v":"Figs in columns are product of nominal toll in Row 282 and either (i) sum of Cells G298 and H298 or cell H298 alone, depending upon IF stmnt keyed to plan selected."},null,"Base Toll:",{"$f":"ROW()","v":302},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*P282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Q282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*R282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*S282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*T282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*U282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*V282","v":7.5714226473317774E-6},{"$f":"SUMPRODUCT(P$139:V$139,P302:V302)/W$139","v":7.7837771408218606},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Y282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Z282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AA282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AB282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AC282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AD282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AE282","v":7.5714226473317774E-6},{"$f":"SUMPRODUCT(Y$139:AE$139,Y302:AE302)/AF$139","v":6.8787352984756902},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AH282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AI282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AJ282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AK282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AL282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AM282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AN282","v":7.5714226473317774E-6},{"$f":"SUMPRODUCT(AH$139:AN$139,AH302:AN302)/AO$139","v":5.7355323168808239},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AQ282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AR282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AS282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AT282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AU282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AV282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AW282","v":7.5714226473317774E-6},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ302:AW302)/AX$139","v":7.0626677833159812},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AZ282","v":1.8926101021795175E-5},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BA282","v":1.8926101021795175E-5},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BB282","v":23.165547650677293},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BC282","v":23.165547650677293},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BD282","v":23.165547650677293},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BE282","v":23.165547650677293},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BF282","v":1.8926101021795175E-5},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ302:BF302)/BG$139","v":17.6543788633332},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BI282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BJ282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BK282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BL282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BM282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BN282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BO282","v":7.5714226473317774E-6},{"$f":"SUMPRODUCT(BI$139:BO$139,BI302:BO302)/BP$139","v":5.915446173053768}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as preceding note, except cell sum is multiplied by non-EZ-Pass % from 'Cordon' and applicable surcharge from 'Policy Levers'.\")","v":"Same as preceding note, except cell sum is multiplied by non-EZ-Pass % from 'Cordon' and applicable surcharge from 'Policy Levers'."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":303},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!P302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Q302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!R302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!S302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!T302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!U302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!V302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"SUMPRODUCT(P$139:V$139,P303:V303)/W$139","v":0.21494417267955809},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Y302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Z302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AA302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AB302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AC302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AD302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AE302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"SUMPRODUCT(Y$139:AE$139,Y303:AE303)/AF$139","v":0.18995200415725366},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AH302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AI302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AJ302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AK302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AL302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AM302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AN302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"SUMPRODUCT(AH$139:AN$139,AH303:AN303)/AO$139","v":0.15838316365242808},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AQ302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AR302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AS302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AT302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AU302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AV302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AW302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ303:AW303)/AX$139","v":0.19503118551967349},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AZ302*(1-Cordon!$J$110)","v":5.226325282162397E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BA302*(1-Cordon!$J$110)","v":5.226325282162397E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BB302*(1-Cordon!$J$110)","v":0.63970221453667742},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BC302*(1-Cordon!$J$110)","v":0.63970221453667742},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BD302*(1-Cordon!$J$110)","v":0.63970221453667742},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BE302*(1-Cordon!$J$110)","v":0.63970221453667742},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BF302*(1-Cordon!$J$110)","v":5.226325282162397E-7},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ303:BF303)/BG$139","v":0.48751471044171796},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BI302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BJ302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BK302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BL302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BM302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BN302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BO302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"SUMPRODUCT(BI$139:BO$139,BI303:BO303)/BP$139","v":0.16335137307942604}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"East River tunnels:",{"$f":"ROW()","v":304}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in columns are product of respective nominal toll in Row \",$O$282, \" and Cell J\",$O$298, \", but only if plan selected includes increment to tunnel tolls.\")","v":"Figures in columns are product of respective nominal toll in Row 282 and Cell J298, but only if plan selected includes increment to tunnel tolls."},null,"Base Toll:",{"$f":"ROW()","v":305},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",P282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Q282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",R282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",S282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",T282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",U282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",V282,0)","v":0},{"$f":"SUMPRODUCT(P$139:V$139,P305:V305)/W$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Y282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Z282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AA282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AB282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AC282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AD282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AE282,0)","v":0},{"$f":"SUMPRODUCT(Y$139:AE$139,Y305:AE305)/AF$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AH282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AI282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AJ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AK282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AL282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AM282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AN282,0)","v":0},{"$f":"SUMPRODUCT(AH$139:AN$139,AH305:AN305)/AO$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AQ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AR282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AS282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AT282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AU282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AV282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AW282,0)","v":0},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ305:AW305)/AX$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AZ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BA282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BB282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BC282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BD282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BE282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BF282,0)","v":0},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ305:BF305)/BG$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BI282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BJ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BK282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BL282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BM282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BN282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BO282,0)","v":0},{"$f":"SUMPRODUCT(BI$139:BO$139,BI305:BO305)/BP$139","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"See Note in Row \",$O$303,\".\")","v":"See Note in Row 303."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":306},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!P305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Q305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!R305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!S305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!T305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!U305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!V305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(P$139:V$139,P306:V306)/W$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Y305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Z305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AA305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AB305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AC305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AD305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AE305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(Y$139:AE$139,Y306:AE306)/AF$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AH305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AI305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AJ305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AK305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AL305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AM305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AN305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AH$139:AN$139,AH306:AN306)/AO$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AQ305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AR305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AS305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AT305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AU305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AV305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AW305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ306:AW306)/AX$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AZ305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BA305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BB305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BC305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BD305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BE305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BF305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ306:BF306)/BG$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BI305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BJ305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BK305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BL305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BM305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BN305*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BO305*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(BI$139:BO$139,BI306:BO306)/BP$139","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Hudson River tunnels:",{"$f":"ROW()","v":307}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in columns are product of Cell K\",$O$298, \" and ouput of IF statement depending on plan's treatment of trips using these tunnels.\")","v":"Figures in columns are product of Cell K298 and ouput of IF statement depending on plan's treatment of trips using these tunnels."},null,"Base Toll:",{"$f":"ROW()","v":308},{"$f":"$K$298*(IF('Policy Levers'!$K$54=\"FLAT\",'Policy Levers'!$K$27*'Policy Levers'!$K$57,IF('Policy Levers'!$K$54=\"%\",'Policy Levers'!$K$58*P282,IF('Policy Levers'!$K$54=\"FULL\",P282,0))))","v":0},{"$f":"$K$298*(IF('Policy Levers'!$K$54=\"FLAT\",'Policy Levers'!$K$27*'Policy Levers'!$K$57,IF('Policy Levers'!$K$54=\"%\",'Policy Levers'!$K$58*Q282,IF('Policy Levers'!$K$54=\"FULL\",Q282,0))))","v":0},{"$f":"$K$298*(IF('Policy Levers'!$K$54=\"FLAT\",'Policy Levers'!$K$27*'Policy Levers'!$K$57,IF('Policy Levers'!$K$54=\"%\",'Policy Levers'!$K$58*R282,IF('Policy 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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Harlem River tolls:",{"$f":"ROW()","v":313}]
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[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"See Note in Row \",$O$303,\".\")","v":"See Note in Row 303."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":315},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!P314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Q314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!R314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!S314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!T314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!U314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!V314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(P$139:V$139,P315:V315)/W$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Y314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!Z314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AA314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AB314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AC314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AD314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AE314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(Y$139:AE$139,Y315:AE315)/AF$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AH314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AI314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AJ314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AK314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AL314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AM314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AN314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AH$139:AN$139,AH315:AN315)/AO$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AQ314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AR314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AS314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AT314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AU314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AV314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AW314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ315:AW315)/AX$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!AZ314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BA314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BB314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BC314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BD314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BE314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BF314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ315:BF315)/BG$139","v":0},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BI314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BJ314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BK314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BL314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BM314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BN314*(1-Cordon!$J$110)","v":0},{"$f":"'Policy Levers'!$K$95*'Motor Vs'!BO314*(1-Cordon!$J$110)","v":0},{"$f":"SUMPRODUCT(BI$139:BO$139,BI315:BO315)/BP$139","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Total for all 5 categories above:",{"$f":"ROW()","v":316}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O302,\", \",O305, \", \",O308, \", \",O311, \" and \",O314,\".\")","v":"Sum of Rows 302, 305, 308, 311 and 314."},null,"Base Toll:",{"$f":"ROW()","v":317},{"$f":"P302+P305+P308+P311+P314","v":7.5714226473317774E-6},{"$f":"Q302+Q305+Q308+Q311+Q314","v":7.5714226473317774E-6},9.2674213203340958,9.2674213203340958,9.2674213203340958,9.2674213203340958,7.5714226473317774E-6,{"$f":"SUMPRODUCT(P$139:V$139,P317:V317)/W$139","v":7.7837771408218606},null,{"$f":"Y302+Y305+Y308+Y311+Y314","v":7.5714226473317774E-6},{"$f":"Z302+Z305+Z308+Z311+Z314","v":7.5714226473317774E-6},9.2674213203340958,9.2674213203340958,9.2674213203340958,9.2674213203340958,7.5714226473317774E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y317:AE317)/AF$139","v":6.8787352984756902},null,{"$f":"AH302+AH305+AH308+AH311+AH314","v":7.5714226473317774E-6},{"$f":"AI302+AI305+AI308+AI311+AI314","v":7.5714226473317774E-6},9.2674213203340958,9.2674213203340958,9.2674213203340958,9.2674213203340958,7.5714226473317774E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH317:AN317)/AO$139","v":5.7355323168808239},null,{"$f":"AQ302+AQ305+AQ308+AQ311+AQ314","v":7.5714226473317774E-6},{"$f":"AR302+AR305+AR308+AR311+AR314","v":7.5714226473317774E-6},9.2674213203340958,9.2674213203340958,9.2674213203340958,9.2674213203340958,7.5714226473317774E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ317:AW317)/AX$139","v":7.0626677833159812},null,{"$f":"AZ302+AZ305+AZ308+AZ311+AZ314","v":1.8926101021795175E-5},{"$f":"BA302+BA305+BA308+BA311+BA314","v":1.8926101021795175E-5},23.165547650677293,23.165547650677293,23.165547650677293,23.165547650677293,1.8926101021795175E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ317:BF317)/BG$139","v":17.6543788633332},null,{"$f":"BI302+BI305+BI308+BI311+BI314","v":7.5714226473317774E-6},{"$f":"BJ302+BJ305+BJ308+BJ311+BJ314","v":7.5714226473317774E-6},9.2674213203340958,9.2674213203340958,9.2674213203340958,9.2674213203340958,7.5714226473317774E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI317:BO317)/BP$139","v":5.915446173053768}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O303,\", \",O306, \", \",O309, \", \",O312, \" and \",O315,\".\")","v":"Sum of Rows 303, 306, 309, 312 and 315."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":318},{"$f":"P303+P306+P309+P312+P315","v":2.0908013519592669E-7},{"$f":"Q303+Q306+Q309+Q312+Q315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,{"$f":"SUMPRODUCT(P$139:V$139,P318:V318)/W$139","v":0.21494417267955809},null,{"$f":"Y303+Y306+Y309+Y312+Y315","v":2.0908013519592669E-7},{"$f":"Z303+Z306+Z309+Z312+Z315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,{"$f":"SUMPRODUCT(Y$139:AE$139,Y318:AE318)/AF$139","v":0.18995200415725366},null,{"$f":"AH303+AH306+AH309+AH312+AH315","v":2.0908013519592669E-7},{"$f":"AI303+AI306+AI309+AI312+AI315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,{"$f":"SUMPRODUCT(AH$139:AN$139,AH318:AN318)/AO$139","v":0.15838316365242808},null,{"$f":"AQ303+AQ306+AQ309+AQ312+AQ315","v":2.0908013519592669E-7},{"$f":"AR303+AR306+AR309+AR312+AR315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ318:AW318)/AX$139","v":0.19503118551967349},null,{"$f":"AZ303+AZ306+AZ309+AZ312+AZ315","v":5.226325282162397E-7},{"$f":"BA303+BA306+BA309+BA312+BA315","v":5.226325282162397E-7},0.63970221453667742,0.63970221453667742,0.63970221453667742,0.63970221453667742,5.226325282162397E-7,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ318:BF318)/BG$139","v":0.48751471044171796},null,{"$f":"BI303+BI306+BI309+BI312+BI315","v":2.0908013519592669E-7},{"$f":"BJ303+BJ306+BJ309+BJ312+BJ315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,{"$f":"SUMPRODUCT(BI$139:BO$139,BI318:BO318)/BP$139","v":0.16335137307942604}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$317,\" and \",O318, \".\")","v":"Sum of Rows 317 and 318."},{"$f":"ROW()","v":320},{"$f":"P317+P318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,{"$f":"SUMPRODUCT(P$139:V$139,P320:V320)/W$139","v":7.9987213135014184},null,{"$f":"Y317+Y318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y320:AE320)/AF$139","v":7.0686873026329433},null,{"$f":"AH317+AH318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH320:AN320)/AO$139","v":5.8939154805332521},null,{"$f":"AQ317+AQ318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ320:AW320)/AX$139","v":7.2576989688356557},null,{"$f":"AZ317+AZ318","v":1.9448733550011414E-5},1.9448733550011414E-5,23.80524986521397,23.80524986521397,23.80524986521397,23.80524986521397,1.9448733550011414E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ320:BF320)/BG$139","v":18.141893573774919},null,{"$f":"BI317+BI318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI320:BO320)/BP$139","v":6.0787975461331927}]
[null,"Reductions for trips exiting/entering Bklyn Bridge that did not or will not enter cordon and thus will be exempted from cordon toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"# 1-way trips in either direcction that cd be exempted on typical day:",null,null,null,null,{"$f":"'Hub-Bound'!E131","v":28995.25},null,null,null,null,"# round-trips exempted, based on IF statement in 'Policy Levers':",{"$f":"IF('Policy Levers'!K68=\"Yes\",1,0)*G322*0.5","v":14497.625},{"$f":"CONCATENATE(\"Row \",O327, \" deducts 1 ppt from each mode in Row \",O326, \" and adds 4 ppt to Thru Trips.\")","v":"Row 327 deducts 1 ppt from each mode in Row 326 and adds 4 ppt to Thru Trips."},{"$f":"ROW()","v":322},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figure at right multiplied Cell H\",O327, \" (Auto Work trips' share of exempted BBr trips), x Cell L\",O322, \" (# of exempted trips).\")","v":"Figure at right multiplied Cell H327 (Auto Work trips' share of exempted BBr trips), x Cell L322 (# of exempted trips)."},{"$f":"-H327*$M$322","v":-5543.3569391188357},null,null,null,null,null,null,null,null,{"$f":"-I327*$M$322","v":-3854.7511629958321},null,null,null,null,null,null,null,null,{"$f":"-J327*$M$322","v":-3112.8136641845063},null,null,null,null,null,null,null,null,{"$f":"-K327*$M$322","v":-684.20479529025113},null,null,null,null,null,null,null,null,{"$f":"-L327*$M$322","v":0},null,null,null,null,null,null,null,null,{"$f":"-M327*$M$322","v":-1238.6723635694466}]
[null,{"$f":"CONCATENATE(\"Derived in 'Hub-Bound' tab, and calculated as \",'Hub-Bound'!E129*100, \"% of combined each-way Brooklyn Bridge trips (inbound and outbound).\")","v":"Derived in 'Hub-Bound' tab, and calculated as 25% of combined each-way Brooklyn Bridge trips (inbound and outbound)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323},{"$f":"CONCATENATE(\"Figures in 7 columns directly below multiply exempted % in Cell W\",O324, \" x net toll for mode and period in Row \",O320, \".\")","v":"Figures in 7 columns directly below multiply exempted % in Cell W324 x net toll for mode and period in Row 320."}]
[null,"Assumed shares of those trips by each of the six trip types:",null,null,null,null,{"$f":"H33","v":"Total"},"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",null,{"$f":"ROW()","v":324},{"$f":"$W$324*P320","v":-1.9109483424616023E-7},-1.9109483424616023E-7,-0.23390007711730013,-0.23390007711730013,-0.23390007711730013,-0.23390007711730013,-1.9109483424616023E-7,{"$f":"W322/W139","v":-2.4560730789184033E-2},null,{"$f":"$AF$324*Y320","v":-1.8898489067196581E-7},-1.8898489067196581E-7,-0.23131750618248617,-0.23131750618248617,-0.23131750618248617,-0.23131750618248617,-1.8898489067196581E-7,{"$f":"AF322/AF139","v":-2.4289547340868509E-2},null,{"$f":"$AO$324*AH320","v":-2.4098761567838617E-7},{"$f":"$AO$324*AI320","v":-2.4098761567838617E-7},-0.2949688415903447,-0.2949688415903447,-0.2949688415903447,-0.2949688415903447,-2.4098761567838617E-7,{"$f":"AO322/AO139","v":-3.0973270290393103E-2},null,{"$f":"$AX$324*AQ320","v":-1.6180721317855917E-7},{"$f":"$AX$324*AR320","v":-1.6180721317855917E-7},-0.19805202893055643,-0.19805202893055643,-0.19805202893055643,-0.19805202893055643,-1.6180721317855917E-7,{"$f":"AX322/AX139","v":-2.07964983370897E-2},null,{"$f":"$BG$324*AZ320","v":0},{"$f":"$BG$324*BA320","v":0},0,0,0,0,0,{"$f":"BG322/BG139","v":0},null,{"$f":"$BP$324*BI320","v":-1.7554633463373856E-7},{"$f":"$BP$324*BJ320","v":-1.7554633463373856E-7},-0.21486871359169601,-0.21486871359169601,-0.21486871359169601,-0.21486871359169601,-1.7554633463373856E-7,{"$f":"BP322/BP139","v":-2.2562338134234E-2}]
[null,{"$f":"CONCATENATE(\"1. Calculated from daily trips in Row \",O85, \".\")","v":"1. Calculated from daily trips in Row 85."},null,null,null,null,{"$f":"SUM(H325:M325)","v":1},{"$f":"I85/$H85","v":0.36794913596348222},0.25872187805673297,0.16384088686012391,5.3635474404955981E-2,6.6351483534398431E-2,8.9501141180306484E-2,null,{"$f":"ROW()","v":325},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell W\",324, \" divides exempted Auto Work trips in Cell W\",O322, \" by total Auto Work trips in Cell W\",O139, \".\")","v":"Cell W324 divides exempted Auto Work trips in Cell W322 by total Auto Work trips in Cell W139."}]
[null,"2. Same %'s, but w/ Truck/Bus allocated (since = 0 on Bklyn Br)",null,null,null,null,{"$f":"SUM(H326:M326)","v":0.9955974806327843},{"$f":"H325+H325*$L$325","v":0.39236310699985932},{"$f":"I325+I325*$L$325","v":0.27588845848860294},{"$f":"J325+J325*$L$325","v":0.17471197276688466},{"$f":"K325+K325*$L$325","v":5.7194267701796066E-2},null,{"$f":"M325+M325*$L$325","v":9.5439674675641462E-2},null,{"$f":"ROW()","v":326}]
[null,"3. Same, but adj'd for presumed higher # thru trips avoiding cordon",null,null,null,null,{"$f":"SUM(H327:M327)","v":0.99559748063278442},{"$f":"H326-1%","v":0.38236310699985931},{"$f":"I326-1%","v":0.26588845848860293},{"$f":"J326+4%","v":0.21471197276688467},{"$f":"K326-1%","v":4.7194267701796064E-2},null,{"$f":"M326-1%","v":8.5439674675641467E-2},null,{"$f":"ROW()","v":327},{"$f":"P320+P324","v":7.5894079482815437E-6},7.5894079482815437E-6,9.2894353286966105,9.2894353286966105,9.2894353286966105,9.2894353286966105,7.5894079482815437E-6,{"$f":"SUMPRODUCT(P$139:V$139,P327:V327)/W$139","v":7.8022668726628019},null,{"$f":"Y320+Y324","v":7.5915178918557378E-6},7.5915178918557378E-6,9.2920178996314231,9.2920178996314231,9.2920178996314231,9.2920178996314231,7.5915178918557378E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y327:AE327)/AF$139","v":6.8969920877578437},null,{"$f":"AH320+AH324","v":7.5395151668493171E-6},7.5395151668493171E-6,9.228366564223565,9.228366564223565,9.228366564223565,9.228366564223565,7.5395151668493171E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH327:AN327)/AO$139","v":5.7113616432859642},null,{"$f":"AQ320+AQ324","v":7.6186955693491444E-6},7.6186955693491444E-6,9.3252833768833536,9.3252833768833536,9.3252833768833536,9.3252833768833536,7.6186955693491444E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ327:AW327)/AX$139","v":7.1067642442991668},null,{"$f":"AZ320+AZ324","v":1.9448733550011414E-5},1.9448733550011414E-5,23.80524986521397,23.80524986521397,23.80524986521397,23.80524986521397,1.9448733550011414E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ327:BF327)/BG$139","v":18.141893573774919},null,{"$f":"BI320+BI324","v":7.6049564478939655E-6},7.6049564478939655E-6,9.3084666922222148,9.3084666922222148,9.3084666922222148,9.3084666922222148,7.6049564478939655E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI327:BO327)/BP$139","v":5.9416456604477847}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328},{"$f":"CONCATENATE(\"Each figure directly above is sum of Rows \",O320, \" and \",O324, \".\")","v":"Each figure directly above is sum of Rows 320 and 324."}]
[null,"Reductions for trips that will be exempted or will receive discount from cordon toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329},{"$f":"CONCATENATE(\"Entire process in above array (Rows \",O322, \"-\",O328, \") is carried out for the five other 'modes' to right (Auto non-work, Auto thru, etc.\")","v":"Entire process in above array (Rows 322-328) is carried out for the five other 'modes' to right (Auto non-work, Auto thru, etc."}]
[null,"Share of trips exempt due to toll-collection error/failure, special designation, privilege, etc.",null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!$K$85","v":0.04},null,null,{"$f":"CONCATENATE(\"From 'Policy Levers,' Cell K\",'Policy Levers'!O85, \". Applies to all.\")","v":"From 'Policy Levers,' Cell K85. Applies to all."},{"$f":"ROW()","v":330},{"$f":"-$K$330*P320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,{"$f":"SUMPRODUCT(P$139:V$139,P330:V330)/W$139","v":-0.31994885254005678},null,{"$f":"-$K$330*Y320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,{"$f":"SUMPRODUCT(Y$139:AE$139,Y330:AE330)/AF$139","v":-0.2827474921053178},null,{"$f":"-$K$330*AH320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,{"$f":"SUMPRODUCT(AH$139:AN$139,AH330:AN330)/AO$139","v":-0.23575661922133007},null,{"$f":"-$K$330*AQ320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ330:AW330)/AX$139","v":-0.29030795875342619},null,{"$f":"-$K$330*AZ320","v":-7.779493420004566E-7},-7.779493420004566E-7,-0.95220999460855882,-0.95220999460855882,-0.95220999460855882,-0.95220999460855882,-7.779493420004566E-7,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ330:BF330)/BG$139","v":-0.72567574295099668},null,{"$f":"-$K$330*BI320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,{"$f":"SUMPRODUCT(BI$139:BO$139,BI330:BO330)/BP$139","v":-0.2431519018453277}]
[null,"Share of trips discounted due to policy providing toll break on day's second (or third etc.) trip into CBD ",null,null,null,null,null,null,null,null,null,null,null,"Applied in selected column blocks further to right.",{"$f":"ROW()","v":331},{"$f":"-0.5*$W$296*$W$298*P320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,{"$f":"SUMPRODUCT(P$139:V$139,P331:V331)/W$139","v":-3.9993606567507098E-2},null,{"$f":"-0.5*$AF$296*$AF$298*Y320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,{"$f":"SUMPRODUCT(Y$139:AE$139,Y331:AE331)/AF$139","v":-3.5343436513164725E-2},null,{"$f":"-0.5*$AO$296*$AO$298*AH320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,{"$f":"SUMPRODUCT(AH$139:AN$139,AH331:AN331)/AO$139","v":-2.9469577402666258E-2},null,{"$f":"-0.5*$AX$296*$AX$298*AQ320","v":-3.5012262521374666E-6},-3.5012262521374666E-6,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-3.5012262521374666E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ331:AW331)/AX$139","v":-3.2659645359760452},null,{"$f":"-0.5*$BG$296*$BG$298*AZ320","v":-7.29327508125428E-7},-7.29327508125428E-7,-0.89269686994552389,-0.89269686994552389,-0.89269686994552389,-0.89269686994552389,-7.29327508125428E-7,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ331:BF331)/BG$139","v":-0.68032100901655945},null,{"$f":"-0.5*$AX$296*$AX$298*BI320","v":-3.5012262521374666E-6},-3.5012262521374666E-6,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-3.5012262521374666E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI331:BO331)/BP$139","v":-2.7354588957599373}]
[null,{"$f":"CONCATENATE(\"Share trips discounted via carve-outs for medical, disabled, upstream tolls or other considerations not built into 'non-rev veh's' % in 'Policy Levers' Cell K \",'Policy Levers'!O85, \".\")","v":"Share trips discounted via carve-outs for medical, disabled, upstream tolls or other considerations not built into 'non-rev veh's' % in 'Policy Levers' Cell K 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!K88","v":0},null,null,{"$f":"CONCATENATE(\"From 'Policy Levers,' Cell K\",'Policy Levers'!O88, \". Applies to autos.\")","v":"From 'Policy Levers,' Cell K88. Applies to autos."},{"$f":"ROW()","v":333},{"$f":"-$K$333*P320","v":0},0,0,0,0,0,0,{"$f":"SUMPRODUCT(P$139:V$139,P333:V333)/W$139","v":0},null,{"$f":"-$K$333*Y320","v":0},0,0,0,0,0,0,{"$f":"SUMPRODUCT(Y$139:AE$139,Y333:AE333)/AF$139","v":0},null,{"$f":"-$K$333*AH320","v":0},0,0,0,0,0,0,{"$f":"SUMPRODUCT(AH$139:AN$139,AH333:AN333)/AO$139","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD, prior to possible exemption of some trips per month",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$327,\", \",O330, \",  \",O331,\" and \",O333,\".\")","v":"Sum of Rows 327, 330,  331 and 333."},{"$f":"ROW()","v":335},{"$f":"P327+P330+P331+P333","v":7.239285323067797E-6},{"$f":"Q327+Q330+Q331+Q333","v":7.239285323067797E-6},8.860885235434985,8.860885235434985,8.860885235434985,8.860885235434985,7.239285323067797E-6,{"$f":"SUMPRODUCT(P$139:V$139,P335:V335)/W$139","v":7.4423244135552382},null,{"$f":"Y327+Y330+Y331+Y333","v":7.2413952666419911E-6},{"$f":"Z327+Z330+Z331+Z333","v":7.2413952666419911E-6},8.8634678063697976,8.8634678063697976,8.8634678063697976,8.8634678063697976,7.2413952666419911E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y335:AE335)/AF$139","v":6.5789011591393614},null,{"$f":"AH327+AH330+AH331+AH333","v":7.1893925416355704E-6},{"$f":"AI327+AI330+AI331+AI333","v":7.1893925416355704E-6},8.7998164709619395,8.7998164709619395,8.7998164709619395,8.7998164709619395,7.1893925416355704E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH335:AN335)/AO$139","v":5.4461354466619669},null,{"$f":"AQ327+AQ330+AQ331","v":3.8062492059105699E-6},{"$f":"AR327+AR330+AR331","v":3.8062492059105699E-6},4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ335:AW335)/AX$139","v":3.5504917495696957},null,{"$f":"AZ327+AZ330+AZ331","v":1.7941456699885527E-5},{"$f":"BA327+BA330+BA331","v":1.7941456699885527E-5},21.960343000659886,21.960343000659886,21.960343000659886,21.960343000659886,1.7941456699885527E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ335:BF335)/BG$139","v":16.735896821807366},null,{"$f":"BI327+BI330+BI331","v":3.792510084455391E-6},{"$f":"BJ327+BJ330+BJ331","v":3.792510084455391E-6},4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI335:BO335)/BP$139","v":2.96303486284252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"Average Change to New Toll if Implement \"One Untolled Drive a Month into CBD\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337},{"$f":"-P335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-Q335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-R335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-S335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-T335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-U335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-V335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(P$139:V$139,P337:V337)/W$139","v":0},null,{"$f":"-Y335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-Z335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AA335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AB335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AC335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AD335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AE335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(Y$139:AE$139,Y337:AE337)/AF$139","v":0},null,{"$f":"-AH335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AI335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AJ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AK335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AL335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AM335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AN335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(AH$139:AN$139,AH337:AN337)/AO$139","v":0},null,{"$f":"-AQ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AR335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AS335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AT335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AU335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AV335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AW335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ337:AW337)/AX$139","v":0},null,{"$f":"-AZ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BA335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BB335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BC335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BD335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BE335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BF335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ337:BF337)/BG$139","v":0},null,{"$f":"-BI335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BJ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BK335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BL335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BM335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BN335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BO335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"SUMPRODUCT(BI$139:BO$139,BI337:BO337)/BP$139","v":0}]
[null,{"$f":"CONCATENATE(\"Product of (I) percent of CBD trips that qualify for exemption, shown in 'Incidence' Cell X\",Incidence!AA521, \"; (ii) Row \",O335, \"); and (iii) 'IF' statement reflecting applicability of exemption.\")","v":"Product of (I) percent of CBD trips that qualify for exemption, shown in 'Incidence' Cell X521; (ii) Row 335); and (iii) 'IF' statement reflecting applicability of exemption."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum Rows \",O$335,\" & \",O337, \".\")","v":"Sum Rows 335 & 337."},{"$f":"ROW()","v":338}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339},{"$f":"P335+P337","v":7.239285323067797E-6},7.239285323067797E-6,8.860885235434985,8.860885235434985,8.860885235434985,8.860885235434985,7.239285323067797E-6,{"$f":"SUMPRODUCT(P$139:V$139,P339:V339)/W$139","v":7.4423244135552382},null,{"$f":"Y335+Y337","v":7.2413952666419911E-6},7.2413952666419911E-6,8.8634678063697976,8.8634678063697976,8.8634678063697976,8.8634678063697976,7.2413952666419911E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y339:AE339)/AF$139","v":6.5789011591393614},null,{"$f":"AH335+AH337","v":7.1893925416355704E-6},7.1893925416355704E-6,8.7998164709619395,8.7998164709619395,8.7998164709619395,8.7998164709619395,7.1893925416355704E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH339:AN339)/AO$139","v":5.4461354466619669},null,{"$f":"AQ335+AQ337","v":3.8062492059105699E-6},3.8062492059105699E-6,4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ339:AW339)/AX$139","v":3.5504917495696957},null,{"$f":"AZ335+AZ337","v":1.7941456699885527E-5},1.7941456699885527E-5,21.960343000659886,21.960343000659886,21.960343000659886,21.960343000659886,1.7941456699885527E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ339:BF339)/BG$139","v":16.735896821807366},null,{"$f":"BI335+BI337","v":3.792510084455391E-6},3.792510084455391E-6,4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI339:BO339)/BP$139","v":2.96303486284252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,"Toll discount if plan selected exempts downstream/upstream MTA bridge tolls",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Additive inverse of figures from applicable columns in 'MTA Crossings' tab, Row \",'MTA Crossings'!AL391, \".\")","v":"Additive inverse of figures from applicable columns in 'MTA Crossings' tab, Row 391."},{"$f":"ROW()","v":341},{"$f":"$W341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!F391","v":0},null,{"$f":"$AF341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!G391","v":0},null,{"$f":"$AO341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!H391","v":0},null,{"$f":"$AX341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!I391","v":0},null,{"$f":"$BG341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!J391","v":0},null,{"$f":"$AX341","v":0},0,0,0,0,0,0,{"$f":"-'MTA Crossings'!AA391","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD (includes downstream/upstream discount, if applicable)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O339, \" and \",O341,\".\")","v":"Sum of Rows 339 and 341."},{"$f":"ROW()","v":343},{"$f":"P339+P341","v":7.239285323067797E-6},7.239285323067797E-6,8.860885235434985,8.860885235434985,8.860885235434985,8.860885235434985,7.239285323067797E-6,{"$f":"SUMPRODUCT(P$139:V$139,P343:V343)/W$139","v":7.4423244135552382},null,{"$f":"Y339+Y341","v":7.2413952666419911E-6},7.2413952666419911E-6,8.8634678063697976,8.8634678063697976,8.8634678063697976,8.8634678063697976,7.2413952666419911E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y343:AE343)/AF$139","v":6.5789011591393614},null,{"$f":"AH339+AH341","v":7.1893925416355704E-6},7.1893925416355704E-6,8.7998164709619395,8.7998164709619395,8.7998164709619395,8.7998164709619395,7.1893925416355704E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH343:AN343)/AO$139","v":5.4461354466619669},null,{"$f":"AQ339+AQ341","v":3.8062492059105699E-6},3.8062492059105699E-6,4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ343:AW343)/AX$139","v":3.5504917495696957},null,{"$f":"AZ339+AZ341","v":1.7941456699885527E-5},1.7941456699885527E-5,21.960343000659886,21.960343000659886,21.960343000659886,21.960343000659886,1.7941456699885527E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ343:BF343)/BG$139","v":16.735896821807366},null,{"$f":"BI339+BI341","v":3.792510084455391E-6},3.792510084455391E-6,4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI343:BO343)/BP$139","v":2.96303486284252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Final \"Effective\" Toll (avg'd over all vehicles entering CBD)",null,null,null,null,"Weighted avg toll. Will change as trip times resettle. Includes trucks and buses as well as double toll (where applicable) for through-trips.",null,null,null,null,{"$f":"(W345*W139+AF345*AF139+AO345*AO139+BG345*BG139+BP345*BP139)/(W139+AF139+AO139+BG139+BP139)","v":10.298893139914695},null,{"$f":"CONCATENATE(\"Sum of Rows \",O$273,\" and \",O343, \".\")","v":"Sum of Rows 273 and 343."},{"$f":"ROW()","v":345},{"$f":"P273+P343","v":2.7802339531828104},2.7802339531828104,11.891622943099264,11.641111949332473,11.641111949332473,11.766367446215868,2.7802339531828104,{"$f":"SUMPRODUCT(P$139:V$139,P345:V345)/W$139","v":10.33109195797123},null,{"$f":"Y273+Y343","v":2.7802339552927537},2.7802339552927537,11.894205514034077,11.643694520267285,11.643694520267285,11.768950017150681,2.7802339552927537,{"$f":"SUMPRODUCT(Y$139:AE$139,Y345:AE345)/AF$139","v":9.4318897715048315},null,{"$f":"AH273+AH343","v":5.0044152744080188},5.0044152744080188,14.255144344757644,13.804224555977417,13.804224555977417,14.02968445036753,5.0044152744080188,{"$f":"SUMPRODUCT(AH$139:AN$139,AH345:AN345)/AO$139","v":10.573858153440467},null,{"$f":"AQ273+AQ343","v":3.8062492059105699E-6},3.8062492059105699E-6,4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ345:AW345)/AX$139","v":3.5504917495696957},null,{"$f":"AZ273+AZ343","v":5.9814613574315194},5.9814613574315194,27.941786416634706,27.941786416634706,27.941786416634706,27.941786416634706,5.9814613574315194,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ345:BF345)/BG$139","v":22.717340237782185},null,{"$f":"BI273+BI343","v":3.792510084455391E-6},3.792510084455391E-6,4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI345:BO345)/BP$139","v":2.96303486284252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,"Near-Final Trip Cost - including new toll",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$270,\" and \",O343, \".\")","v":"Sum of Rows 270 and 343."},{"$f":"ROW()","v":347},{"$f":"P270+P343","v":10.550398445801989},14.462137843581447,41.863272253760393,41.036467218629461,40.418390136698605,33.883283111420845,17.655124388679649,{"$f":"W270+W345","v":38.202916716656667},null,{"$f":"Y270+Y343","v":11.422898447911933},17.722137845691392,42.785854824695207,42.039049789564274,41.400972707633422,34.855865682355656,18.165124390789593,{"$f":"SUMPRODUCT(Y$139:AE$139,Y347:AE347)/AF$139","v":32.045254025507141},null,{"$f":"AH270+AH343","v":14.695345643161474},17.312075434971725,32.315963261195989,30.99148693810886,30.137693811517718,31.864429116911449,19.076407180669982,{"$f":"SUMPRODUCT(AH$139:AN$139,AH347:AN347)/AO$139","v":25.891177563259216},null,{"$f":"AQ270+AQ343","v":3.8062492059105699E-6},3.8062492059105699E-6,4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ347:AW347)/AX$139","v":3.5504917495696957},null,{"$f":"AZ270+AZ343","v":22.101038358370733},25.838255494717448,56.226796800426897,55.06819408336122,53.345522551063425,57.270226654193479,29.329915442134077,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ347:BF347)/BG$139","v":48.736059060652174},null,{"$f":"BI270+BI343","v":3.792510084455391E-6},3.792510084455391E-6,4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6,{"$f":"SUMPRODUCT(BI$139:BO$139,BI347:BO347)/BP$139","v":2.96303486284252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Adjustment to Parking Costs (reflecting price change from change in vehicle entries)",null,null,null,null,null,null,"Extent to which volume of auto trips into CBD would have to fall for garage/lot owners to compensate by reducing their parking charges by entire toll increment: ",null,null,null,0.5,null,{"$f":"ROW()","v":349},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Cost of purchased off-street parking (paid lot or garage)",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O261, \".\")","v":"Reproduced from Row 261."},null,null,null,null,null,"Komanoff est.",null,{"$f":"ROW()","v":351},{"$f":"P261","v":10},20,35,35,35,27,15,{"$f":"SUMPRODUCT(P$139:V$139,P351:V351)/W$139","v":30.050999804692069},null,{"$f":"Y261","v":10},20,35,35,35,27,15,{"$f":"SUMPRODUCT(Y$139:AE$139,Y351:AE351)/AF$139","v":25.97678006298905},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ261","v":15},30,52.5,52.5,52.5,40.5,22.5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ351:BF351)/BG$139","v":41.257471069827332}]
[null,"Average cordon toll ",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O335, \".\")","v":"Reproduced from Row 335."},null,null,null,null,null,null,null,{"$f":"ROW()","v":352},{"$f":"P343","v":7.239285323067797E-6},7.239285323067797E-6,8.860885235434985,8.860885235434985,8.860885235434985,8.860885235434985,7.239285323067797E-6,{"$f":"SUMPRODUCT(P$139:V$139,P352:V352)/W$139","v":7.4423244135552382},null,{"$f":"Y343","v":7.2413952666419911E-6},7.2413952666419911E-6,8.8634678063697976,8.8634678063697976,8.8634678063697976,8.8634678063697976,7.2413952666419911E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y352:AE352)/AF$139","v":6.5789011591393614},null,{"$f":"AH343","v":7.1893925416355704E-6},7.1893925416355704E-6,8.7998164709619395,8.7998164709619395,8.7998164709619395,8.7998164709619395,7.1893925416355704E-6,{"$f":"SUMPRODUCT(AH$139:AN$139,AH352:AN352)/AO$139","v":5.4461354466619669},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ343","v":1.7941456699885527E-5},1.7941456699885527E-5,21.960343000659886,21.960343000659886,21.960343000659886,21.960343000659886,1.7941456699885527E-5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ352:BF352)/BG$139","v":16.735896821807366}]
[null,"Baseline auto trips ending in cordon",null,null,null,null,{"$f":"CONCATENATE(\"Sum of Cells I\",O85, \" and J\",O85,\", which pertain to auto work and non-work trips, resp'ly.\")","v":"Sum of Cells I85 and J85, which pertain to auto work and non-work trips, resp'ly."},null,null,null,null,null,null,{"$f":"I85+J85","v":384400},{"$f":"ROW()","v":353}]
[null,"Final model estimates of auto trips ending in cordon",null,null,null,null,{"$f":"CONCATENATE(\"Sum of Cells W\",O933, \" and AF\",O933,\", which also pertain to auto work + non-work trips).\")","v":"Sum of Cells W933 and AF933, which also pertain to auto work + non-work trips)."},null,null,null,null,null,null,{"$f":"W933+AF933","v":313170.38077011926},{"$f":"ROW()","v":354}]
[null,"Trips eliminated",null,null,null,null,null,null,null,null,null,"Percent:",{"$f":"N355/N353","v":0.18530077843361276},{"$f":"N353-N354","v":71229.619229880744},{"$f":"ROW()","v":355}]
[null,"Change in avg charge to park off-street (in garage or lot)",null,null,null,null,{"$f":"CONCATENATE(\"Product of percents in Rows \",O349, \" and \",O355, \", but capped at one-half of effective cordon toll.\")","v":"Product of percents in Rows 349 and 355, but capped at one-half of effective cordon toll."},null,null,null,null,null,null,{"$f":"M355/M349","v":0.37060155686722551},{"$f":"ROW()","v":356},{"$f":"MAX(-$N$356*P352,-0.5*P352)","v":-2.682890411334981E-6},-2.682890411334981E-6,-3.2838578634740174,-3.2838578634740174,-3.2838578634740174,-3.2838578634740174,-2.682890411334981E-6,{"$f":"SUMPRODUCT(P$139:V$139,P356:V356)/W$139","v":-2.7581370143745323},null,{"$f":"MAX(-$N$356*Y352,-0.5*Y352)","v":-2.6836723597084796E-6},-2.6836723597084796E-6,-3.2848149682831793,-3.2848149682831793,-3.2848149682831793,-3.2848149682831793,-2.6836723597084796E-6,{"$f":"SUMPRODUCT(Y$139:AE$139,Y356:AE356)/AF$139","v":-2.4381510120526424},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MAX(-$N$356*AZ352,-0.5*AZ352)","v":-6.6491317854434904E-6},-6.6491317854434904E-6,-8.1385373053828332,-8.1385373053828332,-8.1385373053828332,-8.1385373053828332,-6.6491317854434904E-6,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ356:BF356)/BG$139","v":-6.2023494177310612}]
[null,"% of entering drivers who purchase off-street parking (paid lot or garage)",null,null,null,null,null,null,null,null,null,null,"Note: Above % is effectively capped at 50%, in columns to right.",null,{"$f":"ROW()","v":357},{"$f":"P256","v":0.04},0.14000000000000001,0.47,0.47,0.47,0.33,0.28000000000000003,null,null,{"$f":"Y256","v":0.08},0.23,0.5,0.5,0.5,0.35,0.3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ256","v":0.01},0.02,0.03,0.03,0.03,0.03,0.02]
[null,"Avg charge for off-street parking (paid lot / garage), baseline",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O261, \".\")","v":"Reproduced from Row 261."},null,null,null,null,null,null,null,{"$f":"ROW()","v":358},{"$f":"P261","v":10},20,35,35,35,27,15,{"$f":"SUMPRODUCT(P$139:V$139,P358:V358)/W$139","v":30.050999804692069},null,{"$f":"Y261","v":10},20,35,35,35,27,15,{"$f":"SUMPRODUCT(Y$139:AE$139,Y358:AE358)/AF$139","v":25.97678006298905},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ261","v":15},30,52.5,52.5,52.5,40.5,22.5,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ358:BF358)/BG$139","v":41.257471069827332}]
[null,"Avg charge for off-street parking (pd lot / garage), w/ cordon toll",null,null,null,null,{"$f":"CONCATENATE(\"Sum of baseline in Row \",O358, \" and change in Row \",O356, \".\")","v":"Sum of baseline in Row 358 and change in Row 356."},null,null,null,null,null,null,null,{"$f":"ROW()","v":359},{"$f":"MAX(0,P358+P356)","v":9.9999973171095888},19.999997317109589,31.716142136525981,31.716142136525981,31.716142136525981,23.716142136525981,14.999997317109589,{"$f":"SUMPRODUCT(P$139:V$139,P359:V359)/W$139","v":27.292862790317535},null,{"$f":"MAX(0,Y358+Y356)","v":9.9999973163276401},19.99999731632764,31.715185031716821,31.715185031716821,31.715185031716821,23.715185031716821,14.99999731632764,{"$f":"SUMPRODUCT(Y$139:AE$139,Y359:AE359)/AF$139","v":23.538629050936407},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MAX(0,AZ358+AZ356)","v":14.999993350868214},29.999993350868216,44.361462694617167,44.361462694617167,44.361462694617167,32.361462694617167,22.499993350868216,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ359:BF359)/BG$139","v":35.055121652096275}]
[null,"Chng in wghtd avg cost to park from change in off-st park rates",null,null,null,null,{"$f":"CONCATENATE(\"Product of % in Row \",O357, \" and $ change in Row \",O356, \".\")","v":"Product of % in Row 357 and $ change in Row 356."},null,null,null,null,null,null,null,{"$f":"ROW()","v":360},{"$f":"P357*P356","v":-1.0731561645339924E-7},-3.7560465758689738E-7,-1.5434131958327881,-1.5434131958327881,-1.5434131958327881,-1.0836730949464257,-7.5120931517379477E-7,{"$f":"SUMPRODUCT(P$139:V$139,P360:V360)/W$139","v":-1.1892938100665191},null,{"$f":"Y357*Y356","v":-2.1469378877667837E-7},-6.1724464273295036E-7,-1.6424074841415897,-1.6424074841415897,-1.6424074841415897,-1.1496852388991128,-8.0510170791254383E-7,{"$f":"SUMPRODUCT(Y$139:AE$139,Y360:AE360)/AF$139","v":-1.0111434677663038},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Change in # medallion cabs",null,{"$f":"Taxis!L696","v":0},null,{"$f":"AZ357*AZ356","v":-6.6491317854434912E-8},-1.3298263570886982E-7,-0.244156119161485,-0.244156119161485,-0.244156119161485,-0.244156119161485,-1.3298263570886982E-7,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ360:BF360)/BG$139","v":-0.18607046074261957},null,null,null,null,null,null,"Change in # UberLyft vehicles",null,{"$f":"Taxis!AD696","v":0}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"M355","v":0.18530077843361276},null,null,null,{"$f":"ROW()","v":361},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Decided through an exogenous process, and set in Taxis worksheet tab, in Row \",Taxis!O696, \".\")","v":"Decided through an exogenous process, and set in Taxis worksheet tab, in Row 696."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Decided through an exogenous process, and set in Taxis worksheet tab, in Row \",Taxis!AG696, \".\")","v":"Decided through an exogenous process, and set in Taxis worksheet tab, in Row ."}]
[null,"Final Trip Cost - including any change in cost to park",null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O347,\" and \",O360,\".\")","v":"Sum of Rows 347 and 360."},null,null,null,null,null,null,null,{"$f":"ROW()","v":362},{"$f":"P347+P360","v":10.550398338486373},14.46213746797679,40.319859057927601,39.49305402279667,38.874976940865814,32.799610016474418,17.655123637470336,{"$f":"SUMPRODUCT(P$139:V$139,P362:V362)/W$139","v":34.124855362174152},null,{"$f":"Y347+Y360","v":11.422898233218145},17.722137228446751,41.143447340553614,40.396642305422681,39.758565223491829,33.706180443456546,18.165123585687887,{"$f":"SUMPRODUCT(Y$139:AE$139,Y362:AE362)/AF$139","v":31.034110557740835},null,{"$f":"AH347+AH360","v":14.695345643161474},17.312075434971725,32.315963261195989,30.99148693810886,30.137693811517718,31.864429116911449,19.076407180669982,{"$f":"SUMPRODUCT(AH$139:AN$139,AH362:AN362)/AO$139","v":25.891177563259216},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ347+AZ360","v":22.101038291879416},25.838255361734813,55.982640681265408,54.824037964199732,53.101366431901937,57.026070535031991,29.329915309151442,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ362:BF362)/BG$139","v":48.549988599909554}]
[null,null,null,null,null,null,null,null,null,"NYT, 5 Jan 2012, reported on lifetime free rides for > 30,000 PA + MTA retirees. <http://nyti.ms/yq0CRB>",null,null,null,null,{"$f":"ROW()","v":363}]
[null,"Factor Change in Total Motor V. Trip Cost w/ Toll ",null,null,null,null,{"$f":"CONCATENATE(\"Ratio, new trip cost in Row \",O362, \" to old cost in Row \",O270,\".\")","v":"Ratio, new trip cost in Row 362 to old cost in Row 270."},null,null,null,null,null,null,null,{"$f":"ROW()","v":364},{"$f":"P362/P270","v":1.0000006759910194},1.0000004745967834,1.2217255386872163,1.2274231447755679,1.2318773953294764,1.3108100262426245,1.0000003674898306,null,null,{"$f":"Y362/Y270","v":1.000000615142117},1.0000003737784566,1.2128700529926528,1.2176619034410949,1.2219303644867916,1.2967707175103449,1.0000003543216103,null,null,{"$f":"AH362/AH270","v":1.0000004892294629},1.000000415282128,1.3742031613196255,1.3965369116303974,1.4124035549795102,1.381528907770637,1.0000003768736525,null,null,null,null,null,null,null,"% change from baseline",null,{"$f":"AX360/Taxis!$L180","v":0},null,{"$f":"AZ362/AZ270","v":1.0000008087846193},1.0000006892294426,1.6337447991669936,1.6559225733875851,1.6919248891542242,1.6150172312823574,1.0000006071781897,null,null,null,null,null,null,null,"% change from baseline",null,{"$f":"BP360/Taxis!$L180","v":0}]
[null,null,null,null,null,null,null,null,null,"NY Post, \"Cheaters cost PA untolled $,\" <http://nyp.st/yVueuX>, 14 Feb 2012, re chronic trucking co. scofflaws. Story says 2010 toll evasion rate was 1.4%, but PA got back $12M of the owed $19M.",null,null,null,null,{"$f":"ROW()","v":365},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cell AX\",O360, \" to baseline number of medallion taxis, in 'Taxis' tab, Row \",Taxis!O180,\".\")","v":"Ratio of Cell AX360 to baseline number of medallion taxis, in 'Taxis' tab, Row 180."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cell AX\",AG360, \" to baseline number of medallion taxis, in 'Taxis' tab, Row \",Taxis!AG180,\".\")","v":"Ratio of Cell AX to baseline number of medallion taxis, in 'Taxis' tab, Row ."}]
[null,"2. Direct Impact of Our Tolls on Cordon Entries",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,"Preliminary Traffic-Retention Factor from Our Tolls (assumes 100% of cordon entries are tolled)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367},{"$f":"P364^Elasticities!$G$66","v":0.9999997296037203},{"$f":"Q364^Elasticities!$G$66","v":0.99999981016134976},{"$f":"R364^Elasticities!$G$66","v":0.92301878352447853},{"$f":"S364^Elasticities!$G$66","v":0.92130255739325162},{"$f":"T364^Elasticities!$G$66","v":0.9199686023954301},{"$f":"U364^Elasticities!$G$66","v":0.89739593544702911},{"$f":"V364^Elasticities!$G$66","v":0.99999985300410554},null,null,{"$f":"Y364^Elasticities!$H$66","v":0.9999996309149114},{"$f":"Z364^Elasticities!$H$66","v":0.99999977573299315},{"$f":"AA364^Elasticities!$H$66","v":0.89065894963228986},{"$f":"AB364^Elasticities!$H$66","v":0.88855429164206623},{"$f":"AC364^Elasticities!$H$66","v":0.88669064362977401},{"$f":"AD364^Elasticities!$H$66","v":0.8556222761852853},{"$f":"AE364^Elasticities!$H$66","v":0.99999978740709417},null,null,{"$f":"AH364^Elasticities!$I$66","v":0.99999976390597189},{"$f":"AI364^Elasticities!$I$66","v":0.99999979959171892},{"$f":"AJ364^Elasticities!$I$66","v":0.85778585288954601},{"$f":"AK364^Elasticities!$I$66","v":0.85113819894017995},{"$f":"AL364^Elasticities!$I$66","v":0.84651048564236209},{"$f":"AM364^Elasticities!$I$66","v":0.85558778898305232},{"$f":"AN364^Elasticities!$I$66","v":0.99999981812700822},null,null,null,null,null,"=IF(OR(Taxis!$L700>0,Taxis!$L700<0),N43*AX352,Taxis!$L386)",null,null,null,null,null,{"$f":"AZ364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.99999989216210017},{"$f":"BA364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.99999990810277684},{"$f":"BB364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93664590253777169},{"$f":"BC364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93496351364985841},{"$f":"BD364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93228605776289541},{"$f":"BE364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93808684389446639},{"$f":"BF364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.99999991904293595}]
[null,{"$f":"CONCATENATE(\"Factor change from tolls in Row \",O364, \" exponentiated by price-elasticity for that trip type shown in Elasticities tab.\")","v":"Factor change from tolls in Row 364 exponentiated by price-elasticity for that trip type shown in Elasticities tab."},null,null,null,null,null,null,null,"See NY Post, 7 Nov 2011, \"MTA gives out 20,000 toll freebies,\" <http://nyp.st/v1sOtv>, for details on which city and state agencies get free E-ZPasses (though for annual lump-sum price).",null,null,null,null,{"$f":"ROW()","v":368},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IF statement may need revision to ensure it reflects changes in both # taxicabs and taxi occupancy.",null,{"$f":"CONCATENATE(\"The 'IF' statement used to calculated value of Cell AX\",O402, \" allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L\",Taxis!O696, \". This causes Cell AX\",O402, \" to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L\",O44, \" and percent in Cell AX\",O364, \" above.\")","v":"The 'IF' statement used to calculated value of Cell AX402 allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L696. This causes Cell AX402 to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L44 and percent in Cell AX364 above."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IF statement may need revision to ensure it reflects changes in both # taxicabs and taxi occupancy.",null,{"$f":"CONCATENATE(\"The 'IF' statement used to calculated value of Cell BP\",$O377, \" allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L\",Taxis!AG696, \". This causes Cell BP\",$O377, \" to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L\",$O44, \" and percent in Cell BP\",$O364, \" above.\")","v":"The 'IF' statement used to calculated value of Cell BP377 allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L. This causes Cell BP377 to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L44 and percent in Cell BP364 above."}]
[null,"Preliminary Traffic-Elimination Factor from Our Tolls (assumes 100% of cordon entries are tolled)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369},{"$f":"1-P367","v":2.70396279700158E-7},{"$f":"1-Q367","v":1.8983865024413404E-7},7.6981216475521475E-2,7.869744260674838E-2,8.0031397604569898E-2,0.10260406455297089,1.469958944566585E-7,null,null,{"$f":"1-Y367","v":3.6908508860289402E-7},2.242670068541841E-7,0.10934105036771014,0.11144570835793377,0.11330935637022599,0.1443777238147147,2.1259290583497403E-7,null,null,{"$f":"1-AH367","v":2.360940281054269E-7},2.0040828108136566E-7,0.14221414711045399,0.14886180105982005,0.15348951435763791,0.14441221101694768,1.818729917779649E-7,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ367","v":1.0783789983204173E-7},9.1897223164494335E-8,6.3354097462228309E-2,6.5036486350141587E-2,6.7713942237104585E-2,6.1913156105533607E-2,8.0957064052533667E-8]
[null,{"$f":"CONCATENATE(\"Complement of preliminary traffic-retention factor in Row \",O367, \".\")","v":"Complement of preliminary traffic-retention factor in Row 367."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,"Share of Incoming (cordon-crossing) trips that are assumed to be exempt from cordon toll",null,null,null,null,null,null,null,{"$f":"'Policy Levers'!$K$85","v":0.04},null,null,null,null,{"$f":"ROW()","v":371}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption, inputted in 'Policy Levers' tab, Row \",'Policy Levers'!O85, \", to reflect exemptions for disability, police, fire and other categories that might be carved out in legislation enabling tolls.\")","v":"Komanoff assumption, inputted in 'Policy Levers' tab, Row 85, to reflect exemptions for disability, police, fire and other categories that might be carved out in legislation enabling tolls."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"Traffic-Retention Factor from Our Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373},{"$f":"(1-$L$371)*P367+$L$371","v":0.9999997296037203},{"$f":"(1-$J$371)*Q367+$J$371","v":0.99999981775489577},0.9260980321834994,0.92445045509752155,0.92316985829961296,0.90150009802914799,0.99999985888394127,null,null,{"$f":"(1-$J$371)*Y367+$J$371","v":0.9999996456783149},0.99999978470367346,0.89503259164699822,0.89301211997638363,0.89122301788458302,0.86139738513787389,0.99999979591081045,null,null,{"$f":"(1-$J$371)*AH367+$J$371","v":0.999999773349733},0.99999980760805018,0.86347441877396414,0.8570926709825728,0.85265006621666761,0.86136427742373023,0.99999982540192789,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(1-$J$371)*AZ367+$J$371","v":0.99999989647561616},0.99999991177866576,0.93918006643626084,0.93756497310386411,0.93499461545237961,0.94056337013868774,0.99999992228121848]
[null,{"$f":"CONCATENATE(\"Calculated as sum of (i) product of Row \",O367, \" and complement of parameter in Row \",O371, \"; and (ii) parameter in Row \",O371, \". Mathematically, reflects 'free pass' given to vehicle share shown in Row \",O371, \".\")","v":"Calculated as sum of (i) product of Row 367 and complement of parameter in Row 371; and (ii) parameter in Row 371. Mathematically, reflects 'free pass' given to vehicle share shown in Row 371."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"Traffic-Elimination Factor from Our Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375},{"$f":"1-P373","v":2.70396279700158E-7},{"$f":"1-Q373","v":1.8224510422992779E-7},7.3901967816500602E-2,7.5549544902478449E-2,7.6830141700387045E-2,9.8499901970852011E-2,1.4111605872724198E-7,null,null,{"$f":"1-Y373","v":3.5432168510318718E-7},2.152963265444896E-7,0.10496740835300178,0.10698788002361637,0.10877698211541698,0.13860261486212611,2.0408918954828437E-7,null,null,{"$f":"1-AH373","v":2.2665026699897339E-7},1.9239194981590657E-7,0.13652558122603586,0.1429073290174272,0.14734993378333239,0.13863572257626977,1.7459807211128719E-7,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ373","v":1.0352438384320095E-7},8.8221334237914562E-8,6.0819933563739159E-2,6.2435026896135892E-2,6.5005384547620393E-2,5.9436629861312262E-2,7.7718781521518565E-8]
[null,{"$f":"CONCATENATE(\"Complement of preliminary traffic-retention factor in Row \",O373, \".\")","v":"Complement of preliminary traffic-retention factor in Row 373."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Change in weekday taxi trips that cross into CBD",null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,"Change in weekday taxi trips that cross into CBD",null,null,null,null,null,null,{"$f":"IF(OR(Taxis!$L696>0,Taxis!$L696<0),AF44*BP364,Taxis!$L411)","v":2218.902952537389}]
[null,"D. Add (or subtract) any \"exogenous\" traffic arising from non-pricing actions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"This section processes any change in volume made in the 'Policy Levers' tab. The change is entered there as either (i) % change in entire volume of CBD entries shown in Cell H\",O39, \"; (ii) quantity change (in, say, thousands or hundreds) to entries shown in Cell H\",O39, \"; or (iii) quantity changes to auto trips only (which are distributed proportionally among work, non-work and through trips). Choice of method is made in 'Policy Levers' tab, Row \",'Policy Levers'!O258, \".\")","v":"This section processes any change in volume made in the 'Policy Levers' tab. The change is entered there as either (i) % change in entire volume of CBD entries shown in Cell H39; (ii) quantity change (in, say, thousands or hundreds) to entries shown in Cell H39; or (iii) quantity changes to auto trips only (which are distributed proportionally among work, non-work and through trips). Choice of method is made in 'Policy Levers' tab, Row 258."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,"Change in weekday baseline volume: ",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",'Policy Levers'!K259,IF('Policy Levers'!K258=\"B\",'Policy Levers'!K260,'Policy Levers'!K261))","v":0},null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,{"$f":"CONCATENATE(\"This figure is generated by an IF statement on Rows \",'Policy Levers'!O258, \"-\",'Policy Levers'!O261, \" of 'Policy Levers' worksheet. Depending on values in those rows, it is expressed either as a percent or as a quantity.\")","v":"This figure is generated by an IF statement on Rows 258-261 of 'Policy Levers' worksheet. Depending on values in those rows, it is expressed either as a percent or as a quantity."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,"Does above change in baseline volume apply to all motor v's, or only to autos?",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",\"ALL\",IF('Policy Levers'!K258=\"B\",\"ALL\",\"AUTOS ONLY\"))","v":"ALL"},null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,{"$f":"CONCATENATE(\"This is also generated by an IF statement on 'Policy Levers', though only on Row \",'Policy Levers'!O258,\". Purpose is to allow testing of scenarios in which only private auto volumes are changed.\")","v":"This is also generated by an IF statement on 'Policy Levers', though only on Row 258. Purpose is to allow testing of scenarios in which only private auto volumes are changed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,"Change in baseline volume inputted into calculations here:",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",'Policy Levers'!K259*H85,IF('Policy Levers'!K258=\"B\",'Policy Levers'!K260,'Policy Levers'!K261))","v":0},null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,{"$f":"CONCATENATE(\"Also generated by IF stmnt on 'Policy Levers'. If Cell I\",O384, \" is a percent, then figure is product of that % and total baseline entries to CBD in Row \",O85, \". If I\",O384, \" is a number, the number is copied here.\")","v":"Also generated by IF stmnt on 'Policy Levers'. If Cell I384 is a percent, then figure is product of that % and total baseline entries to CBD in Row 85. If I384 is a number, the number is copied here."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,null,"Sum",{"$f":"I80","v":"Auto Work"},"Auto Non-Wk","Auto Thru","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":390}]
[null,"Allocation of change in inbound baseline volume among trip types",null,null,null,null,null,{"$f":"W391+AF391+AO391+AX391+BG391+BP391","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*I85/SUM($I85:$K85),$I388*I85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*J85/SUM($I85:$K85),$I388*J85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*K85/SUM($I85:$K85),$I388*K85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*L85/SUM($I85:$K85),$I388*L85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*M85/SUM($I85:$K85),$I388*M85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*N85/SUM($I85:$K85),$I388*N85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"ROW()","v":391},{"$f":"$I$391*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))","v":0},{"$f":"$I$391*'Weekday Hours'!T40","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T41:T43)","v":0},{"$f":"$I$391*'Weekday Hours'!T44","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T45:T48)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T49:T54)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T55:T57)","v":0},{"$f":"SUM(P391:V391)","v":0},null,{"$f":"$J$391*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))","v":0},{"$f":"$J$391*'Weekday Hours'!U40","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U41:U43)","v":0},{"$f":"$J$391*'Weekday Hours'!U44","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U45:U48)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U49:U54)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U55:U57)","v":0},{"$f":"SUM(Y391:AE391)","v":0},null,{"$f":"$K$391*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":0},{"$f":"$K$391*'Weekday Hours'!V40","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V41:V43)","v":0},{"$f":"$K$391*'Weekday Hours'!V44","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V45:V48)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V49:V54)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V55:V57)","v":0},{"$f":"SUM(AH391:AN391)","v":0},null,{"$f":"$L$391*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":0},{"$f":"$L$391*'Weekday Hours'!D40","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D41:D43)","v":0},{"$f":"$L$391*'Weekday Hours'!D44","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D45:D48)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D49:D54)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D55:D57)","v":0},{"$f":"SUM(AQ391:AW391)","v":0},null,{"$f":"$M$391*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":0},{"$f":"$M$391*'Weekday Hours'!D40","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D41:D43)","v":0},{"$f":"$M$391*'Weekday Hours'!D44","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D45:D48)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D49:D54)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D55:D57)","v":0},{"$f":"SUM(AZ391:BF391)","v":0},null,{"$f":"$L$391*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":0},{"$f":"$L$391*'Weekday Hours'!V40","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V41:V43)","v":0},{"$f":"$L$391*'Weekday Hours'!V44","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V45:V48)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V49:V54)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V55:V57)","v":0},{"$f":"SUM(BI391:BO391)","v":0}]
[null,{"$f":"CONCATENATE(\"Distributes quantity in Cell I\",O388, \" among all 6 or just 3 categories, per parameter setting in Row \",'Policy Levers'!K258, \". In either case, distribution uses proportions in Row \",O85, \" here.\")","v":"Distributes quantity in Cell I388 among all 6 or just 3 categories, per parameter setting in Row A. In either case, distribution uses proportions in Row 85 here."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,"Allocation of change in outbound baseline volume among trip types",null,null,null,null,null,{"$f":"W394+AF394+AO394+AX394+BG394+BP394","v":0},{"$f":"I391","v":0},0,0,0,0,0,{"$f":"ROW()","v":394},{"$f":"$I$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$I$391*'Weekday Hours'!L40","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$I$391*'Weekday Hours'!L44","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(P394:V394)","v":0},null,{"$f":"$J$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$J$391*'Weekday Hours'!L40","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$J$391*'Weekday Hours'!L44","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(Y394:AE394)","v":0},null,{"$f":"$K$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$K$391*'Weekday Hours'!L40","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$K$391*'Weekday Hours'!L44","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(AH394:AN394)","v":0},null,{"$f":"AQ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ394:AW394)","v":0},null,{"$f":"$M$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$M$391*'Weekday Hours'!L40","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$M$391*'Weekday Hours'!L44","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(AZ394:BF394)","v":0},null,{"$f":"BI391","v":0},0,0,0,0,0,0,{"$f":"SUM(BI394:BO394)","v":0}]
[null,{"$f":"CONCATENATE(\"Distribution among trip categories is same as for inbound in Row \",O391,\". However, sub-distribution among *time periods differs since it follows time periods in Row \",O150, \" rather than Row \",O149,\".\")","v":"Distribution among trip categories is same as for inbound in Row 391. However, sub-distribution among *time periods differs since it follows time periods in Row 150 rather than Row 149."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,{"$f":"CONCATENATE(\"Note that any exogenous traffic inputs above are automatically copied into Row \",O438, \" and reflected in subsequent rows.\")","v":"Note that any exogenous traffic inputs above are automatically copied into Row 438 and reflected in subsequent rows."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,"E. Incorporate simultaneous and overlapping effects of (i) \"time-switching\" between periods (in response to time-varied tolls, if applicable), (ii) \"attraction\" or \"attrition\" of trips to or from subways, in response to possible changes in subway pricing and service, and (iii) ditto from the medallion taxi sector.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fig. in Row \",$O377, \" is derived in 'Taxis' tab, Row \",Taxis!$O411, \", subject to 'IF' statement explained in large text box directly above.\")","v":"Fig. in Row 377 is derived in 'Taxis' tab, Row 411, subject to 'IF' statement explained in large text box directly above."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum below must match Row \",O377, \".\")","v":"Sum below must match Row 377."},null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fig. in Row \",$O377, \" is derived in 'Taxis' tab, Row \",Taxis!$O411, \", subject to 'IF' statement explained in large text box directly above.\")","v":"Fig. in Row 377 is derived in 'Taxis' tab, Row 411, subject to 'IF' statement explained in large text box directly above."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum below must match Row \",O377, \".\")","v":"Sum below must match Row 377."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It takes into account changes in number of taxi trips due to (1) taxi fare changes, (2) taxi trip duration changes, (3) congestion toll, and (4) subway fare changes. It then factors the net result of those changes through a process reflecting the split in the change in taxi trips between new cordon crossings by taxis and changes in taxi cruising.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It takes into account changes in number of taxi trips due to (1) taxi fare changes, (2) taxi trip duration changes, (3) congestion toll, and (4) subway fare changes. It then factors the net result of those changes through a process reflecting the split in the change in taxi trips between new cordon crossings by taxis and changes in taxi cruising."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AQ406:AW406)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(BI406:BO406)*AX139/BP139","v":2218.902952537389}]
[null,"1. Time-Switching of cordon entries between toll periods (see Time Switching worksheet for methodology and sources)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Ratio, trips in period to trips in earlier period, before new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405},{"$f":"P139/V139","v":0.55034203157944694},{"$f":"Q139/P139","v":1.6423573469991131},5.3743474347434743,0.23934973510414392,2.8266329826934742,1.0859388094532045,0.28019874979964743,null,null,{"$f":"Y139/AE139","v":0.8042863997968035},{"$f":"Z139/Y139","v":0.1037111653202621},6.9758091976045993,0.60879825017328637,3.9781741412667375,2.1931241974181894,0.32355547674424129,null,null,{"$f":"AH139/AN139","v":1.1006840631588939},{"$f":"AI139/AH139","v":0.21898097959988172},3.023070432043204,0.29458428935894648,4.4540883363654746,1.9908878173308753,0.52537265587433879,null,null,{"$f":"CONCATENATE(\"Distribute Row \",$O377, \" figure, which is 24-h, to different time bins, based on taxi entry patterns in Row \",$O139, \".\")","v":"Distribute Row 377 figure, which is 24-h, to different time bins, based on taxi entry patterns in Row 139."},null,null,null,null,null,null,null,null,{"$f":"AZ139/BF139","v":0.82551304736917019},{"$f":"BA139/AZ139","v":0.43796195919976355},5.0384507200720074,0.29458428935894643,3.340566252274106,1.5927102538646998,0.35024843724955929,null,null,{"$f":"CONCATENATE(\"Distribute Row \",$O377, \" figure, which is 24-h, to different time bins, based on taxi entry patterns in Row \",$O139, \".\")","v":"Distribute Row 377 figure, which is 24-h, to different time bins, based on taxi entry patterns in Row 139."}]
[null,"Ratio, trips in period to trips in later period, before new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406},{"$f":"P139/Q139","v":0.60888088808880891},0.18606910181044733,4.1779866585809593,0.35377780069880477,0.92086219895163646,3.5688952956251141,{"$f":"V139/P139","v":1.8170518379816696},null,null,{"$f":"Y139/Z139","v":9.6421633766430102},0.14335254472604939,1.6425802796170379,0.25137160025920285,0.45597052879049421,3.0906600934790025,{"$f":"AE139/Y139","v":1.243338194270899},null,null,{"$f":"AH139/AI139","v":4.5666066606660669},0.33078951432968418,3.3946141600970283,0.22451283505885689,0.50228847215543793,1.9034108243333945,{"$f":"AN139/AH139","v":0.90852591899083468},null,null,{"$f":"(AQ139/$AX139)*$AX$377","v":0},0,0,0,0,0,0,null,null,{"$f":"AZ139/BA139","v":2.283303330333033},0.19847370859781049,3.3946141600970288,0.2993504467451425,0.62786059019429763,2.8551162365000908,{"$f":"BF139/AZ139","v":1.2113678919877799},null,null,{"$f":"(BI139/$AX139)*$BP$377","v":529.10802627402472},40.894750075671396,390.65522465515716,175.87207581012601,540.35252673555146,1256.5523979752286,769.23284328587101]
[null,"Ratio, toll in period to toll in earlier period, before new tolls (defaults to unity unless difference in tolls is $1.00 or greater; default prevents algebraic instability in certain circumstances)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407},{"$f":"IF(ABS(P273-V273)<1,1,P273/V273)","v":1},{"$f":"IF(ABS(Q273-P273)<1,1,Q273/P273)","v":1},1,1,1,1,1,null,null,{"$f":"IF(ABS(Y273-AE273)<1,1,Y273/AE273)","v":1},{"$f":"IF(ABS(Z273-Y273)<1,1,Z273/Y273)","v":1},1,1,1,1,1,null,null,{"$f":"IF(ABS(AH273-AN273)<1,1,AH273/AN273)","v":1},{"$f":"IF(ABS(AI273-AH273)<1,1,AI273/AH273)","v":1},1,1,1,1,1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ273-BF273)<1,1,AZ273/BF273)","v":1},{"$f":"IF(ABS(BA273-AZ273)<1,1,BA273/AZ273)","v":1},1,1,1,1,1]
[null,"Ratio, toll in period to toll in later period, before new tolls (defaults to unity unless difference in tolls is $1.00 or greater; default prevents algebraic instability in certain circumstances)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408},{"$f":"IF(ABS(P273-Q273)<1,1,P273/Q273)","v":1},1,1,1,1,1,{"$f":"IF(ABS(V273-P273)<1,1,V273/P273)","v":1},null,null,{"$f":"IF(ABS(Y273-Z273)<1,1,Y273/Z273)","v":1},1,1,1,1,1,{"$f":"IF(ABS(AE273-Y273)<1,1,AE273/Y273)","v":1},null,null,{"$f":"IF(ABS(AH273-AI273)<1,1,AH273/AI273)","v":1},1,1,1,1,1,{"$f":"IF(ABS(AN273-AH273)<1,1,AN273/AH273)","v":1},null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ273-BA273)<1,1,AZ273/BA273)","v":1},1,1,1,1,1,{"$f":"IF(ABS(BF273-AZ273)<1,1,BF273/AZ273)","v":1}]
[null,"Ratio, toll in period to toll in earlier period, with new tolls (defaults to unity unless difference in tolls is $1.00 or greater; default prevents algebraic instability in certain circumstances)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409},{"$f":"IF(ABS(P345-V345)<1, 1, P345/V345)","v":1},{"$f":"IF(ABS(Q345-P345)<1, 1, Q345/P345)","v":1},4.2772022582796456,1,1,1,0.23628651458415484,null,null,{"$f":"IF(ABS(Y345-AE345)<1, 1, Y345/AE345)","v":1},{"$f":"IF(ABS(Z345-Y345)<1, 1, Z345/Y345)","v":1},4.2781311592108935,1,1,1,0.23623466420038902,null,null,{"$f":"IF(ABS(AH345-AN345)<1, 1, AH345/AN345)","v":1},{"$f":"IF(ABS(AI345-AH345)<1, 1, AI345/AH345)","v":1},2.8485134752219201,1,1,1,0.35670191244229449,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ345-BF345)<1, 1, AZ345/BF345)","v":1},{"$f":"IF(ABS(BA345-AZ345)<1, 1, BA345/AZ345)","v":1},4.6713979656357925,1,1,1,0.21406868080097233]
[null,"Ratio, toll in period to toll in later period, with new tolls (defaults to unity unless difference in tolls is $1.00 or greater; default prevents algebraic instability in certain circumstances)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410},{"$f":"IF(ABS(P345-Q345)<1, 1, P345/Q345)","v":1},0.23379768821178326,1,1,1,4.2321501155489942,{"$f":"IF(ABS(V345-P345)<1, 1, V345/P345)","v":1},null,null,{"$f":"IF(ABS(Y345-Z345)<1, 1, Y345/Z345)","v":1},0.23374692424915069,1,1,1,4.2330790165144325,{"$f":"IF(ABS(AE345-Y345)<1, 1, AE345/Y345)","v":1},null,null,{"$f":"IF(ABS(AH345-AI345)<1, 1, AH345/AI345)","v":1},0.35106030169721864,1,1,1,2.8034612799048988,{"$f":"IF(ABS(AN345-AH345)<1, 1, AN345/AH345)","v":1},null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ345-BA345)<1, 1, AZ345/BA345)","v":1},0.21406868080097233,1,1,1,4.6713979656357925,{"$f":"IF(ABS(BF345-AZ345)<1, 1, BF345/AZ345)","v":1}]
[null,{"$f":"CONCATENATE(\"Ratio of toll ratios for time-switching earlier (Row \",O409,\" div. by Row \",O407,\"); if > 1, some trips will switch to earlier period\")","v":"Ratio of toll ratios for time-switching earlier (Row 409 div. by Row 407); if > 1, some trips will switch to earlier period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411},{"$f":"P409/P407","v":1},{"$f":"Q409/Q407","v":1},4.2772022582796456,1,1,1,0.23628651458415484,null,null,{"$f":"Y409/Y407","v":1},1,4.2781311592108935,1,1,1,0.23623466420038902,null,null,{"$f":"AH409/AH407","v":1},1,2.8485134752219201,1,1,1,0.35670191244229449,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ409/AZ407","v":1},1,4.6713979656357925,1,1,1,0.21406868080097233]
[null,{"$f":"CONCATENATE(\"Ratio of toll ratios for time-switching later (Row \",O410,\" div. by Row \",O408,\"); if > 1, some trips will switch to later period\")","v":"Ratio of toll ratios for time-switching later (Row 410 div. by Row 408); if > 1, some trips will switch to later period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412},1,0.23379768821178326,1,1,1,4.2321501155489942,1,null,null,{"$f":"Y410/Y408","v":1},0.23374692424915069,1,1,1,4.2330790165144325,1,null,null,{"$f":"AH410/AH408","v":1},0.35106030169721864,1,1,1,2.8034612799048988,1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ410/AZ408","v":1},0.21406868080097233,1,1,1,4.6713979656357925,1]
[null,"Elasticities for calculating \"time-switching earlier\" factor",null,null,null,null,null,null,"See explanation in Time Switching worksheet",null,null,null,null,null,{"$f":"ROW()","v":413},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},{"$f":"'Weekday Hours'!$H187","v":-0.41},null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},{"$f":"'Weekday Hours'!$H187","v":-0.41},null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},{"$f":"'Weekday Hours'!$H187","v":-0.41},null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},{"$f":"'Weekday Hours'!$H187","v":-0.41}]
[null,"Elasticities for calculating \"time-switching later\" factor",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},{"$f":"'Weekday Hours'!$H188","v":-0.11},null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},{"$f":"'Weekday Hours'!$H188","v":-0.11},null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},{"$f":"'Weekday Hours'!$H188","v":-0.11},null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},{"$f":"'Weekday Hours'!$H188","v":-0.11}]
[null,"Effective Elasticities for calculating \"time-switching earlier\" factor (modifies elasticity above to reflect possible difference in period duration from 3-hour period in underlying PANYNJ analysis)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415},{"$f":"(P413*(VLOOKUP(P$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.21955298954968847},{"$f":"(Q413*(VLOOKUP(Q$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(R413*(VLOOKUP(R$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.6},{"$f":"(S413*(VLOOKUP(S$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(T413*(VLOOKUP(T$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.32176239360267511},{"$f":"(U413*(VLOOKUP(U$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11780892122178406},{"$f":"(V413*(VLOOKUP(V$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.41},null,null,{"$f":"(Y413*(VLOOKUP(Y$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.21955298954968847},{"$f":"(Z413*(VLOOKUP(Z$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(AA413*(VLOOKUP(AA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.6},{"$f":"(AB413*(VLOOKUP(AB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(AC413*(VLOOKUP(AC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.32176239360267511},{"$f":"(AD413*(VLOOKUP(AD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11780892122178406},{"$f":"(AE413*(VLOOKUP(AE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.41},null,null,{"$f":"(AH413*(VLOOKUP(AH$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.21955298954968847},{"$f":"(AI413*(VLOOKUP(AI$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(AJ413*(VLOOKUP(AJ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.6},{"$f":"(AK413*(VLOOKUP(AK$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(AL413*(VLOOKUP(AL$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.32176239360267511},{"$f":"(AM413*(VLOOKUP(AM$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11780892122178406},{"$f":"(AN413*(VLOOKUP(AN$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.41},null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ413*(VLOOKUP(AZ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.21955298954968847},{"$f":"(BA413*(VLOOKUP(BA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(BB413*(VLOOKUP(BB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.6},{"$f":"(BC413*(VLOOKUP(BC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.7380074998336914},{"$f":"(BD413*(VLOOKUP(BD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.32176239360267511},{"$f":"(BE413*(VLOOKUP(BE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11780892122178406},{"$f":"(BF413*(VLOOKUP(BF$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.41}]
[null,"Effective Elasticities for calculating \"time-switching later\" factor (modifies elasticity above to reflect possible difference in period duration from 3-hour period in underlying PANYNJ analysis)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416},{"$f":"(P414*(VLOOKUP(P$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-5.890446061089203E-2},{"$f":"(Q414*(VLOOKUP(Q$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(R414*(VLOOKUP(R$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.13},{"$f":"(S414*(VLOOKUP(S$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(T414*(VLOOKUP(T$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-8.6326495844620155E-2},{"$f":"(U414*(VLOOKUP(U$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-4.8194558681638931E-2},{"$f":"(V414*(VLOOKUP(V$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11},null,null,{"$f":"(Y414*(VLOOKUP(Y$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-5.890446061089203E-2},{"$f":"(Z414*(VLOOKUP(Z$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(AA414*(VLOOKUP(AA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.13},{"$f":"(AB414*(VLOOKUP(AB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(AC414*(VLOOKUP(AC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-8.6326495844620155E-2},{"$f":"(AD414*(VLOOKUP(AD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-4.8194558681638931E-2},{"$f":"(AE414*(VLOOKUP(AE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11},null,null,{"$f":"(AH414*(VLOOKUP(AH$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-5.890446061089203E-2},{"$f":"(AI414*(VLOOKUP(AI$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(AJ414*(VLOOKUP(AJ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.13},{"$f":"(AK414*(VLOOKUP(AK$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(AL414*(VLOOKUP(AL$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-8.6326495844620155E-2},{"$f":"(AM414*(VLOOKUP(AM$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-4.8194558681638931E-2},{"$f":"(AN414*(VLOOKUP(AN$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11},null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ414*(VLOOKUP(AZ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-5.890446061089203E-2},{"$f":"(BA414*(VLOOKUP(BA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(BB414*(VLOOKUP(BB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.13},{"$f":"(BC414*(VLOOKUP(BC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.19800201215050259},{"$f":"(BD414*(VLOOKUP(BD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-8.6326495844620155E-2},{"$f":"(BE414*(VLOOKUP(BE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-4.8194558681638931E-2},{"$f":"(BF414*(VLOOKUP(BF$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144))","v":-0.11}]
[null,{"$f":"CONCATENATE(\"Factor to multiply Row \",O405,\" fig., to indicate trips switching to earlier period\")","v":"Factor to multiply Row 405 fig., to indicate trips switching to earlier period"},null,null,null,null,null,"Note: factors > 1 default to 1, since algorithm is invoked only for switching out.",null,null,null,null,null,null,{"$f":"ROW()","v":417},{"$f":"MIN(P411^P415,1)","v":1},{"$f":"MIN(Q411^Q415,1)","v":1},0.41812306716771913,1,1,1,1,null,null,{"$f":"MIN(Y411^Y415,1)","v":1},{"$f":"MIN(Z411^Z415,1)","v":1},0.41806859313314876,1,1,1,1,null,null,{"$f":"MIN(AH411^AH415,1)","v":1},{"$f":"MIN(AI411^AI415,1)","v":1},0.53361623344839737,1,1,1,1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MIN(AZ411^AZ415,1)","v":1},{"$f":"MIN(BA411^BA415,1)","v":1},0.39658097817960691,1,1,1,1]
[null,{"$f":"CONCATENATE(\"Factor to multiply Row \",O406,\" fig., to indicate trips switching to later period\")","v":"Factor to multiply Row 406 fig., to indicate trips switching to later period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418},{"$f":"MIN(P412^P416,1)","v":1},1,1,1,1,0.93283142064331959,1,null,null,{"$f":"MIN(Y412^Y416,1)","v":1},1,1,1,1,0.93282155422395441,1,null,null,{"$f":"MIN(AH412^AH416,1)","v":1},1,1,1,1,0.95153235048733209,1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MIN(AZ412^AZ416,1)","v":1},1,1,1,1,0.92840250517015444,1]
[null,"New ratio of trips in period to trips in earlier period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419},{"$f":"P417*P405","v":0.55034203157944694},1.6423573469991131,2.2471386334399046,0.23934973510414392,2.8266329826934742,1.0859388094532045,0.28019874979964743,null,null,{"$f":"Y417*Y405","v":0.8042863997968035},0.1037111653202621,2.9163667372078339,0.60879825017328637,3.9781741412667375,2.1931241974181894,0.32355547674424129,null,null,{"$f":"AH417*AH405","v":1.1006840631588939},0.21898097959988172,1.6131594573961139,0.29458428935894648,4.4540883363654746,1.9908878173308753,0.52537265587433879,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ417*AZ405","v":0.82551304736917019},0.43796195919976355,1.9981537150759014,0.29458428935894643,3.340566252274106,1.5927102538646998,0.35024843724955929]
[null,"New ratio of trips in period to trips in later period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420},0.60888088808880891,0.18606910181044733,4.1779866585809593,0.35377780069880477,0.92086219895163646,3.3291776687452352,1.8170518379816696,null,null,9.6421633766430102,0.14335254472604939,1.6425802796170379,0.25137160025920285,0.45597052879049421,2.8830343519770354,1.243338194270899,null,null,4.5666066606660669,0.33078951432968418,3.3946141600970283,0.22451283505885689,0.50228847215543793,1.8111569756209851,0.90852591899083468,null,null,null,null,null,null,null,null,null,null,null,2.283303330333033,0.19847370859781049,3.3946141600970288,0.2993504467451425,0.62786059019429763,2.6506970665186675,1.2113678919877799]
[null,"Trips switching to earlier period",null,null,null,null,{"$f":"P421+Y421+AH421+AQ421+AZ421+BI421","v":-5.8664132381572563E-13},2.0600831321413281E-13,18439.633937322164,-5.6532551653071795E-13,-3.3350934040023354E-13,0,0,{"$f":"SUM(G421:M421)","v":18439.633937322164},{"$f":"ROW()","v":421},{"$f":"(P$139-V$139*P419)/(1+P419)","v":-5.8664132381572563E-13},{"$f":"(Q$139-P$139*Q419)/(1+Q419)","v":0},12815.90105977653,0,0,0,0,null,null,{"$f":"(Y$139-AE$139*Y419)/(1+Y419)","v":0},{"$f":"(Z$139-Y$139*Z419)/(1+Z419)","v":2.0600831321413281E-13},1873.5434515424233,-5.6532551653071795E-13,0,0,0,null,null,{"$f":"(AH$139-AN$139*AH419)/(1+AH419)","v":0},{"$f":"(AI$139-AH$139*AI419)/(1+AI419)","v":0},2127.0404661242706,0,-3.3350934040023354E-13,0,0,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ$139-BF$139*AZ419)/(1+AZ419)","v":0},{"$f":"(BA$139-AZ$139*BA419)/(1+BA419)","v":0},1623.1489598789378,0,0,0,0]
[null,"Trips switching to later period",null,null,null,null,-5.6529647937661677E-13,0,0,7.2679826007281934E-13,0,2758.5624666064518,9.5308603642526263E-13,{"$f":"SUM(G422:M422)","v":2758.5624666064527},{"$f":"ROW()","v":422},{"$f":"(P$139-Q$139*P420)/(1+P420)","v":-5.6529647937661677E-13},0,0,0,0,815.24344748531485,{"$f":"(V$139-P$139*V420)/(1+V420)","v":0},null,null,{"$f":"(Y$139-Z$139*Y420)/(1+Y420)","v":0},0,0,7.2679826007281934E-13,0,1158.6558477481983,{"$f":"(AE$139-Y$139*AE420)/(1+AE420)","v":0},null,null,{"$f":"(AH$139-AI$139*AH420)/(1+AH420)","v":0},0,0,0,0,536.7601878774708,{"$f":"(AN$139-AH$139*AN420)/(1+AN420)","v":9.5308603642526263E-13},null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ$139-BA$139*AZ420)/(1+AZ420)","v":0},0,0,0,0,247.90298349546785,{"$f":"(BF$139-AZ$139*BF420)/(1+BF420)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,"2. All direct changes to trip entries due to new tolls (details)",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":424}]
[null,{"$f":"CONCATENATE(\"Daily cordon vehicle entries in period (reproduced from row \",O139, \")\")","v":"Daily cordon vehicle entries in period (reproduced from row 139)"},null,null,null,null,{"$f":"G139","v":57988.150027728931},22558.102555129055,116421.5799746744,35208.90707473355,116924.75895072815,192138.60079629658,72159.900620709304,{"$f":"SUM(G425:M425)","v":613400},{"$f":"ROW()","v":425},{"$f":"P139","v":8102.6193983509547},13307.396498819224,71518.57223654339,17117.951319843243,48386.165796810201,52544.415279393434,14722.879470239532,{"$f":"SUM(P425:V425)","v":225699.99999999997},null,{"$f":"Y139","v":17428.307705279964},1807.5101016746883,12608.845592025515,7676.2431331302878,30537.431934295273,66972.380902113902,21669.280631480386,{"$f":"SUM(Y425:AE425)","v":158700},null,{"$f":"AH139","v":18002.945989096526},3942.3027483761189,11917.858872778505,3510.8139867176706,15637.475629387947,31132.459724356926,16356.143049286284,{"$f":"SUM(AH425:AN425)","v":100499.99999999999},null,{"$f":"AQ139","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ425:AW425)","v":32900},null,{"$f":"AZ139","v":3654.7684867149633},1600.6495668632404,8064.7939627450396,2375.761598341569,7936.3890188686346,12640.368169011279,4427.2691974552736,{"$f":"SUM(AZ425:BF425)","v":40700},null,{"$f":"BI139","v":7845.1624233989969},606.35246618200983,5792.3023972082001,2607.6811009406447,8011.8862833862886,18631.086973006506,11405.528355877348,{"$f":"SUM(BI425:BO425)","v":54900}]
[null,"Vehicle entries in period eliminated due to new tolls (Round #1)",null,null,null,null,{"$f":"P426+Y426+AH426+AZ426","v":1.2824875666645629E-2},3.7140368999996065E-3,8726.4739104205437,2764.5702000464994,9859.3746804948023,19525.538804346372,9.6999336572053847E-3,40875.983834154446,{"$f":"ROW()","v":426},{"$f":"P$425*P375","v":2.1909181411404305E-3},2.4252078619562854E-3,5285.3632237071033,1293.2534318769374,3717.5159745073488,5175.6197541359916,2.077634723956427E-3,15471.759077988108,null,{"$f":"Y$425*Y375","v":6.1752273546316584E-3},3.8915028508261729E-4,1323.5178441180888,821.26497935945224,3321.7696873676,9282.5471165753024,4.4224659221731672E-3,14749.110614264006,null,{"$f":"AH$425*AH375","v":4.080372515196825E-3},7.5846731252468883E-4,1627.0926095759539,501.72104951884745,2304.1809985287878,4316.0710494628393,2.8557510435818154E-3,8749.0734016773004,null,{"$f":"CONCATENATE(\"We have eliminated these entries for medallion taxis, since (i) changes in taxi entries into the CBD are accounted for above, in Rows \",$O402, \" and \",$O410, \" and (ii) switching between time periods doesn't apply since taxi fares aren't varied by time of day.\")","v":"We have eliminated these entries for medallion taxis, since (i) changes in taxi entries into the CBD are accounted for above, in Rows 402 and 410 and (ii) switching between time periods doesn't apply since taxi fares aren't varied by time of day."},null,null,null,null,null,null,null,null,{"$f":"AZ$425*AZ375","v":3.7835765567671454E-4},1.4121144043601511E-4,490.50023301939797,148.33073929126266,515.90802009106733,751.30088417223681,3.4408196749397522E-4,1906.0407402250282,null,{"$f":"UberLyft!$K331*'Motor Vs'!BI425","v":0},{"$f":"UberLyft!$K331*'Motor Vs'!BJ425","v":0},{"$f":"UberLyft!$J$331*'Motor Vs'!BK425","v":0},{"$f":"UberLyft!$J$331*'Motor Vs'!BL425","v":0},{"$f":"UberLyft!$J$331*'Motor Vs'!BM425","v":0},{"$f":"UberLyft!$J$331*'Motor Vs'!BN425","v":0},{"$f":"UberLyft!$K331*'Motor Vs'!BO425","v":0},{"$f":"SUM(BI426:BO426)","v":0}]
[null,"Vehicle entries switched from period into earlier period due to tolls",null,null,null,null,-5.8664132381572563E-13,2.0600831321413281E-13,18439.633937322164,-5.6532551653071795E-13,-3.3350934040023354E-13,0,0,18439.633937322164,{"$f":"ROW()","v":427},{"$f":"P421","v":-5.8664132381572563E-13},{"$f":"Q421","v":0},12815.90105977653,0,0,0,0,12815.90105977653,null,{"$f":"Y421","v":0},{"$f":"Z421","v":2.0600831321413281E-13},1873.5434515424233,-5.6532551653071795E-13,0,0,0,1873.5434515424231,null,{"$f":"AH421","v":0},{"$f":"AI421","v":0},2127.0404661242706,0,-3.3350934040023354E-13,0,0,2127.0404661242701,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ421","v":0},{"$f":"BA421","v":0},1623.1489598789378,0,0,0,0,1623.1489598789378,null,{"$f":"CONCATENATE(\"Figures in Row \",O426, \" are products of percentage changes in UberLyft CBD entries from 'UberLyft' tab, Row \",UberLyft!O331, \" multiplied by figures in Row \",O425, \". Cols BI, BJ & BO use off-peak percent from 'UberLyft' tab. Other columns use on-peak percent.\")","v":"Figures in Row 426 are products of percentage changes in UberLyft CBD entries from 'UberLyft' tab, Row 331 multiplied by figures in Row 425. Cols BI, BJ & BO use off-peak percent from 'UberLyft' tab. Other columns use on-peak percent."}]
[null,"Vehicle entries switched from period into later period due to tolls",null,null,null,null,-5.6529647937661677E-13,0,0,7.2679826007281934E-13,0,2758.5624666064518,9.5308603642526263E-13,2758.5624666064527,{"$f":"ROW()","v":428},{"$f":"P422","v":-5.6529647937661677E-13},{"$f":"Q422","v":0},0,0,0,815.24344748531485,0,815.24344748531428,null,{"$f":"Y422","v":0},{"$f":"Z422","v":0},0,7.2679826007281934E-13,0,1158.6558477481983,0,1158.655847748199,null,{"$f":"AH422","v":0},{"$f":"AI422","v":0},0,0,0,536.7601878774708,9.5308603642526263E-13,536.76018787747171,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ422","v":0},{"$f":"BA422","v":0},0,0,0,247.90298349546785,0,247.90298349546785]
[null,"Vehicle entries switched from period, total",null,null,null,null,-1.1519378031923424E-12,2.0600831321413281E-13,18439.633937322164,1.6147274354210139E-13,-3.3350934040023354E-13,2758.5624666064518,9.5308603642526263E-13,21198.196403928614,{"$f":"ROW()","v":429},{"$f":"P427+P428","v":-1.1519378031923424E-12},0,12815.90105977653,0,0,815.24344748531485,0,13631.144507261843,null,{"$f":"Y427+Y428","v":0},2.0600831321413281E-13,1873.5434515424233,1.6147274354210139E-13,0,1158.6558477481983,0,3032.1992992906221,null,{"$f":"AH427+AH428","v":0},0,2127.0404661242706,0,-3.3350934040023354E-13,536.7601878774708,9.5308603642526263E-13,2663.8006540017418,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ427+AZ428","v":0},0,1623.1489598789378,0,0,247.90298349546785,0,1871.0519433744057]
[null,"Vehicle entries gained from later period due to new tolls",null,null,null,null,2.0600831321413281E-13,18439.633937322164,-5.6532551653071795E-13,-3.3350934040023354E-13,0,0,-5.8664132381572563E-13,18439.633937322164,{"$f":"ROW()","v":430},{"$f":"Q427","v":0},12815.90105977653,0,0,0,0,{"$f":"P427","v":-5.8664132381572563E-13},12815.90105977653,null,{"$f":"Z427","v":2.0600831321413281E-13},1873.5434515424233,-5.6532551653071795E-13,0,0,0,{"$f":"Y427","v":0},1873.5434515424231,null,{"$f":"AI427","v":0},2127.0404661242706,0,-3.3350934040023354E-13,0,0,{"$f":"AH427","v":0},2127.0404661242701,null,null,null,null,null,null,null,null,null,null,{"$f":"BA427","v":0},1623.1489598789378,0,0,0,0,{"$f":"AZ427","v":0},1623.1489598789378]
[null,"Vehicle entries gained from earlier period due to new tolls",null,null,null,null,9.5308603642526263E-13,-5.6529647937661677E-13,0,0,7.2679826007281934E-13,0,2758.5624666064518,2758.5624666064527,{"$f":"ROW()","v":431},{"$f":"V428","v":0},{"$f":"P428","v":-5.6529647937661677E-13},0,0,0,0,815.24344748531485,815.24344748531428,null,{"$f":"AE428","v":0},{"$f":"Y428","v":0},0,0,7.2679826007281934E-13,0,1158.6558477481983,1158.655847748199,null,{"$f":"AN428","v":9.5308603642526263E-13},{"$f":"AH428","v":0},0,0,0,0,536.7601878774708,536.76018787747171,null,null,null,null,null,null,null,null,null,null,{"$f":"BF428","v":0},{"$f":"AZ428","v":0},0,0,0,0,247.90298349546785,247.90298349546785]
[null,"Vehicle entries switched into period, total",null,null,null,null,1.1590943496393954E-12,18439.633937322164,-5.6532551653071795E-13,-3.3350934040023354E-13,7.2679826007281934E-13,0,2758.5624666064509,21198.196403928614,{"$f":"ROW()","v":432},{"$f":"P430+P431","v":0},12815.90105977653,0,0,0,0,815.24344748531428,13631.144507261844,null,{"$f":"Y430+Y431","v":2.0600831321413281E-13},1873.5434515424233,-5.6532551653071795E-13,0,7.2679826007281934E-13,0,1158.6558477481983,3032.1992992906221,null,{"$f":"AH430+AH431","v":9.5308603642526263E-13},2127.0404661242706,0,-3.3350934040023354E-13,0,0,536.7601878774708,2663.8006540017418,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ430+AZ431","v":0},1623.1489598789378,0,0,0,0,247.90298349546785,1871.0519433744057]
[null,"Net change in auto entries in period due to new tolls",null,null,null,null,-1.2824875664334599E-2,18439.630223285261,-27166.107847742707,-2764.5702000464998,-9859.3746804948023,-22284.101270952822,2758.552766672793,-40875.983834154438,{"$f":"ROW()","v":433},{"$f":"P432-P429-P426","v":-2.1909181399884926E-3},{"$f":"Q432-Q429-Q426","v":12815.898634568668},-18101.264283483633,-1293.2534318769374,-3717.5159745073488,-5990.8632016213069,815.24136985059033,-15471.759077988108,null,{"$f":"Y432-Y429-Y426","v":-6.1752273544256504E-3},1873.5430623921379,-3197.0612956605128,-821.26497935945235,-3321.7696873675991,-10441.2029643235,1158.6514252822763,-14749.110614264004,null,{"$f":"AH432-AH429-AH426","v":-4.0803725142437393E-3},2127.0397076569579,-3754.1330757002243,-501.72104951884779,-2304.1809985287873,-4852.8312373403096,536.75733212642626,-8749.0734016772985,null,{"$f":"AQ406","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ433:AW433)","v":0},null,{"$f":"AZ432-AZ429-AZ426","v":-3.7835765567671454E-4},1623.1488186674974,-2113.649192898336,-148.33073929126266,-515.90802009106733,-999.20386766770469,247.90263941350037,-1906.0407402250285,null,{"$f":"BI406+BI426","v":529.10802627402472},40.894750075671396,390.65522465515716,175.87207581012601,540.35252673555146,1256.5523979752286,769.23284328587101,{"$f":"SUM(BI433:BO433)","v":3702.6678448116309}]
[null,"Daily cordon auto entries in period after tolls, 1st round (vehs.)",null,null,null,null,{"$f":"P434+Y434+AH434+AQ434+AZ434+BI434","v":58517.245229127286},41038.627528489989,89646.127351586867,32620.208950497181,107605.73679696889,171111.051923319,75687.686230667969,576226.68401065713,{"$f":"ROW()","v":434},{"$f":"P425+P433","v":8102.6172074328151},26123.295133387892,53417.307953059761,15824.697887966306,44668.649822302854,46553.552077772125,15538.120840090121,210228.24092201187,null,{"$f":"Y425+Y433","v":17428.301530052609},3681.053164066826,9411.7842963650019,6854.978153770835,27215.662246927674,56531.177937790402,22827.932056762664,143950.88938573602,null,{"$f":"AH425+AH433","v":18002.941908724013},6069.3424560330768,8163.7257970782803,3009.0929371988227,13333.29463085916,26279.628487016616,16892.90038141271,91750.92659832268,null,{"$f":"AQ425+AQ433","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ434:AW434)","v":32900},null,{"$f":"AZ425+AZ433","v":3654.7681083573075},3223.7983855307375,5951.1447698467036,2227.4308590503065,7420.480998777567,11641.164301343575,4675.1718368687743,38793.959259774972,null,{"$f":"BI425+BI433","v":8374.2704496730221},647.2472162576812,6182.9576218633574,2783.5531767507705,8552.2388101218403,19887.639370981735,12174.761199163218,{"$f":"SUM(BI434:BO434)","v":58602.667844811629}]
[null,"Per-hour cordon auto entries in period after tolls, 1st round (vehs.)",null,null,null,null,{"$f":"G434/G135","v":9752.8742048545482},41038.627528489989,29882.042450528956,32620.208950497181,26901.434199242223,28518.5086538865,25229.228743555988,null,{"$f":"ROW()","v":435},{"$f":"P434/P135","v":1350.4362012388026},26123.295133387892,17805.769317686587,15824.697887966306,11167.162455575713,7758.9253462953538,5179.3736133633738,null,null,{"$f":"Y434/Y135","v":2904.7169216754351},3681.053164066826,3137.2614321216674,6854.978153770835,6803.9155617319184,9421.8629896317343,7609.3106855875549,null,null,{"$f":"AH434/AH135","v":3000.4903181206687},6069.3424560330768,2721.2419323594268,3009.0929371988227,3333.32365771479,4379.9380811694364,5630.9667938042367,null,null,{"$f":"AQ434/AQ135","v":492.39100414792091},1293.8911732137742,2173.0689711245846,1920.4559357601381,1603.8525719949512,1702.9816247357539,1192.9333054568262,null,null,{"$f":"AZ434/AZ135","v":609.12801805955121},3223.7983855307375,1983.7149232822346,2227.4308590503065,1855.1202496943918,1940.1940502239293,1558.3906122895914,null,null,{"$f":"BI434/BI135","v":1395.7117416121703},647.2472162576812,2060.9858739544525,2783.5531767507705,2138.0597025304601,3314.6065618302891,4058.253733054406]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"3. Changes to trip entries due to subway \"attraction\" as well as any exogenous event as reflected in Section D, above",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Change in inbound baseline volume due to exogenous event",null,null,null,null,{"$f":"P438+Y438+AH438+AQ438+AZ438+BI438","v":0},0,0,0,0,0,0,{"$f":"SUM(G438:M438)","v":0},{"$f":"ROW()","v":438},{"$f":"P391","v":0},0,0,0,0,0,0,{"$f":"SUM(P438:V438)","v":0},null,{"$f":"Y391","v":0},0,0,0,0,0,0,{"$f":"SUM(Y438:AE438)","v":0},null,{"$f":"AH391","v":0},0,0,0,0,0,0,{"$f":"SUM(AH438:AN438)","v":0},null,{"$f":"AQ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ438:AW438)","v":0},null,{"$f":"AZ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AZ438:BF438)","v":0},null,{"$f":"BI391","v":0},0,0,0,0,0,0,{"$f":"SUM(BI438:BO438)","v":0}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O391, \".\")","v":"Copied from Row 391."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,"Each of the seven values in the next row is the sum of entries for corresponding hours in Subways worksheet, Section 4. The sum, in Col. N, is then allocated to the corresponding sum columns for Work, Non-Work and Through Trips, based on their shares of total m.v. trips into the CBD. Those sums are then allocated to each of the seven time periods according to the periods' shares of 24-h trips. This procedure is performed on both work and non-work trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":441}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Decrs in cordon entries due to work trips attracted by subways",null,null,null,null,{"$f":"Subways!AM306+SUM(Subways!P306:T306)","v":867.35484184711686},{"$f":"Subways!U306","v":1419.3161588295936},{"$f":"SUM(Subways!V306:X306)","v":26105.567956110954},{"$f":"Subways!Y306","v":8897.9132152999628},{"$f":"SUM(Subways!Z306:AC306)","v":10356.085088156799},{"$f":"SUM(Subways!AD306:AI306)","v":15183.334549767051},{"$f":"SUM(Subways!AJ306:AL306)","v":1414.039065469633},{"$f":"SUM(G443:M443)","v":64243.610875481107},{"$f":"ROW()","v":443},{"$f":"$W$443*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))","v":1828.3749246796322},{"$f":"$W$443*'Weekday Hours'!T40","v":3002.8449906165438},{"$f":"$W$443*SUM('Weekday Hours'!T41:T43)","v":16138.332272252313},{"$f":"$W$443*'Weekday Hours'!T44","v":3862.7055543862489},{"$f":"$W$443*SUM('Weekday Hours'!T45:T48)","v":10918.450922461452},{"$f":"$W$443*SUM('Weekday Hours'!T49:T54)","v":11856.769595811033},{"$f":"$W$443*SUM('Weekday Hours'!T55:T57)","v":3322.2520174087222},{"$f":"$N443*(I85/(I85+I53*K85))","v":50929.730277615949},null,null,null,null,null,null,null,null,null,null,{"$f":"$AO$443*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":2384.9659035686232},{"$f":"$AO$443*'Weekday Hours'!V40","v":522.26216987577413},{"$f":"$AO$443*SUM('Weekday Hours'!V41:V43)","v":1578.8353235261779},{"$f":"$AO$443*'Weekday Hours'!V44","v":465.10008179576141},{"$f":"$AO$443*SUM('Weekday Hours'!V45:V48)","v":2071.5968495691291},{"$f":"$AO$443*SUM('Weekday Hours'!V49:V54)","v":4124.3169302282013},{"$f":"$AO$443*SUM('Weekday Hours'!V55:V57)","v":2166.8033393014898},{"$f":"$N443*((I53*K85)/(I85+I53*K85))","v":13313.88059786516},null,{"$f":"CONCATENATE(\"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows \",$O402, \" and \",$O410, \".\")","v":"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows 402 and 410."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"We have eliminated these entries for UberLyfts, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows \",$O402, \" and \",$O410, \".\")","v":"We have eliminated these entries for UberLyfts, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows 402 and 410."}]
[null,"Decrs in cordon entries due to non-wk trips attracted by subways",null,null,null,null,{"$f":"Subways!AM308+SUM(Subways!P308:T308)","v":586.58668841758708},{"$f":"Subways!U308","v":157.95805282436882},{"$f":"SUM(Subways!V308:X308)","v":2905.3320196269351},{"$f":"Subways!Y308","v":990.26354131556752},{"$f":"SUM(Subways!Z308:AC308)","v":3357.9727635387967},{"$f":"SUM(Subways!AD308:AI308)","v":5703.0047796693616},{"$f":"SUM(Subways!AJ308:AL308)","v":1468.7937258306417},{"$f":"SUM(G444:M444)","v":15169.911571223258},{"$f":"ROW()","v":444},null,null,null,null,null,null,null,null,null,{"$f":"$AF$444*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))","v":1320.6203217373393},{"$f":"$AF$444*'Weekday Hours'!U40","v":136.96307251299893},{"$f":"$AF$444*SUM('Weekday Hours'!U41:U43)","v":955.4282609683637},{"$f":"$AF$444*'Weekday Hours'!U44","v":581.66305344364571},{"$f":"$AF$444*SUM('Weekday Hours'!U45:U48)","v":2313.9569181397637},{"$f":"$AF$444*SUM('Weekday Hours'!U49:U54)","v":5074.7949089555359},{"$f":"$AF$444*SUM('Weekday Hours'!U55:U57)","v":1641.977686146357},{"$f":"$N444*(J85/(J85+(1-I53)*K85))","v":12025.404221904004},null,{"$f":"$AO$444*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":563.28752211056326},{"$f":"$AO$444*'Weekday Hours'!V40","v":123.34925338816119},{"$f":"$AO$444*SUM('Weekday Hours'!V41:V43)","v":372.8934807323551},{"$f":"$AO$444*'Weekday Hours'!V44","v":109.84856102812482},{"$f":"$AO$444*SUM('Weekday Hours'!V45:V48)","v":489.27519444190176},{"$f":"$AO$444*SUM('Weekday Hours'!V49:V54)","v":974.09202393657745},{"$f":"$AO$444*SUM('Weekday Hours'!V55:V57)","v":511.76131368156967},{"$f":"$N444*((1-I53)*K85/(J85+(1-I53)*K85))","v":3144.507349319254}]
[null,{"$f":"CONCATENATE(\"Preceding two rows draw on data from Subways worksheet, Rows \",Subways!O306, \" and \",Subways!O308, \".\")","v":"Preceding two rows draw on data from Subways worksheet, Rows 306 and 308."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":445}]
[null,"Net chng auto entries from new tolls, sub attract, exogenous event",null,null,null,null,{"$f":"P446+Y446+AH446+AQ446+AZ446+BI446","v":-5568.1534706977964},{"$f":"Q446+Z446+AI446+AR446+BA446+BJ446","v":14695.105486967455},-45820.941960566757,-7608.0153748901557,-25112.302038371497,-43057.522331908942,-4115.0087465794741,{"$f":"SUM(G446:M446)","v":-116586.83843604717},{"$f":"ROW()","v":446},{"$f":"P433-P443-P444+P438","v":-1828.3771155977722},9813.0536439521238,-34239.596555735945,-5155.9589862631865,-14635.966896968801,-17847.632797432339,-2507.010647558132,{"$f":"SUM(P446:V446)","v":-66401.489355604048},null,{"$f":"Y433-Y443-Y444+Y438","v":-1320.6264969646936},1736.579989879139,-4152.489556628876,-1402.9280328030982,-5635.7266055073633,-15515.997873279037,-483.32626086408072,{"$f":"SUM(Y446:AE446)","v":-26774.514836168008},null,{"$f":"AH433-AH443-AH444+AH438","v":-2948.2575060517006},1481.4282843930225,-5705.8618799587566,-1076.6696923427339,-4865.0530425398174,-9951.2401915050868,-2141.8073208566334,{"$f":"SUM(AH446:AN446)","v":-25207.461348861707},null,{"$f":"AQ433+AQ438","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ446:AW446)","v":0},null,{"$f":"AZ433+AZ438","v":-3.7835765567671454E-4},1623.1488186674974,-2113.649192898336,-148.33073929126266,-515.90802009106733,-999.20386766770469,247.90263941350037,{"$f":"SUM(AZ446:BF446)","v":-1906.0407402250285},null,{"$f":"BI433+BI438","v":529.10802627402472},40.894750075671396,390.65522465515716,175.87207581012601,540.35252673555146,1256.5523979752286,769.23284328587101,{"$f":"SUM(BI446:BO446)","v":3702.6678448116309}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is calculated as Row \",O433, \" less Rows \",O443, \" and \",O444,\" plus Row \",O438,\".\")","v":"Each figure in above row is calculated as Row 433 less Rows 443 and 444 plus Row 438."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":447}]
[null,"Daily cordon auto entries in period after tolls and subway attraction",null,null,null,null,52419.996557031132,37253.208042096507,70600.638014107637,27600.891699843396,91812.456912356647,149081.07846438762,68044.891874129826,{"$f":"SUM(G448:M448)","v":496813.1615639528},{"$f":"ROW()","v":448},{"$f":"P425+P446","v":6274.2422827531827},23120.450142771348,37278.975680807445,11961.992333580056,33750.198899841402,34696.782481961098,12215.868822681399,{"$f":"SUM(P448:V448)","v":159298.51064439592},null,{"$f":"Y425+Y446","v":16107.681208315269},3544.0900915538273,8456.3560353966386,6273.3151003271896,24901.70532878791,51456.383028834869,21185.954370616306,{"$f":"SUM(Y448:AE448)","v":131925.485163832},null,{"$f":"AH425+AH446","v":15054.688483044825},5423.7310327691412,6211.9969928197479,2434.1442943749366,10772.42258684813,21181.219532851839,14214.335728429651,{"$f":"SUM(AH448:AN448)","v":75292.538651138268},null,{"$f":"AQ425+AQ446","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ448:AW448)","v":32900},null,{"$f":"AZ425+AZ446","v":3654.7681083573075},3223.7983855307375,5951.1447698467036,2227.4308590503065,7420.480998777567,11641.164301343575,4675.1718368687743,{"$f":"SUM(AZ448:BF448)","v":38793.959259774972},null,{"$f":"BI425+BI446","v":8374.2704496730221},647.2472162576812,6182.9576218633574,2783.5531767507705,8552.2388101218403,19887.639370981735,12174.761199163218,{"$f":"SUM(BI448:BO448)","v":58602.667844811629}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is calculated as Sum of figures in Rows \",O425, \" and \",O446, \".\")","v":"Each figure in above row is calculated as Sum of figures in Rows 425 and 446."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,"Per-hr cordon auto entries in period after tolls + subway attraction",null,null,null,null,{"$f":"G448/G135","v":8736.6660928385227},37253.208042096507,23533.546004702544,27600.891699843396,22953.114228089162,24846.846410731272,22681.630624709942,null,{"$f":"ROW()","v":450},{"$f":"P448/P135","v":1045.7070471255304},23120.450142771348,12426.325226935814,11961.992333580056,8437.5497249603504,5782.7970803268499,4071.9562742271332,null,null,{"$f":"Y448/Y135","v":2684.6135347192117},3544.0900915538273,2818.785345132213,6273.3151003271896,6225.4263321969775,8576.0638381391454,7061.9847902054353,null,null,{"$f":"AH448/AH135","v":2509.1147471741374},5423.7310327691412,2070.6656642732491,2434.1442943749366,2693.1056467120325,3530.2032554753064,4738.11190947655,null,null,{"$f":"AQ448/AQ135","v":492.39100414792091},1293.8911732137742,2173.0689711245846,1920.4559357601381,1603.8525719949512,1702.9816247357539,1192.9333054568262,null,null,{"$f":"AZ448/AZ135","v":609.12801805955121},3223.7983855307375,1983.7149232822346,2227.4308590503065,1855.1202496943918,1940.1940502239293,1558.3906122895914,null,null,{"$f":"BI448/BI135","v":1395.7117416121703},647.2472162576812,2060.9858739544525,2783.5531767507705,2138.0597025304601,3314.6065618302891,4058.253733054406]
[null,"Daily entries in period after tolls, \"1st Round,\" % of pre-tolls entries",null,null,null,null,{"$f":"G448/G425","v":0.9039777356574541},1.6514335791786803,0.60642226320468806,0.78391787740694219,0.78522682224255191,0.77590384153177994,0.94297374703702819,0.80993342283005021,{"$f":"ROW()","v":451},{"$f":"P448/P425","v":0.77434740227711008},1.7374134861633412,0.52124888004628323,0.6987981277709111,0.69751753097300262,0.66033245012754538,0.82972008616753656,0.70579756599200683,null,{"$f":"Y448/Y425","v":0.92422520193600866},1.9607581104361014,0.67066853770854928,0.81723767623407739,0.81544857414227678,0.76832243882807383,0.97769532505098855,0.83128850134739762,null,{"$f":"AH448/AH425","v":0.83623471914889314},1.375777401926638,0.52123431390923125,0.69332761678173283,0.68888501201582775,0.68035804817183809,0.86905181041748758,0.74917948906605247,null,{"$f":"AQ448/AQ425","v":1},1,1,1,1,1,1,1,null,{"$f":"AZ448/AZ425","v":0.99999989647561616},2.0140563258004986,0.73791652921795081,0.93756497310386422,0.93499461545237961,0.92095136357520657,1.05599448065096,0.95316853218120323,null,{"$f":"BI448/BI425","v":1.0674438587397383},1.0674438587397381,1.0674438587397383,1.0674438587397381,1.0674438587397383,1.0674438587397383,1.0674438587397381,1.0674438587397381]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"4. Changes in cordon VMT from changes in vehicle entries due to tolls or taxi occupancy rates",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453}]
[null,"Changes in cordon inbound VMT in period",null,null,null,null,{"$f":"P454+Y454+AH454+AQ454+AZ454+BI454","v":-7859.8050535112498},19303.39265043267,-59703.977600754806,-9879.9682768029361,-33087.034986192186,-57240.499849336069,-5639.1096248493222,{"$f":"SUM(G454:M454)","v":-154107.00274101389},{"$f":"ROW()","v":454},{"$f":"P446*$I$99","v":-2285.4713944972154},12266.317054940155,-42799.495694669931,-6444.9487328289833,-18294.958621211001,-22309.540996790423,-3133.7633094476651,{"$f":"SUM(P454:V454)","v":-83001.86169450506},null,{"$f":"Y446*$J$99","v":-1650.783121205867},2170.7249873489236,-5190.611945786095,-1753.6600410038727,-7044.6582568842041,-19394.997341598795,-604.1578260801009,{"$f":"SUM(Y454:AE454)","v":-33468.143545210012},null,{"$f":"AH446*$K$99","v":-4717.2120096827211},2370.2852550288362,-9129.3790079340106,-1722.6715077483743,-7784.0848680637082,-15921.98430640814,-3426.8917133706136,{"$f":"SUM(AH454:AN454)","v":-40331.938158178731},null,{"$f":"AQ446*$L$99","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ454:AW454)","v":0},null,{"$f":"AZ446*$L$99","v":-5.6753648351507183E-4},2434.7232280012458,-3170.473789347504,-222.49610893689399,-773.86203013660099,-1498.805801501557,371.85395912025058,{"$f":"SUM(AZ454:BF454)","v":-2859.0611103375431},null,{"$f":"BI446*$L$99","v":793.66203941103709},61.342125113507095,585.98283698273576,263.80811371518899,810.5287901033272,1884.8285969628428,1153.8492649288064,{"$f":"SUM(BI454:BO454)","v":5554.0017672174454}]
[null,{"$f":"CONCATENATE(\"Calculated as product of each period's changes in daily cordon entries in Row \",O446, \" and each trip type's per-entry CBD miles in Row \",O99,\".\")","v":"Calculated as product of each period's changes in daily cordon entries in Row 446 and each trip type's per-entry CBD miles in Row 99."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,"Changes in cordon outbound VMT in period",null,null,null,null,{"$f":"P456+Y456+AH456+AQ456+AZ456+BI456","v":-17035.501807530156},-1338.0843362920891,-28535.321144089568,-7703.5417568856847,-29940.382760137913,-56751.037966557153,-18357.134736738772,{"$f":"SUM(G456:M456)","v":-159661.00450823133},{"$f":"ROW()","v":456},{"$f":"$W$454*P158","v":-8568.2475979023257},-2579.4350810387614,-13498.214429262911,-4160.1210871407793,-15411.282678651294,-28399.513787159707,-10385.047033349278,{"$f":"SUM(P456:V456)","v":-83001.86169450506},null,{"$f":"$AF$454*Y158","v":-3454.9025128249673},{"$f":"$AF$454*Z158","v":-1040.083942640902},-5442.7716306573384,-1677.4506844477226,-6214.1620726930832,-11451.297412353777,-4187.4752895922211,{"$f":"SUM(Y456:AE456)","v":-33468.143545210012},null,{"$f":"AH454","v":-4717.2120096827211},2370.2852550288362,-9129.3790079340106,-1722.6715077483743,-7784.0848680637082,-15921.98430640814,-3426.8917133706136,-40331.938158178731,null,{"$f":"$AX$454*AQ158","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ456:AW456)","v":0},null,{"$f":"$BG$454*AZ158","v":-295.13968712014304},-88.850567641261961,-464.95607623530657,-143.29847754880851,-530.85314072982442,-978.24246063553755,-357.72070042666104,{"$f":"SUM(AZ456:BF456)","v":-2859.0611103375431},null,{"$f":"$AX$454*BI158","v":0},0,0,0,0,0,0,{"$f":"SUM(BI456:BO456)","v":0}]
[null,"Calculated, for each trip type, as product of two quantities:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",O454,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 454, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,null,null,null,"Fare trips assoc'd w/ ea. cordon-crossing trip:",{"$f":"Taxis!$L$246","v":9.2821782178217873},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O246, \")\")","v":"(Taxi worksheet, Row 246)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fare trips assoc'd w/ ea. cordon-crossing trip:",{"$f":"Taxis!$L$246","v":9.2821782178217873},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O246, \")\")","v":"(Taxi worksheet, Row 246)"}]
[null,{"$f":"CONCATENATE(\"(i) total change in each trip type's cordon VMT due to change in number of inbound entries, shown in Row \",O454, \", and\")","v":"(i) total change in each trip type's cordon VMT due to change in number of inbound entries, shown in Row 454, and"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Miles driven w/i cordon, per fare trip:",{"$f":"Taxis!$L$224","v":2.473907692307693},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O224, \")\")","v":"(Taxi worksheet, Row 224)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Miles driven w/i cordon, per fare trip:",{"$f":"Taxis!$L$224","v":2.473907692307693},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O224, \")\")","v":"(Taxi worksheet, Row 224)"}]
[null,{"$f":"CONCATENATE(\"(ii) each period's share of 24-h traffic volume for that trip type, shown in row \",O158, \".\")","v":"(ii) each period's share of 24-h traffic volume for that trip type, shown in row 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":459},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows \",$O454,\" and \",$O456, \" (to reflect in-cordon taxi driving).\")","v":"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows 454 and 456 (to reflect in-cordon taxi driving)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows \",$O454,\" and \",$O456, \" (to reflect in-cordon UberLyft driving).\")","v":"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows 454 and 456 (to reflect in-cordon UberLyft driving)."}]
[null,"Premise: each inbound trip eliminated (or added) has corresponding outbound trip elim'd (or added); since precise time of the corresp. trip can't be known, a reasonable approach is to assume outbound trips follow same distribution as all traffic. To extent that outbound trips fall in same time period as inbound, that could indicate trips that pass through cordon en route elsewhere.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":460},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Taxis!$K$145*Taxis!F$289/(Taxis!$F$289+Taxis!$G$289+Taxis!$L$289)","v":-5573.5589251863821},{"$f":"Taxis!$K$145*Taxis!G$289/(Taxis!$F$289+Taxis!$G$289+Taxis!$L$289)","v":-383.07106902447117},{"$f":"Taxis!$J$145*Taxis!H289/SUM(Taxis!$H$289:$K$289)","v":1215.1195281938985},{"$f":"Taxis!$J$145*Taxis!I289/SUM(Taxis!$H$289:$K$289)","v":509.87998266064778},{"$f":"Taxis!$J$145*Taxis!J289/SUM(Taxis!$H$289:$K$289)","v":1709.9473510317359},{"$f":"Taxis!$J$145*Taxis!K289/SUM(Taxis!$H$289:$K$289)","v":3249.6604600089686},{"$f":"Taxis!$K$145*Taxis!L$289/(Taxis!$F$289+Taxis!$G$289+Taxis!$L$289)","v":-8398.5589796266213},{"$f":"SUM(AQ460:AW460)","v":-7670.5816519422233},null,null,null,null,null,null,null,null,null,null,{"$f":"UberLyft!F418/(1-SUM(UberLyft!$H$418:$K$418))*UberLyft!$K$289","v":-3147.4815487520659},{"$f":"UberLyft!G418/(1-SUM(UberLyft!$H$418:$K$418))*UberLyft!$K$289","v":-243.26879372897895},{"$f":"UberLyft!H418/SUM(UberLyft!$H$418:$K$418)*UberLyft!$J$289","v":2863.6484032253788},{"$f":"UberLyft!I418/SUM(UberLyft!$H$418:$K$418)*UberLyft!$J$289","v":1289.207867398098},{"$f":"UberLyft!J418/SUM(UberLyft!$H$418:$K$418)*UberLyft!$J$289","v":3960.9854232231964},{"$f":"UberLyft!K418/SUM(UberLyft!$H$418:$K$418)*UberLyft!$J$289","v":9210.997424153562},{"$f":"UberLyft!L418/(1-SUM(UberLyft!$H$418:$K$418))*UberLyft!$K$289","v":-4575.9014430116758},{"$f":"SUM(BI460:BO460)","v":9358.1873325075139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'Taxis' tab, Row \",Taxis!O145, \", by period's share of pk/off-pk in same tab, Row \",Taxis!O289, \".\")","v":"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'Taxis' tab, Row 145, by period's share of pk/off-pk in same tab, Row 289."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'UberLyft' tab, Row \",UberLyft!O289, \", by period's share of pk/off-pk in same tab, Row \",UberLyft!O418, \".\")","v":"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'UberLyft' tab, Row 289, by period's share of pk/off-pk in same tab, Row 418."}]
[null,"Total chng in cordon VMT after tolls",null,null,{"$f":"CONCATENATE(\"Differs slightly from Rows \",O454, \" + \",O456, \" due to Taxis.\")","v":"Differs slightly from Rows 454 + 456 due to Taxis."},null,{"$f":"P462+Y462+AH462+AQ462+AZ462+BI462","v":-33616.347334979859},17338.968451387125,-84160.530813425095,-15784.422183629868,-57356.484972075137,-101530.87993173065,-36970.704784226393,{"$f":"SUM(G462:M462)","v":-312080.40156867984},{"$f":"ROW()","v":462},{"$f":"P454+P456","v":-10853.718992399541},{"$f":"Q454+Q456","v":9686.8819739013925},-56297.71012393284,-10605.069819969762,-33706.241299862297,-50709.054783950131,-13518.810342796944,-166003.72338901012,null,{"$f":"Y454+Y456","v":-5105.6856340308341},1130.6410447080216,-10633.383576443433,-3431.1107254515955,-13258.820329577287,-30846.29475395257,-4791.6331156723218,-66936.287090420024,null,{"$f":"AH454+AH456","v":-9434.4240193654423},4740.5705100576724,-18258.758015868021,-3445.3430154967486,-15568.169736127416,-31843.968612816279,-6853.7834267412272,-80663.876316357462,null,{"$f":"AQ454+AQ456+AQ460","v":-5573.5589251863821},-383.07106902447117,1215.1195281938985,509.87998266064778,1709.9473510317359,3249.6604600089686,-8398.5589796266213,-7670.5816519422233,null,{"$f":"AZ454+AZ456","v":-295.14025465662655},2345.8726603599839,-3635.4298655828106,-365.7945864857025,-1304.7151708664255,-2477.0482621370948,14.133258693589539,-5718.1222206750863,null,{"$f":"BI454+BI456+BI460","v":-2353.8195093410286},-181.92666861547184,3449.6312402081148,1553.0159811132869,4771.5142133265235,11095.826021116405,-3422.0521780828694,14912.189099724959]
[null,"Cordon VMT in period after new tolls",null,null,null,null,{"$f":"G164+G462","v":402418.16166371369},102279.19851581054,398098.55915023008,145059.68347995123,526224.30354469072,935475.17448120797,415109.23591060092,{"$f":"SUM(G463:M463)","v":2924664.3167462051},{"$f":"ROW()","v":463},{"$f":"P164+P462","v":40508.698770124211},35265.8342363501,82066.997510749381,26644.788474734149,91496.026624776277,147991.91780000209,54879.15605139648,{"$f":"SUM(P463:V463)","v":478853.41946813266},null,{"$f":"Y164+Y462","v":45673.312536623831},9679.4612973988442,39558.255310796143,17310.754636666214,70420.254832855018,146401.95039461824,57448.295329193141,{"$f":"SUM(Y463:AE463)","v":386492.28433815145},null,{"$f":"AH164+AH462","v":38129.445116601579},14718.62246621403,21247.28678787539,8904.5126289391283,37808.968808981866,78064.73629992464,42062.551575105877,{"$f":"SUM(AH463:AN463)","v":240936.12368364251},null,{"$f":"AQ164+AQ462","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ463:AW463)","v":632517.43270702334},null,{"$f":"AZ164+AZ462","v":26675.203515213965},13467.562636139874,52695.960488971097,16336.675686126433,55381.934166353894,90076.017894749413,32688.523391770243,{"$f":"SUM(AZ463:BF463)","v":287321.87777932495},null,{"$f":"BI164+BI462","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI463:BO463)","v":898543.17876993015}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"5. Changes in cordon VMT due to changes in taxi usage resulting from changes in taxi fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":465}]
[null,"Increase in auto trips from changed taxi fare ",null,null,null,null,null,null,null,null,null,null,"(sum of work and non-work trips in next two column blocks; figure here is for display only, calc's are done further to right)",{"$f":"W466+AF466","v":-3010.7563968709037},{"$f":"ROW()","v":466},null,null,null,null,null,null,{"$f":"CONCATENATE(\"(from 'Taxis' worksheet, Row \",Taxis!O670, \")\")","v":"(from 'Taxis' worksheet, Row 670)"},{"$f":"Taxis!H670","v":-1704.20173407787},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(from 'Taxis' worksheet, Row \",Taxis!O670, \")\")","v":"(from 'Taxis' worksheet, Row 670)"},{"$f":"Taxis!I670","v":-1306.5546627930337}]
[null,"Now assign to different 24-hour time bins, prorated by respective work and non-work trip distributions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467},{"$f":"P139/$W$139*$W$466","v":-61.18076220311336},-100.48067429928888,-540.0180541616777,-129.25317821505283,-365.35129666062596,-396.74915212782469,-111.1686164102866,{"$f":"SUM(P467:V467)","v":-1704.2017340778702},null,{"$f":"Y139/$AF$139*$AF$466","v":-143.4847933013566},-14.880975119020631,-103.80684310458933,-63.197424438086848,-251.4103596942557,-551.37414332708283,-178.40012380864189,{"$f":"SUM(Y467:AE467)","v":-1306.5546627930337}]
[null,"New auto trips from tolled-off taxi trips that stayed in CBD (didn't breach cordon)",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(algebra on a parameter in Row \",Taxis!O246,\" of Taxi worksheet)\")","v":"(algebra on a parameter in Row 246 of Taxi worksheet)"},{"$f":"Taxis!L246/(1+Taxis!L246)","v":0.90274434280211846},{"$f":"ROW()","v":468},{"$f":"$N$468*P467","v":-55.230586967182262},-90.708360284625257,-487.49824340546252,-116.68257542283295,-329.8188161957986,-358.16305259493083,-100.35683956152498,-1538.4584744323577,null,{"$f":"$N$468*Y467","v":-129.53008543093097},-13.433716104074955,-93.711040356815118,-57.051117391147251,-226.95927993583507,-497.74988865588847,-161.04970252344899,-1179.484830398141,null,null,"Through-trips are assumed unaffected by changes in taxi ridership.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Truck trips are assumed unaffected by changes in taxi ridership."]
[null,"Additional in-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O458,\" of taxi block)\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 458 of taxi block)"},null,{"$f":"ROW()","v":469},{"$f":"P468*$AU$458","v":-136.63537394878122},-224.40411026475206,-1206.0256543472617,-288.66192089681903,-815.94130645460325,-886.06233091500417,-248.27355736694565,-3806.0042541941671,null,{"$f":"Y468*$AU$458","v":-320.44547473285274},-33.233773606148766,-231.83246359288157,-141.13919816870839,-561.47630847387745,-1231.3872783911002,-398.42209791662611,-2917.9365948821951,null,null,null,null,null,null,null,null,null,null,{"$f":"$AX$364*AQ164","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ469:AW469)","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"$AX$364*BI164","v":0},0,0,0,0,0,0,{"$f":"SUM(BI469:BO469)","v":0}]
[null,"New auto trips from tolled-off taxi trips that originated outside CBD ",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(complement of percentage in Row \",O468,\")\")","v":"(complement of percentage in Row 468)"},{"$f":"1-N468","v":9.725565719788154E-2},{"$f":"ROW()","v":470},{"$f":"$N$470*P467","v":-5.9501752359311011},-9.7723140146636247,-52.519810756215151,-12.570602792219868,-35.532480464827358,-38.586099532893869,-10.811776848761623,-165.74325964551258,null,{"$f":"$N$470*Y467","v":-13.954707870425628},-1.447259014945675,-10.095802747774213,-6.1463070469395955,-24.451079758420626,-53.624254671194372,-17.350421285192901,-127.06983239489301,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are products of % change in number of medallion taxis from Cell AX\",$O364, \" and taxis' baseline cordon VMT for period in Row \",$O164, \".\")","v":"Figures are products of % change in number of medallion taxis from Cell AX364 and taxis' baseline cordon VMT for period in Row 164."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are products of % change in number of medallion taxis from Cell AX\",$O364, \" and taxis' baseline cordon VMT for period in Row \",$O164, \".\")","v":"Figures are products of % change in number of medallion taxis from Cell AX364 and taxis' baseline cordon VMT for period in Row 164."}]
[null,"Additional in-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O461,\")\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 461)"},null,{"$f":"ROW()","v":471},{"$f":"P470*$AU$458","v":-14.720184286748694},-24.175802812522615,-129.92916382834497,-31.098510944617296,-87.90407674870923,-95.458448450576427,-26.747337913665607,-410.03352498518484,null,{"$f":"Y470*$AU$458","v":-34.522659144552662},-3.58038520983576,-24.97608407773977,-15.205396282708847,-60.489714299585714,-132.6614561253345,-42.923340682217848,-314.35903582197506,null,null,null,null,null,null,null,null,null,null,{"$f":"AQ469/AQ135","v":0},0,0,0,0,0,0,0,null,null,null,null,null,null,null,null,null,null,{"$f":"BI469/BI135","v":0},0,0,0,0,0,0,0]
[null,{"$f":"CONCATENATE(\"Cordon VMT in period after tolls (sum of Rows \",O463, \", \",O469, \" and \",O471,\")\")","v":"Cordon VMT in period after tolls (sum of Rows 463, 469 and 471)"},null,null,null,null,{"$f":"P472+Y472+AH472+AQ472+AZ472+BI472","v":401911.8379716007},101993.80444391727,396505.7957843839,144583.57845365838,524698.49213871383,933129.60496732593,414392.86957672145,{"$f":"SUM(G472:M472)","v":2917215.9833363215},{"$f":"ROW()","v":472},{"$f":"P463+P469+P471","v":40357.343211888678},35017.25432327282,80731.04269257377,26325.028042892714,90592.181241572966,147010.3970206365,54604.135156115866,474637.38168895338,null,{"$f":"Y463+Y469+Y471","v":45318.344402746428},9642.647138582859,39301.446763125525,17154.410042214797,69798.288810081547,145037.90166010181,57006.949890594296,383259.98870744725,null,{"$f":"AH463+AH469+AH471","v":38129.445116601579},14718.62246621403,21247.28678787539,8904.5126289391283,37808.968808981866,78064.73629992464,42062.551575105877,{"$f":"SUM(AH472:AN472)","v":240936.12368364251},null,{"$f":"AQ463+AQ469","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ472:AW472)","v":632517.43270702334},null,{"$f":"AZ463+AZ469+AZ471","v":26675.203515213965},13467.562636139874,52695.960488971097,16336.675686126433,55381.934166353894,90076.017894749413,32688.523391770243,{"$f":"SUM(AZ472:BF472)","v":287321.87777932495},null,{"$f":"BI463+BI469","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI472:BO472)","v":898543.17876993015}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are sums of Rows \",$O463, \" and \",$O469, \".\")","v":"Figures are sums of Rows 463 and 469."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are sums of Rows \",AG463, \" and \",AG469, \".\")","v":"Figures are sums of Rows  and ."}]
[null,"6. Cordon speeds after the tolls",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":474}]
[null,"Hourly traffic after tolls (includes pre-existing intra-CBD traffic)",null,null,null,null,{"$f":"G472/G135","v":66985.306328600112},101993.80444391727,132168.59859479463,144583.57845365838,131174.62303467846,155521.60082788765,138130.95652557383,null,{"$f":"ROW()","v":475}]
[null,{"$f":"CONCATENATE(\"Calculated as Cordon VMT in period, in Row \",O463, \" divided by number of hours in period, in Row \",O135, \".\")","v":"Calculated as Cordon VMT in period, in Row 463 divided by number of hours in period, in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,"Hourly cordon traffic after tolls as % of same before tolls",null,null,null,null,{"$f":"G475/G166","v":0.92174318701184466},1.2007714644351619,0.82218418280983785,0.89890504757486744,0.8991017224406791,0.89983043107263394,0.91663626778002494,{"$f":"N472/N164","v":0.9012808352878332},{"$f":"ROW()","v":477},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,{"$f":"CONCATENATE(\"Ratio of post-toll hourly VMT in period, in Row \",O474, \" to pre-toll hourly VMT, in Row \",O166, \".\")","v":"Ratio of post-toll hourly VMT in period, in Row 474 to pre-toll hourly VMT, in Row 166."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,"% of cordon road capacity to be removed from m.v. service",null,null,null,null,{"$f":"'Policy Levers'!K185*Cordon!F296","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,{"$f":"CONCATENATE(\"Cell in box in above row is based on number specified in 'Policy Levers' tab, Cell K\",'Policy Levers'!O185, \" and draws on acreages est'd in Cordon worksheet.\")","v":"Cell in box in above row is based on number specified in 'Policy Levers' tab, Cell K185 and draws on acreages est'd in Cordon worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":480},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,"Equivalent magnification of cordon traffic volume",null,null,null,null,{"$f":"1/(1-G479)","v":1},null,null,null,null,null,null,null,{"$f":"ROW()","v":481},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,{"$f":"CONCATENATE(\"Calculated as reciprocal of the complement of the traffic capacity being removed from service (see Row \", O479, \").\")","v":"Calculated as reciprocal of the complement of the traffic capacity being removed from service (see Row 479)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,"Cordon speed (reflects new tolls + capacity removal two rows above)",null,null,null,null,{"$f":"KSC/(1+0.1*(G475*$G$481/V_sub_k)^KSE)","v":20.724714624649014},16.53206919702772,11.383396058975407,9.4194199405277743,11.54917102112268,7.8910080316454616,10.413384308072839,null,{"$f":"ROW()","v":483},{"$f":"G483","v":20.724714624649014},16.53206919702772,11.383396058975407,9.4194199405277743,11.54917102112268,7.8910080316454616,10.413384308072839,null,null,{"$f":"P483","v":20.724714624649014},16.53206919702772,11.383396058975407,9.4194199405277743,11.54917102112268,7.8910080316454616,10.413384308072839,null,null,{"$f":"Y483","v":20.724714624649014},16.53206919702772,11.383396058975407,9.4194199405277743,11.54917102112268,7.8910080316454616,10.413384308072839,null,null,{"$f":"$AU$198*G483","v":20.310220332156032},16.201427813087165,11.155728137795899,9.2310315417172184,11.318187600700226,7.7331878710125519,10.205116621911381,null,null,{"$f":"G483","v":20.724714624649014},16.53206919702772,11.383396058975407,9.4194199405277743,11.54917102112268,7.8910080316454616,10.413384308072839,null,null,{"$f":"$AU$198*Y483","v":20.310220332156032},{"$f":"$AU$198*Z483","v":16.201427813087165},{"$f":"$AU$198*AA483","v":11.155728137795899},{"$f":"$AU$198*AB483","v":9.2310315417172184},{"$f":"$AU$198*AC483","v":11.318187600700226},{"$f":"$AU$198*AD483","v":7.7331878710125519},{"$f":"$AU$198*AE483","v":10.205116621911381}]
[null,{"$f":"CONCATENATE(\"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row \",O194, \".\")","v":"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Non-cordon miles per fare trip:",{"$f":"Taxis!$L$226","v":1.66},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O226, \")\")","v":"(Taxi worksheet, Row 226)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Non-cordon miles per fare trip:",{"$f":"Taxis!$L$226","v":1.66},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O226, \")\")","v":"(Taxi worksheet, Row 226)"}]
[null,"7. Changes in non-cordon VMT from changes in vehicle entries due to tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Changes in non-cordon inbound VMT in period",null,null,null,null,{"$f":"P487+Y487+AH487+AQ487+AZ487+BI487","v":-124455.59064491953},257632.02595286127,-821966.26459590276,-139037.59589049997,-469512.07437231578,-822024.95793105231,-96094.374065700453,{"$f":"SUM(G487:M487)","v":-2215458.8315475294},{"$f":"ROW()","v":487},{"$f":"P446*$I$93","v":-30820.787343550688},165417.75598204281,-577173.77622520167,-86913.533379973625,-246717.1676184769,-300855.92864992708,-42260.451291605874,{"$f":"SUM(P487:V487)","v":-1119323.888526693},null,{"$f":"Y446*$J$93","v":-22261.681179432009},29273.371514295915,-69998.140142620818,-23649.030710600127,-95000.932659313185,-261551.7700345804,-8147.3869786294372,{"$f":"SUM(Y487:AE487)","v":-451335.57019088004},null,{"$f":"AH446*$K$93","v":-74547.764396792554},37458.453506516409,-144274.79493724593,-27223.985148238186,-123014.63737435055,-251620.73113677511,-54156.377864147755,{"$f":"SUM(AH487:AN487)","v":-637379.8373510337},null,{"$f":"AQ446*$L$93","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ487:AW487)","v":0},null,{"$f":"AZ446*$M$93","v":-5.8827884244313346E-3},25237.076449552085,-32863.484638765316,-2306.2791065487745,-8021.4518805884509,-15535.842497621099,3854.4450089673915,{"$f":"SUM(AZ487:BF487)","v":-29635.542547792589},null,{"$f":"BI446*$L$93","v":3174.6481576441483},245.36850045402838,2343.931347930943,1055.232454860756,3242.1151604133088,7539.3143878513711,4615.3970597152256,{"$f":"SUM(BI487:BO487)","v":22216.007068869782}]
[null,{"$f":"CONCATENATE(\"Calculated as product of each period's changes in daily cordon entries in Row \",O446, \" and each trip type's per-entry non-CBD miles in Row \",O99,\".\")","v":"Calculated as product of each period's changes in daily cordon entries in Row 446 and each trip type's per-entry non-CBD miles in Row 99."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Changes in non-cordon outbound VMT in period",null,null,null,null,-239745.55057409732,-12273.6486656946,-404523.47654708888,-107432.07740661661,-420147.71523838484,-799169.89478363411,-254382.47540088286,{"$f":"SUM(G489:M489)","v":-2237674.8386163991},{"$f":"ROW()","v":489},{"$f":"$W$487*P158","v":-115547.33861804998},-34785.042722741884,-182030.54190204898,-56101.427328690675,-207829.27639072516,-382982.42419561895,-140047.8373688173,{"$f":"SUM(P489:V489)","v":-1119323.888526693},null,{"$f":"$AF487*Y158","v":-46591.182850443227},-14026.080611973319,-73398.646507629615,-22621.307336918322,-83801.253527815716,-154426.78617797862,-56470.313178121214,{"$f":"SUM(Y489:AE489)","v":-451335.57019088004},null,{"$f":"AH487","v":-74547.764396792554},37458.453506516409,-144274.79493724593,-27223.985148238186,-123014.63737435055,-251620.73113677511,-54156.377864147755,{"$f":"SUM(AH489:AN489)","v":-637379.8373510337},null,{"$f":"$AX487*AQ158","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ489:AW489)","v":0},null,{"$f":"$BG487*AZ158","v":-3059.2647088115436},-920.97883749580717,-4819.4932001643483,-1485.3575927694121,-5502.5479454934384,-10139.953273261486,-3707.9469897965514,{"$f":"SUM(AZ489:BF489)","v":-29635.542547792586},null,{"$f":"$AX487*BI158","v":0},0,0,0,0,0,0,{"$f":"SUM(BI489:BO489)","v":0}]
[null,"Calculated, for each trip type, as product of two quantities:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":490},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",$O487,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 487, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O491, \" is additional change to non-cordon VMT beyond entries in Rows \",$O487,\" and \",$O489,\". It's product of Rows \",$O446, \", \",$O457, \" and \",$O485,\".\")","v":"Row 491 is additional change to non-cordon VMT beyond entries in Rows 487 and 489. It's product of Rows 446, 457 and 485."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O491, \" is additional change to non-cordon VMT beyond entries in Rows \",$O487,\" and \",$O489,\". It's product of Rows \",$O446, \", \",$O457, \" and \",$O485,\".\")","v":"Row 491 is additional change to non-cordon VMT beyond entries in Rows 487 and 489. It's product of Rows 446, 457 and 485."}]
[null,{"$f":"CONCATENATE(\"(i) total change in each trip type's non-cordon VMT due to change in number of inbound entries, shown in Row \",O487, \", and\")","v":"(i) total change in each trip type's non-cordon VMT due to change in number of inbound entries, shown in Row 487, and"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AQ446*$AU$457*$AU$485","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ491:AW491)","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"BI446*$AU$457*$AU$485","v":8152.7164939500144},630.12331490360043,6019.3781521741448,2709.910079005037,8325.9764329921018,19361.481874742083,11852.659528352844,{"$f":"SUM(BI491:BO491)","v":57052.245876119821}]
[null,{"$f":"CONCATENATE(\"(ii) each period's share of 24-h traffic volume for that trip type, shown in row \",O158, \".\")","v":"(ii) each period's share of 24-h traffic volume for that trip type, shown in row 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":492},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O493,\" is sum of Rows \",$O487,\", \",$O489,\" and \",$O491,\".\")","v":"Row 493 is sum of Rows 487, 489 and 491."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O493,\" is sum of Rows \",$O487,\", \",$O489,\" and \",$O491,\".\")","v":"Row 493 is sum of Rows 487, 489 and 491."}]
[null,"Total chng in non-cordon VMT after tolls",null,null,null,null,{"$f":"P493+Y493+AH493+AQ493+AZ493+BI493","v":-356048.42472506681},245988.50060207024,-1220470.3629908178,-243759.7632181115,-881333.81317770854,-1601833.3708399446,-338624.18993823044,{"$f":"SUM(G493:M493)","v":-4396081.4242878091},{"$f":"ROW()","v":493},{"$f":"P487+P489","v":-146368.12596160066},130632.71325930093,-759204.31812725065,-143014.96070866429,-454546.44400920207,-683838.35284554609,-182308.28866042319,{"$f":"SUM(P493:V493)","v":-2238647.777053386},null,{"$f":"Y487+Y489","v":-68852.864029875229},15247.290902322597,-143396.78665025043,-46270.338047518453,-178802.18618712889,-415978.55621255899,-64617.700156750652,{"$f":"SUM(Y493:AE493)","v":-902671.14038175996},null,{"$f":"AH487+AH489","v":-149095.52879358511},{"$f":"AI487+AI489","v":74916.907013032818},-288549.58987449185,-54447.970296476371,-246029.27474870111,-503241.46227355022,-108312.75572829551,{"$f":"SUM(AH493:AN493)","v":-1274759.6747020674},null,{"$f":"AQ487+AQ489+AQ491","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ493:AW493)","v":0},null,{"$f":"AZ487+AZ489","v":-3059.2705915999682},24316.097612056277,-37682.977838929663,-3791.6366993181864,-13523.99982608189,-25675.795770882585,146.49801917084005,{"$f":"SUM(AZ493:BF493)","v":-59271.085095585178},null,{"$f":"BI487+BI489+BI491","v":11327.364651594162},875.49181535762887,8363.3095001050879,3765.1425338657928,11568.09159340541,26900.796262593452,16468.05658806807,{"$f":"SUM(BI493:BO493)","v":79268.25294498961}]
[null,"New inbound + outbound non-cordon VMT in period (with toll)",null,null,null,null,{"$f":"G184+G493","v":5803428.0597561654},2060509.4197904347,8082876.1668279441,2626474.1472897548,9759819.9997969903,18036606.885342509,7017404.4436945207,{"$f":"SUM(G494:M494)","v":53387119.122498319},{"$f":"ROW()","v":494},{"$f":"P184+P493","v":1555903.0250889498},1043198.7540954348,4194623.4914542381,1170419.3634632169,3905233.3037121459,6083929.5355425086,2123932.0750852367,{"$f":"SUM(P494:V494)","v":20077239.54844173},null,{"$f":"Y184+Y493","v":1708037.2697456097},283687.72740422678,1477120.7064066806,661711.3843837434,2714465.6173256799,5827145.7408389105,2116482.1616572766,{"$f":"SUM(Y494:AE494)","v":14788650.607762128},null,{"$f":"AH184+AH493","v":2055358.5537887318},537372.08087806683,1542446.5703692634,517933.75955930748,2227853.8033070727,4590723.7188099222,2158824.3876258382,{"$f":"SUM(AH494:AN494)","v":13630512.8743382},null,{"$f":"AQ184+AQ493","v":38997.367528515337},17079.363486421822,86053.531256533563,25350.018352033821,84683.415801333424,134876.1446790717,47240.158896090325,{"$f":"SUM(AQ494:AW494)","v":434280},null,{"$f":"AZ184+AZ493","v":330248.33496389841},170292.14955732433,697810.16619797505,212873.08846517059,710258.86911665357,1127100.6011658222,403904.62954442936,{"$f":"SUM(AZ494:BF494)","v":3652487.8390112738},null,{"$f":"BI184+BI493","v":114883.50864046093},8879.344368960159,84821.701143253318,38186.533066282303,117324.99053410442,272831.14430627937,167021.03088564906,{"$f":"SUM(BI494:BO494)","v":803948.25294498948}]
[null,{"$f":"CONCATENATE(\"Sum of baseline non-cordon VMT in period in Row \",O184, \" and VMT change in Row \",O493, \" directly above.\")","v":"Sum of baseline non-cordon VMT in period in Row 184 and VMT change in Row 493 directly above."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":495}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"8. Changes in non-cordon VMT due to changes in taxi usage resulting from changes in taxi fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":497}]
[null,"New auto trips from tolled-off taxi trips that stayed in CBD (didn't breach cordon)",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(reproduces values from Row \",O468,\")\")","v":"(reproduces values from Row 468)"},{"$f":"N468","v":0.90274434280211846},{"$f":"ROW()","v":498},{"$f":"P468","v":-55.230586967182262},-90.708360284625257,-487.49824340546252,-116.68257542283295,-329.8188161957986,-358.16305259493083,-100.35683956152498,{"$f":"SUM(P498:V498)","v":-1538.4584744323577},null,{"$f":"Y468","v":-129.53008543093097},-13.433716104074955,-93.711040356815118,-57.051117391147251,-226.95927993583507,-497.74988865588847,-161.04970252344899,{"$f":"SUM(Y498:AE498)","v":-1179.484830398141}]
[null,"Additional non-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O485,\" of taxi block)\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 485 of taxi block)"},null,{"$f":"ROW()","v":499},{"$f":"P498*$AU$485","v":-91.682774365522548},-150.57587807247793,-809.24708405306774,-193.6930752019027,-547.49923488502566,-594.55066730758517,-166.59235367213145,{"$f":"SUM(P499:V499)","v":-2553.8410675577134},null,{"$f":"Y498*$AU$485","v":-215.01994181534539},-22.299968732764423,-155.56032699231309,-94.704854869304427,-376.7524046934862,-826.26481516877482,-267.34250618892531,{"$f":"SUM(Y499:AE499)","v":-1957.9448184609137},null,null,null,null,null,null,null,null,null,null,{"$f":"(AQ175/$AX$175)*$AX$499","v":1290.6390524091687},565.25080801284594,2847.9883406536073,838.97262143400792,2802.6436257443856,4463.7992406516241,1563.4387082340006,{"$f":"Taxis!$L431","v":14372.73239713964},null,null,null,null,null,null,null,null,null,null,{"$f":"(BI175/$AX$175)*$AX$499","v":3427.2468122677597},264.89184604193593,2530.4319853612124,1139.1946091458472,3500.0819923229428,8139.1983991141915,4982.6324287845946,{"$f":"Taxis!$L431","v":14372.73239713964}]
[null,"New auto trips from tolled-off taxi trips that originated outside CBD ",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(complement of percentage in Row \",O498,\")\")","v":"(complement of percentage in Row 498)"},{"$f":"1-N498","v":9.725565719788154E-2},{"$f":"ROW()","v":500},-5.9501752359311011,-9.7723140146636247,-52.519810756215151,-12.570602792219868,-35.532480464827358,-38.586099532893869,-10.811776848761623,{"$f":"SUM(P500:V500)","v":-165.74325964551258},null,{"$f":"Y470","v":-13.954707870425628},-1.447259014945675,-10.095802747774213,-6.1463070469395955,-24.451079758420626,-53.624254671194372,-17.350421285192901,{"$f":"SUM(Y500:AE500)","v":-127.06983239489301},null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs. in Row \",$O499, \" start w/ last column, taken from 'Taxi' wksht, Row \",Taxis!O431, \". Other columns are prorated from figures in Row \",$O175, \".\")","v":"Figs. in Row 499 start w/ last column, taken from 'Taxi' wksht, Row 431. Other columns are prorated from figures in Row 175."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs. in Row \",AG499, \" start w/ last column, taken from 'Taxi' wksht, Row \",Taxis!AG431, \". Other columns are prorated from figures in Row \",AG175, \".\")","v":"Figs. in Row  start w/ last column, taken from 'Taxi' wksht, Row . Other columns are prorated from figures in Row ."}]
[null,"Additional non-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip non-cordon miles for taxi trips shown in Row \",O99,\")\")","v":"(product of number of trips and per-trip non-cordon miles for taxi trips shown in Row 99)"},null,{"$f":"ROW()","v":501},{"$f":"P500*$L$93","v":-35.701051415586605},-58.633884087981748,-315.1188645372909,-75.423616753319209,-213.19488278896415,-231.51659719736321,-64.870661092569733,{"$f":"SUM(P501:V501)","v":-994.45955787307571},null,{"$f":"Y500*$L$93","v":-83.728247222553762},-8.6835540896740504,-60.574816486645275,-36.877842281637569,-146.70647855052374,-321.74552802716624,-104.10252771115741,{"$f":"SUM(Y501:AE501)","v":-762.41899436935807}]
[null,{"$f":"CONCATENATE(\"Non-Cordon VMT in period after tolls (sum of \",O494, \", \",O499, \" and \",O501,\")\")","v":"Non-Cordon VMT in period after tolls (sum of 494, 499 and 501)"},null,null,null,null,{"$f":"P502+Y502+AH502+AQ502+AZ502+BI502","v":5807719.8136060238},2061099.3691595066,8086914.0860618893,2628051.6151312282,9764838.5724141374,18047235.805374581,7023347.6067828732,{"$f":"SUM(G502:M502)","v":53419206.868530244},{"$f":"ROW()","v":502},{"$f":"P494+P499+P501","v":1555775.6412631688},1042989.5443332742,4193499.1255056476,1170150.2467712616,3904472.6095944718,6083103.4682780039,2123700.612070472,{"$f":"SUM(P502:V502)","v":20073691.247816298},null,{"$f":"Y494+Y499+Y501","v":1707738.5215565718},283656.74388140434,1476904.5712632018,661579.80168659252,2713942.1584424358,5825997.7304957146,2116110.7166233766,{"$f":"SUM(Y502:AE502)","v":14785930.243949298},null,{"$f":"AH494+AH499+AH501","v":2055358.5537887318},537372.08087806683,1542446.5703692634,517933.75955930748,2227853.8033070727,4590723.7188099222,2158824.3876258382,{"$f":"SUM(AH502:AN502)","v":13630512.8743382},null,{"$f":"AQ494+AQ499","v":40288.006580924506},17644.614294434668,88901.519597187173,26188.990973467829,87486.059427077809,139339.94391972333,48803.597604324328,{"$f":"SUM(AQ502:AW502)","v":448652.73239713965},null,{"$f":"AZ494+AZ499+AZ501","v":330248.33496389841},170292.14955732433,697810.16619797505,212873.08846517059,710258.86911665357,1127100.6011658222,403904.62954442936,{"$f":"SUM(AZ502:BF502)","v":3652487.8390112738},null,{"$f":"BI494+BI499","v":118310.75545272868},9144.2362150020945,87352.133128614529,39325.727675428148,120825.07252642736,280970.34270539356,172003.66331443365,{"$f":"SUM(BI502:BO502)","v":827931.93101802806}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,"9. Non-cordon speeds after tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,"Hourly traffic after tolls as % of hourly traffic before tolls",null,null,null,null,{"$f":"G502/G184","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,{"$f":"ROW()","v":505},{"$f":"G505","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,null,{"$f":"P505","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,null,{"$f":"Y505","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,null,{"$f":"AH505","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,null,{"$f":"AQ505","v":0.94289179092387843},1.1358917647978601,0.86924786259890396,0.91562280185945344,0.91764847534746885,0.91897500870483129,0.95477437032683432,0.92447642849546852,null,{"$f":"AZ505","v":0.94289179092387843},{"$f":"BA505","v":1.1358917647978601},{"$f":"BB505","v":0.86924786259890396},{"$f":"BC505","v":0.91562280185945344},{"$f":"BD505","v":0.91764847534746885},{"$f":"BE505","v":0.91897500870483129},{"$f":"BF505","v":0.95477437032683432},{"$f":"BG505","v":0.92447642849546852}]
[null,{"$f":"CONCATENATE(\"Ratio of new VMT in Row \",O494, \" to old VMT in Row \",O184, \".\")","v":"Ratio of new VMT in Row 494 to old VMT in Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G217 / 'Speed-Vol., non-Cordon'!$Y$4)^G$505,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H217 / 'Speed-Vol., non-Cordon'!$Y$4)^H$505,'Speed-Vol., non-Cordon'!$Y$6)","v":34.214154190241949},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I217 / 'Speed-Vol., non-Cordon'!$Y$4)^I$505,'Speed-Vol., non-Cordon'!$Y$6)","v":22.650563090744271},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J217 / 'Speed-Vol., non-Cordon'!$Y$4)^J$505,'Speed-Vol., non-Cordon'!$Y$6)","v":23.667821171540908},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K217 / 'Speed-Vol., non-Cordon'!$Y$4)^K$505,'Speed-Vol., non-Cordon'!$Y$6)","v":26.724079163647257},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L217 / 'Speed-Vol., non-Cordon'!$Y$4)^L$505,'Speed-Vol., non-Cordon'!$Y$6)","v":18.489998485383765},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M217 / 'Speed-Vol., non-Cordon'!$Y$4)^M$505,'Speed-Vol., non-Cordon'!$Y$6)","v":28.520601233676498},null,{"$f":"ROW()","v":507},{"$f":"G507","v":55},34.214154190241949,22.650563090744271,23.667821171540908,26.724079163647257,18.489998485383765,28.520601233676498,null,null,{"$f":"P507","v":55},34.214154190241949,22.650563090744271,23.667821171540908,26.724079163647257,18.489998485383765,28.520601233676498,null,null,{"$f":"Y507","v":55},34.214154190241949,22.650563090744271,23.667821171540908,26.724079163647257,18.489998485383765,28.520601233676498,null,null,{"$f":"$AV$198*G507","v":54.45},33.872012648339528,22.424057459836828,23.431142959825497,26.456838372010786,18.305098500529926,28.235395221339733,null,null,{"$f":"G507","v":55},34.214154190241949,22.650563090744271,23.667821171540908,26.724079163647257,18.489998485383765,28.520601233676498,null,null,{"$f":"$AV$198*Y507","v":54.45},{"$f":"$AV$198*Z507","v":33.872012648339528},{"$f":"$AV$198*AA507","v":22.424057459836828},{"$f":"$AV$198*AB507","v":23.431142959825497},{"$f":"$AV$198*AC507","v":26.456838372010786},{"$f":"$AV$198*AD507","v":18.305098500529926},{"$f":"$AV$198*AE507","v":28.235395221339733}]
[null,{"$f":"CONCATENATE(\"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row \",O212, \".\")","v":"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row 212."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":508},null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,"10. Cordon Trip Durations, after tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":511},{"$f":"($I$99)*60/P483","v":3.6188676832634634},4.5366371932125809,6.5885434901358053,7.9622737359130538,6.4939725858098294,9.5044891222041663,7.2022694813882202,{"$f":"SUMPRODUCT(P$463:V$463,P511:V511)/W$463","v":7.2160991017663072},null,{"$f":"($J$99)*60/Y483","v":3.6188676832634634},4.5366371932125809,6.5885434901358053,7.9622737359130538,6.4939725858098294,9.5044891222041663,7.2022694813882202,{"$f":"SUMPRODUCT(Y$463:AE$463,Y511:AE511)/AF$463","v":7.4262884441473096},null,{"$f":"($K$99)*60/AH483","v":4.6321506345772336},5.8068956073121036,8.4333356673738304,10.19171038196871,8.3122849098365812,12.165746076421334,9.2189049361769229,{"$f":"SUMPRODUCT(AH$463:AN$463,AH511:AN511)/AO$463","v":9.0637877958637763},null,{"$f":"($L$99)*60/AQ483","v":4.4312665509348541},5.5550659508725486,8.0676042736356806,9.749722941934353,7.9518031662977515,11.638149945556123,8.8191054874141486,{"$f":"SUMPRODUCT(AQ$463:AW$463,AQ511:AW511)/AX$463","v":8.6948690681053833},null,{"$f":"($M$99)*60/AZ483","v":8.6852824398323119},10.887929263710193,15.812504376325933,19.109456966191331,15.585534205943592,22.810773893289998,17.28544675533173,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ511:BF511)/BG$463","v":17.425237955732708},null,{"$f":"($L$99)*60/BI483","v":4.4312665509348541},5.5550659508725486,8.0676042736356806,9.749722941934353,7.9518031662977515,11.638149945556123,8.8191054874141486,{"$f":"SUMPRODUCT(BI$463:BO$463,BI511:BO511)/BP$463","v":8.7041407307907939}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512},{"$f":"60*$I$99/(1/($P$152/$P483+$Q$152/$Q483+$R$152/$R483+$S$152/$S483+$T$152/$T483+$U$152/$U483+$V$152/$V483))","v":7.4127109126154203},7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,{"$f":"SUMPRODUCT(P$463:V$463,P512:V512)/W$463","v":7.4127109126154211},null,{"$f":"60*$J$99/(1/($Y$152/$Y483+$Z$152/$Z483+$AA$152/$AA483+$AB$152/$AB483+$AC$152/$AC483+$AD$152/$AD483+$AE$152/$AE483))","v":7.4127109126154203},7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,7.4127109126154203,{"$f":"SUMPRODUCT(Y$463:AE$463,Y512:AE512)/AF$463","v":7.4127109126154185},null,{"$f":"AH511","v":4.6321506345772336},{"$f":"AI511","v":5.8068956073121036},8.4333356673738304,10.19171038196871,8.3122849098365812,12.165746076421334,9.2189049361769229,{"$f":"SUMPRODUCT(AH$463:AN$463,AH512:AN512)/AO$463","v":9.0637877958637763},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ483+$BA$152/$BA483+$BB$152/$BB483+$BC$152/$BC483+$BD$152/$BD483+$BE$152/$BE483+$BF$152/$BF483))","v":17.46072059988861},17.46072059988861,17.46072059988861,17.46072059988861,17.46072059988861,17.46072059988861,17.46072059988861,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ512:BF512)/BG$463","v":17.46072059988861}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513},{"$f":"($I$93)*60/P507","v":18.389355683366585},29.561290831898535,44.65295447769499,42.733741955145653,37.846563632433352,54.700629823451827,35.462596117746152,{"$f":"SUMPRODUCT(P$463:V$463,P513:V513)/W$463","v":41.964441950116509},null,{"$f":"($J$93)*60/Y507","v":18.389355683366585},29.561290831898535,44.65295447769499,42.733741955145653,37.846563632433352,54.700629823451827,35.462596117746152,{"$f":"SUMPRODUCT(Y$463:AE$463,Y513:AE513)/AF$463","v":42.285179709845849},null,{"$f":"($K$93)*60/AH507","v":27.584033525049882},44.341936247847805,66.979431716542493,64.100612932718491,56.769845448650031,82.050944735177737,53.193894176619231,{"$f":"SUMPRODUCT(AH$463:AN$463,AH513:AN513)/AO$463","v":60.130035292967285},null,{"$f":"($L$93)*60/AQ507","v":6.6115702479338836},10.628243551321651,16.054186475609377,15.364167280155637,13.607068045622984,19.666651888793613,12.749954345527254,{"$f":"SUMPRODUCT(AQ$463:AW$463,AQ513:AW513)/AX$463","v":14.600106753554201},null,{"$f":"($M$93)*60/AZ507","v":16.961695569840352},27.266296023395057,41.186316322636095,39.416102123627923,34.908340550428896,50.453939035131128,32.709452675902206,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ513:BF513)/BG$463","v":38.915076480160849},null,{"$f":"($L$93)*60/BI507","v":6.6115702479338836},10.628243551321651,16.054186475609377,15.364167280155637,13.607068045622984,19.666651888793613,12.749954345527254,{"$f":"SUMPRODUCT(BI$463:BO$463,BI513:BO513)/BP$463","v":14.525732536061222}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514},{"$f":"60*$I$93/(1/($P$152/$P507+$Q$152/$Q507+$R$152/$R507+$S$152/$S507+$T$152/$T507+$U$152/$U507+$V$152/$V507))","v":42.418987830500534},42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,{"$f":"SUMPRODUCT(P$463:V$463,P514:V514)/W$463","v":42.418987830500541},null,{"$f":"60*$J$93/(1/($Y$152/$Y507+$Z$152/$Z507+$AA$152/$AA507+$AB$152/$AB507+$AC$152/$AC507+$AD$152/$AD507+$AE$152/$AE507))","v":42.418987830500534},42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,42.418987830500534,{"$f":"SUMPRODUCT(Y$463:AE$463,Y514:AE514)/AF$463","v":42.418987830500534},null,{"$f":"AH513","v":27.584033525049882},44.341936247847805,66.979431716542493,64.100612932718491,56.769845448650031,82.050944735177737,53.193894176619231,{"$f":"SUMPRODUCT(AH$463:AN$463,AH514:AN514)/AO$463","v":60.130035292967285},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ507+$BA$152/$BA507+$BB$152/$BB507+$BC$152/$BC507+$BD$152/$BD507+$BE$152/$BE507+$BF$152/$BF507))","v":39.092220153998667},39.092220153998667,39.092220153998667,39.092220153998667,39.092220153998667,39.092220153998667,39.092220153998667,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ514:BF514)/BG$463","v":39.092220153998667}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515},{"$f":"SUM(P511:P514)","v":71.839922109745999},83.929626768227081,101.07319671094675,100.52771443417467,94.172234961359123,114.03681768877195,92.496564342250338,99.012239794998777,null,{"$f":"SUM(Y511:Y514)","v":71.839922109745999},83.929626768227081,101.07319671094675,100.52771443417467,94.172234961359123,114.03681768877195,92.496564342250338,99.543166897109103,null,{"$f":"SUM(AH511:AH514)","v":64.432368319254238},100.29766371031982,150.82553476783266,148.58464662937439,130.16426071697322,188.43338162319816,124.8255982255923,138.38764617766213,null,{"$f":"AQ511+AQ513","v":11.042836798868738},16.183309502194199,24.121790749245058,25.113890222089992,21.558871211920735,31.304801834349735,21.569059832941402,23.294975821659584,null,{"$f":"SUM(AZ511:AZ514)","v":82.199918763559936},94.707166040992519,113.55176145284931,115.07849984370652,107.04681551025978,129.81765368230839,106.54784018512122,112.89325518978083,null,{"$f":"BI511+BI513","v":11.042836798868738},16.183309502194199,24.121790749245058,25.113890222089992,21.558871211920735,31.304801834349735,21.569059832941402,23.229873266852017]
[null,"Ratio, duration with new tolls to duration w/o tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516},{"$f":"P515/P234","v":0.88292216683090241},0.94930175807170991,0.79110243337848241,0.83997741785734703,0.84805148483855586,0.8325371831760966,0.87119318157658387,0.82964986667565499,null,{"$f":"Y515/Y234","v":0.88292216683090241},0.94930175807170991,0.79110243337848241,0.83997741785734703,0.84805148483855586,0.8325371831760966,0.87119318157658387,0.83644448907504487,null,{"$f":"AH515/AH234","v":0.99679846187698584},1.1707968612690673,0.75076852370131786,0.84118298610905329,0.85787843354517423,0.82826687857475967,0.91232347708357231,0.82657087141974739,null,{"$f":"AQ515/AQ234","v":0.99111588034194953},1.1648706128037416,0.71813034299288359,0.81811883128420537,0.84068826808128949,0.80422365387150985,0.88193636381338292,0.82920370063116711,null,{"$f":"AZ515/AZ234","v":0.86519919459875627},0.92961543534715518,0.76904432231712339,0.82069635779042638,0.83028302675182564,0.81335635100018111,0.84968298832975064,0.81618272826132254,null,{"$f":"BI515/BI234","v":0.99111588034194953},1.1648706128037416,0.71813034299288359,0.81811883128420537,0.84068826808128949,0.80422365387150985,0.88193636381338292,0.82994098064727462]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":517}]
[null,"F. Take the calculated reduction in trip volumes due to the new tolls through a series of iterations reflecting the \"rebound effect\" by which lighter traffic stimulates greater use of roads due to improvement in travel times, which then dampens travel due to increase in traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":521},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Discussion: New tolls will alter traffic volumes in each time period, reducing them in most cases. Resulting gains in traffic speeds \"re-attract\" some trips that tolls discouraged. They will also induce some new trips made by time-sensitive drivers for whom reduced duration more than offsets higher tolls. We estimate this \"rebound effect\" by applying drivers' \"time elasticities\" (sensitivity to trip durations; shown in Elasticities worksheet) to the calculated shortening of trip durations for each trip type during each period.  However, just as reduced traffic in Round #1 ushers in new trips attracted by time savings, the subsequent changes in traffic volumes due to new trips will evoke their own rebound effects. These impacts are estimated in later sections of this worksheet. These sections repeat process until changes (\"perturbations\") from each round to next shrink to minimal levels, signaling that equilibrium has been reached. The traffic levels, speeds, durations, etc. in that round are, effectively, the final results.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":523}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":524}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":525}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":527}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,"Traffic Rebound #1 (Traffic Round 2)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Traffic-Rebound Factors from tolls",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":531}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":532}]
[null,"For cordon entries (are shown and sourced at right for each trip type and time bin; also see \"Discussion\" text several rows above; factors will apply to future traffic iterations)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533},{"$f":"P516^Elasticities!$G$67","v":1.1326026659737498},{"$f":"Q516^Elasticities!$G$67","v":1.0534058232771759},{"$f":"R516^Elasticities!$G$67","v":1.26405880933699},{"$f":"S516^Elasticities!$G$67","v":1.1905081955070245},{"$f":"T516^Elasticities!$G$67","v":1.1791736915481856},{"$f":"U516^Elasticities!$G$67","v":1.2011475525754169},{"$f":"V516^Elasticities!$G$67","v":1.1478510405583255},null,null,{"$f":"Y516^Elasticities!$H$67","v":1.1326026659737498},{"$f":"Z516^Elasticities!$H$67","v":1.0534058232771759},{"$f":"AA516^Elasticities!$H$67","v":1.26405880933699},{"$f":"AB516^Elasticities!$H$67","v":1.1905081955070245},{"$f":"AC516^Elasticities!$H$67","v":1.1791736915481856},{"$f":"AD516^Elasticities!$H$67","v":1.2011475525754169},{"$f":"AE516^Elasticities!$H$67","v":1.1478510405583255},null,null,{"$f":"AH516^Elasticities!$I$67","v":1.0032118208900378},{"$f":"AI516^Elasticities!$I$67","v":0.85411913294340858},{"$f":"AJ516^Elasticities!$I$67","v":1.3319684675510386},{"$f":"AK516^Elasticities!$I$67","v":1.188801980679097},{"$f":"AL516^Elasticities!$I$67","v":1.1656663239190077},{"$f":"AM516^Elasticities!$I$67","v":1.2073403221444157},{"$f":"AN516^Elasticities!$I$67","v":1.0961024517276521},null,null,{"$f":"AQ516^Elasticities!$G$69","v":1.0053686510858755},{"$f":"AR516^Elasticities!$G$69","v":0.91250107875651065},{"$f":"AS516^Elasticities!$G$69","v":1.2197702412006244},{"$f":"AT516^Elasticities!$G$69","v":1.1280027707899563},{"$f":"AU516^Elasticities!$G$69","v":1.1097342958118257},{"$f":"AV516^Elasticities!$G$69","v":1.1396562971477397},{"$f":"AW516^Elasticities!$G$69","v":1.0782951458967653},null,null,{"$f":"AZ516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0494489028214731},{"$f":"BA516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.024626438834102},{"$f":"BB516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0914810749405157},{"$f":"BC516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0680850377848443},{"$f":"BD516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0639583159468087},{"$f":"BE516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.071288343067522},{"$f":"BF516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0557984633710726},null,null,{"$f":"BI516^Elasticities!$G$69","v":1.0053686510858755},{"$f":"BJ516^Elasticities!$G$69","v":0.91250107875651065},{"$f":"BK516^Elasticities!$G$69","v":1.2197702412006244},{"$f":"BL516^Elasticities!$G$69","v":1.1280027707899563},{"$f":"BM516^Elasticities!$G$69","v":1.1097342958118257},{"$f":"BN516^Elasticities!$G$69","v":1.1396562971477397},{"$f":"BO516^Elasticities!$G$69","v":1.0782951458967653}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto through-trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"For intra-cordon travel (are shown + sourced at right for each trip type and time bin; see \"Discussion\" text several rows above; factors apply to next traffic iterations)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535},{"$f":"(P201/P483)^Elasticities!$G$67","v":1.0223379206429126},{"$f":"(Q201/Q483)^Elasticities!$G$67","v":0.8710102547371481},{"$f":"(R201/R483)^Elasticities!$G$67","v":1.5734819181531778},{"$f":"(S201/S483)^Elasticities!$G$67","v":1.3039912830222085},{"$f":"(T201/T483)^Elasticities!$G$67","v":1.2518925686521682},{"$f":"(U201/U483)^Elasticities!$G$67","v":1.3368888088296822},{"$f":"(V201/V483)^Elasticities!$G$67","v":1.2193475846375232},null,null,{"$f":"(Y201/Y483)^Elasticities!$H$67","v":1.0223379206429126},{"$f":"(Z201/Z483)^Elasticities!$H$67","v":0.8710102547371481},{"$f":"(AA201/AA483)^Elasticities!$H$67","v":1.5734819181531778},{"$f":"(AB201/AB483)^Elasticities!$H$67","v":1.3039912830222085},{"$f":"(AC201/AC483)^Elasticities!$H$67","v":1.2518925686521682},{"$f":"(AD201/AD483)^Elasticities!$H$67","v":1.3368888088296822},{"$f":"(AE201/AE483)^Elasticities!$H$67","v":1.2193475846375232},null,null,{"$f":"(AH201/AH483)^Elasticities!$I$67","v":1.0223379206429126},{"$f":"(AI201/AI483)^Elasticities!$I$67","v":0.8710102547371481},{"$f":"(AJ201/AJ483)^Elasticities!$I$67","v":1.5734819181531778},{"$f":"(AK201/AK483)^Elasticities!$I$67","v":1.3039912830222085},{"$f":"(AL201/AL483)^Elasticities!$I$67","v":1.2518925686521682},{"$f":"(AM201/AM483)^Elasticities!$I$67","v":1.3368888088296822},{"$f":"(AN201/AN483)^Elasticities!$I$67","v":1.2193475846375232},null,null,{"$f":"(AQ201/AQ483)^Elasticities!$G$69","v":1.0133434904102971},{"$f":"(AR201/AR483)^Elasticities!$G$69","v":0.92047916113072337},{"$f":"(AS201/AS483)^Elasticities!$G$69","v":1.3125536194777583},{"$f":"(AT201/AT483)^Elasticities!$G$69","v":1.1726402931770585},{"$f":"(AU201/AU483)^Elasticities!$G$69","v":1.1443008929945697},{"$f":"(AV201/AV483)^Elasticities!$G$69","v":1.1903020256545411},{"$f":"(AW201/AW483)^Elasticities!$G$69","v":1.1263581696463061},null,null,{"$f":"(AZ201/AZ483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0073912089835566},{"$f":"(BA201/BA483)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.95500964135516342},{"$f":"(BB201/BB483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.1631094532832391},{"$f":"(BC201/BC483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0925086798451495},{"$f":"(BD201/BD483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0777607262794482},{"$f":"(BE201/BE483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.1016198747653161},{"$f":"(BF201/BF483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0683392248170209},null,null,{"$f":"(BI201/BI483)^Elasticities!$G$69","v":1.0133434904102971},{"$f":"(BJ201/BJ483)^Elasticities!$G$69","v":0.92047916113072337},{"$f":"(BK201/BK483)^Elasticities!$G$69","v":1.3125536194777583},{"$f":"(BL201/BL483)^Elasticities!$G$69","v":1.1726402931770585},{"$f":"(BM201/BM483)^Elasticities!$G$69","v":1.1443008929945697},{"$f":"(BN201/BN483)^Elasticities!$G$69","v":1.1903020256545411},{"$f":"(BO201/BO483)^Elasticities!$G$69","v":1.1263581696463061}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"For non-cordon travel (ditto)",null,null,null,null,{"$f":"($I$85*$I$93*P537+$J$85*$J$93*Y537+$K$85*$K$93*AH537+$L$85*$L$93*AQ537+$M$85*$M$93*AZ537+$N$85*$N$93*BI537)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.86079738353139856,1.2817841659474922,1.1595426614302415,1.1432462589407566,1.1760179195306935,1.0700282053096919,null,{"$f":"ROW()","v":537},{"$f":"(P217/P507)^Elasticities!$G$67","v":1},{"$f":"(Q217/Q507)^Elasticities!$G$67","v":0.85190711900702121},{"$f":"(R217/R507)^Elasticities!$G$67","v":1.3015596697318346},{"$f":"(S217/S507)^Elasticities!$G$67","v":1.170487397481363},{"$f":"(T217/T507)^Elasticities!$G$67","v":1.1530410101232245},{"$f":"(U217/U507)^Elasticities!$G$67","v":1.1881320851316139},{"$f":"(V217/V507)^Elasticities!$G$67","v":1.0747431363075377},null,null,{"$f":"(Y217/Y507)^Elasticities!$H$67","v":1},{"$f":"(Z217/Z507)^Elasticities!$H$67","v":0.85190711900702121},{"$f":"(AA217/AA507)^Elasticities!$H$67","v":1.3015596697318346},{"$f":"(AB217/AB507)^Elasticities!$H$67","v":1.170487397481363},{"$f":"(AC217/AC507)^Elasticities!$H$67","v":1.1530410101232245},{"$f":"(AD217/AD507)^Elasticities!$H$67","v":1.1881320851316139},{"$f":"(AE217/AE507)^Elasticities!$H$67","v":1.0747431363075377},null,null,{"$f":"(AH217/AH507)^Elasticities!$H$67","v":1},{"$f":"(AI217/AI507)^Elasticities!$H$67","v":0.85190711900702121},{"$f":"(AJ217/AJ507)^Elasticities!$H$67","v":1.3015596697318346},{"$f":"(AK217/AK507)^Elasticities!$H$67","v":1.170487397481363},{"$f":"(AL217/AL507)^Elasticities!$H$67","v":1.1530410101232245},{"$f":"(AM217/AM507)^Elasticities!$H$67","v":1.1881320851316139},{"$f":"(AN217/AN507)^Elasticities!$H$67","v":1.0747431363075377},null,null,{"$f":"(AQ217/AQ507)^Elasticities!$G$69","v":1},{"$f":"(AR217/AR507)^Elasticities!$G$69","v":0.90831262043181205},{"$f":"(AS217/AS507)^Elasticities!$G$69","v":1.1713277972504976},{"$f":"(AT217/AT507)^Elasticities!$G$69","v":1.0990565661544986},{"$f":"(AU217/AU507)^Elasticities!$G$69","v":1.0891980432422448},{"$f":"(AV217/AV507)^Elasticities!$G$69","v":1.1089675402116934},{"$f":"(AW217/AW507)^Elasticities!$G$69","v":1.0441978824071185},null,null,{"$f":"(AZ217/AZ507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA217/BA507)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.94797616025992071},{"$f":"(BB217/BB507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0918291733579752},{"$f":"(BC217/BC507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0538745430843364},{"$f":"(BD217/BD507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.048612228626268},{"$f":"(BE217/BE507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0591437505341683},{"$f":"(BF217/BF507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0243182097156882},null,null,{"$f":"(BI217/BI507)^Elasticities!$G$69","v":1},{"$f":"(BJ217/BJ507)^Elasticities!$G$69","v":0.90831262043181205},{"$f":"(BK217/BK507)^Elasticities!$G$69","v":1.1713277972504976},{"$f":"(BL217/BL507)^Elasticities!$G$69","v":1.0990565661544986},{"$f":"(BM217/BM507)^Elasticities!$G$69","v":1.0891980432422448},{"$f":"(BN217/BN507)^Elasticities!$G$69","v":1.1089675402116934},{"$f":"(BO217/BO507)^Elasticities!$G$69","v":1.0441978824071185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":538},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,"Period entries after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P542+Y542+AH542+AQ542+AZ542+BI542","v":52419.996557031132},37253.208042096507,70600.638014107637,27600.891699843396,91812.456912356647,149081.07846438762,68044.891874129826,{"$f":"SUM(G542:M542)","v":496813.1615639528},{"$f":"ROW()","v":542},{"$f":"P448","v":6274.2422827531827},23120.450142771348,37278.975680807445,11961.992333580056,33750.198899841402,34696.782481961098,12215.868822681399,{"$f":"SUM(P542:V542)","v":159298.51064439592},null,{"$f":"Y448","v":16107.681208315269},3544.0900915538273,8456.3560353966386,6273.3151003271896,24901.70532878791,51456.383028834869,21185.954370616306,{"$f":"SUM(Y542:AE542)","v":131925.485163832},null,{"$f":"AH448","v":15054.688483044825},5423.7310327691412,6211.9969928197479,2434.1442943749366,10772.42258684813,21181.219532851839,14214.335728429651,{"$f":"SUM(AH542:AN542)","v":75292.538651138268},null,{"$f":"AQ448","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ542:AW542)","v":32900},null,{"$f":"AZ448","v":3654.7681083573075},3223.7983855307375,5951.1447698467036,2227.4308590503065,7420.480998777567,11641.164301343575,4675.1718368687743,{"$f":"SUM(AZ542:BF542)","v":38793.959259774972},null,{"$f":"BI448","v":8374.2704496730221},647.2472162576812,6182.9576218633574,2783.5531767507705,8552.2388101218403,19887.639370981735,12174.761199163218,{"$f":"SUM(BI542:BO542)","v":58602.667844811629}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O448,\".\")","v":"Above row repeats figures in Row 448."},null,null,null,null,"Rows above and below are sums of respective figures in column blocks to right. See notes there.",null,null,null,null,null,null,null,{"$f":"ROW()","v":543}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P544+Y544+AH544+AQ544+AZ544+BI544","v":55677.795906692954},37795.574338567603,88075.617258210084,32288.219392053772,106223.02866093183,175836.60376977004,75843.713473413474,{"$f":"SUM(G544:M544)","v":571740.55279963976},{"$f":"ROW()","v":544},{"$f":"P542*P533","v":7106.2235364114804},24355.216817184952,47122.817612384068,14240.849907719254,39797.346627211497,41675.955360449174,14021.997739438852,{"$f":"SUM(P544:V544)","v":188320.40760079928},null,{"$f":"Y542*Y533","v":18243.602679193147},3733.365140661741,10689.331341433144,7468.4330399374903,29363.435798391965,61806.708539468222,24318.319769533133,{"$f":"SUM(Y544:AE544)","v":155623.19630861882},null,{"$f":"AH542*AH533","v":15103.041446007681},4632.5124470270366,8274.1841149577795,2893.7155584116476,12557.050236513347,25572.940414204928,15580.368241611701,{"$f":"SUM(AH544:AN544)","v":84613.812458734115},null,{"$f":"AQ542*AQ533","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ544:AW544)","v":36892.383966688518},null,{"$f":"AZ542*AZ533","v":3835.4923813824871},3303.189059285487,6495.5618905189085,2379.0855732518748,7895.0824669746735,12471.043615763145,4936.0392413617674,{"$f":"SUM(AZ544:BF544)","v":41315.494228538344},null,{"$f":"BI542*BI533","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI544:BO544)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is product of figures in Rows \",O533,\" and \",O542,\".\")","v":"Each figure in above row is product of figures in Rows 533 and 542."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":545},{"$f":"CONCATENATE(\"Figures in Row \",O544, \" are product of figures in Row \",O542, \" and rebound factors in Row \",O533, \".\")","v":"Figures in Row 544 are product of figures in Row 542 and rebound factors in Row 533."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O544, \" figs. apply to Row \",$O542, \" the fractional chng from Row \",$O533, \" factored by % of taxi-trip chngs not absorbed by cruising, from Row \",Taxis!$O$185, \" of 'Taxis'.\")","v":"Row 544 figs. apply to Row 542 the fractional chng from Row 533 factored by % of taxi-trip chngs not absorbed by cruising, from Row 185 of 'Taxis'."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",AG544, \" figs. apply to Row \",AG542, \" the fractional chng from Row \",AG533, \" factored by % of taxi-trip chngs not absorbed by cruising, from Row \",Taxis!$O$185, \" of 'Taxis'.\")","v":"Row  figs. apply to Row  the fractional chng from Row  factored by % of taxi-trip chngs not absorbed by cruising, from Row 185 of 'Taxis'."}]
[null,"Cordon VMT from inbound cordon-crossing trips (see notes to right)",null,null,null,null,84442.780022812789,55089.250852020661,128231.14989613497,46863.008266885459,155142.67610911021,259148.09914474099,113142.58651908103,{"$f":"SUM(G546:M546)","v":842059.55081078608},{"$f":"ROW()","v":546},{"$f":"P544*$I$99","v":8882.7794205143509},30444.021021481189,58903.522015480085,17801.062384649067,49746.683284014369,52094.944200561469,17527.497174298565,{"$f":"SUM(P546:V546)","v":235400.50950099909},null,{"$f":"Y544*$J$99","v":22804.503348991435},4666.7064258271766,13361.66417679143,9335.5412999218624,36704.294747989959,77258.385674335281,30397.899711916416,{"$f":"SUM(Y546:AE546)","v":194528.99538577357},null,{"$f":"AH544*$K$99","v":24164.866313612292},7412.0199152432588,13238.694583932447,4629.9448934586362,20091.280378421357,40916.704662727891,24928.589186578723,{"$f":"SUM(AH546:AN546)","v":135382.09993397462},null,{"$f":"AQ544*$L$99","v":4455.3103168231337},1771.0156370266441,11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ546:AW546)","v":55338.575950032769},null,{"$f":"AZ544*$M$99","v":11506.477144147462},9909.5671778564611,19486.685671556726,7137.2567197556245,23685.247400924021,37413.130847289431,14808.117724085303,{"$f":"SUM(AZ546:BF546)","v":123946.48268561503},null,{"$f":"BI544*$L$99","v":12628.843478724113},885.92067458592396,11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI546:BO546)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":547},{"$f":"CONCATENATE(\"Figures in Row \",O546, \" are product of trips in Row \",O544, \" and CBD miles for that trip type in Row \",O99, \".\")","v":"Figures in Row 546 are product of trips in Row 544 and CBD miles for that trip type in Row 99."}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P549+Y549+AH549+AQ549+AZ549+BI549","v":57570.564368237065},11832.812248766963,66973.046613415965,22314.232266987921,87167.778543600391,179134.40066484717,71820.326858097294,{"$f":"SUM(G549:M549)","v":496813.16156395274},{"$f":"ROW()","v":549},{"$f":"P$152*$W542","v":18583.989680380429},3636.0950598700874,20246.633265430082,6669.6872391672823,28092.38897945415,59535.608536040483,22534.107884053406,159298.51064439589,null,{"$f":"Y$152*$AF542","v":15390.613791341719},3011.2874435216795,16767.557371824118,5523.6029599948906,23265.139332022722,49305.319986162904,18661.964278963962,{"$f":"SUM(Y549:AE549)","v":131925.485163832},null,{"$f":"AH$152*$AO542","v":8783.7341080101487},1718.6025577202261,9569.5836171111441,3152.4317598111379,13277.884862087834,28139.541849361052,10650.759897036733,{"$f":"SUM(AH549:AN549)","v":75292.538651138282},null,{"$f":"AQ542","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AQ549:AW549)","v":32900},null,{"$f":"AZ$152*$BG542","v":3483.6103139442189},1525.6887981835134,7687.1078238135187,2264.5011955037025,7564.7162719340358,12048.401173886485,4219.933682509497,{"$f":"SUM(AZ549:BF549)","v":38793.959259774965},null,{"$f":"BI542","v":8374.2704496730221},647.2472162576812,6182.9576218633574,2783.5531767507705,8552.2388101218403,19887.639370981735,12174.761199163218,{"$f":"SUM(BI549:BO549)","v":58602.667844811629}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right is product of period's % of total exits in Row \",$O$152,\" times 24-h entries for trip type in Row \",O542,\"; except taxicabs, where each fig. is corresp. # of entries for period.\")","v":"Each fig. in column blocks to right is product of period's % of total exits in Row 152 times 24-h entries for trip type in Row 542; except taxicabs, where each fig. is corresp. # of entries for period."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551},{"$f":"P549*$W544/$W542","v":21969.725249163275},4298.5392705809136,23935.278576465651,7884.8083034103329,33210.418111822575,70382.139926574353,26639.498162782176,{"$f":"SUM(P551:V551)","v":188320.40760079928},null,{"$f":"Y549*$AF544/$AF542","v":18155.222308909473},3552.2035517465683,19779.505599322962,6515.8050903254634,27444.245066967127,58162.010787658641,22014.203903688584,{"$f":"SUM(Y551:AE551)","v":155623.19630861882},null,{"$f":"AH549*$AO544/$AO542","v":9871.1671012479655},1931.366867357468,10754.305379955144,3542.7052200953276,14921.697152157054,31623.238628580104,11969.332109341065,{"$f":"SUM(AH551:AN551)","v":84613.81245873413},null,{"$f":"AQ549*$AX544/$AX542","v":3312.8531282860336},1450.9036466052171,7310.3065229931553,2153.5014520720097,7193.9142750150377,11457.82103124009,4013.0839104769748,{"$f":"SUM(AQ551:AW551)","v":36892.383966688518},null,{"$f":"AZ549*$BG544/$BG542","v":3710.0384845089898},1624.8557233820786,8186.7554894875566,2411.6895480261455,8056.4087150983332,12831.524769862046,4494.2214981731931,{"$f":"SUM(AZ551:BF551)","v":41315.494228538344},null,{"$f":"BI549*$AX544/$AX542","v":9390.4802696118677},725.79005542701066,6933.2536971290665,3121.3347291302434,9590.0449227304034,22300.985649400911,13652.156986695154,{"$f":"SUM(BI551:BO551)","v":65714.046310124657}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right prorates pre-toll # of exits, in Row \",O549,\", by ratio of (i) sum of post-tolls entries for trip type, in Row \",O544,\" , to (ii) sum of pre-tolls entries for trip type, in Row \",O542,\".\")","v":"Each fig. in column blocks to right prorates pre-toll # of exits, in Row 549, by ratio of (i) sum of post-tolls entries for trip type, in Row 544 , to (ii) sum of pre-tolls entries for trip type, in Row 542."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P553+Y553+AH553+AQ553+AZ553+BI553","v":91371.417335749808},20226.963100613797,112434.64054376418,36838.354442253243,142744.22465969704,287750.60202382668,113324.11946187237,{"$f":"SUM(G553:M553)","v":804690.32156777708},{"$f":"ROW()","v":553},{"$f":"P551*$I$99","v":27462.156561454096},5373.174088226142,29919.098220582062,9856.0103792629161,41513.022639778217,87977.674908217945,33299.372703477718,{"$f":"SUM(P553:V553)","v":235400.50950099909},null,{"$f":"Y551*$J$99","v":22694.027886136842},4440.2544396832109,24724.381999153702,8144.7563629068291,34305.306333708912,72702.513484573297,27517.754879610729,{"$f":"SUM(Y553:AE553)","v":194528.99538577354},null,{"$f":"AH551*$K$99","v":15793.867361996745},3090.1869877719491,17206.888607928231,5668.3283521525245,23874.715443451289,50597.181805728171,19150.931374945703,135382.09993397462,null,{"$f":"AQ551*$L$99*Taxis!$L$228","v":3726.9597693217879},{"$f":"AR551*$L$99*Taxis!$L$228","v":1632.2666024308694},{"$f":"AS551*$L$99*Taxis!$L$228","v":8224.0948383672985},{"$f":"AT551*$L$99*Taxis!$L$228","v":2422.689133581011},{"$f":"AU551*$L$99*Taxis!$L$228","v":8093.153559391917},{"$f":"AV551*$L$99*Taxis!$L$228","v":12890.048660145101},{"$f":"AW551*$L$99*Taxis!$L$228","v":4514.7193992865969},{"$f":"SUM(AQ553:AW553)","v":41503.931962524584},null,{"$f":"AZ551*$M$99","v":11130.115453526969},4874.5671701462361,24560.266468462669,7235.0686440784366,24169.226145295001,38494.57430958614,13482.66449451958,{"$f":"SUM(AZ553:BF553)","v":123946.48268561502},null,{"$f":"BI551*$L$99*Taxis!$L$228","v":10564.290303313352},{"$f":"BJ551*$L$99*Taxis!$L$228","v":816.5138123553869},{"$f":"BK551*$L$99*Taxis!$L$228","v":7799.9104092701991},{"$f":"BL551*$L$99*Taxis!$L$228","v":3511.5015702715236},{"$f":"BM551*$L$99*Taxis!$L$228","v":10788.800538071704},{"$f":"BN551*$L$99*Taxis!$L$228","v":25088.608855576022},{"$f":"BO551*$L$99*Taxis!$L$228","v":15358.676610032049},{"$f":"SUM(BI553:BO553)","v":73928.302098890243}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O553, \" are product of trips in Row \",O551, \" and CBD miles for that trip type in Row \",O99, \" (see column blocks to right).\")","v":"Figures in Row 553 are product of trips in Row 551 and CBD miles for that trip type in Row 99 (see column blocks to right)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":554},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":556},{"$f":"CONCATENATE(\"Figs. in Row \",O557, \" repeat figs. for same column in Row \",$O$160, \"; figs. in Row \",O558, \" multiply those figs. by intra-cordon rebound factor in Row \",O535,\".\")","v":"Figs. in Row 557 repeat figs. for same column in Row 160; figs. in Row 558 multiply those figs. by intra-cordon rebound factor in Row 535."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O558, \" figures are set equal to Row \",$O557, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 558 figures are set equal to Row 557 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",AG558, \" figures are set equal to \",AG557, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row  figures are set equal to  figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before new tolls ",null,null,null,null,{"$f":"P557+Y557+AH557+AQ557+AZ557+BI557","v":250223.85041466122},30508.773997698263,195816.37286139186,71242.469157939282,261322.69873296341,446550.37194706791,223805.18120316305,{"$f":"SUM(G557:M557)","v":1479469.7183148849},{"$f":"ROW()","v":557},{"$f":"P160","v":8321.0417701414954},{"$f":"Q160","v":2505.0148011533361},13108.772220322071,4040.0958234936711,14966.645797200195,27580.148422942326,10085.424021889759,{"$f":"SUM(P557:V557)","v":80607.142857142855},null,{"$f":"Y160","v":5850.9053120135368},1761.3905580107862,9217.3777198277021,2840.776283511057,10523.733664225392,19392.864664248769,7091.5232267341826,{"$f":"SUM(Y557:AE557)","v":56678.571428571428},null,{"$f":"AH160","v":0},0,0,0,0,0,0,{"$f":"SUM(AH557:AN557)","v":0},null,{"$f":"AQ160","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ557:AW557)","v":553825.51435896545},null,{"$f":"AZ160","v":5041.7328495808142},1517.7925746004476,7942.6265780836675,2447.9006825627225,9068.3152240085128,16710.857142818826,6110.7749483450089,{"$f":"SUM(AZ557:BF557)","v":48840.000000000007},null,{"$f":"BI160","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI557:BO557)","v":739518.48967020516}]
[null,"After new tolls ",null,"(indicates rebound effect for intra-cordon trips, which are unaffected by toll)",null,null,250577.68674506847,29890.165424951869,209915.53363282862,73560.646358595288,268448.69466937031,464073.20958322717,227990.50871659606,{"$f":"SUM(G558:M558)","v":1524456.4451306376},{"$f":"ROW()","v":558},{"$f":"P557*P535","v":8506.916540869277},2181.8935800728937,20626.416057865463,5268.2497364101782,18736.632651164131,36871.591772493201,12297.637421136533,{"$f":"SUM(P558:V558)","v":104489.33776001168},null,{"$f":"Y557*Y535","v":5981.6023705624912},1534.1892386245822,14503.377174936857,3704.3475107146442,13174.583968718422,25926.103740782772,8647.0317179192207,{"$f":"SUM(Y558:AE558)","v":73471.235722258993},null,{"$f":"AH557*AH535","v":0},0,0,0,0,0,0,{"$f":"SUM(AH558:AN558)","v":0},null,{"$f":"AQ557","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ558:AW558)","v":553825.51435896545},null,{"$f":"AZ557*AZ535","v":5078.9973507113282},1449.5065423207036,9238.144056867819,2674.3527430986405,9773.4740019583915,18409.012352893162,6528.3805713461779,{"$f":"SUM(AZ558:BF558)","v":53151.867619196222},null,{"$f":"BI557","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI558:BO558)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,353.83633040724999,-618.60857274639034,14099.160771436724,2318.1772006560191,7125.9959364068709,17522.837636159253,4185.3275134329806,{"$f":"W559+AF559+AO559+AX559+BG559+BP559","v":44986.7268157527},{"$f":"ROW()","v":559},{"$f":"P558-P557","v":185.87477072778165},-323.12122108044241,7517.6438375433918,1228.1539129165071,3769.9868539639356,9291.4433495508747,2212.2133992467734,23882.194902868825,null,{"$f":"Y558-Y557","v":130.69705854895437},-227.20131938620398,5285.999455109155,863.57122720358711,2650.8503044930294,6533.2390765340024,1555.5084911850381,16792.664293687565,null,{"$f":"AH558-AH557","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ558-AQ557","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ558-AZ557","v":37.264501130513963},-68.286032279743949,1295.5174787841515,226.45206053591801,705.15877794987864,1698.1552100743356,417.60562300116908,4311.8676191962149,null,{"$f":"BI558-BI557","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560},{"$f":"CONCATENATE(\"Figs. in Row \",O561, \" repeat figs. for same column in Row \",O463, \".\")","v":"Figs. in Row 561 repeat figs. for same column in Row 463."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O562, \" figures are set equal to Row \",$O561, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 562 figures are set equal to Row 561 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O562, \" figures are set equal to Row \",$O561, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 562 figures are set equal to Row 561 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Total Cordon VMT with new tolls, before rebound effect",null,null,null,null,{"$f":"P561+Y561+AH561+AQ561+AZ561+BI561","v":402418.16166371363},102279.19851581054,398098.55915023014,145059.68347995123,526224.3035446906,935475.17448120797,415109.23591060087,2924664.3167462056,{"$f":"ROW()","v":561},{"$f":"P463","v":40508.698770124211},{"$f":"Q463","v":35265.8342363501},82066.997510749381,26644.788474734149,91496.026624776277,147991.91780000209,54879.15605139648,{"$f":"SUM(P561:V561)","v":478853.41946813266},null,{"$f":"Y463","v":45673.312536623831},{"$f":"Z463","v":9679.4612973988442},39558.255310796143,17310.754636666214,70420.254832855018,146401.95039461824,57448.295329193141,{"$f":"SUM(Y561:AE561)","v":386492.28433815145},null,{"$f":"AH463","v":38129.445116601579},{"$f":"AI463","v":14718.62246621403},21247.28678787539,8904.5126289391283,37808.968808981866,78064.73629992464,42062.551575105877,{"$f":"SUM(AH561:AN561)","v":240936.12368364251},null,{"$f":"AQ463*(1+$AX$364)","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ561:AW561)","v":632517.43270702334},null,{"$f":"AZ463","v":26675.203515213965},{"$f":"BA463","v":13467.562636139874},52695.960488971097,16336.675686126433,55381.934166353894,90076.017894749413,32688.523391770243,{"$f":"SUM(AZ561:BF561)","v":287321.87777932495},null,{"$f":"BI463*(1+$AX$364)","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI561:BO561)","v":898543.17876993015}]
[null,"Total Cordon VMT with new tolls, after rebound effect",null,null,null,null,415437.81147767336,104523.80446696148,448299.19808539556,157317.87107989468,566891.58610714762,1011602.3698511026,436616.58652296988,3140689.2275911449,{"$f":"ROW()","v":562},{"$f":"P546+P553+P558","v":44851.852522837726},37999.088689780227,109449.03629392761,32925.32250032216,109996.33857495672,176944.21088127262,63124.507298912817,{"$f":"SUM(P562:V562)","v":575290.35676200991},null,{"$f":"Y546+Y553+Y558","v":51480.133605690768},10641.150104134969,52589.423350881989,21184.645173543337,84184.185050417291,175887.00289969135,66562.686309446362,{"$f":"SUM(Y562:AE562)","v":462529.22649380605},null,{"$f":"AH546+AH553+AH558","v":39958.733675609037},10502.206903015209,30445.583191860678,10298.273245611161,43965.995821872646,91513.886468456069,44079.520561524427,{"$f":"SUM(AH562:AN562)","v":270764.19986794924},null,{"$f":"AQ561","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ562:AW562)","v":632517.43270702334},null,{"$f":"AZ546+AZ553+AZ558","v":27715.589948385761},16233.640890323401,53285.096196887214,17046.678106932701,57627.947548177413,94316.717509768729,34819.162789951064,{"$f":"SUM(AZ562:BF562)","v":301044.83299042628},null,{"$f":"BI561","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI562:BO562)","v":898543.17876993015}]
[null,"Figures in two preceding rows are sums of respective VMT's from inbound and outbound cordon-crossing trips and from intra-cordon trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,"Hourly Cordon VMT with new tolls, after rebound effect",null,null,null,null,{"$f":"G562/G$135","v":69239.635246278893},104523.80446696148,149433.0660284652,157317.87107989468,141722.89652678691,168600.39497518376,145538.86217432329,null,{"$f":"ROW()","v":564},{"$f":"CONCATENATE(\"Figures in Row \",O562,\" are sums of figures in Rows \",O546,\", \",O553,\" and \",O558, \" -- inbound, oubound and intra-cordon VMT.\")","v":"Figures in Row 562 are sums of figures in Rows 546, 553 and 558 -- inbound, oubound and intra-cordon VMT."}]
[null," ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,"Speeds (employ respective speed-volume relationships noted in earlier sections)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G564*$G$481/V_sub_k)^KSE)","v":20.556027555161414},16.119512135955937,8.716293106214998,7.6600863398563748,9.8522464121182853,6.3407016493998327,9.2778084269120313,null,{"$f":"ROW()","v":567},{"$f":"G567","v":20.556027555161414},16.119512135955937,8.716293106214998,7.6600863398563748,9.8522464121182853,6.3407016493998327,9.2778084269120313,null,null,{"$f":"G567","v":20.556027555161414},16.119512135955937,8.716293106214998,7.6600863398563748,9.8522464121182853,6.3407016493998327,9.2778084269120313,null,null,{"$f":"P567","v":20.556027555161414},16.119512135955937,8.716293106214998,7.6600863398563748,9.8522464121182853,6.3407016493998327,9.2778084269120313,null,null,{"$f":"G567*$AU$198","v":20.144907004058187},15.797121893236817,8.5419672440906975,7.5068846130592473,9.6552014838759188,6.213887616411836,9.0922522583737901,null,null,{"$f":"G567","v":20.556027555161414},16.119512135955937,8.716293106214998,7.6600863398563748,9.8522464121182853,6.3407016493998327,9.2778084269120313,null,null,{"$f":"Y567*$AU$198","v":20.144907004058187},{"$f":"Z567*$AU$198","v":15.797121893236817},{"$f":"AA567*$AU$198","v":8.5419672440906975},{"$f":"AB567*$AU$198","v":7.5068846130592473},{"$f":"AC567*$AU$198","v":9.6552014838759188},{"$f":"AD567*$AU$198","v":6.213887616411836},{"$f":"AE567*$AU$198","v":9.0922522583737901}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G507 / 'Speed-Vol., non-Cordon'!$Y$4)^G537,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H507 / 'Speed-Vol., non-Cordon'!$Y$4)^H537,'Speed-Vol., non-Cordon'!$Y$6)","v":41.228644600026946},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I507 / 'Speed-Vol., non-Cordon'!$Y$4)^I537,'Speed-Vol., non-Cordon'!$Y$6)","v":13.82456320476081},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J507 / 'Speed-Vol., non-Cordon'!$Y$4)^J537,'Speed-Vol., non-Cordon'!$Y$6)","v":18.021711292912293},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K507 / 'Speed-Vol., non-Cordon'!$Y$4)^K537,'Speed-Vol., non-Cordon'!$Y$6)","v":21.290506690835485},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L507 / 'Speed-Vol., non-Cordon'!$Y$4)^L537,'Speed-Vol., non-Cordon'!$Y$6)","v":13.106266512636635},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M507 / 'Speed-Vol., non-Cordon'!$Y$4)^M537,'Speed-Vol., non-Cordon'!$Y$6)","v":25.637645524655309},null,{"$f":"ROW()","v":568},55,41.228644600026946,13.82456320476081,18.021711292912293,21.290506690835485,13.106266512636635,25.637645524655309,"Avgs are wghtd by periods' cordon VMT.",null,55,41.228644600026946,13.82456320476081,18.021711292912293,21.290506690835485,13.106266512636635,25.637645524655309,"Avgs are wghtd by periods' cordon VMT.",null,55,41.228644600026946,13.82456320476081,18.021711292912293,21.290506690835485,13.106266512636635,25.637645524655309,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G568*$AV$198","v":54.45},40.816358154026673,13.686317572713202,17.841494179983169,21.07760162392713,12.975203847510269,25.381269069408756,"Avgs are wghtd by periods' cordon VMT.",null,55,41.228644600026946,13.82456320476081,18.021711292912293,21.290506690835485,13.106266512636635,25.637645524655309,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y568*$AV$198","v":54.45},{"$f":"Z568*$AV$198","v":40.816358154026673},{"$f":"AA568*$AV$198","v":13.686317572713202},{"$f":"AB568*$AV$198","v":17.841494179983169},{"$f":"AC568*$AV$198","v":21.07760162392713},{"$f":"AD568*$AV$198","v":12.975203847510269},{"$f":"AE568*$AV$198","v":25.381269069408756},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":569}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":571},{"$f":"($I$99)*60/P567","v":3.6485648697804089},4.6527462721843893,8.6045752576313177,9.7910123557962709,7.6124770801255872,11.828343951035606,8.0838056304814803,{"$f":"SUMPRODUCT(P$562:V$562,P571:V571)/W$562","v":8.7697759953101944},null,{"$f":"($J$99)*60/Y567","v":3.6485648697804089},4.6527462721843893,8.6045752576313177,9.7910123557962709,7.6124770801255872,11.828343951035606,8.0838056304814803,{"$f":"SUMPRODUCT(Y$562:AE$562,Y571:AE571)/AF$562","v":8.9867832741444111},null,{"$f":"($K$99)*60/AH567","v":4.6701630333189232},5.9555152283960178,11.013856329768087,12.532495815419226,9.7439706625607521,15.140280257325575,10.347271207016295,{"$f":"SUMPRODUCT(AH$562:AN$562,AH571:AN571)/AO$562","v":11.019175418718907},null,{"$f":"($L$99)*60/AQ567","v":4.4676304527923367},5.6972403332870076,10.536214601181207,11.98899472138319,9.3214005062762304,14.483686470655844,9.8985375067120174,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ571:AW571)/AX$562","v":10.43695520911521},null,{"$f":"($M$99)*60/AZ567","v":8.7565556874729804},11.166591053242533,20.650980618315163,23.49842965391105,18.269944992301411,28.388025482485453,19.401133513155553,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ571:BF571)/BG$562","v":21.029370164206874},null,{"$f":"($L$99)*60/BI567","v":4.4676304527923367},5.6972403332870076,10.536214601181207,11.98899472138319,9.3214005062762304,14.483686470655844,9.8985375067120174,{"$f":"SUMPRODUCT(BI$562:BO$562,BI571:BO571)/BP$562","v":10.422997859687081}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":572},{"$f":"60*$I$99/(1/($P$152/$P567+$Q$152/$Q567+$R$152/$R567+$S$152/$S567+$T$152/$T567+$U$152/$U567+$V$152/$V567))","v":8.9420864903046766},8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,{"$f":"SUMPRODUCT(P$463:V$463,P572:V572)/W$463","v":8.9420864903046784},null,{"$f":"60*$J$99/(1/($Y$152/$Y567+$Z$152/$Z567+$AA$152/$AA567+$AB$152/$AB567+$AC$152/$AC567+$AD$152/$AD567+$AE$152/$AE567))","v":8.9420864903046766},8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,8.9420864903046766,{"$f":"SUMPRODUCT(Y$463:AE$463,Y572:AE572)/AF$463","v":8.9420864903046766},null,{"$f":"AH571","v":4.6701630333189232},{"$f":"AI571","v":5.9555152283960178},11.013856329768087,12.532495815419226,9.7439706625607521,15.140280257325575,10.347271207016295,{"$f":"SUMPRODUCT(AH$463:AN$463,AH572:AN572)/AO$463","v":10.778384305338351},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ567+$BA$152/$BA567+$BB$152/$BB567+$BC$152/$BC567+$BD$152/$BD567+$BE$152/$BE567+$BF$152/$BF567))","v":21.178773435393957},21.178773435393957,21.178773435393957,21.178773435393957,21.178773435393957,21.178773435393957,21.178773435393957,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ572:BF572)/BG$463","v":21.178773435393953}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573},{"$f":"($I$93)*60/P568","v":18.389355683366585},24.531841208878866,73.160688522647717,56.122004517014901,47.505424707460172,77.170303351453242,39.45036846743595,{"$f":"SUMPRODUCT(P$562:V$562,P573:V573)/W$562","v":57.332322930946717},null,{"$f":"($J$93)*60/Y568","v":18.389355683366585},24.531841208878866,73.160688522647717,56.122004517014901,47.505424707460172,77.170303351453242,39.45036846743595,{"$f":"SUMPRODUCT(Y$562:AE$562,Y573:AE573)/AF$562","v":57.169399220397118},null,{"$f":"($K$93)*60/AH568","v":27.584033525049882},36.797761813318303,109.74103278397159,84.183006775522358,71.258137061190268,115.75545502717986,59.175552701153933,{"$f":"SUMPRODUCT(AH$562:AN$562,AH573:AN573)/AO$562","v":81.367280591738819},null,{"$f":"($L$93)*60/AQ568","v":6.6115702479338836},8.8199931665016713,26.303642165789149,20.177682225959149,17.079742108387265,27.745228840399157,14.183687939934282,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ573:AW573)/AX$562","v":19.560820602476461},null,{"$f":"($M$93)*60/AZ568","v":16.961695569840352},22.627308401513876,67.480848582612424,51.764965112281779,43.817334640644511,71.179176422343772,36.387633780335683,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ573:BF573)/BG$562","v":52.55379183346929},null,{"$f":"($L$93)*60/BI568","v":6.6115702479338836},8.8199931665016713,26.303642165789149,20.177682225959149,17.079742108387265,27.745228840399157,14.183687939934282,{"$f":"SUMPRODUCT(BI$562:BO$562,BI573:BO573)/BP$562","v":19.355405034888054}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574},{"$f":"60*$I$93/(1/($P$152/$P568+$Q$152/$Q568+$R$152/$R568+$S$152/$S568+$T$152/$T568+$U$152/$U568+$V$152/$V568))","v":57.153216391936105},57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,{"$f":"SUMPRODUCT(P$562:V$562,P574:V574)/W$562","v":57.153216391936098},null,{"$f":"60*$J$93/(1/($Y$152/$Y568+$Z$152/$Z568+$AA$152/$AA568+$AB$152/$AB568+$AC$152/$AC568+$AD$152/$AD568+$AE$152/$AE568))","v":57.153216391936105},57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,57.153216391936105,{"$f":"SUMPRODUCT(Y$562:AE$562,Y574:AE574)/AF$562","v":57.153216391936112},null,{"$f":"AH573","v":27.584033525049882},{"$f":"AI573","v":36.797761813318303},109.74103278397159,84.183006775522358,71.258137061190268,115.75545502717986,59.175552701153933,{"$f":"SUMPRODUCT(AH$562:AN$562,AH574:AN574)/AO$562","v":81.367280591738819},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ568+$BA$152/$BA568+$BB$152/$BB568+$BC$152/$BC568+$BD$152/$BD568+$BE$152/$BE568+$BF$152/$BF568))","v":53.414989630780916},53.414989630780916,53.414989630780916,53.414989630780916,53.414989630780916,53.414989630780916,53.414989630780916,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ574:BF574)/BG$562","v":53.414989630780916}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575},{"$f":"SUM(P571:P574)","v":88.133223435387777},95.279890363304048,147.8605666625198,132.00831975505196,121.21320466982655,155.09395018472964,113.62947698015822,132.19740180849769,null,{"$f":"SUM(Y571:Y574)","v":88.133223435387777},95.279890363304048,147.8605666625198,132.00831975505196,121.21320466982655,155.09395018472964,113.62947698015822,132.25148537678234,null,{"$f":"SUM(AH571:AH574)","v":64.508393116737608},85.50655408342864,241.50977822747933,193.43100518188317,162.00421544750205,261.79147056901087,139.04564781634048,184.5321209075349,null,{"$f":"AQ571+AQ573","v":11.07920070072622},14.517233499788679,36.839856766970357,32.166676947342339,26.401142614663495,42.228915311055005,24.082225446646298,29.997775811591673,null,{"$f":"SUM(AZ571:AZ574)","v":100.3120143234882},108.38766252093129,162.72559226710246,149.8571578323677,136.68104269912081,174.16096497100409,130.38253035966611,148.17692506385103,null,{"$f":"BI571+BI573","v":11.07920070072622},14.517233499788679,36.839856766970357,32.166676947342339,26.401142614663495,42.228915311055005,24.082225446646298,29.778402894575137]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,"Total cordon round-trip minutes -- average of this and previous round with new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577},{"$f":"AVERAGE(P575,P515)","v":79.986572772566888},89.604758565765565,124.46688168673327,116.26801709461331,107.69271981559284,134.56538393675078,103.06302066120428,115.60482080174823,null,{"$f":"AVERAGE(Y575,Y515)","v":79.986572772566888},89.604758565765565,124.46688168673327,116.26801709461331,107.69271981559284,134.56538393675078,103.06302066120428,115.89732613694572,null,{"$f":"AVERAGE(AH575,AH515)","v":64.470380717995923},92.902108896874239,196.167656497656,171.00782590562878,146.08423808223762,225.11242609610451,131.93562302096637,161.4598835425985,null,{"$f":"AVERAGE(AQ575,AQ515)","v":11.06101874979748},15.35027150099144,30.480823758107707,28.640283584716165,23.980006913292115,36.766858572702368,22.825642639793848,26.646375816625628,null,{"$f":"AVERAGE(AZ575,AZ515)","v":91.255966543524067},101.5474142809619,138.13867685997587,132.46782883803712,121.8639291046903,151.98930932665624,118.46518527239365,130.53509012681593,null,{"$f":"AVERAGE(BI575,BI515)","v":11.06101874979748},15.35027150099144,30.480823758107707,28.640283584716165,23.980006913292115,36.766858572702368,22.825642639793848,26.504138080713577]
[null,"Averaging is applied to smooth fluctuations and help the calculated cordon entries converge toward equilibrium.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,"Ratio, average cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":579},{"$f":"P577/P515","v":1.1134000486578435},1.0676177413872034,1.2314529047962017,1.1565767485019802,1.143571880393212,1.1800170038417344,1.114236203194062,1.1675811095790156,null,{"$f":"Y577/Y515","v":1.1134000486578435},1.0676177413872034,1.2314529047962017,1.1565767485019802,1.143571880393212,1.1800170038417344,1.114236203194062,1.164292133248491,null,{"$f":"AH577/AH515","v":1.0005899581178412},0.926263937365426,1.3006262951404013,1.1509118188515546,1.1223068242970358,1.1946525830877026,1.0569596693021603,1.1667217992516197,null,{"$f":"AQ577/AQ515","v":1.0016464927681088},0.94852486748215425,1.2636219290253843,1.1404160538825794,1.1123034539968233,1.1744798375423446,1.0582585804195936,1.1438679318932765,null,{"$f":"AZ577/AZ515","v":1.1101710064460402},1.0722252446769307,1.2165260590636977,1.1511084087639989,1.138417135753192,1.1707907593107996,1.1118497105766449,1.1562700526916159,null,{"$f":"BI577/BI515","v":1.0016464927681088},0.94852486748215425,1.2636219290253843,1.1404160538825794,1.1123034539968233,1.1744798375423446,1.0582585804195936,1.1409506102873919]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,"Speeds (calculated as average of the speeds calculated in this and the prior traffic rounds (#2 and #1), to help the calculated cordon entries converge toward equilibrium)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G567,G483)","v":20.640371089905216},16.325790666491827,10.049844582595203,8.5397531401920741,10.700708716620483,7.1158548405226476,9.8455963674924352,null,{"$f":"ROW()","v":582},{"$f":"G582","v":20.640371089905216},16.325790666491827,10.049844582595203,8.5397531401920741,10.700708716620483,7.1158548405226476,9.8455963674924352,null,null,{"$f":"G582","v":20.640371089905216},16.325790666491827,10.049844582595203,8.5397531401920741,10.700708716620483,7.1158548405226476,9.8455963674924352,null,null,{"$f":"P582","v":20.640371089905216},16.325790666491827,10.049844582595203,8.5397531401920741,10.700708716620483,7.1158548405226476,9.8455963674924352,null,null,{"$f":"G582*$AU$198","v":20.227563668107113},15.999274853161991,9.8488476909432983,8.3689580773882319,10.486694542288072,6.9735377437121944,9.6486844401425866,null,null,{"$f":"G582","v":20.640371089905216},16.325790666491827,10.049844582595203,8.5397531401920741,10.700708716620483,7.1158548405226476,9.8455963674924352,null,null,{"$f":"Y582*$AU$198","v":20.227563668107113},{"$f":"Z582*$AU$198","v":15.999274853161991},{"$f":"AA582*$AU$198","v":9.8488476909432983},{"$f":"AB582*$AU$198","v":8.3689580773882319},{"$f":"AC582*$AU$198","v":10.486694542288072},{"$f":"AD582*$AU$198","v":6.9735377437121944},{"$f":"AE582*$AU$198","v":9.6486844401425866}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G568,G507)","v":55},37.721399395134448,18.237563147752539,20.844766232226601,24.007292927241373,15.798132499010201,27.079123379165903,null,{"$f":"ROW()","v":583},55,37.721399395134448,18.237563147752539,20.844766232226601,24.007292927241373,15.798132499010201,27.079123379165903,null,null,55,37.721399395134448,18.237563147752539,20.844766232226601,24.007292927241373,15.798132499010201,27.079123379165903,null,null,55,37.721399395134448,18.237563147752539,20.844766232226601,24.007292927241373,15.798132499010201,27.079123379165903,null,null,{"$f":"G583*$AV$198","v":54.45},37.344185401183104,18.055187516275012,20.636318569904333,23.767219997968958,15.640151174020099,26.808332145374244,null,null,55,37.721399395134448,18.237563147752539,20.844766232226601,24.007292927241373,15.798132499010201,27.079123379165903,null,null,{"$f":"Y583*$AV$198","v":54.45},{"$f":"Z583*$AV$198","v":37.344185401183104},{"$f":"AA583*$AV$198","v":18.055187516275012},{"$f":"AB583*$AV$198","v":20.636318569904333},{"$f":"AC583*$AV$198","v":23.767219997968958},{"$f":"AD583*$AV$198","v":15.640151174020099},{"$f":"AE583*$AV$198","v":26.808332145374244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":584}]
[null,"Traffic-Rebound Factors for cordon entries for next round (see notes interspersed between rows, in column blocks at right)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":585},{"$f":"P579^Elasticities!$G$67","v":0.89814977213756864},{"$f":"Q579^Elasticities!$G$67","v":0.93666483914051046},{"$f":"R579^Elasticities!$G$67","v":0.81204891888699082},{"$f":"S579^Elasticities!$G$67","v":0.86462052889721208},{"$f":"T579^Elasticities!$G$67","v":0.87445312108947149},{"$f":"U579^Elasticities!$G$67","v":0.84744541540023566},{"$f":"V579^Elasticities!$G$67","v":0.89747577500480302},null,null,{"$f":"Y579^Elasticities!$H$67","v":0.89814977213756864},{"$f":"Z579^Elasticities!$H$67","v":0.93666483914051046},{"$f":"AA579^Elasticities!$H$67","v":0.81204891888699082},{"$f":"AB579^Elasticities!$H$67","v":0.86462052889721208},{"$f":"AC579^Elasticities!$H$67","v":0.87445312108947149},{"$f":"AD579^Elasticities!$H$67","v":0.84744541540023566},{"$f":"AE579^Elasticities!$H$67","v":0.89747577500480302},null,null,{"$f":"AH579^Elasticities!$I$67","v":0.99941038972752538},{"$f":"AI579^Elasticities!$I$67","v":1.0796058873287258},{"$f":"AJ579^Elasticities!$I$67","v":0.76886035884123882},{"$f":"AK579^Elasticities!$I$67","v":0.86887629757582729},{"$f":"AL579^Elasticities!$I$67","v":0.89102193656031325},{"$f":"AM579^Elasticities!$I$67","v":0.83706343932676819},{"$f":"AN579^Elasticities!$I$67","v":0.94610989335121276},null,null,{"$f":"P579^Elasticities!$G$69","v":0.93758199438792389},{"$f":"Q579^Elasticities!$G$69","v":0.9615027499913934},{"$f":"R579^Elasticities!$G$69","v":0.88257031400681885},{"$f":"S579^Elasticities!$G$69","v":0.91642161856158488},{"$f":"T579^Elasticities!$G$69","v":0.92266048059348449},{"$f":"U579^Elasticities!$G$69","v":0.90545535326196702},{"$f":"V579^Elasticities!$G$69","v":0.93715977809032791},null,null,{"$f":"AZ579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96576183662249393},{"$f":"BA579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97702270702624205},{"$f":"BB579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.93675537682618393},{"$f":"BC579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.95417476041011839},{"$f":"BD579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.95770743407764858},{"$f":"BE579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.94879758658474567},{"$f":"BF579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96527554638007784},null,null,{"$f":"AH579^Elasticities!$G$69","v":0.99964619210819994},{"$f":"AI579^Elasticities!$G$69","v":1.0470300507444039},{"$f":"AJ579^Elasticities!$G$69","v":0.85409952824740121},{"$f":"AK579^Elasticities!$G$69","v":0.91912540438451962},{"$f":"AL579^Elasticities!$G$69","v":0.93311041695141272},{"$f":"AM579^Elasticities!$G$69","v":0.89878336163307593},{"$f":"AN579^Elasticities!$G$69","v":0.96730838032432842}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586},"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto non-work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto through-trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round (see notes interspersed between rows, in column blocks at right)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587},{"$f":"(P483/P582)^Elasticities!$G$67","v":0.99593029210431283},{"$f":"(Q483/Q582)^Elasticities!$G$67","v":0.98752252194946177},{"$f":"(R483/R582)^Elasticities!$G$67","v":0.88285117468712293},{"$f":"(S483/S582)^Elasticities!$G$67","v":0.90661136185776514},{"$f":"(T483/T582)^Elasticities!$G$67","v":0.92653478739292938},{"$f":"(U483/U582)^Elasticities!$G$67","v":0.9017675323590848},{"$f":"(V483/V582)^Elasticities!$G$67","v":0.94547517658209979},null,null,{"$f":"(Y483/Y582)^Elasticities!$H$67","v":0.99593029210431283},{"$f":"(Z483/Z582)^Elasticities!$H$67","v":0.98752252194946177},{"$f":"(AA483/AA582)^Elasticities!$H$67","v":0.88285117468712293},{"$f":"(AB483/AB582)^Elasticities!$H$67","v":0.90661136185776514},{"$f":"(AC483/AC582)^Elasticities!$H$67","v":0.92653478739292938},{"$f":"(AD483/AD582)^Elasticities!$H$67","v":0.9017675323590848},{"$f":"(AE483/AE582)^Elasticities!$H$67","v":0.94547517658209979},null,null,{"$f":"(AH483/AH582)^Elasticities!$I$67","v":0.99593029210431283},{"$f":"(AI483/AI582)^Elasticities!$I$67","v":0.98752252194946177},{"$f":"(AJ483/AJ582)^Elasticities!$I$67","v":0.88285117468712293},{"$f":"(AK483/AK582)^Elasticities!$I$67","v":0.90661136185776514},{"$f":"(AL483/AL582)^Elasticities!$I$67","v":0.92653478739292938},{"$f":"(AM483/AM582)^Elasticities!$I$67","v":0.9017675323590848},{"$f":"(AN483/AN582)^Elasticities!$I$67","v":0.94547517658209979},null,null,{"$f":"(P483/P582)^Elasticities!$G$69","v":0.9975561839760031},{"$f":"(Q483/Q582)^Elasticities!$G$69","v":0.99249472106840309},{"$f":"(R483/R582)^Elasticities!$G$69","v":0.92796693000348207},{"$f":"(S483/S582)^Elasticities!$G$69","v":0.94287190351434413},{"$f":"(T483/T582)^Elasticities!$G$69","v":0.95524998141204287},{"$f":"(U483/U582)^Elasticities!$G$69","v":0.93984612861864303},{"$f":"(V483/V582)^Elasticities!$G$69","v":0.96691896514640718},null,null,{"$f":"(AZ483/AZ582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99864158624907373},{"$f":"(BA483/BA582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99582342112386302},{"$f":"(BB483/BB582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.95931779319842314},{"$f":"(BC483/BC582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96784776717265719},{"$f":"(BD483/BD582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97488617120147014},{"$f":"(BE483/BE582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96612102082005991},{"$f":"(BF483/BF582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98148434529559136},null,null,{"$f":"(AH483/AH582)^Elasticities!$G$69","v":0.9975561839760031},{"$f":"(AI483/AI582)^Elasticities!$G$69","v":0.99249472106840309},{"$f":"(AJ483/AJ582)^Elasticities!$G$69","v":0.92796693000348207},{"$f":"(AK483/AK582)^Elasticities!$G$69","v":0.94287190351434413},{"$f":"(AL483/AL582)^Elasticities!$G$69","v":0.95524998141204287},{"$f":"(AM483/AM582)^Elasticities!$G$69","v":0.93984612861864303},{"$f":"(AN483/AN582)^Elasticities!$G$69","v":0.96691896514640718}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":588},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P589+$J$85*$J$93*Y589+$K$85*$K$93*AH589+$L$85*$L$93*AQ589+$M$85*$M$93*AZ589+$N$85*$N$93*BI589)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},1.0960079773660967,0.81672173915398527,0.88793445693777207,0.9045131895369859,0.86316036361288073,0.95256448583646935,null,{"$f":"ROW()","v":589},{"$f":"(P507/P583)^Elasticities!$G$67","v":1},{"$f":"(Q507/Q583)^Elasticities!$G$67","v":1.1025086046374568},{"$f":"(R507/R583)^Elasticities!$G$67","v":0.8051704089954822},{"$f":"(S507/S583)^Elasticities!$G$67","v":0.88072180709608971},{"$f":"(T507/T583)^Elasticities!$G$67","v":0.89833938824348625},{"$f":"(U507/U583)^Elasticities!$G$67","v":0.85441502396544433},{"$f":"(V507/V583)^Elasticities!$G$67","v":0.94945836370347869},null,null,{"$f":"(Y507/Y583)^Elasticities!$H$67","v":1},{"$f":"(Z507/Z583)^Elasticities!$H$67","v":1.1025086046374568},{"$f":"(AA507/AA583)^Elasticities!$H$67","v":0.8051704089954822},{"$f":"(AB507/AB583)^Elasticities!$H$67","v":0.88072180709608971},{"$f":"(AC507/AC583)^Elasticities!$H$67","v":0.89833938824348625},{"$f":"(AD507/AD583)^Elasticities!$H$67","v":0.85441502396544433},{"$f":"(AE507/AE583)^Elasticities!$H$67","v":0.94945836370347869},null,null,{"$f":"(AH507/AH583)^Elasticities!$I$67","v":1},{"$f":"(AI507/AI583)^Elasticities!$I$67","v":1.1025086046374568},{"$f":"(AJ507/AJ583)^Elasticities!$I$67","v":0.8051704089954822},{"$f":"(AK507/AK583)^Elasticities!$I$67","v":0.88072180709608971},{"$f":"(AL507/AL583)^Elasticities!$I$67","v":0.89833938824348625},{"$f":"(AM507/AM583)^Elasticities!$I$67","v":0.85441502396544433},{"$f":"(AN507/AN583)^Elasticities!$I$67","v":0.94945836370347869},null,null,{"$f":"(P507/P583)^Elasticities!$G$69","v":1},{"$f":"(Q507/Q583)^Elasticities!$G$69","v":1.0603010526995755},{"$f":"(R507/R583)^Elasticities!$G$69","v":0.87807716544010528},{"$f":"(S507/S583)^Elasticities!$G$69","v":0.92662337152813923},{"$f":"(T507/T583)^Elasticities!$G$69","v":0.93770075396218344},{"$f":"(U507/U583)^Elasticities!$G$69","v":0.90991605041227119},{"$f":"(V507/V583)^Elasticities!$G$69","v":0.96936102634744448},null,null,{"$f":"(AZ507/AZ583)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA507/BA583)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0330642417041844},{"$f":"(BB507/BB583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.93031338303534106},{"$f":"(BC507/BC583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.95854590593486189},{"$f":"(BD507/BD583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96489520307501842},{"$f":"(BE507/BE583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.94890548886646287},{"$f":"(BF507/BF583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98286071092303096},null,null,{"$f":"(AH507/AH583)^Elasticities!$G$69","v":1},{"$f":"(AI507/AI583)^Elasticities!$G$69","v":1.0603010526995755},{"$f":"(AJ507/AJ583)^Elasticities!$G$69","v":0.87807716544010528},{"$f":"(AK507/AK583)^Elasticities!$G$69","v":0.92662337152813923},{"$f":"(AL507/AL583)^Elasticities!$G$69","v":0.93770075396218344},{"$f":"(AM507/AM583)^Elasticities!$G$69","v":0.90991605041227119},{"$f":"(AN507/AN583)^Elasticities!$G$69","v":0.96936102634744448}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 3 • (Rebound Effect 2)",null,null,null,null,null,null,"Note: This Section is first whose architecture is duplicated in succeeding iterations. ",null,null,null,null,null,{"$f":"ROW()","v":591},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,"Period entries with first rebound effect but before second",null,null,null,null,{"$f":"P594+Y594+AH594+AQ594+AZ594+BI594","v":55677.795906692954},37795.574338567603,88075.617258210084,32288.219392053772,106223.02866093183,175836.60376977004,75843.713473413474,{"$f":"SUM(G594:M594)","v":571740.55279963976},{"$f":"ROW()","v":594},{"$f":"P544","v":7106.2235364114804},24355.216817184952,47122.817612384068,14240.849907719254,39797.346627211497,41675.955360449174,14021.997739438852,{"$f":"SUM(P594:V594)","v":188320.40760079928},null,{"$f":"Y544","v":18243.602679193147},3733.365140661741,10689.331341433144,7468.4330399374903,29363.435798391965,61806.708539468222,24318.319769533133,{"$f":"SUM(Y594:AE594)","v":155623.19630861882},null,{"$f":"AH544","v":15103.041446007681},4632.5124470270366,8274.1841149577795,2893.7155584116476,12557.050236513347,25572.940414204928,15580.368241611701,{"$f":"SUM(AH594:AN594)","v":84613.812458734115},null,{"$f":"AQ544","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ594:AW594)","v":36892.383966688518},null,{"$f":"AZ544","v":3835.4923813824871},3303.189059285487,6495.5618905189085,2379.0855732518748,7895.0824669746735,12471.043615763145,4936.0392413617674,{"$f":"SUM(AZ594:BF594)","v":41315.494228538344},null,{"$f":"BI544","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI594:BO594)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O544,\".\")","v":"Above row repeats figures in Row 544."},null,null,null,null,"Rows above and below are sums of respective figures in column blocks to riight. See notes there.",null,null,null,null,null,null,null,{"$f":"ROW()","v":595},{"$f":"CONCATENATE(\"Figures in Row \",O596, \" are product of figures in Row \",O594, \" and rebound factors in Row \",O585, \".\")","v":"Figures in Row 596 are product of figures in Row 594 and rebound factors in Row 585."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O596, \" figures are set equal to Row \",$O594, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 596 figures are set equal to Row 594 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O596, \" figures are set equal to Row \",$O594, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 596 figures are set equal to Row 594 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P596+Y596+AH596+AQ596+AZ596+BI596","v":52955.685207191462},36309.456403096461,74886.460049592904,28860.771284398761,95837.761971400178,155244.53447691511,70901.873162865726,{"$f":"SUM(G596:M596)","v":514996.54255546071},{"$f":"ROW()","v":596},{"$f":"P594*P585","v":6382.4530499865987},22812.675242300797,38266.033097045329,12312.931179158035,34800.913969244648,35318.097302637529,12584.403288318479,{"$f":"SUM(P596:V596)","v":162477.50712869142},null,{"$f":"Y594*Y585","v":16385.487589285662},3496.9118589307186,8680.2599594356125,6457.3605250241662,25676.94807981417,52377.811792750937,21825.102881976371,{"$f":"SUM(Y596:AE596)","v":134899.88268721764},null,{"$f":"AH594*AH585","v":15094.136537625505},5001.2877109339906,6361.6921677449163,2514.2808606302801,11188.607219223262,21406.173456812885,14740.740535443869,{"$f":"SUM(AH596:AN596)","v":76306.918488414711},null,{"$f":"AQ594","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ596:AW596)","v":36892.383966688518},null,{"$f":"AZ594*AZ585","v":3704.1721665955338},3227.2907165225724,6084.7525264508395,2270.063406852777,7561.1791712777458,11832.496084829172,4764.6379756589849,{"$f":"SUM(AZ596:BF596)","v":39444.592048187624},null,{"$f":"BI594","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI596:BO596)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,80807.214554624996,53227.852675214068,110356.41481671984,42255.107196894794,141097.80692367448,230832.18591445065,106371.46421875774,{"$f":"SUM(G597:M597)","v":764948.04630033649},{"$f":"ROW()","v":597},{"$f":"P596*$I$99","v":7978.0663124832481},28515.844052875997,47832.541371306659,15391.163973947543,43501.142461555806,44147.621628296911,15730.504110398098,{"$f":"SUM(P597:V597)","v":203096.88391086427},null,{"$f":"Y596*$J$99","v":20481.859486607078},4371.1398236633986,10850.324949294516,8071.700656280208,32096.185099767714,65472.26474093867,27281.378602470464,{"$f":"SUM(Y597:AE597)","v":168624.85335902206},null,{"$f":"AH596*$K$99","v":24150.618460200811},8002.0603374943857,10178.707468391867,4022.8493770084483,17901.771550757221,34249.877530900616,23585.184856710192,{"$f":"SUM(AH597:AN597)","v":122091.06958146355},null,{"$f":"AQ596*$L$99","v":4455.3103168231337},1771.0156370266441,11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ597:AW597)","v":55338.575950032769},null,{"$f":"AZ596*$M$99","v":11112.516499786601},9681.8721495677164,18254.257579352517,6810.190220558331,22683.537513833238,35497.488254487514,14293.913926976955,{"$f":"SUM(AZ597:BF597)","v":118333.77614456287},null,{"$f":"BI596*$L$99","v":12628.843478724113},885.92067458592396,11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI597:BO597)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":598},{"$f":"CONCATENATE(\"Figures in Row \",O597, \" are product of trips in Row \",O596, \" and CBD miles for that trip type in Row \",O99, \".\")","v":"Figures in Row 597 are product of trips in Row 596 and CBD miles for that trip type in Row 99."}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":599}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P600+Y600+AH600+AQ600+AZ600+BI600","v":65095.589007527858},13178.256287475408,78149.567344147494,25661.143474590775,100242.88257788544,207308.86995255973,82104.244155453038,{"$f":"SUM(G600:M600)","v":571740.55279963976},{"$f":"ROW()","v":600},{"$f":"P$152*$W594","v":21969.725249163275},4298.5392705809136,23935.278576465647,7884.8083034103329,33210.418111822575,70382.139926574353,26639.498162782176,188320.40760079926,null,{"$f":"Y$152*$AF594","v":18155.222308909473},3552.2035517465683,19779.505599322962,6515.8050903254625,27444.245066967127,58162.010787658633,22014.203903688584,{"$f":"SUM(Y600:AE600)","v":155623.19630861882},null,{"$f":"AH$152*$AO594","v":9871.1671012479655},1931.366867357468,10754.305379955144,3542.7052200953281,14921.697152157052,31623.238628580104,11969.332109341063,{"$f":"SUM(AH600:AN600)","v":84613.81245873413},null,{"$f":"AQ594","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ600:AW600)","v":36892.383966688518},null,{"$f":"AZ$152*$BG594","v":3710.0384845089898},1624.8557233820788,8186.7554894875575,2411.6895480261455,8056.4087150983332,12831.524769862046,4494.2214981731922,{"$f":"SUM(AZ600:BF600)","v":41315.494228538344},null,{"$f":"BI594","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI600:BO600)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right is product of period's % of total exits in Row \",$O$152,\" times 24-h entries for trip type in Row \",O594,\"; except taxicabs, where each fig. is corresp. # of entries for period.\")","v":"Each fig. in column blocks to right is product of period's % of total exits in Row 152 times 24-h entries for trip type in Row 594; except taxicabs, where each fig. is corresp. # of entries for period."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":601}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":602},{"$f":"P600*$W596/$W594","v":18954.855908941689},3708.657781047656,20650.67957891573,6802.7890001247024,28653.006937775837,60723.714372440678,22983.803549445121,{"$f":"SUM(P602:V602)","v":162477.50712869142},null,{"$f":"Y600*$AF596/$AF594","v":15737.611215588462},3079.1800565607009,17145.599423805546,5648.1383440715272,23789.676139482286,50416.959799156255,19082.71770855286,{"$f":"SUM(Y602:AE602)","v":134899.88268721764},null,{"$f":"AH600*$AO596/$AO594","v":8902.0730953093662},1741.7564560224289,9698.5099735102303,3194.902943182427,13456.771361694211,28518.652241885411,10794.252416810647,{"$f":"SUM(AH602:AN602)","v":76306.918488414725},null,{"$f":"AQ600*$AX596/$AX594","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ602:AW602)","v":36892.383966688518},null,{"$f":"AZ600*$BG596/$BG594","v":3542.0356754064801},1551.2768839564801,7816.0321330015859,2302.4802715069623,7691.5878915230787,12250.470903330375,4290.7082894626601,{"$f":"SUM(AZ602:BF602)","v":39444.592048187616},null,{"$f":"BI600*$AX596/$AX594","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI602:BO602)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right prorates pre-toll # of exits, in Row \",O600,\", by ratio of (i) sum of post-tolls entries for trip type, in Row \",O596,\", to (ii) sum of pre-tolls entries for trip type, in Row \",O594,\".\")","v":"Each fig. in column blocks to right prorates pre-toll # of exits, in Row 600, by ratio of (i) sum of post-tolls entries for trip type, in Row 596, to (ii) sum of pre-tolls entries for trip type, in Row 594."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P604+Y604+AH604+AQ604+AZ604+BI604","v":81048.123231037534},17918.140512225196,103641.49869630343,33552.346930683256,128845.32942317301,259905.79933137415,101836.44234943402,{"$f":"SUM(G604:M604)","v":726747.68047423055},{"$f":"ROW()","v":604},{"$f":"P602*$I$99","v":23693.569886177109},4635.8222263095704,25813.349473644663,8503.4862501558782,35816.258672219796,75904.642965550855,28729.754436806401,{"$f":"SUM(P604:V604)","v":203096.88391086427},null,{"$f":"Y602*$J$99","v":19672.014019485578},3848.9750707008761,21431.999279756932,7060.1729300894094,29737.095174352857,63021.199748945321,23853.397135691077,{"$f":"SUM(Y604:AE604)","v":168624.85335902206},null,{"$f":"AH602*$K$99","v":14243.316952494986},2786.8103296358863,15517.61595761637,5111.8447090918835,21530.834178710738,45629.843587016658,17270.803866897037,{"$f":"SUM(AH604:AN604)","v":122091.06958146357},null,{"$f":"AQ602*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR602*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS602*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT602*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU602*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV602*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW602*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ604:AW604)","v":41503.931962524584},null,{"$f":"AZ602*$M$99","v":10626.107026219441},4653.8306518694408,23448.096399004757,6907.4408145208872,23074.763674569236,36751.412709991127,12872.12486838798,{"$f":"SUM(AZ604:BF604)","v":118333.77614456287},null,{"$f":"BI602*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ602*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK602*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL602*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM602*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN602*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO602*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI604:BO604)","v":73097.165515793269}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O604, \" are product of trips in Row \",O602, \" and CBD miles for that trip type in Row \",O99, \" (see column blocks to right).\")","v":"Figures in Row 604 are product of trips in Row 602 and CBD miles for that trip type in Row 99 (see column blocks to right)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":605},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":606}]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":607},{"$f":"CONCATENATE(\"Figs. in Row \",O608, \" repeat figs. for same column in Row \",O558, \"; figs. in Row \",O609, \" multiply those figs. by intra-cordon rebound factor in Row \",O587,\".\")","v":"Figs. in Row 608 repeat figs. for same column in Row 558; figs. in Row 609 multiply those figs. by intra-cordon rebound factor in Row 587."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O609, \" figures are set equal to Row \",$O608, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 609 figures are set equal to Row 608 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O609, \" figures are set equal to Row \",$O608, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 609 figures are set equal to Row 608 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P608+Y608+AH608+AQ608+AZ608+BI608","v":250577.68674506847},29890.165424951869,209915.53363282862,73560.646358595288,268448.69466937031,464073.20958322717,227990.50871659606,{"$f":"SUM(G608:M608)","v":1524456.4451306376},{"$f":"ROW()","v":608},{"$f":"P558","v":8506.916540869277},{"$f":"Q558","v":2181.8935800728937},20626.416057865463,5268.2497364101782,18736.632651164131,36871.591772493201,12297.637421136533,{"$f":"SUM(P608:V608)","v":104489.33776001168},null,{"$f":"Y558","v":5981.6023705624912},{"$f":"Z558","v":1534.1892386245822},14503.377174936857,3704.3475107146442,13174.583968718422,25926.103740782772,8647.0317179192207,{"$f":"SUM(Y608:AE608)","v":73471.235722258993},null,{"$f":"AH558","v":0},{"$f":"AI558","v":0},0,0,0,0,0,{"$f":"SUM(AH608:AN608)","v":0},null,{"$f":"AQ558","v":98921.343502801625},{"$f":"AR558","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ608:AW608)","v":553825.51435896545},null,{"$f":"AZ558","v":5078.9973507113282},{"$f":"BA558","v":1449.5065423207036},9238.144056867819,2674.3527430986405,9773.4740019583915,18409.012352893162,6528.3805713461779,{"$f":"SUM(AZ608:BF608)","v":53151.867619196222},null,{"$f":"BI558","v":132088.82698012373},{"$f":"BJ558","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI608:BO608)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250511.82332541567,29837.744104742113,205424.29153513728,72636.721309028988,265858.88100298826,457280.75844456832,226727.62708980468,{"$f":"SUM(G609:M609)","v":1508277.8468116855},{"$f":"ROW()","v":609},{"$f":"P608*P587","v":8472.2958754549491},2154.669050818924,18210.05564627186,4776.2550681336443,17360.141949905777,33249.604326832727,11627.110912291702,{"$f":"SUM(P609:V609)","v":95850.132829709575},null,{"$f":"Y608*Y587","v":5957.2589961661515},1515.0464260742719,12804.323575823411,3358.4035414834257,12206.710356446818,23379.318594011318,8175.5538404106928,{"$f":"SUM(Y609:AE609)","v":67396.615330416098},null,{"$f":"AH608*AH587","v":0},0,0,0,0,0,0,{"$f":"SUM(AH609:AN609)","v":0},null,{"$f":"AQ608","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,553825.51435896545,null,{"$f":"AZ608*AZ587","v":5072.0979708692039},1443.4525639152246,8862.3159698835643,2588.3663310400902,9528.0246491063263,17785.333806666233,6407.5033309081618,{"$f":"SUM(AZ609:BF609)","v":51687.094622388802},null,{"$f":"BI608","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,739518.48967020516]
[null,"Difference (shows reb. eff. for intra-cordon trips, which are unaff'd by toll)",null,null,null,null,-65.86341965279189,-52.42132020975896,-4491.2420976913181,-923.92504956630046,-2589.8136663820333,-6792.4511386588347,-1262.8816267913744,{"$f":"W610+AF610+AO610+AX610+BG610+BP610","v":-16178.598318952412},{"$f":"ROW()","v":610},{"$f":"P609-P608","v":-34.620665414327959},-27.224529253969649,-2416.3604115936032,-491.99466827653396,-1376.4907012583535,-3621.9874456604739,-670.52650884483046,-8639.2049303021049,null,{"$f":"Y609-Y608","v":-24.343374396339641},-19.142812550310282,-1699.0535991134457,-345.94396923121849,-967.87361227160363,-2546.7851467714536,-471.47787750852785,-6074.6203918428946,null,{"$f":"AH609-AH608","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ609-AQ608","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ609-AZ608","v":-6.89937984212429},-6.0539784054790289,-375.8280869842547,-85.986412058550286,-245.4493528520652,-623.67854622692903,-120.87724043801609,-1464.77299680742,null,{"$f":"BI609-BI608","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611},{"$f":"CONCATENATE(\"Figs. in Row \",O612, \" repeat figs. for same column in Row \",O562, \".\")","v":"Figs. in Row 612 repeat figs. for same column in Row 562."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O613, \" figures are set equal to Row \",$O612, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 613 figures are set equal to Row 612 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O613, \" figures are set equal to Row \",$O612, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 613 figures are set equal to Row 612 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Total Cordon VMT before second rebound effect",null,null,null,null,{"$f":"P612+Y612+AH612+AQ612+AZ612+BI612","v":415437.81147767336},104523.80446696148,448299.19808539556,157317.87107989468,566891.58610714762,1011602.3698511026,436616.58652296988,3140689.2275911449,{"$f":"ROW()","v":612},{"$f":"P562","v":44851.852522837726},{"$f":"Q562","v":37999.088689780227},109449.03629392761,32925.32250032216,109996.33857495672,176944.21088127262,63124.507298912817,{"$f":"SUM(P612:V612)","v":575290.35676200991},null,{"$f":"Y562","v":51480.133605690768},{"$f":"Z562","v":10641.150104134969},52589.423350881989,21184.645173543337,84184.185050417291,175887.00289969135,66562.686309446362,{"$f":"SUM(Y612:AE612)","v":462529.22649380605},null,{"$f":"AH562","v":39958.733675609037},{"$f":"AI562","v":10502.206903015209},30445.583191860678,10298.273245611161,43965.995821872646,91513.886468456069,44079.520561524427,{"$f":"SUM(AH612:AN612)","v":270764.19986794924},null,{"$f":"AQ562","v":101102.94289294499},{"$f":"AR562","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ612:AW612)","v":632517.43270702334},null,{"$f":"AZ562","v":27715.589948385761},{"$f":"BA562","v":16233.640890323401},53285.096196887214,17046.678106932701,57627.947548177413,94316.717509768729,34819.162789951064,{"$f":"SUM(AZ612:BF612)","v":301044.83299042628},null,{"$f":"BI562","v":150328.55883220508},{"$f":"BJ562","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI612:BO612)","v":898543.17876993015}]
[null,"Total Cordon VMT with second rebound effect",null,null,null,null,402891.2232110952,100757.24056263338,415733.64672218519,148464.82592579507,536553.58439294924,948029.15998555161,417857.93945108389,2970287.6202512938,{"$f":"ROW()","v":613},{"$f":"P597+P604+P609","v":40143.932074115306},35306.335330004484,91855.946491223178,28670.905292237065,96677.543083681376,153301.86892068048,56087.369459496207,{"$f":"SUM(P613:V613)","v":502043.9006514381},null,{"$f":"Y597+Y604+Y609","v":46111.132502258806},9735.1613204385467,45086.647804874854,18490.277127853042,74039.990630567379,151872.78308389531,59310.329578572229,{"$f":"SUM(Y613:AE613)","v":404646.32204846019},null,{"$f":"AH597+AH604+AH609","v":38393.935412695799},10788.870667130272,25696.323426008239,9134.6940861003313,39432.605729467963,79879.721117917274,40855.988723607225,{"$f":"SUM(AH613:AN613)","v":244182.13916292711},null,{"$f":"AQ612","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ613:AW613)","v":632517.43270702334},null,{"$f":"AZ597+AZ604+AZ609","v":26810.721496875245},15779.155365352382,50564.669948240844,16305.997366119309,55286.325837508804,90034.234771144867,33573.542126273096,{"$f":"SUM(AZ613:BF613)","v":288354.64691151457},null,{"$f":"BI612","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI613:BO613)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with second rebound effect",null,null,null,null,{"$f":"G613/G$135","v":67148.537201849205},100757.24056263338,138577.88224072839,148464.82592579507,134138.39609823731,158004.85999759194,139285.97981702795,null,{"$f":"ROW()","v":614}]
[null,"Factor Change in VMT (ratio of previous row to preceding one)",null,null,null,null,{"$f":"G613/G612","v":0.96979911813527253},0.96396453493501899,0.9273575516032776,0.94372511467814391,0.94648359147023176,0.9371559302743544,0.95703633885906181,null,{"$f":"ROW()","v":615},{"$f":"CONCATENATE(\"Figures in Row \",O613,\" are sums of figures in Rows \",O597,\", \",O604,\" and \",O609, \" -- inbound, oubound and intra-cordon VMT.\")","v":"Figures in Row 613 are sums of figures in Rows 597, 604 and 609 -- inbound, oubound and intra-cordon VMT."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G614*$G$481/V_sub_k)^KSE)","v":20.712968437663523},16.730082913702645,10.342545238175887,8.8535028181965547,11.058089395622417,7.5732934727896906,10.230889535564465,null,{"$f":"ROW()","v":618},{"$f":"G618","v":20.712968437663523},16.730082913702645,10.342545238175887,8.8535028181965547,11.058089395622417,7.5732934727896906,10.230889535564465,null,null,{"$f":"G618","v":20.712968437663523},16.730082913702645,10.342545238175887,8.8535028181965547,11.058089395622417,7.5732934727896906,10.230889535564465,null,null,{"$f":"P618","v":20.712968437663523},16.730082913702645,10.342545238175887,8.8535028181965547,11.058089395622417,7.5732934727896906,10.230889535564465,null,null,{"$f":"G618*$AU$198","v":20.298709068910252},16.395481255428592,10.135694333412369,8.6764327618326238,10.836927607709969,7.421827603333897,10.026271744853176,null,null,{"$f":"G618","v":20.712968437663523},16.730082913702645,10.342545238175887,8.8535028181965547,11.058089395622417,7.5732934727896906,10.230889535564465,null,null,{"$f":"Y618*$AU$198","v":20.298709068910252},{"$f":"Z618*$AU$198","v":16.395481255428592},{"$f":"AA618*$AU$198","v":10.135694333412369},{"$f":"AB618*$AU$198","v":8.6764327618326238},{"$f":"AC618*$AU$198","v":10.836927607709969},{"$f":"AD618*$AU$198","v":7.421827603333897},{"$f":"AE618*$AU$198","v":10.026271744853176}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G568 / 'Speed-Vol., non-Cordon'!$Y$4)^G589,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H568 / 'Speed-Vol., non-Cordon'!$Y$4)^H589,'Speed-Vol., non-Cordon'!$Y$6)","v":36.907450898853938},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I568 / 'Speed-Vol., non-Cordon'!$Y$4)^I589,'Speed-Vol., non-Cordon'!$Y$6)","v":20.865052303378096},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J568 / 'Speed-Vol., non-Cordon'!$Y$4)^J589,'Speed-Vol., non-Cordon'!$Y$6)","v":22.500909034151935},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K568 / 'Speed-Vol., non-Cordon'!$Y$4)^K589,'Speed-Vol., non-Cordon'!$Y$6)","v":25.317215748799313},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L568 / 'Speed-Vol., non-Cordon'!$Y$4)^L589,'Speed-Vol., non-Cordon'!$Y$6)","v":17.952383633227448},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M568 / 'Speed-Vol., non-Cordon'!$Y$4)^M589,'Speed-Vol., non-Cordon'!$Y$6)","v":27.696370732530127},null,{"$f":"ROW()","v":619},{"$f":"G619","v":55},36.907450898853938,20.865052303378096,22.500909034151935,25.317215748799313,17.952383633227448,27.696370732530127,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G619","v":55},36.907450898853938,20.865052303378096,22.500909034151935,25.317215748799313,17.952383633227448,27.696370732530127,"Avgs are wghtd by periods' cordon VMT.",null,55,36.907450898853938,20.865052303378096,22.500909034151935,25.317215748799313,17.952383633227448,27.696370732530127,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G619*$AV$198","v":54.45},36.538376389865398,20.656401780344314,22.275899943810415,25.064043591311322,17.772859796895172,27.419407025204826,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G619","v":55},36.907450898853938,20.865052303378096,22.500909034151935,25.317215748799313,17.952383633227448,27.696370732530127,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y619*$AV$198","v":54.45},{"$f":"Z619*$AV$198","v":36.538376389865398},{"$f":"AA619*$AV$198","v":20.656401780344314},{"$f":"AB619*$AV$198","v":22.275899943810415},{"$f":"AC619*$AV$198","v":25.064043591311322},{"$f":"AD619*$AV$198","v":17.772859796895172},{"$f":"AE619*$AV$198","v":27.419407025204826},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":621}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":622},{"$f":"($I$99)*60/P618","v":3.6209199191180823},4.4829425165951706,7.2515998985591805,8.4712233722739576,6.7823651371176616,9.9032211374707337,7.3307408646419381,{"$f":"SUMPRODUCT(P$562:V$562,P622:V622)/W$562","v":7.5899994041029215},null,{"$f":"($J$99)*60/Y618","v":3.6209199191180823},4.4829425165951706,7.2515998985591805,8.4712233722739576,6.7823651371176616,9.9032211374707337,7.3307408646419381,{"$f":"SUMPRODUCT(Y$562:AE$562,Y622:AE622)/AF$562","v":7.7739865702202513},null,{"$f":"($K$99)*60/AH618","v":4.6347774964711457},5.738166421241818,9.2820478701557505,10.843165916510666,8.6814273755106068,12.676123055962538,9.3833483067416807,{"$f":"SUMPRODUCT(AH$562:AN$562,AH622:AN622)/AO$562","v":9.584239269874276},null,{"$f":"($L$99)*60/AQ618","v":4.4337794927976519},5.4893173672593925,8.8795100798683855,10.37292657829464,8.3049369025930559,12.126393229555999,8.9764173852758429,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ622:AW622)/AX$562","v":9.075905255044793},null,{"$f":"($M$99)*60/AZ618","v":8.6902078058833983},10.759062039828409,17.403839756542034,20.330936093457495,16.277676329082389,23.76773072992976,17.593778075140651,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ622:BF622)/BG$562","v":18.209238722493801},null,{"$f":"($L$99)*60/BI618","v":4.4337794927976519},5.4893173672593925,8.8795100798683855,10.37292657829464,8.3049369025930559,12.126393229555999,8.9764173852758429,{"$f":"SUMPRODUCT(BI$562:BO$562,BI622:BO622)/BP$562","v":9.0735602315837607}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":623},{"$f":"60*$I$99/(1/($P$152/$P618+$Q$152/$Q618+$R$152/$R618+$S$152/$S618+$T$152/$T618+$U$152/$U618+$V$152/$V618))","v":7.7353597014607356},7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,{"$f":"SUMPRODUCT(P$463:V$463,P623:V623)/W$463","v":7.7353597014607347},null,{"$f":"60*$J$99/(1/($Y$152/$Y618+$Z$152/$Z618+$AA$152/$AA618+$AB$152/$AB618+$AC$152/$AC618+$AD$152/$AD618+$AE$152/$AE618))","v":7.7353597014607356},7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,7.7353597014607356,{"$f":"SUMPRODUCT(Y$463:AE$463,Y623:AE623)/AF$463","v":7.7353597014607356},null,{"$f":"AH622","v":4.6347774964711457},{"$f":"AI622","v":5.738166421241818},9.2820478701557505,10.843165916510666,8.6814273755106068,12.676123055962538,9.3833483067416807,{"$f":"SUMPRODUCT(AH$463:AN$463,AH623:AN623)/AO$463","v":9.410927669373125},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ618+$BA$152/$BA618+$BB$152/$BB618+$BC$152/$BC618+$BD$152/$BD618+$BE$152/$BE618+$BF$152/$BF618))","v":18.30843378452494},18.30843378452494,18.30843378452494,18.30843378452494,18.30843378452494,18.30843378452494,18.30843378452494,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ623:BF623)/BG$463","v":18.30843378452494}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":624},{"$f":"($I$93)*60/P619","v":18.389355683366585},27.404075273499014,48.474096679902026,44.949942291221866,39.949675849846535,56.338733799848718,36.517945703161345,{"$f":"SUMPRODUCT(P$562:V$562,P624:V624)/W$562","v":44.012330411061598},null,{"$f":"($J$93)*60/Y619","v":18.389355683366585},27.404075273499014,48.474096679902026,44.949942291221866,39.949675849846535,56.338733799848718,36.517945703161345,{"$f":"SUMPRODUCT(Y$562:AE$562,Y624:AE624)/AF$562","v":44.198039970258215},null,{"$f":"($K$93)*60/AH619","v":27.584033525049882},41.106112910248527,72.711145019853035,67.42491343683281,59.924513774769807,84.508100699773081,54.776918554742025,{"$f":"SUMPRODUCT(AH$562:AN$562,AH624:AN624)/AO$562","v":63.615748759934348},null,{"$f":"($L$93)*60/AQ619","v":6.6115702479338836},9.8526545394023781,17.428011123532634,16.160963234171362,14.363205150377143,20.255603437714068,13.129386775909344,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ624:AW624)/AX$562","v":15.188618613105971},null,{"$f":"($M$93)*60/AZ619","v":16.961695569840352},25.276556186387499,44.710803633604215,41.460247447126328,36.848177366638843,51.964868587955053,33.682870053638879,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ624:BF624)/BG$562","v":40.416116027571839},null,{"$f":"($L$93)*60/BI619","v":6.6115702479338836},9.8526545394023781,17.428011123532634,16.160963234171362,14.363205150377143,20.255603437714068,13.129386775909344,{"$f":"SUMPRODUCT(BI$562:BO$562,BI624:BO624)/BP$562","v":15.09765880823702}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":625},{"$f":"60*$I$93/(1/($P$152/$P619+$Q$152/$Q619+$R$152/$R619+$S$152/$S619+$T$152/$T619+$U$152/$U619+$V$152/$V619))","v":44.080592267294421},44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,{"$f":"SUMPRODUCT(P$562:V$562,P625:V625)/W$562","v":44.080592267294421},null,{"$f":"60*$J$93/(1/($Y$152/$Y619+$Z$152/$Z619+$AA$152/$AA619+$AB$152/$AB619+$AC$152/$AC619+$AD$152/$AD619+$AE$152/$AE619))","v":44.080592267294421},44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,44.080592267294421,{"$f":"SUMPRODUCT(Y$562:AE$562,Y625:AE625)/AF$562","v":44.080592267294421},null,{"$f":"AH624","v":27.584033525049882},{"$f":"AI624","v":41.106112910248527},72.711145019853035,67.42491343683281,59.924513774769807,84.508100699773081,54.776918554742025,{"$f":"SUMPRODUCT(AH$562:AN$562,AH625:AN625)/AO$562","v":63.615748759934348},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ619+$BA$152/$BA619+$BB$152/$BB619+$BC$152/$BC619+$BD$152/$BD619+$BE$152/$BE619+$BF$152/$BF619))","v":40.78507951381215},40.78507951381215,40.78507951381215,40.78507951381215,40.78507951381215,40.78507951381215,40.78507951381215,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ625:BF625)/BG$562","v":40.785079513812143}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626},{"$f":"SUM(P622:P625)","v":73.826227571239826},83.702969758849349,107.54164854721637,105.23711763225097,98.547992955719351,118.05790690607461,95.664638536558442,103.41828178391967,null,{"$f":"SUM(Y622:Y625)","v":73.826227571239826},83.702969758849349,107.54164854721637,105.23711763225097,98.547992955719351,118.05790690607461,95.664638536558442,103.78797850923362,null,{"$f":"SUM(AH622:AH625)","v":64.437622043042055},93.688558662980682,163.98638578001757,156.53615870668693,137.21188230056083,194.36844751147123,128.32053372296741,146.22666445911608,null,{"$f":"AQ622+AQ624","v":11.045349740731535},15.341971906661771,26.30752120340102,26.533889812466001,22.668142052970197,32.381996667270066,22.105804161185187,24.264523868150764,null,{"$f":"SUM(AZ622:AZ625)","v":84.745416674060834},95.129131524553003,121.20815668848334,120.88469683892092,112.21936699405833,134.82611261622191,110.37016142711661,117.71886804840273,null,{"$f":"BI622+BI624","v":11.045349740731535},15.341971906661771,26.30752120340102,26.533889812466001,22.668142052970197,32.381996667270066,22.105804161185187,24.17121903982078]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":627}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":628},{"$f":"P626/P577","v":0.92298275838316846},0.93413531935823935,0.86401817969445494,0.90512524649503634,0.91508500411604032,0.87732746306854725,0.92821496908220558,0.89458450838544723,null,{"$f":"Y626/Y577","v":0.92298275838316846},0.93413531935823935,0.86401817969445494,0.90512524649503634,0.91508500411604032,0.87732746306854725,0.92821496908220558,0.89551659187198551,null,{"$f":"AH626/AH577","v":0.9994918802310605},1.0084653596720763,0.83595016990977322,0.91537424020039826,0.93926548203864313,0.86342833615276249,0.9725995965666947,0.9056532263665148,null,{"$f":"AQ626/AQ577","v":0.99858340272081791},0.99945931937887011,0.86308432515388911,0.92645345965169712,0.9452933910709278,0.88073873929800861,0.96846360516686147,0.91061253639646034,null,{"$f":"AZ626/AZ577","v":0.92865617322284277},0.9367952123463158,0.87743823412573918,0.91255890505098847,0.92085794228457418,0.88707628986228826,0.93166748672478161,0.90181780189555061,null,{"$f":"BI626/BI577","v":0.99858340272081791},0.99945931937887011,0.86308432515388911,0.92645345965169712,0.9452933910709278,0.88073873929800861,0.96846360516686147,0.91197906403187634]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":629}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":630}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$618,G$567,G$483)","v":20.664570205824649},16.460554748895433,10.147411467788764,8.6443363661935688,10.819835609621128,7.2683343846116619,9.9740274235164446,null,{"$f":"ROW()","v":631},{"$f":"G631","v":20.664570205824649},16.460554748895433,10.147411467788764,8.6443363661935688,10.819835609621128,7.2683343846116619,9.9740274235164446,null,null,{"$f":"G631","v":20.664570205824649},16.460554748895433,10.147411467788764,8.6443363661935688,10.819835609621128,7.2683343846116619,9.9740274235164446,null,null,{"$f":"P631","v":20.664570205824649},16.460554748895433,10.147411467788764,8.6443363661935688,10.819835609621128,7.2683343846116619,9.9740274235164446,null,null,{"$f":"G631*$AU$198","v":20.251278801708157},16.131343653917526,9.9444632384329879,8.4714496388696965,10.603438897428706,7.1229676969194289,9.7745468750461146,null,null,{"$f":"G631","v":20.664570205824649},16.460554748895433,10.147411467788764,8.6443363661935688,10.819835609621128,7.2683343846116619,9.9740274235164446,null,null,{"$f":"Y631*$AU$198","v":20.251278801708157},{"$f":"Z631*$AU$198","v":16.131343653917526},{"$f":"AA631*$AU$198","v":9.9444632384329879},{"$f":"AB631*$AU$198","v":8.4714496388696965},{"$f":"AC631*$AU$198","v":10.603438897428706},{"$f":"AD631*$AU$198","v":7.1229676969194289},{"$f":"AE631*$AU$198","v":9.7745468750461146}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$619,G$568,G$507)","v":55},37.450083229707609,19.113392866294394,21.396813832868379,24.443933867760688,16.516216210415951,27.28487249695398,null,{"$f":"ROW()","v":632},55,37.450083229707609,19.113392866294394,21.396813832868379,24.443933867760688,16.516216210415951,27.28487249695398,null,null,55,37.450083229707609,19.113392866294394,21.396813832868379,24.443933867760688,16.516216210415951,27.28487249695398,null,null,55,37.450083229707609,19.113392866294394,21.396813832868379,24.443933867760688,16.516216210415951,27.28487249695398,null,null,{"$f":"G632*$AV$198","v":54.45},37.075582397410535,18.922258937631451,21.182845694539694,24.199494529083079,16.351054048311791,27.012023771984442,null,null,55,37.450083229707609,19.113392866294394,21.396813832868379,24.443933867760688,16.516216210415951,27.28487249695398,null,null,{"$f":"Y632*$AV$198","v":54.45},{"$f":"Z632*$AV$198","v":37.075582397410535},{"$f":"AA632*$AV$198","v":18.922258937631451},{"$f":"AB632*$AV$198","v":21.182845694539694},{"$f":"AC632*$AV$198","v":24.199494529083079},{"$f":"AD632*$AV$198","v":16.351054048311791},{"$f":"AE632*$AV$198","v":27.012023771984442}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":634},{"$f":"P628^Elasticities!$G$67","v":1.0834438573389455},{"$f":"Q628^Elasticities!$G$67","v":1.070508714612151},{"$f":"R628^Elasticities!$G$67","v":1.1573830545482651},{"$f":"S628^Elasticities!$G$67","v":1.1048194753956451},{"$f":"T628^Elasticities!$G$67","v":1.0927946535043336},{"$f":"U628^Elasticities!$G$67","v":1.1398252557857842},{"$f":"V628^Elasticities!$G$67","v":1.0773366443214911},null,null,{"$f":"Y628^Elasticities!$H$67","v":1.0834438573389455},{"$f":"Z628^Elasticities!$H$67","v":1.070508714612151},{"$f":"AA628^Elasticities!$H$67","v":1.1573830545482651},{"$f":"AB628^Elasticities!$H$67","v":1.1048194753956451},{"$f":"AC628^Elasticities!$H$67","v":1.0927946535043336},{"$f":"AD628^Elasticities!$H$67","v":1.1398252557857842},{"$f":"AE628^Elasticities!$H$67","v":1.0773366443214911},null,null,{"$f":"AH628^Elasticities!$I$67","v":1.000508378085895},{"$f":"AI628^Elasticities!$I$67","v":0.99160570108741364},{"$f":"AJ628^Elasticities!$I$67","v":1.1962435513446132},{"$f":"AK628^Elasticities!$I$67","v":1.0924493568674982},{"$f":"AL628^Elasticities!$I$67","v":1.0646617161204888},{"$f":"AM628^Elasticities!$I$67","v":1.1581737106935468},{"$f":"AN628^Elasticities!$I$67","v":1.0281723368280529},null,null,{"$f":"AQ628^Elasticities!$G$69","v":1.0008509227905731},{"$f":"AR628^Elasticities!$G$69","v":1.0003245487595194},{"$f":"AS628^Elasticities!$G$69","v":1.0923657188366716},{"$f":"AT628^Elasticities!$G$69","v":1.0469015324817246},{"$f":"AU628^Elasticities!$G$69","v":1.0343321572564201},{"$f":"AV628^Elasticities!$G$69","v":1.0791746632795942},{"$f":"AW628^Elasticities!$G$69","v":1.0194126470764993},null,null,{"$f":"AZ628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0249791158637622},{"$f":"BA628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0220020787547801},{"$f":"BB628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0445465887111973},{"$f":"BC628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0309707980341369},{"$f":"BD628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0278643117322066},{"$f":"BE628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0407498162134028},{"$f":"BF628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0238736195768394},null,null,{"$f":"BI628^Elasticities!$G$69","v":1.0008509227905731},{"$f":"BJ628^Elasticities!$G$69","v":1.0003245487595194},{"$f":"BK628^Elasticities!$G$69","v":1.0923657188366716},{"$f":"BL628^Elasticities!$G$69","v":1.0469015324817246},{"$f":"BM628^Elasticities!$G$69","v":1.0343321572564201},{"$f":"BN628^Elasticities!$G$69","v":1.0791746632795942},{"$f":"BO628^Elasticities!$G$69","v":1.0194126470764993}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":635},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":636},{"$f":"(P582/P631)^Elasticities!$G$67","v":1.0011724167077243},{"$f":"(Q582/Q631)^Elasticities!$G$67","v":1.0082546741629002},{"$f":"(R582/R631)^Elasticities!$G$67","v":1.0097082979136347},{"$f":"(S582/S631)^Elasticities!$G$67","v":1.0122466333961433},{"$f":"(T582/T631)^Elasticities!$G$67","v":1.0111326171149408},{"$f":"(U582/U631)^Elasticities!$G$67","v":1.0214281414540232},{"$f":"(V582/V631)^Elasticities!$G$67","v":1.0130445176940277},null,null,{"$f":"(Y582/Y631)^Elasticities!$H$67","v":1.0011724167077243},{"$f":"(Z582/Z631)^Elasticities!$H$67","v":1.0082546741629002},{"$f":"(AA582/AA631)^Elasticities!$H$67","v":1.0097082979136347},{"$f":"(AB582/AB631)^Elasticities!$H$67","v":1.0122466333961433},{"$f":"(AC582/AC631)^Elasticities!$H$67","v":1.0111326171149408},{"$f":"(AD582/AD631)^Elasticities!$H$67","v":1.0214281414540232},{"$f":"(AE582/AE631)^Elasticities!$H$67","v":1.0130445176940277},null,null,{"$f":"(AH582/AH631)^Elasticities!$I$67","v":1.0011724167077243},{"$f":"(AI582/AI631)^Elasticities!$I$67","v":1.0082546741629002},{"$f":"(AJ582/AJ631)^Elasticities!$I$67","v":1.0097082979136347},{"$f":"(AK582/AK631)^Elasticities!$I$67","v":1.0122466333961433},{"$f":"(AL582/AL631)^Elasticities!$I$67","v":1.0111326171149408},{"$f":"(AM582/AM631)^Elasticities!$I$67","v":1.0214281414540232},{"$f":"(AN582/AN631)^Elasticities!$I$67","v":1.0130445176940277},null,null,{"$f":"(AQ582/AQ631)^Elasticities!$G$69","v":1.000703285167506},{"$f":"(AR582/AR631)^Elasticities!$G$69","v":1.0049446590834932},{"$f":"(AS582/AS631)^Elasticities!$G$69","v":1.0058137195668204},{"$f":"(AT582/AT631)^Elasticities!$G$69","v":1.007330084542605},{"$f":"(AU582/AU631)^Elasticities!$G$69","v":1.0066647748015596},{"$f":"(AV582/AV631)^Elasticities!$G$69","v":1.012802329047759},{"$f":"(AW582/AW631)^Elasticities!$G$69","v":1.0078064148193573},null,null,{"$f":"(AZ582/AZ631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0003906529396498},{"$f":"(BA582/BA631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0027440215130583},{"$f":"(BB582/BB631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0032256830853996},{"$f":"(BC582/BC631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0040656591465336},{"$f":"(BD582/BD631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0036971863389783},{"$f":"(BE582/BE631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0070922942644325},{"$f":"(BF582/BF631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0043294017950746},null,null,{"$f":"(BI582/BI631)^Elasticities!$G$69","v":1.000703285167506},{"$f":"(BJ582/BJ631)^Elasticities!$G$69","v":1.0049446590834932},{"$f":"(BK582/BK631)^Elasticities!$G$69","v":1.0058137195668204},{"$f":"(BL582/BL631)^Elasticities!$G$69","v":1.007330084542605},{"$f":"(BM582/BM631)^Elasticities!$G$69","v":1.0066647748015596},{"$f":"(BN582/BN631)^Elasticities!$G$69","v":1.012802329047759},{"$f":"(BO582/BO631)^Elasticities!$G$69","v":1.0078064148193573}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":637},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P638+$J$85*$J$93*Y638+$K$85*$K$93*AH638+$L$85*$L$93*AQ638+$M$85*$M$93*AZ638+$N$85*$N$93*BI638)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.99325361773749077,1.045009823063447,1.0248290437583847,1.0170534019445612,1.0426028507006426,1.0071251930508569,null,{"$f":"ROW()","v":638},{"$f":"(P583/P632)^Elasticities!$G$67","v":1},{"$f":"(Q583/Q632)^Elasticities!$G$67","v":0.99280736744189202},{"$f":"(R583/R632)^Elasticities!$G$67","v":1.048023396077989},{"$f":"(S583/S632)^Elasticities!$G$67","v":1.0264837511004703},{"$f":"(T583/T632)^Elasticities!$G$67","v":1.0181878457451508},{"$f":"(U583/U632)^Elasticities!$G$67","v":1.0454537086235187},{"$f":"(V583/V632)^Elasticities!$G$67","v":1.0075980715810904},null,null,{"$f":"(Y583/Y632)^Elasticities!$H$67","v":1},{"$f":"(Z583/Z632)^Elasticities!$H$67","v":0.99280736744189202},{"$f":"(AA583/AA632)^Elasticities!$H$67","v":1.048023396077989},{"$f":"(AB583/AB632)^Elasticities!$H$67","v":1.0264837511004703},{"$f":"(AC583/AC632)^Elasticities!$H$67","v":1.0181878457451508},{"$f":"(AD583/AD632)^Elasticities!$H$67","v":1.0454537086235187},{"$f":"(AE583/AE632)^Elasticities!$H$67","v":1.0075980715810904},null,null,{"$f":"(AH583/AH632)^Elasticities!$I$67","v":1},{"$f":"(AI583/AI632)^Elasticities!$I$67","v":0.99280736744189202},{"$f":"(AJ583/AJ632)^Elasticities!$I$67","v":1.048023396077989},{"$f":"(AK583/AK632)^Elasticities!$I$67","v":1.0264837511004703},{"$f":"(AL583/AL632)^Elasticities!$I$67","v":1.0181878457451508},{"$f":"(AM583/AM632)^Elasticities!$I$67","v":1.0454537086235187},{"$f":"(AN583/AN632)^Elasticities!$I$67","v":1.0075980715810904},null,null,{"$f":"(AQ583/AQ632)^Elasticities!$G$69","v":1},{"$f":"(AR583/AR632)^Elasticities!$G$69","v":0.99567819146140224},{"$f":"(AS583/AS632)^Elasticities!$G$69","v":1.0285433171976599},{"$f":"(AT583/AT632)^Elasticities!$G$69","v":1.0158071079573674},{"$f":"(AU583/AU632)^Elasticities!$G$69","v":1.0108733450111673},{"$f":"(AV583/AV632)^Elasticities!$G$69","v":1.0270294201998802},{"$f":"(AW583/AW632)^Elasticities!$G$69","v":1.0045519397181841},null,null,{"$f":"(AZ583/AZ632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA583/BA632)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99759668451577099},{"$f":"(BB583/BB632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0157581742791415},{"$f":"(BC583/BC632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0087511116853447},{"$f":"(BD583/BD632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0060262268895579},{"$f":"(BE583/BE632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0149273031074346},{"$f":"(BF583/BF632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0025263029459928},null,null,{"$f":"(BI583/BI632)^Elasticities!$G$69","v":1},{"$f":"(BJ583/BJ632)^Elasticities!$G$69","v":0.99567819146140224},{"$f":"(BK583/BK632)^Elasticities!$G$69","v":1.0285433171976599},{"$f":"(BL583/BL632)^Elasticities!$G$69","v":1.0158071079573674},{"$f":"(BM583/BM632)^Elasticities!$G$69","v":1.0108733450111673},{"$f":"(BN583/BN632)^Elasticities!$G$69","v":1.0270294201998802},{"$f":"(BO583/BO632)^Elasticities!$G$69","v":1.0045519397181841}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 4 • (Rebound Effect 3)",null,null,null,null,null,null,"Note: This section duplicates architecture from preceding section, so we have largely dispensed with explanatory notes.",null,null,null,null,null,{"$f":"ROW()","v":640},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":641},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":642}]
[null,"Period entries with second rebound effect but before third",null,null,null,null,{"$f":"P643+Y643+AH643+AQ643+AZ643+BI643","v":52955.685207191462},36309.456403096461,74886.460049592904,28860.771284398761,95837.761971400178,155244.53447691511,70901.873162865726,{"$f":"SUM(G643:M643)","v":514996.54255546071},{"$f":"ROW()","v":643},{"$f":"P596","v":6382.4530499865987},22812.675242300797,38266.033097045329,12312.931179158035,34800.913969244648,35318.097302637529,12584.403288318479,{"$f":"SUM(P643:V643)","v":162477.50712869142},null,{"$f":"Y596","v":16385.487589285662},3496.9118589307186,8680.2599594356125,6457.3605250241662,25676.94807981417,52377.811792750937,21825.102881976371,{"$f":"SUM(Y643:AE643)","v":134899.88268721764},null,{"$f":"AH596","v":15094.136537625505},5001.2877109339906,6361.6921677449163,2514.2808606302801,11188.607219223262,21406.173456812885,14740.740535443869,{"$f":"SUM(AH643:AN643)","v":76306.918488414711},null,{"$f":"AQ596","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ643:AW643)","v":36892.383966688518},null,{"$f":"AZ596","v":3704.1721665955338},3227.2907165225724,6084.7525264508395,2270.063406852777,7561.1791712777458,11832.496084829172,4764.6379756589849,{"$f":"SUM(AZ643:BF643)","v":39444.592048187624},null,{"$f":"BI596","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI643:BO643)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O596,\".\")","v":"Above row repeats figures in Row 596."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":644},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O645, \" figures are set equal to Row \",$O643, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 645 figures are set equal to Row 643 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O645, \" figures are set equal to Row \",$O643, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 645 figures are set equal to Row 643 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P645+Y645+AH645+AQ645+AZ645+BI645","v":54955.730471766423},38193.536372096802,83794.507082304583,31131.012737702218,102383.94582221008,171374.7033257611,74092.01916474766,{"$f":"SUM(G645:M645)","v":555925.45497658895},{"$f":"ROW()","v":645},{"$f":"P643*P634","v":6915.029551762198},24421.167650499865,44288.458271303331,13603.566165940061,38030.252722654826,40256.459291846033,13557.638809425369,{"$f":"SUM(P645:V645)","v":181072.57246343169},null,{"$f":"Y643*Y634","v":17752.755878115076},3743.4746192159114,10046.385786124589,7134.2176676977469,28059.63157992929,59701.552724172005,23512.983100839727,{"$f":"SUM(Y645:AE645)","v":149951.00135609435},null,{"$f":"AH643*AH634","v":15101.810065866741},4959.3054069405662,7610.1332313043895,2746.7245091798095,11912.081763016327,24792.067344226685,15156.021642903326,{"$f":"SUM(AH645:AN645)","v":82278.143963437848},null,{"$f":"AQ643","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ645:AW645)","v":36892.383966688518},null,{"$f":"AZ643*AZ634","v":3796.6991123242469},3298.297821032073,6355.8074946560637,2340.3690821510991,7771.8662247692964,12314.66812563177,4878.3871301112295,{"$f":"SUM(AZ645:BF645)","v":40756.094990675781},null,{"$f":"BI643","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI645:BO645)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,{"$f":"P646+Y646+AH646+AQ646+AZ646+BI646","v":83471.879025253365},55692.52126295842,122402.77417421441,45297.299222288515,149902.45517112469,253023.76090750747,110703.55612901239,{"$f":"SUM(G646:M646)","v":820494.24589235929},{"$f":"ROW()","v":646},{"$f":"P645*$I$99","v":8643.786939702748},30526.45956312483,55360.572839129163,17004.457707425077,47537.815903318537,50320.574114807539,16947.048511781712,{"$f":"SUM(P646:V646)","v":226340.71557928956},null,{"$f":"Y645*$J$99","v":22190.944847643845},4679.3432740198896,12557.982232655737,8917.7720846221837,35074.539474911609,74626.940905215,29391.228876049659,{"$f":"SUM(Y646:AE646)","v":187438.75169511794},null,{"$f":"AH645*$K$99","v":24162.896105386786},7934.8886511049059,12176.213170087023,4394.759214687695,19059.330820826126,39667.307750762702,24249.634628645323,{"$f":"SUM(AH646:AN646)","v":131645.03034150056},null,{"$f":"AQ645*$L$99","v":4455.3103168231337},1771.0156370266441,11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ646:AW646)","v":55338.575950032769},null,{"$f":"AZ645*$M$99","v":11390.09733697274},9894.8934630962194,19067.422483968192,7021.1072464532972,23315.59867430789,36944.004376895311,14635.161390333687,{"$f":"SUM(AZ646:BF646)","v":122268.28497202734},null,{"$f":"BI645*$L$99","v":12628.843478724113},885.92067458592396,11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI646:BO646)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":647}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P649+Y649+AH649+AQ649+AZ649+BI649","v":58526.011758944165},11852.162051995643,70804.543408149286,23254.445871619126,90201.155862315733,186219.75315669729,74138.470445739309,{"$f":"SUM(G649:M649)","v":514996.54255546059},{"$f":"ROW()","v":649},{"$f":"P$152*$W643","v":18954.855908941692},3708.6577810476556,20650.67957891573,6802.7890001247015,28653.006937775834,60723.714372440678,22983.803549445125,162477.50712869139,null,{"$f":"Y$152*$AF643","v":15737.611215588464},3079.1800565607005,17145.599423805546,5648.1383440715272,23789.676139482286,50416.959799156255,19082.717708552864,{"$f":"SUM(Y649:AE649)","v":134899.88268721764},null,{"$f":"AH$152*$AO643","v":8902.0730953093662},1741.7564560224289,9698.5099735102285,3194.9029431824265,13456.771361694211,28518.652241885411,10794.252416810645,{"$f":"SUM(AH649:AN649)","v":76306.918488414725},null,{"$f":"AQ643","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ649:AW649)","v":36892.383966688518},null,{"$f":"AZ$152*$BG643","v":3542.0356754064806},1551.2768839564799,7816.0321330015859,2302.4802715069623,7691.5878915230787,12250.470903330375,4290.7082894626601,{"$f":"SUM(AZ649:BF649)","v":39444.592048187616},null,{"$f":"BI643","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI649:BO649)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":651},{"$f":"P649*$W645/$W643","v":21124.182545386113},4133.1025855100461,23014.088168589464,7581.3478797582829,31932.257988954851,67673.362087242713,25614.231207990219,{"$f":"SUM(P651:V651)","v":181072.57246343169},null,{"$f":"Y649*$AF645/$AF643","v":17493.496018836788},3422.7319078368837,19058.577007152056,6278.3153225938995,26443.950046448554,56042.106609850925,21211.824443375244,{"$f":"SUM(Y651:AE651)","v":149951.00135609435},null,{"$f":"AH649*$AO645/$AO643","v":9598.6847093047581},1878.0536716289821,10457.444955695137,3444.9128534562078,14509.800596241403,30750.314929272354,11638.932247839015,{"$f":"SUM(AH651:AN651)","v":82278.143963437848},null,{"$f":"AQ649*$AX645/$AX643","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ651:AW651)","v":36892.383966688518},null,{"$f":"AZ649*$BG645/$BG643","v":3659.8056907489786},1602.8556706108664,8075.9093077608204,2379.0360043540222,7947.3273890900791,12657.789823423544,4433.3711046874705,{"$f":"SUM(AZ651:BF651)","v":40756.094990675774},null,{"$f":"BI649*$AX645/$AX643","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI651:BO651)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":652}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P653+Y653+AH653+AQ653+AZ653+BI653","v":87422.526159073619},19250.948236832061,110980.90890835231,35942.949808357422,138714.30088883115,280416.90954834357,109565.3365164632,{"$f":"SUM(G653:M653)","v":782293.88006625324},{"$f":"ROW()","v":653},{"$f":"P651*$I$99","v":26405.22818173264},5166.3782318875574,28767.610210736828,9476.6848496978528,39915.32248619356,84591.702609053391,32017.789009987773,{"$f":"SUM(P653:V653)","v":226340.71557928959},null,{"$f":"Y651*$J$99","v":21866.870023545984},4278.4148847961042,23823.22125894007,7847.8941532423742,33054.937558060694,70052.633262313655,26514.780554219054,{"$f":"SUM(Y653:AE653)","v":187438.75169511794},null,{"$f":"AH651*$K$99","v":15357.895534887613},3004.8858746063715,16731.911929112219,5511.8605655299325,23215.680953986244,49200.503886835766,18622.291596542425,{"$f":"SUM(AH653:AN653)","v":131645.03034150056},null,{"$f":"AQ651*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR651*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS651*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT651*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU651*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV651*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW651*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ653:AW653)","v":41503.931962524584},null,{"$f":"AZ651*$M$99","v":10979.417072246935},4808.5670118325988,24227.727923282462,7137.1080130620667,23841.982167270238,37973.369470270627,13300.113314062412,{"$f":"SUM(AZ653:BF653)","v":122268.28497202734},null,{"$f":"BI651*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ651*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK651*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL651*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM651*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN651*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO651*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI653:BO653)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O657, \" figures are set equal to Row \",$O656, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 657 figures are set equal to Row 656 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O657, \" figures are set equal to Row \",$O656, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 657 figures are set equal to Row 656 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P656+Y656+AH656+AQ656+AZ656+BI656","v":250511.82332541567},29837.744104742113,205424.29153513728,72636.721309028988,265858.88100298826,457280.75844456832,226727.62708980468,{"$f":"SUM(G656:M656)","v":1508277.8468116855},{"$f":"ROW()","v":656},{"$f":"P609","v":8472.2958754549491},{"$f":"Q609","v":2154.669050818924},18210.05564627186,4776.2550681336443,17360.141949905777,33249.604326832727,11627.110912291702,{"$f":"SUM(P656:V656)","v":95850.132829709575},null,{"$f":"Y609","v":5957.2589961661515},{"$f":"Z609","v":1515.0464260742719},12804.323575823411,3358.4035414834257,12206.710356446818,23379.318594011318,8175.5538404106928,{"$f":"SUM(Y656:AE656)","v":67396.615330416098},null,{"$f":"AH609","v":0},{"$f":"AI609","v":0},0,0,0,0,0,{"$f":"SUM(AH656:AN656)","v":0},null,{"$f":"AQ609","v":98921.343502801625},{"$f":"AR609","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ656:AW656)","v":553825.51435896545},null,{"$f":"AZ609","v":5072.0979708692039},{"$f":"BA609","v":1443.4525639152246},8862.3159698835643,2588.3663310400902,9528.0246491063263,17785.333806666233,6407.5033309081618,{"$f":"SUM(AZ656:BF656)","v":51687.094622388802},null,{"$f":"BI609","v":132088.82698012373},{"$f":"BJ609","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI656:BO656)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250530.72220661468,29871.997275162881,205753.97539095336,72746.866906072129,266223.26433157898,458620.34983625315,227013.68395698298,{"$f":"SUM(G657:M657)","v":1510760.8599036182},{"$f":"ROW()","v":657},{"$f":"P656*P636","v":8482.2289366921159},2172.4551417623197,18386.844291509733,4834.7481129595481,17553.405763295101,33962.081551638395,11778.780966317514,{"$f":"SUM(P657:V657)","v":97170.544764174731},null,{"$f":"Y656*Y636","v":5964.2433861454974},1527.5526406631814,12928.631763680081,3399.5326784522827,12342.602989078123,23880.293939942465,8282.1999971404057,{"$f":"SUM(Y657:AE657)","v":68325.057395102034},null,{"$f":"AH656*AH636","v":0},0,0,0,0,0,0,{"$f":"SUM(AH657:AN657)","v":0},null,{"$f":"AQ656","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ657:AW657)","v":553825.51435896545},null,{"$f":"AZ656*AZ636","v":5074.0794008517159},1447.4134288036871,8890.9029926050844,2598.8897462884629,9563.2515316764511,17911.472627614268,6435.2439873309422,{"$f":"SUM(AZ657:BF657)","v":51921.253715170613},null,{"$f":"BI656","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI657:BO657)","v":739518.48967020516}]
[null,"Difference (shows reb. eff. for intra-cordon trips, which are unaff'd by toll)",null,null,null,null,18.8988811990248,34.253170420767674,329.68385581605617,110.14559704313115,364.38332859076036,1339.5913916848367,286.05686717830486,{"$f":"W658+AF658+AO658+AX658+BG658+BP658","v":2483.0130919328876},{"$f":"ROW()","v":658},{"$f":"P657-P656","v":9.9330612371668394},17.78609094339572,176.78864523787342,58.49304482590378,193.26381338932333,712.47722480566881,151.67005402581162,1320.4119344651554,null,{"$f":"Y657-Y656","v":6.9843899793459059},12.506214588909415,124.30818785666997,41.129136968856983,135.89263263130488,500.97534593114688,106.64615672971286,928.4420646859362,null,{"$f":"AH657-AH656","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ657-AQ656","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ657-AZ656","v":1.9814299825120543},3.9608648884625381,28.587022721520043,10.523415248372658,35.226882570124872,126.13882094803557,27.740656422780376,234.15909278181061,null,{"$f":"BI657-BI656","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":659}]
[null,"Total Cordon VMT before third rebound effect",null,null,null,null,{"$f":"P660+Y660+AH660+AQ660+AZ660+BI660","v":402891.2232110952},100757.24056263338,415733.64672218519,148464.82592579507,536553.58439294924,948029.15998555161,417857.93945108389,2970287.6202512938,{"$f":"ROW()","v":660},{"$f":"P613","v":40143.932074115306},{"$f":"Q613","v":35306.335330004484},91855.946491223178,28670.905292237065,96677.543083681376,153301.86892068048,56087.369459496207,{"$f":"SUM(P660:V660)","v":502043.9006514381},null,{"$f":"Y613","v":46111.132502258806},{"$f":"Z613","v":9735.1613204385467},45086.647804874854,18490.277127853042,74039.990630567379,151872.78308389531,59310.329578572229,{"$f":"SUM(Y660:AE660)","v":404646.32204846019},null,{"$f":"AH613","v":38393.935412695799},{"$f":"AI613","v":10788.870667130272},25696.323426008239,9134.6940861003313,39432.605729467963,79879.721117917274,40855.988723607225,{"$f":"SUM(AH660:AN660)","v":244182.13916292711},null,{"$f":"AQ613","v":101102.94289294499},{"$f":"AR613","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ660:AW660)","v":632517.43270702334},null,{"$f":"AZ613","v":26810.721496875245},{"$f":"BA613","v":15779.155365352382},50564.669948240844,16305.997366119309,55286.325837508804,90034.234771144867,33573.542126273096,{"$f":"SUM(AZ660:BF660)","v":288354.64691151457},null,{"$f":"BI613","v":150328.55883220508},{"$f":"BJ613","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI660:BO660)","v":898543.17876993015}]
[null,"Total Cordon VMT with third rebound effect",null,null,null,null,411949.1894909587,104588.97004540535,435449.1001475447,154007.7664259061,555591.5874346483,992071.4365872629,430204.98239554605,3083863.0325272721,{"$f":"ROW()","v":661},{"$f":"P646+P653+P657","v":43531.244058127508},37865.292936774713,102515.02734137574,31315.890670082477,105006.5441528072,168874.35827549934,60743.618488086999,{"$f":"SUM(P661:V661)","v":549851.97592275392},null,{"$f":"Y646+Y653+Y657","v":50022.058257335324},10485.310799479175,49309.835255275888,20165.19891631684,80472.080022050417,168559.86810747112,64188.209427409121,{"$f":"SUM(Y661:AE661)","v":443202.56078533788},null,{"$f":"AH646+AH653+AH657","v":39520.791640274401},10939.774525711277,28908.125099199242,9906.6197802176284,42275.011774812374,88867.811637598468,42871.926225187752,{"$f":"SUM(AH661:AN661)","v":263290.06068300118},null,{"$f":"AQ660","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ661:AW661)","v":632517.43270702334},null,{"$f":"AZ646+AZ653+AZ657","v":27443.59381007139},16150.873903732507,52186.053399855737,16757.105005803827,56720.832373254583,92828.846474780206,34370.51869172704,{"$f":"SUM(AZ661:BF661)","v":296457.82365922531},null,{"$f":"BI660","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI661:BO661)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with third rebound effect",null,null,null,null,{"$f":"G661/G$135","v":68658.198248493121},104588.97004540535,145149.70004918156,154007.7664259061,138897.89685866208,165345.23943121047,143401.66079851534,null,{"$f":"ROW()","v":662}]
[null,"Factor Change in VMT (ratio of previous row to preceding one)",null,null,null,null,{"$f":"G661/G660","v":1.0224824115245557},1.0380293213805321,1.0474232807010071,1.0373350419235428,1.0354820163269218,1.0464566686982313,1.0295484225109657,null,{"$f":"ROW()","v":663},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":664}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":665}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G662*$G$481/V_sub_k)^KSE)","v":20.600876844206045},16.108764274433607,9.3353176672084679,8.090088215645741,10.291995304022478,6.6983823648655694,9.5966747834952155,null,{"$f":"ROW()","v":666},{"$f":"G666","v":20.600876844206045},16.108764274433607,9.3353176672084679,8.090088215645741,10.291995304022478,6.6983823648655694,9.5966747834952155,null,null,{"$f":"G666","v":20.600876844206045},16.108764274433607,9.3353176672084679,8.090088215645741,10.291995304022478,6.6983823648655694,9.5966747834952155,null,null,{"$f":"P666","v":20.600876844206045},16.108764274433607,9.3353176672084679,8.090088215645741,10.291995304022478,6.6983823648655694,9.5966747834952155,null,null,{"$f":"G666*$AU$198","v":20.188859307321923},15.786588988944935,9.1486113138642988,7.9282864513328262,10.086155397942029,6.5644147175682575,9.4047412878253116,null,null,{"$f":"G666","v":20.600876844206045},16.108764274433607,9.3353176672084679,8.090088215645741,10.291995304022478,6.6983823648655694,9.5966747834952155,null,null,{"$f":"Y666*$AU$198","v":20.188859307321923},{"$f":"Z666*$AU$198","v":15.786588988944935},{"$f":"AA666*$AU$198","v":9.1486113138642988},{"$f":"AB666*$AU$198","v":7.9282864513328262},{"$f":"AC666*$AU$198","v":10.086155397942029},{"$f":"AD666*$AU$198","v":6.5644147175682575},{"$f":"AE666*$AU$198","v":9.4047412878253116}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G619 / 'Speed-Vol., non-Cordon'!$Y$4)^G638,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H619 / 'Speed-Vol., non-Cordon'!$Y$4)^H638,'Speed-Vol., non-Cordon'!$Y$6)","v":37.22351103285105},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I619 / 'Speed-Vol., non-Cordon'!$Y$4)^I638,'Speed-Vol., non-Cordon'!$Y$6)","v":19.211602720478481},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J619 / 'Speed-Vol., non-Cordon'!$Y$4)^J638,'Speed-Vol., non-Cordon'!$Y$6)","v":21.539448336147434},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K619 / 'Speed-Vol., non-Cordon'!$Y$4)^K638,'Speed-Vol., non-Cordon'!$Y$6)","v":24.618592980894622},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L619 / 'Speed-Vol., non-Cordon'!$Y$4)^L638,'Speed-Vol., non-Cordon'!$Y$6)","v":16.496880819689522},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M619 / 'Speed-Vol., non-Cordon'!$Y$4)^M638,'Speed-Vol., non-Cordon'!$Y$6)","v":27.391965176073672},null,{"$f":"ROW()","v":667},55,37.22351103285105,19.211602720478481,21.539448336147434,24.618592980894622,16.496880819689522,27.391965176073672,"Avgs are wghtd by periods' cordon VMT.",null,55,37.22351103285105,19.211602720478481,21.539448336147434,24.618592980894622,16.496880819689522,27.391965176073672,"Avgs are wghtd by periods' cordon VMT.",null,55,37.22351103285105,19.211602720478481,21.539448336147434,24.618592980894622,16.496880819689522,27.391965176073672,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G667*$AV$198","v":54.45},36.851275922522539,19.019486693273695,21.324053852785958,24.372407051085677,16.331912011492626,27.118045524312937,"Avgs are wghtd by periods' cordon VMT.",null,55,37.22351103285105,19.211602720478481,21.539448336147434,24.618592980894622,16.496880819689522,27.391965176073672,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y667*$AV$198","v":54.45},{"$f":"Z667*$AV$198","v":36.851275922522539},{"$f":"AA667*$AV$198","v":19.019486693273695},{"$f":"AB667*$AV$198","v":21.324053852785958},{"$f":"AC667*$AV$198","v":24.372407051085677},{"$f":"AD667*$AV$198","v":16.331912011492626},{"$f":"AE667*$AV$198","v":27.118045524312937},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":668}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":669}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":670},{"$f":"($I$99)*60/P666","v":3.6406217350449137},4.6558506116470584,8.0340061981444268,9.2706034842678893,7.2872166945788761,11.196733168502121,7.8152070057629031,{"$f":"SUMPRODUCT(P$562:V$562,P670:V670)/W$562","v":8.3450971495200914},null,{"$f":"($J$99)*60/Y666","v":3.6406217350449137},4.6558506116470584,8.0340061981444268,9.2706034842678893,7.2872166945788761,11.196733168502121,7.8152070057629031,{"$f":"SUMPRODUCT(Y$562:AE$562,Y670:AE670)/AF$562","v":8.5592232461462316},null,{"$f":"($K$99)*60/AH666","v":4.6599958208574899},5.9594887829082355,10.283527933624866,11.866372459862898,9.3276373690609606,14.331818455682715,10.003464967376516,{"$f":"SUMPRODUCT(AH$562:AN$562,AH670:AN670)/AO$562","v":10.513552682165857},null,{"$f":"($L$99)*60/AQ666","v":4.4579041653611196},5.7010415652821127,9.837558609972767,11.351759368491294,8.9231224831578064,13.710285512451579,9.5696412315464112,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ670:AW670)/AX$562","v":9.9494098099450277},null,{"$f":"($M$99)*60/AZ666","v":8.7374921641077936},11.174041467952941,19.281614875546623,22.249448362242934,17.489320066989304,26.872159604405091,18.756496813830967,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ670:BF670)/BG$562","v":20.016005510136861},null,{"$f":"($L$99)*60/BI666","v":4.4579041653611196},5.7010415652821127,9.837558609972767,11.351759368491294,8.9231224831578064,13.710285512451579,9.5696412315464112,{"$f":"SUMPRODUCT(BI$562:BO$562,BI670:BO670)/BP$562","v":9.9416117055221367}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":671},{"$f":"60*$I$99/(1/($P$152/$P666+$Q$152/$Q666+$R$152/$R666+$S$152/$S666+$T$152/$T666+$U$152/$U666+$V$152/$V666))","v":8.5155118911533112},8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,{"$f":"SUMPRODUCT(P$463:V$463,P671:V671)/W$463","v":8.5155118911533112},null,{"$f":"60*$J$99/(1/($Y$152/$Y666+$Z$152/$Z666+$AA$152/$AA666+$AB$152/$AB666+$AC$152/$AC666+$AD$152/$AD666+$AE$152/$AE666))","v":8.5155118911533112},8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,8.5155118911533112,{"$f":"SUMPRODUCT(Y$463:AE$463,Y671:AE671)/AF$463","v":8.5155118911533112},null,{"$f":"AH670","v":4.6599958208574899},5.9594887829082355,10.283527933624866,11.866372459862898,9.3276373690609606,14.331818455682715,10.003464967376516,{"$f":"SUMPRODUCT(AH$463:AN$463,AH671:AN671)/AO$463","v":10.300693200227489},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ666+$BA$152/$BA666+$BB$152/$BB666+$BC$152/$BC666+$BD$152/$BD666+$BE$152/$BE666+$BF$152/$BF666))","v":20.139974720220199},20.139974720220199,20.139974720220199,20.139974720220199,20.139974720220199,20.139974720220199,20.139974720220199,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ671:BF671)/BG$463","v":20.139974720220199}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":672},{"$f":"($I$93)*60/P667","v":18.389355683366585},27.171390729169893,52.646027366943805,46.956381927749263,41.083361805854437,61.309442290327304,36.923767830597725,{"$f":"SUMPRODUCT(P$562:V$562,P672:V672)/W$562","v":46.695656081271807},null,{"$f":"($J$93)*60/Y667","v":18.389355683366585},27.171390729169893,52.646027366943805,46.956381927749263,41.083361805854437,61.309442290327304,36.923767830597725,{"$f":"SUMPRODUCT(Y$562:AE$562,Y672:AE672)/AF$562","v":46.913896819276125},null,{"$f":"($K$93)*60/AH667","v":27.584033525049882},40.757086093754843,78.969041050415711,70.434572891623901,61.625042708781656,91.964163435490974,55.385651745896595,{"$f":"SUMPRODUCT(AH$562:AN$562,AH672:AN672)/AO$562","v":67.315593245339457},null,{"$f":"($L$93)*60/AQ667","v":6.6115702479338836},9.7689968932657063,18.927955617609555,16.882343408308664,14.770802048620951,22.042734478772058,13.275293002854452,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ672:AW672)/AX$562","v":16.077709203151379},null,{"$f":"($M$93)*60/AZ667","v":16.961695569840352},25.061936138101224,48.558845917983092,43.310916871331422,37.893849460251268,56.549675453057965,34.057186125370912,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ672:BF672)/BG$562","v":42.870316087580555},null,{"$f":"($L$93)*60/BI667","v":6.6115702479338836},9.7689968932657063,18.927955617609555,16.882343408308664,14.770802048620951,22.042734478772058,13.275293002854452,{"$f":"SUMPRODUCT(BI$562:BO$562,BI672:BO672)/BP$562","v":15.968724892290949}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":673},{"$f":"60*$I$93/(1/($P$152/$P667+$Q$152/$Q667+$R$152/$R667+$S$152/$S667+$T$152/$T667+$U$152/$U667+$V$152/$V667))","v":46.804602378159622},46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,{"$f":"SUMPRODUCT(P$562:V$562,P673:V673)/W$562","v":46.804602378159615},null,{"$f":"60*$J$93/(1/($Y$152/$Y667+$Z$152/$Z667+$AA$152/$AA667+$AB$152/$AB667+$AC$152/$AC667+$AD$152/$AD667+$AE$152/$AE667))","v":46.804602378159622},46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,46.804602378159622,{"$f":"SUMPRODUCT(Y$562:AE$562,Y673:AE673)/AF$562","v":46.804602378159622},null,{"$f":"AH672","v":27.584033525049882},40.757086093754843,78.969041050415711,70.434572891623901,61.625042708781656,91.964163435490974,55.385651745896595,{"$f":"SUMPRODUCT(AH$562:AN$562,AH673:AN673)/AO$562","v":67.315593245339457},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ667+$BA$152/$BA667+$BB$152/$BB667+$BC$152/$BC667+$BD$152/$BD667+$BE$152/$BE667+$BF$152/$BF667))","v":43.315708293656229},43.315708293656229,43.315708293656229,43.315708293656229,43.315708293656229,43.315708293656229,43.315708293656229,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ673:BF673)/BG$562","v":43.315708293656229}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":674},{"$f":"SUM(P670:P673)","v":77.350091687724429},87.147355610129893,116.00014783440116,111.54709968133008,103.69069276974625,127.82628972814234,100.05908910567356,110.36086750010483,null,{"$f":"SUM(Y670:Y673)","v":77.350091687724429},87.147355610129893,116.00014783440116,111.54709968133008,103.69069276974625,127.82628972814234,100.05908910567356,110.79323433473529,null,{"$f":"SUM(AH670:AH673)","v":64.488058691814743},93.433149753326148,178.50513796808116,164.60189070297361,141.90536015568523,212.59196378234736,130.77823342654622,155.44543237307226,null,{"$f":"AQ670+AQ672","v":11.069474413295003},15.470038458547819,28.765514227582322,28.234102776799958,23.693924531778755,35.753019991223638,22.844934234400863,26.027119013096407,null,{"$f":"SUM(AZ670:AZ673)","v":89.154870747824575},99.691660619930587,131.29614380740614,129.01604824745078,118.83885254111701,146.87751807133949,116.26936595307831,126.34200461159384,null,{"$f":"BI670+BI672","v":11.069474413295003},15.470038458547819,28.765514227582322,28.234102776799958,23.693924531778755,35.753019991223638,22.844934234400863,25.910336597813085]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":675}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":676},{"$f":"P674/P626","v":1.0477318729727074},1.0411501032902886,1.078653241803998,1.0599596624370615,1.0521847240089168,1.0827423006054082,1.0459359972121336,1.0671311261068026,null,{"$f":"Y674/Y626","v":1.0477318729727074},1.0411501032902886,1.078653241803998,1.0599596624370615,1.0521847240089168,1.0827423006054082,1.0459359972121336,1.0674958306937101,null,{"$f":"AH674/AH626","v":1.0007827205159587},0.99727385164955629,1.0885363264700523,1.0515263186660917,1.0342060598282836,1.0937575851646426,1.0191528170299289,1.0630443698353913,null,{"$f":"AQ674/AQ626","v":1.0021841474584101},1.0083474635897645,1.0934330910608003,1.064077034175938,1.0452521638699608,1.1041017747790955,1.0334360183337501,1.0726408296541601,null,{"$f":"AZ674/AZ626","v":1.0520317705289353},1.0479614290833716,1.083228615916088,1.0672653497188722,1.0589870155604171,1.0893848025524664,1.053449269709162,1.073251949378629,null,{"$f":"BI674/BI626","v":1.0021841474584101},1.0083474635897645,1.0934330910608003,1.064077034175938,1.0452521638699608,1.1041017747790955,1.0334360183337501,1.0719499316574477]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":677}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":678},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$666,G$618,G$567,G$483)","v":20.648646865419998},16.372607130279977,9.9443880176436892,8.5057743285566119,10.687875533221465,7.1258463796751386,9.8796892635111391,null,{"$f":"ROW()","v":679},{"$f":"G679","v":20.648646865419998},16.372607130279977,9.9443880176436892,8.5057743285566119,10.687875533221465,7.1258463796751386,9.8796892635111391,null,null,{"$f":"G679","v":20.648646865419998},16.372607130279977,9.9443880176436892,8.5057743285566119,10.687875533221465,7.1258463796751386,9.8796892635111391,null,null,{"$f":"P679","v":20.648646865419998},16.372607130279977,9.9443880176436892,8.5057743285566119,10.687875533221465,7.1258463796751386,9.8796892635111391,null,null,{"$f":"G679*$AU$198","v":20.235673928111598},16.045154987674376,9.745500257290816,8.3356588419854791,10.474118022557036,6.9833294520816356,9.6820954782409157,null,null,{"$f":"G679","v":20.648646865419998},16.372607130279977,9.9443880176436892,8.5057743285566119,10.687875533221465,7.1258463796751386,9.8796892635111391,null,null,{"$f":"Y679*$AU$198","v":20.235673928111598},{"$f":"Z679*$AU$198","v":16.045154987674376},{"$f":"AA679*$AU$198","v":9.745500257290816},{"$f":"AB679*$AU$198","v":8.3356588419854791},{"$f":"AC679*$AU$198","v":10.474118022557036},{"$f":"AD679*$AU$198","v":6.9833294520816356},{"$f":"AE679*$AU$198","v":9.6820954782409157}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$667,G$619,G$568,G$507)","v":55},37.393440180493471,19.137945329840413,21.432472458688142,24.487598646044169,16.511382362734345,27.311645666733902,null,{"$f":"ROW()","v":680},55,37.393440180493471,19.137945329840413,21.432472458688142,24.487598646044169,16.511382362734345,27.311645666733902,null,null,55,37.393440180493471,19.137945329840413,21.432472458688142,24.487598646044169,16.511382362734345,27.311645666733902,null,null,55,37.393440180493471,19.137945329840413,21.432472458688142,24.487598646044169,16.511382362734345,27.311645666733902,null,null,{"$f":"G680*$AV$198","v":54.45},37.019505778688533,18.94656587654201,21.218147734101262,24.242722659583727,16.346268539107001,27.038529210066564,null,null,55,37.393440180493471,19.137945329840413,21.432472458688142,24.487598646044169,16.511382362734345,27.311645666733902,null,null,{"$f":"Y680*$AV$198","v":54.45},{"$f":"Z680*$AV$198","v":37.019505778688533},{"$f":"AA680*$AV$198","v":18.94656587654201},{"$f":"AB680*$AV$198","v":21.218147734101262},{"$f":"AC680*$AV$198","v":24.242722659583727},{"$f":"AD680*$AV$198","v":16.346268539107001},{"$f":"AE680*$AV$198","v":27.038529210066564}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":681}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":682},{"$f":"P676^Elasticities!$G$67","v":0.95444266400211841},{"$f":"Q676^Elasticities!$G$67","v":0.96047630100573955},{"$f":"R676^Elasticities!$G$67","v":0.92708199562590288},{"$f":"S676^Elasticities!$G$67","v":0.9434321280687209},{"$f":"T676^Elasticities!$G$67","v":0.95040345785473068},{"$f":"U676^Elasticities!$G$67","v":0.92358079982730568},{"$f":"V676^Elasticities!$G$67","v":0.95608144538999262},null,null,{"$f":"Y676^Elasticities!$H$67","v":0.95444266400211841},{"$f":"Z676^Elasticities!$H$67","v":0.96047630100573955},{"$f":"AA676^Elasticities!$H$67","v":0.92708199562590288},{"$f":"AB676^Elasticities!$H$67","v":0.9434321280687209},{"$f":"AC676^Elasticities!$H$67","v":0.95040345785473068},{"$f":"AD676^Elasticities!$H$67","v":0.92358079982730568},{"$f":"AE676^Elasticities!$H$67","v":0.95608144538999262},null,null,{"$f":"AH676^Elasticities!$I$67","v":0.9992178916562876},{"$f":"AI676^Elasticities!$I$67","v":1.0027336005510767},{"$f":"AJ676^Elasticities!$I$67","v":0.91866479389148059},{"$f":"AK676^Elasticities!$I$67","v":0.95099854587429145},{"$f":"AL676^Elasticities!$I$67","v":0.96692529549288941},{"$f":"AM676^Elasticities!$I$67","v":0.9142793737512418},{"$f":"AN676^Elasticities!$I$67","v":0.98120711957040452},null,null,{"$f":"AQ676^Elasticities!$G$69","v":0.99869179703901301},{"$f":"AR676^Elasticities!$G$69","v":0.99502472815390475},{"$f":"AS676^Elasticities!$G$69","v":0.94781738908112756},{"$f":"AT676^Elasticities!$G$69","v":0.96342110975307305},{"$f":"AU676^Elasticities!$G$69","v":0.97379458409575681},{"$f":"AV676^Elasticities!$G$69","v":0.94231159528573871},{"$f":"AW676^Elasticities!$G$69","v":0.98045991706312974},null,null,{"$f":"AZ676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98323436285346411},{"$f":"BA676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98450569757956019},{"$f":"BB676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97370326262169904},{"$f":"BC676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97853387214312626},{"$f":"BD676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98107706147405005},{"$f":"BE676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97186564259442509},{"$f":"BF676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98279315840964976},null,null,{"$f":"BI676^Elasticities!$G$69","v":0.99869179703901301},{"$f":"BJ676^Elasticities!$G$69","v":0.99502472815390475},{"$f":"BK676^Elasticities!$G$69","v":0.94781738908112756},{"$f":"BL676^Elasticities!$G$69","v":0.96342110975307305},{"$f":"BM676^Elasticities!$G$69","v":0.97379458409575681},{"$f":"BN676^Elasticities!$G$69","v":0.94231159528573871},{"$f":"BO676^Elasticities!$G$69","v":0.98045991706312974}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":683},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":684},{"$f":"(P631/P679)^Elasticities!$G$67","v":0.99922943761974969},{"$f":"(Q631/Q679)^Elasticities!$G$67","v":0.9946570683699858},{"$f":"(R631/R679)^Elasticities!$G$67","v":0.97999258719432647},{"$f":"(S631/S679)^Elasticities!$G$67","v":0.98397077210243145},{"$f":"(T631/T679)^Elasticities!$G$67","v":0.98780387418434312},{"$f":"(U631/U679)^Elasticities!$G$67","v":0.98039605810676567},{"$f":"(V631/V679)^Elasticities!$G$67","v":0.99054161814485497},null,null,{"$f":"(Y631/Y679)^Elasticities!$H$67","v":0.99922943761974969},{"$f":"(Z631/Z679)^Elasticities!$H$67","v":0.9946570683699858},{"$f":"(AA631/AA679)^Elasticities!$H$67","v":0.97999258719432647},{"$f":"(AB631/AB679)^Elasticities!$H$67","v":0.98397077210243145},{"$f":"(AC631/AC679)^Elasticities!$H$67","v":0.98780387418434312},{"$f":"(AD631/AD679)^Elasticities!$H$67","v":0.98039605810676567},{"$f":"(AE631/AE679)^Elasticities!$H$67","v":0.99054161814485497},null,null,{"$f":"(AH631/AH679)^Elasticities!$I$67","v":0.99922943761974969},{"$f":"(AI631/AI679)^Elasticities!$I$67","v":0.9946570683699858},{"$f":"(AJ631/AJ679)^Elasticities!$I$67","v":0.97999258719432647},{"$f":"(AK631/AK679)^Elasticities!$I$67","v":0.98397077210243145},{"$f":"(AL631/AL679)^Elasticities!$I$67","v":0.98780387418434312},{"$f":"(AM631/AM679)^Elasticities!$I$67","v":0.98039605810676567},{"$f":"(AN631/AN679)^Elasticities!$I$67","v":0.99054161814485497},null,null,{"$f":"(AQ631/AQ679)^Elasticities!$G$69","v":0.99953759129425002},{"$f":"(AR631/AR679)^Elasticities!$G$69","v":0.99679080682294452},{"$f":"(AS631/AS679)^Elasticities!$G$69","v":0.98794706277189415},{"$f":"(AT631/AT679)^Elasticities!$G$69","v":0.99035139804587968},{"$f":"(AU631/AU679)^Elasticities!$G$69","v":0.99266437271214381},{"$f":"(AV631/AV679)^Elasticities!$G$69","v":0.98819109018129381},{"$f":"(AW631/AW679)^Elasticities!$G$69","v":0.99431418791303749},null,null,{"$f":"(AZ631/AZ679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99974307987095024},{"$f":"(BA631/BA679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99821584146142861},{"$f":"(BB631/BB679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99328588393288575},{"$f":"(BC631/BC679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99462811859665612},{"$f":"(BD631/BD679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99591798455065617},{"$f":"(BE631/BE679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9934221798534637},{"$f":"(BF631/BF679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99683721337506614},null,null,{"$f":"(BI631/BI679)^Elasticities!$G$69","v":0.99953759129425002},{"$f":"(BJ631/BJ679)^Elasticities!$G$69","v":0.99679080682294452},{"$f":"(BK631/BK679)^Elasticities!$G$69","v":0.98794706277189415},{"$f":"(BL631/BL679)^Elasticities!$G$69","v":0.99035139804587968},{"$f":"(BM631/BM679)^Elasticities!$G$69","v":0.99266437271214381},{"$f":"(BN631/BN679)^Elasticities!$G$69","v":0.98819109018129381},{"$f":"(BO631/BO679)^Elasticities!$G$69","v":0.99431418791303749}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":685},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P686+$J$85*$J$93*Y686+$K$85*$K$93*AH686+$L$85*$L$93*AQ686+$M$85*$M$93*AZ686+$N$85*$N$93*BI686)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.99858145781242691,1.0012047272040416,1.0015629482811177,1.0016752844040102,0.99972551197300075,1.0009202612441181,null,{"$f":"ROW()","v":686},{"$f":"(P632/P680)^Elasticities!$G$67","v":1},{"$f":"(Q632/Q680)^Elasticities!$G$67","v":0.99848750538505615},{"$f":"(R632/R680)^Elasticities!$G$67","v":1.0012845685597409},{"$f":"(S632/S680)^Elasticities!$G$67","v":1.0016665390510147},{"$f":"(T632/T680)^Elasticities!$G$67","v":1.0017863236956746},{"$f":"(U632/U680)^Elasticities!$G$67","v":0.99970732717348676},{"$f":"(V632/V680)^Elasticities!$G$67","v":1.0009812459187013},null,null,{"$f":"(Y632/Y680)^Elasticities!$H$67","v":1},{"$f":"(Z632/Z680)^Elasticities!$H$67","v":0.99848750538505615},{"$f":"(AA632/AA680)^Elasticities!$H$67","v":1.0012845685597409},{"$f":"(AB632/AB680)^Elasticities!$H$67","v":1.0016665390510147},{"$f":"(AC632/AC680)^Elasticities!$H$67","v":1.0017863236956746},{"$f":"(AD632/AD680)^Elasticities!$H$67","v":0.99970732717348676},{"$f":"(AE632/AE680)^Elasticities!$H$67","v":1.0009812459187013},null,null,{"$f":"(AH632/AH680)^Elasticities!$I$67","v":1},{"$f":"(AI632/AI680)^Elasticities!$I$67","v":0.99848750538505615},{"$f":"(AJ632/AJ680)^Elasticities!$I$67","v":1.0012845685597409},{"$f":"(AK632/AK680)^Elasticities!$I$67","v":1.0016665390510147},{"$f":"(AL632/AL680)^Elasticities!$I$67","v":1.0017863236956746},{"$f":"(AM632/AM680)^Elasticities!$I$67","v":0.99970732717348676},{"$f":"(AN632/AN680)^Elasticities!$I$67","v":1.0009812459187013},null,null,{"$f":"(AQ632/AQ680)^Elasticities!$G$69","v":1},{"$f":"(AR632/AR680)^Elasticities!$G$69","v":0.9990922285203},{"$f":"(AS632/AS680)^Elasticities!$G$69","v":1.0007705432404894},{"$f":"(AT632/AT680)^Elasticities!$G$69","v":1.0009995904072606},{"$f":"(AU632/AU680)^Elasticities!$G$69","v":1.0010714116219857},{"$f":"(AV632/AV680)^Elasticities!$G$69","v":0.99982438602380186},{"$f":"(AW632/AW680)^Elasticities!$G$69","v":1.0005886320628714},null,null,{"$f":"(AZ632/AZ680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA632/BA680)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9994955807323358},{"$f":"(BB632/BB680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0004280063043818},{"$f":"(BC632/BC680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0005552047076898},{"$f":"(BD632/BD680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0005950870330689},{"$f":"(BE632/BE680)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99990243287212743},{"$f":"(BF632/BF680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0003269750485655},null,null,{"$f":"(BI632/BI680)^Elasticities!$G$69","v":1},{"$f":"(BJ632/BJ680)^Elasticities!$G$69","v":0.9990922285203},{"$f":"(BK632/BK680)^Elasticities!$G$69","v":1.0007705432404894},{"$f":"(BL632/BL680)^Elasticities!$G$69","v":1.0009995904072606},{"$f":"(BM632/BM680)^Elasticities!$G$69","v":1.0010714116219857},{"$f":"(BN632/BN680)^Elasticities!$G$69","v":0.99982438602380186},{"$f":"(BO632/BO680)^Elasticities!$G$69","v":1.0005886320628714}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":687},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 5 • (Rebound Effect 4)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":688},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":689},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":690}]
[null,"Period entries with trird rebound effect but before fourth",null,null,null,null,{"$f":"P691+Y691+AH691+AQ691+AZ691+BI691","v":54955.730471766423},38193.536372096802,83794.507082304583,31131.012737702218,102383.94582221008,171374.7033257611,74092.01916474766,{"$f":"SUM(G691:M691)","v":555925.45497658895},{"$f":"ROW()","v":691},{"$f":"P645","v":6915.029551762198},24421.167650499865,44288.458271303331,13603.566165940061,38030.252722654826,40256.459291846033,13557.638809425369,{"$f":"SUM(P691:V691)","v":181072.57246343169},null,{"$f":"Y645","v":17752.755878115076},3743.4746192159114,10046.385786124589,7134.2176676977469,28059.63157992929,59701.552724172005,23512.983100839727,{"$f":"SUM(Y691:AE691)","v":149951.00135609435},null,{"$f":"AH645","v":15101.810065866741},4959.3054069405662,7610.1332313043895,2746.7245091798095,11912.081763016327,24792.067344226685,15156.021642903326,{"$f":"SUM(AH691:AN691)","v":82278.143963437848},null,{"$f":"AQ645","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ691:AW691)","v":36892.383966688518},null,{"$f":"AZ645","v":3796.6991123242469},3298.297821032073,6355.8074946560637,2340.3690821510991,7771.8662247692964,12314.66812563177,4878.3871301112295,{"$f":"SUM(AZ691:BF691)","v":40756.094990675781},null,{"$f":"BI645","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI691:BO691)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O645,\".\")","v":"Above row repeats figures in Row 645."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":692},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O693, \" figures are set equal to Row \",$O691, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 693 figures are set equal to Row 691 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O693, \" figures are set equal to Row \",$O691, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 693 figures are set equal to Row 691 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P693+Y693+AH693+AQ693+AZ693+BI693","v":53756.466551284379},37042.817464829146,79046.409930263704,29773.088280680189,98565.060958841466,161264.33518351839,72095.164094867068,{"$f":"SUM(G693:M693)","v":531543.34246428427},{"$f":"ROW()","v":693},{"$f":"P691*P682","v":6599.9992270372868},23455.952771193137,41059.032277354418,12834.041377256483,36144.083690700434,37180.092870978529,12962.206908990865,{"$f":"SUM(P693:V693)","v":170235.40912351114},null,{"$f":"Y691*Y682","v":16943.987613687419},3595.5186551733677,9313.8233834280891,6730.6501563415522,26667.970879694596,55139.20781592284,22480.326868481316,{"$f":"SUM(Y693:AE693)","v":140871.48537272919},null,{"$f":"AH691*AH682","v":15089.998814209066},4972.8621669339364,6991.1614764229544,2612.1310141472759,11518.093178640022,22666.875805478187,14871.196340379884,{"$f":"SUM(AH693:AN693)","v":78722.31879621133},null,{"$f":"AQ691","v":2970.2068778820894},{"$f":"AR691","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ693:AW693)","v":36892.383966688518},null,{"$f":"AZ691*AZ682","v":3733.0450326524438},3247.1929971203244,6188.6704941420558,2290.1304202013694,7624.7996779660807,11968.202851254204,4794.4454955470019,{"$f":"SUM(AZ693:BF693)","v":39846.486968883473},null,{"$f":"BI691","v":8419.2289858160748},{"$f":"BJ691","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI693:BO693)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,81857.270547144974,54169.43405302598,115958.5228690553,43464.868269337552,144733.58663047658,239035.66946098136,107960.90057529106,{"$f":"SUM(G694:M694)","v":787180.25240531273},{"$f":"ROW()","v":694},{"$f":"P693*$I$99","v":8249.9990337966083},29319.940963991423,51323.790346693022,16042.551721570602,45180.104613375544,46475.11608872316,16202.758636238581,{"$f":"SUM(P694:V694)","v":212794.26140438893},null,{"$f":"Y693*$J$99","v":21179.984517109275},4494.3983189667097,11642.279229285112,8413.312695426941,33334.963599618248,68924.009769903554,28100.408585601646,{"$f":"SUM(Y694:AE694)","v":176089.35671591148},null,{"$f":"AH693*$K$99","v":24143.998102734506},7956.5794670942987,11185.858362276727,4179.4096226356414,18428.949085824035,36267.001288765103,23793.914144607814,{"$f":"SUM(AH694:AN694)","v":125955.71007393813},null,{"$f":"AQ693*$L$99","v":4455.3103168231337},1771.0156370266441,11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ694:AW694)","v":55338.575950032769},null,{"$f":"AZ693*$M$99","v":11199.135097957331},9741.5789913609733,18566.011482426169,6870.3912606041085,22874.39903389824,35904.608553762613,14383.336486641005,{"$f":"SUM(AZ694:BF694)","v":119539.46090665043},null,{"$f":"BI693*$L$99","v":12628.843478724113},885.92067458592396,11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI694:BO694)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":695}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":696}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P697+Y697+AH697+AQ697+AZ697+BI697","v":63265.604827974799},12808.034709995158,76099.741738113677,24989.747372895919,97443.449552575228,201433.52928967413,79885.347485359976,{"$f":"SUM(G697:M697)","v":555925.45497658884},{"$f":"ROW()","v":697},{"$f":"P$152*$W691","v":21124.182545386109},4133.1025855100461,23014.088168589464,7581.3478797582829,31932.257988954851,67673.362087242713,25614.231207990215,181072.57246343166,null,{"$f":"Y$152*$AF691","v":17493.496018836784},3422.7319078368841,19058.577007152056,6278.3153225938995,26443.950046448554,56042.106609850925,21211.824443375244,{"$f":"SUM(Y697:AE697)","v":149951.00135609435},null,{"$f":"AH$152*$AO691","v":9598.6847093047581},1878.0536716289821,10457.444955695137,3444.9128534562078,14509.800596241403,30750.31492927235,11638.932247839015,{"$f":"SUM(AH697:AN697)","v":82278.143963437848},null,{"$f":"AQ691","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ697:AW697)","v":36892.383966688518},null,{"$f":"AZ$152*$BG691","v":3659.8056907489781},1602.8556706108666,8075.9093077608204,2379.0360043540222,7947.3273890900791,12657.789823423544,4433.3711046874705,{"$f":"SUM(AZ697:BF697)","v":40756.094990675774},null,{"$f":"BI691","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI697:BO697)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":698}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":699},{"$f":"P697*$W693/$W691","v":19859.903734121744},3885.73708332243,21636.698820168374,7127.6054703368154,30021.117660351669,63623.122624006792,24081.223731203303,{"$f":"SUM(P699:V699)","v":170235.40912351111},null,{"$f":"Y697*$AF693/$AF691","v":16434.266835493236},3215.4858822489668,17904.582348952328,5898.1640478136269,24842.771895327915,52648.763463730516,19927.450899162606,{"$f":"SUM(Y699:AE699)","v":140871.48537272919},null,{"$f":"AH697*$AO693/$AO691","v":9183.8571133299974},1796.8895837036632,10005.504207312786,3296.0336100368977,13882.728671108034,29421.374600061266,11135.931010658687,{"$f":"SUM(AH699:AN699)","v":78722.318796211344},null,{"$f":"AQ697*$AX693/$AX691","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ699:AW699)","v":36892.383966688518},null,{"$f":"AZ697*$BG693/$BG691","v":3578.1249356308044},1567.0826070703952,7895.6684900061509,2325.9398911422873,7769.9563051680325,12375.289079321805,4334.4256605439987,{"$f":"SUM(AZ699:BF699)","v":39846.486968883473},null,{"$f":"BI697*$AX693/$AX691","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI699:BO699)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":700}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P701+Y701+AH701+AQ701+AZ701+BI701","v":83609.374746899572},18445.50209581072,106552.85124940051,34503.087573999146,132788.47445719683,268138.62452760519,104941.97192829481,{"$f":"SUM(G701:M701)","v":748979.88657920668},{"$f":"ROW()","v":701},{"$f":"P699*$I$99","v":24824.879667652182},4857.1713541530371,27045.873525210467,8909.5068379210188,37526.397075439585,79528.903280008497,30101.529664004127,{"$f":"SUM(P701:V701)","v":212794.2614043889},null,{"$f":"Y699*$J$99","v":20542.833544366546},4019.3573528112083,22380.727936190411,7372.7050597670332,31053.464869159892,65810.954329663145,24909.313623953258,{"$f":"SUM(Y701:AE701)","v":176089.35671591148},null,{"$f":"AH699*$K$99","v":14694.171381327997},2875.0233339258612,16008.806731700459,5273.6537760590363,22212.365873772855,47074.199360098028,17817.4896170539,{"$f":"SUM(AH701:AN701)","v":125955.71007393814},null,{"$f":"AQ699*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR699*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS699*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT699*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU699*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV699*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW699*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ701:AW701)","v":41503.931962524584},null,{"$f":"AZ699*$M$99","v":10734.374806892414},4701.2478212111855,23687.005470018452,6977.8196734268622,23309.868915504099,37125.867237965416,13003.276981631996,{"$f":"SUM(AZ701:BF701)","v":119539.46090665042},null,{"$f":"BI699*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ699*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK699*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL699*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM699*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN699*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO699*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI701:BO701)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":702},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":703},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O705, \" figures are set equal to Row \",$O704, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 705 figures are set equal to Row 704 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O705, \" figures are set equal to Row \",$O704, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 705 figures are set equal to Row 704 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P704+Y704+AH704+AQ704+AZ704+BI704","v":250530.72220661468},29871.997275162881,205753.97539095336,72746.866906072129,266223.26433157898,458620.34983625315,227013.68395698298,{"$f":"SUM(G704:M704)","v":1510760.8599036182},{"$f":"ROW()","v":704},{"$f":"P657","v":8482.2289366921159},{"$f":"Q657","v":2172.4551417623197},18386.844291509733,4834.7481129595481,17553.405763295101,33962.081551638395,11778.780966317514,{"$f":"SUM(P704:V704)","v":97170.544764174731},null,{"$f":"Y657","v":5964.2433861454974},{"$f":"Z657","v":1527.5526406631814},12928.631763680081,3399.5326784522827,12342.602989078123,23880.293939942465,8282.1999971404057,{"$f":"SUM(Y704:AE704)","v":68325.057395102034},null,{"$f":"AH657","v":0},{"$f":"AI657","v":0},0,0,0,0,0,{"$f":"SUM(AH704:AN704)","v":0},null,{"$f":"AQ657","v":98921.343502801625},{"$f":"AR657","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ704:AW704)","v":553825.51435896545},null,{"$f":"AZ657","v":5074.0794008517159},{"$f":"BA657","v":1447.4134288036871},8890.9029926050844,2598.8897462884629,9563.2515316764511,17911.472627614268,6435.2439873309422,{"$f":"SUM(AZ704:BF704)","v":51921.253715170613},null,{"$f":"BI657","v":132088.82698012373},{"$f":"BJ657","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI704:BO704)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250518.2866653809,29849.645971523016,205067.73917967716,72600.916815196586,265819.61150695081,457368.5928226455,226803.5862350305,{"$f":"SUM(G705:M705)","v":1508028.3791964045},{"$f":"ROW()","v":705},{"$f":"P704*P684","v":8475.6928501728307},2160.8478624706108,18018.971107575857,4757.2508336295796,17339.322218112677,33296.290878326792,11667.372758149968,{"$f":"SUM(P705:V705)","v":95715.748508438308},null,{"$f":"Y704*Y684","v":5959.6475645654773},1519.3910313428703,12669.963290971591,3345.0407944041394,12192.071050130624,23412.146045150475,8203.8637869667709,{"$f":"SUM(Y705:AE705)","v":67302.123563531946},null,{"$f":"AH704*AH684","v":0},0,0,0,0,0,0,{"$f":"SUM(AH705:AN705)","v":0},null,{"$f":"AQ704","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ705:AW705)","v":553825.51435896545},null,{"$f":"AZ704*AZ684","v":5072.7757677172403},1444.8310137758442,8831.2084379712796,2584.9288187910347,9524.2141911781873,17793.654182110215,6414.8906837196255,{"$f":"SUM(AZ705:BF705)","v":51666.503095263426},null,{"$f":"BI704","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI705:BO705)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,-12.435541233780896,-22.351303639862863,-686.23621127616389,-145.9500908755399,-403.65282462818686,-1251.7570136076283,-210.09772195249752,{"$f":"W706+AF706+AO706+AX706+BG706+BP706","v":-2732.4807072136682},{"$f":"ROW()","v":706},{"$f":"P705-P704","v":-6.5360865192851634},-11.607279291708892,-367.87318393387613,-77.497279329968478,-214.08354518242413,-665.79067331160331,-111.40820816754604,-1454.7962557364226,null,{"$f":"Y705-Y704","v":-4.5958215800201287},-8.1616093203110722,-258.6684727084903,-54.49188404814322,-150.53193894749893,-468.14789479198953,-78.336210173634754,-1022.9338315700879,null,{"$f":"AH705-AH704","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ705-AQ704","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ705-AZ704","v":-1.3036331344756036},-2.5824150278428988,-59.694554633804728,-13.960927497428202,-39.037340498263802,-117.81844550405367,-20.353303611316733,-254.75061990718677,null,{"$f":"BI705-BI704","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":707}]
[null,"Total Cordon VMT before fourth rebound effect",null,null,null,null,{"$f":"P708+Y708+AH708+AQ708+AZ708+BI708","v":411949.1894909587},104588.97004540535,435449.1001475447,154007.7664259061,555591.5874346483,992071.4365872629,430204.98239554605,3083863.0325272721,{"$f":"ROW()","v":708},{"$f":"P661","v":43531.244058127508},{"$f":"Q661","v":37865.292936774713},102515.02734137574,31315.890670082477,105006.5441528072,168874.35827549934,60743.618488086999,{"$f":"SUM(P708:V708)","v":549851.97592275392},null,{"$f":"Y661","v":50022.058257335324},{"$f":"Z661","v":10485.310799479175},49309.835255275888,20165.19891631684,80472.080022050417,168559.86810747112,64188.209427409121,{"$f":"SUM(Y708:AE708)","v":443202.56078533788},null,{"$f":"AH661","v":39520.791640274401},{"$f":"AI661","v":10939.774525711277},28908.125099199242,9906.6197802176284,42275.011774812374,88867.811637598468,42871.926225187752,{"$f":"SUM(AH708:AN708)","v":263290.06068300118},null,{"$f":"AQ661","v":101102.94289294499},{"$f":"AR661","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ708:AW708)","v":632517.43270702334},null,{"$f":"AZ661","v":27443.59381007139},{"$f":"BA661","v":16150.873903732507},52186.053399855737,16757.105005803827,56720.832373254583,92828.846474780206,34370.51869172704,{"$f":"SUM(AZ708:BF708)","v":296457.82365922531},null,{"$f":"BI661","v":150328.55883220508},{"$f":"BJ661","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI708:BO708)","v":898543.17876993015}]
[null,"Total Cordon VMT with fourth rebound effect",null,null,null,null,406508.99405944248,102238.0853908117,423890.55497215764,150589.52314772134,544093.23963773763,964553.30310639064,422628.86453170388,3014502.5648459657,{"$f":"ROW()","v":709},{"$f":"P694+P701+P705","v":41550.571551621622},36337.960180615068,96388.63497947935,29709.309393121199,100045.82390692781,159300.31024705846,57971.661058392681,{"$f":"SUM(P709:V709)","v":521304.27131721616},null,{"$f":"Y694+Y701+Y705","v":47682.465626041296},10033.146703120789,46692.970456447118,19131.058549598114,76580.499518908764,158147.11014471715,61213.58599652168,{"$f":"SUM(Y709:AE709)","v":419480.83699535491},null,{"$f":"AH694+AH701+AH705","v":38838.169484062499},10831.602801020159,27194.665093977186,9453.0633986946777,40641.314959596886,83341.20064886313,41611.403761661713,{"$f":"SUM(AH709:AN709)","v":251911.42014787626},null,{"$f":"AQ708","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ709:AW709)","v":632517.43270702334},null,{"$f":"AZ694+AZ701+AZ705","v":27006.285672566984},15887.657826348002,51084.225390415901,16433.139752822004,55708.482140580527,90824.129973838251,33801.504151992624,{"$f":"SUM(AZ709:BF709)","v":290745.42490856431},null,{"$f":"BI708","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI709:BO709)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with fourth rebound effect",null,null,null,null,{"$f":"G709/G$135","v":67751.499009907086},102238.0853908117,141296.85165738588,150589.52314772134,136023.30990943441,160758.8838510651,140876.28817723462,null,{"$f":"ROW()","v":710}]
[null,"Factor Change",null,null,null,null,{"$f":"G709/G708","v":0.98679401350870821},0.97752263308862242,0.97345603614413112,0.97780473441364213,0.97930431623343617,0.97226194357985452,0.98238951622164983,null,{"$f":"ROW()","v":711},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":712}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":713}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G710*$G$481/V_sub_k)^KSE)","v":20.668949113374151},16.492657359138697,9.9178013131673488,8.5545320817888229,10.751140143652531,7.2338189064445988,9.9827835333015589,null,{"$f":"ROW()","v":714},{"$f":"G714","v":20.668949113374151},16.492657359138697,9.9178013131673488,8.5545320817888229,10.751140143652531,7.2338189064445988,9.9827835333015589,null,null,{"$f":"G714","v":20.668949113374151},16.492657359138697,9.9178013131673488,8.5545320817888229,10.751140143652531,7.2338189064445988,9.9827835333015589,null,null,{"$f":"P714","v":20.668949113374151},16.492657359138697,9.9178013131673488,8.5545320817888229,10.751140143652531,7.2338189064445988,9.9827835333015589,null,null,{"$f":"G714*$AU$198","v":20.255570131106666},16.162804211955923,9.7194452869040013,8.3834414401530459,10.53611734077948,7.0891425283157066,9.7831278626355278,null,null,{"$f":"G714","v":20.668949113374151},16.492657359138697,9.9178013131673488,8.5545320817888229,10.751140143652531,7.2338189064445988,9.9827835333015589,null,null,{"$f":"Y714*$AU$198","v":20.255570131106666},{"$f":"Z714*$AU$198","v":16.162804211955923},{"$f":"AA714*$AU$198","v":9.7194452869040013},{"$f":"AB714*$AU$198","v":8.3834414401530459},{"$f":"AC714*$AU$198","v":10.53611734077948},{"$f":"AD714*$AU$198","v":7.0891425283157066},{"$f":"AE714*$AU$198","v":9.7831278626355278}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G667 / 'Speed-Vol., non-Cordon'!$Y$4)^G686,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H667 / 'Speed-Vol., non-Cordon'!$Y$4)^H686,'Speed-Vol., non-Cordon'!$Y$6)","v":37.289860628827689},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I667 / 'Speed-Vol., non-Cordon'!$Y$4)^I686,'Speed-Vol., non-Cordon'!$Y$6)","v":19.167288807216725},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J667 / 'Speed-Vol., non-Cordon'!$Y$4)^J686,'Speed-Vol., non-Cordon'!$Y$6)","v":21.478853066693141},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K667 / 'Speed-Vol., non-Cordon'!$Y$4)^K686,'Speed-Vol., non-Cordon'!$Y$6)","v":24.549859788161399},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L667 / 'Speed-Vol., non-Cordon'!$Y$4)^L686,'Speed-Vol., non-Cordon'!$Y$6)","v":16.506253213805458},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M667 / 'Speed-Vol., non-Cordon'!$Y$4)^M686,'Speed-Vol., non-Cordon'!$Y$6)","v":27.352615934929585},null,{"$f":"ROW()","v":715},55,37.289860628827689,19.167288807216725,21.478853066693141,24.549859788161399,16.506253213805458,27.352615934929585,"Avgs are wghtd by periods' cordon VMT.",null,55,37.289860628827689,19.167288807216725,21.478853066693141,24.549859788161399,16.506253213805458,27.352615934929585,"Avgs are wghtd by periods' cordon VMT.",null,55,37.289860628827689,19.167288807216725,21.478853066693141,24.549859788161399,16.506253213805458,27.352615934929585,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G715*$AV$198","v":54.45},36.916962022539415,18.975615919144559,21.264064536026208,24.304361190279785,16.341190681667403,27.07908977558029,"Avgs are wghtd by periods' cordon VMT.",null,55,37.289860628827689,19.167288807216725,21.478853066693141,24.549859788161399,16.506253213805458,27.352615934929585,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y715*$AV$198","v":54.45},{"$f":"Z715*$AV$198","v":36.916962022539415},{"$f":"AA715*$AV$198","v":18.975615919144559},{"$f":"AB715*$AV$198","v":21.264064536026208},{"$f":"AC715*$AV$198","v":24.304361190279785},{"$f":"AD715*$AV$198","v":16.341190681667403},{"$f":"AE715*$AV$198","v":27.07908977558029},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":716}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":717}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":718},{"$f":"($I$99)*60/P714","v":3.6286315084819738},4.5474782120809643,7.5621599618482378,8.7672825682263245,6.9760043119036048,10.367967593601577,7.5129346188673294,{"$f":"SUMPRODUCT(P$562:V$562,P718:V718)/W$562","v":7.8708509863864391},null,{"$f":"($J$99)*60/Y714","v":3.6286315084819738},4.5474782120809643,7.5621599618482378,8.7672825682263245,6.9760043119036048,10.367967593601577,7.5129346188673294,{"$f":"SUMPRODUCT(Y$562:AE$562,Y718:AE718)/AF$562","v":8.0633938698613239},null,{"$f":"($K$99)*60/AH714","v":4.6446483308569269},5.8207721114636346,9.6795647511657439,11.222121687329695,8.9292855192366147,13.27099851981002,9.6165563121501823,{"$f":"SUMPRODUCT(AH$562:AN$562,AH718:AN718)/AO$562","v":9.9272816082890536},null,{"$f":"($L$99)*60/AQ714","v":4.4432222552840503},5.5683406678542422,9.2597877083855984,10.735448042726112,8.5420460962084963,12.695470522777441,9.1995117782048936,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ718:AW718)/AX$562","v":9.3996799608736055},null,{"$f":"($M$99)*60/AZ714","v":8.7087156203567364},10.913947708994314,18.14918390843577,21.041478163743179,16.742410348568651,24.883122224643785,18.031043085281592,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ718:BF718)/BG$562","v":18.880442283431659},null,{"$f":"($L$99)*60/BI714","v":4.4432222552840503},5.5683406678542422,9.2597877083855984,10.735448042726112,8.5420460962084963,12.695470522777441,9.1995117782048936,{"$f":"SUMPRODUCT(BI$562:BO$562,BI718:BO718)/BP$562","v":9.3948586181492004}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":719},{"$f":"60*$I$99/(1/($P$152/$P714+$Q$152/$Q714+$R$152/$R714+$S$152/$S714+$T$152/$T714+$U$152/$U714+$V$152/$V714))","v":8.0232136907966805},8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,{"$f":"SUMPRODUCT(P$463:V$463,P719:V719)/W$463","v":8.0232136907966805},null,{"$f":"60*$J$99/(1/($Y$152/$Y714+$Z$152/$Z714+$AA$152/$AA714+$AB$152/$AB714+$AC$152/$AC714+$AD$152/$AD714+$AE$152/$AE714))","v":8.0232136907966805},8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,8.0232136907966805,{"$f":"SUMPRODUCT(Y$463:AE$463,Y719:AE719)/AF$463","v":8.0232136907966805},null,{"$f":"AH718","v":4.6446483308569269},5.8207721114636346,9.6795647511657439,11.222121687329695,8.9292855192366147,13.27099851981002,9.6165563121501823,{"$f":"SUMPRODUCT(AH$463:AN$463,AH719:AN719)/AO$463","v":9.7389489001269851},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ714+$BA$152/$BA714+$BB$152/$BB714+$BC$152/$BC714+$BD$152/$BD714+$BE$152/$BE714+$BF$152/$BF714))","v":18.989953294661213},18.989953294661213,18.989953294661213,18.989953294661213,18.989953294661213,18.989953294661213,18.989953294661213,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ719:BF719)/BG$463","v":18.989953294661209}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":720},{"$f":"($I$93)*60/P715","v":18.389355683366585},27.123044858024155,52.767742624316902,47.088853368690529,41.198384484171001,61.2746302558377,36.976886049629165,{"$f":"SUMPRODUCT(P$562:V$562,P720:V720)/W$562","v":46.740314452632141},null,{"$f":"($J$93)*60/Y715","v":18.389355683366585},27.123044858024155,52.767742624316902,47.088853368690529,41.198384484171001,61.2746302558377,36.976886049629165,{"$f":"SUMPRODUCT(Y$562:AE$562,Y720:AE720)/AF$562","v":46.948032256498152},null,{"$f":"($K$93)*60/AH715","v":27.584033525049882},40.684567287036238,79.151613936475357,70.633280053035804,61.797576726256509,91.91194538375656,55.465329074443758,{"$f":"SUMPRODUCT(AH$562:AN$562,AH720:AN720)/AO$562","v":67.364205146781629},null,{"$f":"($L$93)*60/AQ715","v":6.6115702479338836},9.7516149833836359,18.97171620325614,16.929971191071083,14.812156434869696,22.030218422447707,13.294390726701796,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ720:AW720)/AX$562","v":16.09226713852139},null,{"$f":"($M$93)*60/AZ715","v":16.961695569840352},25.017343605195112,48.671111794902018,43.433103874053671,37.999942337393129,56.517566055570292,34.106180504289711,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ720:BF720)/BG$562","v":42.910617348730554},null,{"$f":"($L$93)*60/BI715","v":6.6115702479338836},9.7516149833836359,18.97171620325614,16.929971191071083,14.812156434869696,22.030218422447707,13.294390726701796,{"$f":"SUMPRODUCT(BI$562:BO$562,BI720:BO720)/BP$562","v":15.982534608475472}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":721},{"$f":"60*$I$93/(1/($P$152/$P715+$Q$152/$Q715+$R$152/$R715+$S$152/$S715+$T$152/$T715+$U$152/$U715+$V$152/$V715))","v":46.839302984547693},46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,{"$f":"SUMPRODUCT(P$562:V$562,P721:V721)/W$562","v":46.8393029845477},null,{"$f":"60*$J$93/(1/($Y$152/$Y715+$Z$152/$Z715+$AA$152/$AA715+$AB$152/$AB715+$AC$152/$AC715+$AD$152/$AD715+$AE$152/$AE715))","v":46.839302984547693},46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,46.839302984547693,{"$f":"SUMPRODUCT(Y$562:AE$562,Y721:AE721)/AF$562","v":46.839302984547693},null,{"$f":"AH720","v":27.584033525049882},40.684567287036238,79.151613936475357,70.633280053035804,61.797576726256509,91.91194538375656,55.465329074443758,{"$f":"SUMPRODUCT(AH$562:AN$562,AH721:AN721)/AO$562","v":67.364205146781629},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ715+$BA$152/$BA715+$BB$152/$BB715+$BC$152/$BC715+$BD$152/$BD715+$BE$152/$BE715+$BF$152/$BF715))","v":43.35937763961779},43.35937763961779,43.35937763961779,43.35937763961779,43.35937763961779,43.35937763961779,43.35937763961779,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ721:BF721)/BG$562","v":43.35937763961779}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":722},{"$f":"SUM(P718:P721)","v":76.880503867192928},86.533039745449486,115.19241926150951,110.71865261226122,103.03690547141898,126.50511452478364,99.352337343840873,109.47368211436296,null,{"$f":"SUM(Y718:Y721)","v":76.880503867192928},86.533039745449486,115.19241926150951,110.71865261226122,103.03690547141898,126.50511452478364,99.352337343840873,109.87394280170385,null,{"$f":"SUM(AH718:AH721)","v":64.457363711813628},93.010678796999741,177.6623573752822,163.71080348073099,141.45372449098625,210.36588780713316,130.16377077318788,154.39464080197928,null,{"$f":"AQ718+AQ720","v":11.054792503217934},15.319955651237878,28.231503911641738,27.665419233797195,23.354202531078194,34.725688945225144,22.493902504906689,25.491947099394995,null,{"$f":"SUM(AZ718:AZ721)","v":88.019742124476096},98.280622248468433,129.16962663761677,126.82391297207586,117.09168362024077,143.75001921449308,114.4865545238503,124.14039056644121,null,{"$f":"BI718+BI720","v":11.054792503217934},15.319955651237878,28.231503911641738,27.665419233797195,23.354202531078194,34.725688945225144,22.493902504906689,25.377393226624672]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":723}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"(figures are shown for different trip types and time periods, at right)",null,null,null,null,null,null,null,{"$f":"ROW()","v":724},{"$f":"P722/P674","v":0.99392905929022934},0.99295083757413516,0.99303683152158784,0.99257311869662612,0.99369483141771398,0.98966429201560535,0.99293665604844472,0.99196105099716592,null,{"$f":"Y722/Y674","v":0.99392905929022934},0.99295083757413516,0.99303683152158784,0.99257311869662612,0.99369483141771398,0.98966429201560535,0.99293665604844472,0.99170263835556938,null,{"$f":"AH722/AH674","v":0.99952402071602431},0.99547836118720412,0.9952786759955915,0.99458640955801292,0.99681734598183258,0.98952887994631222,0.9953014914083278,0.99324012577885812,null,{"$f":"AQ722/AQ674","v":0.99867365788754747},0.99029848518398389,0.98143574588252835,0.97985827467235642,0.98566206285307778,0.97126589456637025,0.98463415451791603,0.9794379119167157,null,{"$f":"AZ722/AZ674","v":0.98726790119454944},0.98584597384888928,0.98380365859862051,0.98300881708010124,0.98529799906750415,0.978706755819993,0.98466654208858873,0.98257417197138097,null,{"$f":"BI722/BI674","v":0.99867365788754747},0.99029848518398389,0.98143574588252835,0.97985827467235642,0.98566206285307778,0.97126589456637025,0.98463415451791603,0.97943124477844901]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":725}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":726}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$714,G$666,G$618,G$567,G$483)","v":20.652707315010826},16.39661717605172,9.9390706767484218,8.5155258792030537,10.70052845530768,7.1474408850290301,9.9003081174692227,null,{"$f":"ROW()","v":727},{"$f":"G727","v":20.652707315010826},16.39661717605172,9.9390706767484218,8.5155258792030537,10.70052845530768,7.1474408850290301,9.9003081174692227,null,null,{"$f":"G727","v":20.652707315010826},16.39661717605172,9.9390706767484218,8.5155258792030537,10.70052845530768,7.1474408850290301,9.9003081174692227,null,null,{"$f":"P727","v":20.652707315010826},16.39661717605172,9.9390706767484218,8.5155258792030537,10.70052845530768,7.1474408850290301,9.9003081174692227,null,null,{"$f":"G727*$AU$198","v":20.23965316871061},16.068684832530685,9.7402892632134535,8.3452153616189921,10.486517886201526,7.0044920673284494,9.7023019551198377,null,null,{"$f":"G727","v":20.652707315010826},16.39661717605172,9.9390706767484218,8.5155258792030537,10.70052845530768,7.1474408850290301,9.9003081174692227,null,null,{"$f":"Y727*$AU$198","v":20.23965316871061},{"$f":"Z727*$AU$198","v":16.068684832530685},{"$f":"AA727*$AU$198","v":9.7402892632134535},{"$f":"AB727*$AU$198","v":8.3452153616189921},{"$f":"AC727*$AU$198","v":10.486517886201526},{"$f":"AD727*$AU$198","v":7.0044920673284494},{"$f":"AE727*$AU$198","v":9.7023019551198377}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$715,G$667,G$619,G$568,G$507)","v":55},37.372724270160312,19.143814025315674,21.44174858028914,24.500050874467615,16.510356532948567,27.319839720373039,null,{"$f":"ROW()","v":728},55,37.372724270160312,19.143814025315674,21.44174858028914,24.500050874467615,16.510356532948567,27.319839720373039,null,null,55,37.372724270160312,19.143814025315674,21.44174858028914,24.500050874467615,16.510356532948567,27.319839720373039,null,null,55,37.372724270160312,19.143814025315674,21.44174858028914,24.500050874467615,16.510356532948567,27.319839720373039,null,null,{"$f":"G728*$AV$198","v":54.45},36.998997027458707,18.952375885062516,21.227331094486249,24.255050365722937,16.345252967619082,27.046641323169307,null,null,55,37.372724270160312,19.143814025315674,21.44174858028914,24.500050874467615,16.510356532948567,27.319839720373039,null,null,{"$f":"Y728*$AV$198","v":54.45},{"$f":"Z728*$AV$198","v":36.998997027458707},{"$f":"AA728*$AV$198","v":18.952375885062516},{"$f":"AB728*$AV$198","v":21.227331094486249},{"$f":"AC728*$AV$198","v":24.255050365722937},{"$f":"AD728*$AV$198","v":16.345252967619082},{"$f":"AE728*$AV$198","v":27.046641323169307}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":729}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":730},{"$f":"P724^Elasticities!$G$67","v":1.0061080221500978},{"$f":"Q724^Elasticities!$G$67","v":1.0070992058812163},{"$f":"R724^Elasticities!$G$67","v":1.0070119941752238},{"$f":"S724^Elasticities!$G$67","v":1.0074824525906225},{"$f":"T724^Elasticities!$G$67","v":1.0063451759865656},{"$f":"U724^Elasticities!$G$67","v":1.010443650506319},{"$f":"V724^Elasticities!$G$67","v":1.007113589682211},null,null,{"$f":"Y724^Elasticities!$H$67","v":1.0061080221500978},{"$f":"Z724^Elasticities!$H$67","v":1.0070992058812163},{"$f":"AA724^Elasticities!$H$67","v":1.0070119941752238},{"$f":"AB724^Elasticities!$H$67","v":1.0074824525906225},{"$f":"AC724^Elasticities!$H$67","v":1.0063451759865656},{"$f":"AD724^Elasticities!$H$67","v":1.010443650506319},{"$f":"AE724^Elasticities!$H$67","v":1.007113589682211},null,null,{"$f":"AH724^Elasticities!$I$67","v":1.000476205948142},{"$f":"AI724^Elasticities!$I$67","v":1.004542176896144},{"$f":"AJ724^Elasticities!$I$67","v":1.0047437206465673},{"$f":"AK724^Elasticities!$I$67","v":1.0054430569229202},{"$f":"AL724^Elasticities!$I$67","v":1.0031928156457115},{"$f":"AM724^Elasticities!$I$67","v":1.0105819246571721},{"$f":"AN724^Elasticities!$I$67","v":1.0047206887885036},null,null,{"$f":"AQ724^Elasticities!$G$69","v":1.0007966506473072},{"$f":"AR724^Elasticities!$G$69","v":1.0058664693930297},{"$f":"AS724^Elasticities!$G$69","v":1.0113066823421837},{"$f":"AT724^Elasticities!$G$69","v":1.0122832279998484},{"$f":"AU724^Elasticities!$G$69","v":1.008702681191967},{"$f":"AV724^Elasticities!$G$69","v":1.0176469061519104},{"$f":"AW724^Elasticities!$G$69","v":1.0093343701353494},null,null,{"$f":"AZ724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0042804171262463},{"$f":"BA724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0047630238801535},{"$f":"BB724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0054578185148704},{"$f":"BC724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0057287432857762},{"$f":"BD724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0049492561201843},{"$f":"BE724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0072002029439291},{"$f":"BF724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0051640315769756},null,null,{"$f":"BI724^Elasticities!$G$69","v":1.0007966506473072},{"$f":"BJ724^Elasticities!$G$69","v":1.0058664693930297},{"$f":"BK724^Elasticities!$G$69","v":1.0113066823421837},{"$f":"BL724^Elasticities!$G$69","v":1.0122832279998484},{"$f":"BM724^Elasticities!$G$69","v":1.008702681191967},{"$f":"BN724^Elasticities!$G$69","v":1.0176469061519104},{"$f":"BO724^Elasticities!$G$69","v":1.0093343701353494}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":731},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":732},{"$f":"(P679/P727)^Elasticities!$G$67","v":1.0001966448270094},{"$f":"(Q679/Q727)^Elasticities!$G$67","v":1.0014664766326273},{"$f":"(R679/R727)^Elasticities!$G$67","v":0.9994652922949272},{"$f":"(S679/S727)^Elasticities!$G$67","v":1.0011464624230275},{"$f":"(T679/T727)^Elasticities!$G$67","v":1.0011838575446435},{"$f":"(U679/U727)^Elasticities!$G$67","v":1.0030304477816818},{"$f":"(V679/V727)^Elasticities!$G$67","v":1.0020869941764501},null,null,{"$f":"(Y679/Y727)^Elasticities!$H$67","v":1.0001966448270094},{"$f":"(Z679/Z727)^Elasticities!$H$67","v":1.0014664766326273},{"$f":"(AA679/AA727)^Elasticities!$H$67","v":0.9994652922949272},{"$f":"(AB679/AB727)^Elasticities!$H$67","v":1.0011464624230275},{"$f":"(AC679/AC727)^Elasticities!$H$67","v":1.0011838575446435},{"$f":"(AD679/AD727)^Elasticities!$H$67","v":1.0030304477816818},{"$f":"(AE679/AE727)^Elasticities!$H$67","v":1.0020869941764501},null,null,{"$f":"(AH679/AH727)^Elasticities!$I$67","v":1.0001966448270094},{"$f":"(AI679/AI727)^Elasticities!$I$67","v":1.0014664766326273},{"$f":"(AJ679/AJ727)^Elasticities!$I$67","v":0.9994652922949272},{"$f":"(AK679/AK727)^Elasticities!$I$67","v":1.0011464624230275},{"$f":"(AL679/AL727)^Elasticities!$I$67","v":1.0011838575446435},{"$f":"(AM679/AM727)^Elasticities!$I$67","v":1.0030304477816818},{"$f":"(AN679/AN727)^Elasticities!$I$67","v":1.0020869941764501},null,null,{"$f":"(AQ679/AQ727)^Elasticities!$G$69","v":1.0001179822563289},{"$f":"(AR679/AR727)^Elasticities!$G$69","v":1.0008796280895849},{"$f":"(AS679/AS727)^Elasticities!$G$69","v":0.99967914105891276},{"$f":"(AT679/AT727)^Elasticities!$G$69","v":1.0006877198130135},{"$f":"(AU679/AU727)^Elasticities!$G$69","v":1.0007101464373929},{"$f":"(AV679/AV727)^Elasticities!$G$69","v":1.0018171681910362},{"$f":"(AW679/AW727)^Elasticities!$G$69","v":1.0012516743489102},null,null,{"$f":"(AZ679/AZ727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000655439795627},{"$f":"(BA679/BA727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0004885867882813},{"$f":"(BB679/BB727)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99982173232083205},{"$f":"(BC679/BC727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0003820081921682},{"$f":"(BD679/BD727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0003944635595883},{"$f":"(BE679/BE727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0010091305734987},{"$f":"(BF679/BF727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0006951813364044},null,null,{"$f":"(BI679/BI727)^Elasticities!$G$69","v":1.0001179822563289},{"$f":"(BJ679/BJ727)^Elasticities!$G$69","v":1.0008796280895849},{"$f":"(BK679/BK727)^Elasticities!$G$69","v":0.99967914105891276},{"$f":"(BL679/BL727)^Elasticities!$G$69","v":1.0006877198130135},{"$f":"(BM679/BM727)^Elasticities!$G$69","v":1.0007101464373929},{"$f":"(BN679/BN727)^Elasticities!$G$69","v":1.0018171681910362},{"$f":"(BO679/BO727)^Elasticities!$G$69","v":1.0012516743489102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":733},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P734+$J$85*$J$93*Y734+$K$85*$K$93*AH734+$L$85*$L$93*AQ734+$M$85*$M$93*AZ734+$N$85*$N$93*BI734)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.99948042147555238,1.0002875965213871,1.00040591094015,1.0004769106473146,0.99994173181726842,1.0002813768329539,null,{"$f":"ROW()","v":734},{"$f":"(P680/P728)^Elasticities!$G$67","v":1},{"$f":"(Q680/Q728)^Elasticities!$G$67","v":0.99944600148493523},{"$f":"(R680/R728)^Elasticities!$G$67","v":1.0003066523273065},{"$f":"(S680/S728)^Elasticities!$G$67","v":1.0004328068830546},{"$f":"(T680/T728)^Elasticities!$G$67","v":1.000508511618613},{"$f":"(U680/U728)^Elasticities!$G$67","v":0.99993787135666534},{"$f":"(V680/V728)^Elasticities!$G$67","v":1.0003000205018446},null,null,{"$f":"(Y680/Y728)^Elasticities!$H$67","v":1},{"$f":"(Z680/Z728)^Elasticities!$H$67","v":0.99944600148493523},{"$f":"(AA680/AA728)^Elasticities!$H$67","v":1.0003066523273065},{"$f":"(AB680/AB728)^Elasticities!$H$67","v":1.0004328068830546},{"$f":"(AC680/AC728)^Elasticities!$H$67","v":1.000508511618613},{"$f":"(AD680/AD728)^Elasticities!$H$67","v":0.99993787135666534},{"$f":"(AE680/AE728)^Elasticities!$H$67","v":1.0003000205018446},null,null,{"$f":"(AH680/AH728)^Elasticities!$I$67","v":1},{"$f":"(AI680/AI728)^Elasticities!$I$67","v":0.99944600148493523},{"$f":"(AJ680/AJ728)^Elasticities!$I$67","v":1.0003066523273065},{"$f":"(AK680/AK728)^Elasticities!$I$67","v":1.0004328068830546},{"$f":"(AL680/AL728)^Elasticities!$I$67","v":1.000508511618613},{"$f":"(AM680/AM728)^Elasticities!$I$67","v":0.99993787135666534},{"$f":"(AN680/AN728)^Elasticities!$I$67","v":1.0003000205018446},null,null,{"$f":"(AQ680/AQ728)^Elasticities!$G$69","v":1},{"$f":"(AR680/AR728)^Elasticities!$G$69","v":0.99966756405171364},{"$f":"(AS680/AS728)^Elasticities!$G$69","v":1.0001839801137204},{"$f":"(AT680/AT728)^Elasticities!$G$69","v":1.000259661655756},{"$f":"(AU680/AU728)^Elasticities!$G$69","v":1.0003050759484413},{"$f":"(AV680/AV728)^Elasticities!$G$69","v":0.99996272235078953},{"$f":"(AW680/AW728)^Elasticities!$G$69","v":1.0001800015011426},null,null,{"$f":"(AZ680/AZ728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA680/BA728)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99981529971621708},{"$f":"(BB680/BB728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001022069958097},{"$f":"(BC680/BC728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001442481524883},{"$f":"(BD680/BD728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001694751494221},{"$f":"(BE680/BE728)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99997929002332153},{"$f":"(BF680/BF728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000999968342481},null,null,{"$f":"(BI680/BI728)^Elasticities!$G$69","v":1},{"$f":"(BJ680/BJ728)^Elasticities!$G$69","v":0.99966756405171364},{"$f":"(BK680/BK728)^Elasticities!$G$69","v":1.0001839801137204},{"$f":"(BL680/BL728)^Elasticities!$G$69","v":1.000259661655756},{"$f":"(BM680/BM728)^Elasticities!$G$69","v":1.0003050759484413},{"$f":"(BN680/BN728)^Elasticities!$G$69","v":0.99996272235078953},{"$f":"(BO680/BO728)^Elasticities!$G$69","v":1.0001800015011426}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":735},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 6 • (Rebound Effect 5)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":736},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":737},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":738}]
[null,"Period entries with fourth rebound effect but before fifth",null,null,null,null,{"$f":"P739+Y739+AH739+AQ739+AZ739+BI739","v":53756.466551284379},37042.817464829146,79046.409930263704,29773.088280680189,98565.060958841466,161264.33518351839,72095.164094867068,{"$f":"SUM(G739:M739)","v":531543.34246428427},{"$f":"ROW()","v":739},{"$f":"P693","v":6599.9992270372868},23455.952771193137,41059.032277354418,12834.041377256483,36144.083690700434,37180.092870978529,12962.206908990865,{"$f":"SUM(P739:V739)","v":170235.40912351114},null,{"$f":"Y693","v":16943.987613687419},3595.5186551733677,9313.8233834280891,6730.6501563415522,26667.970879694596,55139.20781592284,22480.326868481316,{"$f":"SUM(Y739:AE739)","v":140871.48537272919},null,{"$f":"AH693","v":15089.998814209066},4972.8621669339364,6991.1614764229544,2612.1310141472759,11518.093178640022,22666.875805478187,14871.196340379884,{"$f":"SUM(AH739:AN739)","v":78722.31879621133},null,{"$f":"AQ693","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ739:AW739)","v":36892.383966688518},null,{"$f":"AZ693","v":3733.0450326524438},3247.1929971203244,6188.6704941420558,2290.1304202013694,7624.7996779660807,11968.202851254204,4794.4454955470019,{"$f":"SUM(AZ739:BF739)","v":39846.486968883473},null,{"$f":"BI693","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI739:BO739)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O693,\".\")","v":"Above row repeats figures in Row 693."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":740},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O741, \" figures are set equal to Row \",$O739, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 741 figures are set equal to Row 739 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O741, \" figures are set equal to Row \",$O739, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 741 figures are set equal to Row 739 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P741+Y741+AH741+AQ741+AZ741+BI741","v":53923.438681492735},37272.915507305865,79466.56485819105,29946.817704598892,99038.126733749261,162554.51835627033,72442.248695226677,{"$f":"SUM(G741:M741)","v":534644.63053683483},{"$f":"ROW()","v":741},{"$f":"P739*P730","v":6640.312168506659},23622.471409055921,41346.937972523556,12930.071483407892,36373.424262591085,37568.388766715514,13054.414730317347,{"$f":"SUM(P741:V741)","v":171536.02079311796},null,{"$f":"Y739*Y730","v":17047.481865342805},3621.0439823561974,9379.13185874175,6781.0119270404439,26837.183848130866,55715.062431547631,22640.242689745675,{"$f":"SUM(Y741:AE741)","v":142021.15860290537},null,{"$f":"AH739*AH730","v":15097.184761401848},4995.4497865762924,7024.3255934621475,2626.348991947405,11554.868326749547,22906.734977465236,14941.398630215552,{"$f":"SUM(AH741:AN741)","v":79146.311067818038},null,{"$f":"AQ739","v":2970.2068778820894},{"$f":"AR739","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ741:AW741)","v":36892.383966688518},null,{"$f":"AZ739*AZ730","v":3749.0240225432581},3262.6594549090755,6222.4471345474167,2303.2499894696498,7662.5367644374337,12054.376340657345,4819.2041634800953,{"$f":"SUM(AZ741:BF741)","v":40073.497870044273},null,{"$f":"BI739","v":8419.2289858160748},{"$f":"BJ739","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI741:BO741)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,82096.464023731809,54492.028574127013,116554.43309063758,43709.965587685474,145403.83005227454,240883.15274357225,108462.65479606597,{"$f":"SUM(G742:M742)","v":791602.52886809467},{"$f":"ROW()","v":742},{"$f":"P741*$I$99","v":8300.3902106333244},29528.089261319903,51683.672465654447,16162.589354259864,45466.780328238856,46960.485958394391,16318.018412896683,{"$f":"SUM(P742:V742)","v":214420.02599139747},null,{"$f":"Y741*$J$99","v":21309.352331678507},4526.3049779452467,11723.914823427187,8476.2649088005546,33546.479810163582,69643.828039434535,28300.303362182094,{"$f":"SUM(Y742:AE742)","v":177526.44825363171},null,{"$f":"AH741*$K$99","v":24155.49561824296},7992.7196585220681,11238.920949539437,4202.1583871158482,18487.789322799275,36650.775963944376,23906.237808344886,{"$f":"SUM(AH742:AN742)","v":126634.09770850887},null,{"$f":"AQ741*$L$99","v":4455.3103168231337},{"$f":"AR741*$L$99","v":1771.0156370266441},11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ742:AW742)","v":55338.575950032769},null,{"$f":"AZ741*$M$99","v":11247.072067629775},9787.978364727227,18667.341403642251,6909.7499684089489,22987.6102933123,36163.129021972039,14457.612490440286,{"$f":"SUM(AZ742:BF742)","v":120220.49361013282},null,{"$f":"BI741*$L$99","v":12628.843478724113},{"$f":"BJ741*$L$99","v":885.92067458592396},11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI742:BO742)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":743}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":744}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P745+Y745+AH745+AQ745+AZ745+BI745","v":60445.588482273954},12236.486030753833,72936.176165355835,23953.878332063134,93126.688063795998,192378.50560700498,76466.019783036609,{"$f":"SUM(G745:M745)","v":531543.34246428427},{"$f":"ROW()","v":745},{"$f":"P$152*$W739","v":19859.903734121748},3885.73708332243,21636.698820168371,7127.6054703368154,30021.117660351669,63623.122624006792,24081.223731203307,170235.40912351111,null,{"$f":"Y$152*$AF739","v":16434.266835493236},3215.4858822489668,17904.582348952328,5898.1640478136269,24842.771895327918,52648.763463730509,19927.450899162603,{"$f":"SUM(Y745:AE745)","v":140871.48537272919},null,{"$f":"AH$152*$AO739","v":9183.8571133299974},1796.8895837036634,10005.504207312788,3296.0336100368977,13882.728671108032,29421.37460006127,11135.931010658689,{"$f":"SUM(AH745:AN745)","v":78722.318796211344},null,{"$f":"AQ739","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ745:AW745)","v":36892.383966688518},null,{"$f":"AZ$152*$BG739","v":3578.1249356308049},1567.0826070703952,7895.6684900061509,2325.9398911422877,7769.9563051680325,12375.289079321803,4334.4256605439987,{"$f":"SUM(AZ745:BF745)","v":39846.486968883473},null,{"$f":"BI739","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI745:BO745)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":746}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":747},{"$f":"P745*$W741/$W739","v":20011.634932036784},3915.424414657396,21802.00486972744,7182.0609264537488,30250.481317212056,64109.20819320569,24265.206139824841,{"$f":"SUM(P747:V747)","v":171536.02079311796},null,{"$f":"Y745*$AF741/$AF739","v":16568.389341466303},3241.7279427415492,18050.704319410805,5946.2998454522849,25045.51746683845,53078.437885037107,20090.081801958866,{"$f":"SUM(Y747:AE747)","v":142021.15860290537},null,{"$f":"AH745*$AO741/$AO739","v":9233.32065174116},1806.5674909105537,10059.393072914054,3313.7857900918234,13957.499965391173,29579.835829877993,11195.908266891289,{"$f":"SUM(AH747:AN747)","v":79146.311067818053},null,{"$f":"AQ745*$AX741/$AX739","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ747:AW747)","v":36892.383966688518},null,{"$f":"AZ745*$BG741/$BG739","v":3598.5100041247429},1576.0104916064215,7940.6511962754121,2339.1910897020603,7814.2228118789917,12445.792798463119,4359.1194779935258,{"$f":"SUM(AZ747:BF747)","v":40073.497870044273},null,{"$f":"BI745*$AX741/$AX739","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI747:BO747)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":748}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P749+Y749+AH749+AQ749+AZ749+BI749","v":84106.988743699374},18557.682140734258,107163.30657819225,34699.483724960839,133581.04458364635,269748.37364086777,105545.2836298878,{"$f":"SUM(G749:M749)","v":753402.16304198862},{"$f":"ROW()","v":749},{"$f":"P747*$I$99","v":25014.543665045981},4894.2805183217451,27252.506087159301,8977.576158067186,37813.101646515068,80136.510241507116,30331.507674781053,{"$f":"SUM(P749:V749)","v":214420.02599139744},null,{"$f":"Y747*$J$99","v":20710.486676832879},4052.1599284269364,22563.380399263508,7432.8748068153564,31306.89683354806,66348.047356296389,25112.602252448582,{"$f":"SUM(Y749:AE749)","v":177526.44825363171},null,{"$f":"AH747*$K$99","v":14773.313042785856},2890.5079854568862,16095.028916662486,5302.057264146918,22331.999944625877,47327.737327804789,17913.453227026064,{"$f":"SUM(AH749:AN749)","v":126634.09770850888},null,{"$f":"AQ747*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR747*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS747*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT747*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU747*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV747*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW747*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ749:AW749)","v":41503.931962524584},null,{"$f":"AZ747*$M$99","v":10795.530012374229},4728.031474819265,23821.953588826236,7017.5732691061803,23442.668435636973,37337.378395389358,13077.358433980578,{"$f":"SUM(AZ749:BF749)","v":120220.49361013282},null,{"$f":"BI747*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ747*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK747*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL747*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM747*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN747*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO747*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI749:BO749)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":750},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":751},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O753, \" figures are set equal to Row \",$O752, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 753 figures are set equal to Row 752 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O753, \" figures are set equal to Row \",$O752, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 753 figures are set equal to Row 752 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P752+Y752+AH752+AQ752+AZ752+BI752","v":250518.2866653809},29849.645971523016,205067.73917967716,72600.916815196586,265819.61150695081,457368.5928226455,226803.5862350305,{"$f":"SUM(G752:M752)","v":1508028.3791964045},{"$f":"ROW()","v":752},{"$f":"P705","v":8475.6928501728307},{"$f":"Q705","v":2160.8478624706108},18018.971107575857,4757.2508336295796,17339.322218112677,33296.290878326792,11667.372758149968,{"$f":"SUM(P752:V752)","v":95715.748508438308},null,{"$f":"Y705","v":5959.6475645654773},{"$f":"Z705","v":1519.3910313428703},12669.963290971591,3345.0407944041394,12192.071050130624,23412.146045150475,8203.8637869667709,{"$f":"SUM(Y752:AE752)","v":67302.123563531946},null,{"$f":"AH705","v":0},{"$f":"AI705","v":0},0,0,0,0,0,{"$f":"SUM(AH752:AN752)","v":0},null,{"$f":"AQ705","v":98921.343502801625},{"$f":"AR705","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ752:AW752)","v":553825.51435896545},null,{"$f":"AZ705","v":5072.7757677172403},{"$f":"BA705","v":1444.8310137758442},8831.2084379712796,2584.9288187910347,9524.2141911781873,17793.654182110215,6414.8906837196255,{"$f":"SUM(AZ752:BF752)","v":51666.503095263426},null,{"$f":"BI705","v":132088.82698012373},{"$f":"BJ705","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI752:BO752)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250521.45779031084,29855.74888120791,205049.75525096132,72611.193252073484,265858.3294251074,457558.4008999723,226849.5169022574,{"$f":"SUM(G753:M753)","v":1508304.4024018906},{"$f":"ROW()","v":753},{"$f":"P752*P732","v":8477.3595513271375},2164.0166953675866,18009.336224887153,4762.7048429472525,17359.849505539594,33397.193549157251,11691.722497150698,{"$f":"SUM(P753:V753)","v":95862.182866376665},null,{"$f":"Y752*Y732","v":5960.8194984298489},1521.6191827861583,12663.188563976919,3348.8757579784178,12206.504725428151,23483.095331197412,8220.9852029145604,{"$f":"SUM(Y753:AE753)","v":67405.088262711462},null,{"$f":"AH752*AH732","v":0},0,0,0,0,0,0,{"$f":"SUM(AH753:AN753)","v":0},null,{"$f":"AQ752","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ753:AW753)","v":553825.51435896545},null,{"$f":"AZ752*AZ732","v":5073.1082576284862},1445.5369391204742,8829.6341189387949,2585.9162827759847,9527.9711466103199,17811.610302559646,6419.3501959980222,{"$f":"SUM(AZ753:BF753)","v":51693.127243631723},null,{"$f":"BI752","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI753:BO753)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,3.1711249299241899,6.1029096848938025,-17.983928715861111,10.276436876901244,38.717918156569795,189.80807732682661,45.930667226916739,{"$f":"W754+AF754+AO754+AX754+BG754+BP754","v":276.02320548616262},{"$f":"ROW()","v":754},{"$f":"P753-P752","v":1.6667011543067929},3.1688328969758004,-9.6348826887042378,5.4540093176728988,20.52728742691761,100.9026708304591,24.349739000730551,146.4343579383567,null,{"$f":"Y753-Y752","v":1.1719338643715673},2.2281514432879703,-6.7747269946721644,3.8349635742783903,14.433675297526861,70.949286046936322,17.121415947789501,102.96469917951617,null,{"$f":"AH753-AH752","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ753-AQ752","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ753-AZ752","v":0.33248991124582972},0.70592534463003176,-1.5743190324847092,0.98746398494995447,3.7569554321325995,17.956120449431182,4.4595122783966872,26.624148368297028,null,{"$f":"BI753-BI752","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":755}]
[null,"Total Cordon VMT before fifth rebound effect",null,null,null,null,{"$f":"P756+Y756+AH756+AQ756+AZ756+BI756","v":406508.99405944248},102238.0853908117,423890.55497215764,150589.52314772134,544093.23963773763,964553.30310639064,422628.86453170388,3014502.5648459657,{"$f":"ROW()","v":756},{"$f":"P709","v":41550.571551621622},{"$f":"Q709","v":36337.960180615068},96388.63497947935,29709.309393121199,100045.82390692781,159300.31024705846,57971.661058392681,{"$f":"SUM(P756:V756)","v":521304.27131721616},null,{"$f":"Y709","v":47682.465626041296},{"$f":"Z709","v":10033.146703120789},46692.970456447118,19131.058549598114,76580.499518908764,158147.11014471715,61213.58599652168,{"$f":"SUM(Y756:AE756)","v":419480.83699535491},null,{"$f":"AH709","v":38838.169484062499},{"$f":"AI709","v":10831.602801020159},27194.665093977186,9453.0633986946777,40641.314959596886,83341.20064886313,41611.403761661713,{"$f":"SUM(AH756:AN756)","v":251911.42014787626},null,{"$f":"AQ709","v":101102.94289294499},{"$f":"AR709","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ756:AW756)","v":632517.43270702334},null,{"$f":"AZ709","v":27006.285672566984},{"$f":"BA709","v":15887.657826348002},51084.225390415901,16433.139752822004,55708.482140580527,90824.129973838251,33801.504151992624,{"$f":"SUM(AZ756:BF756)","v":290745.42490856431},null,{"$f":"BI709","v":150328.55883220508},{"$f":"BJ709","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI756:BO756)","v":898543.17876993015}]
[null,"Total Cordon VMT with fifth rebound effect",null,null,null,null,407248.97265775903,102678.96286652118,425078.93659381586,151041.29305390781,545594.7711041416,968200.343579571,423779.86112129863,3023623.1409770153,{"$f":"ROW()","v":757},{"$f":"P742+P749+P753","v":41792.293427006443},36586.386475009233,96945.514777700897,29902.870355274303,100639.73148029351,160494.18974905874,58341.248584828427,{"$f":"SUM(P757:V757)","v":524702.2348491716},null,{"$f":"Y742+Y749+Y753","v":47980.658506941232},10100.084089158341,46950.48378666761,19258.015473594329,77059.881369139795,159474.97072692832,61633.890817545238,{"$f":"SUM(Y757:AE757)","v":422457.98476997484},null,{"$f":"AH742+AH749+AH753","v":38928.808661028816},10883.227643978955,27333.949866201925,9504.2156512627662,40819.789267425149,83978.513291749172,41819.691035370954,{"$f":"SUM(AH757:AN757)","v":253268.19541701773},null,{"$f":"AQ756","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ757:AW757)","v":632517.43270702334},null,{"$f":"AZ742+AZ749+AZ753","v":27115.710337632492},15961.546778666967,51318.929111407284,16513.239520291114,55958.249875559588,91312.117719921051,33954.321120418885,{"$f":"SUM(AZ757:BF757)","v":292134.11446389736},null,{"$f":"BI756","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI757:BO757)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with fifth rebound effect",null,null,null,null,{"$f":"G757/G$135","v":67874.828776293172},102678.96286652118,141692.97886460528,151041.29305390781,136398.6927760354,161366.7239299285,141259.95370709954,null,{"$f":"ROW()","v":758}]
[null,"Factor Change",null,null,null,null,{"$f":"G757/G756","v":1.0018203252797115},1.0043122626370027,1.0028035104998654,1.003000008876735,1.0027596951349804,1.003781066802047,1.0027234216263721,null,{"$f":"ROW()","v":759},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":760}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":761}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G758*$G$481/V_sub_k)^KSE)","v":20.659822845358686},16.421289929744987,9.8568407310081287,8.4919718773595534,10.69054967294697,7.160715329781878,9.9234917739455,null,{"$f":"ROW()","v":762},{"$f":"G762","v":20.659822845358686},16.421289929744987,9.8568407310081287,8.4919718773595534,10.69054967294697,7.160715329781878,9.9234917739455,null,null,{"$f":"G762","v":20.659822845358686},16.421289929744987,9.8568407310081287,8.4919718773595534,10.69054967294697,7.160715329781878,9.9234917739455,null,null,{"$f":"P762","v":20.659822845358686},16.421289929744987,9.8568407310081287,8.4919718773595534,10.69054967294697,7.160715329781878,9.9234917739455,null,null,{"$f":"G762*$AU$198","v":20.246626388451514},16.092864131150087,9.6597039163879668,8.3221324398123624,10.476738679488031,7.0175010231862407,9.7250219384665897,null,null,{"$f":"G762","v":20.659822845358686},16.421289929744987,9.8568407310081287,8.4919718773595534,10.69054967294697,7.160715329781878,9.9234917739455,null,null,{"$f":"Y762*$AU$198","v":20.246626388451514},{"$f":"Z762*$AU$198","v":16.092864131150087},{"$f":"AA762*$AU$198","v":9.6597039163879668},{"$f":"AB762*$AU$198","v":8.3221324398123624},{"$f":"AC762*$AU$198","v":10.476738679488031},{"$f":"AD762*$AU$198","v":7.0175010231862407},{"$f":"AE762*$AU$198","v":9.7250219384665897}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G715 / 'Speed-Vol., non-Cordon'!$Y$4)^G734,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H715 / 'Speed-Vol., non-Cordon'!$Y$4)^H734,'Speed-Vol., non-Cordon'!$Y$6)","v":37.314157973925319},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I715 / 'Speed-Vol., non-Cordon'!$Y$4)^I734,'Speed-Vol., non-Cordon'!$Y$6)","v":19.156712440356412},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J715 / 'Speed-Vol., non-Cordon'!$Y$4)^J734,'Speed-Vol., non-Cordon'!$Y$6)","v":21.463119321285674},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K715 / 'Speed-Vol., non-Cordon'!$Y$4)^K734,'Speed-Vol., non-Cordon'!$Y$6)","v":24.530295610603055},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L715 / 'Speed-Vol., non-Cordon'!$Y$4)^L734,'Speed-Vol., non-Cordon'!$Y$6)","v":16.508242919702649},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M715 / 'Speed-Vol., non-Cordon'!$Y$4)^M734,'Speed-Vol., non-Cordon'!$Y$6)","v":27.34058483546368},null,{"$f":"ROW()","v":763},55,37.314157973925319,19.156712440356412,21.463119321285674,24.530295610603055,16.508242919702649,27.34058483546368,"Avgs are wghtd by periods' cordon VMT.",null,55,37.314157973925319,19.156712440356412,21.463119321285674,24.530295610603055,16.508242919702649,27.34058483546368,"Avgs are wghtd by periods' cordon VMT.",null,55,37.314157973925319,19.156712440356412,21.463119321285674,24.530295610603055,16.508242919702649,27.34058483546368,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G763*$AV$198","v":54.45},36.941016394186065,18.965145315952846,21.248488128072818,24.284992654497024,16.343160490505621,27.067178987109042,"Avgs are wghtd by periods' cordon VMT.",null,55,37.314157973925319,19.156712440356412,21.463119321285674,24.530295610603055,16.508242919702649,27.34058483546368,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y763*$AV$198","v":54.45},{"$f":"Z763*$AV$198","v":36.941016394186065},{"$f":"AA763*$AV$198","v":18.965145315952846},{"$f":"AB763*$AV$198","v":21.248488128072818},{"$f":"AC763*$AV$198","v":24.284992654497024},{"$f":"AD763*$AV$198","v":16.343160490505621},{"$f":"AE763*$AV$198","v":27.067178987109042},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":764}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":765}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":766},{"$f":"($I$99)*60/P762","v":3.6302344197907321},4.5672416917837531,7.6089288694765411,8.831870981574669,7.0155419781446478,10.473813934212711,7.5578235673974472,{"$f":"SUMPRODUCT(P$562:V$562,P766:V766)/W$562","v":7.9299164340574082},null,{"$f":"($J$99)*60/Y762","v":3.6302344197907321},4.5672416917837531,7.6089288694765411,8.831870981574669,7.0155419781446478,10.473813934212711,7.5578235673974472,{"$f":"SUMPRODUCT(Y$562:AE$562,Y766:AE766)/AF$562","v":8.1262094194726728},null,{"$f":"($K$99)*60/AH762","v":4.6467000573321373},5.8460693654832037,9.7394289529299716,11.304794856415576,8.9798937320251486,13.40648183579227,9.6740141662687318,{"$f":"SUMPRODUCT(AH$562:AN$562,AH766:AN766)/AO$562","v":10.001804062694058},null,{"$f":"($L$99)*60/AQ762","v":4.4451850038253857},5.5925408470821463,9.3170557585427023,10.814535895805717,8.5904595650750775,12.825078286791074,9.254477837629528,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ766:AW766)/AX$562","v":9.4687574118427715},null,{"$f":"($M$99)*60/AZ762","v":8.7125626074977571},10.961380060281007,18.261429286743699,21.196490355779204,16.837300747547154,25.137153442110506,18.138776561753872,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ766:BF766)/BG$562","v":19.022211828318003},null,{"$f":"($L$99)*60/BI762","v":4.4451850038253857},5.5925408470821463,9.3170557585427023,10.814535895805717,8.5904595650750775,12.825078286791074,9.254477837629528,{"$f":"SUMPRODUCT(BI$562:BO$562,BI766:BO766)/BP$562","v":9.4639270425983462}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":767},{"$f":"60*$I$99/(1/($P$152/$P762+$Q$152/$Q762+$R$152/$R762+$S$152/$S762+$T$152/$T762+$U$152/$U762+$V$152/$V762))","v":8.0853813405965145},8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,{"$f":"SUMPRODUCT(P$463:V$463,P767:V767)/W$463","v":8.0853813405965145},null,{"$f":"60*$J$99/(1/($Y$152/$Y762+$Z$152/$Z762+$AA$152/$AA762+$AB$152/$AB762+$AC$152/$AC762+$AD$152/$AD762+$AE$152/$AE762))","v":8.0853813405965145},8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,8.0853813405965145,{"$f":"SUMPRODUCT(Y$463:AE$463,Y767:AE767)/AF$463","v":8.0853813405965163},null,{"$f":"AH766","v":4.6467000573321373},5.8460693654832037,9.7394289529299716,11.304794856415576,8.9798937320251486,13.40648183579227,9.6740141662687318,{"$f":"SUMPRODUCT(AH$463:AN$463,AH767:AN767)/AO$463","v":9.8110237115979277},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ762+$BA$152/$BA762+$BB$152/$BB762+$BC$152/$BC762+$BD$152/$BD762+$BE$152/$BE762+$BF$152/$BF762))","v":19.13257222881165},19.13257222881165,19.13257222881165,19.13257222881165,19.13257222881165,19.13257222881165,19.13257222881165,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ767:BF767)/BG$463","v":19.132572228811647}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":768},{"$f":"($I$93)*60/P763","v":18.389355683366585},27.10538351935816,52.796875546060285,47.123372304141711,41.2312423233899,61.267244945737694,36.993157559426038,{"$f":"SUMPRODUCT(P$562:V$562,P768:V768)/W$562","v":46.752462383869975},null,{"$f":"($J$93)*60/Y763","v":18.389355683366585},27.10538351935816,52.796875546060285,47.123372304141711,41.2312423233899,61.267244945737694,36.993157559426038,{"$f":"SUMPRODUCT(Y$562:AE$562,Y768:AE768)/AF$562","v":46.958032973197},null,{"$f":"($K$93)*60/AH763","v":27.584033525049882},40.658075279037242,79.195313319090431,70.685058456212573,61.84686348508486,91.900867418606552,55.489736339139064,{"$f":"SUMPRODUCT(AH$562:AN$562,AH768:AN768)/AO$562","v":67.378292943836144},null,{"$f":"($L$93)*60/AQ763","v":6.6115702479338836},9.7452651588833472,18.982190434216186,16.942381868777741,14.823969894565163,22.02756316375514,13.300240862612718,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ768:AW768)/AX$562","v":16.096386054639218},null,{"$f":"($M$93)*60/AZ763","v":16.961695569840352},25.001053406943122,48.697982978328973,43.46494292728638,38.030249253824017,56.510754105017917,34.121188773224645,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ768:BF768)/BG$562","v":42.921701260577308},null,{"$f":"($L$93)*60/BI763","v":6.6115702479338836},9.7452651588833472,18.982190434216186,16.942381868777741,14.823969894565163,22.02756316375514,13.300240862612718,{"$f":"SUMPRODUCT(BI$562:BO$562,BI768:BO768)/BP$562","v":15.986489399402947}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":769},{"$f":"60*$I$93/(1/($P$152/$P763+$Q$152/$Q763+$R$152/$R763+$S$152/$S763+$T$152/$T763+$U$152/$U763+$V$152/$V763))","v":46.84938397023636},46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,{"$f":"SUMPRODUCT(P$562:V$562,P769:V769)/W$562","v":46.84938397023636},null,{"$f":"60*$J$93/(1/($Y$152/$Y763+$Z$152/$Z763+$AA$152/$AA763+$AB$152/$AB763+$AC$152/$AC763+$AD$152/$AD763+$AE$152/$AE763))","v":46.84938397023636},46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,46.84938397023636,{"$f":"SUMPRODUCT(Y$562:AE$562,Y769:AE769)/AF$562","v":46.849383970236353},null,{"$f":"AH768","v":27.584033525049882},40.658075279037242,79.195313319090431,70.685058456212573,61.84686348508486,91.900867418606552,55.489736339139064,{"$f":"SUMPRODUCT(AH$562:AN$562,AH769:AN769)/AO$562","v":67.378292943836144},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ763+$BA$152/$BA763+$BB$152/$BB763+$BC$152/$BC763+$BD$152/$BD763+$BE$152/$BE763+$BF$152/$BF763))","v":43.371346809683757},43.371346809683757,43.371346809683757,43.371346809683757,43.371346809683757,43.371346809683757,43.371346809683757,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ769:BF769)/BG$562","v":43.371346809683757}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":770},{"$f":"SUM(P766:P769)","v":76.954355413990186},86.607390521974793,115.34056972636971,110.89000859654925,103.18154961236742,126.67582419078327,99.48574643765636,109.61714412876026,null,{"$f":"SUM(Y766:Y769)","v":76.954355413990186},86.607390521974793,115.34056972636971,110.89000859654925,103.18154961236742,126.67582419078327,99.48574643765636,110.01900770350255,null,{"$f":"SUM(AH766:AH769)","v":64.461467164764031},93.008289289040889,177.8694845440408,163.97970662525631,141.65351443422003,210.61469850879763,130.32750101081558,154.56941366196429,null,{"$f":"AQ766+AQ768","v":11.05675525175927},15.337806005965493,28.299246192758886,27.756917764583456,23.414429459640239,34.852641450546216,22.554718700242248,25.565143466481992,null,{"$f":"SUM(AZ766:AZ769)","v":88.178177215833514},98.466352505719527,129.46333130356808,127.16535232156099,117.37146903986658,144.15182658562384,114.76388437347393,124.44783212739071,null,{"$f":"BI766+BI768","v":11.05675525175927},15.337806005965493,28.299246192758886,27.756917764583456,23.414429459640239,34.852641450546216,22.554718700242248,25.450416442001291]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":771}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":772},{"$f":"P770/P722","v":1.0009606017531418},1.0008592183603398,1.0012861129734922,1.0015476704263022,1.0014038090554707,1.0013494289668912,1.001342787672461,1.001310470348914,null,{"$f":"Y770/Y722","v":1.0009606017531418},1.0008592183603398,1.0012861129734922,1.0015476704263022,1.0014038090554707,1.0013494289668912,1.001342787672461,1.001320284847341,null,{"$f":"AH770/AH722","v":1.0000636615076091},0.99997430931598652,1.0011658472386533,1.0016425497817374,1.0014124049681457,1.00118275212896,1.0012578787219757,1.0011319878661409,null,{"$f":"AQ770/AQ722","v":1.0001775472982206},1.0011651701306441,1.0023995278937023,1.0033073249320033,1.0025788475749451,1.0036558671455396,1.0027036747101705,1.0028713525413182,null,{"$f":"AZ770/AZ722","v":1.0017999949503755},1.0018897952923165,1.0022737904691426,1.0026922316263835,1.0023894559457631,1.0027951813385931,1.0024223792110527,1.0024765635064194,null,{"$f":"BI770/BI722","v":1.0001775472982206},1.0011651701306441,1.0023995278937023,1.0033073249320033,1.0025788475749451,1.0036558671455396,1.0027036747101705,1.0028774907936566]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":773},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":774}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$762,G$714,G$666,G$618,G$567,G$483)","v":20.65389323673547},16.400729301667266,9.9253656857917072,8.511600212229137,10.698865324914225,7.1496532924878382,9.9041720602152683,null,{"$f":"ROW()","v":775},{"$f":"G775","v":20.65389323673547},16.400729301667266,9.9253656857917072,8.511600212229137,10.698865324914225,7.1496532924878382,9.9041720602152683,null,null,{"$f":"G775","v":20.65389323673547},16.400729301667266,9.9253656857917072,8.511600212229137,10.698865324914225,7.1496532924878382,9.9041720602152683,null,null,{"$f":"P775","v":20.65389323673547},16.400729301667266,9.9253656857917072,8.511600212229137,10.698865324914225,7.1496532924878382,9.9041720602152683,null,null,{"$f":"G775*$AU$198","v":20.24081537200076},16.072714715633921,9.7268583720758723,8.3413682079845533,10.484888018415941,7.0066602266380817,9.7060886190109628,null,null,{"$f":"G775","v":20.65389323673547},16.400729301667266,9.9253656857917072,8.511600212229137,10.698865324914225,7.1496532924878382,9.9041720602152683,null,null,{"$f":"Y775*$AU$198","v":20.24081537200076},{"$f":"Z775*$AU$198","v":16.072714715633921},{"$f":"AA775*$AU$198","v":9.7268583720758723},{"$f":"AB775*$AU$198","v":8.3413682079845533},{"$f":"AC775*$AU$198","v":10.484888018415941},{"$f":"AD775*$AU$198","v":7.0066602266380817},{"$f":"AE775*$AU$198","v":9.7060886190109628}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$763,G$715,G$667,G$619,G$568,G$507)","v":55},37.362963220787812,19.145963761155798,21.445310370455232,24.505091663823521,16.510004264074247,27.323297239554808,null,{"$f":"ROW()","v":776},55,37.362963220787812,19.145963761155798,21.445310370455232,24.505091663823521,16.510004264074247,27.323297239554808,null,null,55,37.362963220787812,19.145963761155798,21.445310370455232,24.505091663823521,16.510004264074247,27.323297239554808,null,null,55,37.362963220787812,19.145963761155798,21.445310370455232,24.505091663823521,16.510004264074247,27.323297239554808,null,null,{"$f":"G776*$AV$198","v":54.45},36.989333588579932,18.95450412354424,21.230857266750679,24.260040747185286,16.344904221433506,27.050064267159261,null,null,55,37.362963220787812,19.145963761155798,21.445310370455232,24.505091663823521,16.510004264074247,27.323297239554808,null,null,{"$f":"Y776*$AV$198","v":54.45},{"$f":"Z776*$AV$198","v":36.989333588579932},{"$f":"AA776*$AV$198","v":18.95450412354424},{"$f":"AB776*$AV$198","v":21.230857266750679},{"$f":"AC776*$AV$198","v":24.260040747185286},{"$f":"AD776*$AV$198","v":16.344904221433506},{"$f":"AE776*$AV$198","v":27.050064267159261}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":777}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":778},{"$f":"P772^Elasticities!$G$67","v":0.99904032011703625},{"$f":"Q772^Elasticities!$G$67","v":0.99914151926207229},{"$f":"R772^Elasticities!$G$67","v":0.99871553898847865},{"$f":"S772^Elasticities!$G$67","v":0.99845472115606493},{"$f":"T772^Elasticities!$G$67","v":0.99859815886181347},{"$f":"U772^Elasticities!$G$67","v":0.99865238953770274},{"$f":"V772^Elasticities!$G$67","v":0.99865901298836712},null,null,{"$f":"Y772^Elasticities!$H$67","v":0.99904032011703625},{"$f":"Z772^Elasticities!$H$67","v":0.99914151926207229},{"$f":"AA772^Elasticities!$H$67","v":0.99871553898847865},{"$f":"AB772^Elasticities!$H$67","v":0.99845472115606493},{"$f":"AC772^Elasticities!$H$67","v":0.99859815886181347},{"$f":"AD772^Elasticities!$H$67","v":0.99865238953770274},{"$f":"AE772^Elasticities!$H$67","v":0.99865901298836712},null,null,{"$f":"AH772^Elasticities!$I$67","v":0.99993634254492048},{"$f":"AI772^Elasticities!$I$67","v":1.0000256913440417},{"$f":"AJ772^Elasticities!$I$67","v":0.99883551037835649},{"$f":"AK772^Elasticities!$I$67","v":0.99836014376376547},{"$f":"AL772^Elasticities!$I$67","v":0.99858958710603296},{"$f":"AM772^Elasticities!$I$67","v":0.99881864512103813},{"$f":"AN772^Elasticities!$I$67","v":0.99874370154911418},null,null,{"$f":"AQ772^Elasticities!$G$69","v":0.99989348674980039},{"$f":"AR772^Elasticities!$G$69","v":0.9993015489225372},{"$f":"AS772^Elasticities!$G$69","v":0.99856304124114625},{"$f":"AT772^Elasticities!$G$69","v":0.99802084046703321},{"$f":"AU772^Elasticities!$G$69","v":0.99845587655525225},{"$f":"AV772^Elasticities!$G$69","v":0.9978128748277425},{"$f":"AW772^Elasticities!$G$69","v":0.99838129570357836},null,null,{"$f":"AZ772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99940072067268648},{"$f":"BA772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99937086069927639},{"$f":"BB772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9992432167318428},{"$f":"BC772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9991041967840637},{"$f":"BD772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.999204781109166},{"$f":"BE772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99907000535211443},{"$f":"BF772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99919384179358739},null,null,{"$f":"BI772^Elasticities!$G$69","v":0.99989348674980039},{"$f":"BJ772^Elasticities!$G$69","v":0.9993015489225372},{"$f":"BK772^Elasticities!$G$69","v":0.99856304124114625},{"$f":"BL772^Elasticities!$G$69","v":0.99802084046703321},{"$f":"BM772^Elasticities!$G$69","v":0.99845587655525225},{"$f":"BN772^Elasticities!$G$69","v":0.9978128748277425},{"$f":"BO772^Elasticities!$G$69","v":0.99838129570357836}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":779},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":780},{"$f":"(P727/P775)^Elasticities!$G$67","v":1.0000574220951546},{"$f":"(Q727/Q775)^Elasticities!$G$67","v":1.0002507910974192},{"$f":"(R727/R775)^Elasticities!$G$67","v":0.99862109935602172},{"$f":"(S727/S775)^Elasticities!$G$67","v":0.99953899887927},{"$f":"(T727/T775)^Elasticities!$G$67","v":0.99984457492913537},{"$f":"(U727/U775)^Elasticities!$G$67","v":1.0003095384060388},{"$f":"(V727/V775)^Elasticities!$G$67","v":1.0003902851002413},null,null,{"$f":"(Y727/Y775)^Elasticities!$H$67","v":1.0000574220951546},{"$f":"(Z727/Z775)^Elasticities!$H$67","v":1.0002507910974192},{"$f":"(AA727/AA775)^Elasticities!$H$67","v":0.99862109935602172},{"$f":"(AB727/AB775)^Elasticities!$H$67","v":0.99953899887927},{"$f":"(AC727/AC775)^Elasticities!$H$67","v":0.99984457492913537},{"$f":"(AD727/AD775)^Elasticities!$H$67","v":1.0003095384060388},{"$f":"(AE727/AE775)^Elasticities!$H$67","v":1.0003902851002413},null,null,{"$f":"(AH727/AH775)^Elasticities!$I$67","v":1.0000574220951546},{"$f":"(AI727/AI775)^Elasticities!$I$67","v":1.0002507910974192},{"$f":"(AJ727/AJ775)^Elasticities!$I$67","v":0.99862109935602172},{"$f":"(AK727/AK775)^Elasticities!$I$67","v":0.99953899887927},{"$f":"(AL727/AL775)^Elasticities!$I$67","v":0.99984457492913537},{"$f":"(AM727/AM775)^Elasticities!$I$67","v":1.0003095384060388},{"$f":"(AN727/AN775)^Elasticities!$I$67","v":1.0003902851002413},null,null,{"$f":"(AQ727/AQ775)^Elasticities!$G$69","v":1.0000344528614278},{"$f":"(AR727/AR775)^Elasticities!$G$69","v":1.0001504671117938},{"$f":"(AS727/AS775)^Elasticities!$G$69","v":0.99917243130263245},{"$f":"(AT727/AT775)^Elasticities!$G$69","v":0.99972337381943011},{"$f":"(AU727/AU775)^Elasticities!$G$69","v":0.99990674205843677},{"$f":"(AV727/AV775)^Elasticities!$G$69","v":1.0001857115476009},{"$f":"(AW727/AW775)^Elasticities!$G$69","v":1.000234152784778},null,null,{"$f":"(AZ727/AZ775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000191403320302},{"$f":"(BA727/BA775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000835900449827},{"$f":"(BB727/BB775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99954015502702065},{"$f":"(BC727/BC775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99984630934014773},{"$f":"(BD727/BD775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994818895870741},{"$f":"(BE727/BE775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001031688245072},{"$f":"(BF727/BF775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001300781123648},null,null,{"$f":"(BI727/BI775)^Elasticities!$G$69","v":1.0000344528614278},{"$f":"(BJ727/BJ775)^Elasticities!$G$69","v":1.0001504671117938},{"$f":"(BK727/BK775)^Elasticities!$G$69","v":0.99917243130263245},{"$f":"(BL727/BL775)^Elasticities!$G$69","v":0.99972337381943011},{"$f":"(BM727/BM775)^Elasticities!$G$69","v":0.99990674205843677},{"$f":"(BN727/BN775)^Elasticities!$G$69","v":1.0001857115476009},{"$f":"(BO727/BO775)^Elasticities!$G$69","v":1.000234152784778}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":781},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P782+$J$85*$J$93*Y782+$K$85*$K$93*AH782+$L$85*$L$93*AQ782+$M$85*$M$93*AZ782+$N$85*$N$93*BI782)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.99975504711144192,1.0001053161984721,1.0001557924288922,1.000192960999382,0.99997998953525302,1.000118692945736,null,{"$f":"ROW()","v":782},{"$f":"(P728/P776)^Elasticities!$G$67","v":1},{"$f":"(Q728/Q776)^Elasticities!$G$67","v":0.99973881889631755},{"$f":"(R728/R776)^Elasticities!$G$67","v":1.0001122940202658},{"$f":"(S728/S776)^Elasticities!$G$67","v":1.0001661147248675},{"$f":"(T728/T776)^Elasticities!$G$67","v":1.0002057460770892},{"$f":"(U728/U776)^Elasticities!$G$67","v":0.99997866376334055},{"$f":"(V728/V776)^Elasticities!$G$67","v":1.0001265570814895},null,null,{"$f":"(Y728/Y776)^Elasticities!$H$67","v":1},{"$f":"(Z728/Z776)^Elasticities!$H$67","v":0.99973881889631755},{"$f":"(AA728/AA776)^Elasticities!$H$67","v":1.0001122940202658},{"$f":"(AB728/AB776)^Elasticities!$H$67","v":1.0001661147248675},{"$f":"(AC728/AC776)^Elasticities!$H$67","v":1.0002057460770892},{"$f":"(AD728/AD776)^Elasticities!$H$67","v":0.99997866376334055},{"$f":"(AE728/AE776)^Elasticities!$H$67","v":1.0001265570814895},null,null,{"$f":"(AH728/AH776)^Elasticities!$I$67","v":1},{"$f":"(AI728/AI776)^Elasticities!$I$67","v":0.99973881889631755},{"$f":"(AJ728/AJ776)^Elasticities!$I$67","v":1.0001122940202658},{"$f":"(AK728/AK776)^Elasticities!$I$67","v":1.0001661147248675},{"$f":"(AL728/AL776)^Elasticities!$I$67","v":1.0002057460770892},{"$f":"(AM728/AM776)^Elasticities!$I$67","v":0.99997866376334055},{"$f":"(AN728/AN776)^Elasticities!$I$67","v":1.0001265570814895},null,null,{"$f":"(AQ728/AQ776)^Elasticities!$G$69","v":1},{"$f":"(AR728/AR776)^Elasticities!$G$69","v":0.9998432831509243},{"$f":"(AS728/AS776)^Elasticities!$G$69","v":1.0000673748990452},{"$f":"(AT728/AT776)^Elasticities!$G$69","v":1.000099665523885},{"$f":"(AU728/AU776)^Elasticities!$G$69","v":1.0001234425669674},{"$f":"(AV728/AV776)^Elasticities!$G$69","v":0.99998719820337556},{"$f":"(AW728/AW776)^Elasticities!$G$69","v":1.0000759323270039},null,null,{"$f":"(AZ728/AZ776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA728/BA776)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99991293205149823},{"$f":"(BB728/BB776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000374299390709},{"$f":"(BC728/BC776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000553685092275},{"$f":"(BD728/BD776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000685773227398},{"$f":"(BE728/BE776)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9999928878705312},{"$f":"(BF728/BF776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000421839143221},null,null,{"$f":"(BI728/BI776)^Elasticities!$G$69","v":1},{"$f":"(BJ728/BJ776)^Elasticities!$G$69","v":0.9998432831509243},{"$f":"(BK728/BK776)^Elasticities!$G$69","v":1.0000673748990452},{"$f":"(BL728/BL776)^Elasticities!$G$69","v":1.000099665523885},{"$f":"(BM728/BM776)^Elasticities!$G$69","v":1.0001234425669674},{"$f":"(BN728/BN776)^Elasticities!$G$69","v":0.99998719820337556},{"$f":"(BO728/BO776)^Elasticities!$G$69","v":1.0000759323270039}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":783},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 7 • (Rebound Effect 6)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":784},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":785},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":786}]
[null,"Period entries with fifth rebound effect but before sixth",null,null,null,null,{"$f":"P787+Y787+AH787+AQ787+AZ787+BI787","v":53923.438681492735},37272.915507305865,79466.56485819105,29946.817704598892,99038.126733749261,162554.51835627033,72442.248695226677,{"$f":"SUM(G787:M787)","v":534644.63053683483},{"$f":"ROW()","v":787},{"$f":"P741","v":6640.312168506659},23622.471409055921,41346.937972523556,12930.071483407892,36373.424262591085,37568.388766715514,13054.414730317347,{"$f":"SUM(P787:V787)","v":171536.02079311796},null,{"$f":"Y741","v":17047.481865342805},3621.0439823561974,9379.13185874175,6781.0119270404439,26837.183848130866,55715.062431547631,22640.242689745675,{"$f":"SUM(Y787:AE787)","v":142021.15860290537},null,{"$f":"AH741","v":15097.184761401848},4995.4497865762924,7024.3255934621475,2626.348991947405,11554.868326749547,22906.734977465236,14941.398630215552,{"$f":"SUM(AH787:AN787)","v":79146.311067818038},null,{"$f":"AQ741","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ787:AW787)","v":36892.383966688518},null,{"$f":"AZ741","v":3749.0240225432581},3262.6594549090755,6222.4471345474167,2303.2499894696498,7662.5367644374337,12054.376340657345,4819.2041634800953,{"$f":"SUM(AZ787:BF787)","v":40073.497870044273},null,{"$f":"BI741","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI787:BO787)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O741,\".\")","v":"Above row repeats figures in Row 741."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":788},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O789, \" figures are set equal to Row \",$O787, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 789 figures are set equal to Row 787 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",AG789, \" figures are set equal to \",AG787, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row  figures are set equal to  figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P789+Y789+AH789+AQ789+AZ789+BI789","v":53897.498221131573},37247.603146640053,79388.520401094036,29909.98849089304,98927.124973666942,162390.53711286921,72371.726726303721,{"$f":"SUM(G789:M789)","v":534132.99907259853},{"$f":"ROW()","v":789},{"$f":"P787*P778","v":6633.9395945019442},23602.191972368997,41293.82944275206,12910.090917494013,36322.434500123076,37517.761212961836,13036.908929719522,{"$f":"SUM(P789:V789)","v":171317.15656992147},null,{"$f":"Y787*Y778","v":17031.121739941445},3617.9353858461554,9367.0847295472777,6770.5333727691168,26799.56237977948,55639.980230507332,22609.882418358509,{"$f":"SUM(Y789:AE789)","v":141836.10025674931},null,{"$f":"AH787*AH778","v":15096.223713041072},4995.5781263954023,7016.1458392095155,2622.0421571744318,11538.571191473407,22879.673994338522,14922.627774262344,{"$f":"SUM(AH789:AN789)","v":79070.862795894704},null,{"$f":"AQ787","v":2970.2068778820894},{"$f":"AR787","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ789:AW789)","v":36892.383966688518},null,{"$f":"AZ787*AZ778","v":3746.7773099489459},3260.6067876211146,6217.7380906689987,2301.1867307219777,7656.4433704506428,12043.165835176935,4815.319122495328,{"$f":"SUM(AZ789:BF789)","v":40041.23724708394},null,{"$f":"BI787","v":8419.2289858160748},{"$f":"BJ787","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI789:BO789)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,82059.770334314046,54456.840874477493,116445.77377849068,43658.810975574197,145248.71041534809,240649.08646063585,108361.1337136053,{"$f":"SUM(G790:M790)","v":790880.1265524457},{"$f":"ROW()","v":790},{"$f":"P789*$I$99","v":8292.4244931274297},29502.739965461245,51617.286803440074,16137.613646867518,45403.043125153847,46897.201516202294,16296.136162149403,{"$f":"SUM(P790:V790)","v":214146.44571240179},null,{"$f":"Y789*$J$99","v":21288.902174926807},4522.4192323076941,11708.855911934097,8463.1667159613953,33499.45297472435,69549.97528813417,28262.353022948137,{"$f":"SUM(Y790:AE790)","v":177295.12532093667},null,{"$f":"AH789*$K$99","v":24153.957940865715},7992.9250022326441,11225.833342735226,4195.2674514790915,18461.713906357454,36607.478390941636,23876.204438819754,{"$f":"SUM(AH790:AN790)","v":126513.38047343152},null,{"$f":"AQ789*$L$99","v":4455.3103168231337},{"$f":"AR789*$L$99","v":1771.0156370266441},11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ790:AW790)","v":55338.575950032769},null,{"$f":"AZ789*$M$99","v":11240.331929846838},9781.8203628633437,18653.214272006997,6903.5601921659327,22969.330111351926,36129.497505530802,14445.957367485984,{"$f":"SUM(AZ790:BF790)","v":120123.71174125183},null,{"$f":"BI789*$L$99","v":12628.843478724113},{"$f":"BJ789*$L$99","v":885.92067458592396},11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI790:BO790)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W791*W789+AF791*AF789+AO791*AO789+BG791*BG789+BP791*BP789)/(W789+AF789+AO789+BG789+BP789)","v":6.0648666246285572},{"$f":"ROW()","v":791},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P789:V789,P$339:V$339)/W789","v":6.6227139977152198},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y789:AE789,Y$339:AE$339)/AF789","v":6.1601792639036068},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH789:AN789,AH$339:AN$339)/AO789","v":4.903054859812773},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ789:BF789,AZ$339:BF$339)/BG789","v":15.476267491478861}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":792}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P793+Y793+AH793+AQ793+AZ793+BI793","v":60801.29079306715},12311.021214324299,73346.475757243912,24087.472964433422,93677.835093161004,193523.23054646852,76897.304168136528,{"$f":"SUM(G793:M793)","v":534644.63053683483},{"$f":"ROW()","v":793},{"$f":"P$152*$W787","v":20011.634932036784},3915.4244146573956,21802.00486972744,7182.0609264537479,30250.481317212056,64109.20819320569,24265.206139824841,171536.02079311793,null,{"$f":"Y$152*$AF787","v":16568.389341466303},3241.7279427415492,18050.704319410805,5946.2998454522849,25045.51746683845,53078.437885037107,20090.081801958866,{"$f":"SUM(Y793:AE793)","v":142021.15860290537},null,{"$f":"AH$152*$AO787","v":9233.32065174116},1806.5674909105535,10059.393072914054,3313.7857900918234,13957.499965391173,29579.835829877993,11195.908266891289,{"$f":"SUM(AH793:AN793)","v":79146.311067818053},null,{"$f":"AQ787","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ793:AW793)","v":36892.383966688518},null,{"$f":"AZ$152*$BG787","v":3598.5100041247424},1576.0104916064213,7940.6511962754121,2339.1910897020603,7814.2228118789917,12445.792798463119,4359.1194779935267,{"$f":"SUM(AZ793:BF793)","v":40073.497870044273},null,{"$f":"BI787","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI793:BO793)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":794}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":795},{"$f":"P793*$W789/$W787","v":19986.101922036662},3910.4286923651539,21774.187511962715,7172.8972757036008,30211.88447869266,64027.410725909474,24234.245963251193,{"$f":"SUM(P795:V795)","v":171317.15656992144},null,{"$f":"Y793*$AF789/$AF787","v":16546.800172921532},3237.5038622054299,18027.183644596131,5938.5516167659935,25012.882315241106,53009.274895323608,20063.903749695499,{"$f":"SUM(Y795:AE795)","v":141836.10025674931},null,{"$f":"AH793*$AO789/$AO787","v":9224.5187495692317},1804.8453336367259,10049.803695800842,3310.6268379181424,13944.194616872068,29551.638084878505,11185.235477219192,{"$f":"SUM(AH795:AN795)","v":79070.862795894704},null,{"$f":"AQ793*$AX789/$AX787","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ795:AW795)","v":36892.383966688518},null,{"$f":"AZ793*$BG789/$BG787","v":3595.6130727203881},1574.741745852903,7934.2586833200103,2337.3079558158752,7807.9320783702879,12435.773482699475,4355.6102283050013,{"$f":"SUM(AZ795:BF795)","v":40041.237247083933},null,{"$f":"BI793*$AX789/$AX787","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI795:BO795)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":796}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P797+Y797+AH797+AQ797+AZ797+BI797","v":84025.312182830108},18539.595698300123,107064.61349522065,34667.640150528838,133451.84383784377,269484.49873031554,105446.2566313006,{"$f":"SUM(G797:M797)","v":752679.76072633965},{"$f":"ROW()","v":797},{"$f":"P795*$I$99","v":24982.627402545826},4888.0358654564425,27217.734389953395,8966.1215946295015,37764.855598365823,80034.263407386839,30292.80745406399,{"$f":"SUM(P797:V797)","v":214146.44571240182},null,{"$f":"Y795*$J$99","v":20683.500216151915},4046.8798277567876,22533.979555745165,7423.1895209574923,31266.102894051382,66261.593619154504,25079.879687119374,{"$f":"SUM(Y797:AE797)","v":177295.12532093661},null,{"$f":"AH795*$K$99","v":14759.229999310772},2887.7525338187615,16079.685913281348,5297.0029406690282,22310.71138699531,47282.620935805608,17896.376763550707,{"$f":"SUM(AH797:AN797)","v":126513.38047343155},null,{"$f":"AQ795*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR795*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS795*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT795*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU795*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV795*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW795*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ797:AW797)","v":41503.931962524584},null,{"$f":"AZ795*$M$99","v":10786.839218161163},4724.2252375587086,23802.77604996003,7011.9238674476255,23423.796235110865,37307.320448098428,13066.830684915003,{"$f":"SUM(AZ797:BF797)","v":120123.71174125181},null,{"$f":"BI795*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ795*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK795*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL795*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM795*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN795*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO795*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI797:BO797)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":798},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":799},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O801, \" figures are set equal to Row \",$O800, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 801 figures are set equal to Row 800 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O801, \" figures are set equal to Row \",$O800, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 801 figures are set equal to Row 800 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P800+Y800+AH800+AQ800+AZ800+BI800","v":250521.45779031084},29855.74888120791,205049.75525096132,72611.193252073484,265858.3294251074,457558.4008999723,226849.5169022574,{"$f":"SUM(G800:M800)","v":1508304.4024018906},{"$f":"ROW()","v":800},{"$f":"P753","v":8477.3595513271375},{"$f":"Q753","v":2164.0166953675866},18009.336224887153,4762.7048429472525,17359.849505539594,33397.193549157251,11691.722497150698,{"$f":"SUM(P800:V800)","v":95862.182866376665},null,{"$f":"Y753","v":5960.8194984298489},{"$f":"Z753","v":1521.6191827861583},12663.188563976919,3348.8757579784178,12206.504725428151,23483.095331197412,8220.9852029145604,{"$f":"SUM(Y800:AE800)","v":67405.088262711462},null,{"$f":"AH753","v":0},{"$f":"AI753","v":0},0,0,0,0,0,{"$f":"SUM(AH800:AN800)","v":0},null,{"$f":"AQ753","v":98921.343502801625},{"$f":"AR753","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ800:AW800)","v":553825.51435896545},null,{"$f":"AZ753","v":5073.1082576284862},{"$f":"BA753","v":1445.5369391204742},8829.6341189387949,2585.9162827759847,9527.9711466103199,17811.610302559646,6419.3501959980222,{"$f":"SUM(AZ800:BF800)","v":51693.127243631723},null,{"$f":"BI753","v":132088.82698012373},{"$f":"BJ753","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI800:BO800)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250522.38396177854,29856.794038372245,205003.40062391467,72607.056373145751,265853.24041829933,457577.84513682488,226858.12355233429,{"$f":"SUM(G801:M801)","v":1508278.8441046698},{"$f":"ROW()","v":801},{"$f":"P800*P780","v":8477.8463390739525},2164.5594114894516,17984.503139569035,4760.5092306769475,17357.151349699998,33407.531263214623,11696.285602237493,{"$f":"SUM(P801:V801)","v":95848.386335961506},null,{"$f":"Y800*Y780","v":5961.1617811742872},1522.0007913308634,12645.727285111232,3347.3319225008045,12204.607528566192,23490.364251095089,8224.193730948562,{"$f":"SUM(Y801:AE801)","v":67395.387290727027},null,{"$f":"AH800*AH780","v":0},0,0,0,0,0,0,{"$f":"SUM(AH801:AN801)","v":0},null,{"$f":"AQ800","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ801:AW801)","v":553825.51435896545},null,{"$f":"AZ800*AZ780","v":5073.2053586049624},1445.6577716182394,8825.5738560759546,2585.5188515961622,9527.4774925038091,17813.447905457142,6420.1852129541257,{"$f":"SUM(AZ801:BF801)","v":51691.066448810394},null,{"$f":"BI800","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI801:BO801)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,0.92617146772954584,1.0451571643352509,-46.354627046650421,-4.1368789277426004,-5.0890068080661877,19.444236852530594,8.6066500768993137,{"$f":"W802+AF802+AO802+AX802+BG802+BP802","v":-25.558297220959503},{"$f":"ROW()","v":802},{"$f":"P801-P800","v":0.48678774681502546},0.54271612186494167,-24.83308531811781,-2.1956122703049914,-2.6981558395964385,10.337714057372068,4.5631050867941667,-13.796530415158486,null,{"$f":"Y801-Y800","v":0.34228274443830742},0.38160854470515915,-17.461278865686836,-1.5438354776133565,-1.8971968619589461,7.2689198976768239,3.2085280340015743,-9.7009719844354549,null,{"$f":"AH801-AH800","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ801-AQ800","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ801-AZ800","v":9.7100976476212963E-2},0.12083249776515004,-4.0602628628403181,-0.39743117982243348,-0.4936541065108031,1.8376028974962537,0.83501695610357274,-2.060794821329182,null,{"$f":"BI801-BI800","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":803}]
[null,"Total Cordon VMT before sixth rebound effect",null,null,null,null,{"$f":"P804+Y804+AH804+AQ804+AZ804+BI804","v":407248.97265775903},102678.96286652118,425078.93659381586,151041.29305390781,545594.7711041416,968200.343579571,423779.86112129863,3023623.1409770153,{"$f":"ROW()","v":804},{"$f":"P757","v":41792.293427006443},{"$f":"Q757","v":36586.386475009233},96945.514777700897,29902.870355274303,100639.73148029351,160494.18974905874,58341.248584828427,{"$f":"SUM(P804:V804)","v":524702.2348491716},null,{"$f":"Y757","v":47980.658506941232},{"$f":"Z757","v":10100.084089158341},46950.48378666761,19258.015473594329,77059.881369139795,159474.97072692832,61633.890817545238,{"$f":"SUM(Y804:AE804)","v":422457.98476997484},null,{"$f":"AH757","v":38928.808661028816},{"$f":"AI757","v":10883.227643978955},27333.949866201925,9504.2156512627662,40819.789267425149,83978.513291749172,41819.691035370954,{"$f":"SUM(AH804:AN804)","v":253268.19541701773},null,{"$f":"AQ757","v":101102.94289294499},{"$f":"AR757","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ804:AW804)","v":632517.43270702334},null,{"$f":"AZ757","v":27115.710337632492},{"$f":"BA757","v":15961.546778666967},51318.929111407284,16513.239520291114,55958.249875559588,91312.117719921051,33954.321120418885,{"$f":"SUM(AZ804:BF804)","v":292134.11446389736},null,{"$f":"BI757","v":150328.55883220508},{"$f":"BJ757","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI804:BO804)","v":898543.17876993015}]
[null,"Total Cordon VMT with sixth rebound effect",null,null,null,null,407131.52857893973,102626.73388160186,424825.22957165062,150954.15798843681,545305.36171460466,967721.8466229348,423587.91969032772,3022152.7780484967,{"$f":"ROW()","v":805},{"$f":"P790+P797+P801","v":41752.898234747205},36555.335242407135,96819.524332962508,29864.244472173967,100525.05007321967,160338.99618680376,58285.229218450884,{"$f":"SUM(P805:V805)","v":524141.27776076522},null,{"$f":"Y790+Y797+Y801","v":47933.564172253013},10091.299851395344,46888.562752790502,19233.688159419693,76970.163397341923,159301.93315838376,61566.426441016069,{"$f":"SUM(Y805:AE805)","v":421985.63793260034},null,{"$f":"AH790+AH797+AH801","v":38913.187940176489},10880.677536051406,27305.519256016574,9492.2703921481188,40772.42529335276,83890.099326747237,41772.581202370464,{"$f":"SUM(AH805:AN805)","v":253026.76094686304},null,{"$f":"AQ804","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ805:AW805)","v":632517.43270702334},null,{"$f":"AZ790+AZ797+AZ801","v":27100.376506612964},15951.703372040292,51281.56417804298,16501.002911209722,55920.603838966599,91250.265859086372,33932.973265355118,{"$f":"SUM(AZ805:BF805)","v":291938.48993131402},null,{"$f":"BI804","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI805:BO805)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with sixth rebound effect",null,null,null,null,{"$f":"G805/G$135","v":67855.254763156627},102626.73388160186,141608.40985721687,150954.15798843681,136326.34042865116,161286.97443715579,141195.97323010923,null,{"$f":"ROW()","v":806}]
[null,"Factor Change",null,null,null,null,{"$f":"G805/G804","v":0.99971161602188252},0.99949133704255255,0.99940315315503936,0.99942310434643922,0.99946955248681868,0.99950578724764017,0.99954707278806731,null,{"$f":"ROW()","v":807},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":808}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":809}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G806*$G$481/V_sub_k)^KSE)","v":20.661274087491684},16.429760274016147,9.8698350333611007,8.5040104358195698,10.702213720302954,7.1702691643984791,9.9333638475020702,null,{"$f":"ROW()","v":810},{"$f":"G810","v":20.661274087491684},16.429760274016147,9.8698350333611007,8.5040104358195698,10.702213720302954,7.1702691643984791,9.9333638475020702,null,null,{"$f":"G810","v":20.661274087491684},16.429760274016147,9.8698350333611007,8.5040104358195698,10.702213720302954,7.1702691643984791,9.9333638475020702,null,null,{"$f":"P810","v":20.661274087491684},16.429760274016147,9.8698350333611007,8.5040104358195698,10.702213720302954,7.1702691643984791,9.9333638475020702,null,null,{"$f":"G810*$AU$198","v":20.24804860574185},16.101165068535824,9.6724383326938792,8.3339302271031777,10.488169445896894,7.0268637811105092,9.7346965705520283,null,null,{"$f":"G810","v":20.661274087491684},16.429760274016147,9.8698350333611007,8.5040104358195698,10.702213720302954,7.1702691643984791,9.9333638475020702,null,null,{"$f":"Y810*$AU$198","v":20.24804860574185},{"$f":"Z810*$AU$198","v":16.101165068535824},{"$f":"AA810*$AU$198","v":9.6724383326938792},{"$f":"AB810*$AU$198","v":8.3339302271031777},{"$f":"AC810*$AU$198","v":10.488169445896894},{"$f":"AD810*$AU$198","v":7.0268637811105092},{"$f":"AE810*$AU$198","v":9.7346965705520283}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G763 / 'Speed-Vol., non-Cordon'!$Y$4)^G782,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H763 / 'Speed-Vol., non-Cordon'!$Y$4)^H782,'Speed-Vol., non-Cordon'!$Y$6)","v":37.325612379884632},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I763 / 'Speed-Vol., non-Cordon'!$Y$4)^I782,'Speed-Vol., non-Cordon'!$Y$6)","v":19.152839782088424},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J763 / 'Speed-Vol., non-Cordon'!$Y$4)^J782,'Speed-Vol., non-Cordon'!$Y$6)","v":21.457081173623209},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K763 / 'Speed-Vol., non-Cordon'!$Y$4)^K782,'Speed-Vol., non-Cordon'!$Y$6)","v":24.522380481865913},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L763 / 'Speed-Vol., non-Cordon'!$Y$4)^L782,'Speed-Vol., non-Cordon'!$Y$6)","v":16.508926240193908},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M763 / 'Speed-Vol., non-Cordon'!$Y$4)^M782,'Speed-Vol., non-Cordon'!$Y$6)","v":27.335509926862624},null,{"$f":"ROW()","v":811},55,37.325612379884632,19.152839782088424,21.457081173623209,24.522380481865913,16.508926240193908,27.335509926862624,"Avgs are wghtd by periods' cordon VMT.",null,55,37.325612379884632,19.152839782088424,21.457081173623209,24.522380481865913,16.508926240193908,27.335509926862624,"Avgs are wghtd by periods' cordon VMT.",null,55,37.325612379884632,19.152839782088424,21.457081173623209,24.522380481865913,16.508926240193908,27.335509926862624,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G811*$AV$198","v":54.45},36.952356256085785,18.961311384267539,21.242510361886975,24.277156677047252,16.34383697779197,27.062154827593996,"Avgs are wghtd by periods' cordon VMT.",null,55,37.325612379884632,19.152839782088424,21.457081173623209,24.522380481865913,16.508926240193908,27.335509926862624,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y811*$AV$198","v":54.45},{"$f":"Z811*$AV$198","v":36.952356256085785},{"$f":"AA811*$AV$198","v":18.961311384267539},{"$f":"AB811*$AV$198","v":21.242510361886975},{"$f":"AC811*$AV$198","v":24.277156677047252},{"$f":"AD811*$AV$198","v":16.34383697779197},{"$f":"AE811*$AV$198","v":27.062154827593996},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":812}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":813}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":814},{"$f":"($I$99)*60/P810","v":3.6299794331369397},4.5648870555106855,7.5989112023141177,8.8193682928814408,7.007895932569447,10.459858379150795,7.5503123766940394,{"$f":"SUMPRODUCT(P$562:V$562,P814:V814)/W$562","v":7.9205411306558746},null,{"$f":"($J$99)*60/Y810","v":3.6299794331369397},4.5648870555106855,7.5989112023141177,8.8193682928814408,7.007895932569447,10.459858379150795,7.5503123766940394,{"$f":"SUMPRODUCT(Y$562:AE$562,Y814:AE814)/AF$562","v":8.1166357259754687},null,{"$f":"($K$99)*60/AH810","v":4.6463736744152824},5.8430554310536778,9.7266063389620712,11.288791414888244,8.9701067936888919,13.388618725313018,9.6643998421683701,{"$f":"SUMPRODUCT(AH$562:AN$562,AH814:AN814)/AO$562","v":9.9903967033098287},null,{"$f":"($L$99)*60/AQ810","v":4.4448727752697215},5.5896576189926757,9.3047892273234094,10.799226481079316,8.5810970602891192,12.807989852021382,9.2452804612580071,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ814:AW814)/AX$562","v":9.4579225773338678},null,{"$f":"($M$99)*60/AZ810","v":8.7119506395286557},10.955728933225645,18.237386885553882,21.166483902915459,16.818950238166675,25.103660109961908,18.120749704065695,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ814:BF814)/BG$562","v":18.99980495028575},null,{"$f":"($L$99)*60/BI810","v":4.4448727752697215},5.5896576189926757,9.3047892273234094,10.799226481079316,8.5810970602891192,12.807989852021382,9.2452804612580071,{"$f":"SUMPRODUCT(BI$562:BO$562,BI814:BO814)/BP$562","v":9.4531623802181688}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":815},{"$f":"60*$I$99/(1/($P$152/$P810+$Q$152/$Q810+$R$152/$R810+$S$152/$S810+$T$152/$T810+$U$152/$U810+$V$152/$V810))","v":8.0758745377258965},8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,{"$f":"SUMPRODUCT(P$463:V$463,P815:V815)/W$463","v":8.0758745377258965},null,{"$f":"60*$J$99/(1/($Y$152/$Y810+$Z$152/$Z810+$AA$152/$AA810+$AB$152/$AB810+$AC$152/$AC810+$AD$152/$AD810+$AE$152/$AE810))","v":8.0758745377258965},8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,8.0758745377258965,{"$f":"SUMPRODUCT(Y$463:AE$463,Y815:AE815)/AF$463","v":8.0758745377258965},null,{"$f":"AH814","v":4.6463736744152824},5.8430554310536778,9.7266063389620712,11.288791414888244,8.9701067936888919,13.388618725313018,9.6643998421683701,{"$f":"SUMPRODUCT(AH$463:AN$463,AH815:AN815)/AO$463","v":9.8000636679798827},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ810+$BA$152/$BA810+$BB$152/$BB810+$BC$152/$BC810+$BD$152/$BD810+$BE$152/$BE810+$BF$152/$BF810))","v":19.109838031067763},19.109838031067763,19.109838031067763,19.109838031067763,19.109838031067763,19.109838031067763,19.109838031067763,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ815:BF815)/BG$463","v":19.10983803106776}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":816},{"$f":"($I$93)*60/P811","v":18.389355683366585},27.097065475882982,52.807550947668275,47.136633095673581,41.244550598711022,61.264709034964014,37.000025435459115,{"$f":"SUMPRODUCT(P$562:V$562,P816:V816)/W$562","v":46.757221073582144},null,{"$f":"($J$93)*60/Y811","v":18.389355683366585},27.097065475882982,52.807550947668275,47.136633095673581,41.244550598711022,61.264709034964014,37.000025435459115,{"$f":"SUMPRODUCT(Y$562:AE$562,Y816:AE816)/AF$562","v":46.962109000322378},null,{"$f":"($K$93)*60/AH811","v":27.584033525049882},40.645598213824471,79.21132642150242,70.704949643510375,61.866825898066537,91.897063552446028,55.500038153188676,{"$f":"SUMPRODUCT(AH$562:AN$562,AH816:AN816)/AO$562","v":67.383999001793484},null,{"$f":"($L$93)*60/AQ811","v":6.6115702479338836},9.742274552267844,18.986028587595314,16.947149553750819,14.828754651501701,22.026651421521674,13.302710086963403,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ816:AW816)/AX$562","v":16.098039096418908},null,{"$f":"($M$93)*60/AZ811","v":16.961695569840352},24.993381135897195,48.707829593690505,43.477174215475671,38.042524339392166,56.508415070019836,34.127523460773801,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ816:BF816)/BG$562","v":42.926072630032195},null,{"$f":"($L$93)*60/BI811","v":6.6115702479338836},9.742274552267844,18.986028587595314,16.947149553750819,14.828754651501701,22.026651421521674,13.302710086963403,{"$f":"SUMPRODUCT(BI$562:BO$562,BI816:BO816)/BP$562","v":15.988086844736875}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":817},{"$f":"60*$I$93/(1/($P$152/$P811+$Q$152/$Q811+$R$152/$R811+$S$152/$S811+$T$152/$T811+$U$152/$U811+$V$152/$V811))","v":46.853476832054596},46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,{"$f":"SUMPRODUCT(P$562:V$562,P817:V817)/W$562","v":46.853476832054596},null,{"$f":"60*$J$93/(1/($Y$152/$Y811+$Z$152/$Z811+$AA$152/$AA811+$AB$152/$AB811+$AC$152/$AC811+$AD$152/$AD811+$AE$152/$AE811))","v":46.853476832054596},46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,46.853476832054596,{"$f":"SUMPRODUCT(Y$562:AE$562,Y817:AE817)/AF$562","v":46.853476832054604},null,{"$f":"AH816","v":27.584033525049882},40.645598213824471,79.21132642150242,70.704949643510375,61.866825898066537,91.897063552446028,55.500038153188676,{"$f":"SUMPRODUCT(AH$562:AN$562,AH817:AN817)/AO$562","v":67.383999001793484},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ811+$BA$152/$BA811+$BB$152/$BB811+$BC$152/$BC811+$BD$152/$BD811+$BE$152/$BE811+$BF$152/$BF811))","v":43.376066413846111},43.376066413846111,43.376066413846111,43.376066413846111,43.376066413846111,43.376066413846111,43.376066413846111,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ817:BF817)/BG$562","v":43.376066413846104}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":818},{"$f":"SUM(P814:P817)","v":76.948686486284018},86.591303901174157,115.33581351976288,110.88535275833551,103.18179790106096,126.65391878389529,99.479689181933651,109.60711357401851,null,{"$f":"SUM(Y814:Y817)","v":76.948686486284018},86.591303901174157,115.33581351976288,110.88535275833551,103.18179790106096,126.65391878389529,99.479689181933651,110.00809609607835,null,{"$f":"SUM(AH814:AH817)","v":64.460814398930324},92.977307289756297,177.87586552092898,163.98748211679725,141.67386538351087,210.57136455551807,130.3288759907141,154.55845837487669,null,{"$f":"AQ814+AQ816","v":11.056443023203606},15.331932171260519,28.290817814918725,27.746376034830135,23.409851711790822,34.834641273543056,22.54799054822141,25.555961673752776,null,{"$f":"SUM(AZ814:AZ817)","v":88.159550654282882},98.435014514036709,129.43112092415825,127.129562563305,117.34737902247272,144.09797962489563,114.73417760975337,124.41178202523182,null,{"$f":"BI814+BI816","v":11.056443023203606},15.331932171260519,28.290817814918725,27.746376034830135,23.409851711790822,34.834641273543056,22.54799054822141,25.441249224955044]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":819}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":820},{"$f":"P818/P770","v":0.99992633389396002},0.9998142581054148,0.99995876380168647,0.99995801390699968,1.0000024063284034,0.99982707507902224,0.99993911433607718,0.99990849465362863,null,{"$f":"Y818/Y770","v":0.99992633389396002},0.9998142581054148,0.99995876380168647,0.99995801390699968,1.0000024063284034,0.99982707507902224,0.99993911433607718,0.99990082070678543,null,{"$f":"AH818/AH770","v":0.99998987354985203},0.99966688991356123,1.0000358744891207,1.0000474174012197,1.0001436670976511,0.99979425009941669,1.0000105501900047,0.99992912383615851,null,{"$f":"AQ818/AQ770","v":0.99997176128542642},0.99961703553280756,0.99970216952837709,0.99962021252349675,0.9998044903098191,0.99948353478376384,0.99970169647822893,0.99964084720505275,null,{"$f":"AZ818/AZ770","v":0.99978876222962698},0.99968173908258662,0.99975120075247947,0.99971855731453108,0.9997947540608384,0.99962645661866645,0.99974114884762977,0.99971031956489209,null,{"$f":"BI818/BI770","v":0.99997176128542642},0.99961703553280756,0.99970216952837709,0.99962021252349675,0.9998044903098191,0.99948353478376384,0.99970169647822893,0.99963980090199556]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":821}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":822}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":20.654947643986358},16.404876583431392,9.9174327354444767,8.5105159584563417,10.699343667112617,7.1525984170465007,9.9083423155419545,null,{"$f":"ROW()","v":823},{"$f":"G823","v":20.654947643986358},16.404876583431392,9.9174327354444767,8.5105159584563417,10.699343667112617,7.1525984170465007,9.9083423155419545,null,null,{"$f":"G823","v":20.654947643986358},16.404876583431392,9.9174327354444767,8.5105159584563417,10.699343667112617,7.1525984170465007,9.9083423155419545,null,null,{"$f":"P823","v":20.654947643986358},16.404876583431392,9.9174327354444767,8.5105159584563417,10.699343667112617,7.1525984170465007,9.9083423155419545,null,null,{"$f":"G823*$AU$198","v":20.241848691106629},16.076779051762763,9.7190840807355876,8.3403056392872141,10.485356793770364,7.0095464487055708,9.7101754692311157,null,null,{"$f":"G823","v":20.654947643986358},16.404876583431392,9.9174327354444767,8.5105159584563417,10.699343667112617,7.1525984170465007,9.9083423155419545,null,null,{"$f":"Y823*$AU$198","v":20.241848691106629},{"$f":"Z823*$AU$198","v":16.076779051762763},{"$f":"AA823*$AU$198","v":9.7190840807355876},{"$f":"AB823*$AU$198","v":8.3403056392872141},{"$f":"AC823*$AU$198","v":10.485356793770364},{"$f":"AD823*$AU$198","v":7.0095464487055708},{"$f":"AE823*$AU$198","v":9.7101754692311157}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":55},37.357627386373075,19.146946049860457,21.44699191376494,24.507561494972432,16.509850260662766,27.325041909170213,null,{"$f":"ROW()","v":824},55,37.357627386373075,19.146946049860457,21.44699191376494,24.507561494972432,16.509850260662766,27.325041909170213,null,null,55,37.357627386373075,19.146946049860457,21.44699191376494,24.507561494972432,16.509850260662766,27.325041909170213,null,null,55,37.357627386373075,19.146946049860457,21.44699191376494,24.507561494972432,16.509850260662766,27.325041909170213,null,null,{"$f":"G824*$AV$198","v":54.45},36.984051112509341,18.955476589361851,21.232521994627291,24.262485880022709,16.344751758056137,27.051791490078511,null,null,55,37.357627386373075,19.146946049860457,21.44699191376494,24.507561494972432,16.509850260662766,27.325041909170213,null,null,{"$f":"Y824*$AV$198","v":54.45},{"$f":"Z824*$AV$198","v":36.984051112509341},{"$f":"AA824*$AV$198","v":18.955476589361851},{"$f":"AB824*$AV$198","v":21.232521994627291},{"$f":"AC824*$AV$198","v":24.262485880022709},{"$f":"AD824*$AV$198","v":16.344751758056137},{"$f":"AE824*$AV$198","v":27.051791490078511}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":825}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":826},{"$f":"P820^Elasticities!$G$67","v":1.0000736715331349},{"$f":"Q820^Elasticities!$G$67","v":1.000185776401046},{"$f":"R820^Elasticities!$G$67","v":1.0000412378988077},{"$f":"S820^Elasticities!$G$67","v":1.0000419878559064},{"$f":"T820^Elasticities!$G$67","v":0.99999759367738694},{"$f":"U820^Elasticities!$G$67","v":1.000172954829178},{"$f":"V820^Elasticities!$G$67","v":1.0000608893712126},null,null,{"$f":"Y820^Elasticities!$H$67","v":1.0000736715331349},{"$f":"Z820^Elasticities!$H$67","v":1.000185776401046},{"$f":"AA820^Elasticities!$H$67","v":1.0000412378988077},{"$f":"AB820^Elasticities!$H$67","v":1.0000419878559064},{"$f":"AC820^Elasticities!$H$67","v":0.99999759367738694},{"$f":"AD820^Elasticities!$H$67","v":1.000172954829178},{"$f":"AE820^Elasticities!$H$67","v":1.0000608893712126},null,null,{"$f":"AH820^Elasticities!$I$67","v":1.0000101265526939},{"$f":"AI820^Elasticities!$I$67","v":1.0003332210857434},{"$f":"AJ820^Elasticities!$I$67","v":0.9999641267978121},{"$f":"AK820^Elasticities!$I$67","v":0.9999525848470836},{"$f":"AL820^Elasticities!$I$67","v":0.99985635353961888},{"$f":"AM820^Elasticities!$I$67","v":1.0002057922423166},{"$f":"AN820^Elasticities!$I$67","v":0.99998944992130057},null,null,{"$f":"AQ820^Elasticities!$G$69","v":1.0000169436115174},{"$f":"AR820^Elasticities!$G$69","v":1.0002298491013446},{"$f":"AS820^Elasticities!$G$69","v":1.0001787408714018},{"$f":"AT820^Elasticities!$G$69","v":1.0002279417431914},{"$f":"AU820^Elasticities!$G$69","v":1.0001173241647565},{"$f":"AV820^Elasticities!$G$69","v":1.00031000722051},{"$f":"AW820^Elasticities!$G$69","v":1.0001790248369038},null,null,{"$f":"AZ820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000704225076196},{"$f":"BA820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001061094869359},{"$f":"BB820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000829468409618},{"$f":"BC820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000938318345627},{"$f":"BD820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000684246758587},{"$f":"BE820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001245454771577},{"$f":"BF820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000862986102148},null,null,{"$f":"BI820^Elasticities!$G$69","v":1.0000169436115174},{"$f":"BJ820^Elasticities!$G$69","v":1.0002298491013446},{"$f":"BK820^Elasticities!$G$69","v":1.0001787408714018},{"$f":"BL820^Elasticities!$G$69","v":1.0002279417431914},{"$f":"BM820^Elasticities!$G$69","v":1.0001173241647565},{"$f":"BN820^Elasticities!$G$69","v":1.00031000722051},{"$f":"BO820^Elasticities!$G$69","v":1.0001790248369038}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":827},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":828},{"$f":"(P775/P823)^Elasticities!$G$67","v":1.0000510512588983},{"$f":"(Q775/Q823)^Elasticities!$G$67","v":1.0002528717892871},{"$f":"(R775/R823)^Elasticities!$G$67","v":0.99920073974114754},{"$f":"(S775/S823)^Elasticities!$G$67","v":0.99987261457942567},{"$f":"(T775/T823)^Elasticities!$G$67","v":1.000044709619559},{"$f":"(U775/U823)^Elasticities!$G$67","v":1.0004119255071791},{"$f":"(V775/V823)^Elasticities!$G$67","v":1.0004210604683896},null,null,{"$f":"(Y775/Y823)^Elasticities!$H$67","v":1.0000510512588983},{"$f":"(Z775/Z823)^Elasticities!$H$67","v":1.0002528717892871},{"$f":"(AA775/AA823)^Elasticities!$H$67","v":0.99920073974114754},{"$f":"(AB775/AB823)^Elasticities!$H$67","v":0.99987261457942567},{"$f":"(AC775/AC823)^Elasticities!$H$67","v":1.000044709619559},{"$f":"(AD775/AD823)^Elasticities!$H$67","v":1.0004119255071791},{"$f":"(AE775/AE823)^Elasticities!$H$67","v":1.0004210604683896},null,null,{"$f":"(AH775/AH823)^Elasticities!$I$67","v":1.0000510512588983},{"$f":"(AI775/AI823)^Elasticities!$I$67","v":1.0002528717892871},{"$f":"(AJ775/AJ823)^Elasticities!$I$67","v":0.99920073974114754},{"$f":"(AK775/AK823)^Elasticities!$I$67","v":0.99987261457942567},{"$f":"(AL775/AL823)^Elasticities!$I$67","v":1.000044709619559},{"$f":"(AM775/AM823)^Elasticities!$I$67","v":1.0004119255071791},{"$f":"(AN775/AN823)^Elasticities!$I$67","v":1.0004210604683896},null,null,{"$f":"(AQ775/AQ823)^Elasticities!$G$69","v":1.0000306304425985},{"$f":"(AR775/AR823)^Elasticities!$G$69","v":1.0001517154011805},{"$f":"(AS775/AS823)^Elasticities!$G$69","v":0.99952036715804704},{"$f":"(AT775/AT823)^Elasticities!$G$69","v":0.99992356680029426},{"$f":"(AU775/AU823)^Elasticities!$G$69","v":1.0000268255318665},{"$f":"(AV775/AV823)^Elasticities!$G$69","v":1.000247134946306},{"$f":"(AW775/AW823)^Elasticities!$G$69","v":1.0002526150101831},null,null,{"$f":"(AZ775/AZ823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000170167967264},{"$f":"(BA775/BA823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000842834925223},{"$f":"(BB775/BB823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99973350890251922},{"$f":"(BC775/BC823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995753639000917},{"$f":"(BD775/BD823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000149029844196},{"$f":"(BE775/BE823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001372896530816},{"$f":"(BF775/BF823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001403337949679},null,null,{"$f":"(BI775/BI823)^Elasticities!$G$69","v":1.0000306304425985},{"$f":"(BJ775/BJ823)^Elasticities!$G$69","v":1.0001517154011805},{"$f":"(BK775/BK823)^Elasticities!$G$69","v":0.99952036715804704},{"$f":"(BL775/BL823)^Elasticities!$G$69","v":0.99992356680029426},{"$f":"(BM775/BM823)^Elasticities!$G$69","v":1.0000268255318665},{"$f":"(BN775/BN823)^Elasticities!$G$69","v":1.000247134946306},{"$f":"(BO775/BO823)^Elasticities!$G$69","v":1.0002526150101831}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":829},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P830+$J$85*$J$93*Y830+$K$85*$K$93*AH830+$L$85*$L$93*AQ830+$M$85*$M$93*AZ830+$N$85*$N$93*BI830)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},1.0001058432147591,0.99991299548550494,0.99988176061906964,0.99986877906180049,1.0000182910324875,0.99992689103615895,null,{"$f":"ROW()","v":830},{"$f":"(P776/P824)^Elasticities!$G$67","v":1},{"$f":"(Q776/Q824)^Elasticities!$G$67","v":0.99985718920677646},{"$f":"(R776/R824)^Elasticities!$G$67","v":1.0000513052629219},{"$f":"(S776/S824)^Elasticities!$G$67","v":1.0000784107704976},{"$f":"(T776/T824)^Elasticities!$G$67","v":1.0001007884884821},{"$f":"(U776/U824)^Elasticities!$G$67","v":0.99999067211558412},{"$f":"(V776/V824)^Elasticities!$G$67","v":1.0000638528212795},null,null,{"$f":"(Y763/Y811)^Elasticities!$H$67","v":1},{"$f":"(Z763/Z811)^Elasticities!$H$67","v":1.0003069721141054},{"$f":"(AA763/AA811)^Elasticities!$H$67","v":0.99979784327399357},{"$f":"(AB763/AB811)^Elasticities!$H$67","v":0.99971867334043685},{"$f":"(AC763/AC811)^Elasticities!$H$67","v":0.99967733251719482},{"$f":"(AD763/AD811)^Elasticities!$H$67","v":1.0000413926845264},{"$f":"(AE763/AE811)^Elasticities!$H$67","v":0.99981438185643812},null,null,{"$f":"(AH763/AH811)^Elasticities!$I$67","v":1},{"$f":"(AI763/AI811)^Elasticities!$I$67","v":1.0003069721141054},{"$f":"(AJ763/AJ811)^Elasticities!$I$67","v":0.99979784327399357},{"$f":"(AK763/AK811)^Elasticities!$I$67","v":0.99971867334043685},{"$f":"(AL763/AL811)^Elasticities!$I$67","v":0.99967733251719482},{"$f":"(AM763/AM811)^Elasticities!$I$67","v":1.0000413926845264},{"$f":"(AN763/AN811)^Elasticities!$I$67","v":0.99981438185643812},null,null,{"$f":"(AQ776/AQ824)^Elasticities!$G$69","v":1},{"$f":"(AR776/AR824)^Elasticities!$G$69","v":0.99991431107651196},{"$f":"(AS776/AS824)^Elasticities!$G$69","v":1.0000307828418931},{"$f":"(AT776/AT824)^Elasticities!$G$69","v":1.0000470457245358},{"$f":"(AU776/AU824)^Elasticities!$G$69","v":1.0000604718741481},{"$f":"(AV776/AV824)^Elasticities!$G$69","v":0.99999440325890931},{"$f":"(AW776/AW824)^Elasticities!$G$69","v":1.0000383112035205},null,null,{"$f":"(AZ763/AZ811)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA763/BA811)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001023135696117},{"$f":"(BB763/BB811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99993260988333876},{"$f":"(BC763/BC811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99990621565158322},{"$f":"(BD763/BD811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99989243260206806},{"$f":"(BE763/BE811)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000137973711405},{"$f":"(BF763/BF811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99993812345685174},null,null,{"$f":"(BI776/BI824)^Elasticities!$G$69","v":1},{"$f":"(BJ776/BJ824)^Elasticities!$G$69","v":0.99991431107651196},{"$f":"(BK776/BK824)^Elasticities!$G$69","v":1.0000307828418931},{"$f":"(BL776/BL824)^Elasticities!$G$69","v":1.0000470457245358},{"$f":"(BM776/BM824)^Elasticities!$G$69","v":1.0000604718741481},{"$f":"(BN776/BN824)^Elasticities!$G$69","v":0.99999440325890931},{"$f":"(BO776/BO824)^Elasticities!$G$69","v":1.0000383112035205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":831},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 8 • (Rebound Effect 7)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":832},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":833},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":834}]
[null,"Period entries with sixth rebound effect but before seventh",null,null,null,null,{"$f":"P835+Y835+AH835+AQ835+AZ835+BI835","v":53897.498221131573},37247.603146640053,79388.520401094036,29909.98849089304,98927.124973666942,162390.53711286921,72371.726726303721,{"$f":"SUM(G835:M835)","v":534132.99907259853},{"$f":"ROW()","v":835},{"$f":"P789","v":6633.9395945019442},23602.191972368997,41293.82944275206,12910.090917494013,36322.434500123076,37517.761212961836,13036.908929719522,{"$f":"SUM(P835:V835)","v":171317.15656992147},null,{"$f":"Y789","v":17031.121739941445},3617.9353858461554,9367.0847295472777,6770.5333727691168,26799.56237977948,55639.980230507332,22609.882418358509,{"$f":"SUM(Y835:AE835)","v":141836.10025674931},null,{"$f":"AH789","v":15096.223713041072},4995.5781263954023,7016.1458392095155,2622.0421571744318,11538.571191473407,22879.673994338522,14922.627774262344,{"$f":"SUM(AH835:AN835)","v":79070.862795894704},null,{"$f":"AQ789","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ835:AW835)","v":36892.383966688518},null,{"$f":"AZ789","v":3746.7773099489459},3260.6067876211146,6217.7380906689987,2301.1867307219777,7656.4433704506428,12043.165835176935,4815.319122495328,{"$f":"SUM(AZ835:BF835)","v":40041.23724708394},null,{"$f":"BI789","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI835:BO835)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O789,\".\")","v":"Above row repeats figures in Row 789."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":836},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O837, \" figures are set equal to Row \",$O835, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 837 figures are set equal to Row 835 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O837, \" figures are set equal to Row \",$O835, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 837 figures are set equal to Row 835 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P837+Y837+AH837+AQ837+AZ837+BI837","v":53899.658392640376},37254.670617217205,79390.873600860446,29910.906438152666,98925.839496524815,162412.85757537739,72374.155357465235,{"$f":"SUM(G837:M837)","v":534168.96147823811},{"$f":"ROW()","v":837},{"$f":"P835*P826","v":6634.4283270025953},23606.576702650422,41295.532313512005,12910.632984531196,36322.347096627578,37524.250090943562,13037.70273890681,{"$f":"SUM(P837:V837)","v":171331.47025417417},null,{"$f":"Y835*Y826","v":17032.376448791034},3618.6075128613547,9367.4710084394774,6770.8176529487819,26799.497891386505,55649.603433783566,22611.259119882154,{"$f":"SUM(Y837:AE837)","v":141849.63306809287},null,{"$f":"AH835*AH826","v":15096.376585745982},4997.2427583625959,7015.8941475912461,2621.9178326445963,11536.913716563897,22884.382453753289,14922.470339364923,{"$f":"SUM(AH837:AN837)","v":79075.197834026534},null,{"$f":"AQ835","v":2970.2068778820894},{"$f":"AR835","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ837:AW837)","v":36892.383966688518},null,{"$f":"AZ835*AZ826","v":3747.0411674026045},3260.9527689344486,6218.2538324015477,2301.4026552945925,7656.9672601064958,12044.665757012366,4815.7346778433403,{"$f":"SUM(AZ837:BF837)","v":40045.018118995395},null,{"$f":"BI835","v":8419.2289858160748},{"$f":"BJ835","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI837:BO837)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,82062.985804690674,54466.863301185789,116449.52973416424,43660.292764065365,145247.44025959985,240681.25986277818,108364.84162220213,{"$f":"SUM(G838:M838)","v":790933.21334868623},{"$f":"ROW()","v":838},{"$f":"P837*$I$99","v":8293.0354087532432},29508.220878313026,51619.415391890005,16138.291230663996,45402.933870784473,46905.312613679453,16297.128423633512,{"$f":"SUM(P838:V838)","v":214164.33781771769},null,{"$f":"Y837*$J$99","v":21290.470560988793},4523.2593910766936,11709.338760549346,8463.5220661859767,33499.372364233132,69562.004292229452,28264.073899852694,{"$f":"SUM(Y838:AE838)","v":177312.04133511608},null,{"$f":"AH837*$K$99","v":24154.202537193574},7995.5884133801537,11225.430636145995,4195.0685322313539,18459.061946502236,36615.011926005267,23875.95254298388,{"$f":"SUM(AH838:AN838)","v":126520.31653444246},null,{"$f":"AQ837*$L$99","v":4455.3103168231337},{"$f":"AR837*$L$99","v":1771.0156370266441},11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ838:AW838)","v":55338.575950032769},null,{"$f":"AZ837*$M$99","v":11241.123502207814},9782.8583068033458,18654.761497204643,6904.2079658837774,22970.901780319487,36133.9972710371,14447.204033530021,{"$f":"SUM(AZ838:BF838)","v":120135.05435698619},null,{"$f":"BI837*$L$99","v":12628.843478724113},{"$f":"BJ837*$L$99","v":885.92067458592396},11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI838:BO838)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W839*W837+AF839*AF837+AO839*AO837+BG839*BG837+BP839*BP837)/(W837+AF837+AO837+BG837+BP837)","v":6.0649334387085911},{"$f":"ROW()","v":839},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P837:V837,P$339:V$339)/W837","v":6.6226078845238483},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y837:AE837,Y$339:AE$339)/AF837","v":6.1602307432083263},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH837:AN837,AH$339:AN$339)/AO837","v":4.9030837476666926},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ837:BF837,AZ$339:BF$339)/BG837","v":15.476317372112677}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":840}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P841+Y841+AH841+AQ841+AZ841+BI841","v":60742.469780945969},12298.81050846859,73279.155834595877,24065.518998937114,93587.007021016441,193334.05302869563,76825.983899938903,{"$f":"SUM(G841:M841)","v":534132.99907259853},{"$f":"ROW()","v":841},{"$f":"P$152*$W835","v":19986.101922036662},3910.4286923651543,21774.187511962715,7172.8972757036008,30211.88447869266,64027.410725909474,24234.245963251193,171317.15656992144,null,{"$f":"Y$152*$AF835","v":16546.800172921536},3237.5038622054299,18027.183644596131,5938.5516167659925,25012.88231524111,53009.274895323608,20063.903749695502,{"$f":"SUM(Y841:AE841)","v":141836.10025674931},null,{"$f":"AH$152*$AO835","v":9224.5187495692317},1804.8453336367256,10049.803695800842,3310.626837918142,13944.194616872068,29551.638084878508,11185.235477219192,{"$f":"SUM(AH841:AN841)","v":79070.862795894704},null,{"$f":"AQ835","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ841:AW841)","v":36892.383966688518},null,{"$f":"AZ$152*$BG835","v":3595.6130727203881},1574.741745852903,7934.2586833200094,2337.3079558158747,7807.9320783702879,12435.773482699477,4355.6102283050004,{"$f":"SUM(AZ841:BF841)","v":40041.23724708394},null,{"$f":"BI835","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI841:BO841)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":842}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":843},{"$f":"P841*$W837/$W835","v":19987.771776697351},3910.755411782613,21776.006762592049,7173.496576957702,30214.408705593018,64032.760266836944,24236.270753714482,{"$f":"SUM(P843:V843)","v":171331.47025417417},null,{"$f":"Y841*$AF837/$AF835","v":16548.378929843602},3237.8127576764132,18028.903647295559,5939.118223564531,25015.268834730279,53014.332595833694,20065.818079148779,{"$f":"SUM(Y843:AE843)","v":141849.63306809287},null,{"$f":"AH841*$AO837/$AO835","v":9225.0244812523488},1804.9442837817819,10050.354673502339,3310.8083421167198,13944.959103476163,29553.258245243858,11185.848704653328,{"$f":"SUM(AH843:AN843)","v":79075.197834026534},null,{"$f":"AQ841*$AX837/$AX835","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ843:AW843)","v":36892.383966688518},null,{"$f":"AZ841*$BG837/$BG835","v":3595.952586516808},1574.8904399803585,7935.0078713535577,2337.5286548403337,7808.6693380833049,12436.94772380416,4356.0215044168699,{"$f":"SUM(AZ843:BF843)","v":40045.018118995395},null,{"$f":"BI841*$AX837/$AX835","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI843:BO843)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":844}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P845+Y845+AH845+AQ845+AZ845+BI845","v":84031.200659390801},18540.994619525132,107072.16669030464,34670.050039385744,133461.4172285363,269503.62276201107,105453.39552342653,{"$f":"SUM(G845:M845)","v":752732.8475225803},{"$f":"ROW()","v":845},{"$f":"P843*$I$99","v":24984.714720871689},4888.4442647282667,27220.008453240061,8966.8707211971268,37768.010881991271,80040.950333546178,30295.338442143104,{"$f":"SUM(P845:V845)","v":214164.33781771769},null,{"$f":"Y843*$J$99","v":20685.473662304503},4047.2659470955164,22536.12955911945,7423.897779455664,31269.086043412848,66267.915744792117,25082.272598935975,{"$f":"SUM(Y845:AE845)","v":177312.04133511608},null,{"$f":"AH843*$K$99","v":14760.039170003758},2887.9108540508514,16080.567477603743,5297.2933473867524,22311.934565561864,47285.213192390176,17897.357927445326,{"$f":"SUM(AH845:AN845)","v":126520.31653444246},null,{"$f":"AQ843*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR843*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS843*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT843*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU843*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV843*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW843*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ845:AW845)","v":41503.931962524584},null,{"$f":"AZ843*$M$99","v":10787.857759550425},4724.6713199410751,23805.023614060672,7012.5859645210012,23426.008014249914,37310.843171412482,13068.064513250611,{"$f":"SUM(AZ845:BF845)","v":120135.05435698616},null,{"$f":"BI843*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ843*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK843*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL843*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM843*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN843*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO843*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI845:BO845)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":846},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":847},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O849, \" figures are set equal to Row \",$O848, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 849 figures are set equal to Row 848 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O849, \" figures are set equal to Row \",$O848, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 849 figures are set equal to Row 848 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P848+Y848+AH848+AQ848+AZ848+BI848","v":250522.38396177854},29856.794038372245,205003.40062391467,72607.056373145751,265853.24041829933,457577.84513682488,226858.12355233429,{"$f":"SUM(G848:M848)","v":1508278.8441046698},{"$f":"ROW()","v":848},{"$f":"P801","v":8477.8463390739525},{"$f":"Q801","v":2164.5594114894516},17984.503139569035,4760.5092306769475,17357.151349699998,33407.531263214623,11696.285602237493,{"$f":"SUM(P848:V848)","v":95848.386335961506},null,{"$f":"Y801","v":5961.1617811742872},{"$f":"Z801","v":1522.0007913308634},12645.727285111232,3347.3319225008045,12204.607528566192,23490.364251095089,8224.193730948562,{"$f":"SUM(Y848:AE848)","v":67395.387290727027},null,{"$f":"AH801","v":0},{"$f":"AI801","v":0},0,0,0,0,0,{"$f":"SUM(AH848:AN848)","v":0},null,{"$f":"AQ801","v":98921.343502801625},{"$f":"AR801","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ848:AW848)","v":553825.51435896545},null,{"$f":"AZ801","v":5073.2053586049624},{"$f":"BA801","v":1445.6577716182394},8825.5738560759546,2585.5188515961622,9527.4774925038091,17813.447905457142,6420.1852129541257,{"$f":"SUM(AZ848:BF848)","v":51691.066448810394},null,{"$f":"BI801","v":132088.82698012373},{"$f":"BJ801","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI848:BO848)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250523.20742102468,29857.848110533032,204976.56716115391,72605.913761926364,265854.7041011409,457603.72843337519,226867.4122476482,{"$f":"SUM(G849:M849)","v":1508289.3812368023},{"$f":"ROW()","v":849},{"$f":"P848*P828","v":8478.2791438023087},2165.106767500853,17970.128840934369,4759.9028112064498,17357.927381333473,33421.292677473823,11701.210445731589,{"$f":"SUM(P849:V849)","v":95853.848067982864},null,{"$f":"Y848*Y828","v":5961.4661059877126},1522.3856623942636,12635.620057847957,3346.9055212160547,12205.153191925661,23500.040531303042,8227.656613813042,{"$f":"SUM(Y849:AE849)","v":67399.227684487734},null,{"$f":"AH848*AH828","v":0},0,0,0,0,0,0,{"$f":"SUM(AH849:AN849)","v":0},null,{"$f":"AQ848","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ849:AW849)","v":553825.51435896545},null,{"$f":"AZ848*AZ828","v":5073.2916883093012},1445.7796167042234,8823.2219192131506,2585.4090611320239,9527.6194803524377,17815.89350754027,6421.0861819094562,{"$f":"SUM(AZ849:BF849)","v":51692.301455160865},null,{"$f":"BI848","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI849:BO849)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,0.8234592461203647,1.0540721607856085,-26.833462760745533,-1.1426112193857989,1.4636828415732452,25.883296550291561,9.2886953139068282,{"$f":"W850+AF850+AO850+AX850+BG850+BP850","v":10.537132132551051},{"$f":"ROW()","v":850},{"$f":"P849-P848","v":0.43280472835613182},0.54735601140146173,-14.374298634666047,-0.60641947049771261,0.77603163347521331,13.761414259199228,4.9248434940964216,5.4617320213583298,null,{"$f":"Y849-Y848","v":0.30432481342540996},0.38487106340016908,-10.10722726327549,-0.42640128474977246,0.5456633594694722,9.6762802079538233,3.4628828644799796,3.8403937607072294,null,{"$f":"AH849-AH848","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ849-AQ848","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ849-AZ848","v":8.6329704338822921E-2},0.1218450859839777,-2.3519368628039956,-0.10979046413831384,0.14198784862855973,2.4456020831275964,0.90096895533042698,1.2350063504709397,null,{"$f":"BI849-BI848","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":851}]
[null,"Total Cordon VMT before seventh rebound effect",null,null,null,null,{"$f":"P852+Y852+AH852+AQ852+AZ852+BI852","v":407131.52857893973},102626.73388160186,424825.22957165062,150954.15798843681,545305.36171460466,967721.8466229348,423587.91969032772,3022152.7780484967,{"$f":"ROW()","v":852},{"$f":"P805","v":41752.898234747205},{"$f":"Q805","v":36555.335242407135},96819.524332962508,29864.244472173967,100525.05007321967,160338.99618680376,58285.229218450884,{"$f":"SUM(P852:V852)","v":524141.27776076522},null,{"$f":"Y805","v":47933.564172253013},{"$f":"Z805","v":10091.299851395344},46888.562752790502,19233.688159419693,76970.163397341923,159301.93315838376,61566.426441016069,{"$f":"SUM(Y852:AE852)","v":421985.63793260034},null,{"$f":"AH805","v":38913.187940176489},{"$f":"AI805","v":10880.677536051406},27305.519256016574,9492.2703921481188,40772.42529335276,83890.099326747237,41772.581202370464,{"$f":"SUM(AH852:AN852)","v":253026.76094686304},null,{"$f":"AQ805","v":101102.94289294499},{"$f":"AR805","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ852:AW852)","v":632517.43270702334},null,{"$f":"AZ805","v":27100.376506612964},{"$f":"BA805","v":15951.703372040292},51281.56417804298,16501.002911209722,55920.603838966599,91250.265859086372,33932.973265355118,{"$f":"SUM(AZ852:BF852)","v":291938.48993131402},null,{"$f":"BI805","v":150328.55883220508},{"$f":"BJ805","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI852:BO852)","v":898543.17876993015}]
[null,"Total Cordon VMT with seventh rebound effect",null,null,null,null,407141.45598512318,102639.20930169596,424809.70525964745,150956.9070545655,545315.12863239041,967799.02735332306,423608.05518636433,3022269.4887731103,{"$f":"ROW()","v":853},{"$f":"P838+P845+P849","v":41756.029273427237},36561.771910542142,96809.552686064431,29865.064763067574,100528.87213410922,160367.55562469945,58293.677311508203,{"$f":"SUM(P853:V853)","v":524182.52370341826},null,{"$f":"Y838+Y845+Y849","v":47937.410329281003},10092.911000566473,46881.088377516753,19234.325366857694,76973.611599571639,159329.9605683246,61574.003112601713,{"$f":"SUM(Y853:AE853)","v":422023.31035471987},null,{"$f":"AH838+AH845+AH849","v":38914.241707197332},10883.499267431005,27305.998113749738,9492.3618796181072,40770.996512064099,83900.225118395436,41773.310470429205,{"$f":"SUM(AH853:AN853)","v":253040.6330688849},null,{"$f":"AQ852","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ853:AW853)","v":632517.43270702334},null,{"$f":"AZ838+AZ845+AZ849","v":27102.272950067541},15953.309243448644,51283.007030478468,16502.202991536804,55924.529274921835,91260.733949989852,33936.354728690087,{"$f":"SUM(AZ853:BF853)","v":291962.41016913322},null,{"$f":"BI852","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI853:BO853)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with seventh rebound effect",null,null,null,null,{"$f":"G853/G$135","v":67856.909330853858},102639.20930169596,141603.23508654916,150956.9070545655,136328.7821580976,161299.8378922205,141202.68506212145,null,{"$f":"ROW()","v":854}]
[null,"Factor Change",null,null,null,null,{"$f":"G853/G852","v":1.0000243837813743},1.0001215611139733,0.999963457179747,1.0000182112647,1.0000179109146388,1.0000797550769962,1.0000475355766787,null,{"$f":"ROW()","v":855},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":856}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":857}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G854*$G$481/V_sub_k)^KSE)","v":20.661151456443079},16.427737428067871,9.8706305095217104,8.5036304228739095,10.701819972867309,7.1687273825153541,9.9323279320490467,null,{"$f":"ROW()","v":858},{"$f":"G858","v":20.661151456443079},16.427737428067871,9.8706305095217104,8.5036304228739095,10.701819972867309,7.1687273825153541,9.9323279320490467,null,null,{"$f":"G858","v":20.661151456443079},16.427737428067871,9.8706305095217104,8.5036304228739095,10.701819972867309,7.1687273825153541,9.9323279320490467,null,null,{"$f":"P858","v":20.661151456443079},16.427737428067871,9.8706305095217104,8.5036304228739095,10.701819972867309,7.1687273825153541,9.9323279320490467,null,null,{"$f":"G858*$AU$198","v":20.247928427314218},16.099182679506512,9.6732178993312754,8.333557814416432,10.487783573409963,7.0253528348650471,9.7336813734080661,null,null,{"$f":"G858","v":20.661151456443079},16.427737428067871,9.8706305095217104,8.5036304228739095,10.701819972867309,7.1687273825153541,9.9323279320490467,null,null,{"$f":"Y858*$AU$198","v":20.247928427314218},{"$f":"Z858*$AU$198","v":16.099182679506512},{"$f":"AA858*$AU$198","v":9.6732178993312754},{"$f":"AB858*$AU$198","v":8.333557814416432},{"$f":"AC858*$AU$198","v":10.487783573409963},{"$f":"AD858*$AU$198","v":7.0253528348650471},{"$f":"AE858*$AU$198","v":9.7336813734080661}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G811 / 'Speed-Vol., non-Cordon'!$Y$4)^G830,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H811 / 'Speed-Vol., non-Cordon'!$Y$4)^H830,'Speed-Vol., non-Cordon'!$Y$6)","v":37.3206637555257},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I811 / 'Speed-Vol., non-Cordon'!$Y$4)^I830,'Speed-Vol., non-Cordon'!$Y$6)","v":19.156039368879217},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J811 / 'Speed-Vol., non-Cordon'!$Y$4)^J830,'Speed-Vol., non-Cordon'!$Y$6)","v":21.461664412173505},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K811 / 'Speed-Vol., non-Cordon'!$Y$4)^K830,'Speed-Vol., non-Cordon'!$Y$6)","v":24.527763836142935},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L811 / 'Speed-Vol., non-Cordon'!$Y$4)^L830,'Speed-Vol., non-Cordon'!$Y$6)","v":16.50830164653302},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M811 / 'Speed-Vol., non-Cordon'!$Y$4)^M830,'Speed-Vol., non-Cordon'!$Y$6)","v":27.33863607829419},null,{"$f":"ROW()","v":859},55,37.3206637555257,19.156039368879217,21.461664412173505,24.527763836142935,16.50830164653302,27.33863607829419,"Avgs are wghtd by periods' cordon VMT.",null,55,37.3206637555257,19.156039368879217,21.461664412173505,24.527763836142935,16.50830164653302,27.33863607829419,"Avgs are wghtd by periods' cordon VMT.",null,55,37.3206637555257,19.156039368879217,21.461664412173505,24.527763836142935,16.50830164653302,27.33863607829419,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G859*$AV$198","v":54.45},36.947457117970444,18.964478975190424,21.247047768051768,24.282486197781505,16.343218630067689,27.065249717511247,"Avgs are wghtd by periods' cordon VMT.",null,55,37.3206637555257,19.156039368879217,21.461664412173505,24.527763836142935,16.50830164653302,27.33863607829419,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y859*$AV$198","v":54.45},{"$f":"Z859*$AV$198","v":36.947457117970444},{"$f":"AA859*$AV$198","v":18.964478975190424},{"$f":"AB859*$AV$198","v":21.247047768051768},{"$f":"AC859*$AV$198","v":24.282486197781505},{"$f":"AD859*$AV$198","v":16.343218630067689},{"$f":"AE859*$AV$198","v":27.065249717511247},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":860}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":861}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":862},{"$f":"($I$99)*60/P858","v":3.6300009783148663},4.5654491574632523,7.598298804483786,8.8197624156216321,7.0081537710548369,10.462107986269119,7.5510998542440841,{"$f":"SUMPRODUCT(P$562:V$562,P862:V862)/W$562","v":7.9213136124850418},null,{"$f":"($J$99)*60/Y858","v":3.6300009783148663},4.5654491574632523,7.598298804483786,8.8197624156216321,7.0081537710548369,10.462107986269119,7.5510998542440841,{"$f":"SUMPRODUCT(Y$562:AE$562,Y862:AE862)/AF$562","v":8.1176151958840439},null,{"$f":"($K$99)*60/AH858","v":4.6464012522430291},5.8437749215529626,9.7258224697392475,11.289295891995691,8.9704368269501913,13.391498222424472,9.6654078134324273,{"$f":"SUMPRODUCT(AH$562:AN$562,AH862:AN862)/AO$562","v":9.991550634307977},null,{"$f":"($L$99)*60/AQ858","v":4.4448991571202443},5.5903459070978609,9.3040393524291272,10.799709080353018,8.5814127808834737,12.810744472982593,9.2462447194825508,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ862:AW862)/AX$562","v":9.4588953890660665},null,{"$f":"($M$99)*60/AZ858","v":8.7120023479556785},10.957077977911805,18.235917130761088,21.16742979749192,16.819569050531609,25.109059167045885,18.1226396501858,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ862:BF862)/BG$562","v":19.001704434610545},null,{"$f":"($L$99)*60/BI858","v":4.4448991571202443},5.5903459070978609,9.3040393524291272,10.799709080353018,8.5814127808834737,12.810744472982593,9.2462447194825508,{"$f":"SUMPRODUCT(BI$562:BO$562,BI862:BO862)/BP$562","v":9.4541688580370256}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":863},{"$f":"60*$I$99/(1/($P$152/$P858+$Q$152/$Q858+$R$152/$R858+$S$152/$S858+$T$152/$T858+$U$152/$U858+$V$152/$V858))","v":8.0768261728909874},8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,{"$f":"SUMPRODUCT(P$463:V$463,P863:V863)/W$463","v":8.0768261728909874},null,{"$f":"60*$J$99/(1/($Y$152/$Y858+$Z$152/$Z858+$AA$152/$AA858+$AB$152/$AB858+$AC$152/$AC858+$AD$152/$AD858+$AE$152/$AE858))","v":8.0768261728909874},8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,8.0768261728909874,{"$f":"SUMPRODUCT(Y$463:AE$463,Y863:AE863)/AF$463","v":8.0768261728909856},null,{"$f":"AH862","v":4.6464012522430291},5.8437749215529626,9.7258224697392475,11.289295891995691,8.9704368269501913,13.391498222424472,9.6654078134324273,{"$f":"SUMPRODUCT(AH$463:AN$463,AH863:AN863)/AO$463","v":9.8012222394048152},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ858+$BA$152/$BA858+$BB$152/$BB858+$BC$152/$BC858+$BD$152/$BD858+$BE$152/$BE858+$BF$152/$BF858))","v":19.111662767818636},19.111662767818636,19.111662767818636,19.111662767818636,19.111662767818636,19.111662767818636,19.111662767818636,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ863:BF863)/BG$463","v":19.111662767818633}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":864},{"$f":"($I$93)*60/P859","v":18.389355683366585},27.100658477313715,52.798730630523764,47.126566847791487,41.235498243618537,61.267026992905343,36.995794511789342,{"$f":"SUMPRODUCT(P$562:V$562,P864:V864)/W$562","v":46.75372209169516},null,{"$f":"($J$93)*60/Y859","v":18.389355683366585},27.100658477313715,52.798730630523764,47.126566847791487,41.235498243618537,61.267026992905343,36.995794511789342,{"$f":"SUMPRODUCT(Y$562:AE$562,Y864:AE864)/AF$562","v":46.959352721048397},null,{"$f":"($K$93)*60/AH859","v":27.584033525049882},40.650987715970572,79.198095945785653,70.689850271687234,61.853247365427812,91.900540489358022,55.493691767684012,{"$f":"SUMPRODUCT(AH$562:AN$562,AH864:AN864)/AO$562","v":67.380083208384931},null,{"$f":"($L$93)*60/AQ859","v":6.6115702479338836},9.7435663529034535,18.982857397292943,16.943530410907996,14.825500036025565,22.027484802637616,13.301188932577245,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ864:AW864)/AX$562","v":16.096887760189372},null,{"$f":"($M$93)*60/AZ859","v":16.961695569840352},24.996695194176315,48.699694043059445,43.467889462108204,38.034174765110578,56.51055307298315,34.123621005434877,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ864:BF864)/BG$562","v":42.922905732286651},null,{"$f":"($L$93)*60/BI859","v":6.6115702479338836},9.7435663529034535,18.982857397292943,16.943530410907996,14.825500036025565,22.027484802637616,13.301188932577245,{"$f":"SUMPRODUCT(BI$562:BO$562,BI864:BO864)/BP$562","v":15.986989469422534}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":865},{"$f":"60*$I$93/(1/($P$152/$P859+$Q$152/$Q859+$R$152/$R859+$S$152/$S859+$T$152/$T859+$U$152/$U859+$V$152/$V859))","v":46.850687745770792},46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,{"$f":"SUMPRODUCT(P$562:V$562,P865:V865)/W$562","v":46.850687745770792},null,{"$f":"60*$J$93/(1/($Y$152/$Y859+$Z$152/$Z859+$AA$152/$AA859+$AB$152/$AB859+$AC$152/$AC859+$AD$152/$AD859+$AE$152/$AE859))","v":46.850687745770792},46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,46.850687745770792,{"$f":"SUMPRODUCT(Y$562:AE$562,Y865:AE865)/AF$562","v":46.850687745770792},null,{"$f":"AH864","v":27.584033525049882},40.650987715970572,79.198095945785653,70.689850271687234,61.853247365427812,91.900540489358022,55.493691767684012,{"$f":"SUMPRODUCT(AH$562:AN$562,AH865:AN865)/AO$562","v":67.380083208384931},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ859+$BA$152/$BA859+$BB$152/$BB859+$BC$152/$BC859+$BD$152/$BD859+$BE$152/$BE859+$BF$152/$BF859))","v":43.37265406004957},43.37265406004957,43.37265406004957,43.37265406004957,43.37265406004957,43.37265406004957,43.37265406004957,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ865:BF865)/BG$562","v":43.37265406004957}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":866},{"$f":"SUM(P862:P865)","v":76.94687058034323},86.593621553438737,115.32454335366933,110.87384318207489,103.17116593333515,126.65664889783625,99.474408284695215,109.60254962284199,null,{"$f":"SUM(Y862:Y865)","v":76.94687058034323},86.593621553438737,115.32454335366933,110.87384318207489,103.17116593333515,126.65664889783625,99.474408284695215,110.00448183559422,null,{"$f":"SUM(AH862:AH865)","v":64.460869554585827},92.989525275047072,177.84783683104979,163.95829232736585,141.64736838475602,210.58407742356499,130.31819916223287,154.55293929048264,null,{"$f":"AQ862+AQ864","v":11.056469405054127},15.333912260001314,28.286896749722068,27.743239491261015,23.406912816909038,34.838229275620208,22.547433652059794,25.55578314925544,null,{"$f":"SUM(AZ862:AZ865)","v":88.158014745664232},98.438089999956333,129.41992800168873,127.11963608746834,117.33806064351039,144.10392906789724,114.73057748348887,124.40892699476539,null,{"$f":"BI862+BI864","v":11.056469405054127},15.333912260001314,28.286896749722068,27.743239491261015,23.406912816909038,34.838229275620208,22.547433652059794,25.441158327459561]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":867}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":868},{"$f":"P866/P818","v":0.99997640107942443},1.0000267654159269,0.99990228389821323,0.99989620291612635,0.99989695888284469,1.0000215557005039,0.99994691481967968,0.99995836081228939,null,{"$f":"Y866/Y818","v":0.99997640107942443},1.0000267654159269,0.99990228389821323,0.99989620291612635,0.99989695888284469,1.0000215557005039,0.99994691481967968,0.99996714550462751,null,{"$f":"AH866/AH818","v":1.0000008556462716},1.000131408250539,0.99984242556011127,0.99982199989258569,0.99981297186546636,1.0000603732044657,0.99991807779818509,0.99996429128206843,null,{"$f":"AQ866/AQ818","v":1.0000023861064962},1.0001291480237897,0.99986140148997071,0.99988695664020477,0.99987445905604333,1.0001030009767855,0.99997530173873261,0.99999301436981258,null,{"$f":"AZ866/AZ818","v":0.99998257808022784},1.0000312438204515,0.99991352217001905,0.99992191843001332,0.99992059150327894,1.0000412874838156,0.99996862202406034,0.99997705176776708,null,{"$f":"BI866/BI818","v":1.0000023861064962},1.0001291480237897,0.99986140148997071,0.99988695664020477,0.99987445905604333,1.0001030009767855,0.99997530173873261,0.99999642716068382]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":869}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":870}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$858,G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":20.655723120543449},16.407734189010949,9.9115824572041316,8.5096552665085383,10.699653205331954,7.154614537730108,9.9113405176053408,null,{"$f":"ROW()","v":871},{"$f":"G871","v":20.655723120543449},16.407734189010949,9.9115824572041316,8.5096552665085383,10.699653205331954,7.154614537730108,9.9113405176053408,null,null,{"$f":"G871","v":20.655723120543449},16.407734189010949,9.9115824572041316,8.5096552665085383,10.699653205331954,7.154614537730108,9.9113405176053408,null,null,{"$f":"P871","v":20.655723120543449},16.407734189010949,9.9115824572041316,8.5096552665085383,10.699653205331954,7.154614537730108,9.9113405176053408,null,null,{"$f":"G871*$AU$198","v":20.242608658132578},16.079579505230729,9.7133508080600492,8.3394621611783677,10.485660141225315,7.0115222469755061,9.7131137072532336,null,null,{"$f":"G871","v":20.655723120543449},16.407734189010949,9.9115824572041316,8.5096552665085383,10.699653205331954,7.154614537730108,9.9113405176053408,null,null,{"$f":"Y871*$AU$198","v":20.242608658132578},{"$f":"Z871*$AU$198","v":16.079579505230729},{"$f":"AA871*$AU$198","v":9.7133508080600492},{"$f":"AB871*$AU$198","v":8.3394621611783677},{"$f":"AC871*$AU$198","v":10.485660141225315},{"$f":"AD871*$AU$198","v":7.0115222469755061},{"$f":"AE871*$AU$198","v":9.7131137072532336}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$859,G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":55},37.353006932517154,19.148082714737804,21.448825976066015,24.510086787618746,16.509656683896551,27.326741180310712,null,{"$f":"ROW()","v":872},55,37.353006932517154,19.148082714737804,21.448825976066015,24.510086787618746,16.509656683896551,27.326741180310712,null,null,55,37.353006932517154,19.148082714737804,21.448825976066015,24.510086787618746,16.509656683896551,27.326741180310712,null,null,55,37.353006932517154,19.148082714737804,21.448825976066015,24.510086787618746,16.509656683896551,27.326741180310712,null,null,{"$f":"G872*$AV$198","v":54.45},36.979476863191984,18.956601887590427,21.234337716305355,24.264985919742557,16.344560117057586,27.053473768507605,null,null,55,37.353006932517154,19.148082714737804,21.448825976066015,24.510086787618746,16.509656683896551,27.326741180310712,null,null,{"$f":"Y872*$AV$198","v":54.45},{"$f":"Z872*$AV$198","v":36.979476863191984},{"$f":"AA872*$AV$198","v":18.956601887590427},{"$f":"AB872*$AV$198","v":21.234337716305355},{"$f":"AC872*$AV$198","v":24.264985919742557},{"$f":"AD872*$AV$198","v":16.344560117057586},{"$f":"AE872*$AV$198","v":27.053473768507605}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":873}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":874},{"$f":"P868^Elasticities!$G$67","v":1.0000235994774977},{"$f":"Q868^Elasticities!$G$67","v":0.99997323530044135},{"$f":"R868^Elasticities!$G$67","v":1.0000977256511565},{"$f":"S868^Elasticities!$G$67","v":1.0001038078588267},{"$f":"T868^Elasticities!$G$67","v":1.0001030517357212},{"$f":"U868^Elasticities!$G$67","v":0.99997844476413433},{"$f":"V868^Elasticities!$G$67","v":1.0000530879985063},null,null,{"$f":"Y868^Elasticities!$H$67","v":1.0000235994774977},{"$f":"Z868^Elasticities!$H$67","v":0.99997323530044135},{"$f":"AA868^Elasticities!$H$67","v":1.0000977256511565},{"$f":"AB868^Elasticities!$H$67","v":1.0001038078588267},{"$f":"AC868^Elasticities!$H$67","v":1.0001030517357212},{"$f":"AD868^Elasticities!$H$67","v":0.99997844476413433},{"$f":"AE868^Elasticities!$H$67","v":1.0000530879985063},null,null,{"$f":"AH868^Elasticities!$I$67","v":0.99999914435446047},{"$f":"AI868^Elasticities!$I$67","v":0.99986860901532038},{"$f":"AJ868^Elasticities!$I$67","v":1.0001575992735059},{"$f":"AK868^Elasticities!$I$67","v":1.0001780317970934},{"$f":"AL868^Elasticities!$I$67","v":1.0001870631206},{"$f":"AM868^Elasticities!$I$67","v":0.99993963044023804},{"$f":"AN868^Elasticities!$I$67","v":1.0000819289136118},null,null,{"$f":"AQ868^Elasticities!$G$69","v":0.99999856833883527},{"$f":"AR868^Elasticities!$G$69","v":0.99992251919085195},{"$f":"AS868^Elasticities!$G$69","v":1.0000831683277078},{"$f":"AT868^Elasticities!$G$69","v":1.0000678321503027},{"$f":"AU868^Elasticities!$G$69","v":1.0000753321322509},{"$f":"AV868^Elasticities!$G$69","v":0.99993820450589077},{"$f":"AW868^Elasticities!$G$69","v":1.0000148192495688},null,null,{"$f":"AZ868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000058073740412},{"$f":"BA868^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99998958561010565},{"$f":"BB868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000288276053089},{"$f":"BC868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.000026028544907},{"$f":"BD868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000264709002622},{"$f":"BE868^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99998623788419516},{"$f":"BF868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000104595441135},null,null,{"$f":"BI868^Elasticities!$G$69","v":0.99999856833883527},{"$f":"BJ868^Elasticities!$G$69","v":0.99992251919085195},{"$f":"BK868^Elasticities!$G$69","v":1.0000831683277078},{"$f":"BL868^Elasticities!$G$69","v":1.0000678321503027},{"$f":"BM868^Elasticities!$G$69","v":1.0000753321322509},{"$f":"BN868^Elasticities!$G$69","v":0.99993820450589077},{"$f":"BO868^Elasticities!$G$69","v":1.0000148192495688}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":875},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":876},{"$f":"(P823/P871)^Elasticities!$G$67","v":1.0000375443487177},{"$f":"(Q823/Q871)^Elasticities!$G$67","v":1.0001741924460708},{"$f":"(R823/R871)^Elasticities!$G$67","v":0.99941010154579257},{"$f":"(S823/S871)^Elasticities!$G$67","v":0.99989886724236177},{"$f":"(T823/T871)^Elasticities!$G$67","v":1.0000289305801335},{"$f":"(U823/U871)^Elasticities!$G$67","v":1.0002818724841034},{"$f":"(V823/V871)^Elasticities!$G$67","v":1.0003025937102197},null,null,{"$f":"(Y823/Y871)^Elasticities!$H$67","v":1.0000375443487177},{"$f":"(Z823/Z871)^Elasticities!$H$67","v":1.0001741924460708},{"$f":"(AA823/AA871)^Elasticities!$H$67","v":0.99941010154579257},{"$f":"(AB823/AB871)^Elasticities!$H$67","v":0.99989886724236177},{"$f":"(AC823/AC871)^Elasticities!$H$67","v":1.0000289305801335},{"$f":"(AD823/AD871)^Elasticities!$H$67","v":1.0002818724841034},{"$f":"(AE823/AE871)^Elasticities!$H$67","v":1.0003025937102197},null,null,{"$f":"(AH823/AH871)^Elasticities!$I$67","v":1.0000375443487177},{"$f":"(AI823/AI871)^Elasticities!$I$67","v":1.0001741924460708},{"$f":"(AJ823/AJ871)^Elasticities!$I$67","v":0.99941010154579257},{"$f":"(AK823/AK871)^Elasticities!$I$67","v":0.99989886724236177},{"$f":"(AL823/AL871)^Elasticities!$I$67","v":1.0000289305801335},{"$f":"(AM823/AM871)^Elasticities!$I$67","v":1.0002818724841034},{"$f":"(AN823/AN871)^Elasticities!$I$67","v":1.0003025937102197},null,null,{"$f":"(AQ823/AQ871)^Elasticities!$G$69","v":1.0000225264400842},{"$f":"(AR823/AR871)^Elasticities!$G$69","v":1.0001045118267773},{"$f":"(AS823/AS871)^Elasticities!$G$69","v":0.99964601915835394},{"$f":"(AT823/AT871)^Elasticities!$G$69","v":0.99993931911801881},{"$f":"(AU823/AU871)^Elasticities!$G$69","v":1.0000173582476439},{"$f":"(AV823/AV871)^Elasticities!$G$69","v":1.0001691139574644},{"$f":"(AW823/AW871)^Elasticities!$G$69","v":1.0001815452401286},null,null,{"$f":"(AZ823/AZ871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000125146262893},{"$f":"(BA823/BA871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000580607775711},{"$f":"(BB823/BB871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99980332850478948},{"$f":"(BC823/BC871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996628794429732},{"$f":"(BD823/BD871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000096434337151},{"$f":"(BE823/BE871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000939486680724},{"$f":"(BF823/BF871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001008543981216},null,null,{"$f":"(BI823/BI871)^Elasticities!$G$69","v":1.0000225264400842},{"$f":"(BJ823/BJ871)^Elasticities!$G$69","v":1.0001045118267773},{"$f":"(BK823/BK871)^Elasticities!$G$69","v":0.99964601915835394},{"$f":"(BL823/BL871)^Elasticities!$G$69","v":0.99993931911801881},{"$f":"(BM823/BM871)^Elasticities!$G$69","v":1.0000173582476439},{"$f":"(BN823/BN871)^Elasticities!$G$69","v":1.0001691139574644},{"$f":"(BO823/BO871)^Elasticities!$G$69","v":1.0001815452401286}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":877},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P878+$J$85*$J$93*Y878+$K$85*$K$93*AH878+$L$85*$L$93*AQ878+$M$85*$M$93*AZ878+$N$85*$N$93*BI878)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},0.9998792597117081,1.0001130863189198,1.0001484841180253,1.0001587378051124,0.99997508494094844,1.0000861377124766,null,{"$f":"ROW()","v":878},{"$f":"(P824/P872)^Elasticities!$G$67","v":1},{"$f":"(Q824/Q872)^Elasticities!$G$67","v":0.99987631832696078},{"$f":"(R824/R872)^Elasticities!$G$67","v":1.0000593653355678},{"$f":"(S824/S872)^Elasticities!$G$67","v":1.0000855160625066},{"$f":"(T824/T872)^Elasticities!$G$67","v":1.000103041367328},{"$f":"(U824/U872)^Elasticities!$G$67","v":0.99998827507438548},{"$f":"(V824/V872)^Elasticities!$G$67","v":1.0000621873205591},null,null,{"$f":"(Y811/Y859)^Elasticities!$H$67","v":1},{"$f":"(Z811/Z859)^Elasticities!$H$67","v":0.99986742014280794},{"$f":"(AA811/AA859)^Elasticities!$H$67","v":1.0001670554772659},{"$f":"(AB811/AB859)^Elasticities!$H$67","v":1.0002136002801691},{"$f":"(AC811/AC859)^Elasticities!$H$67","v":1.0002195282093842},{"$f":"(AD811/AD859)^Elasticities!$H$67","v":0.99996216630616663},{"$f":"(AE811/AE859)^Elasticities!$H$67","v":1.0001143622870006},null,null,{"$f":"(AH811/AH859)^Elasticities!$I$67","v":1},{"$f":"(AI811/AI859)^Elasticities!$I$67","v":0.99986742014280794},{"$f":"(AJ811/AJ859)^Elasticities!$I$67","v":1.0001670554772659},{"$f":"(AK811/AK859)^Elasticities!$I$67","v":1.0002136002801691},{"$f":"(AL811/AL859)^Elasticities!$I$67","v":1.0002195282093842},{"$f":"(AM811/AM859)^Elasticities!$I$67","v":0.99996216630616663},{"$f":"(AN811/AN859)^Elasticities!$I$67","v":1.0001143622870006},null,null,{"$f":"(AQ824/AQ872)^Elasticities!$G$69","v":1},{"$f":"(AR824/AR872)^Elasticities!$G$69","v":0.99992578916041186},{"$f":"(AS824/AS872)^Elasticities!$G$69","v":1.0000356187784434},{"$f":"(AT824/AT872)^Elasticities!$G$69","v":1.0000513087599794},{"$f":"(AU824/AU872)^Elasticities!$G$69","v":1.0000618235463552},{"$f":"(AV824/AV872)^Elasticities!$G$69","v":0.9999929650281344},{"$f":"(AW824/AW872)^Elasticities!$G$69","v":1.0000373119282775},null,null,{"$f":"(AZ811/AZ859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA811/BA859)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995580476107904},{"$f":"(BB811/BB859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000556820585396},{"$f":"(BC811/BC859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000711950245378},{"$f":"(BD811/BD859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000731707157104},{"$f":"(BE811/BE859)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99998738860967573},{"$f":"(BF811/BF859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000381193092334},null,null,{"$f":"(BI824/BI872)^Elasticities!$G$69","v":1},{"$f":"(BJ824/BJ872)^Elasticities!$G$69","v":0.99992578916041186},{"$f":"(BK824/BK872)^Elasticities!$G$69","v":1.0000356187784434},{"$f":"(BL824/BL872)^Elasticities!$G$69","v":1.0000513087599794},{"$f":"(BM824/BM872)^Elasticities!$G$69","v":1.0000618235463552},{"$f":"(BN824/BN872)^Elasticities!$G$69","v":0.9999929650281344},{"$f":"(BO824/BO872)^Elasticities!$G$69","v":1.0000373119282775}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":879},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 9 • (Rebound Effect 8)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":880},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":881},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":882}]
[null,"Period entries with seventh rebound effect but before eighth",null,null,null,null,{"$f":"P883+Y883+AH883+AQ883+AZ883+BI883","v":53899.658392640376},37254.670617217205,79390.873600860446,29910.906438152666,98925.839496524815,162412.85757537739,72374.155357465235,{"$f":"SUM(G883:M883)","v":534168.96147823811},{"$f":"ROW()","v":883},{"$f":"P837","v":6634.4283270025953},23606.576702650422,41295.532313512005,12910.632984531196,36322.347096627578,37524.250090943562,13037.70273890681,{"$f":"SUM(P883:V883)","v":171331.47025417417},null,{"$f":"Y837","v":17032.376448791034},3618.6075128613547,9367.4710084394774,6770.8176529487819,26799.497891386505,55649.603433783566,22611.259119882154,{"$f":"SUM(Y883:AE883)","v":141849.63306809287},null,{"$f":"AH837","v":15096.376585745982},4997.2427583625959,7015.8941475912461,2621.9178326445963,11536.913716563897,22884.382453753289,14922.470339364923,{"$f":"SUM(AH883:AN883)","v":79075.197834026534},null,{"$f":"AQ837","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ883:AW883)","v":36892.383966688518},null,{"$f":"AZ837","v":3747.0411674026045},3260.9527689344486,6218.2538324015477,2301.4026552945925,7656.9672601064958,12044.665757012366,4815.7346778433403,{"$f":"SUM(AZ883:BF883)","v":40045.018118995395},null,{"$f":"BI837","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI883:BO883)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O837,\".\")","v":"Above row repeats figures in Row 837."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":884},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O885, \" figures are set equal to Row \",$O883, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 885 figures are set equal to Row 883 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O885, \" figures are set equal to Row \",$O883, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 885 figures are set equal to Row 883 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P885+Y885+AH885+AQ885+AZ885+BI885","v":53900.225760189445},37253.251389860976,79397.109633037457,29913.476214307888,98934.70513011131,162409.30191080904,72377.320841671768,{"$f":"SUM(G885:M885)","v":534185.39087998786},{"$f":"ROW()","v":885},{"$f":"P883*P874","v":6634.5848960446092},23605.944879717368,41299.567946297197,12911.973209697417,36326.090177541351,37523.441246882168,13038.394884450339,{"$f":"SUM(P885:V885)","v":171339.99724063044},null,{"$f":"Y883*Y874","v":17032.778403975772},3618.5106619184526,9368.3864506434675,6771.5205170318404,26802.25962616067,55648.403893455717,22612.459506372536,{"$f":"SUM(Y885:AE885)","v":141854.31905955845},null,{"$f":"AH883*AH874","v":15096.363668598693},4996.5861657158912,7016.9998474119011,2622.3846173881734,11539.07184764581,22883.000933659132,14923.692921148231,{"$f":"SUM(AH885:AN885)","v":79078.100001567829},null,{"$f":"AQ883","v":2970.2068778820894},{"$f":"AR883","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ885:AW885)","v":36892.383966688518},null,{"$f":"AZ883*AZ874","v":3747.0629278722113},3260.9188081008861,6218.4330897687387,2301.462557456955,7657.1699469231489,12044.499996927387,4815.7850482326421,{"$f":"SUM(AZ885:BF885)","v":40045.332375281963},null,{"$f":"BI883","v":8419.2289858160748},{"$f":"BJ883","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI885:BO885)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,82063.728573947272,54464.800028105426,116458.02546971533,43663.773187703766,145259.63234939077,240676.04166988609,108369.31452926571,{"$f":"SUM(G886:M886)","v":790955.31580801448},{"$f":"ROW()","v":886},{"$f":"P885*$I$99","v":8293.2311200557615},29507.43109964671,51624.459932871498,16139.966512121771,45407.612721926693,46904.30155860271,16297.993605562924,{"$f":"SUM(P886:V886)","v":214174.99655078808},null,{"$f":"Y885*$J$99","v":21290.973004969714},4523.1383273980655,11710.483063304335,8464.4006462897996,33502.824532700841,69560.504866819654,28265.574382965671,{"$f":"SUM(Y886:AE886)","v":177317.89882444806},null,{"$f":"AH885*$K$99","v":24154.181869757911},7994.5378651454266,11227.199755859043,4195.8153878210778,18462.514956233295,36612.801493854611,23877.90867383717,{"$f":"SUM(AH886:AN886)","v":126524.96000250854},null,{"$f":"AQ885*$L$99","v":4455.3103168231337},{"$f":"AR885*$L$99","v":1771.0156370266441},11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ886:AW886)","v":55338.575950032769},null,{"$f":"AZ885*$M$99","v":11241.188783616633},9782.7564243026573,18655.299269306215,6904.3876723708654,22971.509840769446,36133.499990782162,14447.355144697925,{"$f":"SUM(AZ886:BF886)","v":120135.99712584591},null,{"$f":"BI885*$L$99","v":12628.843478724113},{"$f":"BJ885*$L$99","v":885.92067458592396},11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI886:BO886)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W887*W885+AF887*AF885+AO887*AO885+BG887*BG885+BP887*BP885)/(W885+AF885+AO885+BG885+BP885)","v":6.0649915863390964},{"$f":"ROW()","v":887},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P885:V885,P$339:V$339)/W885","v":6.6227080590917362},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y885:AE885,Y$339:AE$339)/AF885","v":6.1602259741471315},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH885:AN885,AH$339:AN$339)/AO885","v":4.9031652119811069},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ885:BF885,AZ$339:BF$339)/BG885","v":15.47634732365961}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":888}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P889+Y889+AH889+AQ889+AZ889+BI889","v":60746.563638008272},12299.693767629544,73283.995253659697,24067.087110212793,93593.4195137231,193347.25467160324,76830.947523401468,{"$f":"SUM(G889:M889)","v":534168.96147823811},{"$f":"ROW()","v":889},{"$f":"P$152*$W883","v":19987.771776697351},3910.755411782613,21776.006762592049,7173.496576957702,30214.408705593021,64032.760266836944,24236.270753714482,171331.47025417414,null,{"$f":"Y$152*$AF883","v":16548.378929843602},3237.8127576764132,18028.903647295556,5939.118223564531,25015.268834730279,53014.332595833694,20065.818079148783,{"$f":"SUM(Y889:AE889)","v":141849.63306809287},null,{"$f":"AH$152*$AO883","v":9225.0244812523488},1804.9442837817819,10050.354673502339,3310.8083421167203,13944.959103476165,29553.258245243858,11185.848704653328,{"$f":"SUM(AH889:AN889)","v":79075.197834026534},null,{"$f":"AQ883","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ889:AW889)","v":36892.383966688518},null,{"$f":"AZ$152*$BG883","v":3595.952586516808},1574.8904399803585,7935.0078713535577,2337.5286548403337,7808.6693380833058,12436.94772380416,4356.0215044168708,{"$f":"SUM(AZ889:BF889)","v":40045.018118995395},null,{"$f":"BI883","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI889:BO889)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":890}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":891},{"$f":"P889*$W885/$W883","v":19988.766547004161},3910.9500459521596,21777.090531466856,7173.8535943116367,30215.912444826885,64035.947109737099,24237.476967331633,{"$f":"SUM(P891:V891)","v":171339.99724063042},null,{"$f":"Y889*$AF885/$AF883","v":16548.925604239281},3237.9197185660641,18029.499230708763,5939.3144218676689,25016.095212167664,53016.083920139048,20066.480951869955,{"$f":"SUM(Y891:AE891)","v":141854.31905955845},null,{"$f":"AH889*$AO885/$AO883","v":9225.3630522246694},1805.0105276971653,10050.723535217654,3310.9298532955618,13945.47090248247,29554.342890103031,11186.259240547284,{"$f":"SUM(AH891:AN891)","v":79078.100001567829},null,{"$f":"AQ889*$AX885/$AX883","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ891:AW891)","v":36892.383966688518},null,{"$f":"AZ889*$BG885/$BG883","v":3595.9808060247415},1574.9027990513407,7935.0701419236475,2337.5469987719716,7808.73061720227,12437.045323685281,4356.0556886227096,{"$f":"SUM(AZ891:BF891)","v":40045.332375281971},null,{"$f":"BI889*$AX885/$AX883","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI891:BO891)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":892}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P893+Y893+AH893+AQ893+AZ893+BI893","v":84033.753837348428},18541.514680826695,107075.04287111943,34670.991008638142,133465.33259014235,269511.82370243606,105456.49129139728,{"$f":"SUM(G893:M893)","v":752754.94998190831},{"$f":"ROW()","v":893},{"$f":"P891*$I$99","v":24985.958183755203},4888.6875574401993,27221.363164333568,8967.3169928895459,37769.890556033606,80044.93388717137,30296.846209164542,{"$f":"SUM(P893:V893)","v":214174.99655078806},null,{"$f":"Y891*$J$99","v":20686.157005299101},4047.39964820758,22536.874038385955,7424.1430273345859,31270.119015209581,66270.104900173814,25083.101189837442,{"$f":"SUM(Y893:AE893)","v":177317.89882444806},null,{"$f":"AH891*$K$99","v":14760.580883559473},2888.0168443154648,16081.157656348247,5297.4877652728992,22312.753443971953,47286.948624164856,17898.014784875657,{"$f":"SUM(AH893:AN893)","v":126524.96000250855},null,{"$f":"AQ891*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR891*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS891*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT891*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU891*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV891*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW891*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ893:AW893)","v":41503.931962524584},null,{"$f":"AZ891*$M$99","v":10787.942418074224},4724.7083971540224,23805.210425770943,7012.6409963159149,23426.191851606811,37311.135971055846,13068.167065868129,{"$f":"SUM(AZ893:BF893)","v":120135.99712584588},null,{"$f":"BI891*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ891*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK891*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL891*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM891*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN891*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO891*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI893:BO893)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":894},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":895},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O897, \" figures are set equal to Row \",$O896, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 897 figures are set equal to Row 896 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O897, \" figures are set equal to Row \",$O896, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 897 figures are set equal to Row 896 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P896+Y896+AH896+AQ896+AZ896+BI896","v":250523.20742102468},29857.848110533032,204976.56716115391,72605.913761926364,265854.7041011409,457603.72843337519,226867.4122476482,{"$f":"SUM(G896:M896)","v":1508289.3812368023},{"$f":"ROW()","v":896},{"$f":"P849","v":8478.2791438023087},{"$f":"Q849","v":2165.106767500853},17970.128840934369,4759.9028112064498,17357.927381333473,33421.292677473823,11701.210445731589,{"$f":"SUM(P896:V896)","v":95853.848067982864},null,{"$f":"Y849","v":5961.4661059877126},{"$f":"Z849","v":1522.3856623942636},12635.620057847957,3346.9055212160547,12205.153191925661,23500.040531303042,8227.656613813042,{"$f":"SUM(Y896:AE896)","v":67399.227684487734},null,{"$f":"AH849","v":0},{"$f":"AI849","v":0},0,0,0,0,0,{"$f":"SUM(AH896:AN896)","v":0},null,{"$f":"AQ849","v":98921.343502801625},{"$f":"AR849","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ896:AW896)","v":553825.51435896545},null,{"$f":"AZ849","v":5073.2916883093012},{"$f":"BA849","v":1445.7796167042234},8823.2219192131506,2585.4090611320239,9527.6194803524377,17815.89350754027,6421.0861819094562,{"$f":"SUM(AZ896:BF896)","v":51692.301455160865},null,{"$f":"BI849","v":132088.82698012373},{"$f":"BJ849","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI896:BO896)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250523.81304220526,29858.574386948007,204956.77760094125,72605.006738589771,265855.65125717933,457621.44677043078,226874.0901922544,{"$f":"SUM(G897:M897)","v":1508295.3599885488},{"$f":"ROW()","v":897},{"$f":"P896*P876","v":8478.5974552710104},2165.4839127446885,17959.528289709193,4759.421429109062,17358.429556242532,33430.713220262769,11704.751158414425,{"$f":"SUM(P897:V897)","v":95856.925021753676},null,{"$f":"Y896*Y876","v":5961.6899253500651},1522.6508504766591,12628.166325107879,3346.5670394311396,12205.506294088122,23506.66454610413,8230.1462509542289,{"$f":"SUM(Y897:AE897)","v":67401.391231512229},null,{"$f":"AH896*AH876","v":0},0,0,0,0,0,0,{"$f":"SUM(AH897:AN897)","v":0},null,{"$f":"AQ896","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ897:AW897)","v":553825.51435896545},null,{"$f":"AZ896*AZ876","v":5073.3551786588368},1445.8635597929656,8821.486642965725,2585.3219016777407,9527.711359319359,17817.567287005822,6421.7337766916198,{"$f":"SUM(AZ897:BF897)","v":51693.03970611206},null,{"$f":"BI896","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI897:BO897)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,0.60562118058987835,0.72627641497319928,-19.789560212684592,-0.90702333658828138,0.94715603843360441,17.718337055586744,6.6779446061864292,{"$f":"W898+AF898+AO898+AX898+BG898+BP898","v":5.9787517464792472},{"$f":"ROW()","v":898},{"$f":"P897-P896","v":0.31831146870172233},0.37714524383545722,-10.600551225175877,-0.48138209738772275,0.50217490905924933,9.4205427889464772,3.5407126828358741,3.0769537708110875,null,{"$f":"Y897-Y896","v":0.22381936235251487},0.26518808239552527,-7.4537327400776121,-0.33848178491507497,0.35310216246034543,6.6240148010874691,2.489637141186904,2.1635470244946191,null,{"$f":"AH897-AH896","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ897-AQ896","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ897-AZ896","v":6.3490349535641144E-2},8.3943088742216787E-2,-1.7352762474256451,-8.7159454283209925E-2,9.187896692128561E-2,1.6737794655527978,0.64759478216365096,0.73825095119536854,null,{"$f":"BI897-BI896","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":899}]
[null,"Total Cordon VMT before eighth rebound effect",null,null,null,null,{"$f":"P900+Y900+AH900+AQ900+AZ900+BI900","v":407141.45598512318},102639.20930169596,424809.70525964745,150956.9070545655,545315.12863239041,967799.02735332306,423608.05518636433,3022269.4887731103,{"$f":"ROW()","v":900},{"$f":"P853","v":41756.029273427237},{"$f":"Q853","v":36561.771910542142},96809.552686064431,29865.064763067574,100528.87213410922,160367.55562469945,58293.677311508203,{"$f":"SUM(P900:V900)","v":524182.52370341826},null,{"$f":"Y853","v":47937.410329281003},{"$f":"Z853","v":10092.911000566473},46881.088377516753,19234.325366857694,76973.611599571639,159329.9605683246,61574.003112601713,{"$f":"SUM(Y900:AE900)","v":422023.31035471987},null,{"$f":"AH853","v":38914.241707197332},{"$f":"AI853","v":10883.499267431005},27305.998113749738,9492.3618796181072,40770.996512064099,83900.225118395436,41773.310470429205,{"$f":"SUM(AH900:AN900)","v":253040.6330688849},null,{"$f":"AQ853","v":101102.94289294499},{"$f":"AR853","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ900:AW900)","v":632517.43270702334},null,{"$f":"AZ853","v":27102.272950067541},{"$f":"BA853","v":15953.309243448644},51283.007030478468,16502.202991536804,55924.529274921835,91260.733949989852,33936.354728690087,{"$f":"SUM(AZ900:BF900)","v":291962.41016913322},null,{"$f":"BI853","v":150328.55883220508},{"$f":"BJ853","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI900:BO900)","v":898543.17876993015}]
[null,"Total Cordon VMT with eighth rebound effect",null,null,null,null,407145.35755351803,102638.39236633212,424801.28761580068,150960.42142411973,545332.18323982588,967819.72843791149,423622.30180600495,3022319.6724435133,{"$f":"ROW()","v":901},{"$f":"P886+P893+P897","v":41757.786759081973},36561.602569831601,96805.351386914263,29866.704934120378,100535.93283420283,160379.94866603683,58299.590973141887,{"$f":"SUM(P901:V901)","v":524206.91812332981},null,{"$f":"Y886+Y893+Y897","v":47938.819935618878},10093.188826082305,46875.523426798165,19235.110713055525,76978.449841998547,159337.27431309759,61578.821823757346,{"$f":"SUM(Y901:AE901)","v":422037.18888040842},null,{"$f":"AH886+AH893+AH897","v":38914.76275331738},10882.554709460892,27308.35741220729,9493.303153093977,40775.268400205248,83899.750118019467,41775.92345871283,{"$f":"SUM(AH901:AN901)","v":253049.92000501708},null,{"$f":"AQ900","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ901:AW901)","v":632517.43270702334},null,{"$f":"AZ886+AZ893+AZ897","v":27102.486380349692},15953.328381249647,51281.996338042882,16502.350570364521,55925.413051695614,91262.203248843827,33937.255987257675,{"$f":"SUM(AZ901:BF901)","v":291965.03395780385},null,{"$f":"BI900","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI901:BO901)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with eighth rebound effect",null,null,null,null,{"$f":"G901/G$135","v":67857.559592253005},102638.39236633212,141600.4292052669,150960.42142411973,136333.04580995647,161303.28807298525,141207.43393533499,null,{"$f":"ROW()","v":902}]
[null,"Factor Change",null,null,null,null,{"$f":"G901/G900","v":1.000009582832545},0.9999920407087175,0.99998018490692997,1.0000232806144669,1.0000312747740527,1.0000213898588481,1.0000336316070155,null,{"$f":"ROW()","v":903},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":904}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":905}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G902*$G$481/V_sub_k)^KSE)","v":20.661103259176244},16.427869898621594,9.8710618523858891,8.5031446386083207,10.701132445334352,7.1683139024310041,9.9315950242530793,null,{"$f":"ROW()","v":906},{"$f":"G906","v":20.661103259176244},16.427869898621594,9.8710618523858891,8.5031446386083207,10.701132445334352,7.1683139024310041,9.9315950242530793,null,null,{"$f":"G906","v":20.661103259176244},16.427869898621594,9.8710618523858891,8.5031446386083207,10.701132445334352,7.1683139024310041,9.9315950242530793,null,null,{"$f":"P906","v":20.661103259176244},16.427869898621594,9.8710618523858891,8.5031446386083207,10.701132445334352,7.1683139024310041,9.9315950242530793,null,null,{"$f":"G906*$AU$198","v":20.247881193992718},16.099312500649162,9.6736406153381704,8.3330817458361537,10.487109796427665,7.0249476243823841,9.7329631237680179,null,null,{"$f":"G906","v":20.661103259176244},16.427869898621594,9.8710618523858891,8.5031446386083207,10.701132445334352,7.1683139024310041,9.9315950242530793,null,null,{"$f":"Y906*$AU$198","v":20.247881193992718},{"$f":"Z906*$AU$198","v":16.099312500649162},{"$f":"AA906*$AU$198","v":9.6736406153381704},{"$f":"AB906*$AU$198","v":8.3330817458361537},{"$f":"AC906*$AU$198","v":10.487109796427665},{"$f":"AD906*$AU$198","v":7.0249476243823841},{"$f":"AE906*$AU$198","v":9.7329631237680179}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G859 / 'Speed-Vol., non-Cordon'!$Y$4)^G878,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H859 / 'Speed-Vol., non-Cordon'!$Y$4)^H878,'Speed-Vol., non-Cordon'!$Y$6)","v":37.32630953220454},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I859 / 'Speed-Vol., non-Cordon'!$Y$4)^I878,'Speed-Vol., non-Cordon'!$Y$6)","v":19.151881090899597},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J859 / 'Speed-Vol., non-Cordon'!$Y$4)^J878,'Speed-Vol., non-Cordon'!$Y$6)","v":21.455909653592599},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K859 / 'Speed-Vol., non-Cordon'!$Y$4)^K878,'Speed-Vol., non-Cordon'!$Y$6)","v":24.521252603474302},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L859 / 'Speed-Vol., non-Cordon'!$Y$4)^L878,'Speed-Vol., non-Cordon'!$Y$6)","v":16.509152455759729},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M859 / 'Speed-Vol., non-Cordon'!$Y$4)^M878,'Speed-Vol., non-Cordon'!$Y$6)","v":27.334953122196818},null,{"$f":"ROW()","v":907},55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G907*$AV$198","v":54.45},36.953046436882495,18.960362279990601,21.241350557056673,24.276040077439561,16.344060931202133,27.061603590974851,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y907*$AV$198","v":54.45},{"$f":"Z907*$AV$198","v":36.953046436882495},{"$f":"AA907*$AV$198","v":18.960362279990601},{"$f":"AB907*$AV$198","v":21.241350557056673},{"$f":"AC907*$AV$198","v":24.276040077439561},{"$f":"AD907*$AV$198","v":16.344060931202133},{"$f":"AE907*$AV$198","v":27.061603590974851},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":908}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":909}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":910},{"$f":"($I$99)*60/P906","v":3.6300094462133887},4.5654123427342821,7.5979667761753609,8.8202662882463887,7.0086040316882237,10.46271145778997,7.5516570920228885,{"$f":"SUMPRODUCT(P$562:V$562,P910:V910)/W$562","v":7.9216103566185518},null,{"$f":"($J$99)*60/Y906","v":3.6300094462133887},4.5654123427342821,7.5979667761753609,8.8202662882463887,7.0086040316882237,10.46271145778997,7.5516570920228885,{"$f":"SUMPRODUCT(Y$562:AE$562,Y910:AE910)/AF$562","v":8.1179922449829593},null,{"$f":"($K$99)*60/AH906","v":4.6464120911531381},5.8437277986998808,9.7253974735044615,11.289940848955379,8.9710131605609256,13.392270665971163,9.6661210777892972,{"$f":"SUMPRODUCT(AH$562:AN$562,AH910:AN910)/AO$562","v":9.9919979225501052},null,{"$f":"($L$99)*60/AQ906","v":4.4449095259755786},5.5903008278378961,9.3036327871535036,10.800326067240478,8.5819641204345594,12.811483417702004,9.2469270514565984,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ910:AW910)/AX$562","v":9.4592911828190971},null,{"$f":"($M$99)*60/AZ906","v":8.712022670912134},10.956989622562276,18.235120262820868,21.168639091791334,16.820649676051737,25.110507498695927,18.123977020854934,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ910:BF910)/BG$562","v":19.002444272734447},null,{"$f":"($L$99)*60/BI906","v":4.4449095259755786},5.5903008278378961,9.3036327871535036,10.800326067240478,8.5819641204345594,12.811483417702004,9.2469270514565984,{"$f":"SUMPRODUCT(BI$562:BO$562,BI910:BO910)/BP$562","v":9.4545805895769188}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":911},{"$f":"60*$I$99/(1/($P$152/$P906+$Q$152/$Q906+$R$152/$R906+$S$152/$S906+$T$152/$T906+$U$152/$U906+$V$152/$V906))","v":8.0771889855750487},8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,{"$f":"SUMPRODUCT(P$463:V$463,P911:V911)/W$463","v":8.0771889855750487},null,{"$f":"60*$J$99/(1/($Y$152/$Y906+$Z$152/$Z906+$AA$152/$AA906+$AB$152/$AB906+$AC$152/$AC906+$AD$152/$AD906+$AE$152/$AE906))","v":8.0771889855750487},8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,8.0771889855750487,{"$f":"SUMPRODUCT(Y$463:AE$463,Y911:AE911)/AF$463","v":8.0771889855750469},null,{"$f":"AH910","v":4.6464120911531381},5.8437277986998808,9.7253974735044615,11.289940848955379,8.9710131605609256,13.392270665971163,9.6661210777892972,{"$f":"SUMPRODUCT(AH$463:AN$463,AH911:AN911)/AO$463","v":9.8016726725199561},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ906+$BA$152/$BA906+$BB$152/$BB906+$BC$152/$BC906+$BD$152/$BD906+$BE$152/$BE906+$BF$152/$BF906))","v":19.112379816435855},19.112379816435855,19.112379816435855,19.112379816435855,19.112379816435855,19.112379816435855,19.112379816435855,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ911:BF911)/BG$463","v":19.112379816435851}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":912},{"$f":"($I$93)*60/P907","v":18.389355683366585},27.096559377576025,52.810194350347984,47.139206815955717,41.24644768113761,61.263869559354575,37.00077911470288,{"$f":"SUMPRODUCT(P$562:V$562,P912:V912)/W$562","v":46.758025075541887},null,{"$f":"($J$93)*60/Y907","v":18.389355683366585},27.096559377576025,52.810194350347984,47.139206815955717,41.24644768113761,61.263869559354575,37.00077911470288,{"$f":"SUMPRODUCT(Y$562:AE$562,Y912:AE912)/AF$562","v":46.962650309488062},null,{"$f":"($K$93)*60/AH907","v":27.584033525049882},40.644839066364035,79.215291525521977,70.708810223933583,61.869671521706422,91.895804339031869,55.50116867205432,{"$f":"SUMPRODUCT(AH$562:AN$562,AH912:AN912)/AO$562","v":67.384782755280852},null,{"$f":"($L$93)*60/AQ907","v":6.6115702479338836},9.7420925934996063,18.986978976657952,16.948074889729785,14.829436714209358,22.026349602792468,13.302981059114375,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ912:AW912)/AX$562","v":16.098285487430644},null,{"$f":"($M$93)*60/AZ907","v":16.961695569840352},24.992914328600691,48.710267775445956,43.479548124635897,38.044274141568202,56.507640767212777,34.128218628027625,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ912:BF912)/BG$562","v":42.926786214720629},null,{"$f":"($L$93)*60/BI907","v":6.6115702479338836},9.7420925934996063,18.986978976657952,16.948074889729785,14.829436714209358,22.026349602792468,13.302981059114375,{"$f":"SUMPRODUCT(BI$562:BO$562,BI912:BO912)/BP$562","v":15.988315545277482}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":913},{"$f":"60*$I$93/(1/($P$152/$P907+$Q$152/$Q907+$R$152/$R907+$S$152/$S907+$T$152/$T907+$U$152/$U907+$V$152/$V907))","v":46.854036435955607},46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,{"$f":"SUMPRODUCT(P$562:V$562,P913:V913)/W$562","v":46.854036435955607},null,{"$f":"60*$J$93/(1/($Y$152/$Y907+$Z$152/$Z907+$AA$152/$AA907+$AB$152/$AB907+$AC$152/$AC907+$AD$152/$AD907+$AE$152/$AE907))","v":46.854036435955607},46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,{"$f":"SUMPRODUCT(Y$562:AE$562,Y913:AE913)/AF$562","v":46.854036435955607},null,{"$f":"AH912","v":27.584033525049882},40.644839066364035,79.215291525521977,70.708810223933583,61.869671521706422,91.895804339031869,55.50116867205432,{"$f":"SUMPRODUCT(AH$562:AN$562,AH913:AN913)/AO$562","v":67.384782755280852},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ907+$BA$152/$BA907+$BB$152/$BB907+$BC$152/$BC907+$BD$152/$BD907+$BE$152/$BE907+$BF$152/$BF907))","v":43.376846104549173},43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ913:BF913)/BG$562","v":43.376846104549173}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":914},{"$f":"SUM(P910:P913)","v":76.950590551110622},86.59319714184096,115.33938654805399,110.89069852573276,103.18627713435649,126.65780643867521,99.483661628256428,109.61086085369109,null,{"$f":"SUM(Y910:Y913)","v":76.950590551110622},86.59319714184096,115.33938654805399,110.89069852573276,103.18627713435649,126.65780643867521,99.483661628256428,110.01186797600167,null,{"$f":"SUM(AH910:AH913)","v":64.460891232406041},92.977133730127832,177.88137799805287,163.9975021457779,141.6813693645347,210.57615001000607,130.33457949968724,154.56323610563174,null,{"$f":"AQ910+AQ912","v":11.056479773909462},15.332393421337503,28.290611763811455,27.748400956970265,23.411400834643917,34.837833020494472,22.549908110570975,25.557576670249741,null,{"$f":"SUM(AZ910:AZ913)","v":88.162944161737514},98.439129872147987,129.43461395925186,127.13741313741227,117.35414973860497,144.10737418689374,114.74142156986758,124.41845640844011,null,{"$f":"BI910+BI912","v":11.056479773909462},15.332393421337503,28.290611763811455,27.748400956970265,23.411400834643917,34.837833020494472,22.549908110570975,25.442896134854401]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":915}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":916},{"$f":"P914/P866","v":1.0000483446661226},0.99999509881224313,1.0001287080265227,1.0001520227239729,1.0001464672894276,1.0000091392031056,1.000093022353395,1.0000758306342115,null,{"$f":"Y914/Y866","v":1.0000483446661226},0.99999509881224313,1.0001287080265227,1.0001520227239729,1.0001464672894276,1.0000091392031056,1.000093022353395,1.0000671439952646,null,{"$f":"AH914/AH866","v":1.0000003362942567},0.99986674257253616,1.0001885947425659,1.0002391450768087,1.0002400396150413,0.99996235511413822,1.0001256949340895,1.0000666232243551,null,{"$f":"AQ914/AQ866","v":1.0000009378088932},0.99990094904431059,1.0001313333916497,1.0001860440887185,1.0001917389862551,0.99998862585343817,1.0001097445744542,1.0000701806312813,null,{"$f":"AZ914/AZ866","v":1.0000559156882955},1.0000105637176793,1.0001134752413319,1.0001398450348906,1.0001371174451525,1.0000239071829531,1.0000945178401135,1.0000765975071477,null,{"$f":"BI914/BI866","v":1.0000009378088932},0.99990094904431059,1.0001313333916497,1.0001860440887185,1.0001917389862551,0.99998862585343817,1.0001097445744542,1.000068306928972]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":917}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":918}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$906,G$858,G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":20.656320913724873},16.409971490078799,9.9070801677798812,8.5089318634085132,10.69981756533222,7.1561366893635414,9.9135910183439773,null,{"$f":"ROW()","v":919},{"$f":"G919","v":20.656320913724873},16.409971490078799,9.9070801677798812,8.5089318634085132,10.69981756533222,7.1561366893635414,9.9135910183439773,null,null,{"$f":"G919","v":20.656320913724873},16.409971490078799,9.9070801677798812,8.5089318634085132,10.69981756533222,7.1561366893635414,9.9135910183439773,null,null,{"$f":"P919","v":20.656320913724873},16.409971490078799,9.9070801677798812,8.5089318634085132,10.69981756533222,7.1561366893635414,9.9135910183439773,null,null,{"$f":"G919*$AU$198","v":20.243194495450375},16.081772060277224,9.7089385644242832,8.3387532261403425,10.485821214025576,7.0130139555762705,9.715319197977097,null,null,{"$f":"G919","v":20.656320913724873},16.409971490078799,9.9070801677798812,8.5089318634085132,10.69981756533222,7.1561366893635414,9.9135910183439773,null,null,{"$f":"Y919*$AU$198","v":20.243194495450375},{"$f":"Z919*$AU$198","v":16.081772060277224},{"$f":"AA919*$AU$198","v":9.7089385644242832},{"$f":"AB919*$AU$198","v":8.3387532261403425},{"$f":"AC919*$AU$198","v":10.485821214025576},{"$f":"AD919*$AU$198","v":7.0130139555762705},{"$f":"AE919*$AU$198","v":9.715319197977097}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$907,G$859,G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":55},37.350040554704641,19.148504756533558,21.449613051346745,24.511327433824917,16.509600658548013,27.327653618298061,null,{"$f":"ROW()","v":920},55,37.350040554704641,19.148504756533558,21.449613051346745,24.511327433824917,16.509600658548013,27.327653618298061,null,null,55,37.350040554704641,19.148504756533558,21.449613051346745,24.511327433824917,16.509600658548013,27.327653618298061,null,null,55,37.350040554704641,19.148504756533558,21.449613051346745,24.511327433824917,16.509600658548013,27.327653618298061,null,null,{"$f":"G920*$AV$198","v":54.45},36.976540149157593,18.957019708968222,21.235116920833278,24.266214159486669,16.344504651962534,27.054377082115082,null,null,55,37.350040554704641,19.148504756533558,21.449613051346745,24.511327433824917,16.509600658548013,27.327653618298061,null,null,{"$f":"Y920*$AV$198","v":54.45},{"$f":"Z920*$AV$198","v":36.976540149157593},{"$f":"AA920*$AV$198","v":18.957019708968222},{"$f":"AB920*$AV$198","v":21.235116920833278},{"$f":"AC920*$AV$198","v":24.266214159486669},{"$f":"AD920*$AV$198","v":16.344504651962534},{"$f":"AE920*$AV$198","v":27.054377082115082}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":921}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":922},{"$f":"P916^Elasticities!$G$67","v":0.99995165767097116},{"$f":"Q916^Elasticities!$G$67","v":1.0000049012117787},{"$f":"R916^Elasticities!$G$67","v":0.9998713085371016},{"$f":"S916^Elasticities!$G$67","v":0.99984800038342292},{"$f":"T916^Elasticities!$G$67","v":0.99985355416009769},{"$f":"U916^Elasticities!$G$67","v":0.99999086088041866},{"$f":"V916^Elasticities!$G$67","v":0.99990698629895836},null,null,{"$f":"Y916^Elasticities!$H$67","v":0.99995165767097116},{"$f":"Z916^Elasticities!$H$67","v":1.0000049012117787},{"$f":"AA916^Elasticities!$H$67","v":0.9998713085371016},{"$f":"AB916^Elasticities!$H$67","v":0.99984800038342292},{"$f":"AC916^Elasticities!$H$67","v":0.99985355416009769},{"$f":"AD916^Elasticities!$H$67","v":0.99999086088041866},{"$f":"AE916^Elasticities!$H$67","v":0.99990698629895836},null,null,{"$f":"AH916^Elasticities!$I$67","v":0.99999966370585647},{"$f":"AI916^Elasticities!$I$67","v":1.0001332751873724},{"$f":"AJ916^Elasticities!$I$67","v":0.99981144081870432},{"$f":"AK916^Elasticities!$I$67","v":0.9997609120998856},{"$f":"AL916^Elasticities!$I$67","v":0.99976001799014802},{"$f":"AM916^Elasticities!$I$67","v":1.0000376463030525},{"$f":"AN916^Elasticities!$I$67","v":0.99987432086314132},null,null,{"$f":"AQ916^Elasticities!$G$69","v":0.99999943731508623},{"$f":"AR916^Elasticities!$G$69","v":1.000059435283142},{"$f":"AS916^Elasticities!$G$69","v":0.99992120824332864},{"$f":"AT916^Elasticities!$G$69","v":0.99988839015804409},{"$f":"AU916^Elasticities!$G$69","v":0.99988497425195766},{"$f":"AV916^Elasticities!$G$69","v":1.0000068245500358},{"$f":"AW916^Elasticities!$G$69","v":0.99993415903583605},null,null,{"$f":"AZ916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99998136213199662},{"$f":"BA916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999647878557152},{"$f":"BB916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996217778077678},{"$f":"BC916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995338933381583},{"$f":"BD916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995429836254657},{"$f":"BE916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999203106602519},{"$f":"BF916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996849603839888},null,null,{"$f":"BI916^Elasticities!$G$69","v":0.99999943731508623},{"$f":"BJ916^Elasticities!$G$69","v":1.000059435283142},{"$f":"BK916^Elasticities!$G$69","v":0.99992120824332864},{"$f":"BL916^Elasticities!$G$69","v":0.99988839015804409},{"$f":"BM916^Elasticities!$G$69","v":0.99988497425195766},{"$f":"BN916^Elasticities!$G$69","v":1.0000068245500358},{"$f":"BO916^Elasticities!$G$69","v":0.99993415903583605}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":923},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":924},{"$f":"(P871/P919)^Elasticities!$G$67","v":1.0000289408014396},{"$f":"(Q871/Q919)^Elasticities!$G$67","v":1.0001363564915227},{"$f":"(R871/R919)^Elasticities!$G$67","v":0.99954575473253737},{"$f":"(S871/S919)^Elasticities!$G$67","v":0.9999149903166028},{"$f":"(T871/T919)^Elasticities!$G$67","v":1.0000153612455573},{"$f":"(U871/U919)^Elasticities!$G$67","v":1.0002127510329741},{"$f":"(V871/V919)^Elasticities!$G$67","v":1.0002270632044816},null,null,{"$f":"(Y871/Y919)^Elasticities!$H$67","v":1.0000289408014396},{"$f":"(Z871/Z919)^Elasticities!$H$67","v":1.0001363564915227},{"$f":"(AA871/AA919)^Elasticities!$H$67","v":0.99954575473253737},{"$f":"(AB871/AB919)^Elasticities!$H$67","v":0.9999149903166028},{"$f":"(AC871/AC919)^Elasticities!$H$67","v":1.0000153612455573},{"$f":"(AD871/AD919)^Elasticities!$H$67","v":1.0002127510329741},{"$f":"(AE871/AE919)^Elasticities!$H$67","v":1.0002270632044816},null,null,{"$f":"(AH871/AH919)^Elasticities!$I$67","v":1.0000289408014396},{"$f":"(AI871/AI919)^Elasticities!$I$67","v":1.0001363564915227},{"$f":"(AJ871/AJ919)^Elasticities!$I$67","v":0.99954575473253737},{"$f":"(AK871/AK919)^Elasticities!$I$67","v":0.9999149903166028},{"$f":"(AL871/AL919)^Elasticities!$I$67","v":1.0000153612455573},{"$f":"(AM871/AM919)^Elasticities!$I$67","v":1.0002127510329741},{"$f":"(AN871/AN919)^Elasticities!$I$67","v":1.0002270632044816},null,null,{"$f":"(AQ871/AQ919)^Elasticities!$G$69","v":1.0000173643803567},{"$f":"(AR871/AR919)^Elasticities!$G$69","v":1.0000818116638845},{"$f":"(AS871/AS919)^Elasticities!$G$69","v":0.99972742807362069},{"$f":"(AT871/AT919)^Elasticities!$G$69","v":0.99994899332272968},{"$f":"(AU871/AU919)^Elasticities!$G$69","v":1.0000092167190184},{"$f":"(AV871/AV919)^Elasticities!$G$69","v":1.0001276451887635},{"$f":"(AW871/AW919)^Elasticities!$G$69","v":1.0001362317364206},null,null,{"$f":"(AZ871/AZ919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000096468407513},{"$f":"(BA871/BA919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000454500980982},{"$f":"(BB871/BB919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99984856197852912},{"$f":"(BC871/BC919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99997166263586901},{"$f":"(BD871/BD919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000051203889673},{"$f":"(BE871/BE919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000709119823632},{"$f":"(BF871/BF919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000756820069165},null,null,{"$f":"(BI871/BI919)^Elasticities!$G$69","v":1.0000173643803567},{"$f":"(BJ871/BJ919)^Elasticities!$G$69","v":1.0000818116638845},{"$f":"(BK871/BK919)^Elasticities!$G$69","v":0.99972742807362069},{"$f":"(BL871/BL919)^Elasticities!$G$69","v":0.99994899332272968},{"$f":"(BM871/BM919)^Elasticities!$G$69","v":1.0000092167190184},{"$f":"(BN871/BN919)^Elasticities!$G$69","v":1.0001276451887635},{"$f":"(BO871/BO919)^Elasticities!$G$69","v":1.0001362317364206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":925},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P926+$J$85*$J$93*Y926+$K$85*$K$93*AH926+$L$85*$L$93*AQ926+$M$85*$M$93*AZ926+$N$85*$N$93*BI926)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1},1.0000485025713131,0.99989319800905418,0.99987190522904079,0.99987896780233609,1.0000261016718766,0.99994169706929636,null,{"$f":"ROW()","v":926},{"$f":"(P872/P920)^Elasticities!$G$67","v":1},{"$f":"(Q872/Q920)^Elasticities!$G$67","v":0.99992058530072636},{"$f":"(R872/R920)^Elasticities!$G$67","v":1.0000220409427953},{"$f":"(S872/S920)^Elasticities!$G$67","v":1.0000366954947375},{"$f":"(T872/T920)^Elasticities!$G$67","v":1.0000506177810353},{"$f":"(U872/U920)^Elasticities!$G$67","v":0.9999966065103828},{"$f":"(V872/V920)^Elasticities!$G$67","v":1.0000333899304468},null,null,{"$f":"(Y859/Y907)^Elasticities!$H$67","v":1},{"$f":"(Z859/Z907)^Elasticities!$H$67","v":1.0001512774991308},{"$f":"(AA859/AA907)^Elasticities!$H$67","v":0.99978292600576002},{"$f":"(AB859/AB907)^Elasticities!$H$67","v":0.99973185870068659},{"$f":"(AC859/AC907)^Elasticities!$H$67","v":0.99973453622955066},{"$f":"(AD859/AD907)^Elasticities!$H$67","v":1.0000515382651061},{"$f":"(AE859/AE907)^Elasticities!$H$67","v":0.9998652838390758},null,null,{"$f":"(AH859/AH907)^Elasticities!$I$67","v":1},{"$f":"(AI859/AI907)^Elasticities!$I$67","v":1.0001512774991308},{"$f":"(AJ859/AJ907)^Elasticities!$I$67","v":0.99978292600576002},{"$f":"(AK859/AK907)^Elasticities!$I$67","v":0.99973185870068659},{"$f":"(AL859/AL907)^Elasticities!$I$67","v":0.99973453622955066},{"$f":"(AM859/AM907)^Elasticities!$I$67","v":1.0000515382651061},{"$f":"(AN859/AN907)^Elasticities!$I$67","v":0.9998652838390758},null,null,{"$f":"(AQ872/AQ920)^Elasticities!$G$69","v":1},{"$f":"(AR872/AR920)^Elasticities!$G$69","v":0.9999523504236042},{"$f":"(AS872/AS920)^Elasticities!$G$69","v":1.0000132245073814},{"$f":"(AT872/AT920)^Elasticities!$G$69","v":1.0000220171352581},{"$f":"(AU872/AU920)^Elasticities!$G$69","v":1.0000303703611693},{"$f":"(AV872/AV920)^Elasticities!$G$69","v":0.99999796390484785},{"$f":"(AW872/AW920)^Elasticities!$G$69","v":1.0000200338244838},null,null,{"$f":"(AZ859/AZ907)^(Elasticities!$J$89*Elasticities!$G$67)","v":1},{"$f":"(BA859/BA907)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000504232904928},{"$f":"(BB859/BB907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99992763676560859},{"$f":"(BC859/BC907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99991061157684347},{"$f":"(BD859/BD907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99991150424524922},{"$f":"(BE859/BE907)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000171791265779},{"$f":"(BF859/BF907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995509259638049},null,null,{"$f":"(BI872/BI920)^Elasticities!$G$69","v":1},{"$f":"(BJ872/BJ920)^Elasticities!$G$69","v":0.9999523504236042},{"$f":"(BK872/BK920)^Elasticities!$G$69","v":1.0000132245073814},{"$f":"(BL872/BL920)^Elasticities!$G$69","v":1.0000220171352581},{"$f":"(BM872/BM920)^Elasticities!$G$69","v":1.0000303703611693},{"$f":"(BN872/BN920)^Elasticities!$G$69","v":0.99999796390484785},{"$f":"(BO872/BO920)^Elasticities!$G$69","v":1.0000200338244838}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":927},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 10 • (Rebound Effect 9)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":928},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":929},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":930}]
[null,"Period entries with eighth rebound effect but before ninth",null,null,null,null,{"$f":"P931+Y931+AH931+AQ931+AZ931+BI931","v":53900.225760189445},37253.251389860976,79397.109633037457,29913.476214307888,98934.70513011131,162409.30191080904,72377.320841671768,{"$f":"SUM(G931:M931)","v":534185.39087998786},{"$f":"ROW()","v":931},{"$f":"P885","v":6634.5848960446092},23605.944879717368,41299.567946297197,12911.973209697417,36326.090177541351,37523.441246882168,13038.394884450339,{"$f":"SUM(P931:V931)","v":171339.99724063044},null,{"$f":"Y885","v":17032.778403975772},3618.5106619184526,9368.3864506434675,6771.5205170318404,26802.25962616067,55648.403893455717,22612.459506372536,{"$f":"SUM(Y931:AE931)","v":141854.31905955845},null,{"$f":"AH885","v":15096.363668598693},4996.5861657158912,7016.9998474119011,2622.3846173881734,11539.07184764581,22883.000933659132,14923.692921148231,{"$f":"SUM(AH931:AN931)","v":79078.100001567829},null,{"$f":"AQ885","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ931:AW931)","v":36892.383966688518},null,{"$f":"AZ885","v":3747.0629278722113},3260.9188081008861,6218.4330897687387,2301.462557456955,7657.1699469231489,12044.499996927387,4815.7850482326421,{"$f":"SUM(AZ931:BF931)","v":40045.332375281963},null,{"$f":"BI885","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI931:BO931)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O885,\".\")","v":"Above row repeats figures in Row 885."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":932},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O933, \" figures are set equal to Row \",$O931, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 933 figures are set equal to Row 931 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O933, \" figures are set equal to Row \",$O931, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 933 figures are set equal to Row 931 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P933+Y933+AH933+AQ933+AZ933+BI933","v":53899.006710642614},37254.039261246253,79389.03078517814,29909.750077674067,98922.341131043999,162409.21588073735,72371.977510607278,{"$f":"SUM(G933:M933)","v":534155.36135712964},{"$f":"ROW()","v":933},{"$f":"P931*P922","v":6634.2641647585951},23606.060577452459,41294.253044481113,12910.010594720288,36320.770372754938,37523.098315665513,13037.182135086494,{"$f":"SUM(P933:V933)","v":171325.6392049194},null,{"$f":"Y931*Y922","v":17031.95499979789},3618.5283970055298,9367.1808192861372,6770.4912485096074,26798.334546738439,55647.895316038026,22610.356237824195,{"$f":"SUM(Y933:AE933)","v":141844.74156519983},null,{"$f":"AH931*AH922","v":15096.358591780003},4997.2520866733494,7015.676727665521,2621.7576369567096,11536.302677991986,22883.862394047032,14921.817324303158,{"$f":"SUM(AH933:AN933)","v":79073.027439417754},null,{"$f":"AQ931","v":2970.2068778820894},{"$f":"AR931","v":1180.6770913510961},7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ933:AW933)","v":36892.383966688518},null,{"$f":"AZ931*AZ922","v":3746.9930906079612},3260.9073257065288,6218.1978948291926,2301.355284753954,7656.8200017183153,12044.404015102151,4815.6333319254036,{"$f":"SUM(AZ933:BF933)","v":40044.310944643512},null,{"$f":"BI931","v":8419.2289858160748},{"$f":"BJ931","v":590.6137830572826},7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI933:BO933)","v":64975.25823626067}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,82062.080769914741,54465.997845482008,116447.05222683573,43658.708346530235,145242.59573706935,240676.06767523807,108361.71340300165,{"$f":"SUM(G934:M934)","v":790914.21600407176},{"$f":"ROW()","v":934},{"$f":"P933*$I$99","v":8292.8302059482448},29507.575721815574,51617.816305601387,16137.513243400361,45400.962965943676,46903.872894581888,16296.477668858117,{"$f":"SUM(P934:V934)","v":214157.0490061492},null,{"$f":"Y933*$J$99","v":21289.943749747363},4523.1604962569127,11708.976024107671,8463.11406063701,33497.918183423048,69559.869145047531,28262.945297280243,{"$f":"SUM(Y934:AE934)","v":177305.92695649978},null,{"$f":"AH933*$K$99","v":24154.173746848006},7995.6033386773597,11225.082764264835,4194.8122191307357,18458.084284787179,36614.179830475252,23874.907718885053,{"$f":"SUM(AH934:AN934)","v":126516.84390306842},null,{"$f":"AQ933*$L$99","v":4455.3103168231337},{"$f":"AR933*$L$99","v":1771.0156370266441},11927.901883744024,3249.4194250761811,10679.101227412815,17467.323593012919,5788.503866937056,{"$f":"SUM(AQ934:AW934)","v":55338.575950032769},null,{"$f":"AZ933*$M$99","v":11240.979271823884},9782.7219771195869,18654.593684487576,6904.0658542618621,22970.460005154946,36133.212045306456,14446.89999577621,{"$f":"SUM(AZ934:BF934)","v":120132.93283393052},null,{"$f":"BI933*$L$99","v":12628.843478724113},{"$f":"BJ933*$L$99","v":885.92067458592396},11312.68156463026,4709.7835440240815,14236.06907034769,33997.610166813975,19691.97885526497,{"$f":"SUM(BI934:BO934)","v":97462.887354391016}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W935*W933+AF935*AF933+AO935*AO933+BG935*BG933+BP935*BP933)/(W933+AF933+AO933+BG933+BP933)","v":6.0649053114544254},{"$f":"ROW()","v":935},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P933:V933,P$339:V$339)/W933","v":6.6225938145076597},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y933:AE933,Y$339:AE$339)/AF933","v":6.1602252195943255},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH933:AN933,AH$339:AN$339)/AO933","v":4.9030504267775745},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ933:BF933,AZ$339:BF$339)/BG933","v":15.476309730147614}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":936}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P937+Y937+AH937+AQ937+AZ937+BI937","v":60748.471873191011},12300.073965675107,73286.105738233106,24067.780180980346,93596.322708519627,193353.37508354904,76833.261329839588,{"$f":"SUM(G937:M937)","v":534185.39087998786},{"$f":"ROW()","v":937},{"$f":"P$152*$W931","v":19988.766547004161},3910.9500459521591,21777.090531466856,7173.8535943116367,30215.912444826889,64035.947109737099,24237.476967331633,171339.99724063042,null,{"$f":"Y$152*$AF931","v":16548.925604239281},3237.9197185660641,18029.499230708767,5939.3144218676689,25016.095212167664,53016.083920139048,20066.480951869951,{"$f":"SUM(Y937:AE937)","v":141854.31905955845},null,{"$f":"AH$152*$AO931","v":9225.3630522246694},1805.0105276971651,10050.723535217654,3310.9298532955618,13945.47090248247,29554.342890103035,11186.259240547284,{"$f":"SUM(AH937:AN937)","v":79078.100001567829},null,{"$f":"AQ931","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ937:AW937)","v":36892.383966688518},null,{"$f":"AZ$152*$BG931","v":3595.9808060247415},1574.9027990513407,7935.0701419236475,2337.5469987719721,7808.73061720227,12437.045323685283,4356.0556886227087,{"$f":"SUM(AZ937:BF937)","v":40045.332375281963},null,{"$f":"BI931","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI937:BO937)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":938}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,60744.9960259277,12299.371665743429,73282.216448772466,24066.506014426941,93591.007937671689,193342.21648152839,76829.046783059064,{"$f":"SUM(G939:M939)","v":534155.36135712964},{"$f":"ROW()","v":939},{"$f":"P937*$W933/$W931","v":19987.091518239577},3910.6223141829969,21775.265643824921,7173.2524361013429,30213.380396519944,64030.58099306732,24235.44590298328,{"$f":"SUM(P939:V939)","v":171325.63920491937},null,{"$f":"Y937*$AF933/$AF931","v":16547.808280193978},3237.7011058509643,18028.28194364754,5938.9134206803483,25014.406215228002,53012.504464483223,20065.126135115777,{"$f":"SUM(Y939:AE939)","v":141844.74156519983},null,{"$f":"AH937*$AO933/$AO931","v":9224.7712799458895},1804.8947430730645,10050.078819173837,3310.7174696210041,13944.576353070388,29552.447090366928,11185.54168416665,{"$f":"SUM(AH939:AN939)","v":79073.027439417754},null,{"$f":"AQ937*$AX933/$AX931","v":2970.2068778820894},1180.6770913510961,7951.9345891626808,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ939:AW939)","v":36892.383966688518},null,{"$f":"AZ937*$BG933/$BG931","v":3595.8890838500788},1574.8626282280234,7934.8677432099785,2337.4873752907383,7808.5314410130186,12436.728093726335,4355.944579325339,{"$f":"SUM(AZ939:BF939)","v":40044.310944643512},null,{"$f":"BI937*$AX933/$AX931","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI939:BO939)","v":64975.25823626067}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":940}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P941+Y941+AH941+AQ941+AZ941+BI941","v":84029.041394166037},18540.525982352854,107069.60141092938,34669.21962506813,133458.027475957,269496.65676757443,105450.777521918,{"$f":"SUM(G941:M941)","v":752713.85017796583},{"$f":"ROW()","v":941},{"$f":"P939*$I$99","v":24983.864397799472},4888.2778927287463,27219.082054781153,8966.5655451266794,37766.725495649931,80038.226241334152,30294.3073787291,{"$f":"SUM(P941:V941)","v":214157.04900614923},null,{"$f":"Y939*$J$99","v":20684.760350242472},4047.1263823137051,22535.352429559425,7423.6417758504358,31268.007769035001,66265.630580604033,25081.407668894721,{"$f":"SUM(Y941:AE941)","v":177305.92695649978},null,{"$f":"AH939*$K$99","v":14759.634047913423},2887.8315889169035,16080.12611067814,5297.1479513936065,22311.322164912621,47283.915344587091,17896.866694666642,{"$f":"SUM(AH941:AN941)","v":126516.84390306842},null,{"$f":"AQ939*$L$99*Taxis!$L$228","v":3341.4827376173503},{"$f":"AR939*$L$99*Taxis!$L$228","v":1328.2617277699831},{"$f":"AS939*$L$99*Taxis!$L$228","v":8945.9264128080158},{"$f":"AT939*$L$99*Taxis!$L$228","v":2437.0645688071359},{"$f":"AU939*$L$99*Taxis!$L$228","v":8009.3259205596114},{"$f":"AV939*$L$99*Taxis!$L$228","v":13100.49269475969},{"$f":"AW939*$L$99*Taxis!$L$228","v":4341.3779002027923},{"$f":"SUM(AQ941:AW941)","v":41503.931962524584},null,{"$f":"AZ939*$M$99","v":10787.667251550236},4724.5878846840696,23804.603229629935,7012.4621258722145,23425.594323039055,37310.184281179005,13067.833737976016,{"$f":"SUM(AZ941:BF941)","v":120132.93283393052},null,{"$f":"BI939*$L$99*Taxis!$L$228","v":9471.6326090430848},{"$f":"BJ939*$L$99*Taxis!$L$228","v":664.44050593944303},{"$f":"BK939*$L$99*Taxis!$L$228","v":8484.5111734726961},{"$f":"BL939*$L$99*Taxis!$L$228","v":3532.3376580180611},{"$f":"BM939*$L$99*Taxis!$L$228","v":10677.051802760769},{"$f":"BN939*$L$99*Taxis!$L$228","v":25498.207625110481},{"$f":"BO939*$L$99*Taxis!$L$228","v":14768.984141448727},{"$f":"SUM(BI941:BO941)","v":73097.165515793269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":942},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"UberLyft outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":943},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O945, \" figures are set equal to Row \",$O944, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 945 figures are set equal to Row 944 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O945, \" figures are set equal to Row \",$O944, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 945 figures are set equal to Row 944 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P944+Y944+AH944+AQ944+AZ944+BI944","v":250523.81304220526},29858.574386948007,204956.77760094125,72605.006738589771,265855.65125717933,457621.44677043078,226874.0901922544,{"$f":"SUM(G944:M944)","v":1508295.3599885488},{"$f":"ROW()","v":944},{"$f":"P897","v":8478.5974552710104},{"$f":"Q897","v":2165.4839127446885},17959.528289709193,4759.421429109062,17358.429556242532,33430.713220262769,11704.751158414425,{"$f":"SUM(P944:V944)","v":95856.925021753676},null,{"$f":"Y897","v":5961.6899253500651},{"$f":"Z897","v":1522.6508504766591},12628.166325107879,3346.5670394311396,12205.506294088122,23506.66454610413,8230.1462509542289,{"$f":"SUM(Y944:AE944)","v":67401.391231512229},null,{"$f":"AH897","v":0},{"$f":"AI897","v":0},0,0,0,0,0,{"$f":"SUM(AH944:AN944)","v":0},null,{"$f":"AQ897","v":98921.343502801625},{"$f":"AR897","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ944:AW944)","v":553825.51435896545},null,{"$f":"AZ897","v":5073.3551786588368},{"$f":"BA897","v":1445.8635597929656},8821.486642965725,2585.3219016777407,9527.711359319359,17817.567287005822,6421.7337766916198,{"$f":"SUM(AZ944:BF944)","v":51693.03970611206},null,{"$f":"BI897","v":132088.82698012373},{"$f":"BJ897","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI944:BO944)","v":739518.48967020516}]
[null,"After rebound effect",null,null,null,null,250524.27989754456,29859.143002705212,204941.54737693624,72604.244389868312,265856.15418164572,457634.82373538264,226879.10268364125,{"$f":"SUM(G945:M945)","v":1508299.295267724},{"$f":"ROW()","v":945},{"$f":"P944*P924","v":8478.8428326764497},2165.7791905334793,17951.370258977731,4759.0168322002201,17358.696203341435,33437.825639033443,11707.408876720114,{"$f":"SUM(P945:V945)","v":95858.939833482873},null,{"$f":"Y944*Y924","v":5961.862461434439},1522.8584738044442,12622.430040317968,3346.2825488266499,12205.693785867457,23511.665613268091,8232.0150143353221,{"$f":"SUM(Y945:AE945)","v":67402.807937854377},null,{"$f":"AH944*AH924","v":0},0,0,0,0,0,0,{"$f":"SUM(AH945:AN945)","v":0},null,{"$f":"AQ944","v":98921.343502801625},10587.361918605688,70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ945:AW945)","v":553825.51435896545},null,{"$f":"AZ944*AZ924","v":5073.4041205083204},1445.9292744335949,8820.150734482082,2585.2486404696169,9527.7601449074864,17818.830766023035,6422.2197863917236,{"$f":"SUM(AZ945:BF945)","v":51693.543467215859},null,{"$f":"BI944","v":132088.82698012373},14137.214145328004,94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI945:BO945)","v":739518.48967020516}]
[null,"Difference",null,null,null,null,0.46685533929667145,0.56861575720517976,-15.230224005001219,-0.76234872145369081,0.50292446637104149,13.376964951850823,5.012491386885813,{"$f":"W946+AF946+AO946+AX946+BG946+BP946","v":3.9352791751807672},{"$f":"ROW()","v":946},{"$f":"P945-P944","v":0.24537740543928521},0.29527778879082689,-8.1580307314616221,-0.40459690884199517,0.26664709890246741,7.1124187706736848,2.6577183056888316,2.0148117291973904,null,{"$f":"Y945-Y944","v":0.17253608437385992},0.20762332778508608,-5.7362847899112239,-0.28449060448974706,0.18749177933568717,5.0010671639611246,1.8687633810932311,1.4167063421482453,null,{"$f":"AH945-AH944","v":0},0,0,0,0,0,0,0,null,{"$f":"AQ945-AQ944","v":0},0,0,0,0,0,0,0,null,{"$f":"AZ945-AZ944","v":4.8941849483526312E-2},6.5714640629266796E-2,-1.3359084836429247,-7.3261208123767574E-2,4.8785588127429946E-2,1.2634790172123758,0.48600970010375022,0.50376110379875172,null,{"$f":"BI945-BI944","v":0},0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":947}]
[null,"Total Cordon VMT before ninth rebound effect",null,null,null,null,{"$f":"P948+Y948+AH948+AQ948+AZ948+BI948","v":407145.35755351803},102638.39236633212,424801.28761580068,150960.42142411973,545332.18323982588,967819.72843791149,423622.30180600495,3022319.6724435133,{"$f":"ROW()","v":948},{"$f":"P901","v":41757.786759081973},{"$f":"Q901","v":36561.602569831601},96805.351386914263,29866.704934120378,100535.93283420283,160379.94866603683,58299.590973141887,{"$f":"SUM(P948:V948)","v":524206.91812332981},null,{"$f":"Y901","v":47938.819935618878},{"$f":"Z901","v":10093.188826082305},46875.523426798165,19235.110713055525,76978.449841998547,159337.27431309759,61578.821823757346,{"$f":"SUM(Y948:AE948)","v":422037.18888040842},null,{"$f":"AH901","v":38914.76275331738},{"$f":"AI901","v":10882.554709460892},27308.35741220729,9493.303153093977,40775.268400205248,83899.750118019467,41775.92345871283,{"$f":"SUM(AH948:AN948)","v":253049.92000501708},null,{"$f":"AQ901","v":101102.94289294499},{"$f":"AR901","v":13600.755179267375},89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ948:AW948)","v":632517.43270702334},null,{"$f":"AZ901","v":27102.486380349692},{"$f":"BA901","v":15953.328381249647},51281.996338042882,16502.350570364521,55925.413051695614,91262.203248843827,33937.255987257675,{"$f":"SUM(AZ948:BF948)","v":291965.03395780385},null,{"$f":"BI901","v":150328.55883220508},{"$f":"BJ901","v":15546.962700440308},113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI948:BO948)","v":898543.17876993015}]
[null,"Total Cordon VMT with ninth rebound effect",null,null,null,null,407139.46416164236,102639.17010099208,424769.64268872602,150952.82285065472,545308.34443778545,967817.9644733537,423613.99940164841,3022241.408114803,{"$f":"ROW()","v":949},{"$f":"P934+P941+P945","v":41755.537436424165},36561.632805077803,96788.268619360257,29863.095620727261,100526.38466493505,160379.9247749495,58298.193924307328,{"$f":"SUM(P949:V949)","v":524173.03784578131},null,{"$f":"Y934+Y941+Y945","v":47936.566561424268},10093.145352375062,46866.758493985064,19233.038385314096,76971.619738325506,159337.16533891967,61576.367980510287,{"$f":"SUM(Y949:AE949)","v":422014.66185085394},null,{"$f":"AH934+AH941+AH945","v":38913.807794761429},10883.434927594262,27305.208874942975,9491.9601705243422,40769.406449699803,83898.095175062335,41771.774413551699,{"$f":"SUM(AH949:AN949)","v":253033.68780613685},null,{"$f":"AQ948","v":101102.94289294499},13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,{"$f":"SUM(AQ949:AW949)","v":632517.43270702334},null,{"$f":"AZ934+AZ941+AZ945","v":27102.050643882438},15953.239136237251,51279.347648599593,16501.776620603694,55923.814473101491,91262.227092508503,33936.95352014395,{"$f":"SUM(AZ949:BF949)","v":291959.40913507692},null,{"$f":"BI948","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,{"$f":"SUM(BI949:BO949)","v":898543.17876993015}]
[null,"Hourly Cordon VMT with ninth rebound effect",null,null,null,null,{"$f":"G949/G$135","v":67856.577360273732},102639.17010099208,141589.88089624202,150952.82285065472,136327.08610944636,161302.99407889228,141204.66646721613,null,{"$f":"ROW()","v":950}]
[null,"Factor Change",null,null,null,null,{"$f":"G949/G948","v":0.99998552509130623},1.0000075774244124,0.99992550651799506,0.99994966512816186,0.999956285723137,0.99999817738313657,0.99998040139926259,null,{"$f":"ROW()","v":951},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":952}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":953}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G950*$G$481/V_sub_k)^KSE)","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,{"$f":"ROW()","v":954},{"$f":"G954","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,null,{"$f":"G954","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,null,{"$f":"P954","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,null,{"$f":"G954*$AU$198","v":20.247952540367763},16.099188909006632,9.6752298613482051,8.3341111012826659,10.488051603321368,7.0249821520512468,9.7333816890841511,null,null,{"$f":"G954","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,null,{"$f":"Y954*$AU$198","v":20.247952540367763},{"$f":"Z954*$AU$198","v":16.099188909006632},{"$f":"AA954*$AU$198","v":9.6752298613482051},{"$f":"AB954*$AU$198","v":8.3341111012826659},{"$f":"AC954*$AU$198","v":10.488051603321368},{"$f":"AD954*$AU$198","v":7.0249821520512468},{"$f":"AE954*$AU$198","v":9.7333816890841511}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G859 / 'Speed-Vol., non-Cordon'!$Y$4)^G878,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H859 / 'Speed-Vol., non-Cordon'!$Y$4)^H878,'Speed-Vol., non-Cordon'!$Y$6)","v":37.32630953220454},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I859 / 'Speed-Vol., non-Cordon'!$Y$4)^I878,'Speed-Vol., non-Cordon'!$Y$6)","v":19.151881090899597},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J859 / 'Speed-Vol., non-Cordon'!$Y$4)^J878,'Speed-Vol., non-Cordon'!$Y$6)","v":21.455909653592599},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K859 / 'Speed-Vol., non-Cordon'!$Y$4)^K878,'Speed-Vol., non-Cordon'!$Y$6)","v":24.521252603474302},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L859 / 'Speed-Vol., non-Cordon'!$Y$4)^L878,'Speed-Vol., non-Cordon'!$Y$6)","v":16.509152455759729},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(M859 / 'Speed-Vol., non-Cordon'!$Y$4)^M878,'Speed-Vol., non-Cordon'!$Y$6)","v":27.334953122196818},null,{"$f":"ROW()","v":955},55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G955*$AV$198","v":54.45},36.953046436882495,18.960362279990601,21.241350557056673,24.276040077439561,16.344060931202133,27.061603590974851,"Avgs are wghtd by periods' cordon VMT.",null,55,37.32630953220454,19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y955*$AV$198","v":54.45},{"$f":"Z955*$AV$198","v":36.953046436882495},{"$f":"AA955*$AV$198","v":18.960362279990601},{"$f":"AB955*$AV$198","v":21.241350557056673},{"$f":"AC955*$AV$198","v":24.276040077439561},{"$f":"AD955*$AV$198","v":16.344060931202133},{"$f":"AE955*$AV$198","v":27.061603590974851},"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":956}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":957}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":958},{"$f":"($I$99)*60/P954","v":3.629996655388497},4.5654473908856792,7.5967187398437748,8.819176887225316,7.0079746725048464,10.462660033739517,7.5513323475672589,{"$f":"SUMPRODUCT(P$562:V$562,P958:V958)/W$562","v":7.9211401021244372},null,{"$f":"($J$99)*60/Y954","v":3.629996655388497},4.5654473908856792,7.5967187398437748,8.819176887225316,7.0079746725048464,10.462660033739517,7.5513323475672589,{"$f":"SUMPRODUCT(Y$562:AE$562,Y958:AE958)/AF$562","v":8.1176189920697883},null,{"$f":"($K$99)*60/AH954","v":4.646395718897276},5.8437726603336699,9.7237999870000316,11.288546415648403,8.9702075808062034,13.392204843186581,9.6657054048860918,{"$f":"SUMPRODUCT(AH$562:AN$562,AH958:AN958)/AO$562","v":9.9915438587955645},null,{"$f":"($L$99)*60/AQ954","v":4.4448938637410169},5.5903437439416486,9.3021045794005417,10.798992106806507,8.5811934765365478,12.811420449476959,9.2465294051843987,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ958:AW958)/AX$562","v":9.4587915949506538},null,{"$f":"($M$99)*60/AZ954","v":8.7119919729323936},10.957073738125631,18.232124975625059,21.166024529340756,16.819139214011631,25.110384080974843,18.123197634161421,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ958:BF958)/BG$562","v":19.001349811646833},null,{"$f":"($L$99)*60/BI954","v":4.4448938637410169},5.5903437439416486,9.3021045794005417,10.798992106806507,8.5811934765365478,12.811420449476959,9.2465294051843987,{"$f":"SUMPRODUCT(BI$562:BO$562,BI958:BO958)/BP$562","v":9.4541056143371058}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":959},{"$f":"60*$I$99/(1/($P$152/$P954+$Q$152/$Q954+$R$152/$R954+$S$152/$S954+$T$152/$T954+$U$152/$U954+$V$152/$V954))","v":8.0768079126094534},8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,{"$f":"SUMPRODUCT(P$463:V$463,P959:V959)/W$463","v":8.0768079126094534},null,{"$f":"60*$J$99/(1/($Y$152/$Y954+$Z$152/$Z954+$AA$152/$AA954+$AB$152/$AB954+$AC$152/$AC954+$AD$152/$AD954+$AE$152/$AE954))","v":8.0768079126094534},8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,8.0768079126094534,{"$f":"SUMPRODUCT(Y$463:AE$463,Y959:AE959)/AF$463","v":8.0768079126094516},null,{"$f":"AH958","v":4.646395718897276},5.8437726603336699,9.7237999870000316,11.288546415648403,8.9702075808062034,13.392204843186581,9.6657054048860918,{"$f":"SUMPRODUCT(AH$463:AN$463,AH959:AN959)/AO$463","v":9.8012600992369556},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ954+$BA$152/$BA954+$BB$152/$BB954+$BC$152/$BC954+$BD$152/$BD954+$BE$152/$BE954+$BF$152/$BF954))","v":19.111216580069478},19.111216580069478,19.111216580069478,19.111216580069478,19.111216580069478,19.111216580069478,19.111216580069478,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ959:BF959)/BG$463","v":19.111216580069478}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":960},{"$f":"($I$93)*60/P955","v":18.389355683366585},27.096559377576025,52.810194350347984,47.139206815955717,41.24644768113761,61.263869559354575,37.00077911470288,{"$f":"SUMPRODUCT(P$562:V$562,P960:V960)/W$562","v":46.758025075541887},null,{"$f":"($J$93)*60/Y955","v":18.389355683366585},27.096559377576025,52.810194350347984,47.139206815955717,41.24644768113761,61.263869559354575,37.00077911470288,{"$f":"SUMPRODUCT(Y$562:AE$562,Y960:AE960)/AF$562","v":46.962650309488062},null,{"$f":"($K$93)*60/AH955","v":27.584033525049882},40.644839066364035,79.215291525521977,70.708810223933583,61.869671521706422,91.895804339031869,55.50116867205432,{"$f":"SUMPRODUCT(AH$562:AN$562,AH960:AN960)/AO$562","v":67.384782755280852},null,{"$f":"($L$93)*60/AQ955","v":6.6115702479338836},9.7420925934996063,18.986978976657952,16.948074889729785,14.829436714209358,22.026349602792468,13.302981059114375,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ960:AW960)/AX$562","v":16.098285487430644},null,{"$f":"($M$93)*60/AZ955","v":16.961695569840352},24.992914328600691,48.710267775445956,43.479548124635897,38.044274141568202,56.507640767212777,34.128218628027625,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ960:BF960)/BG$562","v":42.926786214720629},null,{"$f":"($L$93)*60/BI955","v":6.6115702479338836},9.7420925934996063,18.986978976657952,16.948074889729785,14.829436714209358,22.026349602792468,13.302981059114375,{"$f":"SUMPRODUCT(BI$562:BO$562,BI960:BO960)/BP$562","v":15.988315545277482}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":961},{"$f":"60*$I$93/(1/($P$152/$P955+$Q$152/$Q955+$R$152/$R955+$S$152/$S955+$T$152/$T955+$U$152/$U955+$V$152/$V955))","v":46.854036435955607},46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,{"$f":"SUMPRODUCT(P$562:V$562,P961:V961)/W$562","v":46.854036435955607},null,{"$f":"60*$J$93/(1/($Y$152/$Y955+$Z$152/$Z955+$AA$152/$AA955+$AB$152/$AB955+$AC$152/$AC955+$AD$152/$AD955+$AE$152/$AE955))","v":46.854036435955607},46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,46.854036435955607,{"$f":"SUMPRODUCT(Y$562:AE$562,Y961:AE961)/AF$562","v":46.854036435955607},null,{"$f":"AH960","v":27.584033525049882},40.644839066364035,79.215291525521977,70.708810223933583,61.869671521706422,91.895804339031869,55.50116867205432,{"$f":"SUMPRODUCT(AH$562:AN$562,AH961:AN961)/AO$562","v":67.384782755280852},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ955+$BA$152/$BA955+$BB$152/$BB955+$BC$152/$BC955+$BD$152/$BD955+$BE$152/$BE955+$BF$152/$BF955))","v":43.376846104549173},43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,43.376846104549173,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ961:BF961)/BG$562","v":43.376846104549173}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":962},{"$f":"SUM(P958:P961)","v":76.950196687320144},86.592851117026768,115.33775743875682,110.8892280517461,103.18526670220751,126.65737394165916,99.482955810835193,109.61000952623138,null,{"$f":"SUM(Y958:Y961)","v":76.950196687320144},86.592851117026768,115.33775743875682,110.8892280517461,103.18526670220751,126.65737394165916,99.482955810835193,110.01111365012291,null,{"$f":"SUM(AH958:AH961)","v":64.460858487894313},92.977223453395411,177.878183025044,163.99471327916399,141.67975820502525,210.57601836443689,130.33374815388083,154.56236946859423,null,{"$f":"AQ958+AQ960","v":11.056464111674901},15.332436337441255,28.289083556058493,27.74706699653629,23.410630190745906,34.837770052269427,22.549510464298773,25.557077082381298,null,{"$f":"SUM(AZ958:AZ961)","v":88.161750227391394},98.438050751344974,129.43045543568968,127.1336353385953,117.35147604019849,144.10608753280627,114.73947894680769,124.41619871098612,null,{"$f":"BI958+BI960","v":11.056464111674901},15.332436337441255,28.289083556058493,27.74706699653629,23.410630190745906,34.837770052269427,22.549510464298773,25.442421159614589]
[null,"Ratio, new duration to prior duration",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":963},{"$f":"P962/P914","v":0.99999488160145811},0.99999600401849553,0.99998587551619678,0.99998673942894933,0.99999020768868652,0.99999658531101865,0.99999290519257455,0.9999922331833444,null,{"$f":"Y962/Y914","v":0.99999488160145811},0.99999600401849553,0.99998587551619678,0.99998673942894933,0.99999020768868652,0.99999658531101865,0.99999290519257455,0.99999314323179278,null,{"$f":"AH962/AH914","v":0.99999949202514726},1.0000009650035873,0.99998203874376945,0.99998299445676053,0.99998862828954382,0.99999937483153156,0.99999362144866244,0.99999439299370696,null,{"$f":"AQ962/AQ914","v":0.99999858343388837},1.0000027990479095,0.9999459818060592,0.99995192658358789,0.9999670825379714,0.99999819253324373,0.99998236594711376,0.99998045245545419,null,{"$f":"AZ962/AZ914","v":0.9999864576398001},0.99998903768446135,0.99996787162695533,0.9999702857032895,0.99997721683969043,0.99999107155969824,0.99998306955732885,0.99998185399884265,null,{"$f":"BI962/BI914","v":0.99999858343388837},1.0000027990479095,0.9999459818060592,0.99995192658358789,0.9999670825379714,0.99999819253324373,0.99998236594711376,0.99998133171486081]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":964}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":965}]
[null,"G. Results ",null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":966},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,"11pm - 5am","5am - 6am","6am - 9am","9am - 10am","10am - 2pm","2pm - 8pm ","8pm - 11pm",null,{"$f":"ROW()","v":967},"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm"]
[null,"Total Cordon VMT",null,null,null,null,{"$f":"G949","v":407139.46416164236},102639.17010099208,424769.64268872602,150952.82285065472,545308.34443778545,967817.9644733537,423613.99940164841,{"$f":"W968+AF968+AO968+AX968+BG968+BP968","v":3022241.408114803},{"$f":"ROW()","v":968},{"$f":"P949","v":41755.537436424165},36561.632805077803,96788.268619360257,29863.095620727261,100526.38466493505,160379.9247749495,58298.193924307328,524173.03784578131,null,47936.566561424268,10093.145352375062,46866.758493985064,19233.038385314096,76971.619738325506,159337.16533891967,61576.367980510287,422014.66185085394,null,38913.807794761429,10883.434927594262,27305.208874942975,9491.9601705243422,40769.406449699803,83898.095175062335,41771.774413551699,253033.68780613685,null,101102.94289294499,13600.755179267375,89217.516739385799,32063.268953366092,115653.4831370686,194019.67863032789,86859.787174662546,632517.43270702334,null,27102.050643882438,15953.239136237251,51279.347648599593,16501.776620603694,55923.814473101491,91262.227092508503,33936.95352014395,291959.40913507692,null,{"$f":"BI949","v":150328.55883220508},15546.962700440308,113312.54231245228,43799.683100119219,155463.63597465499,278920.87346158567,141170.92238847262,898543.17876993015]
[null,"Factor multiple from baseline",null,null,null,null,{"$f":"G968/G164","v":0.93373220641777743},1.2083693442217522,0.88079136615286657,0.93850391488007123,0.93441791636723692,0.93328091996651541,0.93703339004728248,0.93372869074711695,{"$f":"ROW()","v":969},{"$f":"P968/P164","v":0.81295895433666321},1.4293639719853679,0.69951557932609332,0.8016968919576567,0.80291185080963257,0.80714212260429741,0.85233811760310596,0.81285141003997985,null,{"$f":"Y968/Y164","v":0.94402347994976687},1.1806477448391957,0.93375628955403944,0.92725692938112592,0.91984309803751141,0.89894918398409007,0.98933866922833968,0.93071916602267724,null,{"$f":"AH968/AH164","v":0.81813797955590295},1.0907374480926904,0.69116533964836846,0.76858875470344989,0.76379902634243635,0.76334349714766447,0.85394325662326043,0.78679629292953002,null,{"$f":"AQ968/AQ164","v":0.94775270251466881},0.97260613352720515,1.0138078003179596,1.0161592779505881,1.0150069711215797,1.0170344401661047,0.91183387788379677,0.98801823608081296,null,{"$f":"AZ968/AZ164","v":1.0048833961901138},1.4344258085757833,0.91031567525395007,0.98798419343170274,0.98654295371065526,0.98605298432587962,1.0386407636661346,0.99631247998592998,null,{"$f":"BI968/BI164","v":0.98458355486135007},0.98843359729051283,1.0313994159315485,1.0367606745577951,1.0316639925004429,1.0414293813336586,0.97633320575677263,1.0168760368004868]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":970}]
[null,"VMT from Intra-cordon Trips (a subset of Total Cordon VMT)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":971}]
[null,"Final",null,null,null,null,{"$f":"G945","v":250524.27989754456},{"$f":"H945","v":29859.143002705212},204941.54737693624,72604.244389868312,265856.15418164572,457634.82373538264,226879.10268364125,{"$f":"SUM(G972:M972)","v":1508299.295267724},{"$f":"ROW()","v":972},{"$f":"P945","v":8478.8428326764497},{"$f":"Q945","v":2165.7791905334793},17951.370258977731,4759.0168322002201,17358.696203341435,33437.825639033443,11707.408876720114,{"$f":"SUM(P972:V972)","v":95858.939833482873},null,{"$f":"Y945","v":5961.862461434439},{"$f":"Z945","v":1522.8584738044442},12622.430040317968,3346.2825488266499,12205.693785867457,23511.665613268091,8232.0150143353221,{"$f":"SUM(Y972:AE972)","v":67402.807937854377},null,{"$f":"AH945","v":0},{"$f":"AI945","v":0},0,0,0,0,0,{"$f":"SUM(AH972:AN972)","v":0},null,{"$f":"AQ945","v":98921.343502801625},{"$f":"AR945","v":10587.361918605688},70889.479063585793,26512.192139335082,97103.083780089873,163948.05758073079,85863.996373816655,{"$f":"SUM(AQ972:AW972)","v":553825.51435896545},null,{"$f":"AZ945","v":5073.4041205083204},{"$f":"BA945","v":1445.9292744335949},8820.150734482082,2585.2486404696169,9527.7601449074864,17818.830766023035,6422.2197863917236,{"$f":"SUM(AZ972:BF972)","v":51693.543467215859},null,{"$f":"BI945","v":132088.82698012373},{"$f":"BJ945","v":14137.214145328004},94658.117279572645,35401.504229036742,129660.92026743945,218918.44413632719,114653.46263237746,{"$f":"SUM(BI972:BO972)","v":739518.48967020516}]
[null,"Factor multiple from baseline",null,null,null,null,{"$f":"G972/G160","v":1.0012006428739126},0.97870674858838769,1.0466006717528344,1.0191146551772381,1.0173481120111763,1.0248223996320591,1.0137348092834713,1.0194864258429539,{"$f":"ROW()","v":973},{"$f":"P972/P160","v":1.0189640993152076},0.86457740271088657,1.3694165980814244,1.1779465240715163,1.1598254170342375,1.2123874435432136,1.1608246565845859,1.1892114822053701,null,{"$f":"Y972/Y160","v":1.0189640993152078},0.86457740271088623,1.3694165980814244,1.1779465240715163,1.1598254170342372,1.2123874435432138,1.1608246565845859,1.1892114822053703,null,null,null,null,null,null,null,null,null,null,{"$f":"AQ972/AQ160","v":1},1,1,1,1,1,1,1,null,{"$f":"AZ972/AZ160","v":1.0062818225146815},0.95265275284024209,1.1104828670681552,1.0561084683236022,1.0506648599601596,1.0663026207294424,1.0509665043598215,1.0584263609176054,null,{"$f":"BI972/BI160","v":1},1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":974}]
[null,"Optional: Exogenous change to VMT from Intra-cordon Trips (a means of testing possible changes in CBD streets-use policies, e.g., eliminating horse-drawn carriages)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":975}]
[null,"Exogenous change to Cordon VMT",null,null,null,null,0,0,0,null,null,null,0,{"$f":"SUM(G976:M976)","v":0},{"$f":"ROW()","v":976}]
[null,{"$f":"CONCATENATE(\"This row reserved to annotate any change entered in Row \",O976, \".\")","v":"This row reserved to annotate any change entered in Row 976."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":977}]
[null,"Total Cordon VMT with exogenous change (if any)",null,null,null,null,{"$f":"G968+G976","v":407139.46416164236},102639.17010099208,424769.64268872602,150952.82285065472,545308.34443778545,967817.9644733537,423613.99940164841,{"$f":"SUM(G978:M978)","v":3022241.408114803},{"$f":"ROW()","v":978}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O968, \" and \",O976, \".\")","v":"Sum of Rows 968 and 976."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":979}]
[null,"Cordon VMT per hour with exogenous change (if any)",null,null,null,null,{"$f":"G978/G$135","v":67856.577360273732},102639.17010099208,141589.88089624202,150952.82285065472,136327.08610944636,161302.99407889228,141204.66646721613,null,{"$f":"ROW()","v":980}]
[null,{"$f":"CONCATENATE(\"Quotient of period VMT in Row \",O978, \" and hours in period in Row \",O135, \".\")","v":"Quotient of period VMT in Row 978 and hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":981}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":982}]
[null,"Change in Vehicle Entries from Baseline",null,null,null,null,{"$f":"G933-G139","v":-4089.1433170863165},14695.936706117198,-37032.549189496262,-5299.1569970594828,-18002.417819684153,-29729.384915559232,212.07688989797316,-79244.638642870355,{"$f":"ROW()","v":983},{"$f":"P933-P139","v":-1468.3552335923596},10298.664078633235,-30224.319192062278,-4207.940725122955,-12065.395424055263,-15021.316963727921,-1685.6973351530378,-54374.360795080574,null,{"$f":"Y933-Y139","v":-396.35270548207336},1811.0182953308415,-3241.6647727393774,-905.75188462068036,-3739.0973875568343,-11324.485586075876,941.07560634380934,-16855.258434800169,null,{"$f":"AH933-AH139","v":-2906.5873973165235},1054.9493382972305,-4902.1821451129836,-889.05634976096098,-4101.1729513959617,-8248.5973303098945,-1434.3257249831258,-21426.972560582231,null,{"$f":"AQ933-AQ139","v":15.860852994564084},-113.21408186267809,1432.7276757889276,245.82368095731613,703.99053029540573,1426.9926469274233,280.2026615875584,3992.3839666885178,null,{"$f":"AZ933-AZ139","v":92.224603892997948},1660.2577588432885,-1846.596067915847,-74.406313587614932,-279.56901715031927,-595.96415390912807,388.36413447013001,-655.6890553564881,null,{"$f":"BI933-BI139","v":574.06656241707788},-15.738683124727231,1749.4853125453064,532.17459507540934,1478.8264301788377,4033.9864715361437,1722.4575476326318,10075.25823626067]
[null,{"$f":"CONCATENATE(\"Equilibrium entries in Row \",O933, \" less baseline entries in Row \",O139, \".\")","v":"Equilibrium entries in Row 933 less baseline entries in Row 139."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":984}]
[null,"Change in Vehicle Entries from Baseline, as %",null,null,null,null,{"$f":"G983/G139","v":-7.0516878278250969E-2},0.65147042709830083,-0.31809007571922732,-0.15050614850985361,-0.15396583222609281,-0.1547288509042388,2.9389853377529297E-3,-0.12918917287719328,{"$f":"ROW()","v":985},{"$f":"P983/P139","v":-0.18121982057940414},0.77390525483681538,-0.42260797785639725,-0.24582034651804868,-0.24935630309543269,-0.28587846841296749,-0.11449508491599521,-0.24091431455507567,null,{"$f":"Y983/Y139","v":-2.2741892797887485E-2},1.0019408985061289,-0.2570944936298985,-0.1179941631488325,-0.12244308544352792,-0.16909187688321281,4.3429019280716089E-2,-0.10620830771770744,null,{"$f":"AH983/AH139","v":-0.16145065363618247},0.26759724090996728,-0.4113307765633995,-0.25323368117037648,-0.26226566541779367,-0.26495167434060746,-8.7693395726672493E-2,-0.21320370707046998,null,{"$f":"AQ983/AQ139","v":5.3686510858754E-3},-8.7498921243489361E-2,0.21977024120062433,0.12800277078995637,0.10973429581182569,0.13965629714773983,7.8295145896765381E-2,0.12134905673825282,null,{"$f":"AZ983/AZ139","v":2.5234048128693568E-2},1.037240001318253,-0.22897002408816844,-3.1318931007031689E-2,-3.5226223977384237E-2,-4.7147689524595866E-2,8.7720921667323898E-2,-1.6110296200405112E-2,null,{"$f":"BI983/BI139","v":7.3174592371072628E-2},-2.5956327387976558E-2,0.30203625304309584,0.20407963032114737,0.18457905889720139,0.21651911546442518,0.15101953139637214,0.18352018645283552]
[null,"Above, 6 a.m. - 6 p.m. only",null,null,null,null,null,null,null,null,null,null,null,{"$f":"(SUM(I983:K983)+2/3*L983)/(SUM(I139:K139)+2/3*L139)","v":-0.20207787604679897},{"$f":"ROW()","v":986}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":987},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Total Non-Cordon VMT ",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm","Totals",{"$f":"ROW()","v":988}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":989}]
[null,{"$f":"CONCATENATE(\"Change in # of cordon entries, factor multiple from baseline (shown in column blocks to right; calc'd as 'Final' entries in Row \",O933, \" divided by baseline entries in Row \",O425, \").\")","v":"Change in # of cordon entries, factor multiple from baseline (shown in column blocks to right; calc'd as 'Final' entries in Row 933 divided by baseline entries in Row 425)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":990},{"$f":"P933/P425","v":0.81878017942059589},1.7739052548368153,0.57739202214360275,0.75417965348195126,0.75064369690456734,0.71412153158703251,0.88550491508400475,null,null,{"$f":"Y933/Y425","v":0.97725810720211248},2.0019408985061289,0.74290550637010155,0.88200583685116751,0.87755691455647211,0.83090812311678719,1.0434290192807161,null,null,{"$f":"AH933/AH425","v":0.8385493463638175},1.2675972409099674,0.58866922343660044,0.74676631882962352,0.73773433458220639,0.73504832565939249,0.91230660427332755,null,null,{"$f":"AQ933/AQ425","v":1.0053686510858755},0.91250107875651065,1.2197702412006244,1.1280027707899565,1.1097342958118257,1.1396562971477397,1.0782951458967653,null,null,{"$f":"AZ933/AZ425","v":1.0252340481286937},2.0372400013182528,0.77102997591183153,0.96868106899296835,0.96477377602261571,0.95285231047540409,1.0877209216673238,null,null,{"$f":"BI933/BI425","v":1.0731745923710727},0.9740436726120234,1.3020362530430958,1.2040796303211474,1.1845790588972014,1.2165191154644253,1.151019531396372]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"P991+Y991+AH991+AQ991+AZ991+BI991","v":907251.92639470054},646608.82029517239,1221033.388244608,465663.32469639031,1574403.2549894569,2542330.577743866,1155007.3692903768,{"$f":"SUM(G991:M991)","v":8512298.6616545692},{"$f":"ROW()","v":991},{"$f":"P990*P173","v":111833.18980456219},397925.22388838197,696093.48133774789,217622.87864381383,612255.93465526763,632523.46782964782,219766.59777502663,{"$f":"SUM(P991:V991)","v":2888020.7739344481},null,{"$f":"Y990*Y173","v":287106.12193484587},60997.205264322271,157901.71818324015,114129.55740996689,451737.09689333837,938051.52833092504,381140.72606956086,{"$f":"SUM(Y991:AE991)","v":2391063.9540861994},null,{"$f":"AH990*AH173","v":381716.92304334819},126357.33833426289,177393.94021876811,66292.096339671974,291699.61317278253,578626.79183835303,377303.5835508944,{"$f":"SUM(AH991:AN991)","v":1999390.2864980812},null,{"$f":"AQ990*AQ173","v":17821.241267292538},7084.0625481065772,47711.607534976094,12997.677700304726,42716.404909651261,69869.294372051678,23154.015467748224,{"$f":"SUM(AQ991:AW991)","v":221354.30380013111},null,{"$f":"AZ990*AZ173","v":58259.07642975518},50701.307561755013,96681.914711355348,35781.980426536509,119049.92907702633,187269.05470563169,74874.531006086763,{"$f":"SUM(AZ991:BF991)","v":622617.79391814687},null,{"$f":"BI990*BI173","v":50515.373914896452},3543.6826983436958,45250.726258521034,18839.134176096326,56944.276281390761,135990.44066725593,78767.915421059864,{"$f":"SUM(BI991:BO991)","v":389851.54941756412}]
[null,{"$f":"CONCATENATE(\"Respective figures in column-blocks at right are products of factor multiple in Row \",O990, \" and VMT in Row \",O173, \".\")","v":"Respective figures in column-blocks at right are products of factor multiple in Row 990 and VMT in Row 173."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":992}]
[null,{"$f":"CONCATENATE(\"Change in # of cordon exits, factor multiple from baseline (shown in column blocks to right, and calculated as Final' exits in Row \",O939, \" divided by baseline exits in Row \",O150, \").\")","v":"Change in # of cordon exits, factor multiple from baseline (shown in column blocks to right, and calculated as Final' exits in Row 939 divided by baseline exits in Row 150)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":993},{"$f":"P939/P150","v":0.75908568544492416},0.75908568544492427,0.75908568544492427,0.75908568544492427,0.75908568544492416,0.75908568544492416,0.75908568544492427,null,null,{"$f":"Y939/Y150","v":0.89379169228229283},0.89379169228229238,0.89379169228229272,0.8937916922822926,0.89379169228229249,0.8937916922822926,0.8937916922822926,null,null,{"$f":"AH939/AH150","v":0.78679629292953002},0.78679629292953002,0.78679629292953013,0.78679629292953002,0.78679629292952991,0.78679629292953002,0.78679629292953013,null,null,{"$f":"AQ939/AQ150","v":1.0053686510858755},0.91250107875651065,1.2197702412006242,1.1280027707899565,1.1097342958118257,1.1396562971477397,1.0782951458967653,null,null,{"$f":"AZ939/AZ150","v":0.98388970379959484},0.98388970379959484,0.98388970379959495,0.98388970379959484,0.98388970379959495,0.98388970379959495,0.98388970379959484,null,null,{"$f":"BI939/BI150","v":1.0731745923710727},0.9740436726120234,1.3020362530430958,1.2040796303211474,1.1845790588972014,1.2165191154644253,1.151019531396372]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,973363.4883352241,201250.11810053204,1141420.1069498784,372923.87014043599,1504632.9370340635,3119457.7995741381,1199250.3415202983,{"$f":"SUM(G994:M994)","v":8512298.6616545711},{"$f":"ROW()","v":994},{"$f":"P993*P174","v":336920.59042116476},65921.005955586181,367063.67960541486,120918.86624953983,509304.21529942221,1079357.7011196164,408534.71528370335,{"$f":"SUM(P994:V994)","v":2888020.7739344477},null,{"$f":"Y993*Y174","v":278944.904557592},54577.634129262486,303901.11493660422,100111.72532680939,421665.57867503987,893626.98357482092,338236.01288607053,{"$f":"SUM(Y994:AE994)","v":2391063.9540861994},null,{"$f":"AH993*AH174","v":233251.70022636603},45637.42067693756,254119.90182102777,83712.696534494578,352593.68981440208,747244.38368061546,282830.49374423781,{"$f":"SUM(AH994:AN994)","v":1999390.2864980814},null,{"$f":"AQ993*AQ174","v":17821.241267292538},7084.0625481065772,47711.607534976087,12997.677700304726,42716.404909651261,69869.294372051678,23154.015467748224,{"$f":"SUM(AQ994:AW994)","v":221354.30380013108},null,{"$f":"AZ993*AZ174","v":55909.677947912394},24486.312092295531,123373.07679333433,36343.770153191115,121408.77205415716,193368.99615977812,67727.188717478304,{"$f":"SUM(AZ994:BF994)","v":622617.79391814698},null,{"$f":"BI993*BI174","v":50515.373914896452},3543.6826983436958,45250.726258521034,18839.134176096326,56944.276281390761,135990.44066725593,78767.915421059864,{"$f":"SUM(BI994:BO994)","v":389851.54941756412}]
[null,{"$f":"CONCATENATE(\"Respective figures in column-blocks at right are products of factor multiple in Row \",O993, \" and VMT in Row \",O174, \".\")","v":"Respective figures in column-blocks at right are products of factor multiple in Row 993 and VMT in Row 174."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":995}]
[null,"Non-cordon VMT in period for cordon trips (sum of figures in two previous rows)",null,null,null,null,{"$f":"G991+G994","v":1880615.4147299246},847858.93839570438,2362453.4951944863,838587.1948368263,3079036.1920235204,5661788.3773180041,2354257.7108106753,{"$f":"SUM(G996:M996)","v":17024597.323309142},{"$f":"ROW()","v":996},{"$f":"P991+P994","v":448753.78022572695},463846.22984396818,1063157.1609431626,338541.74489335367,1121560.1499546899,1711881.1689492641,628301.31305872998,{"$f":"SUM(P996:V996)","v":5776041.5478688953},null,{"$f":"Y991+Y994","v":566051.02649243781},115574.83939358476,461802.83311984438,214241.28273677628,873402.6755683783,1831678.5119057461,719376.73895563139,{"$f":"SUM(Y996:AE996)","v":4782127.9081723988},null,{"$f":"AH991+AH994","v":614968.62326971418},171994.75901120045,431513.84203979588,150004.79287416657,644293.30298718461,1325871.1755189686,660134.07729513221,{"$f":"SUM(AH996:AN996)","v":3998780.5729961619},null,{"$f":"AQ991+AQ994","v":35642.482534585077},14168.125096213154,95423.215069952188,25995.355400609453,85432.809819302522,139738.58874410336,46308.030935496448,{"$f":"SUM(AQ996:AW996)","v":442708.60760026221},null,{"$f":"AZ991+AZ994","v":114168.75437766757},75187.619654050548,220054.99150468968,72125.750579727624,240458.70113118348,380638.05086540978,142601.71972356507,{"$f":"SUM(AZ996:BF996)","v":1245235.5878362937},null,{"$f":"BI991+BI994","v":101030.7478297929},7087.3653966873917,90501.452517042067,37678.268352192652,113888.55256278152,271980.88133451185,157535.83084211973,{"$f":"SUM(BI996:BO996)","v":779703.09883512824}]
[null,"B. Total non-cordon VMT (on roads used by trips that enter cordon)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":997}]
[null,"Total VMT factor change - total all non-cordon trips",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":998},{"$f":"P$505*P$537*P$589*P$638*P$686*P$734*P$782*P$830*P$878*P$926","v":0.94289179092387843},1.0563661294278841,0.95645287845933025,0.97128017477545769,0.97047685741955036,0.97491806523450708,0.98321636947058721,null,null,{"$f":"Y$505*Y$537*Y$589*Y$638*Y$686*Y$734*Y$782*Y$830*Y$878*Y$926","v":0.94289179092387843},1.0570757498326895,0.95608477098855049,0.97075914413827147,0.96987229274968634,0.97499561405516288,0.98285713795714946,null,null,{"$f":"AH$505*AH$537*AH$589*AH$638*AH$686*AH$734*AH$782*AH$830*AH$878*AH$926","v":0.94289179092387843},1.0570757498326895,0.95608477098855049,0.97075914413827147,0.96987229274968634,0.97499561405516288,0.98285713795714946,null,null,{"$f":"AQ$505*AQ$537*AQ$589*AQ$638*AQ$686*AQ$734*AQ$782*AQ$830*AQ$878*AQ$926","v":0.94289179092387843},1.087485465155325,0.92056741803923137,0.94862235370477865,0.94899002823845402,0.95214337769732871,0.97173928660582687,null,null,{"$f":"AZ$505*AZ$537*AZ$589*AZ$638*AZ$686*AZ$734*AZ$782*AZ$830*AZ$878*AZ$926","v":0.94289179092387843},1.1089875499676634,0.89727979385553946,0.93364454259565022,0.93473624368314234,0.93728144891620147,0.96404498621003243,null,null,{"$f":"BI$505*BI$537*BI$589*BI$638*BI$686*BI$734*BI$782*BI$830*BI$878*BI$926","v":0.94289179092387843},1.087485465155325,0.92056741803923137,0.94862235370477865,0.94899002823845402,0.95214337769732871,0.97173928660582687]
[null,{"$f":"CONCATENATE(\"Product of nine preceding rebound effects for non-cordon travel and the 'initial' ratio of post-pricing cordon travel to pre-pricing cordon travel in Row \",O505, \".\")","v":"Product of nine preceding rebound effects for non-cordon travel and the 'initial' ratio of post-pricing cordon travel to pre-pricing cordon travel in Row 505."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":999}]
[null,"Total non-cordon VMT",null,null,null,null,{"$f":"P1000+Y1000+AH1000+AQ1000+AZ1000+BI1000","v":5807719.8136060238},{"$f":"Q1000+Z1000+AI1000+AR1000+BA1000+BJ1000","v":1925779.1388470603},8847588.8265738823,2777625.5818688744,10293788.319472957,19094690.004863366,7220959.1299068006,{"$f":"SUM(G1000:M1000)","v":55968150.815138966},{"$f":"ROW()","v":1000},{"$f":"P998*P184","v":1605057.4942521055},964003.8564053952,4738102.8678660933,1275712.7199377499,4231065.3486100137,6598019.1757035078,2267533.2775685345,{"$f":"SUM(P1000:V1000)","v":21679494.740343399},null,{"$f":"Y998*Y184","v":1675415.1205105369},283761.87570066482,1549352.0962322759,687279.73093291093,2806100.278131817,6087018.8076264048,2143709.5677812691,{"$f":"SUM(Y1000:AE1000)","v":15232637.476915881},null,{"$f":"AH998*AH184","v":2078561.6579354962},488850.14967738767,1750587.544547566,555644.79819518409,2399350.6529086046,4966593.7097060988,2228271.9240733916,{"$f":"SUM(AH1000:AN1000)","v":14467860.43704373},null,{"$f":"AQ998*AQ184","v":36770.29771027853},18573.559545588309,79218.077081985393,24047.594075565659,80363.717152636149,128421.42796552491,45905.118304832715,{"$f":"SUM(AQ1000:AW1000)","v":413299.79183641169},null,{"$f":"AZ998*AZ184","v":314273.00513077353},161885.62420073518,659943.13666359638,202287.83822281138,676546.08015774062,1080475.9315972328,389241.00233845634,{"$f":"SUM(AZ1000:BF1000)","v":3484652.6183113465},null,{"$f":"BI998*BI184","v":97642.238066833612},8704.0733172890832,70385.104182365321,32652.900504652334,100362.24251214528,234160.95226459473,146298.23984031673,{"$f":"SUM(BI1000:BO1000)","v":690205.75068819709}]
[null,{"$f":"CONCATENATE(\"Each entry is product of foregoing factor, in Row \",O998, \", and the pre-pricing volume of non-cordon VMT in Row \",O184, \".\")","v":"Each entry is product of foregoing factor, in Row 998, and the pre-pricing volume of non-cordon VMT in Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1001}]
[null,"C. Non-cordon VMT for trips that do not enter the cordon (difference between Total in \"B\" and cordon-trips' VMT in \"A\")",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1002}]
[null,"VMT for non-cordon trips (on roads used by cordon-bound trips)",null,null,null,null,{"$f":"P1003+Y1003+AH1003+AQ1003+AZ1003+BI1003","v":3927104.3988760998},1077920.2004513557,6485135.3313793959,1939038.3870320476,7214752.127449438,13432901.627545359,4866701.4190961262,{"$f":"SUM(G1003:M1003)","v":38943553.49182982},{"$f":"ROW()","v":1003},{"$f":"P1000-P996","v":1156303.7140263785},500157.62656142702,3674945.7069229307,937170.97504439624,3109505.1986553241,4886138.0067542437,1639231.9645098045,{"$f":"SUM(P1003:V1003)","v":15903453.192474503},null,{"$f":"Y1000-Y996","v":1109364.0940180991},168187.03630708007,1087549.2631124316,473038.44819613465,1932697.6025634387,4255340.2957206592,1424332.8288256377,{"$f":"SUM(Y1003:AE1003)","v":10450509.568743482},null,{"$f":"AH1000-AH996","v":1463593.034665782},316855.39066618722,1319073.7025077702,405640.00532101752,1755057.34992142,3640722.5341871302,1568137.8467782594,{"$f":"SUM(AH1003:AN1003)","v":10469079.864047566},null,{"$f":"AQ1000-AQ996","v":1127.8151756934531},4405.4344493751541,-16205.137987966795,-1947.7613250437935,-5069.0926666663727,-11317.160778578444,-402.91263066373358,{"$f":"SUM(AQ1003:AW1003)","v":-29408.815763850529},null,{"$f":"AZ1000-AZ996","v":200104.25075310597},86698.004546684635,439888.1451589067,130162.08764308375,436087.37902655714,699837.88073182304,246639.28261489127,{"$f":"SUM(AZ1003:BF1003)","v":2239417.0304750525},null,{"$f":"BI1000-BI996","v":-3388.5097629592929},1616.7079206016915,-20116.348334676746,-5025.3678475403176,-13526.310050636239,-37819.929069917125,-11237.591001802997,{"$f":"SUM(BI1003:BO1003)","v":-89497.348146931021}]
[null,{"$f":"CONCATENATE(\"Row \",O1000, \" figure, less Row \",O996, \" figure.\")","v":"Row 1000 figure, less Row 996 figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1004}]
[null,"VMT factor multiple, after pricing",null,null,null,null,{"$f":"G1000/G184","v":0.94289179092387843},1.0613154791891084,0.95101142349324508,0.9677349193388195,0.96735640705820825,0.97231194309599467,0.98163825748197953,null,{"$f":"ROW()","v":1005}]
[null,{"$f":"CONCATENATE(\"Row \",O1000, \" figure divided by Row \",O184, \" figure.\")","v":"Row 1000 figure divided by Row 184 figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1006}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1007}]
[null,null,null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":1008}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":1009}]
[null,"Speeds",{"$f":"CONCATENATE(\"(with exogenous addition of cordon VMT, if any, entered in block of Row \",O975,\" to Row \",O981,\")\")","v":"(with exogenous addition of cordon VMT, if any, entered in block of Row 975 to Row 981)"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1010}]
[null,"Cordon",null,null,null,null,{"$f":"KSC/(1+0.1*(G980*$G$481/V_sub_k)^KSE)","v":20.661176061599758},16.427743784700645,9.8726835319879651,8.5041950013088421,10.702093472776907,7.1683491347461699,9.9320221317185222,null,{"$f":"ROW()","v":1011}]
[null,{"$f":"CONCATENATE(\"Uses same speed-vol. formula as in Row \",O954, \", but operates on possibly amended hourly cordon VMT's in Row \",O980, \".\")","v":"Uses same speed-vol. formula as in Row 954, but operates on possibly amended hourly cordon VMT's in Row 980."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1012}]
[null,"Factor multiple from baseline",null,null,{"$f":"CONCATENATE(\"Ratio of Rows \",O1011, \" and \",O201, \".\")","v":"Ratio of Rows 1011 and 201."},null,{"$f":"G1011/G201","v":1.019203600889667},0.8655137556066641,1.3646620868456314,1.1772907695849502,1.1600721179975995,1.2144564671071243,1.1629828342634807,null,{"$f":"ROW()","v":1013}]
[null,"% Gain from baseline",null,null,{"$f":"CONCATENATE(\"Row \",O1013,\" less one.\")","v":"Row 1013 less one."},null,{"$f":"G1013-1","v":1.9203600889666994E-2},-0.1344862443933359,0.36466208684563139,0.17729076958495016,0.16007211799759946,0.21445646710712429,0.1629828342634807,null,{"$f":"ROW()","v":1014}]
[null,"Non-cordon",null,null,null,null,{"$f":"G955","v":55},{"$f":"H955","v":37.32630953220454},19.151881090899597,21.455909653592599,24.521252603474302,16.509152455759729,27.334953122196818,null,{"$f":"ROW()","v":1015}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O955, \".\")","v":"Copied from Row 955."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1016}]
[null,"Factor multiple from baseline",null,null,{"$f":"CONCATENATE(\"Ratio of Rows \",O1015, \" and \",O217, \".\")","v":"Ratio of Rows 1015 and 217."},null,{"$f":"G1015/G217","v":1},0.92939748385812182,1.100516394561543,1.0610977524718976,1.0579975346674571,1.0608466921467352,1.0300643036473005,null,{"$f":"ROW()","v":1017}]
[null,"% Gain from baseline",null,null,{"$f":"CONCATENATE(\"Row \",O1017,\" less one.\")","v":"Row 1017 less one."},null,{"$f":"G1017-1","v":0},-7.060251614187818E-2,0.10051639456154304,6.1097752471897637E-2,5.7997534667457051E-2,6.0846692146735215E-2,3.0064303647300505E-2,null,{"$f":"ROW()","v":1018}]
[null,"Reciprocal of Cordon Speed (necessary to calculate avg, below)",null,null,null,null,{"$f":"1/G1011","v":4.839995540517996E-2},6.0872631878475726E-2,0.10128958319791699,0.11758902516300421,9.3439662300064619E-2,0.13950213378319357,0.10068443130089678,null,{"$f":"ROW()","v":1019}]
[null,"Reciprocal of Non-Cordon Speed (necessary to calculate avg)",null,null,null,null,{"$f":"1/G1015","v":1.8181818181818181E-2},2.6790754632123919E-2,5.2214192185809374E-2,4.6607205946756915E-2,4.0780950964075739E-2,6.0572461407679294E-2,3.6583197912564536E-2,null,{"$f":"ROW()","v":1020}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1021}]
[null,"Analysis and Interpretations ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1022}]
[null,null,null,null,null,null,null,null,null,"Diagnostic tool to chart \"convergence\" in cordon entries through our series of traffic iterations",null,null,null,null,{"$f":"ROW()","v":1023}]
[null,"Speed Comparisons",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1024}]
[null,null,null,null,"8pm-6am","6am-8pm","8am-6pm","24h",null,null,"Cordon Entries","Delta, from",null,null,{"$f":"ROW()","v":1025}]
[null,"Cordon",null,null,null,null,null,null,null,"Section ",null,"previous #","first change",null,{"$f":"ROW()","v":1026}]
[null,"Baseline mph",null,null,{"$f":"($G$135*$G$166+$H$135*$H$166+$M$135*$M$166)/($G$135*$G$166*G202+$H$135*$H$166*H202+$M$135*$M$166*M202)","v":12.329561288276389},{"$f":"($I$135*$I$166+$J$135*$J$166+$K$135*$K$166+$L$135*$L$166)/($I$135*$I$166*I202+$J$135*$J$166*J202+$K$135*$K$166*K202+$L$135*$L$166*L202)","v":6.9041351017450152},{"$f":"K204","v":7.099691544567313},{"$f":"K205","v":7.9566975814690171},null,"B",{"$f":"N139","v":613400},null,null,null,{"$f":"ROW()","v":1027}]
[null,"Equilibrium mph",null,null,{"$f":"(G$980*G135+H$980*H135+M$980*M135)/(G980*G135*G1019+H980*H135*H1019+M980*M135*M1019)","v":13.605358016714327},{"$f":"(I$980*I135+J$980*J135+K$980*K135+L$980*L135)/(I980*I135*I1019+J980*J135*J1019+K980*K135*K1019+L980*L135*L1019)","v":8.4657466451279682},{"$f":"(I$980*1+J$980*J135+K$980*K135+L$980*4)/(I980*1*I1019+J980*J135*J1019+K980*K135*K1019+L980*4*L1019)","v":8.5699510409511195},{"$f":"$N$968/SUMPRODUCT(G1019:M1019,G968:M968)","v":9.583889585161236},null,"C",{"$f":"N448","v":496813.1615639528},{"$f":"K1028-K1027","v":-116586.8384360472},{"$f":"K1028-$K$1028","v":0},null,{"$f":"ROW()","v":1028}]
[null,"Factor (ratio)",null,null,null,null,{"$f":"G1028/G1027","v":1.2070877991183786},{"$f":"H1028/H1027","v":1.2045059507454343},null,"D",{"$f":"N544","v":571740.55279963976},{"$f":"K1029-K1028","v":74927.391235686955},74927.391235686955,null,{"$f":"ROW()","v":1029}]
[null,"% Gain from baseline",null,null,null,null,{"$f":"ROUND(G1029-1,2)","v":0.21},{"$f":"ROUND(H1029-1,2)","v":0.2},null,"E",{"$f":"N596","v":514996.54255546071},-56744.010244179051,18183.380991507904,null,{"$f":"ROW()","v":1030}]
[null,"Non-Cordon",null,null,null,null,null,null,null,"F",{"$f":"N645","v":555925.45497658895},40928.912421128247,59112.293412636151,null,{"$f":"ROW()","v":1031}]
[null,"Baseline mph",null,null,{"$f":"($G$135*$G$166+$H$135*$H$166+$M$135*$M$166)/($G$135*$G$166*G218+$H$135*$H$166*H218+$M$135*$M$166*M218)","v":35.934455203254537},{"$f":"($I$135*$I$166+$J$135*$J$166+$K$135*$K$166+$L$135*$L$166)/($I$135*$I$166*I218+$J$135*$J$166*J218+$K$135*$K$166*K218+$L$135*$L$166*L218)","v":17.756986206779487},{"$f":"K220","v":18.220079748547541},{"$f":"K221","v":20.941636611133816},null,"G",{"$f":"N693","v":531543.34246428427},-24382.11251230468,34730.18090033147,null,{"$f":"ROW()","v":1032}]
[null,"Equilibrium mph",null,null,{"$f":"(G$980*G135+H$980*H135+M$980*M135)/(G$980*G135*G$1020+H$980*H135*H$1020+M$980*M135*M$1020)","v":36.390326423984696},{"$f":"(I$980*I135+J$980*J135+K$980*K135+L$980*L135)/(I$980*I135*I$1020+J$980*J135*J$1020+K$980*K135*K$1020+L$980*L135*L$1020)","v":18.976457426178658},{"$f":"(I$980*I135+J$980*J135+K$980*K135+L$980*4)/(I980*I135*I1020+J980*J135*J1020+K980*K135*K1020+L980*4*L1020)","v":19.509000951346799},{"$f":"$N$968/SUMPRODUCT(G1020:M1020,G968:M968)","v":22.267344389813925},null,"H",{"$f":"N741","v":534644.63053683483},3101.2880725505529,37831.468972882023,null,{"$f":"ROW()","v":1033}]
[null,"Factor (ratio)",null,null,null,null,{"$f":"G1033/G1032","v":1.0707417980924046},{"$f":"H1033/H1032","v":1.0633048793318896},null,"I",{"$f":"N789","v":534132.99907259853},-511.63146423629951,37319.837508645724,null,{"$f":"ROW()","v":1034}]
[null,"% Gain from baseline",null,null,null,null,{"$f":"ROUND(G1034-1,2)","v":7.0000000000000007E-2},{"$f":"ROUND(H1034-1,2)","v":0.06},null,"J",{"$f":"N837","v":534168.96147823811},35.962405639584176,37355.799914285308,null,{"$f":"ROW()","v":1035}]
[null,null,null,null,null,null,null,null,null,"K",{"$f":"N885","v":534185.39087998786},16.429401749745011,37372.229316035053,null,{"$f":"ROW()","v":1036}]
[null,"VMT Comparisons",null,null,null,null,null,null,null,"L",{"$f":"N933","v":534155.36135712964},-30.029522858210839,37342.199793176842,null,{"$f":"ROW()","v":1037}]
[null,null,null,null,null,null,"6 a.m. - 6 p.m.","24h",null,null,null,null,null,null,{"$f":"ROW()","v":1038}]
[null,"Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1039}]
[null,"Baseline VMT",null,null,null,null,{"$f":"I164+J164+K164+2/3*L164","v":1918021.353752628},{"$f":"N164","v":3236744.7183148847},null,null,null,null,null,null,{"$f":"ROW()","v":1040}]
[null,"Equilibrium VMT",null,null,null,null,{"$f":"I968+J968+K968+2/3*L968","v":1766242.7862927353},{"$f":"N968","v":3022241.408114803},null,null,null,null,null,null,{"$f":"ROW()","v":1041}]
[null,"Factor (ratio)",null,null,null,null,{"$f":"G1041/G1040","v":0.92086711278634281},{"$f":"H1041/H1040","v":0.93372869074711695},null,null,null,null,null,null,{"$f":"ROW()","v":1042}]
[null,"Non-Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1043}]
[null,"Baseline VMT",null,null,null,null,{"$f":"SUM(I175:K175)+2/3*L175","v":12622179.523762176},{"$f":"N175","v":20361175.290017903},null,null,null,null,null,null,{"$f":"ROW()","v":1044}]
[null,"Equilibrium VMT",null,null,null,null,{"$f":"SUM(I996:K996)+2/3*L996","v":10054602.466933502},{"$f":"N996","v":17024597.323309142},null,null,null,null,null,null,{"$f":"ROW()","v":1045}]
[null,"Factor (ratio)",null,null,null,null,{"$f":"G1045/G1044","v":0.79658211547419189},{"$f":"H1045/H1044","v":0.83613038446044308},null,null,null,null,null,null,{"$f":"ROW()","v":1046}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1047}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1048}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1049}]
[null,null,null,null,null,null,"Graveyard","A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":1050}]
[null,"Vehicle Time Comparisons (all figures are per day)",null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,{"$f":"ROW()","v":1051}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1052}]
[null,"Within Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1053}]
[null,{"$f":"CONCATENATE(\"Motor v. hrs spent in cordon, before (calculated in Row \",O207, \")\")","v":"Motor v. hrs spent in cordon, before (calculated in Row 207)"},null,null,null,null,{"$f":"G207","v":21509.324559195331},4475.1694748015479,66660.771002912661,22266.690840313149,63258.259057392752,175688.80721873918,52935.96850372351,406794.9906570781,{"$f":"ROW()","v":1054}]
[null,{"$f":"CONCATENATE(\"Above, normalized to reflect VMT change (via factor in Row \",O969,\")\")","v":"Above, normalized to reflect VMT change (via factor in Row 969)"},null,null,null,null,{"$f":"G969*G1054","v":20083.949079213544},5407.6576035471498,58714.231560458837,20897.376525058113,59109.650621427827,163967.01162892467,49602.77002248021,{"$f":"SUM(G1055:M1055)","v":377782.64704111038},{"$f":"ROW()","v":1055}]
[null,{"$f":"CONCATENATE(\"M.V. hours in cordon, after (Row \",O968, \" fig. divided by Row \",O1011, \" fig.)\")","v":"M.V. hours in cordon, after (Row 968 fig. divided by Row 1011 fig.)"},null,null,null,null,{"$f":"G968/G1011","v":19705.531909112357},6247.916417869943,43024.740063069185,17750.395284612154,50953.427553673995,135012.67115773985,42651.334620853399,{"$f":"SUM(G1056:M1056)","v":315346.0170069309},{"$f":"ROW()","v":1056}]
[null,{"$f":"CONCATENATE(\"Saved m.v. hours in cordon (Row \",O1054, \" less Row \",O1055,\")\")","v":"Saved m.v. hours in cordon (Row 1054 less Row 1055)"},null,null,null,null,{"$f":"G1055-G1056","v":378.41717010118737},{"$f":"H1055-H1056","v":-840.25881432279311},15689.491497389652,3146.981240445959,8156.2230677538319,28954.340471184812,6951.4354016268117,{"$f":"SUM(G1057:M1057)","v":62436.630034179463},{"$f":"ROW()","v":1057}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1058}]
[null,"Outside Cordon (all VMT on cordon-bound roads, not just VMT from cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1059}]
[null,{"$f":"CONCATENATE(\"Motor v. hrs outside cordon, before (Row \",O184, \" div by Row \",O217, \")\")","v":"Motor v. hrs outside cordon, before (Row 184 div by Row 217)"},null,null,null,null,{"$f":"G184/G217","v":111990.4815360224},45180.228043883733,534594.24334133998,141946.84824274344,459124.77156853332,1261928.7659085172,277197.56746023538,{"$f":"SUM(G1060:M1060)","v":2831962.9061012752},{"$f":"ROW()","v":1060}]
[null,{"$f":"CONCATENATE(\"Above, normalized to reflect VMT change (via factor in Row \",O1005,\")\")","v":"Above, normalized to reflect VMT change (via factor in Row 1005)"},null,null,null,null,{"$f":"G1005*G1060","v":105594.9057019277},47950.475376267656,508405.23235134198,137366.92173459096,444137.289415957,1226988.4104292409,272107.73709990893,{"$f":"SUM(G1061:M1061)","v":2742550.9721092349},{"$f":"ROW()","v":1061}]
[null,{"$f":"CONCATENATE(\"M.V. hrs outside cordon, after (R \",O1000, \" miles div. by R \",O1015, \" speed)\")","v":"M.V. hrs outside cordon, after (R 1000 miles div. by R 1015 speed)"},null,null,null,null,{"$f":"G1000/G1015","v":105594.90570192771},51593.07638451449,461969.70337174833,129457.36753714313,419790.47669100226,1156612.3734111858,264165.77696792025,{"$f":"SUM(G1062:M1062)","v":2589183.6800654419},{"$f":"ROW()","v":1062}]
[null,{"$f":"CONCATENATE(\"Saved m.v. hours outside cordon (Row \",O1061, \" less Row \",O1062,\")\")","v":"Saved m.v. hours outside cordon (Row 1061 less Row 1062)"},null,null,null,null,{"$f":"G1061-G1062","v":0},-3642.6010082468347,46435.528979593655,7909.5541974478256,24346.81272495474,70376.037018055096,7941.960131988686,{"$f":"SUM(G1063:M1063)","v":153367.29204379316},{"$f":"ROW()","v":1063}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1064}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1065},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Revenue Calculations (weekdays only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1066}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1067}]
[null,"Weekday entries (exclude through-CBD return legs of through-trips)",null,null,null,null,{"$f":"P1068+Y1068+AH1068+AQ1068+AZ1068+BI1068","v":53900.225760189445},37253.251389860976,79397.109633037457,29913.476214307888,98934.70513011131,162409.30191080904,72377.320841671768,{"$f":"SUM(G1068:M1068)","v":534185.39087998786},{"$f":"ROW()","v":1068},{"$f":"P931","v":6634.5848960446092},23605.944879717368,41299.567946297197,12911.973209697417,36326.090177541351,37523.441246882168,13038.394884450339,{"$f":"SUM(P1068:V1068)","v":171339.99724063044},null,{"$f":"Y931","v":17032.778403975772},3618.5106619184526,9368.3864506434675,6771.5205170318404,26802.25962616067,55648.403893455717,22612.459506372536,{"$f":"SUM(Y1068:AE1068)","v":141854.31905955845},null,{"$f":"AH931","v":15096.363668598693},4996.5861657158912,7016.9998474119011,2622.3846173881734,11539.07184764581,22883.000933659132,14923.692921148231,{"$f":"SUM(AH1068:AN1068)","v":79078.100001567829},null,{"$f":"AQ931","v":2970.2068778820894},1180.6770913510961,7951.9345891626817,2166.2796167174542,7119.4008182752104,11644.882395341947,3859.0025779580374,{"$f":"SUM(AQ1068:AW1068)","v":36892.383966688518},null,{"$f":"AZ931","v":3747.0629278722113},3260.9188081008861,6218.4330897687387,2301.462557456955,7657.1699469231489,12044.499996927387,4815.7850482326421,{"$f":"SUM(AZ1068:BF1068)","v":40045.332375281963},null,{"$f":"BI931","v":8419.2289858160748},590.6137830572826,7541.7877097535065,3139.855696016054,9490.7127135651263,22665.07344454265,13127.98590350998,{"$f":"SUM(BI1068:BO1068)","v":64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O931, \". Includes medallion taxis as well as trucks, buses.\")","v":"Copied from Row 931. Includes medallion taxis as well as trucks, buses."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1069}]
[null,"Adjustments to reflect toll treatment of yellow cabs and UberLyfts",null,null,null,null,-11389.435863698163,-1771.2908744083788,-15493.722298916191,-5306.1353127335078,-16610.113531840339,-34309.955839884598,-16986.988481468019,{"$f":"SUM(G1070:M1070)","v":-101867.64220294921},{"$f":"ROW()","v":1070},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"-IF('Policy Levers'!$K124=\"NO\",AQ1068,0)","v":-2970.2068778820894},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AR1068,0)","v":-1180.6770913510961},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AS1068,0)","v":-7951.9345891626817},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AT1068,0)","v":-2166.2796167174542},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AU1068,0)","v":-7119.4008182752104},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AV1068,0)","v":-11644.882395341947},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AW1068,0)","v":-3859.0025779580374},{"$f":"SUM(AQ1070:AW1070)","v":-36892.383966688518},null,null,null,null,null,null,null,null,null,null,{"$f":"-IF('Policy Levers'!$K156=\"NO\",BI1068,0)","v":-8419.2289858160748},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BJ1068,0)","v":-590.6137830572826},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BK1068,0)","v":-7541.7877097535065},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BL1068,0)","v":-3139.855696016054},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BM1068,0)","v":-9490.7127135651263},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BN1068,0)","v":-22665.07344454265},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BO1068,0)","v":-13127.98590350998},{"$f":"SUM(BI1070:BO1070)","v":-64975.25823626067}]
[null,{"$f":"CONCATENATE(\"Uses separate 'IF' statements keyed to 'Yes' or 'No' specification of cordon toll for yellow cabs and for UberLyfts from Cells K\",'Policy Levers'!O124,\" and \",'Policy Levers'!O156, \" of 'Policy Levers', to deduct yellow-cab and/or UberLyft CBD entries; applies only to medallion taxi and UberLyft column-blocks.\")","v":"Uses separate 'IF' statements keyed to 'Yes' or 'No' specification of cordon toll for yellow cabs and for UberLyfts from Cells K124 and 156 of 'Policy Levers', to deduct yellow-cab and/or UberLyft CBD entries; applies only to medallion taxi and UberLyft column-blocks."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1071}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1072}]
[null,"Weekday entries, adjusted for toll treatment of yellow cabs + UberLyfts",null,null,null,null,{"$f":"P1073+Y1073+AH1073+AQ1073+AZ1073+BI1073","v":42510.789896491282},35481.960515452593,63903.387334121275,24607.340901574382,82324.59159827097,128099.34607092445,55390.332360203756,{"$f":"SUM(G1073:M1073)","v":432317.7486770387},{"$f":"ROW()","v":1073},{"$f":"P1068+P1070","v":6634.5848960446092},23605.944879717368,41299.567946297197,12911.973209697417,36326.090177541351,37523.441246882168,13038.394884450339,{"$f":"SUM(P1073:V1073)","v":171339.99724063044},null,{"$f":"Y1068+Y1070","v":17032.778403975772},3618.5106619184526,9368.3864506434675,6771.5205170318404,26802.25962616067,55648.403893455717,22612.459506372536,{"$f":"SUM(Y1073:AE1073)","v":141854.31905955845},null,{"$f":"AH1068+AH1070","v":15096.363668598693},4996.5861657158912,7016.9998474119011,2622.3846173881734,11539.07184764581,22883.000933659132,14923.692921148231,{"$f":"SUM(AH1073:AN1073)","v":79078.100001567829},null,{"$f":"AQ1068+AQ1070","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ1073:AW1073)","v":0},null,{"$f":"AZ1068+AZ1070","v":3747.0629278722113},3260.9188081008861,6218.4330897687387,2301.462557456955,7657.1699469231489,12044.499996927387,4815.7850482326421,{"$f":"SUM(AZ1073:BF1073)","v":40045.332375281963},null,{"$f":"BI1068+BI1070","v":0},0,0,0,0,0,0,{"$f":"SUM(BI1073:BO1073)","v":0}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O1066, \" (toll-paying vehicles) and \",O1070, \" (toll per trip).\")","v":"Sum of Rows 1066 (toll-paying vehicles) and 1070 (toll per trip)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1074}]
[null,"Of which exempt vehicles are",null,null,null,null,{"$f":"P1075+Y1075+AH1075+AQ1075+AZ1075+BI1075","v":1700.4315958596515},1419.2784206181038,2556.1354933648508,984.29363606297534,3292.9836639308387,5123.9738428369765,2215.6132944081501,{"$f":"SUM(G1075:M1075)","v":17292.709947081545},{"$f":"ROW()","v":1075},{"$f":"$K$330*P1073","v":265.38339584178436},944.23779518869469,1651.9827178518879,516.47892838789664,1453.0436071016541,1500.9376498752868,521.53579537801363,{"$f":"SUM(P1075:V1075)","v":6853.5998896252195},null,{"$f":"$K$330*Y1073","v":681.31113615903087},144.74042647673809,374.73545802573869,270.86082068127359,1072.0903850464269,2225.9361557382285,904.49838025490146,{"$f":"SUM(Y1075:AE1075)","v":5674.1727623823381},null,{"$f":"$K$330*AH1073","v":603.85454674394771},199.86344662863564,280.67999389647605,104.89538469552694,461.56287390583242,915.32003734636532,596.94771684592922,{"$f":"SUM(AH1075:AN1075)","v":3163.1240000627135},null,{"$f":"$K$330*AQ1073","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ1075:AW1075)","v":0},null,{"$f":"$K$330*AZ1073","v":149.88251711488846},130.43675232403544,248.73732359074955,92.058502298278199,306.28679787692596,481.77999987709546,192.6314019293057,{"$f":"SUM(AZ1075:BF1075)","v":1601.8132950112786},null,{"$f":"$K$330*BI1073","v":0},0,0,0,0,0,0,{"$f":"SUM(BI1075:BO1075)","v":0}]
[null,{"$f":"CONCATENATE(\"Calculated as product of (i) assumed percentage of exempt vehicles, from Cell K\",O371, \"; and (ii) 'surviving' volume of vehicles crossing into cordon from Row \",O1073, \".\")","v":"Calculated as product of (i) assumed percentage of exempt vehicles, from Cell K371; and (ii) 'surviving' volume of vehicles crossing into cordon from Row 1073."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1076}]
[null,"Which leaves the number of toll-paying vehicles as",null,null,null,null,{"$f":"P1077+Y1077+AH1077+AQ1077+AZ1077+BI1077","v":40810.358300631633},34062.68209483449,61347.25184075642,23623.047265511406,79031.607934340122,122975.37222808746,53174.719065795594,{"$f":"SUM(G1077:M1077)","v":415025.03872995713},{"$f":"ROW()","v":1077},{"$f":"P1073-P1075","v":6369.2015002028247},22661.707084528673,39647.585228445307,12395.49428130952,34873.046570439699,36022.503597006878,12516.859089072326,{"$f":"SUM(P1077:V1077)","v":164486.39735100523},null,{"$f":"Y1073-Y1075","v":16351.467267816741},3473.7702354417142,8993.6509926177296,6500.6596963505672,25730.169241114243,53422.467737717488,21707.961126117632,{"$f":"SUM(Y1077:AE1077)","v":136180.14629717614},null,{"$f":"AH1073-AH1075","v":14492.509121854746},{"$f":"AI1068-AI1075","v":4796.7227190872554},6736.3198535154252,2517.4892326926465,11077.508973739978,21967.680896312766,14326.745204302302,{"$f":"SUM(AH1077:AN1077)","v":75914.976001505129},null,{"$f":"AQ1073-AQ1075","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ1077:AW1077)","v":0},null,{"$f":"AZ1073-AZ1075","v":3597.180410757323},3130.4820557768508,5969.6957661779888,2209.4040551586768,7350.8831490462226,11562.719997050292,4623.1536463033362,{"$f":"SUM(AZ1077:BF1077)","v":38443.519080270686},null,{"$f":"BI1073-BI1075","v":0},0,0,0,0,0,0,{"$f":"SUM(BI1077:BO1077)","v":0}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O1073, \" and \",O1075, \".\")","v":"Difference between Rows 1073 and 1075."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1078}]
[null,"Of which toll-paying autos (work+non-work+thru) account for",null,null,null,null,{"$f":"P1077+Y1077+AH1077","v":37213.177889874307},30932.20003905764,55377.556074578461,21413.643210352733,71680.724785293918,111412.65223103714,48551.565419492261,{"$f":"SUM(G1079:M1079)","v":376581.51964968647},{"$f":"ROW()","v":1079}]
[null,{"$f":"CONCATENATE(\"Same note as Row \",O1078, \", except only first 3 column-blocks are summed.\")","v":"Same note as Row 1078, except only first 3 column-blocks are summed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1080}]
[null,"Toll Increment (i.e., cordon toll) per trip",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1081},{"$f":"P343","v":7.239285323067797E-6},7.239285323067797E-6,8.860885235434985,8.860885235434985,8.860885235434985,8.860885235434985,7.239285323067797E-6,null,null,{"$f":"Y343","v":7.2413952666419911E-6},7.2413952666419911E-6,8.8634678063697976,8.8634678063697976,8.8634678063697976,8.8634678063697976,7.2413952666419911E-6,null,null,{"$f":"AH343","v":7.1893925416355704E-6},7.1893925416355704E-6,8.7998164709619395,8.7998164709619395,8.7998164709619395,8.7998164709619395,7.1893925416355704E-6,null,null,{"$f":"AQ343","v":3.8062492059105699E-6},3.8062492059105699E-6,4.6588490280345374,4.6588490280345374,4.6588490280345374,4.6588490280345374,3.8062492059105699E-6,null,null,{"$f":"AZ343","v":1.7941456699885527E-5},1.7941456699885527E-5,21.960343000659886,21.960343000659886,21.960343000659886,21.960343000659886,1.7941456699885527E-5,null,null,{"$f":"BI343","v":3.792510084455391E-6},3.792510084455391E-6,4.6420323433733985,4.6420323433733985,4.6420323433733985,4.6420323433733985,3.792510084455391E-6]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O343, \".\")","v":"Copied from Row 343."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1082}]
[null,"Daily toll revenue, $000",null,null,null,null,{"$f":"P1083+Y1083+AH1083+AQ1083+AZ1083+BI1083","v":3.3324689818742628E-4},2.7986043762740821E-4,621.40258364166277,238.12615429559472,795.97255142687982,1239.9324505322327,4.33755747321339E-4,{"$f":"SUM(G1083:M1083)","v":2895.4347867594533},{"$f":"ROW()","v":1083},{"$f":"P1077*P1081/1000","v":4.6108466940079701E-5},1.6405456349268994E-4,351.31270257138124,109.83505226317432,309.00606347064576,319.19127026612188,9.0613114294429045E-5,{"$f":"SUM(P1083:V1083)","v":1089.3453893474677},null,{"$f":"Y1077*Y1081/1000","v":1.184074376758196E-4},2.5154943340329466E-5,79.714936034793013,57.618387938768919,228.05852672106249,473.50832293008807,1.5719592694711656E-4,{"$f":"SUM(Y1083:AE1083)","v":838.90047438302042},null,{"$f":"AH1077*AH1081/1000","v":1.0419233699024798E-4},3.4485522540899811E-5,59.27837840063296,22.153443215318084,97.480045924345745,193.31156018020903,1.0300059511772415E-4,{"$f":"SUM(AH1083:AN1083)","v":372.22366939896045},null,{"$f":"AQ1077*AQ1081/1000","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ1083:AW1083)","v":0},null,{"$f":"AZ1077*AZ1081/1000","v":6.4538656581278941E-5},5.6165408253488993E-5,131.09656663485575,48.519270878333415,161.42791531082591,253.92129715581345,8.2946110962069192E-5,{"$f":"SUM(AZ1083:BF1083)","v":594.96525363000433},null,{"$f":"BI1077*BI1081/1000","v":0},0,0,0,0,0,0,{"$f":"SUM(BI1083:BO1083)","v":0}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O1077, \" (toll-paying vehicles) and \",O1081, \" (toll per trip).\")","v":"Product of Rows 1077 (toll-paying vehicles) and 1081 (toll per trip)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1084}]
[null,"Of which daily revenue from autos (work+non-work+thru) is , $000",null,null,null,null,{"$f":"P1083+Y1083+AH1083","v":2.687082416061473E-4},2.236950293739192E-4,490.30601700680722,189.60688341726132,634.54463611605399,986.01115337641886,3.5080963635926974E-4,{"$f":"SUM(G1085:M1085)","v":2300.4695331294488},{"$f":"ROW()","v":1085}]
[null,{"$f":"CONCATENATE(\"Same note as Row \",O1084, \", except only first 3 column-blocks are summed.\")","v":"Same note as Row 1084, except only first 3 column-blocks are summed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1086}]
[null,"Annual toll revenue, $000,000",null,null,null,null,null,null,null,null,null,{"$f":"L1083*weekday_per_yr/1000","v":309.98311263305817},null,{"$f":"W1087+AF1087+AO1087+AX1087+BG1087+BP1087","v":723.85869668986334},{"$f":"ROW()","v":1087},null,null,null,null,null,null,null,{"$f":"W1083*wkday_per_yr/1000","v":272.33634733686694},null,null,null,null,null,null,null,null,{"$f":"AF1083*wkday_per_yr/1000","v":209.72511859575511},null,null,null,null,null,null,null,null,{"$f":"AO1083*wkday_per_yr/1000","v":93.055917349740099},null,null,null,null,null,null,null,null,{"$f":"AX1083*wkday_per_yr/1000","v":0},null,null,null,null,null,null,null,null,{"$f":"BG1083*wkday_per_yr/1000","v":148.74131340750108},null,null,null,null,null,null,null,null,{"$f":"BP1083*wkday_per_yr/1000","v":0}]
[null,{"$f":"CONCATENATE(\"Cell N\",O1087, \" is product of Cell N\",O1085, \" and # weekdays in year. Similarly for Cell L\",O1087, \", which pertains to 2-8 pm peak and is used in Rows \",O1091, \"-\",O1097, \".\")","v":"Cell N1087 is product of Cell N1085 and # weekdays in year. Similarly for Cell L1087, which pertains to 2-8 pm peak and is used in Rows 1091-1097."},null,null,null,null,null,null,null,null,null,null,null,"Annual cordon toll revenue, wkdays, 10^6",{"$f":"ROW()","v":1088},null,null,null,null,null,null,null,"Cordon toll revenue, work trips, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll rev., non-work trips, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll revenue, thru trips, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll revenue, FHVs, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll revenue, truck trips, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll revenue, bus trips, wkdays, 10^6"]
[null,"Average prior toll for autos + trucks + buses (but excluding medallion taxicabs)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"(W1068*W273+AF1068*AF273+AO1068*AO273+BG1068*BG273+BP1068*BP273)/(W1068+AF1068+AO1068+BG1068+BP1068)","v":3.1061961804617537},{"$f":"ROW()","v":1089},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figure in Row \",O1087, \" above is taken from 'Taxis' tab, Row \",O705, \", rather than derived in this worksheet.\")","v":"Figure in Row 1087 above is taken from 'Taxis' tab, Row 705, rather than derived in this worksheet."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1090}]
[null,"Rough estimation of revenue loss from switching advent of weekday off-peak toll to 6 pm, from 8 pm as programmed here",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1091}]
[null,"Share of 2-8 pm inbound traffic entering during 6-8 pm",null,null,null,null,null,null,null,null,null,{"$f":"SUM('Weekday Hours'!D53:D54)/SUM('Weekday Hours'!D49:D54)","v":0.31822051254652634},null,null,{"$f":"ROW()","v":1092}]
[null,"Ratio of applicable hour-by-hour rows from 'Weekday Hours' worksheet tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1093}]
[null,"Percentage reduction from peak toll rate to off-peak toll rate",null,null,null,null,null,null,null,null,null,{"$f":"('Policy Levers'!K33-'Policy Levers'!K31)/'Policy Levers'!K33","v":0.99999918300653601},null,null,{"$f":"ROW()","v":1094}]
[null,{"$f":"CONCATENATE(\"Ratio of difference between respective toll rates (difference between 'Policy Levers' tab Rows \",'Policy Levers'!O33, \" and \",'Policy Levers'!O31, \") to peak toll rate ('Policy Levers' tab Row \",'Policy Levers'!O33, \").\")","v":"Ratio of difference between respective toll rates (difference between 'Policy Levers' tab Rows 33 and 31) to peak toll rate ('Policy Levers' tab Row 33)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1095}]
[null,"Estimated revenue loss",null,null,null,null,null,null,null,null,null,{"$f":"L1092*L1094*L1087","v":98.642904392185372},"million per year",null,{"$f":"ROW()","v":1096}]
[null,{"$f":"CONCATENATE(\"Product of (i) percentage in Row \",O1092, \"; (ii) percentage in Row \",O1094, \"; and (iii) annual revenue in millions for this time slot in Row \",O1087, \".\")","v":"Product of (i) percentage in Row 1092; (ii) percentage in Row 1094; and (iii) annual revenue in millions for this time slot in Row 1087."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1097}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1098}]
[null,{"$f":"CONCATENATE(\"Graph starting in Row \",O1040, \", enlarged.\")","v":"Graph starting in Row 1040, enlarged."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1099}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1104}]
[null,1,{"$f":"L$1028","v":-116586.8384360472},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1105}]
[null,2,{"$f":"L$1029","v":74927.391235686955},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1106}]
[null,3,{"$f":"L$1030","v":-56744.010244179051},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1107}]
[null,4,{"$f":"L$1031","v":40928.912421128247},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1108}]
[null,5,{"$f":"L$1032","v":-24382.11251230468},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1109}]
[null,6,{"$f":"L$1033","v":3101.2880725505529},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1110}]
[null,7,{"$f":"L$1034","v":-511.63146423629951},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1111}]
[null,8,{"$f":"L$1035","v":35.962405639584176},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1112}]
[null,9,{"$f":"L$1036","v":16.429401749745011},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1113}]
[null,10,{"$f":"L$1037","v":-30.029522858210839},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1114}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1132}]
[null,"Baseline",{"$f":"N139","v":613400},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1133}]
[null,"Price Elasticity",{"$f":"K$1028","v":496813.1615639528},{"$f":"L$1028","v":-116586.8384360472},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1134}]
[null,"Time Elasticity",{"$f":"K$1029","v":571740.55279963976},{"$f":"L$1029","v":74927.391235686955},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1135}]
[null,"Time Elasticity",{"$f":"K$1030","v":514996.54255546071},{"$f":"L$1030","v":-56744.010244179051},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1136}]
[null,"Time Elasticity",{"$f":"K$1031","v":555925.45497658895},{"$f":"L$1031","v":40928.912421128247},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1137}]
[null,"Time Elasticity",{"$f":"K$1032","v":531543.34246428427},{"$f":"L$1032","v":-24382.11251230468},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1138}]
[null,"Time Elasticity",{"$f":"K$1033","v":534644.63053683483},{"$f":"L$1033","v":3101.2880725505529},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1139}]
[null,"Time Elasticity",{"$f":"K$1034","v":534132.99907259853},{"$f":"L$1034","v":-511.63146423629951},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1140}]
[null,"Time Elasticity",{"$f":"K$1035","v":534168.96147823811},{"$f":"L$1035","v":35.962405639584176},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1141}]
[null,"Time Elasticity",{"$f":"K$1036","v":534185.39087998786},{"$f":"L$1036","v":16.429401749745011},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1142}]
[null,"Equilibrium",{"$f":"K$1037","v":534155.36135712964},{"$f":"L$1037","v":-30.029522858210839},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1150}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1157}]
[null,{"$f":"CONCATENATE(\"Next graph compiles time-period-switching results starting in Row \",O424, \" for copying to our forthcoming slide presentation.\")","v":"Next graph compiles time-period-switching results starting in Row 424 for copying to our forthcoming slide presentation."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1158}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1159}]
[null,null,null,null,null,null,{"$f":"G190","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",{"$f":"ROW()","v":1160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1161}]
[null,{"$f":"B139","v":"Daily cordon auto entries (figures are vehicles, not persons)"},null,null,null,null,{"$f":"G139","v":57988.150027728931},22558.102555129055,116421.5799746744,35208.90707473355,116924.75895072815,192138.60079629658,72159.900620709304,613400,{"$f":"ROW()","v":1162}]
[null,"Loss to other time periods",null,null,null,null,{"$f":"-G429","v":1.1519378031923424E-12},-2.0600831321413281E-13,-18439.633937322164,-1.6147274354210139E-13,3.3350934040023354E-13,-2758.5624666064518,-9.5308603642526263E-13,-21198.196403928614,{"$f":"ROW()","v":1163}]
[null,"Gain from other time periods",null,null,null,null,{"$f":"G432","v":1.1590943496393954E-12},18439.633937322164,-5.6532551653071795E-13,-3.3350934040023354E-13,7.2679826007281934E-13,0,2758.5624666064509,21198.196403928614,{"$f":"ROW()","v":1164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1165}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1192}]
[null,"Speed Changes, with some time periods consolidated, for presentation purposes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1194}]
[null,null,null,null,null,null,"'New Period'","(Deliberately left blank)","'New Period'","'New Period'",null,null,null,null,{"$f":"ROW()","v":1195}]
[null,null,null,null,null,null,"11 pm - 6 am",null,"6 am - 10 am","9 am - 2 pm",null,null,null,null,{"$f":"ROW()","v":1196}]
[null,"Speeds (w/o non-cordon VMT correction in Part M)",null,null,null,null,null,null,"Use only one of these 2 cols, since they overlap at 9-10 am",null,null,null,null,null,{"$f":"ROW()","v":1197}]
[null,"(Calculated using reciprocals of speeds, for math-appropriate weighting using harmonic means.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1198}]
[null,"Baseline",null,null,null,null,{"$f":"(G164+H164)/(G164*G202+H164*H202)","v":20.049447119559009},null,{"$f":"(I164+J164)/(I164*I202+J164*J202)","v":7.2317727538540524},{"$f":"(J164+K164)/(J164*J202+K164*K202)","v":8.7041839261026581},null,null,null,null,{"$f":"ROW()","v":1199}]
[null,"With Pricing",null,null,null,null,{"$f":"(G968+H968)/(G968*G1019+H968*H1019)","v":19.642038616219143},null,{"$f":"(I968+J968)/(I968*I1019+J968*J1019)","v":9.4729935564239813},{"$f":"(J968+K968)/(J968*J1019+K968*K1019)","v":10.134242004659443},null,null,null,null,{"$f":"ROW()","v":1200}]
[null,"Increase",null,null,null,null,{"$f":"G1200/G1199-1","v":-2.032018643259359E-2},null,{"$f":"I1200/I1199-1","v":0.30991305712358108},{"$f":"J1200/J1199-1","v":0.16429548027681684},null,null,null,null,{"$f":"ROW()","v":1201}]

{"sheet":"Motor Vs 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[null,"Motor Vs (Weekends)",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,"This worksheet has 68 columns and extends to Column BP. \nA flow-chart diagram is included below.\nSee prior worksheet tab (Data Flow) for further explanation."]
[null,"Worksheet Concept\nThis worksheet parallels the preceding one, Motor Vs, which covers weekdays. As noted there, motor vehicle traffic is divided into six groups:\n(1) auto trips for work purposes                                                                              (2) auto trips for non-work purposes\n(3) \"through-trips\" that pass through the CBD charging zone                                 (4) medallion taxi trips\n(5) truck and bus trips                                                                                              (6) Uber/Lyft (and other app-based for-hire vehicle) trips. \nTrips in each group are subdivided into seven periods accounting for all 24 hours of a typical Saturday, Sunday and Holiday (those three days or types of day have been averaged together). Each period is assigned its own toll rate (selected in Policy Levers worksheet). Toll-caused changes in the number of vehicle entries into the CBD (due to trip elimination and/or time-switching) are estimated using elasticity values (compiled in Elasticities worksheet). The reductions in traffic volumes and consequent higher travel speeds \"re-attract\" some trips, but these in turn cause a partial return of traffic congestion which then provokes reductions in traffic volumes. The worksheet iterates this process until the oscillations become minimal.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Cell entries in skinny column to right are reference \"markers\" used to identify row numbers to aid in explaining formulae. Feel free to ignore them.",{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Worksheet Architecture\nThere are seven \"column blocks\":\nThis summary one (Columns B through N) aggregates the six subsequent blocks\nAuto Work Trips in columns P-W\nAuto Non-Work Trips in columns Y-AF\nAuto Through-Trips in columns AH-AO\nMedallion Taxi Trips in columns AQ-AX\nTruck and Bus Trips in columns AZ-BG\nUber/Lyft Trips in columns BI-BP.\nEach block has eight columns -- six for the different time periods, a blank seventh column inherited from the Motor Vs worksheet template, and a totals column. In most rows, the trip blocks feed data (e.g., number of vehicles entering the cordon in each period) to the summary block. In some rows, however, the summary column block sends data (e.g., traffic speeds) to the six trip blocks. There are over 1,000 rows, but the basic \"action\" takes place within the first several hundred; all subsequent rows simply carry out the traffic iteration noted in the previous paragraph, except for the summary results that occupy the last section (from approximately Row 930 onward).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"All trip and VMT numbers are vehicles w/o regard to number of passengers. ",null,null,null,null,null,null,"Trip figures in this section are one-half of combined trips into and out of CBD.",null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O34, \" factors 'shrink' weekday trip amounts. Taxicab figures is informed by data in 'Taxis' tab, Row \",Taxis!O286, \". UberLyft factor is assumed same as Taxis.\")","v":"Row 34 factors 'shrink' weekday trip amounts. Taxicab figures is informed by data in 'Taxis' tab, Row 286. UberLyft factor is assumed same as Taxis."},null,{"$f":"ROW()","v":28}]
[null,"A. Current (\"baseline\") weekday motor-traffic volumes into, within and out of the Manhattan CBD, separated into trip types: (1) auto trips for work purposes, (2) auto trips for non-work purposes, (3) \"through-trips\" that pass through the charging zone, (4) medallion taxi trips, (5) truck and bus trips (which we combined in late 2017, to make room for (6) Uber/Lyft trips).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Breakout of m.v. trips into, within, and out of the Manhattan CBD",null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,"Fig. underneath includes Uber/Lyft. Apologies for unclear config.",null,null,null,null,0.98,0.4,0.98,{"$f":"ROW()","v":34}]
[null,"Daily motor vehicle trips into \"Hub\" as defined by NYMTC",null,null,null,null,null,{"$f":"ROUND(Weekends!$L$21*'Motor Vs'!H35,-3)","v":609000},{"$f":"H35-M35","v":590500},null,null,null,{"$f":"ROUND(M34*'Motor Vs'!M35,-2)","v":18500},{"$f":"ROUND(N34*'Motor Vs'!N35,-2)","v":53800},{"$f":"ROW()","v":35}]
[null,"Total shrinks Motor Vs total by wknd/wkday ratio drawn from Triboro Bridge & Queens Midtown Tunnel volumes in Weekends worksheet. Truck and Bus figures similarly shrink figures from Motor Vs but apply factors at right, estimated by Komanoff. Balance yields remaining figure (autos + taxicabs + Uber/Lyft). Figures are rounded.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Medallion taxi trips require special treatment. For one thing, our analysis of baseline travel conditions indicates that each of the \",Taxis!L180, \" medallion taxicabs enters the CBD around \",ROUND(L44/Taxis!L180,0), \" times per weekend day, on average (producing the estimated \",L44, \" cordon-entering trips attributed to medallion taxis shown in Cell L\",$O44, \" of this worksheet).\")","v":"Medallion taxi trips require special treatment. For one thing, our analysis of baseline travel conditions indicates that each of the 13587 medallion taxicabs enters the CBD around 2 times per weekend day, on average (producing the estimated 30300 cordon-entering trips attributed to medallion taxis shown in Cell L44 of this worksheet)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Trips by app-based for-hire vehicles (denoted as 'UberLyft') require special treatment. For one thing, our analysis of baseline travel \" & \"conditions indicates that each UberLyft vehicle enters the CBD around \",ROUND(N44/UberLyft!L326,1), \" times per weekday, on average (producing the estimated \",AD44, \" cordon-entering trips attributed to medallion taxis shown in Cell N\",$O44, \" of this worksheet).\")","v":"Trips by app-based for-hire vehicles (denoted as 'UberLyft') require special treatment. For one thing, our analysis of baseline travel conditions indicates that each UberLyft vehicle enters the CBD around 7.3 times per weekday, on average (producing the estimated  cordon-entering trips attributed to medallion taxis shown in Cell N44 of this worksheet)."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Daily motor vehicle cordon-crossing trips, i.e., trips into CBD",null,null,null,null,null,{"$f":"ROUND(Weekends!$L$21*'Motor Vs'!H39,-3)","v":595000},{"$f":"H39-M39-N39","v":522700},null,null,null,{"$f":"M35","v":18500},{"$f":"N35","v":53800},{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Cell H\",O39, \" differs from Cell H\",O35, \" by (one-half of) auto trips entering Manhattan via the Queensboro Bridge upper roadway, which cross into Manhattan at 62nd Street, outside the CBD. This reduction is done by applying the weekend/weekday ratio of trips from Cell L\",Weekends!X21, \" of 'Weekends' worksheet to Cell H\",O39,\" in 'Motor Vs' worksheet. Truck and bus figures in Row \",O39, \" are same as in Row \",O35, \" because QBB upper roadway is reserved for autos. Note that the 'one-half' is to average outbound (which doesn't have the upper roadway flyover) with inbound (which does).\" )","v":"Cell H39 differs from Cell H35 by (one-half of) auto trips entering Manhattan via the Queensboro Bridge upper roadway, which cross into Manhattan at 62nd Street, outside the CBD. This reduction is done by applying the weekend/weekday ratio of trips from Cell L21 of 'Weekends' worksheet to Cell H39 in 'Motor Vs' worksheet. Truck and bus figures in Row 39 are same as in Row 35 because QBB upper roadway is reserved for autos. Note that the 'one-half' is to average outbound (which doesn't have the upper roadway flyover) with inbound (which does)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Also, medallion taxis cover far more ground within the CBD than other vehicles. Data reported in Rows \",Taxis!$O683, \"-\",Taxis!$O686, \" of the 'Taxis' worksheet indicate that the average medallion taxi logs more than \", ROUNDDOWN('Motor Vs'!$L118/Taxis!$L180/(2*'Motor Vs'!$I99),-1), \" times as many miles driven within the CBD as the average private auto.\")","v":"Also, medallion taxis cover far more ground within the CBD than other vehicles. Data reported in Rows 683-686 of the 'Taxis' worksheet indicate that the average medallion taxi logs more than 10 times as many miles driven within the CBD as the average private auto."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Also, FHV's cover far more ground within the CBD than other vehicles. Data reported in Rows \",Taxis!$O683, \"-\",Taxis!$O686, \" of the 'Taxis' worksheet indicate that the average medallion taxi logs more than \", ROUNDDOWN('Motor Vs'!$L118/Taxis!$L180/(2*'Motor Vs'!$I99),-1), \" times as many miles driven within the CBD as the average private auto. The same is true, albeit to a lesser extent, for app-based FHV's.\")","v":"Also, FHV's cover far more ground within the CBD than other vehicles. Data reported in Rows 683-686 of the 'Taxis' worksheet indicate that the average medallion taxi logs more than 10 times as many miles driven within the CBD as the average private auto. The same is true, albeit to a lesser extent, for app-based FHV's."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Taxis shown separately",null,null,null,null,null,{"$f":"SUM(I44:N44)","v":595000},{"$f":"I39-L44","v":492400},null,null,{"$f":"ROUND(Taxis!M244,-2)","v":30300},{"$f":"M35","v":18500},{"$f":"N35","v":53800},{"$f":"ROW()","v":44},null,"Note: Taxi trips are handled somewhat differently. See note at top of that column-block."]
[null,{"$f":"CONCATENATE(\"Taxicab cordon entries are derived in 'Taxis' worksheet; figure here is rounded from figure in Cell N\",Taxis!O244, \". Combined figure for auto-work, non-work and through-trips is all auto minus taxis.\")","v":"Taxicab cordon entries are derived in 'Taxis' worksheet; figure here is rounded from figure in Cell N244. Combined figure for auto-work, non-work and through-trips is all auto minus taxis."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"These special factors are accommodated via additional and/or special data elements beginning in Row \",$O377, \".\")","v":"These special factors are accommodated via additional and/or special data elements beginning in Row 377."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"These special factors are accommodated via additional and/or special data elements beginning in Row \",$O402, \".\")","v":"These special factors are accommodated via additional and/or special data elements beginning in Row 402."}]
[null,"Through-trip % of all entries (%'s show share of each mode's trips that are est'd to be through-trips):",null,null,null,null,null,null,{"$f":"1.1*'Motor Vs'!I46:J46","v":0.35200000000000004},null,{"$f":"'Motor Vs'!K46","v":"N.A."},{"$f":"'Motor Vs'!L46","v":0},{"$f":"1.1*'Motor Vs'!M46","v":0.29700000000000004},{"$f":"1.1*'Motor Vs'!N46","v":0},{"$f":"ROW()","v":46}]
[null,"Applies %'s from Motor Vs tab except that thru-trips' % of auto, truck % bus trips is incrs'd 10% from Schaller weekday % on premise that weekend travel has more long trips that pass through CBD.",null,null,null,null,null,null," (%'s show share of trips that are est'd to be parts of through-trips)",null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,"Truck % is assumed to be same as auto. Medallion taxi % is probably de minimis.",null,null,null,null,null,{"$f":"ROW()","v":48},{"$f":"P$130","v":"AUTO TRIPS FOR WORK"},null,null,null,null,null,null,null,null,{"$f":"Y$130","v":"AUTO TRIPS FOR NON-WORK"},null,null,null,null,null,null,null,null,{"$f":"AH$130","v":"THROUGH-TRIPS (AUTOS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"AQ$130","v":"TAXICABS (MEDALLION TAXIS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"AZ$130","v":"TRUCKS & BUSES"},null,null,null,null,null,null,null,null,{"$f":"BI$130","v":"UBERLYFT"}]
[null,"% of all entries that aren't part of a through-trip ",null,null,null,null,null,null,{"$f":"1-I46","v":0.64799999999999991},null,null,{"$f":"1-L46","v":1},{"$f":"1-M46","v":0.70299999999999996},{"$f":"1-N46","v":1},{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"Complements of percentages in Row \",O46, \".\")","v":"Complements of percentages in Row 46."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Auto, Taxi, Truck, Bus & UberLyft Trips that aren't part of a through-trip",null,null,null,null,null,{"$f":"H44","v":595000},{"$f":"I44*I49","v":319075.19999999995},null,{"$f":"H51-I51-SUM(L51:N51)","v":178819.30000000005},{"$f":"L44*L49","v":30300},{"$f":"M44*M49","v":13005.5},{"$f":"N44*N49","v":53800},{"$f":"ROW()","v":51}]
[null,{"$f":"CONCATENATE(\"Total is same as Row \",O44, \". Items are product of Row \",O44, \" and %'s in Row \",O49, \". Thru trips are remainder.\")","v":"Total is same as Row 44. Items are product of Row 44 and %'s in Row 49. Thru trips are remainder."},null,null,null,null,null,null,"Doesn't include through trips",null,"Thru Trips","Doesn't include through trips",null,null,{"$f":"ROW()","v":52}]
[null,"Percent of (non-taxi) auto trips that are work trips ",null,null,null,null,null,null,0.25,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate. Is far less than \",ROUND('Motor Vs'!I53,2)*100, \"% figure for weekdays.\")","v":"Komanoff estimate. Is far less than 59% figure for weekdays."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Daily m.v. entries to cordon, with non-thru auto trips allocated to work/non-work",null,null,null,null,null,{"$f":"SUM(I55:N55)","v":595000},{"$f":"I53*I51","v":79768.799999999988},{"$f":"(1-I53)*I51","v":239306.39999999997},{"$f":"K51","v":178819.30000000005},{"$f":"L51","v":30300},{"$f":"M51","v":13005.5},{"$f":"N51","v":53800},{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Auto work and non-work multiply Cell I\",O53, \" or its complement by Cell I\",O51, \".\")","v":"Auto work and non-work multiply Cell I53 or its complement by Cell I51."},null,null,null,null,null,null,"Doesn't include through trips",null,"Thru Trips","Doesn't include through trips",null,null,{"$f":"ROW()","v":56}]
[null,"% of through-trips that return through cordon",null,null,null,0.1,"less than weekday %'s",null,{"$f":"'Motor Vs'!I57:J57-'Motor Vs Weekends'!F57","v":0.70000000000000007},null,null,1,{"$f":"'Motor Vs'!M57-'Motor Vs Weekends'!$F$57","v":0.70000000000000007},{"$f":"'Motor Vs'!N57-'Motor Vs Weekends'!$F$57","v":0.8},{"$f":"ROW()","v":57}]
[null,"Komanoff assumption, premised on through-trips' lesser propensity than non-through trips to follow the same routes, due to assumed greater mileage and wider geographical scope for weekend travel.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"% of through-trip segments that are part of a round-trip that goes thru cordon twice",null,null,null,null,null,null,{"$f":"I57/(100%-(100%-I57)/2)","v":0.82352941176470584},null,null,{"$f":"L57/(100%-(100%-L57)/2)","v":1},{"$f":"M57/(100%-(100%-M57)/2)","v":0.82352941176470584},{"$f":"N57/(100%-(100%-N57)/2)","v":0.88888888888888895},{"$f":"ROW()","v":59}]
[null,{"$f":"CONCATENATE(\"Explanation for figures in Row \",O59, \": If \",I57*100, \"% of auto through-trips return through cordon, then \",I57*100/2, \"% of all through-trips are the start of a round-trip through cordon that returns through cordon, and another \",I57*100/2, \"% are the end of such a trip. Then for each \",I57*100/2, \" through-cordon round-trips (w/ \",I57*100, \" one-way segments, all through the cordon), there must be \",50-I57*100/2, \" through-cordon trips (the difference between 50 and \",I57*100/2, \"), that return w/o passing through the cordon. Then, \",I57*100, \" out of every \",I57*100+(50-I57*100/2), \" one-way segments through cordon were part of a round-trip through cordon.\")","v":"Explanation for figures in Row 59: If 70% of auto through-trips return through cordon, then 35% of all through-trips are the start of a round-trip through cordon that returns through cordon, and another 35% are the end of such a trip. Then for each 35 through-cordon round-trips (w/ 70 one-way segments, all through the cordon), there must be 15 through-cordon trips (the difference between 50 and 35), that return w/o passing through the cordon. Then, 70 out of every 85 one-way segments through cordon were part of a round-trip through cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Trips that pass through cordon, distrib'd among auto, taxi, Uber/Lyft, truck/bus",null,null,null,null,null,{"$f":"SUM(I63:N63)","v":178819.30000000005},{"$f":"K51-SUM(L63:N63)","v":173324.80000000005},null,null,{"$f":"L44*L46","v":0},{"$f":"M44*M46","v":5494.5000000000009},{"$f":"N44*N46","v":0},{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Taxi, truck, bus figures are products of percents in Row \",O46, \" and entries in Row \",O44, \". Combined auto figure is difference between sum of those figures and figure in Cell K\",O51, \".\")","v":"Taxi, truck, bus figures are products of percents in Row 46 and entries in Row 44. Combined auto figure is difference between sum of those figures and figure in Cell K51."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"# of above through-trip segments that are part of a round-trip that goes thru cordon twice",null,null,null,null,null,null,{"$f":"I59*I63","v":142738.07058823534},null,null,{"$f":"L59*L63","v":0},{"$f":"M59*M63","v":4524.8823529411766},{"$f":"N59*N63","v":0},{"$f":"ROW()","v":65}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O59, \" and \",O63, \".\")","v":"Product of Rows 59 and 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"# of round-trips that go through cordon both times",null,null,null,null,null,null,{"$f":"I65/2","v":71369.035294117668},null,null,{"$f":"L65/2","v":0},{"$f":"M65/2","v":2262.4411764705883},{"$f":"N65/2","v":0},{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"One-half of Row \",O65, \".\")","v":"One-half of Row 65."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"# of cordon-crossing through trips that go through cordon only once",null,null,null,null,null,null,{"$f":"I63-I65","v":30586.729411764711},null,null,{"$f":"L63-L65","v":0},{"$f":"M63-M65","v":969.61764705882433},{"$f":"N63-N65","v":0},{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O63, \" and \",O65, \". Could also be calculated as product of Row \",O63, \" and complements of Row \",O59, \".\")","v":"Difference between Rows 63 and 65. Could also be calculated as product of Row 63 and complements of Row 59."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"No. drivers taking thru-trips (i.e., # of cordon-x'ing trips that include at least one thru-trip)",null,null,null,null,null,null,{"$f":"I67+I69","v":101955.76470588238},null,{"$f":"CONCATENATE(\"Ratio of Cell I\",O71, \" to I\",O51, \".\")","v":"Ratio of Cell I71 to I51."},{"$f":"L67+L69","v":0},{"$f":"M67+M69","v":3232.0588235294126},{"$f":"N67+N69","v":0},{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O67, \" and \",O69, \". Could also be calculated as \",O63, \" divided by sum of 1 and percentage in Row \",O57, \".\")","v":"Sum of Rows 67 and 69. Could also be calculated as 63 divided by sum of 1 and percentage in Row 57."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Drivers of auto thru-trips allocated between work and non-work",null,null,null,null,null,null,{"$f":"I53*$I$71","v":25488.941176470595},{"$f":"(1-I53)*$I$71","v":76466.823529411777},{"$f":"I71/I51","v":0.31953522149600594},"Percent by which auto through-trips add to auto trips w/ CBD destination",null,null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"Assumes same split as shown in Cell I\",O53, \". Thus, auto work and non-work multiply Cell I\",O53, \" or its complement by Cell I\",O71, \".\")","v":"Assumes same split as shown in Cell I53. Thus, auto work and non-work multiply Cell I53 or its complement by Cell I71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"}]
[null,"Complete breakout of trips ",null,null,null,"How items in row calc'd",null,{"$f":"H33","v":"Total"},"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":75}]
[null,"Trips that aren't part of a through-trip",null,null,null,{"$f":"CONCATENATE(\"From Row \",O55, \".\")","v":"From Row 55."},null,{"$f":"SUM(I76:N76)","v":416180.69999999995},{"$f":"I55","v":79768.799999999988},{"$f":"J55","v":239306.39999999997},null,{"$f":"L55","v":30300},{"$f":"M55","v":13005.5},{"$f":"N55","v":53800},{"$f":"ROW()","v":76}]
[null,"Trips that include 1 or 2 through-trips",null,null,null,{"$f":"CONCATENATE(\"From Rows \",O73, \" and \",O71, \".\")","v":"From Rows 73 and 71."},null,{"$f":"SUM(I77:N77)","v":105187.82352941179},{"$f":"I73","v":25488.941176470595},{"$f":"J73","v":76466.823529411777},null,{"$f":"L71","v":0},{"$f":"M71","v":3232.0588235294126},{"$f":"N71","v":0},{"$f":"ROW()","v":77}]
[null,"Cordon-crossing trips that are part of through-trips",null,null,null,{"$f":"CONCATENATE(\"Row \",O77, \" x (1+Row \",O57, \").\")","v":"Row 77 x (1+Row 57)."},null,{"$f":"SUM(I78:N78)","v":178819.30000000005},{"$f":"I77*(1+I57)","v":43331.200000000019},{"$f":"J77*(1+I57)","v":129993.60000000003},null,{"$f":"L77*(1+L57)","v":0},{"$f":"M77*(1+M57)","v":5494.5000000000018},{"$f":"N77*(1+N57)","v":0},{"$f":"ROW()","v":78}]
[null,"Cordon-crossing trips",null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O76, \" and \",O78, \".\")","v":"Sum of Rows 76 and 78."},null,{"$f":"SUM(I79:N79)","v":595000},{"$f":"I76+I78","v":123100},{"$f":"J76+J78","v":369300},null,{"$f":"L76+L78","v":30300},{"$f":"M76+M78","v":18500},{"$f":"N76+N78","v":53800},{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,{"$f":"'Motor Vs'!H80","v":"Total"},{"$f":"'Motor Vs'!I80","v":"Auto Work"},{"$f":"'Motor Vs'!J80","v":"Auto Non-Wk"},{"$f":"'Motor Vs'!K80","v":"Auto Thru"},{"$f":"'Motor Vs'!L80","v":"Taxicab"},{"$f":"'Motor Vs'!M80","v":"Truck/Bus"},{"$f":"'Motor Vs'!N80","v":"Uber/Lyft"},{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,"Includes no thru-trips; only trips to cordon and back","Includes no thru-trips; only trips to cordon and back","Includes only thru-trips by auto, both 2-way and \"loop\" trips","Medallion taxicabs only; any thru-trips are de minimis","Includes thru-trips along with trips to cordon and back","Includes thru-trips along with trips to cordon and back",{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Must match # in Cell N\",O139, \".\")","v":"Must match # in Cell N139."},null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,{"$f":"CONCATENATE(\"Auto work, non-work and taxi are copied from Row \",O55,\". Auto thru is copied from Cell I\",O71,\". Truck and bus are sums of Rows \",O55, \" and \",O71, \".\")","v":"Auto work, non-work and taxi are copied from Row 55. Auto thru is copied from Cell I71. Truck and bus are sums of Rows 55 and 71."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"No. trips",null,null,null,null,null,{"$f":"SUM(I85:N85)","v":521400},{"$f":"ROUND(I55,-2)","v":79800},{"$f":"ROUND(J55,-2)","v":239300},{"$f":"ROUND(I71,-2)","v":102000},{"$f":"ROUND(L55,-2)","v":30300},{"$f":"ROUND(M55+M77,-2)","v":16200},{"$f":"ROUND(N55+N77,-2)","v":53800},{"$f":"ROW()","v":85}]
[null,"Cells in these three rows, to right, calculate or display ratios that will be used in this or other worksheets.",null,null,null,null,null,null,null,null,"% = work:",null,"% = thru:","% = thru:",{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"I53","v":0.25},null,{"$f":"M71/M85","v":0.19950980392156867},{"$f":"N71/N85","v":0},{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From Row \",O53, \".\")","v":"From Row 53."},null,{"$f":"CONCATENATE(\"Ratio of Rows \",O71, \" and \",O85, \".\")","v":"Ratio of Rows 71 and 85."},null,{"$f":"ROW()","v":88}]
[null,"Baseline reduxn (or incrs) of trips by user-specified amount ",null,null,null,null,{"$f":"'Policy Levers'!K259","v":0},{"$f":"H55*$G$89","v":0},{"$f":"I76*$G$89","v":0},{"$f":"J76*$G$89","v":0},{"$f":"K85*$G$89","v":0},{"$f":"L76*$G$89","v":0},{"$f":"M76*$G$89","v":0},{"$f":"N76*$G$89","v":0},{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O67, \" div by Row \",O85,\".\")","v":"Row 67 div by Row 85."},"% that cross cordon 2x",null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"M67/M85","v":0.13965686274509803},{"$f":"N67/N85","v":0},{"$f":"ROW()","v":91}]
[null,"Trip Distances for trips into cordon ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Non-CBD miles for average 1-way trip",null,null,null,null,null,null,{"$f":"Distances!$C$184","v":16.85690937641937},{"$f":"Distances!$C$184","v":16.85690937641937},{"$f":"$I$93*K95","v":25.285364064629057},{"$f":"'Motor Vs'!L93","v":6},{"$f":"$I$93*M95*M97","v":15.75769841083202},{"$f":"L93","v":6},{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Work and Non-work #'s are from 'Distances' tab, Row \",Distances!O$184, \". Taxicab # is same cell in 'Motor Vs'. Other #'s multiply Work figure by factors in Rows \",O95,\" and \",O97,\".\")","v":"Work and Non-work #'s are from 'Distances' tab, Row 184. Taxicab # is same cell in 'Motor Vs'. Other #'s multiply Work figure by factors in Rows 95 and 97."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Factors to estimate non-CBD miles for auto-thru trips, trucks and buses",null,null,null,null,null,null,null,null,1.5,null,{"$f":"'Motor Vs'!M95","v":0.85},null,{"$f":"ROW()","v":95}]
[null,"Komanoff ests. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Factors to further adjust non-CBD miles for any thru trips embedded in column (applies to trucks and buses)",null,null,null,null,null,null,null,null,null,null,{"$f":"$K$95*M87+1*(1-M87)","v":1.0997549019607842},null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Weighted sum of thru-trip factor in Cell K\",O95, \" and thru-trip %'s in Row \",O87, \".\")","v":"Weighted sum of thru-trip factor in Cell K95 and thru-trip %'s in Row 87."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"CBD miles for average trip (one way)",null,null,{"$f":"CONCATENATE(\"Row \",O99,\" multiplies corresp. #'s in 'Motor Vs' by factors in Row \",O100, \", est'd by Komanoff, except that # for auto thru-trips substitutes Cell I\",O57, \" factor here for factor in 'Motor Vs.'\")","v":"Row 99 multiplies corresp. #'s in 'Motor Vs' by factors in Row 100, est'd by Komanoff, except that # for auto thru-trips substitutes Cell I57 factor here for factor in 'Motor Vs.'"},null,null,null,{"$f":"'Motor Vs'!I99*I100","v":1.5},{"$f":"'Motor Vs'!J99*J100","v":1.5},{"$f":"'Motor Vs'!K99*K100*I57/'Motor Vs'!I57","v":1.4000000000000001},{"$f":"'Motor Vs'!L99*L100","v":1.5},{"$f":"'Motor Vs'!M99*M100","v":3},{"$f":"'Motor Vs'!N99*N100","v":1.5},{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,1.2,1.2,1,1,1,1,{"$f":"ROW()","v":100}]
[null,"Total distance (one way)",null,null,null,null,null,null,{"$f":"I93+I99","v":18.35690937641937},18.35690937641937,26.685364064629056,7.5,18.75769841083202,7.5,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Note: VMT figures below slightly understate true traffic volumes in CBD, since the figures they draw on exclude roughly \",ROUND(Weekends!$L$21*'Hub-Bound'!O95/1000,0), \",000 inbound trips that cross into CBD 'indirectly,' i.e., by breaching 60th St. cordon line after entering Manhattan \" & \"via QBB upper roadway, which enters Manhattan street system at 62nd St. The anomaly is small, however, since these account for only about \",ROUND(100*'Hub-Bound'!O95/'Hub-Bound'!O106,1), \"% of daily trips that cross in or out of the CBD.\")","v":"Note: VMT figures below slightly understate true traffic volumes in CBD, since the figures they draw on exclude roughly 10,000 inbound trips that cross into CBD 'indirectly,' i.e., by breaching 60th St. cordon line after entering Manhattan via QBB upper roadway, which enters Manhattan street system at 62nd St. The anomaly is small, however, since these account for only about 0.8% of daily trips that cross in or out of the CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$O$130,)","v":"Data will appear in this 'column block' after Row 130"}]
[null,null,null,null,null,null,null,"Total","Auto Work","Auto Non-Wk","Thru Trips",{"$f":"L33","v":"Taxicab"},{"$f":"M33","v":"Truck/Bus"},{"$f":"N33","v":"Uber/Lyft"},{"$f":"ROW()","v":107}]
[null,"Daily weekend cordon VMT of m.v. trips into and out of cordon",null,null,null,null,null,{"$f":"SUM(I108:N108)","v":1581037.5},{"$f":"2*I85*I99","v":239400},{"$f":"2*J85*J99","v":717900},{"$f":"2*K85*K99","v":285600},{"$f":"(1+Taxis!L228)*L85*L99","v":79537.5},{"$f":"2*M85*M99","v":97200},{"$f":"2*N85*N99","v":161400},{"$f":"ROW()","v":108}]
[null,"Calculated as product of cordon entries times cordon miles per entry. All figures are doubled to account for return journeys, except that taxicabs use an outgoing-trip factor less than one (see Taxis).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Percentage breakdown",null,null,null,null,null,{"$f":"SUM(I110:N110)","v":1},{"$f":"I108/$H$108","v":0.15141955835962145},0.4540689262588648,0.18064087663954839,5.030715590237423E-2,6.1478617679846304E-2,0.10208486515974478,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Estimated daily weekend VMT of all m.v. trips occuring entirely within cordon (i.e., trips that don't cross cordon)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Additional intra-cordon VMT, as a percentage of crossing-cordon VMT ",null,null,null,null,null,null,{"$f":"'Motor Vs'!I113","v":0.14285714285714285},{"$f":"'Motor Vs'!J113","v":0.14285714285714285},{"$f":"'Motor Vs'!K113","v":0},"N.A.",{"$f":"'Motor Vs'!M113","v":0.2},"N.A.",{"$f":"ROW()","v":113}]
[null,"Same as like percentages in Motor Vs worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Intra-Cordon VMT",null,null,null,null,null,{"$f":"SUM(I115:N115)","v":1503068.546759431},{"$f":"I$113*I108","v":34200},{"$f":"J$113*J108","v":102557.14285714286},{"$f":"K$113*K108","v":0},{"$f":"L118-L108","v":510435.42163078324},{"$f":"M$113*M108","v":19440},{"$f":"N118-N108","v":836435.98227150494},{"$f":"ROW()","v":115}]
[null,{"$f":"CONCATENATE(\"Products of percentages in row \",O113, \" and miles in row \",O108, \", except taxicab figure is from Taxis worksheet, Row \",Taxis!O486, \", and UberLyft figure is from UberLyft worksheet, Row \",UberLyft!O556, \".\")","v":"Products of percentages in row 113 and miles in row 108, except taxicab figure is from Taxis worksheet, Row 486, and UberLyft figure is from UberLyft worksheet, Row 556."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Total weekend VMT inside cordon ",null,null,{"$f":"CONCATENATE(\"(sum of VMT's in rows \",O108,\" and \",O115,\")\")","v":"(sum of VMT's in rows 108 and 115)"},null,null,{"$f":"SUM(I118:N118)","v":3084106.0467594308},{"$f":"I108+I115","v":273600},820457.14285714284,285600,{"$f":"Taxis!M107","v":589972.92163078324},116640,{"$f":"UberLyft!M251","v":997835.98227150494},{"$f":"ROW()","v":118}]
[null,"Categorized by type of vehicle and/or trip",null,null,null,null,null,{"$f":"SUM(I119:N119)","v":1},{"$f":"I118/$H$118","v":8.8712902815867925E-2},0.26602753939645607,9.2603819606037571E-2,0.1912946288765546,3.7819711200448955E-2,0.32354139810463495,{"$f":"ROW()","v":119}]
[null,"Total weekend VMT inside cordon as a % of weekday figure:",null,null,null,null,{"$f":"H118/'Motor Vs'!H118","v":0.95284191839666577},null,null,null,null,{"$f":"CONCATENATE(\"Cell L\",$O118, \" is copied from 'Taxis' tab, Cell M\",Taxis!O107, \". Cell L\",$O115, \" is calc'd as delta btw Cells L\",$O118, \" and L\",$O108, \".\")","v":"Cell L118 is copied from 'Taxis' tab, Cell M107. Cell L115 is calc'd as delta btw Cells L118 and L108."},null,{"$f":"CONCATENATE(\"Cell N\",$O118, \" is copied from 'UberLyft' tab, Cell M\",UberLyft!O251, \". Cell L\",$O115, \" is calc'd as delta btw Cells N\",$O118, \" and N\",$O108, \".\")","v":"Cell N118 is copied from 'UberLyft' tab, Cell M251. Cell L115 is calc'd as delta btw Cells N118 and N108."},{"$f":"ROW()","v":120}]
[null,{"$f":"CONCATENATE(\"Note: Figure above isn't as close as one would want to \",ROUND(Weekends!L21,2), \" ratio of weekend/weekday entries from 'Weekends' tab, Row \",Weekends!X21, \", and applied here, in Row \",O35, \", to prorate motor vehicle entries from weekday figure. Difference is mathematically attributable to lesser use of medallion taxicabs.\")","v":"Note: Figure above isn't as close as one would want to 0.85 ratio of weekend/weekday entries from 'Weekends' tab, Row 21, and applied here, in Row 35, to prorate motor vehicle entries from weekday figure. Difference is mathematically attributable to lesser use of medallion taxicabs."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"B. Baseline, cont'd: Our six trip types subdivided into six different weekend time periods; current travel speeds and trip costs specified and/or calculated for each of the 36 subdivisions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,"ALL MOTOR VEHICLE TRIPS",null,null,null,null,null,null,null,{"$f":"ROW()","v":130},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Note: Tolls in charging periods may be varied (in Policy Levers worksheet), but make-up of the periods, i.e., hours in each, is fixed.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":132},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":133},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Hours in period",null,null,null,null,10,2,5,3,2,2,0,{"$f":"SUM(G135:M135)","v":24},{"$f":"ROW()","v":135},10,2,5,3,2,2,0,{"$f":"SUM(P135:V135)","v":24},null,10,2,5,3,2,2,0,{"$f":"SUM(Y135:AE135)","v":24},null,10,2,5,3,2,2,0,{"$f":"SUM(AH135:AN135)","v":24},null,10,2,5,3,2,2,0,{"$f":"SUM(AQ135:AW135)","v":24},null,10,2,5,3,2,2,0,{"$f":"SUM(AZ135:BF135)","v":24},null,10,2,5,3,2,2,null,{"$f":"SUM(BI135:BO135)","v":24}]
[null,"Periods were drawn to group similar hourly volumes of vehicles entering CBD. See Weekend Hours worksheet. User may change by reprogramming that worksheet.",null,null,null,null,null,null,null,null,null,null,"Through-trips that return through CBD are counted only once.",null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},"Inbounds follow shape for inbound work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound non-work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound through trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Premise is that inbounds follow shape for work trips while outbounds follow shape for all trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all UberLyft trips; outbounds follow that shape as well."]
[null,"1. Baseline Auto Cordon Crossings, inbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Daily cordon auto entries (figures are vehicles, not persons)",null,null,null,null,{"$f":"P139+Y139+AH139+AQ139+AZ139+BI139","v":127489.90266965074},47184.565338184068,148630.17696970314,94888.587284235051,57632.547930779911,45574.21980744708,null,{"$f":"SUM(G139:M139)","v":521400},{"$f":"ROW()","v":139},{"$f":"$I$85*(SUM('Weekend Hours'!T33:T42))","v":24834.545945615122},{"$f":"$I$85*(SUM('Weekend Hours'!T43:T44))","v":8831.4623500247471},{"$f":"$I$85*SUM('Weekend Hours'!T45:T49)","v":23192.653928960244},{"$f":"$I$85*SUM('Weekend Hours'!T50:T52)","v":8743.6683928363709},{"$f":"$I$85*SUM('Weekend Hours'!T53:T54)","v":8796.1335230734458},{"$f":"$I$85*SUM('Weekend Hours'!T55:T56)","v":5401.5358594900508},null,{"$f":"SUM(P139:V139)","v":79799.999999999971},null,{"$f":"$J$85*(SUM('Weekend Hours'!U33:U42))","v":44345.630019054333},{"$f":"$J$85*(SUM('Weekend Hours'!U43:U44))","v":18765.020176665086},{"$f":"$J$85*SUM('Weekend Hours'!U45:U49)","v":72702.777301360402},{"$f":"$J$85*SUM('Weekend Hours'!U50:U52)","v":53393.665649944836},{"$f":"$J$85*SUM('Weekend Hours'!U53:U54)","v":27573.529903039827},{"$f":"$J$85*SUM('Weekend Hours'!U55:U56)","v":22519.376949935504},null,{"$f":"SUM(Y139:AE139)","v":239300},null,{"$f":"$K$85*(SUM('Weekend Hours'!V33:V42))","v":31588.679688986482},{"$f":"$K$85*(SUM('Weekend Hours'!V43:V44))","v":11233.313303621413},{"$f":"$K$85*SUM('Weekend Hours'!V45:V49)","v":26550.225074918857},{"$f":"$K$85*SUM('Weekend Hours'!V50:V52)","v":14828.856586727888},{"$f":"$K$85*SUM('Weekend Hours'!V53:V54)","v":10069.538636758714},{"$f":"$K$85*SUM('Weekend Hours'!V55:V56)","v":7729.3867089866635},null,{"$f":"SUM(AH139:AN139)","v":102000.00000000001},null,{"$f":"$L$85*(SUM('Weekend Hours'!D33:D42))","v":7255.7167675156952},{"$f":"$L$85*(SUM('Weekend Hours'!D43:D44))","v":2795.2382162065696},{"$f":"$L$85*SUM('Weekend Hours'!D45:D49)","v":8808.8232767885529},{"$f":"$L$85*SUM('Weekend Hours'!D50:D52)","v":5534.9012593424495},{"$f":"$L$85*SUM('Weekend Hours'!D53:D54)","v":3340.8675851036232},{"$f":"$L$85*SUM('Weekend Hours'!D55:D56)","v":2564.4528950431086},null,{"$f":"SUM(AQ139:AW139)","v":30300},null,{"$f":"$M$85*(SUM('Weekend Hours'!D33:D42))","v":3879.2941133252234},{"$f":"$M$85*(SUM('Weekend Hours'!D43:D44))","v":1494.4837987639085},{"$f":"$M$85*SUM('Weekend Hours'!D45:D49)","v":4709.6678905602166},{"$f":"$M$85*SUM('Weekend Hours'!D50:D52)","v":2959.2541386583393},{"$f":"$M$85*SUM('Weekend Hours'!D53:D54)","v":1786.2064316395611},{"$f":"$M$85*SUM('Weekend Hours'!D55:D56)","v":1371.0936270527511},null,{"$f":"SUM(AZ139:BF139)","v":16200},null,{"$f":"UberLyft!Q418*$N$85","v":15586.036135153894},{"$f":"UberLyft!R418*$N$85","v":4065.0474929023389},{"$f":"UberLyft!S418*$N$85","v":12666.029497114847},{"$f":"UberLyft!T418*$N$85","v":9428.2412567251649},{"$f":"UberLyft!U418*$N$85","v":6066.2718511647436},{"$f":"UberLyft!V418*$N$85","v":5988.3737669390048},null,{"$f":"SUM(BI139:BO139)","v":53799.999999999993}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140},"Product of total auto work trips above, times percentages of total daily inbound work trips in respective periods in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times %'s of total daily inbound non-work trips in respective periods in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,"Product of total thru-trips above, times %'s of daily thru-trips in respective periods in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O139, \" period entries by medallion cabs are product of hourly entries in Row \",$O142, \" and number of hours in period in Row \",$O135, \".\")","v":"Row 139 period entries by medallion cabs are product of hourly entries in Row 142 and number of hours in period in Row 135."},null,null,null,null,null,null,null,null,"Uses same inbound %'s as auto work-trips; may want to modify to put more entries in a.m. periods, fewer in p.m.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O139, \" period entries by UberLyfts are product of period entries in 'UberLyft' tab, Row \",UberLyft!O418, \" and total daily UberLyft entries in Cell N\",O85, \".\")","v":"Row 139 period entries by UberLyfts are product of period entries in 'UberLyft' tab, Row 418 and total daily UberLyft entries in Cell N85."}]
[null,"%'s of daily auto crossings into cordon in respective periods",null,null,null,null,{"$f":"G139/$N$139","v":0.24451458126131709},9.0495905903690194E-2,0.28505979472516907,0.18198808454974119,0.11053423078400443,8.7407402776078016E-2,null,{"$f":"SUM(G141:M141)","v":1},{"$f":"ROW()","v":141},{"$f":"P139/$W139","v":0.3112098489425455},0.11066995426096178,0.2906347610145395,0.1095697793588518,0.11022723713124623,6.7688419291855303E-2,0,{"$f":"SUM(P141:V141)","v":1.0000000000000002},null,{"$f":"Y139/$AF139","v":0.18531395745530435},7.8416298272733331E-2,0.30381436398395489,0.22312438633491366,0.11522578313012882,9.4105210822964913E-2,0,{"$f":"SUM(Y141:AE141)","v":1},null,{"$f":"AH139/$AO139","v":0.30969293812731841},0.11013052258452365,0.26029632426391031,0.14538094692870476,9.8720967027046205E-2,7.5778301068496687E-2,0,{"$f":"SUM(AH141:AN141)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ139/$BG139","v":0.23946259958797675},9.225208634345114E-2,0.29072024015803805,0.18267000855915674,0.11025965627404698,8.4635409077330317E-2,null,{"$f":"SUM(AZ141:BF141)","v":1},null,{"$f":"BI139/$BP139","v":0.28970327388761891},7.5558503585545347E-2,0.23542805756719049,0.17524612001347892,0.11275598236365696,0.1113080625825094,null,{"$f":"SUM(BI141:BO141)","v":0.99999999999999989}]
[null,"Hourly cordon entries (vehicles)",null,null,null,null,{"$f":"P142+Y142+AH142+AQ142+AZ142+BI142","v":12748.990266965076},23592.282669092034,29726.035393940623,31629.529094745016,28816.273965389955,22787.10990372354,null,null,{"$f":"ROW()","v":142},{"$f":"P139/P$135","v":2483.4545945615123},4415.7311750123736,4638.5307857920488,2914.556130945457,4398.0667615367229,2700.7679297450254,null,null,null,{"$f":"Y139/Y$135","v":4434.5630019054333},9382.5100883325431,14540.55546027208,17797.888549981613,13786.764951519914,11259.688474967752,null,null,null,{"$f":"AH139/AH$135","v":3158.8679688986481},5616.6566518107065,5310.0450149837716,4942.9521955759628,5034.7693183793572,3864.6933544933318,null,null,null,{"$f":"AQ139/AQ$135","v":725.5716767515695},1397.6191081032848,1761.7646553577106,1844.9670864474831,1670.4337925518116,1282.2264475215543,null,null,null,{"$f":"AZ139/AZ$135","v":387.92941133252236},747.24189938195423,941.93357811204328,986.41804621944641,893.10321581978053,685.54681352637556,null,null,null,{"$f":"BI139/BI$135","v":1558.6036135153895},2032.5237464511695,2533.2058994229692,3142.7470855750548,3033.1359255823718,2994.1868834695024]
[null,{"$f":"CONCATENATE(\"Row \",O139, \" figures divided by Row \",O135, \" figures.\")","v":"Row 139 figures divided by Row 135 figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O142, \" hourly entries by UberLyfts are period entries in Row \",O139, \" divided by hours in period inrow \",O135, \".\")","v":"Row 142 hourly entries by UberLyfts are period entries in Row 139 divided by hours in period inrow 135."}]
[null,"Hourly cordon entries as % of maximum hourly cordon entries",null,null,null,null,{"$f":"G142/MAX($G142:$M142)","v":0.40307240201951711},0.74589421165336589,0.93981909452073875,1,0.91105605395110167,0.72043784893115681,null,null,{"$f":"ROW()","v":144}]
[null,"These percentages will help estimate traffic speeds within respective periods, since speeds are essentially a function of traffic volumes (densities).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Cordon VMT from cordon entries ",null,null,null,null,{"$f":"P146+Y146+AH146+AQ146+AZ146+BI146","v":193894.92720556533},71895.242375059825,227354.74478290314,145288.87647566729,88121.17767995334,69645.031480851088,null,{"$f":"SUM(G146:M146)","v":796200},{"$f":"ROW()","v":146},{"$f":"P139*$I$99","v":37251.818918422679},13247.193525037121,34788.98089344037,13115.502589254556,13194.200284610168,8102.3037892350767,0,{"$f":"SUM(P146:V146)","v":119699.99999999997},null,{"$f":"Y139*$J$99","v":66518.445028581496},28147.530264997629,109054.16595204061,80090.498474917258,41360.294854559739,33779.065424903252,0,{"$f":"SUM(Y146:AE146)","v":358950},null,{"$f":"AH139*$K$99","v":44224.15156458108},15726.63862506998,37170.315104886402,20760.399221419048,14097.354091462201,10821.14139258133,0,{"$f":"SUM(AH146:AN146)","v":142800.00000000006},null,{"$f":"AQ139*$L$99","v":10883.575151273542},4192.8573243098544,13213.234915182829,8302.3518890136747,5011.3013776554344,3846.6793425646629,null,{"$f":"SUM(AQ146:AW146)","v":45450},null,{"$f":"AZ139*$M$99","v":11637.882339975669},4483.4513962917254,14129.00367168065,8877.7624159750176,5358.6192949186834,4113.2808811582536,null,{"$f":"SUM(AZ146:BF146)","v":48599.999999999993},null,{"$f":"BI139*$N$99","v":23379.05420273084},6097.5712393535086,18999.04424567227,14142.361885087746,9099.4077767471153,8982.5606504085081,null,{"$f":"SUM(BI146:BO146)","v":80699.999999999971}]
[null,{"$f":"CONCATENATE(\"Daily cordon entries in Row \",O139,\" times Cordon VMT per entry in Row \",O96,\".\")","v":"Daily cordon entries in Row 139 times Cordon VMT per entry in Row 96."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"2. Baseline Auto Cordon Crossings, outbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Daily cordon auto return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"P150+Y150+AH150+AQ150+AZ150+BI150","v":152185.31550223593},47694.974337321211,138645.46539777942,88417.645650816936,48810.249558967618,45646.349552878884,null,{"$f":"SUM(G150:M150)","v":521399.99999999994},{"$f":"ROW()","v":150},{"$f":"$I$85*(SUM('Weekend Hours'!L33:L42))","v":23549.953123662544},{"$f":"$I$85*(SUM('Weekend Hours'!L43:L44))","v":7295.8642689166118},{"$f":"$I$85*SUM('Weekend Hours'!L45:L49)","v":21097.462922531202},{"$f":"$I$85*SUM('Weekend Hours'!L50:L52)","v":13467.813077661705},{"$f":"$I$85*SUM('Weekend Hours'!L53:L54)","v":7388.4273702185837},{"$f":"$I$85*SUM('Weekend Hours'!L55:L56)","v":7000.4792370093573},null,{"$f":"SUM(P150:V150)","v":79800.000000000015},null,{"$f":"$J$85*(SUM('Weekend Hours'!L33:L42))","v":70620.348151534417},{"$f":"$J$85*(SUM('Weekend Hours'!L43:L44))","v":21878.450119696055},{"$f":"$J$85*SUM('Weekend Hours'!L45:L49)","v":63265.950844131781},{"$f":"$J$85*SUM('Weekend Hours'!L50:L52)","v":40386.56227424118},{"$f":"$J$85*SUM('Weekend Hours'!L53:L54)","v":22156.02342974069},{"$f":"$J$85*SUM('Weekend Hours'!L55:L56)","v":20992.66518065588},null,{"$f":"SUM(Y150:AE150)","v":239300},null,{"$f":"$K$85*(SUM('Weekend Hours'!L33:L42))","v":30101.443842275432},{"$f":"$K$85*(SUM('Weekend Hours'!L43:L44))","v":9325.5407948558204},{"$f":"$K$85*SUM('Weekend Hours'!L45:L49)","v":26966.681931054918},{"$f":"$K$85*SUM('Weekend Hours'!L50:L52)","v":17214.497918815712},{"$f":"$K$85*SUM('Weekend Hours'!L53:L54)","v":9443.8545333621005},{"$f":"$K$85*SUM('Weekend Hours'!L55:L56)","v":8947.9809796360205},{"$f":"AN139","v":0},{"$f":"SUM(AH150:AN150)","v":102000},null,{"$f":"AQ139","v":7255.7167675156952},2795.2382162065696,8808.8232767885529,5534.9012593424495,3340.8675851036232,2564.4528950431086,null,{"$f":"SUM(AQ150:AW150)","v":30300},null,{"$f":"$M$85*(SUM('Weekend Hours'!L33:L42))","v":4780.8175514202158},{"$f":"$M$85*(SUM('Weekend Hours'!L43:L44))","v":1481.1153027123949},{"$f":"$M$85*SUM('Weekend Hours'!L45:L49)","v":4282.9436008146049},{"$f":"$M$85*SUM('Weekend Hours'!L50:L52)","v":2734.0673165177895},{"$f":"$M$85*SUM('Weekend Hours'!L53:L54)","v":1499.9063082398629},{"$f":"$M$85*SUM('Weekend Hours'!L55:L56)","v":1421.1499202951327},null,{"$f":"SUM(AZ150:BF150)","v":16200},null,{"$f":"$N$85*(SUM('Weekend Hours'!L33:L42))","v":15877.036065827629},{"$f":"$N$85*(SUM('Weekend Hours'!L43:L44))","v":4918.7656349337558},{"$f":"$N$85*SUM('Weekend Hours'!L45:L49)","v":14223.602822458379},{"$f":"$N$85*SUM('Weekend Hours'!L50:L52)","v":9079.8038042380922},{"$f":"$N$85*SUM('Weekend Hours'!L53:L54)","v":4981.170332302755},{"$f":"$N$85*SUM('Weekend Hours'!L55:L56)","v":4719.6213402393914},null,{"$f":"SUM(BI150:BO150)","v":53800.000000000007}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},"Product of total auto work trips above, times percentages of total daily outbound trips in respective periods in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times percentages of total daily outbound trips in respective periods in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",O139,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 139, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,"Taxicab outbound trips are assumed to follow same distribution as inbound.",null,null,null,null,null,null,null,null,"Uses same outbound %'s as autos; may want to modify to reflect possible tilt toward morning, esp'ly early morning, and away from evening",null,null,null,null,null,null,null,null,"UberLyft outbound trips are assumed to follow same distribution as inbound."]
[null,"%'s of daily auto return trips from cordon in respective periods",null,null,null,null,{"$f":"G150/$N$139","v":0.29187824223673942},9.1474826116841601E-2,0.26590998350168665,0.16957737946071527,9.3613827309105516E-2,8.7545741374911556E-2,null,{"$f":"SUM(G152:M152)","v":1},{"$f":"ROW()","v":152},{"$f":"P150/$W150","v":0.29511219453211202},9.142687053780213E-2,0.26437923461818547,0.16876958743936971,9.2586809150608795E-2,8.7725303721921749E-2,0,{"$f":"SUM(P152:V152)","v":0.99999999999999989},null,{"$f":"Y150/$AF150","v":0.29511219453211207},9.1426870537802157E-2,0.26437923461818547,0.16876958743936973,9.2586809150608809E-2,8.7725303721921777E-2,0,{"$f":"SUM(Y152:AE152)","v":1},null,{"$f":"AH150/$AO150","v":0.29511219453211207},9.1426870537802157E-2,0.26437923461818547,0.16876958743936973,9.2586809150608823E-2,8.7725303721921763E-2,0,{"$f":"SUM(AH152:AN152)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ150/$BG150","v":0.29511219453211207},9.1426870537802157E-2,0.26437923461818547,0.16876958743936973,9.2586809150608823E-2,8.7725303721921777E-2,null,{"$f":"SUM(AZ152:BF152)","v":1},null,{"$f":"BI150/$BP150","v":0.29511219453211202},9.1426870537802143E-2,0.26437923461818547,0.16876958743936973,9.2586809150608823E-2,8.7725303721921763E-2,null,{"$f":"SUM(BI152:BO152)","v":0.99999999999999989}]
[null,"Hourly cordon return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"P153+Y153+AH153+AQ153+AZ153+BI153","v":15218.531550223594},23847.487168660606,27729.093079555889,29472.54855027231,24405.124779483809,22823.174776439442,null,null,{"$f":"ROW()","v":153},{"$f":"P150/P$135","v":2354.9953123662544},3647.9321344583059,4219.4925845062407,4489.2710258872348,3694.2136851092919,3500.2396185046787,null,null,null,{"$f":"Y150/Y$135","v":7062.0348151534417},10939.225059848028,12653.190168826357,13462.187424747061,11078.011714870345,10496.33259032794,null,null,null,{"$f":"AH150/AH$135","v":3010.144384227543},4662.7703974279102,5393.3363862109836,5738.165972938571,4721.9272666810502,4473.9904898180102,null,null,null,{"$f":"AQ150/AQ$135","v":725.5716767515695},1397.6191081032848,1761.7646553577106,1844.9670864474831,1670.4337925518116,1282.2264475215543,null,null,null,{"$f":"AZ150/AZ$135","v":478.08175514202156},740.55765135619743,856.58872016292094,911.35577217259652,749.95315411993147,710.57496014756634,null,null,null,{"$f":"BI150/BI$135","v":1587.7036065827629},2459.3828174668779,2844.7205644916758,3026.6012680793642,2490.5851661513775,2359.8106701196957]
[null,"Cordon VMT from cordon return trips (period return trips x cordon VMT per entry)",null,null,null,null,223764.27288375294,69938.828936387188,203058.78551756797,129525.60526027781,71400.084128447619,66974.923273566499,null,{"$f":"SUM(G154:M154)","v":764662.50000000012},{"$f":"ROW()","v":154},{"$f":"P150*$I$99","v":35324.929685493815},10943.796403374918,31646.194383796803,20201.719616492559,11082.641055327877,10500.718855514036,0,{"$f":"SUM(P154:V154)","v":119699.99999999999},null,{"$f":"Y150*$J$99","v":105930.52222730163},32817.67517954408,94898.926266197668,60579.84341136177,33234.035144611036,31488.99777098382,0,{"$f":"SUM(Y154:AE154)","v":358950},null,{"$f":"AH150*$K$99","v":42142.021379185608},13055.75711279815,37753.354703476885,24100.297086341998,13221.396346706942,12527.173371490429,0,{"$f":"SUM(AH154:AN154)","v":142800},null,{"$f":"AQ150*$L$99*Taxis!$L$228","v":8162.6813634551563},{"$f":"AR150*$L$99*Taxis!$L$228","v":3144.6429932323908},{"$f":"AS150*$L$99*Taxis!$L$228","v":9909.9261863871216},{"$f":"AT150*$L$99*Taxis!$L$228","v":6226.7639167602556},{"$f":"AU150*$L$99*Taxis!$L$228","v":3758.4760332415758},{"$f":"AV150*$L$99*Taxis!$L$228","v":2885.0095069234972},null,{"$f":"SUM(AQ154:AW154)","v":34087.499999999993},null,{"$f":"AZ150*$M$99","v":14342.452654260647},4443.3459081371848,12848.830802443816,8202.2019495533677,4499.7189247195893,4263.4497608853981,null,{"$f":"SUM(AZ154:BF154)","v":48600},null,{"$f":"BI150*$L$99*Taxis!$L$228","v":17861.665574056082},{"$f":"BJ150*$L$99*Taxis!$L$228","v":5533.6113393004753},{"$f":"BK150*$L$99*Taxis!$L$228","v":16001.553175265675},{"$f":"BL150*$L$99*Taxis!$L$228","v":10214.779279767852},{"$f":"BM150*$L$99*Taxis!$L$228","v":5603.8166238405993},{"$f":"BN150*$L$99*Taxis!$L$228","v":5309.5740077693154},null,{"$f":"SUM(BI154:BO154)","v":60525}]
[null,{"$f":"CONCATENATE(\"Daily cordon return trips in Row \",O150,\" times Cordon VMT per entry [which is same as per return] in Row \",45,\".\")","v":"Daily cordon return trips in Row 150 times Cordon VMT per entry [which is same as per return] in Row 45."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!$O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"3. Baseline Auto Travel in Cordon that Didn't Cross Cordon -- VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"% of 24-h volume that occurs in respective period",null,null,null,null,{"$f":"AVERAGE(SUM('Weekend Hours'!D33:D42),SUM('Weekend Hours'!L33:L42))","v":0.2672873970600444},{"$f":"AVERAGE(SUM('Weekend Hours'!D43:D44),SUM('Weekend Hours'!L43:L44))","v":9.1839478440626648E-2},{"$f":"AVERAGE(SUM('Weekend Hours'!D45:D49),SUM('Weekend Hours'!L45:L49))","v":0.27754973738811173},{"$f":"AVERAGE(SUM('Weekend Hours'!D50:D52),SUM('Weekend Hours'!L50:L52))","v":0.17571979799926324},{"$f":"AVERAGE(SUM('Weekend Hours'!D53:D54),SUM('Weekend Hours'!L53:L54))","v":0.10142323271232789},{"$f":"AVERAGE(SUM('Weekend Hours'!D55:D56),SUM('Weekend Hours'!L55:L56))","v":8.618035639962604E-2},null,{"$f":"SUM(G158:M158)","v":0.99999999999999989},{"$f":"ROW()","v":158},{"$f":"G158","v":0.2672873970600444},9.1839478440626648E-2,0.27754973738811173,0.17571979799926324,0.10142323271232789,8.618035639962604E-2,0,{"$f":"SUM(P158:V158)","v":0.99999999999999989},null,{"$f":"G158","v":0.2672873970600444},9.1839478440626648E-2,0.27754973738811173,0.17571979799926324,0.10142323271232789,8.618035639962604E-2,0,{"$f":"SUM(Y158:AE158)","v":0.99999999999999989},null,{"$f":"P158","v":0.2672873970600444},9.1839478440626648E-2,0.27754973738811173,0.17571979799926324,0.10142323271232789,8.618035639962604E-2,0,{"$f":"SUM(AH158:AN158)","v":0.99999999999999989},null,{"$f":"Taxis!Q294","v":0.36745970669833883},{"$f":"Taxis!R294","v":8.1962824181625857E-2},{"$f":"Taxis!S294","v":0.22427856015908273},{"$f":"Taxis!T294","v":0.14300086288137556},{"$f":"Taxis!U294","v":9.2868396777533488E-2},{"$f":"Taxis!V294","v":9.0429649302043558E-2},null,{"$f":"SUM(AQ158:AW158)","v":1},null,{"$f":"G158","v":0.2672873970600444},9.1839478440626648E-2,0.27754973738811173,0.17571979799926324,0.10142323271232789,8.618035639962604E-2,null,{"$f":"SUM(AZ158:BF158)","v":0.99999999999999989},null,{"$f":"AQ158","v":0.36745970669833883},8.1962824181625857E-2,0.22427856015908273,0.14300086288137556,9.2868396777533488E-2,9.0429649302043558E-2,null,{"$f":"SUM(BI158:BO158)","v":1}]
[null,"Calculated as mean of inbound and outbound percentages for respective periods, in Weekend Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159},"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Derived in 'Taxis' worksheet tab, Row \",Taxis!$O294, \", from TLC compilation of taxi 'boardings' for 2 weekend days (and 2 weekdays) in March 2009.\")","v":"Derived in 'Taxis' worksheet tab, Row 294, from TLC compilation of taxi 'boardings' for 2 weekend days (and 2 weekdays) in March 2009."},null,null,null,null,null,null,null,null,"Same as for all traffic (first column block)",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Derived in 'Taxis' worksheet tab, Row \",Taxis!$O294, \", from TLC compilation of taxi 'boardings' for 2 weekend days (and 2 weekdays) in March 2009.\")","v":"Derived in 'Taxis' worksheet tab, Row 294, from TLC compilation of taxi 'boardings' for 2 weekend days (and 2 weekdays) in March 2009."}]
[null,"Cordon VMT from motor vehicle trips that didn't cross cordon",null,null,null,null,{"$f":"P160+Y160+AH160+AQ160+AZ160+BI160","v":536670.49878081633},124738.44820721887,345426.85516742093,220050.70333919613,140923.80711491199,135258.23414986685,null,{"$f":"SUM(G160:M160)","v":1503068.5467594313},{"$f":"ROW()","v":160},{"$f":"P158*$I$115","v":9141.2289794535191},3140.9101626694314,9492.2010186734205,6009.6170915748025,3468.6745587616138,2947.3681888672104,0,{"$f":"SUM(P160:V160)","v":34200},null,{"$f":"Y158*$J$115","v":27412.231764200838},9418.7945103608381,28464.708067275056,18021.320426238726,10401.676966311456,8838.4111227559333,0,{"$f":"SUM(Y160:AE160)","v":102557.14285714286},null,{"$f":"AH158*$K$115","v":0},0,0,0,0,0,0,{"$f":"SUM(AH160:AN160)","v":0},null,{"$f":"AQ158*$L$115","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ160:AW160)","v":510435.42163078324},null,{"$f":"AZ158*$M$115","v":5196.0669988472628},1785.359460885782,5395.5668948248922,3415.9928731056775,1971.6676439276544,1675.3461284087302,null,{"$f":"SUM(AZ160:BF160)","v":19440},null,{"$f":"BI158*$N$115","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI160:BO160)","v":836435.98227150494}]
[null,"Each entry is sum of respective entries for the six trip types.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161},{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,"Intra-cordon VMT is zero for thru-trips, by definition.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of taxi trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of taxi trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 115."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$O158,\" times est'd VMT of UberLyft trips within cordon (trips that don't cross cordon) shown in row \",$O115, \".\")","v":"Each entry is product of %'s in row 158 times est'd VMT of UberLyft trips within cordon (trips that don't cross cordon) shown in row 115."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"4. Baseline Total VMT in Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"VMT in period",null,null,null,null,{"$f":"G146+G154+G160","v":954329.69887013454},266572.51951866585,775840.38546789205,494865.18507514126,300445.06892331294,271878.18890428444,null,{"$f":"SUM(G164:M164)","v":3063931.0467594313},{"$f":"ROW()","v":164},{"$f":"P146+P154+P160","v":81717.977583370011},27331.900091081472,75927.376295910595,39326.839297321916,27745.515898699658,21550.390833616326,0,{"$f":"SUM(P164:V164)","v":273600},null,{"$f":"Y146+Y154+Y160","v":199861.19902008396},70383.999954902552,232417.80028551334,158691.66231251776,84996.006965482229,74106.474318643013,0,{"$f":"SUM(Y164:AE164)","v":820457.14285714284},null,{"$f":"AH146+AH154+AH160","v":86366.172943766695},28782.39573786813,74923.66980836328,44860.696307761042,27318.750438169143,23348.314764071758,0,{"$f":"SUM(AH164:AN164)","v":285600.00000000006},null,{"$f":"AQ146+AQ154+AQ160","v":206610.70683561923},49174.229036740195,137602.88251911633,87521.821544194681,56173.09667621219,52890.185018900622,null,{"$f":"SUM(AQ164:AW164)","v":589972.92163078324},null,{"$f":"AZ146+AZ154+AZ160","v":31176.401993083578},10712.156765314692,32373.401368949359,20495.957238634066,11830.005863565928,10052.076770452381,null,{"$f":"SUM(AZ164:BF164)","v":116640},null,{"$f":"BI146+BI154+BI160","v":348597.24049421109},80187.837932758863,222595.25519003911,143968.20837471177,92381.693081183796,89930.747198600337,null,{"$f":"SUM(BI164:BO164)","v":977660.98227150494}]
[null,{"$f":"CONCATENATE(\"Each entry is sum of respective VMT's in Rows \",O146, \", \",O154, \" and \",158, \".\")","v":"Each entry is sum of respective VMT's in Rows 146, 154 and 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AQ164/G164","v":0.21649824696877099},0.18446848581966055,0.17735978314164594,0.17685992909544687,0.1869662793186001,0.19453632978819341,null,{"$f":"AX164/N164","v":0.19255424245097438}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G164/G135","v":95432.96988701346},133286.25975933293,155168.07709357841,164955.06169171375,150222.53446165647,135939.09445214222,null,null,{"$f":"ROW()","v":166},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Above percentages show, for each period and on a 24-h basis, Taxi % of all cordon VMT"]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",O164, \" divided by hours in period in Row \",O135, \".\")","v":"Period VMT in Row 164 divided by hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Hourly traffic as % of weekday maximum-period's hourly traffic",null,null,null,null,{"$f":"G166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.55216439372307724},{"$f":"H166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.77117925700899315},{"$f":"I166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.89778498264267637},{"$f":"J166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.95441137102191809},{"$f":"K166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.86917063110127679},{"$f":"L166/MAX('Motor Vs'!$G$166:'Motor Vs'!$M$166)","v":0.78652825915716917},null,null,{"$f":"ROW()","v":168},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,{"$f":"CONCATENATE(\"Ratio of Hourly VMT for period, as shown in Row \",O166,\", to maximum hourly VMT shown in Row \",O166, \" of 'Motor Vs' worksheet.\")","v":"Ratio of Hourly VMT for period, as shown in Row 166, to maximum hourly VMT shown in Row 166 of 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"5. Baseline Total VMT Outside Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"P173+Y173+AH173+AQ173+AZ173+BI173","v":2163074.4872388672},813941.16082990926,2490895.3437573854,1558806.3356434384,952281.40968503302,739022.89370842988,null,{"$f":"SUM(G173:M173)","v":8718021.630863063},{"$f":"ROW()","v":173},{"$f":"P139*$I$93","v":418633.6904097572},148871.1604956268,390956.46547913947,147391.2257155051,148275.62566133353,91053.200476903294,null,{"$f":"SUM(P173:V173)","v":1345181.3682382654},null,{"$f":"Y139*$J$93","v":747530.26647142135},316320.24456472439,1225544.1283830316,900052.18313595594,464804.49476353195,379607.09645849006,null,{"$f":"SUM(Y173:AE173)","v":4033858.4137771558},null,{"$f":"AH139*$K$93","v":798731.26625697652},284038.4165341084,671332.10701716656,374953.03745758726,254611.95039329267,195440.35693303283,null,{"$f":"SUM(AH173:AN173)","v":2579107.1345921638},null,{"$f":"AQ139*$L$93","v":43534.300605094169},16771.429297239418,52852.939660731317,33209.407556054699,20045.205510621738,15386.717370258651,null,{"$f":"SUM(AQ173:AW173)","v":181800},null,{"$f":"AZ139*$M$93","v":61128.746684694881},23549.624980796241,74213.526234627323,46631.03423798459,28146.502249264646,21605.279868111047,null,{"$f":"SUM(AZ173:BF173)","v":255274.71425547873},null,{"$f":"BI139*$N$93","v":93516.216810923361},24390.284957414035,75996.176982689081,56569.447540350986,36397.631106988461,35930.242601634032,null,{"$f":"SUM(BI173:BO173)","v":322799.99999999988}]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,2562677.3991015777,797211.45922414307,2309652.6809595074,1473864.0104878379,810386.72851463908,764229.3525753594,null,{"$f":"SUM(G174:M174)","v":8718021.630863063},{"$f":"ROW()","v":174},{"$f":"P150*$I$93","v":396979.42562450375},122985.72280378349,355638.02055747621,227025.70454869902,124546.05061403115,118006.44408977215,null,{"$f":"SUM(P174:V174)","v":1345181.3682382656},null,{"$f":"Y150*$J$93","v":1190440.8089216009},368803.05096422794,1066468.3999925321,680792.62028200098,373482.07909696311,353871.45451983053,null,{"$f":"SUM(Y174:AE174)","v":4033858.4137771553},null,{"$f":"AH150*$K$93","v":761125.96642292081},235799.69409747966,681862.37024177774,435274.84706705448,238791.30004945828,226252.95671347293,null,{"$f":"SUM(AH174:AN174)","v":2579107.1345921638},null,{"$f":"AQ150*$L$93","v":43534.300605094169},16771.429297239418,52852.939660731317,33209.407556054699,20045.205510621738,15386.717370258651,null,{"$f":"SUM(AQ174:AW174)","v":181800},null,{"$f":"AZ150*$M$93","v":75334.681132492158},23338.968251810093,67489.33357223947,43082.608208600141,23635.071249748209,22394.051840588665,null,{"$f":"SUM(AZ174:BF174)","v":255274.7142554787},null,{"$f":"BI150*$N$93","v":95262.21639496577},29512.593809602535,85341.616934750273,54478.82282542855,29887.021993816532,28317.728041436349,null,{"$f":"SUM(BI174:BO174)","v":322800}]
[null,"VMT in period for cordon trips (sum of figures in two previous rows)",null,null,null,null,4725751.8863404458,1611152.6200540524,4800548.0247168923,3032670.3461312763,1762668.1381996721,1503252.2462837892,null,{"$f":"SUM(G175:M175)","v":17436043.261726126},{"$f":"ROW()","v":175},{"$f":"P173+P174","v":815613.11603426095},271856.88329941028,746594.48603661568,374416.93026420416,272821.67627536471,209059.64456667544,null,{"$f":"SUM(P175:V175)","v":2690362.7364765313},null,{"$f":"Y173+Y174","v":1937971.0753930223},685123.29552895227,2292012.5283755637,1580844.8034179569,838286.57386049512,733478.55097832065,null,{"$f":"SUM(Y175:AE175)","v":8067716.8275543116},null,{"$f":"AH173+AH174","v":1559857.2326798975},519838.11063158803,1353194.4772589444,810227.88452464179,493403.25044275098,421693.31364650576,null,{"$f":"SUM(AH175:AN175)","v":5158214.2691843277},null,{"$f":"AQ173+AQ174","v":87068.601210188339},33542.858594478836,105705.87932146263,66418.815112109398,40090.411021243475,30773.434740517303,null,{"$f":"SUM(AQ175:AW175)","v":363600},null,{"$f":"AZ173+AZ174","v":136463.42781718704},46888.593232606334,141702.85980686679,89713.642446584738,51781.573499012855,43999.331708699712,null,{"$f":"SUM(AZ175:BF175)","v":510549.42851095751},null,{"$f":"BI173+BI174","v":188778.43320588913},53902.878767016569,161337.79391743935,111048.27036577954,66284.653100804993,64247.970643070381,null,{"$f":"SUM(BI175:BO175)","v":645600}]
[null,{"$f":"CONCATENATE(\"Row \",O173, \" entries are product of inbound cordon trips for period in Row \",O139, \" and one-way non-cordon mileage in Row \",O93, \". Ditto for outbound legs in Row \",O174, \" which uses outbound trips in Row \",O150, \".\")","v":"Row 173 entries are product of inbound cordon trips for period in Row 139 and one-way non-cordon mileage in Row 93. Ditto for outbound legs in Row 174 which uses outbound trips in Row 150."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"B. Non-cordon VMT for trips that do not enter the cordon",null,null,null,null,null,null,null,null,null,null,"Ratio of non-cordon VMT to same figure for weekdays:",{"$f":"N175/'Motor Vs'!N175","v":0.85633776112492743},{"$f":"ROW()","v":177}]
[null,"Cordon trips' share of traffic on cordon-bound roads:",null,null,null,null,null,null,null,null,null,{"$f":"Approaches!F22","v":0.34097720523182823},"Figure above exceeds ratio for entries because trip shares differ (note weekends' higher share of through trips w/ high per-trip VMT).",null,{"$f":"ROW()","v":178}]
[null,{"$f":"CONCATENATE(\"Derived through detailed analysis spelled out in 'Approaches' worksheet, and displayed there in Cell F\",Approaches!O22, \".\")","v":"Derived through detailed analysis spelled out in 'Approaches' worksheet, and displayed there in Cell F22."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Ratio, non-cordon-bound trips' non-cordon VMT, to cordon-bound trips' non-cordon VMT (on cordon-bound roads):",null,null,null,null,null,null,null,null,null,{"$f":"(1-L178)/L178","v":1.9327473645052207},null,null,{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of (i) complement of percentage in Row \",O178, \" to the percentage itself.\")","v":"Calculated as ratio of (i) complement of percentage in Row 178 to the percentage itself."},null,null,null,null,null,null,null,null,"Except this ratio used for medallion taxis + UberLyfts:",0.1,null,null,{"$f":"ROW()","v":181}]
[null,"VMT in period for non-cordon trips (on roads used by cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"Product of Figures in Row \",O175, \" by ratio in Row \",O180,)","v":"Product of Figures in Row 175 by ratio in Row 180"},null,null,null,null,{"$f":"P183+Y183+AH183+AQ183+AZ183+BI183","v":8628126.5782974251},2953685.0355386543,8788822.9546159245,5536133.2857023375,3211833.5801839815,2731256.5869031944,null,{"$f":"SUM(G183:M183)","v":31849858.02124152},{"$f":"ROW()","v":183},{"$f":"P175*$L$180","v":1576374.1004711087},525430.67471953854,1442978.5252413987,723653.3351942756,527295.37580110761,404059.47706064011,null,{"$f":"SUM(P183:V183)","v":5199791.4884880697},null,{"$f":"Y175*$L$180","v":3745608.4884532122},1324170.2437947139,4429881.1736308178,3055373.62749783,1620196.1663289829,1417628.7363244575,null,{"$f":"SUM(Y183:AE183)","v":15592858.436030015},null,{"$f":"AH175*$L$180","v":3014809.9554664786},1004715.7382925751,2615383.0595852444,1565965.8084636417,953623.83193153632,815026.6405797574,null,{"$f":"SUM(AH183:AN183)","v":9969525.034319235},null,{"$f":"AQ175*$L$181","v":8706.8601210188335},3354.2858594478839,10570.587932146263,6641.8815112109405,4009.0411021243476,3077.3434740517305,null,{"$f":"SUM(AQ183:AW183)","v":36360},null,{"$f":"AZ175*$L$180","v":263749.33046501665},90623.804995677216,273875.82883457455,173393.80599880035,100080.69971015047,85039.592399980349,null,{"$f":"SUM(AZ183:BF183)","v":986763.0624041995},null,{"$f":"BI175*$L$181","v":18877.843320588912},5390.2878767016573,16133.779391743936,11104.827036577954,6628.4653100804999,6424.7970643070385,0,{"$f":"SUM(BI183:BO183)","v":64559.999999999993}]
[null,"C. Total (Sum of \"A\" + \"B\")",null,null,null,null,{"$f":"G175+G183","v":13353878.464637872},4564837.655592707,13589370.979332816,8568803.6318336129,4974501.7183836531,4234508.8331869841,null,{"$f":"SUM(G184:M184)","v":49285901.282967642},{"$f":"ROW()","v":184},{"$f":"P175+P183","v":2391987.2165053696},797287.55801894888,2189573.0112780146,1098070.2654584798,800117.05207647232,613119.12162731553,null,{"$f":"SUM(P184:V184)","v":7890154.2249646001},null,{"$f":"Y175+Y183","v":5683579.5638462342},2009293.5393236661,6721893.702006381,4636218.4309157869,2458482.7401894778,2151107.2873027781,null,{"$f":"SUM(Y184:AE184)","v":23660575.263584323},null,{"$f":"AH175+AH183","v":4574667.1881463761},1524553.8489241633,3968577.5368441888,2376193.6929882835,1447027.0823742873,1236719.9542262631,null,{"$f":"SUM(AH184:AN184)","v":15127739.303503562},null,{"$f":"AQ175+AQ183","v":95775.461331207174},36897.144453926718,116276.46725360889,73060.696623320342,44099.452123367824,33850.778214569036,null,{"$f":"SUM(AQ184:AW184)","v":399959.99999999994},null,{"$f":"AZ175+AZ183","v":400212.75828220369},137512.39822828356,415578.68864144135,263107.44844538509,151862.27320916334,129038.92410868006,null,{"$f":"SUM(AZ184:BF184)","v":1497312.4909151571},null,{"$f":"BI175+BI183","v":207656.27652647803},59293.166643718228,177471.5733091833,122153.0974023575,72913.118410885494,70672.767707377425,null,{"$f":"SUM(BI184:BO184)","v":710159.99999999988}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G184/G135","v":1335387.8464637871},2282418.8277963535,2717874.1958665634,2856267.8772778711,2487250.8591918265,2117254.416593492,null,null,{"$f":"ROW()","v":185}]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",O184, \" divided by hours in period in Row \",$O$135, \".\")","v":"Period VMT in Row 184 divided by hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Hourly traffic as % of weekend maximum-period's hourly traffic",null,null,null,null,{"$f":"G185/MAX($G$185:$M$185)","v":0.46752892370041327},0.79909130580972787,0.95154737323055216,1,0.87080447845188402,0.74126605331265838,null,null,{"$f":"ROW()","v":187}]
[null,{"$f":"CONCATENATE(\"Ratio of Hourly VMT for period, as shown in Row \",O185,\", to maximum hourly VMT shown in same row.\")","v":"Ratio of Hourly VMT for period, as shown in Row 185, to maximum hourly VMT shown in same row."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"6. Baseline Speeds",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":190},"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds",null,null,null,null,null,null,null,null,"Speeds"]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":191},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left."]
[null,"A. Cordon speeds",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Baseline avg cordon speeds for each period are derived w/ an approach described in Speed-Volume, Cordon worksheet. A key parameter is a traffic-volume constant dubbed \"V_sub_k\" (literally, V, for volume, with subscript k). Its value is derived in Speed-Volume, Cordon. We display it here because formulae used in this worksheet to calculate speeds in response to congestion pricing pivot off that value.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab adjustment factor",null,"Intended to reflect stopping to pick up and discharge passengers.",null,"In cordon","Outside cordon",null,null,null,null,null,null,null,null,null,null,null,null,"UberLyft adjustment factor",null,"Intended to reflect stopping to pick up and discharge passengers.",null,"In cordon","Outside cordon"]
[null,"V_sub_k (derived, as just noted in box above, in Speed-Volume, Cordon):",null,null,null,null,null,null,{"$f":"V_sub_k","v":75631},null,null,null,null,null,{"$f":"ROW()","v":198},"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,"Same as for all vehicles, in first column block at far left.",null,null,null,null,null,null,null,null,null,null,null,null,0.95,0.99,null,null,null,null,null,null,null,null,null,null,null,null,"We may equate this to taxi #'s soon.",null,null,null,1,1]
[null,{"$f":"CONCATENATE(\"Are calculated using speed-volume relationship in Speed-Volume Cordon worksheet, operating on V_sub_k value in Row \",O198, \" and Hourly VMT figures in Row \",O166, \".\")","v":"Are calculated using speed-volume relationship in Speed-Volume Cordon worksheet, operating on V_sub_k value in Row 198 and Hourly VMT figures in Row 166."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199},"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds",null,null,null,null,null,null,null,null,"Cordon speeds"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Cordon Speeds",null,null,null,null,{"$f":"KSC/(1+0.1*(G166/V_sub_k)^KSE)","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115,null,null,{"$f":"ROW()","v":201},{"$f":"G201","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115,0,null,null,{"$f":"G201","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115,null,null,null,{"$f":"P201","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115,null,null,null,{"$f":"G201*$AU$198","v":16.67318720880176},10.638359259963153,7.5402771241001378,6.4053669012842898,8.1753330661610537,10.226520591158659,null,null,null,{"$f":"G201","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115,null,null,null,{"$f":"G201","v":17.550723377686065},11.198272905224371,7.9371338148422508,6.7424914750360951,8.6056137538537421,10.764758517009115]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc average in Row \",O205, \".\")","v":"Reciprocal of Cordon Speeds (needed to calc average in Row 205."},null,null,null,null,{"$f":"1/G201","v":5.6977708467070759E-2},8.9299484702990789E-2,0.12599006433909729,0.14831312782559308,0.11620321671445953,9.2895720644353141E-2,null,null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"See note directly above in Rows \",O194, \" and \",O199, \" to see how cordon speeds were estimated.\")","v":"See note directly above in Rows 194 and 199 to see how cordon speeds were estimated."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,"% excess over weekday value:",{"$f":"K205/'Motor Vs'!K205-1","v":0.24421666270530373},null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,"Traffic-wghtd avg mph, 24h",null,null,{"$f":"$N$164/SUMPRODUCT(G202:M202,G164:M164)","v":9.8998557109707424},null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"B. Vehicle Hours in Traffic within Cordon (per weekend day)",null,null,null,null,{"$f":"G164/G201","v":54375.519363689949},23804.788628994815,97748.180081969767,73395.003450485208,34912.683454886464,25256.320285745081,null,{"$f":"SUM(G207:M207)","v":309492.49526577129},{"$f":"ROW()","v":207}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",O164, \" figures by Row \",O201, \" figures. Figures in this row will be invoked later, to calculate time savings from cordon fees.\")","v":"Calculated as quotient of Row 164 figures by Row 201 figures. Figures in this row will be invoked later, to calculate time savings from cordon fees."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(We will consider reducing truck speeds to reflect lesser maneuverability in traffic.)",null,null,null,null,null,null,null,null,"(We will consider reducing bus speeds to reflect lesser maneuverability in traffic and continual stopping to admit and discharge.)"]
[null,"C. Non-cordon speeds ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Baseline non-cordon speeds, i.e., on approaches to (and from) CBD in NJ, Bklyn, Queens, Bronx and Upper Manhattan, are derived differently than cordon speeds. Whereas our cordon equation is derived from observations made on urban streets, our non-cordon equation is based on data for freeways and expressways. See Speed-Volume, non-Cordon, for details.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,"Speeds in Miles Per Hour",null,null,null,null,null,{"$f":"ROW()","v":215},"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds",null,null,null,null,null,null,null,null,"Non-cordon speeds"]
[null,"Non-Cordon Speeds, uncapped, mph",null,null,null,null,{"$f":"Alpha*EXP(Beta*G185/SVConstant)","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,null,null,{"$f":"ROW()","v":216}]
[null,"Non-Cordon Speeds, capped, mph",null,null,null,null,{"$f":"MIN(G216,'Speed-Vol., non-Cordon'!$Y$6)","v":54.836561641326661},{"$f":"MIN(H216,'Speed-Vol., non-Cordon'!$Y$6)","v":29.629787124806917},{"$f":"MIN(I216,'Speed-Vol., non-Cordon'!$Y$6)","v":22.325533933610298},{"$f":"MIN(J216,'Speed-Vol., non-Cordon'!$Y$6)","v":20.404881275475944},{"$f":"MIN(K216,'Speed-Vol., non-Cordon'!$Y$6)","v":25.936153343226206},{"$f":"MIN(L216,'Speed-Vol., non-Cordon'!$Y$6)","v":32.987814551544879},null,null,{"$f":"ROW()","v":217},{"$f":"G217","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,0,null,null,{"$f":"G217","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,0,null,null,{"$f":"P217","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,0,null,null,{"$f":"$AV$198*G217","v":54.288196024913397},29.333489253558849,22.102278594274196,20.200832462721184,25.676791809793944,32.657936406029428,0,null,null,{"$f":"G217","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,0,null,null,{"$f":"G217","v":54.836561641326661},29.629787124806917,22.325533933610298,20.404881275475944,25.936153343226206,32.987814551544879,0]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc average in Row \",O221, \".\")","v":"Reciprocal of Cordon Speeds (needed to calc average in Row 221."},null,null,null,null,{"$f":"1/G217","v":1.8236008423372165E-2},3.3749820604103191E-2,4.4791761889042013E-2,4.9007881325037264E-2,3.8556218679250361E-2,3.0314224012550361E-2,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,{"$f":"CONCATENATE(\"Non-cordon speeds (uncapped) in Row \",O216, \" are calculated using an exponential equation relating highway speeds to highway volumes, developed in the 'Speed-Vol., non-Cordon' worksheet.\")","v":"Non-cordon speeds (uncapped) in Row 216 are calculated using an exponential equation relating highway speeds to highway volumes, developed in the 'Speed-Vol., non-Cordon' worksheet."},null,null,null,null,null,null,null,"% excess over weekday value:",{"$f":"K221/'Motor Vs'!K221-1","v":0.39037424463705994},null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,"Traffic-wghtd avg mph, 24h",null,null,{"$f":"$N$164/SUMPRODUCT(G218:M218,G164:M164)","v":29.11671218466898},null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"7. Baseline Trip Durations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Each trip has four parts; calculating durations for \"entry\" parts is straightforward since time period, hence speed, is known; \"exit\" parts are assumed to fall randomly but to conform to percentages of outbound trips occurring within each respective period; associated speeds are calculated as percentage-weighted harmonic means, since duration is inversely related to speed.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227},null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228},"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes) Could be modified by tying in \"trip cycle\" ests. from Taxis worksheet.",null,null,null,null,null,null,null,null,"Trip Durations (in minutes, segmented by trip portions)",null,null,null,null,null,null,null,null,"Trip Durations (in minutes) Could be modified by tying in \"trip cycle\" ests. from Taxis or UberLyft worksheets."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":230},{"$f":"$I$99*60/P201","v":5.1279937620363683},8.0369536232691718,11.339105790518758,13.348181504303376,10.458289504301359,8.3606148579917825,null,{"$f":"SUMPRODUCT(P$164:V$164,P230:V230)/W$164","v":9.1189692595852971},null,{"$f":"$J$99*60/Y201","v":5.1279937620363683},8.0369536232691718,11.339105790518758,13.348181504303376,10.458289504301359,8.3606148579917825,null,{"$f":"SUMPRODUCT(Y$164:AE$164,Y230:AE230)/AF$164","v":9.5711319820806278},null,{"$f":"$K$99*60/AH201","v":4.7861275112339445},7.5011567150512279,10.583165404484175,12.45830273734982,9.7610702040146027,7.8032405341256652,null,{"$f":"SUMPRODUCT(AH$164:AN$164,AH230:AN230)/AO$164","v":8.5081626765309473},null,{"$f":"$L$99*60/AQ201","v":5.3978881705645989},8.4599511823886022,11.935900832125009,14.050717372950924,11.008725794001432,8.8006472189387193,null,{"$f":"SUMPRODUCT(AQ$164:AW$164,AQ230:AW230)/AX$164","v":9.3009249792426871},null,{"$f":"$M$99*60/AZ201","v":10.255987524072737},16.073907246538344,22.678211581037516,26.696363008606752,20.916579008602717,16.721229715983565,null,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ230:BF230)/BG$164","v":18.765395248249948},null,{"$f":"$N$99*60/BI201","v":5.1279937620363683},8.0369536232691718,11.339105790518758,13.348181504303376,10.458289504301359,8.3606148579917825,null,{"$f":"SUMPRODUCT(BI$164:BO$164,BI230:BO230)/BP$164","v":8.7922565397091041}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231},{"$f":"60*$I$99/(1/($P$152/$P201+$Q$152/$Q201+$R$152/$R201+$S$152/$S201+$T$152/$T201+$U$152/$U201))","v":9.2004553388894799},9.2004553388894799,9.2004553388894799,9.2004553388894799,9.2004553388894799,9.2004553388894799,null,{"$f":"SUMPRODUCT(P$164:V$164,P231:V231)/W$164","v":9.2004553388894799},null,{"$f":"60*$J$99/(1/($Y$152/$Y201+$Z$152/$Z201+$AA$152/$AA201+$AB$152/$AB201+$AC$152/$AC201+$AD$152/$AD201))","v":9.2004553388894816},9.2004553388894816,9.2004553388894816,9.2004553388894816,9.2004553388894816,9.2004553388894816,null,{"$f":"SUMPRODUCT(Y$164:AE$164,Y231:AE231)/AF$164","v":9.2004553388894816},null,{"$f":"AH230","v":4.7861275112339445},7.5011567150512279,10.583165404484175,12.45830273734982,9.7610702040146027,7.8032405341256652,null,{"$f":"SUMPRODUCT(AH$164:AN$164,AH231:AN231)/AO$164","v":8.5081626765309473},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ201+$BA$152/$BA201+$BB$152/$BB201+$BC$152/$BC201+$BD$152/$BD201+$BE$152/$BE201))","v":18.400910677778963},18.400910677778963,18.400910677778963,18.400910677778963,18.400910677778963,18.400910677778963,null,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ231:BF231)/BG$164","v":18.400910677778963}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232},{"$f":"$I$93*60/P217","v":18.444164482824295},34.13506004362673,45.303040258424168,49.567284853588099,38.996321050411865,30.660247619762245,null,{"$f":"SUMPRODUCT(P$164:V$164,P232:V232)/W$164","v":34.985288254075378},null,{"$f":"$J$93*60/Y217","v":18.444164482824295},34.13506004362673,45.303040258424168,49.567284853588099,38.996321050411865,30.660247619762245,null,{"$f":"SUMPRODUCT(Y$164:AE$164,Y232:AE232)/AF$164","v":36.65107602040478},null,{"$f":"$K$93*60/AH217","v":27.666246724236441},51.202590065440091,67.954560387636263,74.350927280382166,58.494481575617804,45.990371429643368,null,{"$f":"SUMPRODUCT(AH$164:AN$164,AH232:AN232)/AO$164","v":52.387234892049428},null,{"$f":"$L$93*60/AQ217","v":6.6312757903171509},12.272662037855707,16.287913414197096,17.821047754559004,14.020443156091041,11.023354186381951,null,{"$f":"SUMPRODUCT(AQ$164:AW$164,AQ232:AW232)/AX$164","v":12.111038250817245},null,{"$f":"$M$93*60/AZ217","v":17.241451257173456},31.909169669948561,42.348904508239421,46.335084820427035,36.453435948582921,28.660943972890244,null,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ232:BF232)/BG$164","v":33.602098881599758},null,{"$f":"$N$93*60/BI217","v":6.5649630324139796},12.149935417477149,16.125034280055125,17.642837277013413,13.88023872453013,10.913120644518131,null,{"$f":"SUMPRODUCT(BI$164:BO$164,BI232:BO232)/BP$164","v":11.92220422218662}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233},{"$f":"60*$I$93/(1/($P$152/$P217+$Q$152/$Q217+$R$152/$R217+$S$152/$S217+$T$152/$T217+$U$152/$U217))","v":35.206817366178399},35.206817366178399,35.206817366178399,35.206817366178399,35.206817366178399,35.206817366178399,null,{"$f":"SUMPRODUCT(P$164:V$164,P233:V233)/W$164","v":35.206817366178392},null,{"$f":"60*$J$93/(1/($Y$152/$Y217+$Z$152/$Z217+$AA$152/$AA217+$AB$152/$AB217+$AC$152/$AC217+$AD$152/$AD217))","v":35.206817366178413},35.206817366178413,35.206817366178413,35.206817366178413,35.206817366178413,35.206817366178413,null,{"$f":"SUMPRODUCT(Y$164:AE$164,Y233:AE233)/AF$164","v":35.20681736617842},null,{"$f":"AH232","v":27.666246724236441},51.202590065440091,67.954560387636263,74.350927280382166,58.494481575617804,45.990371429643368,null,{"$f":"SUMPRODUCT(AH$164:AN$164,AH233:AN233)/AO$164","v":52.387234892049428},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ217+$BA$152/$BA217+$BB$152/$BB217+$BC$152/$BC217+$BD$152/$BD217+$BE$152/$BE217))","v":32.911039483758856},32.911039483758856,32.911039483758856,32.911039483758856,32.911039483758856,32.911039483758856,null,{"$f":"SUMPRODUCT(AZ$164:BF$164,AZ233:BF233)/BG$164","v":32.911039483758856}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234},{"$f":"SUM(P230:P233)","v":67.979430949928542},86.579286371963775,101.0494187540108,107.32273906295936,93.861883259781109,83.428135182821904,null,88.511530218728552,null,{"$f":"SUM(Y230:Y233)","v":67.979430949928556},86.579286371963804,101.04941875401083,107.32273906295937,93.861883259781109,83.428135182821919,null,90.629480707553313,null,{"$f":"SUM(AH230:AH233)","v":64.904748470940774},117.40749356098264,157.07545158424088,173.61846003546395,136.51110355926482,107.58722392753808,null,121.79079513716076,null,{"$f":"AQ230+AQ232","v":12.02916396088175},20.732613220244311,28.223814246322107,31.871765127509928,25.029168950092473,19.824001405320672,null,21.411963230059932,null,{"$f":"SUM(AZ230:AZ233)","v":78.809388942784011},99.295027078024731,116.33906625081477,124.34339799057162,108.68196511872345,96.694123850411628,null,103.67944429138753,null,{"$f":"SUM(BI230:BI233)","v":11.692956794450348},20.186889040746323,27.464140070573883,30.991018781316789,24.338528228831489,19.273735502509915,null,20.714460761895722]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"8. Baseline Fuel Economy and Gasoline Consumption (gasoline per trip is calculated for two reasons: (i) societal importance; (ii) gasoline is a factor in total trip costs, which in turn affect sensitivity of trip volumes to congestion tolls).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"Discussion: We approximate automobile fuel economy (mpg) as function of avg speed, from equation empirically derived by two U-C Riverside researchers based on observations of vehicle speeds and mpg's on Southern California freeways. (See Speed-CO2 worksheet, which cites their paper and shows CO2 emission rates and its reciprocal, miles per gallon, for wide range of speeds.) We apply the equation throughout this worksheet, but w/ adjustment factors to reflect traffic signals and other factors that make stop-and-go driving far more frequent in NYC than in So. California; for example, fuel economy at 10 mpg on NYC streets is poorer than fuel economy at 10 mpg on California freeways.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Mpg for respective trip types and time period (values for respective trip types in different periods are shown further to right; see discussion directly above, for explanation)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Figures below employ weighted average of mpg's for trucks and buses, using formulas from Speed-CO2 worksheet."]
[null,"Within cordon",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":246},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*P201+'Speed-CO2'!$G$29*P201^2+'Speed-CO2'!$H$29*P201^3+'Speed-CO2'!$I$29*P201^4)","v":12.053981943598448},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Q201+'Speed-CO2'!$G$29*Q201^2+'Speed-CO2'!$H$29*Q201^3+'Speed-CO2'!$I$29*Q201^4)","v":9.4071081453626135},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*R201+'Speed-CO2'!$G$29*R201^2+'Speed-CO2'!$H$29*R201^3+'Speed-CO2'!$I$29*R201^4)","v":8.0677932623438036},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*S201+'Speed-CO2'!$G$29*S201^2+'Speed-CO2'!$H$29*S201^3+'Speed-CO2'!$I$29*S201^4)","v":7.5904935991187683},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*T201+'Speed-CO2'!$G$29*T201^2+'Speed-CO2'!$H$29*T201^3+'Speed-CO2'!$I$29*T201^4)","v":8.3385164552106179},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*U201+'Speed-CO2'!$G$29*U201^2+'Speed-CO2'!$H$29*U201^3+'Speed-CO2'!$I$29*U201^4)","v":9.2268183057157653},null,null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Y201+'Speed-CO2'!$G$29*Y201^2+'Speed-CO2'!$H$29*Y201^3+'Speed-CO2'!$I$29*Y201^4)","v":12.053981943598448},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Z201+'Speed-CO2'!$G$29*Z201^2+'Speed-CO2'!$H$29*Z201^3+'Speed-CO2'!$I$29*Z201^4)","v":9.4071081453626135},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AA201+'Speed-CO2'!$G$29*AA201^2+'Speed-CO2'!$H$29*AA201^3+'Speed-CO2'!$I$29*AA201^4)","v":8.0677932623438036},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AB201+'Speed-CO2'!$G$29*AB201^2+'Speed-CO2'!$H$29*AB201^3+'Speed-CO2'!$I$29*AB201^4)","v":7.5904935991187683},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AC201+'Speed-CO2'!$G$29*AC201^2+'Speed-CO2'!$H$29*AC201^3+'Speed-CO2'!$I$29*AC201^4)","v":8.3385164552106179},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AD201+'Speed-CO2'!$G$29*AD201^2+'Speed-CO2'!$H$29*AD201^3+'Speed-CO2'!$I$29*AD201^4)","v":9.2268183057157653},null,null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AH201+'Speed-CO2'!$G$29*AH201^2+'Speed-CO2'!$H$29*AH201^3+'Speed-CO2'!$I$29*AH201^4)","v":12.053981943598448},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AI201+'Speed-CO2'!$G$29*AI201^2+'Speed-CO2'!$H$29*AI201^3+'Speed-CO2'!$I$29*AI201^4)","v":9.4071081453626135},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AJ201+'Speed-CO2'!$G$29*AJ201^2+'Speed-CO2'!$H$29*AJ201^3+'Speed-CO2'!$I$29*AJ201^4)","v":8.0677932623438036},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AK201+'Speed-CO2'!$G$29*AK201^2+'Speed-CO2'!$H$29*AK201^3+'Speed-CO2'!$I$29*AK201^4)","v":7.5904935991187683},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AL201+'Speed-CO2'!$G$29*AL201^2+'Speed-CO2'!$H$29*AL201^3+'Speed-CO2'!$I$29*AL201^4)","v":8.3385164552106179},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AM201+'Speed-CO2'!$G$29*AM201^2+'Speed-CO2'!$H$29*AM201^3+'Speed-CO2'!$I$29*AM201^4)","v":9.2268183057157653},null,null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AQ201+'Speed-CO2'!$G$29*AQ201^2+'Speed-CO2'!$H$29*AQ201^3+'Speed-CO2'!$I$29*AQ201^4)","v":11.693014543023377},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AR201+'Speed-CO2'!$G$29*AR201^2+'Speed-CO2'!$H$29*AR201^3+'Speed-CO2'!$I$29*AR201^4)","v":9.1743484290170869},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AS201+'Speed-CO2'!$G$29*AS201^2+'Speed-CO2'!$H$29*AS201^3+'Speed-CO2'!$I$29*AS201^4)","v":7.9082570131433174},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AT201+'Speed-CO2'!$G$29*AT201^2+'Speed-CO2'!$H$29*AT201^3+'Speed-CO2'!$I$29*AT201^4)","v":7.4574861207024981},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AU201+'Speed-CO2'!$G$29*AU201^2+'Speed-CO2'!$H$29*AU201^3+'Speed-CO2'!$I$29*AU201^4)","v":8.1639832615302232},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AV201+'Speed-CO2'!$G$29*AV201^2+'Speed-CO2'!$H$29*AV201^3+'Speed-CO2'!$I$29*AV201^4)","v":9.003730755743085},null,null,null,{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AZ201+'Speed-CO2'!$G$29*AZ201^2+'Speed-CO2'!$H$29*AZ201^3+'Speed-CO2'!$I$29*AZ201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI201+'Speed-CO2'!$G$29*BI201^2+'Speed-CO2'!$H$29*BI201^3+'Speed-CO2'!$I$29*BI201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":5.5396649689073092},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BA201+'Speed-CO2'!$G$29*BA201^2+'Speed-CO2'!$H$29*BA201^3+'Speed-CO2'!$I$29*BA201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ201+'Speed-CO2'!$G$29*BJ201^2+'Speed-CO2'!$H$29*BJ201^3+'Speed-CO2'!$I$29*BJ201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":4.3232375571346617},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BB201+'Speed-CO2'!$G$29*BB201^2+'Speed-CO2'!$H$29*BB201^3+'Speed-CO2'!$I$29*BB201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK201+'Speed-CO2'!$G$29*BK201^2+'Speed-CO2'!$H$29*BK201^3+'Speed-CO2'!$I$29*BK201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.7077267844695574},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BC201+'Speed-CO2'!$G$29*BC201^2+'Speed-CO2'!$H$29*BC201^3+'Speed-CO2'!$I$29*BC201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL201+'Speed-CO2'!$G$29*BL201^2+'Speed-CO2'!$H$29*BL201^3+'Speed-CO2'!$I$29*BL201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.4883735254045578},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BD201+'Speed-CO2'!$G$29*BD201^2+'Speed-CO2'!$H$29*BD201^3+'Speed-CO2'!$I$29*BD201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM201+'Speed-CO2'!$G$29*BM201^2+'Speed-CO2'!$H$29*BM201^3+'Speed-CO2'!$I$29*BM201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":3.8321434125027105},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BE201+'Speed-CO2'!$G$29*BE201^2+'Speed-CO2'!$H$29*BE201^3+'Speed-CO2'!$I$29*BE201^4) + 0.5*'Hub-Bound'!$N$86* 'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN201+'Speed-CO2'!$G$29*BN201^2+'Speed-CO2'!$H$29*BN201^3+'Speed-CO2'!$I$29*BN201^4)) / (35000 + 0.5*'Hub-Bound'!$N$86)","v":4.2403815089329333},null,null,null,{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI201+'Speed-CO2'!$G$29*BI201^2+'Speed-CO2'!$H$29*BI201^3+'Speed-CO2'!$I$29*BI201^4)","v":12.053981943598448},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ201+'Speed-CO2'!$G$29*BJ201^2+'Speed-CO2'!$H$29*BJ201^3+'Speed-CO2'!$I$29*BJ201^4)","v":9.4071081453626135},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK201+'Speed-CO2'!$G$29*BK201^2+'Speed-CO2'!$H$29*BK201^3+'Speed-CO2'!$I$29*BK201^4)","v":8.0677932623438036},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL201+'Speed-CO2'!$G$29*BL201^2+'Speed-CO2'!$H$29*BL201^3+'Speed-CO2'!$I$29*BL201^4)","v":7.5904935991187683},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM201+'Speed-CO2'!$G$29*BM201^2+'Speed-CO2'!$H$29*BM201^3+'Speed-CO2'!$I$29*BM201^4)","v":8.3385164552106179},{"$f":"1000*'Speed-CO2'!$G$33*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN201+'Speed-CO2'!$G$29*BN201^2+'Speed-CO2'!$H$29*BN201^3+'Speed-CO2'!$I$29*BN201^4)","v":9.2268183057157653}]
[null,"Outside cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*P217+'Speed-CO2'!$G$29*P217^2+'Speed-CO2'!$H$29*P217^3+'Speed-CO2'!$I$29*P217^4)","v":22.17459091271963},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Q217+'Speed-CO2'!$G$29*Q217^2+'Speed-CO2'!$H$29*Q217^3+'Speed-CO2'!$I$29*Q217^4)","v":19.642266499449377},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*R217+'Speed-CO2'!$G$29*R217^2+'Speed-CO2'!$H$29*R217^3+'Speed-CO2'!$I$29*R217^4)","v":16.724415851830287},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*S217+'Speed-CO2'!$G$29*S217^2+'Speed-CO2'!$H$29*S217^3+'Speed-CO2'!$I$29*S217^4)","v":15.839556850304756},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*T217+'Speed-CO2'!$G$29*T217^2+'Speed-CO2'!$H$29*T217^3+'Speed-CO2'!$I$29*T217^4)","v":18.267515647885354},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*U217+'Speed-CO2'!$G$29*U217^2+'Speed-CO2'!$H$29*U217^3+'Speed-CO2'!$I$29*U217^4)","v":20.680875518615064},null,null,null,{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Y217+'Speed-CO2'!$G$29*Y217^2+'Speed-CO2'!$H$29*Y217^3+'Speed-CO2'!$I$29*Y217^4)","v":22.17459091271963},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*Z217+'Speed-CO2'!$G$29*Z217^2+'Speed-CO2'!$H$29*Z217^3+'Speed-CO2'!$I$29*Z217^4)","v":19.642266499449377},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AA217+'Speed-CO2'!$G$29*AA217^2+'Speed-CO2'!$H$29*AA217^3+'Speed-CO2'!$I$29*AA217^4)","v":16.724415851830287},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AB217+'Speed-CO2'!$G$29*AB217^2+'Speed-CO2'!$H$29*AB217^3+'Speed-CO2'!$I$29*AB217^4)","v":15.839556850304756},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AC217+'Speed-CO2'!$G$29*AC217^2+'Speed-CO2'!$H$29*AC217^3+'Speed-CO2'!$I$29*AC217^4)","v":18.267515647885354},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AD217+'Speed-CO2'!$G$29*AD217^2+'Speed-CO2'!$H$29*AD217^3+'Speed-CO2'!$I$29*AD217^4)","v":20.680875518615064},null,null,null,{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AH217+'Speed-CO2'!$G$29*AH217^2+'Speed-CO2'!$H$29*AH217^3+'Speed-CO2'!$I$29*AH217^4)","v":22.17459091271963},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AI217+'Speed-CO2'!$G$29*AI217^2+'Speed-CO2'!$H$29*AI217^3+'Speed-CO2'!$I$29*AI217^4)","v":19.642266499449377},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AJ217+'Speed-CO2'!$G$29*AJ217^2+'Speed-CO2'!$H$29*AJ217^3+'Speed-CO2'!$I$29*AJ217^4)","v":16.724415851830287},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AK217+'Speed-CO2'!$G$29*AK217^2+'Speed-CO2'!$H$29*AK217^3+'Speed-CO2'!$I$29*AK217^4)","v":15.839556850304756},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AL217+'Speed-CO2'!$G$29*AL217^2+'Speed-CO2'!$H$29*AL217^3+'Speed-CO2'!$I$29*AL217^4)","v":18.267515647885354},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AM217+'Speed-CO2'!$G$29*AM217^2+'Speed-CO2'!$H$29*AM217^3+'Speed-CO2'!$I$29*AM217^4)","v":20.680875518615064},null,null,null,{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AQ217+'Speed-CO2'!$G$29*AQ217^2+'Speed-CO2'!$H$29*AQ217^3+'Speed-CO2'!$I$29*AQ217^4)","v":22.232492622522535},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AR217+'Speed-CO2'!$G$29*AR217^2+'Speed-CO2'!$H$29*AR217^3+'Speed-CO2'!$I$29*AR217^4)","v":19.540578189709088},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AS217+'Speed-CO2'!$G$29*AS217^2+'Speed-CO2'!$H$29*AS217^3+'Speed-CO2'!$I$29*AS217^4)","v":16.623574330664336},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AT217+'Speed-CO2'!$G$29*AT217^2+'Speed-CO2'!$H$29*AT217^3+'Speed-CO2'!$I$29*AT217^4)","v":15.743409388684125},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AU217+'Speed-CO2'!$G$29*AU217^2+'Speed-CO2'!$H$29*AU217^3+'Speed-CO2'!$I$29*AU217^4)","v":18.162717410013649},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AV217+'Speed-CO2'!$G$29*AV217^2+'Speed-CO2'!$H$29*AV217^3+'Speed-CO2'!$I$29*AV217^4)","v":20.588388008537272},null,null,null,{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*AZ217+'Speed-CO2'!$G$29*AZ217^2+'Speed-CO2'!$H$29*AZ217^3+'Speed-CO2'!$I$29*AZ217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI217+'Speed-CO2'!$G$29*BI217^2+'Speed-CO2'!$H$29*BI217^3+'Speed-CO2'!$I$29*BI217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":10.190807075522478},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BA217+'Speed-CO2'!$G$29*BA217^2+'Speed-CO2'!$H$29*BA217^3+'Speed-CO2'!$I$29*BA217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ217+'Speed-CO2'!$G$29*BJ217^2+'Speed-CO2'!$H$29*BJ217^3+'Speed-CO2'!$I$29*BJ217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":9.0270232812757989},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BB217+'Speed-CO2'!$G$29*BB217^2+'Speed-CO2'!$H$29*BB217^3+'Speed-CO2'!$I$29*BB217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK217+'Speed-CO2'!$G$29*BK217^2+'Speed-CO2'!$H$29*BK217^3+'Speed-CO2'!$I$29*BK217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":7.6860626681977946},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BC217+'Speed-CO2'!$G$29*BC217^2+'Speed-CO2'!$H$29*BC217^3+'Speed-CO2'!$I$29*BC217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL217+'Speed-CO2'!$G$29*BL217^2+'Speed-CO2'!$H$29*BL217^3+'Speed-CO2'!$I$29*BL217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":7.2794068065821653},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BD217+'Speed-CO2'!$G$29*BD217^2+'Speed-CO2'!$H$29*BD217^3+'Speed-CO2'!$I$29*BD217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM217+'Speed-CO2'!$G$29*BM217^2+'Speed-CO2'!$H$29*BM217^3+'Speed-CO2'!$I$29*BM217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":8.3952271520780801},{"$f":"(35000*'Speed-CO2'!$G$37*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BE217+'Speed-CO2'!$G$29*BE217^2+'Speed-CO2'!$H$29*BE217^3+'Speed-CO2'!$I$29*BE217^4)+0.5*'Hub-Bound'!$N$86*'Speed-CO2'!$G$38*1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN217+'Speed-CO2'!$G$29*BN217^2+'Speed-CO2'!$H$29*BN217^3+'Speed-CO2'!$I$29*BN217^4))/(35000+0.5*'Hub-Bound'!$N$86)","v":9.5043382487931432},null,null,null,{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BI217+'Speed-CO2'!$G$29*BI217^2+'Speed-CO2'!$H$29*BI217^3+'Speed-CO2'!$I$29*BI217^4)","v":22.17459091271963},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BJ217+'Speed-CO2'!$G$29*BJ217^2+'Speed-CO2'!$H$29*BJ217^3+'Speed-CO2'!$I$29*BJ217^4)","v":19.642266499449377},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BK217+'Speed-CO2'!$G$29*BK217^2+'Speed-CO2'!$H$29*BK217^3+'Speed-CO2'!$I$29*BK217^4)","v":16.724415851830287},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BL217+'Speed-CO2'!$G$29*BL217^2+'Speed-CO2'!$H$29*BL217^3+'Speed-CO2'!$I$29*BL217^4)","v":15.839556850304756},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BM217+'Speed-CO2'!$G$29*BM217^2+'Speed-CO2'!$H$29*BM217^3+'Speed-CO2'!$I$29*BM217^4)","v":18.267515647885354},{"$f":"1000*'Speed-CO2'!$G$34*Constants!$J$15/EXP('Speed-CO2'!$E$29+'Speed-CO2'!$F$29*BN217+'Speed-CO2'!$G$29*BN217^2+'Speed-CO2'!$H$29*BN217^3+'Speed-CO2'!$I$29*BN217^4)","v":20.680875518615064}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Gallons of gasoline (values for each trip mode's different periods are shown further to right; all trip distances are doubled to capture round-trips, except for taxicabs)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Within cordon",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":250},{"$f":"2*$I$99/P246","v":0.24888041263353816},{"$f":"2*$I$99/Q246","v":0.31890778267271208},0.37184889379880554,0.39523121399486988,0.35977622831521111,0.32513916505124857,null,null,null,{"$f":"2*$J$99/Y246","v":0.24888041263353816},0.31890778267271208,0.37184889379880554,0.39523121399486988,0.35977622831521111,0.32513916505124857,null,null,null,{"$f":"2*$K$99/AH246","v":0.23228838512463565},0.29764726382786466,0.34705896754555188,0.36888246639521194,0.33579114642753038,0.30346322071449872,null,null,null,{"$f":"2*$L$99/AQ246","v":0.25656343699580414},0.32699869894972056,0.37935034167631099,0.40228033300280536,0.36746768138739327,0.33319521444890293,null,null,null,{"$f":"2*$M$99/AZ246","v":1.0830979912461189},1.3878487870966443,1.6182422138362562,1.7199992937408159,1.5657034077650809,1.4149670229813507,null,null,null,{"$f":"2*$N$99/BI246","v":0.24888041263353816},{"$f":"2*$N$99/BJ246","v":0.31890778267271208},0.37184889379880554,0.39523121399486988,0.35977622831521111,0.32513916505124857]
[null,"Outside cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251},{"$f":"2*$I$93/P247","v":1.5203806413177192},{"$f":"2*$I$93/Q247","v":1.7163914741602668},2.0158443231456222,2.1284571955805744,1.8455612357305657,1.6301930120169523,null,null,null,{"$f":"2*$J$93/Y247","v":1.5203806413177192},1.7163914741602668,2.0158443231456222,2.1284571955805744,1.8455612357305657,1.6301930120169523,null,null,null,{"$f":"2*$K$93/AH247","v":2.2805709619765788},2.5745872112404005,3.0237664847184336,3.1926857933708619,2.7683418535958491,2.4452895180254286,null,null,null,{"$f":"2*$L$93/AQ247","v":0.53975054456302618},0.61410670060519079,0.72186641460521794,0.76222371557111568,0.66069408718455536,0.58285281951282575,null,null,null,{"$f":"2*$M$93/AZ247","v":3.0925319837877767},{"$f":"2*$M$93/BA247","v":3.4912280426964775},4.1003304529461611,4.3293907950256711,3.7539659440737108,3.315895962106131,null,null,null,{"$f":"2*$N$93/BI247","v":0.54115992701884053},{"$f":"2*$N$93/BJ247","v":0.61092746095957873},0.71751384959055198,0.75759695257946047,0.65690377560394309,0.58024622744809229]
[null,"Trip total",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252},{"$f":"P250+P251","v":1.7692610539512574},2.0352992568329791,2.3876932169444278,2.5236884095754442,2.205337464045777,1.9553321770682008,null,null,null,{"$f":"Y250+Y251","v":1.7692610539512574},2.0352992568329791,2.3876932169444278,2.5236884095754442,2.205337464045777,1.9553321770682008,null,null,null,{"$f":"AH250+AH251","v":2.5128593471012146},2.8722344750682653,3.3708254522639853,3.5615682597660738,3.1041330000233796,2.7487527387399275,null,null,null,{"$f":"AQ250+AQ251","v":0.79631398155883026},0.94110539955491135,1.1012167562815289,1.1645040485739211,1.0281617685719486,0.91604803396172874,null,null,null,{"$f":"AZ250+AZ251","v":4.1756299750338961},4.8790768297931217,5.7185726667824177,6.0493900887664873,5.3196693518387921,4.7308629850874819,null,null,null,{"$f":"BI250+BI251","v":0.79004033965237874},0.92983524363229075,1.0893627433893576,1.1528281665743303,1.0166800039191541,0.90538539249934091]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"9. Baseline Parking Costs (at present, i.e., in 2010, prior to comprehensive parking management)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254},null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in Rows \",O256, \" through \",O259, \" are chosen so that wghtd %'s in last column of this column-block, when combined (wghtd) w/ analogous figure in prior column-block, will roughly yield respective %'s shown for each 'parking mode' in Parking worksheet.\")","v":"Figures in Rows 256 through 259 are chosen so that wghtd %'s in last column of this column-block, when combined (wghtd) w/ analogous figure in prior column-block, will roughly yield respective %'s shown for each 'parking mode' in Parking worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Note: The parking category \"Provided or reimbursed parking\" doesn't apply to trucks and so is left blank, below."]
[null,"Percentage breakdown of payment",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"% purchasing off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":256},0.05,0.15,0.25,0.35,0.35,0.2,null,{"$f":"SUMPRODUCT(P$139:V$139,P256:V256)/W$139","v":0.19528631546981179},null,{"$f":"P256","v":0.05},0.15,0.25,0.35,0.35,0.2,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y256:AE256)/AF$139","v":0.23422533508702179},null,"Any paid parking for through-trips is paid outside the CBD, where parking is often free (at homes, stores, office parks, factories, etc.). Our simple approach is to assume an average parking cost equal to a constant percent of the mean costs for work and ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.01,0.02,0.03,0.03,0.03,0.03,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ256:BF256)/BG$139","v":2.4288227144805958E-2}]
[null,"% purchasing on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257},0.01,0.01,0.01,0.01,0.01,0.01,null,{"$f":"SUMPRODUCT(P$139:V$139,P257:V257)/W$139","v":0.01},null,0.01,0.01,0.01,0.01,0.01,0.01,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y257:AE257)/AF$139","v":0.01},null,null,null,null,null,null,null,null,null,null,"Parking Costs are not applicable to Taxicabs",null,null,null,null,null,null,null,null,0.03,0.06,0.09,0.09,0.09,0.09,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ257:BF257)/BG$139","v":7.2864681434417863E-2},null,"Parking Costs are not applicable to UberLyfts"]
[null,"% whose parking is provided or reimbursed",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258},0.05,0.05,0.1,0.1,0.05,0.05,null,{"$f":"SUMPRODUCT(P$139:V$139,P258:V258)/W$139","v":7.0010227018669574E-2},null,0.05,0.05,0.1,0.1,0.05,0.05,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y258:AE258)/AF$139","v":7.6346937515943417E-2}]
[null,"% parking w/o paying",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259},{"$f":"1-SUM(P256:P258)","v":0.89},0.79,0.64,0.54,0.59000000000000008,0.74,null,{"$f":"SUMPRODUCT(P$139:V$139,P259:V259)/W$139","v":0.72470345751151888},null,{"$f":"1-SUM(Y256:Y258)","v":0.89},0.79,0.64,0.54,0.59000000000000008,0.74,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y259:AE259)/AF$139","v":0.67942772739703483},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ256-AZ257","v":0.96},0.91999999999999993,0.88,0.88,0.88,0.88,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ259:BF259)/BG$139","v":0.90284709142077613}]
[null,"Parking charges (rates paid for trips that pay for parking)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260},{"$f":"CONCATENATE(\"Costs in Rows \",$O$261, \" and \",$O$263, \" are product of ratio in Row \",$O$264, \" and respective figures in 'Motor Vs' worksheet.\")","v":"Costs in Rows 261 and 263 are product of ratio in Row 264 and respective figures in 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Costs in Rows \",$O$261, \" and \",$O$263, \" are product of ratio in Row \",$O$264, \" and respective figures in 'Motor Vs' worksheet.\")","v":"Costs in Rows 261 and 263 are product of ratio in Row 264 and respective figures in 'Motor Vs' worksheet."}]
[null,"Purchased off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":261},{"$f":"$W$264*'Motor Vs'!P261","v":7.5},{"$f":"$W$264*'Motor Vs'!Q261","v":15},{"$f":"$W$264*'Motor Vs'!R261","v":26.25},{"$f":"$W$264*'Motor Vs'!S261","v":26.25},{"$f":"$W$264*'Motor Vs'!T261","v":26.25},{"$f":"$W$264*'Motor Vs'!U261","v":20.25},null,{"$f":"SUMPRODUCT(P$139:V$139,P261:V261)/W$139","v":18.763647831140325},null,{"$f":"$AF$264*'Motor Vs'!Y261","v":7.5},{"$f":"$AF$264*'Motor Vs'!Z261","v":15},{"$f":"$AF$264*'Motor Vs'!AA261","v":26.25},{"$f":"$AF$264*'Motor Vs'!AB261","v":26.25},{"$f":"$AF$264*'Motor Vs'!AC261","v":26.25},{"$f":"$AF$264*'Motor Vs'!AD261","v":20.25},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y261:AE261)/AF$139","v":21.328548677207003},null,"Assumed parking cost for through-trips, % of mean for auto work and non-work:",null,null,null,null,null,{"$f":"'Motor Vs'!AN261","v":0.12},null,null,null,null,null,null,null,null,null,null,null,{"$f":"1.5*Y261","v":11.25},22.5,39.375,39.375,39.375,30.375,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ261:BF261)/BG$139","v":30.321641747846442}]
[null,"Purchased on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262},1,2,2,3,2,2,null,{"$f":"SUMPRODUCT(P$139:V$139,P262:V262)/W$139","v":1.7983599304163063},null,1,2,2,3,2,2,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y262:AE262)/AF$139","v":2.0378104288796095},null,null,null,null,null,null,null,"(copied from analogous cell in Motor V's tab)",null,null,null,null,null,null,null,null,null,null,null,1.5,3,3,4.5,3,3,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ262:BF262)/BG$139","v":2.9148111134567696}]
[null,"Provided or reimbursed parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263},{"$f":"$W$264*'Motor Vs'!P263","v":4.6875},{"$f":"$W$264*'Motor Vs'!Q263","v":4.6875},{"$f":"$W$264*'Motor Vs'!R263","v":4.6875},{"$f":"$W$264*'Motor Vs'!S263","v":4.6875},{"$f":"$W$264*'Motor Vs'!T263","v":4.6875},{"$f":"$W$264*'Motor Vs'!U263","v":4.6875},null,{"$f":"SUMPRODUCT(P$139:V$139,P263:V263)/W$139","v":4.6875000000000009},null,{"$f":"$AF$264*'Motor Vs'!Y263","v":4.6875},{"$f":"$AF$264*'Motor Vs'!Z263","v":4.6875},{"$f":"$AF$264*'Motor Vs'!AA263","v":4.6875},{"$f":"$AF$264*'Motor Vs'!AB263","v":4.6875},{"$f":"$AF$264*'Motor Vs'!AC263","v":4.6875},{"$f":"$AF$264*'Motor Vs'!AD263","v":4.6875},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y263:AE263)/AF$139","v":4.6875}]
[null,"Average parking charges (rates paid times percentage of trips that pay for parking)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264},"Assumed ratio of cost of off-street parking (lot/garage) or provided/reimbursed parking to Weekday rate:",null,null,null,null,null,null,{"$f":"3/4","v":0.75},null,"Assumed ratio of cost of off-street parking (lot/garage) or provided/reimbursed parking to Weekday rate:",null,null,null,null,null,null,{"$f":"W264","v":0.75}]
[null,"Purchased off-street parking (paid lot or garage)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":265},{"$f":"P256*P261","v":0.375},2.25,6.5625,9.1875,9.1875,4.05,null,{"$f":"SUMPRODUCT(P$139:V$139,P265:V265)/W$139","v":4.5665248967333243},null,{"$f":"Y256*Y261","v":0.375},2.25,6.5625,9.1875,9.1875,4.05,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y265:AE265)/AF$139","v":5.7294294545971773},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ256*AZ261","v":0.1125},0.45,1.1812499999999999,1.1812499999999999,1.1812499999999999,0.91125]
[null,"Purchased on-street metered parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266},0.01,0.02,0.02,0.03,0.02,0.02,null,{"$f":"SUMPRODUCT(P$139:V$139,P266:V266)/W$139","v":1.7983599304163062E-2},null,0.01,0.02,0.02,0.03,0.02,0.02,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y266:AE266)/AF$139","v":2.0378104288796089E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.4999999999999998E-2,0.18,0.27,0.40499999999999997,0.27,0.27]
[null,"Provided or reimbursed parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267},0.234375,0.234375,0.46875,0.46875,0.234375,0.234375,null,{"$f":"SUMPRODUCT(P$139:V$139,P267:V267)/W$139","v":0.32817293915001366},null,0.234375,0.234375,0.46875,0.46875,0.234375,0.234375,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y267:AE267)/AF$139","v":0.35787626960598484}]
[null,"Amount paid for parking (sum of three prior rows)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268},{"$f":"SUM(P265:P267)","v":0.61937500000000001},2.504375,7.0512499999999996,9.6862499999999994,9.4418749999999996,4.3043749999999994,null,{"$f":"SUMPRODUCT(P$139:V$139,P268:V268)/W$139","v":4.9126814351875003},null,{"$f":"SUM(Y265:Y267)","v":0.61937500000000001},2.504375,7.0512499999999996,9.6862499999999994,9.4418749999999996,4.3043749999999994,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y268:AE268)/AF$139","v":6.1076838284919601},null,{"$f":"$AN$261*AVERAGE(P268,Y268)","v":7.4325000000000002E-2},0.30052499999999999,0.84614999999999996,1.1623499999999998,1.1330249999999999,0.5165249999999999,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH268:AN268)/AO$139","v":0.59634289198973878},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ265+AZ266","v":0.1575},0.63,1.4512499999999999,1.5862499999999999,1.4512499999999999,1.1812499999999999,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ268:BF268)/BG$139","v":1.0674921265781028}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gasoline Costs don't figure into Taxi Usage algorithm, but are shown here for interest and completeness.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fuel cost figures Include adder for higher diesel cost, from Cell W\",O277, \".\")","v":"Fuel cost figures Include adder for higher diesel cost, from Cell W277."},null,null,null,null,null,null,null,null,"Gasoline Costs don't figure into Taxi Usage algorithm, but are shown here for interest and completeness."]
[null,"10. Baseline Trip Costs (w/o cordon fee; based on 2010 prices and conditions) shown for each trip type; each entry is sum of respective entries in 4 next rows",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270},{"$f":"SUM(P271:P274)","v":9.9990115204696828},14.124075058940226,19.943403537030218,22.722278601893372,21.554685859857337,15.817426024505764,null,{"$f":"SUMPRODUCT(P$139:V$139,P270:V270)/W$139","v":16.407393013781231},null,{"$f":"SUM(Y271:Y274)","v":9.9990115204696828},14.124075058940226,19.943403537030218,22.722278601893372,21.554685859857337,15.817426024505764,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y270:AE270)/AF$139","v":18.061658777643082},null,{"$f":"SUM(AH271:AH274)","v":14.222831645389576},17.626048641664347,20.043456164935485,20.486941617287989,19.131054364034178,17.69688595101394,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH270:AN270)/AO$139","v":17.771201544664795},null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AZ271:AZ274)","v":22.039444793886229},27.757172006301282,31.75743571383072,32.446721302426319,29.983912151626971,28.086130835457084,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ270:BF270)/BG$139","v":28.680948988202079}]
[null,"Fuel",{"$f":"CONCATENATE(\"Fuel costs are calc'd from gallons est'd in  Row \",O252, \" and gas price in Row \",O277, \". Parking is derived in Rows \",O254, \"-\",O268, \". Tolls are from 'Bridges', Rows \",Bridges!O46, \" (peak) and \",Bridges!O55, \" (off-pk).\")","v":"Fuel costs are calc'd from gallons est'd in  Row 252 and gas price in Row 277. Parking is derived in Rows 254-268. Tolls are from 'Bridges', Rows 46 (peak) and 55 (off-pk)."},null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":271},{"$f":"P252*$V$277/100","v":5.1308570564586464},5.9023678448156396,6.9243103291388408,7.3186963877687878,6.3954786457327533,5.6704633134977822,null,{"$f":"SUMPRODUCT(P$139:V$139,P271:V271)/W$139","v":6.1531218945995603},null,{"$f":"Y252*$V$277/100","v":5.1308570564586464},5.9023678448156396,6.9243103291388408,7.3186963877687878,6.3954786457327533,5.6704633134977822,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y271:AE271)/AF$139","v":6.4208900236987549},null,{"$f":"AH252*$V$277/100","v":7.2872921065935223},8.3294799776979698,9.7753938115655572,10.328547953321612,9.0019857000678005,7.97138294234579,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH271:AN271)/AO$139","v":8.7129686355309826},null,{"$f":"AQ252*$V$277/100","v":2.3093105465206079},2.729205658709243,3.1935285932164339,3.3770617408643711,2.981669128858651,2.6565392984890135,null,null,null,{"$f":"AZ252*$V$277*(1+$W$278)/100","v":13.320259620358131},15.56425508704006,18.242246807035915,19.297554383165096,16.969745232365746,15.091452922429069,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ271:BF271)/BG$139","v":16.60236336518593},null,{"$f":"BI252*$V$277/100","v":2.2911169849918984},2.6965222065336434,3.1591519558291368,3.343201683065558,2.9483720113655472,2.6256176382480887]
[null,"Parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272},{"$f":"P268","v":0.61937500000000001},2.504375,7.0512499999999996,9.6862499999999994,9.4418749999999996,4.3043749999999994,null,{"$f":"SUMPRODUCT(P$139:V$139,P272:V272)/W$139","v":4.9126814351875003},null,{"$f":"Y268","v":0.61937500000000001},2.504375,7.0512499999999996,9.6862499999999994,9.4418749999999996,4.3043749999999994,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y272:AE272)/AF$139","v":6.1076838284919601},null,{"$f":"AH268","v":7.4325000000000002E-2},0.30052499999999999,0.84614999999999996,1.1623499999999998,1.1330249999999999,0.5165249999999999,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH272:AN272)/AO$139","v":0.59634289198973878},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ268","v":0.1575},0.63,1.4512499999999999,1.5862499999999999,1.4512499999999999,1.1812499999999999,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ272:BF272)/BG$139","v":1.0674921265781028}]
[null,"Tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$46","v":3.0307377076642803},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"0.5*Bridges!$M$46+0.5*Bridges!$M$55","v":2.9054822107808835},null,{"$f":"SUMPRODUCT(P$139:V$139,P273:V273)/W$139","v":2.8615122632940673},null,{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$46","v":3.0307377076642803},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"Bridges!$M$55","v":2.7802267138974872},{"$f":"0.5*Bridges!$M$46+0.5*Bridges!$M$55","v":2.9054822107808835},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y273:AE273)/AF$139","v":2.8681227470806809},null,{"$f":"Bridges!$M$55*$AM$275","v":4.7263854136257288},{"$f":"Bridges!$M$55*$AM$275","v":4.7263854136257288},{"$f":"Bridges!$M$46*$AM$275","v":5.1522541030292768},{"$f":"Bridges!$M$55*$AM$275","v":4.7263854136257288},{"$f":"Bridges!$M$55*$AM$275","v":4.7263854136257288},{"$f":"(0.5*Bridges!$M$46+0.5*Bridges!$M$55)*$AM$275","v":4.9393197583275024},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH273:AN273)/AO$139","v":4.8533732709771948},null,null,null,null,null,null,null,null,null,null,{"$f":"$BF$275*Bridges!$M$55","v":5.5604534277949744},{"$f":"$BF$275*Bridges!$M$55","v":5.5604534277949744},{"$f":"$BF$275*Bridges!$M$46","v":6.0614754153285606},{"$f":"$BF$275*Bridges!$M$55","v":5.5604534277949744},{"$f":"$BF$275*Bridges!$M$55","v":5.5604534277949744},{"$f":"$BF$275*(0.5*Bridges!$M$46+0.5*Bridges!$M$55)","v":5.8109644215617671},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ273:BF273)/BG$139","v":5.7273127607710164}]
[null,"Other (perceived cost of citations, incremental maint. crashes, etc.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274},{"$f":"2*$I$101*'Trip Price'!$N$22","v":1.4685527501135496},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$I$101*'Trip Price'!$L$22","v":2.9371055002270992},null,{"$f":"SUMPRODUCT(P$139:V$139,P274:V274)/W$139","v":2.4800774207001024},null,{"$f":"2*$J$101*'Trip Price'!$N$22","v":1.4685527501135496},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.9371055002270992},{"$f":"2*$J$101*'Trip Price'!$L$22","v":2.9371055002270992},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y274:AE274)/AF$139","v":2.6649621783716868},null,{"$f":"2*$K$101*'Trip Price'!$N$22","v":2.1348291251703246},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.2696582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.2696582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.2696582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.2696582503406493},{"$f":"2*$K$101*'Trip Price'!$L$22","v":4.2696582503406493},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH274:AN274)/AO$139","v":3.6085167461668788},null,null,null,null,null,null,null,null,null,null,{"$f":"2*$BF$275*$M$101*'Trip Price'!$N$22","v":3.0012317457331235},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":6.0024634914662469},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":6.0024634914662469},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":6.0024634914662469},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":6.0024634914662469},{"$f":"2*$BF$275*$M$101*'Trip Price'!$L$22","v":6.0024634914662469},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ274:BF274)/BG$139","v":5.2837807356670314}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"# of tolls (baseline) for thru-trips, ratio to that for non-thru trips (Komanoff est.): ",{"$f":"1+$I$57","v":1.7000000000000002},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumed current truck/auto ratio of per-mile \"other\" costs (Komanoff estimate):",2]
[null,"C. Calculate applicable toll for each trip type and time period, calculate average increase in trip cost, and estimate reduction in number of trips due to price impact (Congestion Charge Traffic Impacts, Round 1)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277},null,"Assumed Gasoline Price (cents/gallon) for CBD trips (rounded):",null,null,null,null,{"$f":"'Motor Vs'!V277","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278},null,"Copied from corresponding cell in Motor Vs worksheet and sourced there.",null,null,null,null,"Diesel adder:",0.1]
[null,"1. New Cordon Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"New Toll (tolls differ among trip periods and by vehicle type; figures in row don't yet reflect whether tolls: replace or add to current tolls; apply to entire cordon or just \"free\" bridges; include applicable discounts. They're inputted from 'Weekday Hours' tab).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"This line is nominal toll:",{"$f":"ROW()","v":282},{"$f":"VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},null,{"$f":"SUMPRODUCT(P$139:V$139,P282:V282)/W$139","v":6.2476898523389899},null,{"$f":"VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y$282:AE$282)/AF$139","v":7.8600974677703919},null,{"$f":"VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)*IF('Policy Levers'!$K$71=\"YES\",(1+$I$57),1)","v":1.0000000000000001E-5},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH$282:AN$282)/AO$139","v":6.1738393918262719},null,{"$f":"VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ$282:AW$282)/AX$139","v":7.14387900059375},null,{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":2.507245098039216E-5},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":2.507245098039216E-5},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":30.688680000000005},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":30.688680000000005},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":30.688680000000005},{"$f":"'Policy Levers'!$K$98*VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)*(1+$M91)","v":2.507245098039216E-5},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ$282:BF$282)/BG$139","v":17.911455605223974},null,{"$f":"VLOOKUP('Weekend Hours'!$H$33,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$43,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},{"$f":"VLOOKUP('Weekend Hours'!$H$45,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$50,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$53,'Weekend Hours'!$G$5:$H$9,2)","v":12.24},{"$f":"VLOOKUP('Weekend Hours'!$H$55,'Weekend Hours'!$G$5:$H$9,2)","v":1.0000000000000001E-5},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI$282:BO$282)/BP$139","v":6.4067899234169552}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283},"Auto tolls shown above are literally \"looked up\" from toll schedule in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Tolls shown above are literally 'looked up' from toll schedule in by Hour worksheet and are then 'marked up' by \",I57*100, \"%, per Cell I\",O57, \", to reflect share of through-entries that will pay second cordon toll when their return leg re-enters cordon.\")","v":"Tolls shown above are literally 'looked up' from toll schedule in by Hour worksheet and are then 'marked up' by 70%, per Cell I57, to reflect share of through-entries that will pay second cordon toll when their return leg re-enters cordon."},null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in By Hour Wknd worksheet.",null,null,null,null,null,null,null,null,"Truck tolls are \"looked up\" from toll schedule in by Hour worksheet, and then multiplied by toll ratio of truck-bus to auto from Policy Levers.",null,null,null,null,null,null,null,null,"Auto tolls shown above are literally \"looked up\" from toll schedule in By Hour Wknd worksheet."]
[null,"Does new toll cover entire cordon, or just some of the free bridges?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"Port Authority Toll for Lincoln and Holland Tunnels (inbound) during period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},null,{"$f":"SUMPRODUCT(P$139:V$139,P286:V286)/W$139","v":11.521306272138991},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y286:AE286)/AF$139","v":11.747519582040598},null,{"$f":"P286*(1+$I$57)","v":17.850000000000001},19.55,21.250000000000004,21.250000000000004,19.55,17.850000000000001,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH286:AN286)/AO$139","v":19.584350254394565},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ286:AW286)/AX$139","v":11.649292240051889},null,{"$f":"PA_Offpeak_Toll_EZPass*(1+$M$91)*'Policy Levers'!$K$98","v":26.326073529411769},{"$f":"(1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass)*(1+$M$91)*'Policy Levers'!$K$98","v":28.833318627450982},{"$f":"PA_Peak_Toll_EZPass*(1+$M$91)*'Policy Levers'!$K$98","v":31.340563725490199},{"$f":"PA_Peak_Toll_EZPass*(1+$M$91)*'Policy Levers'!$K$98","v":31.340563725490199},{"$f":"(1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass)*(1+$M$91)*'Policy Levers'!$K$98","v":28.833318627450982},{"$f":"PA_Offpeak_Toll_EZPass*(1+$M$91)*'Policy Levers'!$K$98","v":26.326073529411769},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ286:BF286)/BG$139","v":29.20763086449637},null,{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"PA_Peak_Toll_EZPass","v":12.5},{"$f":"1/2*PA_Offpeak_Toll_EZPass+1/2*PA_Peak_Toll_EZPass","v":11.5},{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI286:BO286)/BP$139","v":11.50966284111054}]
[null,"Applies named ranges for PA Off-peak and On-peak tolls, as applicable (all assume E-ZPass). These figures will be pertinent if choice is made to charge differential betw cordon toll & PA toll.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"We now divide cordon-entering trips by \"portals\" so calculations can reflect different treatment by portal (as specified in toll scenarios in 'Policy Levers').",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,"Round-trips not in totals",null,"Round-trips paying\nfull toll",null,null,"Round-trips paying\nzero or contingent toll",null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,null,{"$f":"CONCATENATE(\"Figures directly to right are 1/2 of trips into Manhattan via QBB Upper Roadway that don't cross into CBD. (See 'Hub-Bound' tab, Row \",'Hub-Bound'!R115, \"). Under Move NY - Sam Schwartz Plan, these are tolled at same rate as trips on Triboro or other 'major' TBTA crossings. 1/2 converts one-way to round trips.\")","v":"Figures directly to right are 1/2 of trips into Manhattan via QBB Upper Roadway that don't cross into CBD. (See 'Hub-Bound' tab, Row 115). Under Move NY - Sam Schwartz Plan, these are tolled at same rate as trips on Triboro or other 'major' TBTA crossings. 1/2 converts one-way to round trips."},null,"QBB trips into Manhatt. that never enter cordon",null,null,"ER bridges, less QBB trips outside cordon",null,null,null,null,null,{"$f":"CONCATENATE(\"Figure in Cell M\",O297, \" should match figure in Cell H\",O39, \" save for rounding.\")","v":"Figure in Cell M297 should match figure in Cell H39 save for rounding."},{"$f":"ROW()","v":293}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,"East River tunnels","Hudson River tunnels",null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,"60th Street",null,null,null,null,null,"Total",null,{"$f":"ROW()","v":296},null,null,null,null,null,null,"% of auto work-trip crossings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of auto non-work-trip x-ings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of auto thru-trip crossings into cordon that are by vehicle that crosses more than once in same day:",0.01,null,null,null,null,null,null,null,"% of taxi crossings into cordon that are by vehicle that crosses more than once in same day:",0.9,null,null,null,null,null,null,null,"% of truck crossings into cordon that are by vehicle that crosses more than once in same day:",7.4999999999999997E-2,null,null,null,null,null,null,null,"% of UberLyft crossings into cordon that are by vehicle that crosses more than once in same day:",0.8]
[null,null,null,null,{"$f":"1/2*'Hub-Bound'!O97*Weekends!$L$21","v":9135.3816836139431},null,{"$f":"1/2*'Hub-Bound'!O102*Weekends!$L$21","v":264315.54362729669},{"$f":"1/2*'Hub-Bound'!O104*Weekends!$L$21","v":186024.24009819215},null,{"$f":"1/2*'Hub-Bound'!O105*Weekends!$L$21","v":59186.476796939642},{"$f":"1/2*'Hub-Bound'!O103*Weekends!$L$21","v":85262.598456658874},null,{"$f":"SUM(G297:K297)","v":594788.85897908732},null,{"$f":"ROW()","v":297},null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,null,"Komanoff estimate",null,null,null,null,null,null,null,"Komanoff estimate. ",null,null,null,null,null,null,null,null,null,"Komanoff estimate. Combines prior 5% and 15% for trucks and buses alone, respectively.",null,null,null,null,null,null,null,"Komanoff estimate. "]
[null,null,null,null,{"$f":"E297/$M$297","v":1.535903295043921E-2},null,{"$f":"G297/$M$297","v":0.44438549854645137},{"$f":"H297/$M$297","v":0.31275676618672632},null,{"$f":"J297/$M$297","v":9.9508381677708299E-2},{"$f":"K297/$M$297","v":0.14334935358911405},null,{"$f":"SUM(F298:K298)","v":1},null,{"$f":"ROW()","v":298},null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$77","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such taxi trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$78","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such truck trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$79","v":1},null,null,null,null,null,null,null,"Discount applied to second or more such trip:",{"$f":"IF('Policy Levers'!$K$74=\"YES\",1,0)*'Policy Levers'!$K$78","v":1}]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"%'s in Row \",O298, \" are respective ratios of figures in Row \",O297, \" to total in Cell M\",O297, \".\")","v":"%'s in Row 298 are respective ratios of figures in Row 297 to total in Cell M297."},null,null,null,null,null,null,null,{"$f":"ROW()","v":299},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O$77, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 77."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O78, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 78."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O79, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 79."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Discount is looked up from 'Policy Levers' worksheet, Row \",'Policy Levers'!$O78, \".\")","v":"Discount is looked up from 'Policy Levers' worksheet, Row 78."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon-crossing trips paying full toll (60th St + ER bridges, or ER bridges alone, depending upon plan inputs):",{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs in columns are product of nominal toll in Row \",$O$282, \" and either (i) sum of Cells G\",$O$298, \" and H\",$O$298, \" or cell H\",$O$298,\" alone, depending upon IF stmnt keyed to plan selected.\")","v":"Figs in columns are product of nominal toll in Row 282 and either (i) sum of Cells G298 and H298 or cell H298 alone, depending upon IF stmnt keyed to plan selected."},null,"Base Toll:",{"$f":"ROW()","v":302},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*P282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Q282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*R282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*S282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*T282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*U282","v":7.5714226473317774E-6},null,{"$f":"SUMPRODUCT(P$139:V$139,P302:V302)/W$139","v":4.7303900441504352},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Y282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*Z282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AA282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AB282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AC282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AD282","v":7.5714226473317774E-6},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y302:AE302)/AF$139","v":5.9512119977711917},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AH282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AI282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AJ282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AK282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AL282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AM282","v":7.5714226473317774E-6},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH302:AN302)/AO$139","v":4.6744747392262491},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AQ282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AR282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AS282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AT282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AU282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AV282","v":7.5714226473317774E-6},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ302:AW302)/AX$139","v":5.4089327254893425},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*AZ282","v":1.8983412317705702E-5},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BA282","v":1.8983412317705702E-5},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BB282","v":23.235696676871779},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BC282","v":23.235696676871779},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BD282","v":23.235696676871779},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BE282","v":1.8983412317705702E-5},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ302:BF302)/BG$139","v":13.561520061607048},null,{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BI282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BJ282","v":7.5714226473317774E-6},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BK282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BL282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BM282","v":9.2674213203340958},{"$f":"IF('Policy Levers'!$K$46=\"CORDON\", ($G$298+$H$298),$H$298)*BN282","v":7.5714226473317774E-6},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI302:BO302)/BP$139","v":4.8508514322856167}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as preceding note, except cell sum is multiplied by non-EZ-Pass % from 'Cordon' and applicable surcharge from 'Policy Levers'.\")","v":"Same as preceding note, except cell sum is multiplied by non-EZ-Pass % from 'Cordon' and applicable surcharge from 'Policy Levers'."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":303},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!P302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!Q302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!R302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!S302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!T302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!U302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},null,{"$f":"SUMPRODUCT(P$139:V$139,P303:V303)/W$139","v":0.13062678389892549},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!Y302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!Z302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AA302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AB302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AC302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AD302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y303:AE303)/AF$139","v":0.16433902412145945},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AH302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AI302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AJ302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AK302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AL302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AM302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH303:AN303)/AO$139","v":0.12908271747209749},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AQ302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AR302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AS302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AT302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AU302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AV302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ303:AW303)/AX$139","v":0.14936431872674827},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!AZ302*(1-Cordon!$J$110)","v":5.2421514406736377E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BA302*(1-Cordon!$J$110)","v":5.2421514406736377E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BB302*(1-Cordon!$J$110)","v":0.64163933633845316},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BC302*(1-Cordon!$J$110)","v":0.64163933633845316},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BD302*(1-Cordon!$J$110)","v":0.64163933633845316},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BE302*(1-Cordon!$J$110)","v":5.2421514406736377E-7},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ303:BF303)/BG$139","v":0.37449295594960663},null,{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BI302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BJ302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BK302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BL302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BM302*(1-Cordon!$J$110)","v":0.25591408547981426},{"$f":"'Policy Levers'!$K$95*'Motor Vs Weekends'!BN302*(1-Cordon!$J$110)","v":2.0908013519592669E-7},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI303:BO303)/BP$139","v":0.13395325033599176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"East River tunnels:",{"$f":"ROW()","v":304}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in columns are product of respective nominal toll in Row \",$O$282, \" and Cell J\",$O$298, \", but only if plan selected includes increment to tunnel tolls.\")","v":"Figures in columns are product of respective nominal toll in Row 282 and Cell J298, but only if plan selected includes increment to tunnel tolls."},null,"Base Toll:",{"$f":"ROW()","v":305},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",P282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Q282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",R282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",S282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",T282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",U282,0)","v":0},null,{"$f":"SUMPRODUCT(P$139:V$139,P305:V305)/W$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Y282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",Z282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AA282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AB282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AC282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AD282,0)","v":0},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y305:AE305)/AF$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AH282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AI282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AJ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AK282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AL282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AM282,0)","v":0},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH305:AN305)/AO$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AQ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AR282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AS282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AT282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AU282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AV282,0)","v":0},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ305:AW305)/AX$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",AZ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BA282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BB282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BC282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BD282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BE282,0)","v":0},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ305:BF305)/BG$139","v":0},null,{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BI282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BJ282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BK282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BL282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BM282,0)","v":0},{"$f":"$J298*IF('Policy Levers'!$K60=\"YES\",BN282,0)","v":0},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI305:BO305)/BP$139","v":0}]
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[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O303,\", \",O306, \", \",O309, \", \",O312, \" and \",O315,\".\")","v":"Sum of Rows 303, 306, 309, 312 and 315."},null,"Cash-payer Surcharge:",{"$f":"ROW()","v":318},{"$f":"P303+P306+P309+P312+P315","v":2.0908013519592669E-7},2.0908013519592669E-7,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,null,{"$f":"SUMPRODUCT(P$139:V$139,P318:V318)/W$139","v":0.13062678389892549},null,{"$f":"Y303+Y306+Y309+Y312+Y315","v":2.0908013519592669E-7},2.0908013519592669E-7,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y318:AE318)/AF$139","v":0.16433902412145945},null,{"$f":"AH303+AH306+AH309+AH312+AH315","v":2.0908013519592669E-7},2.0908013519592669E-7,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH318:AN318)/AO$139","v":0.12908271747209749},null,{"$f":"AQ303+AQ306+AQ309+AQ312+AQ315","v":2.0908013519592669E-7},2.0908013519592669E-7,0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ318:AW318)/AX$139","v":0.14936431872674827},null,{"$f":"AZ303+AZ306+AZ309+AZ312+AZ315","v":5.2421514406736377E-7},5.2421514406736377E-7,0.64163933633845316,0.64163933633845316,0.64163933633845316,5.2421514406736377E-7,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ318:BF318)/BG$139","v":0.37449295594960663},null,{"$f":"BI303+BI306+BI309+BI312+BI315","v":2.0908013519592669E-7},{"$f":"BJ303+BJ306+BJ309+BJ312+BJ315","v":2.0908013519592669E-7},0.25591408547981426,0.25591408547981426,0.25591408547981426,2.0908013519592669E-7,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI318:BO318)/BP$139","v":0.13395325033599176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$317,\" and \",O318, \".\")","v":"Sum of Rows 317 and 318."},{"$f":"ROW()","v":320},{"$f":"P317+P318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P320:V320)/W$139","v":4.86101682804936},null,{"$f":"Y317+Y318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y320:AE320)/AF$139","v":6.1155510218926512},null,{"$f":"AH317+AH318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH320:AN320)/AO$139","v":4.8035574566983463},null,{"$f":"AQ317+AQ318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ320:AW320)/AX$139","v":5.5582970442160899},null,{"$f":"AZ317+AZ318","v":1.9507627461773066E-5},1.9507627461773066E-5,23.877336013210233,23.877336013210233,23.877336013210233,1.9507627461773066E-5,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ320:BF320)/BG$139","v":13.936013017556656},null,{"$f":"BI317+BI318","v":7.7805027825277037E-6},7.7805027825277037E-6,9.5233354058139099,9.5233354058139099,9.5233354058139099,7.7805027825277037E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI320:BO320)/BP$139","v":4.9848046826216077}]
[null,"Reductions for trips exiting/entering Bklyn Bridge that did not or will not enter cordon and thus will be exempted from cordon toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Total # round-trips that could be exempted on typical weekday:",null,null,null,null,{"$f":"Weekends!V154*'Hub-Bound'!E131/2","v":12330.533718548784},"# exempted, based on IF statement in 'Policy Levers':",null,null,null,{"$f":"IF('Policy Levers'!K68=\"Yes\",1,0)*G322","v":12330.533718548784},null,{"$f":"CONCATENATE(\"Row \",O327, \" deducts 1 ppt from each mode in Row \",O326, \" and adds 4 ppt to Thru Trips.\")","v":"Row 327 deducts 1 ppt from each mode in Row 326 and adds 4 ppt to Thru Trips."},{"$f":"ROW()","v":322},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figure at right multiplied Cell H\",O327, \" (Auto Work trips' share of exempted BBr trips), x Cell L\",O322, \" (# of exempted trips).\")","v":"Figure at right multiplied Cell H327 (Auto Work trips' share of exempted BBr trips), x Cell L322 (# of exempted trips)."},{"$f":"-H327*$L$322","v":-1822.5115709599559},null,null,null,null,null,null,null,null,{"$f":"-I327*$L$322","v":-5711.7070201980305},null,null,null,null,null,null,null,null,{"$f":"-J327*$L$322","v":-2980.3557426120674},null,null,null,null,null,null,null,null,{"$f":"-K327*$L$322","v":-615.51987981710545},null,null,null,null,null,null,null,null,{"$f":"-L327*$L$322","v":0},null,null,null,null,null,null,null,null,{"$f":"-M327*$L$322","v":-1188.5361372283578}]
[null,{"$f":"CONCATENATE(\"Same as figure in same cell (G\",O322, \") in 'Motor Vs' tab, multiplied by weekend/weekday ratio in 'Weekends' tab, Cell V\",Weekends!X154, \".\")","v":"Same as figure in same cell (G322) in 'Motor Vs' tab, multiplied by weekend/weekday ratio in 'Weekends' tab, Cell V154."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323},{"$f":"CONCATENATE(\"Figs in 6 columns directly below multiply exempted % in Cell W\",O324, \" x net toll for mode and period in Row \",O320, \".\")","v":"Figs in 6 columns directly below multiply exempted % in Cell W324 x net toll for mode and period in Row 320."}]
[null,"Assumed shares of those trips by each of the six trip types:",null,null,null,null,{"$f":"H33","v":"Total"},"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck/Bus","Uber/Lyft",null,{"$f":"ROW()","v":324},{"$f":"$W$324*P320","v":-1.7769494171732931E-7},-1.7769494171732931E-7,-0.21749860866201109,-0.21749860866201109,-0.21749860866201109,-1.7769494171732931E-7,null,{"$f":"W322/W139","v":-2.2838490864159858E-2},null,{"$f":"$AF$324*Y320","v":-1.8570811685597074E-7},-1.8570811685597074E-7,-0.2273067350317082,-0.2273067350317082,-0.2273067350317082,-1.8570811685597074E-7,null,{"$f":"AF322/AF139","v":-2.3868395404087049E-2},null,{"$f":"$AO$324*AH320","v":-2.273398641991726E-7},{"$f":"$AO$324*AI320","v":-2.273398641991726E-7},-0.27826399377978728,-0.27826399377978728,-0.27826399377978728,-2.273398641991726E-7,null,{"$f":"AO322/AO139","v":-2.9219173947177126E-2},null,{"$f":"$AX$324*AQ320","v":-1.5805459200059758E-7},{"$f":"$AX$324*AR320","v":-1.5805459200059758E-7},-0.19345882060873143,-0.19345882060873143,-0.19345882060873143,-1.5805459200059758E-7,null,{"$f":"AX322/AX139","v":-2.0314187452709749E-2},null,{"$f":"$BG$324*AZ320","v":0},{"$f":"$BG$324*BA320","v":0},0,0,0,0,null,{"$f":"BG322/BG139","v":0},null,{"$f":"$BP$324*BI320","v":-1.7188492049888415E-7},{"$f":"$BP$324*BJ320","v":-1.7188492049888415E-7},-0.21038714269063422,-0.21038714269063422,-0.21038714269063422,-1.7188492049888415E-7,null,{"$f":"BP322/BP139","v":-2.2091749762608883E-2}]
[null,{"$f":"CONCATENATE(\"1. Calculated from daily trips in Row \",O85, \".\")","v":"1. Calculated from daily trips in Row 85."},null,null,null,null,{"$f":"SUM(H325:M325)","v":1},{"$f":"I85/$H85","v":0.15304948216340622},0.45895665515918682,0.1956271576524741,5.811277330264672E-2,3.1070195627157654E-2,0.1031837360951285,null,{"$f":"ROW()","v":325},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell W\",324, \" divides exempted Auto Work trips in Cell W\",O322, \" by total Auto Work trips in Cell W\",O139, \".\")","v":"Cell W324 divides exempted Auto Work trips in Cell W322 by total Auto Work trips in Cell W139."}]
[null,"2. Same %'s, but w/ Truck/Bus allocated (since = 0 on Bklyn Br)",null,null,null,null,{"$f":"SUM(H326:M326)","v":0.99903464294369015},{"$f":"H325+H325*$L$325","v":0.15780475951485842},{"$f":"I325+I325*$L$325","v":0.47321652821936872},{"$f":"J325+J325*$L$325","v":0.20170533171072128},{"$f":"K325+K325*$L$325","v":5.9918348537596616E-2},null,{"$f":"M325+M325*$L$325","v":0.10638967496114515},null,{"$f":"ROW()","v":326}]
[null,"3. Same, but adj'd for presumed higher # thru trips avoiding cordon",null,null,null,null,{"$f":"SUM(H327:M327)","v":0.99903464294369015},{"$f":"H326-1%","v":0.14780475951485841},{"$f":"I326-1%","v":0.46321652821936871},{"$f":"J326+4%","v":0.24170533171072128},{"$f":"K326-1%","v":4.9918348537596614E-2},null,{"$f":"M326-1%","v":9.6389674961145158E-2},null,{"$f":"ROW()","v":327},{"$f":"P320+P324","v":7.6028078408103741E-6},7.6028078408103741E-6,9.3058367971518994,9.3058367971518994,9.3058367971518994,7.6028078408103741E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P327:V327)/W$139","v":4.7499985396314273},null,{"$f":"Y320+Y324","v":7.5947946656717328E-6},7.5947946656717328E-6,9.2960286707822011,9.2960286707822011,9.2960286707822011,7.5947946656717328E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y327:AE327)/AF$139","v":5.9695826319882475},null,{"$f":"AH320+AH324","v":7.5531629183285314E-6},7.5531629183285314E-6,9.2450714120341217,9.2450714120341217,9.2450714120341217,7.5531629183285314E-6,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH327:AN327)/AO$139","v":4.6632014758058169},null,{"$f":"AQ320+AQ324","v":7.6224481905271058E-6},7.6224481905271058E-6,9.329876585205179,9.329876585205179,9.329876585205179,7.6224481905271058E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ327:AW327)/AX$139","v":5.4453847561420421},null,{"$f":"AZ320+AZ324","v":1.9507627461773066E-5},1.9507627461773066E-5,23.877336013210233,23.877336013210233,23.877336013210233,1.9507627461773066E-5,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ327:BF327)/BG$139","v":13.936013017556656},null,{"$f":"BI320+BI324","v":7.6086178620288195E-6},7.6086178620288195E-6,9.3129482631232765,9.3129482631232765,9.3129482631232765,7.6086178620288195E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI327:BO327)/BP$139","v":4.8746816249576499}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328},{"$f":"CONCATENATE(\"Each figure directly above is sum of Rows \",O320, \" and \",O324, \".\")","v":"Each figure directly above is sum of Rows 320 and 324."}]
[null,"Reductions for trips that will be exempted or will receive discount from cordon toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329},{"$f":"CONCATENATE(\"Entire process in above array (Rows \",O322, \"-\",O328, \") is carried out for the five other 'modes' to right (Auto non-work, Auto thru, etc.\")","v":"Entire process in above array (Rows 322-328) is carried out for the five other 'modes' to right (Auto non-work, Auto thru, etc."}]
[null,"Share of trips exempt due to toll-collection error/failure, special designation, privilege, etc.",null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!$K$85","v":0.04},null,null,{"$f":"CONCATENATE(\"From 'Policy Levers,' Cell K\",'Policy Levers'!O85, \". Applies to all.\")","v":"From 'Policy Levers,' Cell K85. Applies to all."},{"$f":"ROW()","v":330},{"$f":"-$K$330*P320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,null,{"$f":"SUMPRODUCT(P$139:V$139,P330:V330)/W$139","v":-0.19444067312197438},null,{"$f":"-$K$330*Y320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y330:AE330)/AF$139","v":-0.24462204087570602},null,{"$f":"-$K$330*AH320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH330:AN330)/AO$139","v":-0.19214229826793386},null,{"$f":"-$K$330*AQ320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ330:AW330)/AX$139","v":-0.22233188176864363},null,{"$f":"-$K$330*AZ320","v":-7.8030509847092261E-7},-7.8030509847092261E-7,-0.95509344052840928,-0.95509344052840928,-0.95509344052840928,-7.8030509847092261E-7,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ330:BF330)/BG$139","v":-0.55744052070226613},null,{"$f":"-$K$330*BI320","v":-3.1122011130110818E-7},-3.1122011130110818E-7,-0.38093341623255639,-0.38093341623255639,-0.38093341623255639,-3.1122011130110818E-7,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI330:BO330)/BP$139","v":-0.1993921873048643}]
[null,"Share of trips discounted due to policy providing toll break on day's second (or third etc.) trip into CBD ",null,null,null,null,null,null,null,null,null,null,null,"Applied in selected column blocks further to right.",{"$f":"ROW()","v":331},{"$f":"-0.5*$W$296*$W$298*P320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,null,{"$f":"SUMPRODUCT(P$139:V$139,P331:V331)/W$139","v":-2.4305084140246798E-2},null,{"$f":"-0.5*$AF$296*$AF$298*Y320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y331:AE331)/AF$139","v":-3.0577755109463253E-2},null,{"$f":"-0.5*$AO$296*$AO$298*AH320","v":-3.8902513912638522E-8},-3.8902513912638522E-8,-4.7616677029069548E-2,-4.7616677029069548E-2,-4.7616677029069548E-2,-3.8902513912638522E-8,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH331:AN331)/AO$139","v":-2.4017787283491732E-2},null,{"$f":"-0.5*$AX$296*$AX$298*AQ320","v":-3.5012262521374666E-6},-3.5012262521374666E-6,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-3.5012262521374666E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ331:AW331)/AX$139","v":-2.5012336698972408},null,{"$f":"-0.5*$BG$296*$BG$298*AZ320","v":-7.3153602981648994E-7},-7.3153602981648994E-7,-0.89540010049538366,-0.89540010049538366,-0.89540010049538366,-7.3153602981648994E-7,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ331:BF331)/BG$139","v":-0.52260048815837445},null,{"$f":"-0.5*$AX$296*$AX$298*BI320","v":-3.5012262521374666E-6},-3.5012262521374666E-6,-4.2855009326162596,-4.2855009326162596,-4.2855009326162596,-3.5012262521374666E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI331:BO331)/BP$139","v":-2.2431621071797236}]
[null,{"$f":"CONCATENATE(\"Share trips discounted via carve-outs for medical, disabled, upstream tolls or other considerations not built into 'non-rev veh's' % in 'Policy Levers' Cell K \",'Policy Levers'!O85, \".\")","v":"Share trips discounted via carve-outs for medical, disabled, upstream tolls or other considerations not built into 'non-rev veh's' % in 'Policy Levers' Cell K 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!K88","v":0},null,null,{"$f":"CONCATENATE(\"From 'Policy Levers,' Cell K\",'Policy Levers'!O88, \". Applies to autos.\")","v":"From 'Policy Levers,' Cell K88. Applies to autos."},{"$f":"ROW()","v":333},{"$f":"-$K$333*P320","v":0},0,0,0,0,0,null,{"$f":"SUMPRODUCT(P$139:V$139,P333:V333)/W$139","v":0},null,{"$f":"-$K$333*Y320","v":0},0,0,0,0,0,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y333:AE333)/AF$139","v":0},null,{"$f":"-$K$333*AH320","v":0},0,0,0,0,0,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH333:AN333)/AO$139","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD, prior to possible exemption of some trips per month",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$327,\", \",O330, \",  \",O331,\" and \",O333,\".\")","v":"Sum of Rows 327, 330,  331 and 333."},{"$f":"ROW()","v":335},{"$f":"P327+P330+P331+P333","v":7.2526852155966274E-6},{"$f":"Q327+Q330+Q331+Q333","v":7.2526852155966274E-6},8.8772867038902739,8.8772867038902739,8.8772867038902739,7.2526852155966274E-6,0,{"$f":"SUMPRODUCT(P$139:V$139,P335:V335)/W$139","v":4.531252782369207},null,{"$f":"Y327+Y330+Y331+Y333","v":7.2446720404579861E-6},{"$f":"Z327+Z330+Z331+Z333","v":7.2446720404579861E-6},8.8674785775205756,8.8674785775205756,8.8674785775205756,7.2446720404579861E-6,0,{"$f":"SUMPRODUCT(Y$139:AE$139,Y335:AE335)/AF$139","v":5.6943828360030775},null,{"$f":"AH327+AH330+AH331+AH333","v":7.2030402931147847E-6},{"$f":"AI327+AI330+AI331+AI333","v":7.2030402931147847E-6},8.8165213187724962,8.8165213187724962,8.8165213187724962,7.2030402931147847E-6,0,{"$f":"SUMPRODUCT(AH$139:AN$139,AH335:AN335)/AO$139","v":4.447041390254391},null,{"$f":"AQ327+AQ330+AQ331","v":3.8100018270885314E-6},{"$f":"AR327+AR330+AR331","v":3.8100018270885314E-6},4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,0,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ335:AW335)/AX$139","v":2.7218192044761578},null,{"$f":"AZ327+AZ330+AZ331","v":1.7995786333485653E-5},{"$f":"BA327+BA330+BA331","v":1.7995786333485653E-5},22.026842472186441,22.026842472186441,22.026842472186441,1.7995786333485653E-5,0,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ335:BF335)/BG$139","v":12.855972008696016},null,{"$f":"BI327+BI330+BI331","v":3.7961714985902451E-6},{"$f":"BJ327+BJ330+BJ331","v":3.7961714985902451E-6},4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6,0,{"$f":"SUMPRODUCT(BI$139:BO$139,BI335:BO335)/BP$139","v":2.4321273304730626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"Average Change to New Toll if Implement \"One Untolled Drive a Month into CBD\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337},{"$f":"-P335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-Q335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-R335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-S335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-T335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-U335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(P$139:V$139,P337:V337)/W$139","v":0},null,{"$f":"-Y335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-Z335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AA335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AB335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AC335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AD335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y337:AE337)/AF$139","v":0},null,{"$f":"-AH335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AI335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AJ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AK335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AL335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AM335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH337:AN337)/AO$139","v":0},null,{"$f":"-AQ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AR335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AS335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AT335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AU335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-AV335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ337:AW337)/AX$139","v":0},null,{"$f":"-AZ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BA335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BB335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BC335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BD335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BE335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ337:BF337)/BG$139","v":0},null,{"$f":"-BI335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BJ335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BK335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BL335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BM335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},{"$f":"-BN335*Incidence!$X$521*IF('Policy Levers'!$K$81=\"YES\",1,0)","v":0},null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI337:BO337)/BP$139","v":0}]
[null,{"$f":"CONCATENATE(\"Product of (I) percent of CBD trips that qualify for exemption, shown in 'Incidence' Cell X\",Incidence!AA521, \"; (ii) Row \",O335, \"); and (iii) 'IF' statement reflecting applicability of exemption.\")","v":"Product of (I) percent of CBD trips that qualify for exemption, shown in 'Incidence' Cell X521; (ii) Row 335); and (iii) 'IF' statement reflecting applicability of exemption."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum Rows \",O$335,\" & \",O337, \".\")","v":"Sum Rows 335 & 337."},{"$f":"ROW()","v":338}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339},{"$f":"P335+P337","v":7.2526852155966274E-6},7.2526852155966274E-6,8.8772867038902739,8.8772867038902739,8.8772867038902739,7.2526852155966274E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P339:V339)/W$139","v":4.531252782369207},null,{"$f":"Y335+Y337","v":7.2446720404579861E-6},7.2446720404579861E-6,8.8674785775205756,8.8674785775205756,8.8674785775205756,7.2446720404579861E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y339:AE339)/AF$139","v":5.6943828360030775},null,{"$f":"AH335+AH337","v":7.2030402931147847E-6},7.2030402931147847E-6,8.8165213187724962,8.8165213187724962,8.8165213187724962,7.2030402931147847E-6,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH339:AN339)/AO$139","v":4.447041390254391},null,{"$f":"AQ335+AQ337","v":3.8100018270885314E-6},3.8100018270885314E-6,4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ339:AW339)/AX$139","v":2.7218192044761578},null,{"$f":"AZ335+AZ337","v":1.7995786333485653E-5},1.7995786333485653E-5,22.026842472186441,22.026842472186441,22.026842472186441,1.7995786333485653E-5,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ339:BF339)/BG$139","v":12.855972008696016},null,{"$f":"BI335+BI337","v":3.7961714985902451E-6},3.7961714985902451E-6,4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI339:BO339)/BP$139","v":2.4321273304730626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,"Toll discount if plan selected exempts downstream/upstream MTA bridge tolls",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Additive inverse of figures from applicable columns in 'MTA Crossings' tab, Row \",'MTA Crossings'!AL391, \".\")","v":"Additive inverse of figures from applicable columns in 'MTA Crossings' tab, Row 391."},{"$f":"ROW()","v":341},{"$f":"$W341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!M391","v":0},null,{"$f":"$AF341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!N391","v":0},null,{"$f":"$AO341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!O391","v":0},null,{"$f":"$AX341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!P391","v":0},null,{"$f":"$BG341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!Q391","v":0},null,{"$f":"$AX341","v":0},0,0,0,0,0,null,{"$f":"-'MTA Crossings'!AH391","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,"Increment over prior tolls, avg'd over all vehicles entering CBD (includes downstream/upstream discount, if applicable)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O339, \" and \",O341,\".\")","v":"Sum of Rows 339 and 341."},{"$f":"ROW()","v":343},{"$f":"P339+P341","v":7.2526852155966274E-6},7.2526852155966274E-6,8.8772867038902739,8.8772867038902739,8.8772867038902739,7.2526852155966274E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P343:V343)/W$139","v":4.531252782369207},null,{"$f":"Y339+Y341","v":7.2446720404579861E-6},7.2446720404579861E-6,8.8674785775205756,8.8674785775205756,8.8674785775205756,7.2446720404579861E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y343:AE343)/AF$139","v":5.6943828360030775},null,{"$f":"AH339+AH341","v":7.2030402931147847E-6},7.2030402931147847E-6,8.8165213187724962,8.8165213187724962,8.8165213187724962,7.2030402931147847E-6,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH343:AN343)/AO$139","v":4.447041390254391},null,{"$f":"AQ339+AQ341","v":3.8100018270885314E-6},3.8100018270885314E-6,4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ343:AW343)/AX$139","v":2.7218192044761578},null,{"$f":"AZ339+AZ341","v":1.7995786333485653E-5},1.7995786333485653E-5,22.026842472186441,22.026842472186441,22.026842472186441,1.7995786333485653E-5,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ343:BF343)/BG$139","v":12.855972008696016},null,{"$f":"BI339+BI341","v":3.7961714985902451E-6},3.7961714985902451E-6,4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI343:BO343)/BP$139","v":2.4321273304730626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Final \"Effective\" Toll (avg'd over all vehicles entering CBD)",null,null,null,null,"Weighted avg toll. Will change as trip times resettle. Includes trucks and buses as well as double toll (where applicable) for through-trips.",null,null,null,null,{"$f":"(W345*W139+AF345*AF139+AO345*AO139+BG345*BG139+BP345*BP139)/(W139+AF139+AO139+BG139+BP139)","v":8.1846674725439055},null,{"$f":"CONCATENATE(\"Sum of Rows \",O$273,\" and \",O339, \".\")","v":"Sum of Rows 273 and 339."},{"$f":"ROW()","v":345},{"$f":"P273+P339","v":2.7802339665827027},2.7802339665827027,11.908024411554553,11.657513417787762,11.657513417787762,2.905489463466099,null,{"$f":"SUMPRODUCT(P$139:V$139,P345:V345)/W$139","v":7.3927650456632739},null,{"$f":"Y273+Y339","v":2.7802339585695277},2.7802339585695277,11.898216285184855,11.647705291418063,11.647705291418063,2.905489455452924,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y345:AE345)/AF$139","v":8.5625055830837606},null,{"$f":"AH273+AH339","v":4.726392616666022},4.726392616666022,13.968775421801773,13.542906732398226,13.542906732398226,4.9393269613677955,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH345:AN345)/AO$139","v":9.3004146612315868},null,{"$f":"AQ273+AQ339","v":3.8100018270885314E-6},3.8100018270885314E-6,4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ345:AW345)/AX$139","v":2.7218192044761578},null,{"$f":"AZ273+AZ339","v":5.5604714235813075},5.5604714235813075,28.088317887515004,27.587295899981417,27.587295899981417,5.8109824173481002,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ345:BF345)/BG$139","v":18.583284769467031},null,{"$f":"BI273+BI339","v":3.7961714985902451E-6},3.7961714985902451E-6,4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI345:BO345)/BP$139","v":2.4321273304730626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,"Near-Final Trip Cost - including new toll",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O$270,\" and \",O339, \".\")","v":"Sum of Rows 270 and 339."},{"$f":"ROW()","v":347},{"$f":"P270+P339","v":9.9990187731548978},14.124082311625441,28.820690240920491,31.599565305783646,30.43197256374761,15.817433277190979,null,{"$f":"SUMPRODUCT(P$139:V$139,P347:V347)/W$139","v":20.938645796150436},null,{"$f":"Y270+Y339","v":9.9990187651417237},14.124082303612267,28.810882114550793,31.589757179413947,30.422164437377912,15.817433269177805,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y347:AE347)/AF$139","v":23.756041613646158},null,{"$f":"AH270+AH339","v":14.22283884842987},17.626055844704641,28.859977483707979,29.303462936060484,27.947575682806672,17.696893154054234,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH347:AN347)/AO$139","v":22.218242934919182},null,{"$f":"AQ270+AQ339","v":3.8100018270885314E-6},3.8100018270885314E-6,4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,null,{"$f":"SUMPRODUCT(AQ$139:AW$139,AQ347:AW347)/AX$139","v":2.7218192044761578},null,{"$f":"AZ270+AZ339","v":22.039462789672562},27.757190002087615,53.784278186017161,54.473563774612757,52.010754623813412,28.086148831243417,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ347:BF347)/BG$139","v":41.53692099689809},null,{"$f":"BI270+BI339","v":3.7961714985902451E-6},3.7961714985902451E-6,4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6,null,{"$f":"SUMPRODUCT(BI$139:BO$139,BI347:BO347)/BP$139","v":2.4321273304730626}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Adjustment to Parking Costs (reflecting price change from change in vehicle entries)",null,null,null,null,null,null,"Extent to which volume of auto trips into CBD would have to fall for garage/lot owners to compensate by reducing their parking charges by entire toll increment: ",null,null,null,{"$f":"'Motor Vs'!M349","v":0.5},null,{"$f":"ROW()","v":349},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Cost of purchased off-street parking (paid lot or garage)",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O261, \".\")","v":"Reproduced from Row 261."},null,null,null,null,null,"Komanoff est.",null,{"$f":"ROW()","v":351},{"$f":"P261","v":7.5},15,26.25,26.25,26.25,20.25,null,{"$f":"SUMPRODUCT(P$139:V$139,P351:V351)/W$139","v":18.763647831140325},null,{"$f":"Y261","v":7.5},15,26.25,26.25,26.25,20.25,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y351:AE351)/AF$139","v":21.328548677207003},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ261","v":11.25},22.5,39.375,39.375,39.375,30.375,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ351:BF351)/BG$139","v":30.321641747846442}]
[null,"Average cordon toll ",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O335, \".\")","v":"Reproduced from Row 335."},null,null,null,null,null,null,null,{"$f":"ROW()","v":352},{"$f":"P335","v":7.2526852155966274E-6},7.2526852155966274E-6,8.8772867038902739,8.8772867038902739,8.8772867038902739,7.2526852155966274E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P352:V352)/W$139","v":4.531252782369207},null,{"$f":"Y335","v":7.2446720404579861E-6},7.2446720404579861E-6,8.8674785775205756,8.8674785775205756,8.8674785775205756,7.2446720404579861E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y352:AE352)/AF$139","v":5.6943828360030775},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ335","v":1.7995786333485653E-5},1.7995786333485653E-5,22.026842472186441,22.026842472186441,22.026842472186441,1.7995786333485653E-5,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ352:BF352)/BG$139","v":12.855972008696016}]
[null,"Baseline auto trips ending in cordon",null,null,null,null,{"$f":"CONCATENATE(\"Sum of Cells I\",O85, \" and J\",O85,\", which pertain to auto work and non-work trips, resp'ly.\")","v":"Sum of Cells I85 and J85, which pertain to auto work and non-work trips, resp'ly."},null,null,null,null,null,null,{"$f":"I85+J85","v":319100},{"$f":"ROW()","v":353}]
[null,"Final model estimates of auto trips ending in cordon",null,null,null,null,{"$f":"CONCATENATE(\"Sum of Cells W\",O933, \" and AF\",O933,\", which also pertain to auto work + non-work trips).\")","v":"Sum of Cells W933 and AF933, which also pertain to auto work + non-work trips)."},null,null,null,null,null,null,{"$f":"W933+AF933","v":283430.08315437206},{"$f":"ROW()","v":354}]
[null,"Trips eliminated",null,null,null,null,null,null,null,null,null,"Percent:",{"$f":"N355/'Motor Vs'!N353","v":9.2793748297678752E-2},{"$f":"N353-N354","v":35669.916845627944},{"$f":"ROW()","v":355}]
[null,"Change in avg charge to park off-street (in garage or lot)",null,null,null,null,{"$f":"CONCATENATE(\"Product of %'s in Rows \",O349, \" and \",O355, \", but capped at 1/2 cordon toll.\")","v":"Product of %'s in Rows 349 and 355, but capped at 1/2 cordon toll."},null,null,null,null,"Percent above is calc'd on weekday baseline trips, since garage capacity is pegged to it.",null,{"$f":"M355/M349","v":0.1855874965953575},{"$f":"ROW()","v":356},{"$f":"MAX(-$N$356*P352,-0.5*P352)","v":-1.3460076927567389E-6},-1.3460076927567389E-6,-1.6475134159342486,-1.6475134159342486,-1.6475134159342486,-1.3460076927567389E-6,null,{"$f":"SUMPRODUCT(P$139:V$139,P356:V356)/W$139","v":-0.84094386032064938},null,{"$f":"MAX(-$N$356*Y352,-0.5*Y352)","v":-1.3445205476429782E-6},-1.3445205476429782E-6,-1.6456931503150054,-1.6456931503150054,-1.6456931503150054,-1.3445205476429782E-6,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y356:AE356)/AF$139","v":-1.0568062551893835},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MAX(-$N$356*AZ352,-0.5*AZ352)","v":-3.3397929348965498E-6},-3.3397929348965498E-6,-4.0879065523133775,-4.0879065523133775,-4.0879065523133775,-3.3397929348965498E-6,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ356:BF356)/BG$139","v":-2.3859076613938832}]
[null,"% of entering drivers who purchase off-street parking (paid lot or garage)",null,null,null,null,null,null,null,null,null,null,null,"Note: Above % is effectively capped at 50%, in columns to right.",{"$f":"ROW()","v":357},{"$f":"P256","v":0.05},0.15,0.25,0.35,0.35,0.2,null,null,null,{"$f":"Y256","v":0.05},0.15,0.25,0.35,0.35,0.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ256","v":0.01},0.02,0.03,0.03,0.03,0.03]
[null,"Avg charge for off-street parking (paid lot / garage), baseline",null,null,null,null,{"$f":"CONCATENATE(\"Reproduced from Row \",O261, \".\")","v":"Reproduced from Row 261."},null,null,null,null,null,null,null,{"$f":"ROW()","v":358},{"$f":"P261","v":7.5},15,26.25,26.25,26.25,20.25,null,{"$f":"SUMPRODUCT(P$139:V$139,P358:V358)/W$139","v":18.763647831140325},null,{"$f":"Y261","v":7.5},15,26.25,26.25,26.25,20.25,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y358:AE358)/AF$139","v":21.328548677207003},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ261","v":11.25},22.5,39.375,39.375,39.375,30.375,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ358:BF358)/BG$139","v":30.321641747846442}]
[null,"Avg charge for off-street parking (pd lot / garage), w/ cordon toll",null,null,null,null,{"$f":"CONCATENATE(\"Sum of baseline in Row \",O358, \" and change in Row \",O356, \".\")","v":"Sum of baseline in Row 358 and change in Row 356."},null,null,null,null,null,null,null,{"$f":"ROW()","v":359},{"$f":"MAX(0,P358+P356)","v":7.4999986539923071},14.999998653992307,24.602486584065751,24.602486584065751,24.602486584065751,20.249998653992307,null,{"$f":"SUMPRODUCT(P$139:V$139,P359:V359)/W$139","v":17.922703970819676},null,{"$f":"MAX(0,Y358+Y356)","v":7.4999986554794527},14.999998655479452,24.604306849684995,24.604306849684995,24.604306849684995,20.249998655479452,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y359:AE359)/AF$139","v":20.271742422017617},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MAX(0,AZ358+AZ356)","v":11.249996660207065},22.499996660207064,35.287093447686622,35.287093447686622,35.287093447686622,30.374996660207064,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ359:BF359)/BG$139","v":27.935734086452563}]
[null,"Chng in wghtd avg cost to park from change in off-street parking rates",null,null,null,null,null,{"$f":"CONCATENATE(\"Product of % in Row \",O357, \" and $ change in Row \",O356, \".\")","v":"Product of % in Row 357 and $ change in Row 356."},null,null,null,null,null,null,{"$f":"ROW()","v":360},{"$f":"P357*P356","v":-6.7300384637836949E-8},-2.0190115391351082E-7,-0.41187835398356215,-0.57662969557698696,-0.57662969557698696,-2.692015385513478E-7,null,{"$f":"SUMPRODUCT(P$139:V$139,P360:V360)/W$139","v":-0.2464477151952503},null,{"$f":"Y357*Y356","v":-6.7226027382148908E-8},-2.0167808214644672E-7,-0.41142328757875135,-0.57599260261025187,-0.57599260261025187,-2.6890410952859563E-7,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y360:AE360)/AF$139","v":-0.31988355272576341},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Change in # medallion cabs",null,{"$f":"'Motor Vs'!AX360","v":0},null,{"$f":"AZ357*AZ356","v":-3.3397929348965497E-8},-6.6795858697930994E-8,-0.12263719656940132,-0.12263719656940132,-0.12263719656940132,-1.001937880468965E-7,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ360:BF360)/BG$139","v":-7.1577210765677871E-2},null,null,null,null,null,null,"Change in # UberLyft vehicles",null,{"$f":"Taxis!AD696","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Decided through an exogenous process, and inputted from parallel cell in Motor V's worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Decided through an exogenous process, and set in Taxis worksheet tab, in Row \",Taxis!AG696, \".\")","v":"Decided through an exogenous process, and set in Taxis worksheet tab, in Row ."}]
[null,"Final Trip Cost - including any change in cost to park",null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O347,\" and \",O360,\".\")","v":"Sum of Rows 347 and 360."},null,null,null,null,null,null,{"$f":"ROW()","v":362},{"$f":"P347+P360","v":9.9990187058545139},14.124082109724288,28.408811886936931,31.022935610206659,29.855342868170624,15.81743300798944,null,{"$f":"SUMPRODUCT(P$139:V$139,P362:V362)/W$139","v":20.692198080955183},null,{"$f":"Y347+Y360","v":9.9990186979156963},14.124082101934185,28.39945882697204,31.013764576803695,29.846171834767659,15.817433000273695,null,{"$f":"SUMPRODUCT(Y$139:AE$139,Y362:AE362)/AF$139","v":23.436158060920391},null,{"$f":"AH347+AH360","v":14.22283884842987},17.626055844704641,28.859977483707979,29.303462936060484,27.947575682806672,17.696893154054234,null,{"$f":"SUMPRODUCT(AH$139:AN$139,AH362:AN362)/AO$139","v":22.218242934919182},null,null,null,null,null,null,null,null,null,null,{"$f":"AZ347+AZ360","v":22.039462756274634},27.757189935291755,53.661640989447761,54.350926578043357,51.888117427244012,28.086148731049629,null,{"$f":"SUMPRODUCT(AZ$139:BF$139,AZ362:BF362)/BG$139","v":41.465343786132408}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,"Factor Change in Total Motor V. Trip Cost w/ Toll (ratio of new cost to old)",null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of new trip cost in Row \",O362, \" to old trip cost in Row \",O270,\".\")","v":"Ratio of new trip cost in Row 362 to old trip cost in Row 270."},null,null,null,null,null,null,{"$f":"ROW()","v":364},{"$f":"P362/P270","v":1.0000007186095161},1.0000004992032421,1.424471597046534,1.3653091819594898,1.3850975635776779,1.0000004415056953,null,null,null,{"$f":"Y362/Y270","v":1.0000007178155559},1.0000004986516944,1.4240026169174642,1.3649055677989717,1.384672086098554,1.0000004410178951,null,null,null,{"$f":"AH362/AH270","v":1.0000005064420696},1.000000408658823,1.4398703120969891,1.4303483401022941,1.460848688786714,1.0000004070230386,null,null,null,null,null,null,null,null,"% change from baseline",null,{"$f":"AX360/Taxis!$L180","v":0},null,{"$f":"AZ362/AZ270","v":1.0000008150109303},1.0000006459228077,1.6897346962455635,1.6750822393256442,1.7305319320857364,1.000000637168311,null,null,null,null,null,null,null,null,"% change from baseline",null,{"$f":"BP360/Taxis!$L180","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cell AX\",$O360, \" to baseline number of medallion taxis, in 'Taxis' tab, Row \",Taxis!O180,\".\")","v":"Ratio of Cell AX360 to baseline number of medallion taxis, in 'Taxis' tab, Row 180."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cell AX\",$O360, \" to baseline number of medallion taxis, in 'Taxis' tab, Row \",Taxis!AG180,\".\")","v":"Ratio of Cell AX360 to baseline number of medallion taxis, in 'Taxis' tab, Row ."}]
[null,"2. Direct Impact of Our Tolls on Cordon Entries",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,"Preliminary Traffic-Retention Factor from Our Tolls (assumes 100% of cordon entries are tolled)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367},{"$f":"P364^Elasticities!$G$66","v":0.99999971255633802},{"$f":"Q364^Elasticities!$G$66","v":0.999999800318773},{"$f":"R364^Elasticities!$G$66","v":0.86803748970899353},{"$f":"S364^Elasticities!$G$66","v":0.88289202842666492},{"$f":"T364^Elasticities!$G$66","v":0.87782481545666735},{"$f":"U364^Elasticities!$G$66","v":0.99999982339777638},null,null,null,{"$f":"Y364^Elasticities!$H$66","v":0.99999956931091372},{"$f":"Z364^Elasticities!$H$66","v":0.99999970080910261},{"$f":"AA364^Elasticities!$H$66","v":0.80889756402688717},{"$f":"AB364^Elasticities!$H$66","v":0.82973314072627535},{"$f":"AC364^Elasticities!$H$66","v":0.82260593325867848},{"$f":"AD364^Elasticities!$H$66","v":0.99999973538935627},null,null,null,{"$f":"AH364^Elasticities!$J$66","v":0.99999972145697102},{"$f":"AI364^Elasticities!$J$66","v":0.99999977523771844},{"$f":"AJ364^Elasticities!$J$66","v":0.81831807217517583},{"$f":"AK364^Elasticities!$J$66","v":0.82130979261493631},{"$f":"AL364^Elasticities!$J$66","v":0.81183378480649848},{"$f":"AM364^Elasticities!$J$66","v":0.99999977613739943},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.99999989133192613},{"$f":"BA364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.9999999138769905},{"$f":"BB364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93244708819861677},{"$f":"BC364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.93353050825260409},{"$f":"BD364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.9294857108706216},{"$f":"BE364^(Elasticities!$J$87*Elasticities!$G$66)","v":0.99999991504425589}]
[null,{"$f":"CONCATENATE(\"Calculated by raising factor change from tolls in Row \",O364, \" to an exponent equaling the price-elasticity for that trip type shown in Elasticities worksheet tab.\")","v":"Calculated by raising factor change from tolls in Row 364 to an exponent equaling the price-elasticity for that trip type shown in Elasticities worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"The 'IF' statement used to calculated value of Cell AX\",$O402, \" allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L\",Taxis!O696, \". This causes Cell AX\",$O402, \" to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L\",$O44, \" and percent in Cell AX\",$O364, \" above.\")","v":"The 'IF' statement used to calculated value of Cell AX402 allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L696. This causes Cell AX402 to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L44 and percent in Cell AX364 above."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IF statement may need revision to ensure it reflects changes in both # taxicabs and taxi occupancy.",null,{"$f":"CONCATENATE(\"The 'IF' statement used to calculated value of Cell BP\",$O377, \" allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L\",Taxis!AG696, \". This causes Cell BP\",$O377, \" to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L\",$O44, \" and percent in Cell BP\",$O364, \" above.\")","v":"The 'IF' statement used to calculated value of Cell BP377 allows its ordinary value to be overridden, in order to model exogenous change in number of medallion taxicabs. The override is triggered by the presence of a non-zero value in the 'Taxis' worksheet tab, in Cell L. This causes Cell BP377 to be calculated as the prorated change in weekday cordon-crossing taxi trips, calculated as product of baseline cordon-crossing taxi trips in Cell L44 and percent in Cell BP364 above."}]
[null,"Preliminary Traffic-Elimination Factor from Our Tolls (assumes 100% of cordon entries are tolled)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369},{"$f":"1-P367","v":2.8744366198374394E-7},1.9968122699776103E-7,0.13196251029100647,0.11710797157333508,0.12217518454333265,1.7660222362270162E-7,null,null,null,{"$f":"1-Y367","v":4.3068908628374203E-7},2.9919089739038895E-7,0.19110243597311283,0.17026685927372465,0.17739406674132152,2.6461064372984566E-7,null,null,null,{"$f":"1-AH367","v":2.7854302897534211E-7},2.2476228156431688E-7,0.18168192782482417,0.17869020738506369,0.18816621519350152,2.2386260056794782E-7,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ367","v":1.0866807387266419E-7},8.6123009501726244E-8,6.7552911801383231E-2,6.6469491747395915E-2,7.0514289129378405E-2,8.4955744106274267E-8]
[null,{"$f":"CONCATENATE(\"Complement of preliminary traffic-retention factor in Row \",O367, \".\")","v":"Complement of preliminary traffic-retention factor in Row 367."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IF statement may need revision to ensure it reflects chng in both # taxicabs and taxi occpncy."]
[null,"Share of Incoming (cordon-crossing) trips that are assumed to be exempt from cordon toll",null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!J371","v":0.04},null,null,null,{"$f":"ROW()","v":371}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption. Is set equal to value given in corresponding cell (Row \",'Motor Vs'!O371, \") in 'Motor Vs' worksheet, and is described in Row \",'Motor Vs'!O372, \" of that worksheet.\")","v":"Komanoff assumption. Is set equal to value given in corresponding cell (Row 371) in 'Motor Vs' worksheet, and is described in Row 372 of that worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"Traffic-Retention Factor from Our Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373},{"$f":"(1-$K$371)*P367+$K$371","v":0.99999972405408455},0.99999980830602209,0.87331599012063377,0.88757634728959833,0.88271182283840066,0.99999983046186536,null,null,null,{"$f":"(1-$K$371)*Y367+$K$371","v":0.9999995865384772},0.99999971277673849,0.81654166146581164,0.83654381509722431,0.82970169592833132,0.99999974597378205,null,null,null,{"$f":"(1-$K$371)*AH367+$K$371","v":0.99999973259869224},0.99999978422820968,0.82558534928816885,0.82845740091033881,0.81936043341423859,0.99999978509190346,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(1-$K$371)*AZ367+$K$371","v":0.99999989567864911},0.99999991732191085,0.93514920467067209,0.93618928792249989,0.93230628243579672,0.9999999184424857]
[null,{"$f":"CONCATENATE(\"Calculated as sum of (i) product of Row \",O367, \" and complement of parameter in Row \",O371, \"; and (ii) parameter in Row \",O371, \". Mathematically, reflects 'free pass' given to vehicle share shown in Row \",O371, \".\")","v":"Calculated as sum of (i) product of Row 367 and complement of parameter in Row 371; and (ii) parameter in Row 371. Mathematically, reflects 'free pass' given to vehicle share shown in Row 371."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"Traffic-Elimination Factor from Our Tolls ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375},{"$f":"1-P373","v":2.7594591545110347E-7},1.916939779134097E-7,0.12668400987936623,0.11242365271040167,0.11728817716159934,1.6953813464226641E-7,null,null,null,{"$f":"1-Y373","v":4.1346152279686521E-7},2.8722326150809607E-7,0.18345833853418836,0.16345618490277569,0.17029830407166868,2.5402621794956559E-7,null,null,null,{"$f":"1-AH373","v":2.6740130776303772E-7},2.1577179032394866E-7,0.17441465071183115,0.17154259908966119,0.18063956658576141,2.1490809654078902E-7,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-AZ373","v":1.0432135089111227E-7},8.2678089152743439E-8,6.4850795329327915E-2,6.3810712077500109E-2,6.7693717564203282E-2,8.1557514297614375E-8]
[null,{"$f":"CONCATENATE(\"Complement of preliminary traffic-retention factor in Row \",O373, \".\")","v":"Complement of preliminary traffic-retention factor in Row 373."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Change in weekend taxi trips that cross into CBD",null,null,null,null,null,null,{"$f":"IF(OR(Taxis!L696>0,Taxis!L696<0),L44*AX364,Taxis!N411)","v":1273.2150484127426},null,null,null,null,null,null,null,null,null,null,"Change in weekend taxi trips that cross into CBD",null,null,null,null,null,null,{"$f":"IF(OR(Taxis!$L696>0,Taxis!$L696<0),AF44*BP364,Taxis!$N411)","v":1273.2150484127426}]
[null,"D. Add (or subtract) any \"exogenous\" traffic arising from non-pricing actions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"This section processes any change in volume made in the 'Policy Levers' tab. The change is entered there as either (i) % change in entire volume of CBD entries shown in Cell H\",O39, \"; (ii) quantity change (in, say, thousands or hundreds) to entries shown in Cell H\",O39, \"; or (iii) quantity changes to auto trips only (which are distributed proportionally among work, non-work and through trips). Choice of method is made in 'Policy Levers' tab, Row \",'Policy Levers'!O258, \".\")","v":"This section processes any change in volume made in the 'Policy Levers' tab. The change is entered there as either (i) % change in entire volume of CBD entries shown in Cell H39; (ii) quantity change (in, say, thousands or hundreds) to entries shown in Cell H39; or (iii) quantity changes to auto trips only (which are distributed proportionally among work, non-work and through trips). Choice of method is made in 'Policy Levers' tab, Row 258."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,"Change in weekday baseline volume: ",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",'Policy Levers'!K259,IF('Policy Levers'!K258=\"B\",'Policy Levers'!K260,'Policy Levers'!K261))","v":0},null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,{"$f":"CONCATENATE(\"This figure is generated by an IF statement on Rows \",'Policy Levers'!O258, \"-\",'Policy Levers'!O261, \" of 'Policy Levers' worksheet. Depending on values in those rows, it is expressed either as a percent or as a quantity.\")","v":"This figure is generated by an IF statement on Rows 258-261 of 'Policy Levers' worksheet. Depending on values in those rows, it is expressed either as a percent or as a quantity."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,"Does above change in baseline volume apply to all motor v's, or only to autos?",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",\"ALL\",IF('Policy Levers'!K258=\"B\",\"ALL\",\"AUTOS ONLY\"))","v":"ALL"},null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,{"$f":"CONCATENATE(\"This is also generated by an IF statement on 'Policy Levers', though only on Row \",'Policy Levers'!O258,\". Purpose is to allow testing of scenarios in which only private auto volumes are changed.\")","v":"This is also generated by an IF statement on 'Policy Levers', though only on Row 258. Purpose is to allow testing of scenarios in which only private auto volumes are changed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,"Change in baseline volume inputted into calculations here:",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!K258=\"A\",'Policy Levers'!K259*H85,IF('Policy Levers'!K258=\"B\",'Policy Levers'!K260,'Policy Levers'!K261))*IF('Policy Levers'!K258=\"A\",1,Weekends!$L$21)","v":0},null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,{"$f":"CONCATENATE(\"Same note as Row \",'Motor Vs'!O389, \" in 'Motor Vs', except that if Cell I\",O384, \" is a quantity, it is factored by weekend/weekend volume ratio given in Row \",Weekends!X21, \" of 'Weekends' tab.\")","v":"Same note as Row 389 in 'Motor Vs', except that if Cell I384 is a quantity, it is factored by weekend/weekend volume ratio given in Row 21 of 'Weekends' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,null,"Sum",{"$f":"I80","v":"Auto Work"},"Auto Non-Wk","Auto Thru","Taxicab","Truck/Bus","Uber/Lyft",{"$f":"ROW()","v":390}]
[null,"Allocation of change in inbound baseline volume among trip types",null,null,null,null,null,{"$f":"W391+AF391+AO391+AX391+BG391+BP391","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*I85/SUM($I85:$K85),$I388*I85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*J85/SUM($I85:$K85),$I388*J85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*K85/SUM($I85:$K85),$I388*K85/SUM($I85:$N85))","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*L85/SUM($I85:$K85),$I388*L85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*M85/SUM($I85:$K85),$I388*M85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"IF('Policy Levers'!$K258=\"C\",$I388*N85/SUM($I85:$K85),$I388*N85/SUM($I85:$N85))*IF($I386=\"AUTOS ONLY\",0,1)","v":0},{"$f":"ROW()","v":391},{"$f":"$I$391*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))","v":0},{"$f":"$I$391*'Weekday Hours'!T40","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T41:T43)","v":0},{"$f":"$I$391*'Weekday Hours'!T44","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T45:T48)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T49:T54)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!T55:T57)","v":0},{"$f":"SUM(P391:V391)","v":0},null,{"$f":"$J$391*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))","v":0},{"$f":"$J$391*'Weekday Hours'!U40","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U41:U43)","v":0},{"$f":"$J$391*'Weekday Hours'!U44","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U45:U48)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U49:U54)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!U55:U57)","v":0},{"$f":"SUM(Y391:AE391)","v":0},null,{"$f":"$K$391*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":0},{"$f":"$K$391*'Weekday Hours'!V40","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V41:V43)","v":0},{"$f":"$K$391*'Weekday Hours'!V44","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V45:V48)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V49:V54)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!V55:V57)","v":0},{"$f":"SUM(AH391:AN391)","v":0},null,{"$f":"$L$391*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":0},{"$f":"$L$391*'Weekday Hours'!D40","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D41:D43)","v":0},{"$f":"$L$391*'Weekday Hours'!D44","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D45:D48)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D49:D54)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!D55:D57)","v":0},{"$f":"SUM(AQ391:AW391)","v":0},null,{"$f":"$M$391*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":0},{"$f":"$M$391*'Weekday Hours'!D40","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D41:D43)","v":0},{"$f":"$M$391*'Weekday Hours'!D44","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D45:D48)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D49:D54)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!D55:D57)","v":0},{"$f":"SUM(AZ391:BF391)","v":0},null,{"$f":"$L$391*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))","v":0},{"$f":"$L$391*'Weekday Hours'!V40","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V41:V43)","v":0},{"$f":"$L$391*'Weekday Hours'!V44","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V45:V48)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V49:V54)","v":0},{"$f":"$L$391*SUM('Weekday Hours'!V55:V57)","v":0},{"$f":"SUM(BI391:BO391)","v":0}]
[null,{"$f":"CONCATENATE(\"Distributes quantity in Cell I\",O388, \" among all 6 or just 3 categories, per parameter setting in Row \",'Policy Levers'!K258, \". In either case, distribution uses proportions in Row \",O85, \" here.\")","v":"Distributes quantity in Cell I388 among all 6 or just 3 categories, per parameter setting in Row A. In either case, distribution uses proportions in Row 85 here."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,"Allocation of change in outbound baseline volume among trip types",null,null,null,null,null,{"$f":"W394+AF394+AO394+AX394+BG394+BP394","v":0},{"$f":"I391","v":0},0,0,0,0,0,{"$f":"ROW()","v":394},{"$f":"$I$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$I$391*'Weekday Hours'!L40","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$I$391*'Weekday Hours'!L44","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$I$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(P394:V394)","v":0},null,{"$f":"$J$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$J$391*'Weekday Hours'!L40","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$J$391*'Weekday Hours'!L44","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$J$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(Y394:AE394)","v":0},null,{"$f":"$K$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$K$391*'Weekday Hours'!L40","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$K$391*'Weekday Hours'!L44","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$K$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(AH394:AN394)","v":0},null,{"$f":"AQ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ394:AW394)","v":0},null,{"$f":"$M$391*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":0},{"$f":"$M$391*'Weekday Hours'!L40","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L41:L43)","v":0},{"$f":"$M$391*'Weekday Hours'!L44","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L45:L48)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L49:L54)","v":0},{"$f":"$M$391*SUM('Weekday Hours'!L55:L57)","v":0},{"$f":"SUM(AZ394:BF394)","v":0},null,{"$f":"BI391","v":0},0,0,0,0,0,0,{"$f":"SUM(BI394:BO394)","v":0}]
[null,{"$f":"CONCATENATE(\"Distribution among trip categories is same as for inbound in Row \",O391,\". However, sub-distribution among *time periods differs since it follows time periods in Row \",O150, \" rather than Row \",O149,\".\")","v":"Distribution among trip categories is same as for inbound in Row 391. However, sub-distribution among *time periods differs since it follows time periods in Row 150 rather than Row 149."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,{"$f":"CONCATENATE(\"Note that any exogenous traffic inputs above are automatically copied into Row \",O438, \" and reflected in subsequent rows.\")","v":"Note that any exogenous traffic inputs above are automatically copied into Row 438 and reflected in subsequent rows."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,"E. Incorporate simultaneous and overlapping effects of (i) \"time-switching\" between periods (in response to time-varied tolls, if applicable), (ii) \"attraction\" or \"attrition\" of trips to or from subways, in response to possible changes in subway pricing and service, and (iii) ditto from the medallion taxi sector.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fig. in Row \",$O377, \" is derived in 'Taxis' tab, Row \",Taxis!O411, \", subject to 'IF' statement explained in large text box directly above.\")","v":"Fig. in Row 377 is derived in 'Taxis' tab, Row 411, subject to 'IF' statement explained in large text box directly above."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum below must match Row \",$O377, \".\")","v":"Sum below must match Row 377."},null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Fig. in Row \",$O377, \" is derived in 'Taxis' tab, Row \",Taxis!AG411, \", subject to 'IF' statement explained in large text box directly above.\")","v":"Fig. in Row 377 is derived in 'Taxis' tab, Row , subject to 'IF' statement explained in large text box directly above."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum below must match Row \",$O377, \".\")","v":"Sum below must match Row 377."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It takes into account changes in number of taxi trips due to (1) taxi fare changes, (2) taxi trip duration changes, (3) congestion toll, and (4) subway fare changes. It then factors the net result of those changes through a process reflecting the split in the change in taxi trips between new cordon crossings by taxis and changes in taxi cruising.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It takes into account changes in number of taxi trips due to (1) taxi fare changes, (2) taxi trip duration changes, (3) congestion toll, and (4) subway fare changes. It then factors the net result of those changes through a process reflecting the split in the change in taxi trips between new cordon crossings by taxis and changes in taxi cruising."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AQ406:AW406)","v":1273.2150484127353},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(BI406:BO406)","v":2260.6920661585859}]
[null,"1. Time-Switching of cordon entries between toll periods (see Time Switching worksheet for methodology and sources)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Ratio, trips in period to trips in earlier period, before new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405},{"$f":"P139/U139","v":4.5976823243675931},{"$f":"Q139/P139","v":0.35561199183446568},{"$f":"R139/Q139","v":2.6261397048129016},{"$f":"S139/R139","v":0.37700163248321966},{"$f":"T139/S139","v":1.006000356815917},{"$f":"U139/T139","v":0.61408070322273911},null,null,null,{"$f":"Y139/AD139","v":1.9692210009913858},{"$f":"Z139/Y139","v":0.42315376213174044},{"$f":"AA139/Z139","v":3.8743777846702598},{"$f":"AB139/AA139","v":0.73441026095361761},{"$f":"AC139/AB139","v":0.51641949597195924},{"$f":"AD139/AC139","v":0.81670272283320777},null,null,null,{"$f":"AH139/AM139","v":4.0868287327711945},{"$f":"AI139/AH139","v":0.35561199183446568},{"$f":"AJ139/AI139","v":2.3635257343316112},{"$f":"AK139/AJ139","v":0.55852093701217742},{"$f":"AL139/AK139","v":0.67905024085074406},{"$f":"AM139/AL139","v":0.76760087902842367},null,null,null,{"$f":"CONCATENATE(\"Distribute Row \",$O370, \" figure, which is 24-h, to different time bins, based on taxi entry patterns in Row \",$O139, \".\")","v":"Distribute Row 370 figure, which is 24-h, to different time bins, based on taxi entry patterns in Row 139."},null,null,null,null,null,null,null,null,{"$f":"AZ139/BE139","v":2.8293429688415963},{"$f":"BA139/AZ139","v":0.38524632448733781},{"$f":"BB139/BA139","v":3.1513676457754816},{"$f":"BC139/BB139","v":0.62833605413869964},{"$f":"BD139/BC139","v":0.60360021408955022},{"$f":"BE139/BD139","v":0.76760087902842378},null,null,null,{"$f":"CONCATENATE(\"Distribute Row \",$O370, \" figure, which is 24-h, to different time bins, based on taxi entry patterns in Row \",$O139, \".\")","v":"Distribute Row 370 figure, which is 24-h, to different time bins, based on taxi entry patterns in Row 139."}]
[null,"Ratio, trips in period to trips in later period, before new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406},{"$f":"P139/Q139","v":2.8120536510632954},{"$f":"Q139/R139","v":0.38078705339525898},{"$f":"R139/S139","v":2.6525084080226362},{"$f":"S139/T139","v":0.99403543271603922},{"$f":"T139/U139","v":1.6284504540721263},{"$f":"U139/P139","v":0.21750089054653185},null,null,null,{"$f":"Y139/Z139","v":2.363207158934983},{"$f":"Z139/AA139","v":0.25810596064139574},{"$f":"AA139/AB139","v":1.3616367487860521},{"$f":"AB139/AC139","v":1.9364102397371503},{"$f":"AC139/AD139","v":1.2244357365810157},{"$f":"AD139/Y139","v":0.50781501898291725},null,null,null,{"$f":"AH139/AI139","v":2.8120536510632954},{"$f":"AI139/AJ139","v":0.42309672599473225},{"$f":"AJ139/AK139","v":1.790443175415279},{"$f":"AK139/AL139","v":1.4726450855052433},{"$f":"AL139/AM139","v":1.3027603632577014},{"$f":"AM139/AH139","v":0.24468850186484828},null,null,null,{"$f":"(AQ139/$AX139)*$AX$377","v":304.88738532744702},117.45674457995365,370.14938464738054,232.57820379120287,140.38425360093308,107.75907646582539,null,null,null,{"$f":"AZ139/BA139","v":2.5957418317507344},{"$f":"BA139/BB139","v":0.31732254449604919},{"$f":"BB139/BC139","v":1.5915050448135815},{"$f":"BC139/BD139","v":1.6567257211933988},{"$f":"BD139/BE139","v":1.3027603632577012},{"$f":"BE139/AZ139","v":0.35343894713811419},null,null,null,{"$f":"(BI139/$AX139)*$AX$377","v":654.92989281791154},170.81450958665837,532.23034189327745,396.17751313954943,254.90655474143819,251.63325397976379]
[null,"Ratio, toll in period to toll in earlier period, before new tolls (defaults to unity unless difference in tolls is $1.00 or greater)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407},{"$f":"IF(ABS(P273-U273)<1,1,P273/U273)","v":1},{"$f":"IF(ABS(Q273-P273)<1,1,Q273/P273)","v":1},{"$f":"IF(ABS(R273-Q273)<1,1,R273/Q273)","v":1},{"$f":"IF(ABS(S273-R273)<1,1,S273/R273)","v":1},{"$f":"IF(ABS(T273-S273)<1,1,T273/S273)","v":1},{"$f":"IF(ABS(U273-T273)<1,1,U273/T273)","v":1},null,null,null,{"$f":"IF(ABS(Y273-AD273)<1,1,Y273/AD273)","v":1},{"$f":"IF(ABS(Z273-Y273)<1,1,Z273/Y273)","v":1},{"$f":"IF(ABS(AA273-Z273)<1,1,AA273/Z273)","v":1},{"$f":"IF(ABS(AB273-AA273)<1,1,AB273/AA273)","v":1},{"$f":"IF(ABS(AC273-AB273)<1,1,AC273/AB273)","v":1},{"$f":"IF(ABS(AD273-AC273)<1,1,AD273/AC273)","v":1},null,null,null,{"$f":"IF(ABS(AH273-AM273)<1,1,AH273/AM273)","v":1},{"$f":"IF(ABS(AI273-AH273)<1,1,AI273/AH273)","v":1},{"$f":"IF(ABS(AJ273-AI273)<1,1,AJ273/AI273)","v":1},{"$f":"IF(ABS(AK273-AJ273)<1,1,AK273/AJ273)","v":1},{"$f":"IF(ABS(AL273-AK273)<1,1,AL273/AK273)","v":1},{"$f":"IF(ABS(AM273-AL273)<1,1,AM273/AL273)","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ273-BE273)<1,1,AZ273/BE273)","v":1},{"$f":"IF(ABS(BA273-AZ273)<1,1,BA273/AZ273)","v":1},{"$f":"IF(ABS(BB273-BA273)<1,1,BB273/BA273)","v":1},{"$f":"IF(ABS(BC273-BB273)<1,1,BC273/BB273)","v":1},{"$f":"IF(ABS(BD273-BC273)<1,1,BD273/BC273)","v":1},{"$f":"IF(ABS(BE273-BD273)<1,1,BE273/BD273)","v":1}]
[null,"Ratio, toll in period to toll in later period, before new tolls (defaults to unity unless difference in tolls is $1.00 or greater)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408},{"$f":"IF(ABS(P273-Q273)<1,1,P273/Q273)","v":1},{"$f":"IF(ABS(Q273-R273)<1,1,Q273/R273)","v":1},{"$f":"IF(ABS(R273-S273)<1,1,R273/S273)","v":1},{"$f":"IF(ABS(S273-T273)<1,1,S273/T273)","v":1},{"$f":"IF(ABS(T273-U273)<1,1,T273/U273)","v":1},{"$f":"IF(ABS(U273-P273)<1,1,U273/P273)","v":1},null,null,null,{"$f":"IF(ABS(Y273-Z273)<1,1,Y273/Z273)","v":1},{"$f":"IF(ABS(Z273-AA273)<1,1,Z273/AA273)","v":1},{"$f":"IF(ABS(AA273-AB273)<1,1,AA273/AB273)","v":1},{"$f":"IF(ABS(AB273-AC273)<1,1,AB273/AC273)","v":1},{"$f":"IF(ABS(AC273-AD273)<1,1,AC273/AD273)","v":1},{"$f":"IF(ABS(AD273-Y273)<1,1,AD273/Y273)","v":1},null,null,null,{"$f":"IF(ABS(AH273-AI273)<1,1,AH273/AI273)","v":1},{"$f":"IF(ABS(AI273-AJ273)<1,1,AI273/AJ273)","v":1},{"$f":"IF(ABS(AJ273-AK273)<1,1,AJ273/AK273)","v":1},{"$f":"IF(ABS(AK273-AL273)<1,1,AK273/AL273)","v":1},{"$f":"IF(ABS(AL273-AM273)<1,1,AL273/AM273)","v":1},{"$f":"IF(ABS(AM273-AH273)<1,1,AM273/AH273)","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ273-BA273)<1,1,AZ273/BA273)","v":1},{"$f":"IF(ABS(BA273-BB273)<1,1,BA273/BB273)","v":1},{"$f":"IF(ABS(BB273-BC273)<1,1,BB273/BC273)","v":1},{"$f":"IF(ABS(BC273-BD273)<1,1,BC273/BD273)","v":1},{"$f":"IF(ABS(BD273-BE273)<1,1,BD273/BE273)","v":1},{"$f":"IF(ABS(BE273-AZ273)<1,1,BE273/AZ273)","v":1}]
[null,"Ratio, toll in period to toll in earlier period, with new tolls (defaults to unity unless difference in tolls is $1.00 or greater)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409},{"$f":"IF(ABS(P345-U345)<1, 1, P345/U345)","v":1},{"$f":"IF(ABS(Q345-P345)<1, 1, Q345/P345)","v":1},{"$f":"IF(ABS(R345-Q345)<1, 1, R345/Q345)","v":4.2831015499717759},{"$f":"IF(ABS(S345-R345)<1, 1, S345/R345)","v":1},{"$f":"IF(ABS(T345-S345)<1, 1, T345/S345)","v":1},{"$f":"IF(ABS(U345-T345)<1, 1, U345/T345)","v":0.2492374968261003},null,null,null,{"$f":"IF(ABS(Y345-AD345)<1, 1, Y345/AD345)","v":1},{"$f":"IF(ABS(Z345-Y345)<1, 1, Z345/Y345)","v":1},{"$f":"IF(ABS(AA345-Z345)<1, 1, AA345/Z345)","v":4.2795737561980811},{"$f":"IF(ABS(AB345-AA345)<1, 1, AB345/AA345)","v":1},{"$f":"IF(ABS(AC345-AB345)<1, 1, AC345/AB345)","v":1},{"$f":"IF(ABS(AD345-AC345)<1, 1, AD345/AC345)","v":0.24944737034114914},null,null,null,{"$f":"IF(ABS(AH345-AM345)<1, 1, AH345/AM345)","v":1},{"$f":"IF(ABS(AI345-AH345)<1, 1, AI345/AH345)","v":1},{"$f":"IF(ABS(AJ345-AI345)<1, 1, AJ345/AI345)","v":2.9554835060772606},{"$f":"IF(ABS(AK345-AJ345)<1, 1, AK345/AJ345)","v":1},{"$f":"IF(ABS(AL345-AK345)<1, 1, AL345/AK345)","v":1},{"$f":"IF(ABS(AM345-AL345)<1, 1, AM345/AL345)","v":0.36471690006928975},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ345-BE345)<1, 1, AZ345/BE345)","v":1},{"$f":"IF(ABS(BA345-AZ345)<1, 1, BA345/AZ345)","v":1},{"$f":"IF(ABS(BB345-BA345)<1, 1, BB345/BA345)","v":5.0514274326446031},{"$f":"IF(ABS(BC345-BB345)<1, 1, BC345/BB345)","v":1},{"$f":"IF(ABS(BD345-BC345)<1, 1, BD345/BC345)","v":1},{"$f":"IF(ABS(BE345-BD345)<1, 1, BE345/BD345)","v":0.21063979733338106}]
[null,"Ratio, toll in period to toll in later period, with new tolls (defaults to unity unless difference in tolls is $1.00 or greater)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410},{"$f":"IF(ABS(P345-Q345)<1, 1, P345/Q345)","v":1},{"$f":"IF(ABS(Q345-R345)<1, 1, Q345/R345)","v":0.23347566905262604},{"$f":"IF(ABS(R345-S345)<1, 1, R345/S345)","v":1},{"$f":"IF(ABS(S345-T345)<1, 1, S345/T345)","v":1},{"$f":"IF(ABS(T345-U345)<1, 1, T345/U345)","v":4.0122373749312965},{"$f":"IF(ABS(U345-P345)<1, 1, U345/P345)","v":1},null,null,null,{"$f":"IF(ABS(Y345-Z345)<1, 1, Y345/Z345)","v":1},{"$f":"IF(ABS(Z345-AA345)<1, 1, Z345/AA345)","v":0.23366813074589635},{"$f":"IF(ABS(AA345-AB345)<1, 1, AA345/AB345)","v":1},{"$f":"IF(ABS(AB345-AC345)<1, 1, AB345/AC345)","v":1},{"$f":"IF(ABS(AC345-AD345)<1, 1, AC345/AD345)","v":4.0088616634137306},{"$f":"IF(ABS(AD345-Y345)<1, 1, AD345/Y345)","v":1},null,null,null,{"$f":"IF(ABS(AH345-AI345)<1, 1, AH345/AI345)","v":1},{"$f":"IF(ABS(AI345-AJ345)<1, 1, AI345/AJ345)","v":0.33835411293743778},{"$f":"IF(ABS(AJ345-AK345)<1, 1, AJ345/AK345)","v":1},{"$f":"IF(ABS(AK345-AL345)<1, 1, AK345/AL345)","v":1},{"$f":"IF(ABS(AL345-AM345)<1, 1, AL345/AM345)","v":2.741852652865874},{"$f":"IF(ABS(AM345-AH345)<1, 1, AM345/AH345)","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ABS(AZ345-BA345)<1, 1, AZ345/BA345)","v":1},{"$f":"IF(ABS(BA345-BB345)<1, 1, BA345/BB345)","v":0.19796384553355134},{"$f":"IF(ABS(BB345-BC345)<1, 1, BB345/BC345)","v":1},{"$f":"IF(ABS(BC345-BD345)<1, 1, BC345/BD345)","v":1},{"$f":"IF(ABS(BD345-BE345)<1, 1, BD345/BE345)","v":4.7474409520879526},{"$f":"IF(ABS(BE345-AZ345)<1, 1, BE345/AZ345)","v":1}]
[null,{"$f":"CONCATENATE(\"Ratio of toll ratios for time-switching earlier (Row \",O409,\" div. by Row \",O407,\"); if > 1, some trips will switch to earlier period\")","v":"Ratio of toll ratios for time-switching earlier (Row 409 div. by Row 407); if > 1, some trips will switch to earlier period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411},{"$f":"P409/P407","v":1},1,4.2831015499717759,1,1,0.2492374968261003,null,null,null,{"$f":"Y409/Y407","v":1},1,4.2795737561980811,1,1,0.24944737034114914,null,null,null,{"$f":"AH409/AH407","v":1},1,2.9554835060772606,1,1,0.36471690006928975,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ409/AZ407","v":1},1,5.0514274326446031,1,1,0.21063979733338106]
[null,{"$f":"CONCATENATE(\"Ratio of toll ratios for time-switching later (Row \",O410,\" div. by Row \",O408,\"); if > 1, some trips will switch to later period\")","v":"Ratio of toll ratios for time-switching later (Row 410 div. by Row 408); if > 1, some trips will switch to later period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412},1,0.23347566905262604,1,1,4.0122373749312965,1,null,null,null,{"$f":"Y410/Y408","v":1},0.23366813074589635,1,1,4.0088616634137306,1,null,null,null,{"$f":"AH410/AH408","v":1},0.33835411293743778,1,1,2.741852652865874,1,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ410/AZ408","v":1},0.19796384553355134,1,1,4.7474409520879526,1]
[null,"Elasticities for calculating \"time-switching earlier\" factor",null,null,null,null,null,null,"See explanation in Time Switching worksheet",null,null,null,null,null,{"$f":"ROW()","v":413},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},null,null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},null,null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H183","v":-0.6},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H187","v":-0.41},{"$f":"'Weekday Hours'!$H185","v":-0.22}]
[null,"Elasticities for calculating \"time-switching later\" factor",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},null,null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},null,null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H184","v":-0.13},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H188","v":-0.11},{"$f":"'Weekday Hours'!$H186","v":-0.09}]
[null,"Effective Elasticities for calculating \"time-switching earlier\" factor (modifies elasticity above to reflect possible difference in period duration from 3-hour period in underlying PANYNJ analysis)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415},{"$f":"1-(1-MIN(P411^(P413*(VLOOKUP(P$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(Q411^(Q413*(VLOOKUP(Q$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(R411^(R413*(VLOOKUP(R$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.57274905354461292},{"$f":"1-(1-MIN(S411^(S413*(VLOOKUP(S$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(T411^(T413*(VLOOKUP(T$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(U411^(U413*(VLOOKUP(U$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,{"$f":"1-(1-MIN(Y411^(Y413*(VLOOKUP(Y$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(Z411^(Z413*(VLOOKUP(Z$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AA411^(AA413*(VLOOKUP(AA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.57292988956653257},{"$f":"1-(1-MIN(AB411^(AB413*(VLOOKUP(AB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AC411^(AC413*(VLOOKUP(AC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AD411^(AD413*(VLOOKUP(AD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,{"$f":"1-(1-MIN(AH411^(AH413*(VLOOKUP(AH$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AI411^(AI413*(VLOOKUP(AI$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AJ411^(AJ413*(VLOOKUP(AJ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.66023039025320207},{"$f":"1-(1-MIN(AK411^(AK413*(VLOOKUP(AK$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AL411^(AL413*(VLOOKUP(AL$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AM411^(AM413*(VLOOKUP(AM$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-(1-MIN(AZ411^(AZ413*(VLOOKUP(AZ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BA411^(BA413*(VLOOKUP(BA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BB411^(BB413*(VLOOKUP(BB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.537665343761492},{"$f":"1-(1-MIN(BC411^(BC413*(VLOOKUP(BC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BD411^(BD413*(VLOOKUP(BD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BE411^(BE413*(VLOOKUP(BE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1}]
[null,"Effective Elasticities for calculating \"time-switching later\" factor (modifies elasticity above to reflect possible difference in period duration from 3-hour period in underlying PANYNJ analysis)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416},{"$f":"1-(1-MIN(P412^(P414*(VLOOKUP(P$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(Q412^(Q414*(VLOOKUP(Q$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(R412^(R414*(VLOOKUP(R$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(S412^(S414*(VLOOKUP(S$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(T412^(T414*(VLOOKUP(T$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.81689628629404243},{"$f":"1-(1-MIN(U412^(U414*(VLOOKUP(U$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,{"$f":"1-(1-MIN(Y412^(Y414*(VLOOKUP(Y$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(Z412^(Z414*(VLOOKUP(Z$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AA412^(AA414*(VLOOKUP(AA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AB412^(AB414*(VLOOKUP(AB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AC412^(AC414*(VLOOKUP(AC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.81699638245586259},{"$f":"1-(1-MIN(AD412^(AD414*(VLOOKUP(AD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,{"$f":"1-(1-MIN(AH412^(AH414*(VLOOKUP(AH$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AI412^(AI414*(VLOOKUP(AI$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AJ412^(AJ414*(VLOOKUP(AJ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AK412^(AK414*(VLOOKUP(AK$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(AL412^(AL414*(VLOOKUP(AL$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.86344624779377677},{"$f":"1-(1-MIN(AM412^(AM414*(VLOOKUP(AM$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"1-(1-MIN(AZ412^(AZ414*(VLOOKUP(AZ$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BA412^(BA414*(VLOOKUP(BA$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BB412^(BB414*(VLOOKUP(BB$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BC412^(BC414*(VLOOKUP(BC$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1},{"$f":"1-(1-MIN(BD412^(BD414*(VLOOKUP(BD$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":0.79713141223867667},{"$f":"1-(1-MIN(BE412^(BE414*(VLOOKUP(BE$135,'Weekday Hours'!$E$142:$G$151,3)/'Weekday Hours'!$G$144)),1))","v":1}]
[null,{"$f":"CONCATENATE(\"Factor to multiply Row \",O405,\" fig., to indicate trips switching to earlier period\")","v":"Factor to multiply Row 405 fig., to indicate trips switching to earlier period"},null,null,null,null,null,"Note: factors > 1 default to 1, since algorithm is invoked only for switching out.",null,null,null,null,null,null,{"$f":"ROW()","v":417},{"$f":"MIN(P411^P415,1)","v":1},1,1,1,1,0.2492374968261003,null,null,null,{"$f":"MIN(Y411^Y415,1)","v":1},1,1,1,1,0.24944737034114914,null,null,null,{"$f":"MIN(AH411^AH415,1)","v":1},1,1,1,1,0.36471690006928975,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MIN(AZ411^AZ415,1)","v":1},1,1,1,1,0.21063979733338106]
[null,{"$f":"CONCATENATE(\"Factor to multiply Row \",O406,\" fig., to indicate trips switching to later period\")","v":"Factor to multiply Row 406 fig., to indicate trips switching to later period"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418},{"$f":"MIN(P412^P416,1)","v":1},0.23347566905262604,1,1,1,1,null,null,null,{"$f":"MIN(Y412^Y416,1)","v":1},0.23366813074589635,1,1,1,1,null,null,null,{"$f":"MIN(AH412^AH416,1)","v":1},0.33835411293743778,1,1,1,1,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"MIN(AZ412^AZ416,1)","v":1},0.19796384553355134,1,1,1,1]
[null,"New ratio of trips in period to trips in earlier period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419},{"$f":"P417*P405","v":4.5976823243675931},0.35561199183446568,2.6261397048129016,0.37700163248321966,1.006000356815917,0.15305193732044689,null,null,null,{"$f":"Y415*Y405","v":1.9692210009913858},0.42315376213174044,2.2197468363101591,0.73441026095361761,0.51641949597195924,0.81670272283320777,null,null,null,{"$f":"AH415*AH405","v":4.0868287327711945},0.35561199183446568,1.5604715179512456,0.55852093701217742,0.67905024085074406,0.76760087902842367,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ415*AZ405","v":2.8293429688415963},0.38524632448733781,1.6943811685847181,0.62833605413869964,0.60360021408955022,0.76760087902842378]
[null,"New ratio of trips in period to trips in later period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420},2.8120536510632954,8.8904512058036123E-2,2.6525084080226362,0.99403543271603922,1.6284504540721263,0.21750089054653185,null,null,null,2.363207158934983,0.25810596064139574,1.3616367487860521,1.9364102397371503,1.0003595673363692,0.50781501898291725,null,null,null,2.8120536510632954,0.42309672599473225,1.790443175415279,1.4726450855052433,1.1248635474293198,0.24468850186484828,null,null,null,null,null,null,null,null,null,null,null,null,2.5957418317507344,0.31732254449604919,1.5915050448135815,1.6567257211933988,1.0384712081721827,0.35343894713811419]
[null,"Trips switching to earlier period",null,null,null,null,{"$f":"P421+Y421+AH421+AQ421+AZ421+BI421","v":7.1517619291063111E-13},0,13974.667105158884,-2.7927119204334052E-13,0,3516.9886555832773,null,{"$f":"SUM(G421:M421)","v":17491.65576074216},{"$f":"ROW()","v":421},{"$f":"(P$139-U$139*P419)/(1+P419)","v":0},{"$f":"(Q$139-P$139*Q419)/(1+Q419)","v":0},{"$f":"(R$139-Q$139*R419)/(1+R419)","v":0},{"$f":"(S$139-R$139*S419)/(1+S419)","v":0},{"$f":"(T$139-S$139*T419)/(1+T419)","v":0},{"$f":"(U$139-T$139*U419)/(1+U419)","v":3516.9886555832777},null,null,null,{"$f":"(Y$139-AD$139*Y419)/(1+Y419)","v":0},{"$f":"(Z$139-Y$139*Z419)/(1+Z419)","v":0},{"$f":"(AA$139-Z$139*AA419)/(1+AA419)","v":9643.3616397288697},{"$f":"(AB$139-AA$139*AB419)/(1+AB419)","v":0},{"$f":"(AC$139-AB$139*AC419)/(1+AC419)","v":0},{"$f":"(AD$139-AC$139*AD419)/(1+AD419)","v":0},null,null,null,{"$f":"(AH$139-AM$139*AH419)/(1+AH419)","v":7.1517619291063111E-13},{"$f":"(AI$139-AH$139*AI419)/(1+AI419)","v":0},{"$f":"(AJ$139-AI$139*AJ419)/(1+AJ419)","v":3523.1634287472666},{"$f":"(AK$139-AJ$139*AK419)/(1+AK419)","v":0},{"$f":"(AL$139-AK$139*AL419)/(1+AL419)","v":0},{"$f":"(AM$139-AL$139*AM419)/(1+AM419)","v":-5.1453623528001384E-13},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ$139-BE$139*AZ419)/(1+AZ419)","v":0},{"$f":"(BA$139-AZ$139*BA419)/(1+BA419)","v":0},{"$f":"(BB$139-BA$139*BB419)/(1+BB419)","v":808.14203668274797},{"$f":"(BC$139-BB$139*BC419)/(1+BC419)","v":-2.7927119204334052E-13},{"$f":"(BD$139-BC$139*BD419)/(1+BD419)","v":0},{"$f":"(BE$139-BD$139*BE419)/(1+BE419)","v":0}]
[null,"Trips switching to later period",null,null,null,null,0,6216.8268146351866,0,0,3347.4535879233804,2.4127487531896834E-12,null,{"$f":"SUM(G422:M422)","v":9564.2804025585683},{"$f":"ROW()","v":422},{"$f":"(P$139-Q$139*P420)/(1+P420)","v":0},{"$f":"(Q$139-R$139*Q420)/(1+Q420)","v":6216.8268146351866},{"$f":"(R$139-S$139*R420)/(1+R420)","v":0},{"$f":"(S$139-T$139*S420)/(1+S420)","v":0},{"$f":"(T$139-U$139*T420)/(1+T420)","v":0},{"$f":"(U$139-P$139*U420)/(1+U420)","v":0},null,null,null,{"$f":"(Y$139-Z$139*Y420)/(1+Y420)","v":0},{"$f":"(Z$139-AA$139*Z420)/(1+Z420)","v":0},{"$f":"(AA$139-AB$139*AA420)/(1+AA420)","v":0},{"$f":"(AB$139-AC$139*AB420)/(1+AB420)","v":0},{"$f":"(AC$139-AD$139*AC420)/(1+AC420)","v":2522.5743426902727},{"$f":"(AD$139-Y$139*AD420)/(1+AD420)","v":2.4127487531896834E-12},null,null,null,{"$f":"(AH$139-AI$139*AH420)/(1+AH420)","v":0},{"$f":"(AI$139-AJ$139*AI420)/(1+AI420)","v":0},{"$f":"(AJ$139-AK$139*AJ420)/(1+AJ420)","v":0},{"$f":"(AK$139-AL$139*AK420)/(1+AK420)","v":0},{"$f":"(AL$139-AM$139*AL420)/(1+AL420)","v":647.11603975627929},{"$f":"(AM$139-AH$139*AM420)/(1+AM420)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"(AZ$139-BA$139*AZ420)/(1+AZ420)","v":0},{"$f":"(BA$139-BB$139*BA420)/(1+BA420)","v":0},{"$f":"(BB$139-BC$139*BB420)/(1+BB420)","v":0},{"$f":"(BC$139-BD$139*BC420)/(1+BC420)","v":0},{"$f":"(BD$139-BE$139*BD420)/(1+BD420)","v":177.7632054768284},{"$f":"(BE$139-AZ$139*BE420)/(1+BE420)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,"2. All direct changes to trip entries due to new tolls (details)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,{"$f":"CONCATENATE(\"Daily cordon vehicle entries in period (reproduced from row \",O139, \")\")","v":"Daily cordon vehicle entries in period (reproduced from row 139)"},null,null,null,null,{"$f":"G139","v":127489.90266965074},47184.565338184068,148630.17696970314,94888.587284235051,57632.547930779911,45574.21980744708,null,{"$f":"SUM(G425:M425)","v":521400},{"$f":"ROW()","v":425},{"$f":"P139","v":24834.545945615122},8831.4623500247471,23192.653928960244,8743.6683928363709,8796.1335230734458,5401.5358594900508,null,{"$f":"SUM(P425:V425)","v":79799.999999999971},null,{"$f":"Y139","v":44345.630019054333},18765.020176665086,72702.777301360402,53393.665649944836,27573.529903039827,22519.376949935504,null,{"$f":"SUM(Y425:AE425)","v":239300},null,{"$f":"AH139","v":31588.679688986482},11233.313303621413,26550.225074918857,14828.856586727888,10069.538636758714,7729.3867089866635,null,{"$f":"SUM(AH425:AN425)","v":102000.00000000001},null,{"$f":"AQ139","v":7255.7167675156952},2795.2382162065696,8808.8232767885529,5534.9012593424495,3340.8675851036232,2564.4528950431086,null,{"$f":"SUM(AQ425:AW425)","v":30300},null,{"$f":"AZ139","v":3879.2941133252234},1494.4837987639085,4709.6678905602166,2959.2541386583393,1786.2064316395611,1371.0936270527511,null,{"$f":"SUM(AZ425:BF425)","v":16200},null,{"$f":"BI139","v":15586.036135153894},4065.0474929023389,12666.029497114847,9428.2412567251649,6066.2718511647436,5988.3737669390048,null,{"$f":"SUM(BI425:BO425)","v":53799.999999999993}]
[null,"Vehicle entries in period eliminated due to new tolls (Round #1)",null,null,null,null,{"$f":"P426+Y426+AH426+AZ426","v":3.5458073645077318E-2},{"$f":"Q426+Z426+AI426+BA426","v":1.0031335034492517E-2},22096.086532495945,12961.596602236179,7986.7498911519669,8.7595929636759082E-3,null,{"$f":"SUM(G426:M426)","v":43044.487274885731},{"$f":"ROW()","v":426},{"$f":"P$425*P369","v":7.1385328303111518E-3},1.7634772382374717E-3,3060.5608327761679,1023.9532695949501,1074.6692364492931,9.5392324376370374E-4,null,{"$f":"SUM(P426:V426)","v":5159.1931947537241},null,{"$f":"Y$425*Y369","v":1.9099178873583391E-2},5.6143232262051822E-3,13893.677844300706,9091.171755327463,4891.3806039136716,5.9588668311174823E-3,null,{"$f":"SUM(Y426:AE426)","v":27876.260875910772},null,{"$f":"AH$425*AH369","v":8.7988065219021631E-3},2.5248251276487428E-3,4823.6960757942452,2649.7714587657742,1894.7469740236181,1.7303206094690861E-3,null,9368.2275625358961,null,{"$f":"CONCATENATE(\"We have eliminated these entries for medallion taxis, since (i) changes in taxi entries into the CBD are accounted for above, in Rows \",$O370, \" and \",$O410, \" and (ii) switching between time periods doesn't apply since taxi fares aren't varied by time of day.\")","v":"We have eliminated these entries for medallion taxis, since (i) changes in taxi entries into the CBD are accounted for above, in Rows 370 and 410 and (ii) switching between time periods doesn't apply since taxi fares aren't varied by time of day."},null,null,null,null,null,null,null,null,{"$f":"AZ$425*AZ369","v":4.2155541928061673E-4},1.2870944240112001E-4,318.1517796248209,196.7001185479977,125.95307676538729,1.1648227932563696E-4,null,{"$f":"SUM(AZ426:BF426)","v":640.80564168534693},null,{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BI425","v":0},{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BJ425","v":0},{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BK425","v":0},{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BL425","v":0},{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BM425","v":0},{"$f":"UberLyft!$M$331*'Motor Vs Weekends'!BN425","v":0},null,{"$f":"SUM(BI426:BO426)","v":0},null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,"Vehicle entries switched from period into earlier period due to tolls",null,null,null,null,7.1517619291063111E-13,{"$f":"Q427+Z427+AI427+BA427","v":0},{"$f":"R427+AA427+AJ427+BB427","v":13974.667105158884},{"$f":"S427+AB427+AK427+BC427","v":-2.7927119204334052E-13},{"$f":"T427+AC427+AL427+BD427","v":0},{"$f":"U427+AD427+AM427+BE427","v":3516.9886555832773},null,17491.65576074216,{"$f":"ROW()","v":427},{"$f":"P421","v":0},0,0,0,0,3516.9886555832777,null,3516.9886555832777,null,{"$f":"Y421","v":0},0,9643.3616397288697,0,0,0,null,9643.3616397288697,null,{"$f":"AH421","v":7.1517619291063111E-13},0,3523.1634287472666,0,0,-5.1453623528001384E-13,null,3523.1634287472671,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ421","v":0},0,808.14203668274797,-2.7927119204334052E-13,0,0,null,808.14203668274774,null,{"$f":"CONCATENATE(\"Figs in Row \",O426, \" are products of % change in UberLyft weekend CBD entries from 'UberLyft' tab, Cell M\",UberLyft!O331, \" multiplied by figs in Row \",O425, \".\")","v":"Figs in Row 426 are products of % change in UberLyft weekend CBD entries from 'UberLyft' tab, Cell M331 multiplied by figs in Row 425."}]
[null,"Vehicle entries switched from period into later period due to tolls",null,null,null,null,0,6216.8268146351866,0,0,3347.4535879233804,2.4127487531896834E-12,null,9564.2804025585683,{"$f":"ROW()","v":428},0,6216.8268146351866,0,0,0,0,null,6216.8268146351866,null,{"$f":"Y422","v":0},0,0,0,2522.5743426902727,2.4127487531896834E-12,null,2522.574342690275,null,{"$f":"AH422","v":0},0,0,0,647.11603975627929,0,null,647.11603975627929,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ422","v":0},0,0,0,177.7632054768284,0,null,177.7632054768284]
[null,"Vehicle entries switched from period, total",null,null,null,null,7.1517619291063111E-13,6216.8268146351866,13974.667105158884,-2.7927119204334052E-13,3347.4535879233804,3516.9886555832795,null,27055.936163300728,{"$f":"ROW()","v":429},{"$f":"P427+P428","v":0},6216.8268146351866,0,0,0,3516.9886555832777,null,9733.8154702184638,null,{"$f":"Y427+Y428","v":0},0,9643.3616397288697,0,2522.5743426902727,2.4127487531896834E-12,null,12165.935982419143,null,{"$f":"AH427+AH428","v":7.1517619291063111E-13},0,3523.1634287472666,0,647.11603975627929,-5.1453623528001384E-13,null,4170.279468503546,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ427+AZ428","v":0},0,808.14203668274797,-2.7927119204334052E-13,177.7632054768284,0,null,985.90524215957612]
[null,"Vehicle entries gained from later period due to new tolls",null,null,null,null,0,13974.667105158884,-2.7927119204334052E-13,0,3516.9886555832773,7.1517619291063111E-13,null,17491.65576074216,{"$f":"ROW()","v":430},{"$f":"Q427","v":0},{"$f":"R427","v":0},{"$f":"S427","v":0},{"$f":"T427","v":0},{"$f":"U427","v":3516.9886555832777},{"$f":"P427","v":0},null,3516.9886555832777,null,{"$f":"Z427","v":0},{"$f":"AA427","v":9643.3616397288697},{"$f":"AB427","v":0},{"$f":"AC427","v":0},{"$f":"AD427","v":0},{"$f":"Y427","v":0},null,9643.3616397288697,null,{"$f":"AI427","v":0},{"$f":"AJ427","v":3523.1634287472666},{"$f":"AK427","v":0},{"$f":"AL427","v":0},{"$f":"AM427","v":-5.1453623528001384E-13},{"$f":"AH427","v":7.1517619291063111E-13},null,3523.1634287472671,null,null,null,null,null,null,null,null,null,null,{"$f":"BA427","v":0},{"$f":"BB427","v":808.14203668274797},{"$f":"BC427","v":-2.7927119204334052E-13},{"$f":"BD427","v":0},{"$f":"BE427","v":0},{"$f":"AZ427","v":0},null,808.14203668274774]
[null,"Vehicle entries gained from earlier period due to new tolls",null,null,null,null,2.4127487531896834E-12,0,6216.8268146351866,0,0,3347.4535879233804,null,9564.2804025585701,{"$f":"ROW()","v":431},{"$f":"U428","v":0},{"$f":"P428","v":0},{"$f":"Q428","v":6216.8268146351866},{"$f":"R428","v":0},{"$f":"S428","v":0},{"$f":"T428","v":0},null,6216.8268146351866,null,{"$f":"AD428","v":2.4127487531896834E-12},{"$f":"Y428","v":0},{"$f":"Z428","v":0},{"$f":"AA428","v":0},{"$f":"AB428","v":0},{"$f":"AC428","v":2522.5743426902727},null,2522.574342690275,null,{"$f":"AM428","v":0},{"$f":"AH428","v":0},{"$f":"AI428","v":0},{"$f":"AJ428","v":0},{"$f":"AK428","v":0},{"$f":"AL428","v":647.11603975627929},null,647.11603975627929,null,null,null,null,null,null,null,null,null,null,{"$f":"BE428","v":0},{"$f":"AZ428","v":0},{"$f":"BA428","v":0},{"$f":"BB428","v":0},{"$f":"BC428","v":0},{"$f":"BD428","v":177.7632054768284},null,177.7632054768284]
[null,"Vehicle entries switched into period, total",null,null,null,null,2.4127487531896834E-12,13974.667105158884,6216.8268146351866,0,3516.9886555832773,3347.4535879233808,null,27055.936163300732,{"$f":"ROW()","v":432},{"$f":"P430+P431","v":0},0,6216.8268146351866,0,3516.9886555832777,0,null,9733.8154702184638,null,{"$f":"Y430+Y431","v":2.4127487531896834E-12},9643.3616397288697,0,0,0,2522.5743426902727,null,12165.935982419145,null,{"$f":"AH430+AH431","v":0},3523.1634287472666,0,0,-5.1453623528001384E-13,647.11603975627997,null,4170.279468503546,null,null,null,null,null,null,null,null,null,null,{"$f":"AZ430+AZ431","v":0},808.14203668274797,-2.7927119204334052E-13,0,0,177.7632054768284,null,985.90524215957612]
[null,"Net change in auto entries in period due to new tolls",null,null,null,null,-3.5458073643379752E-2,7757.8302591886622,-29853.926823019643,-12961.596602236177,-7817.2148234920714,-169.5438272528618,null,{"$f":"SUM(G433:M433)","v":-43044.487274885738},{"$f":"ROW()","v":433},{"$f":"P432-P429-P426","v":-7.1385328303111518E-3},-6216.828578112425,3156.2659818590187,-1023.9532695949501,2442.3194191339844,-3516.9896095065214,null,{"$f":"SUM(P433:V433)","v":-5159.1931947537232},null,{"$f":"Y432-Y429-Y426","v":-1.9099178871170644E-2},9643.3560254056429,-23537.039484029578,-9091.171755327463,-7413.9549466039443,2522.5683838234395,null,{"$f":"SUM(Y433:AE433)","v":-27876.260875910775},null,{"$f":"AH432-AH429-AH426","v":-8.7988065226173393E-3},3523.1609039221389,-8346.8595045415113,-2649.7714587657742,-2541.8630137798982,647.11430943567109,null,-9368.2275625358961,null,{"$f":"AQ406","v":304.88738532744702},117.45674457995365,370.14938464738054,232.57820379120287,140.38425360093308,107.75907646582539,null,{"$f":"SUM(AQ433:AW433)","v":1273.2150484127424},null,{"$f":"AZ432-AZ429-AZ426","v":-4.2155541928061673E-4},808.14190797330559,-1126.2938163075692,-196.70011854799742,-303.7162822422157,177.76308899454907,null,{"$f":"SUM(AZ433:BF433)","v":-640.80564168534693},null,{"$f":"BI406+BI426","v":654.92989281791154},170.81450958665837,532.23034189327745,396.17751313954943,254.90655474143819,251.63325397976379,null,{"$f":"SUM(BI433:BO433)","v":2260.6920661585987}]
[null,"Daily cordon auto entries in period after tolls, 1st round (vehs.)",null,null,null,null,{"$f":"P434+Y434+AH434+AQ434+AZ434+BI434","v":128449.68448972245},55230.666851539339,119678.62987322413,82555.746398929623,50210.623915630218,45764.068310639814,null,{"$f":"SUM(G434:M434)","v":481889.41983968561},{"$f":"ROW()","v":434},{"$f":"P425+P433","v":24834.538807082292},2614.6337719123221,26348.919910819262,7719.7151232414208,11238.45294220743,1884.5462499835294,null,{"$f":"SUM(P434:V434)","v":74640.806805246248},null,{"$f":"Y425+Y433","v":44345.610919875464},28408.376202070729,49165.737817330824,44302.493894617372,20159.574956435885,25041.945333758944,null,{"$f":"SUM(Y434:AE434)","v":211423.73912408922},null,{"$f":"AH425+AH433","v":31588.670890179957},14756.474207543552,18203.365570377347,12179.085127962115,7527.6756229788161,8376.5010184223338,null,92631.772437464126,null,{"$f":"AQ425+AQ433","v":7560.6041528431424},2912.6949607865231,9178.9726614359333,5767.4794631336526,3481.2518387045561,2672.2119715089339,null,{"$f":"SUM(AQ434:AW434)","v":31573.215048412741},null,{"$f":"AZ425+AZ433","v":3879.2936917698039},2302.6257067372139,3583.3740742526475,2762.5540201103418,1482.4901493973452,1548.8567160473001,null,{"$f":"SUM(AZ434:BF434)","v":15559.194358314651},null,{"$f":"BI425+BI433","v":16240.966027971806},4235.8620024889969,13198.259839008124,9824.4187698647147,6321.178405906182,6240.0070209187688,null,{"$f":"SUM(BI434:BO434)","v":56060.692066158597}]
[null,"Per-hour cordon auto entries in period after tolls, 1st round (vehs.)",null,null,null,null,{"$f":"G434/G135","v":12844.968448972246},27615.33342576967,23935.725974644825,27518.582132976542,25105.311957815109,22882.034155319907,null,null,{"$f":"ROW()","v":435},{"$f":"P434/P135","v":2483.453880708229},1307.3168859561611,5269.7839821638527,2573.2383744138069,5619.2264711037151,942.27312499176469,null,null,null,{"$f":"Y434/Y135","v":4434.5610919875462},14204.188101035365,9833.1475634661656,14767.497964872457,10079.787478217942,12520.972666879472,null,null,null,{"$f":"AH434/AH135","v":3158.8670890179956},7378.2371037717758,3640.6731140754696,4059.6950426540384,3763.8378114894081,4188.2505092111669,null,null,null,{"$f":"AQ434/AQ135","v":756.06041528431422},1456.3474803932615,1835.7945322871867,1922.4931543778841,1740.6259193522781,1336.1059857544669,null,null,null,{"$f":"AZ434/AZ135","v":387.9293691769804},1151.312853368607,716.67481485052951,920.85134003678058,741.24507469867262,774.42835802365005,null,null,null,{"$f":"BI434/BI135","v":1624.0966027971806},2117.9310012444985,2639.6519678016248,3274.8062566215717,3160.589202953091,3120.0035104593844]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"3. Changes to trip entries due to subway \"attraction\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Change in inbound baseline volume due to exogenous event",null,null,null,null,{"$f":"P438+Y438+AH438+AQ438+AZ438+BI438","v":0},0,0,0,0,0,0,{"$f":"SUM(G438:M438)","v":0},{"$f":"ROW()","v":438},{"$f":"P391","v":0},0,0,0,0,0,0,{"$f":"SUM(P438:V438)","v":0},null,{"$f":"Y391","v":0},0,0,0,0,0,0,{"$f":"SUM(Y438:AE438)","v":0},null,{"$f":"AH391","v":0},0,0,0,0,0,0,{"$f":"SUM(AH438:AN438)","v":0},null,{"$f":"AQ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AQ438:AW438)","v":0},null,{"$f":"AZ391","v":0},0,0,0,0,0,0,{"$f":"SUM(AZ438:BF438)","v":0},null,{"$f":"BI391","v":0},0,0,0,0,0,0,{"$f":"SUM(BI438:BO438)","v":0}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O391, \".\")","v":"Copied from Row 391."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,"We approximate the figures in this section from Motor Vs worksheet rather than recreate the elaborate procedure used to calculate each hour's conversion of auto trips to subway trips. The trip-conversion volumes in Motor Vs are multiplied by adjustment factor directly below, which is derived in Section 10 of Subways to take account of relative subway volumes, different price-elasticities, and different vehicle occupancy rates between weekdays and weekends.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":441}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Decrs in weekday cordon entries due to trips attr'd by subways",null,null,null,null,{"$f":"'Motor Vs'!G443+'Motor Vs'!G444","v":1453.9415302647039},{"$f":"'Motor Vs'!H443+'Motor Vs'!H444","v":1577.2742116539625},{"$f":"'Motor Vs'!I443+'Motor Vs'!I444","v":29010.899975737888},{"$f":"'Motor Vs'!J443+'Motor Vs'!J444","v":9888.1767566155304},{"$f":"'Motor Vs'!K443+'Motor Vs'!K444","v":13714.057851695596},{"$f":"'Motor Vs'!L443+'Motor Vs'!L444","v":20886.339329436414},null,{"$f":"SUM(G443:M443)","v":76530.689655404101},{"$f":"ROW()","v":443},{"$f":"$W$443*('Weekend Hours'!T56+SUM('Weekend Hours'!T33:T37))","v":802.27223092578481},{"$f":"$W$443*'Weekend Hours'!T38","v":115.51682729697175},{"$f":"$W$443*SUM('Weekend Hours'!T39:T41)","v":490.76001938747845},{"$f":"$W$443*'Weekend Hours'!T42","v":208.13335227382885},{"$f":"$W$443*SUM('Weekend Hours'!T43:T46)","v":1065.3165177560122},{"$f":"$W$443*SUM('Weekend Hours'!T47:T52)","v":1351.5842822116047},null,{"$f":"$N$445*($I85/($I85+$J85+$K85))","v":4730.909108503176},null,{"$f":"$AF$443*('Weekend Hours'!U56+SUM('Weekend Hours'!U33:U37))","v":1776.6834512304795},{"$f":"$AF$443*'Weekend Hours'!U38","v":206.27179959337985},{"$f":"$AF$443*SUM('Weekend Hours'!U39:U41)","v":876.32213190286348},{"$f":"$AF$443*'Weekend Hours'!U42","v":371.65183751589228},{"$f":"$AF$443*SUM('Weekend Hours'!U43:U46)","v":2810.7085149004502},{"$f":"$AF$443*SUM('Weekend Hours'!U47:U52)","v":5777.3418031849114},null,{"$f":"$N$445*($J85/($I85+$J85+$K85))","v":14186.798867980076},null,{"$f":"$AO$443*('Weekend Hours'!V56+SUM('Weekend Hours'!V33:V37))","v":1043.4177102047147},{"$f":"$AO$443*'Weekend Hours'!V38","v":146.93339125921469},{"$f":"$AO$443*SUM('Weekend Hours'!V39:V41)","v":624.22969562401147},{"$f":"$AO$443*'Weekend Hours'!V42","v":264.73839352532275},{"$f":"$AO$443*SUM('Weekend Hours'!V43:V46)","v":1286.1372621103833},{"$f":"$AO$443*SUM('Weekend Hours'!V47:V52)","v":1832.9662286333985},null,{"$f":"$N$445*($K85/($I85+$J85+$K85))","v":6047.0266800416539},null,{"$f":"CONCATENATE(\"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows \",$O370, \" and \",$O410, \".\")","v":"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows 370 and 410."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows \",$O370, \" and \",$O410, \".\")","v":"We have eliminated these entries for medallion taxis, since changes in taxi entries into the CBD due to taxi users' attraction to subways are accounted for above, in Rows 370 and 410."}]
[null,"Adjustment factor, weekdays to weekends:",null,null,null,null,{"$f":"Subways!N542","v":0.32620553622257942},null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Decrs in weekend cordon entries due to trips attr'd by subways",null,null,null,null,{"$f":"$G$444*G443","v":474.28377651627545},514.51557998262706,9463.5161828851942,3225.5780011554152,4473.6015952998378,6813.2395206855554,null,{"$f":"SUM(G445:M445)","v":24964.734656524906},{"$f":"ROW()","v":445}]
[null,"Net chng auto entries from new tolls, sub attract, exogenous event",null,null,null,null,{"$f":"P446+Y446+AH446+AQ446+AZ446+BI446","v":-2662.5915722892692},7577.3794952057078,-30942.858943393341,-13177.364468620473,-12584.086309916547,-8772.0438108371891,{"$f":"V446+AE446+AN446+AW446+BF446+BO446","v":0},{"$f":"SUM(G446:M446)","v":-60561.56560985111},{"$f":"ROW()","v":446},{"$f":"P433-P443-P444+P438","v":-802.27936945861518},-6332.3454054093963,2665.5059624715404,-1232.086621868779,1377.0029013779722,-4868.5738917181261,{"$f":"V433-V443-V444+V438","v":0},{"$f":"SUM(P446:V446)","v":-9192.776424605403},null,{"$f":"Y433-Y443-Y444+Y438","v":-1776.7025504093506},9437.084225812263,-24413.361615932441,-9462.8235928433551,-10224.663461504395,-3254.773419361472,{"$f":"AE433-AE443-AE444+AE438","v":0},{"$f":"SUM(Y446:AE446)","v":-39695.240414238753},null,{"$f":"AH433-AH443-AH444+AH438","v":-1043.4265090112374},3376.2275126629243,-8971.0892001655229,-2914.5098522910971,-3828.0002758902815,-1185.8519191977275,{"$f":"AN433-AN443-AN444+AN438","v":0},{"$f":"SUM(AH446:AN446)","v":-14566.650243892942},null,{"$f":"AQ433+AQ438","v":304.88738532744702},117.45674457995365,370.14938464738054,232.57820379120287,140.38425360093308,107.75907646582539,{"$f":"AW433+AW438","v":0},{"$f":"SUM(AQ446:AW446)","v":1273.2150484127424},null,{"$f":"AZ433+AZ438","v":-4.2155541928061673E-4},808.14190797330559,-1126.2938163075692,-196.70011854799742,-303.7162822422157,177.76308899454907,{"$f":"BF433+BF438","v":0},{"$f":"SUM(AZ446:BF446)","v":-640.80564168534693},null,{"$f":"BI433+BI438","v":654.92989281791154},170.81450958665837,532.23034189327745,396.17751313954943,254.90655474143819,251.63325397976379,0,{"$f":"SUM(BI446:BO446)","v":2260.6920661585987}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is calculated as Row \",O433, \" less Rows \",O443, \" and \",O444,\" plus Row \",O438,\".\")","v":"Each figure in above row is calculated as Row 433 less Rows 443 and 444 plus Row 438."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":447}]
[null,"Daily cordon auto entries in period after tolls and subway attraction",null,null,null,null,{"$f":"P448+Y448+AH448+AQ448+AZ448+BI448","v":124827.3110973615},54761.944833389774,117687.31802630977,81711.222815614572,45048.461620863374,36802.175996609891,null,{"$f":"SUM(G448:M448)","v":460838.43439014885},{"$f":"ROW()","v":448},{"$f":"P425+P446","v":24032.266576156508},2499.1169446153508,25858.159891431784,7511.5817709675921,10173.136424451419,532.96196777192472,null,{"$f":"SUM(P448:V448)","v":70607.223575394572},null,{"$f":"Y425+Y446","v":42568.927468644986},28202.104402477351,48289.415685427957,43930.842057101479,17348.866441535432,19264.603530574033,null,{"$f":"SUM(Y448:AE448)","v":199604.75958576126},null,{"$f":"AH425+AH446","v":30545.253179975243},14609.540816284338,17579.135874753334,11914.346734436791,6241.5383608684333,6543.534789788936,null,{"$f":"SUM(AH448:AN448)","v":87433.349756107084},null,{"$f":"AQ425+AQ446","v":7560.6041528431424},2912.6949607865231,9178.9726614359333,5767.4794631336526,3481.2518387045561,2672.2119715089339,null,{"$f":"SUM(AQ448:AW448)","v":31573.215048412741},null,{"$f":"AZ425+AZ446","v":3879.2936917698039},2302.6257067372139,3583.3740742526475,2762.5540201103418,1482.4901493973452,1548.8567160473001,null,{"$f":"SUM(AZ448:BF448)","v":15559.194358314651},null,{"$f":"BI425+BI446","v":16240.966027971806},4235.8620024889969,13198.259839008124,9824.4187698647147,6321.178405906182,6240.0070209187688,null,{"$f":"SUM(BI448:BO448)","v":56060.692066158597}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is calculated as Sum of figures in Rows \",O425, \" and \",O446, \".\")","v":"Each figure in above row is calculated as Sum of figures in Rows 425 and 446."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,"Per-hr cordon auto entries in period after tolls + subway attraction",null,null,null,null,{"$f":"G448/G135","v":12482.731109736149},27380.972416694887,23537.463605261953,27237.074271871523,22524.230810431687,18401.087998304945,null,null,{"$f":"ROW()","v":450},{"$f":"P448/P135","v":2403.2266576156508},1249.5584723076754,5171.6319782863566,2503.8605903225307,5086.5682122257094,266.48098388596236,null,null,null,{"$f":"Y448/Y135","v":4256.8927468644988},14101.052201238675,9657.8831370855914,14643.614019033826,8674.4332207677162,9632.3017652870167,null,null,null,{"$f":"AH448/AH135","v":3054.5253179975243},7304.7704081421689,3515.8271749506666,3971.4489114789303,3120.7691804342167,3271.767394894468,null,null,null,{"$f":"AQ448/AQ135","v":756.06041528431422},1456.3474803932615,1835.7945322871867,1922.4931543778841,1740.6259193522781,1336.1059857544669,null,null,null,{"$f":"AZ448/AZ135","v":387.9293691769804},1151.312853368607,716.67481485052951,920.85134003678058,741.24507469867262,774.42835802365005,null,null,null,{"$f":"BI448/BI135","v":1624.0966027971806},2117.9310012444985,2639.6519678016248,3274.8062566215717,3160.589202953091,3120.0035104593844]
[null,"Daily entries in period after tolls, \"1st Round,\" % of pre-tolls entries",null,null,null,null,{"$f":"G448/G425","v":0.9791152748842511},1.1605902150607228,0.79181307878210505,0.86112803609196753,0.78164966218341125,0.80752179965121884,null,{"$f":"N448/N425","v":0.88384816722314696},{"$f":"ROW()","v":451},{"$f":"P448/P425","v":0.96769502566241727},0.28297883697690768,1.1149288895801257,0.85908813480641388,1.1565463845865809,9.8668597531488142E-2,null,{"$f":"W448/W425","v":0.88480230044354136},null,{"$f":"Y448/Y425","v":0.95993511537335385},1.5029082909032832,0.6642031773458037,0.82277254281654411,0.62918554506954216,0.85546787432896576,null,{"$f":"AF448/AF425","v":0.83411934636757734},null,{"$f":"AH448/AH425","v":0.96696834058008974},1.3005549138894301,0.66210873260580294,0.80345687239974795,0.61984352868797599,0.84657878252889296,null,{"$f":"AO448/AO425","v":0.85718970349124579},null,{"$f":"AQ448/AQ425","v":1.0420202986274834},1.0420202986274831,1.0420202986274831,1.0420202986274834,1.0420202986274831,1.0420202986274831,null,{"$f":"AX448/AX425","v":1.0420202986274831},null,{"$f":"AZ448/AZ425","v":0.99999989133192602},1.5407498620203992,0.76085493871764365,0.93353050825260409,0.82996574367754672,1.1296505836561006,null,{"$f":"BG448/BG425","v":0.96044409619226245},null,{"$f":"BI448/BI425","v":1.0420202986274834},1.0420202986274831,1.0420202986274831,1.0420202986274834,1.0420202986274834,1.0420202986274834,null,{"$f":"BP448/BP425","v":1.0420202986274834}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"4. Changes in cordon VMT from changes in vehicle entries due to tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453}]
[null,"Changes in cordon inbound VMT in period",null,null,null,null,{"$f":"P454+Y454+AH454+AQ454+AZ454+BI454","v":-3889.5447075327806},11028.446491542269,-45517.179495073447,-19474.595717701599,-18493.329437285793,-13039.480524336012,null,{"$f":"SUM(G454:M454)","v":-89385.683390387363},{"$f":"ROW()","v":454},{"$f":"P446*$I$99","v":-1203.4190541879227},-9498.5181081140945,3998.2589437073107,-1848.1299328031687,2065.5043520669583,-7302.8608375771892,null,{"$f":"SUM(P454:V454)","v":-13789.164636908106},null,{"$f":"Y446*$J$99","v":-2665.0538256140258},14155.626338718394,-36620.04242389866,-14194.235389265032,-15336.995192256592,-4882.1601290422077,null,{"$f":"SUM(Y454:AE454)","v":-59542.860621358137},null,{"$f":"AH446*$K$99","v":-1460.7971126157324},4726.7185177280944,-12559.524880231733,-4080.3137932075365,-5359.2003862463944,-1660.1926868768187,null,{"$f":"SUM(AH454:AN454)","v":-20393.310341450124},null,{"$f":"AQ446*$L$99","v":457.33107799117056},176.18511686993048,555.22407697107087,348.86730568680429,210.5763804013996,161.63861469873808,null,{"$f":"SUM(AQ454:AW454)","v":1909.8225726191138},null,{"$f":"AZ446*$L$99","v":-6.3233312892092505E-4},1212.2128619599584,-1689.4407244613537,-295.05017782199616,-455.57442336332355,266.64463349182358,null,{"$f":"SUM(AZ454:BF454)","v":-961.2084625280205},null,{"$f":"BI446*$L$99","v":982.39483922686736},256.22176437998758,798.34551283991618,594.26626970932421,382.35983211215728,377.44988096964568,null,{"$f":"SUM(BI454:BO454)","v":3391.0380992378982}]
[null,{"$f":"CONCATENATE(\"Calculated as product of each period's changes in daily cordon entries in Row \",O446, \" and each trip type's per-entry CBD miles in Row \",O96,\".\")","v":"Calculated as product of each period's changes in daily cordon entries in Row 446 and each trip type's per-entry CBD miles in Row 96."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,"Changes in cordon outbound VMT in period",null,null,null,null,{"$f":"P456+Y456+AH456+AQ456+AZ456+BI456","v":-19914.876488259375},-1783.2644153818642,-32322.927875659123,-16588.893263667833,-12539.535997964515,-7717.4008760734368,null,{"$f":"SUM(G456:M456)","v":-90866.898917006154},{"$f":"ROW()","v":456},{"$f":"$W$454*P158","v":-3685.6699234315797},-1266.3896883855734,-3827.1790237752821,-2423.0292245760766,-1398.5416538777333,-1188.3551228618605,null,{"$f":"SUM(P456:V456)","v":-13789.164636908105},null,{"$f":"$AF$454*Y158","v":-15915.056228991834},-5468.3852643284581,-16526.105328794889,-10462.859440683338,-6039.0294091577107,-5131.4249494019032,null,{"$f":"SUM(Y456:AE456)","v":-59542.86062135813},null,{"$f":"AH454","v":-1460.7971126157324},4726.7185177280944,-12559.524880231733,-4080.3137932075365,-5359.2003862463944,-1660.1926868768187,null,{"$f":"AO454","v":-20393.310341450124},null,{"$f":"$AX$454*AQ158","v":701.7828423804865},156.5344517376808,428.33225674633007,273.10627583486183,177.36216044868161,172.70458547107307,null,{"$f":"SUM(AQ456:AW456)","v":1909.822572619114},null,{"$f":"$BG$454*AZ158","v":-256.91890798120181},-88.276883871290025,-266.78315634988274,-168.90335687060616,-97.488869580038326,-82.837287875001394,null,{"$f":"SUM(AZ456:BF456)","v":-961.20846252802039},null,{"$f":"$AX$454*BI158","v":701.7828423804865},156.5344517376808,428.33225674633007,273.10627583486183,177.36216044868161,172.70458547107307,null,{"$f":"SUM(BI456:BO456)","v":1909.822572619114}]
[null,"Calculated, for each trip type, as product of two quantities:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",O454,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 454, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,null,null,null,"Fare trips assoc'd w/ ea. cordon-crossing trip:",{"$f":"Taxis!$L$246","v":9.2821782178217873},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O268, \")\")","v":"(Taxi worksheet, Row 268)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fare trips assoc'd w/ ea. cordon-crossing trip:",{"$f":"Taxis!$L$246","v":9.2821782178217873},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O268, \")\")","v":"(Taxi worksheet, Row 268)"}]
[null,{"$f":"CONCATENATE(\"(i) total change in each trip type's cordon VMT due to change in number of inbound entries, shown in Row \",O454, \", and\")","v":"(i) total change in each trip type's cordon VMT due to change in number of inbound entries, shown in Row 454, and"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Miles driven w/i cordon, per fare trip:",{"$f":"Taxis!$L$224","v":2.473907692307693},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O150, \")\")","v":"(Taxi worksheet, Row 150)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Miles driven w/i cordon, per fare trip:",{"$f":"Taxis!$L$224","v":2.473907692307693},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O150, \")\")","v":"(Taxi worksheet, Row 150)"}]
[null,{"$f":"CONCATENATE(\"(ii) each period's share of 24-h traffic volume for that trip type, shown in row \",O158, \".\")","v":"(ii) each period's share of 24-h traffic volume for that trip type, shown in row 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":459},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows \",$O454,\" and \",$O456, \" (to reflect in-cordon taxi driving).\")","v":"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows 454 and 456 (to reflect in-cordon taxi driving)."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows \",$O454,\" and \",$O456, \" (to reflect in-cordon taxi driving).\")","v":"Shown directly below: Addit'l change to in-cordon VMT beyond entries in Rows 454 and 456 (to reflect in-cordon taxi driving)."}]
[null,"Premise: each inbound trip eliminated (or added) has corresponding outbound trip elim'd (or added); since precise time of the corresp. trip can't be known, a reasonable approach is to assume outbound trips follow same distribution as all traffic. To extent that outbound trips fall in same time period as inbound, that could indicate trips that pass through cordon en route elsewhere.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":460},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Taxis!$M$145*Taxis!Q$289","v":-8974.061692237934},{"$f":"Taxis!$M$145*Taxis!R$289","v":-2232.4073093943812},{"$f":"Taxis!$M$145*Taxis!S$289","v":-6686.134626858412},{"$f":"Taxis!$M$145*Taxis!T$289","v":-4530.2864575329631},{"$f":"Taxis!$M$145*Taxis!U$289","v":-2865.9954952673493},{"$f":"Taxis!$M$145*Taxis!V$289","v":-2717.4483618872564},null,{"$f":"SUM(AQ460:AW460)","v":-28006.333943178295},null,null,null,null,null,null,null,null,null,null,{"$f":"UberLyft!Q418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":3907.6160228019376},{"$f":"UberLyft!R418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":1019.1587250903792},{"$f":"UberLyft!S418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":3175.5334954328491},{"$f":"UberLyft!T418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":2363.7791085653575},{"$f":"UberLyft!U418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":1520.8909358819258},{"$f":"UberLyft!V418/SUM(UberLyft!$Q$418:$V$418)*UberLyft!$M$289","v":1501.3609027531361},null,{"$f":"SUM(BI460:BO460)","v":13488.339190525585}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'Taxis' tab, Row \",Taxis!O145, \", by period's share of pk/off-pk in same tab, Row \",Taxis!O289, \".\")","v":"Above figs multiplied VMT chng for wkdy pk or off-pk periods in 'Taxis' tab, Row 145, by period's share of pk/off-pk in same tab, Row 289."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Above figs multiply VMT change for weekend periods in 'UberLyft' tab, Row \",UberLyft!O289, \", by period's share of weekend rides in same tab, Row \",UberLyft!O418, \".\")","v":"Above figs multiply VMT change for weekend periods in 'UberLyft' tab, Row 289, by period's share of weekend rides in same tab, Row 418."}]
[null,"Total chng in cordon VMT after tolls",null,null,{"$f":"CONCATENATE(\"Exceeds sum of Rows \",O454, \" and \",O456, \" due to Taxis.\")","v":"Exceeds sum of Rows 454 and 456 due to Taxis."},null,{"$f":"P462+Y462+AH462+AQ462+AZ462+BI462","v":-28870.86686522801},8031.9334918564364,-81350.708502158028,-38229.996330336966,-32377.969994635678,-21972.968859543515,null,{"$f":"SUM(G462:M462)","v":-194770.57706004573},{"$f":"ROW()","v":462},{"$f":"P454+P456","v":-4889.0889776195027},-10764.907796499669,171.07991993202859,-4271.1591573792448,666.96269818922497,-8491.215960439049,null,{"$f":"W454+W456","v":-27578.329273816213},null,{"$f":"Y454+Y456","v":-18580.110054605859},8687.2410743899345,-53146.147752693549,-24657.094829948372,-21376.024601414305,-10013.58507844411,null,{"$f":"AF454+AF456","v":-119085.72124271627},null,{"$f":"AH454+AH456","v":-2921.5942252314649},9453.4370354561888,-25119.049760463466,-8160.627586415073,-10718.400772492789,-3320.3853737536374,null,{"$f":"AO454+AO456","v":-40786.620682900248},null,{"$f":"AQ454+AQ456+AQ460","v":-7814.9477718662765},-1899.6877407867698,-5702.5782931410113,-3908.3128760112968,-2478.0569544172681,-2383.1051617174453,null,{"$f":"AX454+AX456+AX460","v":-24186.688797940067},null,{"$f":"AZ454+AZ456","v":-256.91954031433073},1123.9359780886684,-1956.2238808112365,-463.95353469260232,-553.06329294336183,183.8073456168222,null,{"$f":"BG454+BG456","v":-1922.4169250560408},null,{"$f":"BI454+BI456+BI460","v":5591.7937044092914},1431.9149412080476,4402.2112650190957,3231.1516541095434,2080.6129284427648,2051.5153691938549,null,{"$f":"BP454+BP456+BP460","v":18789.199862382597}]
[null,"Cordon VMT in period after new tolls",null,null,null,null,{"$f":"G164+G462","v":925458.83200490649},274604.45301052229,694489.67696573399,456635.1887448043,268067.09892867727,249905.22004474094,null,{"$f":"SUM(G463:M463)","v":2869160.4696993856},{"$f":"ROW()","v":463},{"$f":"P164+P462","v":76828.888605750515},16566.992294581803,76098.456215842627,35055.680139942669,28412.478596888883,13059.174873177277,null,{"$f":"SUM(P463:V463)","v":246021.6707261838},null,{"$f":"Y164+Y462","v":181281.08896547812},79071.241029292491,179271.65253281977,134034.56748256937,63619.982364067924,64092.8892401989,null,{"$f":"SUM(Y463:AE463)","v":701371.42161442654},null,{"$f":"AH164+AH462","v":83444.578718535224},38235.83277332432,49804.620047899814,36700.068721345968,16600.349665676353,20027.929390318121,null,{"$f":"SUM(AH463:AN463)","v":244813.37931709981},null,{"$f":"AQ164+AQ462","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ463:AW463)","v":565786.23283284309},null,{"$f":"AZ164+AZ462","v":30919.482452769247},11836.09274340336,30417.177488138121,20032.003703941464,11276.942570622567,10235.884116069203,null,{"$f":"SUM(AZ463:BF463)","v":114717.58307494395},null,{"$f":"BI164+BI462","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI463:BO463)","v":996450.18213388755}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"5. Changes in cordon VMT due to changes in taxi usage resulting from changes in taxi fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":465}]
[null,"Increase in auto trips from changed taxi fare ",null,null,null,null,null,null,null,null,null,null,"(sum of work and non-work trips in next two column blocks; figure here is for display only, calc's are done further to right)",{"$f":"W466+AF466","v":-2878.7169274570083},{"$f":"ROW()","v":466},null,null,null,null,null,null,{"$f":"CONCATENATE(\"(from 'Taxis' worksheet, Row \",Taxis!O670, \")\")","v":"(from 'Taxis' worksheet, Row 670)"},{"$f":"Taxis!K670","v":-674.2281385935654},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(from 'Taxis' worksheet, Row \",Taxis!O670, \")\")","v":"(from 'Taxis' worksheet, Row 670)"},{"$f":"Taxis!L670","v":-2204.4887888634535}]
[null,"Now assign to different 24-hour time bins, prorated by respective work and non-work trip distributions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467},{"$f":"P139/$W$139*$W$466","v":-209.82643716451713},-74.616797259603288,-195.9541339294187,-73.875028383226308,-74.318304913311678,-45.637436943488382,0,{"$f":"SUM(P467:V467)","v":-674.22813859356552},null,{"$f":"Y139/$AF$139*$AF$466","v":-408.52254163013743},-172.86785040641323,-669.75535929830914,-491.87520819735511,-254.01394709838064,-207.45388223285786,0,{"$f":"SUM(Y467:AE467)","v":-2204.4887888634535}]
[null,"New auto trips from tolled-off taxi trips that stayed in CBD (didn't breach cordon)",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(algebra on a parameter in Row \",Taxis!O246,\" of Taxi worksheet)\")","v":"(algebra on a parameter in Row 246 of Taxi worksheet)"},{"$f":"Taxis!L246/(1+Taxis!L246)","v":0.90274434280211846},{"$f":"ROW()","v":468},{"$f":"$N$468*P467","v":-189.41962912059202},-67.359891604119483,-176.89648585347138,-66.690263947303478,-67.090429327134999,-41.198938020722544,0,-608.65563787334384,null,{"$f":"$N$468*Y467","v":-368.79141336374948},-156.05547400675243,-604.61786166794877,-444.03756156477652,-229.30965373589973,-187.27781857804936,0,-1990.0897829171763,null,null,"Through-trips are assumed unaffected by changes in taxi ridership.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Truck trips are assumed unaffected by changes in taxi ridership."]
[null,"Additional in-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O458,\" of taxi block)\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 458 of taxi block)"},null,{"$f":"ROW()","v":469},{"$f":"P468*$AU$458","v":-468.60667755550287},-166.64215399244358,-437.62557709510185,-164.98555698126449,-165.97552919262492,-101.92236968437338,0,-1505.7578645013109,null,{"$f":"Y468*$AU$458","v":-912.35591437760604},-386.06683757202808,-1495.7687788869671,-1098.5079392286514,-567.29091629765583,-463.30803597884091,0,-4923.2984223417498,null,null,null,null,null,null,null,null,null,null,{"$f":"$AX$364*AQ164","v":0},0,0,0,0,0,null,{"$f":"SUM(AQ469:AW469)","v":0},null,null,null,null,null,null,null,null,null,null,{"$f":"$AX$364*BI164","v":0},0,0,0,0,0,null,{"$f":"SUM(BI469:BO469)","v":0}]
[null,"New auto trips from tolled-off taxi trips that originated outside CBD ",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(complement of percentage in Row \",O468,\")\")","v":"(complement of percentage in Row 468)"},{"$f":"1-N468","v":9.725565719788154E-2},{"$f":"ROW()","v":470},{"$f":"$N$470*P467","v":-20.40680804392511},-7.2569056554838038,-19.057648075947313,-7.1847644359228271,-7.2278755861766761,-4.4384989227658407,0,-65.572500720221583,null,{"$f":"$N$470*Y467","v":-39.731128266387934},-16.812376399660792,-65.137497630360343,-47.837646632578583,-24.704293362480925,-20.176063654808512,0,-214.3990059462771,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are products of % change in number of medallion taxis from Cell AX\",$O364, \" and taxis' baseline cordon VMT for period in Row \",$O164, \".\")","v":"Figures are products of % change in number of medallion taxis from Cell AX364 and taxis' baseline cordon VMT for period in Row 164."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are products of % change in number of medallion taxis from Cell AX\",$O364, \" and taxis' baseline cordon VMT for period in Row \",$O164, \".\")","v":"Figures are products of % change in number of medallion taxis from Cell AX364 and taxis' baseline cordon VMT for period in Row 164."}]
[null,"Additional in-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O461,\")\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 461)"},null,{"$f":"ROW()","v":471},{"$f":"P470*$AU$458","v":-50.484559395312836},-17.952914723452583,-47.14686217237896,-17.774444005448224,-17.881097011685455,-10.980436627329823,0,-162.22031393560789,null,{"$f":"Y470*$AU$458","v":-98.291143842280732},-41.592267301093152,-161.14415644542257,-118.34592198623336,-61.116141382467447,-49.913719076120444,0,-530.4033500336177]
[null,{"$f":"CONCATENATE(\"Cordon VMT in period after tolls (sum of Rows \",O463, \", \",O469, \" and \",O471,\")\")","v":"Cordon VMT in period after tolls (sum of Rows 463, 469 and 471)"},null,null,null,null,{"$f":"P472+Y472+AH472+AQ472+AZ472+BI472","v":923929.0937097359},273992.19883693336,692347.99159113423,455235.57488260267,267254.83524479286,249279.09548337426,0,{"$f":"SUM(G472:M472)","v":2862038.7897485737},{"$f":"ROW()","v":472},{"$f":"P463+P469+P471","v":76309.7973687997},16382.397225865905,75613.683776575155,34872.92013895596,28228.62197068457,12946.272066865575,0,244353.69254774685,null,{"$f":"Y463+Y469+Y471","v":180270.44190725824},78643.58192441937,177614.73959748738,132817.71362135449,62991.5753063878,63579.667485143938,0,695917.71984205139,null,{"$f":"AH463+AH469+AH471","v":83444.578718535224},38235.83277332432,49804.620047899814,36700.068721345968,16600.349665676353,20027.929390318121,{"$f":"AN463+AN469+AN471","v":0},{"$f":"SUM(AH472:AN472)","v":244813.37931709981},null,{"$f":"AQ463+AQ469","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ472:AW472)","v":565786.23283284309},null,{"$f":"AZ463+AZ469+AZ471","v":30919.482452769247},11836.09274340336,30417.177488138121,20032.003703941464,11276.942570622567,10235.884116069203,{"$f":"BF463+BF469+BF471","v":0},{"$f":"SUM(AZ472:BF472)","v":114717.58307494395},null,{"$f":"BI463+BI469","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI472:BO472)","v":996450.18213388755}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are sums of Rows \",$O463, \" and \",$O469, \".\")","v":"Figures are sums of Rows 463 and 469."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures are sums of Rows \",$O463, \" and \",$O469, \".\")","v":"Figures are sums of Rows 463 and 469."}]
[null,"6. Cordon speeds after the tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,"Hourly traffic after tolls (includes pre-existing intra-CBD traffic)",null,null,null,null,{"$f":"G472/G135","v":92392.90937097359},136996.09941846668,138469.59831822684,151745.19162753422,133627.41762239643,124639.54774168713,null,null,{"$f":"ROW()","v":475}]
[null,{"$f":"CONCATENATE(\"Calculated as Cordon VMT in period, in Row \",O463, \" divided by number of hours in period, in Row \",O135, \".\")","v":"Calculated as Cordon VMT in period, in Row 463 divided by number of hours in period, in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,"Hourly cordon traffic after tolls as % of same before tolls",null,null,null,null,{"$f":"G475/G166","v":0.96814454669451122},1.0278336241547508,0.89238457363056001,0.91991837092657636,0.88952977728187743,0.91687787272679577,null,{"$f":"N472/N164","v":0.93410678832854643},{"$f":"ROW()","v":477},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,{"$f":"CONCATENATE(\"Ratio of post-toll hourly VMT in period, in Row \",O474, \" to pre-toll hourly VMT, in Row \",O166, \".\")","v":"Ratio of post-toll hourly VMT in period, in Row 474 to pre-toll hourly VMT, in Row 166."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,"% of cordon road capacity to be removed from m.v. service",null,null,null,null,{"$f":"'Policy Levers'!K185*Cordon!F296","v":0},null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,{"$f":"CONCATENATE(\"Cell in box in above row is based on number specified in 'Policy Levers' tab, Cell K\",'Policy Levers'!O185, \" and draws on acreages est'd in Cordon worksheet.\")","v":"Cell in box in above row is based on number specified in 'Policy Levers' tab, Cell K185 and draws on acreages est'd in Cordon worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":480},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,"Equivalent magnification of cordon traffic volume",null,null,null,null,{"$f":"1/(1-G479)","v":1},null,null,null,null,null,null,null,{"$f":"ROW()","v":481},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,{"$f":"CONCATENATE(\"Calculated as reciprocal of the complement of the traffic capacity being removed from service (see Row \", O479, \").\")","v":"Calculated as reciprocal of the complement of the traffic capacity being removed from service (see Row 479)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,"Cordon speed (reflects new tolls + capacity removal two rows above)",null,null,null,null,{"$f":"KSC/(1+0.1*(G475*$G$481/V_sub_k)^KSE)","v":17.9927023916817},10.594505392252371,10.359682778906613,8.3952087515148008,11.142047500959681,12.661102463131616,null,null,{"$f":"ROW()","v":483},{"$f":"G483","v":17.9927023916817},10.594505392252371,10.359682778906613,8.3952087515148008,11.142047500959681,12.661102463131616,null,null,null,{"$f":"P483","v":17.9927023916817},10.594505392252371,10.359682778906613,8.3952087515148008,11.142047500959681,12.661102463131616,null,null,null,{"$f":"Y483","v":17.9927023916817},10.594505392252371,10.359682778906613,8.3952087515148008,11.142047500959681,12.661102463131616,null,null,null,{"$f":"$AU$198*G483","v":17.093067272097613},10.064780122639752,9.8416986399612814,7.9754483139390606,10.584945125911696,12.028047339975036,null,null,null,{"$f":"G483","v":17.9927023916817},10.594505392252371,10.359682778906613,8.3952087515148008,11.142047500959681,12.661102463131616,null,null,null,{"$f":"$AU$198*Y483","v":17.093067272097613},{"$f":"$AU$198*Z483","v":10.064780122639752},{"$f":"$AU$198*AA483","v":9.8416986399612814},{"$f":"$AU$198*AB483","v":7.9754483139390606},{"$f":"$AU$198*AC483","v":10.584945125911696},{"$f":"$AU$198*AD483","v":12.028047339975036}]
[null,{"$f":"CONCATENATE(\"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row \",O194, \".\")","v":"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Non-cordon miles per fare trip:",{"$f":"Taxis!$L$226","v":1.66},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O149, \")\")","v":"(Taxi worksheet, Row 149)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Non-cordon miles per fare trip:",{"$f":"Taxis!$L$226","v":1.66},{"$f":"CONCATENATE(\"(Taxi worksheet, Row \",$O149, \")\")","v":"(Taxi worksheet, Row 149)"}]
[null,"7. Changes in non-cordon VMT from changes in vehicle entries due to tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Changes in non-cordon inbound VMT in period",null,null,null,null,{"$f":"P487+Y487+AH487+AQ487+AZ487+BI487","v":-64098.186635543476},152169.52673967872,-605772.40828440303,-253304.58180734262,-248350.71759873489,-161961.73583207486,{"$f":"V487+AE487+AN487+AW487+BF487+BO487","v":0},{"$f":"SUM(G487:M487)","v":-1181318.1034184201},{"$f":"ROW()","v":487},{"$f":"P446*$I$93","v":-13523.95062553475},-106743.77263917177,44932.19245168825,-20769.172528740688,23212.013119595016,-82069.108885093825,null,{"$f":"SUM(P487:V487)","v":-154961.79910725777},null,{"$f":"Y446*$J$93","v":-29949.713881103591},159080.07357215407,-411533.82433352829,-159513.95974960359,-172356.22537496596,-54865.420570954935,null,{"$f":"SUM(Y487:AE487)","v":-669139.07033800229},null,{"$f":"AH446*$K$93","v":-26383.419155034087},85369.14182269905,-226837.25648244715,-73694.442685128655,-96792.380615386239,-29984.697503653621,null,{"$f":"SUM(AH487:AN487)","v":-368323.05461895076},null,{"$f":"AQ446*$L$93","v":1829.3243119646822},704.74046747972193,2220.8963078842835,1395.4692227472171,842.30552160559841,646.55445879495232,null,{"$f":"SUM(AQ487:AW487)","v":7639.2902904764551},null,{"$f":"AZ446*$M$93","v":-6.6427431604758006E-3},12734.456458997714,-17747.798279359715,-3099.5411454542491,-4785.8695780319713,2801.137144953997,null,{"$f":"SUM(AZ487:BF487)","v":-10097.622041637385},null,{"$f":"BI446*$L$93","v":3929.5793569074694},1024.8870575199503,3193.3820513596647,2377.0650788372968,1529.4393284486291,1509.7995238785827,null,{"$f":"SUM(BI487:BO487)","v":13564.152396951593}]
[null,{"$f":"CONCATENATE(\"Calculated as product of each period's changes in daily cordon entries in Row \",O446, \" and each trip type's per-entry non-CBD miles in Row \",O96,\".\")","v":"Calculated as product of each period's changes in daily cordon entries in Row 446 and each trip type's per-entry non-CBD miles in Row 96."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Changes in non-cordon outbound VMT in period",null,null,null,null,{"$f":"P489+Y489+AH489+AQ489+AZ489+BI489","v":-243739.89983693862},10009.063062486315,-454942.17067022383,-218094.78289381746,-179980.59106214522,-100494.58412425627,0,{"$f":"SUM(G489:M489)","v":-1187242.9655248951},{"$f":"ROW()","v":489},{"$f":"$W$487*P158","v":-41419.335927120439},-14231.610808231719,-43009.60664740872,-27229.856036729747,-15716.726612376409,-13354.663075390727,null,{"$f":"SUM(P489:V489)","v":-154961.79910725777},null,{"$f":"$AF487*Y158","v":-178852.44038182258},-61453.38322408792,-185719.37324843777,-117580.98227320856,-67866.247647801953,-57666.643562643476,null,{"$f":"SUM(Y489:AE489)","v":-669139.07033800229},null,{"$f":"AH487","v":-26383.419155034087},85369.14182269905,-226837.25648244715,-73694.442685128655,-96792.380615386239,-29984.697503653621,null,{"$f":"SUM(AH489:AN489)","v":-368323.05461895076},null,{"$f":"$AX487*AQ158","v":2807.131369521946},626.13780695072319,1713.3290269853203,1092.4251033394473,709.44864179472643,690.81834188429229,null,{"$f":"SUM(AQ489:AW489)","v":7639.290290476456},null,{"$f":"$BG487*AZ158","v":-2698.9671120053881},-927.36034179455305,-2802.592345900865,-1774.3521054294295,-1024.1334701701201,-870.21666633702944,null,{"$f":"SUM(AZ489:BF489)","v":-10097.622041637385},null,{"$f":"$AX487*BI158","v":2807.131369521946},626.13780695072319,1713.3290269853203,1092.4251033394473,709.44864179472643,690.81834188429229,null,{"$f":"SUM(BI489:BO489)","v":7639.290290476456}]
[null,"Calculated, for each trip type, as product of two quantities:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":490},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",O487,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 487, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O491, \" is additional change to non-cordon VMT beyond entries in Rows \",O487,\" and \",O489,\". It's product of Rows \",O446, \", \",O457, \" and \",O485,\".\")","v":"Row 491 is additional change to non-cordon VMT beyond entries in Rows 487 and 489. It's product of Rows 446, 457 and 485."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",AG491, \" is additional change to non-cordon VMT beyond entries in Rows \",AG487,\" and \",AG489,\". It's product of Rows \",AG446, \", \",AG457, \" and \",AG485,\".\")","v":"Row  is additional change to non-cordon VMT beyond entries in Rows  and . It's product of Rows ,  and ."}]
[null,{"$f":"CONCATENATE(\"(i) total change in each trip type's non-cordon VMT due to change in number of inbound entries, shown in Row \",O487, \", and\")","v":"(i) total change in each trip type's non-cordon VMT due to change in number of inbound entries, shown in Row 487, and"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AQ446*$AU$457*$AU$485","v":4697.8316179786107},1809.8223638866632,5703.4156421533298,3583.6616797035608,2163.0989570935863,1660.3966608905034,null,{"$f":"SUM(AQ491:AW491)","v":19618.226921706253},null,null,null,null,null,null,null,null,null,null,{"$f":"BI446*$AU$457*$AU$485","v":10091.432135622528},2631.9809954874972,8200.8264314001317,6104.4678695388529,3927.7061962016178,3877.2698168911643,null,{"$f":"SUM(BI491:BO491)","v":34833.683445141796}]
[null,{"$f":"CONCATENATE(\"(ii) each period's share of 24-h traffic volume for that trip type, shown in row \",O158, \".\")","v":"(ii) each period's share of 24-h traffic volume for that trip type, shown in row 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":492},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O493,\" is sum of Rows \",$O487,\", \",$O489,\" and \",$O491,\".\")","v":"Row 493 is sum of Rows 487, 489 and 491."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O493,\" is sum of Rows \",$O487,\", \",$O489,\" and \",$O491,\".\")","v":"Row 493 is sum of Rows 487, 489 and 491."}]
[null,"Total chng in non-cordon VMT after tolls",null,null,null,null,{"$f":"P493+Y493+AH493+AQ493+AZ493+BI493","v":-293048.82271888101},166620.39316153916,-1046810.3368810734,-461711.23515191767,-422240.50350758492,-256918.65347854953,0,{"$f":"SUM(G493:M493)","v":-2314109.1585764671},{"$f":"ROW()","v":493},{"$f":"P487+P489","v":-54943.28655265519},-120975.3834474035,1922.5858042795298,-47999.028565470435,7495.2865072186069,-95423.771960484548,null,{"$f":"SUM(P493:V493)","v":-309923.59821451554},null,{"$f":"Y487+Y489","v":-208802.15426292617},97626.690348066157,-597253.19758196606,-277094.94202281215,-240222.47302276792,-112532.06413359841,null,{"$f":"SUM(Y493:AE493)","v":-1338278.1406760048},null,{"$f":"AH487+AH489","v":-52766.838310068175},170738.2836453981,-453674.5129648943,-147388.88537025731,-193584.76123077248,-59969.395007307241,null,{"$f":"SUM(AH493:AN493)","v":-736646.10923790152},null,{"$f":"AQ487+AQ489+AQ491","v":9334.2872994652389},3140.7006383171083,9637.6409770229329,6071.5560057902258,3714.8531204939109,2997.7694615697483,null,{"$f":"SUM(AQ493:AW493)","v":34896.807502659169},null,{"$f":"AZ487+AZ489","v":-2698.9737547485488},11807.096117203162,-20550.390625260581,-4873.8932508836788,-5810.0030482020911,1930.9204786169676,null,{"$f":"SUM(AZ493:BF493)","v":-20195.244083274771},null,{"$f":"BI487+BI489+BI491","v":16828.142862051944},4283.0058599581707,13107.537509745118,9573.9580517155973,6166.5941664449729,6077.88768265404,null,{"$f":"SUM(BI493:BO493)","v":56037.126132569843}]
[null,"New inbound + outbound non-cordon VMT in period (with toll)",null,null,null,null,{"$f":"G184+G493","v":13060829.641918991},4731458.048754246,12542560.642451743,8107092.3966816952,4552261.2148760678,3977590.1797084347,0,{"$f":"SUM(G494:M494)","v":46971792.124391183},{"$f":"ROW()","v":494},{"$f":"P184+P493","v":2337043.9299527146},676312.17457154533,2191495.5970822941,1050071.2368930094,807612.33858369093,517695.34966683097,null,{"$f":"SUM(P494:V494)","v":7580230.6267500855},null,{"$f":"Y184+Y493","v":5474777.4095833078},2106920.2296717325,6124640.5044244146,4359123.4888929743,2218260.26716671,2038575.2231691796,null,{"$f":"SUM(Y494:AE494)","v":22322297.122908317},null,{"$f":"AH184+AH493","v":4521900.3498363076},1695292.1325695612,3514903.0238792943,2228804.8076180262,1253442.3211435149,1176750.5592189559,null,{"$f":"SUM(AH494:AN494)","v":14391093.194265662},null,{"$f":"AQ184+AQ493","v":105109.74863067242},40037.845092243828,125914.10823063183,79132.252629110561,47814.305243861738,36848.547676138784,null,{"$f":"SUM(AQ494:AW494)","v":434856.80750265915},null,{"$f":"AZ184+AZ493","v":397513.78452745517},149319.49434548672,395028.29801618075,258233.55519450142,146052.27016096126,130969.84458729703,null,{"$f":"SUM(AZ494:BF494)","v":1477117.2468318823},null,{"$f":"BI184+BI493","v":224484.41938852996},63576.172503676396,190579.1108189284,131727.0554540731,79079.712577330472,76750.655390031461,null,{"$f":"SUM(BI494:BO494)","v":766197.12613256974}]
[null,{"$f":"CONCATENATE(\"Sum of baseline non-cordon VMT in period in Row \",O184, \" and VMT change in Row \",O493, \" directly above.\")","v":"Sum of baseline non-cordon VMT in period in Row 184 and VMT change in Row 493 directly above."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":495}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"8. Changes in non-cordon VMT due to changes in taxi usage resulting from changes in taxi fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":497}]
[null,"New auto trips from tolled-off taxi trips that stayed in CBD (didn't breach cordon)",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(reproduces values from Row \",O468,\")\")","v":"(reproduces values from Row 468)"},{"$f":"N468","v":0.90274434280211846},{"$f":"ROW()","v":498},{"$f":"P468","v":-189.41962912059202},-67.359891604119483,-176.89648585347138,-66.690263947303478,-67.090429327134999,-41.198938020722544,0,{"$f":"SUM(P498:V498)","v":-608.65563787334384},null,{"$f":"Y468","v":-368.79141336374948},-156.05547400675243,-604.61786166794877,-444.03756156477652,-229.30965373589973,-187.27781857804936,0,{"$f":"SUM(Y498:AE498)","v":-1990.0897829171763}]
[null,"Additional non-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip in-cordon miles shown in Row \",O485,\" of taxi block)\")","v":"(product of number of trips and per-trip in-cordon miles shown in Row 485 of taxi block)"},null,{"$f":"ROW()","v":499},{"$f":"P498*$AU$485","v":-314.43658434018272},-111.81742006283834,-293.64816651676244,-110.70583815252377,-111.3701126830441,-68.390237114399426,0,{"$f":"SUM(P499:V499)","v":-1010.3683588697506},null,{"$f":"Y498*$AU$485","v":-612.19374618382415},-259.05208685120903,-1003.6656503687949,-737.10235219752894,-380.65402520159353,-310.88117883956193,0,{"$f":"SUM(Y499:AE499)","v":-3303.5490396425125},null,null,null,null,null,null,null,null,null,null,{"$f":"(AQ175/$AX$175)*$AX$499","v":1983.7660581375078},764.23858254020945,2408.3967426705308,1513.2825060900987,913.41764465395431,701.14018695644779,null,{"$f":"Taxis!$N431","v":8284.2417210487492},null,null,null,null,null,null,null,null,null,null,{"$f":"(BI175/$AX$175)*$AX$499","v":4301.1170858042942},1228.1201242198883,3675.9111208823329,2530.1174763874928,1510.2257664547087,1463.8221091695239,null,{"$f":"Taxis!$N431","v":8284.2417210487492}]
[null,"New auto trips from tolled-off taxi trips that originated outside CBD ",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(complement of percentage in Row \",O498,\")\")","v":"(complement of percentage in Row 498)"},{"$f":"1-N498","v":9.725565719788154E-2},{"$f":"ROW()","v":500},{"$f":"P470","v":-20.40680804392511},-7.2569056554838038,-19.057648075947313,-7.1847644359228271,-7.2278755861766761,-4.4384989227658407,0,{"$f":"SUM(P500:V500)","v":-65.572500720221583},null,{"$f":"Y470","v":-39.731128266387934},-16.812376399660792,-65.137497630360343,-47.837646632578583,-24.704293362480925,-20.176063654808512,0,{"$f":"SUM(Y500:AE500)","v":-214.3990059462771},null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs. in Row \",$O499, \" start w/ last column, taken from 'Taxi' wksht, Row \",Taxis!O431, \". Other columns are prorated from figures in Row \",$O175, \".\")","v":"Figs. in Row 499 start w/ last column, taken from 'Taxi' wksht, Row 431. Other columns are prorated from figures in Row 175."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figs. in Row \",$O499, \" start w/ last column, taken from 'Taxi' wksht, Row \",Taxis!AG431, \". Other columns are prorated from figures in Row \",$O175, \".\")","v":"Figs. in Row 499 start w/ last column, taken from 'Taxi' wksht, Row . Other columns are prorated from figures in Row 175."}]
[null,"Additional non-cordon VMT resulting from these trips",null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(product of number of trips and per-trip non-cordon miles for taxi trips shown in Row \",O96,\")\")","v":"(product of number of trips and per-trip non-cordon miles for taxi trips shown in Row 96)"},null,{"$f":"ROW()","v":501},{"$f":"P500*$L$93","v":-122.44084826355066},-43.541433932902819,-114.34588845568388,-43.108586615536964,-43.367253517060057,-26.630993536595042,0,{"$f":"SUM(P501:V501)","v":-393.43500432132947},null,{"$f":"Y500*$L$93","v":-238.38676959832759},-100.87425839796475,-390.82498578216206,-287.0258797954715,-148.22576017488555,-121.05638192885107,0,{"$f":"SUM(Y501:AE501)","v":-1286.3940356776625}]
[null,{"$f":"CONCATENATE(\"Non-Cordon VMT in period after tolls (sum of \",O494, \", \",O499, \" and \",O501,\")\")","v":"Non-Cordon VMT in period after tolls (sum of 494, 499 and 501)"},null,null,null,null,{"$f":"P502+Y502+AH502+AQ502+AZ502+BI502","v":13065827.067114543},4732935.1222617617,12546842.465624172,8109957.8540074127,4554001.2411356,3979228.1832131403,0,{"$f":"SUM(G502:M502)","v":46988791.933356628},{"$f":"ROW()","v":502},{"$f":"P494+P499+P501","v":2336607.0525201107},676156.81571754953,2191087.6030273214,1049917.4224682413,807457.60121749085,517600.32843617996,0,{"$f":"SUM(P502:V502)","v":7578826.8233868936},null,{"$f":"Y494+Y499+Y501","v":5473926.8290675255},2106560.3033264834,6123246.0137882633,4358099.3606609814,2217731.3873813334,2038143.2856084111,0,{"$f":"SUM(Y502:AE502)","v":22317707.179832999},null,{"$f":"AH494+AH499+AH501","v":4521900.3498363076},1695292.1325695612,3514903.0238792943,2228804.8076180262,1253442.3211435149,1176750.5592189559,{"$f":"AN494+AN499+AN501","v":0},{"$f":"SUM(AH502:AN502)","v":14391093.194265662},null,{"$f":"AQ494+AQ499","v":107093.51468880993},40802.083674784037,128322.50497330236,80645.535135200655,48727.722888515695,37549.687863095234,null,{"$f":"SUM(AQ502:AW502)","v":443141.04922370793},null,{"$f":"AZ494+AZ499+AZ501","v":397513.78452745517},149319.49434548672,395028.29801618075,258233.55519450142,146052.27016096126,130969.84458729703,{"$f":"BF494+BF499+BF501","v":0},{"$f":"SUM(AZ502:BF502)","v":1477117.2468318823},null,{"$f":"BI494+BI499","v":228785.53647433425},64804.292627896284,194255.02193981074,134257.1729304606,80589.938343785179,78214.477499200992,null,{"$f":"SUM(BI502:BO502)","v":780906.43981548818}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,"9. Non-cordon speeds after tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,"Hourly traffic after tolls as % of hourly traffic before tolls",null,null,null,null,{"$f":"G502/G184","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"N502/N184","v":0.95339216104779123},{"$f":"ROW()","v":505},{"$f":"G505","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"N505","v":0.95339216104779123},null,{"$f":"P505","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"W505","v":0.95339216104779123},null,{"$f":"Y505","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"AF505","v":0.95339216104779123},null,{"$f":"AH505","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"AO505","v":0.95339216104779123},null,{"$f":"AQ505","v":0.9784293830226094},1.0368244129039521,0.92328353421993137,0.94645159376490307,0.91546882460728451,0.93971422423938744,null,{"$f":"AX505","v":0.95339216104779123},null,{"$f":"AZ505","v":0.9784293830226094},{"$f":"BA505","v":1.0368244129039521},{"$f":"BB505","v":0.92328353421993137},{"$f":"BC505","v":0.94645159376490307},{"$f":"BD505","v":0.91546882460728451},{"$f":"BE505","v":0.93971422423938744},null,{"$f":"BG505","v":0.95339216104779123}]
[null,{"$f":"CONCATENATE(\"Ratio of new VMT in Row \",O494, \" to old VMT in Row \",O184, \".\")","v":"Ratio of new VMT in Row 494 to old VMT in Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G217 / 'Speed-Vol., non-Cordon'!$Y$4)^G$505,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H217 / 'Speed-Vol., non-Cordon'!$Y$4)^H$505,'Speed-Vol., non-Cordon'!$Y$6)","v":28.054467639429539},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I217 / 'Speed-Vol., non-Cordon'!$Y$4)^I$505,'Speed-Vol., non-Cordon'!$Y$6)","v":25.565946613217207},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J217 / 'Speed-Vol., non-Cordon'!$Y$4)^J$505,'Speed-Vol., non-Cordon'!$Y$6)","v":22.537753587619445},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K217 / 'Speed-Vol., non-Cordon'!$Y$4)^K$505,'Speed-Vol., non-Cordon'!$Y$6)","v":29.734323470542797},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L217 / 'Speed-Vol., non-Cordon'!$Y$4)^L$505,'Speed-Vol., non-Cordon'!$Y$6)","v":35.841461665741697},null,null,{"$f":"ROW()","v":507},{"$f":"G507","v":55},28.054467639429539,25.565946613217207,22.537753587619445,29.734323470542797,35.841461665741697,{"$f":"M507","v":0},null,null,{"$f":"P507","v":55},28.054467639429539,25.565946613217207,22.537753587619445,29.734323470542797,35.841461665741697,null,null,null,{"$f":"Y507","v":55},28.054467639429539,25.565946613217207,22.537753587619445,29.734323470542797,35.841461665741697,null,null,null,{"$f":"$AV$198*G507","v":54.45},27.773922963035243,25.310287147085035,22.31237605174325,29.436980235837368,35.483047049084277,null,null,null,{"$f":"G507","v":55},28.054467639429539,25.565946613217207,22.537753587619445,29.734323470542797,35.841461665741697,null,null,null,{"$f":"$AV$198*Y507","v":54.45},{"$f":"$AV$198*Z507","v":27.773922963035243},{"$f":"$AV$198*AA507","v":25.310287147085035},{"$f":"$AV$198*AB507","v":22.31237605174325},{"$f":"$AV$198*AC507","v":29.436980235837368},{"$f":"$AV$198*AD507","v":35.483047049084277}]
[null,{"$f":"CONCATENATE(\"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row \",O212, \".\")","v":"Speeds are calculated with 'speed-volume' relationship discussed in Part B, above, in note beginning in Row 212."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":508},null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT.",null,null,null,null,null,null,null,null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,"10. Cordon Trip Durations, after tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":511},{"$f":"($I$99)*60/P483","v":5.0020279355928414},8.4949694835037679,8.6875246974983948,10.720400488404858,8.0775099901744429,7.1083857240769275,null,{"$f":"SUMPRODUCT(P$463:V$463,P511:V511)/W$463","v":7.6590253847944076},null,{"$f":"($J$99)*60/Y483","v":5.0020279355928414},8.4949694835037679,8.6875246974983948,10.720400488404858,8.0775099901744429,7.1083857240769275,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y511:AE511)/AF$463","v":7.9020898964818471},null,{"$f":"($K$99)*60/AH483","v":4.66855940655332},7.9286381846035177,8.1083563843318363,10.005707122511202,7.539009324162814,6.6344933424718002,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH511:AN511)/AO$463","v":7.0330844029267308},null,{"$f":"($L$99)*60/AQ483","v":5.265292563781939},8.9420731405302813,9.144762839471996,11.284632093057745,8.502642094920466,7.4825112885020282,null,{"$f":"SUMPRODUCT(AQ$463:AW$463,AQ511:AW511)/AX$463","v":7.8716380207814254},null,{"$f":"($M$99)*60/AZ483","v":10.004055871185683},16.989938967007536,17.37504939499679,21.440800976809715,16.155019980348886,14.216771448153855,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ511:BF511)/BG$463","v":15.656861822130898},null,{"$f":"($L$99)*60/BI483","v":5.265292563781939},8.9420731405302813,9.144762839471996,11.284632093057745,8.502642094920466,7.4825112885020282,null,{"$f":"SUMPRODUCT(BI$463:BO$463,BI511:BO511)/BP$463","v":7.8509944036685049}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512},{"$f":"60*$I$99/(1/($P$152/$P483+$Q$152/$Q483+$R$152/$R483+$S$152/$S483+$T$152/$T483+$U$152/$U483))","v":7.7303627867283637},7.7303627867283637,7.7303627867283637,7.7303627867283637,7.7303627867283637,7.7303627867283637,null,{"$f":"SUMPRODUCT(P$463:V$463,P512:V512)/W$463","v":7.7303627867283637},null,{"$f":"60*$J$99/(1/($Y$152/$Y483+$Z$152/$Z483+$AA$152/$AA483+$AB$152/$AB483+$AC$152/$AC483+$AD$152/$AD483))","v":7.7303627867283664},7.7303627867283664,7.7303627867283664,7.7303627867283664,7.7303627867283664,7.7303627867283664,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y512:AE512)/AF$463","v":7.7303627867283655},null,{"$f":"AH511","v":4.66855940655332},7.9286381846035177,8.1083563843318363,10.005707122511202,7.539009324162814,6.6344933424718002,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH512:AN512)/AO$463","v":7.0330844029267308},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ483+$BA$152/$BA483+$BB$152/$BB483+$BC$152/$BC483+$BD$152/$BD483+$BE$152/$BE483))","v":15.460725573456733},15.460725573456733,15.460725573456733,15.460725573456733,15.460725573456733,15.460725573456733,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ512:BF512)/BG$463","v":15.460725573456736}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513},{"$f":"($I$93)*60/P507","v":18.389355683366585},36.051818041403706,39.561005813188871,44.876458456833859,34.015052119384876,28.219121530746651,null,{"$f":"SUMPRODUCT(P$463:V$463,P513:V513)/W$463","v":32.227976311925893},null,{"$f":"($J$93)*60/Y507","v":18.389355683366585},36.051818041403706,39.561005813188871,44.876458456833859,34.015052119384876,28.219121530746651,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y513:AE513)/AF$463","v":33.169515230712612},null,{"$f":"($K$93)*60/AH507","v":27.584033525049882},54.077727062105559,59.341508719783306,67.314687685250789,51.022578179077314,42.328682296119979,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH513:AN513)/AO$463","v":46.934234049245013},null,{"$f":"($L$93)*60/AQ507","v":6.6115702479338836},12.96179875198508,14.223465656787734,16.134543410578338,12.229515293886237,10.145690123568198,null,{"$f":"SUMPRODUCT(AQ$463:AW$463,AQ513:AW513)/AX$463","v":11.172689565311305},null,{"$f":"($M$93)*60/AZ507","v":17.190216448180387},33.700939073287167,36.981298559120503,41.950139394961141,31.796987262433316,26.378999647595876,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ513:BF513)/BG$463","v":30.720637536975669},null,{"$f":"($L$93)*60/BI507","v":6.6115702479338836},12.96179875198508,14.223465656787734,16.134543410578338,12.229515293886237,10.145690123568198,null,{"$f":"SUMPRODUCT(BI$463:BO$463,BI513:BO513)/BP$463","v":11.131335587145825}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514},{"$f":"60*$I$93/(1/($P$152/$P507+$Q$152/$Q507+$R$152/$R507+$S$152/$S507+$T$152/$T507+$U$152/$U507))","v":32.380793975466084},32.380793975466084,32.380793975466084,32.380793975466084,32.380793975466084,32.380793975466084,null,{"$f":"SUMPRODUCT(P$463:V$463,P514:V514)/W$463","v":32.380793975466084},null,{"$f":"60*$J$93/(1/($Y$152/$Y507+$Z$152/$Z507+$AA$152/$AA507+$AB$152/$AB507+$AC$152/$AC507+$AD$152/$AD507))","v":32.380793975466091},32.380793975466091,32.380793975466091,32.380793975466091,32.380793975466091,32.380793975466091,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y514:AE514)/AF$463","v":32.380793975466098},null,{"$f":"AH513","v":27.584033525049882},54.077727062105559,59.341508719783306,67.314687685250789,51.022578179077314,42.328682296119979,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH514:AN514)/AO$463","v":46.934234049245013},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ507+$BA$152/$BA507+$BB$152/$BB507+$BC$152/$BC507+$BD$152/$BD507+$BE$152/$BE507))","v":30.269296368315899},30.269296368315899,30.269296368315899,30.269296368315899,30.269296368315899,30.269296368315899,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ514:BF514)/BG$463","v":30.269296368315906}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515},{"$f":"SUM(P511:P514)","v":63.502540381153878},84.657944287101913,88.359687272881715,95.708015707433162,82.203718871753765,75.438664017018027,null,{"$f":"SUM(W511:W514)","v":79.998158458914759},null,{"$f":"SUM(Y511:Y514)","v":63.502540381153885},84.657944287101927,88.359687272881729,95.708015707433177,82.203718871753779,75.438664017018027,null,{"$f":"SUM(AF511:AF514)","v":81.182761889388928},null,{"$f":"SUM(AH511:AH514)","v":64.505185863206407},124.01273049341816,134.89973020823027,154.640789615524,117.12317500648025,97.926351277183556,null,{"$f":"SUM(AO511:AO514)","v":107.93463690434348},null,{"$f":"AQ511+AQ513","v":11.876862811715823},21.903871892515362,23.368228496259732,27.419175503636083,20.732157388806705,17.628201412070226,null,{"$f":"AX511+AX513","v":19.044327586092731},null,{"$f":"SUM(AZ511:AZ514)","v":72.924294261138698},96.42089998206734,100.08636989588993,109.12096231354349,93.682029184554835,86.325793037522374,null,{"$f":"SUM(BG511:BG514)","v":92.107521300879213},null,{"$f":"BI511+BI513","v":11.876862811715823},21.903871892515362,23.368228496259732,27.419175503636083,20.732157388806705,17.628201412070226,null,{"$f":"BP511+BP513","v":18.982329990814328}]
[null,"Ratio, duration with new tolls to duration w/o tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516},{"$f":"P515/P234","v":0.93414345330321757},0.97780829381513545,0.87442053959735999,0.8917776096945067,0.87579447606265159,0.904235290069759,null,{"$f":"W515/W234","v":0.90381624022570095},null,{"$f":"Y515/Y234","v":0.93414345330321746},0.97780829381513534,0.87442053959735988,0.89177760969450681,0.87579447606265171,0.90423529006975878,null,{"$f":"AF515/AF234","v":0.89576549766794511},null,{"$f":"AH515/AH234","v":0.99384386170276495},1.0562590745453968,0.85882121520358901,0.89069324531467731,0.85797544633893086,0.91020427614285049,null,{"$f":"AO515/AO234","v":0.88622984013518857},null,{"$f":"AQ515/AQ234","v":0.9873390079592228},1.0564935379746234,0.82796139077144348,0.86029673580800148,0.82831984674145998,0.88923527857190809,null,{"$f":"AX515/AX234","v":0.88942463525981996},null,{"$f":"AZ515/AZ234","v":0.92532495479798837},0.97105467231809162,0.86029889289393358,0.87757745145277133,0.86198321020619395,0.8927718624460641,null,{"$f":"BG515/BG234","v":0.88838749021468688},null,{"$f":"BI515/BI234","v":1.015727930967192},1.0850543562360395,0.85086328704306802,0.8847458580537525,0.85182461297094103,0.91462298057242719,null,{"$f":"BP515/BP234","v":0.91638060044181069}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":517}]
[null,"F. Take the calculated reduction in trip volumes due to the new tolls through a series of iterations reflecting the \"rebound effect\" by which lighter traffic stimulates greater use of roads due to improvement in travel times, which then dampens travel due to increase in traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":521},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Discussion: New tolls will alter traffic volumes in each time period, reducing them in most cases. Resulting gains in traffic speeds \"re-attract\" some trips that tolls discouraged. They will also induce some new trips made by time-sensitive drivers for whom reduced duration more than offsets higher tolls. We estimate this \"rebound effect\" by applying drivers' \"time elasticities\" (sensitivity to trip durations; shown in Elasticities worksheet) to the calculated shortening of trip durations for each trip type during each period.  However, just as reduced traffic in Round #1 ushers in new trips attracted by time savings, the subsequent changes in traffic volumes due to new trips will evoke their own rebound effects. These impacts are estimated in later sections of this worksheet. These sections repeat process until changes (\"perturbations\") from each round to next shrink to minimal levels, signaling that equilibrium has been reached. The traffic levels, speeds, durations, etc. in that round are, effectively, the final results.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":523}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":524}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":525}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":527}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,"Traffic Rebound #1 (Traffic Round 2)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Traffic-Rebound Factors from tolls",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":531}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":532}]
[null,"For cordon entries (are shown and sourced at right for each trip type and time bin; also see \"Discussion\" text several rows above; factors will apply to future traffic iterations)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533},{"$f":"P516^Elasticities!$G$67","v":1.0704993932825924},{"$f":"Q516^Elasticities!$G$67","v":1.0226953548310362},{"$f":"R516^Elasticities!$G$67","v":1.1436144906436725},{"$f":"S516^Elasticities!$G$67","v":1.121355805672859},{"$f":"T516^Elasticities!$G$67","v":1.1418204011696269},{"$f":"U516^Elasticities!$G$67","v":1.1059068485624499},null,null,null,{"$f":"Y516^Elasticities!$H$67","v":1.0704993932825924},{"$f":"Z516^Elasticities!$H$67","v":1.0226953548310362},{"$f":"AA516^Elasticities!$H$67","v":1.1436144906436725},{"$f":"AB516^Elasticities!$H$67","v":1.121355805672859},{"$f":"AC516^Elasticities!$H$67","v":1.1418204011696267},{"$f":"AD516^Elasticities!$H$67","v":1.1059068485624504},null,null,null,{"$f":"AH516^Elasticities!$J$67","v":1.0061942710866953},{"$f":"AI516^Elasticities!$J$67","v":0.9467374284385579},{"$f":"AJ516^Elasticities!$J$67","v":1.1643866992304606},{"$f":"AK516^Elasticities!$J$67","v":1.1227209875681781},{"$f":"AL516^Elasticities!$J$67","v":1.1655345199761864},{"$f":"AM516^Elasticities!$J$67","v":1.0986544737382191},null,null,null,{"$f":"AQ516^Elasticities!$G$69","v":1.0076743936034225},{"$f":"AR516^Elasticities!$G$69","v":0.96756442711162394},{"$f":"AS516^Elasticities!$G$69","v":1.1199379176626201},{"$f":"AT516^Elasticities!$G$69","v":1.0944880772228232},{"$f":"AU516^Elasticities!$G$69","v":1.1196471001577772},{"$f":"AV516^Elasticities!$G$69","v":1.0729759546125179},null,null,null,{"$f":"AZ516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0262076356749141},{"$f":"BA516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0098389227438307},{"$f":"BB516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0514377010866205},{"$f":"BC516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0444913507854172},{"$f":"BD516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0507524172594258},{"$f":"BE516^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0385318862221},null,null,null,{"$f":"BI516^Elasticities!$G$69","v":0.99068038206994047},{"$f":"BJ516^Elasticities!$G$69","v":0.95220203012221549},{"$f":"BK516^Elasticities!$G$69","v":1.1017527137375493},{"$f":"BL516^Elasticities!$G$69","v":1.0762393753052686},{"$f":"BM516^Elasticities!$G$69","v":1.101006516021193},{"$f":"BN516^Elasticities!$G$69","v":1.0550055262077935}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto non-work trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto through-trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"For intra-cordon travel (are shown + sourced at right for each trip type and time bin; see \"Discussion\" text several rows above; factors apply to next traffic iterations)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535},{"$f":"(P201/P483)^Elasticities!$G$67","v":1.0251829514080066},{"$f":"(Q201/Q483)^Elasticities!$G$67","v":0.94608387221119394},{"$f":"(R201/R483)^Elasticities!$G$67","v":1.3052170998470825},{"$f":"(S201/S483)^Elasticities!$G$67","v":1.2451196686859523},{"$f":"(T201/T483)^Elasticities!$G$67","v":1.2947417603968201},{"$f":"(U201/U483)^Elasticities!$G$67","v":1.1761622374646061},null,null,null,{"$f":"(Y201/Y483)^Elasticities!$H$67","v":1.0251829514080066},{"$f":"(Z201/Z483)^Elasticities!$H$67","v":0.94608387221119394},{"$f":"(AA201/AA483)^Elasticities!$H$67","v":1.3052170998470825},{"$f":"(AB201/AB483)^Elasticities!$H$67","v":1.2451196686859523},{"$f":"(AC201/AC483)^Elasticities!$H$67","v":1.2947417603968201},{"$f":"(AD201/AD483)^Elasticities!$H$67","v":1.1761622374646061},null,null,null,{"$f":"(AH201/AH483)^Elasticities!$J$67","v":1.0251829514080066},{"$f":"(AI201/AI483)^Elasticities!$J$67","v":0.94608387221119394},{"$f":"(AJ201/AJ483)^Elasticities!$J$67","v":1.3052170998470825},{"$f":"(AK201/AK483)^Elasticities!$J$67","v":1.2451196686859523},{"$f":"(AL201/AL483)^Elasticities!$J$67","v":1.2947417603968201},{"$f":"(AM201/AM483)^Elasticities!$J$67","v":1.1761622374646061},null,null,null,{"$f":"(AQ201/AQ483)^Elasticities!$G$69","v":1.0150345501844111},{"$f":"(AR201/AR483)^Elasticities!$G$69","v":0.96729241773556041},{"$f":"(AS201/AS483)^Elasticities!$G$69","v":1.1733015730880374},{"$f":"(AT201/AT483)^Elasticities!$G$69","v":1.1405823745516859},{"$f":"(AU201/AU483)^Elasticities!$G$69","v":1.1676424984585179},{"$f":"(AV201/AV483)^Elasticities!$G$69","v":1.1022505874304824},null,null,null,{"$f":"(AZ201/AZ483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0083248221612022},{"$f":"(BA201/BA483)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98169492620575249},{"$f":"(BB201/BB483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0928509101740393},{"$f":"(BC201/BC483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0758136025560423},{"$f":"(BD201/BD483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0899194060986621},{"$f":"(BE201/BE483)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0555749544446351},null,null,null,{"$f":"(BI201/BI483)^Elasticities!$G$69","v":0.98427167739095656},{"$f":"(BJ201/BJ483)^Elasticities!$G$69","v":0.93797647612996071},{"$f":"(BK201/BK483)^Elasticities!$G$69","v":1.1377420672222422},{"$f":"(BL201/BL483)^Elasticities!$G$69","v":1.1060144965494885},{"$f":"(BM201/BM483)^Elasticities!$G$69","v":1.1322545033978719},{"$f":"(BN201/BN483)^Elasticities!$G$69","v":1.0688444392343701}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"For non-cordon travel (ditto)",null,null,null,null,{"$f":"($I$85*$I$93*P537+$J$85*$J$93*Y537+$K$85*$K$93*AH537+$L$85*$L$93*AQ537+$M$85*$M$93*AZ537+$N$85*$N$93*BI537)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1.0026301831009152},0.94885698565094978,1.1385079300361731,1.0997247514763493,1.1397481156299007,1.0825074433401973,null,null,{"$f":"ROW()","v":537},{"$f":"(P217/P507)^Elasticities!$G$67","v":1.0029804632854691},{"$f":"(Q217/Q507)^Elasticities!$G$67","v":0.94683324997436524},{"$f":"(R217/R507)^Elasticities!$G$67","v":1.1451437931671853},{"$f":"(S217/S507)^Elasticities!$G$67","v":1.1045275531549865},{"$f":"(T217/T507)^Elasticities!$G$67","v":1.1464430780098147},{"$f":"(U217/U507)^Elasticities!$G$67","v":1.0865060978725303},null,null,null,{"$f":"(Y217/Y507)^Elasticities!$H$67","v":1.0029804632854691},{"$f":"(Z217/Z507)^Elasticities!$H$67","v":0.94683324997436524},{"$f":"(AA217/AA507)^Elasticities!$H$67","v":1.1451437931671853},{"$f":"(AB217/AB507)^Elasticities!$H$67","v":1.1045275531549865},{"$f":"(AC217/AC507)^Elasticities!$H$67","v":1.1464430780098147},{"$f":"(AD217/AD507)^Elasticities!$H$67","v":1.0865060978725303},null,null,null,{"$f":"(AH217/AH507)^Elasticities!$H$67","v":1.0029804632854691},{"$f":"(AI217/AI507)^Elasticities!$H$67","v":0.94683324997436524},{"$f":"(AJ217/AJ507)^Elasticities!$H$67","v":1.1451437931671853},{"$f":"(AK217/AK507)^Elasticities!$H$67","v":1.1045275531549865},{"$f":"(AL217/AL507)^Elasticities!$H$67","v":1.1464430780098147},{"$f":"(AM217/AM507)^Elasticities!$H$67","v":1.0865060978725303},null,null,null,{"$f":"(AQ217/AQ507)^Elasticities!$G$69","v":1.0017872134719203},{"$f":"(AR217/AR507)^Elasticities!$G$69","v":0.96775205096315742},{"$f":"(AS217/AS507)^Elasticities!$G$69","v":1.0847159197597511},{"$f":"(AT217/AT507)^Elasticities!$G$69","v":1.0614656204196429},{"$f":"(AU217/AU507)^Elasticities!$G$69","v":1.0854541861602229},{"$f":"(AV217/AV507)^Elasticities!$G$69","v":1.0510401363168429},null,null,null,{"$f":"(AZ217/AZ507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0009925023749671},{"$f":"(BA217/BA507)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98195405270255032},{"$f":"(BB217/BB507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0462127486559709},{"$f":"(BC217/BC507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0336944504447578},{"$f":"(BD217/BD507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0466082781951627},{"$f":"(BE217/BE507)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0280416800768004},null,null,null,{"$f":"(BI217/BI507)^Elasticities!$G$69","v":0.99576441230553692},{"$f":"(BJ217/BJ507)^Elasticities!$G$69","v":0.96193387111125983},{"$f":"(BK217/BK507)^Elasticities!$G$69","v":1.0781945465391027},{"$f":"(BL217/BL507)^Elasticities!$G$69","v":1.0550840293085095},{"$f":"(BM217/BM507)^Elasticities!$G$69","v":1.0789283744403824},{"$f":"(BN217/BN507)^Elasticities!$G$69","v":1.0447212238034898}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":538},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,"Period entries after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P542+Y542+AH542+AQ542+AZ542+BI542","v":124827.3110973615},54761.944833389774,117687.31802630977,81711.222815614572,45048.461620863374,36802.175996609891,{"$f":"V542+AE542+AN542+AW542+BF542+BO542","v":0},{"$f":"SUM(G542:M542)","v":460838.43439014885},{"$f":"ROW()","v":542},{"$f":"P448","v":24032.266576156508},2499.1169446153508,25858.159891431784,7511.5817709675921,10173.136424451419,532.96196777192472,null,{"$f":"SUM(P542:V542)","v":70607.223575394572},null,{"$f":"Y448","v":42568.927468644986},28202.104402477351,48289.415685427957,43930.842057101479,17348.866441535432,19264.603530574033,null,{"$f":"SUM(Y542:AE542)","v":199604.75958576126},null,{"$f":"AH448","v":30545.253179975243},14609.540816284338,17579.135874753334,11914.346734436791,6241.5383608684333,6543.534789788936,null,{"$f":"SUM(AH542:AN542)","v":87433.349756107084},null,{"$f":"AQ448","v":7560.6041528431424},2912.6949607865231,9178.9726614359333,5767.4794631336526,3481.2518387045561,2672.2119715089339,null,{"$f":"SUM(AQ542:AW542)","v":31573.215048412741},null,{"$f":"AZ448","v":3879.2936917698039},2302.6257067372139,3583.3740742526475,2762.5540201103418,1482.4901493973452,1548.8567160473001,null,{"$f":"SUM(AZ542:BF542)","v":15559.194358314651},null,{"$f":"BI448","v":16240.966027971806},4235.8620024889969,13198.259839008124,9824.4187698647147,6321.178405906182,6240.0070209187688,null,{"$f":"SUM(BI542:BO542)","v":56060.692066158597}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O448,\".\")","v":"Above row repeats figures in Row 448."},null,null,null,null,"Rows above and below are sums of respective figures in column blocks to right. See notes there.",null,null,null,null,null,null,null,{"$f":"ROW()","v":543},{"$f":"CONCATENATE(\"Figures in Row \",O544, \" are product of figures in Row \",O542, \" and rebound factors in Row \",O533, \".\")","v":"Figures in Row 544 are product of figures in Row 542 and rebound factors in Row 533."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P544+Y544+AH544+AQ544+AZ544+BI544","v":129720.19101772743},54406.293054734015,133853.94659405827,90833.075357132242,51115.075018782678,40142.345208853665,{"$f":"V544+AE544+AN544+AW544+BF544+BO544","v":0},{"$f":"SUM(G544:M544)","v":500070.92625128827},{"$f":"ROW()","v":544},{"$f":"P542*P533","v":25726.526788981064},2555.8352904376511,29571.7663532224,8423.1558286609252,11615.894713320464,589.40629018229129,null,{"$f":"SUM(P544:V544)","v":78482.585264804788},null,{"$f":"Y542*Y533","v":45570.011027875138},28842.161168873503,55224.475522571265,49262.104788828146,19809.28964011226,21304.856979302185,null,{"$f":"SUM(Y544:AE544)","v":220012.8991275625},null,{"$f":"AH542*AH533","v":30734.458758583754},13831.399103077185,20468.911996527811,13376.48713191657,7274.7284173477428,7189.0837708632916,null,{"$f":"SUM(AH544:AN544)","v":92875.069178316349},null,{"$f":"AQ542*AQ533","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ544:AW544)","v":33794.15699001529},null,{"$f":"AZ542*AZ533","v":3980.9608075196998},2325.2810631737598,3767.6945987656004,2885.4637800827354,1557.7301080425477,1608.5370868043701,null,{"$f":"SUM(AZ544:BF544)","v":16125.667444388713},null,{"$f":"BI542*BI533","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI544:BO544)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Each figure in above row is product of figures in Rows \",O533,\" and \",O542,\".\")","v":"Each figure in above row is product of figures in Rows 533 and 542."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":545},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O544, \" figs. apply to Row \",$O542, \" the fractional chng from Row \",$O533, \" factored by % of taxi-trip chngs not absorbed by cruising, from Row \",Taxis!$O$185, \" of 'Taxis'.\")","v":"Row 544 figs. apply to Row 542 the fractional chng from Row 533 factored by % of taxi-trip chngs not absorbed by cruising, from Row 185 of 'Taxis'."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O544, \" figs. apply to Row \",$O542, \" the fractional chng from Row \",$O533, \" factored by % of taxi-trip chngs not absorbed by cruising, from Row \",Taxis!$O$185, \" of 'Taxis'.\")","v":"Row 544 figs. apply to Row 542 the fractional chng from Row 533 factored by % of taxi-trip chngs not absorbed by cruising, from Row 185 of 'Taxis'."}]
[null,"Cordon VMT from inbound cordon-crossing trips (see notes to right)",null,null,null,null,{"$f":"P546+Y546+AH546+AQ546+AZ546+BI546","v":197478.28186201231},83714.221266553941,204385.57058958302,139240.15999263083,78281.734848503067,61907.415066400732,{"$f":"V546+AE546+AN546+AW546+BF546+BO546","v":0},{"$f":"SUM(G546:M546)","v":765007.38362568384},{"$f":"ROW()","v":546},{"$f":"P544*$I$99","v":38589.790183471596},3833.7529356564764,44357.649529833601,12634.733742991388,17423.842069980696,884.10943527343693,null,{"$f":"SUM(P546:V546)","v":117723.8778972072},null,{"$f":"Y544*$J$99","v":68355.016541812714},43263.241753310256,82836.713283856894,73893.15718324222,29713.934460168392,31957.285468953276,null,{"$f":"SUM(Y546:AE546)","v":330019.34869134374},null,{"$f":"AH544*$K$99","v":43028.242262017258},19363.95874430806,28656.47679513894,18727.081984683202,10184.619784286841,10064.717279208609,null,{"$f":"SUM(AH546:AN546)","v":130025.09684964291},null,{"$f":"AQ544*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ546:AW546)","v":50691.235485022939},null,{"$f":"AZ544*$M$99","v":11942.8824225591},6975.8431895212798,11303.083796296802,8656.3913402482067,4673.1903241276432,4825.6112604131104,null,{"$f":"SUM(AZ546:BF546)","v":48377.002333166143},null,{"$f":"BI544*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI546:BO546)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":547},{"$f":"CONCATENATE(\"Figures in Row \",O546, \" are product of trips in Row \",O544, \" and CBD miles for that trip type in Row \",O99, \".\")","v":"Figures in Row 546 are product of trips in Row 544 and CBD miles for that trip type in Row 99."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab inbound cordon VMT is calculated as half of trips times cordon VMT per trip, to reflect lesser circulation on initial trips.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab inbound cordon VMT is calculated as half of trips times cordon VMT per trip, to reflect lesser circulation on initial trips."]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P549+Y549+AH549+AQ549+AZ549+BI549","v":133938.7772344301},41269.478962621404,121044.75977760297,78577.472331802594,44356.246585617817,41651.699498073976,{"$f":"V549+AE549+AN549+AW549+BF549+BO549","v":0},{"$f":"SUM(G549:M549)","v":460838.43439014885},{"$f":"ROW()","v":549},{"$f":"P$152*$W542","v":20837.05269915417},6455.3974888612502,18667.083727377918,11916.351993058681,6537.2975338294236,6194.0401331131225,null,{"$f":"W$152*$W542","v":70607.223575394557},null,{"$f":"Y$152*$AF542","v":58905.79864040864},18249.23851337652,52771.35356543048,33687.21292622351,18480.767781320032,17510.388159002083,null,{"$f":"SUM(Y549:AE549)","v":199604.75958576126},null,{"$f":"AH$152*$AO542","v":25802.647721818466},7993.757548837978,23115.562088623705,14756.09036678031,8095.1748672671174,7670.1171627795084,null,{"$f":"SUM(AH549:AN549)","v":87433.349756107098},null,{"$f":"AQ542","v":7560.6041528431424},2912.6949607865231,9178.9726614359333,5767.4794631336526,3481.2518387045561,2672.2119715089339,null,{"$f":"SUM(AQ549:AW549)","v":31573.215048412741},null,{"$f":"AZ$152*$BG542","v":4591.7079922338944},1422.5284482701354,4113.5278957268165,2625.9188127417328,1440.5761585905082,1364.9350507515646,null,{"$f":"SUM(AZ549:BF549)","v":15559.194358314651},null,{"$f":"BI542","v":16240.966027971806},4235.8620024889969,13198.259839008124,9824.4187698647147,6321.178405906182,6240.0070209187688,null,{"$f":"SUM(BI549:BO549)","v":56060.692066158597}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right is product of period's % of total exits in Row \",$O$152,\" times 24-h entries for trip type in Row \",O542,\"; except taxicabs, where each fig. is corresp. # of entries for period.\")","v":"Each fig. in column blocks to right is product of period's % of total exits in Row 152 times 24-h entries for trip type in Row 542; except taxicabs, where each fig. is corresp. # of entries for period."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551},{"$f":"P549*$W544/$W542","v":23161.167970050141},7175.4171624773253,20749.165823165571,13245.47353631626,7266.4521435588631,6884.9086292366201,null,{"$f":"SUM(P551:V551)","v":78482.585264804788},null,{"$f":"Y549*$AF544/$AF542","v":64928.48948690718},20115.090845182185,58166.841877473023,37131.486217098398,20370.292302195776,19300.698398705958,null,{"$f":"SUM(Y551:AE551)","v":220012.8991275625},null,{"$f":"AH549*$AO544/$AO542","v":27408.565482534661},8491.2769259553479,24554.239704474305,15674.487108627374,8599.0063048623688,8147.4936518622962,null,{"$f":"SUM(AH551:AN551)","v":92875.069178316364},null,{"$f":"AQ549*$AX544/$AX542","v":8092.4366837132575},3117.5814885470331,9824.6454360756852,6173.1789466155797,3726.1321337902677,2860.1823012734658,null,{"$f":"SUM(AQ551:AW551)","v":33794.15699001529},null,{"$f":"AZ549*$BG544/$BG542","v":4758.8811078085891},1474.3193097737781,4263.2916166548785,2721.5222417739587,1493.0240940998037,1414.629074277706,null,{"$f":"SUM(AZ551:BF551)","v":16125.667444388713},null,{"$f":"BI549*$AX544/$AX542","v":17383.397755889171},4533.82353620494,14126.65971173807,10515.493899983805,6765.8265109693739,6678.9453199612535,null,{"$f":"SUM(BI551:BO551)","v":60004.146734746617}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right prorates pre-toll # of exits, in Row \",O549,\", by ratio of (i) sum of post-tolls entries for trip type, in Row \",O544,\" , to (ii) sum of pre-tolls entries for trip type, in Row \",O542,\".\")","v":"Each fig. in column blocks to right prorates pre-toll # of exits, in Row 549, by ratio of (i) sum of post-tolls entries for trip type, in Row 544 , to (ii) sum of pre-tolls entries for trip type, in Row 542."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P553+Y553+AH553+AQ553+AZ553+BI553","v":213443.43492896302},65854.338289994048,192485.04027847701,124449.04525994649,69776.251253093287,65660.307451243265,{"$f":"V553+AE553+AN553+AW553+BF553+BO553","v":0},{"$f":"SUM(G553:M553)","v":731668.41746171715},{"$f":"ROW()","v":553},{"$f":"P551*$I$99","v":34741.751955075211},10763.125743715987,31123.748734748355,19868.210304474389,10899.678215338296,10327.362943854931,null,{"$f":"SUM(P553:V553)","v":117723.87789720716},null,{"$f":"Y551*$J$99","v":97392.734230360773},30172.636267773276,87250.262816209535,55697.229325647597,30555.438453293664,28951.047598058936,null,{"$f":"SUM(Y553:AE553)","v":330019.34869134374},null,{"$f":"AH551*$K$99","v":38371.991675548532},11887.787696337487,34375.93558626403,21944.281952078327,12038.608826807318,11406.491112607217,null,{"$f":"SUM(AH553:AN553)","v":130025.09684964291},null,{"$f":"AQ551*$L$99*Taxis!$L$228","v":9103.9912691774152},{"$f":"AR551*$L$99*Taxis!$L$228","v":3507.2791746154121},{"$f":"AS551*$L$99*Taxis!$L$228","v":11052.726115585147},{"$f":"AT551*$L$99*Taxis!$L$228","v":6944.8263149425275},{"$f":"AU551*$L$99*Taxis!$L$228","v":4191.898650514051},{"$f":"AV551*$L$99*Taxis!$L$228","v":3217.7050889326492},null,{"$f":"AX551*$L$99","v":50691.235485022931},null,{"$f":"AZ551*$M$99","v":14276.643323425767},4422.9579293213337,12789.874849964635,8164.5667253218762,4479.0722822994112,4243.8872228331184,null,{"$f":"SUM(AZ553:BF553)","v":48377.002333166143},null,{"$f":"BI551*$L$99*Taxis!$L$228","v":19556.322475375317},{"$f":"BJ551*$L$99*Taxis!$L$228","v":5100.5514782305572},{"$f":"BK551*$L$99*Taxis!$L$228","v":15892.492175705327},{"$f":"BL551*$L$99*Taxis!$L$228","v":11829.930637481781},{"$f":"BM551*$L$99*Taxis!$L$228","v":7611.5548248405448},{"$f":"BN551*$L$99*Taxis!$L$228","v":7513.8134849564103},null,{"$f":"BP551*$L$99","v":90006.220102119929}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O553, \" are product of trips in Row \",O551, \" and CBD miles for that trip type in Row \",O99, \" (see column blocks to right).\")","v":"Figures in Row 553 are product of trips in Row 551 and CBD miles for that trip type in Row 99 (see column blocks to right)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":554},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":556},{"$f":"CONCATENATE(\"Figs. in Row \",O557, \" repeat figs. for same column in Row \",$O$160, \"; figs. in Row \",O558, \" multiply those figs. by intra-cordon rebound factor in Row \",O535,\".\")","v":"Figs. in Row 557 repeat figs. for same column in Row 160; figs. in Row 558 multiply those figs. by intra-cordon rebound factor in Row 535."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O558, \" figures are set equal to Row \",$O557, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 558 figures are set equal to Row 557 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O558, \" figures are set equal to Row \",$O557, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 558 figures are set equal to Row 557 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before new tolls ",null,null,null,null,{"$f":"P557+Y557+AH557+AQ557+AZ557+BI557","v":536670.49878081633},124738.44820721887,345426.85516742093,220050.70333919613,140923.80711491199,135258.23414986685,0,{"$f":"SUM(G557:M557)","v":1503068.5467594313},{"$f":"ROW()","v":557},{"$f":"P160","v":9141.2289794535191},3140.9101626694314,9492.2010186734205,6009.6170915748025,3468.6745587616138,2947.3681888672104,null,{"$f":"SUM(P557:V557)","v":34200},null,{"$f":"Y160","v":27412.231764200838},9418.7945103608381,28464.708067275056,18021.320426238726,10401.676966311456,8838.4111227559333,null,{"$f":"SUM(Y557:AE557)","v":102557.14285714286},null,{"$f":"AH160","v":0},0,0,0,0,0,null,{"$f":"SUM(AH557:AN557)","v":0},null,{"$f":"AQ160","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ557:AW557)","v":510435.42163078324},null,{"$f":"AZ160","v":5196.0669988472628},1785.359460885782,5395.5668948248922,3415.9928731056775,1971.6676439276544,1675.3461284087302,null,{"$f":"SUM(AZ557:BF557)","v":19440},null,{"$f":"BI160","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI557:BO557)","v":836435.98227150494}]
[null,"After new tolls ",null,"(indicates rebound effect for intra-cordon trips, which are unaffected by toll)",null,null,{"$f":"P558+Y558+AH558+AQ558+AZ558+BI558","v":537634.2791402213},124028.59642839734,357512.93617488293,226200.13750779134,145189.27012430067,137427.55068843177,null,{"$f":"SUM(G558:M558)","v":1527992.7700640254},{"$f":"ROW()","v":558},{"$f":"P557*P535","v":9371.4321046525583},2971.5644489657866,12389.383084758443,7482.6924419910538,4491.0378044546751,3466.583163650062,null,{"$f":"SUM(P558:V558)","v":40172.693048472574},null,{"$f":"Y557*Y535","v":28102.552664703726},8910.9695819237186,37152.623711562599,22438.700518401747,13467.485546441148,10395.405401772679,null,{"$f":"SUM(Y558:AE558)","v":120467.73742480561},null,{"$f":"AH557*AH535","v":0},0,0,0,0,0,null,{"$f":"SUM(AH558:AN558)","v":0},null,{"$f":"AQ557","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ558:AW558)","v":510435.42163078324},null,{"$f":"AZ557*AZ535","v":5239.3233325503579},1752.6783242050099,5896.5501919142989,3674.9715991215844,2148.9588274935772,1768.4534131740413,null,{"$f":"SUM(AZ558:BF558)","v":20480.935688458871},null,{"$f":"BI557","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI558:BO558)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,963.78035940502195,-709.85177882152584,12086.081007462013,6149.4341685951949,4265.4630093886817,2169.3165385649158,null,{"$f":"W559+AF559+AO559+AX559+BG559+BP559","v":24924.223304594299},{"$f":"ROW()","v":559},{"$f":"P558-P557","v":230.20312519903928},-169.34571370364483,2897.1820660850226,1473.0753504162512,1022.3632456930613,519.21497478285164,null,{"$f":"W558-W557","v":5972.6930484725744},null,{"$f":"Y558-Y557","v":690.32090050288753},-507.82492843711952,8687.9156442875428,4417.3800921630209,3065.8085801296929,1556.9942790167461,null,{"$f":"AF558-AF557","v":17910.59456766276},null,{"$f":"AH558-AH557","v":0},0,0,0,0,0,null,{"$f":"AO558-AO557","v":0},null,{"$f":"AQ558-AQ557","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ558-AZ557","v":43.256333703095152},-32.68113668077217,500.98329708940673,258.97872601590689,177.29118356592289,93.107284765311078,null,{"$f":"BG558-BG557","v":1040.9356884588706},null,{"$f":"BI558-BI557","v":0},0,0,0,0,0,null,{"$f":"BP558-BP557","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560},{"$f":"CONCATENATE(\"Figs. in Row \",O561, \" repeat figs. for same column in Row \",O463, \".\")","v":"Figs. in Row 561 repeat figs. for same column in Row 463."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O562, \" figures are set equal to Row \",$O561, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 562 figures are set equal to Row 561 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O562, \" figures are set equal to Row \",$O561, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 562 figures are set equal to Row 561 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Total Cordon VMT with new tolls, before rebound effect",null,null,null,null,{"$f":"P561+Y561+AH561+AQ561+AZ561+BI561","v":925458.83200490661},274604.45301052241,694489.67696573399,456635.18874480436,268067.09892867727,249905.22004474094,null,{"$f":"W561+AF561+AO561+AX561+BG561+BP561","v":2869160.4696993856},{"$f":"ROW()","v":561},{"$f":"P463","v":76828.888605750515},16566.992294581803,76098.456215842627,35055.680139942669,28412.478596888883,13059.174873177277,null,{"$f":"SUM(P561:V561)","v":246021.6707261838},null,{"$f":"Y463","v":181281.08896547812},79071.241029292491,179271.65253281977,134034.56748256937,63619.982364067924,64092.8892401989,null,{"$f":"SUM(Y561:AE561)","v":701371.42161442654},null,{"$f":"AH463","v":83444.578718535224},38235.83277332432,49804.620047899814,36700.068721345968,16600.349665676353,20027.929390318121,null,{"$f":"SUM(AH561:AN561)","v":244813.37931709981},null,{"$f":"AQ463*(1+$AX$364)","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ561:AW561)","v":565786.23283284309},null,{"$f":"AZ463","v":30919.482452769247},11836.09274340336,30417.177488138121,20032.003703941464,11276.942570622567,10235.884116069203,null,{"$f":"SUM(AZ561:BF561)","v":114717.58307494395},null,{"$f":"BI463*(1+$AX$364)","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI561:BO561)","v":996450.18213388755}]
[null,"Total Cordon VMT with new tolls, after rebound effect",null,null,null,null,942397.153958551,273212.81078495912,747030.07306158182,483994.88581520645,288233.21232611319,260780.29672477685,null,{"$f":"W562+AF562+AO562+AX562+BG562+BP562","v":2995648.4326711884},{"$f":"ROW()","v":562},{"$f":"P546+P553+P558","v":82702.974243199365},17568.443128338251,87870.781349340396,39985.636489456825,32814.558089773665,14678.055542778429,null,{"$f":"SUM(P562:V562)","v":275620.44884288695},null,{"$f":"Y546+Y553+Y558","v":193850.30343687721},82346.847603007263,207239.59981162904,152029.08702729156,73736.858459903204,71303.738468784883,null,{"$f":"SUM(Y562:AE562)","v":780506.43480749312},null,{"$f":"AH546+AH553+AH558","v":81400.23393756579},31251.746440645547,63032.412381402974,40671.363936761525,22223.228611094157,21471.208391815824,null,{"$f":"SUM(AH562:AN562)","v":260050.19369928582},null,{"$f":"AQ561","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ562:AW562)","v":565786.23283284309},null,{"$f":"AZ546+AZ553+AZ558","v":31458.849078535222},13151.479443047623,29989.508838175738,20495.92966469167,11301.221433920633,10837.951896420271,null,{"$f":"SUM(AZ562:BF562)","v":117234.94035479118},null,{"$f":"BI561","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI562:BO562)","v":996450.18213388755}]
[null,"Figures in two preceding rows are sums of respective VMT's from inbound and outbound cordon-crossing trips and from intra-cordon trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,"Hourly Cordon VMT with new tolls, after rebound effect",null,null,null,null,{"$f":"G562/G$135","v":94239.715395855106},136606.40539247956,149406.01461231636,161331.62860506881,144116.6061630566,130390.14836238843,null,null,{"$f":"ROW()","v":564},{"$f":"CONCATENATE(\"Figures in Row \",O562,\" are sums of figures in Rows \",O546,\", \",O553,\" and \",O558, \" -- inbound, oubound and intra-cordon VMT.\")","v":"Figures in Row 562 are sums of figures in Rows 546, 553 and 558 -- inbound, oubound and intra-cordon VMT."}]
[null," ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,"Speeds (employ respective speed-volume relationships noted in earlier sections)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G564/$I$198)^KSE)","v":17.726692033998496},10.657102260852971,8.7201046741152233,7.164918288458737,9.4891844317845937,11.680720454432686,null,null,{"$f":"ROW()","v":567},{"$f":"G567","v":17.726692033998496},10.657102260852971,8.7201046741152233,7.164918288458737,9.4891844317845937,11.680720454432686,null,null,null,{"$f":"G567","v":17.726692033998496},10.657102260852971,8.7201046741152233,7.164918288458737,9.4891844317845937,11.680720454432686,null,null,null,{"$f":"P567","v":17.726692033998496},10.657102260852971,8.7201046741152233,7.164918288458737,9.4891844317845937,11.680720454432686,null,null,null,{"$f":"G567*$AU$198","v":16.840357432298571},10.124247147810323,8.2840994404094612,6.8066723740357995,9.0147252101953637,11.096684431711051,null,null,null,{"$f":"G567","v":17.726692033998496},10.657102260852971,8.7201046741152233,7.164918288458737,9.4891844317845937,11.680720454432686,null,null,null,{"$f":"Y567*$AU$198","v":16.840357432298571},{"$f":"Z567*$AU$198","v":10.124247147810323},{"$f":"AA567*$AU$198","v":8.2840994404094612},{"$f":"AB567*$AU$198","v":6.8066723740357995},{"$f":"AC567*$AU$198","v":9.0147252101953637},{"$f":"AD567*$AU$198","v":11.096684431711051}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G507 / 'Speed-Vol., non-Cordon'!$Y$4)^G537,'Speed-Vol., non-Cordon'!$Y$6)","v":54.875006119648532},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H507 / 'Speed-Vol., non-Cordon'!$Y$4)^H537,'Speed-Vol., non-Cordon'!$Y$6)","v":30.350626275655877},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I507 / 'Speed-Vol., non-Cordon'!$Y$4)^I537,'Speed-Vol., non-Cordon'!$Y$6)","v":20.396022617678295},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J507 / 'Speed-Vol., non-Cordon'!$Y$4)^J537,'Speed-Vol., non-Cordon'!$Y$6)","v":18.915047980944827},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K507 / 'Speed-Vol., non-Cordon'!$Y$4)^K537,'Speed-Vol., non-Cordon'!$Y$6)","v":24.17854084543249},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L507 / 'Speed-Vol., non-Cordon'!$Y$4)^L537,'Speed-Vol., non-Cordon'!$Y$6)","v":32.214011672312139},null,null,{"$f":"ROW()","v":568},54.875006119648532,30.350626275655877,20.396022617678295,18.915047980944827,24.17854084543249,32.214011672312139,null,"Avgs are wghtd by periods' cordon VMT.",null,54.875006119648532,30.350626275655877,20.396022617678295,18.915047980944827,24.17854084543249,32.214011672312139,null,"Avgs are wghtd by periods' cordon VMT.",null,54.875006119648532,30.350626275655877,20.396022617678295,18.915047980944827,24.17854084543249,32.214011672312139,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G568*$AV$198","v":54.326256058452046},30.047120012899317,20.192062391501512,18.725897501135378,23.936755436978164,31.891871555589017,null,"Avgs are wghtd by periods' cordon VMT.",null,54.875006119648532,30.350626275655877,20.396022617678295,18.915047980944827,24.17854084543249,32.214011672312139,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y568*$AV$198","v":54.326256058452046},{"$f":"Z568*$AV$198","v":30.047120012899317},{"$f":"AA568*$AV$198","v":20.192062391501512},{"$f":"AB568*$AV$198","v":18.725897501135378},{"$f":"AC568*$AV$198","v":23.936755436978164},{"$f":"AD568*$AV$198","v":31.891871555589017},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":569}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":571},{"$f":"($I$99)*60/P567","v":5.0770893874269714},8.4450723843196567,10.320977025328169,12.561203963061541,9.484482111923084,7.7050041862654233,null,{"$f":"SUMPRODUCT(P$562:V$562,P571:V571)/W$562","v":8.7140152208519286},null,{"$f":"($J$99)*60/Y567","v":5.0770893874269714},8.4450723843196567,10.320977025328169,12.561203963061541,9.484482111923084,7.7050041862654233,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y571:AE571)/AF$562","v":8.9390107923840656},null,{"$f":"($K$99)*60/AH567","v":4.7386167615985073},7.8820675586983473,9.6329118903062927,11.723790365524106,8.8521833044615477,7.1913372405143958,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH571:AN571)/AO$562","v":7.9492034728680574},null,{"$f":"($L$99)*60/AQ567","v":5.3443046183441805},8.8895498782312163,10.864186342450706,13.222319961117412,9.9836653809716687,8.1105307223846559,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ571:AW571)/AX$562","v":8.7788298448387572},null,{"$f":"($M$99)*60/AZ567","v":10.154178774853943},16.890144768639313,20.641954050656338,25.122407926123081,18.968964223846168,15.410008372530847,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ571:BF571)/BG$562","v":17.545142488375959},null,{"$f":"($L$99)*60/BI567","v":5.3443046183441805},8.8895498782312163,10.864186342450706,13.222319961117412,9.9836653809716687,8.1105307223846559,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI571:BO571)/BP$562","v":8.7510865508329836}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":572},{"$f":"60*$I$99/(1/($P$152/$P567+$Q$152/$Q567+$R$152/$R567+$S$152/$S567+$T$152/$T567+$U$152/$U567))","v":8.6730805151864381},8.6730805151864381,8.6730805151864381,8.6730805151864381,8.6730805151864381,8.6730805151864381,null,{"$f":"SUMPRODUCT(P$463:V$463,P572:V572)/W$463","v":8.6730805151864381},null,{"$f":"60*$J$99/(1/($Y$152/$Y567+$Z$152/$Z567+$AA$152/$AA567+$AB$152/$AB567+$AC$152/$AC567+$AD$152/$AD567))","v":8.6730805151864399},8.6730805151864399,8.6730805151864399,8.6730805151864399,8.6730805151864399,8.6730805151864399,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y572:AE572)/AF$463","v":8.6730805151864399},null,{"$f":"AH571","v":4.7386167615985073},7.8820675586983473,9.6329118903062927,11.723790365524106,8.8521833044615477,7.1913372405143958,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH572:AN572)/AO$463","v":7.7520013944138038},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ567+$BA$152/$BA567+$BB$152/$BB567+$BC$152/$BC567+$BD$152/$BD567+$BE$152/$BE567))","v":17.34616103037288},17.34616103037288,17.34616103037288,17.34616103037288,17.34616103037288,17.34616103037288,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ572:BF572)/BG$463","v":17.346161030372883}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573},{"$f":"($I$93)*60/P568","v":18.431242820818845},33.324339122333498,49.58881354193619,53.471424635246471,41.831083565004548,31.396728009956934,null,{"$f":"SUMPRODUCT(P$562:V$562,P573:V573)/W$562","v":37.87376292330066},null,{"$f":"($J$93)*60/Y568","v":18.431242820818845},33.324339122333498,49.58881354193619,53.471424635246471,41.831083565004548,31.396728009956934,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y573:AE573)/AF$562","v":38.495814336094611},null,{"$f":"($K$93)*60/AH568","v":27.646864231228271},49.986508683500254,74.383220312904285,80.207136952869718,62.746625347506829,47.09509201493541,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH573:AN573)/AO$562","v":54.48538729484207},null,{"$f":"($L$93)*60/AQ568","v":6.6266300334162533},11.981181552356796,17.828788016796032,19.224712726221675,15.039632290509266,11.288142791259624,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ573:AW573)/AX$562","v":12.761893840465191},null,{"$f":"($M$93)*60/AZ568","v":17.22937219521128},31.151314508731332,46.355209658889095,49.984642153823096,39.103348324203203,29.349399704307658,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ573:BF573)/BG$562","v":35.197328881379427},null,{"$f":"($L$93)*60/BI568","v":6.6266300334162533},11.981181552356796,17.828788016796032,19.224712726221675,15.039632290509266,11.288142791259624,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI573:BO573)/BP$562","v":12.706027233089612}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574},{"$f":"60*$I$93/(1/($P$152/$P568+$Q$152/$Q568+$R$152/$R568+$S$152/$S568+$T$152/$T568+$U$152/$U568))","v":37.247921451972665},37.247921451972665,37.247921451972665,37.247921451972665,37.247921451972665,37.247921451972665,null,{"$f":"SUMPRODUCT(P$562:V$562,P574:V574)/W$562","v":37.247921451972665},null,{"$f":"60*$J$93/(1/($Y$152/$Y568+$Z$152/$Z568+$AA$152/$AA568+$AB$152/$AB568+$AC$152/$AC568+$AD$152/$AD568))","v":37.247921451972672},37.247921451972672,37.247921451972672,37.247921451972672,37.247921451972672,37.247921451972672,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y574:AE574)/AF$562","v":37.247921451972672},null,{"$f":"AH573","v":27.646864231228271},49.986508683500254,74.383220312904285,80.207136952869718,62.746625347506829,47.09509201493541,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH574:AN574)/AO$562","v":54.48538729484207},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ568+$BA$152/$BA568+$BB$152/$BB568+$BC$152/$BC568+$BD$152/$BD568+$BE$152/$BE568))","v":34.819046573958616},34.819046573958616,34.819046573958616,34.819046573958616,34.819046573958616,34.819046573958616,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ574:BF574)/BG$562","v":34.819046573958609}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575},{"$f":"SUM(P571:P574)","v":69.429334175404918},87.690413473812256,105.83079253442347,111.95363056546711,97.236567644086733,85.022734163381472,null,{"$f":"SUM(W571:W574)","v":92.508780111311694},null,{"$f":"SUM(Y571:Y574)","v":69.429334175404932},87.690413473812271,105.83079253442347,111.95363056546712,97.236567644086747,85.022734163381472,null,{"$f":"SUM(AF571:AF574)","v":93.355827095637792},null,{"$f":"SUM(AH571:AH574)","v":64.770961985653557},115.7371524843972,168.03226440642115,183.86185463678765,143.19761730393677,108.57285851089961,null,{"$f":"SUM(AO571:AO574)","v":124.671979456966},null,{"$f":"AQ571+AQ573","v":11.970934651760434},20.870731430588013,28.69297435924674,32.447032687339089,25.023297671480933,19.39867351364428,null,{"$f":"AX571+AX573","v":21.540723685303949},null,{"$f":"SUM(AZ571:AZ574)","v":79.548758574396714},100.20666688170215,119.16237131387693,127.27225768427766,110.23752015238087,96.924615681169996,null,{"$f":"SUM(BG571:BG574)","v":104.90767897408688},null,{"$f":"BI571+BI573","v":11.970934651760434},20.870731430588013,28.69297435924674,32.447032687339089,25.023297671480933,19.39867351364428,null,{"$f":"BP571+BP573","v":21.457113783922594}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,"Total cordon round-trip minutes -- average of this and previous round with new tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577},{"$f":"AVERAGE(P575,P515)","v":66.465937278279398},86.174178880457077,97.095239903652583,103.83082313645014,89.720143257920256,80.230699090199749,null,{"$f":"AVERAGE(W575,W515)","v":86.253469285113226},null,{"$f":"AVERAGE(Y575,Y515)","v":66.465937278279412},86.174178880457106,97.095239903652597,103.83082313645015,89.720143257920256,80.230699090199749,null,{"$f":"AVERAGE(AF575,AF515)","v":87.269294492513353},null,{"$f":"AVERAGE(AH575,AH515)","v":64.638073924429989},119.87494148890768,151.46599730732572,169.25132212615583,130.1603961552085,103.24960489404158,null,{"$f":"AVERAGE(AO575,AO515)","v":116.30330818065474},null,{"$f":"AVERAGE(AQ575,AQ515)","v":11.923898731738127},21.387301661551689,26.030601427753236,29.933104095487586,22.877727530143819,18.513437462857254,null,{"$f":"AVERAGE(AX575,AX515)","v":20.29252563569834},null,{"$f":"AVERAGE(AZ575,AZ515)","v":76.236526417767706},98.313783431884744,109.62437060488344,118.19660999891057,101.95977466846784,91.625204359346185,null,{"$f":"AVERAGE(BG575,BG515)","v":98.507600137483053},null,{"$f":"AVERAGE(BI575,BI515)","v":11.923898731738127},21.387301661551689,26.030601427753236,29.933104095487586,22.877727530143819,18.513437462857254,null,{"$f":"AVERAGE(BP575,BP515)","v":20.219721887368461}]
[null,"Averaging is applied to smooth fluctuations and help the calculated cordon entries converge toward equilibrium.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,"Ratio, average cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"(figures are shown for different trip types and time periods, at right)",null,null,null,null,null,null,null,{"$f":"ROW()","v":579},{"$f":"P577/P515","v":1.0466658007591298},1.0179101277041778,1.0988635530566424,1.0848707119145311,1.0914365492137026,1.063522268529314,null,{"$f":"W577/W515","v":1.0781931852770217},null,{"$f":"Y577/Y515","v":1.0466658007591298},1.017910127704178,1.0988635530566424,1.0848707119145311,1.0914365492137024,1.063522268529314,null,{"$f":"AF577/AF515","v":1.074973214281836},null,{"$f":"AH577/AH515","v":1.0020601143837551},0.96663415934761565,1.1228043011911431,1.0944804572387228,1.1113120537246957,1.0543597667781004,null,{"$f":"AO577/AO515","v":1.077534622029886},null,{"$f":"AQ577/AQ515","v":1.0039602983353404},0.97641648775620415,1.1139313119913921,1.0916850541883774,1.1034899601184538,1.0502170374670723,null,{"$f":"AX577/AX515","v":1.0655417233274813},null,{"$f":"AZ577/AZ515","v":1.0454201468823003},1.0196314642382456,1.0952976985668974,1.0831705246448387,1.0883600147858212,1.0613885043548963,null,{"$f":"BG577/BG515","v":1.0694848666668304},null,{"$f":"BI577/BI515","v":1.0039602983353404},0.97641648775620415,1.1139313119913921,1.0916850541883774,1.1034899601184538,1.0502170374670723,null,{"$f":"BP577/BP515","v":1.0651865127807236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,"Speeds (calculated as average of the speeds calculated in this and the prior traffic rounds (#2 and #1), to help the calculated cordon entries converge toward equilibrium)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G567,G483)","v":17.859697212840096},10.625803826552671,9.5398937265109183,7.7800635199867685,10.315615966372137,12.17091145878215,null,null,{"$f":"ROW()","v":582},{"$f":"G582","v":17.859697212840096},10.625803826552671,9.5398937265109183,7.7800635199867685,10.315615966372137,12.17091145878215,null,null,null,{"$f":"G582","v":17.859697212840096},10.625803826552671,9.5398937265109183,7.7800635199867685,10.315615966372137,12.17091145878215,null,null,null,{"$f":"P582","v":17.859697212840096},10.625803826552671,9.5398937265109183,7.7800635199867685,10.315615966372137,12.17091145878215,null,null,null,{"$f":"G582*$AU$198","v":16.96671235219809},10.094513635225036,9.0628990401853713,7.3910603439874301,9.7998351680535301,11.562365885843041,null,null,null,{"$f":"G582","v":17.859697212840096},10.625803826552671,9.5398937265109183,7.7800635199867685,10.315615966372137,12.17091145878215,null,null,null,{"$f":"Y582*$AU$198","v":16.96671235219809},{"$f":"Z582*$AU$198","v":10.094513635225036},{"$f":"AA582*$AU$198","v":9.0628990401853713},{"$f":"AB582*$AU$198","v":7.3910603439874301},{"$f":"AC582*$AU$198","v":9.7998351680535301},{"$f":"AD582*$AU$198","v":11.562365885843041}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G568,G507)","v":54.937503059824266},29.202546957542708,22.980984615447753,20.726400784282134,26.956432157987642,34.027736669026922,null,null,{"$f":"ROW()","v":583},54.937503059824266,29.202546957542708,22.980984615447753,20.726400784282134,26.956432157987642,34.027736669026922,null,null,null,54.937503059824266,29.202546957542708,22.980984615447753,20.726400784282134,26.956432157987642,34.027736669026922,null,null,null,54.937503059824266,29.202546957542708,22.980984615447753,20.726400784282134,26.956432157987642,34.027736669026922,null,null,null,{"$f":"G583*$AV$198","v":54.388128029226024},28.91052148796728,22.751174769293275,20.519136776439314,26.686867836407764,33.687459302336656,null,null,null,54.937503059824266,29.202546957542708,22.980984615447753,20.726400784282134,26.956432157987642,34.027736669026922,null,null,null,{"$f":"Y583*$AV$198","v":54.388128029226024},{"$f":"Z583*$AV$198","v":28.91052148796728},{"$f":"AA583*$AV$198","v":22.751174769293275},{"$f":"AB583*$AV$198","v":20.519136776439314},{"$f":"AC583*$AV$198","v":26.686867836407764},{"$f":"AD583*$AV$198","v":33.687459302336656}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":584}]
[null,"Traffic-Rebound Factors for cordon entries for next round (see notes interspersed between rows, in column blocks at right)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":585},{"$f":"P579^Elasticities!$G$67","v":0.95541480315370586},{"$f":"Q579^Elasticities!$G$67","v":0.98240500097530936},{"$f":"R579^Elasticities!$G$67","v":0.91003109277613259},{"$f":"S579^Elasticities!$G$67","v":0.92176882371102531},{"$f":"T579^Elasticities!$G$67","v":0.91622366936531885},{"$f":"U579^Elasticities!$G$67","v":0.94027180209667316},null,null,null,{"$f":"Y579^Elasticities!$H$67","v":0.95541480315370586},{"$f":"Z579^Elasticities!$H$67","v":0.98240500097530914},{"$f":"AA579^Elasticities!$H$67","v":0.91003109277613259},{"$f":"AB579^Elasticities!$H$67","v":0.92176882371102531},{"$f":"AC579^Elasticities!$H$67","v":0.91622366936531907},{"$f":"AD579^Elasticities!$H$67","v":0.94027180209667316},null,null,null,{"$f":"AH579^Elasticities!$J$67","v":0.99794412096222185},{"$f":"AI579^Elasticities!$J$67","v":1.0345175476468813},{"$f":"AJ579^Elasticities!$J$67","v":0.8906271546512029},{"$f":"AK579^Elasticities!$J$67","v":0.91367551918004219},{"$f":"AL579^Elasticities!$J$67","v":0.89983726591318802},{"$f":"AM579^Elasticities!$J$67","v":0.9484428669502325},null,null,null,{"$f":"P579^Elasticities!$G$69","v":0.97300524100585672},{"$f":"Q579^Elasticities!$G$69","v":0.98940554220769028},{"$f":"R579^Elasticities!$G$69","v":0.9450041997659907},{"$f":"S579^Elasticities!$G$69","v":0.95229873873870485},{"$f":"T579^Elasticities!$G$69","v":0.94885730221725861},{"$f":"U579^Elasticities!$G$69","v":0.96372260820110567},null,null,null,{"$f":"AZ579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98530278771775059},{"$f":"BA579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99354053514107776},{"$f":"BB579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97011363416870244},{"$f":"BC579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97372066912969391},{"$f":"BD579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97217057955692365},{"$f":"BE579^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98033657712423661},null,null,null,{"$f":"AH579^Elasticities!$G$69","v":0.99876596489348834},{"$f":"AI579^Elasticities!$G$69","v":1.0205698097243936},{"$f":"AJ579^Elasticities!$G$69","v":0.93286233702450272},{"$f":"AK579^Elasticities!$G$69","v":0.94727307495462709},{"$f":"AL579^Elasticities!$G$69","v":0.93863854630250532},{"$f":"AM579^Elasticities!$G$69","v":0.96873882298104907}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586},"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto non-work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for auto through-trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" durations of trips into cordon, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round (see notes interspersed between rows, in column blocks at right)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587},{"$f":"(P483/P582)^Elasticities!$G$67","v":0.99260782644284196},{"$f":"(Q483/Q582)^Elasticities!$G$67","v":1.0029542138251388},{"$f":"(R483/R582)^Elasticities!$G$67","v":0.92086735956192889},{"$f":"(S483/S582)^Elasticities!$G$67","v":0.92672663066096628},{"$f":"(T483/T582)^Elasticities!$G$67","v":0.92582767803526578},{"$f":"(U483/U582)^Elasticities!$G$67","v":0.96128370291790366},null,null,null,{"$f":"(Y483/Y582)^Elasticities!$H$67","v":0.99260782644284196},{"$f":"(Z483/Z582)^Elasticities!$H$67","v":1.0029542138251388},{"$f":"(AA483/AA582)^Elasticities!$H$67","v":0.92086735956192889},{"$f":"(AB483/AB582)^Elasticities!$H$67","v":0.92672663066096628},{"$f":"(AC483/AC582)^Elasticities!$H$67","v":0.92582767803526578},{"$f":"(AD483/AD582)^Elasticities!$H$67","v":0.96128370291790366},null,null,null,{"$f":"(AH483/AH582)^Elasticities!$J$67","v":0.99260782644284196},{"$f":"(AI483/AI582)^Elasticities!$J$67","v":1.0029542138251388},{"$f":"(AJ483/AJ582)^Elasticities!$J$67","v":0.92086735956192889},{"$f":"(AK483/AK582)^Elasticities!$J$67","v":0.92672663066096628},{"$f":"(AL483/AL582)^Elasticities!$J$67","v":0.92582767803526578},{"$f":"(AM483/AM582)^Elasticities!$J$67","v":0.96128370291790366},null,null,null,{"$f":"(P483/P582)^Elasticities!$G$69","v":0.99555811583666154},{"$f":"(Q483/Q582)^Elasticities!$G$69","v":1.0017714824508328},{"$f":"(R483/R582)^Elasticities!$G$69","v":0.95173983646035176},{"$f":"(S483/S582)^Elasticities!$G$69","v":0.95536864982637115},{"$f":"(T483/T582)^Elasticities!$G$69","v":0.95481250015609009},{"$f":"(U483/U582)^Elasticities!$G$69","v":0.97658702011545695},null,null,null,{"$f":"(AZ483/AZ582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99752984550841872},{"$f":"(BA483/BA582)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0009837698212867},{"$f":"(BB483/BB582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97289437667234735},{"$f":"(BC483/BC582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9749534514392354},{"$f":"(BD483/BD582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97463810475591395},{"$f":"(BE483/BE582)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9869243399479487},null,null,null,{"$f":"(AH483/AH582)^Elasticities!$G$69","v":0.99555811583666154},{"$f":"(AI483/AI582)^Elasticities!$G$69","v":1.0017714824508328},{"$f":"(AJ483/AJ582)^Elasticities!$G$69","v":0.95173983646035176},{"$f":"(AK483/AK582)^Elasticities!$G$69","v":0.95536864982637115},{"$f":"(AL483/AL582)^Elasticities!$G$69","v":0.95481250015609009},{"$f":"(AM483/AM582)^Elasticities!$G$69","v":0.97658702011545695}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":588},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rbnd Factors for non-cordon travel for next round (ditto)",null,null,null,null,{"$f":"($I$85*$I$93*P589+$J$85*$J$93*Y589+$K$85*$K$93*AH589+$L$85*$L$93*AQ589+$M$85*$M$93*AZ589+$N$85*$N$93*BI589)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.99891216836220764},1.0391601707063352,0.9030952224350226,0.92299125479230537,0.91046954207600139,0.95152852744737015,null,null,{"$f":"ROW()","v":589},{"$f":"(P507/P583)^Elasticities!$G$67","v":0.9988636919968048},{"$f":"(Q507/Q583)^Elasticities!$G$67","v":1.0409232259499226},{"$f":"(R507/R583)^Elasticities!$G$67","v":0.89889042495171811},{"$f":"(S507/S583)^Elasticities!$G$67","v":0.91963028629737376},{"$f":"(T507/T583)^Elasticities!$G$67","v":0.90657627319797074},{"$f":"(U507/U583)^Elasticities!$G$67","v":0.94939589758839593},null,null,null,{"$f":"(Y507/Y583)^Elasticities!$H$67","v":0.9988636919968048},{"$f":"(Z507/Z583)^Elasticities!$H$67","v":1.0409232259499226},{"$f":"(AA507/AA583)^Elasticities!$H$67","v":0.89889042495171811},{"$f":"(AB507/AB583)^Elasticities!$H$67","v":0.91963028629737376},{"$f":"(AC507/AC583)^Elasticities!$H$67","v":0.90657627319797074},{"$f":"(AD507/AD583)^Elasticities!$H$67","v":0.94939589758839593},null,null,null,{"$f":"(AH507/AH583)^Elasticities!$J$67","v":0.9988636919968048},{"$f":"(AI507/AI583)^Elasticities!$J$67","v":1.0409232259499226},{"$f":"(AJ507/AJ583)^Elasticities!$J$67","v":0.89889042495171811},{"$f":"(AK507/AK583)^Elasticities!$J$67","v":0.91963028629737376},{"$f":"(AL507/AL583)^Elasticities!$J$67","v":0.90657627319797074},{"$f":"(AM507/AM583)^Elasticities!$J$67","v":0.94939589758839593},null,null,null,{"$f":"(P507/P583)^Elasticities!$G$69","v":0.99931806017235836},{"$f":"(Q507/Q583)^Elasticities!$G$69","v":1.0243567165639544},{"$f":"(R507/R583)^Elasticities!$G$69","v":0.93804582009589188},{"$f":"(S507/S583)^Elasticities!$G$69","v":0.95097250221361818},{"$f":"(T507/T583)^Elasticities!$G$69","v":0.9428500081120097},{"$f":"(U507/U583)^Elasticities!$G$69","v":0.96932276052145572},null,null,null,{"$f":"(AZ507/AZ583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99962108710875652},{"$f":"(BA507/BA583)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0134591148479264},{"$f":"(BB507/BB583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96509244998339638},{"$f":"(BC507/BC583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.97245852636595076},{"$f":"(BD507/BD583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.96783528077896519},{"$f":"(BE507/BE583)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98283915588382653},null,null,null,{"$f":"(AH507/AH583)^Elasticities!$G$69","v":0.99931806017235836},{"$f":"(AI507/AI583)^Elasticities!$G$69","v":1.0243567165639544},{"$f":"(AJ507/AJ583)^Elasticities!$G$69","v":0.93804582009589188},{"$f":"(AK507/AK583)^Elasticities!$G$69","v":0.95097250221361818},{"$f":"(AL507/AL583)^Elasticities!$G$69","v":0.9428500081120097},{"$f":"(AM507/AM583)^Elasticities!$G$69","v":0.96932276052145572}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 3 • (Rebound Effect 2)",null,null,null,null,null,null,"Note: This Section is first whose architecture is duplicated in succeeding iterations. ",null,null,null,null,null,{"$f":"ROW()","v":591},"Graveyard","A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592},"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,"Period entries with first rebound effect but before second",null,null,null,null,{"$f":"P594+Y594+AH594+AQ594+AZ594+BI594","v":129720.19101772743},54406.293054734015,133853.94659405827,90833.075357132242,51115.075018782678,40142.345208853665,null,{"$f":"SUM(G594:M594)","v":500070.92625128827},{"$f":"ROW()","v":594},{"$f":"P544","v":25726.526788981064},2555.8352904376511,29571.7663532224,8423.1558286609252,11615.894713320464,589.40629018229129,null,{"$f":"SUM(P594:V594)","v":78482.585264804788},null,{"$f":"Y544","v":45570.011027875138},28842.161168873503,55224.475522571265,49262.104788828146,19809.28964011226,21304.856979302185,null,{"$f":"SUM(Y594:AE594)","v":220012.8991275625},null,{"$f":"AH544","v":30734.458758583754},13831.399103077185,20468.911996527811,13376.48713191657,7274.7284173477428,7189.0837708632916,null,{"$f":"SUM(AH594:AN594)","v":92875.069178316349},null,{"$f":"AQ544","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ594:AW594)","v":33794.15699001529},null,{"$f":"AZ544","v":3980.9608075196998},2325.2810631737598,3767.6945987656004,2885.4637800827354,1557.7301080425477,1608.5370868043701,null,{"$f":"SUM(AZ594:BF594)","v":16125.667444388713},null,{"$f":"BI544","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI594:BO594)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O544,\".\")","v":"Above row repeats figures in Row 544."},null,null,null,null,"Rows above and below are sums of respective figures in column blocks to riight. See notes there.",null,null,null,null,null,null,null,{"$f":"ROW()","v":595},{"$f":"CONCATENATE(\"Figures in Row \",O596, \" are product of figures in Row \",O594, \" and rebound factors in Row \",O585, \".\")","v":"Figures in Row 596 are product of figures in Row 594 and rebound factors in Row 585."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O596, \" figures are set equal to Row \",$O594, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 596 figures are set equal to Row 594 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O596, \" figures are set equal to Row \",$O594, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 596 figures are set equal to Row 594 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P596+Y596+AH596+AQ596+AZ596+BI596","v":126419.72548912898},54316.251243904,123873.57553042867,85089.743200241384,47710.380969999555,38432.362425916843,null,{"$f":"SUM(G596:M596)","v":475842.03885961935},{"$f":"ROW()","v":596},{"$f":"P594*P585","v":24579.504527922883},2510.8653709951309,26911.226849743449,7764.2024401194476,10642.757677199685,554.20211463681767,null,{"$f":"SUM(P596:V596)","v":72962.758980617422},null,{"$f":"Y594*Y585","v":43538.263115909533},28334.683371237195,50255.989807794314,45408.272384727388,18149.740041584057,20032.35626534035,null,{"$f":"SUM(Y596:AE596)","v":205719.30498659285},null,{"$f":"AH594*AH585","v":30671.272429084525},14308.825080640683,18230.168850273436,12221.768825059025,6546.0717293271664,6818.4352223829683,null,{"$f":"SUM(AH596:AN596)","v":88796.542136767806},null,{"$f":"AQ594","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ596:AW596)","v":33794.15699001529},null,{"$f":"AZ594*AZ585","v":3922.4517814442679},2310.2609918590715,3655.0918996462879,2809.6357226916571,1514.3793819289929,1576.9077418551872,null,{"$f":"SUM(AZ596:BF596)","v":15788.727519425465},null,{"$f":"BI594","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI596:BO596)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,192446.13866295142,83508.885845580531,189469.9842600851,130626.89150189367,73182.533354960105,59332.061729419758,null,{"$f":"SUM(G597:M597)","v":728566.49535489059},{"$f":"ROW()","v":597},{"$f":"P596*$I$99","v":36869.256791884327},3766.2980564926966,40366.84027461517,11646.303660179172,15964.136515799528,831.3031719552265,null,{"$f":"SUM(P597:V597)","v":109444.13847092612},null,{"$f":"Y596*$J$99","v":65307.394673864299},42502.025056855797,75383.984711691475,68112.40857709109,27224.610062376087,30048.534398010524,null,{"$f":"SUM(Y597:AE597)","v":308578.95747988927},null,{"$f":"AH596*$K$99","v":42939.781400718341},20032.355112896959,25522.236390382812,17110.476355082636,9164.5004210580337,9545.8093113361556,null,{"$f":"SUM(AH597:AN597)","v":124315.15899147493},null,{"$f":"AQ596*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ597:AW597)","v":50691.235485022939},null,{"$f":"AZ596*$M$99","v":11767.355344332804},6930.7829755772145,10965.275698938864,8428.9071680749712,4543.1381457869784,4730.7232255655617,null,{"$f":"SUM(AZ597:BF597)","v":47366.182558276392},null,{"$f":"BI596*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI597:BO597)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":598},{"$f":"CONCATENATE(\"Figures in Row \",O597, \" are product of trips in Row \",O596, \" and CBD miles for that trip type in Row \",O96, \".\")","v":"Figures in Row 597 are product of trips in Row 596 and CBD miles for that trip type in Row 96."}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":599}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P600+Y600+AH600+AQ600+AZ600+BI600","v":143965.33768206835},44107.720672560543,132554.63714473898,85658.832931459823,48586.206984676472,45198.190835784102,null,{"$f":"SUM(G600:M600)","v":500070.92625128827},{"$f":"ROW()","v":600},{"$f":"P$152*$W594","v":23161.167970050137},7175.4171624773244,20749.165823165571,13245.47353631626,7266.4521435588631,6884.9086292366201,null,{"$f":"W$152*$W594","v":78482.585264804773},null,{"$f":"Y$152*$AF594","v":64928.489486907172},20115.090845182182,58166.841877473016,37131.486217098391,20370.292302195776,19300.698398705958,null,{"$f":"SUM(Y600:AE600)","v":220012.8991275625},null,{"$f":"AH$152*$AO594","v":27408.565482534661},8491.2769259553479,24554.239704474305,15674.487108627374,8599.006304862367,8147.4936518622962,null,{"$f":"SUM(AH600:AN600)","v":92875.069178316364},null,{"$f":"AQ594","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ600:AW600)","v":33794.15699001529},null,{"$f":"AZ$152*$BG594","v":4758.8811078085882},1474.3193097737778,4263.2916166548785,2721.5222417739587,1493.0240940998037,1414.629074277706,null,{"$f":"SUM(AZ600:BF600)","v":16125.667444388713},null,{"$f":"BI594","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI600:BO600)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right is product of period's % of total exits in Row \",$O$152,\" times 24-h entries for trip type in Row \",O594,\"; except taxicabs, where each fig. is corresp. # of entries for period.\")","v":"Each fig. in column blocks to right is product of period's % of total exits in Row 152 times 24-h entries for trip type in Row 594; except taxicabs, where each fig. is corresp. # of entries for period."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":601}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":602},{"$f":"P600*$W596/$W594","v":21532.199921887568},6670.7567194017693,19289.838374926774,12313.894731596969,6755.3890408402931,6400.6801919640366,null,{"$f":"SUM(P602:V602)","v":72962.758980617422},null,{"$f":"Y600*$AF596/$AF594","v":60710.275552214276},18808.272264135863,54387.91239854048,34719.162230901151,19046.894029389558,18046.788511411512,null,{"$f":"SUM(Y602:AE602)","v":205719.30498659285},null,{"$f":"AH600*$AO596/$AO594","v":26204.942416844708},8118.3899621427645,23475.961846860129,14986.155782464914,8221.3885000509144,7789.7036284043797,null,{"$f":"SUM(AH602:AN602)","v":88796.542136767806},null,{"$f":"AQ600*$AX596/$AX594","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ602:AW602)","v":33794.15699001529},null,{"$f":"AZ600*$BG596/$BG594","v":4659.4460271271992},1443.5139468751461,4174.2116971807864,2664.6570296460591,1461.8279015720111,1385.0709170242635,null,{"$f":"SUM(AZ602:BF602)","v":15788.727519425465},null,{"$f":"BI600*$AX596/$AX594","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI602:BO602)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Each fig. in column blocks to right prorates pre-toll # of exits, in Row \",O600,\", by ratio of (i) sum of post-tolls entries for trip type, in Row \",O596,\", to (ii) sum of pre-tolls entries for trip type, in Row \",O594,\".\")","v":"Each fig. in column blocks to right prorates pre-toll # of exits, in Row 600, by ratio of (i) sum of post-tolls entries for trip type, in Row 596, to (ii) sum of pre-tolls entries for trip type, in Row 594."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P604+Y604+AH604+AQ604+AZ604+BI604","v":200700.73351523074},61622.899745750154,183829.34322569001,118520.77143423556,66813.463367586723,62363.769602816479,null,{"$f":"SUM(G604:M604)","v":693850.98089130956},{"$f":"ROW()","v":604},{"$f":"P602*$I$99","v":32298.29988283135},10006.135079102654,28934.757562390161,18470.842097395453,10133.083561260439,9601.0202879460558,null,{"$f":"SUM(P604:V604)","v":109444.13847092612},null,{"$f":"Y602*$J$99","v":91065.413328321418},28212.408396203795,81581.868597810724,52078.743346351723,28570.341044084336,27070.182767117269,null,{"$f":"SUM(Y604:AE604)","v":308578.95747988927},null,{"$f":"AH602*$K$99","v":36686.919383582594},11365.745946999872,32866.346585604188,20980.618095450882,11509.943900071281,10905.585079766133,null,{"$f":"SUM(AH604:AN604)","v":124315.15899147498},null,{"$f":"AQ602*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR602*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS602*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT602*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU602*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV602*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ604:AW604)","v":38018.426613767202},null,{"$f":"AZ602*$M$99","v":13978.338081381597},4330.5418406254385,12522.635091542359,7993.9710889381768,4385.4837047160336,4155.2127510727905,null,{"$f":"SUM(AZ604:BF604)","v":47366.182558276392},null,{"$f":"BI602*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ602*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK602*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL602*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM602*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN602*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI604:BO604)","v":66128.116776975658}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O604, \" are product of trips in Row \",O602, \" and CBD miles for that trip type in Row \",O96, \" (see column blocks to right).\")","v":"Figures in Row 604 are product of trips in Row 602 and CBD miles for that trip type in Row 96 (see column blocks to right)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":605},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":606}]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":607},{"$f":"CONCATENATE(\"Figs. in Row \",O608, \" repeat figs. for same column in Row \",O558, \"; figs. in Row \",O609, \" multiply those figs. by intra-cordon rebound factor in Row \",O587,\".\")","v":"Figs. in Row 608 repeat figs. for same column in Row 558; figs. in Row 609 multiply those figs. by intra-cordon rebound factor in Row 587."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O609, \" figures are set equal to Row \",$O608, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 609 figures are set equal to Row 608 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O609, \" figures are set equal to Row \",$O608, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 609 figures are set equal to Row 608 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P608+Y608+AH608+AQ608+AZ608+BI608","v":537634.2791402213},124028.59642839734,357512.93617488293,226200.13750779134,145189.27012430067,137427.55068843177,null,{"$f":"SUM(G608:M608)","v":1527992.7700640254},{"$f":"ROW()","v":608},{"$f":"P558","v":9371.4321046525583},2971.5644489657866,12389.383084758443,7482.6924419910538,4491.0378044546751,3466.583163650062,null,{"$f":"SUM(P608:V608)","v":40172.693048472574},null,{"$f":"Y558","v":28102.552664703726},8910.9695819237186,37152.623711562599,22438.700518401747,13467.485546441148,10395.405401772679,null,{"$f":"SUM(Y608:AE608)","v":120467.73742480561},null,{"$f":"AH558","v":0},0,0,0,0,0,null,{"$f":"SUM(AH608:AN608)","v":0},null,{"$f":"AQ558","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ608:AW608)","v":510435.42163078324},null,{"$f":"AZ558","v":5239.3233325503579},1752.6783242050099,5896.5501919142989,3674.9715991215844,2148.9588274935772,1768.4534131740413,null,{"$f":"SUM(AZ608:BF608)","v":20480.935688458871},null,{"$f":"BI558","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI608:BO608)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537344.32300286519,124065.42420675086,353432.71669605456,223915.65087564924,143802.74307964009,136867.74212533567,null,{"$f":"SUM(G609:M609)","v":1519428.5999862957},{"$f":"ROW()","v":609},{"$f":"P608*P587","v":9302.156852055843},2980.3430857432122,11408.978487862732,6934.4103550386471,4157.9271024668697,3332.3699000263928,null,{"$f":"SUM(P609:V609)","v":38116.185783193694},null,{"$f":"Y608*Y587","v":27894.813718007063},8937.2944914580294,34212.63849806456,20794.541327828927,12468.570872435112,9992.9337979488191,null,{"$f":"SUM(Y609:AE609)","v":114300.7927057425},null,{"$f":"AH608*AH587","v":0},0,0,0,0,0,null,{"$f":"SUM(AH609:AN609)","v":0},null,{"$f":"AQ608","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ609:AW609)","v":510435.42163078324},null,{"$f":"AZ608*AZ587","v":5226.3813944876119},1754.4025562467859,5736.720523479672,3582.9262445047548,2094.4571588268313,1745.3297175254877,null,{"$f":"SUM(AZ609:BF609)","v":20140.217595071146},null,{"$f":"BI608","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI609:BO609)","v":836435.98227150494}]
[null,"Difference (shows reb. eff. for intra-cordon trips, which are unaff'd by toll)",null,null,null,null,-289.95613735611732,36.827778353512485,-4080.2194788283769,-2284.4866321420564,-1386.5270446605882,-559.80856309608316,null,{"$f":"W610+AF610+AO610+AX610+BG610+BP610","v":-8564.1700777297228},{"$f":"ROW()","v":610},{"$f":"P609-P608","v":-69.275252596715291},8.7786367774256178,-980.40459689571071,-548.28208695240664,-333.11070198780544,-134.21326362366926,null,{"$f":"W609-W608","v":-2056.5072652788804},null,{"$f":"Y609-Y608","v":-207.73894669666333},26.324909534310791,-2939.9852134980392,-1644.1591905728201,-998.91467400603688,-402.47160382386028,null,{"$f":"AF609-AF608","v":-6166.9447190631181},null,{"$f":"AH609-AH608","v":0},0,0,0,0,0,null,{"$f":"AO609-AO608","v":0},null,{"$f":"AQ609-AQ608","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ609-AZ608","v":-12.941938062745976},1.7242320417760766,-159.82966843462691,-92.045354616829627,-54.5016686667459,-23.123695648553621,null,{"$f":"BG609-BG608","v":-340.71809338772437},null,{"$f":"BI609-BI608","v":0},0,0,0,0,0,null,{"$f":"BP609-BP608","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611},{"$f":"CONCATENATE(\"Figs. in Row \",O612, \" repeat figs. for same column in Row \",O562, \".\")","v":"Figs. in Row 612 repeat figs. for same column in Row 562."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O613, \" figures are set equal to Row \",$O612, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 613 figures are set equal to Row 612 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O613, \" figures are set equal to Row \",$O612, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 613 figures are set equal to Row 612 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Total Cordon VMT before second rebound effect",null,null,null,null,{"$f":"P612+Y612+AH612+AQ612+AZ612+BI612","v":942397.153958551},273212.81078495912,747030.07306158182,483994.88581520645,288233.21232611319,260780.29672477685,null,{"$f":"W612+AF612+AO612+AX612+BG612+BP612","v":2995648.4326711884},{"$f":"ROW()","v":612},{"$f":"P562","v":82702.974243199365},17568.443128338251,87870.781349340396,39985.636489456825,32814.558089773665,14678.055542778429,null,{"$f":"SUM(P612:V612)","v":275620.44884288695},null,{"$f":"Y562","v":193850.30343687721},82346.847603007263,207239.59981162904,152029.08702729156,73736.858459903204,71303.738468784883,null,{"$f":"SUM(Y612:AE612)","v":780506.43480749312},null,{"$f":"AH562","v":81400.23393756579},31251.746440645547,63032.412381402974,40671.363936761525,22223.228611094157,21471.208391815824,null,{"$f":"SUM(AH612:AN612)","v":260050.19369928582},null,{"$f":"AQ562","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ612:AW612)","v":565786.23283284309},null,{"$f":"AZ562","v":31458.849078535222},13151.479443047623,29989.508838175738,20495.92966469167,11301.221433920633,10837.951896420271,null,{"$f":"SUM(AZ612:BF612)","v":117234.94035479118},null,{"$f":"BI562","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI612:BO612)","v":996450.18213388755}]
[null,"Total Cordon VMT with second rebound effect",null,null,null,null,926320.90411384066,269712.62676812289,718400.05310341634,466947.0170129413,278373.53822030307,254448.34683324787,null,{"$f":"W613+AF613+AO613+AX613+BG613+BP613","v":2914202.4860518724},{"$f":"ROW()","v":613},{"$f":"P597+P604+P609","v":78469.71352677152},16752.776221338565,80710.576324868074,37051.556112613274,30255.147179526837,13764.693359927676,null,{"$f":"SUM(P613:V613)","v":257004.46272504595},null,{"$f":"Y597+Y604+Y609","v":184267.62172019278},79651.727944517625,191178.49180756675,140985.69325127173,68263.521978895529,67111.650963076609,null,{"$f":"SUM(Y613:AE613)","v":731458.70766552107},null,{"$f":"AH597+AH604+AH609","v":79626.700784300934},31398.101059896831,58388.582975986996,38091.094450533521,20674.444321129315,20451.394391102287,null,{"$f":"SUM(AH613:AN613)","v":248630.3179829499},null,{"$f":"AQ612","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ613:AW613)","v":565786.23283284309},null,{"$f":"AZ597+AZ604+AZ609","v":30972.074820202015},13015.727372449441,29224.631313960894,20005.804501517901,11023.079009329844,10631.265694163842,null,{"$f":"SUM(AZ613:BF613)","v":114872.58271162394},null,{"$f":"BI612","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI613:BO613)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with second rebound effect",null,null,null,null,{"$f":"G613/G$135","v":92632.090411384066},134856.31338406145,143680.01062068326,155649.00567098043,139186.76911015154,127224.17341662393,null,null,{"$f":"ROW()","v":614}]
[null,"Factor Change in VMT (ratio of previous row to preceding one)",null,null,null,null,{"$f":"G613/G612","v":0.98294110951292468},0.98718879979756458,0.96167487629938386,0.96477675838753763,0.9657927203244896,0.9757192166315708,null,null,{"$f":"ROW()","v":615},{"$f":"CONCATENATE(\"Figures in Row \",O613,\" are sums of figures in Rows \",O597,\", \",O604,\" and \",O609, \" -- inbound, oubound and intra-cordon VMT.\")","v":"Figures in Row 613 are sums of figures in Rows 597, 604 and 609 -- inbound, oubound and intra-cordon VMT."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G614/$I$198)^KSE)","v":17.958697773362129},10.940659073169732,9.5547283703644013,7.8744395846585915,10.246490203121196,12.217353994722494,null,null,{"$f":"ROW()","v":618},{"$f":"G618","v":17.958697773362129},10.940659073169732,9.5547283703644013,7.8744395846585915,10.246490203121196,12.217353994722494,null,null,null,{"$f":"G618","v":17.958697773362129},10.940659073169732,9.5547283703644013,7.8744395846585915,10.246490203121196,12.217353994722494,null,null,null,{"$f":"P618","v":17.958697773362129},10.940659073169732,9.5547283703644013,7.8744395846585915,10.246490203121196,12.217353994722494,null,null,null,{"$f":"G618*$AU$198","v":17.060762884694022},10.393626119511245,9.0769919518461801,7.4807176054256619,9.734165692965135,11.606486294986368,null,null,null,{"$f":"G618","v":17.958697773362129},10.940659073169732,9.5547283703644013,7.8744395846585915,10.246490203121196,12.217353994722494,null,null,null,{"$f":"Y618*$AU$198","v":17.060762884694022},{"$f":"Z618*$AU$198","v":10.393626119511245},{"$f":"AA618*$AU$198","v":9.0769919518461801},{"$f":"AB618*$AU$198","v":7.4807176054256619},{"$f":"AC618*$AU$198","v":9.734165692965135},{"$f":"AD618*$AU$198","v":11.606486294986368}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G568 / 'Speed-Vol., non-Cordon'!$Y$4)^G589,'Speed-Vol., non-Cordon'!$Y$6)","v":54.926804475135476},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H568 / 'Speed-Vol., non-Cordon'!$Y$4)^H589,'Speed-Vol., non-Cordon'!$Y$6)","v":28.664541090598163},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I568 / 'Speed-Vol., non-Cordon'!$Y$4)^I589,'Speed-Vol., non-Cordon'!$Y$6)","v":24.417373144913068},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J568 / 'Speed-Vol., non-Cordon'!$Y$4)^J589,'Speed-Vol., non-Cordon'!$Y$6)","v":21.950070451367413},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K568 / 'Speed-Vol., non-Cordon'!$Y$4)^K589,'Speed-Vol., non-Cordon'!$Y$6)","v":28.120384260480368},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L568 / 'Speed-Vol., non-Cordon'!$Y$4)^L589,'Speed-Vol., non-Cordon'!$Y$6)","v":34.475881211547126},null,null,{"$f":"ROW()","v":619},54.926804475135476,28.664541090598163,24.417373144913068,21.950070451367413,28.120384260480368,34.475881211547126,null,"Avgs are wghtd by periods' cordon VMT.",null,54.926804475135476,28.664541090598163,24.417373144913068,21.950070451367413,28.120384260480368,34.475881211547126,null,"Avgs are wghtd by periods' cordon VMT.",null,54.926804475135476,28.664541090598163,24.417373144913068,21.950070451367413,28.120384260480368,34.475881211547126,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G619*$AV$198","v":54.377536430384119},28.37789567969218,24.173199413463937,21.730569746853739,27.839180417875564,34.131122399431653,null,"Avgs are wghtd by periods' cordon VMT.",null,54.926804475135476,28.664541090598163,24.417373144913068,21.950070451367413,28.120384260480368,34.475881211547126,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y619*$AV$198","v":54.377536430384119},{"$f":"Z619*$AV$198","v":28.37789567969218},{"$f":"AA619*$AV$198","v":24.173199413463937},{"$f":"AB619*$AV$198","v":21.730569746853739},{"$f":"AC619*$AV$198","v":27.839180417875564},{"$f":"AD619*$AV$198","v":34.131122399431653},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":621}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":622},{"$f":"($I$99)*60/P618","v":5.0114992264915594},8.2261954602635434,9.4194200516626037,11.429384787628933,8.7834954424281779,7.3665705388316587,null,{"$f":"SUMPRODUCT(P$562:V$562,P622:V622)/W$562","v":8.1272772979212586},null,{"$f":"($J$99)*60/Y618","v":5.0114992264915594},8.2261954602635434,9.4194200516626037,11.429384787628933,8.7834954424281779,7.3665705388316587,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y622:AE622)/AF$562","v":8.3426462295589232},null,{"$f":"($K$99)*60/AH618","v":4.6773992780587896},7.6777824295793087,8.7914587148850991,10.667425801787006,8.1979290795996338,6.8754658362428831,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH622:AN622)/AO$562","v":7.4543306337565056},null,{"$f":"($L$99)*60/AQ618","v":5.2752623436753261},8.6591531160668893,9.9151790017501114,12.030931355398877,9.2457846762401878,7.7542847777175359,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ622:AW622)/AX$562","v":8.2361845674880474},null,{"$f":"($M$99)*60/AZ618","v":10.022998452983119},16.452390920527087,18.838840103325207,22.858769575257867,17.566990884856356,14.733141077663317,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ622:BF622)/BG$562","v":16.40611659136929},null,{"$f":"($L$99)*60/BI618","v":5.2752623436753261},8.6591531160668893,9.9151790017501114,12.030931355398877,9.2457846762401878,7.7542847777175359,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI622:BO622)/BP$562","v":8.2126521401237564}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":623},{"$f":"60*$I$99/(1/($P$152/$P618+$Q$152/$Q618+$R$152/$R618+$S$152/$S618+$T$152/$T618+$U$152/$U618))","v":8.1097519152010751},8.1097519152010751,8.1097519152010751,8.1097519152010751,8.1097519152010751,8.1097519152010751,null,{"$f":"SUMPRODUCT(P$463:V$463,P623:V623)/W$463","v":8.1097519152010751},null,{"$f":"60*$J$99/(1/($Y$152/$Y618+$Z$152/$Z618+$AA$152/$AA618+$AB$152/$AB618+$AC$152/$AC618+$AD$152/$AD618))","v":8.1097519152010769},8.1097519152010769,8.1097519152010769,8.1097519152010769,8.1097519152010769,8.1097519152010769,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y623:AE623)/AF$463","v":8.1097519152010786},null,{"$f":"AH622","v":4.6773992780587896},7.6777824295793087,8.7914587148850991,10.667425801787006,8.1979290795996338,6.8754658362428831,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH623:AN623)/AO$463","v":7.2994800235381518},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ618+$BA$152/$BA618+$BB$152/$BB618+$BC$152/$BC618+$BD$152/$BD618+$BE$152/$BE618))","v":16.219503830402154},16.219503830402154,16.219503830402154,16.219503830402154,16.219503830402154,16.219503830402154,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ623:BF623)/BG$463","v":16.219503830402154}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":624},{"$f":"($I$93)*60/P619","v":18.413861360586054},35.28451962263933,41.421923504325555,46.077964297474708,35.967309451264398,29.336873403729147,null,{"$f":"SUMPRODUCT(P$562:V$562,P624:V624)/W$562","v":33.509372593292923},null,{"$f":"($J$93)*60/Y619","v":18.413861360586054},35.28451962263933,41.421923504325555,46.077964297474708,35.967309451264398,29.336873403729147,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y624:AE624)/AF$562","v":34.347571302811197},null,{"$f":"($K$93)*60/AH619","v":27.620792040879081},52.926779433958998,62.132885256488336,69.116946446212069,53.950964176896605,44.005310105593722,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH624:AN624)/AO$562","v":49.120021662395985},null,{"$f":"($L$93)*60/AQ619","v":6.6203808342969648},12.685930065548291,14.892525968221152,16.56652375863834,12.931415170859113,10.547558201777585,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ624:AW624)/AX$562","v":11.475037533079401},null,{"$f":"($M$93)*60/AZ619","v":17.213124151031167},32.983674905579718,38.720868909147654,43.073297042243539,33.621941147463197,27.423864783860971,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ624:BF624)/BG$562","v":31.53090556784062},null,{"$f":"($L$93)*60/BI619","v":6.6203808342969648},12.685930065548291,14.892525968221152,16.56652375863834,12.931415170859113,10.547558201777585,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI624:BO624)/BP$562","v":11.431736276376151}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":625},{"$f":"60*$I$93/(1/($P$152/$P619+$Q$152/$Q619+$R$152/$R619+$S$152/$S619+$T$152/$T619+$U$152/$U619))","v":33.29144824589644},33.29144824589644,33.29144824589644,33.29144824589644,33.29144824589644,33.29144824589644,null,{"$f":"SUMPRODUCT(P$562:V$562,P625:V625)/W$562","v":33.29144824589644},null,{"$f":"60*$J$93/(1/($Y$152/$Y619+$Z$152/$Z619+$AA$152/$AA619+$AB$152/$AB619+$AC$152/$AC619+$AD$152/$AD619))","v":33.291448245896447},33.291448245896447,33.291448245896447,33.291448245896447,33.291448245896447,33.291448245896447,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y625:AE625)/AF$562","v":33.291448245896454},null,{"$f":"AH624","v":27.620792040879081},52.926779433958998,62.132885256488336,69.116946446212069,53.950964176896605,44.005310105593722,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH625:AN625)/AO$562","v":49.120021662395985},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ619+$BA$152/$BA619+$BB$152/$BB619+$BC$152/$BC619+$BD$152/$BD619+$BE$152/$BE619))","v":31.120568391528611},31.120568391528611,31.120568391528611,31.120568391528611,31.120568391528611,31.120568391528611,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ625:BF625)/BG$562","v":31.120568391528607}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626},{"$f":"SUM(P622:P625)","v":64.826560748175126},84.911915244000397,92.242543717085681,98.908549246201147,86.152005054790095,78.10464410365833,null,{"$f":"SUM(W622:W625)","v":83.037850052311697},null,{"$f":"SUM(Y622:Y625)","v":64.82656074817514},84.911915244000397,92.242543717085681,98.908549246201162,86.152005054790095,78.10464410365833,null,{"$f":"SUM(AF622:AF625)","v":84.091417693467662},null,{"$f":"SUM(AH622:AH625)","v":64.596382637875735},121.20912372707662,141.84868794274689,159.56874449599815,124.29778651299247,101.76155188367321,null,{"$f":"SUM(AO622:AO625)","v":112.99385398208662},null,{"$f":"AQ622+AQ624","v":11.895643177972291},21.34508318161518,24.807704969971262,28.597455114037217,22.177199847099303,18.30184297949512,null,{"$f":"AX622+AX624","v":19.711222100567447},null,{"$f":"SUM(AZ622:AZ625)","v":74.576194825945052},96.776138048037566,104.89978123440362,113.27213883943217,98.529004254250324,89.497078083455051,null,{"$f":"SUM(BG622:BG625)","v":95.277094381140671},null,{"$f":"BI622+BI624","v":11.895643177972291},21.34508318161518,24.807704969971262,28.597455114037217,22.177199847099303,18.30184297949512,null,{"$f":"BP622+BP624","v":19.644388416499908}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":627}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":628},{"$f":"P626/P577","v":0.97533508745629305},0.98535218260440027,0.95002127610599429,0.95259332689888876,0.96023035548580471,0.97350072963777634,null,{"$f":"W626/W577","v":0.962718957747981},null,{"$f":"Y626/Y577","v":0.97533508745629305},0.98535218260439994,0.95002127610599407,0.95259332689888876,0.96023035548580471,0.97350072963777634,null,{"$f":"AF626/AF577","v":0.96358539601442161},null,{"$f":"AH626/AH577","v":0.99935500419454026},1.0111297842701545,0.9365051593390612,0.94279171643373916,0.95495857560831932,0.98558780915534283,null,{"$f":"AO626/AO577","v":0.97154462542520703},null,{"$f":"AQ626/AQ577","v":0.99763034269230855},0.99802600250351337,0.9530208143220944,0.95537886825270091,0.96937949006860502,0.98857076197833882,null,{"$f":"AX626/AX577","v":0.97135381048338942},null,{"$f":"AZ626/AZ577","v":0.97822131109798705},0.98435981883544832,0.95690201599871849,0.95833661253462521,0.96635172620405441,0.97677357130310116,null,{"$f":"BG626/BG577","v":0.96720551762672424},null,{"$f":"BI626/BI577","v":0.99763034269230855},0.99802600250351337,0.9530208143220944,0.95537886825270091,0.96937949006860502,0.98857076197833882,null,{"$f":"BP626/BP577","v":0.97154592560306319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":629}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":630}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$618,G$567,G$483)","v":17.892697399680774},10.730755575425023,9.5448386077954126,7.8115222082107101,10.292574045288491,12.1863923040956,null,null,{"$f":"ROW()","v":631},{"$f":"G631","v":17.892697399680774},10.730755575425023,9.5448386077954126,7.8115222082107101,10.292574045288491,12.1863923040956,null,null,null,{"$f":"G631","v":17.892697399680774},10.730755575425023,9.5448386077954126,7.8115222082107101,10.292574045288491,12.1863923040956,null,null,null,{"$f":"P631","v":17.892697399680774},10.730755575425023,9.5448386077954126,7.8115222082107101,10.292574045288491,12.1863923040956,null,null,null,{"$f":"G631*$AU$198","v":16.998062529696735},10.194217796653772,9.0675966774056409,7.420946097800174,9.7779453430240668,11.577072688890819,null,null,null,{"$f":"G631","v":17.892697399680774},10.730755575425023,9.5448386077954126,7.8115222082107101,10.292574045288491,12.1863923040956,null,null,null,{"$f":"Y631*$AU$198","v":16.998062529696735},{"$f":"Z631*$AU$198","v":10.194217796653772},{"$f":"AA631*$AU$198","v":9.0675966774056409},{"$f":"AB631*$AU$198","v":7.420946097800174},{"$f":"AC631*$AU$198","v":9.7779453430240668},{"$f":"AD631*$AU$198","v":11.577072688890819}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$619,G$568,G$507)","v":54.933936864928},29.023211668561192,23.459780791936186,21.134290673310563,27.344416192151886,34.177118183200321,null,null,{"$f":"ROW()","v":632},54.933936864928,29.023211668561192,23.459780791936186,21.134290673310563,27.344416192151886,34.177118183200321,null,null,null,54.933936864928,29.023211668561192,23.459780791936186,21.134290673310563,27.344416192151886,34.177118183200321,null,null,null,54.933936864928,29.023211668561192,23.459780791936186,21.134290673310563,27.344416192151886,34.177118183200321,null,null,null,{"$f":"G632*$AV$198","v":54.384597496278722},28.73297955187558,23.225182984016826,20.922947766577458,27.070972030230369,33.835347001368319,null,null,null,54.933936864928,29.023211668561192,23.459780791936186,21.134290673310563,27.344416192151886,34.177118183200321,null,null,null,{"$f":"Y632*$AV$198","v":54.384597496278722},{"$f":"Z632*$AV$198","v":28.73297955187558},{"$f":"AA632*$AV$198","v":23.225182984016826},{"$f":"AB632*$AV$198","v":20.922947766577458},{"$f":"AC632*$AV$198","v":27.070972030230369},{"$f":"AD632*$AV$198","v":33.835347001368319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"Traffic-Rebound Factors for cordon entries for next round ",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":634},{"$f":"P628^Elasticities!$G$67","v":1.0252886550078228},{"$f":"Q628^Elasticities!$G$67","v":1.014865565484296},{"$f":"R628^Elasticities!$G$67","v":1.0526080048426512},{"$f":"S628^Elasticities!$G$67","v":1.049765909294621},{"$f":"T628^Elasticities!$G$67","v":1.0414167749300893},{"$f":"U628^Elasticities!$G$67","v":1.0272205963030798},null,null,null,{"$f":"Y628^Elasticities!$H$67","v":1.0252886550078228},{"$f":"Z628^Elasticities!$H$67","v":1.0148655654842964},{"$f":"AA628^Elasticities!$H$67","v":1.0526080048426514},{"$f":"AB628^Elasticities!$H$67","v":1.049765909294621},{"$f":"AC628^Elasticities!$H$67","v":1.0414167749300893},{"$f":"AD628^Elasticities!$H$67","v":1.0272205963030798},null,null,null,{"$f":"AH628^Elasticities!$J$67","v":1.0006454120935528},{"$f":"AI628^Elasticities!$J$67","v":0.98899272433341667},{"$f":"AJ628^Elasticities!$J$67","v":1.0677997766779526},{"$f":"AK628^Elasticities!$J$67","v":1.0606796629298572},{"$f":"AL628^Elasticities!$J$67","v":1.0471658410554499},{"$f":"AM628^Elasticities!$J$67","v":1.0146229394385555},null,null,null,{"$f":"AQ628^Elasticities!$G$69","v":1.0014244952642211},{"$f":"AR628^Elasticities!$G$69","v":1.0011862721031988},{"$f":"AS628^Elasticities!$G$69","v":1.0292919316417564},{"$f":"AT628^Elasticities!$G$69","v":1.0277668872003498},{"$f":"AU628^Elasticities!$G$69","v":1.0188346436210738},{"$f":"AV628^Elasticities!$G$69","v":1.0069208715373219},null,null,null,{"$f":"AZ628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0073667839142537},{"$f":"BA628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0052684226606865},{"$f":"BB628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0147931106031129},{"$f":"BC628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0142864877375326},{"$f":"BD628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0114744674868952},{"$f":"BE628^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0078642328912715},null,null,null,{"$f":"BI628^Elasticities!$G$69","v":1.0014244952642211},{"$f":"BJ628^Elasticities!$G$69","v":1.0011862721031988},{"$f":"BK628^Elasticities!$G$69","v":1.0292919316417564},{"$f":"BL628^Elasticities!$G$69","v":1.0277668872003498},{"$f":"BM628^Elasticities!$G$69","v":1.0188346436210738},{"$f":"BN628^Elasticities!$G$69","v":1.0069208715373219}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":635},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round (see notes interspersed between rows, in column blocks at right)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":636},{"$f":"(P582/P631)^Elasticities!$G$67","v":1.0018477461542266},{"$f":"(Q582/Q631)^Elasticities!$G$67","v":1.0098770644165376},{"$f":"(R582/R631)^Elasticities!$G$67","v":1.0005183371457014},{"$f":"(S582/S631)^Elasticities!$G$67","v":1.004043500177489},{"$f":"(T582/T631)^Elasticities!$G$67","v":0.99776630681495326},{"$f":"(U582/U631)^Elasticities!$G$67","v":1.0012719544765301},null,null,null,{"$f":"(Y582/Y631)^Elasticities!$H$67","v":1.0018477461542266},{"$f":"(Z582/Z631)^Elasticities!$H$67","v":1.0098770644165376},{"$f":"(AA582/AA631)^Elasticities!$H$67","v":1.0005183371457014},{"$f":"(AB582/AB631)^Elasticities!$H$67","v":1.004043500177489},{"$f":"(AC582/AC631)^Elasticities!$H$67","v":0.99776630681495326},{"$f":"(AD582/AD631)^Elasticities!$H$67","v":1.0012719544765301},null,null,null,{"$f":"(AH582/AH631)^Elasticities!$J$67","v":1.0018477461542266},{"$f":"(AI582/AI631)^Elasticities!$J$67","v":1.0098770644165376},{"$f":"(AJ582/AJ631)^Elasticities!$J$67","v":1.0005183371457014},{"$f":"(AK582/AK631)^Elasticities!$J$67","v":1.004043500177489},{"$f":"(AL582/AL631)^Elasticities!$J$67","v":0.99776630681495326},{"$f":"(AM582/AM631)^Elasticities!$J$67","v":1.0012719544765301},null,null,null,{"$f":"(AQ582/AQ631)^Elasticities!$G$69","v":1.0011082383455194},{"$f":"(AR582/AR631)^Elasticities!$G$69","v":1.005914585524065},{"$f":"(AS582/AS631)^Elasticities!$G$69","v":1.0003109700544095},{"$f":"(AT582/AT631)^Elasticities!$G$69","v":1.0024241418124984},{"$f":"(AU582/AU631)^Elasticities!$G$69","v":0.99865918473779858},{"$f":"(AV582/AV631)^Elasticities!$G$69","v":1.0007629786568872},null,null,null,{"$f":"(AZ582/AZ631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0006155364219163},{"$f":"(BA582/BA631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0032815742961887},{"$f":"(BB582/BB631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001727492045611},{"$f":"(BC582/BC631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0013460208075875},{"$f":"(BD582/BD631)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9992548805398721},{"$f":"(BE582/BE631)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0004238051892982},null,null,null,{"$f":"(BI582/BI631)^Elasticities!$G$69","v":1.0011082383455194},{"$f":"(BJ582/BJ631)^Elasticities!$G$69","v":1.005914585524065},{"$f":"(BK582/BK631)^Elasticities!$G$69","v":1.0003109700544095},{"$f":"(BL582/BL631)^Elasticities!$G$69","v":1.0024241418124984},{"$f":"(BM582/BM631)^Elasticities!$G$69","v":0.99865918473779858},{"$f":"(BN582/BN631)^Elasticities!$G$69","v":1.0007629786568872}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":637},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rbnd Factors for non-cordon travel for next round (ditto)",null,null,null,null,{"$f":"($I$85*$I$93*P638+$J$85*$J$93*Y638+$K$85*$K$93*AH638+$L$85*$L$93*AQ638+$M$85*$M$93*AZ638+$N$85*$N$93*BI638)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.9999378563414949},0.99412058812675907,1.0199410018695918,1.0188360233196376,1.0137767150125898,1.0042024628715571,null,null,{"$f":"ROW()","v":638},{"$f":"(P583/P632)^Elasticities!$G$67","v":0.99993508633087336},{"$f":"(Q583/Q632)^Elasticities!$G$67","v":0.99385891616774891},{"$f":"(R583/R632)^Elasticities!$G$67","v":1.0208344500681918},{"$f":"(S583/S632)^Elasticities!$G$67","v":1.0196797260302788},{"$f":"(T583/T632)^Elasticities!$G$67","v":1.0143930039365123},{"$f":"(U583/U632)^Elasticities!$G$67","v":1.0043899926588233},null,null,null,{"$f":"(Y583/Y632)^Elasticities!$H$67","v":0.99993508633087336},{"$f":"(Z583/Z632)^Elasticities!$H$67","v":0.99385891616774891},{"$f":"(AA583/AA632)^Elasticities!$H$67","v":1.0208344500681918},{"$f":"(AB583/AB632)^Elasticities!$H$67","v":1.0196797260302788},{"$f":"(AC583/AC632)^Elasticities!$H$67","v":1.0143930039365123},{"$f":"(AD583/AD632)^Elasticities!$H$67","v":1.0043899926588233},null,null,null,{"$f":"(AH583/AH632)^Elasticities!$J$67","v":0.99993508633087336},{"$f":"(AI583/AI632)^Elasticities!$J$67","v":0.99385891616774891},{"$f":"(AJ583/AJ632)^Elasticities!$J$67","v":1.0208344500681918},{"$f":"(AK583/AK632)^Elasticities!$J$67","v":1.0196797260302788},{"$f":"(AL583/AL632)^Elasticities!$J$67","v":1.0143930039365123},{"$f":"(AM583/AM632)^Elasticities!$J$67","v":1.0043899926588233},null,null,null,{"$f":"(AQ583/AQ632)^Elasticities!$G$69","v":0.99996105129285451},{"$f":"(AR583/AR632)^Elasticities!$G$69","v":0.99631081113388864},{"$f":"(AS583/AS632)^Elasticities!$G$69","v":1.0124490813283469},{"$f":"(AT583/AT632)^Elasticities!$G$69","v":1.011761782471235},{"$f":"(AU583/AU632)^Elasticities!$G$69","v":1.0086111088779661},{"$f":"(AV583/AV632)^Elasticities!$G$69","v":1.0026316876764154},null,null,null,{"$f":"(AZ583/AZ632)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99997836164207599},{"$f":"(BA583/BA632)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99794876737753646},{"$f":"(BB583/BB632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0068971368262563},{"$f":"(BC583/BC632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0065173406710706},{"$f":"(BD583/BD632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0047748326646821},{"$f":"(BE583/BE632)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0014611947562313},null,null,null,{"$f":"(BI583/BI632)^Elasticities!$G$69","v":0.99996105129285451},{"$f":"(BJ583/BJ632)^Elasticities!$G$69","v":0.99631081113388864},{"$f":"(BK583/BK632)^Elasticities!$G$69","v":1.0124490813283469},{"$f":"(BL583/BL632)^Elasticities!$G$69","v":1.011761782471235},{"$f":"(BM583/BM632)^Elasticities!$G$69","v":1.0086111088779661},{"$f":"(BN583/BN632)^Elasticities!$G$69","v":1.0026316876764154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 4 • (Rebound Effect 3)",null,null,null,null,null,null,"Note: This section duplicates architecture from preceding section, so we have largely dispensed with explanatory notes.",null,null,null,null,null,{"$f":"ROW()","v":640},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":641},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":642}]
[null,"Period entries with second rebound effect but before third",null,null,null,null,{"$f":"P643+Y643+AH643+AQ643+AZ643+BI643","v":126419.72548912898},54316.251243904,123873.57553042867,85089.743200241384,47710.380969999555,38432.362425916843,null,{"$f":"SUM(G643:M643)","v":475842.03885961935},{"$f":"ROW()","v":643},{"$f":"P596","v":24579.504527922883},2510.8653709951309,26911.226849743449,7764.2024401194476,10642.757677199685,554.20211463681767,null,{"$f":"SUM(P643:V643)","v":72962.758980617422},null,{"$f":"Y596","v":43538.263115909533},28334.683371237195,50255.989807794314,45408.272384727388,18149.740041584057,20032.35626534035,null,{"$f":"SUM(Y643:AE643)","v":205719.30498659285},null,{"$f":"AH596","v":30671.272429084525},14308.825080640683,18230.168850273436,12221.768825059025,6546.0717293271664,6818.4352223829683,null,{"$f":"SUM(AH643:AN643)","v":88796.542136767806},null,{"$f":"AQ596","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ643:AW643)","v":33794.15699001529},null,{"$f":"AZ596","v":3922.4517814442679},2310.2609918590715,3655.0918996462879,2809.6357226916571,1514.3793819289929,1576.9077418551872,null,{"$f":"SUM(AZ643:BF643)","v":15788.727519425465},null,{"$f":"BI596","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI643:BO643)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O596,\".\")","v":"Above row repeats figures in Row 596."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":644},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O645, \" figures are set equal to Row \",$O643, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 645 figures are set equal to Row 643 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O645, \" figures are set equal to Row \",$O643, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 645 figures are set equal to Row 643 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P645+Y645+AH645+AQ645+AZ645+BI645","v":128191.02367981528},54629.458017864774,129223.26039362824,88517.6723983556,49229.001043397322,39104.847555900611,null,{"$f":"SUM(G645:M645)","v":488895.26308896189},{"$f":"ROW()","v":645},{"$f":"P643*P634","v":25201.087138192746},2548.1908045899099,28326.972802176435,8150.5950344995072,11083.546376551743,569.28782666965969,null,{"$f":"SUM(P645:V645)","v":75879.679982680012},null,{"$f":"Y643*Y634","v":44639.287231487586},28755.894462369128,52899.857162974993,47668.056349451173,18901.443739925973,20577.64894823865,null,{"$f":"SUM(Y645:AE645)","v":213442.1878944475},null,{"$f":"AH643*AH634","v":30691.06803923491},14151.32389851315,19466.170227123341,12963.381637770244,6854.8227080501856,6918.1407877055881,null,{"$f":"SUM(AH645:AN645)","v":91044.907298397418},null,{"$f":"AQ643","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ645:AW645)","v":33794.15699001529},null,{"$f":"AZ643*AZ634","v":3951.3476361322473},2322.4324232206818,3709.1620783822978,2849.775548990825,1531.7560789097615,1589.3089115851853,null,{"$f":"SUM(AZ645:BF645)","v":15953.782677220997},null,{"$f":"BI643","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI645:BO645)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,195144.45016999776,84012.70327177686,197452.0166853035,135754.8337572426,75455.653412655607,60349.420622458128,null,{"$f":"SUM(G646:M646)","v":748169.07791943429},{"$f":"ROW()","v":646},{"$f":"P645*$I$99","v":37801.630707289121},3822.2862068848649,42490.459203264654,12225.892551749261,16625.319564827616,853.93174000448948,null,{"$f":"SUM(P646:V646)","v":113819.51997402},null,{"$f":"Y645*$J$99","v":66958.930847231386},43133.841693553695,79349.785744462482,71502.084524176753,28352.165609888958,30866.473422357973,null,{"$f":"SUM(Y646:AE646)","v":320163.28184167127},null,{"$f":"AH645*$K$99","v":42967.495254928879},19811.853457918412,27252.63831797268,18148.734292878344,9596.7517912702606,9685.3971027878251,null,{"$f":"SUM(AH646:AN646)","v":127462.87021775641},null,{"$f":"AQ645*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ646:AW646)","v":50691.235485022939},null,{"$f":"AZ645*$M$99","v":11854.042908396743},6967.2972696620454,11127.486235146893,8549.3266469724749,4595.2682367292846,4767.926734755556,null,{"$f":"SUM(AZ646:BF646)","v":47861.348031663001},null,{"$f":"BI645*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI646:BO646)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":647}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P649+Y649+AH649+AQ649+AZ649+BI649","v":136815.09755284153},41892.549321727449,126149.02244047937,81569.73360225292,46342.931611812441,43072.704330505723,null,{"$f":"SUM(G649:M649)","v":475842.03885961947},{"$f":"ROW()","v":649},{"$f":"P$152*$W643","v":21532.199921887572},6670.7567194017684,19289.83837492677,12313.894731596969,6755.3890408402931,6400.6801919640375,null,{"$f":"W$152*$W643","v":72962.758980617407},null,{"$f":"Y$152*$AF643","v":60710.275552214283},18808.272264135863,54387.91239854048,34719.162230901151,19046.894029389558,18046.788511411516,null,{"$f":"SUM(Y649:AE649)","v":205719.30498659285},null,{"$f":"AH$152*$AO643","v":26204.942416844708},8118.3899621427645,23475.961846860129,14986.155782464914,8221.3885000509163,7789.7036284043797,null,{"$f":"SUM(AH649:AN649)","v":88796.542136767806},null,{"$f":"AQ643","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ649:AW649)","v":33794.15699001529},null,{"$f":"AZ$152*$BG643","v":4659.4460271271992},1443.5139468751463,4174.2116971807864,2664.6570296460591,1461.8279015720111,1385.0709170242635,null,{"$f":"SUM(AZ649:BF649)","v":15788.727519425465},null,{"$f":"BI643","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI649:BO649)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":651},{"$f":"P649*$W645/$W643","v":22393.018880083069},6937.4416782263415,20061.011716893787,12806.182285708304,7025.4574489656643,6656.5679728028308,null,{"$f":"SUM(P651:V651)","v":75879.679982679998},null,{"$f":"Y649*$AF645/$AF643","v":62989.392475265813},19514.351279930896,56429.682270764955,36022.549993102344,19761.931115271596,18724.280760111902,null,{"$f":"SUM(Y651:AE651)","v":213442.1878944475},null,{"$f":"AH649*$AO645/$AO643","v":26868.462393802773},8323.9509526967795,24070.382907433959,15365.611443206195,8429.5574561715948,7986.9421450861255,null,{"$f":"SUM(AH651:AN651)","v":91044.907298397433},null,{"$f":"AQ649*$AX645/$AX643","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ651:AW651)","v":33794.15699001529},null,{"$f":"AZ649*$BG645/$BG643","v":4708.1558169630825},1458.6044234185149,4217.848853468553,2692.5133205319507,1477.1098319661496,1399.5504308727463,null,{"$f":"SUM(AZ651:BF651)","v":15953.782677220999},null,{"$f":"BI649*$AX645/$AX643","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI651:BO651)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":652}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P653+Y653+AH653+AQ653+AZ653+BI653","v":206485.69467435018},63415.102524085276,189011.85900064392,121829.09120639981,68628.403938349191,64083.412112025144,null,{"$f":"SUM(G653:M653)","v":713453.56345585361},{"$f":"ROW()","v":653},{"$f":"P651*$I$99","v":33589.528320124606},10406.162517339511,30091.51757534068,19209.273428562457,10538.186173448496,9984.8519592042467,null,{"$f":"SUM(P653:V653)","v":113819.51997402},null,{"$f":"Y651*$J$99","v":94484.088712898723},29271.526919896343,84644.523406147433,54033.824989653513,29642.896672907395,28086.421140167855,null,{"$f":"SUM(Y653:AE653)","v":320163.28184167127},null,{"$f":"AH651*$K$99","v":37615.847351323886},11653.531333775492,33698.536070407543,21511.856020488674,11801.380438640233,11181.719003120577,null,{"$f":"SUM(AH653:AN653)","v":127462.87021775641},null,{"$f":"AQ651*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR651*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS651*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT651*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU651*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV651*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ653:AW653)","v":38018.426613767202},null,{"$f":"AZ651*$M$99","v":14124.467450889248},4375.8132702555449,12653.546560405659,8077.5399615958522,4431.3294958984488,4198.6512926182386,null,{"$f":"SUM(AZ653:BF653)","v":47861.348031662994},null,{"$f":"BI651*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ651*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK651*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL651*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM651*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN651*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI653:BO653)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips (see note in column-block to right; note: intra-cordon trips and VMT aren't subject to toll)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O657, \" figures are set equal to Row \",$O656, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 657 figures are set equal to Row 656 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O657, \" figures are set equal to Row \",$O656, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 657 figures are set equal to Row 656 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P656+Y656+AH656+AQ656+AZ656+BI656","v":537344.32300286519},124065.42420675086,353432.71669605456,223915.65087564924,143802.74307964009,136867.74212533567,null,{"$f":"SUM(G656:M656)","v":1519428.5999862957},{"$f":"ROW()","v":656},{"$f":"P609","v":9302.156852055843},2980.3430857432122,11408.978487862732,6934.4103550386471,4157.9271024668697,3332.3699000263928,null,{"$f":"SUM(P656:V656)","v":38116.185783193694},null,{"$f":"Y609","v":27894.813718007063},8937.2944914580294,34212.63849806456,20794.541327828927,12468.570872435112,9992.9337979488191,null,{"$f":"SUM(Y656:AE656)","v":114300.7927057425},null,{"$f":"AH609","v":0},0,0,0,0,0,null,{"$f":"SUM(AH656:AN656)","v":0},null,{"$f":"AQ609","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ656:AW656)","v":510435.42163078324},null,{"$f":"AZ609","v":5226.3813944876119},1754.4025562467859,5736.720523479672,3582.9262445047548,2094.4571588268313,1745.3297175254877,null,{"$f":"SUM(AZ656:BF656)","v":20140.217595071146},null,{"$f":"BI609","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI656:BO656)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537416.2705902881,124188.89268312757,353457.35508869251,224032.59558997769,143764.04396363487,136885.43098481678,null,{"$f":"SUM(G657:M657)","v":1519744.5889005375},{"$f":"ROW()","v":657},{"$f":"P656*P636","v":9319.3448766052406},3009.7801263844804,11414.8921852075,6962.4496445400273,4148.6395690341678,3336.6085228381853,null,{"$f":"SUM(P657:V657)","v":38191.714924609601},null,{"$f":"Y656*Y636","v":27946.356252777376},9025.568724859726,34230.372179450562,20878.624059378806,12440.719910650081,10005.644354826789,null,{"$f":"SUM(Y657:AE657)","v":114527.28548194333},null,{"$f":"AH656*AH636","v":0},0,0,0,0,0,null,{"$f":"SUM(AH657:AN657)","v":0},null,{"$f":"AQ656","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ657:AW657)","v":510435.42163078324},null,{"$f":"AZ656*AZ636","v":5229.5984225907441},1760.1597585805332,5737.7115373868928,3587.7489377819097,2092.8965380393852,1746.0693973168113,null,{"$f":"SUM(AZ657:BF657)","v":20154.184591696277},null,{"$f":"BI656","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI657:BO657)","v":836435.98227150494}]
[null,"Difference (shows reb. eff. for intra-cordon trips, which are unaff'd by toll)",null,null,null,null,71.947587422855577,123.46847637671635,24.638392637968536,116.94471432841419,-38.699116005178439,17.688859481088684,null,{"$f":"W658+AF658+AO658+AX658+BG658+BP658","v":315.98891424187241},{"$f":"ROW()","v":658},{"$f":"P657-P656","v":17.188024549397596},29.43704064126814,5.91369734476757,28.039289501380154,-9.2875334327018209,4.2386228117925384,null,{"$f":"W657-W656","v":75.529141415907361},null,{"$f":"Y657-Y656","v":51.542534770313068},88.27423340169662,17.73368138600199,84.082731549879099,-27.850961785030449,12.710556877969793,null,{"$f":"AF657-AF656","v":226.49277620083012},null,{"$f":"AH657-AH656","v":0},0,0,0,0,0,null,{"$f":"AO657-AO656","v":0},null,{"$f":"AQ657-AQ656","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ657-AZ656","v":3.2170281031321792},5.7572023337472729,0.99101390722080396,4.82269327715494,-1.5606207874461688,0.73967979132362416,null,{"$f":"BG657-BG656","v":13.966996625131287},null,{"$f":"BI657-BI656","v":0},0,0,0,0,0,null,{"$f":"BP657-BP656","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":659}]
[null,"Total Cordon VMT before third rebound effect",null,null,null,null,{"$f":"P660+Y660+AH660+AQ660+AZ660+BI660","v":926320.90411384066},269712.62676812289,718400.05310341634,466947.0170129413,278373.53822030307,254448.34683324787,null,{"$f":"W660+AF660+AO660+AX660+BG660+BP660","v":2914202.4860518724},{"$f":"ROW()","v":660},{"$f":"P613","v":78469.71352677152},16752.776221338565,80710.576324868074,37051.556112613274,30255.147179526837,13764.693359927676,null,{"$f":"SUM(P660:V660)","v":257004.46272504595},null,{"$f":"Y613","v":184267.62172019278},79651.727944517625,191178.49180756675,140985.69325127173,68263.521978895529,67111.650963076609,null,{"$f":"SUM(Y660:AE660)","v":731458.70766552107},null,{"$f":"AH613","v":79626.700784300934},31398.101059896831,58388.582975986996,38091.094450533521,20674.444321129315,20451.394391102287,null,{"$f":"SUM(AH660:AN660)","v":248630.3179829499},null,{"$f":"AQ613","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ660:AW660)","v":565786.23283284309},null,{"$f":"AZ613","v":30972.074820202015},13015.727372449441,29224.631313960894,20005.804501517901,11023.079009329844,10631.265694163842,null,{"$f":"SUM(AZ660:BF660)","v":114872.58271162394},null,{"$f":"BI613","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI660:BO660)","v":996450.18213388755}]
[null,"Total Cordon VMT with third rebound effect",null,null,null,null,934876.12436742941,272132.115449031,731589.23969622666,475500.22375478293,282422.89973275585,257203.037094976,null,{"$f":"W661+AF661+AO661+AX661+BG661+BP661","v":2953723.6400952018},{"$f":"ROW()","v":661},{"$f":"P646+P653+P657","v":80710.503904018973},17238.228850608855,83996.868963812842,38397.615624851744,31312.145307310278,14175.392222046921,null,{"$f":"SUM(P661:V661)","v":265830.75487264962},null,{"$f":"Y646+Y653+Y657","v":189389.37581290747},81430.937338309755,198224.68133006047,146414.53357320908,70435.78219344643,68958.53891735262,null,{"$f":"SUM(Y661:AE661)","v":754853.8491652857},null,{"$f":"AH646+AH653+AH657","v":80583.342606252758},31465.384791693905,60951.174388380226,39660.590313367022,21398.132229910494,20867.116105908404,null,{"$f":"SUM(AH661:AN661)","v":254925.74043551282},null,{"$f":"AQ660","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ661:AW661)","v":565786.23283284309},null,{"$f":"AZ646+AZ653+AZ657","v":31208.108781876734},13103.270298498124,29518.744332939445,20214.61554635024,11119.494270667119,10712.647424690605,null,{"$f":"SUM(AZ661:BF661)","v":115876.88065502225},null,{"$f":"BI660","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI661:BO661)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with third rebound effect",null,null,null,null,{"$f":"G661/G$135","v":93487.612436742944},136066.0577245155,146317.84793924534,158500.07458492764,141211.44986637792,128601.518547488,null,null,{"$f":"ROW()","v":662}]
[null,"Factor Change in VMT (ratio of previous row to preceding one)",null,null,null,null,{"$f":"G661/G660","v":1.009235698142614},1.0089706170226438,1.0183591113834616,1.0183172960319062,1.0145465030129701,1.0108261275658175,null,null,{"$f":"ROW()","v":663},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":664}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":665}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G662/$I$198)^KSE)","v":17.835971657247224},10.744230964435948,9.1634432746433561,7.5112521528172165,9.9309752603205297,11.982837910473677,null,null,{"$f":"ROW()","v":666},{"$f":"G666","v":17.835971657247224},10.744230964435948,9.1634432746433561,7.5112521528172165,9.9309752603205297,11.982837910473677,null,null,null,{"$f":"G666","v":17.835971657247224},10.744230964435948,9.1634432746433561,7.5112521528172165,9.9309752603205297,11.982837910473677,null,null,null,{"$f":"P666","v":17.835971657247224},10.744230964435948,9.1634432746433561,7.5112521528172165,9.9309752603205297,11.982837910473677,null,null,null,{"$f":"G666*$AU$198","v":16.944173074384864},10.20701941621415,8.7052711109111875,7.1356895451763549,9.4344264973045036,11.383696014949992,null,null,null,{"$f":"G666","v":17.835971657247224},10.744230964435948,9.1634432746433561,7.5112521528172165,9.9309752603205297,11.982837910473677,null,null,null,{"$f":"Y666*$AU$198","v":16.944173074384864},{"$f":"Z666*$AU$198","v":10.20701941621415},{"$f":"AA666*$AU$198","v":8.7052711109111875},{"$f":"AB666*$AU$198","v":7.1356895451763549},{"$f":"AC666*$AU$198","v":9.4344264973045036},{"$f":"AD666*$AU$198","v":11.383696014949992}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G619 / 'Speed-Vol., non-Cordon'!$Y$4)^G638,'Speed-Vol., non-Cordon'!$Y$6)","v":54.929761772240859},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H619 / 'Speed-Vol., non-Cordon'!$Y$4)^H638,'Speed-Vol., non-Cordon'!$Y$6)","v":28.921295957882034},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I619 / 'Speed-Vol., non-Cordon'!$Y$4)^I638,'Speed-Vol., non-Cordon'!$Y$6)","v":23.614297554583487},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J619 / 'Speed-Vol., non-Cordon'!$Y$4)^J638,'Speed-Vol., non-Cordon'!$Y$6)","v":21.22488778501198},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K619 / 'Speed-Vol., non-Cordon'!$Y$4)^K638,'Speed-Vol., non-Cordon'!$Y$6)","v":27.531627401905208},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L619 / 'Speed-Vol., non-Cordon'!$Y$4)^L638,'Speed-Vol., non-Cordon'!$Y$6)","v":34.283419677753578},null,null,{"$f":"ROW()","v":667},54.929761772240859,28.921295957882034,23.614297554583487,21.22488778501198,27.531627401905208,34.283419677753578,null,"Avgs are wghtd by periods' cordon VMT.",null,54.929761772240859,28.921295957882034,23.614297554583487,21.22488778501198,27.531627401905208,34.283419677753578,null,"Avgs are wghtd by periods' cordon VMT.",null,54.929761772240859,28.921295957882034,23.614297554583487,21.22488778501198,27.531627401905208,34.283419677753578,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G667*$AV$198","v":54.38046415451845},28.632082998303215,23.378154579037652,21.012638907161861,27.256311127886157,33.94058548097604,null,"Avgs are wghtd by periods' cordon VMT.",null,54.929761772240859,28.921295957882034,23.614297554583487,21.22488778501198,27.531627401905208,34.283419677753578,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y667*$AV$198","v":54.38046415451845},{"$f":"Z667*$AV$198","v":28.632082998303215},{"$f":"AA667*$AV$198","v":23.378154579037652},{"$f":"AB667*$AV$198","v":21.012638907161861},{"$f":"AC667*$AV$198","v":27.256311127886157},{"$f":"AD667*$AV$198","v":33.94058548097604},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":668}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":669}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":670},{"$f":"($I$99)*60/P666","v":5.0459824521772347},8.3765883568498687,9.8216355252663288,11.982023525364415,9.0625540433674576,7.5107416684101951,null,{"$f":"SUMPRODUCT(P$562:V$562,P670:V670)/W$562","v":8.3965170107940086},null,{"$f":"($J$99)*60/Y666","v":5.0459824521772347},8.3765883568498687,9.8216355252663288,11.982023525364415,9.0625540433674576,7.5107416684101951,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y670:AE670)/AF$562","v":8.6210525778310299},null,{"$f":"($K$99)*60/AH666","v":4.7095836220320866},7.8181491330598787,9.1668598235819072,11.18322195700679,8.4583837738096275,7.0100255571828498,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH670:AN670)/AO$562","v":7.6863027448168886},null,{"$f":"($L$99)*60/AQ666","v":5.3115604759760364},8.8174614282630195,10.338563710806662,12.61265634248886,9.5395305719657433,7.9060438614844166,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ670:AW670)/AX$562","v":8.4882623032316804},null,{"$f":"($M$99)*60/AZ666","v":10.091964904354469},16.753176713699737,19.643271050532658,23.96404705072883,18.125108086734915,15.02148333682039,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ670:BF670)/BG$562","v":16.937835268321361},null,{"$f":"($L$99)*60/BI666","v":5.3115604759760364},8.8174614282630195,10.338563710806662,12.61265634248886,9.5395305719657433,7.9060438614844166,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI670:BO670)/BP$562","v":8.4627613286169527}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":671},{"$f":"60*$I$99/(1/($P$152/$P666+$Q$152/$Q666+$R$152/$R666+$S$152/$S666+$T$152/$T666+$U$152/$U666))","v":8.3717689198845111},8.3717689198845111,8.3717689198845111,8.3717689198845111,8.3717689198845111,8.3717689198845111,null,{"$f":"SUMPRODUCT(P$463:V$463,P671:V671)/W$463","v":8.3717689198845093},null,{"$f":"60*$J$99/(1/($Y$152/$Y666+$Z$152/$Z666+$AA$152/$AA666+$AB$152/$AB666+$AC$152/$AC666+$AD$152/$AD666))","v":8.3717689198845129},8.3717689198845129,8.3717689198845129,8.3717689198845129,8.3717689198845129,8.3717689198845129,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y671:AE671)/AF$463","v":8.3717689198845147},null,{"$f":"AH670","v":4.7095836220320866},7.8181491330598787,9.1668598235819072,11.18322195700679,8.4583837738096275,7.0100255571828498,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH671:AN671)/AO$463","v":7.5147366507907352},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ666+$BA$152/$BA666+$BB$152/$BB666+$BC$152/$BC666+$BD$152/$BD666+$BE$152/$BE666))","v":16.743537839769026},16.743537839769026,16.743537839769026,16.743537839769026,16.743537839769026,16.743537839769026,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ671:BF671)/BG$463","v":16.743537839769029}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":672},{"$f":"($I$93)*60/P667","v":18.412869998942682},34.971273903426777,42.830601259568219,47.652292574162665,36.736461227685062,29.501565832461765,null,{"$f":"SUMPRODUCT(P$562:V$562,P672:V672)/W$562","v":34.26694934853699},null,{"$f":"($J$93)*60/Y667","v":18.412869998942682},34.971273903426777,42.830601259568219,47.652292574162665,36.736461227685062,29.501565832461765,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y672:AE672)/AF$562","v":35.082669090016807},null,{"$f":"($K$93)*60/AH667","v":27.619304998414023},52.456910855140165,64.245901889352339,71.478438861244001,55.104691841527597,44.252348748692647,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH672:AN672)/AO$562","v":50.063578605266393},null,{"$f":"($L$93)*60/AQ667","v":6.6200244076086605},12.573308062194924,15.398991343944616,17.132545873488507,13.207950199529423,10.606770475476411,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ672:AW672)/AX$562","v":11.698751390932125},null,{"$f":"($M$93)*60/AZ667","v":17.21219743442829},32.690855417640812,40.037689135767202,44.544965995889136,34.34093781846309,27.577817893803314,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ672:BF672)/BG$562","v":32.175490953687301},null,{"$f":"($L$93)*60/BI667","v":6.6200244076086605},12.573308062194924,15.398991343944616,17.132545873488507,13.207950199529423,10.606770475476411,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI672:BO672)/BP$562","v":11.653056566200513}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":673},{"$f":"60*$I$93/(1/($P$152/$P667+$Q$152/$Q667+$R$152/$R667+$S$152/$S667+$T$152/$T667+$U$152/$U667))","v":33.986301489737386},33.986301489737386,33.986301489737386,33.986301489737386,33.986301489737386,33.986301489737386,null,{"$f":"SUMPRODUCT(P$562:V$562,P673:V673)/W$562","v":33.986301489737379},null,{"$f":"60*$J$93/(1/($Y$152/$Y667+$Z$152/$Z667+$AA$152/$AA667+$AB$152/$AB667+$AC$152/$AC667+$AD$152/$AD667))","v":33.986301489737386},33.986301489737386,33.986301489737386,33.986301489737386,33.986301489737386,33.986301489737386,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y673:AE673)/AF$562","v":33.986301489737386},null,{"$f":"AH672","v":27.619304998414023},52.456910855140165,64.245901889352339,71.478438861244001,55.104691841527597,44.252348748692647,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH673:AN673)/AO$562","v":50.063578605266393},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ667+$BA$152/$BA667+$BB$152/$BB667+$BC$152/$BC667+$BD$152/$BD667+$BE$152/$BE667))","v":31.770111413427426},31.770111413427426,31.770111413427426,31.770111413427426,31.770111413427426,31.770111413427426,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ673:BF673)/BG$562","v":31.770111413427422}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":674},{"$f":"SUM(P670:P673)","v":65.816922860741812},85.705932669898544,95.010307194456445,101.99238650914897,88.157085680674413,79.370377910493858,null,{"$f":"SUM(W670:W673)","v":85.021536768952885},null,{"$f":"SUM(Y670:Y673)","v":65.816922860741812},85.705932669898544,95.010307194456445,101.99238650914897,88.157085680674413,79.370377910493858,null,{"$f":"SUM(AF670:AF673)","v":86.061792077469732},null,{"$f":"SUM(AH670:AH673)","v":64.657777240892216},120.55011997640008,146.82552342586848,165.32332163650159,127.12615123067445,102.52474861175099,null,{"$f":"SUM(AO670:AO673)","v":115.32819660614041},null,{"$f":"AQ670+AQ672","v":11.931584883584698},21.390769490457942,25.737555054751276,29.745202215977365,22.747480771495166,18.51281433696083,null,{"$f":"AX670+AX672","v":20.187013694163806},null,{"$f":"SUM(AZ670:AZ673)","v":75.817811591979208},97.957681384537011,108.1946094394963,117.02266229981441,100.97969515839446,91.112950483820157,null,{"$f":"SUM(BG670:BG673)","v":97.626975475205114},null,{"$f":"BI670+BI672","v":11.931584883584698},21.390769490457942,25.737555054751276,29.745202215977365,22.747480771495166,18.51281433696083,null,{"$f":"BP670+BP672","v":20.115817894817468}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":675}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":676},{"$f":"P674/P626","v":1.0152771040316921},1.0093510719151308,1.030005281357588,1.031178672485344,1.0232737546225319,1.0162056151892285,null,{"$f":"W674/W626","v":1.0238889460094585},null,{"$f":"Y674/Y626","v":1.0152771040316919},1.0093510719151308,1.030005281357588,1.0311786724853438,1.0232737546225319,1.0162056151892285,null,{"$f":"AF674/AF626","v":1.0234313374425976},null,{"$f":"AH674/AH626","v":1.0009504340724567},0.99456308460606979,1.0350855235624763,1.036063310259659,1.0227547472648384,1.0074998534706923,null,{"$f":"AO674/AO626","v":1.020659022962646},null,{"$f":"AQ674/AQ626","v":1.0030214175958945},1.0021403668682871,1.0374823098672594,1.0401345888074065,1.025714739837656,1.0115273285702471,null,{"$f":"AX674/AX626","v":1.024138107275584},null,{"$f":"AZ674/AZ626","v":1.0166489691372964},1.0122090358256801,1.0314092952942413,1.0331107322489845,1.0248727866752843,1.0180550296721231,null,{"$f":"BG674/BG626","v":1.0246636519441297},null,{"$f":"BI674/BI626","v":1.0030214175958945},1.0021403668682871,1.0374823098672594,1.0401345888074065,1.025714739837656,1.0115273285702471,null,{"$f":"BP674/BP626","v":1.023998175373156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":677}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":678},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$666,G$618,G$567,G$483)","v":17.878515964072388},10.734124422677755,9.4494897745073985,7.7364546943623367,10.202174349046501,12.13550370569012,null,null,{"$f":"ROW()","v":679},{"$f":"G679","v":17.878515964072388},10.734124422677755,9.4494897745073985,7.7364546943623367,10.202174349046501,12.13550370569012,null,null,null,{"$f":"G679","v":17.878515964072388},10.734124422677755,9.4494897745073985,7.7364546943623367,10.202174349046501,12.13550370569012,null,null,null,{"$f":"P679","v":17.878515964072388},10.734124422677755,9.4494897745073985,7.7364546943623367,10.202174349046501,12.13550370569012,null,null,null,{"$f":"G679*$AU$198","v":16.984590165868767},10.197418201543867,8.9770152857820289,7.3496319596442197,9.6920656315941756,11.528728520405613,null,null,null,{"$f":"G679","v":17.878515964072388},10.734124422677755,9.4494897745073985,7.7364546943623367,10.202174349046501,12.13550370569012,null,null,null,{"$f":"Y679*$AU$198","v":16.984590165868767},{"$f":"Z679*$AU$198","v":10.197418201543867},{"$f":"AA679*$AU$198","v":8.9770152857820289},{"$f":"AB679*$AU$198","v":7.3496319596442197},{"$f":"AC679*$AU$198","v":9.6920656315941756},{"$f":"AD679*$AU$198","v":11.528728520405613}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$667,G$619,G$568,G$507)","v":54.932893091756213},28.997732740891401,23.498409982598016,21.156939951235916,27.391218994590218,34.203693556838637,null,null,{"$f":"ROW()","v":680},54.932893091756213,28.997732740891401,23.498409982598016,21.156939951235916,27.391218994590218,34.203693556838637,null,null,null,54.932893091756213,28.997732740891401,23.498409982598016,21.156939951235916,27.391218994590218,34.203693556838637,null,null,null,54.932893091756213,28.997732740891401,23.498409982598016,21.156939951235916,27.391218994590218,34.203693556838637,null,null,null,{"$f":"G680*$AV$198","v":54.383564160838652},28.707755413482488,23.263425882772037,20.945370551723556,27.117306804644315,33.861656621270249,null,null,null,54.932893091756213,28.997732740891401,23.498409982598016,21.156939951235916,27.391218994590218,34.203693556838637,null,null,null,{"$f":"Y680*$AV$198","v":54.383564160838652},{"$f":"Z680*$AV$198","v":28.707755413482488},{"$f":"AA680*$AV$198","v":23.263425882772037},{"$f":"AB680*$AV$198","v":20.945370551723556},{"$f":"AC680*$AV$198","v":27.117306804644315},{"$f":"AD680*$AV$198","v":33.861656621270249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":681}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":682},{"$f":"P676^Elasticities!$G$67","v":0.98495277400521852},{"$f":"Q676^Elasticities!$G$67","v":0.9907355605246565},{"$f":"R676^Elasticities!$G$67","v":0.97086880824723554},{"$f":"S676^Elasticities!$G$67","v":0.96976404446942521},{"$f":"T676^Elasticities!$G$67","v":0.97725559312217758},{"$f":"U676^Elasticities!$G$67","v":0.98405281869436356},null,null,null,{"$f":"Y676^Elasticities!$H$67","v":0.98495277400521875},{"$f":"Z676^Elasticities!$H$67","v":0.9907355605246565},{"$f":"AA676^Elasticities!$H$67","v":0.97086880824723554},{"$f":"AB676^Elasticities!$H$67","v":0.96976404446942543},{"$f":"AC676^Elasticities!$H$67","v":0.97725559312217758},{"$f":"AD676^Elasticities!$H$67","v":0.98405281869436356},null,null,null,{"$f":"AH676^Elasticities!$J$67","v":0.99905046839473388},{"$f":"AI676^Elasticities!$J$67","v":1.0054666370369896},{"$f":"AJ676^Elasticities!$J$67","v":0.9661037443150382},{"$f":"AK676^Elasticities!$J$67","v":0.96519198208976165},{"$f":"AL676^Elasticities!$J$67","v":0.97775151146871564},{"$f":"AM676^Elasticities!$J$67","v":0.99255597562137965},null,null,null,{"$f":"AQ676^Elasticities!$G$69","v":0.99819151990215316},{"$f":"AR676^Elasticities!$G$69","v":0.99871797476958857},{"$f":"AS676^Elasticities!$G$69","v":0.97816378528893888},{"$f":"AT676^Elasticities!$G$69","v":0.97666646682321201},{"$f":"AU676^Elasticities!$G$69","v":0.98488164139917234},{"$f":"AV676^Elasticities!$G$69","v":0.99314675425988763},null,null,null,{"$f":"AZ676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99451115426534586},{"$f":"BA676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99596313457802954},{"$f":"BB676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98974424761802415},{"$f":"BC676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.98920061026805428},{"$f":"BD676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99184394447560209},{"$f":"BE676^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99405309548303766},null,null,null,{"$f":"BI676^Elasticities!$G$69","v":0.99819151990215316},{"$f":"BJ676^Elasticities!$G$69","v":0.99871797476958857},{"$f":"BK676^Elasticities!$G$69","v":0.97816378528893888},{"$f":"BL676^Elasticities!$G$69","v":0.97666646682321201},{"$f":"BM676^Elasticities!$G$69","v":0.98488164139917234},{"$f":"BN676^Elasticities!$G$69","v":0.99314675425988763}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":683},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":684},{"$f":"(P631/P679)^Elasticities!$G$67","v":0.99920741768043098},{"$f":"(Q631/Q679)^Elasticities!$G$67","v":1.0003139431542405},{"$f":"(R631/R679)^Elasticities!$G$67","v":0.99001043001291389},{"$f":"(S631/S679)^Elasticities!$G$67","v":0.99039015548474407},{"$f":"(T631/T679)^Elasticities!$G$67","v":0.99121699821208753},{"$f":"(U631/U679)^Elasticities!$G$67","v":0.9958241457245407},null,null,null,{"$f":"(Y631/Y679)^Elasticities!$H$67","v":0.99920741768043098},{"$f":"(Z631/Z679)^Elasticities!$H$67","v":1.0003139431542405},{"$f":"(AA631/AA679)^Elasticities!$H$67","v":0.99001043001291389},{"$f":"(AB631/AB679)^Elasticities!$H$67","v":0.99039015548474407},{"$f":"(AC631/AC679)^Elasticities!$H$67","v":0.99121699821208753},{"$f":"(AD631/AD679)^Elasticities!$H$67","v":0.9958241457245407},null,null,null,{"$f":"(AH631/AH679)^Elasticities!$J$67","v":0.99920741768043098},{"$f":"(AI631/AI679)^Elasticities!$J$67","v":1.0003139431542405},{"$f":"(AJ631/AJ679)^Elasticities!$J$67","v":0.99001043001291389},{"$f":"(AK631/AK679)^Elasticities!$J$67","v":0.99039015548474407},{"$f":"(AL631/AL679)^Elasticities!$J$67","v":0.99121699821208753},{"$f":"(AM631/AM679)^Elasticities!$J$67","v":0.9958241457245407},null,null,null,{"$f":"(AQ631/AQ679)^Elasticities!$G$69","v":0.99952437519795534},{"$f":"(AR631/AR679)^Elasticities!$G$69","v":1.0001883540670402},{"$f":"(AS631/AS679)^Elasticities!$G$69","v":0.9939942268648766},{"$f":"(AT631/AT679)^Elasticities!$G$69","v":0.99422296141122113},{"$f":"(AU631/AU679)^Elasticities!$G$69","v":0.99472090384994316},{"$f":"(AV631/AV679)^Elasticities!$G$69","v":0.99749239081562457},null,null,null,{"$f":"(AZ631/AZ679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99973573606420085},{"$f":"(BA631/BA679)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001046367688449},{"$f":"(BB631/BB679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99665899344396403},{"$f":"(BC631/BC679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9967864023475419},{"$f":"(BD631/BD679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99706371943241034},{"$f":"(BE631/BE679)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99860610653861526},null,null,null,{"$f":"(BI631/BI679)^Elasticities!$G$69","v":0.99952437519795534},{"$f":"(BJ631/BJ679)^Elasticities!$G$69","v":1.0001883540670402},{"$f":"(BK631/BK679)^Elasticities!$G$69","v":0.9939942268648766},{"$f":"(BL631/BL679)^Elasticities!$G$69","v":0.99422296141122113},{"$f":"(BM631/BM679)^Elasticities!$G$69","v":0.99472090384994316},{"$f":"(BN631/BN679)^Elasticities!$G$69","v":0.99749239081562457}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":685},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P686+$J$85*$J$93*Y686+$K$85*$K$93*AH686+$L$85*$L$93*AQ686+$M$85*$M$93*AZ686+$N$85*$N$93*BI686)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.99998181028672695},0.99915957279985168,1.0015763200744909,1.0010259402965898,1.0016385347244989,1.0007443902945883,null,null,{"$f":"ROW()","v":686},{"$f":"(P632/P680)^Elasticities!$G$67","v":0.9999809994835368},{"$f":"(Q632/Q680)^Elasticities!$G$67","v":0.99912211894532021},{"$f":"(R632/R680)^Elasticities!$G$67","v":1.00164661345323},{"$f":"(S632/S680)^Elasticities!$G$67","v":1.0010716838466671},{"$f":"(T632/T680)^Elasticities!$G$67","v":1.0017116036454918},{"$f":"(U632/U680)^Elasticities!$G$67","v":1.0007775779542283},null,null,null,{"$f":"(Y632/Y680)^Elasticities!$H$67","v":0.9999809994835368},{"$f":"(Z632/Z680)^Elasticities!$H$67","v":0.99912211894532021},{"$f":"(AA632/AA680)^Elasticities!$H$67","v":1.00164661345323},{"$f":"(AB632/AB680)^Elasticities!$H$67","v":1.0010716838466671},{"$f":"(AC632/AC680)^Elasticities!$H$67","v":1.0017116036454918},{"$f":"(AD632/AD680)^Elasticities!$H$67","v":1.0007775779542283},null,null,null,{"$f":"(AH632/AH680)^Elasticities!$J$67","v":0.9999809994835368},{"$f":"(AI632/AI680)^Elasticities!$J$67","v":0.99912211894532021},{"$f":"(AJ632/AJ680)^Elasticities!$J$67","v":1.00164661345323},{"$f":"(AK632/AK680)^Elasticities!$J$67","v":1.0010716838466671},{"$f":"(AL632/AL680)^Elasticities!$J$67","v":1.0017116036454918},{"$f":"(AM632/AM680)^Elasticities!$J$67","v":1.0007775779542283},null,null,null,{"$f":"(AQ632/AQ680)^Elasticities!$G$69","v":0.99998859964679931},{"$f":"(AR632/AR680)^Elasticities!$G$69","v":0.99947317884826725},{"$f":"(AS632/AS680)^Elasticities!$G$69","v":1.0009876429614009},{"$f":"(AT632/AT680)^Elasticities!$G$69","v":1.0006428725561307},{"$f":"(AU632/AU680)^Elasticities!$G$69","v":1.0010266109173627},{"$f":"(AV632/AV680)^Elasticities!$G$69","v":1.0004664742435558},null,null,null,{"$f":"(AZ632/AZ680)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999366645439858},{"$f":"(BA632/BA680)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99970728730941416},{"$f":"(BB632/BB680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0005485701668217},{"$f":"(BC632/BC680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.000357100413005},{"$f":"(BD632/BD680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0005702093479978},{"$f":"(BE632/BE680)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0002591254995852},null,null,null,{"$f":"(BI632/BI680)^Elasticities!$G$69","v":0.99998859964679931},{"$f":"(BJ632/BJ680)^Elasticities!$G$69","v":0.99947317884826725},{"$f":"(BK632/BK680)^Elasticities!$G$69","v":1.0009876429614009},{"$f":"(BL632/BL680)^Elasticities!$G$69","v":1.0006428725561307},{"$f":"(BM632/BM680)^Elasticities!$G$69","v":1.0010266109173627},{"$f":"(BN632/BN680)^Elasticities!$G$69","v":1.0004664742435558}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":687},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 5 • (Rebound Effect 4)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":688},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":689},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":690}]
[null,"Period entries with trird rebound effect but before fourth",null,null,null,null,{"$f":"P691+Y691+AH691+AQ691+AZ691+BI691","v":128191.02367981528},54629.458017864774,129223.26039362824,88517.6723983556,49229.001043397322,39104.847555900611,null,{"$f":"SUM(G691:M691)","v":488895.26308896189},{"$f":"ROW()","v":691},{"$f":"P645","v":25201.087138192746},2548.1908045899099,28326.972802176435,8150.5950344995072,11083.546376551743,569.28782666965969,null,{"$f":"SUM(P691:V691)","v":75879.679982680012},null,{"$f":"Y645","v":44639.287231487586},28755.894462369128,52899.857162974993,47668.056349451173,18901.443739925973,20577.64894823865,null,{"$f":"SUM(Y691:AE691)","v":213442.1878944475},null,{"$f":"AH645","v":30691.06803923491},14151.32389851315,19466.170227123341,12963.381637770244,6854.8227080501856,6918.1407877055881,null,{"$f":"SUM(AH691:AN691)","v":91044.907298397418},null,{"$f":"AQ645","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ691:AW691)","v":33794.15699001529},null,{"$f":"AZ645","v":3951.3476361322473},2322.4324232206818,3709.1620783822978,2849.775548990825,1531.7560789097615,1589.3089115851853,null,{"$f":"SUM(AZ691:BF691)","v":15953.782677220997},null,{"$f":"BI645","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI691:BO691)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O645,\".\")","v":"Above row repeats figures in Row 645."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":692},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O693, \" figures are set equal to Row \",$O691, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 693 figures are set equal to Row 691 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O693, \" figures are set equal to Row \",$O691, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 693 figures are set equal to Row 691 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P693+Y693+AH693+AQ693+AZ693+BI693","v":127089.28930639318},54407.428018779923,126159.15550339816,86347.936680306884,48382.007695927197,38706.663244068754,null,{"$f":"SUM(G693:M693)","v":481092.48044887406},{"$f":"ROW()","v":693},{"$f":"P691*P682","v":24821.880684710181},2524.5832451091596,27501.774325700888,7904.1540054886564,10831.457688114237,560.20929048266692,null,{"$f":"SUM(P693:V693)","v":74144.059239605791},null,{"$f":"Y691*Y682","v":43967.589788269441},28489.487218563143,51358.821280266515,46226.767117440242,18471.541612926827,20249.493449617348,null,{"$f":"SUM(Y693:AE693)","v":208763.70046708349},null,{"$f":"AH691*AH682","v":30661.925900132283},14228.684049859197,18806.339943897776,12512.152017545483,6702.3132636461432,6866.6419790271802,null,{"$f":"SUM(AH693:AN693)","v":89778.057154108043},null,{"$f":"AQ691","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ693:AW693)","v":33794.15699001529},null,{"$f":"AZ691*AZ682","v":3929.6592985135271},2313.057076076519,3671.121830561794,2818.9997121887036,1519.2629912803395,1579.857443240031,null,{"$f":"SUM(AZ693:BF693)","v":15831.958351860914},null,{"$f":"BI691","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI693:BO693)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193462.23031734681,83657.859237298748,192864.7820065502,132499.18938698884,74181.67470444669,59743.116833060456,null,{"$f":"SUM(G694:M694)","v":736408.8524856919},{"$f":"ROW()","v":694},{"$f":"P693*$I$99","v":37232.821027065271},3786.8748676637397,41252.661488551334,11856.231008232984,16247.186532171356,840.31393572400043,null,{"$f":"SUM(P694:V694)","v":111216.08885940869},null,{"$f":"Y693*$J$99","v":65951.384682404168},42734.230827844716,77038.231920399776,69340.150676160367,27707.31241939024,30374.240174426021,null,{"$f":"SUM(Y694:AE694)","v":313145.55070062529},null,{"$f":"AH693*$K$99","v":42926.696260185199},19920.157669802877,26328.875921456889,17517.012824563677,9383.238569104602,9613.2987706380536,null,{"$f":"SUM(AH694:AN694)","v":125689.2800157513},null,{"$f":"AQ693*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ694:AW694)","v":50691.235485022939},null,{"$f":"AZ693*$M$99","v":11788.977895540582},6939.1712282295575,11013.365491685381,8456.9991365661117,4557.7889738410186,4739.572329720093,null,{"$f":"SUM(AZ694:BF694)","v":47495.875055582743},null,{"$f":"BI693*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI694:BO694)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":695}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":696}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P697+Y697+AH697+AQ697+AZ697+BI697","v":140667.2632008825},43085.964763444434,129600.02387153247,83772.720870192628,47551.487992334653,44217.802390575125,null,{"$f":"SUM(G697:M697)","v":488895.26308896177},{"$f":"ROW()","v":697},{"$f":"P$152*$W691","v":22393.018880083069},6937.4416782263415,20061.01171689379,12806.182285708306,7025.4574489656652,6656.5679728028299,null,{"$f":"W$152*$W691","v":75879.679982679998},null,{"$f":"Y$152*$AF691","v":62989.392475265806},19514.351279930896,56429.682270764963,36022.549993102344,19761.931115271596,18724.280760111902,null,{"$f":"SUM(Y697:AE697)","v":213442.1878944475},null,{"$f":"AH$152*$AO691","v":26868.462393802769},8323.9509526967795,24070.382907433956,15365.611443206195,8429.5574561715948,7986.9421450861246,null,{"$f":"SUM(AH697:AN697)","v":91044.907298397404},null,{"$f":"AQ691","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ697:AW697)","v":33794.15699001529},null,{"$f":"AZ$152*$BG691","v":4708.1558169630825},1458.6044234185149,4217.848853468553,2692.5133205319512,1477.1098319661496,1399.5504308727463,null,{"$f":"SUM(AZ697:BF697)","v":15953.782677220999},null,{"$f":"BI691","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI697:BO697)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":698}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":699},{"$f":"P697*$W693/$W691","v":21880.81603371898},6778.75930524657,19602.149633252382,12513.262288948457,6864.7618624688148,6504.3101159705757,null,{"$f":"SUM(P699:V699)","v":74144.059239605776},null,{"$f":"Y697*$AF693/$AF691","v":61608.713783485517},19086.611815596549,55192.787345547666,35232.963600145842,19328.764892720723,18313.859029587202,null,{"$f":"SUM(Y699:AE699)","v":208763.70046708352},null,{"$f":"AH697*$AO693/$AO691","v":26494.599467578206},8208.1268085640386,23735.454035910792,15151.805667006971,8312.2638436398538,7875.8073314081785,null,{"$f":"SUM(AH699:AN699)","v":89778.057154108043},null,{"$f":"AQ697*$AX693/$AX691","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ699:AW699)","v":33794.15699001529},null,{"$f":"AZ697*$BG693/$BG691","v":4672.2039729586741},1447.4664065954635,4185.6410315719777,2671.9530794008501,1465.830506404134,1388.8633549298149,null,{"$f":"SUM(AZ699:BF699)","v":15831.958351860916},null,{"$f":"BI697*$AX693/$AX691","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI699:BO699)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":700}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P701+Y701+AH701+AQ701+AZ701+BI701","v":203015.10873840598},62339.901915859118,185902.69960153371,119844.32281175308,67539.56219054712,63051.742764011789,null,{"$f":"SUM(G701:M701)","v":701693.33802211087},{"$f":"ROW()","v":701},{"$f":"P699*$I$99","v":32821.224050578472},10168.138957869854,29403.224449878573,18769.893433422687,10297.142793703222,9756.4651739558631,null,{"$f":"SUM(P701:V701)","v":111216.08885940867},null,{"$f":"Y699*$J$99","v":92413.070675228271},28629.917723394821,82789.181018321498,52849.445400218763,28993.147339081086,27470.788544380805,null,{"$f":"SUM(Y701:AE701)","v":313145.55070062529},null,{"$f":"AH699*$K$99","v":37092.43925460949},11491.377531989656,33229.635650275115,21212.527933809761,11637.169381095797,11026.13026397145,null,{"$f":"SUM(AH701:AN701)","v":125689.28001575127},null,{"$f":"AQ699*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR699*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS699*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT699*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU699*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV699*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ701:AW701)","v":38018.426613767202},null,{"$f":"AZ699*$M$99","v":14016.611918876022},4342.3992197863899,12556.923094715934,8015.8592382025508,4397.4915192124017,4166.590064789445,null,{"$f":"SUM(AZ701:BF701)","v":47495.875055582743},null,{"$f":"BI699*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ699*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK699*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL699*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM699*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN699*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI701:BO701)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":702},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":703},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O705, \" figures are set equal to Row \",$O704, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 705 figures are set equal to Row 704 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O705, \" figures are set equal to Row \",$O704, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 705 figures are set equal to Row 704 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P704+Y704+AH704+AQ704+AZ704+BI704","v":537416.2705902881},124188.89268312757,353457.35508869251,224032.59558997769,143764.04396363487,136885.43098481678,null,{"$f":"SUM(G704:M704)","v":1519744.5889005375},{"$f":"ROW()","v":704},{"$f":"P657","v":9319.3448766052406},3009.7801263844804,11414.8921852075,6962.4496445400273,4148.6395690341678,3336.6085228381853,null,{"$f":"SUM(P704:V704)","v":38191.714924609601},null,{"$f":"Y657","v":27946.356252777376},9025.568724859726,34230.372179450562,20878.624059378806,12440.719910650081,10005.644354826789,null,{"$f":"SUM(Y704:AE704)","v":114527.28548194333},null,{"$f":"AH657","v":0},0,0,0,0,0,null,{"$f":"SUM(AH704:AN704)","v":0},null,{"$f":"AQ657","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ704:AW704)","v":510435.42163078324},null,{"$f":"AZ657","v":5229.5984225907441},1760.1597585805332,5737.7115373868928,3587.7489377819097,2092.8965380393852,1746.0693973168113,null,{"$f":"SUM(AZ704:BF704)","v":20154.184591696277},null,{"$f":"BI657","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI704:BO704)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537385.35246018483,124192.85527593811,352982.20879387966,223753.51761898116,143612.19425822989,136827.28184637727,null,{"$f":"SUM(G705:M705)","v":1518753.4102535909},{"$f":"ROW()","v":705},{"$f":"P704*P684","v":9311.9585286260772},3010.7250262509278,11300.862320828328,6895.5415860106987,4112.2020602819366,3322.6753318725573,null,{"$f":"SUM(P705:V705)","v":37953.96485387053},null,{"$f":"Y704*Y684","v":27924.206464915049},9028.4022403740237,33888.425480879938,20677.983728475694,12331.453045431923,9963.8622420689608,null,{"$f":"SUM(Y705:AE705)","v":113814.33320214559},null,{"$f":"AH704*AH684","v":0},0,0,0,0,0,null,{"$f":"SUM(AH705:AN705)","v":0},null,{"$f":"AQ704","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ705:AW705)","v":510435.42163078324},null,{"$f":"AZ704*AZ684","v":5228.2164283289412},1760.3439360103218,5718.5418055238397,3576.2193562178445,2086.7512066047643,1743.6355626007673,null,{"$f":"SUM(AZ705:BF705)","v":20113.70829528648},null,{"$f":"BI704","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI705:BO705)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,-30.918130103302246,3.962592810526985,-475.14629481284919,-279.07797099651134,-151.84970540501035,-58.149138439500121,null,{"$f":"W706+AF706+AO706+AX706+BG706+BP706","v":-991.17864694664604},{"$f":"ROW()","v":706},{"$f":"P705-P704","v":-7.3863479791634745},0.94489986644748569,-114.02986437917207,-66.908058529328628,-36.437508752231224,-13.933190965628,null,{"$f":"W705-W704","v":-237.75007073907182},null,{"$f":"Y705-Y704","v":-22.149787862326775},2.8335155142976873,-341.94669857062399,-200.64033090311204,-109.26686521815827,-41.782112757828145,null,{"$f":"AF705-AF704","v":-712.95227979774063},null,{"$f":"AH705-AH704","v":0},0,0,0,0,0,null,{"$f":"AO705-AO704","v":0},null,{"$f":"AQ705-AQ704","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ705-AZ704","v":-1.3819942618029017},0.18417742978863316,-19.16973186305313,-11.529581564065211,-6.1453314346208572,-2.4338347160439753,null,{"$f":"BG705-BG704","v":-40.476296409797214},null,{"$f":"BI705-BI704","v":0},0,0,0,0,0,null,{"$f":"BP705-BP704","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":707}]
[null,"Total Cordon VMT before fourth rebound effect",null,null,null,null,{"$f":"P708+Y708+AH708+AQ708+AZ708+BI708","v":934876.12436742941},272132.115449031,731589.23969622666,475500.22375478293,282422.89973275585,257203.037094976,null,{"$f":"W708+AF708+AO708+AX708+BG708+BP708","v":2953723.6400952018},{"$f":"ROW()","v":708},{"$f":"P661","v":80710.503904018973},17238.228850608855,83996.868963812842,38397.615624851744,31312.145307310278,14175.392222046921,null,{"$f":"SUM(P708:V708)","v":265830.75487264962},null,{"$f":"Y661","v":189389.37581290747},81430.937338309755,198224.68133006047,146414.53357320908,70435.78219344643,68958.53891735262,null,{"$f":"SUM(Y708:AE708)","v":754853.8491652857},null,{"$f":"AH661","v":80583.342606252758},31465.384791693905,60951.174388380226,39660.590313367022,21398.132229910494,20867.116105908404,null,{"$f":"SUM(AH708:AN708)","v":254925.74043551282},null,{"$f":"AQ661","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ708:AW708)","v":565786.23283284309},null,{"$f":"AZ661","v":31208.108781876734},13103.270298498124,29518.744332939445,20214.61554635024,11119.494270667119,10712.647424690605,null,{"$f":"SUM(AZ708:BF708)","v":115876.88065502225},null,{"$f":"BI661","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI708:BO708)","v":996450.18213388755}]
[null,"Total Cordon VMT with fourth rebound effect",null,null,null,null,929692.40044873103,270706.03339913732,723417.69932355033,469980.73301888583,279908.22957133991,255506.91481912544,null,{"$f":"W709+AF709+AO709+AX709+BG709+BP709","v":2929212.0105807697},{"$f":"ROW()","v":709},{"$f":"P694+P701+P705","v":79366.003606269805},16965.738851784525,81956.748259258238,37521.666027666375,30656.531386156512,13919.45444155242,null,{"$f":"SUM(P709:V709)","v":260386.14257268785},null,{"$f":"Y694+Y701+Y705","v":186288.66182254747},80392.550791613568,193715.8384196012,142867.57980485482,69031.912803903251,67808.890960875782,null,{"$f":"SUM(Y709:AE709)","v":740105.43460339599},null,{"$f":"AH694+AH701+AH705","v":80019.135514794689},31411.535201792532,59558.511571732,38729.540758373434,21020.407950200399,20639.429034609504,null,{"$f":"SUM(AH709:AN709)","v":251378.56003150257},null,{"$f":"AQ708","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ709:AW709)","v":565786.23283284309},null,{"$f":"AZ694+AZ701+AZ705","v":31033.806242745548},13041.91438402627,29288.830391925156,20049.077730986508,11042.031699658184,10649.797957110306,null,{"$f":"SUM(AZ709:BF709)","v":115105.45840645197},null,{"$f":"BI708","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI709:BO709)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with fourth rebound effect",null,null,null,null,{"$f":"G709/G$135","v":92969.240044873106},135353.01669956866,144683.53986471007,156660.24433962861,139954.11478566995,127753.45740956272,null,null,{"$f":"ROW()","v":710}]
[null,"Factor Change",null,null,null,null,{"$f":"G709/G708","v":0.99445517562852959},0.99475959664833902,0.98883042569616064,0.98839224366223744,0.99109608263425009,0.99340551225596829,null,null,{"$f":"ROW()","v":711},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":712}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":713}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G710/$I$198)^KSE)","v":17.910536410554013},10.85978446452015,9.4045318523979287,7.7439597320069673,10.126198903943575,12.127056152084062,null,null,{"$f":"ROW()","v":714},{"$f":"G714","v":17.910536410554013},10.85978446452015,9.4045318523979287,7.7439597320069673,10.126198903943575,12.127056152084062,null,null,null,{"$f":"G714","v":17.910536410554013},10.85978446452015,9.4045318523979287,7.7439597320069673,10.126198903943575,12.127056152084062,null,null,null,{"$f":"P714","v":17.910536410554013},10.85978446452015,9.4045318523979287,7.7439597320069673,10.126198903943575,12.127056152084062,null,null,null,{"$f":"G714*$AU$198","v":17.01500959002631},10.316795241294141,8.9343052597780321,7.3567617454066188,9.6198889587463956,11.520703344479859,null,null,null,{"$f":"G714","v":17.910536410554013},10.85978446452015,9.4045318523979287,7.7439597320069673,10.126198903943575,12.127056152084062,null,null,null,{"$f":"Y714*$AU$198","v":17.01500959002631},{"$f":"Z714*$AU$198","v":10.316795241294141},{"$f":"AA714*$AU$198","v":8.9343052597780321},{"$f":"AB714*$AU$198","v":7.3567617454066188},{"$f":"AC714*$AU$198","v":9.6198889587463956},{"$f":"AD714*$AU$198","v":11.520703344479859}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G667 / 'Speed-Vol., non-Cordon'!$Y$4)^G686,'Speed-Vol., non-Cordon'!$Y$6)","v":54.930627362015571},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H667 / 'Speed-Vol., non-Cordon'!$Y$4)^H686,'Speed-Vol., non-Cordon'!$Y$6)","v":28.957967916237283},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I667 / 'Speed-Vol., non-Cordon'!$Y$4)^I686,'Speed-Vol., non-Cordon'!$Y$6)","v":23.550711577526059},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J667 / 'Speed-Vol., non-Cordon'!$Y$4)^J686,'Speed-Vol., non-Cordon'!$Y$6)","v":21.185354389083251},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K667 / 'Speed-Vol., non-Cordon'!$Y$4)^K686,'Speed-Vol., non-Cordon'!$Y$6)","v":27.461476767821487},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L667 / 'Speed-Vol., non-Cordon'!$Y$4)^L686,'Speed-Vol., non-Cordon'!$Y$6)","v":34.249298057746088},null,null,{"$f":"ROW()","v":715},54.930627362015571,28.957967916237283,23.550711577526059,21.185354389083251,27.461476767821487,34.249298057746088,null,"Avgs are wghtd by periods' cordon VMT.",null,54.930627362015571,28.957967916237283,23.550711577526059,21.185354389083251,27.461476767821487,34.249298057746088,null,"Avgs are wghtd by periods' cordon VMT.",null,54.930627362015571,28.957967916237283,23.550711577526059,21.185354389083251,27.461476767821487,34.249298057746088,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G715*$AV$198","v":54.381321088395417},28.668388237074911,23.315204461750799,20.973500845192419,27.186862000143272,33.906805077168627,null,"Avgs are wghtd by periods' cordon VMT.",null,54.930627362015571,28.957967916237283,23.550711577526059,21.185354389083251,27.461476767821487,34.249298057746088,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y715*$AV$198","v":54.381321088395417},{"$f":"Z715*$AV$198","v":28.668388237074911},{"$f":"AA715*$AV$198","v":23.315204461750799},{"$f":"AB715*$AV$198","v":20.973500845192419},{"$f":"AC715*$AV$198","v":27.186862000143272},{"$f":"AD715*$AV$198","v":33.906805077168627},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":716}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":717}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":718},{"$f":"($I$99)*60/P714","v":5.0249751284370436},8.2874572966008433,9.5698543438982746,11.621961259433759,8.8878364778071024,7.4214218909618301,null,{"$f":"SUMPRODUCT(P$562:V$562,P718:V718)/W$562","v":8.226467543536744},null,{"$f":"($J$99)*60/Y714","v":5.0249751284370436},8.2874572966008433,9.5698543438982746,11.621961259433759,8.8878364778071024,7.4214218909618301,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y718:AE718)/AF$562","v":8.4447787393801406},null,{"$f":"($K$99)*60/AH714","v":4.6899767865412416},7.7349601434941215,8.9318640543050574,10.847163842138176,8.2953140459532975,6.9266604315643763,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH718:AN718)/AO$562","v":7.5398310978644938},null,{"$f":"($L$99)*60/AQ714","v":5.289447503617942},8.7236392595798371,10.073530888313973,12.233643430982903,9.3556173450601072,7.8120230431177164,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ718:AW718)/AX$562","v":8.3290081288315907},null,{"$f":"($M$99)*60/AZ714","v":10.049950256874087},16.574914593201687,19.139708687796549,23.243922518867517,17.775672955614205,14.84284378192366,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ718:BF718)/BG$562","v":16.601651504955651},null,{"$f":"($L$99)*60/BI714","v":5.289447503617942},8.7236392595798371,10.073530888313973,12.233643430982903,9.3556173450601072,7.8120230431177164,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI718:BO718)/BP$562","v":8.3047371044874314}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":719},{"$f":"60*$I$99/(1/($P$152/$P714+$Q$152/$Q714+$R$152/$R714+$S$152/$S714+$T$152/$T714+$U$152/$U714))","v":8.2060750059702308},8.2060750059702308,8.2060750059702308,8.2060750059702308,8.2060750059702308,8.2060750059702308,null,{"$f":"SUMPRODUCT(P$463:V$463,P719:V719)/W$463","v":8.206075005970229},null,{"$f":"60*$J$99/(1/($Y$152/$Y714+$Z$152/$Z714+$AA$152/$AA714+$AB$152/$AB714+$AC$152/$AC714+$AD$152/$AD714))","v":8.2060750059702325},8.2060750059702325,8.2060750059702325,8.2060750059702325,8.2060750059702325,8.2060750059702325,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y719:AE719)/AF$463","v":8.2060750059702325},null,{"$f":"AH718","v":4.6899767865412416},7.7349601434941215,8.9318640543050574,10.847163842138176,8.2953140459532975,6.9266604315643763,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH719:AN719)/AO$463","v":7.3789974980638826},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ714+$BA$152/$BA714+$BB$152/$BB714+$BC$152/$BC714+$BD$152/$BD714+$BE$152/$BE714))","v":16.412150011940465},16.412150011940465,16.412150011940465,16.412150011940465,16.412150011940465,16.412150011940465,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ719:BF719)/BG$463","v":16.412150011940469}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":720},{"$f":"($I$93)*60/P715","v":18.412579851300833},34.926986779968175,42.946242165792285,47.741215181481273,36.830304908085154,29.530957419327688,null,{"$f":"SUMPRODUCT(P$562:V$562,P720:V720)/W$562","v":34.326545370059904},null,{"$f":"($J$93)*60/Y715","v":18.412579851300833},34.926986779968175,42.946242165792285,47.741215181481273,36.830304908085154,29.530957419327688,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y720:AE720)/AF$562","v":35.137500817230531},null,{"$f":"($K$93)*60/AH715","v":27.618869776951254},52.390480169952269,64.419363248688441,71.611822772221913,55.245457362127738,44.296436128991537,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH720:AN720)/AO$562","v":50.134034100324556},null,{"$f":"($L$93)*60/AQ715","v":6.6199200901138351},12.557385403844785,15.440568003192483,17.16451643706014,13.241690048601521,10.617337704943731,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ720:AW720)/AX$562","v":11.715947025301897},null,{"$f":"($M$93)*60/AZ715","v":17.21192620683059},32.649456183691079,40.145789291231239,44.628090108188843,34.428662108870434,27.605292904275689,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ720:BF720)/BG$562","v":32.223955577801988},null,{"$f":"($L$93)*60/BI715","v":6.6199200901138351},12.557385403844785,15.440568003192483,17.16451643706014,13.241690048601521,10.617337704943731,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI720:BO720)/BP$562","v":11.670083441387561}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":721},{"$f":"60*$I$93/(1/($P$152/$P715+$Q$152/$Q715+$R$152/$R715+$S$152/$S715+$T$152/$T715+$U$152/$U715))","v":34.039014389368255},34.039014389368255,34.039014389368255,34.039014389368255,34.039014389368255,34.039014389368255,null,{"$f":"SUMPRODUCT(P$562:V$562,P721:V721)/W$562","v":34.039014389368248},null,{"$f":"60*$J$93/(1/($Y$152/$Y715+$Z$152/$Z715+$AA$152/$AA715+$AB$152/$AB715+$AC$152/$AC715+$AD$152/$AD715))","v":34.039014389368262},34.039014389368262,34.039014389368262,34.039014389368262,34.039014389368262,34.039014389368262,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y721:AE721)/AF$562","v":34.039014389368255},null,{"$f":"AH720","v":27.618869776951254},52.390480169952269,64.419363248688441,71.611822772221913,55.245457362127738,44.296436128991537,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH721:AN721)/AO$562","v":50.134034100324556},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ715+$BA$152/$BA715+$BB$152/$BB715+$BC$152/$BC715+$BD$152/$BD715+$BE$152/$BE715))","v":31.819386992728202},31.819386992728202,31.819386992728202,31.819386992728202,31.819386992728202,31.819386992728202,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ721:BF721)/BG$562","v":31.819386992728198}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":722},{"$f":"SUM(P718:P721)","v":65.682644375076364},85.459533471907505,94.761185905029038,101.60826583625351,87.963230781230749,79.197468705628012,null,{"$f":"SUM(W718:W721)","v":84.798102308935128},null,{"$f":"SUM(Y718:Y721)","v":65.682644375076364},85.45953347190752,94.761185905029052,101.60826583625352,87.963230781230749,79.197468705628012,null,{"$f":"SUM(AF718:AF721)","v":85.827368951949154},null,{"$f":"SUM(AH718:AH721)","v":64.617693126984989},120.25088062689278,146.70245460598699,164.9179732287202,127.08154281616207,102.44619312111183,null,{"$f":"SUM(AO718:AO721)","v":115.18689679657749},null,{"$f":"AQ718+AQ720","v":11.909367593731776},21.281024663424624,25.514098891506457,29.398159868043045,22.59730739366163,18.429360748061448,null,{"$f":"AX718+AX720","v":20.04495515413349},null,{"$f":"SUM(AZ718:AZ721)","v":75.493413468373348},97.455907781561422,107.51703498369645,116.10354963172503,100.43587206915331,90.679673690868015,null,{"$f":"SUM(BG718:BG721)","v":97.057144087426309},null,{"$f":"BI718+BI720","v":11.909367593731776},21.281024663424624,25.514098891506457,29.398159868043045,22.59730739366163,18.429360748061448,null,{"$f":"BP718+BP720","v":19.974820545874991}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":723}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":724},{"$f":"P722/P674","v":0.99795981823778723},0.99712506252116684,0.99737795512104244,0.9962338299353255,0.99780102872109622,0.99782148945969695,null,{"$f":"W722/W674","v":0.99737202515375667},null,{"$f":"Y722/Y674","v":0.99795981823778723},0.99712506252116706,0.99737795512104266,0.99623382993532572,0.99780102872109622,0.99782148945969695,null,{"$f":"AF722/AF674","v":0.997276106854601},null,{"$f":"AH722/AH674","v":0.9993800573478131},0.99751771836008218,0.9991618022738149,0.99754814744968268,0.99964910119530448,0.99923378997068657,null,{"$f":"AO722/AO674","v":0.9987748025745562},null,{"$f":"AQ722/AQ674","v":0.99813794310900916},0.99486952411495655,0.99131789469631193,0.98833282942860923,0.99339824135507271,0.9954921176553494,null,{"$f":"AX722/AX674","v":0.99296287493620783},null,{"$f":"AZ722/AZ674","v":0.99572134678125979},0.99487764924727184,0.99373744718604706,0.99214585747729278,0.99461453029355917,0.99524461900694261,null,{"$f":"BG722/BG674","v":0.99416317687805944},null,{"$f":"BI722/BI674","v":0.99813794310900916},0.99486952411495655,0.99131789469631193,0.98833282942860923,0.99339824135507271,0.9954921176553494,null,{"$f":"BP722/BP674","v":0.99299072254085163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":725}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":726}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$714,G$666,G$618,G$567,G$483)","v":17.884920053368713},10.759256431046236,9.4404981900855063,7.7379557018912637,10.186979260025916,12.133814194968906,null,null,{"$f":"ROW()","v":727},{"$f":"G727","v":17.884920053368713},10.759256431046236,9.4404981900855063,7.7379557018912637,10.186979260025916,12.133814194968906,null,null,null,{"$f":"G727","v":17.884920053368713},10.759256431046236,9.4404981900855063,7.7379557018912637,10.186979260025916,12.133814194968906,null,null,null,{"$f":"P727","v":17.884920053368713},10.759256431046236,9.4404981900855063,7.7379557018912637,10.186979260025916,12.133814194968906,null,null,null,{"$f":"G727*$AU$198","v":16.990674050700278},10.221293609493923,8.9684732805812306,7.3510579167966998,9.6776302970246206,11.527123485220461,null,null,null,{"$f":"G727","v":17.884920053368713},10.759256431046236,9.4404981900855063,7.7379557018912637,10.186979260025916,12.133814194968906,null,null,null,{"$f":"Y727*$AU$198","v":16.990674050700278},{"$f":"Z727*$AU$198","v":10.221293609493923},{"$f":"AA727*$AU$198","v":8.9684732805812306},{"$f":"AB727*$AU$198","v":7.3510579167966998},{"$f":"AC727*$AU$198","v":9.6776302970246206},{"$f":"AD727*$AU$198","v":11.527123485220461}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$715,G$667,G$619,G$568,G$507)","v":54.932439945808085},28.989779775960578,23.508870301583624,21.162622838805383,27.405270549236469,34.212814457020123,null,null,{"$f":"ROW()","v":728},54.932439945808085,28.989779775960578,23.508870301583624,21.162622838805383,27.405270549236469,34.212814457020123,null,null,null,54.932439945808085,28.989779775960578,23.508870301583624,21.162622838805383,27.405270549236469,34.212814457020123,null,null,null,54.932439945808085,28.989779775960578,23.508870301583624,21.162622838805383,27.405270549236469,34.212814457020123,null,null,null,{"$f":"G728*$AV$198","v":54.383115546350005},28.69988197820097,23.273781598567787,20.950996610417331,27.131217843744103,33.870686312449919,null,null,null,54.932439945808085,28.989779775960578,23.508870301583624,21.162622838805383,27.405270549236469,34.212814457020123,null,null,null,{"$f":"Y728*$AV$198","v":54.383115546350005},{"$f":"Z728*$AV$198","v":28.69988197820097},{"$f":"AA728*$AV$198","v":23.273781598567787},{"$f":"AB728*$AV$198","v":20.950996610417331},{"$f":"AC728*$AV$198","v":27.131217843744103},{"$f":"AD728*$AV$198","v":33.870686312449919}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":729}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":730},{"$f":"P724^Elasticities!$G$67","v":1.0020443526131295},{"$f":"Q724^Elasticities!$G$67","v":1.0028832265749734},{"$f":"R724^Elasticities!$G$67","v":1.0026289380725679},{"$f":"S724^Elasticities!$G$67","v":1.0037804077230734},{"$f":"T724^Elasticities!$G$67","v":1.0022038174100925},{"$f":"U724^Elasticities!$G$67","v":1.002183266810061},null,null,null,{"$f":"Y724^Elasticities!$H$67","v":1.0020443526131295},{"$f":"Z724^Elasticities!$H$67","v":1.0028832265749732},{"$f":"AA724^Elasticities!$H$67","v":1.0026289380725677},{"$f":"AB724^Elasticities!$H$67","v":1.0037804077230732},{"$f":"AC724^Elasticities!$H$67","v":1.0022038174100925},{"$f":"AD724^Elasticities!$H$67","v":1.002183266810061},null,null,null,{"$f":"AH724^Elasticities!$J$67","v":1.0006203272194887},{"$f":"AI724^Elasticities!$J$67","v":1.0024884586952487},{"$f":"AJ724^Elasticities!$J$67","v":1.0008389008910044},{"$f":"AK724^Elasticities!$J$67","v":1.0024578789069838},{"$f":"AL724^Elasticities!$J$67","v":1.0003510219778879},{"$f":"AM724^Elasticities!$J$67","v":1.0007667975572923},null,null,null,{"$f":"AQ724^Elasticities!$G$69","v":1.0011189011077093},{"$f":"AR724^Elasticities!$G$69","v":1.0030909764254026},{"$f":"AS724^Elasticities!$G$69","v":1.005245719474251},{"$f":"AT724^Elasticities!$G$69","v":1.0070663090109209},{"$f":"AU724^Elasticities!$G$69","v":1.0039820955406995},{"$f":"AV724^Elasticities!$G$69","v":1.002714521751144},null,null,null,{"$f":"AZ724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0014302995204172},{"$f":"BA724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0017133043533244},{"$f":"BB724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0020962757388161},{"$f":"BC724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0026318401461591},{"$f":"BD724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0018016288616467},{"$f":"BE724^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0015901709134012},null,null,null,{"$f":"BI724^Elasticities!$G$69","v":1.0011189011077093},{"$f":"BJ724^Elasticities!$G$69","v":1.0030909764254026},{"$f":"BK724^Elasticities!$G$69","v":1.005245719474251},{"$f":"BL724^Elasticities!$G$69","v":1.0070663090109209},{"$f":"BM724^Elasticities!$G$69","v":1.0039820955406995},{"$f":"BN724^Elasticities!$G$69","v":1.002714521751144}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":731},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":732},{"$f":"(P679/P727)^Elasticities!$G$67","v":1.0003582002728411},{"$f":"(Q679/Q727)^Elasticities!$G$67","v":1.0023413188983896},{"$f":"(R679/R727)^Elasticities!$G$67","v":0.99904845820923072},{"$f":"(S679/S727)^Elasticities!$G$67","v":1.000194017490986},{"$f":"(T679/T727)^Elasticities!$G$67","v":0.99851060288711835},{"$f":"(U679/U727)^Elasticities!$G$67","v":0.99986077951420982},null,null,null,{"$f":"(Y679/Y727)^Elasticities!$H$67","v":1.0003582002728411},{"$f":"(Z679/Z727)^Elasticities!$H$67","v":1.0023413188983896},{"$f":"(AA679/AA727)^Elasticities!$H$67","v":0.99904845820923072},{"$f":"(AB679/AB727)^Elasticities!$H$67","v":1.000194017490986},{"$f":"(AC679/AC727)^Elasticities!$H$67","v":0.99851060288711835},{"$f":"(AD679/AD727)^Elasticities!$H$67","v":0.99986077951420982},null,null,null,{"$f":"(AH679/AH727)^Elasticities!$J$67","v":1.0003582002728411},{"$f":"(AI679/AI727)^Elasticities!$J$67","v":1.0023413188983896},{"$f":"(AJ679/AJ727)^Elasticities!$J$67","v":0.99904845820923072},{"$f":"(AK679/AK727)^Elasticities!$J$67","v":1.000194017490986},{"$f":"(AL679/AL727)^Elasticities!$J$67","v":0.99851060288711835},{"$f":"(AM679/AM727)^Elasticities!$J$67","v":0.99986077951420982},null,null,null,{"$f":"(AQ679/AQ727)^Elasticities!$G$69","v":1.0002149047693858},{"$f":"(AR679/AR727)^Elasticities!$G$69","v":1.0014041342438602},{"$f":"(AS679/AS727)^Elasticities!$G$69","v":0.99942896622545008},{"$f":"(AT679/AT727)^Elasticities!$G$69","v":1.000116405977866},{"$f":"(AU679/AU727)^Elasticities!$G$69","v":0.9991060953506341},{"$f":"(AV679/AV727)^Elasticities!$G$69","v":0.99991646538249368},null,null,null,{"$f":"(AZ679/AZ727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001193858374016},{"$f":"(BA679/BA727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0007798313377996},{"$f":"(BB679/BB727)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99968271874632952},{"$f":"(BC679/BC727)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000646683149144},{"$f":"(BD679/BD727)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99950328761336138},{"$f":"(BE679/BE727)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995359101764303},null,null,null,{"$f":"(BI679/BI727)^Elasticities!$G$69","v":1.0002149047693858},{"$f":"(BJ679/BJ727)^Elasticities!$G$69","v":1.0014041342438602},{"$f":"(BK679/BK727)^Elasticities!$G$69","v":0.99942896622545008},{"$f":"(BL679/BL727)^Elasticities!$G$69","v":1.000116405977866},{"$f":"(BM679/BM727)^Elasticities!$G$69","v":0.9991060953506341},{"$f":"(BN679/BN727)^Elasticities!$G$69","v":0.99991646538249368}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":733},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P734+$J$85*$J$93*Y734+$K$85*$K$93*AH734+$L$85*$L$93*AQ734+$M$85*$M$93*AZ734+$N$85*$N$93*BI734)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.99999210292929319},0.99973744115505447,1.0004261522168172,1.0002571433677274,1.0004911012087403,1.0002552841327086,null,null,{"$f":"ROW()","v":734},{"$f":"(P680/P728)^Elasticities!$G$67","v":0.99999175091784498},{"$f":"(Q680/Q728)^Elasticities!$G$67","v":0.99972573838782897},{"$f":"(R680/R728)^Elasticities!$G$67","v":1.0004451500758287},{"$f":"(S680/S728)^Elasticities!$G$67","v":1.0002686063099184},{"$f":"(T680/T728)^Elasticities!$G$67","v":1.0005129948633913},{"$f":"(U680/U728)^Elasticities!$G$67","v":1.0002666641883668},null,null,null,{"$f":"(Y680/Y728)^Elasticities!$H$67","v":0.99999175091784498},{"$f":"(Z680/Z728)^Elasticities!$H$67","v":0.99972573838782897},{"$f":"(AA680/AA728)^Elasticities!$H$67","v":1.0004451500758287},{"$f":"(AB680/AB728)^Elasticities!$H$67","v":1.0002686063099184},{"$f":"(AC680/AC728)^Elasticities!$H$67","v":1.0005129948633913},{"$f":"(AD680/AD728)^Elasticities!$H$67","v":1.0002666641883668},null,null,null,{"$f":"(AH680/AH728)^Elasticities!$J$67","v":0.99999175091784498},{"$f":"(AI680/AI728)^Elasticities!$J$67","v":0.99972573838782897},{"$f":"(AJ680/AJ728)^Elasticities!$J$67","v":1.0004451500758287},{"$f":"(AK680/AK728)^Elasticities!$J$67","v":1.0002686063099184},{"$f":"(AL680/AL728)^Elasticities!$J$67","v":1.0005129948633913},{"$f":"(AM680/AM728)^Elasticities!$J$67","v":1.0002666641883668},null,null,null,{"$f":"(AQ680/AQ728)^Elasticities!$G$69","v":0.99999505054254123},{"$f":"(AR680/AR728)^Elasticities!$G$69","v":0.99983543400520991},{"$f":"(AS680/AS728)^Elasticities!$G$69","v":1.0002670662714048},{"$f":"(AT680/AT728)^Elasticities!$G$69","v":1.0001611551291143},{"$f":"(AU680/AU728)^Elasticities!$G$69","v":1.0003077653459449},{"$f":"(AV680/AV728)^Elasticities!$G$69","v":1.0001599899809073},null,null,null,{"$f":"(AZ680/AZ728)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999725029838737},{"$f":"(BA680/BA728)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99990857110362141},{"$f":"(BB680/BB728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001483613464319},{"$f":"(BC680/BC728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000895274212411},{"$f":"(BD680/BD728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001709690557132},{"$f":"(BE680/BE728)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000888801628716},null,null,null,{"$f":"(BI680/BI728)^Elasticities!$G$69","v":0.99999505054254123},{"$f":"(BJ680/BJ728)^Elasticities!$G$69","v":0.99983543400520991},{"$f":"(BK680/BK728)^Elasticities!$G$69","v":1.0002670662714048},{"$f":"(BL680/BL728)^Elasticities!$G$69","v":1.0001611551291143},{"$f":"(BM680/BM728)^Elasticities!$G$69","v":1.0003077653459449},{"$f":"(BN680/BN728)^Elasticities!$G$69","v":1.0001599899809073}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":735},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 6 • (Rebound Effect 5)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":736},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":737},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":738}]
[null,"Period entries with fourth rebound effect but before fifth",null,null,null,null,{"$f":"P739+Y739+AH739+AQ739+AZ739+BI739","v":127089.28930639318},54407.428018779923,126159.15550339816,86347.936680306884,48382.007695927197,38706.663244068754,null,{"$f":"SUM(G739:M739)","v":481092.48044887406},{"$f":"ROW()","v":739},{"$f":"P693","v":24821.880684710181},2524.5832451091596,27501.774325700888,7904.1540054886564,10831.457688114237,560.20929048266692,null,{"$f":"SUM(P739:V739)","v":74144.059239605791},null,{"$f":"Y693","v":43967.589788269441},28489.487218563143,51358.821280266515,46226.767117440242,18471.541612926827,20249.493449617348,null,{"$f":"SUM(Y739:AE739)","v":208763.70046708349},null,{"$f":"AH693","v":30661.925900132283},14228.684049859197,18806.339943897776,12512.152017545483,6702.3132636461432,6866.6419790271802,null,{"$f":"SUM(AH739:AN739)","v":89778.057154108043},null,{"$f":"AQ693","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ739:AW739)","v":33794.15699001529},null,{"$f":"AZ693","v":3929.6592985135271},2313.057076076519,3671.121830561794,2818.9997121887036,1519.2629912803395,1579.857443240031,null,{"$f":"SUM(AZ739:BF739)","v":15831.958351860914},null,{"$f":"BI693","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI739:BO739)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O693,\".\")","v":"Above row repeats figures in Row 693."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":740},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O741, \" figures are set equal to Row \",$O739, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 741 figures are set equal to Row 739 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O741, \" figures are set equal to Row \",$O739, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 741 figures are set equal to Row 739 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P741+Y741+AH741+AQ741+AZ741+BI741","v":127254.56025715827},54536.219074242625,126389.94746457515,86590.746143716518,48451.675963266513,38759.873945038329,null,{"$f":"SUM(G741:M741)","v":481983.02284799737},{"$f":"ROW()","v":741},{"$f":"P739*P730","v":24872.625361350758},2531.8621906121912,27574.074787288893,7934.0349303353678,10855.328243143982,561.43237683326549,null,{"$f":"SUM(P741:V741)","v":74329.35788956446},null,{"$f":"Y739*Y730","v":44057.475045346095},28571.628865219063,51493.840440892411,46401.523144863721,18512.249517924643,20293.703496586444,null,{"$f":"SUM(Y741:AE741)","v":209330.42051083239},null,{"$f":"AH739*AH730","v":30680.946327370079},14264.091542405016,18822.116599233243,12542.905372070381,6704.6659229043726,6871.907303323499,null,{"$f":"SUM(AH741:AN741)","v":89886.633067306597},null,{"$f":"AQ739","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ741:AW741)","v":33794.15699001529},null,{"$f":"AZ739*AZ730","v":3935.2798883235937},2317.0200468344487,3678.817514189439,2826.4188688032527,1522.0001393338619,1582.3696865935917,null,{"$f":"SUM(AZ741:BF741)","v":15861.906144078188},null,{"$f":"BI739","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI741:BO741)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193716.66558548578,83853.449527375109,193220.93580822358,132871.45698157261,74290.047561610132,59826.174717115529,null,{"$f":"SUM(G742:M742)","v":737778.73018138274},{"$f":"ROW()","v":742},{"$f":"P741*$I$99","v":37308.938042026137},3797.7932859182865,41361.112180933342,11901.052395503051,16282.992364715974,842.14856524989818,null,{"$f":"SUM(P742:V742)","v":111494.03683434668},null,{"$f":"Y741*$J$99","v":66086.212568019138},42857.443297828591,77240.760661338616,69602.284717295581,27768.374276886963,30440.555244879666,null,{"$f":"SUM(Y742:AE742)","v":313995.63076624856},null,{"$f":"AH741*$K$99","v":42953.324858318112},19969.728159367023,26350.963238926543,17560.067520898534,9386.532292066122,9620.6702246529003,null,{"$f":"SUM(AH742:AN742)","v":125841.28629422924},null,{"$f":"AQ741*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ742:AW742)","v":50691.235485022939},null,{"$f":"AZ741*$M$99","v":11805.839664970781},6951.0601405033467,11036.452542568317,8479.2566064097591,4566.0004180015858,4747.1090597807752,null,{"$f":"SUM(AZ742:BF742)","v":47585.718432234571},null,{"$f":"BI741*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI742:BO742)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":743}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":744}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P745+Y745+AH745+AQ745+AZ745+BI745","v":138364.56689250914},42372.580765174527,127537.130169254,82455.848463145943,46829.053245193179,43533.300913597304,null,{"$f":"SUM(G745:M745)","v":481092.48044887412},{"$f":"ROW()","v":745},{"$f":"P$152*$W739","v":21880.81603371898},6778.7593052465709,19602.149633252382,12513.262288948457,6864.7618624688139,6504.3101159705766,null,{"$f":"W$152*$W739","v":74144.059239605776},null,{"$f":"Y$152*$AF739","v":61608.713783485517},19086.611815596549,55192.787345547658,35232.963600145842,19328.764892720723,18313.859029587202,null,{"$f":"SUM(Y745:AE745)","v":208763.70046708352},null,{"$f":"AH$152*$AO739","v":26494.599467578209},8208.1268085640386,23735.454035910796,15151.805667006971,8312.263843639852,7875.8073314081794,null,{"$f":"SUM(AH745:AN745)","v":89778.057154108043},null,{"$f":"AQ739","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ745:AW745)","v":33794.15699001529},null,{"$f":"AZ$152*$BG739","v":4672.203972958675},1447.4664065954635,4185.6410315719777,2671.9530794008506,1465.830506404134,1388.8633549298149,null,{"$f":"SUM(AZ745:BF745)","v":15831.958351860916},null,{"$f":"BI739","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI745:BO745)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":746}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":747},{"$f":"P745*$W741/$W739","v":21935.499924952121},6795.7005809271723,19651.13874850424,12544.535065655054,6881.9180732084023,6520.5654963174629,null,{"$f":"SUM(P747:V747)","v":74329.35788956446},null,{"$f":"Y745*$AF741/$AF739","v":61775.959779281591},19138.42525566756,55342.61635695678,35328.608708122963,19381.235693253129,18363.574717550375,null,{"$f":"SUM(Y747:AE747)","v":209330.42051083242},null,{"$f":"AH745*$AO741/$AO739","v":26526.641543595561},8218.0535645235668,23764.159252740203,15170.129979083345,8322.3165409935209,7885.3321863704068,null,{"$f":"SUM(AH747:AN747)","v":89886.633067306597},null,{"$f":"AQ745*$AX741/$AX739","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ747:AW747)","v":33794.15699001529},null,{"$f":"AZ745*$BG741/$BG739","v":4681.0419316413063},1450.204439517405,4193.558605956885,2677.0073559380799,1468.6032769266367,1391.4905340978764,null,{"$f":"SUM(AZ747:BF747)","v":15861.90614407819},null,{"$f":"BI745*$AX741/$AX739","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI747:BO747)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":748}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P749+Y749+AH749+AQ749+AZ749+BI749","v":203419.37635142196},62465.14554659569,186264.86681824102,120075.51650529722,67666.394795317727,63171.91570092817,null,{"$f":"SUM(G749:M749)","v":703063.21571780171},{"$f":"ROW()","v":749},{"$f":"P747*$I$99","v":32903.249887428181},10193.550871390758,29476.708122756361,18816.80259848258,10322.877109812604,9780.8482444761939,null,{"$f":"SUM(P749:V749)","v":111494.03683434667},null,{"$f":"Y747*$J$99","v":92663.939668922394},28707.637883501338,83013.924535435173,52992.913062184445,29071.853539879696,27545.36207632556,null,{"$f":"SUM(Y749:AE749)","v":313995.63076624862},null,{"$f":"AH747*$K$99","v":37137.298161033788},11505.274990332995,33269.822953836287,21238.181970716687,11651.243157390931,11039.46506091857,null,{"$f":"SUM(AH749:AN749)","v":125841.28629422927},null,{"$f":"AQ747*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR747*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS747*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT747*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU747*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV747*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ749:AW749)","v":38018.426613767202},null,{"$f":"AZ747*$M$99","v":14043.125794923919},4350.6133185522149,12580.675817870655,8031.0220678142396,4405.80983077991,4174.4716022936291,null,{"$f":"SUM(AZ749:BF749)","v":47585.718432234564},null,{"$f":"BI747*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ747*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK747*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL747*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM747*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN747*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI749:BO749)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":750},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":751},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O753, \" figures are set equal to Row \",$O752, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 753 figures are set equal to Row 752 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O753, \" figures are set equal to Row \",$O752, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 753 figures are set equal to Row 752 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P752+Y752+AH752+AQ752+AZ752+BI752","v":537385.35246018483},124192.85527593811,352982.20879387966,223753.51761898116,143612.19425822989,136827.28184637727,null,{"$f":"SUM(G752:M752)","v":1518753.4102535909},{"$f":"ROW()","v":752},{"$f":"P705","v":9311.9585286260772},3010.7250262509278,11300.862320828328,6895.5415860106987,4112.2020602819366,3322.6753318725573,null,{"$f":"SUM(P752:V752)","v":37953.96485387053},null,{"$f":"Y705","v":27924.206464915049},9028.4022403740237,33888.425480879938,20677.983728475694,12331.453045431923,9963.8622420689608,null,{"$f":"SUM(Y752:AE752)","v":113814.33320214559},null,{"$f":"AH705","v":0},0,0,0,0,0,null,{"$f":"SUM(AH752:AN752)","v":0},null,{"$f":"AQ705","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ752:AW752)","v":510435.42163078324},null,{"$f":"AZ705","v":5228.2164283289412},1760.3439360103218,5718.5418055238397,3576.2193562178445,2086.7512066047643,1743.6355626007673,null,{"$f":"SUM(AZ752:BF752)","v":20113.70829528648},null,{"$f":"BI705","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI752:BO752)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537399.31463964144,124222.41548349417,352937.39491192804,223759.09863325983,143586.66661061806,136825.35116780971,null,{"$f":"SUM(G753:M753)","v":1518730.2414467512},{"$f":"ROW()","v":753},{"$f":"P752*P732","v":9315.2940747117154},3017.7740936527439,11290.109078058329,6896.8794416882065,4106.077358405767,3322.2127473987312,null,{"$f":"SUM(P753:V753)","v":37948.346793915494},null,{"$f":"Y752*Y732","v":27934.208923289651},9049.5406091616751,33856.17922781151,20681.995618997342,12313.086614868422,9962.4750683272741,null,{"$f":"SUM(Y753:AE753)","v":113797.48606245589},null,{"$f":"AH752*AH732","v":0},0,0,0,0,0,null,{"$f":"SUM(AH753:AN753)","v":0},null,{"$f":"AQ752","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ753:AW753)","v":510435.42163078324},null,{"$f":"AZ752*AZ732","v":5228.8406033253541},1761.7167073769281,5716.7274194106158,3576.4506242973753,2085.7146914326108,1743.5546422487057,null,{"$f":"SUM(AZ753:BF753)","v":20113.004688091587},null,{"$f":"BI752","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI753:BO753)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,13.962179456652848,29.560207556070964,-44.813881951659823,5.5810142786799588,-25.527647611829252,-1.9306785675721585,null,{"$f":"W754+AF754+AO754+AX754+BG754+BP754","v":-23.168806839650642},{"$f":"ROW()","v":754},{"$f":"P753-P752","v":3.3355460856382706},7.0490674018160462,-10.753242769998906,1.3378556775078323,-6.1247018761696381,-0.46258447382615486,null,{"$f":"W753-W752","v":-5.6180599550352781},null,{"$f":"Y753-Y752","v":10.002458374601702},21.138368787651416,-32.246253068427905,4.0118905216477287,-18.366430563501126,-1.3871737416866381,null,{"$f":"AF753-AF752","v":-16.847139689692995},null,{"$f":"AH753-AH752","v":0},0,0,0,0,0,null,{"$f":"AO753-AO752","v":0},null,{"$f":"AQ753-AQ752","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ753-AZ752","v":0.62417499641287577},1.37277136660623,-1.8143861132239181,0.23126807953076423,-1.0365151721534858,-8.0920352061639278E-2,null,{"$f":"BG753-BG752","v":-0.70360719489326584},null,{"$f":"BI753-BI752","v":0},0,0,0,0,0,null,{"$f":"BP753-BP752","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":755}]
[null,"Total Cordon VMT before fifth rebound effect",null,null,null,null,{"$f":"P756+Y756+AH756+AQ756+AZ756+BI756","v":929692.40044873103},270706.03339913732,723417.69932355033,469980.73301888583,279908.22957133991,255506.91481912544,null,{"$f":"W756+AF756+AO756+AX756+BG756+BP756","v":2929212.0105807697},{"$f":"ROW()","v":756},{"$f":"P709","v":79366.003606269805},16965.738851784525,81956.748259258238,37521.666027666375,30656.531386156512,13919.45444155242,null,{"$f":"SUM(P756:V756)","v":260386.14257268785},null,{"$f":"Y709","v":186288.66182254747},80392.550791613568,193715.8384196012,142867.57980485482,69031.912803903251,67808.890960875782,null,{"$f":"SUM(Y756:AE756)","v":740105.43460339599},null,{"$f":"AH709","v":80019.135514794689},31411.535201792532,59558.511571732,38729.540758373434,21020.407950200399,20639.429034609504,null,{"$f":"SUM(AH756:AN756)","v":251378.56003150257},null,{"$f":"AQ709","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ756:AW756)","v":565786.23283284309},null,{"$f":"AZ709","v":31033.806242745548},13041.91438402627,29288.830391925156,20049.077730986508,11042.031699658184,10649.797957110306,null,{"$f":"SUM(AZ756:BF756)","v":115105.45840645197},null,{"$f":"BI709","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI756:BO756)","v":996450.18213388755}]
[null,"Total Cordon VMT with fifth rebound effect",null,null,null,null,930365.06550934259,271056.42752750625,724091.20645997929,470589.77532129246,280117.90738566208,255708.2149615293,null,{"$f":"W757+AF757+AO757+AX757+BG757+BP757","v":2931928.5971653122},{"$f":"ROW()","v":757},{"$f":"P742+P749+P753","v":79527.482004166028},17009.11825096179,82127.929381748036,37614.734435673839,30711.946832934344,13945.209557124823,null,{"$f":"SUM(P757:V757)","v":260936.42046260883},null,{"$f":"Y742+Y749+Y753","v":186684.36116023117},80614.621790491612,194110.86442458531,143277.19339847736,69153.314431635081,67948.392389532499,null,{"$f":"SUM(Y757:AE757)","v":741788.74759495305},null,{"$f":"AH742+AH749+AH753","v":80090.6230193519},31475.003149700016,59620.786192762826,38798.249491615221,21037.775449457054,20660.135285571472,null,{"$f":"SUM(AH757:AN757)","v":251682.57258845851},null,{"$f":"AQ756","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ757:AW757)","v":565786.23283284309},null,{"$f":"AZ742+AZ749+AZ753","v":31077.806063220058},13063.390166432489,29333.855779849589,20086.729298521375,11057.524940214107,10665.13530432311,null,{"$f":"SUM(AZ757:BF757)","v":115284.44155256072},null,{"$f":"BI756","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI757:BO757)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with fifth rebound effect",null,null,null,null,{"$f":"G757/G$135","v":93036.506550934253},135528.21376375313,144818.24129199586,156863.25844043083,140058.95369283104,127854.10748076465,null,null,{"$f":"ROW()","v":758}]
[null,"Factor Change",null,null,null,null,{"$f":"G757/G756","v":1.0007235350749204},1.0012943713295532,1.0009310072687725,1.0012958878090481,1.00074909485385,1.0007878461627795,null,null,{"$f":"ROW()","v":759},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":760}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":761}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G758/$I$198)^KSE)","v":17.900895693872702},10.831332334383966,9.3844953427806423,7.7179849650062753,10.109830899048148,12.109909493475923,null,null,{"$f":"ROW()","v":762},{"$f":"G762","v":17.900895693872702},10.831332334383966,9.3844953427806423,7.7179849650062753,10.109830899048148,12.109909493475923,null,null,null,{"$f":"G762","v":17.900895693872702},10.831332334383966,9.3844953427806423,7.7179849650062753,10.109830899048148,12.109909493475923,null,null,null,{"$f":"P762","v":17.900895693872702},10.831332334383966,9.3844953427806423,7.7179849650062753,10.109830899048148,12.109909493475923,null,null,null,{"$f":"G762*$AU$198","v":17.005850909179067},10.289765717664768,8.9152705756416104,7.3320857167559614,9.6043393540957407,11.504414018802127,null,null,null,{"$f":"G762","v":17.900895693872702},10.831332334383966,9.3844953427806423,7.7179849650062753,10.109830899048148,12.109909493475923,null,null,null,{"$f":"Y762*$AU$198","v":17.005850909179067},{"$f":"Z762*$AU$198","v":10.289765717664768},{"$f":"AA762*$AU$198","v":8.9152705756416104},{"$f":"AB762*$AU$198","v":7.3320857167559614},{"$f":"AC762*$AU$198","v":9.6043393540957407},{"$f":"AD762*$AU$198","v":11.504414018802127}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G715 / 'Speed-Vol., non-Cordon'!$Y$4)^G734,'Speed-Vol., non-Cordon'!$Y$6)","v":54.931003155545255},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H715 / 'Speed-Vol., non-Cordon'!$Y$4)^H734,'Speed-Vol., non-Cordon'!$Y$6)","v":28.96942453714621},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I715 / 'Speed-Vol., non-Cordon'!$Y$4)^I734,'Speed-Vol., non-Cordon'!$Y$6)","v":23.533523726329904},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J715 / 'Speed-Vol., non-Cordon'!$Y$4)^J734,'Speed-Vol., non-Cordon'!$Y$6)","v":21.17544706826137},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K715 / 'Speed-Vol., non-Cordon'!$Y$4)^K734,'Speed-Vol., non-Cordon'!$Y$6)","v":27.440451692624695},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L715 / 'Speed-Vol., non-Cordon'!$Y$4)^L734,'Speed-Vol., non-Cordon'!$Y$6)","v":34.237595373956388},null,null,{"$f":"ROW()","v":763},54.931003155545255,28.96942453714621,23.533523726329904,21.17544706826137,27.440451692624695,34.237595373956388,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931003155545255,28.96942453714621,23.533523726329904,21.17544706826137,27.440451692624695,34.237595373956388,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931003155545255,28.96942453714621,23.533523726329904,21.17544706826137,27.440451692624695,34.237595373956388,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G763*$AV$198","v":54.381693123989805},28.679730291774749,23.298188489066604,20.963692597578756,27.166047175698449,33.895219420216826,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931003155545255,28.96942453714621,23.533523726329904,21.17544706826137,27.440451692624695,34.237595373956388,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y763*$AV$198","v":54.381693123989805},{"$f":"Z763*$AV$198","v":28.679730291774749},{"$f":"AA763*$AV$198","v":23.298188489066604},{"$f":"AB763*$AV$198","v":20.963692597578756},{"$f":"AC763*$AV$198","v":27.166047175698449},{"$f":"AD763*$AV$198","v":33.895219420216826},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":764}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":765}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":766},{"$f":"($I$99)*60/P762","v":5.0276813819325312},8.3092270850462064,9.5902866070721338,11.661074802304544,8.902226050929654,7.431930027923535,null,{"$f":"SUMPRODUCT(P$562:V$562,P766:V766)/W$562","v":8.2431284330338421},null,{"$f":"($J$99)*60/Y762","v":5.0276813819325312},8.3092270850462064,9.5902866070721338,11.661074802304544,8.902226050929654,7.431930027923535,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y766:AE766)/AF$562","v":8.4631108920664406},null,{"$f":"($K$99)*60/AH762","v":4.6925026231370301},7.7552786127097937,8.9509341666006588,10.883669815484243,8.3087443142010127,6.9364680260619673,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH766:AN766)/AO$562","v":7.5553527901094135},null,{"$f":"($L$99)*60/AQ762","v":5.2922961915079272},8.7465548263644273,10.095038533760139,12.274815581373206,9.3707642641364792,7.8230842399195106,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ766:AW766)/AX$562","v":8.3454472458384998},null,{"$f":"($M$99)*60/AZ762","v":10.055362763865062},16.618454170092413,19.180573214144268,23.322149604609088,17.804452101859308,14.86386005584707,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ766:BF766)/BG$562","v":16.636835025073847},null,{"$f":"($L$99)*60/BI762","v":5.2922961915079272},8.7465548263644273,10.095038533760139,12.274815581373206,9.3707642641364792,7.8230842399195106,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI766:BO766)/BP$562","v":8.3210653457078383}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":767},{"$f":"60*$I$99/(1/($P$152/$P762+$Q$152/$Q762+$R$152/$R762+$S$152/$S762+$T$152/$T762+$U$152/$U762))","v":8.2231211547680676},8.2231211547680676,8.2231211547680676,8.2231211547680676,8.2231211547680676,8.2231211547680676,null,{"$f":"SUMPRODUCT(P$463:V$463,P767:V767)/W$463","v":8.2231211547680658},null,{"$f":"60*$J$99/(1/($Y$152/$Y762+$Z$152/$Z762+$AA$152/$AA762+$AB$152/$AB762+$AC$152/$AC762+$AD$152/$AD762))","v":8.2231211547680676},8.2231211547680676,8.2231211547680676,8.2231211547680676,8.2231211547680676,8.2231211547680676,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y767:AE767)/AF$463","v":8.2231211547680694},null,{"$f":"AH766","v":4.6925026231370301},7.7552786127097937,8.9509341666006588,10.883669815484243,8.3087443142010127,6.9364680260619673,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH767:AN767)/AO$463","v":7.3940971031544862},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ762+$BA$152/$BA762+$BB$152/$BB762+$BC$152/$BC762+$BD$152/$BD762+$BE$152/$BE762))","v":16.446242309536135},16.446242309536135,16.446242309536135,16.446242309536135,16.446242309536135,16.446242309536135,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ767:BF767)/BG$463","v":16.446242309536135}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":768},{"$f":"($I$93)*60/P763","v":18.412453887310093},34.913174104935017,42.977608213153644,47.763551783570698,36.858524557633473,29.541051336640244,null,{"$f":"SUMPRODUCT(P$562:V$562,P768:V768)/W$562","v":34.342764747017206},null,{"$f":"($J$93)*60/Y763","v":18.412453887310093},34.913174104935017,42.977608213153644,47.763551783570698,36.858524557633473,29.541051336640244,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y768:AE768)/AF$562","v":35.152279445249874},null,{"$f":"($K$93)*60/AH763","v":27.618680830965143},52.369761157402536,64.466412319730466,71.645327675356043,55.287786836450209,44.31157700496037,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH768:AN768)/AO$562","v":50.152996637520964},null,{"$f":"($L$93)*60/AQ763","v":6.6198748019706377},12.552419298840016,15.451845115294743,17.172547170510359,13.251835928564542,10.620966795844897,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ768:AW768)/AX$562","v":11.720618819964423},null,{"$f":"($M$93)*60/AZ763","v":17.211808456741746},32.636544210175707,40.17511001092091,44.64897017768368,34.455041602104451,27.614728614063491,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ768:BF768)/BG$562","v":32.237041598403039},null,{"$f":"($L$93)*60/BI763","v":6.6198748019706377},12.552419298840016,15.451845115294743,17.172547170510359,13.251835928564542,10.620966795844897,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI768:BO768)/BP$562","v":11.674712711537044}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":769},{"$f":"60*$I$93/(1/($P$152/$P763+$Q$152/$Q763+$R$152/$R763+$S$152/$S763+$T$152/$T763+$U$152/$U763))","v":34.053274896189329},34.053274896189329,34.053274896189329,34.053274896189329,34.053274896189329,34.053274896189329,null,{"$f":"SUMPRODUCT(P$562:V$562,P769:V769)/W$562","v":34.053274896189329},null,{"$f":"60*$J$93/(1/($Y$152/$Y763+$Z$152/$Z763+$AA$152/$AA763+$AB$152/$AB763+$AC$152/$AC763+$AD$152/$AD763))","v":34.053274896189329},34.053274896189329,34.053274896189329,34.053274896189329,34.053274896189329,34.053274896189329,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y769:AE769)/AF$562","v":34.053274896189322},null,{"$f":"AH768","v":27.618680830965143},52.369761157402536,64.466412319730466,71.645327675356043,55.287786836450209,44.31157700496037,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH769:AN769)/AO$562","v":50.152996637520964},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ763+$BA$152/$BA763+$BB$152/$BB763+$BC$152/$BC763+$BD$152/$BD763+$BE$152/$BE763))","v":31.832717595666978},31.832717595666978,31.832717595666978,31.832717595666978,31.832717595666978,31.832717595666978,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ769:BF769)/BG$562","v":31.832717595666971}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":770},{"$f":"SUM(P766:P769)","v":65.716531320200019},85.498797240938615,94.844290871183176,101.70102263683265,88.037146659520516,79.249377415521167,null,{"$f":"SUM(W766:W769)","v":84.862289231008447},null,{"$f":"SUM(Y766:Y769)","v":65.716531320200019},85.498797240938615,94.844290871183176,101.70102263683265,88.037146659520516,79.249377415521167,null,{"$f":"SUM(AF766:AF769)","v":85.891786388273715},null,{"$f":"SUM(AH766:AH769)","v":64.622366908204341},120.25007954022466,146.83469297266225,165.05799498168057,127.19306230130245,102.49609006204467,null,{"$f":"SUM(AO766:AO769)","v":115.25544316830582},null,{"$f":"AQ766+AQ768","v":11.912170993478565},21.298974125204445,25.546883649054884,29.447362751883567,22.622600192701022,18.444051035764407,null,{"$f":"AX766+AX768","v":20.066066065802922},null,{"$f":"SUM(AZ766:AZ769)","v":75.546131125809922},97.533958285471229,107.63464313026829,116.25007968749588,100.53845360916687,90.757548575113674,null,{"$f":"SUM(BG766:BG769)","v":97.152836528679984},null,{"$f":"BI766+BI768","v":11.912170993478565},21.298974125204445,25.546883649054884,29.447362751883567,22.622600192701022,18.444051035764407,null,{"$f":"BP766+BP768","v":19.995778057244884}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":771}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":772},{"$f":"P770/P722","v":1.0005159193185058},1.0004594428197295,1.0008769937328288,1.0009128863662393,1.0008403042684233,1.0006554339518867,null,{"$f":"W770/W722","v":1.0007569381899546},null,{"$f":"Y770/Y722","v":1.0005159193185058},1.0004594428197295,1.0008769937328288,1.0009128863662391,1.0008403042684233,1.0006554339518867,null,{"$f":"AF770/AF722","v":1.0007505465577142},null,{"$f":"AH770/AH722","v":1.0000723297442724},0.99999333820539238,1.0009014052766223,1.0008490387689046,1.0008775427388517,1.0004870551009528,null,{"$f":"AO770/AO722","v":1.000595088275096},null,{"$f":"AQ770/AQ722","v":1.0002353945098028},1.0008434491319711,1.0012849663116787,1.0016736722319144,1.0011192837535363,1.0007971132533451,null,{"$f":"AX770/AX722","v":1.001053178293845},null,{"$f":"AZ770/AZ722","v":1.000698308037941},1.0008008801691608,1.0010938559325941,1.0012620635306642,1.0010213635616458,1.0008587909624724,null,{"$f":"BG770/BG722","v":1.0009859391820501},null,{"$f":"BI770/BI722","v":1.0002353945098028},1.0008434491319711,1.0012849663116787,1.0016736722319144,1.0011192837535363,1.0007971132533451,null,{"$f":"BP770/BP722","v":1.0010491964782242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":773},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":774}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$762,G$714,G$666,G$618,G$567,G$483)","v":17.887582660119381},10.771269081602524,9.4311643822013611,7.7346272457437655,10.174121199862954,12.129830078053409,null,null,{"$f":"ROW()","v":775},{"$f":"G775","v":17.887582660119381},10.771269081602524,9.4311643822013611,7.7346272457437655,10.174121199862954,12.129830078053409,null,null,null,{"$f":"G775","v":17.887582660119381},10.771269081602524,9.4311643822013611,7.7346272457437655,10.174121199862954,12.129830078053409,null,null,null,{"$f":"P775","v":17.887582660119381},10.771269081602524,9.4311643822013611,7.7346272457437655,10.174121199862954,12.129830078053409,null,null,null,{"$f":"G775*$AU$198","v":16.993203527113412},10.232705627522398,8.9596061630912924,7.3478958834565766,9.6654151398698058,11.523338574150738,null,null,null,{"$f":"G775","v":17.887582660119381},10.771269081602524,9.4311643822013611,7.7346272457437655,10.174121199862954,12.129830078053409,null,null,null,{"$f":"Y775*$AU$198","v":16.993203527113412},{"$f":"Z775*$AU$198","v":10.232705627522398},{"$f":"AA775*$AU$198","v":8.9596061630912924},{"$f":"AB775*$AU$198","v":7.3478958834565766},{"$f":"AC775*$AU$198","v":9.6654151398698058},{"$f":"AD775*$AU$198","v":11.523338574150738}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$763,G$715,G$667,G$619,G$568,G$507)","v":54.932200480764287},28.986387236158183,23.512979205708007,21.164760210381385,27.411134073134505,34.216944609842834,null,null,{"$f":"ROW()","v":776},54.932200480764287,28.986387236158183,23.512979205708007,21.164760210381385,27.411134073134505,34.216944609842834,null,null,null,54.932200480764287,28.986387236158183,23.512979205708007,21.164760210381385,27.411134073134505,34.216944609842834,null,null,null,54.932200480764287,28.986387236158183,23.512979205708007,21.164760210381385,27.411134073134505,34.216944609842834,null,null,null,{"$f":"G776*$AV$198","v":54.382878475956645},28.696523363796601,23.277849413650927,20.953112608277571,27.13702273240316,33.874775163744403,null,null,null,54.932200480764287,28.986387236158183,23.512979205708007,21.164760210381385,27.411134073134505,34.216944609842834,null,null,null,{"$f":"Y776*$AV$198","v":54.382878475956645},{"$f":"Z776*$AV$198","v":28.696523363796601},{"$f":"AA776*$AV$198","v":23.277849413650927},{"$f":"AB776*$AV$198","v":20.953112608277571},{"$f":"AC776*$AV$198","v":27.13702273240316},{"$f":"AD776*$AV$198","v":33.874775163744403}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":777}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":778},{"$f":"P772^Elasticities!$G$67","v":0.9994843467169845},{"$f":"Q772^Elasticities!$G$67","v":0.99954076817103688},{"$f":"R772^Elasticities!$G$67","v":0.99912377471125802},{"$f":"S772^Elasticities!$G$67","v":0.9990879462352078},{"$f":"T772^Elasticities!$G$67","v":0.99916040124999006},{"$f":"U772^Elasticities!$G$67","v":0.99934499536039267},null,null,null,{"$f":"Y772^Elasticities!$H$67","v":0.9994843467169845},{"$f":"Z772^Elasticities!$H$67","v":0.99954076817103688},{"$f":"AA772^Elasticities!$H$67","v":0.99912377471125802},{"$f":"AB772^Elasticities!$H$67","v":0.99908794623520802},{"$f":"AC772^Elasticities!$H$67","v":0.99916040124999006},{"$f":"AD772^Elasticities!$H$67","v":0.99934499536039267},null,null,null,{"$f":"AH772^Elasticities!$J$67","v":0.99992767548694117},{"$f":"AI772^Elasticities!$J$67","v":1.0000066618389873},{"$f":"AJ772^Elasticities!$J$67","v":0.99909940652308993},{"$f":"AK772^Elasticities!$J$67","v":0.99915168148640177},{"$f":"AL772^Elasticities!$J$67","v":0.9991232266672202},{"$f":"AM772^Elasticities!$J$67","v":0.99951318200623429},null,null,null,{"$f":"AQ772^Elasticities!$G$69","v":0.99985878988576959},{"$f":"AR772^Elasticities!$G$69","v":0.99949427174648253},{"$f":"AS772^Elasticities!$G$69","v":0.99922981187784554},{"$f":"AT772^Elasticities!$G$69","v":0.99899713927926559},{"$f":"AU772^Elasticities!$G$69","v":0.99932903050727373},{"$f":"AV772^Elasticities!$G$69","v":0.99952203682442786},null,null,null,{"$f":"AZ772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99976733895833569},{"$f":"BA772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99973318239022957},{"$f":"BB772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99963564702330343},{"$f":"BC772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9995796657658883},{"$f":"BD772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99965977711401377},{"$f":"BE772^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99971390013020756},null,null,null,{"$f":"BI772^Elasticities!$G$69","v":0.99985878988576959},{"$f":"BJ772^Elasticities!$G$69","v":0.99949427174648253},{"$f":"BK772^Elasticities!$G$69","v":0.99922981187784554},{"$f":"BL772^Elasticities!$G$69","v":0.99899713927926559},{"$f":"BM772^Elasticities!$G$69","v":0.99932903050727373},{"$f":"BN772^Elasticities!$G$69","v":0.99952203682442786}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":779},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":780},{"$f":"(P727/P775)^Elasticities!$G$67","v":1.0001488744004849},{"$f":"(Q727/Q775)^Elasticities!$G$67","v":1.0011164944932092},{"$f":"(R727/R775)^Elasticities!$G$67","v":0.99901130134276728},{"$f":"(S727/S775)^Elasticities!$G$67","v":0.99956985329514303},{"$f":"(T727/T775)^Elasticities!$G$67","v":0.99873779460674694},{"$f":"(U727/U775)^Elasticities!$G$67","v":0.999671651728675},null,null,null,{"$f":"(Y727/Y775)^Elasticities!$H$67","v":1.0001488744004849},{"$f":"(Z727/Z775)^Elasticities!$H$67","v":1.0011164944932092},{"$f":"(AA727/AA775)^Elasticities!$H$67","v":0.99901130134276728},{"$f":"(AB727/AB775)^Elasticities!$H$67","v":0.99956985329514303},{"$f":"(AC727/AC775)^Elasticities!$H$67","v":0.99873779460674694},{"$f":"(AD727/AD775)^Elasticities!$H$67","v":0.999671651728675},null,null,null,{"$f":"(AH727/AH775)^Elasticities!$J$67","v":1.0001488744004849},{"$f":"(AI727/AI775)^Elasticities!$J$67","v":1.0011164944932092},{"$f":"(AJ727/AJ775)^Elasticities!$J$67","v":0.99901130134276728},{"$f":"(AK727/AK775)^Elasticities!$J$67","v":0.99956985329514303},{"$f":"(AL727/AL775)^Elasticities!$J$67","v":0.99873779460674694},{"$f":"(AM727/AM775)^Elasticities!$J$67","v":0.999671651728675},null,null,null,{"$f":"(AQ727/AQ775)^Elasticities!$G$69","v":1.0000893219808453},{"$f":"(AR727/AR775)^Elasticities!$G$69","v":1.0006697471866186},{"$f":"(AS727/AS775)^Elasticities!$G$69","v":0.99940666344850126},{"$f":"(AT727/AT775)^Elasticities!$G$69","v":0.99974188976948519},{"$f":"(AU727/AU775)^Elasticities!$G$69","v":0.99924248547185779},{"$f":"(AV727/AV775)^Elasticities!$G$69","v":0.99980297809771179},null,null,null,{"$f":"(AZ727/AZ775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000496223377446},{"$f":"(BA727/BA775)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0003720264102565},{"$f":"(BB727/BB775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99967032510733123},{"$f":"(BC727/BC775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99985659720166808},{"$f":"(BD727/BD775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99957908772663107},{"$f":"(BE727/BE775)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9998905385948631},null,null,null,{"$f":"(BI727/BI775)^Elasticities!$G$69","v":1.0000893219808453},{"$f":"(BJ727/BJ775)^Elasticities!$G$69","v":1.0006697471866186},{"$f":"(BK727/BK775)^Elasticities!$G$69","v":0.99940666344850126},{"$f":"(BL727/BL775)^Elasticities!$G$69","v":0.99974188976948519},{"$f":"(BM727/BM775)^Elasticities!$G$69","v":0.99924248547185779},{"$f":"(BN727/BN775)^Elasticities!$G$69","v":0.99980297809771179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":781},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P782+$J$85*$J$93*Y782+$K$85*$K$93*AH782+$L$85*$L$93*AQ782+$M$85*$M$93*AZ782+$N$85*$N$93*BI782)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.99999582675755605},0.99988796829735194,1.0001673222895393,1.0000966875219821,1.0002048254771856,1.0001155678730387,null,null,{"$f":"ROW()","v":782},{"$f":"(P728/P776)^Elasticities!$G$67","v":0.9999956407353463},{"$f":"(Q728/Q776)^Elasticities!$G$67","v":0.99988297462662323},{"$f":"(R728/R776)^Elasticities!$G$67","v":1.0001747810112385},{"$f":"(S728/S776)^Elasticities!$G$67","v":1.0001009974799571},{"$f":"(T728/T776)^Elasticities!$G$67","v":1.0002139560668633},{"$f":"(U728/U776)^Elasticities!$G$67","v":1.0001207194698321},null,null,null,{"$f":"(Y728/Y776)^Elasticities!$H$67","v":0.9999956407353463},{"$f":"(Z728/Z776)^Elasticities!$H$67","v":0.99988297462662323},{"$f":"(AA728/AA776)^Elasticities!$H$67","v":1.0001747810112385},{"$f":"(AB728/AB776)^Elasticities!$H$67","v":1.0001009974799571},{"$f":"(AC728/AC776)^Elasticities!$H$67","v":1.0002139560668633},{"$f":"(AD728/AD776)^Elasticities!$H$67","v":1.0001207194698321},null,null,null,{"$f":"(AH728/AH776)^Elasticities!$J$67","v":0.9999956407353463},{"$f":"(AI728/AI776)^Elasticities!$J$67","v":0.99988297462662323},{"$f":"(AJ728/AJ776)^Elasticities!$J$67","v":1.0001747810112385},{"$f":"(AK728/AK776)^Elasticities!$J$67","v":1.0001009974799571},{"$f":"(AL728/AL776)^Elasticities!$J$67","v":1.0002139560668633},{"$f":"(AM728/AM776)^Elasticities!$J$67","v":1.0001207194698321},null,null,null,{"$f":"(AQ728/AQ776)^Elasticities!$G$69","v":0.99999738443892738},{"$f":"(AR728/AR776)^Elasticities!$G$69","v":0.99992978313249159},{"$f":"(AS728/AS776)^Elasticities!$G$69","v":1.0001048649412339},{"$f":"(AT728/AT776)^Elasticities!$G$69","v":1.0000605972639731},{"$f":"(AU728/AU776)^Elasticities!$G$69","v":1.0001283681474025},{"$f":"(AV728/AV776)^Elasticities!$G$69","v":1.0000724299332149},null,null,null,{"$f":"(AZ728/AZ776)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.9999985469096706},{"$f":"(BA728/BA776)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996099002044903},{"$f":"(BB728/BB776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000582569431422},{"$f":"(BC728/BC776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000336646933281},{"$f":"(BD728/BD776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000713136032036},{"$f":"(BE728/BE776)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000402382041427},null,null,null,{"$f":"(BI728/BI776)^Elasticities!$G$69","v":0.99999738443892738},{"$f":"(BJ728/BJ776)^Elasticities!$G$69","v":0.99992978313249159},{"$f":"(BK728/BK776)^Elasticities!$G$69","v":1.0001048649412339},{"$f":"(BL728/BL776)^Elasticities!$G$69","v":1.0000605972639731},{"$f":"(BM728/BM776)^Elasticities!$G$69","v":1.0001283681474025},{"$f":"(BN728/BN776)^Elasticities!$G$69","v":1.0000724299332149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":783},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 7 • (Rebound Effect 6)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":784},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":785},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":786}]
[null,"Period entries with fifth rebound effect but before sixth",null,null,null,null,{"$f":"P787+Y787+AH787+AQ787+AZ787+BI787","v":127254.56025715827},54536.219074242625,126389.94746457515,86590.746143716518,48451.675963266513,38759.873945038329,null,{"$f":"SUM(G787:M787)","v":481983.02284799737},{"$f":"ROW()","v":787},{"$f":"P741","v":24872.625361350758},2531.8621906121912,27574.074787288893,7934.0349303353678,10855.328243143982,561.43237683326549,null,{"$f":"SUM(P787:V787)","v":74329.35788956446},null,{"$f":"Y741","v":44057.475045346095},28571.628865219063,51493.840440892411,46401.523144863721,18512.249517924643,20293.703496586444,null,{"$f":"SUM(Y787:AE787)","v":209330.42051083239},null,{"$f":"AH741","v":30680.946327370079},14264.091542405016,18822.116599233243,12542.905372070381,6704.6659229043726,6871.907303323499,null,{"$f":"SUM(AH787:AN787)","v":89886.633067306597},null,{"$f":"AQ741","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ787:AW787)","v":33794.15699001529},null,{"$f":"AZ741","v":3935.2798883235937},2317.0200468344487,3678.817514189439,2826.4188688032527,1522.0001393338619,1582.3696865935917,null,{"$f":"SUM(AZ787:BF787)","v":15861.906144078188},null,{"$f":"BI741","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI787:BO787)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O741,\".\")","v":"Above row repeats figures in Row 741."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":788},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O789, \" figures are set equal to Row \",$O787, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 789 figures are set equal to Row 787 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O789, \" figures are set equal to Row \",$O787, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 789 figures are set equal to Row 787 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P789+Y789+AH789+AQ789+AZ789+BI789","v":127215.88165376359},54521.412164488378,126302.37469418117,86529.360773959983,48420.622690121214,38742.415650393537,null,{"$f":"SUM(G789:M789)","v":481732.06762690784},{"$f":"ROW()","v":789},{"$f":"P787*P778","v":24859.799710425963},2530.6994789077139,27549.913685646607,7926.7986639071623,10846.214123120091,561.06463602161398,null,{"$f":"SUM(P789:V789)","v":74274.490298029152},null,{"$f":"Y787*Y778","v":44034.75666369759},28558.507863838833,51448.720235683657,46359.202460987362,18496.706656369523,20280.411026641366,null,{"$f":"SUM(Y789:AE789)","v":209178.30490721835},null,{"$f":"AH787*AH778","v":30678.727342866769},14264.186567486173,18805.165523802334,12532.264993228944,6698.7874506179724,6868.5619351967516,null,{"$f":"SUM(AH789:AN789)","v":89847.693813198945},null,{"$f":"AQ787","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ789:AW789)","v":33794.15699001529},null,{"$f":"AZ787*AZ778","v":3934.3643020055356},2316.4018250837621,3677.4771260774205,2825.2308281927553,1521.4823200539863,1581.9169708322938,null,{"$f":"SUM(AZ789:BF789)","v":15856.873372245753},null,{"$f":"BI787","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI789:BO789)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193657.49619936701,83830.302327609606,193089.26117800767,132778.66090390622,74243.27877020101,59799.642738319089,null,{"$f":"SUM(G790:M790)","v":737398.64211741067},{"$f":"ROW()","v":790},{"$f":"P789*$I$99","v":37289.699565638948},3796.0492183615706,41324.87052846991,11890.197995860744,16269.321184680137,841.59695403242097,null,{"$f":"SUM(P790:V790)","v":111411.73544704373},null,{"$f":"Y789*$J$99","v":66052.134995546381},42837.761795758248,77173.080353525482,69538.803691481036,27745.059984554282,30420.616539962051,null,{"$f":"SUM(Y790:AE790)","v":313767.45736082748},null,{"$f":"AH789*$K$99","v":42950.218280013483},19969.861194480643,26327.231733323271,17545.170990520524,9378.302430865162,9615.9867092754539,null,{"$f":"SUM(AH790:AN790)","v":125786.77133847855},null,{"$f":"AQ789*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ790:AW790)","v":50691.235485022939},null,{"$f":"AZ789*$M$99","v":11803.092906016607},6949.2054752512868,11032.431378232261,8475.6924845782669,4564.4469601619585,4745.7509124968819,null,{"$f":"SUM(AZ790:BF790)","v":47570.620116737264},null,{"$f":"BI789*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI790:BO790)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W791*W789+AF791*AF789+AO791*AO789+BG791*BG789+BP791*BP789)/(W789+AF789+AO789+BG789+BP789)","v":4.3636556619908129},{"$f":"ROW()","v":791},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P789:V789,P$339:V$339)/W789","v":5.5365186665705028},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y789:AE789,Y$339:AE$339)/AF789","v":4.9303845470558132},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH789:AN789,AH$339:AN$339)/AO789","v":3.7323996372641619},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ789:BF789,AZ$339:BF$339)/BG789","v":11.14644179501625}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":792}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P793+Y793+AH793+AQ793+AZ793+BI793","v":138627.37681423829},42454.000269807599,127772.57108712927,82606.144936443263,46911.505724341339,43611.424016037636,null,{"$f":"SUM(G793:M793)","v":481983.02284799737},{"$f":"ROW()","v":793},{"$f":"P$152*$W787","v":21935.499924952121},6795.7005809271714,19651.138748504236,12544.535065655054,6881.9180732084033,6520.5654963174629,null,{"$f":"W$152*$W787","v":74329.357889564446},null,{"$f":"Y$152*$AF787","v":61775.959779281591},19138.42525566756,55342.61635695678,35328.608708122963,19381.235693253126,18363.574717550375,null,{"$f":"SUM(Y793:AE793)","v":209330.42051083239},null,{"$f":"AH$152*$AO787","v":26526.641543595561},8218.0535645235668,23764.159252740199,15170.129979083344,8322.3165409935209,7885.3321863704068,null,{"$f":"SUM(AH793:AN793)","v":89886.633067306597},null,{"$f":"AQ787","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ793:AW793)","v":33794.15699001529},null,{"$f":"AZ$152*$BG787","v":4681.0419316413063},1450.204439517405,4193.558605956885,2677.0073559380799,1468.6032769266367,1391.4905340978762,null,{"$f":"SUM(AZ793:BF793)","v":15861.90614407819},null,{"$f":"BI787","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI793:BO793)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":794}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":795},{"$f":"P793*$W789/$W787","v":21919.307829605445},6790.6842087391515,19636.632896648789,12535.275084867848,6876.8380579823697,6515.7522201855372,null,{"$f":"SUM(P795:V795)","v":74274.490298029137},null,{"$f":"Y793*$AF789/$AF787","v":61731.068609676469},19124.51780206916,55302.400150099813,35302.93622045793,19367.151794892481,18350.230330022488,null,{"$f":"SUM(Y795:AE795)","v":209178.30490721835},null,{"$f":"AH793*$AO789/$AO787","v":26515.150094862409},8214.4934703794279,23753.864522542615,15163.558217232399,8318.7112797049886,7881.9162284771073,null,{"$f":"SUM(AH795:AN795)","v":89847.693813198945},null,{"$f":"AQ793*$AX789/$AX787","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ795:AW795)","v":33794.15699001529},null,{"$f":"AZ793*$BG789/$BG787","v":4679.5566993012571},1449.7443089386345,4192.228045591818,2676.1579771122433,1468.1373086414883,1391.0490326603126,null,{"$f":"SUM(AZ795:BF795)","v":15856.873372245753},null,{"$f":"BI793*$AX789/$AX787","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI795:BO795)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":796}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P797+Y797+AH797+AQ797+AZ797+BI797","v":203307.20772874769},62430.395284377933,186164.37942680056,120011.36919955004,67631.203654278332,63138.57236007513,null,{"$f":"SUM(G797:M797)","v":702683.12765382952},{"$f":"ROW()","v":797},{"$f":"P795*$I$99","v":32878.961744408167},10186.026313108727,29454.949344973182,18802.912627301772,10315.257086973554,9773.6283302783049,null,{"$f":"SUM(P797:V797)","v":111411.7354470437},null,{"$f":"Y795*$J$99","v":92596.602914514704},28686.77670310374,82953.600225149712,52954.404330686899,29050.727692338722,27525.345495033733,null,{"$f":"SUM(Y797:AE797)","v":313767.45736082748},null,{"$f":"AH795*$K$99","v":37121.210132807377},11500.2908585312,33255.410331559666,21228.981504125361,11646.195791586984,11034.682719867951,null,{"$f":"SUM(AH797:AN797)","v":125786.77133847853},null,{"$f":"AQ795*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR795*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS795*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT795*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU795*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV795*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ797:AW797)","v":38018.426613767202},null,{"$f":"AZ795*$M$99","v":14038.670097903771},4349.2329268159037,12576.684136775453,8028.4739313367299,4404.4119259244653,4173.1470979809383,null,{"$f":"SUM(AZ797:BF797)","v":47570.620116737264},null,{"$f":"BI795*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ795*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK795*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL795*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM795*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN795*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI797:BO797)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":798},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":799},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O801, \" figures are set equal to Row \",$O800, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 801 figures are set equal to Row 800 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O801, \" figures are set equal to Row \",$O800, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 801 figures are set equal to Row 800 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P800+Y800+AH800+AQ800+AZ800+BI800","v":537399.31463964144},124222.41548349417,352937.39491192804,223759.09863325983,143586.66661061806,136825.35116780971,null,{"$f":"SUM(G800:M800)","v":1518730.2414467512},{"$f":"ROW()","v":800},{"$f":"P753","v":9315.2940747117154},3017.7740936527439,11290.109078058329,6896.8794416882065,4106.077358405767,3322.2127473987312,null,{"$f":"SUM(P800:V800)","v":37948.346793915494},null,{"$f":"Y753","v":27934.208923289651},9049.5406091616751,33856.17922781151,20681.995618997342,12313.086614868422,9962.4750683272741,null,{"$f":"SUM(Y800:AE800)","v":113797.48606245589},null,{"$f":"AH753","v":0},0,0,0,0,0,null,{"$f":"SUM(AH800:AN800)","v":0},null,{"$f":"AQ753","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ800:AW800)","v":510435.42163078324},null,{"$f":"AZ753","v":5228.8406033253541},1761.7167073769281,5716.7274194106158,3576.4506242973753,2085.7146914326108,1743.5546422487057,null,{"$f":"SUM(AZ800:BF800)","v":20113.004688091587},null,{"$f":"BI753","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI800:BO800)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537405.11960436299,124236.54397905024,352890.87417580257,223746.7227980012,143565.06435038592,136820.79831158923,null,{"$f":"SUM(G801:M801)","v":1518665.1232191923},{"$f":"ROW()","v":801},{"$f":"P800*P780","v":9316.6808835324282},3021.1434218100562,11278.946562372841,6893.9127717225683,4100.8946454188726,3321.121904586149,null,{"$f":"SUM(P801:V801)","v":37932.70018944292},null,{"$f":"Y800*Y780","v":27938.367611896127},9059.6443714178768,33822.705668869945,20673.099326731965,12297.544970535542,9959.2039068604699,null,{"$f":"SUM(Y801:AE801)","v":113750.56585631192},null,{"$f":"AH800*AH780","v":0},0,0,0,0,0,null,{"$f":"SUM(AH801:AN801)","v":0},null,{"$f":"AQ800","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ801:AW801)","v":510435.42163078324},null,{"$f":"AZ800*AZ780","v":5229.1000706197856},1762.3721125194625,5714.8427579122053,3575.9377512697552,2084.836788520241,1743.3637903076321,null,{"$f":"SUM(AZ801:BF801)","v":20110.453271149079},null,{"$f":"BI800","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI801:BO801)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,5.8049647216093945,14.128495556051121,-46.520736125463372,-12.375835258635561,-21.602260232143635,-4.5528562204599439,null,{"$f":"W802+AF802+AO802+AX802+BG802+BP802","v":-65.118227559047227},{"$f":"ROW()","v":802},{"$f":"P801-P800","v":1.3868088207127585},3.3693281573123386,-11.162515685487961,-2.9666699656381752,-5.1827129868943302,-1.0908428125821956,null,{"$f":"W801-W800","v":-15.646604472574836},null,{"$f":"Y801-Y800","v":4.158688606476062},10.103762256201662,-33.473558941564988,-8.8962922653772694,-15.541644332879514,-3.2711614668041875,null,{"$f":"AF801-AF800","v":-46.920206143971882},null,{"$f":"AH801-AH800","v":0},0,0,0,0,0,null,{"$f":"AO801-AO800","v":0},null,{"$f":"AQ801-AQ800","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ801-AZ800","v":0.25946729443148797},0.65540514253439142,-1.8846614984104235,-0.51287302762011677,-0.87790291236979101,-0.19085194107356074,null,{"$f":"BG801-BG800","v":-2.5514169425077853},null,{"$f":"BI801-BI800","v":0},0,0,0,0,0,null,{"$f":"BP801-BP800","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":803}]
[null,"Total Cordon VMT before sixth rebound effect",null,null,null,null,{"$f":"P804+Y804+AH804+AQ804+AZ804+BI804","v":930365.06550934259},271056.42752750625,724091.20645997929,470589.77532129246,280117.90738566208,255708.2149615293,null,{"$f":"W804+AF804+AO804+AX804+BG804+BP804","v":2931928.5971653122},{"$f":"ROW()","v":804},{"$f":"P757","v":79527.482004166028},17009.11825096179,82127.929381748036,37614.734435673839,30711.946832934344,13945.209557124823,null,{"$f":"SUM(P804:V804)","v":260936.42046260883},null,{"$f":"Y757","v":186684.36116023117},80614.621790491612,194110.86442458531,143277.19339847736,69153.314431635081,67948.392389532499,null,{"$f":"SUM(Y804:AE804)","v":741788.74759495305},null,{"$f":"AH757","v":80090.6230193519},31475.003149700016,59620.786192762826,38798.249491615221,21037.775449457054,20660.135285571472,null,{"$f":"SUM(AH804:AN804)","v":251682.57258845851},null,{"$f":"AQ757","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ804:AW804)","v":565786.23283284309},null,{"$f":"AZ757","v":31077.806063220058},13063.390166432489,29333.855779849589,20086.729298521375,11057.524940214107,10665.13530432311,null,{"$f":"SUM(AZ804:BF804)","v":115284.44155256072},null,{"$f":"BI757","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI804:BO804)","v":996450.18213388755}]
[null,"Total Cordon VMT with sixth rebound effect",null,null,null,null,930199.53246527119,271012.65856107906,723812.52370219748,470420.45610262023,280014.34519298142,255643.78678565938,null,{"$f":"W805+AF805+AO805+AX805+BG805+BP805","v":2931103.3028098089},{"$f":"ROW()","v":805},{"$f":"P790+P797+P801","v":79485.342193579549},17003.218953280353,82058.766435815938,37587.023394885087,30685.472917072566,13936.347188896874,null,{"$f":"SUM(P805:V805)","v":260756.17108353038},null,{"$f":"Y790+Y797+Y801","v":186587.10552195722},80584.182870279867,193949.38624754513,143166.30734889989,69093.332647428542,67905.165941856249,null,{"$f":"SUM(Y805:AE805)","v":741285.4805779669},null,{"$f":"AH790+AH797+AH801","v":80071.428412820853},31470.152053011843,59582.642064882937,38774.152494645881,21024.498222452145,20650.669429143403,null,{"$f":"SUM(AH805:AN805)","v":251573.54267695706},null,{"$f":"AQ804","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ805:AW805)","v":565786.23283284309},null,{"$f":"AZ790+AZ797+AZ801","v":31070.863074540164},13060.810514586652,29323.958272919917,20080.104167184749,11053.695674606664,10662.261800785453,null,{"$f":"SUM(AZ805:BF805)","v":115251.69350462359},null,{"$f":"BI804","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI805:BO805)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with sixth rebound effect",null,null,null,null,{"$f":"G805/G$135","v":93019.953246527119},135506.32928053953,144762.5047404395,156806.81870087341,140007.17259649071,127821.89339282969,null,null,{"$f":"ROW()","v":806}]
[null,"Factor Change",null,null,null,null,{"$f":"G805/G804","v":0.99982207732189432},0.99983852452116173,0.99961512754844206,0.9996401978377949,0.99963029070991138,0.99974804025799635,null,null,{"$f":"ROW()","v":807},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":808}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":809}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G806/$I$198)^KSE)","v":17.903269110709154},10.83488426393351,9.3927824374090889,7.7251987938198772,10.117913214629603,12.115396585272315,null,null,{"$f":"ROW()","v":810},{"$f":"G810","v":17.903269110709154},10.83488426393351,9.3927824374090889,7.7251987938198772,10.117913214629603,12.115396585272315,null,null,null,{"$f":"G810","v":17.903269110709154},10.83488426393351,9.3927824374090889,7.7251987938198772,10.117913214629603,12.115396585272315,null,null,null,{"$f":"P810","v":17.903269110709154},10.83488426393351,9.3927824374090889,7.7251987938198772,10.117913214629603,12.115396585272315,null,null,null,{"$f":"G810*$AU$198","v":17.008105655173694},10.293140050736834,8.9231433155386348,7.3389388541288829,9.6120175538981218,11.509626756008698,null,null,null,{"$f":"G810","v":17.903269110709154},10.83488426393351,9.3927824374090889,7.7251987938198772,10.117913214629603,12.115396585272315,null,null,null,{"$f":"Y810*$AU$198","v":17.008105655173694},{"$f":"Z810*$AU$198","v":10.293140050736834},{"$f":"AA810*$AU$198","v":8.9231433155386348},{"$f":"AB810*$AU$198","v":7.3389388541288829},{"$f":"AC810*$AU$198","v":9.6120175538981218},{"$f":"AD810*$AU$198","v":11.509626756008698}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G763 / 'Speed-Vol., non-Cordon'!$Y$4)^G782,'Speed-Vol., non-Cordon'!$Y$6)","v":54.931201744791942},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H763 / 'Speed-Vol., non-Cordon'!$Y$4)^H782,'Speed-Vol., non-Cordon'!$Y$6)","v":28.974313078731051},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I763 / 'Speed-Vol., non-Cordon'!$Y$4)^I782,'Speed-Vol., non-Cordon'!$Y$6)","v":23.526775729822532},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J763 / 'Speed-Vol., non-Cordon'!$Y$4)^J782,'Speed-Vol., non-Cordon'!$Y$6)","v":21.17172209454295},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K763 / 'Speed-Vol., non-Cordon'!$Y$4)^K782,'Speed-Vol., non-Cordon'!$Y$6)","v":27.431683137528523},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L763 / 'Speed-Vol., non-Cordon'!$Y$4)^L782,'Speed-Vol., non-Cordon'!$Y$6)","v":34.232297497727004},null,null,{"$f":"ROW()","v":811},54.931201744791942,28.974313078731051,23.526775729822532,21.17172209454295,27.431683137528523,34.232297497727004,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931201744791942,28.974313078731051,23.526775729822532,21.17172209454295,27.431683137528523,34.232297497727004,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931201744791942,28.974313078731051,23.526775729822532,21.17172209454295,27.431683137528523,34.232297497727004,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"G811*$AV$198","v":54.381889727344024},28.684569947943739,23.291507972524307,20.960004873597519,27.157366306153239,33.889974522749732,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931201744791942,28.974313078731051,23.526775729822532,21.17172209454295,27.431683137528523,34.232297497727004,null,"Avgs are wghtd by periods' cordon VMT.",null,{"$f":"Y811*$AV$198","v":54.381889727344024},{"$f":"Z811*$AV$198","v":28.684569947943739},{"$f":"AA811*$AV$198","v":23.291507972524307},{"$f":"AB811*$AV$198","v":20.960004873597519},{"$f":"AC811*$AV$198","v":27.157366306153239},{"$f":"AD811*$AV$198","v":33.889974522749732},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":812}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":813}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":814},{"$f":"($I$99)*60/P810","v":5.0270148677017277},8.3065031252420862,9.5818252578227128,11.650185633022101,8.8951148414544612,7.4285640892189662,null,{"$f":"SUMPRODUCT(P$562:V$562,P814:V814)/W$562","v":8.2374516016709194},null,{"$f":"($J$99)*60/Y810","v":5.0270148677017277},8.3065031252420862,9.5818252578227128,11.650185633022101,8.8951148414544612,7.4285640892189662,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y814:AE814)/AF$562","v":8.4573109746752095},null,{"$f":"($K$99)*60/AH810","v":4.6918805431882795},7.752736250225948,8.9430369073012006,10.873506590820631,8.3021071853574995,6.9333264832710357,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH814:AN814)/AO$562","v":7.550522271167476},null,{"$f":"($L$99)*60/AQ810","v":5.2915945975807661},8.7436875002548273,10.086131850339697,12.263353297918002,9.3632787804783817,7.8195411465462801,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ814:AW814)/AX$562","v":8.340164144408023},null,{"$f":"($M$99)*60/AZ810","v":10.054029735403455},16.613006250484172,19.163650515645426,23.300371266044202,17.790229682908922,14.857128178437932,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ814:BF814)/BG$562","v":16.625736414701869},null,{"$f":"($L$99)*60/BI810","v":5.2915945975807661},8.7436875002548273,10.086131850339697,12.263353297918002,9.3632787804783817,7.8195411465462801,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI814:BO814)/BP$562","v":8.3158221729225428}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":815},{"$f":"60*$I$99/(1/($P$152/$P810+$Q$152/$Q810+$R$152/$R810+$S$152/$S810+$T$152/$T810+$U$152/$U810))","v":8.2176469673349342},8.2176469673349342,8.2176469673349342,8.2176469673349342,8.2176469673349342,8.2176469673349342,null,{"$f":"SUMPRODUCT(P$463:V$463,P815:V815)/W$463","v":8.2176469673349342},null,{"$f":"60*$J$99/(1/($Y$152/$Y810+$Z$152/$Z810+$AA$152/$AA810+$AB$152/$AB810+$AC$152/$AC810+$AD$152/$AD810))","v":8.2176469673349342},8.2176469673349342,8.2176469673349342,8.2176469673349342,8.2176469673349342,8.2176469673349342,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y815:AE815)/AF$463","v":8.2176469673349359},null,{"$f":"AH814","v":4.6918805431882795},7.752736250225948,8.9430369073012006,10.873506590820631,8.3021071853574995,6.9333264832710357,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH815:AN815)/AO$463","v":7.389650749575865},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ810+$BA$152/$BA810+$BB$152/$BB810+$BC$152/$BC810+$BD$152/$BD810+$BE$152/$BE810))","v":16.435293934669868},16.435293934669868,16.435293934669868,16.435293934669868,16.435293934669868,16.435293934669868,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ815:BF815)/BG$463","v":16.435293934669872}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":816},{"$f":"($I$93)*60/P811","v":18.412387321947769},34.907283559643851,42.989935136037083,47.771955350096732,36.870306408631343,29.545623183846171,null,{"$f":"SUMPRODUCT(P$562:V$562,P816:V816)/W$562","v":34.349164589652027},null,{"$f":"($J$93)*60/Y811","v":18.412387321947769},34.907283559643851,42.989935136037083,47.771955350096732,36.870306408631343,29.545623183846171,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y816:AE816)/AF$562","v":35.158082072666978},null,{"$f":"($K$93)*60/AH811","v":27.618580982921653},52.36092533946578,64.484902704055628,71.657933025145098,55.305459612947018,44.318434775769262,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH816:AN816)/AO$562","v":50.160433273709366},null,{"$f":"($L$93)*60/AQ811","v":6.6198508695623097},12.550301456613147,15.456277044177298,17.175568525438543,13.256071886412352,10.62261052330796,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ816:AW816)/AX$562","v":11.722461902938036},null,{"$f":"($M$93)*60/AZ811","v":17.211746231995754},32.6310377775254,40.186633115707991,44.656825761642494,34.466055178235166,27.619002338732862,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ816:BF816)/BG$562","v":32.242185029001838},null,{"$f":"($L$93)*60/BI811","v":6.6198508695623097},12.550301456613147,15.456277044177298,17.175568525438543,13.256071886412352,10.62261052330796,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI816:BO816)/BP$562","v":11.676539973887063}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":817},{"$f":"60*$I$93/(1/($P$152/$P811+$Q$152/$Q811+$R$152/$R811+$S$152/$S811+$T$152/$T811+$U$152/$U811))","v":34.058885857384666},34.058885857384666,34.058885857384666,34.058885857384666,34.058885857384666,34.058885857384666,null,{"$f":"SUMPRODUCT(P$562:V$562,P817:V817)/W$562","v":34.058885857384666},null,{"$f":"60*$J$93/(1/($Y$152/$Y811+$Z$152/$Z811+$AA$152/$AA811+$AB$152/$AB811+$AC$152/$AC811+$AD$152/$AD811))","v":34.058885857384674},34.058885857384674,34.058885857384674,34.058885857384674,34.058885857384674,34.058885857384674,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y817:AE817)/AF$562","v":34.058885857384674},null,{"$f":"AH816","v":27.618580982921653},52.36092533946578,64.484902704055628,71.657933025145098,55.305459612947018,44.318434775769262,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH817:AN817)/AO$562","v":50.160433273709366},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ811+$BA$152/$BA811+$BB$152/$BB811+$BC$152/$BC811+$BD$152/$BD811+$BE$152/$BE811))","v":31.837962675434376},31.837962675434376,31.837962675434376,31.837962675434376,31.837962675434376,31.837962675434376,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ817:BF817)/BG$562","v":31.837962675434369}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":818},{"$f":"SUM(P814:P817)","v":65.715935014369094},85.490319509605541,94.8482932185794,101.69867380783843,88.041954074805403,79.250720097784736,null,{"$f":"SUM(W814:W817)","v":84.863149016042541},null,{"$f":"SUM(Y814:Y817)","v":65.715935014369109},85.490319509605541,94.848293218579414,101.69867380783845,88.041954074805403,79.25072009778475,null,{"$f":"SUM(AF814:AF817)","v":85.89192587206179},null,{"$f":"SUM(AH814:AH817)","v":64.620923052219865},120.22732317938346,146.85587922271367,165.06287923193145,127.21513359660904,102.50352251808059,null,{"$f":"SUM(AO814:AO817)","v":115.26103956816206},null,{"$f":"AQ814+AQ816","v":11.911445467143075},21.293988956867974,25.542408894516996,29.438921823356544,22.619350666890732,18.44215166985424,null,{"$f":"AX814+AX816","v":20.062626047346058},null,{"$f":"SUM(AZ814:AZ817)","v":75.539032577503463},97.517300638113824,107.62354024145765,116.23045363779093,100.52954147124834,90.749387127275043,null,{"$f":"SUM(BG814:BG817)","v":97.141178053807948},null,{"$f":"BI814+BI816","v":11.911445467143075},21.293988956867974,25.542408894516996,29.438921823356544,22.619350666890732,18.44215166985424,null,{"$f":"BP814+BP816","v":19.992362146809604}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":819}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":820},{"$f":"P818/P770","v":0.99999092609090978},0.99990084385270139,1.0000421991388144,0.99997690456857447,1.0000546066685179,1.0000169424960468,null,{"$f":"W818/W770","v":1.0000101315324144},null,{"$f":"Y818/Y770","v":0.99999092609091},0.99990084385270139,1.0000421991388144,0.99997690456857458,1.0000546066685179,1.000016942496047,null,{"$f":"AF818/AF770","v":1.0000016239479226},null,{"$f":"AH818/AH770","v":0.99997765702413022},0.99981075803917796,1.0001442864054979,1.0000295911158463,1.0001735259369282,1.0000725145323242,null,{"$f":"AO818/AO770","v":1.0000485564907167},null,{"$f":"AQ818/AQ770","v":0.99993909369367795},0.99976594326528745,0.99982484147188522,0.99971335536570305,0.99985635931402184,0.99989702013367432,null,{"$f":"AX818/AX770","v":0.9998285653777087},null,{"$f":"AZ818/AZ770","v":0.99990603690485969},0.99982921181862983,0.99989684651253774,0.9998311738817065,0.99991135592801961,0.99991007417050415,null,{"$f":"BG818/BG770","v":0.99987999861570076},null,{"$f":"BI818/BI770","v":0.99993909369367795},0.99976594326528745,0.99982484147188522,0.99971335536570305,0.99985635931402184,0.99989702013367432,null,{"$f":"BP818/BP770","v":0.99982916841617764}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":821}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":822}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":17.889823581632204},10.780356964792663,9.4256812472310365,7.7332803240403516,10.16609148768676,12.127768150513251,null,null,{"$f":"ROW()","v":823},{"$f":"G823","v":17.889823581632204},10.780356964792663,9.4256812472310365,7.7332803240403516,10.16609148768676,12.127768150513251,null,null,null,{"$f":"G823","v":17.889823581632204},10.780356964792663,9.4256812472310365,7.7332803240403516,10.16609148768676,12.127768150513251,null,null,null,{"$f":"P823","v":17.889823581632204},10.780356964792663,9.4256812472310365,7.7332803240403516,10.16609148768676,12.127768150513251,null,null,null,{"$f":"G823*$AU$198","v":16.995332402550591},10.241339116553029,8.9543971848694834,7.3466163078383335,9.6577869133024219,11.521379742987587,null,null,null,{"$f":"G823","v":17.889823581632204},10.780356964792663,9.4256812472310365,7.7332803240403516,10.16609148768676,12.127768150513251,null,null,null,{"$f":"Y823*$AU$198","v":16.995332402550591},{"$f":"Z823*$AU$198","v":10.241339116553029},{"$f":"AA823*$AU$198","v":8.9543971848694834},{"$f":"AB823*$AU$198","v":7.3466163078383335},{"$f":"AC823*$AU$198","v":9.6577869133024219},{"$f":"AD823*$AU$198","v":11.521379742987587}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":54.932057804196802},28.984662356525739,23.514950137724366,21.165754765261603,27.414069653762223,34.219137879540575,null,null,{"$f":"ROW()","v":824},54.932057804196802,28.984662356525739,23.514950137724366,21.165754765261603,27.414069653762223,34.219137879540575,null,null,null,54.932057804196802,28.984662356525739,23.514950137724366,21.165754765261603,27.414069653762223,34.219137879540575,null,null,null,54.932057804196802,28.984662356525739,23.514950137724366,21.165754765261603,27.414069653762223,34.219137879540575,null,null,null,{"$f":"G824*$AV$198","v":54.382737226154831},28.694815732960482,23.279800636347122,20.954097217608986,27.139928957224601,33.87694650074517,null,null,null,54.932057804196802,28.984662356525739,23.514950137724366,21.165754765261603,27.414069653762223,34.219137879540575,null,null,null,{"$f":"Y824*$AV$198","v":54.382737226154831},{"$f":"Z824*$AV$198","v":28.694815732960482},{"$f":"AA824*$AV$198","v":23.279800636347122},{"$f":"AB824*$AV$198","v":20.954097217608986},{"$f":"AC824*$AV$198","v":27.139928957224601},{"$f":"AD824*$AV$198","v":33.87694650074517}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":825}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":826},{"$f":"P820^Elasticities!$G$67","v":1.0000090739914267},{"$f":"Q820^Elasticities!$G$67","v":1.0000991659802152},{"$f":"R820^Elasticities!$G$67","v":0.99995780264187772},{"$f":"S820^Elasticities!$G$67","v":1.0000230959648369},{"$f":"T820^Elasticities!$G$67","v":0.99994539631320756},{"$f":"U820^Elasticities!$G$67","v":0.9999830577909965},null,null,null,{"$f":"Y820^Elasticities!$H$67","v":1.0000090739914265},{"$f":"Z820^Elasticities!$H$67","v":1.0000991659802152},{"$f":"AA820^Elasticities!$H$67","v":0.99995780264187772},{"$f":"AB820^Elasticities!$H$67","v":1.0000230959648366},{"$f":"AC820^Elasticities!$H$67","v":0.99994539631320756},{"$f":"AD820^Elasticities!$H$67","v":0.99998305779099628},null,null,null,{"$f":"AH820^Elasticities!$J$67","v":1.0000223434750894},{"$f":"AI820^Elasticities!$J$67","v":1.0001892777801202},{"$f":"AJ820^Elasticities!$J$67","v":0.99985573441006548},{"$f":"AK820^Elasticities!$J$67","v":0.99997040975976192},{"$f":"AL820^Elasticities!$J$67","v":0.99982650416909835},{"$f":"AM820^Elasticities!$J$67","v":0.99992749072565201},null,null,null,{"$f":"AQ820^Elasticities!$G$69","v":1.0000365455644848},{"$f":"AR820^Elasticities!$G$69","v":1.0001404603417892},{"$f":"AS820^Elasticities!$G$69","v":1.0001051098457496},{"$f":"AT820^Elasticities!$G$69","v":1.0001720262296487},{"$f":"AU820^Elasticities!$G$69","v":1.0000861943164903},{"$f":"AV820^Elasticities!$G$69","v":1.0000617930105791},null,null,null,{"$f":"AZ820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000313229938709},{"$f":"BA820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.000056935876563},{"$f":"BB820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000343868605976},{"$f":"BC820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000562817074314},{"$f":"BD820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000295497702854},{"$f":"BE820^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000299770736587},null,null,null,{"$f":"BI820^Elasticities!$G$69","v":1.0000365455644848},{"$f":"BJ820^Elasticities!$G$69","v":1.0001404603417892},{"$f":"BK820^Elasticities!$G$69","v":1.0001051098457496},{"$f":"BL820^Elasticities!$G$69","v":1.0001720262296487},{"$f":"BM820^Elasticities!$G$69","v":1.0000861943164903},{"$f":"BN820^Elasticities!$G$69","v":1.0000617930105791}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":827},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":828},{"$f":"(P775/P823)^Elasticities!$G$67","v":1.0001252780521215},{"$f":"(Q775/Q823)^Elasticities!$G$67","v":1.0008437151761125},{"$f":"(R775/R823)^Elasticities!$G$67","v":0.99941861526868603},{"$f":"(S775/S823)^Elasticities!$G$67","v":0.9998258582268259},{"$f":"(T775/T823)^Elasticities!$G$67","v":0.99921077093358168},{"$f":"(U775/U823)^Elasticities!$G$67","v":0.99983001183636633},null,null,null,{"$f":"(Y775/Y823)^Elasticities!$H$67","v":1.0001252780521215},{"$f":"(Z775/Z823)^Elasticities!$H$67","v":1.0008437151761125},{"$f":"(AA775/AA823)^Elasticities!$H$67","v":0.99941861526868603},{"$f":"(AB775/AB823)^Elasticities!$H$67","v":0.9998258582268259},{"$f":"(AC775/AC823)^Elasticities!$H$67","v":0.99921077093358168},{"$f":"(AD775/AD823)^Elasticities!$H$67","v":0.99983001183636633},null,null,null,{"$f":"(AH775/AH823)^Elasticities!$J$67","v":1.0001252780521215},{"$f":"(AI775/AI823)^Elasticities!$J$67","v":1.0008437151761125},{"$f":"(AJ775/AJ823)^Elasticities!$J$67","v":0.99941861526868603},{"$f":"(AK775/AK823)^Elasticities!$J$67","v":0.9998258582268259},{"$f":"(AL775/AL823)^Elasticities!$J$67","v":0.99921077093358168},{"$f":"(AM775/AM823)^Elasticities!$J$67","v":0.99983001183636633},null,null,null,{"$f":"(AQ775/AQ823)^Elasticities!$G$69","v":1.0000751649480322},{"$f":"(AR775/AR823)^Elasticities!$G$69","v":1.0005061437166485},{"$f":"(AS775/AS823)^Elasticities!$G$69","v":0.99965112858921812},{"$f":"(AT775/AT823)^Elasticities!$G$69","v":0.9998955112967568},{"$f":"(AU775/AU823)^Elasticities!$G$69","v":0.99952638778670433},{"$f":"(AV775/AV823)^Elasticities!$G$69","v":0.99989800363402748},null,null,null,{"$f":"(AZ775/AZ823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000417576069851},{"$f":"(BA775/BA823)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0002811593340577},{"$f":"(BB775/BB823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99980616752095952},{"$f":"(BC775/BC823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994194937246517},{"$f":"(BD775/BD823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99973685440499693},{"$f":"(BE775/BE823)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994333406782154},null,null,null,{"$f":"(BI775/BI823)^Elasticities!$G$69","v":1.0000751649480322},{"$f":"(BJ775/BJ823)^Elasticities!$G$69","v":1.0005061437166485},{"$f":"(BK775/BK823)^Elasticities!$G$69","v":0.99965112858921812},{"$f":"(BL775/BL823)^Elasticities!$G$69","v":0.9998955112967568},{"$f":"(BM775/BM823)^Elasticities!$G$69","v":0.99952638778670433},{"$f":"(BN775/BN823)^Elasticities!$G$69","v":0.99989800363402748}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":829},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P830+$J$85*$J$93*Y830+$K$85*$K$93*AH830+$L$85*$L$93*AQ830+$M$85*$M$93*AZ830+$N$85*$N$93*BI830)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1.0000022866322706},1.0001184008925474,0.99979554234195844,0.9998737307606137,0.99977473418081408,0.9998932306663888,null,null,{"$f":"ROW()","v":830},{"$f":"(P776/P824)^Elasticities!$G$67","v":0.99999740267882509},{"$f":"(Q776/Q824)^Elasticities!$G$67","v":0.99994049345927816},{"$f":"(R776/R824)^Elasticities!$G$67","v":1.0000838231514229},{"$f":"(S776/S824)^Elasticities!$G$67","v":1.0000469910771648},{"$f":"(T776/T824)^Elasticities!$G$67","v":1.0001070944609547},{"$f":"(U776/U824)^Elasticities!$G$67","v":1.0000640989346872},null,null,null,{"$f":"(Y763/Y811)^Elasticities!$H$67","v":1.0000036152488627},{"$f":"(Z763/Z811)^Elasticities!$H$67","v":1.000168748315265},{"$f":"(AA763/AA811)^Elasticities!$H$67","v":0.9997132602586063},{"$f":"(AB763/AB811)^Elasticities!$H$67","v":0.99982408996105676},{"$f":"(AC763/AC811)^Elasticities!$H$67","v":0.99968045150297125},{"$f":"(AD763/AD811)^Elasticities!$H$67","v":0.99984526143931785},null,null,null,{"$f":"(AH763/AH811)^Elasticities!$J$67","v":1.0000036152488627},{"$f":"(AI763/AI811)^Elasticities!$J$67","v":1.000168748315265},{"$f":"(AJ763/AJ811)^Elasticities!$J$67","v":0.9997132602586063},{"$f":"(AK763/AK811)^Elasticities!$J$67","v":0.99982408996105676},{"$f":"(AL763/AL811)^Elasticities!$J$67","v":0.99968045150297125},{"$f":"(AM763/AM811)^Elasticities!$J$67","v":0.99984526143931785},null,null,null,{"$f":"(AQ776/AQ824)^Elasticities!$G$69","v":0.99999844160648566},{"$f":"(AR776/AR824)^Elasticities!$G$69","v":0.99996429565063172},{"$f":"(AS776/AS824)^Elasticities!$G$69","v":1.0000502930477282},{"$f":"(AT776/AT824)^Elasticities!$G$69","v":1.0000281943813252},{"$f":"(AU776/AU824)^Elasticities!$G$69","v":1.0000642553003347},{"$f":"(AV776/AV824)^Elasticities!$G$69","v":1.0000384588677864},null,null,null,{"$f":"(AZ763/AZ811)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000012050815019},{"$f":"(BA763/BA811)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000562462747189},{"$f":"(BB763/BB811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99990441094922666},{"$f":"(BC763/BC811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994135988175603},{"$f":"(BD763/BD811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99989347248661553},{"$f":"(BE763/BE811)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994841781909694},null,null,null,{"$f":"(BI776/BI824)^Elasticities!$G$69","v":0.99999844160648566},{"$f":"(BJ776/BJ824)^Elasticities!$G$69","v":0.99996429565063172},{"$f":"(BK776/BK824)^Elasticities!$G$69","v":1.0000502930477282},{"$f":"(BL776/BL824)^Elasticities!$G$69","v":1.0000281943813252},{"$f":"(BM776/BM824)^Elasticities!$G$69","v":1.0000642553003347},{"$f":"(BN776/BN824)^Elasticities!$G$69","v":1.0000384588677864}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":831},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 8 • (Rebound Effect 7)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":832},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":833},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":834}]
[null,"Period entries with sixth rebound effect but before seventh",null,null,null,null,{"$f":"P835+Y835+AH835+AQ835+AZ835+BI835","v":127215.88165376359},54521.412164488378,126302.37469418117,86529.360773959983,48420.622690121214,38742.415650393537,null,{"$f":"SUM(G835:M835)","v":481732.06762690784},{"$f":"ROW()","v":835},{"$f":"P789","v":24859.799710425963},2530.6994789077139,27549.913685646607,7926.7986639071623,10846.214123120091,561.06463602161398,null,{"$f":"SUM(P835:V835)","v":74274.490298029152},null,{"$f":"Y789","v":44034.75666369759},28558.507863838833,51448.720235683657,46359.202460987362,18496.706656369523,20280.411026641366,null,{"$f":"SUM(Y835:AE835)","v":209178.30490721835},null,{"$f":"AH789","v":30678.727342866769},14264.186567486173,18805.165523802334,12532.264993228944,6698.7874506179724,6868.5619351967516,null,{"$f":"SUM(AH835:AN835)","v":89847.693813198945},null,{"$f":"AQ789","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ835:AW835)","v":33794.15699001529},null,{"$f":"AZ789","v":3934.3643020055356},2316.4018250837621,3677.4771260774205,2825.2308281927553,1521.4823200539863,1581.9169708322938,null,{"$f":"SUM(AZ835:BF835)","v":15856.873372245753},null,{"$f":"BI789","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI835:BO835)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O789,\".\")","v":"Above row repeats figures in Row 789."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":836},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O837, \" figures are set equal to Row \",$O835, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 837 figures are set equal to Row 835 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O837, \" figures are set equal to Row \",$O835, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 837 figures are set equal to Row 835 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P837+Y837+AH837+AQ837+AZ837+BI837","v":127217.31550782654},54527.326936145735,126296.45467912962,86530.402737616081,48417.90320622368,38741.611936556743,null,{"$f":"SUM(G837:M837)","v":481731.01500349847},{"$f":"ROW()","v":837},{"$f":"P835*P826","v":24860.025288035406},2530.9504382021701,27548.751152072575,7926.9817409703728,10845.621879841228,561.05513034728608,null,{"$f":"SUM(P837:V837)","v":74273.385629469034},null,{"$f":"Y835*Y826","v":44035.156234702023},28561.339896264635,51446.549235610939,46360.273171497254,18495.696667992568,20280.067431679072,null,{"$f":"SUM(Y837:AE837)","v":209179.0826377465},null,{"$f":"AH835*AH826","v":30679.41281224693},14266.886461054888,18802.452585504227,12531.894160497068,6697.625238923194,6868.0639007550162,null,{"$f":"SUM(AH837:AN837)","v":89846.335158981339},null,{"$f":"AQ835","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ837:AW837)","v":33794.15699001529},null,{"$f":"AZ835*AZ826","v":3934.4875380744529},2316.5337114521453,3677.6035829707062,2825.389837007654,1521.5272795070371,1581.9643920738504,null,{"$f":"SUM(AZ837:BF837)","v":15857.506341085847},null,{"$f":"BI835","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI837:BO837)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193659.76328762679,83839.102325291329,193080.84213460004,132780.49944588589,74239.383204703743,59798.558102870389,null,{"$f":"SUM(G838:M838)","v":737398.14850097802},{"$f":"ROW()","v":838},{"$f":"P837*$I$99","v":37290.037932053106},3796.4256573032553,41323.126728108866,11890.47261145556,16268.432819761842,841.58269552092906,null,{"$f":"SUM(P838:V838)","v":111410.07844420357},null,{"$f":"Y837*$J$99","v":66052.734352053027},42842.009844396955,77169.823853416412,69540.409757245885,27743.545001988852,30420.10114751861,null,{"$f":"SUM(Y838:AE838)","v":313768.62395661976},null,{"$f":"AH837*$K$99","v":42951.177937145709},19973.641045476845,26323.43361970592,17544.651824695895,9376.6753344924728,9615.2894610570238,null,{"$f":"SUM(AH838:AN838)","v":125784.86922257385},null,{"$f":"AQ837*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ838:AW838)","v":50691.235485022939},null,{"$f":"AZ837*$M$99","v":11803.462614223359},6949.601134356436,11032.810748912118,8476.169511022963,4564.5818385211114,4745.8931762215507,null,{"$f":"SUM(AZ838:BF838)","v":47572.519023257533},null,{"$f":"BI837*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI838:BO838)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W839*W837+AF839*AF837+AO839*AO837+BG839*BG837+BP839*BP837)/(W837+AF837+AO837+BG837+BP837)","v":4.3635256693130255},{"$f":"ROW()","v":839},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P837:V837,P$339:V$339)/W837","v":5.5364131589504},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y837:AE837,Y$339:AE$339)/AF837","v":4.9302767574346209},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH837:AN837,AH$339:AN$339)/AO837","v":3.7320394251770668},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ837:BF837,AZ$339:BF$339)/BG837","v":11.146455850068847}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":840}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P841+Y841+AH841+AQ841+AZ841+BI841","v":138553.3168682133},42431.056219298262,127706.22373785419,82563.791327314219,46888.270581180972,43589.408893046959,null,{"$f":"SUM(G841:M841)","v":481732.06762690796},{"$f":"ROW()","v":841},{"$f":"P$152*$W835","v":21919.307829605445},6790.6842087391515,19636.632896648789,12535.275084867848,6876.8380579823697,6515.7522201855372,null,{"$f":"W$152*$W835","v":74274.490298029137},null,{"$f":"Y$152*$AF835","v":61731.068609676477},19124.517802069156,55302.400150099813,35302.93622045793,19367.151794892485,18350.230330022488,null,{"$f":"SUM(Y841:AE841)","v":209178.30490721835},null,{"$f":"AH$152*$AO835","v":26515.150094862409},8214.4934703794279,23753.864522542615,15163.558217232398,8318.7112797049886,7881.9162284771082,null,{"$f":"SUM(AH841:AN841)","v":89847.693813198945},null,{"$f":"AQ835","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ841:AW841)","v":33794.15699001529},null,{"$f":"AZ$152*$BG835","v":4679.5566993012562},1449.7443089386347,4192.228045591818,2676.1579771122433,1468.1373086414885,1391.0490326603126,null,{"$f":"SUM(AZ841:BF841)","v":15856.873372245753},null,{"$f":"BI835","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI841:BO841)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":842}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":843},{"$f":"P841*$W837/$W835","v":21918.981828442436},6790.5832123497185,19636.340845220358,12535.0886504107,6876.7357802452188,6515.6553128005889,null,{"$f":"SUM(P843:V843)","v":74273.385629469019},null,{"$f":"Y841*$AF837/$AF835","v":61731.298127439397},19124.588907537465,55302.605765901586,35303.067477718301,19367.223802480465,18350.298556669284,null,{"$f":"SUM(Y843:AE843)","v":209179.08263774653},null,{"$f":"AH841*$AO837/$AO835","v":26514.74913943464},8214.3692528761694,23753.505322580455,15163.328917720619,8318.585486246242,7881.797040123216,null,{"$f":"SUM(AH843:AN843)","v":89846.335158981339},null,{"$f":"AQ841*$AX837/$AX835","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ843:AW843)","v":33794.15699001529},null,{"$f":"AZ841*$BG837/$BG835","v":4679.7434961247272},1449.8021792988325,4192.3953894092992,2676.2648030022478,1468.1959132066847,1391.1045600440564,null,{"$f":"SUM(AZ843:BF843)","v":15857.506341085847},null,{"$f":"BI841*$AX837/$AX835","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI843:BO843)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":844}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P845+Y845+AH845+AQ845+AZ845+BI845","v":203307.06205651909},62430.350154572276,186164.248924866,120011.2858921084,67631.15795190791,63138.529057423679,null,{"$f":"SUM(G845:M845)","v":702682.63403739745},{"$f":"ROW()","v":845},{"$f":"P843*$I$99","v":32878.472742663653},10185.874818524579,29454.511267830538,18802.632975616048,10315.103670367829,9773.4829692008825,null,{"$f":"SUM(P845:V845)","v":111410.07844420354},null,{"$f":"Y843*$J$99","v":92596.947191159095},28686.883361306198,82953.908648852375,52954.601216577452,29050.835703720695,27525.447835003928,null,{"$f":"SUM(Y845:AE845)","v":313768.62395661976},null,{"$f":"AH843*$K$99","v":37120.648795208501},11500.116954026638,33254.907451612642,21228.660484808868,11646.019680744739,11034.515856172504,null,{"$f":"SUM(AH845:AN845)","v":125784.86922257391},null,{"$f":"AQ843*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR843*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS843*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT843*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU843*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV843*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ845:AW845)","v":38018.426613767202},null,{"$f":"AZ843*$M$99","v":14039.230488374182},4349.406537896497,12577.186168227898,8028.7944090067431,4404.587739620054,4173.3136801321689,null,{"$f":"SUM(AZ845:BF845)","v":47572.519023257541},null,{"$f":"BI843*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ843*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK843*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL843*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM843*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN843*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI845:BO845)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":846},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":847},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O849, \" figures are set equal to Row \",$O848, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 849 figures are set equal to Row 848 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O849, \" figures are set equal to Row \",$O848, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 849 figures are set equal to Row 848 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P848+Y848+AH848+AQ848+AZ848+BI848","v":537405.11960436299},124236.54397905024,352890.87417580257,223746.7227980012,143565.06435038592,136820.79831158923,null,{"$f":"SUM(G848:M848)","v":1518665.1232191923},{"$f":"ROW()","v":848},{"$f":"P801","v":9316.6808835324282},3021.1434218100562,11278.946562372841,6893.9127717225683,4100.8946454188726,3321.121904586149,null,{"$f":"SUM(P848:V848)","v":37932.70018944292},null,{"$f":"Y801","v":27938.367611896127},9059.6443714178768,33822.705668869945,20673.099326731965,12297.544970535542,9959.2039068604699,null,{"$f":"SUM(Y848:AE848)","v":113750.56585631192},null,{"$f":"AH801","v":0},0,0,0,0,0,null,{"$f":"SUM(AH848:AN848)","v":0},null,{"$f":"AQ801","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ848:AW848)","v":510435.42163078324},null,{"$f":"AZ801","v":5229.1000706197856},1762.3721125194625,5714.8427579122053,3575.9377512697552,2084.836788520241,1743.3637903076321,null,{"$f":"SUM(AZ848:BF848)","v":20110.453271149079},null,{"$f":"BI801","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI848:BO848)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537410.00519897591,124247.23223042028,352863.5450416992,223741.71464420279,143551.57360957988,136818.44202405779,null,{"$f":"SUM(G849:M849)","v":1518632.5127489357},{"$f":"ROW()","v":849},{"$f":"P848*P828","v":9317.8480591657553},3023.6924063642496,11272.389155056171,6892.7122535283934,4097.658100166389,3320.5573531723849,null,{"$f":"SUM(P849:V849)","v":37924.857327453341},null,{"$f":"Y848*Y828","v":27941.867676169997},9067.2881308642245,33803.041664222335,20669.499276558203,12287.839390599209,9957.5109600770902,null,{"$f":"SUM(Y849:AE849)","v":113727.04709849106},null,{"$f":"AH848*AH828","v":0},0,0,0,0,0,null,{"$f":"SUM(AH849:AN849)","v":0},null,{"$f":"AQ848","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ849:AW849)","v":510435.42163078324},null,{"$f":"AZ848*AZ828","v":5229.3184253254203},1762.8676198889802,5713.7350357731129,3575.7301658392685,2084.2881729030414,1743.2650009733281,null,{"$f":"SUM(AZ849:BF849)","v":20109.204420703154},null,{"$f":"BI848","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI849:BO849)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,4.8855946128423966,10.688251370058879,-27.329134103371871,-5.0081537984233364,-13.490740806016674,-2.3562875314478333,null,{"$f":"W850+AF850+AO850+AX850+BG850+BP850","v":-32.610470256378903},{"$f":"ROW()","v":850},{"$f":"P849-P848","v":1.1671756333271333},2.5489845541933391,-6.5574073166699236,-1.200518194174947,-3.2365452524836655,-0.56455141376409301,null,{"$f":"W849-W848","v":-7.8428619895785232},null,{"$f":"Y849-Y848","v":3.500064273870521},7.6437594463477581,-19.664004647609545,-3.6000501737617014,-9.705579936333379,-1.6929467833797389,null,{"$f":"AF849-AF848","v":-23.51875782085699},null,{"$f":"AH849-AH848","v":0},0,0,0,0,0,null,{"$f":"AO849-AO848","v":0},null,{"$f":"AQ849-AQ848","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ849-AZ848","v":0.21835470563473791},0.49550736951778163,-1.1077221390924024,-0.20758543048668798,-0.54861561719962992,-9.8789334304001386E-2,null,{"$f":"BG849-BG848","v":-1.2488504459251999},null,{"$f":"BI849-BI848","v":0},0,0,0,0,0,null,{"$f":"BP849-BP848","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":851}]
[null,"Total Cordon VMT before seventh rebound effect",null,null,null,null,{"$f":"P852+Y852+AH852+AQ852+AZ852+BI852","v":930199.53246527119},271012.65856107906,723812.52370219748,470420.45610262023,280014.34519298142,255643.78678565938,null,{"$f":"W852+AF852+AO852+AX852+BG852+BP852","v":2931103.3028098089},{"$f":"ROW()","v":852},{"$f":"P805","v":79485.342193579549},17003.218953280353,82058.766435815938,37587.023394885087,30685.472917072566,13936.347188896874,null,{"$f":"SUM(P852:V852)","v":260756.17108353038},null,{"$f":"Y805","v":186587.10552195722},80584.182870279867,193949.38624754513,143166.30734889989,69093.332647428542,67905.165941856249,null,{"$f":"SUM(Y852:AE852)","v":741285.4805779669},null,{"$f":"AH805","v":80071.428412820853},31470.152053011843,59582.642064882937,38774.152494645881,21024.498222452145,20650.669429143403,null,{"$f":"SUM(AH852:AN852)","v":251573.54267695706},null,{"$f":"AQ805","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ852:AW852)","v":565786.23283284309},null,{"$f":"AZ805","v":31070.863074540164},13060.810514586652,29323.958272919917,20080.104167184749,11053.695674606664,10662.261800785453,null,{"$f":"SUM(AZ852:BF852)","v":115251.69350462359},null,{"$f":"BI805","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI852:BO852)","v":996450.18213388755}]
[null,"Total Cordon VMT with seventh rebound effect",null,null,null,null,930206.53947591514,271032.10168032517,723776.64502275188,470417.20318335993,279996.91318430775,255640.30256002775,null,{"$f":"W853+AF853+AO853+AX853+BG853+BP853","v":2931069.7051066877},{"$f":"ROW()","v":853},{"$f":"P838+P845+P849","v":79486.358733882516},17005.992882192084,82050.027150995578,37585.817840600001,30681.194590296058,13935.623017894195,null,{"$f":"SUM(P853:V853)","v":260745.01421586043},null,{"$f":"Y838+Y845+Y849","v":186591.54921938211},80596.181336567373,193926.77416649114,143164.51025038154,69082.220096308753,67903.059942599633,null,{"$f":"SUM(Y853:AE853)","v":741264.29501173052},null,{"$f":"AH838+AH845+AH849","v":80071.82673235421},31473.757999503483,59578.341071318559,38773.312309504763,21022.695015237212,20649.805317229526,null,{"$f":"SUM(AH853:AN853)","v":251569.73844514776},null,{"$f":"AQ852","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ853:AW853)","v":565786.23283284309},null,{"$f":"AZ838+AZ845+AZ849","v":31072.011527922965},13061.875292141915,29323.731952913127,20080.694085868974,11053.457751044207,10662.471857327047,null,{"$f":"SUM(AZ853:BF853)","v":115254.24246721824},null,{"$f":"BI852","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI853:BO853)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with seventh rebound effect",null,null,null,null,{"$f":"G853/G$135","v":93020.65394759152},135516.05084016258,144755.32900455038,156805.73439445332,139998.45659215387,127820.15128001387,null,null,{"$f":"ROW()","v":854}]
[null,"Factor Change",null,null,null,null,{"$f":"G853/G852","v":1.0000075328038764},1.0000717424763452,0.99995043097726177,0.99999308508119045,0.99993774601561336,0.99998637077913988,null,null,{"$f":"ROW()","v":855},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":856}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":857}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G854/$I$198)^KSE)","v":17.903168656944452},10.833306345088086,9.3938497170656454,7.7253374398434431,10.119274051243494,12.11569334637983,null,null,{"$f":"ROW()","v":858},{"$f":"G858","v":17.903168656944452},10.833306345088086,9.3938497170656454,7.7253374398434431,10.119274051243494,12.11569334637983,null,null,null,{"$f":"G858","v":17.903168656944452},10.833306345088086,9.3938497170656454,7.7253374398434431,10.119274051243494,12.11569334637983,null,null,null,{"$f":"P858","v":17.903168656944452},10.833306345088086,9.3938497170656454,7.7253374398434431,10.119274051243494,12.11569334637983,null,null,null,{"$f":"G858*$AU$198","v":17.008010224097227},10.291641027833682,8.9241572312123623,7.3390705678512704,9.6133103486813187,11.509908679060837,null,null,null,{"$f":"G858","v":17.903168656944452},10.833306345088086,9.3938497170656454,7.7253374398434431,10.119274051243494,12.11569334637983,null,null,null,{"$f":"Y858*$AU$198","v":17.008010224097227},{"$f":"Z858*$AU$198","v":10.291641027833682},{"$f":"AA858*$AU$198","v":8.9241572312123623},{"$f":"AB858*$AU$198","v":7.3390705678512704},{"$f":"AC858*$AU$198","v":9.6133103486813187},{"$f":"AD858*$AU$198","v":11.509908679060837}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G811 / 'Speed-Vol., non-Cordon'!$Y$4)^G830,'Speed-Vol., non-Cordon'!$Y$6)","v":54.9310929327442},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H811 / 'Speed-Vol., non-Cordon'!$Y$4)^H830,'Speed-Vol., non-Cordon'!$Y$6)","v":28.969147218903952},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I811 / 'Speed-Vol., non-Cordon'!$Y$4)^I830,'Speed-Vol., non-Cordon'!$Y$6)","v":23.53502301340324},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J811 / 'Speed-Vol., non-Cordon'!$Y$4)^J830,'Speed-Vol., non-Cordon'!$Y$6)","v":21.17658733186331},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K811 / 'Speed-Vol., non-Cordon'!$Y$4)^K830,'Speed-Vol., non-Cordon'!$Y$6)","v":27.441328870743725},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L811 / 'Speed-Vol., non-Cordon'!$Y$4)^L830,'Speed-Vol., non-Cordon'!$Y$6)","v":34.237192567116196},null,null,{"$f":"ROW()","v":859},54.9310929327442,28.969147218903952,23.53502301340324,21.17658733186331,27.441328870743725,34.237192567116196,null,null,null,54.9310929327442,28.969147218903952,23.53502301340324,21.17658733186331,27.441328870743725,34.237192567116196,null,null,null,54.9310929327442,28.969147218903952,23.53502301340324,21.17658733186331,27.441328870743725,34.237192567116196,null,null,null,{"$f":"G859*$AV$198","v":54.38178200341676},28.679455746714911,23.299672783269209,20.964821458544677,27.166915582036289,33.894820641445037,null,"Avgs are wghtd by periods' cordon VMT.",null,54.9310929327442,28.969147218903952,23.53502301340324,21.17658733186331,27.441328870743725,34.237192567116196,null,null,null,{"$f":"Y859*$AV$198","v":54.38178200341676},{"$f":"Z859*$AV$198","v":28.679455746714911},{"$f":"AA859*$AV$198","v":23.299672783269209},{"$f":"AB859*$AV$198","v":20.964821458544677},{"$f":"AC859*$AV$198","v":27.166915582036289},{"$f":"AD859*$AV$198","v":33.894820641445037},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":860}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":861}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":862},{"$f":"($I$99)*60/P858","v":5.0270430740253316},8.3077130040550156,9.5807366213767029,11.649976548056635,8.8939186293645704,7.4283821343903531,null,{"$f":"SUMPRODUCT(P$562:V$562,P862:V862)/W$562","v":8.2370076752087336},null,{"$f":"($J$99)*60/Y858","v":5.0270430740253316},8.3077130040550156,9.5807366213767029,11.649976548056635,8.8939186293645704,7.4283821343903531,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y862:AE862)/AF$562","v":8.4569862149589845},null,{"$f":"($K$99)*60/AH858","v":4.6919068690903103},7.7538654704513483,8.9420208466182576,10.873311444852861,8.300990720740268,6.9331566587643305,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH862:AN862)/AO$562","v":7.5502799858039999},null,{"$f":"($L$99)*60/AQ858","v":5.2916242884477178},8.7449610569000154,10.084985917238635,12.263133208480669,9.3620196098574429,7.8193496151477406,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ862:AW862)/AX$562","v":8.3398447180103101},null,{"$f":"($M$99)*60/AZ858","v":10.054086148050663},16.615426008110031,19.161473242753406,23.299953096113271,17.787837258729141,14.856764268780706,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ862:BF862)/BG$562","v":16.625128665791294},null,{"$f":"($L$99)*60/BI858","v":5.2916242884477178},8.7449610569000154,10.084985917238635,12.263133208480669,9.3620196098574429,7.8193496151477406,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI862:BO862)/BP$562","v":8.3155064330748338}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":863},{"$f":"60*$I$99/(1/($P$152/$P858+$Q$152/$Q858+$R$152/$R858+$S$152/$S858+$T$152/$T858+$U$152/$U858))","v":8.2173160912417789},8.2173160912417789,8.2173160912417789,8.2173160912417789,8.2173160912417789,8.2173160912417789,null,{"$f":"SUMPRODUCT(P$463:V$463,P863:V863)/W$463","v":8.2173160912417789},null,{"$f":"60*$J$99/(1/($Y$152/$Y858+$Z$152/$Z858+$AA$152/$AA858+$AB$152/$AB858+$AC$152/$AC858+$AD$152/$AD858))","v":8.2173160912417806},8.2173160912417806,8.2173160912417806,8.2173160912417806,8.2173160912417806,8.2173160912417806,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y863:AE863)/AF$463","v":8.2173160912417806},null,{"$f":"AH862","v":4.6919068690903103},7.7538654704513483,8.9420208466182576,10.873311444852861,8.300990720740268,6.9331566587643305,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH863:AN863)/AO$463","v":7.3895105289165999},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ858+$BA$152/$BA858+$BB$152/$BB858+$BC$152/$BC858+$BD$152/$BD858+$BE$152/$BE858))","v":16.434632182483561},16.434632182483561,16.434632182483561,16.434632182483561,16.434632182483561,16.434632182483561,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ863:BF863)/BG$463","v":16.434632182483565}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":864},{"$f":"($I$93)*60/P859","v":18.412423794725957},34.913508324648191,42.97487034574641,47.760979931990235,36.857346353349193,29.541398892518885,null,{"$f":"SUMPRODUCT(P$562:V$562,P864:V864)/W$562","v":34.341409283346437},null,{"$f":"($J$93)*60/Y859","v":18.412423794725957},34.913508324648191,42.97487034574641,47.760979931990235,36.857346353349193,29.541398892518885,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y864:AE864)/AF$562","v":35.150999766678545},null,{"$f":"($K$93)*60/AH859","v":27.61863569208894},52.370262486972294,64.462305518619615,71.64146989798536,55.2860195300238,44.312098338778334,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH864:AN864)/AO$562","v":50.15133599224071},null,{"$f":"($L$93)*60/AQ859","v":6.6198639827098997},12.552539461674973,15.450860763096429,17.171622506390296,13.251412325882315,10.621091753464199,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ864:AW864)/AX$562","v":11.720229883204018},null,{"$f":"($M$93)*60/AZ859","v":17.211780326444867},32.636856635978418,40.172550675284192,44.646566032258363,34.453940226557876,27.615053506402546,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ864:BF864)/BG$562","v":32.235917955396324},null,{"$f":"($L$93)*60/BI859","v":6.6198639827098997},12.552539461674973,15.450860763096429,17.171622506390296,13.251412325882315,10.621091753464199,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI864:BO864)/BP$562","v":11.674329249891949}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":865},{"$f":"60*$I$93/(1/($P$152/$P859+$Q$152/$Q859+$R$152/$R859+$S$152/$S859+$T$152/$T859+$U$152/$U859))","v":34.052060089813232},34.052060089813232,34.052060089813232,34.052060089813232,34.052060089813232,34.052060089813232,null,{"$f":"SUMPRODUCT(P$562:V$562,P865:V865)/W$562","v":34.052060089813232},null,{"$f":"60*$J$93/(1/($Y$152/$Y859+$Z$152/$Z859+$AA$152/$AA859+$AB$152/$AB859+$AC$152/$AC859+$AD$152/$AD859))","v":34.052060089813239},34.052060089813239,34.052060089813239,34.052060089813239,34.052060089813239,34.052060089813239,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y865:AE865)/AF$562","v":34.052060089813239},null,{"$f":"AH864","v":27.61863569208894},52.370262486972294,64.462305518619615,71.64146989798536,55.2860195300238,44.312098338778334,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH865:AN865)/AO$562","v":50.15133599224071},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ859+$BA$152/$BA859+$BB$152/$BB859+$BC$152/$BC859+$BD$152/$BD859+$BE$152/$BE859))","v":31.831582004789993},31.831582004789993,31.831582004789993,31.831582004789993,31.831582004789993,31.831582004789993,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ865:BF865)/BG$562","v":31.831582004789986}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":866},{"$f":"SUM(P862:P865)","v":65.708843049806291},85.490597509758217,94.82498314817812,101.68033266110189,88.020641163768772,79.23915720796424,null,{"$f":"SUM(W862:W865)","v":84.847793139610189},null,{"$f":"SUM(Y862:Y865)","v":65.708843049806305},85.490597509758231,94.824983148178134,101.68033266110189,88.020641163768786,79.239157207964254,null,{"$f":"SUM(AF862:AF865)","v":85.877362162692549},null,{"$f":"SUM(AH862:AH865)","v":64.621085122358508},120.24825591484729,146.80865273047573,165.02956268567644,127.17402050152813,102.49050999508532,null,{"$f":"SUM(AO862:AO865)","v":115.24246249920202},null,{"$f":"AQ862+AQ864","v":11.911488271157618},21.297500518574989,25.535846680335062,29.434755714870967,22.613431935739758,18.440441368611939,null,{"$f":"AX862+AX864","v":20.060074601214328},null,{"$f":"SUM(AZ862:AZ865)","v":75.532080661769086},97.518496831362,107.60023810531115,116.21273331564518,100.50799167256056,90.738031962456802,null,{"$f":"SUM(BG862:BG865)","v":97.127260808461187},null,{"$f":"BI862+BI864","v":11.911488271157618},21.297500518574989,25.535846680335062,29.434755714870967,22.613431935739758,18.440441368611939,null,{"$f":"BP862+BP864","v":19.989835682966785}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":867}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":868},{"$f":"P866/P818","v":0.99989208150867437},1.0000032518319533,0.99975423837783184,0.99981965205592349,0.99975792323943058,0.9998540973532325,null,{"$f":"W866/W818","v":0.99981905130070714},null,{"$f":"Y866/Y818","v":0.99989208150867437},1.0000032518319535,0.99975423837783184,0.99981965205592338,0.99975792323943069,0.9998540973532325,null,{"$f":"AF866/AF818","v":0.99983044146208888},null,{"$f":"AH866/AH818","v":1.0000025080133645},1.0001741096358987,0.99967841606009988,0.99979815845688602,0.9996768222937118,0.9998730529188109,null,{"$f":"AO866/AO818","v":0.99983882611999997},null,{"$f":"AQ866/AQ818","v":1.0000035935197504},1.0001649085905946,0.99974308554024671,0.99985848298009772,0.99973833328647943,0.99990726129613727,null,{"$f":"AX866/AX818","v":0.99987282591393034},null,{"$f":"AZ866/AZ818","v":0.99990796922468861},1.0000122664721065,0.99978348476463219,0.99984754148683808,0.99978563715329449,0.99987487337184644,null,{"$f":"BG866/BG818","v":0.99985673176272316},null,{"$f":"BI866/BI818","v":1.0000035935197504},1.0001649085905946,0.99974308554024671,0.99985848298009772,0.99973833328647943,0.99990726129613727,null,{"$f":"BP866/BP818","v":0.99987362854752893}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":869}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":870}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$858,G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":17.891491716046232},10.786975637329592,9.4217023059603626,7.7322874635157381,10.160239308131352,12.126258799996576,null,null,{"$f":"ROW()","v":871},{"$f":"G871","v":17.891491716046232},10.786975637329592,9.4217023059603626,7.7322874635157381,10.160239308131352,12.126258799996576,null,null,null,{"$f":"G871","v":17.891491716046232},10.786975637329592,9.4217023059603626,7.7322874635157381,10.160239308131352,12.126258799996576,null,null,null,{"$f":"P871","v":17.891491716046232},10.786975637329592,9.4217023059603626,7.7322874635157381,10.160239308131352,12.126258799996576,null,null,null,{"$f":"G871*$AU$198","v":16.996917130243919},10.247626855463112,8.950617190662344,7.3456730903399512,9.6522273427247836,11.519945859996746,null,null,null,{"$f":"G871","v":17.891491716046232},10.786975637329592,9.4217023059603626,7.7322874635157381,10.160239308131352,12.126258799996576,null,null,null,{"$f":"Y871*$AU$198","v":16.996917130243919},{"$f":"Z871*$AU$198","v":10.247626855463112},{"$f":"AA871*$AU$198","v":8.950617190662344},{"$f":"AB871*$AU$198","v":7.3456730903399512},{"$f":"AC871*$AU$198","v":9.6522273427247836},{"$f":"AD871*$AU$198","v":11.519945859996746}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$859,G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":54.931937195265235},28.982722964323013,23.51745924718422,21.167108836086818,27.417477055884909,34.221394715487527,null,null,{"$f":"ROW()","v":872},54.931937195265235,28.982722964323013,23.51745924718422,21.167108836086818,27.417477055884909,34.221394715487527,null,null,null,54.931937195265235,28.982722964323013,23.51745924718422,21.167108836086818,27.417477055884909,34.221394715487527,null,null,null,54.931937195265235,28.982722964323013,23.51745924718422,21.167108836086818,27.417477055884909,34.221394715487527,null,null,null,{"$f":"G872*$AV$198","v":54.382617823312579},28.692895734679784,23.282284654712377,20.955437747725949,27.143302285326058,33.879180768332652,null,null,null,54.931937195265235,28.982722964323013,23.51745924718422,21.167108836086818,27.417477055884909,34.221394715487527,null,null,null,{"$f":"Y872*$AV$198","v":54.382617823312579},{"$f":"Z872*$AV$198","v":28.692895734679784},{"$f":"AA872*$AV$198","v":23.282284654712377},{"$f":"AB872*$AV$198","v":20.955437747725949},{"$f":"AC872*$AV$198","v":27.143302285326058},{"$f":"AD872*$AV$198","v":33.879180768332652}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":873}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":874},{"$f":"P868^Elasticities!$G$67","v":1.0001079301389835},{"$f":"Q868^Elasticities!$G$67","v":0.99999674817862116},{"$f":"R868^Elasticities!$G$67","v":1.0002458220357904},{"$f":"S868^Elasticities!$G$67","v":1.0001803804753244},{"$f":"T868^Elasticities!$G$67","v":1.0002421353759168},{"$f":"U868^Elasticities!$G$67","v":1.0001459239374562},null,null,null,{"$f":"Y868^Elasticities!$H$67","v":1.0001079301389835},{"$f":"Z868^Elasticities!$H$67","v":0.99999674817862094},{"$f":"AA868^Elasticities!$H$67","v":1.0002458220357904},{"$f":"AB868^Elasticities!$H$67","v":1.0001803804753244},{"$f":"AC868^Elasticities!$H$67","v":1.0002421353759168},{"$f":"AD868^Elasticities!$H$67","v":1.0001459239374562},null,null,null,{"$f":"AH868^Elasticities!$J$67","v":0.99999749199292554},{"$f":"AI868^Elasticities!$J$67","v":0.99982592067298959},{"$f":"AJ868^Elasticities!$J$67","v":1.0003216873893983},{"$f":"AK868^Elasticities!$J$67","v":1.0002018822913472},{"$f":"AL868^Elasticities!$J$67","v":1.0003232821838828},{"$f":"AM868^Elasticities!$J$67","v":1.0001269631987966},null,null,null,{"$f":"AQ868^Elasticities!$G$69","v":0.99999784389434809},{"$f":"AR868^Elasticities!$G$69","v":0.9999010678973026},{"$f":"AS868^Elasticities!$G$69","v":1.0001541803653269},{"$f":"AT868^Elasticities!$G$69","v":1.0000849198261126},{"$f":"AU868^Elasticities!$G$69","v":1.0001570329009124},{"$f":"AV868^Elasticities!$G$69","v":1.0000556473508737},null,null,null,{"$f":"AZ868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000306788073861},{"$f":"BA868^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999591120940112},{"$f":"BB868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000721821643987},{"$f":"BC868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.000050824670244},{"$f":"BD868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.000071464495367},{"$f":"BE868^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000417123556504},null,null,null,{"$f":"BI868^Elasticities!$G$69","v":0.99999784389434809},{"$f":"BJ868^Elasticities!$G$69","v":0.9999010678973026},{"$f":"BK868^Elasticities!$G$69","v":1.0001541803653269},{"$f":"BL868^Elasticities!$G$69","v":1.0000849198261126},{"$f":"BM868^Elasticities!$G$69","v":1.0001570329009124},{"$f":"BN868^Elasticities!$G$69","v":1.0000556473508737}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":875},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":876},{"$f":"(P823/P871)^Elasticities!$G$67","v":1.0000932448778166},{"$f":"(Q823/Q871)^Elasticities!$G$67","v":1.0006139567139145},{"$f":"(R823/R871)^Elasticities!$G$67","v":0.99957786167744189},{"$f":"(S823/S871)^Elasticities!$G$67","v":0.99987161198314156},{"$f":"(T823/T871)^Elasticities!$G$67","v":0.99942434321366314},{"$f":"(U823/U871)^Elasticities!$G$67","v":0.99987554589616623},null,null,null,{"$f":"(Y823/Y871)^Elasticities!$H$67","v":1.0000932448778166},{"$f":"(Z823/Z871)^Elasticities!$H$67","v":1.0006139567139145},{"$f":"(AA823/AA871)^Elasticities!$H$67","v":0.99957786167744189},{"$f":"(AB823/AB871)^Elasticities!$H$67","v":0.99987161198314156},{"$f":"(AC823/AC871)^Elasticities!$H$67","v":0.99942434321366314},{"$f":"(AD823/AD871)^Elasticities!$H$67","v":0.99987554589616623},null,null,null,{"$f":"(AH823/AH871)^Elasticities!$J$67","v":1.0000932448778166},{"$f":"(AI823/AI871)^Elasticities!$J$67","v":1.0006139567139145},{"$f":"(AJ823/AJ871)^Elasticities!$J$67","v":0.99957786167744189},{"$f":"(AK823/AK871)^Elasticities!$J$67","v":0.99987161198314156},{"$f":"(AL823/AL871)^Elasticities!$J$67","v":0.99942434321366314},{"$f":"(AM823/AM871)^Elasticities!$J$67","v":0.99987554589616623},null,null,null,{"$f":"(AQ823/AQ871)^Elasticities!$G$69","v":1.0000559458833824},{"$f":"(AR823/AR871)^Elasticities!$G$69","v":1.0003683288081622},{"$f":"(AS823/AS871)^Elasticities!$G$69","v":0.99974669561815988},{"$f":"(AT823/AT871)^Elasticities!$G$69","v":0.9999229652117485},{"$f":"(AU823/AU871)^Elasticities!$G$69","v":0.99965456615182335},{"$f":"(AV823/AV871)^Elasticities!$G$69","v":0.99992532567893289},null,null,null,{"$f":"(AZ823/AZ871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000310806599213},{"$f":"(BA823/BA871)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0002046103697126},{"$f":"(BB823/BB871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99985926742108422},{"$f":"(BC823/BC871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995720216275175},{"$f":"(BD823/BD871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99980807757269285},{"$f":"(BE823/BE871)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995851357762267},null,null,null,{"$f":"(BI823/BI871)^Elasticities!$G$69","v":1.0000559458833824},{"$f":"(BJ823/BJ871)^Elasticities!$G$69","v":1.0003683288081622},{"$f":"(BK823/BK871)^Elasticities!$G$69","v":0.99974669561815988},{"$f":"(BL823/BL871)^Elasticities!$G$69","v":0.9999229652117485},{"$f":"(BM823/BM871)^Elasticities!$G$69","v":0.99965456615182335},{"$f":"(BN823/BN871)^Elasticities!$G$69","v":0.99992532567893289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":877},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P878+$J$85*$J$93*Y878+$K$85*$K$93*AH878+$L$85*$L$93*AQ878+$M$85*$M$93*AZ878+$N$85*$N$93*BI878)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":0.99999806306257777},0.99985037087118411,1.0002894959237862,1.0001886472098338,1.0002936498215338,1.0001223302665538,null,null,{"$f":"ROW()","v":878},{"$f":"(P824/P872)^Elasticities!$G$67","v":0.99999780439808028},{"$f":"(Q824/Q872)^Elasticities!$G$67","v":0.99993308901863787},{"$f":"(R824/R872)^Elasticities!$G$67","v":1.0001067027335868},{"$f":"(S824/S872)^Elasticities!$G$67","v":1.0000639746061613},{"$f":"(T824/T872)^Elasticities!$G$67","v":1.000124293917894},{"$f":"(U824/U872)^Elasticities!$G$67","v":1.000065952449033},null,null,null,{"$f":"(Y811/Y859)^Elasticities!$H$67","v":0.99999801912129549},{"$f":"(Z811/Z859)^Elasticities!$H$67","v":0.99982170898018996},{"$f":"(AA811/AA859)^Elasticities!$H$67","v":1.0003505488246847},{"$f":"(AB811/AB859)^Elasticities!$H$67","v":1.0002297988467179},{"$f":"(AC811/AC859)^Elasticities!$H$67","v":1.0003516274654691},{"$f":"(AD811/AD859)^Elasticities!$H$67","v":1.0001429956429164},null,null,null,{"$f":"(AH811/AH859)^Elasticities!$J$67","v":0.99999801912129549},{"$f":"(AI811/AI859)^Elasticities!$J$67","v":0.99982170898018996},{"$f":"(AJ811/AJ859)^Elasticities!$J$67","v":1.0003505488246847},{"$f":"(AK811/AK859)^Elasticities!$J$67","v":1.0002297988467179},{"$f":"(AL811/AL859)^Elasticities!$J$67","v":1.0003516274654691},{"$f":"(AM811/AM859)^Elasticities!$J$67","v":1.0001429956429164},null,null,null,{"$f":"(AQ824/AQ872)^Elasticities!$G$69","v":0.99999868263826952},{"$f":"(AR824/AR872)^Elasticities!$G$69","v":0.99995985287391642},{"$f":"(AS824/AS872)^Elasticities!$G$69","v":1.0000640202739632},{"$f":"(AT824/AT872)^Elasticities!$G$69","v":1.0000383842725815},{"$f":"(AU824/AU872)^Elasticities!$G$69","v":1.0000745744969666},{"$f":"(AV824/AV872)^Elasticities!$G$69","v":1.0000395709474688},null,null,null,{"$f":"(AZ811/AZ859)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99999933970666255},{"$f":"(BA811/BA859)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994056612774807},{"$f":"(BB811/BB859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001168359570558},{"$f":"(BC811/BC859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000765937488205},{"$f":"(BD811/BD859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001171954198533},{"$f":"(BE811/BE859)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000476629425132},null,null,null,{"$f":"(BI824/BI872)^Elasticities!$G$69","v":0.99999868263826952},{"$f":"(BJ824/BJ872)^Elasticities!$G$69","v":0.99995985287391642},{"$f":"(BK824/BK872)^Elasticities!$G$69","v":1.0000640202739632},{"$f":"(BL824/BL872)^Elasticities!$G$69","v":1.0000383842725815},{"$f":"(BM824/BM872)^Elasticities!$G$69","v":1.0000745744969666},{"$f":"(BN824/BN872)^Elasticities!$G$69","v":1.0000395709474688}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":879},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 9 • (Rebound Effect 8)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":880},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder",null,"Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":881},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":882}]
[null,"Period entries with seventh rebound effect but before eighth",null,null,null,null,{"$f":"P883+Y883+AH883+AQ883+AZ883+BI883","v":127217.31550782654},54527.326936145735,126296.45467912962,86530.402737616081,48417.90320622368,38741.611936556743,null,{"$f":"SUM(G883:M883)","v":481731.01500349847},{"$f":"ROW()","v":883},{"$f":"P837","v":24860.025288035406},2530.9504382021701,27548.751152072575,7926.9817409703728,10845.621879841228,561.05513034728608,null,{"$f":"SUM(P883:V883)","v":74273.385629469034},null,{"$f":"Y837","v":44035.156234702023},28561.339896264635,51446.549235610939,46360.273171497254,18495.696667992568,20280.067431679072,null,{"$f":"SUM(Y883:AE883)","v":209179.0826377465},null,{"$f":"AH837","v":30679.41281224693},14266.886461054888,18802.452585504227,12531.894160497068,6697.625238923194,6868.0639007550162,null,{"$f":"SUM(AH883:AN883)","v":89846.335158981339},null,{"$f":"AQ837","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ883:AW883)","v":33794.15699001529},null,{"$f":"AZ837","v":3934.4875380744529},2316.5337114521453,3677.6035829707062,2825.389837007654,1521.5272795070371,1581.9643920738504,null,{"$f":"SUM(AZ883:BF883)","v":15857.506341085847},null,{"$f":"BI837","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI883:BO883)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O837,\".\")","v":"Above row repeats figures in Row 837."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":884},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O885, \" figures are set equal to Row \",$O883, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 885 figures are set equal to Row 883 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O885, \" figures are set equal to Row \",$O883, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 885 figures are set equal to Row 883 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P885+Y885+AH885+AQ885+AZ885+BI885","v":127224.79513554453},54524.732787756366,126322.18743396172,86542.868665476053,48427.281735513439,38745.591134045717,null,{"$f":"SUM(G885:M885)","v":481787.45689229784},{"$f":"ROW()","v":885},{"$f":"P883*P874","v":24862.708434019874},2530.9422080034265,27555.523242164261,7928.4116137046967,10848.247988572155,561.13700172103631,null,{"$f":"SUM(P885:V885)","v":74286.970488185456},null,{"$f":"Y883*Y874","v":44039.90895523459},28561.247019888946,51459.19593107843,46368.635659608102,18500.175130458116,20283.026778970579,null,{"$f":"SUM(Y885:AE885)","v":209212.18947523876},null,{"$f":"AH883*AH874","v":30679.335868062557},14264.402891061214,18808.501097390745,12534.42412800511,6699.7904618372613,6868.9358921173953,null,{"$f":"SUM(AH885:AN885)","v":89855.390338474273},null,{"$f":"AQ883","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ885:AW885)","v":33794.15699001529},null,{"$f":"AZ883*AZ874","v":3934.6082434597965},2316.524239630884,3677.8690403571254,2825.5334365144308,1521.6360146862542,1582.0303795351988,null,{"$f":"SUM(AZ885:BF885)","v":15858.201354183688},null,{"$f":"BI883","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI885:BO885)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193671.17148170024,83835.445251974757,193119.23460173921,132799.16074018521,74253.397579115815,59804.53868115964,null,{"$f":"SUM(G886:M886)","v":737482.94833587483},{"$f":"ROW()","v":886},{"$f":"P885*$I$99","v":37294.06265102981},3796.4133120051397,41333.284863246394,11892.617420557046,16272.371982858233,841.70550258155447,null,{"$f":"SUM(P886:V886)","v":111430.45573227818},null,{"$f":"Y885*$J$99","v":66059.863432851882},42841.870529833417,77188.793896617644,69552.953489412146,27750.262695687175,30424.540168455867,null,{"$f":"SUM(Y886:AE886)","v":313818.28421285813},null,{"$f":"AH885*$K$99","v":42951.070215287582},19970.164047485701,26331.901536347046,17548.193779207155,9379.7066465721673,9616.5102489643541,null,{"$f":"SUM(AH886:AN886)","v":125797.546473864},null,{"$f":"AQ885*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ886:AW886)","v":50691.235485022939},null,{"$f":"AZ885*$M$99","v":11803.824730379391},6949.5727188926521,11033.607121071376,8476.6003095432934,4564.9080440587622,4746.0911386055959,null,{"$f":"SUM(AZ886:BF886)","v":47574.604062551072},null,{"$f":"BI885*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI886:BO886)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W887*W885+AF887*AF885+AO887*AO885+BG887*BG885+BP887*BP885)/(W885+AF885+AO885+BG885+BP885)","v":4.3639318738064041},{"$f":"ROW()","v":887},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P885:V885,P$339:V$339)/W885","v":5.5366946689508447},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y885:AE885,Y$339:AE$339)/AF885","v":4.9305768610721827},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH885:AN885,AH$339:AN$339)/AO885","v":3.7327174900230915},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ885:BF885,AZ$339:BF$339)/BG885","v":11.14668654425097}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":888}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P889+Y889+AH889+AQ889+AZ889+BI889","v":138553.0062262089},42430.959981234075,127705.94544608283,82563.613676495675,46888.173122138251,43589.316551338656,null,{"$f":"SUM(G889:M889)","v":481731.01500349835},{"$f":"ROW()","v":889},{"$f":"P$152*$W883","v":21918.98182844244},6790.5832123497185,19636.340845220358,12535.0886504107,6876.7357802452198,6515.6553128005889,null,{"$f":"W$152*$W883","v":74273.385629469019},null,{"$f":"Y$152*$AF883","v":61731.29812743939},19124.588907537469,55302.605765901586,35303.067477718309,19367.223802480465,18350.298556669284,null,{"$f":"SUM(Y889:AE889)","v":209179.08263774653},null,{"$f":"AH$152*$AO883","v":26514.74913943464},8214.3692528761694,23753.505322580455,15163.328917720621,8318.5854862462402,7881.797040123216,null,{"$f":"SUM(AH889:AN889)","v":89846.335158981339},null,{"$f":"AQ883","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ889:AW889)","v":33794.15699001529},null,{"$f":"AZ$152*$BG883","v":4679.7434961247272},1449.8021792988325,4192.3953894092992,2676.2648030022478,1468.1959132066845,1391.1045600440564,null,{"$f":"SUM(AZ889:BF889)","v":15857.506341085847},null,{"$f":"BI883","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI889:BO889)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":890}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":891},{"$f":"P889*$W885/$W883","v":21922.990885910651},6791.8252334688596,19639.932399770205,12537.381361411692,6877.9935589665347,6516.847048657507,null,{"$f":"SUM(P891:V891)","v":74286.970488185456},null,{"$f":"Y889*$AF885/$AF883","v":61741.068358905744},19127.615762082791,55311.358526258417,35308.654905023301,19370.28905892494,18353.202864043564,null,{"$f":"SUM(Y891:AE891)","v":209212.18947523876},null,{"$f":"AH889*$AO885/$AO883","v":26517.421433326679},8215.197139599366,23755.899324004127,15164.857156627832,8319.4238764217771,7882.5914084944898,null,{"$f":"SUM(AH891:AN891)","v":89855.390338474273},null,{"$f":"AQ889*$AX885/$AX883","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ891:AW891)","v":33794.15699001529},null,{"$f":"AZ889*$BG885/$BG883","v":4679.9486029652589},1449.8657221713509,4192.5791364401557,2676.3821000760349,1468.2602622517313,1391.1655302791553,null,{"$f":"SUM(AZ891:BF891)","v":15858.201354183686},null,{"$f":"BI889*$AX885/$AX883","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI891:BO891)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":892}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P893+Y893+AH893+AQ893+AZ893+BI893","v":203332.08752189134},62438.103138099003,186186.6682403117,120025.59752525881,67639.009298037476,63145.968148695552,null,{"$f":"SUM(G893:M893)","v":702767.43387229391},{"$f":"ROW()","v":893},{"$f":"P891*$I$99","v":32884.486328865976},10187.73785020329,29459.898599655309,18806.072042117536,10316.990338449803,9775.270572986261,null,{"$f":"SUM(P893:V893)","v":111430.45573227818},null,{"$f":"Y891*$J$99","v":92611.602538358624},28691.423643124188,82967.037789387628,52962.982357534951,29055.433588387408,27529.804296065347,null,{"$f":"SUM(Y893:AE893)","v":313818.28421285818},null,{"$f":"AH891*$K$99","v":37124.390006657355},11501.275995439113,33258.259053605783,21230.800019278966,11647.193426990489,11035.627971892287,null,{"$f":"SUM(AH893:AN893)","v":125797.54647386399},null,{"$f":"AQ891*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR891*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS891*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT891*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU891*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV891*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ893:AW893)","v":38018.426613767202},null,{"$f":"AZ891*$M$99","v":14039.845808895778},4349.5971665140523,12577.737409320467,8029.1463002281052,4404.7807867551937,4173.4965908374661,null,{"$f":"SUM(AZ893:BF893)","v":47574.604062551065},null,{"$f":"BI891*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ891*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK891*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL891*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM891*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN891*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI893:BO893)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":894},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":895},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O897, \" figures are set equal to Row \",$O896, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 897 figures are set equal to Row 896 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O897, \" figures are set equal to Row \",$O896, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 897 figures are set equal to Row 896 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P896+Y896+AH896+AQ896+AZ896+BI896","v":537410.00519897591},124247.23223042028,352863.5450416992,223741.71464420279,143551.57360957988,136818.44202405779,null,{"$f":"SUM(G896:M896)","v":1518632.5127489357},{"$f":"ROW()","v":896},{"$f":"P849","v":9317.8480591657553},3023.6924063642496,11272.389155056171,6892.7122535283934,4097.658100166389,3320.5573531723849,null,{"$f":"SUM(P896:V896)","v":37924.857327453341},null,{"$f":"Y849","v":27941.867676169997},9067.2881308642245,33803.041664222335,20669.499276558203,12287.839390599209,9957.5109600770902,null,{"$f":"SUM(Y896:AE896)","v":113727.04709849106},null,{"$f":"AH849","v":0},0,0,0,0,0,null,{"$f":"SUM(AH896:AN896)","v":0},null,{"$f":"AQ849","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ896:AW896)","v":510435.42163078324},null,{"$f":"AZ849","v":5229.3184253254203},1762.8676198889802,5713.7350357731129,3575.7301658392685,2084.2881729030414,1743.2650009733281,null,{"$f":"SUM(AZ896:BF896)","v":20109.204420703154},null,{"$f":"BI849","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI896:BO896)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537413.64200728468,124255.01627009438,352843.71286627772,223738.02295300653,143541.74116510648,136816.71719213709,null,{"$f":"SUM(G897:M897)","v":1518608.8524539068},{"$f":"ROW()","v":897},{"$f":"P896*P876","v":9318.7169007695466},3025.5488226179491,11267.630647607033,6891.8273118713869,4095.2992554729399,3320.144096182767,null,{"$f":"SUM(P897:V897)","v":37919.167034521626},null,{"$f":"Y896*Y876","v":27944.47311220743},9072.8550532891659,33788.772104916839,20666.845560536629,12280.765812464593,9956.2717069741393,null,{"$f":"SUM(Y897:AE897)","v":113709.98335038881},null,{"$f":"AH896*AH876","v":0},0,0,0,0,0,null,{"$f":"SUM(AH897:AN897)","v":0},null,{"$f":"AQ896","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,0,{"$f":"SUM(AQ897:AW897)","v":510435.42163078324},null,{"$f":"AZ896*AZ876","v":5229.4809559930181},1763.2283208844401,5712.9309271062875,3575.5771323215872,2083.8881512576904,1743.1926791451822,null,{"$f":"SUM(AZ897:BF897)","v":20108.298166708202},null,{"$f":"BI896","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,0,{"$f":"SUM(BI897:BO897)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,3.6368083088218555,7.7840396740984943,-19.832175421459397,-3.6916911962671293,-9.8324444734130338,-1.7248319207174063,null,{"$f":"W898+AF898+AO898+AX898+BG898+BP898","v":-23.660295028919791},{"$f":"ROW()","v":898},{"$f":"P897-P896","v":0.86884160379122477},1.8564162536995354,-4.758507449138051,-0.88494165700649319,-2.3588446934491003,-0.41325698961782109,null,{"$f":"W897-W896","v":-5.6902929317147937},null,{"$f":"Y897-Y896","v":2.6054360374328098},5.5669224249413674,-14.269559305495932,-2.6537160215739277,-7.0735781346156728,-1.2392531029508973,null,{"$f":"AF897-AF896","v":-17.063748102256795},null,{"$f":"AH897-AH896","v":0},0,0,0,0,0,null,{"$f":"AO897-AO896","v":0},null,{"$f":"AQ897-AQ896","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ897-AZ896","v":0.16253066759782087},0.36070099545986523,-0.80410866682541382,-0.1530335176812514,-0.40002164535098927,-7.2321828145959444E-2,null,{"$f":"BG897-BG896","v":-0.90625399495183956},null,{"$f":"BI897-BI896","v":0},0,0,0,0,0,null,{"$f":"BP897-BP896","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":899}]
[null,"Total Cordon VMT before eighth rebound effect",null,null,null,null,{"$f":"P900+Y900+AH900+AQ900+AZ900+BI900","v":930206.53947591514},271032.10168032517,723776.64502275188,470417.20318335993,279996.91318430775,255640.30256002775,null,{"$f":"W900+AF900+AO900+AX900+BG900+BP900","v":2931069.7051066877},{"$f":"ROW()","v":900},{"$f":"P853","v":79486.358733882516},17005.992882192084,82050.027150995578,37585.817840600001,30681.194590296058,13935.623017894195,null,{"$f":"SUM(P900:V900)","v":260745.01421586043},null,{"$f":"Y853","v":186591.54921938211},80596.181336567373,193926.77416649114,143164.51025038154,69082.220096308753,67903.059942599633,null,{"$f":"SUM(Y900:AE900)","v":741264.29501173052},null,{"$f":"AH853","v":80071.82673235421},31473.757999503483,59578.341071318559,38773.312309504763,21022.695015237212,20649.805317229526,null,{"$f":"SUM(AH900:AN900)","v":251569.73844514776},null,{"$f":"AQ853","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ900:AW900)","v":565786.23283284309},null,{"$f":"AZ853","v":31072.011527922965},13061.875292141915,29323.731952913127,20080.694085868974,11053.457751044207,10662.471857327047,null,{"$f":"SUM(AZ900:BF900)","v":115254.24246721824},null,{"$f":"BI853","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI900:BO900)","v":996450.18213388755}]
[null,"Total Cordon VMT with eighth rebound effect",null,null,null,null,930246.60994366976,271043.98163020943,723817.62462991534,470446.48441961338,280008.94646037597,255651.99739766819,null,{"$f":"W901+AF901+AO901+AX901+BG901+BP901","v":2931215.6444814522},{"$f":"ROW()","v":901},{"$f":"P886+P893+P897","v":79497.265880665334},17009.699984826377,82060.814110508742,37590.516774545969,30684.661576780974,13937.120171750583,null,{"$f":"SUM(P901:V901)","v":260780.07849907799},null,{"$f":"Y886+Y893+Y897","v":186615.93908341794},80606.149226246765,193944.60379092212,143182.78140748374,69086.46209653918,67910.616171495349,null,{"$f":"SUM(Y901:AE901)","v":741346.55177610507},null,{"$f":"AH886+AH893+AH897","v":80075.46022194493},31471.440042924813,59590.160589952829,38778.993798486117,21026.900073562654,20652.138220856643,null,{"$f":"SUM(AH901:AN901)","v":251595.092947728},null,{"$f":"AQ900","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ901:AW901)","v":565786.23283284309},null,{"$f":"AZ886+AZ893+AZ897","v":31073.151495268186},13062.398206291144,29324.27545749813,20081.323742092987,11053.576982071647,10662.780408588244,null,{"$f":"SUM(AZ901:BF901)","v":115257.50629181034},null,{"$f":"BI900","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI901:BO901)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with eighth rebound effect",null,null,null,null,{"$f":"G901/G$135","v":93024.660994366976},135521.99081510471,144763.52492598307,156815.49480653778,140004.47323018798,127825.9986988341,null,null,{"$f":"ROW()","v":902}]
[null,"Factor Change",null,null,null,null,{"$f":"G901/G900","v":1.0000430769577016},1.0000438322612362,1.0000566191344322,1.0000622452496535,1.0000429764597452,1.0000457472375182,null,null,{"$f":"ROW()","v":903},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":904}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":905}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*(G902*$G$481/V_sub_k)^KSE)","v":17.902594177559468},10.832342279199285,9.3926307074039261,7.7240894897436716,10.118334656855254,12.114697274308918,null,null,{"$f":"ROW()","v":906},{"$f":"G906","v":17.902594177559468},10.832342279199285,9.3926307074039261,7.7240894897436716,10.118334656855254,12.114697274308918,null,null,null,{"$f":"G906","v":17.902594177559468},10.832342279199285,9.3926307074039261,7.7240894897436716,10.118334656855254,12.114697274308918,null,null,null,{"$f":"P906","v":17.902594177559468},10.832342279199285,9.3926307074039261,7.7240894897436716,10.118334656855254,12.114697274308918,null,null,null,{"$f":"G906*$AU$198","v":17.007464468681494},10.290725165239319,8.9229991720337303,7.3378850152564876,9.6124179240124903,11.508962410593472,null,null,null,{"$f":"G906","v":17.902594177559468},10.832342279199285,9.3926307074039261,7.7240894897436716,10.118334656855254,12.114697274308918,null,null,null,{"$f":"Y906*$AU$198","v":17.007464468681494},{"$f":"Z906*$AU$198","v":10.290725165239319},{"$f":"AA906*$AU$198","v":8.9229991720337303},{"$f":"AB906*$AU$198","v":7.3378850152564876},{"$f":"AC906*$AU$198","v":9.6124179240124903},{"$f":"AD906*$AU$198","v":11.508962410593472}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G859 / 'Speed-Vol., non-Cordon'!$Y$4)^G878,'Speed-Vol., non-Cordon'!$Y$6)","v":54.931185104353943},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H859 / 'Speed-Vol., non-Cordon'!$Y$4)^H878,'Speed-Vol., non-Cordon'!$Y$6)","v":28.9756765008825},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I859 / 'Speed-Vol., non-Cordon'!$Y$4)^I878,'Speed-Vol., non-Cordon'!$Y$6)","v":23.523348747933763},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J859 / 'Speed-Vol., non-Cordon'!$Y$4)^J878,'Speed-Vol., non-Cordon'!$Y$6)","v":21.16931996018398},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K859 / 'Speed-Vol., non-Cordon'!$Y$4)^K878,'Speed-Vol., non-Cordon'!$Y$6)","v":27.428758482407424},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L859 / 'Speed-Vol., non-Cordon'!$Y$4)^L878,'Speed-Vol., non-Cordon'!$Y$6)","v":34.231584730535054},null,null,{"$f":"ROW()","v":907},54.931185104353943,28.9756765008825,23.523348747933763,21.16931996018398,27.428758482407424,34.231584730535054,null,null,null,54.931185104353943,28.9756765008825,23.523348747933763,21.16931996018398,27.428758482407424,34.231584730535054,null,null,null,54.931185104353943,28.9756765008825,23.523348747933763,21.16931996018398,27.428758482407424,34.231584730535054,null,null,null,{"$f":"G907*$AV$198","v":54.381873253310403},28.685919735873675,23.288115260454425,20.957626760582141,27.154470897583352,33.889268883229704,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931185104353943,28.9756765008825,23.523348747933763,21.16931996018398,27.428758482407424,34.231584730535054,null,null,null,{"$f":"Y907*$AV$198","v":54.381873253310403},{"$f":"Z907*$AV$198","v":28.685919735873675},{"$f":"AA907*$AV$198","v":23.288115260454425},{"$f":"AB907*$AV$198","v":20.957626760582141},{"$f":"AC907*$AV$198","v":27.154470897583352},{"$f":"AD907*$AV$198","v":33.889268883229704},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":908}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":909}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":910},{"$f":"($I$99)*60/P906","v":5.0272043876642831},8.3084523808688875,9.5819800441058245,11.651858787952326,8.8947443479766974,7.4289928969879311,null,{"$f":"SUMPRODUCT(P$562:V$562,P910:V910)/W$562","v":8.2379035242067804},null,{"$f":"($J$99)*60/Y906","v":5.0272043876642831},8.3084523808688875,9.5819800441058245,11.651858787952326,8.8947443479766974,7.4289928969879311,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y910:AE910)/AF$562","v":8.4579348724066303},null,{"$f":"($K$99)*60/AH906","v":4.692057428486665},7.7545555554776291,8.9431813744987725,10.875068202088841,8.3017613914449182,6.9337267038554034,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH910:AN910)/AO$562","v":7.5510790194921791},null,{"$f":"($L$99)*60/AQ906","v":5.2917940922781925},8.7457393482830401,10.08629478326929,12.265114513634028,9.3628887873438931,7.8199925231451903,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ910:AW910)/AX$562","v":8.3407072262327766},null,{"$f":"($M$99)*60/AZ906","v":10.054408775328566},16.616904761737775,19.163960088211649,23.303717575904653,17.789488695953395,14.857985793975862,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ910:BF910)/BG$562","v":16.626947536138939},null,{"$f":"($L$99)*60/BI906","v":5.2917940922781925},8.7457393482830401,10.08629478326929,12.265114513634028,9.3628887873438931,7.8199925231451903,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI910:BO910)/BP$562","v":8.3163631375903098}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":911},{"$f":"60*$I$99/(1/($P$152/$P906+$Q$152/$Q906+$R$152/$R906+$S$152/$S906+$T$152/$T906+$U$152/$U906))","v":8.2182077257580364},8.2182077257580364,8.2182077257580364,8.2182077257580364,8.2182077257580364,8.2182077257580364,null,{"$f":"SUMPRODUCT(P$463:V$463,P911:V911)/W$463","v":8.2182077257580364},null,{"$f":"60*$J$99/(1/($Y$152/$Y906+$Z$152/$Z906+$AA$152/$AA906+$AB$152/$AB906+$AC$152/$AC906+$AD$152/$AD906))","v":8.2182077257580382},8.2182077257580382,8.2182077257580382,8.2182077257580382,8.2182077257580382,8.2182077257580382,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y911:AE911)/AF$463","v":8.2182077257580399},null,{"$f":"AH910","v":4.692057428486665},7.7545555554776291,8.9431813744987725,10.875068202088841,8.3017613914449182,6.9337267038554034,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH911:AN911)/AO$463","v":7.390267972521281},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ906+$BA$152/$BA906+$BB$152/$BB906+$BC$152/$BC906+$BD$152/$BD906+$BE$152/$BE906))","v":16.436415451516076},16.436415451516076,16.436415451516076,16.436415451516076,16.436415451516076,16.436415451516076,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ911:BF911)/BG$463","v":16.436415451516076}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":912},{"$f":"($I$93)*60/P907","v":18.412392899657206},34.905641031516829,42.996198093351929,47.777376150366059,36.874237790743429,29.546238380339027,null,{"$f":"SUMPRODUCT(P$562:V$562,P912:V912)/W$562","v":34.352345508164071},null,{"$f":"($J$93)*60/Y907","v":18.412392899657206},34.905641031516829,42.996198093351929,47.777376150366059,36.874237790743429,29.546238380339027,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y912:AE912)/AF$562","v":35.161056589959117},null,{"$f":"($K$93)*60/AH907","v":27.618589349485813},52.358461547275247,64.494297140027896,71.666064225549093,55.311356686115147,44.319357570508544,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH912:AN912)/AO$562","v":50.164268724526536},null,{"$f":"($L$93)*60/AQ907","v":6.6198528749298946},12.549710914438478,15.458528780614394,17.177517479083125,13.257485345886032,10.622831706415125,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ912:AW912)/AX$562","v":11.723380114918088},null,{"$f":"($M$93)*60/AZ907","v":17.211751445992057},32.629502355919996,40.192487676014601,44.66189308056093,34.469730201472025,27.619577419287747,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ912:BF912)/BG$562","v":32.244805158347901},null,{"$f":"($L$93)*60/BI907","v":6.6198528749298946},12.549710914438478,15.458528780614394,17.177517479083125,13.257485345886032,10.622831706415125,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI912:BO912)/BP$562","v":11.677447592901634}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":913},{"$f":"60*$I$93/(1/($P$152/$P907+$Q$152/$Q907+$R$152/$R907+$S$152/$S907+$T$152/$T907+$U$152/$U907))","v":34.061725956739203},34.061725956739203,34.061725956739203,34.061725956739203,34.061725956739203,34.061725956739203,null,{"$f":"SUMPRODUCT(P$562:V$562,P913:V913)/W$562","v":34.061725956739203},null,{"$f":"60*$J$93/(1/($Y$152/$Y907+$Z$152/$Z907+$AA$152/$AA907+$AB$152/$AB907+$AC$152/$AC907+$AD$152/$AD907))","v":34.061725956739203},34.061725956739203,34.061725956739203,34.061725956739203,34.061725956739203,34.061725956739203,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y913:AE913)/AF$562","v":34.06172595673921},null,{"$f":"AH912","v":27.618589349485813},52.358461547275247,64.494297140027896,71.666064225549093,55.311356686115147,44.319357570508544,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH913:AN913)/AO$562","v":50.164268724526536},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ907+$BA$152/$BA907+$BB$152/$BB907+$BC$152/$BC907+$BD$152/$BD907+$BE$152/$BE907))","v":31.840617576643492},31.840617576643492,31.840617576643492,31.840617576643492,31.840617576643492,31.840617576643492,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ913:BF913)/BG$562","v":31.840617576643481}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":914},{"$f":"SUM(P910:P913)","v":65.71953096981872},85.494027094882966,94.858111819954985,101.70916862081563,88.048915821217363,79.255164959824185,null,{"$f":"SUM(W910:W913)","v":84.870182714868093},null,{"$f":"SUM(Y910:Y913)","v":65.719530969818734},85.494027094882966,94.858111819954985,101.70916862081563,88.048915821217378,79.255164959824199,null,{"$f":"SUM(AF910:AF913)","v":85.898925144863},null,{"$f":"SUM(AH910:AH913)","v":64.621293555944959},120.22603420550575,146.87495702905335,165.08226485527587,127.22623615512013,102.50616854872789,null,{"$f":"SUM(AO910:AO913)","v":115.26988444106654},null,{"$f":"AQ910+AQ912","v":11.911646967208087},21.295450262721516,25.544823563883682,29.442631992717153,22.620374133229923,18.442824229560316,null,{"$f":"AX910+AX912","v":20.064087341150866},null,{"$f":"SUM(AZ910:AZ913)","v":75.543193249480197},97.523440145817347,107.63348079238582,116.24264368462515,100.53625192558499,90.754596241423187,null,{"$f":"SUM(BG910:BG913)","v":97.148785722646394},null,{"$f":"BI910+BI912","v":11.911646967208087},21.295450262721516,25.544823563883682,29.442631992717153,22.620374133229923,18.442824229560316,null,{"$f":"BP910+BP912","v":19.993810730491944}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":915}]
[null,"Ratio, cordon-trip duration w/ tolls, to prior duration",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":916},{"$f":"P914/P866","v":1.0001626557327197},1.0000401165183617,1.0003493664926373,1.0002835942699937,1.0003212275788356,1.0002020181993851,null,{"$f":"W914/W866","v":1.0002638792881868},null,{"$f":"Y914/Y866","v":1.0001626557327197},1.0000401165183614,1.0003493664926371,1.0002835942699937,1.0003212275788356,1.0002020181993851,null,{"$f":"AF914/AF866","v":1.0002510904111097},null,{"$f":"AH914/AH866","v":1.0000032254733273},0.99981520140003299,1.0004516375386903,1.0003193498712701,1.0004105842796043,1.0001527805222485,null,{"$f":"AO914/AO866","v":1.000237949981889},null,{"$f":"AQ914/AQ866","v":1.0000133229405812},0.99990373255999299,1.0003515404701866,1.0002675842776643,1.0003069944230443,1.000129219301249,null,{"$f":"AX914/AX866","v":1.0002000361422532},null,{"$f":"AZ914/AZ866","v":1.0001471240777924},1.0000506910444271,1.0003089462222392,1.0002573760045617,1.0002811741887798,1.0001825505646105,null,{"$f":"BG914/BG866","v":1.0002216155794577},null,{"$f":"BI914/BI866","v":1.0000133229405812},0.99990373255999299,1.0003515404701866,1.0002675842776643,1.0003069944230443,1.000129219301249,null,{"$f":"BP914/BP866","v":1.0001988534367268}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":917}]
[null,"Speeds (with averaging)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":918}]
[null,"Cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$906,G$858,G$810,G$762,G$714,G$666,G$618,G$567,G$483)","v":17.892725322881038},10.792016375315111,9.418472128342982,7.7313765775410657,10.155583235767342,12.124974186031281,null,null,{"$f":"ROW()","v":919},{"$f":"G919","v":17.892725322881038},10.792016375315111,9.418472128342982,7.7313765775410657,10.155583235767342,12.124974186031281,null,null,null,{"$f":"G919","v":17.892725322881038},10.792016375315111,9.418472128342982,7.7313765775410657,10.155583235767342,12.124974186031281,null,null,null,{"$f":"P919","v":17.892725322881038},10.792016375315111,9.418472128342982,7.7313765775410657,10.155583235767342,12.124974186031281,null,null,null,{"$f":"G919*$AU$198","v":16.998089056736987},10.252415556549355,8.9475485219258317,7.344807748664012,9.6478040739789748,11.518725476729717,null,null,null,{"$f":"G919","v":17.892725322881038},10.792016375315111,9.418472128342982,7.7313765775410657,10.155583235767342,12.124974186031281,null,null,null,{"$f":"Y919*$AU$198","v":16.998089056736987},{"$f":"Z919*$AU$198","v":10.252415556549355},{"$f":"AA919*$AU$198","v":8.9475485219258317},{"$f":"AB919*$AU$198","v":7.344807748664012},{"$f":"AC919*$AU$198","v":9.6478040739789748},{"$f":"AD919*$AU$198","v":11.518725476729717}]
[null,"Non-cordon speeds",null,null,null,null,{"$f":"AVERAGE(G$907,G$859,G$811,G$763,G$715,G$667,G$619,G$568,G$507)","v":54.931853629608426},28.981940023940737,23.518113636156393,21.167354516542062,27.418730547720745,34.222526939381694,null,null,{"$f":"ROW()","v":920},54.931853629608426,28.981940023940737,23.518113636156393,21.167354516542062,27.418730547720745,34.222526939381694,null,null,null,54.931853629608426,28.981940023940737,23.518113636156393,21.167354516542062,27.418730547720745,34.222526939381694,null,null,null,54.931853629608426,28.981940023940737,23.518113636156393,21.167354516542062,27.418730547720745,34.222526939381694,null,null,null,{"$f":"G920*$AV$198","v":54.382535093312342},28.692120623701328,23.282932499794828,20.955680971376641,27.144543242243536,33.88030166998788,null,null,null,54.931853629608426,28.981940023940737,23.518113636156393,21.167354516542062,27.418730547720745,34.222526939381694,null,null,null,{"$f":"Y920*$AV$198","v":54.382535093312342},{"$f":"Z920*$AV$198","v":28.692120623701328},{"$f":"AA920*$AV$198","v":23.282932499794828},{"$f":"AB920*$AV$198","v":20.955680971376641},{"$f":"AC920*$AV$198","v":27.144543242243536},{"$f":"AD920*$AV$198","v":33.88030166998788}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":921}]
[null,"Traffic-Rebound Factors for cordon entries for next round",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":922},{"$f":"P916^Elasticities!$G$67","v":0.999837370719865},{"$f":"Q916^Elasticities!$G$67","v":0.99995988509090883},{"$f":"R916^Elasticities!$G$67","v":0.99965075552168114},{"$f":"S916^Elasticities!$G$67","v":0.99971648613291453},{"$f":"T916^Elasticities!$G$67","v":0.99967887557518587},{"$f":"U916^Elasticities!$G$67","v":0.99979802260372475},null,null,null,{"$f":"Y916^Elasticities!$H$67","v":0.999837370719865},{"$f":"Z916^Elasticities!$H$67","v":0.99995988509090905},{"$f":"AA916^Elasticities!$H$67","v":0.99965075552168137},{"$f":"AB916^Elasticities!$H$67","v":0.99971648613291453},{"$f":"AC916^Elasticities!$H$67","v":0.99967887557518587},{"$f":"AD916^Elasticities!$H$67","v":0.99979802260372475},null,null,null,{"$f":"AH916^Elasticities!$J$67","v":0.99999677453707636},{"$f":"AI916^Elasticities!$J$67","v":1.0001848327568017},{"$f":"AJ916^Elasticities!$J$67","v":0.99954856634569422},{"$f":"AK916^Elasticities!$J$67","v":0.99968075208051188},{"$f":"AL916^Elasticities!$J$67","v":0.99958958423065869},{"$f":"AM916^Elasticities!$J$67","v":0.99984724281607384},null,null,null,{"$f":"AQ916^Elasticities!$G$69","v":0.99999200632085061},{"$f":"AR916^Elasticities!$G$69","v":1.0000577649127369},{"$f":"AS916^Elasticities!$G$69","v":0.99978913501855815},{"$f":"AT916^Elasticities!$G$69","v":0.99983948379407905},{"$f":"AU916^Elasticities!$G$69","v":0.99981584857201711},{"$f":"AV916^Elasticities!$G$69","v":0.99992247643321441},null,null,null,{"$f":"AZ916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99995096345029544},{"$f":"BA916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99998310355618669},{"$f":"BB916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99989703913144001},{"$f":"BC916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99991422271606833},{"$f":"BD916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99990629283521537},{"$f":"BE916^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99993915721623594},null,null,null,{"$f":"BI916^Elasticities!$G$69","v":0.99999200632085061},{"$f":"BJ916^Elasticities!$G$69","v":1.0000577649127369},{"$f":"BK916^Elasticities!$G$69","v":0.99978913501855815},{"$f":"BL916^Elasticities!$G$69","v":0.99983948379407905},{"$f":"BM916^Elasticities!$G$69","v":0.99981584857201711},{"$f":"BN916^Elasticities!$G$69","v":0.99992247643321441}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":923},"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for auto work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for auto non-work trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of veh. travel\" for thru trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for truck trips (see Elasticity)",null,null,null,null,null,null,null,null,"Calculated as ratio of \"new\" to \"prior\" traffic duration, raised to \"time elasticity of vehicle travel\" for taxi trips (see Elasticities)"]
[null,"Traffic-Rebound Factors for intra-cordon travel for next round",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":924},{"$f":"(P871/P919)^Elasticities!$G$67","v":1.0000689493561736},{"$f":"(Q871/Q919)^Elasticities!$G$67","v":1.000467298541778},{"$f":"(R871/R919)^Elasticities!$G$67","v":0.99965715562724411},{"$f":"(S871/S919)^Elasticities!$G$67","v":0.99988219708864023},{"$f":"(T871/T919)^Elasticities!$G$67","v":0.99954173595495088},{"$f":"(U871/U919)^Elasticities!$G$67","v":0.99989406345464982},null,null,null,{"$f":"(Y871/Y919)^Elasticities!$H$67","v":1.0000689493561736},{"$f":"(Z871/Z919)^Elasticities!$H$67","v":1.000467298541778},{"$f":"(AA871/AA919)^Elasticities!$H$67","v":0.99965715562724411},{"$f":"(AB871/AB919)^Elasticities!$H$67","v":0.99988219708864023},{"$f":"(AC871/AC919)^Elasticities!$H$67","v":0.99954173595495088},{"$f":"(AD871/AD919)^Elasticities!$H$67","v":0.99989406345464982},null,null,null,{"$f":"(AH871/AH919)^Elasticities!$J$67","v":1.0000689493561736},{"$f":"(AI871/AI919)^Elasticities!$J$67","v":1.000467298541778},{"$f":"(AJ871/AJ919)^Elasticities!$J$67","v":0.99965715562724411},{"$f":"(AK871/AK919)^Elasticities!$J$67","v":0.99988219708864023},{"$f":"(AL871/AL919)^Elasticities!$J$67","v":0.99954173595495088},{"$f":"(AM871/AM919)^Elasticities!$J$67","v":0.99989406345464982},null,null,null,{"$f":"(AQ871/AQ919)^Elasticities!$G$69","v":1.0000413690432408},{"$f":"(AR871/AR919)^Elasticities!$G$69","v":1.0002803529266284},{"$f":"(AS871/AS919)^Elasticities!$G$69","v":0.99979427926901754},{"$f":"(AT871/AT919)^Elasticities!$G$69","v":0.99992931658778939},{"$f":"(AU871/AU919)^Elasticities!$G$69","v":0.99972501636686772},{"$f":"(AV871/AV919)^Elasticities!$G$69","v":0.99993643672601717},null,null,null,{"$f":"(AZ871/AZ919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000229825905209},{"$f":"(BA871/BA919)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0001557419237865},{"$f":"(BB871/BB919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99988570547967504},{"$f":"(BC871/BC919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996073082083192},{"$f":"(BD871/BD919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99984722197838161},{"$f":"(BE871/BE919)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99996468657119297},null,null,null,{"$f":"(BI871/BI919)^Elasticities!$G$69","v":1.0000413690432408},{"$f":"(BJ871/BJ919)^Elasticities!$G$69","v":1.0002803529266284},{"$f":"(BK871/BK919)^Elasticities!$G$69","v":0.99979427926901754},{"$f":"(BL871/BL919)^Elasticities!$G$69","v":0.99992931658778939},{"$f":"(BM871/BM919)^Elasticities!$G$69","v":0.99972501636686772},{"$f":"(BN871/BN919)^Elasticities!$G$69","v":0.99993643672601717}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":925},"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic-Rebound Factors for non-cordon travel for next round",null,null,null,null,{"$f":"($I$85*$I$93*P926+$J$85*$J$93*Y926+$K$85*$K$93*AH926+$L$85*$L$93*AQ926+$M$85*$M$93*AZ926+$N$85*$N$93*BI926)/SUMPRODUCT($I$85:$N$85,$I$93:$N$93)","v":1.0000010016100804},1.0001680586473096,0.9996241529467258,0.99973852870646118,0.99965669664858769,0.99988041118960813,null,null,{"$f":"ROW()","v":926},{"$f":"(P872/P920)^Elasticities!$G$67","v":0.99999847874185621},{"$f":"(Q872/Q920)^Elasticities!$G$67","v":0.99997298596190443},{"$f":"(R872/R920)^Elasticities!$G$67","v":1.0000278256662547},{"$f":"(S872/S920)^Elasticities!$G$67","v":1.0000116067081786},{"$f":"(T872/T920)^Elasticities!$G$67","v":1.0000457187155944},{"$f":"(U872/U920)^Elasticities!$G$67","v":1.0000330852644546},null,null,null,{"$f":"(Y859/Y907)^Elasticities!$H$67","v":1.0000016779496788},{"$f":"(Z859/Z907)^Elasticities!$H$67","v":1.0002253874416533},{"$f":"(AA859/AA907)^Elasticities!$H$67","v":0.99950396201172909},{"$f":"(AB859/AB907)^Elasticities!$H$67","v":0.99965682045149951},{"$f":"(AC859/AC907)^Elasticities!$H$67","v":0.99954191765291278},{"$f":"(AD859/AD907)^Elasticities!$H$67","v":0.99983620629611636},null,null,null,{"$f":"(AH859/AH907)^Elasticities!$J$67","v":1.0000016779496788},{"$f":"(AI859/AI907)^Elasticities!$J$67","v":1.0002253874416533},{"$f":"(AJ859/AJ907)^Elasticities!$J$67","v":0.99950396201172909},{"$f":"(AK859/AK907)^Elasticities!$J$67","v":0.99965682045149951},{"$f":"(AL859/AL907)^Elasticities!$J$67","v":0.99954191765291278},{"$f":"(AM859/AM907)^Elasticities!$J$67","v":0.99983620629611636},null,null,null,{"$f":"(AQ872/AQ920)^Elasticities!$G$69","v":0.9999990872448361},{"$f":"(AR872/AR920)^Elasticities!$G$69","v":0.99998379148957039},{"$f":"(AS872/AS920)^Elasticities!$G$69","v":1.0000166953068419},{"$f":"(AT872/AT920)^Elasticities!$G$69","v":1.0000069640087412},{"$f":"(AU872/AU920)^Elasticities!$G$69","v":1.000027430978538},{"$f":"(AV872/AV920)^Elasticities!$G$69","v":1.0000198510273186},null,null,null,{"$f":"(AZ859/AZ907)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000005593162467},{"$f":"(BA859/BA907)^(Elasticities!$J$89*Elasticities!$G$67)","v":1.0000751235035357},{"$f":"(BB859/BB907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99983462665707479},{"$f":"(BC859/BC907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99988559372887076},{"$f":"(BD859/BD907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99984728256287592},{"$f":"(BE859/BE907)^(Elasticities!$J$89*Elasticities!$G$67)","v":0.99994539911750335},null,null,null,{"$f":"(BI872/BI920)^Elasticities!$G$69","v":0.9999990872448361},{"$f":"(BJ872/BJ920)^Elasticities!$G$69","v":0.99998379148957039},{"$f":"(BK872/BK920)^Elasticities!$G$69","v":1.0000166953068419},{"$f":"(BL872/BL920)^Elasticities!$G$69","v":1.0000069640087412},{"$f":"(BM872/BM920)^Elasticities!$G$69","v":1.000027430978538},{"$f":"(BN872/BN920)^Elasticities!$G$69","v":1.0000198510273186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":927},"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for non-auto work trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for thru trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for truck trips",null,null,null,null,null,null,null,null,"Calculated as ratio of \"prior\" to \"new\" non-cordon traffic speeds, raised to \"time elasticity of vehicle travel\" for taxi trips"]
[null,"Traffic Round 10 • (Rebound Effect 9)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":928},"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":929},"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight",null,null,null,"Midnight - 10 a.m.","10 a.m. - Noon","Noon - 5 p.m.","5 p.m. - 8 p.m.","8 p.m. - 10 p.m.","10 p.m.-Midnight"]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":930}]
[null,"Period entries with eighth rebound effect but before ninth",null,null,null,null,{"$f":"P931+Y931+AH931+AQ931+AZ931+BI931","v":127224.79513554453},54524.732787756366,126322.18743396172,86542.868665476053,48427.281735513439,38745.591134045717,null,{"$f":"SUM(G931:M931)","v":481787.45689229784},{"$f":"ROW()","v":931},{"$f":"P885","v":24862.708434019874},2530.9422080034265,27555.523242164261,7928.4116137046967,10848.247988572155,561.13700172103631,null,{"$f":"SUM(P931:V931)","v":74286.970488185456},null,{"$f":"Y885","v":44039.90895523459},28561.247019888946,51459.19593107843,46368.635659608102,18500.175130458116,20283.026778970579,null,{"$f":"SUM(Y931:AE931)","v":209212.18947523876},null,{"$f":"AH885","v":30679.335868062557},14264.402891061214,18808.501097390745,12534.42412800511,6699.7904618372613,6868.9358921173953,null,{"$f":"SUM(AH931:AN931)","v":89855.390338474273},null,{"$f":"AQ885","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ931:AW931)","v":33794.15699001529},null,{"$f":"AZ885","v":3934.6082434597965},2316.524239630884,3677.8690403571254,2825.5334365144308,1521.6360146862542,1582.0303795351988,null,{"$f":"SUM(AZ931:BF931)","v":15858.201354183688},null,{"$f":"BI885","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI931:BO931)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Above row repeats figures in Row \",O885,\".\")","v":"Above row repeats figures in Row 885."},null,null,null,null,"Row below is sum of respective figures in column blocks to riight.",null,null,null,null,null,null,null,{"$f":"ROW()","v":932},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O933, \" figures are set equal to Row \",$O931, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 933 figures are set equal to Row 931 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O933, \" figures are set equal to Row \",$O931, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 933 figures are set equal to Row 931 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Period entries after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P933+Y933+AH933+AQ933+AZ933+BI933","v":127213.29765780605},54526.082915300874,126285.72251261128,86523.230744223532,48414.964952166541,38740.235549682024,null,{"$f":"SUM(G933:M933)","v":481703.53433179029},{"$f":"ROW()","v":933},{"$f":"P931*P922","v":24858.665029645043},2530.8406794868374,27545.899627824747,7926.1637990682502,10844.764351176584,561.02366473047505,null,{"$f":"SUM(P933:V933)","v":74267.357151931923},null,{"$f":"Y931*Y922","v":44032.746776543987},28560.101288061218,51441.224091040785,46355.489508400773,18494.234272360387,20278.930066033183,null,{"$f":"SUM(Y933:AE933)","v":209162.72600244035},null,{"$f":"AH931*AH922","v":30679.236913002194},14267.039419971699,18800.010307008335,12530.422539180263,6697.0407621804407,6867.8866128139462,null,{"$f":"SUM(AH933:AN933)","v":89841.636554156896},null,{"$f":"AQ931","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ933:AW933)","v":33794.15699001529},null,{"$f":"AZ931*AZ922","v":3934.4153038470981},2316.485098609227,3677.4903637662806,2825.2910699305885,1521.4934264894837,1581.9341244029085,null,{"$f":"SUM(AZ933:BF933)","v":15857.109387045588},null,{"$f":"BI931","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI933:BO933)","v":58780.548246200575}]
[null,"Cordon VMT from inbound cordon-crossing trips",null,null,null,null,193653.64575117946,83837.148078867976,193064.81828386552,132769.74046731315,74234.983491766005,59796.465849846005,null,{"$f":"SUM(G934:M934)","v":737356.80192283809},{"$f":"ROW()","v":934},{"$f":"P933*$I$99","v":37287.997544467566},3796.2610192302564,41318.849441737118,11889.245698602375,16267.146526764875,841.53549709571257,null,{"$f":"SUM(P934:V934)","v":111401.03572789791},null,{"$f":"Y933*$J$99","v":66049.120164815977},42840.151932091831,77161.836136561178,69533.234262601152,27741.35140854058,30418.395099049776,null,{"$f":"SUM(Y934:AE934)","v":313744.08900366048},null,{"$f":"AH933*$K$99","v":42950.931678203073},19973.85518796038,26320.014429811672,17542.59155485237,9375.8570670526169,9615.0412579395252,null,{"$f":"SUM(AH934:AN934)","v":125778.29117581966},null,{"$f":"AQ933*$L$99","v":11427.940807487597},4227.33004662649,15419.819293096014,9468.6562620409077,5846.6602891867296,4300.8287865851953,null,{"$f":"SUM(AQ934:AW934)","v":50691.235485022939},null,{"$f":"AZ933*$M$99","v":11803.245911541295},6949.4552958276809,11032.471091298841,8475.8732097917655,4564.480279468451,4745.8023732087258,null,{"$f":"SUM(AZ934:BF934)","v":47571.328161136757},null,{"$f":"BI933*$L$99","v":24134.409644664051},6050.094597131364,21811.827891360768,15860.139479424834,10439.487920752747,9874.8628359670984,null,{"$f":"SUM(BI934:BO934)","v":88170.822369300862}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"(W935*W933+AF935*AF933+AO935*AO933+BG935*BG933+BP935*BP933)/(W933+AF933+AO933+BG933+BP933)","v":4.3633739480914784},{"$f":"ROW()","v":935},null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(P933:V933,P$339:V$339)/W933","v":5.5363214457177996},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(Y933:AE933,Y$339:AE$339)/AF933","v":4.9301717449709894},null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AH933:AN933,AH$339:AN$339)/AO933","v":3.7317931623456704},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average Toll (increment over any prior CBD tolls):",{"$f":"SUMPRODUCT(AZ933:BF933,AZ$339:BF$339)/BG933","v":11.14639339003754}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,null,null,null,null,null,null,null," Includes trucks and buses as well as double toll (where applicable) for through-trips.",{"$f":"ROW()","v":936}]
[null,"Period exits after new tolls but before reflecting rebound effect",null,null,null,null,{"$f":"P937+Y937+AH937+AQ937+AZ937+BI937","v":138569.66291587602},42436.120286494246,127720.86750944401,82573.139350782643,46893.39889652461,43594.267933176227,null,{"$f":"SUM(G937:M937)","v":481787.45689229778},{"$f":"ROW()","v":937},{"$f":"P$152*$W931","v":21922.990885910651},6791.8252334688596,19639.932399770201,12537.381361411692,6877.9935589665347,6516.847048657507,null,{"$f":"W$152*$W931","v":74286.970488185441},null,{"$f":"Y$152*$AF931","v":61741.068358905752},19127.615762082791,55311.358526258417,35308.654905023293,19370.28905892494,18353.202864043567,null,{"$f":"SUM(Y937:AE937)","v":209212.18947523876},null,{"$f":"AH$152*$AO931","v":26517.421433326683},8215.197139599366,23755.899324004127,15164.857156627832,8319.4238764217771,7882.5914084944898,null,{"$f":"SUM(AH937:AN937)","v":89855.390338474273},null,{"$f":"AQ931","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ937:AW937)","v":33794.15699001529},null,{"$f":"AZ$152*$BG931","v":4679.9486029652599},1449.8657221713509,4192.5791364401557,2676.3821000760354,1468.2602622517315,1391.1655302791553,null,{"$f":"SUM(AZ937:BF937)","v":15858.201354183688},null,{"$f":"BI931","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI937:BO937)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":938}]
[null,"Period exits after new tolls, reflecting rebound effect",null,null,null,null,{"$f":"P939+Y939+AH939+AQ939+AZ939+BI939","v":138544.89634487391},42428.447509419537,127698.68012712986,82558.975774868944,46885.628774431476,43586.905801066576,null,{"$f":"SUM(G939:M939)","v":481703.5343317904},{"$f":"ROW()","v":939},{"$f":"P937*$W933/$W931","v":21917.202751206776},6790.0320475143935,19634.747040943184,12534.071226743872,6876.1776227460223,6515.1264627776654,null,{"$f":"SUM(P939:V939)","v":74267.357151931923},null,{"$f":"Y937*$AF933/$AF931","v":61726.471084899036},19123.093471558899,55298.281411178417,35300.306975125786,19365.709393809026,18348.863665869187,null,{"$f":"SUM(Y939:AE939)","v":209162.72600244035},null,{"$f":"AH937*$AO933/$AO931","v":26513.362523853659},8213.9396741411765,23752.263109033196,15162.535936122858,8318.1504574180854,7881.3848535879224,null,{"$f":"SUM(AH939:AN939)","v":89841.63655415691},null,{"$f":"AQ937*$AX933/$AX931","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ939:AW939)","v":33794.15699001529},null,{"$f":"AZ937*$BG933/$BG931","v":4679.6263501467783},1449.7658870331843,4192.2904430039562,2676.1978092326412,1468.1591604987175,1391.0697371303113,null,{"$f":"SUM(AZ939:BF939)","v":15857.109387045588},null,{"$f":"BI937*$AX933/$AX931","v":16089.606429776033},4033.3963980875765,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI939:BO939)","v":58780.548246200575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":940}]
[null,"Cordon VMT from outbound cordon-crossing trips",null,null,null,null,{"$f":"P941+Y941+AH941+AQ941+AZ941+BI941","v":203294.86017710777},62426.5699663255,186153.31774818321,120004.30784717365,67627.329804168621,63134.901916298484,null,{"$f":"SUM(G941:M941)","v":702641.28745925729},{"$f":"ROW()","v":941},{"$f":"P939*$I$99","v":32875.804126810166},10185.048071271591,29452.120561414777,18801.106840115808,10314.266434119034,9772.6896941664982,null,{"$f":"SUM(P941:V941)","v":111401.03572789789},null,{"$f":"Y939*$J$99","v":92589.706627348554},28684.640207338351,82947.42211676763,52950.460462688679,29048.564090713538,27523.295498803782,null,{"$f":"SUM(Y941:AE941)","v":313744.08900366054},null,{"$f":"AH939*$K$99","v":37118.707533395129},11499.515543797648,33253.168352646477,21227.550310572005,11645.41064038532,11033.938795023092,null,{"$f":"SUM(AH941:AN941)","v":125778.29117581966},null,{"$f":"AQ939*$L$99*Taxis!$L$228","v":8570.955605615698},{"$f":"AR939*$L$99*Taxis!$L$228","v":3170.4975349698675},{"$f":"AS939*$L$99*Taxis!$L$228","v":11564.864469822011},{"$f":"AT939*$L$99*Taxis!$L$228","v":7101.4921965306803},{"$f":"AU939*$L$99*Taxis!$L$228","v":4384.9952168900472},{"$f":"AV939*$L$99*Taxis!$L$228","v":3225.6215899388962},null,{"$f":"SUM(AQ941:AW941)","v":38018.426613767202},null,{"$f":"AZ939*$M$99","v":14038.879050440335},4349.2976610995529,12576.871329011869,8028.5934276979242,4404.4774814961529,4173.2092113909339,null,{"$f":"SUM(AZ941:BF941)","v":47571.328161136771},null,{"$f":"BI939*$L$99*Taxis!$L$228","v":18100.807233498039},{"$f":"BJ939*$L$99*Taxis!$L$228","v":4537.5709478485242},{"$f":"BK939*$L$99*Taxis!$L$228","v":16358.870918520577},{"$f":"BL939*$L$99*Taxis!$L$228","v":11895.104609568625},{"$f":"BM939*$L$99*Taxis!$L$228","v":7829.6159405645594},{"$f":"BN939*$L$99*Taxis!$L$228","v":7406.1471269753238},null,{"$f":"SUM(BI941:BO941)","v":66128.116776975658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":942},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!O$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L228, to reflect shorter cordon leg for last trip in shift."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L\",Taxis!AG$228, \", to reflect shorter cordon leg for last trip in shift.\")","v":"Taxicab outbound cordon VMT is attenuated with factor from 'Taxis' worksheet, Cell L, to reflect shorter cordon leg for last trip in shift."}]
[null,"VMT from Intra-cordon Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":943},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O945, \" figures are set equal to Row \",$O944, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 945 figures are set equal to Row 944 figures, since rebound effects are presumed accounted for by taxi time-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",$O945, \" figures are set equal to Row \",$O944, \" figures, since rebound effects are presumed accounted for by taxi time-elasticity.\")","v":"Row 945 figures are set equal to Row 944 figures, since rebound effects are presumed accounted for by taxi time-elasticity."}]
[null,"Before rebound effect (repeated from above)",null,null,null,null,{"$f":"P944+Y944+AH944+AQ944+AZ944+BI944","v":537413.64200728468},124255.01627009438,352843.71286627772,223738.02295300653,143541.74116510648,136816.71719213709,null,{"$f":"SUM(G944:M944)","v":1518608.8524539068},{"$f":"ROW()","v":944},{"$f":"P897","v":9318.7169007695466},3025.5488226179491,11267.630647607033,6891.8273118713869,4095.2992554729399,3320.144096182767,null,{"$f":"SUM(P944:V944)","v":37919.167034521626},null,{"$f":"Y897","v":27944.47311220743},9072.8550532891659,33788.772104916839,20666.845560536629,12280.765812464593,9956.2717069741393,null,{"$f":"SUM(Y944:AE944)","v":113709.98335038881},null,{"$f":"AH897","v":0},0,0,0,0,0,null,{"$f":"SUM(AH944:AN944)","v":0},null,{"$f":"AQ897","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ944:AW944)","v":510435.42163078324},null,{"$f":"AZ897","v":5229.4809559930181},1763.2283208844401,5712.9309271062875,3575.5771323215872,2083.8881512576904,1743.1926791451822,null,{"$f":"SUM(AZ944:BF944)","v":20108.298166708202},null,{"$f":"BI897","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI944:BO944)","v":836435.98227150494}]
[null,"After rebound effect",null,null,null,null,537416.33146726456,124260.94444515421,352827.61257543741,223734.6360511299,143533.91823097743,136815.2491764017,null,{"$f":"SUM(G945:M945)","v":1518588.6919463649},{"$f":"ROW()","v":945},{"$f":"P944*P924","v":9319.3594203002194},3026.9626571708363,11263.76760384521,6891.0154345494593,4093.4225270704401,3319.7923715871525,null,{"$f":"SUM(P945:V945)","v":37914.320014523313},null,{"$f":"Y944*Y924","v":27946.39986563713},9077.0947852253303,33777.187814538338,20664.410945960975,12275.137979047073,9955.2169739449346,null,{"$f":"SUM(Y945:AE945)","v":113695.44836435377},null,{"$f":"AH944*AH924","v":0},0,0,0,0,0,null,{"$f":"SUM(AH945:AN945)","v":0},null,{"$f":"AQ944","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ945:AW945)","v":510435.42163078324},null,{"$f":"AZ944*AZ924","v":5229.6011430124663},1763.5029294552096,5712.2779704063241,3575.4367223425488,2083.5697789486671,1743.1311210346103,null,{"$f":"SUM(AZ945:BF945)","v":20107.519665199827},null,{"$f":"BI944","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI945:BO945)","v":836435.98227150494}]
[null,"Difference",null,null,null,null,2.6894599798115451,5.9281750598242979,-16.10029084029884,-3.386901876619504,-7.8229341290434604,-1.4680157353911909,null,{"$f":"W946+AF946+AO946+AX946+BG946+BP946","v":-20.160507541706465},{"$f":"ROW()","v":946},{"$f":"P945-P944","v":0.64251953067287104},1.4138345528872378,-3.8630437618230644,-0.81187732192756812,-1.8767284024997934,-0.35172459561454161,null,{"$f":"W945-W944","v":-4.8470199983130442},null,{"$f":"Y945-Y944","v":1.9267534296996018},4.2397319361643895,-11.584290378501464,-2.4346145756535407,-5.6278334175203781,-1.0547330292047263,null,{"$f":"AF945-AF944","v":-14.534986035039765},null,{"$f":"AH945-AH944","v":0},0,0,0,0,0,null,{"$f":"AO945-AO944","v":0},null,{"$f":"AQ945-AQ944","v":0},0,0,0,0,0,null,0,null,{"$f":"AZ945-AZ944","v":0.12018701944816712},0.27460857076948741,-0.65295669996339711,-0.14040997903839525,-0.31837230902328884,-6.1558110571922953E-2,null,{"$f":"BG945-BG944","v":-0.77850150837548426},null,{"$f":"BI945-BI944","v":0},0,0,0,0,0,null,{"$f":"BP945-BP944","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":947}]
[null,"Total Cordon VMT before ninth rebound effect",null,null,null,null,{"$f":"P948+Y948+AH948+AQ948+AZ948+BI948","v":930246.60994366976},271043.98163020943,723817.62462991534,470446.48441961338,280008.94646037597,255651.99739766819,null,{"$f":"W948+AF948+AO948+AX948+BG948+BP948","v":2931215.6444814522},{"$f":"ROW()","v":948},{"$f":"P901","v":79497.265880665334},17009.699984826377,82060.814110508742,37590.516774545969,30684.661576780974,13937.120171750583,null,{"$f":"SUM(P948:V948)","v":260780.07849907799},null,{"$f":"Y901","v":186615.93908341794},80606.149226246765,193944.60379092212,143182.78140748374,69086.46209653918,67910.616171495349,null,{"$f":"SUM(Y948:AE948)","v":741346.55177610507},null,{"$f":"AH901","v":80075.46022194493},31471.440042924813,59590.160589952829,38778.993798486117,21026.900073562654,20652.138220856643,null,{"$f":"SUM(AH948:AN948)","v":251595.092947728},null,{"$f":"AQ901","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ948:AW948)","v":565786.23283284309},null,{"$f":"AZ901","v":31073.151495268186},13062.398206291144,29324.27545749813,20081.323742092987,11053.576982071647,10662.780408588244,null,{"$f":"SUM(AZ948:BF948)","v":115257.50629181034},null,{"$f":"BI901","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI948:BO948)","v":996450.18213388755}]
[null,"Total Cordon VMT with ninth rebound effect",null,null,null,null,930194.54632834508,271040.07946038898,723713.75752907293,470392.38756677951,279971.02994502825,255631.39031822211,null,{"$f":"W949+AF949+AO949+AX949+BG949+BP949","v":2930943.1911478369},{"$f":"ROW()","v":949},{"$f":"P934+P941+P945","v":79483.161091577946},17008.271747672683,82034.737606997092,37581.367973267639,30674.835487954348,13934.017562849363,null,{"$f":"SUM(P949:V949)","v":260716.39147031907},null,{"$f":"Y934+Y941+Y945","v":186585.22665780166},80601.886924655511,193886.44606786713,143148.10567125079,69065.053478301183,67896.907571798496,null,{"$f":"SUM(Y949:AE949)","v":741183.62637167471},null,{"$f":"AH934+AH941+AH945","v":80069.639211598202},31473.370731758027,59573.182782458149,38770.141865424375,21021.267707437939,20648.980052962615,null,{"$f":"SUM(AH949:AN949)","v":251556.58235163931},null,{"$f":"AQ948","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"SUM(AQ949:AW949)","v":565786.23283284309},null,{"$f":"AZ934+AZ941+AZ945","v":31071.726104994097},13062.255886382443,29321.620390717035,20079.903359832242,11052.527539913272,10662.142705634269,null,{"$f":"SUM(AZ949:BF949)","v":115250.17598747335},null,{"$f":"BI948","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"SUM(BI949:BO949)","v":996450.18213388755}]
[null,"Hourly Cordon VMT with ninth rebound effect",null,null,null,null,{"$f":"G949/G$135","v":93019.454632834502},135520.03973019449,144742.75150581458,156797.46252225983,139985.51497251412,127815.69515911106,null,null,{"$f":"ROW()","v":950}]
[null,"Factor Change",null,null,null,null,{"$f":"G949/G948","v":0.99994403245895425},0.99998560318588525,0.99985650100618162,0.99988500955023485,0.99986458820038782,0.99991939402134211,null,null,{"$f":"ROW()","v":951},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":952}]
[null,"Speeds (employ same speed-volume relationships as before)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":953}]
[null,"Cordon speeds, with rebound effect",null,null,null,null,{"$f":"KSC/(1+0.1*($G$481*G950/$I$198)^KSE)","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,{"$f":"ROW()","v":954},{"$f":"G954","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,null,{"$f":"G954","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,null,{"$f":"P954","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,null,{"$f":"G954*$AU$198","v":17.008173562560415},10.29102599105217,8.925934596154887,7.3400754408908533,9.6152301007031404,11.510629815657046,null,null,null,{"$f":"G954","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,null,{"$f":"Y954*$AU$198","v":17.008173562560415},{"$f":"Z954*$AU$198","v":10.29102599105217},{"$f":"AA954*$AU$198","v":8.925934596154887},{"$f":"AB954*$AU$198","v":7.3400754408908533},{"$f":"AC954*$AU$198","v":9.6152301007031404},{"$f":"AD954*$AU$198","v":11.510629815657046}]
[null,"Non-cordon speeds, with rebound effect",null,null,null,null,{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(G907 / 'Speed-Vol., non-Cordon'!$Y$4)^G926,'Speed-Vol., non-Cordon'!$Y$6)","v":54.931137441548231},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(H907 / 'Speed-Vol., non-Cordon'!$Y$4)^H926,'Speed-Vol., non-Cordon'!$Y$6)","v":28.968344219313018},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(I907 / 'Speed-Vol., non-Cordon'!$Y$4)^I926,'Speed-Vol., non-Cordon'!$Y$6)","v":23.538510735983632},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(J907 / 'Speed-Vol., non-Cordon'!$Y$4)^J926,'Speed-Vol., non-Cordon'!$Y$6)","v":21.179395346702869},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(K907 / 'Speed-Vol., non-Cordon'!$Y$4)^K926,'Speed-Vol., non-Cordon'!$Y$6)","v":27.443459295884185},{"$f":"MIN('Speed-Vol., non-Cordon'!$Y$4*(L907 / 'Speed-Vol., non-Cordon'!$Y$4)^L926,'Speed-Vol., non-Cordon'!$Y$6)","v":34.237067554523371},null,null,{"$f":"ROW()","v":955},54.931137441548231,28.968344219313018,23.538510735983632,21.179395346702869,27.443459295884185,34.237067554523371,null,null,null,54.931137441548231,28.968344219313018,23.538510735983632,21.179395346702869,27.443459295884185,34.237067554523371,null,null,null,54.931137441548231,28.968344219313018,23.538510735983632,21.179395346702869,27.443459295884185,34.237067554523371,null,null,null,{"$f":"G955*$AV$198","v":54.381826067132749},28.678660777119887,23.303125628623796,20.967601393235839,27.169024702925345,33.894696878978138,null,"Avgs are wghtd by periods' cordon VMT.",null,54.931137441548231,28.968344219313018,23.538510735983632,21.179395346702869,27.443459295884185,34.237067554523371,null,null,null,{"$f":"Y955*$AV$198","v":54.381826067132749},{"$f":"Z955*$AV$198","v":28.678660777119887},{"$f":"AA955*$AV$198","v":23.303125628623796},{"$f":"AB955*$AV$198","v":20.967601393235839},{"$f":"AC955*$AV$198","v":27.169024702925345},{"$f":"AD955*$AV$198","v":33.894696878978138},null,"Avgs are wghtd by periods' cordon VMT."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":956}]
[null,"Cordon Trip Durations, reflecting changed traffic volumes from rebound effect",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":957}]
[null,"In-cordon part of trip entry, minutes (one-way)",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":958},{"$f":"($I$99)*60/P954","v":5.0269947966787329},8.3082095093667476,9.5788288698453687,11.648381639742793,8.8921428925291721,7.427916749064484,null,{"$f":"SUMPRODUCT(P$562:V$562,P958:V958)/W$562","v":8.2359490459633538},null,{"$f":"($J$99)*60/Y954","v":5.0269947966787329},8.3082095093667476,9.5788288698453687,11.648381639742793,8.8921428925291721,7.427916749064484,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y958:AE958)/AF$562","v":8.4559991276209612},null,{"$f":"($K$99)*60/AH954","v":4.691861810233485},7.7543288754089659,8.9402402785223458,10.871822863759942,8.2993333663605622,6.9327222991268522,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH958:AN958)/AO$562","v":7.5494796799025572},null,{"$f":"($L$99)*60/AQ954","v":5.2915734701881405},8.7454836940702609,10.082977757731967,12.261454357623993,9.3601504131886042,7.8188597358573508,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ958:AW958)/AX$562","v":8.3389331450267132},null,{"$f":"($M$99)*60/AZ954","v":10.053989593357466},16.616419018733495,19.157657739690737,23.296763279485585,17.784285785058344,14.855833498128968,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ958:BF958)/BG$562","v":16.623252050355326},null,{"$f":"($L$99)*60/BI954","v":5.2915734701881405},8.7454836940702609,10.082977757731967,12.261454357623993,9.3601504131886042,7.8188597358573508,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI958:BO958)/BP$562","v":8.314603283579844}]
[null,"In-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":959},{"$f":"60*$I$99/(1/($P$152/$P954+$Q$152/$Q954+$R$152/$R954+$S$152/$S954+$T$152/$T954+$U$152/$U954))","v":8.2163684601505693},8.2163684601505693,8.2163684601505693,8.2163684601505693,8.2163684601505693,8.2163684601505693,null,{"$f":"SUMPRODUCT(P$463:V$463,P959:V959)/W$463","v":8.2163684601505693},null,{"$f":"60*$J$99/(1/($Y$152/$Y954+$Z$152/$Z954+$AA$152/$AA954+$AB$152/$AB954+$AC$152/$AC954+$AD$152/$AD954))","v":8.2163684601505693},8.2163684601505693,8.2163684601505693,8.2163684601505693,8.2163684601505693,8.2163684601505693,null,{"$f":"SUMPRODUCT(Y$463:AE$463,Y959:AE959)/AF$463","v":8.2163684601505693},null,{"$f":"AH958","v":4.691861810233485},7.7543288754089659,8.9402402785223458,10.871822863759942,8.2993333663605622,6.9327222991268522,null,{"$f":"SUMPRODUCT(AH$463:AN$463,AH959:AN959)/AO$463","v":7.3888342391828132},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$99/(1/($AZ$152/$AZ954+$BA$152/$BA954+$BB$152/$BB954+$BC$152/$BC954+$BD$152/$BD954+$BE$152/$BE954))","v":16.432736920301139},16.432736920301139,16.432736920301139,16.432736920301139,16.432736920301139,16.432736920301139,null,{"$f":"SUMPRODUCT(AZ$463:BF$463,AZ959:BF959)/BG$463","v":16.432736920301139}]
[null,"Outside-cordon part of trip entry, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":960},{"$f":"($I$93)*60/P955","v":18.412408875774695},34.914476123590738,42.968502720055241,47.754647667154273,36.854485131794171,29.541506759434338,null,{"$f":"SUMPRODUCT(P$562:V$562,P960:V960)/W$562","v":34.3381828701621},null,{"$f":"($J$93)*60/Y955","v":18.412408875774695},34.914476123590738,42.968502720055241,47.754647667154273,36.854485131794171,29.541506759434338,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y960:AE960)/AF$562","v":35.147913570895803},null,{"$f":"($K$93)*60/AH955","v":27.618613313662042},52.371714185386118,64.452754080082869,71.63197150073141,55.281727697691259,44.312260139151512,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH960:AN960)/AO$562","v":50.147349374159525},null,{"$f":"($L$93)*60/AQ955","v":6.6198586188626818},12.552887416807534,15.448571394980734,17.169345851649783,13.250383623864057,10.621130535121438,null,{"$f":"SUMPRODUCT(AQ$562:AW$562,AQ960:AW960)/AX$562","v":11.719292741666587},null,{"$f":"($M$93)*60/AZ955","v":17.21176638033355},32.637761326364924,40.166598271851633,44.640646683858584,34.45126558049175,27.615154339496218,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ960:BF960)/BG$562","v":32.233209659919964},null,{"$f":"($L$93)*60/BI955","v":6.6198586188626818},12.552887416807534,15.448571394980734,17.169345851649783,13.250383623864057,10.621130535121438,null,{"$f":"SUMPRODUCT(BI$562:BO$562,BI960:BO960)/BP$562","v":11.67340405659721}]
[null,"Outside-cordon part of trip exit, minutes (one-way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":961},{"$f":"60*$I$93/(1/($P$152/$P955+$Q$152/$Q955+$R$152/$R955+$S$152/$S955+$T$152/$T955+$U$152/$U955))","v":34.049136559430792},34.049136559430792,34.049136559430792,34.049136559430792,34.049136559430792,34.049136559430792,null,{"$f":"SUMPRODUCT(P$562:V$562,P961:V961)/W$562","v":34.049136559430792},null,{"$f":"60*$J$93/(1/($Y$152/$Y955+$Z$152/$Z955+$AA$152/$AA955+$AB$152/$AB955+$AC$152/$AC955+$AD$152/$AD955))","v":34.049136559430799},34.049136559430799,34.049136559430799,34.049136559430799,34.049136559430799,34.049136559430799,null,{"$f":"SUMPRODUCT(Y$562:AE$562,Y961:AE961)/AF$562","v":34.049136559430799},null,{"$f":"AH960","v":27.618613313662042},52.371714185386118,64.452754080082869,71.63197150073141,55.281727697691259,44.312260139151512,null,{"$f":"SUMPRODUCT(AH$562:AN$562,AH961:AN961)/AO$562","v":50.147349374159525},null,null,null,null,null,null,null,null,null,null,{"$f":"60*$M$93/(1/($AZ$152/$AZ955+$BA$152/$BA955+$BB$152/$BB955+$BC$152/$BC955+$BD$152/$BD955+$BE$152/$BE955))","v":31.828849112951243},31.828849112951243,31.828849112951243,31.828849112951243,31.828849112951243,31.828849112951243,null,{"$f":"SUMPRODUCT(AZ$562:BF$562,AZ961:BF961)/BG$562","v":31.828849112951232}]
[null,"Total, minutes (round-trip)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":962},{"$f":"SUM(P958:P961)","v":65.704908692034792},85.488190652538847,94.812836609481963,101.66853432647844,88.012133043904697,79.234928528080189,null,{"$f":"SUM(W958:W961)","v":84.839636935706807},null,{"$f":"SUM(Y958:Y961)","v":65.704908692034792},85.488190652538862,94.812836609481977,101.66853432647844,88.012133043904711,79.234928528080189,null,{"$f":"SUM(AF958:AF961)","v":85.869417718098134},null,{"$f":"SUM(AH958:AH961)","v":64.620950247791058},120.25208612159017,146.78598871721044,165.00758872898268,127.16212212810365,102.48996487655673,null,{"$f":"SUM(AO958:AO961)","v":115.23301266740441},null,{"$f":"AQ958+AQ960","v":11.911432089050823},21.298371110877795,25.531549152712699,29.430800209273777,22.610534037052659,18.43999027097879,null,{"$f":"AX958+AX960","v":20.0582258866933},null,{"$f":"SUM(AZ958:AZ961)","v":75.5273420069434},97.515766378350804,107.58584204479476,116.19899599659655,100.49713739880248,90.732573870877573,null,{"$f":"SUM(BG958:BG961)","v":97.118047743527669},null,{"$f":"BI958+BI960","v":11.911432089050823},21.298371110877795,25.531549152712699,29.430800209273777,22.610534037052659,18.43999027097879,null,{"$f":"BP958+BP960","v":19.988007340177056}]
[null,"Ratio, new duration to prior duration",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":963},{"$f":"P962/P914","v":0.99977750483656613},0.99993173274739244,0.99952270596995485,0.99960048543422186,0.99958224610752333,0.99974466734433964,null,{"$f":"W962/W914","v":0.99964008821255979},null,{"$f":"Y962/Y914","v":0.99977750483656591},0.99993173274739267,0.99952270596995496,0.99960048543422186,0.99958224610752333,0.99974466734433942,null,{"$f":"AF962/AF914","v":0.99965648665899942},null,{"$f":"AH962/AH914","v":0.99999468738344577},1.0002166911372947,0.99939425812512539,0.99954764295026699,0.99949606284871684,0.99984192490656354,null,{"$f":"AO962/AO914","v":0.99968012656696137},null,{"$f":"AQ962/AQ914","v":0.99998196066775191},1.0001371583188072,0.99948034829296095,0.99959814110890954,0.99956498968057261,0.99984633814505575,null,{"$f":"AX962/AX914","v":0.99970786339005091},null,{"$f":"AZ962/AZ914","v":0.99979016981074065},0.99992131360978376,0.99955739842992763,0.99962451225604421,0.99961094106818837,0.99975734154017903,null,{"$f":"BG962/BG914","v":0.99968359893651704},null,{"$f":"BI962/BI914","v":0.99998196066775191},1.0001371583188072,0.99948034829296095,0.99959814110890954,0.99956498968057261,0.99984633814505575,null,{"$f":"BP962/BP914","v":0.99970974065959139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":964}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":965}]
[null,"G. Results ",null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":966},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":967},"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight"]
[null,"Total Cordon VMT",null,null,null,null,{"$f":"G949","v":930194.54632834508},271040.07946038898,723713.75752907293,470392.38756677951,279971.02994502825,255631.39031822211,null,{"$f":"W968+AF968+AO968+AX968+BG968+BP968","v":2930943.1911478369},{"$f":"ROW()","v":968},{"$f":"P949","v":79483.161091577946},17008.271747672683,82034.737606997092,37581.367973267639,30674.835487954348,13934.017562849363,null,{"$f":"W949","v":260716.39147031907},null,{"$f":"Y949","v":186585.22665780166},80601.886924655511,193886.44606786713,143148.10567125079,69065.053478301183,67896.907571798496,null,{"$f":"AF949","v":741183.62637167471},null,{"$f":"AH949","v":80069.639211598202},31473.370731758027,59573.182782458149,38770.141865424375,21021.267707437939,20648.980052962615,null,{"$f":"AO949","v":251556.58235163931},null,{"$f":"AQ949","v":198795.75906375295},47274.541295953422,131900.30422597533,83613.508668183378,53695.039721794921,50507.079857183177,null,{"$f":"AX949","v":565786.23283284309},null,{"$f":"AZ949","v":31071.726104994097},13062.255886382443,29321.620390717035,20079.903359832242,11052.527539913272,10662.142705634269,null,{"$f":"BG949","v":115250.17598747335},null,{"$f":"BI949","v":354189.03419862036},81619.752873966907,226997.46645505819,147199.36002882131,94462.306009626554,91982.262567794198,null,{"$f":"BP949","v":996450.18213388755}]
[null,"Factor multiple from baseline",null,null,null,null,{"$f":"G968/G164","v":0.97470983815094103},1.0167592666708103,0.93281269070907835,0.95054653621542251,0.9318543018474017,0.94024236128856198,null,{"$f":"N968/N164","v":0.95659567608342588},{"$f":"ROW()","v":969},{"$f":"P968/P164","v":0.97265208271323078},0.62228647444904728,1.0804368807277678,0.95561628253778486,1.1055781265682638,0.64657841569693353,null,{"$f":"W968/W164","v":0.95291078753771585},null,{"$f":"Y968/Y164","v":0.93357403824567164},1.1451734339665252,0.83421513253153412,0.9020518380439142,0.81256821283791869,0.9162075000337403,null,{"$f":"AF968/AF164","v":0.90337884534784141},null,{"$f":"AH968/AH164","v":0.92709490860191079},1.0934937806566762,0.7951183242202633,0.86423406358757338,0.76948130387645752,0.88438845636675834,null,{"$f":"AO968/AO164","v":0.8808003583740871},null,{"$f":"AQ968/AQ164","v":0.96217549471875186},0.96136822522692866,0.95855771195527983,0.95534470367441138,0.95588534189772267,0.95494239317056973,null,{"$f":"AX968/AX164","v":0.95900373066091893},null,{"$f":"AZ968/AZ164","v":0.99664246412678714},1.2193861770840797,0.90573184005436602,0.97970068565436019,0.93427912609518349,1.0606905368028177,null,{"$f":"BG968/BG164","v":0.98808449920673314},null,{"$f":"BI968/BI164","v":1.0160408432851669},1.0178570089694745,1.0197767524795653,1.0224435081229857,1.0225219181317053,1.022812168619742,null,{"$f":"BP968/BP164","v":1.01921852278356}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":970}]
[null,"VMT from Intra-cordon Trips (a subset of Total Cordon VMT)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":971}]
[null,"Final",null,null,null,null,{"$f":"G945","v":537416.33146726456},124260.94444515421,352827.61257543741,223734.6360511299,143533.91823097743,136815.2491764017,null,{"$f":"SUM(G972:M972)","v":1518588.6919463649},{"$f":"ROW()","v":972},{"$f":"P945","v":9319.3594203002194},3026.9626571708363,11263.76760384521,6891.0154345494593,4093.4225270704401,3319.7923715871525,null,{"$f":"SUM(P972:V972)","v":37914.320014523313},null,{"$f":"Y945","v":27946.39986563713},9077.0947852253303,33777.187814538338,20664.410945960975,12275.137979047073,9955.2169739449346,null,{"$f":"SUM(Y972:AE972)","v":113695.44836435377},null,{"$f":"AH945","v":0},0,0,0,0,0,null,{"$f":"SUM(AH972:AN972)","v":0},null,{"$f":"AQ945","v":187564.45032089052},41836.728719197949,114479.72141754637,72992.705738420758,47403.319265315178,46158.496169412465,null,{"$f":"SUM(AQ972:AW972)","v":510435.42163078324},null,{"$f":"AZ945","v":5229.6011430124663},1763.5029294552096,5712.2779704063241,3575.4367223425488,2083.5697789486671,1743.1311210346103,null,{"$f":"SUM(AZ972:BF972)","v":20107.519665199827},null,{"$f":"BI945","v":307356.52071742417},68556.655354104878,187594.65776910118,119611.06720985616,77678.468680596081,75638.612540422517,null,{"$f":"SUM(BI972:BO972)","v":836435.98227150494}]
[null,"Factor multiple from baseline",null,null,null,null,{"$f":"G972/G160","v":1.001389740423859},0.99617196005780495,1.0214249624697811,1.0167412903300526,1.0185214348767708,1.0115114250627408,null,{"$f":"N972/N160","v":1.0103256403178649},{"$f":"ROW()","v":973},{"$f":"P972/P160","v":1.0194864871284899},0.96372150122187761,1.1866339094259273,1.1466646426126441,1.1801114396076045,1.1263582148055549,null,{"$f":"W972/W160","v":1.1086058483778747},null,{"$f":"Y972/Y160","v":1.0194864871284903},0.96372150122187805,1.1866339094259275,1.1466646426126443,1.1801114396076047,1.1263582148055551,null,{"$f":"AF972/AF160","v":1.1086058483778749},null,null,null,null,null,null,null,null,null,null,{"$f":"AQ972/AQ160","v":1},1,1,1,1,1,null,{"$f":"AX972/AX160","v":1},null,{"$f":"AZ972/AZ160","v":1.0064537551522417},0.98775790987226253,1.0586983873529958,1.0466756972744828,1.0567550699356705,1.0404602914445287,null,{"$f":"BG972/BG160","v":1.0343374313374396},null,{"$f":"BI972/BI160","v":1},1,1,1,1,1,null,{"$f":"BP972/BP160","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":974}]
[null,"Optional: Exogenous change to VMT from Intra-cordon Trips (a means of testing possible changes in CBD streets-use policies, e.g., eliminating horse-drawn carriages)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":975}]
[null,"Exogenous change to Cordon VMT",null,null,null,null,0,null,null,null,null,0,null,{"$f":"SUM(G976:M976)","v":0},{"$f":"ROW()","v":976}]
[null,{"$f":"CONCATENATE(\"This row reserved to annotate any change entered in Row \",O976, \".\")","v":"This row reserved to annotate any change entered in Row 976."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":977}]
[null,"Total Cordon VMT with exogenous change (if any)",null,null,null,null,{"$f":"G968+G976","v":930194.54632834508},271040.07946038898,723713.75752907293,470392.38756677951,279971.02994502825,255631.39031822211,null,{"$f":"SUM(G978:M978)","v":2930943.1911478369},{"$f":"ROW()","v":978}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O968, \" and \",O976, \".\")","v":"Sum of Rows 968 and 976."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":979}]
[null,"Cordon VMT per hour with exogenous change (if any)",null,null,null,null,{"$f":"G978/G$135","v":93019.454632834502},135520.03973019449,144742.75150581458,156797.46252225983,139985.51497251412,127815.69515911106,null,null,{"$f":"ROW()","v":980}]
[null,{"$f":"CONCATENATE(\"Quotient of period VMT in Row \",O978, \" and hours in period in Row \",O135, \".\")","v":"Quotient of period VMT in Row 978 and hours in period in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":981}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":982}]
[null,"Change in Vehicle Entries from Baseline",null,null,null,null,{"$f":"G933-G139","v":-276.6050118446874},7341.5175771168069,-22344.454457091866,-8365.3565400115185,-9217.5829786133691,-6833.9842577650561,null,{"$f":"N933-N139","v":-39696.465668209712},{"$f":"ROW()","v":983},{"$f":"P933-P139","v":24.119084029920487},-6300.6216705379102,4353.2456988645026,-817.50459376812069,2048.6308281031379,-4840.5121947595762,null,{"$f":"W933-W139","v":-5532.6428480680479},null,{"$f":"Y933-Y139","v":-312.88324251034646},9795.0811113961317,-21261.553210319616,-7038.1761415440633,-9079.2956306794404,-2240.4468839023211,null,{"$f":"AF933-AF139","v":-30137.273997559649},null,{"$f":"AH933-AH139","v":-909.44277598428744},3033.7261163502862,-7750.2147679105219,-2298.4340475476256,-3372.4978745782737,-861.50009617271735,null,{"$f":"AO933-AO139","v":-12158.363445843119},null,{"$f":"AQ933-AQ139","v":362.91043747603635},22.981814877756733,1471.0562519421237,777.53624868482257,556.90594102086288,302.76629601368813,null,{"$f":"AX933-AX139","v":3494.1569900152899},null,{"$f":"AZ933-AZ139","v":55.121190521874723},822.0012998453185,-1032.1775267939361,-133.96306872775085,-264.71300515007738,210.84049735015742,null,{"$f":"BG933-BG139","v":-342.89061295441206},null,{"$f":"BI933-BI139","v":503.57029462213904},-31.651094814762928,1875.1890971256653,1145.1850628913908,893.38676267042047,594.86812370572716,null,{"$f":"BP933-BP139","v":4980.5482462005821}]
[null,{"$f":"CONCATENATE(\"Equilibrium entries in Row \",O933, \" less baseline entries in Row \",O139, \".\")","v":"Equilibrium entries in Row 933 less baseline entries in Row 139."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":984}]
[null,"Change in Vehicle Entries from Baseline, as %",null,null,null,null,{"$f":"G983/G139","v":-2.1696228960298193E-3},0.15559150591932422,-0.1503359204211038,-8.8159775368489998E-2,-0.15993710688766061,-0.14995285243804315,null,{"$f":"N983/N139","v":-7.6134379877655756E-2},{"$f":"ROW()","v":985},{"$f":"P983/P139","v":9.7119085981030545E-4},-0.71342903596483709,0.18769933411668269,-9.3496751825343324E-2,0.23290128813180275,-0.89613626951216063,null,{"$f":"W983/W139","v":-6.9331364010877819E-2},null,{"$f":"Y983/Y139","v":-7.0555597558520982E-3},0.52198617529740976,-0.29244485560968758,-0.13181668753906456,-0.32927578233929705,-9.9489736722433511E-2,null,{"$f":"AF983/AF139","v":-0.12593929794216319},null,{"$f":"AH983/AH139","v":-2.879014839931307E-2},0.27006512098013585,-0.29190768613226936,-0.15499738864591678,-0.33492079391472973,-0.11145775578430873,null,{"$f":"AO983/AO139","v":-0.11919964162591291},null,{"$f":"AQ983/AQ139","v":5.0017172541906463E-2},8.2217732801841328E-3,0.16699804340704508,0.14047879307194622,0.16669500566380258,0.11806272464544475,null,{"$f":"AX983/AX139","v":0.11531871254175874},null,{"$f":"AZ983/AZ139","v":1.4209077453688183E-2},0.55002356032577804,-0.21916142513207193,-4.5269200430513468E-2,-0.14819843913958869,0.15377541926394322,null,{"$f":"BG983/BG139","v":-2.1166087219408151E-2},null,{"$f":"BI983/BI139","v":3.2309067568908653E-2},-7.7861562183532728E-3,0.14804869178244126,0.12146327525025202,0.14727113861520852,9.9337173472690193E-2,null,{"$f":"BP983/BP139","v":9.2575246211906742E-2}]
[null,"Above, 6 a.m. - 6 p.m. only",null,null,null,null,null,null,null,null,null,null,null,{"$f":"(SUM(I983:K983)+2/3*L983)/(SUM(I139:K139)+2/3*L139)","v":-0.1341743732371683},{"$f":"ROW()","v":986}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":987}]
[null,"Total Non-Cordon VMT ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":988}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":989},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,{"$f":"CONCATENATE(\"Change in # of cordon entries, factor multiple from baseline (shown in column blocks to right; calc'd as 'Final' entries in Row \",O933, \" divided by baseline entries in Row \",O425, \").\")","v":"Change in # of cordon entries, factor multiple from baseline (shown in column blocks to right; calc'd as 'Final' entries in Row 933 divided by baseline entries in Row 425)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":990},{"$f":"P933/P425","v":1.0009711908598102},0.28657096403516297,1.1876993341166826,0.90650324817465666,1.2329012881318027,0.10386373048783948,null,null,null,{"$f":"Y933/Y425","v":0.99294444024414785},1.5219861752974098,0.70755514439031242,0.86818331246093539,0.670724217660703,0.90051026327756645,null,null,null,{"$f":"AH933/AH425","v":0.97120985160068696},1.2700651209801359,0.70809231386773064,0.84500261135408317,0.66507920608527027,0.88854224421569128,null,null,null,{"$f":"AQ933/AQ425","v":1.0500171725419065},1.0082217732801841,1.166998043407045,1.1404787930719462,1.1666950056638026,1.1180627246454446,null,null,null,{"$f":"AZ933/AZ425","v":1.0142090774536883},1.5500235603257779,0.78083857486792807,0.95473079956948659,0.85180156086041126,1.1537754192639433,null,null,null,{"$f":"BI933/BI425","v":1.0323090675689086},0.99221384378164668,1.1480486917824413,1.121463275250252,1.1472711386152086,1.0993371734726902]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"P991+Y991+AH991+AQ991+AZ991+BI991","v":2141278.6917903735},962456.6491649719,2013719.2642632222,1377692.4739616693,753021.78220769134,606584.63213620218,null,{"$f":"SUM(G991:M991)","v":7854753.4935241304},{"$f":"ROW()","v":991},{"$f":"P990*P173","v":419040.2636234918},42662.15198026524,464338.73371818574,133610.62486354937,182809.20987640708,9457.1250743883011,null,{"$f":"SUM(P991:V991)","v":1251918.1091362876},null,{"$f":"Y990*Y173","v":742256.02200702415},481435.03919420613,867140.05271475553,781410.28574267065,311755.63111544831,341840.08637386747,null,{"$f":"SUM(Y991:AE991)","v":3525837.1171479719},null,{"$f":"AH990*AH173","v":775735.67457026697},360747.28585839859,475365.10503148445,316836.29578680662,169337.1138273933,173657.01335959273,null,{"$f":"SUM(AH991:AN991)","v":2271678.4884339427},null,{"$f":"AQ990*AQ173","v":45711.763229950389},16909.32018650596,61679.277172384056,37874.625048163631,23386.641156746915,17203.315146340778,null,{"$f":"SUM(AQ991:AW991)","v":202764.94194009175},null,{"$f":"AZ990*AZ173","v":61997.329780984597},36502.473557070669,57948.784060969992,44520.084602783129,23975.234548684701,24927.640838144656,null,{"$f":"SUM(AZ991:BF991)","v":249871.54738863779},null,{"$f":"BI990*BI173","v":96537.638578656188},24200.378388525456,87247.311565443073,63440.557917699327,41757.951683010986,39499.451343868393,null,{"$f":"SUM(BI991:BO991)","v":352683.28947720339}]
[null,{"$f":"CONCATENATE(\"Respective figures in column-blocks at right are products of factor multiple in Row \",O990, \" and VMT in Row \",O173, \".\")","v":"Respective figures in column-blocks at right are products of factor multiple in Row 990 and VMT in Row 173."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":992}]
[null,{"$f":"CONCATENATE(\"Change in # of cordon exits, factor multiple from baseline (shown in column blocks to right, and calculated as Final' exits in Row \",O939, \" divided by baseline exits in Row \",O150, \").\")","v":"Change in # of cordon exits, factor multiple from baseline (shown in column blocks to right, and calculated as Final' exits in Row 939 divided by baseline exits in Row 150)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":993},{"$f":"P939/P150","v":0.93066863598912175},0.93066863598912164,0.93066863598912175,0.93066863598912153,0.93066863598912164,0.93066863598912164,null,null,null,{"$f":"Y939/Y150","v":0.87406070205783692},0.87406070205783681,0.87406070205783681,0.8740607020578367,0.8740607020578367,0.87406070205783692,null,null,null,{"$f":"AH939/AH150","v":0.8808003583740871},0.88080035837408721,0.88080035837408732,0.88080035837408721,0.8808003583740871,0.88080035837408721,null,null,null,{"$f":"AQ939/AQ150","v":1.0500171725419065},1.0082217732801841,1.166998043407045,1.1404787930719462,1.1666950056638026,1.1180627246454446,null,null,null,{"$f":"AZ939/AZ150","v":0.97883391278059184},0.97883391278059195,0.97883391278059162,0.97883391278059195,0.97883391278059184,0.97883391278059206,null,null,null,{"$f":"BI939/BI150","v":1.0133885419839741},0.82000174382000146,1.0223301912846325,1.1644994261529418,1.3971934604809568,1.3948665403548695]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,{"$f":"P994+Y994+AH994+AQ994+AZ994+BI994","v":2296363.3962687477},708462.33578957105,2078711.3271781264,1333215.9206456537,740963.97607447812,697036.53756755299,null,{"$f":"SUM(G994:M994)","v":7854753.4935241295},{"$f":"ROW()","v":994},{"$f":"P993*P174","v":369456.30056170194},114458.95488793339,330981.15149809764,211285.70278680703,115911.10304279247,109824.89635895479,null,{"$f":"SUM(P994:V994)","v":1251918.1091362871},null,{"$f":"Y993*Y174","v":1040517.5292043138},322356.25364686525,932158.1184199705,595054.07563948003,326446.00826151209,309305.131975831,null,{"$f":"SUM(Y994:AE994)","v":3525837.1171479723},null,{"$f":"AH993*AH174","v":670400.02399313205},207692.45506556021,600584.62007076247,383390.24128788756,210327.46266017703,199283.68535642381,null,{"$f":"SUM(AH994:AN994)","v":2271678.4884339431},null,{"$f":"AQ993*AQ174","v":45711.763229950389},16909.32018650596,61679.277172384056,37874.625048163631,23386.641156746915,17203.315146340778,null,{"$f":"SUM(AQ994:AW994)","v":202764.94194009175},null,{"$f":"AZ993*AZ174","v":73740.140700995529},22844.973614181286,66060.848451469705,42170.717965617325,23134.809270239111,21920.057386134824,null,{"$f":"SUM(AZ994:BF994)","v":249871.54738863779},null,{"$f":"BI993*BI174","v":96537.638578656188},24200.37838852546,87247.311565443088,63440.557917699334,41757.951683010986,39499.451343868393,null,{"$f":"SUM(BI994:BO994)","v":352683.28947720345}]
[null,{"$f":"CONCATENATE(\"Respective figures in column-blocks at right are products of factor multiple in Row \",O993, \" and VMT in Row \",O174, \".\")","v":"Respective figures in column-blocks at right are products of factor multiple in Row 993 and VMT in Row 174."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":995}]
[null,"VMT in period for cordon trips (sum of figures in two previous rows)",null,null,null,null,{"$f":"G991+G994","v":4437642.0880591217},1670918.9849545429,4092430.5914413487,2710908.3946073232,1493985.7582821695,1303621.1697037551,null,{"$f":"SUM(G996:M996)","v":15709506.987048261},{"$f":"ROW()","v":996},{"$f":"P991+P994","v":788496.56418519374},157121.10686819864,795319.88521628338,344896.3276503564,298720.31291919958,119282.02143334309,null,{"$f":"SUM(P996:V996)","v":2503836.2182725747},null,{"$f":"Y991+Y994","v":1782773.551211338},803791.29284107138,1799298.1711347261,1376464.3613821506,638201.63937696046,651145.21834969847,null,{"$f":"SUM(Y996:AE996)","v":7051674.2342959456},null,{"$f":"AH991+AH994","v":1446135.698563399},568439.74092395883,1075949.725102247,700226.53707469418,379664.5764875703,372940.69871601654,null,{"$f":"SUM(AH996:AN996)","v":4543356.9768678853},null,{"$f":"AQ991+AQ994","v":91423.526459900779},33818.64037301192,123358.55434476811,75749.250096327261,46773.28231349383,34406.630292681555,null,{"$f":"SUM(AQ996:AW996)","v":405529.88388018351},null,{"$f":"AZ991+AZ994","v":135737.47048198013},59347.447171251959,124009.6325124397,86690.802568400453,47110.043818923812,46847.698224279477,null,{"$f":"SUM(AZ996:BF996)","v":499743.09477727558},null,{"$f":"BI991+BI994","v":193075.27715731238},48400.756777050919,174494.62313088618,126881.11583539867,83515.903366021972,78998.902687736787,null,{"$f":"SUM(BI996:BO996)","v":705366.5789544069}]
[null,"B. Total non-cordon VMT (on roads used by trips that enter cordon)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":997}]
[null,"Total VMT factor change - total all non-cordon trips",null,null,null,null,"These figures are shown at right for the different trip types and time periods.",null,null,null,null,null,null,null,{"$f":"ROW()","v":998},{"$f":"P$505*P$537*P$589*P$638*P$686*P$734*P$782*P$830*P$878*P$926","v":0.98012964428098914},1.0141545338670979,0.97260325960164162,0.98181783797223587,0.9677993762055479,0.97488711488001623,null,null,null,{"$f":"Y$505*Y$537*Y$589*Y$638*Y$686*Y$734*Y$782*Y$830*Y$878*Y$926","v":0.98013907954257273},1.0145290543571652,0.971970498748425,0.98141345092190102,0.9671189488587878,0.97455697252543905,null,null,null,{"$f":"AH$505*AH$537*AH$589*AH$638*AH$686*AH$734*AH$782*AH$830*AH$878*AH$926","v":0.98013907954257273},1.0145290543571652,0.971970498748425,0.98141345092190102,0.9671189488587878,0.97455697252543905,null,null,null,{"$f":"AQ$505*AQ$537*AQ$589*AQ$638*AQ$686*AQ$734*AQ$782*AQ$830*AQ$878*AQ$926","v":0.97944918551030058},1.0231623900120377,0.95256686083278097,0.96751546072766204,0.94651745315413949,0.96066267782306847,null,null,null,{"$f":"AZ$505*AZ$537*AZ$589*AZ$638*AZ$686*AZ$734*AZ$782*AZ$830*AZ$878*AZ$926","v":0.97899895023951966},1.0293387112541859,0.93923533202186649,0.95796492170996261,0.93237152987461613,0.95118781488884174,null,null,null,{"$f":"BI$505*BI$537*BI$589*BI$638*BI$686*BI$734*BI$782*BI$830*BI$878*BI$926","v":0.97356068182650901},1.0170110800800538,0.94683997519945495,0.96169870326958928,0.94082693690059094,0.95488711968189222]
[null,{"$f":"CONCATENATE(\"Product of nine preceding rebound effects for non-cordon travel and the 'initial' ratio of post-pricing cordon travel to pre-pricing cordon travel in Row \",O505, \".\")","v":"Product of nine preceding rebound effects for non-cordon travel and the 'initial' ratio of post-pricing cordon travel to pre-pricing cordon travel in Row 505."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":999}]
[null,"Total non-cordon VMT",null,null,null,null,{"$f":"P1000+Y1000+AH1000+AQ1000+AZ1000+BI1000","v":13086747.162840839},4633364.0535299201,13189532.986864589,8400390.0909593869,4803376.925212522,4122096.5386053654,null,{"$f":"SUM(G1000:M1000)","v":48235507.758012623},{"$f":"ROW()","v":1000},{"$f":"P998*P184","v":2344457.5796380811},808572.79176074383,2129585.847904779,1078104.9739740437,774352.78389103175,597721.93156102335,null,{"$f":"SUM(P1000:V1000)","v":7732795.9087297022},null,{"$f":"Y998*Y184","v":5570698.4422152247},2038486.6743760007,6533482.3740730388,4550047.1295127831,2377645.2434795201,2096376.6054912054,null,{"$f":"SUM(Y1000:AE1000)","v":23166736.469147772},null,{"$f":"AH998*AH184","v":4483810.0870033987},1546704.174665608,3857340.2878082423,2332028.4522944875,1399447.3108760193,1205254.0544525466,null,{"$f":"SUM(AH1000:AN1000)","v":14824584.367100302},null,{"$f":"AQ998*AQ184","v":93807.197592724158},37751.770504099062,110761.10940049587,70687.353554595727,41740.90110930302,32519.179246002677,null,{"$f":"SUM(AQ1000:AW1000)","v":387267.5114072205},null,{"$f":"AZ998*AZ184","v":391807.87023074005},141546.83477377379,390326.18760735606,252047.70625129135,141592.06000226454,122740.25225854247,null,{"$f":"SUM(AZ1000:BF1000)","v":1440060.9111239682},null,{"$f":"BI998*BI184","v":202165.98616067204},60301.807449694497,168037.18007067536,117474.47537221103,68598.625854383485,67484.515596045079,null,{"$f":"SUM(BI1000:BO1000)","v":684062.59050368145}]
[null,{"$f":"CONCATENATE(\"Each entry is product of foregoing factor, in Row \",O998, \", and the pre-pricing volume of non-cordon VMT in Row \",O184, \".\")","v":"Each entry is product of foregoing factor, in Row 998, and the pre-pricing volume of non-cordon VMT in Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1001}]
[null,"C. Non-cordon VMT for trips that do not enter the cordon (difference between Total in \"B\" and cordon-trips' VMT in \"A\")",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1002}]
[null,"VMT for non-cordon trips (on roads used by cordon-bound trips)",null,null,null,null,{"$f":"P1003+Y1003+AH1003+AQ1003+AZ1003+BI1003","v":8649105.0747817177},2962445.0685753766,9097102.395423241,5689481.6963520655,3309391.1669303533,2818475.3689016104,null,{"$f":"SUM(G1003:M1003)","v":32526000.770964362},{"$f":"ROW()","v":1003},{"$f":"P1000-P996","v":1555961.0154528874},651451.68489254522,1334265.9626884956,733208.6463236874,475632.47097183217,478439.91012768028,null,{"$f":"SUM(P1003:V1003)","v":5228959.690457128},null,{"$f":"Y1000-Y996","v":3787924.8910038867},1234695.3815349294,4734184.2029383127,3173582.7681306326,1739443.6041025596,1445231.3871415069,null,{"$f":"SUM(Y1003:AE1003)","v":16115062.234851828},null,{"$f":"AH1000-AH996","v":3037674.3884399999},978264.43374164915,2781390.5627059955,1631801.9152197933,1019782.734388449,832313.35573653015,null,{"$f":"SUM(AH1003:AN1003)","v":10281227.390232416},null,{"$f":"AQ1000-AQ996","v":2383.6711328233796},3933.1301310871422,-12597.44494427224,-5061.8965417315339,-5032.3812041908095,-1887.4510466788779,null,{"$f":"SUM(AQ1003:AW1003)","v":-18262.372472962939},null,{"$f":"AZ1000-AZ996","v":256070.39974875993},82199.387602521834,266316.55509491637,165356.9036828909,94482.016183340718,75892.554034262997,null,{"$f":"SUM(AZ1003:BF1003)","v":940317.81634669274},null,{"$f":"BI1000-BI996","v":9090.7090033596614},11901.050672643578,-6457.4430602108187,-9406.6404631876358,-14917.277511638487,-11514.387091691708,null,{"$f":"SUM(BI1003:BO1003)","v":-21303.98845072541}]
[null,{"$f":"CONCATENATE(\"Row \",O1000, \" figure, less Row \",O996, \" figure.\")","v":"Row 1000 figure, less Row 996 figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1004}]
[null,"VMT factor multiple, after pricing",null,null,null,null,{"$f":"G1000/G184","v":0.97999597626229584},1.0150117929940523,0.97057715231438502,0.98034573458439878,0.96559961120553517,0.97345328608111215,null,null,{"$f":"ROW()","v":1005}]
[null,{"$f":"CONCATENATE(\"Row \",O1000, \" figure divided by Row \",O184, \" figure.\")","v":"Row 1000 figure divided by Row 184 figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1006}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1007}]
[null,null,null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":1008}]
[null,null,null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":1009}]
[null,"Speeds",{"$f":"CONCATENATE(\"(with exogenous addition of cordon VMT, if any, entered in block of Row \",O975,\" to Row \",O981,\")\")","v":"(with exogenous addition of cordon VMT, if any, entered in block of Row 975 to Row 981)"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1010}]
[null,"Cordon",null,null,null,null,{"$f":"KSC/(1+0.1*(G980*$G$481/V_sub_k)^KSE)","v":17.90334059216886},10.832658937949653,9.3957206275314604,7.7263952009377403,10.121294842845412,12.116452437533733,null,null,{"$f":"ROW()","v":1011}]
[null,{"$f":"CONCATENATE(\"Uses same speed-vol. formula as in Row \",O954, \", but operates on possibly amended hourly cordon VMT's in Row \",O980, \".\")","v":"Uses same speed-vol. formula as in Row 954, but operates on possibly amended hourly cordon VMT's in Row 980."}]
[null,"Factor multiple from baseline",null,null,{"$f":"CONCATENATE(\"Ratio of Rows \",O1011, \" and \",O201, \".\")","v":"Ratio of Rows 1011 and 201."},null,{"$f":"G1011/G201","v":1.0200913208472713},0.96735086112215152,1.1837674463748724,1.145925839067728,1.176127018054107,1.1255665808377253,null,null,{"$f":"ROW()","v":1013}]
[null,"% Gain from baseline",null,null,{"$f":"CONCATENATE(\"Row \",O1013,\" less one.\")","v":"Row 1013 less one."},null,{"$f":"G1013-1","v":2.0091320847271277E-2},-3.2649138877848483E-2,0.18376744637487241,0.14592583906772805,0.17612701805410702,0.12556658083772532,null,null,{"$f":"ROW()","v":1014}]
[null,"Non-cordon",null,null,null,null,{"$f":"G955","v":54.931137441548231},28.968344219313018,23.538510735983632,21.179395346702869,27.443459295884185,34.237067554523371,null,null,{"$f":"ROW()","v":1015}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O955, \".\")","v":"Copied from Row 955."}]
[null,"Factor multiple from baseline",null,null,{"$f":"CONCATENATE(\"Ratio of Rows \",O1015, \" and \",O217, \".\")","v":"Ratio of Rows 1015 and 217."},null,{"$f":"G1015/G217","v":1.0017246850894876},0.97767642059972415,1.054331368108838,1.0379572936872605,1.0581160179272169,1.0378701353806412,null,null,{"$f":"ROW()","v":1017}]
[null,"% Gain from baseline",null,null,{"$f":"CONCATENATE(\"Row \",O1017,\" less one.\")","v":"Row 1017 less one."},null,{"$f":"G1017-1","v":1.7246850894876431E-3},-2.232357940027585E-2,5.4331368108837985E-2,3.7957293687260529E-2,5.8116017927216879E-2,3.7870135380641212E-2,null,null,{"$f":"ROW()","v":1018}]
[null,"Reciprocal of Cordon Speed (necessary to calculate avg, below)",null,null,null,null,{"$f":"1/G1011","v":5.585549774087481E-2},9.2313438992963862E-2,0.10643143188717076,0.12942646266380881,9.8801587694768586E-2,8.2532408322938705E-2,null,null,{"$f":"ROW()","v":1019}]
[null,"Reciprocal of Non-Cordon Speed (necessary to calculate avg)",null,null,null,null,{"$f":"1/G1015","v":1.8204611201872375E-2},3.4520440396220715E-2,4.2483571336197019E-2,4.7215701092036905E-2,3.6438554965626153E-2,2.9208108971583956E-2,null,null,{"$f":"ROW()","v":1020}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1021}]
[null,"Analysis and Interpretations ",null,null,null,null,{"$f":"KSC/(1+0.1*(G980*$G$481/V_sub_k)^KSE)","v":17.90334059216886},null,null,null,null,null,null,null,{"$f":"ROW()","v":1022}]
[null,null,null,null,null,null,null,null,null,"Diagnostic tool to chart \"convergence\" in cordon entries through our series of traffic iterations",null,null,null,null,{"$f":"ROW()","v":1023}]
[null,"Speed Comparisons",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1024}]
[null,null,null,null,null,null,null,"24h",null,null,"Cordon Entries","Delta, from",null,null,{"$f":"ROW()","v":1025}]
[null,"Cordon",null,null,null,null,null,null,null,"Section ",null,"previous #","first change",null,{"$f":"ROW()","v":1026}]
[null,"Baseline mph",null,null,null,null,null,{"$f":"K205","v":9.8998557109707424},null,"B",{"$f":"N139","v":521400},null,null,null,{"$f":"ROW()","v":1027}]
[null,"Equilibrium mph",null,null,null,null,null,{"$f":"$N$968/SUMPRODUCT(G1019:M1019,G968:M968)","v":11.117061699247159},null,"C",{"$f":"N448","v":460838.43439014885},{"$f":"K1028-K1027","v":-60561.565609851154},{"$f":"K1028-$K$1028","v":0},null,{"$f":"ROW()","v":1028}]
[null,"Factor (ratio)",null,null,null,null,null,{"$f":"H1028/H1027","v":1.1229518918066193},null,"D",{"$f":"N544","v":500070.92625128827},39232.491861139424,39232.491861139424,null,{"$f":"ROW()","v":1029}]
[null,"% Gain from baseline",null,null,null,null,null,{"$f":"ROUND(H1029-1,2)","v":0.12},null,"E",{"$f":"N596","v":475842.03885961935},-24228.887391668919,15003.604469470505,null,{"$f":"ROW()","v":1030}]
[null,"Non-Cordon",null,null,null,null,null,null,null,"F",{"$f":"N645","v":488895.26308896189},13053.224229342537,28056.828698813042,null,{"$f":"ROW()","v":1031}]
[null,"Baseline mph",null,null,null,null,null,{"$f":"K221","v":29.11671218466898},null,"G",{"$f":"N693","v":481092.48044887406},-7802.7826400878257,20254.046058725216,null,{"$f":"ROW()","v":1032}]
[null,"Equilibrium mph",null,null,null,null,null,{"$f":"$N$968/SUMPRODUCT(G1020:M1020,G968:M968)","v":30.242611964706345},null,"H",{"$f":"N741","v":481983.02284799737},890.54239912331104,21144.588457848527,null,{"$f":"ROW()","v":1033}]
[null,"Factor (ratio)",null,null,null,null,null,{"$f":"H1033/H1032","v":1.0386685066945915},null,"I",{"$f":"N789","v":481732.06762690784},-250.95522108953446,20893.633236758993,null,{"$f":"ROW()","v":1034}]
[null,"% Gain from baseline",null,null,null,null,null,{"$f":"ROUND(H1034-1,2)","v":0.04},null,"J",{"$f":"N837","v":481731.01500349847},-1.0526234093704261,20892.580613349623,null,{"$f":"ROW()","v":1035}]
[null,null,null,null,null,null,null,null,null,"K",{"$f":"N885","v":481787.45689229784},56.441888799367007,20949.02250214899,null,{"$f":"ROW()","v":1036}]
[null,"VMT Comparisons",null,null,null,null,null,null,null,"L",{"$f":"N933","v":481703.53433179029},-83.922560507548042,20865.099941641442,null,{"$f":"ROW()","v":1037}]
[null,null,null,null,null,null,null,"24h",null,null,null,null,null,null,{"$f":"ROW()","v":1038}]
[null,"Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1039}]
[null,"Baseline VMT",null,null,null,null,null,{"$f":"N164","v":3063931.0467594313},null,null,null,null,null,null,{"$f":"ROW()","v":1040}]
[null,"Equilibrium VMT",null,null,null,null,null,{"$f":"N968","v":2930943.1911478369},null,null,null,null,null,null,{"$f":"ROW()","v":1041}]
[null,"Factor (ratio)",null,null,null,null,null,{"$f":"H1041/H1040","v":0.95659567608342588},null,null,null,null,null,null,{"$f":"ROW()","v":1042}]
[null,"Non-Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1043}]
[null,"Baseline VMT",null,null,null,null,null,{"$f":"N175","v":17436043.261726126},null,null,null,null,null,null,{"$f":"ROW()","v":1044}]
[null,"Equilibrium VMT",null,null,null,null,null,{"$f":"N996","v":15709506.987048261},null,null,null,null,null,null,{"$f":"ROW()","v":1045}]
[null,"Factor (ratio)",null,null,null,null,null,{"$f":"H1045/H1044","v":0.90097889476634951},null,null,null,null,null,null,{"$f":"ROW()","v":1046}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1047}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1048}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1049}]
[null,null,null,null,null,null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",{"$f":"ROW()","v":1050}]
[null,"Vehicle Time Comparisons (all figures are per day)",null,null,null,null,"Midnight-10 am","10 am-Noon","Noon-5 pm","5 pm-8 pm","8 pm-10 pm","10 pm-Midnight",null,null,{"$f":"ROW()","v":1051}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1052}]
[null,"Within Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1053}]
[null,{"$f":"CONCATENATE(\"Motor v. hrs spent in cordon, before (calculated in Row \",O207, \")\")","v":"Motor v. hrs spent in cordon, before (calculated in Row 207)"},null,null,null,null,{"$f":"G207","v":54375.519363689949},23804.788628994815,97748.180081969767,73395.003450485208,34912.683454886464,25256.320285745081,null,{"$f":"N207","v":309492.49526577129},{"$f":"ROW()","v":1054}]
[null,{"$f":"CONCATENATE(\"Above, normalized to reflect VMT change (via factor in Row \",O969,\")\")","v":"Above, normalized to reflect VMT change (via factor in Row 969)"},null,null,null,null,{"$f":"G969*G1054","v":53000.35367835559},24203.739429670411,91180.742874177755,69765.366305377698,32533.534266472558,23747.062222929162,null,{"$f":"SUM(G1055:M1055)","v":294430.79877698317},{"$f":"ROW()","v":1055}]
[null,{"$f":"CONCATENATE(\"M.V. hours in cordon, after (Row \",O968, \" fig. divided by Row \",O1011, \" fig.)\")","v":"M.V. hours in cordon, after (Row 968 fig. divided by Row 1011 fig.)"},null,null,null,null,{"$f":"G968/G1011","v":51956.479381016943},25020.641839914697,77025.891490263952,60881.22278675167,27661.582267108392,21097.874285904029,null,{"$f":"SUM(G1056:M1056)","v":263643.69205095968},{"$f":"ROW()","v":1056}]
[null,{"$f":"CONCATENATE(\"Saved m.v. hours in cordon (Row \",O1054, \" less Row \",O1055,\")\")","v":"Saved m.v. hours in cordon (Row 1054 less Row 1055)"},null,null,null,null,{"$f":"G1055-G1056","v":1043.874297338647},-816.90241024428542,14154.851383913803,8884.1435186260278,4871.9519993641661,2649.1879370251336,null,{"$f":"SUM(G1057:M1057)","v":30787.106726023492},{"$f":"ROW()","v":1057}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1058}]
[null,"Outside Cordon (all VMT on cordon-bound roads, not just VMT from cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1059}]
[null,{"$f":"CONCATENATE(\"Motor v. hrs outside cordon, before (Row \",O184, \" div by Row \",O217, \")\")","v":"Motor v. hrs outside cordon, before (Row 184 div by Row 217)"},null,null,null,null,{"$f":"G184/G217","v":243521.4401658244},154062.45196310885,608691.86912813317,419938.91148645,191797.97607430685,128365.84935235349,null,{"$f":"SUM(G1060:M1060)","v":1746378.4981701768},{"$f":"ROW()","v":1060}]
[null,{"$f":"CONCATENATE(\"Above, normalized to reflect VMT change (via factor in Row \",O1005,\")\")","v":"Above, normalized to reflect VMT change (via factor in Row 1005)"},null,null,null,null,{"$f":"G1005*G1060","v":238650.03149610735},156375.20560013517,590782.42097530386,411685.32066175662,185200.05112735924,124958.1578726415,null,{"$f":"SUM(G1061:M1061)","v":1707651.1877333038},{"$f":"ROW()","v":1061}]
[null,{"$f":"CONCATENATE(\"M.V. hrs outside cordon, after (R \",O1000, \" miles div. by R \",O1015, \" speed)\")","v":"M.V. hrs outside cordon, after (R 1000 miles div. by R 1015 speed)"},null,null,null,null,{"$f":"G1000/G1015","v":238239.14399672387},159945.76764387122,560338.46553858556,396630.30759124714,175028.11410997686,120398.64489097454,null,{"$f":"SUM(G1062:M1062)","v":1650580.4437713791},{"$f":"ROW()","v":1062}]
[null,{"$f":"CONCATENATE(\"Saved m.v. hours outside cordon (Row \",O1061, \" less Row \",O1062,\")\")","v":"Saved m.v. hours outside cordon (Row 1061 less Row 1062)"},null,null,null,null,{"$f":"G1061-G1062","v":410.8874993834761},-3570.5620437360485,30443.955436718301,15055.013070509478,10171.937017382385,4559.5129816669651,null,{"$f":"SUM(G1063:M1063)","v":57070.743961924556},{"$f":"ROW()","v":1063}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1064}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1065},"AUTO TRIPS FOR WORK",null,null,null,null,null,null,null,null,"AUTO TRIPS FOR NON-WORK",null,null,null,null,null,null,null,null,"THROUGH-TRIPS (AUTOS ONLY)",null,null,null,null,null,null,null,null,"TAXICABS (MEDALLION TAXIS ONLY)",null,null,null,null,null,null,null,null,"TRUCKS & BUSES",null,null,null,null,null,null,null,null,"UBERLYFT"]
[null,"Revenue Calculations (weekends and holidays only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1066}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1067}]
[null,"Weekend entries (exclude through-CBD return legs of through-trips)",null,null,null,null,{"$f":"P1068+Y1068+AH1068+AQ1068+AZ1068+BI1068","v":127224.79513554453},54524.732787756366,126322.18743396172,86542.868665476053,48427.281735513439,38745.591134045717,null,{"$f":"SUM(G1068:M1068)","v":481787.45689229784},{"$f":"ROW()","v":1068},{"$f":"P931","v":24862.708434019874},2530.9422080034265,27555.523242164261,7928.4116137046967,10848.247988572155,561.13700172103631,null,{"$f":"SUM(P1068:V1068)","v":74286.970488185456},null,{"$f":"Y931","v":44039.90895523459},28561.247019888946,51459.19593107843,46368.635659608102,18500.175130458116,20283.026778970579,null,{"$f":"SUM(Y1068:AE1068)","v":209212.18947523876},null,{"$f":"AH931","v":30679.335868062557},14264.402891061214,18808.501097390745,12534.42412800511,6699.7904618372613,6868.9358921173953,null,{"$f":"SUM(AH1068:AN1068)","v":89855.390338474273},null,{"$f":"AQ931","v":7618.6272049917316},2818.2200310843264,10279.879528730677,6312.4375080272721,3897.7735261244861,2867.2191910567967,null,{"$f":"SUM(AQ1068:AW1068)","v":33794.15699001529},null,{"$f":"AZ931","v":3934.6082434597965},2316.524239630884,3677.8690403571254,2825.5334365144308,1521.6360146862542,1582.0303795351988,null,{"$f":"SUM(AZ1068:BF1068)","v":15858.201354183688},null,{"$f":"BI931","v":16089.606429776033},4033.396398087576,14541.218594240512,10573.426319616556,6959.658613835164,6583.2418906447319,null,{"$f":"SUM(BI1068:BO1068)","v":58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O931, \". Includes medallion taxis as well as trucks, buses.\")","v":"Copied from Row 931. Includes medallion taxis as well as trucks, buses."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1069}]
[null,"Adjustments to reflect toll treatment of yellow cabs and UberLyfts",null,null,null,null,{"$f":"P1070+Y1070+AH1070+AQ1070+AZ1070+BI1070","v":-23708.233634767756},-6851.6164291719024,-24821.098122971187,-16885.863827643829,-10857.43213995965,-9450.4610817015273,null,{"$f":"SUM(G1070:M1070)","v":-92574.705236215843},{"$f":"ROW()","v":1070},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"-IF('Policy Levers'!$K124=\"NO\",AQ1068,0)","v":-7618.6272049917316},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AR1068,0)","v":-2818.2200310843264},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AS1068,0)","v":-10279.879528730677},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AT1068,0)","v":-6312.4375080272721},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AU1068,0)","v":-3897.7735261244861},{"$f":"-IF('Policy Levers'!$K124=\"NO\",AV1068,0)","v":-2867.2191910567967},null,{"$f":"SUM(AQ1070:AW1070)","v":-33794.15699001529},null,null,null,null,null,null,null,null,null,null,{"$f":"-IF('Policy Levers'!$K156=\"NO\",BI1068,0)","v":-16089.606429776033},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BJ1068,0)","v":-4033.396398087576},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BK1068,0)","v":-14541.218594240512},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BL1068,0)","v":-10573.426319616556},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BM1068,0)","v":-6959.658613835164},{"$f":"-IF('Policy Levers'!$K156=\"NO\",BN1068,0)","v":-6583.2418906447319},null,{"$f":"SUM(BI1070:BO1070)","v":-58780.548246200575}]
[null,{"$f":"CONCATENATE(\"Uses separate 'IF' statements keyed to 'Yes' or 'No' specification of cordon toll for yellow cabs and for UberLyfts from Cells K\",'Policy Levers'!O124,\" and \",'Policy Levers'!O156, \" of 'Policy Levers', to deduct yellow-cab and/or UberLyft CBD entries; applies only to medallion taxi and UberLyft column-blocks.\")","v":"Uses separate 'IF' statements keyed to 'Yes' or 'No' specification of cordon toll for yellow cabs and for UberLyfts from Cells K124 and 156 of 'Policy Levers', to deduct yellow-cab and/or UberLyft CBD entries; applies only to medallion taxi and UberLyft column-blocks."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1071}]
[]
[null,"Weekday entries, adjusted for toll treatment of yellow cabs + UberLyfts",null,null,null,null,{"$f":"P1073+Y1073+AH1073+AQ1073+AZ1073+BI1073","v":103516.56150077676},47673.116358584462,101501.08931099053,69657.004837832224,37569.849595553787,29295.130052344193,null,{"$f":"SUM(G1073:M1073)","v":389212.75165608193},{"$f":"ROW()","v":1073},{"$f":"P1068+P1070","v":24862.708434019874},2530.9422080034265,27555.523242164261,7928.4116137046967,10848.247988572155,561.13700172103631,null,{"$f":"SUM(P1073:V1073)","v":74286.970488185456},null,{"$f":"Y1068+Y1070","v":44039.90895523459},28561.247019888946,51459.19593107843,46368.635659608102,18500.175130458116,20283.026778970579,null,{"$f":"SUM(Y1073:AE1073)","v":209212.18947523876},null,{"$f":"AH1068+AH1070","v":30679.335868062557},14264.402891061214,18808.501097390745,12534.42412800511,6699.7904618372613,6868.9358921173953,null,{"$f":"SUM(AH1073:AN1073)","v":89855.390338474273},null,{"$f":"AQ1068+AQ1070","v":0},0,0,0,0,0,null,{"$f":"SUM(AQ1073:AW1073)","v":0},null,{"$f":"AZ1068+AZ1070","v":3934.6082434597965},2316.524239630884,3677.8690403571254,2825.5334365144308,1521.6360146862542,1582.0303795351988,{"$f":"BF1068+BF1070","v":0},{"$f":"SUM(AZ1073:BF1073)","v":15858.201354183688},null,{"$f":"BI1068+BI1070","v":0},0,0,0,0,0,{"$f":"BO1068+BO1070","v":0},{"$f":"SUM(BI1073:BO1073)","v":0}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O1066, \" (toll-paying vehicles) and \",O1070, \" (toll per trip).\")","v":"Sum of Rows 1066 (toll-paying vehicles) and 1070 (toll per trip)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1074}]
[null,"Of which exempt vehicles are",null,null,null,null,{"$f":"P1075+Y1075+AH1075+AQ1075+AZ1075+BI1075","v":4140.6624600310715},1906.9246543433787,4060.0435724396216,2786.2801935132889,1502.7939838221516,1171.805202093768,null,{"$f":"SUM(G1075:M1075)","v":15568.51006624328},{"$f":"ROW()","v":1075},{"$f":"$K$371*P1073","v":994.50833736079505},101.23768832013707,1102.2209296865706,317.13646454818786,433.92991954288618,22.445480068841452,null,{"$f":"SUM(P1075:V1075)","v":2971.4788195274186},null,{"$f":"$K$371*Y1073","v":1761.5963582093837},1142.4498807955579,2058.3678372431373,1854.7454263843242,740.00700521832459,811.3210711588232,null,{"$f":"SUM(Y1075:AE1075)","v":8368.4875790095502},null,{"$f":"$K$371*AH1073","v":1227.1734347225024},570.5761156424486,752.34004389562983,501.37696512020443,267.99161847349046,274.75743568469579,null,{"$f":"SUM(AH1075:AN1075)","v":3594.2156135389719},null,{"$f":"$K$371*AQ1073","v":0},0,0,0,0,0,null,{"$f":"SUM(AQ1075:AW1075)","v":0},null,{"$f":"$K$371*AZ1073","v":157.38432973839187},92.660969585235364,147.11476161428502,113.02133746057723,60.865440587450166,63.281215181407951,null,{"$f":"SUM(AZ1075:BF1075)","v":634.32805416734755},null,{"$f":"$K$371*BI1073","v":0},0,0,0,0,0,null,{"$f":"SUM(BI1075:BO1075)","v":0}]
[null,{"$f":"CONCATENATE(\"Calculated as product of (i) assumed percentage of exempt vehicles, from Cell K\",O371, \"; and (ii) 'surviving' volume of vehicles crossing into cordon from Row \",O1073, \".\")","v":"Calculated as product of (i) assumed percentage of exempt vehicles, from Cell K371; and (ii) 'surviving' volume of vehicles crossing into cordon from Row 1073."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1076}]
[null,"Which leaves the number of toll-paying vehicles as",null,null,null,null,{"$f":"P1077+Y1077+AH1077+AQ1077+AZ1077+BI1077","v":99375.899040745702},45766.191704241086,97441.045738550922,66870.724644318921,36067.05561173163,28123.324850250432,null,{"$f":"SUM(G1077:M1077)","v":373644.2415898387},{"$f":"ROW()","v":1077},{"$f":"P1073-P1075","v":23868.200096659079},2429.7045196832896,26453.302312477692,7611.2751491565086,10414.318069029268,538.69152165219487,null,{"$f":"SUM(P1077:V1077)","v":71315.491668658025},null,{"$f":"Y1073-Y1075","v":42278.312597025208},27418.797139093389,49400.828093835291,44513.890233223778,17760.16812523979,19471.705707811758,null,{"$f":"SUM(Y1077:AE1077)","v":200843.70189622918},null,{"$f":"AH1073-AH1075","v":29452.162433340054},13693.826775418765,18056.161053495114,12033.047162884906,6431.7988433637711,6594.178456432699,null,{"$f":"SUM(AH1077:AN1077)","v":86261.174724935307},null,{"$f":"AQ1073-AQ1075","v":0},0,0,0,0,0,null,{"$f":"SUM(AQ1077:AW1077)","v":0},null,{"$f":"AZ1073-AZ1075","v":3777.2239137214046},2223.8632700456487,3530.7542787428406,2712.5120990538535,1460.770574098804,1518.7491643537908,null,{"$f":"SUM(AZ1077:BF1077)","v":15223.873300016343},null,{"$f":"BI1073-BI1075","v":0},0,0,0,0,0,null,{"$f":"SUM(BI1077:BO1077)","v":0}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O1073, \" and \",O1075, \".\")","v":"Difference between Rows 1073 and 1075."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1078}]
[null,"Of which toll-paying autos (work+non-work+thru) account for",null,null,null,null,{"$f":"P1077+Y1077+AH1077","v":95598.67512702434},43542.328434195442,93910.291459808097,64158.212545265189,34606.285037632828,26604.575685896652,null,{"$f":"SUM(G1079:M1079)","v":358420.3682898226},{"$f":"ROW()","v":1079}]
[null,{"$f":"CONCATENATE(\"Same note as Row \",O1078, \", except only first 3 column-blocks are summed.\")","v":"Same note as Row 1078, except only first 3 column-blocks are summed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1080}]
[null,"Toll Increment (i.e., cordon toll) per trip",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1081},{"$f":"P343","v":7.2526852155966274E-6},7.2526852155966274E-6,8.8772867038902739,8.8772867038902739,8.8772867038902739,7.2526852155966274E-6,null,null,null,{"$f":"Y343","v":7.2446720404579861E-6},7.2446720404579861E-6,8.8674785775205756,8.8674785775205756,8.8674785775205756,7.2446720404579861E-6,null,null,null,{"$f":"AH343","v":7.2030402931147847E-6},7.2030402931147847E-6,8.8165213187724962,8.8165213187724962,8.8165213187724962,7.2030402931147847E-6,null,null,null,{"$f":"AQ343","v":3.8100018270885314E-6},3.8100018270885314E-6,4.6634422363563628,4.6634422363563628,4.6634422363563628,3.8100018270885314E-6,null,null,null,{"$f":"AZ343","v":1.7995786333485653E-5},1.7995786333485653E-5,22.026842472186441,22.026842472186441,22.026842472186441,1.7995786333485653E-5,null,null,null,{"$f":"BI343","v":3.7961714985902451E-6},3.7961714985902451E-6,4.6465139142744603,4.6465139142744603,4.6465139142744603,3.7961714985902451E-6]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O339, \".\")","v":"Copied from Row 339."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1082}]
[null,"Daily toll revenue, $000",null,null,null,null,{"$f":"P1083+Y1083+AH1083+AQ1083+AZ1083+BI1083","v":7.5952027836512497E-4},3.5491942933765818E-4,909.85823089560495,628.13113327759947,338.821052652258,2.1980230053380895E-4,null,{"$f":"SUM(G1083:M1083)","v":1876.8117510674708},{"$f":"ROW()","v":1083},{"$f":"P1077*P1081/1000","v":1.7310854196394131E-4},1.7621882048175299E-5,234.83354889254804,67.56747168125753,92.450887324277744,3.906960034854124E-6,null,{"$f":"SUM(P1083:V1083)","v":394.8521025354674},null,{"$f":"Y1077*Y1081/1000","v":3.0629250918941118E-4},1.9864019301657929E-4,438.06078483386102,394.72596804521424,157.48791038372761,1.4106612192141003E-4,null,{"$f":"SUM(Y1083:AE1083)","v":990.27530926162694},null,{"$f":"AH1077*AH1081/1000","v":2.1214511272671E-4},9.8637186030275465E-5,159.19252886332933,106.08961684136968,56.706091620572977,4.7498133121674191E-5,null,{"$f":"SUM(AH1083:AN1083)","v":321.98859560570389},null,{"$f":"AQ1077*AQ1081/1000","v":0},0,0,0,0,0,null,{"$f":"SUM(AQ1083:AV1083)","v":0},null,{"$f":"AZ1077*AZ1081/1000","v":6.7974114485062838E-5},4.0020168242628196E-5,77.771368305866815,59.748076709759012,32.17616332367971,2.7331085455870705E-5,null,{"$f":"SUM(AZ1083:BF1083)","v":169.6957436646737},null,{"$f":"BI1077*BI1081/1000","v":0},0,0,0,0,0,null,{"$f":"SUM(BI1083:BO1083)","v":0}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O1077, \" (toll-paying vehicles) and \",O1081, \" (toll per trip).\")","v":"Product of Rows 1077 (toll-paying vehicles) and 1081 (toll per trip)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1084}]
[null,"Of which daily revenue from autos (work+non-work+thru) is , $000",null,null,null,null,{"$f":"P1083+Y1083+AH1083","v":6.9154616388006243E-4},3.1489926109503003E-4,832.08686258973842,568.38305656784144,306.6448893285783,1.9247121507793836E-4,null,{"$f":"SUM(G1085:M1085)","v":1707.1160074027982},{"$f":"ROW()","v":1085}]
[null,{"$f":"CONCATENATE(\"Same as Row \",O1084, \", except only first 3 column-blocks are summed.\")","v":"Same as Row 1084, except only first 3 column-blocks are summed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1086}]
[null,"Annual toll revenue, $000,000",null,null,null,null,null,null,null,null,null,null,null,{"$f":"W1087+AF1087+AO1087+AX1087+BG1087+BP1087","v":215.83335137275913},{"$f":"ROW()","v":1087},null,null,null,null,null,null,null,{"$f":"W1083*wkend_per_yr/1000","v":45.407991791578752},null,null,null,null,null,null,null,null,{"$f":"AF1083*wkend_per_yr/1000","v":113.88166056508709},null,null,null,null,null,null,null,null,{"$f":"AO1083*wkend_per_yr/1000","v":37.028688494655952},null,null,null,null,null,null,null,null,{"$f":"AX1083*wkend_per_yr/1000","v":0},null,null,null,null,null,null,null,null,{"$f":"BG1083*wkend_per_yr/1000","v":19.515010521437475},null,null,null,null,null,null,null,null,{"$f":"BP1083*wkend_per_yr/1000","v":0}]
[null,{"$f":"CONCATENATE(\"Cell N\",O1087, \" is product of Cell N\",O1085, \" and # of weekend days in year.\")","v":"Cell N1087 is product of Cell N1085 and # of weekend days in year."},null,null,null,null,null,null,null,null,null,null,null,"Annual cordon toll revenue, wkends, 10^6",{"$f":"ROW()","v":1088},null,null,null,null,null,null,null,"Cordon toll revenue, work trips, wkends, 10^6",null,null,null,null,null,null,null,null,"Cordon toll rev., non-work trips, wkends, 10^6",null,null,null,null,null,null,null,null,"Cordon toll rev., thru trips, wkends, 10^6",null,null,null,null,null,null,null,null,"Cordon toll revenue, FHVs, wkdays, 10^6",null,null,null,null,null,null,null,null,"Cordon toll rev., truck trips, wkends, 10^6",null,null,null,null,null,null,null,null,"Cordon toll rev., bus trips, wkends, 10^6"]
[null,"Average prior toll for autos + trucks + buses (but excluding medallion taxicabs)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"(W1068*W273+AF1068*AF273+AO1068*AO273+BG1068*BG273+BP1068*BP273)/(W1068+AF1068+AO1068+BG1068+BP1068)","v":2.9901026324461624},{"$f":"ROW()","v":1089},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figure in Row \",O1087, \" above is taken from 'Taxis' tab, Row \",O686, \", rather than derived in this worksheet.\")","v":"Figure in Row 1087 above is taken from 'Taxis' tab, Row 686, rather than derived in this worksheet."}]

{"sheet":"Trucks","index":25,"n_rows":211,"n_cols":21,"rows_kept":211,"cut":false,"hidden":false,"merged":[[34,15,36,15],[34,16,36,16],[34,17,36,17],[34,18,36,18],[126,11,129,11],[9,1,9,8],[34,3,36,3],[34,4,36,4],[172,9,175,9],[172,4,175,4],[162,1,162,2],[158,1,158,2],[145,1,145,2],[165,3,166,9],[151,1,151,2],[164,1,164,2],[116,5,119,5],[116,6,119,6],[116,7,119,7],[116,8,119,8],[172,5,175,5],[172,6,175,6],[172,7,175,7],[152,3,153,9],[116,9,119,9],[116,10,119,10],[127,1,128,3],[139,2,140,4],[149,1,149,2],[134,4,135,4],[134,5,135,5],[131,1,132,11],[120,11,122,11],[34,7,36,7],[34,8,36,8],[34,9,36,9],[205,5,205,7],[67,7,70,7],[76,7,76,8],[67,5,70,5],[67,6,70,6],[67,9,70,9],[154,3,156,9],[52,1,54,10],[172,3,175,3],[55,1,59,10],[60,1,62,10],[63,1,64,10],[67,3,70,3],[34,19,36,19],[39,3,39,18],[3,1,5,10],[7,1,8,10],[11,1,12,10],[17,1,21,10],[23,1,25,10],[27,1,29,10],[35,1,36,2],[34,10,36,10],[34,11,36,11],[34,12,36,12],[34,13,36,13],[34,14,36,14],[34,5,36,5],[34,6,36,6],[67,4,70,4],[90,3,95,3],[90,4,95,4],[126,9,127,10],[128,9,129,10],[113,9,115,10],[106,1,107,10],[111,1,112,10]]}
[null,"Trucks",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet estimates the mix of truck types (sizes) that now enter or drive through the Manhattan Central Business District and calculates the revenue implications of applying either MTA's or Port Authority's axle-based truck toll schedule to the proposed CBD cordon toll.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Note that current (2017 estimated) truck volumes and shares for all MTA crossings are compiled in the MTA Crossings worksheet tab, where calculations are made of \"lost\" revenue from discounting truck tolls at MTA bridges.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Abbreviations",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"\"MTA\" = Metropolitan Transportation Authority, whose \"Bridges and Tunnels\" unit (formerly the Triborough Bridge & Tunnel Authority, or TBTA) operates, inter alia, the Queens Midtown and Brooklyin-Battery Tunnels.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"\"PA\" = Port Authority of New York and New Jersey, which operates, inter alia, the Lincoln and Holland Tunnels.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"A. Definitions and Criteria",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"On its Web page until recently, \"MTA Bridges and Tunnels Crossing Charges\" (see <http://bit.ly/hQ2X0A>), the MTA defined trucks simply as \"More than 7,000 lbs maximum gross weight (MGW).\" (A vehicle must also have commercial license plates to be considered a truck by the MTA.) Presumably, then, Ford 2011 E-Series vans are classified as trucks by the MTA − even though they have just two rather than four (dual) rear wheels − since they are all 8,000 MGW or higher. (See Ford specs here: <http://bit.ly/hfg8N9>.) Note that Maximum Gross Weight is determined through commercial vehicle registration and E-ZPass registration. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"For the Port Authority: According to the PA's \"Green Book\" of Traffic Rules and Regulations, a truck \"shall mean a motor vehicle having dual rear wheels designed, used or maintained primarily for the transportation of goods, wares and merchandise or registered for such use.\" (March 2008, p. 5, avail. at: < http://1.usa.gov/hntgWf>, emphasis added)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"The PA's \"dual rear wheels\" criterion is noteworthy. It denotes two wheels on each side, i.e., four rear wheels in total, and implies that so long as a vehicle has only two rear wheels, it is treated, for toll purposes, as an automobile. In other words, the PA tolls \"man with van\" vehicles (e.g., Econoline vans) at the same rate as passenger cars.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"B. MTA Bridge & Tunnel Volumes by classification (2017) and Toll Rates (to take effect March 31, 2019)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,1,2,3,4,5,6,7,8,9,10,11,12,13,14,null,null,null,{"$f":"ROW()","v":34}]
[null,"1. Annual Volumes (000)",null,"Passenger Cars","Passenger Cars w/ 1-axle trailer","Passenger Cars w/ 2-axle trailer","Trucks\n2 Axles","Franchise Buses\n2 Axles","Trucks\n3 Axles","Trucks\n4 Axles","Trucks\n5 Axles","Motorcycles","Non-Revenue Vehicles","Franchise Buses\n3 Axles","Trucks\n6 Axles","Trucks\n7 Axles","Other Vehicles","Total Toll-Paying Vehicles (2014)","Total Vehicles (2014)","Projected Toll-Paying Vehicles (2015)",{"$f":"ROW()","v":35}]
[null,{"$f":"CONCATENATE(\"See 'MTA Crossings' tab, Row \",'MTA Crossings'!AL31, \" for source.\")","v":"See 'MTA Crossings' tab, Row 31 for source."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Verrazano Bridge",null,{"$f":"'MTA Crossings'!D36","v":67051},{"$f":"'MTA Crossings'!E36","v":39},{"$f":"'MTA Crossings'!F36","v":34},{"$f":"'MTA Crossings'!G36","v":2350},{"$f":"'MTA Crossings'!H36","v":172},{"$f":"'MTA Crossings'!I36","v":514},{"$f":"'MTA Crossings'!J36","v":278},{"$f":"'MTA Crossings'!K36","v":961},{"$f":"'MTA Crossings'!L36","v":130},{"$f":"'MTA Crossings'!M36","v":452},{"$f":"'MTA Crossings'!N36","v":358},{"$f":"'MTA Crossings'!O36","v":29},{"$f":"'MTA Crossings'!P36","v":4},{"$f":"'MTA Crossings'!Q36","v":1},{"$f":"'MTA Crossings'!R36","v":71922},{"$f":"'MTA Crossings'!S36","v":72374},{"$f":"'MTA Crossings'!T36","v":72907},{"$f":"ROW()","v":38}]
[null,"Triborough Br (Manhattan)",null,{"$f":"'MTA Crossings'!D37","v":58536},{"$f":"'MTA Crossings'!E37","v":37},{"$f":"'MTA Crossings'!F37","v":21},{"$f":"'MTA Crossings'!G37","v":3472},{"$f":"'MTA Crossings'!H37","v":22},{"$f":"'MTA Crossings'!I37","v":628},{"$f":"'MTA Crossings'!J37","v":145},{"$f":"'MTA Crossings'!K37","v":562},{"$f":"'MTA Crossings'!L37","v":86},{"$f":"'MTA Crossings'!M37","v":662},{"$f":"'MTA Crossings'!N37","v":279},{"$f":"'MTA Crossings'!O37","v":18},{"$f":"'MTA Crossings'!P37","v":3},{"$f":"'MTA Crossings'!Q37","v":1},{"$f":"'MTA Crossings'!R37","v":63810},{"$f":"'MTA Crossings'!S37","v":64472},{"$f":"'MTA Crossings'!T37","v":32563.326816032881},{"$f":"ROW()","v":39}]
[null,"Triborough Bridge (Bronx)",null,"Note that Stantec's 2014 volumes combine Triboro's Manhattan and Bronx spans, whereas its 2015 projections record them separately. Our projections (below) will prorate the total between the two spans.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'MTA Crossings'!T38","v":32566.673183967123},{"$f":"ROW()","v":40}]
[null,"Bronx Whitestone Bridge",null,{"$f":"'MTA Crossings'!D39","v":42768},{"$f":"'MTA Crossings'!E39","v":20},{"$f":"'MTA Crossings'!F39","v":15},{"$f":"'MTA Crossings'!G39","v":1639},{"$f":"'MTA Crossings'!H39","v":48},{"$f":"'MTA Crossings'!I39","v":325},{"$f":"'MTA Crossings'!J39","v":227},{"$f":"'MTA Crossings'!K39","v":789},{"$f":"'MTA Crossings'!L39","v":57},{"$f":"'MTA Crossings'!M39","v":205},{"$f":"'MTA Crossings'!N39","v":111},{"$f":"'MTA Crossings'!O39","v":19},{"$f":"'MTA Crossings'!P39","v":5},{"$f":"'MTA Crossings'!Q39","v":1},{"$f":"'MTA Crossings'!R39","v":46023},{"$f":"'MTA Crossings'!S39","v":46227},{"$f":"'MTA Crossings'!T39","v":46380},{"$f":"ROW()","v":41}]
[null,"Throgs Neck Bridge",null,{"$f":"'MTA Crossings'!D40","v":39054},{"$f":"'MTA Crossings'!E40","v":59},{"$f":"'MTA Crossings'!F40","v":62},{"$f":"'MTA Crossings'!G40","v":1868},{"$f":"'MTA Crossings'!H40","v":3},{"$f":"'MTA Crossings'!I40","v":364},{"$f":"'MTA Crossings'!J40","v":330},{"$f":"'MTA Crossings'!K40","v":1786},{"$f":"'MTA Crossings'!L40","v":56},{"$f":"'MTA Crossings'!M40","v":181},{"$f":"'MTA Crossings'!N40","v":2},{"$f":"'MTA Crossings'!O40","v":82},{"$f":"'MTA Crossings'!P40","v":26},{"$f":"'MTA Crossings'!Q40","v":3},{"$f":"'MTA Crossings'!R40","v":43694},{"$f":"'MTA Crossings'!S40","v":43875},{"$f":"'MTA Crossings'!T40","v":43852},{"$f":"ROW()","v":42}]
[null,"Brooklyn Battery Tunnel",null,{"$f":"'MTA Crossings'!D41","v":16083},{"$f":"'MTA Crossings'!E41","v":5},{"$f":"'MTA Crossings'!F41","v":2},{"$f":"'MTA Crossings'!G41","v":651},{"$f":"'MTA Crossings'!H41","v":13},{"$f":"'MTA Crossings'!I41","v":173},{"$f":"'MTA Crossings'!J41","v":25},{"$f":"'MTA Crossings'!K41","v":3},{"$f":"'MTA Crossings'!L41","v":61},{"$f":"'MTA Crossings'!M41","v":161},{"$f":"'MTA Crossings'!N41","v":494},{"$f":"'MTA Crossings'!O41","v":0},{"$f":"'MTA Crossings'!P41","v":0},{"$f":"'MTA Crossings'!Q41","v":0},{"$f":"'MTA Crossings'!R41","v":17510},{"$f":"'MTA Crossings'!S41","v":17671},{"$f":"'MTA Crossings'!T41","v":17727},{"$f":"ROW()","v":43}]
[null,"Queens Midtown Tunnel",null,{"$f":"'MTA Crossings'!D42","v":22981},{"$f":"'MTA Crossings'!E42","v":10},{"$f":"'MTA Crossings'!F42","v":5},{"$f":"'MTA Crossings'!G42","v":1463},{"$f":"'MTA Crossings'!H42","v":52},{"$f":"'MTA Crossings'!I42","v":216},{"$f":"'MTA Crossings'!J42","v":28},{"$f":"'MTA Crossings'!K42","v":9},{"$f":"'MTA Crossings'!L42","v":34},{"$f":"'MTA Crossings'!M42","v":130},{"$f":"'MTA Crossings'!N42","v":265},{"$f":"'MTA Crossings'!O42","v":0},{"$f":"'MTA Crossings'!P42","v":0},{"$f":"'MTA Crossings'!Q42","v":0},{"$f":"'MTA Crossings'!R42","v":25065},{"$f":"'MTA Crossings'!S42","v":25195},{"$f":"'MTA Crossings'!T42","v":25846},{"$f":"ROW()","v":44}]
[null,"Henry Hudson Bridge",null,{"$f":"'MTA Crossings'!D43","v":25266},{"$f":"'MTA Crossings'!E43","v":6},{"$f":"'MTA Crossings'!F43","v":3},{"$f":"'MTA Crossings'!G43","v":239},{"$f":"'MTA Crossings'!H43","v":0},{"$f":"'MTA Crossings'!I43","v":4},{"$f":"'MTA Crossings'!J43","v":1},{"$f":"'MTA Crossings'!K43","v":1},{"$f":"'MTA Crossings'!L43","v":36},{"$f":"'MTA Crossings'!M43","v":69},{"$f":"'MTA Crossings'!N43","v":0},{"$f":"'MTA Crossings'!O43","v":0},{"$f":"'MTA Crossings'!P43","v":0},{"$f":"'MTA Crossings'!Q43","v":0},{"$f":"'MTA Crossings'!R43","v":25555},{"$f":"'MTA Crossings'!S43","v":25624},{"$f":"'MTA Crossings'!T43","v":25817},{"$f":"ROW()","v":45}]
[null,"Marine Parkway Bridge",null,{"$f":"'MTA Crossings'!D44","v":7633},{"$f":"'MTA Crossings'!E44","v":4},{"$f":"'MTA Crossings'!F44","v":3},{"$f":"'MTA Crossings'!G44","v":229},{"$f":"'MTA Crossings'!H44","v":58},{"$f":"'MTA Crossings'!I44","v":23},{"$f":"'MTA Crossings'!J44","v":4},{"$f":"'MTA Crossings'!K44","v":13},{"$f":"'MTA Crossings'!L44","v":9},{"$f":"'MTA Crossings'!M44","v":70},{"$f":"'MTA Crossings'!N44","v":1},{"$f":"'MTA Crossings'!O44","v":0},{"$f":"'MTA Crossings'!P44","v":0},{"$f":"'MTA Crossings'!Q44","v":0},{"$f":"'MTA Crossings'!R44","v":7977},{"$f":"'MTA Crossings'!S44","v":8048},{"$f":"'MTA Crossings'!T44","v":8050},{"$f":"ROW()","v":46}]
[null,"Cross Bay Bridge",null,{"$f":"'MTA Crossings'!D45","v":7793},{"$f":"'MTA Crossings'!E45","v":5},{"$f":"'MTA Crossings'!F45","v":5},{"$f":"'MTA Crossings'!G45","v":362},{"$f":"'MTA Crossings'!H45","v":140},{"$f":"'MTA Crossings'!I45","v":64},{"$f":"'MTA Crossings'!J45","v":7},{"$f":"'MTA Crossings'!K45","v":14},{"$f":"'MTA Crossings'!L45","v":15},{"$f":"'MTA Crossings'!M45","v":101},{"$f":"'MTA Crossings'!N45","v":36},{"$f":"'MTA Crossings'!O45","v":0},{"$f":"'MTA Crossings'!P45","v":0},{"$f":"'MTA Crossings'!Q45","v":0},{"$f":"'MTA Crossings'!R45","v":8441},{"$f":"'MTA Crossings'!S45","v":8542},{"$f":"'MTA Crossings'!T45","v":8493},{"$f":"ROW()","v":47}]
[null,null,null,{"$f":"SUM(D38:D47)","v":287165},185,150,12273,508,2311,1045,4138,484,2031,1546,148,38,6,309997,312028,{"$f":"'MTA Crossings'!T46","v":314202},{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"B. Vehicle Classification Shares",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Both PA and MTA count vehicles by \"type\" at all of their toll crossings, including those into the Manhattan CBD. Not surprisingly, their counts follow their respective truck classification systems. And both of these differ from the NYMTC \"Hub-Bound\" data from which we have estimated the number of truck crossings into the CBD.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,"The PA's truck classifications, based on number of wheels and axles, are straightforward. Unfortunately, some vehicles that we count here (most critically, in the Motor Vs and Motor Vs Weekends worksheets) as trucks, e.g., Econoline vans, are recorded by the PA as cars since they pay car tolls on PA crossings. Moreover, the only CBD-crossing data available from the PA, for the Lincoln Tunnel, may not be a good representation of all CBD-bound traffic, if trucks make up a higher share of CBD-bound vehicles from west of the Hudson than they do for, say, vehicles entering from the north at 60th St. Thus, the PA data (for the Lincoln Tunnel) may not suffice on their own.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"The MTA data, for the Queens-Midtown and Brooklyn-Battery Tunnels, appear to be a reasonable proxy for all CBD-bound vehicles. But the MTA truck classification system, based on weight, may be too confusing to \"sell\" to the public as part of a cordon toll plan.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"We therefore interpolate between PA and MTA data in order to subdivide the number of trucks entering the CBD by number of wheels and axles — the criteria used by the PA to toll trucks, which we intend to rely on for our formulation of truck tolls.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Lincoln Tunnel Truck Volumes ",null,null,{"$f":"CONCATENATE(\"(See Row \",U171,\" for source.)\")","v":"(See Row 171 for source.)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,"Cars, Single Rear Wheels, Autos, Vans, Pickups, M-cycles, RVs","Buses (includes Minibuses)","2-axle truck with Dual Rear Wheels","3-4 Axles","5 or more Axles",null,"All",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"24-h averages",null,{"$f":"D203","v":49974},{"$f":"E203","v":6808},{"$f":"F203","v":3369},{"$f":"G203","v":1215},{"$f":"H203","v":446},null,{"$f":"SUM(D72:I72)","v":61812},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"Copied from sums of hourly data in table, below, and shown in Row \",U203,\".\")","v":"Copied from sums of hourly data in table, below, and shown in Row 203."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Compare to annual MTA Tunnel Truck and Car Volumes ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"From 'MTA Crossings' tab, Rows \",'MTA Crossings'!AL41, \" and \",'MTA Crossings'!AL42, \".\")","v":"From 'MTA Crossings' tab, Rows 41 and 42."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,"18-Wheelers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,"Cars","2-Axle truck","3-Axle truck","4-Axle truck","5-Axle truck","6+-Axle truck",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"QMT",null,{"$f":"'MTA Crossings'!D42*1000","v":22981000},{"$f":"'MTA Crossings'!G42*1000","v":1463000},{"$f":"'MTA Crossings'!I42*1000","v":216000},{"$f":"'MTA Crossings'!J42*1000","v":28000},{"$f":"'MTA Crossings'!K42*1000","v":9000},{"$f":"('MTA Crossings'!O42+'MTA Crossings'!P42)*1000","v":0},{"$f":"SUM(D79:I79)","v":24697000},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,{"$f":"D79/$J79","v":0.93051787666518204},5.9237964125197391E-2,8.746001538648419E-3,1.1337409401951655E-3,3.6441673077701746E-4,0,{"$f":"SUM(D80:I80)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"BBT",null,{"$f":"'MTA Crossings'!D41*1000","v":16083000},{"$f":"'MTA Crossings'!G41*1000","v":651000},{"$f":"'MTA Crossings'!I41*1000","v":173000},{"$f":"'MTA Crossings'!J41*1000","v":25000},{"$f":"'MTA Crossings'!K41*1000","v":3000},{"$f":"('MTA Crossings'!O41+'MTA Crossings'!P41)*1000","v":0},{"$f":"SUM(D81:I81)","v":16935000},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,0.94968999114260411,3.8441098317094774E-2,1.0215529967522882E-2,1.4762326542663124E-3,1.771479185119575E-4,0,{"$f":"SUM(D82:I82)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"The remaining step is to subdivide the MTA's counts of 2-axle trucks into dual rear wheels and single rear wheels.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Share of 2-Axle trucks observed by MTA that have dual rear wheels, and thus would be classed as trucks:",null,null,null,null,null,null,null,0.5,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Which gives rise to this table:",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Annual QMT & BBT Volumes, revised to reflect PANYNJ classifications",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,{"$f":"CONCATENATE(\"Cars\n(includes \",(1-J86)*100, \"% of Vehicles recorded by MTA as 2-Axle trucks)\")","v":"Cars\n(includes 50% of Vehicles recorded by MTA as 2-Axle trucks)"},{"$f":"CONCATENATE(\"Trucks (includes \",(J86)*100, \"% of Vehicles recorded by MTA as 2-Axle trucks)\")","v":"Trucks (includes 50% of Vehicles recorded by MTA as 2-Axle trucks)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,"3-Axle truck","4-Axle truck","5-Axle truck","6+-Axle truck","All","Just trucks",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Queens Midtown Tunnel",null,{"$f":"D79+(1-$J$86)*E79","v":23712500},{"$f":"$J$86*E79","v":731500},{"$f":"F79","v":216000},{"$f":"G79","v":28000},{"$f":"H79","v":9000},{"$f":"I79","v":0},{"$f":"SUM(D97:I97)","v":24697000},{"$f":"SUM(E97:I97)","v":984500},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,"% of cars + trucks",{"$f":"D97/$J97","v":0.96013685872778065},2.9618982062598696E-2,8.746001538648419E-3,1.1337409401951655E-3,3.6441673077701746E-4,0,{"$f":"SUM(D98:I98)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,"% of trucks only",null,{"$f":"E97/$K97","v":0.74301675977653636},{"$f":"F97/$K97","v":0.21940071102082276},{"$f":"G97/$K97","v":2.8440832910106652E-2},{"$f":"H97/$K97","v":9.141696292534281E-3},{"$f":"I97/$K97","v":0},null,{"$f":"SUM(D99:I99)","v":1.0000000000000002},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Bklyn Battery Tunnel",null,{"$f":"D81+(1-$J$86)*E81","v":16408500},{"$f":"$J$86*E81","v":325500},{"$f":"F81","v":173000},{"$f":"G81","v":25000},{"$f":"H81","v":3000},{"$f":"I81","v":0},{"$f":"SUM(D100:I100)","v":16935000},{"$f":"SUM(E100:I100)","v":526500},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,"% of cars + trucks",{"$f":"D100/$J100","v":0.96891054030115142},1.9220549158547387E-2,1.0215529967522882E-2,1.4762326542663124E-3,1.771479185119575E-4,0,{"$f":"SUM(D101:I101)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,"% of trucks only",null,{"$f":"E100/$K100","v":0.61823361823361822},{"$f":"F100/$K100","v":0.3285849952516619},{"$f":"G100/$K100","v":4.7483380816714153E-2},{"$f":"H100/$K100","v":5.6980056980056983E-3},{"$f":"I100/$K100","v":0},null,{"$f":"SUM(D102:I102)","v":0.99999999999999989},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"2 MTA tunnels combined",null,{"$f":"D97+D100","v":40121000},1057000,389000,53000,12000,0,{"$f":"SUM(D103:I103)","v":41632000},{"$f":"SUM(E103:I103)","v":1511000},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,"% of cars + trucks",{"$f":"D103/$J103","v":0.96370580322828592},2.53891237509608E-2,9.3437740199846277E-3,1.2730591852421216E-3,2.8823981552651804E-4,0,{"$f":"SUM(D104:I104)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,"% of trucks only",null,{"$f":"E103/$K103","v":0.69953673064195898},{"$f":"F103/$K103","v":0.25744540039708802},{"$f":"G103/$K103","v":3.5076108537392459E-2},{"$f":"H103/$K103","v":7.9417604235605555E-3},{"$f":"I103/$K103","v":0},null,{"$f":"SUM(D105:I105)","v":1},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,{"$f":"CONCATENATE(\"The percentages in Row \",U105, \" represent our best estimate of the breakdown by type of truck (using the PA's classification system), of trucks entering the Manhattan CBD.\")","v":"The percentages in Row 105 represent our best estimate of the breakdown by type of truck (using the PA's classification system), of trucks entering the Manhattan CBD."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"C. Proposed \"Graduation\" of Truck Tolls",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Here we derive an approximate toll schedule that charges trucks per number of axles, with objective of having the average toll charged for trucks (i.e., vehicles the MTA will classify as trucks) be roughly double the toll for cars.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Toll inputs follow slope of tolls on MTA Major Crossings shown in Rows \",U146, \"-\",U150, \".\")","v":"Toll inputs follow slope of tolls on MTA Major Crossings shown in Rows 146-150."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"The following toll schedule, developed circa 2011, accomplished that objective.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,"1. Baseline (replicates 2011 tolls and fares)","Fix NYC medium plan","Fare Toll (CBD toll = Subway Fare)","Move NY - Gridlock Sam Fair Plan","Move NY - Sam Plan w Variable Tolls","East River Bridge Tolls only",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Ratio of toll for 2-Axle truck, to auto toll",null,null,null,1.8,2,1.5,{"$f":"E150","v":1.8071895424836601},{"$f":"I121","v":1.8071895424836601},1.8071895424836601,"INPUTS",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Toll ratio for 3-Ax truck (increment vs 2-ax)",null,null,null,1,1.5,1,{"$f":"F150-E150","v":1.1535947712418302},1.1535947712418302,1.1535947712418302,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Per-axle increm. over 3 axles",null,null,null,1,1,1,{"$f":"(I150-F150)/3","v":0.93191721132897565},0.93191721132897565,0.93191721132897565,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"All trucks, wghtd avg toll ratio to auto toll",null,null,null,{"$f":"$E$105*F121+$F$105*(F121+F122)+$G$105*(F121+F122+F123)+$H$105*(F121+F122+2*F123)+$I$105*(F121+F122+3*F123)","v":2.1514228987425548},{"$f":"$E$105*G121+$F$105*(G121+G122)+$G$105*(G121+G122+G123)+$H$105*(G121+G122+2*G123)+$I$105*(G121+G122+3*G123)","v":2.5016545334215752},{"$f":"$E$105*H121+$F$105*(H121+H122)+$G$105*(H121+H122+H123)+$H$105*(H121+H122+2*H123)+$I$105*(H121+H122+3*H123)","v":1.8514228987425545},{"$f":"$E$105*I121+$F$105*(I121+I122)+$G$105*(I121+I122+I123)+$H$105*(I121+I122+2*I123)+$I$105*(I121+I122+3*I123)","v":2.2012925546716962},2.2012925546716962,2.2012925546716962,"OUTPUTS",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Blocked out cells have been superseded, as of 6-Nov-2017. New value is \",E139,\", shown below.\")","v":"Blocked out cells have been superseded, as of 6-Nov-2017. New value is 1.85, shown below."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Matrix in next four rows shows tolls to be charged under the plansselected in Results worksheet tab. ",null,null,null,null,null,null,null,"Wght'd avg for all trucks",null,"OUTPUTS",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Truck toll as multiple of car toll",null,null,"2-Axle truck","3-Axle truck","4-Axle truck","5-Axle truck","6+-Axle truck",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,{"$f":"E149/$D$149","v":1.8071895424836601},{"$f":"F149/$D$149","v":2.9607843137254903},{"$f":"G149/$D$149","v":3.784313725490196},{"$f":"H149/$D$149","v":4.9330065359477127},{"$f":"I149/$D$149","v":5.7565359477124174},{"$f":"SUMPRODUCT($E$105:$I$105,$E$129:$I$129)","v":2.1983515223870271},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,"Calculated toll (peak hours)",{"$f":"ROUND(E129*'Policy Levers'!$K$34,1)","v":22.1},{"$f":"ROUND(F129*'Policy Levers'!$K$34,1)","v":36.200000000000003},{"$f":"ROUND(G129*'Policy Levers'!$K$34,1)","v":46.3},{"$f":"ROUND(H129*'Policy Levers'!$K$34,1)","v":60.4},{"$f":"ROUND(I129*'Policy Levers'!$K$34,1)","v":70.5},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"However, in Nov 2017 we consolidated Trucks with Buses in the Motor Vs worksheet (to make room for \"UberLyft\" to have its own set of column blocks. This requires us to \"blend in\" bus tolls with those for trucks, to yield a single truck-bus average:",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,"Toll Ratio to autos","Est. # entering CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,"Sources",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,"Trucks",null,{"$f":"J129","v":2.1983515223870271},35000,"Truck toll ratio is derived and shown directly above.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,"Buses",null,{"$f":"'Motor Vs'!BF41","v":0.72395833333333337},11000,{"$f":"CONCATENATE(\"Bus to auto toll ratio is derived in 'Motor Vs' tab, Row \",'Motor Vs'!O28, \" in 'Trucks' column block.\")","v":"Bus to auto toll ratio is derived in 'Motor Vs' tab, Row 28 in 'Trucks' column block."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,"Combined",null,{"$f":"ROUND(SUMPRODUCT(E137:E138,F137:F138)/SUM(F137:F138),2)","v":1.85},null,{"$f":"CONCATENATE(\"# vehicles entering CBD are Komanoff estimates. They inform Cell M\",'Motor Vs'!O35, \" of 'Motor Vs' tab.\")","v":"# vehicles entering CBD are Komanoff estimates. They inform Cell M35 of 'Motor Vs' tab."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,"We use this combined truck-bus toll ratio to autos, as of 6-Nov-2017.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"D. Current Tunnel Toll Rates (tolls charged in each direction)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"MTA Major Crossings",null,"Cars","2-Axle truck","3-Axle truck","4-Axle truck","5-Axle truck","6-Axle truck","7-Axle truck",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,"Axles",2,2,3,4,5,6,7,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,"Wheels",4,{"$f":"(E147-1)*4+2","v":6},10,14,18,22,26,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,"E-ZPass",{"$f":"MTA_1Way_EZPass_2019","v":6.12},11.06,18.12,23.16,30.19,35.229999999999997,42.26,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Truck/Car Toll Ratio",null,{"$f":"D149/$D149","v":1},1.8071895424836601,2.9607843137254903,3.784313725490196,4.9330065359477127,5.7565359477124174,6.9052287581699341,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,"Cash",8,19,31.29,39.119999999999997,51.41,59.24,73.760000000000005,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Cash/EZ-P Toll Ratio",null,{"$f":"D151/D149","v":1.3071895424836601},1.7179023508137432,1.7268211920529799,1.6891191709844557,1.7028817489234844,1.6815214305989217,1.7453857075248465,null,{"$f":"IF(Results!$K$27=\"Baseline\",MTA_1Way_EZPass_2019,IF(Results!$K$27=\"Bloomberg (2008)\",MTA_1Way_EZPass_2019,IF(Results!$K$27=\"Fix NYC medium plan\",MTA_1Way_EZPass_2019,IF(Results!$K$27=\"Move NY - Gridlock Sam Fair Plan\",MTA_1Way_EZPass_2019,IF(Results!$K$27=\"Move NY - Sam Plan w Variable Tolls\",MTA_1Way_EZPass_2019,MTA_1Way_EZPass_2019)))))","v":6.12},"Save formula at left, since its IF statement may prove valuable in future.",null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,"Major crossings are RFK, Whitestone, Throgs Neck, BBT, QMT. Note that MTA tolls do not vary by time of day. Toll rates are prospective as of 22-March-2015.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,null,"Car tolls apply to: \"2 axle passenger vehicles and trucks with MGW of 7,000 lbs. and under. Include: SUVs, self-propelled mobile homes, ambulances, hearses, and vehicles with seating capacity up to 15 adults including driver.\"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Lincoln Tunnel",null,"Cars","2-Axle truck","3-Axle truck","4-Axle truck","5-Axle truck","6-Axle truck","7-Axle truck",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,"Axles",2,2,3,4,5,6,7,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,null,"Wheels",4,{"$f":"(E160-1)*4+2","v":6},10,14,18,22,26,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,"E-ZPass, Peak",{"$f":"PA_Peak_Toll_EZPass","v":12.5},24,36,48,60,72,84,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Truck/Car Toll Ratio",null,{"$f":"D162/$D162","v":1},1.92,2.88,3.84,4.8,5.76,6.72,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,"E-ZPass, Off-Peak",{"$f":"PA_Offpeak_Toll_EZPass","v":10.5},22,33,44,55,66,77,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Truck/Car Toll Ratio",null,{"$f":"D164/$D164","v":1},2.0952380952380953,3.1428571428571428,4.1904761904761907,5.2380952380952381,6.2857142857142856,7.333333333333333,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,"Tolls are from <http://www.panynj.gov/bridges-tunnels/tolls.html>. All tolls are as of 3-December-2012. More info at <http://www.panynj.gov/truckers-resources/>. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"E. Lincoln Tunnel Truck volume Data",null,null,null,{"$f":"CONCATENATE(\"These data are distilled at the bottom, in Row \",U203, \", and are used above, in Row \",U72, \".\")","v":"These data are distilled at the bottom, in Row 203, and are used above, in Row 72."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Lincoln Tunnel Truck Volumes by Time of Day ",null,null,null,"(source: NYCDOT, \"Manhattan River Crossings,\" p. 70 of 70)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,"Cars, Single Rear Wheels, Autos, Vans, Pickups, M-cycles, RVs","Buses (includes Minibuses)","2-axle truck with Dual Rear Wheels","3-4 Axles","5 or more Axles",null,"All",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"AM",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,12,null,852,61,25,46,16,null,{"$f":"SUM(D178:I178)","v":1000},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,1,null,522,30,23,43,17,null,{"$f":"SUM(D179:I179)","v":635},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,2,null,377,11,23,48,19,null,478,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,3,null,366,14,62,56,24,null,522,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,4,null,641,25,140,99,45,null,950,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,5,null,2097,136,321,131,75,null,2760,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,6,null,4243,429,380,128,51,null,5231,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,7,null,3608,805,342,53,20,null,4828,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,8,null,3175,879,305,43,11,null,4413,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,9,null,3390,587,321,60,20,null,4378,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,10,null,3307,292,251,57,19,null,3926,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,11,null,2854,209,182,58,20,null,3323,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"PM",null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,12,null,2533,195,174,55,20,null,2977,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,1,null,2380,221,176,37,13,null,2827,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,2,null,2416,262,155,24,13,null,2870,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,3,null,2379,373,109,24,6,null,2891,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,4,null,1944,517,86,19,4,null,2570,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,5,null,1578,400,51,13,2,null,2044,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,6,null,1912,408,52,14,5,null,2391,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,7,null,2182,322,47,24,4,null,2579,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,8,null,1933,225,32,44,7,null,2241,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,9,null,1886,164,36,48,8,null,2142,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,10,null,1839,138,34,54,9,null,2074,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,11,null,1560,105,42,37,18,null,1762,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"T O T A L",null,{"$f":"SUM(D178:D202)","v":49974},{"$f":"SUM(E178:E202)","v":6808},{"$f":"SUM(F178:F202)","v":3369},{"$f":"SUM(G178:G202)","v":1215},{"$f":"SUM(H178:H202)","v":446},null,{"$f":"SUM(D203:I203)","v":61812},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Share, %",null,{"$f":"D203/$J203","v":0.8084837895554261},{"$f":"E203/$J203","v":0.11014042580728661},{"$f":"F203/$J203","v":5.4503979809745681E-2},{"$f":"G203/$J203","v":1.9656377402446128E-2},{"$f":"H203/$J203","v":7.215427425095451E-3},null,{"$f":"SUM(D204:I204)","v":0.99999999999999978},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"% w/o Buses",null,{"$f":"D203/($J203-$E203)","v":0.9085521053014326},null,{"$f":"F203/($J203-$E203)","v":6.125009090247982E-2},{"$f":"G203/($J203-$E203)","v":2.2089302596174823E-2},{"$f":"H203/($J203-$E203)","v":8.1085011999127328E-3},null,{"$f":"SUM(D205:I205)","v":0.99999999999999989},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"Combined",null,{"$f":"D205","v":0.9085521053014326},null,{"$f":"SUM(F205:H205)","v":9.1447894698567372E-2},null,null,null,{"$f":"SUM(D206:I206)","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"F. Commercial Vehicle Occupancy Rates (pertinent to estimating number of people entering the CBD, in Travel worksheet)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"Average occupancy rate for trucks and other commercial vehicles entering Manhattan CBD",null,null,null,null,null,null,null,1.5,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]

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[null,"Taxis",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet addresses yellow cabs, a/k/a \"taxis.\" So-called TNC's: Transportation Network Companies, or app-based ride services providing on-demand, door-to-door vehicle travel, are treated in a separate worksheet, \"UberLyft.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5},null,"The table below was featured in my May 1, Streetsblog post, A Better Taxi Surcharge: More Congestion Reduction, Less Pain for Cab Drivers"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6},null,"https://nyc.streetsblog.org/2018/05/01/a-better-taxi-surcharge-more-congestion-reduction-less-pain-for-cab-drivers/"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,{"$f":"CONCATENATE(\"The tab estimates the impacts of a cordon toll(and possible taxi surcharges on use of yellow cabs, and feeds those results to other BTA worksheets. Key impacts are estimated in Rows \",O14, \"-\",O31, \". Directly after that box are links for navigating this very large worksheet.\")","v":"The tab estimates the impacts of a cordon toll(and possible taxi surcharges on use of yellow cabs, and feeds those results to other BTA worksheets. Key impacts are estimated in Rows 14-31. Directly after that box are links for navigating this very large worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,{"$f":"CONCATENATE(\"This tab can also be used to estimate impacts of changing the number of medallion cabs. To do so, click on the 'More Medallions' link in Cell B\",O44, \".\")","v":"This tab can also be used to estimate impacts of changing the number of medallion cabs. To do so, click on the 'More Medallions' link in Cell B44."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,"Under Current Conditions, i.e., Today",{"$f":"CONCATENATE(\"Results Projected for \",Results!K27, \".\")","v":"Results Projected for Fix NYC higher-range plan."},"Change\n(expressed\nas a\nnumber)","Change\n(expressed\nas a\npercent)",null,null,null,{"$f":"ROW()","v":13}]
[null,"Key Results",null,null,null,null,null,null,null,null,null,null,"Rows in this wksheet where shown or derived",null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"(All figures are weighted average of weekdays, weekends and holidays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Average number of fares per shift",null,null,null,null,null,{"$f":"F509","v":28.092964843969238},{"$f":"H509","v":32.113545822198297},{"$f":"I19-H19","v":4.0205809782290594},{"$f":"J19/H19","v":0.14311700457960613},null,{"$f":"O509","v":509},null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Fares per year for all medallion taxis (millions)",null,null,null,null,null,{"$f":"N72","v":108.77322416666665},{"$f":"M385","v":114.11147931545217},{"$f":"I21-H21","v":5.338255148785521},{"$f":"J21/H21","v":4.9076923017433355E-2},null,{"$f":"O385","v":385},null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Percentage of taxi miles driven with fare (as opposed to \"cruising\")",null,null,null,null,null,{"$f":"(L200*wkday_per_yr+M200*wkend_per_yr)/365","v":0.65},{"$f":"1-(L427*wkday_per_yr+N427*wkend_per_yr)/365","v":0.66629277663553133},{"$f":"I23-H23","v":1.6292776635531303E-2},{"$f":"J23/H23","v":2.5065810208509696E-2},null,{"$f":"CONCATENATE(,O200, \" & \",O427,)","v":"200 & 427"},null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Time lost cruising between fares, minutes",null,null,null,null,null,{"$f":"(F498*wkday_per_yr+K498*wkend_per_yr)/365","v":7.2719990916591302},{"$f":"(G498*wkday_per_yr+L498*wkend_per_yr)/365","v":6.0224742602741062},{"$f":"I25-H25","v":-1.249524831385024},{"$f":"J25/H25","v":-0.17182686846292508},null,{"$f":"O498","v":498},null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Average travel speed, mph, for fare trips entirely within CBD",null,null,null,null,null,{"$f":"(G455*wkday_per_yr+K455*wkend_per_yr)/365","v":8.5689254852846286},{"$f":"(H455*wkday_per_yr+L455*wkend_per_yr)/365","v":10.066943812886938},{"$f":"I27-H27","v":1.4980183276023098},{"$f":"J27/H27","v":0.17481985695579322},null,{"$f":"O455","v":455},null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Average travel speed, mph, for all fare trips",null,null,null,null,null,{"$f":"(F493*wkday_per_yr+K493*wkend_per_yr)/365","v":11.974589743669032},{"$f":"(G493*wkday_per_yr+L493*wkend_per_yr)/365","v":13.415446945597862},{"$f":"I29-H29","v":1.4408572019288304},{"$f":"J29/H29","v":0.12032622684970162},null,{"$f":"O493","v":493},null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,{"$f":"CONCATENATE(\"Baseline fare for typical pickup in Manhattan CBD, weekdays, 6am-8pm (covers \",'Taxi Farecalcs'!H74, \" miles)\")","v":"Baseline fare for typical pickup in Manhattan CBD, weekdays, 6am-8pm (covers 1.8 miles)"},null,null,null,null,null,{"$f":"'Taxi Farecalcs'!I74","v":10.84239769395241},{"$f":"'Taxi Farecalcs'!J74","v":14.094655097753478},{"$f":"I31-H31","v":3.2522574038010674},{"$f":"J31/H31","v":0.29995739831744844},null,{"$f":"CONCATENATE(\"Row \",'Taxi Farecalcs'!O74, \" of Taxi Farecalcs tab\")","v":"Row 74 of Taxi Farecalcs tab"},null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Links to Navigate this worksheet",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Taxi Parameters",null,"Part B: compile parameters related to medallion taxicabs that are used in other worksheets.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Geographical Distribtuion",null,"Part C: distributes taxi VMT geographically (e.g., inside and outside the CBD).",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"24-h Distributions",null,"Part D: estimates 24-h weekday and weekend distribution of medallion taxi fare rides and VMT.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Taxi Pricing Impacts",null,"Part E: examines impact of taxi pricing proposals on number of medallion taxi rides.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Other Pricing Impacts",null,"Part F: estimates impact of changes in prices/fares/service for other modes on number of taxi rides.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Taxi Miles Traveled",null,"Part G: calculates impact of changes in number of taxi rides on taxi VMT.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Fares Per Cab",null,"Part H: estimates change in number of fares per hour enabled by higher travel speeds.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Surcharges_and_Fares",null,"Part I: calculates fare surcharges & fare changes due to speed changes, and compares the two.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Changes to Other Modes",null,"Part J: specifies parameters used to calculate changes in transit usage and other modes as result of changes in terms of taxi service.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Revenue from entering CBD",null,"Part K. Estimate of revenue from tolling taxi/FHV trips that enter and leave the cordon",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"More Medallions",null,"Part K: presents a procedure for estimating traffic impacts from adding more medallion cabs to City's taxi fleet.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Taxis Congestion Causation",null,"Part L: estimates societal delays caused by a single taxi trip within the Manhattan CBD.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Taxi Rider Demographics",null,"Part M: presents material on demographic characteristics of medallion taxi users.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Green Taxicabs",null,"Part N: some data on total trips and revenue for NYC's new (2013) green taxi fleet",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Uber and other app FHV's",null,"Part O: specifies current (mid-2015) parameters pertaining to Uber and other app-based for-hire vehicles, esp'ly in Manhattan CBD.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Hybrid Taxi Fuel Savings",null,"Part P: estimates gasoline savings lost when Appeals Court blocked NYC reg mandating hybrid cabs.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Part B. Taxi Industry Parameters ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"'Schaller 2006' references are to Bruce Schaller's NY Taxicab Fact Book, 2006, available at http://www.schallerconsult.com/taxi/taxifb.pdf. 'Schaller 2017' references are to his Dec. 2017 report, 'Empty Seats, Full Streets,' available at http://schallerconsult.com/rideservices/emptyseats.pdf. Some data are from CSV file downloaded by NYS budget analyst Lynn Holland from NYC TLC Web site: http://www.nyc.gov/html/tlc/html/technology/aggregated_data.shtml.",null,null,null,null,null,null,null,null,"OLD headings","Figures in column apply to weekdays","Figures in column apply to all days, averaged","Figures in column apply to weekends and holidays",{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,"NEW headings","Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59},null,"Yellow taxi trips as recorded by TLC"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60},null,"Month","Fare Trips"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61},null,"2016-01",351816]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62},null,"2016-02",392470]
[null,"Daily # of fare trips, 2018, first half of year (Jan-June)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"S90","v":298008.83333333331},{"$f":"ROW()","v":63},null,"2016-03",393886]
[null,{"$f":"CONCATENATE(\"Calculated in Cell S\",O90, \" from TLC data shown in array in Columns Q&R, Rows \",O59, \"-\",O92, \".\")","v":"Calculated in Cell S90 from TLC data shown in array in Columns Q&R, Rows 59-92."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},null,"2016-04",397780]
[null,"Daily fare trips relative to 365-day average, for weekdays and for Sat-Sun-holidays",null,null,null,null,null,null,null,null,null,1.0232788645953199,0.94309781357882605,null,{"$f":"ROW()","v":65},null,"2016-05",381878]
[null,"Calculated from data in email to CK from Todd Pendleton of HNTB, Inc., Dec. 4, 2017, in which he summarized complete May 2017 yellow cab data he downloaded from NYC TLC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},null,"2016-06",371257]
[null,"Daily fare trips, weekdays vs. Sat-Sun-holidays, for first half of 2018",null,null,null,null,null,null,null,null,null,{"$f":"L65*$N$63","v":304946.14061270922},{"$f":"M65*$N$63","v":281051.4791438434},null,{"$f":"ROW()","v":67},null,"2016-07",332231]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying respective Cells L\",O65, \" and M\",O65,\" by Row \",O63, \".\")","v":"Calculated by multiplying respective Cells L65 and M65 by Row 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,"2016-08",320718]
[null,"Taxi ridership, daily # of fare trips, first half of 2018",null,null,null,null,null,null,null,{"$f":"SUM(H289:K289)*$L$69","v":209465.04054042336},{"$f":"L69-J69","v":95481.100072285859},{"$f":"$N$63*L65","v":304946.14061270922},{"$f":"$N$63*M65","v":281051.4791438434},null,{"$f":"ROW()","v":69},null,"2016-09",337321]
[null,{"$f":"CONCATENATE(\"Columns L & M are products of respective columns in Row \",O67, \" and Row \",O63, \". Col. J multiplies Col. L by sum of percentage shares of daily taxicab rides in various time blocks comprising 6 am - 8 pm period from Row \", O289, \". Col. K is arithmetic difference of 24h figure in Col. L and 6am-8pm figure in Col. J.\")","v":"Columns L & M are products of respective columns in Row 67 and Row 63. Col. J multiplies Col. L by sum of percentage shares of daily taxicab rides in various time blocks comprising 6 am - 8 pm period from Row 289. Col. K is arithmetic difference of 24h figure in Col. L and 6am-8pm figure in Col. J."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},null,"2016-10",350380]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71},null,"2016-11",336737]
[null,"Taxi ridership, millions (number of fare trips, not number of passengers) extrapolated to all of 2018",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N63*Constants!J7/1000000","v":108.77322416666665},{"$f":"ROW()","v":72},null,"2016-12",337071]
[null,{"$f":"CONCATENATE(\"Row \",O63, \" times # days in year, from 'Constants' tab.\")","v":"Row 63 times # days in year, from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73},null,"2017-01",313229]
[null,"Passengers per trip, baseline",null,null,null,null,null,null,null,null,null,1.4,1.5,null,{"$f":"ROW()","v":74},null,"2017-02",327451]
[null,{"$f":"CONCATENATE(\"Schaller 2006, p. 3: 'With an average of 1.4 passengers per trip …' NB: data collated by FareShare (see Row \",O274, \") suggest higher factors. Higher assumed weekend occupancy is Komanoff assumption intended to reflect families and other social groupings.\")","v":"Schaller 2006, p. 3: 'With an average of 1.4 passengers per trip …' NB: data collated by FareShare (see Row 274) suggest higher factors. Higher assumed weekend occupancy is Komanoff assumption intended to reflect families and other social groupings."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75},null,"2017-03",332075]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76},null,"2017-04",334865]
[null,"Taxi ridership, daily # of passengers, 2017",null,null,null,null,null,null,null,null,null,{"$f":"L69*L74","v":426924.59685779287},{"$f":"M69*M74","v":421577.21871576511},null,{"$f":"ROW()","v":77},null,"2017-05",325857]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O69, \" and \",O74, \".\")","v":"Product of Rows 69 and 74."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78},null,"2017-06",321877]
[null,"Share of taxi pickups occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"L79","v":0.63735266023347381},{"$f":"L79","v":0.63735266023347381},{"$f":"P250+P251","v":0.63735266023347381},{"$f":"L79","v":0.63735266023347381},null,{"$f":"ROW()","v":79},null,"2017-07",277042]
[null,{"$f":"CONCATENATE(\"Column L is sum of Rows \",O250, \" and \",O251, \". Other columns are from that cell.\")","v":"Column L is sum of Rows 250 and 251. Other columns are from that cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80},null,"2017-08",271676]
[null,"Share of taxi pickups occurring in entire northern part of Manhattan taxi zone extending to 110 St on W side and 96 St on E side",null,null,null,null,null,null,null,{"$f":"L81","v":0.21137483488803913},{"$f":"L81","v":0.21137483488803913},{"$f":"P252","v":0.21137483488803913},{"$f":"L81","v":0.21137483488803913},null,{"$f":"ROW()","v":81},null,"2017-09",298163]
[null,{"$f":"CONCATENATE(\"Column L is from Row \",O252, \". Other columns are from that cell.\")","v":"Column L is from Row 252. Other columns are from that cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82},null,"2017-10",315084]
[null,"Share of taxi pickups occurring in Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"L83","v":0.84872749512151291},{"$f":"L83","v":0.84872749512151291},{"$f":"L79+L81","v":0.84872749512151291},{"$f":"M79+M81","v":0.84872749512151291},null,{"$f":"ROW()","v":83},null,"2017-11",309471]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O81, \" and \",O79, \".\")","v":"Sum of Rows 81 and 79."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84},null,"2017-12",306706]
[null,"Share of taxi pickups occurring in main N part of Manhattan taxi zone (60-96 Streets)",null,null,null,null,null,null,null,{"$f":"L85","v":0.18495298052703424},{"$f":"L85","v":0.18495298052703424},{"$f":"L81*D257/(D257+D258)","v":0.18495298052703424},{"$f":"L85","v":0.18495298052703424},null,{"$f":"ROW()","v":85},null,"2018-01",282565,null,{"$f":"R85/R73-1","v":-9.7896427214593795E-2},{"$f":"R85/R61-1","v":-0.19683868840530272}]
[null,{"$f":"CONCATENATE(\"Row \",O81, \" prorated by ratio of 60-96 St pickups in Row \",O257, \" to sum of 60-96 and 96-110 St pickups in Rows \",O257,\" and \",O258, \".\")","v":"Row 81 prorated by ratio of 60-96 St pickups in Row 257 to sum of 60-96 and 96-110 St pickups in Rows 257 and 258."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86},null,"2018-02",303280,null,-7.3815624322417728E-2,-0.22725303844879863]
[null,"Share of taxi pickups occurring in N extension of Manhattan taxi zone (96-110 Streets, W side)",null,null,null,null,null,null,null,{"$f":"L87","v":2.6421854361004891E-2},{"$f":"L87","v":2.6421854361004891E-2},{"$f":"L81*D258/(D257+D258)","v":2.6421854361004891E-2},{"$f":"L87","v":2.6421854361004891E-2},null,{"$f":"ROW()","v":87},null,"2018-03",304169,null,-8.4035233004592369E-2,-0.22777402598721452]
[null,{"$f":"CONCATENATE(\"Row \",O81, \" prorated by ratio of 96-110 St pickups in Row \",O258, \" to sum of 60-96 and 96-110 St pickups in Rows \",O257,\" and \",O258, \".\")","v":"Row 81 prorated by ratio of 96-110 St pickups in Row 258 to sum of 60-96 and 96-110 St pickups in Rows 257 and 258."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88},null,"2018-04",310169,"Six-month avg, 1H 2018",-7.3749122780822129E-2,-0.22024988687214042]
[null,"Taxi pickups occurring in Manhattan CBD (baseline, rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J79*J$69,-2)","v":133500},{"$f":"ROUND(K79*K$69,-2)","v":60900},{"$f":"J89+K89","v":194400},{"$f":"ROUND(M79*M$69,-2)","v":179100},null,{"$f":"ROW()","v":89},null,"2018-05",297508,null,-8.6998284523579383E-2,-0.22093443455763362]
[null,{"$f":"CONCATENATE(\"Total rides in time period from Row \",$O$69, \" times geographical share of pickups in Row \",,O79, \".\")","v":"Total rides in time period from Row 69 times geographical share of pickups in Row 79."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90},null,"2018-06",290362,{"$f":"AVERAGE(R85:R90)","v":298008.83333333331},-9.7910071238392349E-2,-0.21789488144331282]
[null,"Taxi pickups occurring in main N part of Manhattan taxi zone (60-96 Streets) (baseline, rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J85*J$69,-2)","v":38700},{"$f":"ROUND(K85*K$69,-2)","v":17700},{"$f":"ROUND(L85*L$69,-2)","v":56400},{"$f":"ROUND(M85*M$69,-2)","v":52000},null,{"$f":"ROW()","v":91},null,"2018-07",253186,null,-8.6109687339825713E-2,-0.23792180741712843]
[null,{"$f":"CONCATENATE(\"Total rides in time period from Row \",$O$69, \" times geographical share of pickups in Row \",O85, \".\")","v":"Total rides in time period from Row 69 times geographical share of pickups in Row 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92},null,"Data are from file, TLC_data_reports_monthly_indicators_yellow (sent to Komanoff by TLC on 1-Oct-2018)"]
[null,"Taxi pickups occurring in N extension of Manhattan taxi zone (96-110 Streets, W side) (baseline, rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(J87*J$69,-2)","v":5500},{"$f":"ROUND(K87*K$69,-2)","v":2500},{"$f":"ROUND(L87*L$69,-2)","v":8100},{"$f":"ROUND(M87*M$69,-2)","v":7400},null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Total rides in time period from Row \",$O$69, \" times geographical share of pickups in Row \",O87, \".\")","v":"Total rides in time period from Row 69 times geographical share of pickups in Row 87."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Taxi pickups occurring outside taxi zone (baseline, rounded)",null,null,null,null,null,null,null,{"$f":"ROUND((1-J83)*J$69,-2)","v":31700},{"$f":"ROUND((1-K83)*K$69,-2)","v":14400},{"$f":"J95+K95","v":46100},{"$f":"ROUND((1-M83)*M$69,-2)","v":42500},null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Total rides in time period from Row \",$O$69, \" times complement of geographical share of pickups in Row \",,O83, \".\")","v":"Total rides in time period from Row 69 times complement of geographical share of pickups in Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Daily miles in CBD for taxi pickups occurring in Manhattan CBD (baseline)",null,null,null,null,null,null,null,{"$f":"J89*UberLyft!$C102","v":204255},{"$f":"K89*UberLyft!$C102","v":93177},{"$f":"J97+K97","v":297432},{"$f":"M89*UberLyft!$C102","v":274023},null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Product of pickups in Row \",O89, \" times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C\",UberLyft!O102, \". NB: UberLyft mileage figure is placeholder, may change in future.\")","v":"Product of pickups in Row 89 times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C102. NB: UberLyft mileage figure is placeholder, may change in future."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Daily miles in CBD for taxi pickups occurring in main N part of Manhattan taxi zone (60-96 Streets)",null,null,null,null,null,null,null,{"$f":"J91*UberLyft!$C131","v":59598},{"$f":"K91*UberLyft!$C131","v":27258},{"$f":"J99+K99","v":86856},{"$f":"M91*UberLyft!$C131","v":80080},null,{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"Product of pickups in Row \",O91, \" times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C\",UberLyft!O134, \". NB: UberLyft mileage figure is placeholder, may change in future.\")","v":"Product of pickups in Row 91 times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C134. NB: UberLyft mileage figure is placeholder, may change in future."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Daily miles in CBD for taxi pickups occurring in N extension of Manhattan taxi zone (96-110 Streets, W side)",null,null,null,null,null,null,null,{"$f":"J93*UberLyft!$C160","v":6930},{"$f":"K93*UberLyft!$C160","v":3150},{"$f":"J101+K101","v":10080},{"$f":"M93*UberLyft!$C160","v":9324},null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Product of pickups in Row \",O93, \" times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C\",UberLyft!O160, \". NB: UberLyft mileage figure is placeholder, may change in future.\")","v":"Product of pickups in Row 93 times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C160. NB: UberLyft mileage figure is placeholder, may change in future."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Daily miles in CBD for taxi pickups occurring outside Manhattan taxi zone outside of CBD (baseline)",null,null,null,null,null,null,null,{"$f":"J95*UberLyft!$C189","v":14958.968240053851},{"$f":"K95*UberLyft!$C189","v":6795.2410932736739},21754.209333327526,{"$f":"M95*UberLyft!$C189","v":20055.399060009106},null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Product of pickups in Row \",O95, \" times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C\",UberLyft!O189, \". NB: UberLyft mileage figure is placeholder, may change in future.\")","v":"Product of pickups in Row 95 times estimated CBD miles for UberLyfts, shown in 'UberLyft' tab, Cell C189. NB: UberLyft mileage figure is placeholder, may change in future."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Daily miles in CBD for all taxi pickups (baseline)",null,null,null,null,null,null,null,{"$f":"SUM(J97:J103)","v":285741.96824005386},{"$f":"SUM(K97:K103)","v":130380.24109327367},416122.20933332754,{"$f":"SUM(M97:M103)","v":383482.39906000911},null,{"$f":"ROW()","v":105}]
[null,"Sum of four prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Daily miles in CBD for all taxi pickups, including cruising (baseline)",null,null,null,null,null,null,null,{"$f":"J105*$L202","v":439603.0280616213},{"$f":"K105*$L202","v":200584.98629734409},640188.01435896545,{"$f":"M105*M202","v":589972.92163078324},null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Row \",O105, \" multiplied by factor in Row \",O202, \" that adds baseline cruising percentage to fare miles.\")","v":"Row 105 multiplied by factor in Row 202 that adds baseline cruising percentage to fare miles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,{"$f":"CONCATENATE(\"Taxi price-elasticity is increased from its base value if most of the taxi price increase is expressed via 'the drop' -- the initial charge -- rather than thu time or mileage charges. Cell H\",O111,\" is the threshold figure used in the model. If the drop equals or exceeds that amount, the model applies the higher price-elasticity.\")","v":"Taxi price-elasticity is increased from its base value if most of the taxi price increase is expressed via 'the drop' -- the initial charge -- rather than thu time or mileage charges. Cell H111 is the threshold figure used in the model. If the drop equals or exceeds that amount, the model applies the higher price-elasticity."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,2,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan CBD, due to surcharge",null,null,null,null,null,null,null,{"$f":"(1+'Taxi Farecalcs'!I110)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.90038520887915396},{"$f":"(1+'Taxi Farecalcs'!W110)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.87042136270095793},null,{"$f":"(1+'Taxi Farecalcs'!AG110)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.93354747004035532},null,{"$f":"ROW()","v":115}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone up to 96 St, due to surcharge ",null,null,null,null,null,null,null,{"$f":"(1+'Taxi Farecalcs'!I131)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.9220812735429591},{"$f":"(1+'Taxi Farecalcs'!W131)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.89357538293777083},null,{"$f":"(1+'Taxi Farecalcs'!AG131)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.94139245465788601},null,{"$f":"ROW()","v":116}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side), due to surcharge ",null,null,null,null,null,null,null,{"$f":"(1+'Taxi Farecalcs'!I152)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.91419214163482376},{"$f":"(1+'Taxi Farecalcs'!W152)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.89203123589988698},null,{"$f":"(1+'Taxi Farecalcs'!AG152)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.9376811802876005},null,{"$f":"ROW()","v":117}]
[null,"Demand mutiplier for taxi pickups occurring outside the Manhattan taxi zone, due to surcharge",null,null,null,null,null,null,null,{"$f":"(1+'Taxi Farecalcs'!I173)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.95771247612172883},{"$f":"(1+'Taxi Farecalcs'!W173)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.95243383034165885},null,{"$f":"(1+'Taxi Farecalcs'!AG173)^IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":0.97389748331528947},null,{"$f":"ROW()","v":118}]
[null,{"$f":"CONCATENATE(\"Figures in 4 preceding rows are calculated by exponentiating Rows \",'Taxi Farecalcs'!O110, \", \",'Taxi Farecalcs'!O131, \", \",'Taxi Farecalcs'!O152, \" and \",'Taxi Farecalcs'!O173, \" from 'Taxi Farecalcs' tab to the taxi price-elasticity figure in Row \",Elasticities!O68, \" of 'Elasticities' worksheet.\")","v":"Figures in 4 preceding rows are calculated by exponentiating Rows 110, 131, 152 and 173 from 'Taxi Farecalcs' tab to the taxi price-elasticity figure in Row 68 of 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan CBD, due to speed change",null,null,null,null,null,null,null,{"$f":"(1/(1+'Taxi Farecalcs'!D110))^Elasticities!$G$69","v":1.1260612614829553},{"$f":"(1/(1+'Taxi Farecalcs'!R110))^Elasticities!$G$69","v":1.0587137275516583},null,{"$f":"(1/(1+'Taxi Farecalcs'!AB111))^Elasticities!$G$69","v":1},null,{"$f":"ROW()","v":120}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone up to 96 St, due to speed change",null,null,null,null,null,null,null,{"$f":"(1/(1+'Taxi Farecalcs'!D131))^Elasticities!$G$69","v":1.1137864415302678},{"$f":"(1/(1+'Taxi Farecalcs'!R131))^Elasticities!$G$69","v":1.051954378305737},null,{"$f":"(1/(1+'Taxi Farecalcs'!AB131))^Elasticities!$G$69","v":1.0639303551348367},null,{"$f":"ROW()","v":121}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side), due to speed change",null,null,null,null,null,null,null,{"$f":"(1/(1+'Taxi Farecalcs'!D152))^Elasticities!$G$69","v":1.1061043812946743},{"$f":"(1/(1+'Taxi Farecalcs'!R152))^Elasticities!$G$69","v":1.0475839912014815},null,{"$f":"(1/(1+'Taxi Farecalcs'!AB152))^Elasticities!$G$69","v":1.0299724366840686},null,{"$f":"ROW()","v":122}]
[null,"Demand mutiplier for taxi pickups occurring outside the Manhattan taxi zone, due to speed change",null,null,null,null,null,null,null,{"$f":"(1/(1+'Taxi Farecalcs'!D173))^Elasticities!$G$69","v":1.0316822090529567},{"$f":"(1/(1+'Taxi Farecalcs'!R173))^Elasticities!$G$69","v":1.0225719489666578},null,{"$f":"(1/(1+'Taxi Farecalcs'!AB173))^Elasticities!$G$69","v":1.0369501970859798},null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Figures in 4 preceding rows are calculated by exponentiating Rows \",'Taxi Farecalcs'!O110, \", \",'Taxi Farecalcs'!O131, \", \",'Taxi Farecalcs'!O152, \" and \",'Taxi Farecalcs'!O173, \" from 'Taxi Farecalcs' tab to the taxi time-elasticity figure in Row \",Elasticities!O69, \" of 'Elasticities' worksheet.\")","v":"Figures in 4 preceding rows are calculated by exponentiating Rows 110, 131, 152 and 173 from 'Taxi Farecalcs' tab to the taxi time-elasticity figure in Row 69 of 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Combined demand mutipliers for taxi pickups due to surcharge + speed change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan CBD, due to surcharge",null,null,null,null,null,null,null,{"$f":"J115*J120","v":1.0138889041310544},0.92152704544572506,null,{"$f":"M115*M120","v":0.93354747004035532},null,{"$f":"ROW()","v":126}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone up to 96 St, due to surcharge",null,null,null,null,null,null,null,1.0270016204611099,0.94000053642761361,null,{"$f":"M116*M121","v":1.0015760086054204},null,{"$f":"ROW()","v":127}]
[null,"Demand mutiplier for taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side), due to surcharge",null,null,null,null,null,null,null,1.0111919332074399,0.93447764238039388,null,{"$f":"M117*M122","v":0.96578577009361333},null,{"$f":"ROW()","v":128}]
[null,"Demand mutiplier for taxi pickups occurring outside the Manhattan taxi zone, due to surcharge",null,null,null,null,null,null,null,{"$f":"J118*J123","v":0.98805492300284226},0.97393211815424918,null,{"$f":"M118*M123","v":1.0098831872653291},null,{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Each row is product of corresponding Rows \",O115, \"-\",O118, \" and \",O120, \"-\",O123, \".\")","v":"Each row is product of corresponding Rows 115-118 and 120-123."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Daily miles in CBD for taxi pickups occurring in Manhattan CBD (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J97*J126","v":207091.87811328852},{"$f":"K97*K126","v":85865.125513496328},{"$f":"J131+K131","v":292957.00362678483},{"$f":"M97*M126","v":255813.47838286828},null,{"$f":"ROW()","v":131}]
[null,{"$f":"CONCATENATE(\"Baseline miles in Row \",O97, \" times demand multiplier due to surcharge in Row \",O126, \".\")","v":"Baseline miles in Row 97 times demand multiplier due to surcharge in Row 126."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Daily miles in CBD for taxi pickups occurring in Manhattan taxi zone up to 96 St (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J99*J127","v":61207.242576241224},{"$f":"K99*K127","v":25622.534621943891},{"$f":"J133+K133","v":86829.777198185111},{"$f":"M99*M127","v":80206.206769122073},null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"Baseline miles in Row \",O99, \" times demand multiplier due to surcharge in Row \",O127, \".\")","v":"Baseline miles in Row 99 times demand multiplier due to surcharge in Row 127."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Daily miles in CBD for taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side) (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J101*J128","v":7007.5600971275589},{"$f":"K101*K128","v":2943.6045734982408},{"$f":"J135+K135","v":9951.1646706257998},{"$f":"M101*M128","v":9004.9865203528498},null,{"$f":"ROW()","v":135}]
[null,{"$f":"CONCATENATE(\"Baseline miles in Row \",O101, \" times demand multiplier due to surcharge in Row \",O128, \".\")","v":"Baseline miles in Row 101 times demand multiplier due to surcharge in Row 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Daily miles in CBD for taxi pickups occurring outside Manhattan taxi zone outside of CBD (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J103*J129","v":14780.28221262837},{"$f":"K103*K129","v":6618.1035513408251},{"$f":"J137+K137","v":21398.385763969196},{"$f":"M103*M129","v":20253.610324600082},null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"Baseline miles in Row \",O103, \" times demand multiplier due to surcharge in Row \",O129, \".\")","v":"Baseline miles in Row 103 times demand multiplier due to surcharge in Row 129."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Daily miles in CBD for all taxi pickups (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"SUM(J131:J137)","v":290086.96299928566},{"$f":"SUM(K131:K137)","v":121049.3682602793},{"$f":"J139+K139","v":411136.33125956496},{"$f":"SUM(M131:M137)","v":365278.28199694329},null,{"$f":"ROW()","v":139}]
[null,"Sum of three prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Daily miles in CBD for all taxi pickups, including cruising (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J139/(1-$L$194)","v":446287.63538351638},{"$f":"K139/(1-$L$194)","v":186229.79732350662},{"$f":"J141+K141","v":632517.43270702299},{"$f":"M139/(1-$L$194)","v":561966.58768760506},null,{"$f":"ROW()","v":141}]
[null,{"$f":"CONCATENATE(\"Row \",O139, \" divided by complement of with-surcharge cruising percentage in Row \",O194, \".\")","v":"Row 139 divided by complement of with-surcharge cruising percentage in Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Daily miles in CBD, after vs. before, factor",null,null,null,null,null,null,null,{"$f":"J141/J107","v":1.0152060083647969},{"$f":"K141/K107","v":0.92843338258349228},{"$f":"L141/L107","v":0.98801823608081263},{"$f":"M141/M107","v":0.952529458698267},null,{"$f":"ROW()","v":143}]
[null,{"$f":"CONCATENATE(\"Row \",O141, \" divided by Row \",O107, \".\")","v":"Row 141 divided by Row 107."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Daily miles in CBD, after vs. before, number",null,null,null,null,null,null,null,{"$f":"J141-J107","v":6684.6073218950769},{"$f":"K141-K107","v":-14355.188973837474},{"$f":"L141-L107","v":-7670.5816519424552},{"$f":"M141-M107","v":-28006.333943178179},null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Row \",O141, \" less Row \",O107, \".\")","v":"Row 141 less Row 107."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Part F. Surcharge-Revenue Estimates",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Taxi pickups occurring in Manhattan CBD (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J89*J126,-2)","v":135400},{"$f":"ROUND(K89*K126,-2)","v":56100},{"$f":"J151+K151","v":191500},{"$f":"ROUND(M89*M126,-2)","v":167200},null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O89, \" multiplied by combined demand multiple in Row \",O126, \".\")","v":"Baseline pickups in Row 89 multiplied by combined demand multiple in Row 126."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Taxi pickups occurring in Manhattan taxi zone up to 96 St (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"ROUND(J91*J127,-2)","v":39700},{"$f":"ROUND(K91*K127,-2)","v":16600},{"$f":"J153+K153","v":56300},{"$f":"ROUND(M91*M127,-2)","v":52100},null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O91, \" multiplied by combined demand multiple in Row \",O127, \".\")","v":"Baseline pickups in Row 91 multiplied by combined demand multiple in Row 127."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side) (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"ROUND(J93*J128,-2)","v":5600},{"$f":"ROUND(K93*K128,-2)","v":2300},{"$f":"J155+K155","v":7900},{"$f":"ROUND(M93*M128,-2)","v":7100},null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O93, \" multiplied by combined demand multiple in Row \",O128, \".\")","v":"Baseline pickups in Row 93 multiplied by combined demand multiple in Row 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Taxi pickups occurring outside Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J95*J129,-2)","v":31300},{"$f":"ROUND(K95*K129,-2)","v":14000},{"$f":"J157+K157","v":45300},{"$f":"ROUND(M95*M129,-2)","v":42900},null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O95, \" multiplied by combined demand multiple in Row \",O129, \".\")","v":"Baseline pickups in Row 95 multiplied by combined demand multiple in Row 129."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Total taxi pickups (with pricing)",null,null,null,null,null,null,null,{"$f":"SUM(J151:J157)","v":212000},{"$f":"SUM(K151:K157)","v":89000},{"$f":"J159+K159","v":301000},{"$f":"SUM(M151:M157)","v":269300},null,{"$f":"ROW()","v":159}]
[null,"Sum of three prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Surcharge revenue per taxi pickup occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"'Taxi Farecalcs'!J111","v":4.4055},{"$f":"'Taxi Farecalcs'!X111","v":3.8331242991231109},null,{"$f":"'Taxi Farecalcs'!AH111","v":2.2152162567067455},null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"From 'Taxi Farecalcs' tab, Row \",'Taxi Farecalcs'!O111, \".\")","v":"From 'Taxi Farecalcs' tab, Row 111."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Surcharge revenue per taxi pickup occurring in Manhattan taxi zone up to 96 St",null,null,null,null,null,null,null,{"$f":"'Taxi Farecalcs'!J132","v":4.4055},{"$f":"'Taxi Farecalcs'!X132","v":3.8331242991231109},null,{"$f":"'Taxi Farecalcs'!AH132","v":2.2152162567067455},null,{"$f":"ROW()","v":163}]
[null,{"$f":"CONCATENATE(\"From 'Taxi Farecalcs' tab, Row \",'Taxi Farecalcs'!O132, \".\")","v":"From 'Taxi Farecalcs' tab, Row 132."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Surcharge revenue per taxi pickup occurring in Manhattan taxi zone N extension (96 St to 110 St, W side) ",null,null,null,null,null,null,null,{"$f":"'Taxi Farecalcs'!J153","v":4.4055},{"$f":"'Taxi Farecalcs'!X153","v":3.8331242991231109},null,{"$f":"'Taxi Farecalcs'!AH153","v":2.2152162567067455},null,{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"From 'Taxi Farecalcs' tab, Row \",'Taxi Farecalcs'!O153, \".\")","v":"From 'Taxi Farecalcs' tab, Row 153."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Surcharge revenue per taxi pickup occurring outside Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"'Taxi Farecalcs'!J174","v":4.4055},{"$f":"'Taxi Farecalcs'!X174","v":3.8331242991231109},null,{"$f":"'Taxi Farecalcs'!AH174","v":2.2152162567067455},null,{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"From 'Taxi Farecalcs' tab, Row \",'Taxi Farecalcs'!O174, \".\")","v":"From 'Taxi Farecalcs' tab, Row 174."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Daily surcharge revenues for taxi pickups occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"ROUND(J151*J161,-2)","v":596500},{"$f":"ROUND(K151*K161,-2)","v":215000},null,{"$f":"ROUND(M151*M161,-2)","v":370400},null,{"$f":"ROW()","v":169}]
[null,{"$f":"CONCATENATE(\"Row \",O151, \" times Row \",,O161, \".\")","v":"Row 151 times Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Daily surcharge revenues for taxi pickups occurring in Manhattan taxi zone up to 96 St",null,null,null,null,null,null,null,{"$f":"ROUND(J153*J163,-2)","v":174900},{"$f":"ROUND(K153*K163,-2)","v":63600},null,{"$f":"ROUND(M153*M163,-2)","v":115400},null,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"Row \",O153, \" times Row \",,O163, \".\")","v":"Row 153 times Row 163."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Daily surcharge revenues for taxi pickups occurring in Manhattan taxi zone N extension (96 St to 110 St, W side) ",null,null,null,null,null,null,null,{"$f":"ROUND(J155*J165,-2)","v":24700},{"$f":"ROUND(K155*K165,-2)","v":8800},null,{"$f":"ROUND(M155*M165,-2)","v":15700},null,{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"Row \",O155, \" times Row \",,O165, \".\")","v":"Row 155 times Row 165."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"Daily surcharge revenue for taxi pickups occurring outside Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"ROUND(J157*J167,-2)","v":137900},{"$f":"ROUND(K157*K167,-2)","v":53700},null,{"$f":"ROUND(M157*M167,-2)","v":95000},null,{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Row \",O157, \" times Row \",,O167, \".\")","v":"Row 157 times Row 167."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Total daily taxi surcharge revenue",null,null,null,null,null,null,null,{"$f":"SUM(J169:J175)","v":934000},{"$f":"SUM(K169:K175)","v":341100},null,{"$f":"SUM(M169:M175)","v":596500},null,{"$f":"ROW()","v":177}]
[null,"Sum of three prior data rows.",null,null,null,null,null,null,null,"Above figures are converted to annual $$ in 'Revenues' worksheet.",null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Number of medallion taxicabs, baseline",null,null,null,null,null,null,null,null,"More Medallions",13587,{"$f":"L180","v":13587},null,{"$f":"ROW()","v":180}]
[null,"(From multiple/diverse sources. Note that Schaller 2006 says 12,779 (op. cit., Introduction), but nearly 500 were subsequently added. Includes 350 medallions auctioned by NYC during Nov 2013 - Feb 2014, pursuant to Dec. 2011 NYS law granting authority to expand taxi fleet by 2,000 medallion. To model impacts of authorizing more medallion taxis, click \"More Medallions\" link two rows above):",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Number of fares per shift, baseline",null,null,null,null,null,null,null,null,null,20,{"$f":"L183","v":20},null,{"$f":"ROW()","v":183}]
[null,"Schaller 2006, p. 48, said 30. We have reduced, to reflect decline in yellow taxi sector.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Shifts per day per medallion taxi, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L69/(L180*L183)","v":1.1221982064205094},{"$f":"M69/(M180*M183)","v":1.0342661335977161},null,{"$f":"ROW()","v":185}]
[null,{"$f":"CONCATENATE(\"Taxi ridership in Row \",O69, \", divided by product of number of medallion cabs in Row \",O180, \" and number of fares per shift in Row \",O183, \".\")","v":"Taxi ridership in Row 69, divided by product of number of medallion cabs in Row 180 and number of fares per shift in Row 183."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Average trip length, miles",null,null,null,null,null,null,null,null,null,{"$f":"$G261","v":2.6860000000000004},{"$f":"$G261","v":2.6860000000000004},null,{"$f":"ROW()","v":187},{"$f":"CONCATENATE(\"Tip-excluded figures at left in Row \",O190, \" are less than suggested in WSJ, May 22, 2012, 'Taxi Industry Asks for Fares To Be Raised,' by Ted Mann: 'The average \" & \" taxi ride costs $11.82, according to the most recently compiled TLC data, and runs about 2.75 miles.' WSJ figures are pre-2012 hike, whereas figures at left are post-hike. However, \" & \"WSJ figure appears consistent with tip-included figures in Row [was Ubers!O155].\")","v":"Tip-excluded figures at left in Row 190 are less than suggested in WSJ, May 22, 2012, 'Taxi Industry Asks for Fares To Be Raised,' by Ted Mann: 'The average  taxi ride costs $11.82, according to the most recently compiled TLC data, and runs about 2.75 miles.' WSJ figures are pre-2012 hike, whereas figures at left are post-hike. However, WSJ figure appears consistent with tip-included figures in Row [was Ubers!O155]."}]
[null,{"$f":"CONCATENATE(\"Derived in Row \",O261, \", and confirmed in Schaller 2006, p. 16. Note also that TLC EIS referenced in Rows \",O70, \"-\",O73, \" has: 'The average distance of a taxi revenue trip ... increased ... from 2.72 miles per trip [in 2009] to 2.79 miles per trip [in 2011].' p. 65/425.\")","v":"Derived in Row 261, and confirmed in Schaller 2006, p. 16. Note also that TLC EIS referenced in Rows 70-73 has: 'The average distance of a taxi revenue trip ... increased ... from 2.72 miles per trip [in 2009] to 2.79 miles per trip [in 2011].' p. 65/425."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Estimated revenue for trip of average length, 2017, w/o tips",null,null,null,null,null,null,null,null,null,{"$f":"'Taxi Farecalcs'!J96","v":10.362838255010779},{"$f":"'Taxi Farecalcs'!J97","v":0.17615144886006229},null,{"$f":"ROW()","v":190}]
[null,{"$f":"CONCATENATE(\"From 'Taxi Farecalcs' tab, Rows \",'Taxi Farecalcs'!O$96, \" and \",'Taxi Farecalcs'!O$97, \", respectively, Column J.\")","v":"From 'Taxi Farecalcs' tab, Rows 96 and 97, respectively, Column J."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Average trip length for taxi trips that don't relate to CBD, miles",null,null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT(G256:G260,I256:I260,D256:D260)/I261","v":5.1959044368600686},{"$f":"L192","v":5.1959044368600686},null,{"$f":"ROW()","v":192}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$252, \"-\",$O$261, \"), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 252-261), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Percentage of taxi VMT spent cruising",null,null,null,null,null,null,null,null,null,0.35,{"$f":"L194","v":0.35},null,{"$f":"ROW()","v":194}]
[null,"Schaller, \"Empty Seats, Full Streets\" (Dec. 2017), p. 6. Note that earlier Schaller (p. 19) had \"39% of total cab mileage, a total of 314 million miles, was spent cruising for passengers in 2005.\" ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Assumed average trip length for taxi trips beginning and/or ending in CBD, miles",null,null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT(G256:G260,H256:H260,D256:D260)/H261","v":2.1494590980916501},{"$f":"L196","v":2.1494590980916501},null,{"$f":"ROW()","v":196},"\"From August 2013 through April of this year, yellow taxis took in $2.04 billion in fares and tips, up 1% from $2.01 billion from August 2012 to April 2013, according to the [Taxi & Limousine] commission.\" WSJ, \"Green Taxis Gaining Ground in New York City: Commission Says the Vehicles Now Make Over 43,000 Trips a Day,\" June 19, 2014, http://online.wsj.com/articles/green-taxis-gaining-ground-in-new-york-city-1403145481."]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$252, \"-\",$O$261, \"), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 252-261), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Of which CBD portion, in miles, is:",null,null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT(G256:G260,E256:E260,H256:H260,D256:D260)/H261","v":1.6239562416433695},{"$f":"L198","v":1.6239562416433695},null,{"$f":"ROW()","v":198}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$252, \"-\",$O$261, \"), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 252-261), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Percentage of taxi VMT in CBD spent with fares (passengers)",null,null,null,null,null,null,null,null,null,{"$f":"1-L194","v":0.65},{"$f":"L200","v":0.65},null,{"$f":"ROW()","v":200}]
[null,{"$f":"CONCATENATE(\"Complement of percentage in Row \",O194, \".\")","v":"Complement of percentage in Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Multiplier to fare miles to include cruising miles and therefore calculate total taxi miles",null,null,null,null,null,null,null,null,null,{"$f":"1/L200","v":1.5384615384615383},{"$f":"1/M200","v":1.5384615384615383},null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"Reciprocal of percentage in Row \",O200, \".\")","v":"Reciprocal of percentage in Row 200."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Loaded miles (fare miles + cruising miles) per fare trip",null,null,null,null,null,null,null,null,null,{"$f":"L202*L187","v":4.1323076923076929},{"$f":"M202*M187","v":4.1323076923076929},null,{"$f":"ROW()","v":204}]
[null,{"$f":"CONCATENATE(\"Product of average fare-trip length in Row \",O187,\" and cruising-to-fare multiplier in Row \",O202, \".\")","v":"Product of average fare-trip length in Row 187 and cruising-to-fare multiplier in Row 202."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"Ratio, avg miles for non-CBD trips to avg miles for CBD trips: ",null,null,null,null,null,null,null,null,null,{"$f":"L192/L196","v":2.4173078899119957},{"$f":"M192/M196","v":2.4173078899119957},null,{"$f":"ROW()","v":206}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O192, \" to Row \",O196, \".\")","v":"Ratio of Row 192 to Row 196."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Estimated % of all taxi miles that occur w/i CBD",null,null,null,null,null,null,null,null,null,{"$f":"E261","v":0.59867460908414005},{"$f":"L208","v":0.59867460908414005},null,{"$f":"ROW()","v":208}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$252, \"-\",$O$261, \"), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 252-261), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"Estimated % of all taxi miles that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"F261","v":0.69194341027550255},{"$f":"L210","v":0.69194341027550255},null,{"$f":"ROW()","v":210}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$252, \"-\",$O$261, \"), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 252-261), below, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Average taxi speed within CBD, as ratio to average taxi speed outside CBD",null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!K205/'Motor Vs'!K221","v":0.37994631122759359},{"$f":"'Motor Vs Weekends'!K205/'Motor Vs Weekends'!K221","v":0.3400059611188993},null,{"$f":"ROW()","v":212}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' (or 'Motor Vs Weeends') tabs, Rows \",'Motor Vs'!O205, \" & \",'Motor Vs'!O221, \". Values are pre-pricing and are 24h (more consistent w/ taxi use cycles than 8am-6pm only).\")","v":"From 'Motor Vs' (or 'Motor Vs Weeends') tabs, Rows 205 & 221. Values are pre-pricing and are 24h (more consistent w/ taxi use cycles than 8am-6pm only)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Estimated % of taxi wait-time charges that occur w/i CBD",null,null,null,null,null,null,null,null,null,{"$f":"(L208*1/L$212)/((L208*1/L$212)+(1-L208))","v":0.79700360836203665},{"$f":"(M208*1/M$212)/((M208*1/M$212)+(1-M208))","v":0.81438185848971911},null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O208, \" and \",O$212, \", based on premise that wait-time incidence is inversely proportional to average travel speed.\")","v":"Algebra on Rows 208 and 212, based on premise that wait-time incidence is inversely proportional to average travel speed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Unadjusted estimated % of taxi wait-time charges that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"(L210*1/L$212)/((L210*1/L$212)+(1-L210))","v":0.85531934882551597},{"$f":"(M210*1/M$212)/((M210*1/M$212)+(1-M210))","v":0.86852878578846504},null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O210, \" and \",O$212, \", based on same premise on wait-time incidence in Row \",O215, \", and on addit'l premise that 60th-96th Street speeds match CBD's.\")","v":"Algebra on Rows 210 and 212, based on same premise on wait-time incidence in Row 215, and on addit'l premise that 60th-96th Street speeds match CBD's."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Adjusted % of taxi wait-time charges that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"98%*L216","v":0.83821296184900562},{"$f":"98%*M216","v":0.85115821007269576},null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"Row \",O216, \" figures reduced by 2 percent to correct for slight upward bias in second premise in Row \",O217, \".\")","v":"Row 216 figures reduced by 2 percent to correct for slight upward bias in second premise in Row 217."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Estimated total miles of different taxi fare trips (excludes cruising)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Entirely w/i CBD",null,null,null,{"$f":"CONCATENATE(\"See Row \",$O$197, \" note.\")","v":"See Row 197 note."},null,null,null,null,null,{"$f":"SUMPRODUCT(G256:G260,J256:J260,D256:D260)/J261","v":1.7999999999999998},{"$f":"L221","v":1.7999999999999998},null,{"$f":"ROW()","v":221}]
[null,"Entirely w/o CBD",null,null,null,{"$f":"CONCATENATE(\"See Row \",$O$197, \" note.\")","v":"See Row 197 note."},null,null,null,null,null,{"$f":"SUMPRODUCT(G256:G260,I256:I260,D256:D260)/I261","v":5.1959044368600686},{"$f":"L222","v":5.1959044368600686},null,{"$f":"ROW()","v":222}]
[null,"Origin or destination in CBD but not both",null,null,null,{"$f":"CONCATENATE(\"Calculated algebraically from Rows \",O221,\",\", O222,\", \",O261, \" and \",O187, \".\")","v":"Calculated algebraically from Rows 221,222, 261 and 187."},null,null,null,null,null,{"$f":"(L187-J261*L221-I261*L222)/(1-J261-I261)","v":3.1619227144203603},{"$f":"L223","v":3.1619227144203603},null,{"$f":"ROW()","v":223}]
[null,"Average number of loaded miles (w/ cruising) that are driven inside the CBD, per trip",null,null,null,null,null,null,"These cells are used in traffic modeling in 'Motor Vs' and \"Motor Vs Weekends' tabs and do not figure directly into taxi results.",null,null,{"$f":"L208*L204","v":2.473907692307693},{"$f":"L224","v":2.473907692307693},null,{"$f":"ROW()","v":224}]
[null,{"$f":"CONCATENATE(\"Product of loaded miles per trip Row \",O204,\" and % of all taxi miles that occur w/i CBD in Row \",O208, \".\")","v":"Product of loaded miles per trip Row 204 and % of all taxi miles that occur w/i CBD in Row 208."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,"Average number of loaded miles that are driven outside CBD, per trip",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(100*(L204-L224),0)/100","v":1.66},{"$f":"L226","v":1.66},null,{"$f":"ROW()","v":226}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O204,\" and \",O224, \".\")","v":"Difference between Rows 204 and 224."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"VMT of leaving-cordon taxi trips as % of VMT of entering-cordon trips ",null,null,null,null,null,null,null,null,null,0.75,{"$f":"L228","v":0.75},null,{"$f":"ROW()","v":228}]
[null,"Komanoff est., predicated on more direct end-of-shift exit.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Aggregate taxi fare-miles (with paying passenger), baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L69*$G261","v":819085.3336857371},{"$f":"M69*$G261","v":754904.27298036346},null,{"$f":"ROW()","v":230}]
[null,{"$f":"CONCATENATE(\"Product of daily fare trips in Row \",O69,\" and average length of fare trips in Row \",O261, \".\")","v":"Product of daily fare trips in Row 69 and average length of fare trips in Row 261."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Aggregate taxi miles spent cruising, baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L194/L200*L230","v":441045.94890770456},{"$f":"M194/M200*M230","v":406486.91622019571},null,{"$f":"ROW()","v":232}]
[null,{"$f":"CONCATENATE(\"Product of ratio of taxi VMT spent cruising in Row \",O194,\" to taxi fare VMT in Row \",O200, \", and total taxi VMT with fares in Row \",O230, \".\")","v":"Product of ratio of taxi VMT spent cruising in Row 194 to taxi fare VMT in Row 200, and total taxi VMT with fares in Row 230."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Aggregate taxi miles (cruising plus paying passenger), baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L230+L232","v":1260131.2825934417},{"$f":"M230+M232","v":1161391.1892005592},null,{"$f":"ROW()","v":234}]
[null,{"$f":"CONCATENATE(\"Sum of baseline fare miles in Row \",O230, \" and baseline cruising miles in Row \",O232, \".\")","v":"Sum of baseline fare miles in Row 230 and baseline cruising miles in Row 232."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"% of medallion taxi fares that breach cordon zone (inward direction), baseline",null,null,null,null,null,null,null,null,null,{"$f":"1/3*(H261-J261)","v":7.0233333333333287E-2},{"$f":"L236","v":7.0233333333333287E-2},null,{"$f":"ROW()","v":236}]
[null,{"$f":"CONCATENATE(\"Calculated as half of difference between % of trips that relate to CBD (Cell H\",O261, \", below) and % of trips solely within CBD (Cell J\",O261, \").\")","v":"Calculated as half of difference between % of trips that relate to CBD (Cell H261, below) and % of trips solely within CBD (Cell J261)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Number of times a day that medallion taxicabs breach cordon zone (inward direction) with a fare, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L236*L69","v":21417.38394236593},{"$f":"M236*M69","v":19739.182218535923},null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O236, \" and \",O69,\" (daily avg ridership).\")","v":"Product of Rows 236 and 69 (daily avg ridership)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,{"$f":"CONCATENATE(\"% of medallion cab shifts that begin by breaching cordon zone inward w/o fare (so not counted in Row \",O238, \"), baseline.\")","v":"% of medallion cab shifts that begin by breaching cordon zone inward w/o fare (so not counted in Row 238), baseline."},null,null,null,null,null,null,null,null,null,{"$f":"3/4","v":0.75},{"$f":"L240","v":0.75},null,{"$f":"ROW()","v":240}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,{"$f":"CONCATENATE(\"No. of medallion cabs that breach cordon zone inward at shift start w/o fare (so not counted in Row \",O238, \"), baseline.\")","v":"No. of medallion cabs that breach cordon zone inward at shift start w/o fare (so not counted in Row 238), baseline."},null,null,null,null,null,null,null,null,null,{"$f":"$L180*L185*L240","v":11435.480272976594},{"$f":"$L180*M185*M240","v":10539.430467894126},null,{"$f":"ROW()","v":242}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O180, \" (number of medallion taxis), \",O185, \" (adj'd shifts per cab per day) and \",O240, \".\")","v":"Product of Rows 180 (number of medallion taxis), 185 (adj'd shifts per cab per day) and 240."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Total number of medallion taxicab trips into charging zone, per day, baseline; includes fare trips and non-fare trips alike.",null,null,null,null,null,null,null,null,null,{"$f":"L238+L242","v":32852.864215342524},{"$f":"M238+M242","v":30278.61268643005},null,{"$f":"ROW()","v":244}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O238, \" and \",O242, \".\")","v":"Sum of Rows 238 and 242."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"Number of taxi fare trips per taxi trips entering CBD, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L69/L244","v":9.2821782178217873},{"$f":"M69/M244","v":9.2821782178217855},null,{"$f":"ROW()","v":246}]
[null,{"$f":"CONCATENATE(\"Quotient of Rows \",O69, \" (daily avg ridership) and \",O244, \".\")","v":"Quotient of Rows 69 (daily avg ridership) and 244."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248},"Trip pickup data in box below match data in blue column at left rather closely. -- CK, 17-Dec-2017"]
[null,"Part C. Geographical Distribution of Taxi Fare VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249},null,null,null,null,null,null,null,null,null,null,null,null,"Midtown (30-60 Streets)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250},{"$f":"Q250/$Q$256","v":0.35301646548490112},111980,"South of 30th Street",null,null,null,null,null,null,null,null,null,"South of 30th Street"]
[null,null,null,"Trips","Miles","Miles","Distances","Trips","Trips","Trips","Trips","Trips",null,null,{"$f":"ROW()","v":251},0.28433619474857269,90194,"Midtown (30-60 Streets)",null,null,null,null,null,null,null,null,null,"60th-96th Streets"]
[null,null,"C","D","E","F","G","H","I","J","K","L",null,null,{"$f":"ROW()","v":252},0.21137483488803913,67050,"60th-96th Streets",null,null,null,null,null,null,null,null,null,"Outer boroughs"]
[null,null,"Zone\nof Trip\nOrigin","% of fare trips that begin in zone shown","% of trips' miles that are w/i CBD","% of trips' miles that are S of 110 / 96 St","Average\ntrip\ndistance ","% of fare trips with some CBD VMT","% of fare trips with zero CBD VMT","% of fare trips entirely w/i CBD ","% of fare trips with some taxi zone VMT (110/96)","% of fare trips entirely w/i taxi zone  (110/96)",null,null,{"$f":"ROW()","v":253},7.0675800497463817E-2,22419,"North of 96th Street",null,null,null,null,null,null,null,null,null,"Airports (JFK & LAG)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254},2.7953179134261638E-2,8867,"Outer boroughs"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255},5.2643525246761601E-2,16699,"Airports (JFK & LAG)"]
[null,null,"CBD",0.68,0.9,0.94,1.8,1,{"$f":"1-H256","v":0},0.9,{"$f":"H256","v":1},0.9,null,null,{"$f":"ROW()","v":256},{"$f":"SUM(P250:P255)","v":1},{"$f":"SUM(Q250:Q255)","v":317209}]
[null,null,"60th-96th Streets",0.21,0.63,0.85,2.8,0.52,0.48,0,{"$f":"K256","v":1},0.75,null,null,{"$f":"ROW()","v":257},"Figures are from Lynn Holland, NYS Budget Div., drawn from TLC data covering all  9,656,994 pickups in June 2017, divided by 30, conveyed to CK on 3-Dec-2017. I have excluded 4,690 daily-avg trips w/ missing pick up locations."]
[null,null,"96th-110th Streets (W side only)",0.03,0.5,0.8,2.8,0.4,0.55000000000000004,0,{"$f":"K257","v":1},0.5,null,null,{"$f":"ROW()","v":258}]
[null,null,"Outer boros (incl Man N of 110)",0.03,0.2,0.3,5,0.3,{"$f":"1-H259","v":0.7},0,0.35,0,null,null,{"$f":"ROW()","v":259}]
[null,null,"Airports (JFK & LAG)",0.05,0.1,0.15,12.8,0.25,{"$f":"1-H260","v":0.75},0,0.3,0,null,null,{"$f":"ROW()","v":260}]
[null,null,"Sum or weighted average",{"$f":"SUM(D256:D260)","v":1},{"$f":"SUMPRODUCT($D$256:$D$260,E256:E260,$G$256:$G$260)/$G$261","v":0.59867460908414005},{"$f":"SUMPRODUCT($D$256:$D$260,F256:F260,$G$256:$G$260)/$G$261","v":0.69194341027550255},{"$f":"SUMPRODUCT($D256:$D260,G256:G260)","v":2.6860000000000004},0.82269999999999999,0.17579999999999998,0.6120000000000001,0.94550000000000001,0.78450000000000009,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"D: Breakdown of trip origins is adapted from Schaller 2006, Fig. 6 (though those data are extremely old, from 1988), and from blue box at right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"E thru H: Komanoff estimates. Figures for G were selected so that the calculated weighted average trip distance would equal 2.8, to match citywide average in Schaller 2006, p. 16.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"More re G: Google Maps gives driving distance from Empire State Bldng to LAG at 9.0 miles and to JFK at 16.6. Figure shown allows wghtd avg to be 2.80 (matching Schaller 2006 to two decimal points).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,{"$f":"CONCATENATE(\"More re H: Weighted average shown (\",ROUND(100*H261,0), \"%) exceeds Schaller 2006's 80% (at his p. 8) but component figures appear reasonable.\")","v":"More re H: Weighted average shown (82%) exceeds Schaller 2006's 80% (at his p. 8) but component figures appear reasonable."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"I thru L: Komanoff estimates. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Part D. 24-hr Weekday and Weekend Distribution of Medallion Taxi Fare Rides and VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Data in this section are used solely to distribute taxi VMT on a 24-hour basis. Data on the absolute level of taxi usage is drawn from other parts of this worksheet tab.",null,{"$f":"ROW()","v":270}]
[null,"Medallion taxi trips within the CBD do not follow the 24-hour cycle shown by motor vehicles entering the CBD (which includes taxis as well as trucks but is mostly private autos). ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"To estimate the diurnal distribution of taxi trips, we consulted with Fair/Share, a 2010 startup (now defunct) promoting cab-sharing.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"Fair/Share obtained medallion taxi \"boardings\" (recorded with GPS data collected by all yellow cabs) on an hourly basis for March 2009 — ostensibly, a representative month for NYC taxi use — from the Taxi & Limousine Commission. We averaged data for the four-week period from Monday, March 2 through Sunday March 29  — 744 data points (28 days * times 24 hours per day).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,"Directly below, the boarding data are collated into the seven weekday periods used in the Motor Vs worksheet tab. Further to the right, an analogous table displays taxi boardings for the six weekend periods used in Motor Vs Weekends.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,null,null,null,"Temporal distribution of medallion taxi \"boardings\" across a representative 28-day period in March, 2009",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280},"Temporal distribution of medallion taxi \"boardings\" across a representative 28-day period in March, 2009"]
[null,null,null,null,"Figures are 5-day averages and pertain to weekdays",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281},"Figures are 2-day averages and pertain to weekends"]
[null,{"$f":"CONCATENATE(\"% of time cruising (Row \",O291, \") is est'd via a formula that takes into account the period's fare trips relative to 24-hr avg (Row \",O290, \"). The lower the fare trips ratio, the higher the cruising %. The formula uses square root to attenuate the proportionality.\")","v":"% of time cruising (Row 291) is est'd via a formula that takes into account the period's fare trips relative to 24-hr avg (Row 290). The lower the fare trips ratio, the higher the cruising %. The formula uses square root to attenuate the proportionality."},null,null,null,"Graveyard","A.M.\nPre-peak","A.M. Peak","A.M.\nPost-peak","Midday Peak","P.M. Peak","P.M.\nPost-peak","Totals",null,{"$f":"ROW()","v":282},null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,"11pm-5am","5am-6am","6am-9am","9am-10am","10am-2pm","2pm-8pm ","8pm-11pm",null,null,{"$f":"ROW()","v":284},null,"Midnight-10am","10am-Noon","Noon-5pm","5pm-8pm","8pm-10pm","10pm-Midnight"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,null,null,null,"Fare trips (boardings) in period",57014.35,3918.6,58559.55,24572.35,82406.5,156609,85912.5,{"$f":"SUM(F286:L286)","v":468992.85},null,{"$f":"ROW()","v":286},null,148221.375,36871.875,110432.5,74825.125,47336.625,44883.125,{"$f":"SUM(Q286:V286)","v":462570.625}]
[null,null,null,null,"Hours in period",6,1,3,1,4,6,3,{"$f":"SUM(F287:L287)","v":24},null,{"$f":"ROW()","v":287},null,10,2,5,3,2,2,{"$f":"SUM(Q287:V287)","v":24}]
[null,"VMT multiple of 1 would indicate zero cruising; a multiple of 1.5 indicates 0.5 cruising miles per 1 fare miles, i.e., a 33% cruising rate.",null,null,"Fare trips (boardings) per hour",{"$f":"F286/F287","v":9502.3916666666664},3918.6,19519.850000000002,24572.35,20601.625,26101.5,28637.5,19541.368749999998,null,{"$f":"ROW()","v":288},null,{"$f":"Q286/Q287","v":14822.137500000001},18435.9375,22086.5,24941.708333333332,23668.3125,22441.5625,19273.776041666668]
[null,null,null,null,"Fare trips, % of total",{"$f":"F286/$M$286","v":0.12156763157476708},8.3553512596194167E-3,0.12486235131303176,5.2393869117620874E-2,0.17570950175466429,0.33392619951455549,0.1831850954657411,1,null,{"$f":"ROW()","v":289},null,{"$f":"Q286/$W$286","v":0.32042971816465865},7.9710800918238164E-2,0.23873651726155332,0.16175935296366906,0.10233383280661196,9.702977788526887E-2,1]
[null,null,null,null,"Fare trips per hr, vs. 24-h average",{"$f":"F288/$M$288","v":0.48627052629906836},0.200528430230866,0.99889881050425422,1.257452858822901,1.0542570105279858,1.3357047980582222,1.4654807637259291,1,null,{"$f":"ROW()","v":290},null,{"$f":"Q288/$W$288","v":0.76903132359518067},0.95652961101885792,1.1459352828554559,1.2940748237093525,1.2280059936793435,1.1643573346232263,1]
[null,null,null,null,"% of time cruising",{"$f":"1-$F$297*F290^0.5","v":0.58160139882205075},0.73131759476454028,0.40033044784520577,0.32718276688520809,0.38393788966527498,0.30656382607989086,0.2736577425611707,{"$f":"SUMPRODUCT(F289:L289,F291:L291)","v":0.3639041403931712},null,{"$f":"ROW()","v":291},null,{"$f":"1-$F$297*Q290^0.5","v":0.47383341374212573},0.41318600905671243,0.357709799367946,0.31745554244769747,0.33510740888128121,0.35256765568566051,{"$f":"SUMPRODUCT(Q289:V289,Q291:V291)","v":0.39001787663843451}]
[null,null,null,null,"VMT multiple, w/ cruising",{"$f":"1/(1-F291)","v":2.3900653519983677},3.7218663392701519,1.6675850831623804,1.486287732807501,1.6232129573050191,1.4420937897526098,1.3767614230874037,1.5720900944365532,null,{"$f":"ROW()","v":292},null,{"$f":"1/(1-Q291)","v":1.9005387763446839},1.7041175149769812,1.556928626679867,1.465106029263114,1.5040023206115809,1.5445629319910574,1.6393923062680518]
[null,null,null,null,"X-product row (temp.)",{"$f":"F289*F292","v":0.29055458415135355},3.109750060595597E-2,0.20821859449819244,7.7872364943841671E-2,0.28521393996978006,0.48155289855563144,0.25220217272181561,{"$f":"SUM(F293:L293)","v":1.6267120554465706},null,{"$f":"ROW()","v":293},null,{"$f":"Q289*Q292","v":0.60898910446513232},0.1358365719776129,0.37169571795836454,0.23699460331677169,0.15391032201822191,0.14986859822091195,{"$f":"SUM(Q293:V293)","v":1.6572949179570153}]
[null,null,null,null,"% of 24-h taxi VMT",{"$f":"F293/$M$293","v":0.17861463753128054},1.9116782531877763E-2,0.12799966275594579,4.7871019756144786E-2,0.17533154624066652,0.29602835790347287,0.1550379932806118,1,null,{"$f":"ROW()","v":294},null,{"$f":"Q293/$W$293","v":0.36745970669833883},8.1962824181625857E-2,0.22427856015908273,0.14300086288137556,9.2868396777533488E-2,9.0429649302043558E-2,1]
[null,null,null,null,"% of 24-h taxi VMT, avg per hr",{"$f":"F294/F287","v":2.9769106255213423E-2},1.9116782531877763E-2,4.2666554251981931E-2,4.7871019756144786E-2,4.383288656016663E-2,4.933805965057881E-2,5.1679331093537263E-2,4.1666666666666664E-2,null,{"$f":"ROW()","v":295},null,{"$f":"Q294/Q287","v":3.6745970669833886E-2},4.0981412090812928E-2,4.4855712031816548E-2,4.7666954293791856E-2,4.6434198388766744E-2,4.5214824651021779E-2,4.1666666666666664E-2]
[null,null,null,null,"Taxi VMT in period, vs. Taxi VMT norm",{"$f":"F295/$M$295","v":0.71445855012512216},0.45880278076506631,1.0239973020475663,1.148904474147475,1.0519892774439992,1.1841134316138915,1.2403039462448944,1,null,{"$f":"ROW()","v":296},null,{"$f":"Q295/$W$295","v":0.88190329607601325},0.98355389017951034,1.0765370887635972,1.1440069030510047,1.114420761330402,1.0851557916245227,1]
[null,null,null,null,null,0.6,null,null,null,null,null,"6am-6pm:",{"$f":"SUM(H286:J286)+0.5*K286","v":243842.9},"Array to left estimates % of yearly taxi trips falling w/i M-F 6am-6pm charged under BB c.p. plan",{"$f":"ROW()","v":297}]
[null,{"$f":"CONCATENATE(\"VMT multiple in Row \",O292, \" is calculated as reciprocal of complement of % of time taxicabs spend cruising in Row \",O291, \". A multiple of, say, 1.75 indicates that for every mile with a fare, taxicabs spend 0.75 miles cruising for fares.\")","v":"VMT multiple in Row 292 is calculated as reciprocal of complement of % of time taxicabs spend cruising in Row 291. A multiple of, say, 1.75 indicates that for every mile with a fare, taxicabs spend 0.75 miles cruising for fares."},null,null,null,{"$f":"CONCATENATE(\"This constant is used in formula that converts Row \",O290, \" values into Row \",O291, \" values. Its value was chosen to cause Cell M\",O291, \" to be between 35% and 39% -- the approximate % of taxi miles spent cruising.\")","v":"This constant is used in formula that converts Row 290 values into Row 291 values. Its value was chosen to cause Cell M291 to be between 35% and 39% -- the approximate % of taxi miles spent cruising."},null,null,"6pm-12pm","Other",null,"24h:",{"$f":"M286","v":468992.85},null,{"$f":"ROW()","v":298}]
[null,null,null,null,null,null,null,"Sum",173531.8,{"$f":"M286-I299","v":295461.05},null,"% subj to BloomBerg surchrg:",{"$f":"M297/M298","v":0.51992882194259471},null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,"Hours",6,18,null,null,null,null,{"$f":"ROW()","v":300}]
[null,null,null,null,null,null,null,"Per-hour",{"$f":"I299/I300","v":28921.966666666664},{"$f":"J299/J300","v":16414.502777777776},null,"same, 365d:",{"$f":"(M299*M286*wkday_per_yr)/(M286*wkday_per_yr+W286*wkend_per_yr)","v":0.35765872801170373},null,{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,"Ratio",{"$f":"I301/J301","v":1.7619764094116637},null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,null,null,null,null,null,null,"vs. Average",{"$f":"I301/$M$288","v":1.4800379152901797},{"$f":"J301/$M$288","v":0.83998736156994003},null,null,null,null,{"$f":"ROW()","v":303}]
[null,"Share of 24h weekday taxi rides occurring in 6am-8pm period",null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(H286:K286)/M286","v":0.68689192169987245},null,{"$f":"ROW()","v":304}]
[null,{"$f":"CONCATENATE(\"Sum of Columns H through K in Row \",O286, \", divided by total weekday boardings in Cell M \",O286, \".\")","v":"Sum of Columns H through K in Row 286, divided by total weekday boardings in Cell M 286."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"Annual taxi rides occurring in 6am-8pm period, weekdays (millions)",null,null,null,null,null,null,null,null,null,null,{"$f":"M304*L69*weekday_per_yr/1000000","v":52.36626013510584},null,{"$f":"ROW()","v":306}]
[null,{"$f":"CONCATENATE(\"Product of 6am-8pm share of weekday rides from Row \",O304, \", total weekday taxi rides in Row \",O69, \", and number of weekdays in year from 'Constants' tab.\")","v":"Product of 6am-8pm share of weekday rides from Row 304, total weekday taxi rides in Row 69, and number of weekdays in year from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"Share of annual taxi rides occurring in 6am-8pm period, weekdays",null,null,null,null,null,null,null,null,null,null,{"$f":"M306/N72","v":0.4814260176279061},null,{"$f":"ROW()","v":308}]
[null,{"$f":"CONCATENATE(\"Row \",O306, \" divided by Row \",O72, \".\")","v":"Row 306 divided by Row 72."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"Subsection: Prelim calc's for possible revenue-neutral time-differentiated pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,null,null,null,null,"11pm-5am","5am-6am","6am-9am","9am-10am","10am-2pm","2pm-8pm ","8pm-11pm","24h",{"$f":"CONCATENATE(\"Col. M sums x-prods of Row \",O286, \" and own row. Col. N ratios Cells M\",O317, \"/\",O318, \" to Cell M\",O286,\".\")","v":"Col. M sums x-prods of Row 286 and own row. Col. N ratios Cells M317/318 to Cell M286."},{"$f":"ROW()","v":312}]
[null,null,null,null,"Average mph for period",{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},{"$f":"'Motor Vs'!K205","v":7.9566975814690171},null,{"$f":"ROW()","v":313}]
[null,null,null,null,{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O201, \".\")","v":"From 'Motor Vs' worksheet, Row 201."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,null,null,null,"Average mph for period, ratio to 24-h average",{"$f":"F313/$M$313","v":2.5477759717890929},2.3854542654287174,0.90923728850855323,0.9078552707787203,1.1594469950562198,0.74182992053576513,1.073325685278242,1,null,{"$f":"ROW()","v":315}]
[null,null,null,null,{"$f":"CONCATENATE(\"Ratio of respective From 'Motor Vs' worksheet, Row \",'Motor Vs'!O203, \".\")","v":"Ratio of respective From 'Motor Vs' worksheet, Row 203."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,null,null,null,"One possible fare ratio for period (vs. mean)",0.5,0.5,1.1499999999999999,1.1499999999999999,1,1.1499999999999999,1,{"$f":"SUMPRODUCT($F$286:$L$286,F317:L317)","v":474487.50999999995},{"$f":"M317/$M$286","v":1.011715871574588},{"$f":"ROW()","v":317}]
[null,null,null,null,"Another possible fare ratio for period (vs. mean)",0.5,0.5,1.075,1.075,1.075,1.075,1.075,{"$f":"SUMPRODUCT($F$286:$L$286,F318:L318)","v":469130.86749999999},{"$f":"M318/$M$286","v":1.0002942848702279},{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays or to all 7 days",null,"Figures in column apply to weekends and holidays",{"$f":"ROW()","v":320}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Part E. Impact of Taxi Pricing (or other policy and/or exogenous changes) on Number of Taxi Rides",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null," (shown for typical weekday or weekend day)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Some of this section is vestigial and will be pruned in 2018.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,"\"Exogenous\" % increase from baseline passengers per trip",null,null,null,null,"This option allows modeling of possible advent of taxi-sharing by strangers going from same Point A to same Point B.",null,null,null,null,0,null,0,{"$f":"ROW()","v":326}]
[null,"To be inputted by user. Default value = zero.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Passengers per trip, \"after\"",null,null,null,null,null,null,null,null,null,{"$f":"L74*(1+L326)","v":1.4},null,{"$f":"M74*(1+N326)","v":1.5},{"$f":"ROW()","v":328}]
[null,{"$f":"CONCATENATE(\"Product of baseline passengers/trip in Row \",O74,\" and one plus % increase in Row \",O326, \".\")","v":"Product of baseline passengers/trip in Row 74 and one plus % increase in Row 326."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Taxi fare change due to pricing (expressed as multiple of average new fare to average baseline fare)",null,null,null,null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K126=\"YES\",'Taxi Farecalcs'!W205/'Taxi Farecalcs'!W196,1)","v":1},null,{"$f":"IF('Policy Levers'!$K126=\"YES\",'Taxi Farecalcs'!X205/'Taxi Farecalcs'!X196,1)","v":1},{"$f":"ROW()","v":330}]
[null,{"$f":"CONCATENATE(\"Ratio of averages of 'before' and 'after' fares for nine different fare distances, calculated in 'Taxi Farecalcs' worksheet.\")","v":"Ratio of averages of 'before' and 'after' fares for nine different fare distances, calculated in 'Taxi Farecalcs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"Effective taxi fare change due to ride-sharing via increased occupancy (expressed as ratio)",null,null,null,null,null,null,null,null,null,{"$f":"1/(1+L326)","v":1},null,{"$f":"1/(1+N326)","v":1},{"$f":"ROW()","v":332}]
[null,{"$f":"CONCATENATE(\"Calculated as reciprocal of one plus assumed percent increase in occupancy in Row \",O$326,\".\")","v":"Calculated as reciprocal of one plus assumed percent increase in occupancy in Row 326."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Total effective taxi fare change due to both changes (pricing + ride-sharing)",null,null,null,null,null,null,null,null,null,{"$f":"L330*L332","v":1},null,{"$f":"N330*N332","v":1},{"$f":"ROW()","v":334}]
[null,{"$f":"CONCATENATE(\"Product of respective factors in Rows \",O330, \" and \",O332,\".\")","v":"Product of respective factors in Rows 330 and 332."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Taxi usage (ridership) fare-elasticity",null,null,null,null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$135>=2,Elasticities!$G$70,Elasticities!$G$68)","v":-0.39999999999999997},null,{"$f":"L336","v":-0.39999999999999997},{"$f":"ROW()","v":336}]
[null,{"$f":"CONCATENATE(\"Source: Modified (increased) from Schaller. 'Imported' from (and fully sourced in) 'Elasticities' worksheet, Row \",Elasticities!O68, \".\")","v":"Source: Modified (increased) from Schaller. 'Imported' from (and fully sourced in) 'Elasticities' worksheet, Row 68."},null,null,null,null,null,null,null,"equates to % change of",null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Taxi usage (ridership) change due to change in taxi fare (expressed as multiple of new ridership to old)",null,null,null,null,null,null,null,null,{"$f":"L338-1","v":0},{"$f":"L334^L336","v":1},null,{"$f":"N334^N336","v":1},{"$f":"ROW()","v":338}]
[null,{"$f":"CONCATENATE(\"Calculated as Row \",O330, \" raised to the Row \",O336,\" power -- standard elasticity calculation.\")","v":"Calculated as Row 330 raised to the Row 336 power -- standard elasticity calculation."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,"Taxi trip duration change due to pricing (expressed as multiple of average new trip duration to average baseline duration)",null,null,null,null,null,null,null,null,null,{"$f":"F573/E573","v":0.90573116790819042},null,{"$f":"I573/H573","v":0.93862991331192958},{"$f":"ROW()","v":340}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of perceived durations of average trip (including 'hail time,') before and after pricing, in Row \",O574,\".\")","v":"Calculated as ratio of perceived durations of average trip (including 'hail time,') before and after pricing, in Row 574."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"Taxi usage (ridership) time-elasticity",null,null,null,null,null,null,null,null,null,{"$f":"Elasticities!G69","v":-0.6},null,{"$f":"L342","v":-0.6},{"$f":"ROW()","v":342}]
[null,{"$f":"CONCATENATE(\"Source: Sugg'd by Schaller, applied by Komanoff. Imported from (and sourced in) 'Elasticities' worksheet, Row \",Elasticities!O69, \".\")","v":"Source: Sugg'd by Schaller, applied by Komanoff. Imported from (and sourced in) 'Elasticities' worksheet, Row 69."},null,null,null,null,null,null,null,"equates to % change of",null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Taxi ridership change due to change in taxi trip duration (expr'd as multiple of new ridership to old)",null,null,null,null,null,null,null,null,{"$f":"L344-1","v":6.1207748272617879E-2},{"$f":"L340^L342","v":1.0612077482726179},null,{"$f":"N340^N342","v":1.0387316521050438},{"$f":"ROW()","v":344}]
[null,{"$f":"CONCATENATE(\"Calculated as Row \",O340, \" raised to the Row \",O342,\" power -- standard elasticity calculation.\")","v":"Calculated as Row 340 raised to the Row 342 power -- standard elasticity calculation."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,"Taxi ridership change due to exogenous change in taxi occupancy",null,null,null,null,null,null,null,null,null,{"$f":"1/(1+L326)","v":1},null,{"$f":"1/(1+N326)","v":1},{"$f":"ROW()","v":346}]
[null,{"$f":"CONCATENATE(\"Calculated as reciprocal of one plus assumed percent increase in occupancy in Row \",O$326,\".\")","v":"Calculated as reciprocal of one plus assumed percent increase in occupancy in Row 326."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"Taxi ridership chng due to all 3 changes: in fare, trip duration, and vehicle occupancy",null,null,null,null,null,null,null,"equates to:",{"$f":"L348-1","v":6.1207748272617879E-2},{"$f":"L338*L344*L346","v":1.0612077482726179},null,{"$f":"N338*N344*N346","v":1.0387316521050438},{"$f":"ROW()","v":348}]
[null,{"$f":"CONCATENATE(\"Product of factor from change in taxi fare in Row \",O338, \" times factor from change in taxi trip duration in Row \",O344,\" times factor from change in occupancy in Row \",O346, \".\")","v":"Product of factor from change in taxi fare in Row 338 times factor from change in taxi trip duration in Row 344 times factor from change in occupancy in Row 346."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,"Predicted change in daily taxi trips from changes in taxi fare and trip duration (# of fare trips)",null,null,null,null,null,null,null,null,null,{"$f":"L69*(L348-1)","v":18665.066611329043},null,{"$f":"M69*(N348-1)","v":10885.58811380732},{"$f":"ROW()","v":350}]
[null,{"$f":"CONCATENATE(\"Product of baseline trips in Row \",O69, \" times usage factor in Row \",O348,\" less one.\")","v":"Product of baseline trips in Row 69 times usage factor in Row 348 less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,"Projected number of daily taxi trips after changes in taxi fare and trip duration",null,null,null,null,null,null,null,null,null,{"$f":"L69+L350","v":323611.20722403825},null,{"$f":"M69+N350","v":291937.06725765072},{"$f":"ROW()","v":352}]
[null,{"$f":"CONCATENATE(\"Sum of baseline trips in Row \",O69, \" and change in trips in Row \",O350,\".\")","v":"Sum of baseline trips in Row 69 and change in trips in Row 350."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,"Projected number of daily taxi passengers after changes in taxi fare and trip duration",null,null,null,null,null,null,null,null,null,{"$f":"L352*L328","v":453055.69011365355},null,{"$f":"N352*N328","v":437905.60088647611},{"$f":"ROW()","v":354}]
[null,{"$f":"CONCATENATE(\"Product of daily trips in Row \",O352, \" and occupancy rate in Row \",O328,\".\")","v":"Product of daily trips in Row 352 and occupancy rate in Row 328."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"Projected change in number of daily taxi passengers after changes in taxi fare and trip duration",null,null,null,null,null,null,null,null,null,{"$f":"L354-L77","v":26131.093255860673},null,{"$f":"N354-M77","v":16328.382170711004},{"$f":"ROW()","v":356}]
[null,{"$f":"CONCATENATE(\"Projected daily passengers in Row \",O354, \" less baseline passenger figure in Row \",O77,\".\")","v":"Projected daily passengers in Row 354 less baseline passenger figure in Row 77."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,null,null,null,null,null,null,null,null,null,null,null,"In absence of hourly subway data for weekends, we est. subway attraction from taxis at 50% of that for weekdays.",null,{"$f":"ROW()","v":358}]
[null,"Part F. Impact of Changes in Prices/Fares/Service for Other Modes on No. of Taxi Rides (for typical weekday or weekend day)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"Much of the data here are calculated in other worksheets and imported from them.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Change in taxi trips due to changes in subway fares and durations",null,null,null,null,null,null,null,null,null,{"$f":"-Subways!AN323","v":-3658.5588678324511},null,{"$f":"0.5*L361","v":-1829.2794339162256},{"$f":"ROW()","v":361}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Subways' worksheet, last column, Row \",Subways!O323, \"; reflects fact that taxi occupancy > 1; i.e., above row is # of taxi trips, not # of taxi passengers.\")","v":"Calculated in 'Subways' worksheet, last column, Row 323; reflects fact that taxi occupancy > 1; i.e., above row is # of taxi trips, not # of taxi passengers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Change in taxi trips due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"Elasticities!I117*('Motor Vs'!I85-'Motor Vs'!W933)","v":2582.7821377663286},null,{"$f":"Elasticities!I117*('Motor Vs Weekends'!I85-'Motor Vs Weekends'!W933)","v":262.80053528323367},{"$f":"ROW()","v":363}]
[null,{"$f":"CONCATENATE(\"Calculated as product of difference between final and initial cordon entries for auto work trips, and cross-elasticity of taxi trips w/r/t auto work trips.\")","v":"Calculated as product of difference between final and initial cordon entries for auto work trips, and cross-elasticity of taxi trips w/r/t auto work trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,"Change in taxi person-trips due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L363*H.I.S.!$G$125","v":2970.1994584312774},null,{"$f":"N363*H.I.S.!$G$125","v":302.22061557571868},{"$f":"ROW()","v":365}]
[null,{"$f":"CONCATENATE(\"Calculated as product of Row \",O363, \" and average work-trip occupancy in H.I.S. worksheet tab.\")","v":"Calculated as product of Row 363 and average work-trip occupancy in H.I.S. worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,"Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L365/$L$74","v":2121.5710417366267},null,{"$f":"N365/$L$74","v":215.87186826837049},{"$f":"ROW()","v":367}]
[null,{"$f":"CONCATENATE(\"Row \",O365, \" divided by avg taxi passenger occupancy in Row \",O$74, \".\")","v":"Row 365 divided by avg taxi passenger occupancy in Row 74."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,"Change in taxi trips due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"Elasticities!J117*('Motor Vs'!J85-'Motor Vs'!AF933)","v":421.38146087000428},null,{"$f":"Elasticities!J117*('Motor Vs Weekends'!J85-'Motor Vs Weekends'!AF933)","v":753.43184993899126},{"$f":"ROW()","v":369}]
[null,{"$f":"CONCATENATE(\"Calculated as product of Row \",O367, \" and average non-work-trip occupancy in H.I.S. worksheet tab.\")","v":"Calculated as product of Row 367 and average non-work-trip occupancy in H.I.S. worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,"Change in taxi person-trips due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L369*H.I.S.!$H$125","v":632.07219130500641},null,{"$f":"N369*H.I.S.!$H$125","v":1130.147774908487},{"$f":"ROW()","v":371}]
[null,{"$f":"CONCATENATE(\"Calculated as product of difference between final and initial cordon entries for auto non-work trips, and cross-elasticity of taxi trips w/r/t auto non-work trips.\")","v":"Calculated as product of difference between final and initial cordon entries for auto non-work trips, and cross-elasticity of taxi trips w/r/t auto non-work trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L371/$L$74","v":451.48013664643321},null,{"$f":"N371/$L$74","v":807.24841064891939},{"$f":"ROW()","v":373}]
[null,{"$f":"CONCATENATE(\"Row \",O371, \" divided by avg taxi passenger occupancy in Row \",O$74, \".\")","v":"Row 371 divided by avg taxi passenger occupancy in Row 74."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"Net Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L367+L373","v":2573.0511783830598},null,{"$f":"N367+N373","v":1023.1202789172899},{"$f":"ROW()","v":375}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O367, \" and \",O373, \".\")","v":"Sum of Rows 367 and 373."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,"Sum of changes from above three modes (subways, auto work trips, auto non-work trips)",null,null,null,null,null,null,null,null,null,{"$f":"L361+L375","v":-1085.5076894493914},null,{"$f":"N361+N375","v":-806.15915499893572},{"$f":"ROW()","v":377}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O361, \" and \",O375, \".\")","v":"Sum of Rows 361 and 375."},null,null,null,null,null,null,null,null,"Weekdays",null,"Weekends",null,{"$f":"ROW()","v":378}]
[null,"Total change in Daily Taxi Rides due to \"own\" fare & service chngs + chngs from competing modes",null,null,null,null,null,null,null,"equates to:",{"$f":"L379/L69","v":5.7648078072272513E-2},{"$f":"L350+L377","v":17579.558921879652},{"$f":"N379/M69","v":3.586328379951282E-2},{"$f":"N350+N377","v":10079.428958808385},{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O350, \" and \",O377, \".\")","v":"Sum of Rows 350 and 377."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,"Taxi ridership, daily (weekday), # of fare trips, with pricing",null,null,null,null,null,null,null,null,null,{"$f":"L69+L379","v":322525.69953458884},null,{"$f":"M69+N379","v":291130.90810265177},{"$f":"ROW()","v":381}]
[null,{"$f":"CONCATENATE(\"Sum of Baseline fare trips in Rows \",O69, \" and Change in trips in Row \",O379, \".\")","v":"Sum of Baseline fare trips in Rows 69 and Change in trips in Row 379."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,"Taxi ridership, annual # of fare trips, with pricing (millions)",null,null,null,null,null,null,null,null,null,{"$f":"L381*weekday_per_yr/1000000","v":80.631424883647199},null,{"$f":"N381*wkend_per_yr/1000000","v":33.480054431804952},{"$f":"ROW()","v":383}]
[null,{"$f":"CONCATENATE(\"Daily fares in Row \",O383, \" multiplied by respective number of weekdays and weekend/holidays from 'Constants' worksheet.\")","v":"Daily fares in Row 383 multiplied by respective number of weekdays and weekend/holidays from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,"Taxi ridership, annual # of fare trips, with pricing, summed over all days in year (millions)",null,null,null,null,null,null,null,null,null,null,{"$f":"L383+N383","v":114.11147931545216},null,{"$f":"ROW()","v":385}]
[null,"Percent change in taxi ridership, annual (i.e., weekdays and weekends combined)",null,null,null,null,null,null,null,null,null,null,{"$f":"M385/N72-1","v":4.9076923017433272E-2},null,{"$f":"ROW()","v":386}]
[null,{"$f":"CONCATENATE(\"New daily fare trips in Row \",O385, \" divided by baseline figure in Row \",O72, \" , less one.\")","v":"New daily fare trips in Row 385 divided by baseline figure in Row 72 , less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,"Part G. Impact of Change in Number of Taxi Rides on Taxi Miles Traveled (for typical weekday or weekend day)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays or to all 7 days",null,"Figures in column apply to weekends and holidays",{"$f":"ROW()","v":390}]
[null,"Premise is that changes in number of fare trips will be reflected primarily by adding or substracting \"shifts\" for cabs that would otherwise be idle (or in use, respectively). A previous subroutine that attempted to absorb some changes in ridership through changes in taxi \"cruising\" (driving w/o passengers) was excessively complex and has been put aside.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,"Sector-wide shifts per day, baseline",null,null,null,null,null,null,null,null,null,{"$f":"$L$180*L185","v":15247.30703063546},null,{"$f":"$L$180*M185","v":14052.573957192169},{"$f":"ROW()","v":395}]
[null,{"$f":"CONCATENATE(\"Product of # of medallion taxis in Row \",O$180, \" and baseline shifts/day in Row \",O185, \".\")","v":"Product of # of medallion taxis in Row 180 and baseline shifts/day in Row 185."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,"Power factor (exponent) relating % change in taxi fare rides to % change in shifts per day per taxi",null,null,null,null,null,null,null,null,null,0.5,null,{"$f":"L397","v":0.5},{"$f":"ROW()","v":397}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,"Factor change in shifts per day per taxi",null,null,null,null,null,null,null,null,null,{"$f":"(1+K379)^L397","v":1.0284201855624346},null,{"$f":"(1+M379)^N397","v":1.0177736898738898},{"$f":"ROW()","v":399}]
[null,{"$f":"CONCATENATE(\"One plus % change in # fare trips per day calc'd in Row \",O379, \", raised to exponent specified in Row \",O397, \".\")","v":"One plus % change in # fare trips per day calc'd in Row 379, raised to exponent specified in Row 397."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400}]
[null,"Shifts per day per medallion taxi, after changes in tolls/fares and any exogenous change in average taxicab occupancy",null,null,null,null,null,null,null,null,null,{"$f":"L185*L399","v":1.1540912876848115},null,{"$f":"M185*N399","v":1.0526488591033492},{"$f":"ROW()","v":401}]
[null,{"$f":"CONCATENATE(\"Product of baseline shifts/day in Row \",O185, \" and factor change in same parameter in Row \",O399, \".\")","v":"Product of baseline shifts/day in Row 185 and factor change in same parameter in Row 399."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,"Sector-wide shifts per day, after changes in tolls/fares and any exogenous change in average taxicab occupancy",null,null,null,null,null,null,null,null,null,{"$f":"$L$180*L401","v":15680.638325773534},null,{"$f":"$L$180*N401","v":14302.340048637205},{"$f":"ROW()","v":403}]
[null,{"$f":"CONCATENATE(\"Product of # of medallion taxis in Row \",O$180, \" and new shifts/day in Row \",O401, \".\")","v":"Product of # of medallion taxis in Row 180 and new shifts/day in Row 401."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,"Change in sector-wide shifts per day, after toll/fare changes or exogenous change in average taxicab occupancy",null,null,null,null,null,null,null,null,null,{"$f":"L403-L395","v":433.33129513807398},null,{"$f":"N403-N395","v":249.76609144503527},{"$f":"ROW()","v":405}]
[null,{"$f":"CONCATENATE(\"Row \",O$403, \" less Row \",O395, \".\")","v":"Row 403 less Row 395."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,"Change in daily taxicab CBD entries due to change in # of sector-wide shifts",null,null,null,null,null,null,null,null,null,{"$f":"L240*L405","v":324.99847135355549},null,{"$f":"M240*N405","v":187.32456858377645},{"$f":"ROW()","v":407}]
[null,{"$f":"CONCATENATE(\"Product of change in # of shifts/day in Row \",O405, \" and % of shifts that begin by breaching cordon zone inward w/o fare in Row \",O$240, \".\")","v":"Product of change in # of shifts/day in Row 405 and % of shifts that begin by breaching cordon zone inward w/o fare in Row 240."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,"Change in daily taxicab fares that cross into CBD, due to change in number of fare rides",null,null,null,null,null,null,null,null,null,{"$f":"L379/L246","v":1893.9044811838335},null,{"$f":"N379/M246","v":1085.8904798289564},{"$f":"ROW()","v":409}]
[null,{"$f":"CONCATENATE(\"Ratio of change in # of fare rides/day in Row \",O379, \" to # of fare rides per fare rides that breach cordon zone inward in Row \",O246, \".\")","v":"Ratio of change in # of fare rides/day in Row 379 to # of fare rides per fare rides that breach cordon zone inward in Row 246."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,"Total change in daily taxicab CBD entries due to changes in tolls/fares and any exogenous change in avg taxi occupancy",null,null,null,null,null,null,null,null,null,{"$f":"L407+L409","v":2218.902952537389},null,{"$f":"N407+N409","v":1273.2150484127328},{"$f":"ROW()","v":411}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O$407, \" and \",O409, \".\")","v":"Sum of Rows 407 and 409."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,"Miles per shift per day, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L234/L395","v":82.646153846153865},null,{"$f":"M234/N395","v":82.646153846153865},{"$f":"ROW()","v":413}]
[null,{"$f":"CONCATENATE(\"Ratio of total cab miles driven per day in Row \",O234, \" and # of shifts per day in Row \",O$395, \".\")","v":"Ratio of total cab miles driven per day in Row 234 and # of shifts per day in Row 395."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,"Change in sector-wide miles per day",null,null,null,null,null,null,null,null,null,{"$f":"L405*L413","v":35813.164884334372},null,{"$f":"N405*N413","v":20642.206819118921},{"$f":"ROW()","v":415}]
[null,{"$f":"CONCATENATE(\"Product of change in # of shifts/day in Row \",O405, \" and miles per daily shift in Row \",O413, \".\")","v":"Product of change in # of shifts/day in Row 405 and miles per daily shift in Row 413."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,"Change in daily taxi VMT done with fares, due to pricing and any exogenous change in avg taxi occupancy",null,null,null,null,null,null,null,null,null,{"$f":"L379*$G$261","v":47218.695264168753},null,{"$f":"N379*$G$261","v":27073.346183359325},{"$f":"ROW()","v":417}]
[null,{"$f":"CONCATENATE(\"Product of change in daily number of fare trips from Row \",O379, \" and miles per fare trip in Cell G\",O261, \".\")","v":"Product of change in daily number of fare trips from Row 379 and miles per fare trip in Cell G261."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,"Change in daily taxi cruising VMT, due to pricing and any exogenous change in avg taxi occupancy",null,null,null,null,null,null,null,null,null,{"$f":"L415-L417","v":-11405.530379834381},null,{"$f":"N415-N417","v":-6431.1393642404037},{"$f":"ROW()","v":419}]
[null,{"$f":"CONCATENATE(\"Row \",O415, \" less Row \",O417, \".\")","v":"Row 415 less Row 417."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,"Aggregate taxi miles spent cruising per day, after implementing pricing",null,null,null,null,null,null,null,null,null,{"$f":"L232+L419","v":429640.41852787021},null,{"$f":"M232+N419","v":400055.77685595531},{"$f":"ROW()","v":421}]
[null,{"$f":"CONCATENATE(\"Sum of baseline cruising miles in Row \",O232, \" and change in cruising miles in Row \",O419, \".\")","v":"Sum of baseline cruising miles in Row 232 and change in cruising miles in Row 419."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,"Aggregate taxi fare-miles (w/ paying passenger) per day, after implementing pricing",null,null,null,null,null,null,null,null,null,{"$f":"L230+L417","v":866304.02894990589},null,{"$f":"M230+N417","v":781977.61916372273},{"$f":"ROW()","v":423}]
[null,{"$f":"CONCATENATE(\"Sum of baseline fare miles in Row \",O230, \" and change in fare miles in Row \",O417, \".\")","v":"Sum of baseline fare miles in Row 230 and change in fare miles in Row 417."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,"Aggregate taxi miles (cruising plus paying passenger) per day, after implementing pricing",null,null,null,null,null,null,null,null,null,{"$f":"L423+L421","v":1295944.4474777761},null,{"$f":"N423+N421","v":1182033.3960196781},{"$f":"ROW()","v":425}]
[null,{"$f":"CONCATENATE(\"Sum of 'after' fare miles in Row \",O423, \" and 'after' cruising miles in Row \",O421, \".\")","v":"Sum of 'after' fare miles in Row 423 and 'after' cruising miles in Row 421."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,"Share of taxi VMT spent cruising, after implementing pricing ",null,null,null,null,null,null,null,null,null,{"$f":"L421/L425","v":0.33152687938441744},null,{"$f":"N421/N425","v":0.338447101581972},{"$f":"ROW()","v":427}]
[null,{"$f":"CONCATENATE(\"Ratio of 'after' cruising miles in Row \",O421, \" to 'after' total taxi miles in Row \",O425, \".\")","v":"Ratio of 'after' cruising miles in Row 421 to 'after' total taxi miles in Row 425."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,"Alt Change in total taxi miles in CBD, due to traffic and taxi pricing (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L$208*L415","v":21440.432487194732},null,{"$f":"M$208*N415","v":12357.96509806999},{"$f":"ROW()","v":429}]
[null,{"$f":"CONCATENATE(\"Product of share of all taxicab miles occurring in CBD in Row \",O208, \" and change in al miles in Row \",O415, \".\")","v":"Product of share of all taxicab miles occurring in CBD in Row 208 and change in al miles in Row 415."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,"Change in total taxi miles outside CBD, due to traffic and taxi pricing (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L415-L429","v":14372.73239713964},null,{"$f":"N415-N429","v":8284.2417210489311},{"$f":"ROW()","v":431}]
[null,{"$f":"CONCATENATE(\"Row \",O415, \" less Row \",O429, \".\")","v":"Row 415 less Row 429."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,"Percentage point change in share of taxi miles accounted for by cruising",null,null,null,null,null,null,"These cells don't act as inputs into other calculations; they are shown solely for their possible interest value.",null,null,{"$f":"L427-$L194","v":-1.8473120615582539E-2},null,{"$f":"N427-$L194","v":-1.1552898418027979E-2},{"$f":"ROW()","v":433}]
[null,{"$f":"CONCATENATE(\"Calculated as Row \",O421, \" less Row \",O194,\".\")","v":"Calculated as Row 421 less Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Percent change in share of taxi miles accounted for by cruising",null,null,null,null,null,null,null,null,null,{"$f":"L433/$L$194","v":-5.2780344615950117E-2},null,{"$f":"N433/$L$194","v":-3.3008281194365656E-2},{"$f":"ROW()","v":435}]
[null,{"$f":"CONCATENATE(\"Calculated as Row \",O433, \" divided by Row \",O194,\".\")","v":"Calculated as Row 433 divided by Row 194."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437}]
[null,"Part H. Change in Number of Fares Per Cab (per hour & per shift)",null,null,null,null,null,{"$f":"CONCATENATE(\"Speeds in Row \",O443, \" are calc'd as wghtd harmonic avg of CBD + non-CBD miles. Also, they use mean of % of miles in CBD in Row \",O208, \" and % of miles south of 96th St in Row \",O210, \", to avoid inadvertently applying 'outer-borough' speeds to zone between 60th and 96th Streets.\")","v":"Speeds in Row 443 are calc'd as wghtd harmonic avg of CBD + non-CBD miles. Also, they use mean of % of miles in CBD in Row 208 and % of miles south of 96th St in Row 210, to avoid inadvertently applying 'outer-borough' speeds to zone between 60th and 96th Streets."},null,null,null,null,null,null,{"$f":"ROW()","v":438},null,{"$f":"CONCATENATE(\"Same note as in Cols. H - M, except PM Peak speeds are from Rows \",'Motor Vs'!O201, \" and \",'Motor Vs'!O217, \" (baseline) and Rows \",'Motor Vs'!O1011, \" and \",'Motor Vs'!O1015, \" (w/ pricing) instead of 24-h averages.\")","v":"Same note as in Cols. H - M, except PM Peak speeds are from Rows 201 and 217 (baseline) and Rows 1011 and 1015 (w/ pricing) instead of 24-h averages."}]
[null,"Some though not all of remainder of this section is vestigial and will be pruned in early 2018.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,"1. Duration of a typical trip that begins or ends in CBD (minutes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,null,null,null,null,null,"W E E K D A Y S",null,null,null,"W E E K E N D S",null,null,null,{"$f":"ROW()","v":441},null,"W E E K D A Y    E V E N I N G S"]
[null,null,null,null,null,null,"Before","After","% imprvmnt",null,"Before","After","% imprvmnt",null,{"$f":"ROW()","v":442},null,"Before","After","% imprvmnt"]
[null,"Average Speed (mph)",null,null,null,null,{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs'!H1027+(1-AVERAGE(L208,L210))/'Motor Vs'!H1032))","v":10.1999457000208},{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs'!H1028+(1-AVERAGE(L208,L210))/'Motor Vs'!H1033))","v":12.010362249538764},{"$f":"H443/G443-1","v":0.1774927634677772},null,{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs Weekends'!H1027+(1-AVERAGE(L208,L210))/'Motor Vs Weekends'!H1032))","v":12.925678772349711},{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs Weekends'!H1028+(1-AVERAGE(L208,L210))/'Motor Vs Weekends'!H1033))","v":14.331799173368397},{"$f":"L443/K443-1","v":0.10878503371340353},null,{"$f":"ROW()","v":443},null,{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs'!L201+(1-AVERAGE(L208,L210))/'Motor Vs'!L217))","v":7.5689026802068238},{"$f":"1/((AVERAGE(L208,L210)/'Motor Vs'!L1011+(1-AVERAGE(L208,L210))/'Motor Vs'!L1015))","v":8.9680878565887809},{"$f":"R443/Q443-1","v":0.18485971289351077}]
[null,"Pickup time, minutes",null,null,"(Komanoff assumption)",null,{"$f":"15/60","v":0.25},{"$f":"15/60","v":0.25},null,null,{"$f":"15/60","v":0.25},{"$f":"15/60","v":0.25},null,null,{"$f":"ROW()","v":444},null,{"$f":"15/60","v":0.25},{"$f":"15/60","v":0.25}]
[null,"Dropoff time, minutes",null,null,"(Komanoff assumption)",null,{"$f":"24/60","v":0.4},{"$f":"24/60","v":0.4},null,null,{"$f":"24/60","v":0.4},{"$f":"24/60","v":0.4},null,null,{"$f":"ROW()","v":445},null,{"$f":"24/60","v":0.4},{"$f":"24/60","v":0.4}]
[null,"Travel time, minutes",null,null,"(Calculation)",null,{"$f":"$L$196*60/G443","v":12.64394435798183},{"$f":"$L$196*60/H443","v":10.738022984315213},null,null,{"$f":"$L$196*60/K443","v":9.9776226964098136},{"$f":"$L$196*60/L443","v":8.9986989299395717},null,null,{"$f":"ROW()","v":446},null,{"$f":"$L$196*60/Q443","v":17.03913385262009},{"$f":"$L$196*60/R443","v":14.380718381427053}]
[null,"Total time, minutes",null,null,null,null,{"$f":"SUM(G444:G446)","v":13.293944357981831},{"$f":"SUM(H444:H446)","v":11.388022984315214},{"$f":"1-H447/G447","v":0.14336763584558565},null,{"$f":"SUM(K444:K446)","v":10.627622696409814},{"$f":"SUM(L444:L446)","v":9.648698929939572},{"$f":"1-L447/K447","v":9.2111264619973654E-2},null,{"$f":"ROW()","v":447},null,{"$f":"SUM(Q444:Q446)","v":17.689133852620088},{"$f":"SUM(R444:R446)","v":15.030718381427054},{"$f":"1-R447/Q447","v":0.15028522557079715}]
[null,"Time lost cruising between fares, minutes",null,null,null,null,{"$f":"G446*$L$194/$L$200","v":6.8082777312209846},{"$f":"H446*$L$427/(1-$L$427)","v":5.3254845123314709},null,null,{"$f":"K446*$L$194/$L$200","v":5.3725660672975915},{"$f":"L446*$N$427/(1-$N$427)","v":4.6036886515496303},null,null,{"$f":"ROW()","v":448},null,{"$f":"Q446*$L$194/$L$200","v":9.1749182283338939},{"$f":"R446*$L$427/(1-$L$427)","v":7.1320664081605347}]
[null,"\"Before\" time prorates fare time by non-cruising % of VMT. \"After\" time does same but adjusts latter for (i) faster travel due to less traffic, and (ii) reduction in share of driving time spent cruising.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,"Total time, minutes, including time lost cruising",null,null,null,null,{"$f":"G447+G448","v":20.102222089202815},{"$f":"H447+H448","v":16.713507496646685},null,null,{"$f":"K447+K448","v":16.000188763707406},{"$f":"L447+L448","v":14.252387581489202},null,null,{"$f":"ROW()","v":450},null,{"$f":"Q447+Q448","v":26.864052080953982},{"$f":"R447+R448","v":22.16278478958759}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":451}]
[null,"2. Duration of a typical trip that begins and ends in CBD (minutes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,null,null,null,null,null,"W E E K D A Y S",null,null,null,"W E E K E N D S",null,null,null,{"$f":"ROW()","v":453},null,"W E E K D A Y    E V E N I N G S"]
[null,null,null,null,null,null,"Before","After","% imprvmnt",null,"Before","After","% imprvmnt",null,{"$f":"ROW()","v":454},null,"Before","After","% imprvmnt"]
[null,"Average Speed (mph)",null,null,null,null,{"$f":"'Motor Vs'!H1027","v":7.9566975814690171},{"$f":"'Motor Vs'!H1028","v":9.583889585161236},{"$f":"H455/G455-1","v":0.20450595074543432},null,{"$f":"'Motor Vs Weekends'!H1027","v":9.8998557109707424},{"$f":"'Motor Vs Weekends'!H1028","v":11.117061699247159},{"$f":"L455/K455-1","v":0.12295189180661925},null,{"$f":"ROW()","v":455},null,{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!L1011","v":7.1683491347461699},{"$f":"R455/Q455-1","v":0.21445646710712429}]
[null,"Pickup time, minutes",null,null,null,null,{"$f":"G444","v":0.25},{"$f":"H444","v":0.25},null,null,{"$f":"K444","v":0.25},{"$f":"L444","v":0.25},null,null,{"$f":"ROW()","v":456},null,{"$f":"Q444","v":0.25},{"$f":"R444","v":0.25}]
[null,"Dropoff time, minutes",null,null,null,null,{"$f":"G445","v":0.4},{"$f":"H445","v":0.4},null,null,{"$f":"K445","v":0.4},{"$f":"L445","v":0.4},null,null,{"$f":"ROW()","v":457},null,{"$f":"Q445","v":0.4},{"$f":"R445","v":0.4}]
[null,"Travel time, minutes",null,null,null,null,{"$f":"$L$196*60/G455","v":16.208677603364208},{"$f":"$L$196*60/H455","v":13.456701972566529},null,null,{"$f":"$L$196*60/K455","v":13.027214704006322},{"$f":"$L$196*60/L455","v":11.600866251757209},null,null,{"$f":"ROW()","v":458},null,{"$f":"$L$196*60/Q455","v":21.849587290383166},{"$f":"$L$196*60/R455","v":17.991247839809038}]
[null,"Total time, minutes",null,null,null,null,{"$f":"SUM(G456:G458)","v":16.858677603364207},{"$f":"SUM(H456:H458)","v":14.10670197256653},{"$f":"1-H459/G459","v":0.16323792977976581},null,{"$f":"SUM(K456:K458)","v":13.677214704006323},{"$f":"SUM(L456:L458)","v":12.250866251757209},{"$f":"1-L459/K459","v":0.10428647082883835},null,{"$f":"ROW()","v":459},null,{"$f":"SUM(Q456:Q458)","v":22.499587290383165},{"$f":"SUM(R456:R458)","v":18.641247839809036},{"$f":"1-R459/Q459","v":0.17148489884626772}]
[null,"Time lost cruising between fares, minutes",null,null,null,null,{"$f":"G458*$L$194/$L$200","v":8.7277494787345731},{"$f":"H458*$L$427/(1-$L$427)","v":6.6738037389788225},null,null,{"$f":"K458*$L$194/$L$200","v":7.0146540713880192},{"$f":"L458*$N$427/(1-$N$427)","v":5.9349442321789505},null,null,{"$f":"ROW()","v":460},null,{"$f":"Q458*$L$194/$L$200","v":11.765162387129395},{"$f":"R458*$L$427/(1-$L$427)","v":8.9226957204664803}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461}]
[null,"3. Duration of a typical trip that doesn't relate to CBD (minutes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":462}]
[null,null,null,null,null,null,"W E E K D A Y S",null,null,null,"W E E K E N D S",null,null,null,{"$f":"ROW()","v":463},null,"W E E K D A Y S"]
[null,null,null,null,null,null,"Before","After","% imprvmnt",null,"Before","After","% imprvmnt",null,{"$f":"ROW()","v":464},null,"Before","After","% imprvmnt"]
[null,"Average Speed (mph)",null,null,null,null,{"$f":"'Motor Vs'!H1032","v":20.941636611133816},{"$f":"'Motor Vs'!H1033","v":22.267344389813925},{"$f":"H465/G465-1","v":6.3304879331889552E-2},null,{"$f":"'Motor Vs Weekends'!H1032","v":29.11671218466898},{"$f":"'Motor Vs Weekends'!H1033","v":30.242611964706345},{"$f":"L465/K465-1","v":3.8668506694591542E-2},null,{"$f":"ROW()","v":465},null,{"$f":"'Motor Vs'!L217","v":15.562241535911015},{"$f":"'Motor Vs'!L1015","v":16.509152455759729},{"$f":"R465/Q465-1","v":6.0846692146735215E-2}]
[null,"Pickup time, minutes",null,null,null,null,{"$f":"G444","v":0.25},{"$f":"H444","v":0.25},null,null,{"$f":"K444","v":0.25},{"$f":"L444","v":0.25},null,null,{"$f":"ROW()","v":466},null,{"$f":"Q444","v":0.25},{"$f":"R444","v":0.25}]
[null,"Dropoff time, minutes",null,null,null,null,{"$f":"G445","v":0.4},{"$f":"H445","v":0.4},null,null,{"$f":"K445","v":0.4},{"$f":"L445","v":0.4},null,null,{"$f":"ROW()","v":467},null,{"$f":"Q445","v":0.4},{"$f":"R445","v":0.4}]
[null,"Travel time, minutes",null,null,null,null,{"$f":"$L$192*60/G465","v":14.886814817799724},{"$f":"$L$192*60/H465","v":14.000513970323933},null,null,{"$f":"$L$192*60/K465","v":10.707055942111285},{"$f":"$L$192*60/L465","v":10.308443813498211},null,null,{"$f":"ROW()","v":468},null,{"$f":"$L$192*60/Q465","v":20.032735354493003},{"$f":"$L$192*60/R465","v":18.883723258781764}]
[null,"Total time, minutes",null,null,null,null,{"$f":"SUM(G466:G468)","v":15.536814817799725},{"$f":"SUM(H466:H468)","v":14.650513970323933},{"$f":"1-H469/G469","v":5.7045208935643799E-2},null,{"$f":"SUM(K466:K468)","v":11.357055942111286},{"$f":"SUM(L466:L468)","v":10.958443813498212},{"$f":"1-L469/K469","v":3.5098191876914542E-2},null,{"$f":"ROW()","v":469},null,{"$f":"SUM(Q466:Q468)","v":20.682735354493001},{"$f":"SUM(R466:R468)","v":19.533723258781762},{"$f":"1-R469/Q469","v":5.5554165153577473E-2}]
[null,"Time lost cruising between fares, minutes",null,null,null,null,{"$f":"G468*$L$194/$L$200","v":8.0159772095844666},{"$f":"H468*$L$427/(1-$L$427)","v":6.9435053754818643},null,null,{"$f":"K468*$L$194/$L$200","v":5.765337814982999},{"$f":"L468*$N$427/(1-$N$427)","v":5.2737474793655972},null,null,{"$f":"ROW()","v":470},null,{"$f":"Q468*$L$194/$L$200","v":10.786857498573154},{"$f":"R468*$L$427/(1-$L$427)","v":9.3653157472924793}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471}]
[null,"4. Now apply weights to three types of trips (based on \"before\")",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473}]
[null,"Total trips",null,null,null,{"$f":"L69","v":304946.14061270922},null,null,"miles",null,{"$f":"M69","v":281051.4791438434},null,null,"miles",{"$f":"ROW()","v":474},{"$f":"L69","v":304946.14061270922},null,null,"miles"]
[null,"of which trips into CBD are:",null,null,null,null,{"$f":"H475*$F$474","v":21417.38394236593},{"$f":"L236","v":7.0233333333333287E-2},{"$f":"L223","v":3.1619227144203603},{"$f":"CONCATENATE(\"%'s are from Row \",$O$236, \".\")","v":"%'s are from Row 236."},null,{"$f":"$M$69/$L$69*G475","v":19739.18221853592},{"$f":"M236","v":7.0233333333333287E-2},{"$f":"I475","v":3.1619227144203603},{"$f":"ROW()","v":475},null,{"$f":"R475*$P$474","v":21417.38394236593},{"$f":"L236","v":7.0233333333333287E-2},{"$f":"L223","v":3.1619227144203603}]
[null,"we assume trips out of CBD are same as into, yielding:",null,null,null,null,{"$f":"H476*$F$474","v":21417.38394236593},{"$f":"H475","v":7.0233333333333287E-2},{"$f":"L223","v":3.1619227144203603},{"$f":"CONCATENATE(\"%'s are from Row \",$O$475, \".\")","v":"%'s are from Row 475."},null,{"$f":"$M$69/$L$69*G476","v":19739.18221853592},{"$f":"M475","v":7.0233333333333287E-2},{"$f":"I476","v":3.1619227144203603},{"$f":"ROW()","v":476},null,{"$f":"R476*$P$474","v":21417.38394236593},{"$f":"R475","v":7.0233333333333287E-2},{"$f":"L223","v":3.1619227144203603}]
[null,"intra-CBD trips are:",null,null,null,null,{"$f":"H477*F474","v":186627.03805497807},{"$f":"$J$261","v":0.6120000000000001},{"$f":"L221","v":1.7999999999999998},{"$f":"CONCATENATE(\"%'s are from Cell J\",$O$261, \".\")","v":"%'s are from Cell J261."},null,{"$f":"$M$69/$L$69*G477","v":172003.50523603219},{"$f":"$J$261","v":0.6120000000000001},{"$f":"I477","v":1.7999999999999998},{"$f":"ROW()","v":477},null,{"$f":"H477*P474","v":186627.03805497807},{"$f":"$J$261","v":0.6120000000000001},{"$f":"L221","v":1.7999999999999998}]
[null,"non-CBD trips are:",null,null,null,null,{"$f":"L69*(1-H261)","v":54066.950730633347},{"$f":"1-SUM(H475:H477)","v":0.24753333333333338},{"$f":"L222","v":5.1959044368600686},"%'s are complements of sum of 3 prior rows.",null,{"$f":"$M$69/$L$69*G478","v":49830.427252203437},{"$f":"L478/K$474","v":0.17730000000000001},{"$f":"I478","v":5.1959044368600686},{"$f":"ROW()","v":478},null,{"$f":"L69*(1-H261)","v":54066.950730633347},{"$f":"1-SUM(R475:R477)","v":0.24753333333333338},{"$f":"L222","v":5.1959044368600686}]
[null,null,null,null,null,null,null,null,"CBD total miles (incl. cruising) ",null,null,null,null,"CBD total miles (incl. cruising) ",{"$f":"ROW()","v":479},null,null,null,"CBD total miles (incl. cruising) "]
[null,null,null,null,null,"% of miles w/i CBD","miles w/i CBD","CBD fare miles ",null,null,"% of miles w/i CBD","miles w/i CBD","CBD fare miles ",null,{"$f":"ROW()","v":480},"% of miles w/i CBD","miles w/i CBD","CBD fare miles "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":481}]
[null,"Trips into CBD:",null,{"$f":"CONCATENATE(\"%'s in Rows \",O482, \" & \",O483, \" are Komanoff assumptions. Other calculations in this block are straightforward multiplications.\")","v":"%'s in Rows 482 & 483 are Komanoff assumptions. Other calculations in this block are straightforward multiplications."},null,0.5,{"$f":"F482*I475","v":1.5809613572101802},{"$f":"G475*G482","v":33860.056385414362},{"$f":"CONCATENATE(\"fare miles in Row \",$O486, \" x multiplier in Row \",$O202,\".\")","v":"fare miles in Row 486 x multiplier in Row 202."},null,0.5,{"$f":"K482*N475","v":1.5809613572101802},{"$f":"L475*L482","v":31206.884310435602},{"$f":"CONCATENATE(\"fare miles in Row \",$O486, \" x multiplier in Row \",$O202,\".\")","v":"fare miles in Row 486 x multiplier in Row 202."},{"$f":"ROW()","v":482},0.5,{"$f":"P482*S475","v":1.5809613572101802},{"$f":"Q475*Q482","v":33860.056385414362},{"$f":"CONCATENATE(\"fare miles in Row \",$O486, \" x multiplier in Row \",$O202,\".\")","v":"fare miles in Row 486 x multiplier in Row 202."}]
[null,"Trips out of CBD:",null,null,null,{"$f":"F482","v":0.5},{"$f":"F483*I476","v":1.5809613572101802},{"$f":"G476*G483","v":33860.056385414362},null,null,{"$f":"K482","v":0.5},{"$f":"K483*N476","v":1.5809613572101802},{"$f":"L476*L483","v":31206.884310435602},null,{"$f":"ROW()","v":483},{"$f":"P482","v":0.5},{"$f":"P483*S476","v":1.5809613572101802},{"$f":"Q476*Q483","v":33860.056385414362}]
[null,"Intra-CBD trips:",null,null,null,1,{"$f":"F484*I477","v":1.7999999999999998},{"$f":"G477*G484","v":335928.6684989605},null,null,1,{"$f":"K484*N477","v":1.7999999999999998},{"$f":"L477*L484","v":309606.3094248579},null,{"$f":"ROW()","v":484},1,{"$f":"P484*S477","v":1.7999999999999998},{"$f":"Q477*Q484","v":335928.6684989605}]
[null,"Non-CBD trips:",null,null,null,0,0,{"$f":"G477*G485","v":0},null,null,0,0,{"$f":"L477*L485","v":0},null,{"$f":"ROW()","v":485},0,0,{"$f":"Q477*Q485","v":0}]
[null,null,null,null,null,null,null,{"$f":"SUM(H482:H485)","v":403648.78126978921},{"$f":"H486*$L202","v":620998.12503044493},null,null,null,{"$f":"SUM(M482:M485)","v":372020.07804572908},{"$f":"M486*$L202","v":572338.58160881395},{"$f":"ROW()","v":486},null,null,{"$f":"SUM(R482:R485)","v":403648.78126978921},{"$f":"R486*$L202","v":620998.12503044493}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":487}]
[null,"5. Calculate fares per hour and per shift, using durations of three types of trips, weighted (arithmetically) by their percent shares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":489}]
[null,null,null,null,null,"W E E K D A Y S",null,null,null,null,"W E E K E N D S",null,null,null,{"$f":"ROW()","v":490},"W E E K D A Y    E V E N I N G S"]
[null,null,null,null,null,null,null,null,"Numerical",null,null,null,null,"Numerical",{"$f":"ROW()","v":491},null,null,null,"Numerical"]
[null,null,null,null,null,"Before","After","% imprvmnt","Change",null,"Before","After","% imprvmnt","Change",{"$f":"ROW()","v":492},"Before","After","% imprvmnt","Change"]
[null,"Average Speed (mph) ",null,null,null,{"$f":"$H$475*G443+$H$476*G443+$H$477*G455+$H$478*G465","v":11.486004408331285},{"$f":"$H$475*H443+$H$476*H443+$H$478*H465+$H$477*H455","v":13.064305958062494},{"$f":"G493/F493-1","v":0.1374108431115002},null,null,{"$f":"$M$475*K443+$M$476*K443+$M$477*K455+$M$478*K465","v":13.03673177701196},{"$f":"$M$475*L443+$M$476*L443+$M$478*L465+$M$477*L455","v":14.178796918500844},{"$f":"L493/K493-1","v":8.7603638781823978E-2},null,{"$f":"ROW()","v":493},{"$f":"$R$475*Q443+$R$476*Q443+$R$477*Q455+$R$478*Q465","v":8.5276920481035852},{"$f":"$R$475*R443+$R$476*R443+$R$477*R455+$R$478*R465","v":9.7333126159358851},{"$f":"Q493/P493-1","v":0.14137712302831207}]
[null,"Pickup time, minutes",null,null,null,{"$f":"G444","v":0.25},{"$f":"H444","v":0.25},null,null,null,{"$f":"F494","v":0.25},{"$f":"G494","v":0.25},null,null,{"$f":"ROW()","v":494},{"$f":"Q444","v":0.25},{"$f":"R444","v":0.25}]
[null,"Dropoff time, minutes",null,null,null,{"$f":"G445","v":0.4},{"$f":"H445","v":0.4},null,null,null,{"$f":"F495","v":0.4},{"$f":"G495","v":0.4},null,null,{"$f":"ROW()","v":495},{"$f":"Q445","v":0.4},{"$f":"R445","v":0.4}]
[null,"Travel time, minutes",null,null,null,{"$f":"$G$261*60/F493","v":14.030988868775278},{"$f":"$G$261*60/G493","v":12.335902153343392},{"$f":"1-G496/F496","v":0.12081021026280991},null,null,{"$f":"$G$261*60/K493","v":12.361993999460665},{"$f":"$G$261*60/L493","v":11.36626759846701},{"$f":"1-L496/K496","v":8.0547393975203163E-2},null,{"$f":"ROW()","v":496},{"$f":"$G$261*60/P493","v":18.898431028104408},{"$f":"$G$261*60/Q493","v":16.557569489357661},{"$f":"1-Q496/P496","v":0.12386539047953682}]
[null,"Total time, minutes",null,null,null,{"$f":"SUM(F494:F496)","v":14.680988868775279},{"$f":"SUM(G494:G496)","v":12.985902153343392},{"$f":"1-G497/F497","v":0.11546134463987878},null,null,{"$f":"SUM(K494:K496)","v":13.011993999460666},{"$f":"SUM(L494:L496)","v":12.01626759846701},{"$f":"1-L497/K497","v":7.6523736564505618E-2},null,{"$f":"ROW()","v":497},{"$f":"SUM(P494:P496)","v":19.548431028104407},{"$f":"SUM(Q494:Q496)","v":17.20756948935766},{"$f":"1-Q497/P497","v":0.11974677330274408}]
[null,"Time lost cruising between fares, minutes",null,null,null,{"$f":"F496*$L$194/$L$200","v":7.5551478524174573},{"$f":"G496*$L$427/(1-$L$427)","v":6.1179470335671065},null,null,null,{"$f":"K496*$L$194/$L$200","v":6.6564583074018966},{"$f":"L496*$N$427/(1-$N$427)","v":5.8149247531154185},null,null,{"$f":"ROW()","v":498},{"$f":"P496*$L$194/$L$200","v":10.176078245902373},{"$f":"Q496*$L$427/(1-$L$427)","v":8.211668014328577}]
[null,"Total time, minutes, including cruising time",null,null,null,{"$f":"F497+F498","v":22.236136721192736},{"$f":"G497+G498","v":19.103849186910498},{"$f":"1-G499/F499","v":0.14086473624246643},null,null,{"$f":"K497+K498","v":19.668452306862562},{"$f":"L497+L498","v":17.83119235158243},{"$f":"1-L499/K499","v":9.3411516402797434E-2},null,{"$f":"ROW()","v":499},{"$f":"P497+P498","v":29.724509274006778},{"$f":"Q497+Q498","v":25.419237503686237},{"$f":"1-Q499/P499","v":0.14483912015615263}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":500}]
[null,"Fares per hour (including time lost cruising)",null,null,null,{"$f":"60/F499","v":2.6983104462932817},{"$f":"60/G499","v":3.1407283115023001},{"$f":"G501/F501-1","v":0.16396106897809926},null,null,{"$f":"60/K499","v":3.0505704802744074},{"$f":"60/L499","v":3.3648899533448922},{"$f":"L501/K501-1","v":0.10303629275341675},null,{"$f":"ROW()","v":501},{"$f":"60/P499","v":2.0185362673915783},{"$f":"60/Q499","v":2.3604169869886515},{"$f":"Q501/P501-1","v":0.16937061033778855}]
[null,"Fares per shift lasting (hrs)",null,null,10,{"$f":"F501*$E$502","v":26.983104462932815},{"$f":"G501*$E$502","v":31.407283115023002},{"$f":"G502/F502-1","v":0.16396106897809926},{"$f":"G502-F502","v":4.4241786520901876},null,{"$f":"K501*$E$502","v":30.505704802744074},{"$f":"L501*$E$502","v":33.648899533448919},{"$f":"L502/K502-1","v":0.10303629275341653},{"$f":"L502-K502","v":3.1431947307048453},{"$f":"ROW()","v":502},{"$f":"P501*$E$502","v":20.185362673915783},{"$f":"Q501*$E$502","v":23.604169869886515},{"$f":"Q502/P502-1","v":0.16937061033778855},{"$f":"Q502-P502","v":3.4188071959707322}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,"Block directly below recalculates fares per shift, reflecting prospective increase in number of taxi medallions treated in Section L, below",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,"% Increase in number of taxi medallions",null,null,null,null,{"$f":"L696/L180","v":0},{"$f":"CONCATENATE(\"ratio of increase in Row \",O696, \" to baseline number in Row \",O180, \".\")","v":"ratio of increase in Row 696 to baseline number in Row 180."},null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"# Fares/shift, reflecting incrs'd # of medallions",null,null,null,"Weekdays:",{"$f":"G502/(1+$G$506)","v":31.407283115023002},{"$f":"CONCATENATE(\"Row \",O502, \" prorated by increase in Cell G\",O506, \".\")","v":"Row 502 prorated by increase in Cell G506."},null,null,"Weekends:",{"$f":"L502/(1+$G$506)","v":33.648899533448919},null,null,{"$f":"ROW()","v":507}]
[null,"Change in # fares/shift, reflecting all factors:",null,null,null,"Weekdays:",{"$f":"G507-F502","v":4.4241786520901876},{"$f":"G508/F502","v":0.16396106897809934},null,null,"Weekends:",{"$f":"L507-K502","v":3.1431947307048453},{"$f":"L508/K502","v":0.10303629275341661},null,{"$f":"ROW()","v":508}]
[null,null,"365-day averages:",null,"Baseline:",{"$f":"(F502*weekday_per_yr+K502*wkend_per_yr)/365","v":28.092964843969238},"W/ m'dallns:",{"$f":"(G507*weekday_per_yr+L507*wkend_per_yr)/365","v":32.11354582219829},"Change:",{"$f":"H509-F509","v":4.0205809782290522},{"$f":"J509/F509","v":0.14311700457960588},null,null,null,{"$f":"ROW()","v":509}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,"(reflects only changes in travel speed; does not yet reflect change in demand for taxicab rides … not to mention change in number of shifts driven)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,"Taxicab Fact Book (op. cit., p. 48) says typical shift lasts 10 hrs which includes a 50-min. break; and averages 30 fares.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513}]
[null,"We now calculate changes in trip durations for passengers, i.e., w/o cruising but w/ riders' hail time.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515}]
[null,null,null,null,"Weekdays",null,null,"Weekends/Holidays",null,null,null,null,null,null,{"$f":"ROW()","v":516}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":517}]
[null,null,null,null,"Orig. Value","New Value",null,"Orig. Value","New Value",null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,"1. Travel + pickup + dropoff, min.",null,null,{"$f":"F497","v":14.680988868775279},{"$f":"G497","v":12.985902153343392},{"$f":"CONCATENATE(\"(Row \",O497, \".)\")","v":"(Row 497.)"},{"$f":"K497","v":13.011993999460666},{"$f":"L497","v":12.01626759846701},null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":521}]
[null,"2. Hail time, baseline",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":523}]
[null,"The TLC's May 2012 Draft EIS for Taxi Medallion Sale reported the results of a survey (\"Taxicab Passenger Enhancements Program, TPEP)\" of NYC taxi riders during 2011-2012. The following figures for \"taxi wait time\" were reported (as a pie chart) on p. 58/425:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":524}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":525}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,null,null,null,"Assumed Duration","Percentage",null,"Weighted average at left matches wghtd avg in TLC, May 2012 Draft EIS for Taxi Medallion Sale, p. 400/425, Table 20: Estimated Taxi Wait-Time for Hailing a Taxi.",null,null,null,null,null,null,{"$f":"ROW()","v":527}]
[null,null,null,"Reported Duration",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,null,null,"Less than 2 minutes",1,0.59,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,null,null,"About 5 minutes",5,0.21,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,null,null,"About 10 minutes",10,0.08,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":531}]
[null,null,null,"More than 10 minutes",16,0.12,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":532}]
[null,null,null,"Weighted average",{"$f":"SUMPRODUCT(E529:E532,F529:F532)","v":4.3600000000000003},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534}]
[null,"We now stipulate and estimate factors that could change hail times from baseline values",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536}]
[null,"Factors affecting hail time (ratios are calculated either \"directly\" or as reciprocals, so that  values > 1 correspond to greater hail time; values < 1 correspond to lesser)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":537}]
[null,null,null,null,"Weekdays",null,null,"Weekends",null,null,null,null,null,null,{"$f":"ROW()","v":538}]
[null,"Factor",null,null,"Orig. Value","New Value","Ratio","Orig. Value","New Value","Ratio","Discussion",null,null,null,{"$f":"ROW()","v":539}]
[null,"(1) Fares per day",null,null,{"$f":"L69","v":304946.14061270922},{"$f":"E540*(1+K379)","v":322525.6995345889},{"$f":"F540/E540","v":1.0576480780722726},{"$f":"M69","v":281051.4791438434},{"$f":"H540*(1+M379)","v":291130.90810265188},{"$f":"I540/H540","v":1.0358632837995128},"More fares --> lower cruising % --> higher hail times.",null,null,null,{"$f":"ROW()","v":540}]
[null,"(2) # shifts (see note below)",null,null,{"$f":"L395","v":15247.30703063546},{"$f":"L403","v":15680.638325773534},{"$f":"E541/F541","v":0.97236520056547526},{"$f":"N395","v":14052.573957192169},{"$f":"N403","v":14302.340048637205},{"$f":"H541/I541","v":0.98253669744981109},"More shifts --> higher cruising % --> lower hail times.",null,null,null,{"$f":"ROW()","v":541}]
[null,"(3) # of Medallions",null,null,{"$f":"L180","v":13587},{"$f":"E542*(1+$M$696)","v":13587},{"$f":"E542/F542","v":1},{"$f":"M180","v":13587},{"$f":"H542*(1+$M$696)","v":13587},{"$f":"H542/I542","v":1},"More medallions --> higher cruising % --> lower hail times.",null,null,null,{"$f":"ROW()","v":542}]
[null,"(4) Cruising %",null,null,{"$f":"L194","v":0.35},{"$f":"E543/G543","v":0.34032782019791624},{"$f":"G540*G541*G542","v":1.0284201855624349},{"$f":"M194","v":0.35},{"$f":"H543/J543","v":0.34388784410743389},{"$f":"J540*J541*J542","v":1.0177736898738896},{"$f":"CONCATENATE(\"New = original x ratio. Latter = Rows \",O540, \" x \",O541, \" x \",O542, \".\")","v":"New = original x ratio. Latter = Rows 540 x 541 x 542."},null,null,null,{"$f":"ROW()","v":543}]
[null,"(5) (1) - (4) combined",null,null,null,null,{"$f":"PRODUCT(G540:G543)","v":1.057648078072273},null,null,{"$f":"PRODUCT(J540:J543)","v":1.0358632837995123},{"$f":"CONCATENATE(\"Values shown are products of Ratios in Rows \",O540, \"-\",O543, \".\")","v":"Values shown are products of Ratios in Rows 540-543."},null,null,null,{"$f":"ROW()","v":544}]
[null," % of taxi travel that's with fare",null,null,{"$f":"1-E543","v":0.65},{"$f":"1-F543","v":0.6596721798020837},null,{"$f":"1-H543","v":0.65},{"$f":"1-I543","v":0.65611215589256611},null,{"$f":"CONCATENATE(\"Fare % = complement of cruising % in Row \",O543, \".\")","v":"Fare % = complement of cruising % in Row 543."},null,null,null,{"$f":"ROW()","v":545}]
[null,"Taxi trip time, min.",null,null,{"$f":"F497","v":14.680988868775279},{"$f":"G497","v":12.985902153343392},{"$f":"F546/E546","v":0.88453865536012122},{"$f":"K497","v":13.011993999460666},{"$f":"L497","v":12.01626759846701},{"$f":"I546/H546","v":0.92347626343549438},{"$f":"CONCATENATE(\"Values are copied from Row \",502,\".\")","v":"Values are copied from Row 502."},null,null,null,{"$f":"ROW()","v":546}]
[null,"(6) Taxi trip time",null,null,null,null,{"$f":"1+(G546-1)*F545","v":0.92383336309853159},null,null,{"$f":"1+(J546-1)*I545","v":0.94979184622570745},{"$f":"CONCATENATE(\"Ratios = product of Row \",O546, \" ratios and Fare %'s in Row \",O545, \".\")","v":"Ratios = product of Row 546 ratios and Fare %'s in Row 545."},null,null,null,{"$f":"ROW()","v":547}]
[null,"Hail Time factor (5 & 6 combined)",null,null,null,null,{"$f":"G544*G547","v":0.97709058094020629},null,null,{"$f":"J544*J547","v":0.9838545007573628},{"$f":"CONCATENATE(\"Product of Row \",O544, \" and \",O547, \".\")","v":"Product of Row 544 and 547."},null,null,null,{"$f":"ROW()","v":548}]
[null,"Hail time, min.",null,null,{"$f":"$E$533","v":4.3600000000000003},{"$f":"MAX(0.001,E549*G548)","v":4.2601149328992998},null,{"$f":"$E$533","v":4.3600000000000003},{"$f":"MAX(0.001,H549*J548)","v":4.2896056233021023},null,{"$f":"CONCATENATE(\"Orig calc'd in Rows \",O527, \"-\",O533, \"; New = that x factor in Row \",O548, \".\")","v":"Orig calc'd in Rows 527-533; New = that x factor in Row 548."},null,null,null,{"$f":"ROW()","v":549}]
[null,"Note: \"Shifts, total\" (directly above) does not reflect possible increase in the number of medallion taxis; that factor is treated in Item #3.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,"We now add, to the \"new\" hail time values, possible increments reflecting additional passenger time to co-ordinate/manage taxi sharing with strangers as well as increased \"curb time\" to move the increased number of occupants into and out of the cab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[]
[null,"Possible increment (minutes)",null,null,null,0,null,null,0,null,"This parameter is best estimated as product of % of rides w/ stranger-sharing, and the additional minutes per ride.",null,null,null,{"$f":"ROW()","v":554}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555}]
[null,"Total hail time, including possible increments to manage taxi sharing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":556}]
[null,null,null,null,{"$f":"E549","v":4.3600000000000003},{"$f":"F549+F554","v":4.2601149328992998},null,{"$f":"H549","v":4.3600000000000003},{"$f":"I549+I554","v":4.2896056233021023},null,null,null,null,null,{"$f":"ROW()","v":557}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":558}]
[null,"Note: \"Shifts, total\" (directly above) does not reflect possible increase in the number of medallion taxis; that factor is treated in Item #3.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560}]
[null,"3. Passengers' total trip time, minutes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,null,null,null,"Weekdays",null,null,"Weekends",null,null,null,null,null,null,{"$f":"ROW()","v":562}]
[null,null,null,null,"Orig. Value","New Value",null,"Orig. Value","New Value",null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O520, \" and \",O557, \".\")","v":"Sum of Rows 520 and 557."},null,null,{"$f":"E520+E557","v":19.04098886877528},{"$f":"F520+F557","v":17.246017086242691},null,{"$f":"H520+H557","v":17.371993999460667},{"$f":"I520+I557","v":16.305873221769112},null,null,null,null,null,{"$f":"ROW()","v":564}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,"We now incorporate the possible greater (or lesser?) weight that taxi users assign to a minute of hail time vis-à-vis a unit of in-cab travel time",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":567}]
[null,"Extent to which avg taxi user weights \"hail time\" relative to in-cab travel time, in weighing trip by taxi",null,null,null,"Weekdays","Wkend weighting vs. Wkday weighting",null,null,"Weekends","Komanoff assumptions",null,null,null,{"$f":"ROW()","v":568}]
[null,null,null,null,null,1,1,null,null,{"$f":"F569*G569","v":1},null,null,null,null,{"$f":"ROW()","v":569}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,null,null,null,"Weekdays",null,null,"Weekends",null,null,null,null,null,null,{"$f":"ROW()","v":571}]
[null,null,null,null,"Orig. Value","New Value",null,"Orig. Value","New Value",null,null,null,null,null,{"$f":"ROW()","v":572}]
[null,"Pasengers' \"felt\" trip time, minutes",null,null,{"$f":"E520+$F$569*E557","v":19.04098886877528},{"$f":"F520+$F$569*F557","v":17.246017086242691},null,{"$f":"H520+$F$569*H557","v":17.371993999460667},{"$f":"I520+$F$569*I557","v":16.305873221769112},null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,{"$f":"CONCATENATE(\"Same as Row \",O564, \" except that hail time from Row \",O522, \" is weighted (multiplied) by factor in Row \",O569, \".\")","v":"Same as Row 564 except that hail time from Row 522 is weighted (multiplied) by factor in Row 569."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,"Part I. Calculate Fare Surcharges as well as Fare Changes due to Speed Changes, and Compare the Two",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,"Some though not all of this section is vestigial and will be pruned in early 2018.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577}]
[null,{"$f":"CONCATENATE(\"Important Note #1: Medallion taxi fares are 'lumpy' -- they are incremented in units of $\",'Taxi Farecalcs'!B18, \"0. Thus, 'perturbing' a 'typical' fare with hypothesized surcharges or other changes may result in overstating or understating the average increase that would be experienced for the full range of rides. \")","v":"Important Note #1: Medallion taxi fares are 'lumpy' -- they are incremented in units of $0.50. Thus, 'perturbing' a 'typical' fare with hypothesized surcharges or other changes may result in overstating or understating the average increase that would be experienced for the full range of rides. "},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":579}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,{"$f":"CONCATENATE(\"Important Note #2: The sample fare calculations in the yellow array below (Rows \",O586, \"-\",O636, \") serve as an example only. The calculations of estimated fare impacts used elsewhere in this tab and in the rest of the BTA are performed in a separate tab, 'Taxi Farecalcs.' \"& \"There, calculations analogous to those in the array below are performed for a set of sample rides whose distances span a range around the figure (\", ROUND(C596,1), \" miles) used below. Moreover, those calculations \" & \" allow an alternative surcharge formulation that employs per-mile and per-minute (of wait time) charges rather than percentages as in the example below. The averages of those calculations are used to derive the estimated \" & \"fare changes from the surcharge or other changes.\")","v":"Important Note #2: The sample fare calculations in the yellow array below (Rows 586-636) serve as an example only. The calculations of estimated fare impacts used elsewhere in this tab and in the rest of the BTA are performed in a separate tab, 'Taxi Farecalcs.' There, calculations analogous to those in the array below are performed for a set of sample rides whose distances span a range around the figure (2.7 miles) used below. Moreover, those calculations  allow an alternative surcharge formulation that employs per-mile and per-minute (of wait time) charges rather than percentages as in the example below. The averages of those calculations are used to derive the estimated fare changes from the surcharge or other changes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":582}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":583}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":584}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":585}]
[null,"Fares for Sample Trips, both before and after application of new traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586}]
[null,"All results below incorporate following assumptions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":587}]
[null,"% trip duration in mode 1 (vehicle not in motion, i.e., zero mph)",null,null,null,null,null,null,null,null,0.15,null,null,null,{"$f":"ROW()","v":588}]
[null,"% trip duration in mode 3 (accelerating to or decelerating from normal/cruising speed and zero)",null,null,null,null,null,null,null,null,0.15,null,null,null,{"$f":"ROW()","v":589}]
[null,"Ratio of stdrd deviation of speed while cab in motion, to average cab speed (applies to modes 2 [normal/cruising] and 3)",null,null,null,null,null,null,null,null,0.5,null,null,null,{"$f":"ROW()","v":590}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",'Taxi Farecalcs'!$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",'Taxi Farecalcs'!$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":591}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":592}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":593}]
[null,{"$f":"CONCATENATE(\"This section, from Row \",O595, \" to Row \",O619, \", calculates weighted average fares for a typical medallion taxi trip.\")","v":"This section, from Row 595 to Row 619, calculates weighted average fares for a typical medallion taxi trip."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":594}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":595}]
[null,"Weekday",{"$f":"$L$187","v":2.6860000000000004},{"$f":"F$493","v":11.486004408331285},{"$f":"1/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C596/D596)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589)),C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C596/D596)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.59595368830418716},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))),(C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C596/((C596/D596)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.53005660402966082},{"$f":"'Taxi Farecalcs'!G$96","v":3.6333333333333333},{"$f":"ROUNDUP((C596/'Taxi Farecalcs'!$B$19)*E596,0)*'Taxi Farecalcs'!$B$18","v":4.5},{"$f":"ROUNDUP((C596/D596*60*F596/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":4},{"$f":"SUM(G596:I596)","v":12.133333333333333},{"$f":"'Taxi Farecalcs'!$C$34*J596","v":1.8199999999999998},{"$f":"J596+K596","v":13.953333333333333},null,null,{"$f":"ROW()","v":596}]
[null,"Weekend",{"$f":"M$187","v":2.6860000000000004},{"$f":"K$493","v":13.03673177701196},{"$f":"1/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C597/D597)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589)),C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C597/D597)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.6664371377658922},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))),(C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C597/((C597/D597)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.46875888907208929},{"$f":"'Taxi Farecalcs'!G$97","v":0},{"$f":"ROUNDUP((C597/'Taxi Farecalcs'!$B$19)*E597,0)*'Taxi Farecalcs'!$B$18","v":4.5},{"$f":"ROUNDUP((C597/D597*60*F597/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":3},7.5,{"$f":"'Taxi Farecalcs'!$C$34*J597","v":1.125},8.625,null,null,{"$f":"ROW()","v":597}]
[null,{"$f":"CONCATENATE(\"Miles are from Row \",$O$187, \". Speeds are from Cells F\",$O$493, \" , P\",$O$493, \", and K\",$O$493, \", respectively. % Miles are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows \",'Taxi Farecalcs'!O$36, \"-\",'Taxi Farecalcs'!O$67, \". Drop $, Miles $ and Wait (Time) $ use calc's described in 'Taxi Farecalcs' beginning in Row \",'Taxi Farecalcs'!O$90, \".\")","v":"Miles are from Row 187. Speeds are from Cells F493 , P493, and K493, respectively. % Miles are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows 36-67. Drop $, Miles $ and Wait (Time) $ use calc's described in 'Taxi Farecalcs' beginning in Row 90."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":598}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":599}]
[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":600}]
[null,"Weekday",{"$f":"$C$596","v":2.6860000000000004},{"$f":"G$493","v":13.064305958062494},{"$f":"1/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C601/D601)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589)),C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C601/D601)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.66751897319959075},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))),(C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C601/((C601/D601)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.46779494999655136},{"$f":"'Taxi Farecalcs'!G$96","v":3.6333333333333333},{"$f":"ROUNDUP((C601/'Taxi Farecalcs'!$B$19)*E601,0)*'Taxi Farecalcs'!$B$18","v":4.5},{"$f":"ROUNDUP((C601/D601*60*F601/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":3},{"$f":"SUM(G601:I601)","v":11.133333333333333},{"$f":"'Taxi Farecalcs'!$C$34*J601","v":1.67},{"$f":"J601+K601","v":12.803333333333333},null,null,{"$f":"ROW()","v":601}]
[null,"Weekend",{"$f":"$C$597","v":2.6860000000000004},{"$f":"L$493","v":14.178796918500844},{"$f":"1/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C602/D602)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589)),C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C602/D602)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.70711504130685876},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))),(C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C602/((C602/D602)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.43200333960787374},{"$f":"'Taxi Farecalcs'!G$97","v":0},{"$f":"ROUNDUP((C602/'Taxi Farecalcs'!$B$19)*E602,0)*'Taxi Farecalcs'!$B$18","v":5},{"$f":"ROUNDUP((C602/D602*60*F602/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":2.5},{"$f":"SUM(G602:I602)","v":7.5},{"$f":"'Taxi Farecalcs'!$C$34*J602","v":1.125},{"$f":"J602+K602","v":8.625},null,null,{"$f":"ROW()","v":602}]
[null,{"$f":"CONCATENATE(\"Miles are from Row \",$O$187, \". Speeds are from Cells F\",$O$493, \" , P\",$O$493, \", and K\",$O$493, \", respectively. % Miles are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows \",'Taxi Farecalcs'!O$36, \"-\",'Taxi Farecalcs'!O$67, \". Drop $, Miles $ and Wait (Time) $ use calc's described in 'Taxi Farecalcs' beginning in Row \",'Taxi Farecalcs'!O$90, \".\")","v":"Miles are from Row 187. Speeds are from Cells F493 , P493, and K493, respectively. % Miles are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows 36-67. Drop $, Miles $ and Wait (Time) $ use calc's described in 'Taxi Farecalcs' beginning in Row 90."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":604}]
[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":605}]
[null,"Weekday",{"$f":"$C$596","v":2.6860000000000004},{"$f":"D$601","v":13.064305958062494},{"$f":"1/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C606/D606)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589)),C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C606/D606)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.66751897319959075},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))),(C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C606/((C606/D606)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.46779494999655136},{"$f":"'Policy Levers'!#REF!","v":{"$error":"#REF!"}},{"$f":"'Policy Levers'!#REF!*H601*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,L$208,IF('Policy Levers'!$K$130=96,L$210,100%)))","v":{"$error":"#REF!"}},{"$f":"I601*'Policy Levers'!#REF!*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,L$214,IF('Policy Levers'!$K$130=96,L$218,1)))","v":{"$error":"#REF!"}},{"$f":"SUM(G606:I606)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J606","v":{"$error":"#REF!"}},{"$f":"J606+K606","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":606}]
[null,"Weekend",{"$f":"$C$597","v":2.6860000000000004},{"$f":"D$602","v":14.178796918500844},{"$f":"1/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C607/D607)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589)),C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C607/D607)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.70711504130685876},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))),(C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C607/((C607/D607)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.43200333960787374},{"$f":"G606*'Policy Levers'!$K$149","v":{"$error":"#REF!"}},{"$f":"'Policy Levers'!$K$149*'Policy Levers'!#REF!*H602*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,M$208,IF('Policy Levers'!$K$130=96,M$210,100%)))","v":{"$error":"#REF!"}},{"$f":"I602*'Policy Levers'!$K$149*'Policy Levers'!#REF!*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,M$214,IF('Policy Levers'!$K$130=96,M$218,1)))","v":{"$error":"#REF!"}},{"$f":"SUM(G607:I607)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J607","v":{"$error":"#REF!"}},{"$f":"J607+K607","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":607}]
[null,{"$f":"CONCATENATE(\"Miles, Speeds, and % Miles are all from Rows \",$O601, \"-\",$O602, \", i.e., no change from baseline. Drop $ is from 'Policy Levers' tab, Row \",'Policy Levers'!#REF!, \". Miles $ applies surcharge %'s from 'Policy Levers' tab, Row \",'Policy Levers'!#REF!, \", to baseline Miles $ in Rows \",O601, \"-\",O602, \", factored by percentage of mileage charges incurred within the specified taxi surcharge zone; that percentage is \" & \"selected via an IF statement that draws on values in Rows \",O$208, \" and \",O$210, \". Wait (Time) $ applies surcharge %'s from 'Policy Levers' tab, Row \",'Policy Levers'!#REF!, \", to baseline Wait $ in Rows \",O601, \"-\",O602, \", factored by percentage of wait-time charges incurred within the specified taxi surcharge zone; that percentage is \" & \"selected via an IF statement that draws on values in Rows \",O$214, \" and \",O$218, \".\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":608}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":609}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":612}]
[null,"Weekday",{"$f":"$C$596","v":2.6860000000000004},{"$f":"D$601","v":13.064305958062494},{"$f":"1/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C613/D613)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589)),C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C613/D613)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.66751897319959075},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))),(C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C613/((C613/D613)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.46779494999655136},{"$f":"G601+G606","v":{"$error":"#REF!"}},{"$f":"H601+H606","v":{"$error":"#REF!"}},{"$f":"I601+I606","v":{"$error":"#REF!"}},{"$f":"SUM(G613:I613)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J613","v":{"$error":"#REF!"}},{"$f":"J613+K613","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":613}]
[null,"Weekend",{"$f":"$C$597","v":2.6860000000000004},{"$f":"D$602","v":14.178796918500844},{"$f":"1/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C614/D614)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589)),C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C614/D614)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.70711504130685876},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))),(C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C614/((C614/D614)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.43200333960787374},{"$error":"#REF!"},{"$f":"H602+H607","v":{"$error":"#REF!"}},{"$f":"I602+I607","v":{"$error":"#REF!"}},{"$f":"SUM(G614:I614)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J614","v":{"$error":"#REF!"}},{"$f":"J614+K614","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":614}]
[null,{"$f":"CONCATENATE(\"Drop $, Miles $ and Wait (Time) $ are sums of respective figures in Rows \",O601, \"-\",O602, \" and \",O606, \"-\",O607, \".\")","v":"Drop $, Miles $ and Wait (Time) $ are sums of respective figures in Rows 601-602 and 606-607."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":615}]
[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616}]
[null,"Weekday",null,null,null,null,{"$f":"G613-G596","v":{"$error":"#REF!"}},{"$f":"H613-H596","v":{"$error":"#REF!"}},{"$f":"I613-I596","v":{"$error":"#REF!"}},{"$f":"SUM(G617:I617)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J617","v":{"$error":"#REF!"}},{"$f":"J617+K617","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":617}]
[null,"Weekend",null,null,null,null,{"$error":"#REF!"},{"$f":"H614-H597","v":{"$error":"#REF!"}},{"$f":"I614-I597","v":{"$error":"#REF!"}},{"$f":"SUM(G618:I618)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J618","v":{"$error":"#REF!"}},{"$f":"J618+K618","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":618}]
[null,{"$f":"CONCATENATE(\"Weekday changes are differences between Rows \",O613, \" and \",O596, \". Weekend changes are differences between Rows \",O614, \" and \",O597, \".\")","v":"Weekday changes are differences between Rows 613 and 596. Weekend changes are differences between Rows 614 and 597."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":619}]
[null,{"$f":"CONCATENATE(\"This section, from Row \",O621, \" to Row \",O636, \", calculates average fares for medallion taxi trips that both originate and end within Manhattan CBD.\")","v":"This section, from Row 621 to Row 636, calculates average fares for medallion taxi trips that both originate and end within Manhattan CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"Intra-CBD Travel Only: Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":621}]
[null,"Weekday",{"$f":"$L$221","v":1.7999999999999998},{"$f":"G455","v":7.9566975814690171},{"$f":"1/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C622/D622)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589)),C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C622/D622)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.33257878106906491},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))),(C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C622/((C622/D622)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.7419714660856368},{"$f":"'Taxi Farecalcs'!G$96","v":3.6333333333333333},{"$f":"ROUNDUP((C622/'Taxi Farecalcs'!$B$19)*E622,0)*'Taxi Farecalcs'!$B$18","v":1.5},{"$f":"ROUNDUP((C622/D622*60*F622/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":5.5},{"$f":"SUM(G622:I622)","v":10.633333333333333},{"$f":"'Taxi Farecalcs'!$C$34*J622","v":1.595},{"$f":"J622+K622","v":12.228333333333333},null,null,{"$f":"ROW()","v":622}]
[null,"Weekend",{"$f":"$M$221","v":1.7999999999999998},{"$f":"K455","v":9.8998557109707424},{"$f":"1/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C623/D623)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589)),C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C623/D623)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.49898676203942488},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))),(C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C623/((C623/D623)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.61032986956102708},{"$f":"'Taxi Farecalcs'!G$97","v":0},{"$f":"ROUNDUP((C623/'Taxi Farecalcs'!$B$19)*E623,0)*'Taxi Farecalcs'!$B$18","v":2.5},{"$f":"ROUNDUP((C623/D623*60*F623/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18","v":3.5},6,{"$f":"'Taxi Farecalcs'!$C$34*J623","v":0.89999999999999991},6.9,null,null,{"$f":"ROW()","v":623}]
[null,{"$f":"CONCATENATE(\"Miles are from Row \",$O$221, \". Speeds are from Row \",$O$455, \". % Miles and Minutes are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows \",'Taxi Farecalcs'!O$36, \"-\",'Taxi Farecalcs'!O$67, \". Drop $ are from 'Taxi Farecalcs' as well. Miles and Wait (Time) $ apply trip miles and minutes to %'s of trips greater than \",'Taxi Farecalcs'!F$19, \" mph and less than \",'Taxi Farecalcs'!F$20, \" mph, respectively, and surcharge %'s from 'Policy Levers' tab. No prorating for cordon zone miles or minutes is required since these figures apply only to intra-CBD trips.\")","v":"Miles are from Row 221. Speeds are from Row 455. % Miles and Minutes are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows 36-67. Drop $ are from 'Taxi Farecalcs' as well. Miles and Wait (Time) $ apply trip miles and minutes to %'s of trips greater than 12 mph and less than 12 mph, respectively, and surcharge %'s from 'Policy Levers' tab. No prorating for cordon zone miles or minutes is required since these figures apply only to intra-CBD trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":624}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":625}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626}]
[null,"Intra-CBD Travel Only: Taxi Fares with Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":627}]
[null,"Weekday",{"$f":"$C$622","v":1.7999999999999998},{"$f":"H455","v":9.583889585161236},{"$f":"1/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C628/D628)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589)),C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C628/D628)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.47584626333204127},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))),(C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C628/((C628/D628)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.62897281884260603},{"$f":"G613","v":{"$error":"#REF!"}},{"$f":"ROUNDUP((C628/'Taxi Farecalcs'!$B$19)*E628,0)*'Taxi Farecalcs'!$B$18*(1+'Policy Levers'!#REF!)","v":{"$error":"#REF!"}},{"$f":"ROUNDUP((C628/D628*60*F628/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18*(1+'Policy Levers'!#REF!)","v":{"$error":"#REF!"}},{"$f":"SUM(G628:I628)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J628","v":{"$error":"#REF!"}},{"$f":"J628+K628","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":628}]
[null,"Weekend",{"$f":"$C$623","v":1.7999999999999998},{"$f":"L455","v":11.117061699247159},{"$f":"1/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))*(1-$K$588-$K$589)*(C629/D629)*(1-NORMDIST('Taxi Farecalcs'!$F$19,C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589)),C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))+0.5/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))*$K$589*(C629/D629)*(1-NORMDIST('Taxi Farecalcs'!$F$19,0.5*C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589)),0.5*C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))*$K$590,TRUE))","v":0.57596457837465009},{"$f":"1-((1-NORMDIST('Taxi Farecalcs'!$F$20,(C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))),(C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*(1-$K$588-$K$589)+(1-NORMDIST('Taxi Farecalcs'!$F$20,0.5*(C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589))),0.5*(C629/((C629/D629)*((1-$K$588-$K$589)+0.5*$K$589)))*$K$590,TRUE))*$K$589)","v":0.54694362167864119},{"$f":"G614","v":{"$error":"#REF!"}},{"$f":"ROUNDUP((C629/'Taxi Farecalcs'!$B$19)*E629,0)*'Taxi Farecalcs'!$B$18*(1+'Policy Levers'!$K$149*'Policy Levers'!#REF!)","v":{"$error":"#REF!"}},{"$f":"ROUNDUP((C629/D629*60*F629/'Taxi Farecalcs'!$B$20),0)*'Taxi Farecalcs'!$B$18*(1+'Policy Levers'!$K$149*'Policy Levers'!#REF!)","v":{"$error":"#REF!"}},{"$f":"SUM(G629:I629)","v":{"$error":"#REF!"}},{"$f":"'Taxi Farecalcs'!$C$34*J629","v":{"$error":"#REF!"}},{"$f":"J629+K629","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":629}]
[null,{"$f":"CONCATENATE(\"Miles are from Row \",$O$221, \". Speeds are from Row \",$O$455, \". % Miles and Minutes are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows \",'Taxi Farecalcs'!O$36, \"-\",'Taxi Farecalcs'!O$67, \". Drop $ are from 'Taxi Farecalcs' as well. Miles and Wait (Time) $ apply trip miles and minutes to %'s of trips greater than \",'Taxi Farecalcs'!F$19, \" mph and less than \",'Taxi Farecalcs'!F$20, \" mph, respectively, and surcharge %'s from 'Policy Levers' tab. No prorating for cordon zone miles or minutes is required since these figures apply only to intra-CBD trips.\")","v":"Miles are from Row 221. Speeds are from Row 455. % Miles and Minutes are derived using procedure outlined in text box in 'Taxi Farecalcs' tab, Rows 36-67. Drop $ are from 'Taxi Farecalcs' as well. Miles and Wait (Time) $ apply trip miles and minutes to %'s of trips greater than 12 mph and less than 12 mph, respectively, and surcharge %'s from 'Policy Levers' tab. No prorating for cordon zone miles or minutes is required since these figures apply only to intra-CBD trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":630}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":631}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":632}]
[null,"Intra-CBD Travel Only: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,"Weekday",null,null,null,null,{"$f":"G628-G622","v":{"$error":"#REF!"}},{"$f":"H628-H622","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":634}]
[null,"Weekend",null,null,null,null,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":635}]
[null,{"$f":"CONCATENATE(\"All figures are differences between Rows \",O622, \"-\",O623, \" and \",O628, \"-\",O629, \".\")","v":"All figures are differences between Rows 622-623 and 628-629."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":636}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":637}]
[null,"F A R E   S U R C H A R G E   S U M M A R Y",null,null,null,null,null,"W E E K D A Y S",null,null,"W E E K E N D S",null,null,null,{"$f":"ROW()","v":638}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639}]
[null,{"$f":"CONCATENATE(\"Fares from example in array above (based on \",ROUND($C$596,1), \"-mile trip, not necessarily entirely w/i CBD\")","v":"Fares from example in array above (based on 2.7-mile trip, not necessarily entirely w/i CBD"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":640}]
[null,null,null,null,null,null,"Before","Change","After","Before","Change","After",null,null,{"$f":"ROW()","v":641}]
[null,"Fare (before tip), $",null,null,null,null,{"$f":"J596","v":12.133333333333333},{"$f":"J617","v":{"$error":"#REF!"}},{"$f":"G642+H642","v":{"$error":"#REF!"}},{"$f":"J597","v":7.5},{"$f":"J618","v":{"$error":"#REF!"}},{"$f":"J642+K642","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":642}]
[null,{"$f":"CONCATENATE(\"Before and after figures are shown in Rows \",$O$596, \"-\",$O$597,\" and \",O$613,\"-\",O$614,\".\")","v":"Before and after figures are shown in Rows 596-597 and 613-614."},null,null,null,null,"These figures are illustrative only.",null,null,null,null,null,null,null,{"$f":"ROW()","v":643}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":644}]
[null,{"$f":"CONCATENATE(\"Fares from array in 'Taxi Farecalcs' worksheet encompassing a range of distances greater and less than the \",ROUND($C$596,1), \"-mile average\")","v":"Fares from array in 'Taxi Farecalcs' worksheet encompassing a range of distances greater and less than the 2.7-mile average"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":645}]
[null,null,null,null,null,null,"Before","Change","After","Before","Change","After",null,null,{"$f":"ROW()","v":646}]
[null,"Fare (before tip), $",null,null,null,null,{"$f":"'Taxi Farecalcs'!M196","v":15.422777777777775},{"$f":"IF('Policy Levers'!K126=\"YES\",'Taxi Farecalcs'!W211,0)","v":0},{"$f":"G647+H647","v":15.422777777777775},{"$f":"'Taxi Farecalcs'!N196","v":9.8388888888888886},{"$f":"IF('Policy Levers'!K126=\"YES\",'Taxi Farecalcs'!X211,0)","v":0},{"$f":"J647+K647","v":9.8388888888888886},null,null,{"$f":"ROW()","v":647}]
[null,{"$f":"CONCATENATE(\"Before figures are from Rows \",'Taxi Farecalcs'!O196,\" of 'Taxi Farecalcs' worksheet tab. Change figures apply IF statement based on values in 'Policy Levers' tab, Rows \",'Policy Levers'!#REF!,\" and \",'Policy Levers'!#REF!,\", which determine whether the %-based option or mile/minute-based option has been selected for the surcharge. If former, then Change values here are taken from Cells M\",'Taxi Farecalcs'!O211,\" and N\",'Taxi Farecalcs'!O211,\". If latter, then Change values here are taken from Cells V\",'Taxi Farecalcs'!O203,\" and W\",'Taxi Farecalcs'!O203,\".\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":649}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,"Fare (with tip), $",null,null,null,null,{"$f":"G647*(1+'Taxi Farecalcs'!$C$34)","v":17.73619444444444},{"$f":"I651-G651","v":0},{"$f":"I647*(1+'Taxi Farecalcs'!$C$34)","v":17.73619444444444},{"$f":"J647*(1+'Taxi Farecalcs'!$C$34)","v":11.314722222222221},{"$f":"L651-J651","v":0},{"$f":"L647*(1+'Taxi Farecalcs'!$C$34)","v":11.314722222222221},null,null,{"$f":"ROW()","v":651}]
[null,"Total surcharge per ride",null,null,null,null,null,{"$f":"H647","v":0},null,null,{"$f":"K647","v":0},null,null,null,{"$f":"ROW()","v":652}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O647, \".\")","v":"Copied from Row 647."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":653}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654}]
[null,"Part J. Parameters used to calculate changes in other modes as result of changes in terms of taxi service",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":656}]
[null,null,null,null,null,null,null,"Weekdays",null,null,"Weekends",null,null,null,{"$f":"ROW()","v":657}]
[null,"Change in daily taxi passengers due to changes in fares, tolls, etc.",null,null,null,null,null,null,{"$f":"L356","v":26131.093255860673},null,null,{"$f":"N356","v":16328.382170711004},null,null,{"$f":"ROW()","v":658}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O356, \".\")","v":"Copied from Row 356."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":659}]
[null,"Est'd mode shares of taxi users' \"second choices\" if cabs deemed too costly",null,null,null,null,null,"Share","Split",null,"Share","Split",null,null,{"$f":"ROW()","v":660}]
[null,"Subway",null,null,null,null,null,0.45,{"$f":"-H661*$I$658","v":-11758.991965137304},null,0.4,{"$f":"-K661*$L$658","v":-6531.3528682844017},null,null,{"$f":"ROW()","v":661}]
[null,"Bus",null,{"$f":"CONCATENATE(\"Mode share assumptions are by Komanoff and should be considered rough approximations, pending more rigorous estimation. Mode splits are product of mode shares and change in weekday passengers shown in Row \",O658, \".\")","v":"Mode share assumptions are by Komanoff and should be considered rough approximations, pending more rigorous estimation. Mode splits are product of mode shares and change in weekday passengers shown in Row 658."},null,null,null,0.33,{"$f":"-H662*$I$658","v":-8623.2607744340221},null,0.25,{"$f":"-K662*$L$658","v":-4082.0955426777509},null,null,{"$f":"ROW()","v":662}]
[null,"Private Auto",null,null,null,null,null,0.15,{"$f":"-H663*$I$658","v":-3919.6639883791008},null,0.25,{"$f":"-K663*$L$658","v":-4082.0955426777509},null,null,{"$f":"ROW()","v":663}]
[null,"Bike or Walk",null,null,null,null,null,0.05,{"$f":"-H664*$I$658","v":-1306.5546627930337},null,0.08,{"$f":"-K664*$L$658","v":-1306.2705736568803},null,null,{"$f":"ROW()","v":664}]
[null,"No Travel",null,null,null,null,null,{"$f":"1-SUM(H661:H664)","v":1.9999999999999907E-2},{"$f":"-H665*$I$658","v":-522.62186511721097},null,{"$f":"1-SUM(K661:K664)","v":2.0000000000000018E-2},{"$f":"-K665*$L$658","v":-326.56764341422036},null,null,{"$f":"ROW()","v":665}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":666}]
[null,null,null,null,null,null,null,"Work trips","Non-wk trips","Combined","Work trips","Non-wk trips",null,null,{"$f":"ROW()","v":667}]
[null,"Split of private auto users (\"tolled out\" of taxi trips) (Komanoff assumption)",null,null,null,null,null,0.5,{"$f":"1-H668","v":0.5},null,{"$f":"1-L668","v":0.18994223708786018},{"$f":"((I668/H668)*('Weekday Hours'!J26/'Weekday Hours'!K26)*('Weekend Hours'!K24/'Weekend Hours'!J24))/(1+(I668/H668)*('Weekday Hours'!J26/'Weekday Hours'!K26)*('Weekend Hours'!K24/'Weekend Hours'!J24))","v":0.81005776291213982},null,null,{"$f":"ROW()","v":668}]
[null,"No. of private auto users",null,null,null,null,null,{"$f":"H668*$I663","v":-1959.8319941895504},{"$f":"I668*$I663","v":-1959.8319941895504},{"$f":"H669+I669","v":-3919.6639883791008},{"$f":"K668*$L663","v":-775.3623593825946},{"$f":"L668*$L663","v":-3306.7331832951563},{"$f":"K669+L669","v":-4082.0955426777509},null,{"$f":"ROW()","v":669}]
[null,"No. of private autos (incorporates auto occupany rates from H.I.S. worksheet)",null,null,null,null,null,{"$f":"H669/H.I.S.!G125","v":-1704.20173407787},{"$f":"I669/H.I.S.!H125","v":-1306.5546627930337},{"$f":"H670+I670","v":-3010.7563968709037},{"$f":"K669/H.I.S.!G125","v":-674.22813859356063},{"$f":"L669/H.I.S.!H125","v":-2204.4887888634375},{"$f":"K670+L670","v":-2878.7169274569983},null,{"$f":"ROW()","v":670}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":671}]
[null,"\"Splits\" calculated by prorating weekday splits by work vs. non-work splits in Weekday Hours and Weekend Hours worksheets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":672}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":673}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":674}]
[null,"Part L. Parameters for Assessing Impact of Adding Additional Medallion Cabs to the City's Yellow Taxi Fleet",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":675}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":676}]
[null,{"$f":"CONCATENATE(\"In late December 2011, Mayor Michael Bloomberg and Governor Andrew Cuomo announced an agreement to alter certain regulations applicable to for-hire vehicles in New York City. One provision commits the City \" & \"to auctioning 2,000 new taxi medallions during 2012-2014. This represents a \",ROUND(2000/L180*100,1), \"% increase in the size of the fleet of yellow cabs.\")","v":"In late December 2011, Mayor Michael Bloomberg and Governor Andrew Cuomo announced an agreement to alter certain regulations applicable to for-hire vehicles in New York City. One provision commits the City to auctioning 2,000 new taxi medallions during 2012-2014. This represents a 14.7% increase in the size of the fleet of yellow cabs."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":677}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":678}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":679}]
[null,{"$f":"CONCATENATE(\"Currently, medallion taxis account for an estimated \",ROUND('Motor Vs'!L119*100,1), \"% of VMT (vehicle miles traveled) within the Manhattan CBD. On a first approximation, a \",ROUND(2000/L180*100,0), \"% increase in the number of yellow cabs would be expected to add \",ROUNDDOWN(2000/L180*'Motor Vs'!L119*100,0), \"-\",,ROUNDDOWN(2000/L180*'Motor Vs'!L119*100,0)+1, \" percent (the product of \",ROUND('Motor Vs'!L119*100,1), \"% and \",ROUND(2000/L180*100,0), \"%) to CBD traffic (VMT). The impact of this additional traffic on travel speeds within the Manhattan CBD could be considerable.\")","v":"Currently, medallion taxis account for an estimated 19.8% of VMT (vehicle miles traveled) within the Manhattan CBD. On a first approximation, a 15% increase in the number of yellow cabs would be expected to add 2-3 percent (the product of 19.8% and 15%) to CBD traffic (VMT). The impact of this additional traffic on travel speeds within the Manhattan CBD could be considerable."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":680}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":681}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":682}]
[null,{"$f":"CONCATENATE(\"Indeed, the average medallion taxi logs an estimated \",ROUND('Motor Vs'!L118/Taxis!L180,0),\" miles driven within the Manhattan CBD on weekdays. This is calculated as the quotient of total taxi miles within the CBD from 'Motor Vs' worksheet tab, Row \",'Motor Vs'!O118,\", and current number of taxi medallions from Row \",O180,\" of this worksheet. By comparison, the typical automobile driven into the CBD accumulates just \",2*'Motor Vs'!I99,\" miles (slightly higher for through-trips, e.g., from Brooklyn to New Jersey). Again, on a first approximation, adding 2,000 new cabs could be expected to have the same impact on CBD traffic as adding \",ROUNDDOWN(2000/1000*('Motor Vs'!L118/Taxis!L180)/(2*'Motor Vs'!I99),-1), \",000 CBD-bound commuter automobiles.\")","v":"Indeed, the average medallion taxi logs an estimated 47 miles driven within the Manhattan CBD on weekdays. This is calculated as the quotient of total taxi miles within the CBD from 'Motor Vs' worksheet tab, Row 118, and current number of taxi medallions from Row 180 of this worksheet. By comparison, the typical automobile driven into the CBD accumulates just 2.5 miles (slightly higher for through-trips, e.g., from Brooklyn to New Jersey). Again, on a first approximation, adding 2,000 new cabs could be expected to have the same impact on CBD traffic as adding 30,000 CBD-bound commuter automobiles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":683}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":684}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":685}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":686}]
[null,"The BTA is well-suited to handle the multiple interactive effects of adding such a large traffic volume to the City's traffic mix. These effects include possible abandonment of car commuting by some travelers due to slower driving speeds, and possible increases in use of subways as a result. Indeed, it is conceivable that demand for (usage of) medallion taxi service could actually decline, if the general slowing of CBD travel more than offsets the increased ease of hailing (finding) taxis that the increase in the number of medallions is expected to provide.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":687}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":688}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":689}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":690}]
[null,{"$f":"CONCATENATE(\"However, modeling the impact is a bit more involved than simply inputting the increased number of medallion taxis into Cell L\",O180, \", the cell in this worksheet which displays the current number of medallions. That is because the BTA model is calibrated to reflect recent (2013) traffic conditions and to calculate the \" & \"impacts of congestion charging, rather than of 'exogenous' changes such as the number of medallion taxis. \")","v":"However, modeling the impact is a bit more involved than simply inputting the increased number of medallion taxis into Cell L180, the cell in this worksheet which displays the current number of medallions. That is because the BTA model is calibrated to reflect recent (2013) traffic conditions and to calculate the impacts of congestion charging, rather than of 'exogenous' changes such as the number of medallion taxis. "},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":691}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":692}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":693}]
[null,"Instead, we need to alter several cells within the 'Taxicabs' column blocks of the Motor Vs (and Motor Vs Weekends) worksheet tabs, to reflect the increased vehicle miles traveled associated with the additional medallion taxis. The procedure for doing so involves these two steps:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":694}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":695}]
[null,"First: Input number of additional medallions (2,000, presumably) in cell at right that ordinarily reads zero",null,null,null,null,null,null,null,null,"Numerical Chng in Medallions",0,{"$f":"L696/L180","v":0},"% Change",{"$f":"ROW()","v":696}]
[null,{"$f":"CONCATENATE(\"Second, go to 'Results' worksheet tab and, in Cell I\",Results!N27, \", select 'Baseline' scenario.\")","v":"Second, go to 'Results' worksheet tab and, in Cell I27, select 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":697}]
[null,"That's it. Traffic and other impacts will appear in the Results tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":698}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":699}]
[null,"Part M. Delays for Other Road Users Caused by One Taxi Trip Taking Place Entirely Within the Cordon, Weekdays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":700}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":701}]
[null,{"$f":"CONCATENATE(\"This calculation presents the time costs that a single and relatively short (\",L221, \"-mile) medallion taxi trip within the CBD imposes on other road users.\")","v":"This calculation presents the time costs that a single and relatively short (1.8-mile) medallion taxi trip within the CBD imposes on other road users."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":702}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":703}]
[null,null,null,null,"(1)","(2)","(3)","(4)","(5)","(6)",null,null,null,null,{"$f":"ROW()","v":704}]
[null,null,null,null,"Delays, Minutes/Mile","Delays, Minutes","Value of Veh-Hr in Traffic","Social \"Time cost\" of trip","Social \"Time cost\" of a mile","\"Time cost\" of minute in CBD",null,null,null,null,{"$f":"ROW()","v":705}]
[null,null,"Shift","Hours",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":706}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$f":"E707*$L$221","v":{"$error":"#REF!"}},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$f":"G707*F707/60","v":{"$error":"#REF!"}},{"$f":"H707/$L$221","v":{"$error":"#REF!"}},{"$f":"I707/(60/'Motor Vs'!G201)","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"(1) is from 'Delays' worksheet, Rows \",#REF!, \"-\",#REF!,\", adj'd for car vs. avg motor vehicle; (2) multiplies (1) x number of miles in typical intra-CBD taxi trip, from Row \",O221, \". Weighted Avg applies hourly VMT w/i CBD, from 'Motor Vs' worksheet, Row \",'Motor Vs'!O166, \".\")","v":{"$error":"#REF!"}},null,null,null,{"$f":"ROW()","v":707}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$f":"H708/$L$221","v":{"$error":"#REF!"}},{"$f":"I708/(60/'Motor Vs'!H201)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":708}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"I709/(60/'Motor Vs'!I201)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":709}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"I710/(60/'Motor Vs'!J201)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":710}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"I711/(60/'Motor Vs'!K201)","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"(3) is from 'Value of Time' worksheet, Row \",'Value of Time'!O90, \". Ideally, value of time would be varied according to time period, but this calculation is primarily illustrative and doesn't require that level of precision. (4) multiplies Columns F & G and divides by 60.\")","v":"(3) is from 'Value of Time' worksheet, Row 90. Ideally, value of time would be varied according to time period, but this calculation is primarily illustrative and doesn't require that level of precision. (4) multiplies Columns F & G and divides by 60."},null,null,null,{"$f":"ROW()","v":711}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"I712/(60/'Motor Vs'!L201)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":712}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"I713/(60/'Motor Vs'!M201)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":713}]
[null,null,null,"Weighted Averages",{"$f":"(E707*'Motor Vs'!G166+E708*'Motor Vs'!H166+E709*'Motor Vs'!I166+E710*'Motor Vs'!J166+E711*'Motor Vs'!K166+E712*'Motor Vs'!L166+E713*'Motor Vs'!M166)/SUM('Motor Vs'!G166:M166)","v":{"$error":"#REF!"}},{"$f":"(F707*'Motor Vs'!G166+F708*'Motor Vs'!H166+F709*'Motor Vs'!I166+F710*'Motor Vs'!J166+F711*'Motor Vs'!K166+F712*'Motor Vs'!L166+F713*'Motor Vs'!M166)/SUM('Motor Vs'!G166:M166)","v":{"$error":"#REF!"}},null,{"$f":"G713*F714/60","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"(J707*'Motor Vs'!G166+J708*'Motor Vs'!H166+J709*'Motor Vs'!I166+J710*'Motor Vs'!J166+J711*'Motor Vs'!K166+J712*'Motor Vs'!L166+J713*'Motor Vs'!M166)/SUM('Motor Vs'!G166:M166)","v":{"$error":"#REF!"}},null,null,null,null,{"$f":"ROW()","v":714}]
[null,null,null,"Rounded Delay Cost",null,null,"(rounded to nearest $0.50)",{"$f":"0.5*ROUND(2*H714,0)","v":{"$error":"#REF!"}},{"$f":"0.5*ROUND(2*I714,0)","v":{"$error":"#REF!"}},{"$f":"0.25*ROUND(4*J714,0)","v":{"$error":"#REF!"}},"(rounded to nearest $0.25)",null,null,null,{"$f":"ROW()","v":715}]
[null,null,"Ratio, delay cost / net fare ∆ w/ surcharge",null,null,null,{"$f":"H714/J634","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"Ratio of delay cost to net fare change uses average intra-CBD net fare change (w/o tip) from Cell J \",O634,\".\")","v":"Ratio of delay cost to net fare change uses average intra-CBD net fare change (w/o tip) from Cell J 634."},null,null,null,null,null,null,{"$f":"ROW()","v":716}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":717}]
[null,null,null,"Fare ∆ % of Delay Cost",null,null,{"$f":"1/G716","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"Reciprocal of Row \",O716, \".\")","v":"Reciprocal of Row 716."},null,null,null,null,null,null,{"$f":"ROW()","v":718}]
[null,null,null,"Weighted Avg for 6 am - 8 pm only",{"$f":"(E709*'Motor Vs'!I166+E710*'Motor Vs'!J166+E711*'Motor Vs'!K166+E712*'Motor Vs'!L166)/SUM('Motor Vs'!I166:L166)","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":719}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":720}]
[null,"Part N. Taxi Rider Demographics (material drawn upon in Value of Time worksheet)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":721}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":722}]
[null,"The following material is from Taxi 07: Roads Forward, a project of the Design Trust for Public Space and the New York City Taxi & Limousine Commission, published in 2007 (pp 78-79). All bold-faced parts within the quoted passages are our emphasis (added).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":723}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":724}]
[null,"Mostly Manhattanites",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":725}]
[null,"According to journey-to-work data from the 2000 U.S. Census—one of the most comprehensive recent statistical surveys of taxi usage in the city—taxi commuters are overwhelmingly concentrated in Manhattan below 96th Street, with the greatest concentration on the Upper East Side (U.S. Census Bureau, 2004). This corresponds with TLC surveying from the late 1980s and early 1990s, which found that 71 percent of total taxi trips were taken by Manhattan residents, 10 percent by outer-borough residents, 5 percent by NYC suburban residents, and 14 percent by people who live outside the New York City metropolitan area.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":726}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":727}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":728}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":729}]
[null,"Women",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":730}]
[null,"Based on the 2000 Census, 52 percent of taxi commuters are female, which means female workers are 7 percent more likely than their male counterparts to commute by taxi. The Regional Travel-Household Interview Survey, prepared for the New York Metropolitan Transportation Council (NYMTC), shows that women account for almost 60 percent of all taxi rides (Parsons Brinckerhoff, 2000).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":731}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":732}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":733}]
[null,"The Rich…But Not Exclusively",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":734}]
[null,"According to the 2000 Census, taxi commuters have an average salary of more than $85,000, more than twice the average salary for all NYC workers (U.S. Census Bureau, 2004). More nuanced data from NYMTC’s Regional Travel-Household Interview Survey shows that roughly a quarter of taxi riders, both commuters and non-commuters, earn less than $25,000 per year and another quarter earn more than $150,000 per year. Of all modes represented in this travel survey, only yellow medallion taxis have ridership shares of more than 20 percent at both ends of the income spectrum (Parsons Brinckerhoff, 2000).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":735}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":736}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":737}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":738}]
[null,"Super Users",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":739}]
[null,"Finally, a very small number of daily commuters account for a disproportionate number of taxi rides. Based on 2000 Census data, 1.6 percent of the city’s labor force, or 53,600 people, use taxis and other for-hire vehicles as their primary means of commuting to work on a daily basis. Although 53,600 people may not sound like a lot, given that commuting is a twice-a-workday event, these taxi commuters potentially generate in excess of 25 million trips per year (at 235 workdays per year, times twice per day), which is more than 10 percent of all taxicab usage. (CK note: With 172 million taxi trips per year by all riders -- see Section A -- these \"super users\" would account for 15% (25/172) of medallion taxicab usage.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":740}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":741}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":742}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":743}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":744}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":745}]
[null,"Part O. Green taxicabs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":746}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":747}]
[null,"Much of this preliminary section is taken from WSJ, \"Green Taxis Gaining Ground in New York City: Commission Says the Vehicles Now Make Over 43,000 Trips a Day,\" June 19, 2014, http://online.wsj.com/articles/green-taxis-gaining-ground-in-new-york-city-1403145481.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":748}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":749}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":750}]
[null,"Yellow cab ridership, daily # of fare trips, 2011",null,null,null,null,null,null,null,null,null,{"$f":"L69","v":304946.14061270922},null,null,{"$f":"ROW()","v":751}]
[null,{"$f":"CONCATENATE(\"from Row \",O69, \".\")","v":"from Row 69."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":752}]
[null,"Green cab ridership, daily # of fare trips, 2014",null,null,null,null,null,null,null,null,null,{"$f":"43000","v":43000},null,null,{"$f":"ROW()","v":753}]
[null,{"$f":"CONCATENATE(\"WSJ article cited in Row \",O759, \".\")","v":"WSJ article cited in Row 759."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":754}]
[null,"Ratio, green cab to yellow cab ridership (fares), mixing 2014 data (greens) with 2011 (yellows)",null,null,null,null,null,null,null,null,null,{"$f":"L753/L751","v":0.14100850698947293},null,null,{"$f":"ROW()","v":755}]
[null,{"$f":"CONCATENATE(\"Ratio Rows \",O753, \" to Row \",O751, \".\")","v":"Ratio Rows 753 to Row 751."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":756}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":757}]
[null,"The commission says the city's more than 5,200 green taxis are making more than 43,000 trips a day, up from 11,000 a day in November, when there were fewer on the street. Morningside Heights, Harlem and Astoria have seen the highest number of pick-ups by green cabs as of April 4, according to taxi commission data. Green taxis have logged more than 5.8 million trips overall, filling a transportation gap in neighborhoods with less access to mass transit, said Meera Joshi, the taxi commission's chairwoman.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":758}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":759}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":760}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":761}]
[null,"The city's green taxis collectively took in $18.6 million in fares and tips in April, up from $10.2 million in January, according to the TLC. The city has issued 6,000 \"street hail livery\" permits for green cabs... Ms. Joshi said she expects the commission to begin selling a second batch of 6,000 in August and potentially a third batch next year.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":762}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":763}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":764}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":765}]
[null,"Yellow cab sector monthly fares (includes tips), averaged over August 2013 - April 2014",null,null,null,null,null,null,null,null,null,{"$f":"2.04/9*1000","v":226.66666666666669},null,null,{"$f":"ROW()","v":766}]
[null,{"$f":"CONCATENATE(\"from WSJ article text, in block beginning in Cell P\",#REF!, \".\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":767}]
[null,"Green cab sector monthly fares (includes tips), April 2014",null,null,null,null,null,null,null,null,null,18.600000000000001,null,null,{"$f":"ROW()","v":768}]
[null,{"$f":"CONCATENATE(\"WSJ article text cited in Row \",O762, \".\")","v":"WSJ article text cited in Row 762."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":769}]
[null,"Ratio, green cab to yellow cab fares",null,null,null,null,null,null,null,null,null,{"$f":"L768/L766","v":8.2058823529411767E-2},null,null,{"$f":"ROW()","v":770}]
[null,{"$f":"CONCATENATE(\"Ratio Rows \",O768, \" to Row \",O766, \".\")","v":"Ratio Rows 768 to Row 766."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":771}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":772}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":773}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":774}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":775}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":776}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":777}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":778}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":779}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":780}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":781}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":782}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":783}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":784}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":785}]

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[null,"Taxi Farecalcs",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"A complex rate structure determines NYC yellow cab (taxi) fares. \n\nPart A of this worksheet parses the fare structure. \n\nPart B calculates fares for taxi trips of fixed distance that begin in (i) the CBD, (ii) the taxi zone north of the CBD, and (iii) other parts of NYC. Fares are calculated both for \"baseline\" and for whatever tolls and surcharges the model is running.\n\nPart C calculated fares for taxi trips encompassing a range of distances, to circumvent the \"lumpiness\" in medallion taxi fare \"rounding.\" This part has been shelved for the time being, however.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Part A. Medallion Taxi Fare Structure (based on http://www.nyc.gov/html/tlc/html/passenger/taxicab_rate.shtml)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,"Impact of Night & Peak-Hr Surcharges, Weekdays",null,null,null,{"$f":"ROW()","v":15}]
[null,"Standard City Rate (Rate Code 1)",null,null,null,null,null,"Rate Code also states: \"The fare shall include pre-assessment of the unit currently being accrued; the amount due may therefore include a full unit charge for a final, fractional unit.\" Our fare-calculation algorithms (below) therefore round-up the calculated number of fare units.",null,null,null,"4 pm - 8 pm","8 pm - 6 am","Other",{"$f":"ROW()","v":16}]
[null,2.8,"upon entry (includes \"Taxicab Imprvmnt Surcharge\" effective 1-1-2015)",null,null,null,null,null,null,null,"% of fares",{"$f":"2/3*(Taxis!K286/Taxis!M286)","v":0.22261746634303697},{"$f":"(Taxis!L286+Taxis!F286+Taxis!G286)/Taxis!M286","v":0.31310807830012766},{"$f":"1-M17-L17","v":0.46427445535683537},{"$f":"ROW()","v":17}]
[null,0.5,"for each additional unit, where a unit is:",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from TLC data for 24-h fare distributions shown in Row \",Taxis!$O$286, \", Cols. F-M. Some entries there had to be prorated.\")","v":"Calculated from TLC data for 24-h fare distributions shown in Row 286, Cols. F-M. Some entries there had to be prorated."},null,null,null,{"$f":"ROW()","v":18}]
[null,0.2,"miles, when cab is traveling at mph > or =",null,null,12,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,1,"minute when cab is traveling at mph < ",null,null,{"$f":"F19","v":12},null,null,null,null,"Surcharge",{"$f":"G23","v":1},{"$f":"G22","v":0.5},0,{"$f":"ROW()","v":20}]
[null,"Additional Charges",null,null,null,null,null,null,null,null,"Avg Surchrg",{"$f":"SUMPRODUCT(L20:N20,L17:N17)","v":0.3791715054931008},null,null,{"$f":"ROW()","v":21}]
[null,"Night surcharge after 8:00 PM & before 6:00 AM:",null,null,null,null,{"$f":"1/2","v":0.5},null,null,null,"Note: \"Ravitch\" (NYS) Surcharge not included in this box.",null,null,null,{"$f":"ROW()","v":22}]
[null,"Peak hour Weekday Surcharge, M-F 4:00 PM - 8:00 PM:",null,null,null,null,1,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"NY State Tax Surcharge (enacted 2009 as part of \"Ravitch Plan\")",null,null,null,null,{"$f":"1/2","v":0.5},null,null,null,"Impact of Night & Peak-Hr Surcharges, Weekends",null,null,null,{"$f":"ROW()","v":24}]
[null,"Source: \"Rate of Fare,\" NYC Taxi & Limousine Commission, <http://www.nyc.gov/html/tlc/html/passenger/taxicab_rate.shtml>.",null,null,null,null,null,null,null,null,null,"4 pm - 8 pm","8 pm - 6 am","Other",{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,"% of fares",{"$f":"(0.2*Taxis!S286+Taxis!T286)/Taxis!W286","v":0.20950665641597971},{"$f":"(Taxis!U286+Taxis!V286+0.6*Taxis!Q286)/Taxis!W286","v":0.39162144159067602},{"$f":"1-M26-L26","v":0.39887190199334427},{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from TLC data for 24-h fare distributions shown in Row \",Taxis!$O$286, \", Cols. Q-W. Some entries there had to be prorated.\")","v":"Calculated from TLC data for 24-h fare distributions shown in Row 286, Cols. Q-W. Some entries there had to be prorated."},null,null,null,{"$f":"ROW()","v":27}]
[null,"NYC Medallion Taxi Charges, translated into simpler terms",null,null,null,null,null,"Weekdays","Weekends",null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Drop",{"$f":"CONCATENATE(\"Sum of standard drop in Cell B\",O17,\", NYS surcharge in Cell G\",O24,\", + night or peak-hr surcharge in Row \",O22,\" (wkdays) or \",O23,\" (wknds).\")","v":"Sum of standard drop in Cell B17, NYS surcharge in Cell G24, + night or peak-hr surcharge in Row 22 (wkdays) or 23 (wknds)."},null,null,null,null,{"$f":"$B$17+$G$24+$L$21","v":3.6791715054931005},{"$f":"$B$17+$G$24+L30","v":3.4958107207953377},null,"Surcharge",0,{"$f":"G22","v":0.5},0,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,"Avg Surchrg",{"$f":"SUMPRODUCT(L29:N29,L26:N26)","v":0.19581072079533801},null,null,{"$f":"ROW()","v":30}]
[null,"Miles",{"$f":"CONCATENATE(\"(per addit'l mile traveled at \",F19, \" mph or more)\")","v":"(per addit'l mile traveled at 12 mph or more)"},null,null,"Figures don't reflect fare rounding-up. Don't use!",null,{"$f":"$B$18/$B$19","v":2.5},{"$f":"$B$18/$B$19","v":2.5},null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Wait Time",{"$f":"CONCATENATE(\"(per hour traveled at less than \",F20, \" mph)\")","v":"(per hour traveled at less than 12 mph)"},null,null,null,null,{"$f":"$B$18*60/$B$20","v":30},{"$f":"$B$18*60/$B$20","v":30},null,"Note: \"Ravitch\" (NYS) Surcharge not included in this box.",null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Tip:",0.15,{"$f":"CONCATENATE(\"NYC TLC DEIS cited below in Rows \",,126, \"-\",Taxis!O73, \", p. 4-8 (53 of 425): 'Tips from passengers average between approximately 10 and 20 percent of the fare.'\")","v":"NYC TLC DEIS cited below in Rows 126-73, p. 4-8 (53 of 425): 'Tips from passengers average between approximately 10 and 20 percent of the fare.'"},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Translating NYC Medallion Taxi Charges into estimated fares for typical trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Our travel model assumes the taxi is either (1) stationary, (2) in \"normal motion\" or (3) decelerating to zero from normal motion or accelerating to normal motion from zero. We further assume that the cab spends as much time in mode #3 as in mode #1. And, moreover, that during mode #3 the cab's average velocity is the mean of its normal-motion average velocity and zero, i.e., is half of its normal-motion average velocity. Finally, we assume that the distributions of speeds in modes 2 and 3 are \"normal\" (in statistical terms, i.e., bell-curved) around the respective means.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Here's an illustrative example, based on an actual taxi trip summarized in text box starting at Cell Q\",O55, \".\")","v":"Here's an illustrative example, based on an actual taxi trip summarized in text box starting at Cell Q55."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Assumptions, for this illustration only:",null,null,null,"Results for this illustration",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Trip distance in miles:",null,null,3.07,"Avg speed when cab is in normal motion (mode 2):",null,null,null,{"$f":"E45/((E45/E47)*((1-E50-E51)+0.5*E51))","v":8.443247579212743},null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Trip duration, in hours:",null,null,{"$f":"(28*60+9)/3600","v":0.46916666666666668},{"$f":"CONCATENATE(\"Calculation involves slightly elaborate algebra on Cells E\",45, \", E\",O47, \", E\",50, \" and E\",O51, \".\")","v":"Calculation involves slightly elaborate algebra on Cells E45, E47, E50 and E51."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Average trip speed, in mph:",null,null,{"$f":"E45/E46","v":6.5435168738898755},"Avg speed when cab is acce/decel (mode 3):",null,null,null,{"$f":"0.5*J45","v":4.2216237896063715},null,null,null,null,{"$f":"ROW()","v":47}]
[null,{"$f":"CONCATENATE(\"Cell E\",O46,\" is drawn from Cells T\",O57,\" and T\",O58, \".\")","v":"Cell E46 is drawn from Cells T57 and T58."},null,null,null,{"$f":"CONCATENATE(\"Half of Cell J\",O45, \".\")","v":"Half of Cell J45."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"These assumptions apply throughout worksheet:",null,null,null,"Distance traveled in mode 2",null,null,null,{"$f":"J45*(1-E50-E51)*E46","v":2.7729032258064517},null,null,null,null,{"$f":"ROW()","v":49}]
[null,"% duration in mode 1:",null,{"$f":"CONCATENATE(\"See text in Rows \",O37, \"-\",O41, \".\")","v":"See text in Rows 37-41."},0.15,{"$f":"CONCATENATE(\"Product of Cells J\",O45, \", E\",O46, \" and complement of sum of cells E\",O50, \" and E\",O51, \".\")","v":"Product of Cells J45, E46 and complement of sum of cells E50 and E51."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"% duration in mode 3:",null,null,{"$f":"E50","v":0.15},"Distance traveled in mode 3",null,null,null,{"$f":"J47*E51*E46","v":0.29709677419354841},null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Speed std dev, % avg",null,null,0.5,{"$f":"CONCATENATE(\"Product of Cells J\",O47, \", E\",O51, \" and E\",O46, \".\")","v":"Product of Cells J47, E51 and E46."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,"Total distance traveled (calculation check)",null,null,null,{"$f":"J49+J51","v":3.0700000000000003},null,null,null,null,{"$f":"ROW()","v":53}]
[null,"How Results at right are derived:",null,null,null,{"$f":"CONCATENATE(\"Sum of Cells J\",O49, \" and J\",O51, \"; must match figure in Cell E\",O45, \".\")","v":"Sum of Cells J49 and J51; must match figure in Cell E45."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"% of mode 2 speeds >= \",F$19,\" mph threshold\")","v":"% of mode 2 speeds >= 12 mph threshold"},null,null,null,{"$f":"1-NORMDIST($F$19,J45,J45*$E$52,TRUE)","v":0.19975179172390622},null,null,null,null,{"$f":"ROW()","v":55},null,"Below: A sample NYC taxi fare, per a correspondent's spec's from a weekday evening in early May, 2018"]
[null,{"$f":"CONCATENATE(\"Cell J\",O58, \": Portions of trip *not* below \",F20, \" mph threshold are those *above* that threshold for mode 2, derived in Cell J\",O55, \", and mode 3, derived in J\",O56, \". The algebraic equivalent of Cell J\",O58, \" is shown in Cell J\",O60, \". It is that formula -- all 250 characters' worth -- that we copy to other cells in this worksheet for which we need to estimate the % of trip minutes in which the taxicab is traveling below the \",F20, \" mph wait time ceiling value.\")","v":"Cell J58: Portions of trip *not* below 12 mph threshold are those *above* that threshold for mode 2, derived in Cell J55, and mode 3, derived in J56. The algebraic equivalent of Cell J58 is shown in Cell J60. It is that formula -- all 250 characters' worth -- that we copy to other cells in this worksheet for which we need to estimate the % of trip minutes in which the taxicab is traveling below the 12 mph wait time ceiling value."},null,null,null,{"$f":"CONCATENATE(\"% of mode 3 speeds >= \",F$19,\" mph threshold\")","v":"% of mode 3 speeds >= 12 mph threshold"},null,null,null,{"$f":"1-NORMDIST($F$19,J47,J47*$E$52,TRUE)","v":1.1434400817011969E-4},null,null,null,null,{"$f":"ROW()","v":56},null,"Distance:",null,null,3.07,"miles"]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Two rows above are complements of normal distributions on speeds in Cells J\",O45, \" and J\",O47, \" vis-à-vis threshold value in Cell F\",O19, \".\")","v":"Two rows above are complements of normal distributions on speeds in Cells J45 and J47 vis-à-vis threshold value in Cell F19."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57},null,"Duration:",null,null,"28m, 9s"]
[null,null,null,null,null,{"$f":"CONCATENATE(\"% of trip's speeds < \",F$19,\" mph threshold\")","v":"% of trip's speeds < 12 mph threshold"},null,null,null,{"$f":"1-(J55*(1-E50-E51)+J56*E51)","v":0.86015659419204016},null,null,null,null,{"$f":"ROW()","v":58},null,"Duration in minutes",null,null,{"$f":"(28*60+9)/60","v":28.15}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Complement of sum of two products; first is Cell J\",O55, \" times complement of sum of Cells E\",O50, \" and E\",O51, \"; second is Cell J\",O56, \" times E\",O51, \".\")","v":"Complement of sum of two products; first is Cell J55 times complement of sum of Cells E50 and E51; second is Cell J56 times E51."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Algebraic equivalent of Cell J\",O58, \":\")","v":"Algebraic equivalent of Cell J58:"},{"$f":"1-((1-NORMDIST($F$20,(E45/((E45/E47)*((1-E50-E51)+0.5*E51))),(E45/((E45/E47)*((1-E50-E51)+0.5*E51)))*$E$52,TRUE))*(1-E50-E51)+(1-NORMDIST($F$20,0.5*(E45/((E45/E47)*((1-E50-E51)+0.5*E51))),0.5*(E45/((E45/E47)*((1-E50-E51)+0.5*E51)))*$E$52,TRUE))*E51)","v":0.86015659419204016},"Formula uses Col. E assumptions only",null,null,null,{"$f":"ROW()","v":60},null,"Average speed (mph)",null,null,{"$f":"T56*60/T58","v":6.5435168738898755},null,"(algebra)"]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Mode 2 distances >= \",F$19,\" mph threshold\")","v":"Mode 2 distances >= 12 mph threshold"},null,null,null,{"$f":"J49*J55","v":0.55389238763183801},null,null,{"$f":"CONCATENATE(\"Formulas in these cells are used in estimating % of trip's time/miles under/over \",F19,\" mph threshold in rate code. (See Rows \",O16,\"-\",O26,\".)\")","v":"Formulas in these cells are used in estimating % of trip's time/miles under/over 12 mph threshold in rate code. (See Rows 16-26.)"},null,{"$f":"ROW()","v":61},null,"% trip's speed < 12 mph",null,null,0.86015659419204005,null,{"$f":"CONCATENATE(\"hardwired from value in Cell J\",O58,\" for avg speed\")","v":"hardwired from value in Cell J58 for avg speed"}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Mode 3 distances >= \",F$19,\" mph threshold\")","v":"Mode 3 distances >= 12 mph threshold"},null,null,null,{"$f":"J51*J56","v":3.3971235975703303E-5},null,null,null,null,{"$f":"ROW()","v":62},null,"% trip's distance >= 12 mph",null,null,0.180432038719158,null,{"$f":"CONCATENATE(\"hardwired from value in Cell J\",O64,\" for avg speed\")","v":"hardwired from value in Cell J64 for avg speed"}]
[null,{"$f":"CONCATENATE(\"Ditto for Cell J\",O64,\", except that we are estimating the portion of trip *miles* that *exceed* the \",F19, \" mph threshold. The algebraic equivalent of this cell, in Cell J\",O66,\", is used in this worksheet to estimate the % of trip miles in which the taxicab is traveling above the \",F19, \" mph miles threshold value.\")","v":"Ditto for Cell J64, except that we are estimating the portion of trip *miles* that *exceed* the 12 mph threshold. The algebraic equivalent of this cell, in Cell J66, is used in this worksheet to estimate the % of trip miles in which the taxicab is traveling above the 12 mph miles threshold value."},null,null,null,{"$f":"CONCATENATE(\"Two rows above are products of respective distances in Rows \",O49, \" and \",O55, \" and %'s in Rows \",O51, \" and \",O56, \".\")","v":"Two rows above are products of respective distances in Rows 49 and 55 and %'s in Rows 51 and 56."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"% of trip's distances >= \",F$19,\" mph threshold\")","v":"% of trip's distances >= 12 mph threshold"},null,null,null,{"$f":"SUM(J61:J62)/E45","v":0.18043203871915758},null,null,null,null,{"$f":"ROW()","v":64},null,"# of 0.2-mile units when cab >=12 mph",null,null,{"$f":"5*T62*T56","v":2.7696317943390754},null,{"$f":"CONCATENATE(\"calc'd as 5 (recip of 0.2) x trip distance x % trip dist >=12mph\")","v":"calc'd as 5 (recip of 0.2) x trip distance x % trip dist >=12mph"}]
[null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of sum of threshold-exceeding distances in Cells J\",O61,\" and J\",O62,\" to total trip distance in Cell E\",O45,\".\")","v":"Ratio of sum of threshold-exceeding distances in Cells J61 and J62 to total trip distance in Cell E45."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65},null,"Fare associated with time units",null,null,{"$f":"T64*B$18","v":1.3848158971695377},null,{"$f":"CONCATENATE(\"calc'd as Row \",O45,\" x Fare unit in Cell B\",O$18,\".\")","v":"calc'd as Row 45 x Fare unit in Cell B18."}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Algebraic equivalent of Cell J\",O64,\":\")","v":"Algebraic equivalent of Cell J64:"},{"$f":"1/((E45/E47)*((1-E50-E51)+0.5*E51))*(1-E50-E51)*(E45/E47)*(1-NORMDIST($F$19,E45/((E45/E47)*((1-E50-E51)+0.5*E51)),E45/((E45/E47)*((1-E50-E51)+0.5*E51))*E52,TRUE))+0.5/((E45/E47)*((1-E50-E51)+0.5*E51))*E51*(E45/E47)*(1-NORMDIST($F$19,0.5*E45/((E45/E47)*((1-E50-E51)+0.5*E51)),0.5*E45/((E45/E47)*((1-E50-E51)+0.5*E51))*E52,TRUE))","v":0.18043203871915758},"Formula uses Col. E assumptions only",null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},null,"# of 1-minute units when cab < 12 mph",null,null,{"$f":"T61*T58","v":24.213408126505925},null,{"$f":"CONCATENATE(\"calc'd as trip duration in minutes x % trip duration <12mph\")","v":"calc'd as trip duration in minutes x % trip duration <12mph"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,"Fare associated with distance units",null,null,{"$f":"T67*B$18","v":12.106704063252963},null,{"$f":"CONCATENATE(\"calc'd as Row \",O48,\" x Fare unit in Cell B\",O$18,\".\")","v":"calc'd as Row 48 x Fare unit in Cell B18."}]
[null,"Part B: Fare calculations for taxi trips of fixed distance that begin in (i) the CBD, (ii) the taxi zone north of the CBD, and (iii) other parts of NYC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},null,"Drop",null,null,{"$f":"B17+L20","v":3.8},null,{"$f":"CONCATENATE(\"standard drop in Cell B \",O18, \" plus assumed weekday evening surcharge in Cell L\",O20, \".\")","v":"standard drop in Cell B 18 plus assumed weekday evening surcharge in Cell L20."}]
[null,"Summary of Results",null,{"$f":"CONCATENATE(\"Figs. in this array are derived in 2-tone green arrays in Rows \",O92, \"-\",O110, \" (for trips beginning in CBD), \",O113, \"-\",O131, \" (trips beginning in northern part of taxi zone), and \",O155, \"-\",O173, \" (other trips).\")","v":"Figs. in this array are derived in 2-tone green arrays in Rows 92-110 (for trips beginning in CBD), 113-131 (trips beginning in northern part of taxi zone), and 155-173 (other trips)."},null,null,null,"Avg distance (miles)","Baseline fare","Fare w/ pricing","$ change to fare","$ change per mile","% change\nin fare",null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72},null,"Total",null,null,{"$f":"T65+T68+T70","v":17.291519960422502}]
[null,"6am-8pm weekdays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Trips beginning in CBD",null,null,null,null,null,{"$f":"C100","v":1.8},{"$f":"J100","v":10.84239769395241},{"$f":"J109","v":14.094655097753478},{"$f":"J74-I74","v":3.2522574038010674},{"$f":"K74/H74","v":1.8068096687783708},{"$f":"K74/I74","v":0.29995739831744844},null,{"$f":"ROW()","v":74}]
[null,"Trips beginning N of CBD and up to 96 St",null,null,null,null,null,{"$f":"C121","v":2.8},{"$f":"J121","v":13.765444237853227},{"$f":"J130","v":16.860374866533476},{"$f":"J75-I75","v":3.0949306286802489},{"$f":"K75/H75","v":1.1053323673858033},{"$f":"K75/I75","v":0.22483332722162222},null,{"$f":"ROW()","v":75}]
[null,"Trips beginning in remainder of taxi zone: btw 96 and 110 St on the W side",null,null,null,null,null,{"$f":"C142","v":2.8},{"$f":"J142","v":13.240384915912889},{"$f":"J151","v":16.569404540942461},{"$f":"J76-I76","v":3.3290196250295718},{"$f":"K76/H76","v":1.1889355803677042},{"$f":"K76/I76","v":0.25142921796998563},null,{"$f":"ROW()","v":76}]
[null,"Trips beginning outside the CBD and the northernmost part of  taxi zone",null,null,null,null,null,{"$f":"C163","v":9.875},{"$f":"J163","v":31.057449983769491},{"$f":"J172","v":34.600146047666435},{"$f":"J77-I77","v":3.542696063896944},{"$f":"K77/H77","v":0.3587540317870323},{"$f":"K77/I77","v":0.11406912240857971},null,{"$f":"ROW()","v":77}]
[null,"8pm-6am weekdays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Trips beginning in CBD",null,null,null,null,null,{"$f":"H74","v":1.8},{"$f":"X100","v":8.6934369236628157},{"$f":"X109","v":12.298939184275934},{"$f":"J79-I79","v":3.6055022606131182},{"$f":"K79/H79","v":2.0030568114517324},{"$f":"K79/I79","v":0.41473841614922624},null,{"$f":"ROW()","v":79}]
[null,"Trips beginning in taxi zone N of CBD (to 110 St on W side, 96 St on E)",null,null,null,null,null,{"$f":"H75","v":2.8},{"$f":"X121","v":11.328408118980517},{"$f":"X130","v":15.008624660688508},{"$f":"J80-I80","v":3.6802165417079902},{"$f":"K80/H80","v":1.3143630506099966},{"$f":"K80/I80","v":0.32486616857860745},null,{"$f":"ROW()","v":80}]
[null,"Trips beginning in remainder of taxi zone: btw 96 and 110 St on the W side",null,null,null,null,null,{"$f":"H76","v":2.8},{"$f":"X142","v":11.222932767059426},{"$f":"X151","v":14.933314302306316},{"$f":"J81-I81","v":3.7103815352468903},{"$f":"K81/H81","v":1.3251362625881753},{"$f":"K81/I81","v":0.33060712491633903},null,{"$f":"ROW()","v":81}]
[null,"Trips beginning outside the CBD and the northernmost part of  taxi zone",null,null,null,null,null,{"$f":"H77","v":9.875},{"$f":"X163","v":28.764231976933043},{"$f":"X172","v":32.491199877605787},{"$f":"J82-I82","v":3.7269679006727436},{"$f":"K82/H82","v":0.37741447095420189},{"$f":"K82/I82","v":0.12956952591890922},null,{"$f":"ROW()","v":82}]
[null,"Weekends / holidays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83},null,"*IF('Policy Levers'!$K$125=60,0,IF('Policy Levers'!$K$125=96,1,IF('Policy Levers'!$K$125=110,1,0)))"]
[null,"Trips beginning in CBD",null,null,null,null,null,{"$f":"H74","v":1.8},{"$f":"AH100","v":9.2063694789599246},{"$f":"AH109","v":10.933202314414125},{"$f":"J84-I84","v":1.7268328354542},{"$f":"K84/H84","v":0.95935157525233328},{"$f":"K84/I84","v":0.18756936047381906},null,{"$f":"ROW()","v":84}]
[null,"Trips beginning in taxi zone N of CBD (to 110 St on W side, 96 St on E)",null,null,null,null,null,{"$f":"H75","v":2.8},{"$f":"AH121","v":11.580597532377016},{"$f":"AH130","v":13.468033435251947},{"$f":"J85-I85","v":1.8874359028749303},{"$f":"K85/H85","v":0.67408425102676084},{"$f":"K85/I85","v":0.16298260064716349},null,{"$f":"ROW()","v":85}]
[null,"Trips beginning in remainder of taxi zone: btw 96 and 110 St on the W side",null,null,null,null,null,{"$f":"H76","v":2.8},{"$f":"AH142","v":11.345162592529508},{"$f":"AH151","v":13.325168986247037},{"$f":"J86-I86","v":1.9800063937175292},{"$f":"K86/H86","v":0.70714514061340328},{"$f":"K86/I86","v":0.17452428535676617},null,{"$f":"ROW()","v":86}]
[null,"Trips beginning outside the CBD and the northernmost part of  taxi zone",null,null,null,null,null,{"$f":"H77","v":9.875},{"$f":"AH163","v":28.920627404684236},{"$f":"AH172","v":30.897589678169403},{"$f":"J87-I87","v":1.9769622734851673},{"$f":"K87/H87","v":0.20019871123900429},{"$f":"K87/I87","v":6.8358208341115084E-2},null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Trips occurring in the weekday peak (6am-8pm)",null,null,null,"(Trips at other times are priced in arrays to right)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90},"Trips occurring in the weekday off-peak (8pm-6am)",null,null,null,"(Trips at other times are priced in arrays to left and right)",null,null,null,null,null,"Trips occurring on weekends or holidays",null,null,null,"(Trips at other times are priced in arrays to left)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Before traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92},"Before traffic pricing",null,null,null,null,null,null,null,null,null,"Before traffic pricing"]
[null,{"$f":"CONCATENATE(\"Fare trip of \",Taxis!$G$256, \" miles\")","v":"Fare trip of 1.8 miles"},"6am-8pm weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93},{"$f":"CONCATENATE(\"Fare trip of \",Taxis!$G$256, \" miles\")","v":"Fare trip of 1.8 miles"},"8pm-6am weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,{"$f":"CONCATENATE(\"Fare trip of \",Taxis!$G$256, \" miles\")","v":"Fare trip of 1.8 miles"},"Weekends / holidays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,null,null,{"$f":"ROW()","v":94},null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $"]
[null,"Pickup in #1","Inputs",null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":95},"Pickup in #1","Inputs",null,null,null,"Results",null,null,null,null,"Pickup in #1","Inputs",null,null,null,"Results"]
[null,"1. CBD",{"$f":"Taxis!$E$256*Taxis!$G$256","v":1.62},{"$f":"'Motor Vs'!F1027","v":6.9041351017450152},{"$f":"1/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))*(1-$E$50-$E$51)*(C96/D96)*(1-NORMDIST($F$19,C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51)),C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))+0.5/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$51*(C96/D96)*(1-NORMDIST($F$19,0.5*C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51)),0.5*C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))","v":0.22026696853208158},{"$f":"1-((1-NORMDIST($F$20,(C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))),(C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51)))*$E$52,TRUE))*(1-$E$50-$E$51)+(1-NORMDIST($F$20,0.5*(C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51))),0.5*(C96/((C96/D96)*((1-$E$50-$E$51)+0.5*$E$51)))*$E$52,TRUE))*$E$51)","v":0.8292667050384771},{"$f":"B$17+G$24+1/3*G$23","v":3.6333333333333333},{"$f":"(C96/$B$19)*E96*$B$18","v":0.89208122255493039},{"$f":"(C96/D96*60*F96/$B$20)*$B$18","v":5.8374236991225148},{"$f":"SUM(G96:I96)","v":10.362838255010779},null,null,null,null,{"$f":"ROW()","v":96},"1. CBD",{"$f":"Taxis!$E$256*Taxis!$G$256","v":1.62},{"$f":"'Motor Vs'!E1027","v":12.329561288276389},{"$f":"1/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51))*(1-$E$50-$E$51)*(Q96/R96)*(1-NORMDIST($F$19,Q96/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51)),Q96/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))+0.5/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$51*(Q96/R96)*(1-NORMDIST($F$19,0.5*Q96/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51)),0.5*Q96/((Q96/R96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))","v":0.63677171323151749},{"$f":"1-((1-NORMDIST($F$20,(Q96/((Q96/R96)*((1-S$69-S$70)+0.5*S$70))),(Q96/((Q96/R96)*((1-S$69-S$70)+0.5*S$70)))*$E$52,TRUE))*(1-S$69-S$70)+(1-NORMDIST($F$20,0.5*(Q96/((Q96/R96)*((1-S$69-S$70)+0.5*S$70))),0.5*(Q96/((Q96/R96)*((1-S$69-S$70)+0.5*S$70)))*$E$52,TRUE))*S$70)","v":0.4786832097444198},{"$f":"B$17+G$22+G$24","v":3.8},{"$f":"(Q96/$B$19)*S96*$B$18","v":2.5789254385876457},{"$f":"(Q96/R96*60*T96/$B$20)*$B$18","v":1.8868476703789512},{"$f":"SUM(U96:W96)","v":8.2657731089665969},null,"1. CBD",{"$f":"Taxis!$E$256*Taxis!$G$256","v":1.62},{"$f":"'Motor Vs Weekends'!H1027","v":9.8998557109707424},{"$f":"1/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51))*(1-$E$50-$E$51)*(AA96/AB96)*(1-NORMDIST($F$19,AA96/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51)),AA96/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))+0.5/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$51*(AA96/AB96)*(1-NORMDIST($F$19,0.5*AA96/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51)),0.5*AA96/((AA96/AB96)*((1-$E$50-$E$51)+0.5*$E$51))*$E$52,TRUE))","v":0.49898676203942488},{"$f":"1-((1-NORMDIST($F$20,(AA96/((AA96/AB96)*((1-AC$50-AC$51)+0.5*AC$51))),(AA96/((AA96/AB96)*((1-AC$50-AC$51)+0.5*AC$51)))*$E$52,TRUE))*(1-AC$50-AC$51)+(1-NORMDIST($F$20,0.5*(AA96/((AA96/AB96)*((1-AC$50-AC$51)+0.5*AC$51))),0.5*(AA96/((AA96/AB96)*((1-AC$50-AC$51)+0.5*AC$51)))*$E$52,TRUE))*AC$51)","v":0.6643183706319824},{"$f":"B$17+G$24+M$26*G$22","v":3.4958107207953377},{"$f":"(AA96/$B$19)*AC96*$B$18","v":2.0208963862596705},{"$f":"(AA96/AB96*60*AD96/$B$20)*$B$18","v":3.2612468055404129},{"$f":"SUM(AE96:AG96)","v":8.7779539125954216}]
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[null,"After traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101},"After traffic pricing",null,null,null,null,null,null,null,null,null,"After traffic pricing"]
[null,{"$f":"B93","v":"Fare trip of 1.8 miles"},"6am-8pm weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102},{"$f":"P93","v":"Fare trip of 1.8 miles"},"8pm-6am weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,{"$f":"Z93","v":"Fare trip of 1.8 miles"},"Weekends / holidays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,null,null,{"$f":"ROW()","v":103},null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $"]
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[null,"% Changes",null,{"$f":"D109/D100-1","v":0.21881193139993926},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,J109/J100-1)","v":0.29995739831744883},{"$f":"J109-J100","v":3.252257403801071},null,null,null,null,{"$f":"ROW()","v":110},"% Changes",null,{"$f":"R109/R100-1","v":9.975912421960742E-2},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,X109/X100-1)","v":0.41473841614922624},{"$f":"X109-X100","v":3.6055022606131182},null,"% Changes",null,{"$f":"AB109/AB100-1","v":0.11954835610892056},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,AH109/AH100-1)","v":0.18756936047381911},{"$f":"AH109-AH100","v":1.7268328354542}]
[null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(G109-G100,J110)","v":4.4055},null,null,null,null,{"$f":"ROW()","v":111},"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(U109-U100,X110)","v":3.8331242991231109},null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(AE109-AE100,AH110)","v":2.2152162567067455}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Before traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113},"Before traffic pricing",null,null,null,null,null,null,null,null,null,"Before traffic pricing"]
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[null,"T O T A L",{"$f":"SUM(C117:C120)","v":2.8},{"$f":"C121/(C117/D117+C118/D118+C120/D120)","v":8.6723755166058858},null,null,{"$f":"SUM(G117:G120)","v":3.6333333333333333},{"$f":"SUM(H117:H120)","v":2.7858050581072362},{"$f":"SUM(I117:I120)","v":7.34630584641266},{"$f":"SUM(J117:J120)","v":13.765444237853227},null,null,null,null,{"$f":"ROW()","v":121},"T O T A L",{"$f":"SUM(Q117:Q120)","v":2.8},{"$f":"Q121/(Q117/R117+Q118/R118+Q120/R120)","v":15.810793471740837},null,null,{"$f":"SUM(U117:U120)","v":3.8},{"$f":"SUM(V117:V120)","v":5.115128668851721},{"$f":"SUM(W117:W120)","v":2.4132794501287971},{"$f":"SUM(X117:X120)","v":11.328408118980517},null,"T O T A L",{"$f":"SUM(AA117:AA120)","v":2.8},{"$f":"AA121/(AA117/AB117+AA118/AB118+AA120/AB120)","v":12.71349540477139},null,null,{"$f":"SUM(AE117:AE120)","v":3.4958107207953377},{"$f":"SUM(AF117:AF120)","v":4.4100329319821787},{"$f":"SUM(AG117:AG120)","v":3.6747538795995012},{"$f":"SUM(AH117:AH120)","v":11.580597532377016}]
[null,"After traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122},"After traffic pricing",null,null,null,null,null,null,null,null,null,"After traffic pricing"]
[null,{"$f":"B114","v":"Fare trip of 2.8 miles"},"6am-8pm weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123},{"$f":"P114","v":"Fare trip of 2.8 miles"},"8pm-6am weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,{"$f":"Z114","v":"Fare trip of 2.8 miles"},"Weekends / holidays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,null,null,{"$f":"ROW()","v":124},null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $"]
[null,"Pickup in #2","Inputs",null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":125},"Pickup in #2","Inputs",null,null,null,"Results",null,null,null,null,"Pickup in #2","Inputs",null,null,null,"Results"]
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[null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(G130-G121,J131)","v":4.4055},null,null,null,null,{"$f":"ROW()","v":132},"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(U130-U121,X131)","v":3.8331242991231109},null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(AE130-AE121,AH131)","v":2.2152162567067455}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Before traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134},"Before traffic pricing",null,null,null,null,null,null,null,null,null,"Before traffic pricing"]
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[null,"T O T A L",{"$f":"SUM(C138:C141)","v":2.8},{"$f":"C142/(C138/D138+C139/D139+C141/D141)","v":9.5263399389213426},null,null,{"$f":"SUM(G138:G141)","v":3.6333333333333333},{"$f":"SUM(H138:H141)","v":3.2198894570632768},{"$f":"SUM(I138:I141)","v":6.3871621255162792},{"$f":"SUM(J138:J141)","v":13.240384915912889},null,null,null,null,{"$f":"ROW()","v":142},"T O T A L",{"$f":"SUM(Q138:Q141)","v":2.8},{"$f":"Q142/(Q138/R138+Q139/R139+Q141/R141)","v":17.544998122803872},null,null,{"$f":"SUM(U138:U141)","v":3.8},{"$f":"SUM(V138:V141)","v":5.3452463586970884},{"$f":"SUM(W138:W141)","v":2.0776864083623381},{"$f":"SUM(X138:X141)","v":11.222932767059426},null,"T O T A L",{"$f":"SUM(AA138:AA141)","v":2.8},{"$f":"AA142/(AA138/AB138+AA139/AB139+AA141/AB141)","v":14.809159537380776},null,null,{"$f":"SUM(AE138:AE141)","v":3.4958107207953377},{"$f":"SUM(AF138:AF141)","v":4.842037531248736},{"$f":"SUM(AG138:AG141)","v":3.0073143404854341},{"$f":"SUM(AH138:AH141)","v":11.345162592529508}]
[null,"After traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143},"After traffic pricing",null,null,null,null,null,null,null,null,null,"After traffic pricing"]
[null,{"$f":"B135","v":"Fare trip of 2.8 miles"},"6am-8pm weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144},{"$f":"P135","v":"Fare trip of 2.8 miles"},"8pm-6am weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,{"$f":"Z135","v":"Fare trip of 2.8 miles"},"Weekends / holidays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,null,null,{"$f":"ROW()","v":145},null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $"]
[null,"Pickup in #3","Inputs",null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":146},"Pickup in #3","Inputs",null,null,null,"Results",null,null,null,null,"Pickup in #3","Inputs",null,null,null,"Results"]
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[null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(G151-G142,J152)","v":4.4055},null,null,null,null,{"$f":"ROW()","v":153},"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(U151-U142,X152)","v":3.8331242991231109},null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(AE151-AE142,AH152)","v":2.2152162567067455}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Before traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},"Before traffic pricing",null,null,null,null,null,null,null,null,null,"Before traffic pricing"]
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[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,null,null,{"$f":"ROW()","v":157},null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $",null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $"]
[null,"Pickup in #4","Inputs",null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":158},"Pickup in #4","Inputs",null,null,null,"Results",null,null,null,null,"Pickup in #4","Inputs",null,null,null,"Results"]
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[null,"T O T A L",{"$f":"SUM(C159:C162)","v":9.875},{"$f":"C163/(C159/D159+C160/D160+C162/D162)","v":14.766566756792463},null,null,{"$f":"SUM(G159:G162)","v":3.6333333333333333},{"$f":"SUM(H159:H162)","v":17.686259754945073},{"$f":"SUM(I159:I162)","v":9.7378568954910847},{"$f":"SUM(J159:J162)","v":31.057449983769491},null,null,null,null,{"$f":"ROW()","v":163},"T O T A L",{"$f":"SUM(Q159:Q162)","v":9.875},{"$f":"Q163/(Q159/R159+Q160/R160+Q162/R162)","v":28.843925829005979},null,null,{"$f":"SUM(U159:U162)","v":3.8},{"$f":"SUM(V159:V162)","v":21.83475389390172},{"$f":"SUM(W159:W162)","v":3.1294780830313202},{"$f":"SUM(X159:X162)","v":28.764231976933043},null,"T O T A L",{"$f":"SUM(AA159:AA162)","v":9.875},{"$f":"AA163/(AA159/AB159+AA160/AB160+AA162/AB162)","v":23.308805133488107},null,null,{"$f":"SUM(AE159:AE162)","v":3.4958107207953377},{"$f":"SUM(AF159:AF162)","v":20.904103616858045},{"$f":"SUM(AG159:AG162)","v":4.520713067030858},{"$f":"SUM(AH159:AH162)","v":28.920627404684236}]
[null,"After traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164},"After traffic pricing",null,null,null,null,null,null,null,null,null,"After traffic pricing"]
[null,{"$f":"B156","v":"Fare trip of 9.9 miles"},"6am-8pm weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},{"$f":"P156","v":"Fare trip of 9.9 miles"},"8pm-6am weekdays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"},null,null,null,null,null,{"$f":"Z156","v":"Fare trip of 9.9 miles"},"Weekends / holidays",null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% minutes < \",$F$20, \" mph\")","v":"% minutes < 12 mph"}]
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[null,"T O T A L",{"$f":"SUM(C168:C171)","v":9.875},{"$f":"C172/(C168/D168+C169/D169+C171/D171)","v":15.554501675966256},null,null,{"$f":"SUM(G168:G171)","v":8.0388333333333328},{"$f":"SUM(H168:H171)","v":18.209085580220009},{"$f":"SUM(I168:I171)","v":8.3522271341130949},{"$f":"SUM(J168:J171)","v":34.600146047666435},null,null,null,null,{"$f":"ROW()","v":172},"T O T A L",{"$f":"SUM(Q168:Q171)","v":9.875},{"$f":"Q172/(Q168/R168+Q169/R169+Q171/R171)","v":29.937175861107434},null,null,{"$f":"SUM(U168:U171)","v":7.6331242991231107},{"$f":"SUM(V168:V171)","v":22.016089324909384},{"$f":"SUM(W168:W171)","v":2.8419862535732925},{"$f":"SUM(X168:X171)","v":32.491199877605787},null,"T O T A L",{"$f":"SUM(AA168:AA171)","v":9.875},{"$f":"AA172/(AA168/AB168+AA169/AB169+AA171/AB171)","v":24.76185494821128},null,null,{"$f":"SUM(AE168:AE171)","v":5.7110269775020832},{"$f":"SUM(AF168:AF171)","v":21.248660110878799},{"$f":"SUM(AG168:AG171)","v":3.9379025897885205},{"$f":"SUM(AH168:AH171)","v":30.897589678169403}]
[null,"% Changes",null,{"$f":"D172/D163-1","v":5.3359384896380924E-2},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,J172/J163-1)","v":0.11406912240857969},{"$f":"J172-J163","v":3.542696063896944},null,null,null,null,{"$f":"ROW()","v":173},"% Changes",null,{"$f":"R172/R163-1","v":3.7902261938354442E-2},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,X172/X163-1)","v":0.12956952591890913},{"$f":"X172-X163","v":3.7269679006727436},null,"% Changes",null,{"$f":"AB172/AB163-1","v":6.2339094878594015E-2},"speed change",null,null,"price change",{"$f":"IF('Policy Levers'!$K$126=\"NONE\",0,AH172/AH163-1)","v":6.8358208341115168E-2},{"$f":"AH172-AH163","v":1.9769622734851673}]
[null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(G172-G163,J173)","v":4.4055},null,null,null,null,{"$f":"ROW()","v":174},"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(U172-U163,X173)","v":3.8331242991231109},null,"Surcharge, in $ and %",null,null,null,null,null,"surcharge",null,{"$f":"MAX(AE172-AE163,AH173)","v":2.2152162567067455}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Part C calculated fares for taxi trips encompassing a range of distances, to circumvent the \"lumpiness\" resulting from medallion taxi fare \"rounding.\" It has been shelved for the time being, however.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"The remainder of this worksheet is bifurcated into two parallel and separate arrays. The left array, in pale yellow, calculates fare surcharges using a percentage basis, i.e., with the drop, mileage and wait time components of the taxi fare being incremented by percentages (chosen in Policy Levers). The right array, in green, calculates fare surcharges (on mileage and wait time only) using per-mile charges (also chosen in Policy Levers).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184},null,null,"Figures below are products of miles in Col C and % in Col F, divided by speeds in Col D, x 60 to convert from hours to minutes."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,{"$f":"CONCATENATE(\"Both arrays use the estimated percentages of trip times and miles experienced at speeds greater or less than 6 mph shown in Columns E and F. Those are calculated via fairly complex algebra\" & \" on the average speeds in Column D and also on speed 'distribution' assumptions specified in Rows \",Taxis!O588, \" and \",Taxis!O689, \" of the 'Taxis' worksheet.\")","v":"Both arrays use the estimated percentages of trip times and miles experienced at speeds greater or less than 6 mph shown in Columns E and F. Those are calculated via fairly complex algebra on the average speeds in Column D and also on speed 'distribution' assumptions specified in Rows 588 and 689 of the 'Taxis' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186},null,null,null,null,null,null,"Figures below in this column are sum of baseline fare in Col L and surcharge in Col T.",{"$f":"CONCATENATE(\"Averages immediately below are calculated from the surcharges calculated for the nine respective cases, from Rows \",O199,\"-\",O359,\" and \",O202,\"-\",O362,\" respectively.\")","v":"Averages immediately below are calculated from the surcharges calculated for the nine respective cases, from Rows 199-359 and 202-362 respectively."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187},null,"Figures below in this column are products of miles in Col C and % in Col E.",null,null,null,"Figures below in this column are sum of respective fare surcharges in Cols R and S."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Mean distance for medallion taxi fares, miles:",null,null,null,null,null,{"$f":"C196","v":2.6860000000000004},null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Row \",Taxis!O187, \".\")","v":"From 'Taxis' worksheet, Row 187."},null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Increment/decrement applied to mean distance, in arrays below:",null,null,null,null,null,0.2,null,"Chosen by Komanoff",null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,"AVERAGE FARES ",null,{"$f":"ROW()","v":192},"Surcharge $ for drop","Miles charged for distance","Minutes charged for wait time","Surcharge $ from miles","Surcharge $ fr wait-time","Combined Surcharge","Fare with Surcharge","AVERAGE FARES "]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":193}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,"Weekdays","Weekends",{"$f":"ROW()","v":194},null,null,null,null,null,null,null,"Weekdays","Weekends"]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,"Before","Before",{"$f":"ROW()","v":195},"What surcharges would be if no change in speeds",null,null,null,null,null,null,"Before","Before"]
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[null,"Weekend",{"$f":"Taxis!M$187","v":2.6860000000000004},{"$f":"Taxis!K$493","v":13.03673177701196},{"$f":"1/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C197/D197)*(1-NORMDIST($F$19,C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C197/D197)*(1-NORMDIST($F$19,0.5*C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.6664371377658922},{"$f":"1-((1-NORMDIST($F$20,(C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C197/((C197/D197)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.46875888907208929},{"$f":"G$97","v":0},{"$f":"ROUNDUP((C197/$B$19)*E197,0)*$B$18","v":4.5},{"$f":"ROUNDUP((C197/D197*60*F197/$B$20),0)*$B$18","v":3},7.5,{"$f":"$C$34*J197","v":1.125},{"$f":"J197+K197","v":8.625},"Each of the four figures in this array is the mean of the nine fares (with tips) corresponding to the trip distances inputted in each fare calculation array.",null,{"$f":"ROW()","v":197},{"$f":"'Policy Levers'!$K$135*'Policy Levers'!$K$149","v":2.2152162567067459},{"$f":"E197*C197","v":1.7900501520391867},{"$f":"F197*C197/D197*60","v":5.7947945739030153},{"$f":"Q197*'Policy Levers'!$K$136*'Policy Levers'!$K$149","v":9.00090386361954E-6},{"$f":"R197*'Policy Levers'!$K$137*'Policy Levers'!$K$149","v":2.9137948347261383E-5},{"$f":"P197+S197+T197","v":2.215254395558957},{"$f":"L197+U197","v":10.840254395558958},"Each of the four figures in this array is the mean of the nine fares (with tips) corresponding to the trip distances inputted in each fare calculation array."]
[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198},"What surcharges would be if change in speeds, and applied to entire trip"]
[null,"Weekday",{"$f":"Taxis!$C$596","v":2.6860000000000004},{"$f":"Taxis!G$493","v":13.064305958062498},{"$f":"1/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C199/D199)*(1-NORMDIST($F$19,C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C199/D199)*(1-NORMDIST($F$19,0.5*C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.66751897319959097},{"$f":"1-((1-NORMDIST($F$20,(C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C199/((C199/D199)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.46779494999655136},{"$f":"G$96","v":3.6333333333333333},{"$f":"ROUNDUP((C199/$B$19)*E199,0)*$B$18","v":4.5},{"$f":"ROUNDUP((C199/D199*60*F199/$B$20),0)*$B$18","v":3},{"$f":"SUM(G199:I199)","v":11.133333333333333},{"$f":"$C$34*J199","v":1.67},{"$f":"J199+K199","v":12.803333333333333},null,null,{"$f":"ROW()","v":199},{"$f":"'Policy Levers'!$K$135","v":4.4055},{"$f":"E199*C199","v":1.7929559620141016},{"$f":"F199*C199/D199*60","v":5.7706727309856207},{"$f":"Q199*'Policy Levers'!$K$136","v":1.7929559620141016E-5},{"$f":"R199*'Policy Levers'!$K$137","v":5.7706727309856214E-5},{"$f":"P199+S199+T199","v":4.4055756362869296},{"$f":"L199+U199","v":17.208908969620261}]
[null,"Weekend",{"$f":"Taxis!$C$597","v":2.6860000000000004},{"$f":"Taxis!L$493","v":14.178796918500833},{"$f":"1/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C200/D200)*(1-NORMDIST($F$19,C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C200/D200)*(1-NORMDIST($F$19,0.5*C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.70711504130685821},{"$f":"1-((1-NORMDIST($F$20,(C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C200/((C200/D200)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.43200333960787418},{"$f":"G$97","v":0},{"$f":"ROUNDUP((C200/$B$19)*E200,0)*$B$18","v":5},{"$f":"ROUNDUP((C200/D200*60*F200/$B$20),0)*$B$18","v":2.5},7.5,{"$f":"$C$34*J200","v":1.125},{"$f":"J200+K200","v":8.625},null,null,{"$f":"ROW()","v":200},{"$f":"'Policy Levers'!$K$135*'Policy Levers'!$K$149","v":2.2152162567067459},{"$f":"E200*C200","v":1.8993110009502214},{"$f":"F200*C200/D200*60","v":4.9102655614145245},{"$f":"Q200*'Policy Levers'!$K$136*'Policy Levers'!$K$149","v":9.5502998657289579E-6},{"$f":"R200*'Policy Levers'!$K$137*'Policy Levers'!$K$149","v":2.4690273740535084E-5},{"$f":"P200+S200+T200","v":2.2152504972803522},{"$f":"L200+U200","v":10.840250497280351}]
[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
[null,"Weekday",{"$f":"Taxis!$C$596","v":2.6860000000000004},{"$f":"Taxis!D$601","v":13.064305958062498},{"$f":"1/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C202/D202)*(1-NORMDIST($F$19,C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C202/D202)*(1-NORMDIST($F$19,0.5*C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.66751897319959097},{"$f":"1-((1-NORMDIST($F$20,(C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C202/((C202/D202)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.46779494999655136},{"$f":"IF('Policy Levers'!$K$126=\"METER\",'Policy Levers'!$K$135,0)","v":4.4055},{"$f":"'Policy Levers'!#REF!*H199*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,Taxis!L$208,IF('Policy Levers'!$K$130=96,Taxis!L$210,100%)))","v":{"$error":"#REF!"}},{"$f":"I199*'Policy Levers'!#REF!*IF('Policy Levers'!$K$130=\"NONE\",100%,IF('Policy Levers'!$K$130=60,Taxis!L$214,IF('Policy Levers'!$K$130=96,Taxis!L$218,1)))","v":{"$error":"#REF!"}},{"$f":"SUM(G202:I202)","v":{"$error":"#REF!"}},"NA","NA",null,null,{"$f":"ROW()","v":202},{"$f":"P199*IF('Policy Levers'!$H$130=60,Taxis!$L$208,IF('Policy Levers'!$H$130=96,Taxis!$L$210,0))","v":3.0483566939687265},null,null,{"$f":"S199*IF('Policy Levers'!$H$130=60,Taxis!$L$208,IF('Policy Levers'!$H$130=96,Taxis!$L$210,0))","v":1.2406240628298319E-5},{"$f":"T199*IF('Policy Levers'!$H$130=60,Taxis!$L$214,IF('Policy Levers'!$H$130=96,Taxis!$L$216,0))","v":4.9357680425517838E-5},{"$f":"P202+S202+T202","v":3.0484184578897802}]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,"After","After",{"$f":"ROW()","v":204},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged.",null,null,null,"After","After"]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,"SURCHARGES",null,{"$f":"ROW()","v":207},null,null,null,null,null,null,null,"SURCHARGES"]
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[null,"Weekend",null,null,null,null,2.2152162567067459,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"$C$34*J209","v":{"$error":"#REF!"}},{"$error":"#REF!"},"Weekdays","Weekends",{"$f":"ROW()","v":209},null,null,null,null,null,null,null,"Weekdays","Weekends"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(J202,J222,J242,J262,J282,J302,J322,J342,J362)","v":{"$error":"#REF!"}},{"$f":"AVERAGE(J203,J223,J243,J263,J283,J303,J323,J343,J363)","v":{"$error":"#REF!"}},{"$f":"ROW()","v":211},null,null,null,null,null,null,null,{"$f":"AVERAGE(U202,U222,U242,U262,U282,U302,U322,U342,U362)","v":3.0484473481138683},{"$f":"AVERAGE(U203,U223,U243,U263,U283,U303,U323,U343,U363)","v":1.5328410642885621}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,{"$f":"H189+$H$190","v":2.8860000000000006},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":213}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Weekday",null,null,null,null,{"$f":"G225-G216","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G228:I228)","v":{"$error":"#REF!"}},{"$f":"$C$34*J228","v":{"$error":"#REF!"}},{"$f":"J228+K228","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":228}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,{"$f":"B213+$H$190","v":3.0860000000000007},null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":233}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"Weekday",null,null,null,null,{"$f":"G245-G236","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G248:I248)","v":{"$error":"#REF!"}},{"$f":"$C$34*J248","v":{"$error":"#REF!"}},{"$f":"J248+K248","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":248}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,{"$f":"B232+$H$190","v":3.2860000000000009},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":253}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Weekday",null,null,null,null,{"$f":"G265-G256","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G268:I268)","v":{"$error":"#REF!"}},{"$f":"$C$34*J268","v":{"$error":"#REF!"}},{"$f":"J268+K268","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":268}]
[null,"Weekend",null,null,null,null,2.2152162567067459,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"$C$34*J269","v":{"$error":"#REF!"}},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,{"$f":"B253+$H$190","v":3.4860000000000011},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":273}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"Weekday",null,null,null,null,{"$f":"G285-G276","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G288:I288)","v":{"$error":"#REF!"}},{"$f":"$C$34*J288","v":{"$error":"#REF!"}},{"$f":"J288+K288","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":288}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,{"$f":"H189-$H$190","v":2.4860000000000002},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":293}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"Weekday",null,null,null,null,{"$f":"G305-G296","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G308:I308)","v":{"$error":"#REF!"}},{"$f":"$C$34*J308","v":{"$error":"#REF!"}},{"$f":"J308+K308","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":308}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,{"$f":"B293-$H$190","v":2.286},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":313}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Weekday",null,null,null,null,{"$f":"G325-G316","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G328:I328)","v":{"$error":"#REF!"}},{"$f":"$C$34*J328","v":{"$error":"#REF!"}},{"$f":"J328+K328","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":328}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,{"$f":"B313-$H$190","v":2.0859999999999999},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":333}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"Weekday",null,null,null,null,{"$f":"G345-G336","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G348:I348)","v":{"$error":"#REF!"}},{"$f":"$C$34*J348","v":{"$error":"#REF!"}},{"$f":"J348+K348","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":348}]
[null,"Weekend",null,null,null,null,2.2152162567067459,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"$C$34*J349","v":{"$error":"#REF!"}},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,{"$f":"B333-$H$190","v":1.8859999999999999},"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":353}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Baseline Parameters and Taxi Fares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355},"What surcharges would be if no change in speeds"]
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[null,"New Baseline Parameters and Taxi Fares, reflecting improved travel speeds from traffic pricing, but not applying any taxi surcharges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":358},"What surcharges would be if change in speeds, and applied to entire trip"]
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[null,"Taxi Fare Surcharge, with predicted changes in taxi speeds, i.e., assuming traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361},"Surcharges on avg taxi fare, reflecting zero surchrg outside zone"]
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[null,"Taxi Fares With Surcharge, reflecting predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364},null,null,null,"$ in 3x2 array directly above right reflect fact that some taxi miles and minutes occur outside taxi zone and thus aren't surcharged."]
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[null,"Weekend",{"$f":"C363","v":1.8859999999999999},{"$f":"D360","v":11.117061699247154},{"$f":"1/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C366/D366)*(1-NORMDIST($F$19,C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C366/D366)*(1-NORMDIST($F$19,0.5*C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.57596457837464965},{"$f":"1-((1-NORMDIST($F$20,(C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C366/((C366/D366)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.54694362167864163},2.2152162567067459,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"$C$34*J366","v":{"$error":"#REF!"}},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":366}]
[null,"Typical Taxi Trip: Net Changes in Taxi Fares reflecting both surcharge and predicted changes in taxi speeds from traffic pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,"Weekday",null,null,null,null,{"$f":"G365-G356","v":4.4055},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"SUM(G368:I368)","v":{"$error":"#REF!"}},{"$f":"$C$34*J368","v":{"$error":"#REF!"}},{"$f":"J368+K368","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":368}]
[null,"Weekend",null,null,null,null,2.2152162567067459,{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"$C$34*J369","v":{"$error":"#REF!"}},{"$error":"#REF!"},null,null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":371}]
[null,"Calculation to support a new section in Subways tab, estimating cost to replace subway trips during overnight hours, with taxi trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,{"$f":"CONCATENATE(\"% miles > \",$F$19, \" mph\")","v":"% miles > 12 mph"},{"$f":"CONCATENATE(\"% time < \",$F$20, \" mph\")","v":"% time < 12 mph"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,null,"Miles","Avg Speed",null,null,"Drop $","Miles $","Wait $","Sum $","Tip $","Total Fare $",null,null,{"$f":"ROW()","v":374}]
[null,"Assumptions",null,null,null,null,"Results",null,null,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,"Weekday",{"$f":"Subways!N554","v":7.7750000000000004},18,{"$f":"1/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*(1-Taxis!$K$588-Taxis!$K$589)*(C376/D376)*(1-NORMDIST($F$19,C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))+0.5/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$589*(C376/D376)*(1-NORMDIST($F$19,0.5*C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)),0.5*C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))*Taxis!$K$590,TRUE))","v":0.79833293118351556},{"$f":"1-((1-NORMDIST($F$20,(C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),(C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*(1-Taxis!$K$588-Taxis!$K$589)+(1-NORMDIST($F$20,0.5*(C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589))),0.5*(C376/((C376/D376)*((1-Taxis!$K$588-Taxis!$K$589)+0.5*Taxis!$K$589)))*Taxis!$K$590,TRUE))*Taxis!$K$589)","v":0.34578521315530297},{"$f":"G$96","v":3.6333333333333333},{"$f":"ROUNDUP((C376/$B$19)*E376,0)*$B$18","v":16},{"$f":"ROUNDUP((C376/D376*60*F376/$B$20),0)*$B$18","v":4.5},{"$f":"SUM(G376:I376)","v":24.133333333333333},{"$f":"$C$34*J376","v":3.6199999999999997},{"$f":"J376+K376","v":27.753333333333334},null,null,{"$f":"ROW()","v":376}]

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[null,"UberLyft",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet addresses so-called TNC's: Transportation Network Companies, or app-based ride services providing on-demand, door-to-door vehicle travel in New York and many other U.S. cities. We call it UberLyft for short, though it encompasses all TNC's operating in NYC, including Via and Juno. (Gett merged with Juno in 2017.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"It was developed in Nov-Dec 2017 to align the BTA with (rapidly) changing usage patterns in the FHV sector and updated with the latest (1H 2018) data in Oct 2018. The remaining vestigial formulas will be fixed/removed in 2019.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Part A. Some Key Sectoral and Geographic Data on Ubers and other \"TNC\"'s (Transportation Network Companies)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"1. Geographic breadkdown of TNC pickups, Jan-Jun 2018 totals",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,{"$f":"CONCATENATE(\"Compiled by Komanoff from data assembled by Todd W. Schneider, as described in Rows \",O45, \"-\",O49, \".\")","v":"Compiled by Komanoff from data assembled by Todd W. Schneider, as described in Rows 45-49."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,{"$f":"CONCATENATE(\"The takeaway from the array below is that only \",ROUND(100*SUM(J22:J24),0), \"% of UberLyft trips begin in the 'taxi zone' encompassing the Manhattan CBD + the W Side to 110 St and the E Side to 96 St. The analogous figure for medallion taxis is \",ROUND(100*SUM(Taxis!D256:D257),0), \"%.\")","v":"The takeaway from the array below is that only 41% of UberLyft trips begin in the 'taxi zone' encompassing the Manhattan CBD + the W Side to 110 St and the E Side to 96 St. The analogous figure for medallion taxis is 89%."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,"These data are all TNC's -- Uber, Lyft, Via, Juno",null,null,null,"% w/ some CBD",null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,"6 months","Per month","Daily","%","(Komanoff ests.)",null,null,null,{"$f":"ROW()","v":21}]
[null,"1 Manhattan CBD",null,null,null,null,35308949.549136259,{"$f":"ROUND(G22/$D$32,-2)","v":5884800},{"$f":"ROUND(G22/$D$33,-1)","v":195080},{"$f":"G22/$G$30","v":0.32052156527651504},1,null,null,null,{"$f":"ROW()","v":22}]
[null,"2 Manhattan 60-96",null,null,null,null,8987740.0715798251,1498000,49660,8.1587375235627563E-2,0.7,null,null,null,{"$f":"ROW()","v":23}]
[null,"3 Manhattan W, 96-110",null,null,null,null,650165.37296969967,108400,3590,5.9019604291211522E-3,0.4,null,null,null,{"$f":"ROW()","v":24}]
[null,"4 Manhattan, N of 96 E & 110 W",null,null,null,null,6472911.6645369744,1078800,35760,5.8758694469990422E-2,0.25,null,null,null,{"$f":"ROW()","v":25}]
[null,"5 Bronx",null,null,null,null,10543457.771781299,1757200,58250,9.5709604267194853E-2,0.1,null,null,null,{"$f":"ROW()","v":26},null,"Both tables -- the lime-green one directly below, and the one pasted at right, are from Bruce Schaller's March 7, 2018 report, \"Making Congestion Pricing Work.\""]
[null,"6 Brooklyn",null,null,null,null,29560710.042811099,4926800,163320,0.26834117623413661,0.2,null,null,null,{"$f":"ROW()","v":27},null,"The lime-green table was used in Komanoff's March 7, 2018 Streetsblog post: \"An Hourly Fee on Cabs and Ubers Is Less Radical Than It Appears\""]
[null,"7 Queens",null,null,null,null,17791767.863668099,2965300,98300,0.16150707844659731,0.15,null,null,null,{"$f":"ROW()","v":28},null,"https://nyc.streetsblog.org/2018/03/07/an-hourly-fee-on-cabs-and-ubers-is-less-radical-than-it-appears/"]
[null,"8 Staten Island",null,null,null,null,845214.66351675906,140900,4670,7.6725456408170507E-3,0.03,null,null,null,{"$f":"ROW()","v":29},null,"Schaller Surcharge Proposal for For-Hire Vehicles"]
[null,"S U M S",null,null,null,null,{"$f":"SUM(G22:G29)","v":110160917.00000001},18360200,608620,{"$f":"SUM(J22:J29)","v":1},{"$f":"SUMPRODUCT(J22:J29,K22:K29)","v":0.48237861954036138},null,null,null,{"$f":"ROW()","v":30},null,null,null,"Per-hour surcharge","Typical hike in fare",null,"Share of yellow trips","Share of Uber trips","Share of all FHV trips"]
[null,{"$f":"CONCATENATE(\"Source is same noted in Rows \",O$41, \"-\",O$44, \".\")","v":"Source is same noted in Rows 41-44."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31},null,null,null,null,"In $$","As %"]
[null,"Months in period",null,6,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32},null,"Weekdays, 8 am - 7 pm"]
[null,"Days in period",null,181,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33},null,"Entirely within Midtown",null,50,{"$f":"24.44-10.2","v":14.240000000000002},{"$f":"T33/10.2","v":1.3960784313725494},1.0999999999999999E-2,2E-3,6.0000000000000001E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34},null,"Part Midtown / Part rest of zone",null,"$20/$5 mix","Not estimated",null,0.1,4.2999999999999997E-2,6.9000000000000006E-2]
[null,"2. Borough breadkdown of TNC pickups, Jan-Jun 2018 totals",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35},null,"Rest of zone",null,20,{"$f":"20.77-13.25","v":7.52},{"$f":"T35/13.25","v":0.5675471698113207},0.28599999999999998,0.161,0.218]
[null,null,null,"Entire six-month period",null,null,null,null,null,"On an average day",null,null,null,null,{"$f":"ROW()","v":36},null,"Weekdays, evening + overnight",null,5,2,"Not est'd",0.29899999999999999,0.17599999999999999,0.23200000000000001]
[null,null,null,"All days","weekdays","weekends","wkday%","wkend%",null,"weekday","weekend",null,null,null,{"$f":"ROW()","v":37},null,"Saturdays-Sundays-holidays",null,5,2,"Not est'd",0.25,0.157,0.2]
[null,"Bronx",null,{"$f":"E38+F38","v":10543457.771781269},7323296.7506128,3220161.0211684699,{"$f":"E38/E$43","v":9.701160239284766E-2},9.2874859928158748E-2,null,{"$f":"E38/Constants!$J$35","v":56333.051927790766},{"$f":"F38/Constants!$J$36","v":63140.412179773921},null,null,null,{"$f":"ROW()","v":38},null,"Outside Manhattan taxi zone",null,0,0,0,5.5E-2,0.46100000000000002,0.27500000000000002]
[null,"Brooklyn",null,{"$f":"E39+F39","v":29560710.042811099},19539006.4989351,10021703.543876,0.25883292650503964,0.28904278598505539,null,{"$f":"E39/Constants!$J$35","v":150300.04999180845},{"$f":"F39/Constants!$J$36","v":196503.99105639214},null,null,null,{"$f":"ROW()","v":39},null,"TOTAL",null,null,null,null,1,1,1]
[null,"Manhattan",null,{"$f":"E40+F40","v":51419766.658222705},35844551.554717802,15575215.1035049,0.47483223769202521,0.44921539996905663,null,{"$f":"E40/Constants!$J$35","v":275727.31965167541},{"$f":"F40/Constants!$J$36","v":305396.37457852747},null,null,null,{"$f":"ROW()","v":40},null,"Table copied + reformatted from Schaller report, \"Making Congestion Pricing Work for Traffic and Transit in NYC,\" Table 2."]
[null,"Queens",null,{"$f":"E41+F41","v":17791767.863668151},12202445.7453082,5589322.1183599504,0.16164561606288566,0.1612054507285714,null,{"$f":"E41/Constants!$J$35","v":93864.967271601534},{"$f":"F41/Constants!$J$36","v":109594.55134039119},null,null,null,{"$f":"ROW()","v":41},null,"Midtown = 3rd to 8th Ave, 42 St to 60 St."]
[null,"Staten Island",null,{"$f":"E42+F42","v":845214.66351675801},579574.69812246505,265639.96539429302,7.6776173472017841E-3,7.661503389157746E-3,null,{"$f":"E42/Constants!$J$35","v":4458.2669086343467},{"$f":"F42/Constants!$J$36","v":5208.6267724371182},null,null,null,{"$f":"ROW()","v":42},null,"Zone = Battery to East 96 Street & West 110 Street."]
[null,"T O T A L",null,{"$f":"SUM(D38:D42)","v":110160916.99999997},{"$f":"SUM(E38:E42)","v":75488875.24769637},{"$f":"SUM(F38:F42)","v":34672041.752303615},{"$f":"SUM(G38:G42)","v":0.99999999999999989},{"$f":"SUM(H38:H42)","v":0.99999999999999989},null,{"$f":"SUM(J38:J42)","v":580683.65575151052},{"$f":"SUM(K38:K42)","v":679843.95592752181},null,null,null,{"$f":"ROW()","v":43},null,"By Schaller's figures, FHV trips surcharged $5/hour or less would outnumber trips surcharged $50/hour, by 118 to 1."]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"See 'Constants' tab, Rows \",Constants!O35, \" & \",Constants!O36, \" for # weekdays & weekends.\")","v":"See 'Constants' tab, Rows 35 & 36 for # weekdays & weekends."},null,null,null,null,{"$f":"ROW()","v":44},null,null,null,null,null,null,null,"Ratio of trips charged $5/hr to trips charged $50/hr",{"$f":"(X36+X37)/X33","v":72}]
[null,"Borough figures were calculated by Komanoff in Oct 2018 from csv file comprising all pickups within five boroughs during first six months of 2018, compiled by data analyst Todd W. Schneider from TLC data and provided to me. That file comprised 35,756 rows, each of which enumerated pickups by Lyft, Uber and Via for each of 265 districts covering all five boroughs, with separate weekday and weekend entries. I used Excel's SUMIFS function to extract borough totals shown. However, Juno data did *not* indicate district or borough, so these were assigned to boroughs and districts per distribution of other TNC's, by adding 7.11% (ratio of Juno total to other-TNC total) to Lyft-Uber-Via figures. Weekday figures include holidays falling on weekdays. Schneider file with my modifications is saved separately as \"Todd Schneider fhv_trips_h1_2018_hourly_CK 2 Oct 2018.xls.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45},null,null,null,null,null,null,null,"Ratio of trips charged $5/hr or zero to trips charged $50/hr",{"$f":"(X36+X37+X38)/X33","v":117.83333333333334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50},null,"Time Losses from Lyft's Presence in Manhattan's Central Business District"]
[null,"2C. \"Pool\" rides as % of all Uber and other TNC rides:",null,null,null,null,null,null,0.2,null,null,"Shares of vehicles (not riders)",null,null,{"$f":"ROW()","v":51},null,"A \"back-of-the-envelope\" calculation by C. Komanoff, 24-Jan-2019"]
[null,null,null,null,null,null,null,null,"Fig is % of rides, not vehicles.",null,null,"Pooled","Solo",null,{"$f":"ROW()","v":52},"Row"]
[null,"Approximated from Fig. 6, \"Pooling of CBD trips, weekdays, June 2017,\" and related text (p. 8) in Bruce Schaller, \"Making Congestion Pricing Work for Traffic and Transit in New York City,\" March, 2018, p. 2.",null,null,null,null,null,null,null,null,"\"Strangers\" per pooled ride",{"$f":"I56","v":1.5},1,null,{"$f":"ROW()","v":53},{"$f":"ROW()","v":53},"Current (based on most recent data) average vehicle speed in CBD, mph",null,null,null,null,null,null,7.2]
[null,null,null,null,null,null,null,null,null,null,"Pooled vehicles % of all TNC's",{"$f":"I51/(I56-I56*I51+I51)","v":0.14285714285714288},{"$f":"1-L54","v":0.8571428571428571},null,{"$f":"ROW()","v":54},{"$f":"ROW()","v":54},"Average vehicle speed in CBD before advent of Uber & Lyft, mph",null,null,null,null,null,null,8]
[null,null,null,null,null,null,null,null,null,null,"X-products to check calc's.",{"$f":"L54*L53","v":0.2142857142857143},{"$f":"M54*M53","v":0.8571428571428571},{"$f":"L55/(L55+M55)","v":0.2},{"$f":"ROW()","v":55},{"$f":"ROW()","v":55},"Based on GPS records maintained by NYC medallion taxicabs for 2016 and 2014, as distilled and reported in NYC DOT, New York City Mobility Report (June 2018) , pp 18-19. "]
[null,"2D. Average number of fare-paying passengers in a \"pool\" ride",null,null,null,null,null,null,1.5,{"$f":"CONCATENATE(\"Cell L\",O55, \" is calculated w/ slightly involved algebra.\")","v":"Cell L55 is calculated w/ slightly involved algebra."},null,null,null,null,{"$f":"ROW()","v":56},{"$f":"ROW()","v":56}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Share of pooled veh's shown in Cell L\",O55, \" is fed into potential surch $$ in I\",O75, \".\")","v":"Share of pooled veh's shown in Cell L55 is fed into potential surch $$ in I75."},null,null,null,null,{"$f":"ROW()","v":57},{"$f":"ROW()","v":57},"Vehicle-miles traveled (VMT) in CBD on typical weekday",null,null,null,null,null,null,{"$f":"'Motor Vs'!N164","v":3236744.7183148847}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58},{"$f":"ROW()","v":58},{"$f":"CONCATENATE(\"Calculated in 'Motor V's tab, Row \",'Motor Vs'!O164, \".\")","v":"Calculated in 'Motor V's tab, Row 164."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59},{"$f":"ROW()","v":59},"Vehicle-hours spent traveling in CBD on weekday, with Uber & Lyft",null,null,null,null,null,null,{"$f":"ROUND(X$57/X53,-3)","v":450000}]
[null,"[Next 4 rows apply only to $$ ests of NY State Assembly Democratic Caucus proposed surcharges, and should be deleted]",null,null,null,null,null,null,null,"Weekdays","Sat / Sun/ holidays","All",null,null,{"$f":"ROW()","v":60},{"$f":"ROW()","v":60},"Vehicle-hours spent traveling in CBD on weekday, before Uber & Lyft",null,null,null,null,null,null,{"$f":"ROUND(X$57/X54,-3)","v":405000}]
[null,"3. Weekday vs. Weekend Days & Holidays (used only to apportion daily avgs)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61},{"$f":"ROW()","v":61},{"$f":"CONCATENATE(\"Calculated by dividing Row \",O57, \" by Row \",O53, \" or \",O54, \".\")","v":"Calculated by dividing Row 57 by Row 53 or 54."}]
[null,"Daily volumes, all for-hire vehicles (FHV's)",null,null,null,null,null,null,null,489713,518180,497978,null,null,{"$f":"ROW()","v":62},{"$f":"ROW()","v":62},"Additional daily vehicle hours after advent of Uber & Lyft",null,null,null,null,null,null,{"$f":"X59-X60","v":45000}]
[null,"Source: Todd Pendleton of HNTB, Inc., drawn from NYC TLC data, shared w/ C. Komanoff on 4 Dec. 2017. Volumes include \"black cars\" and liveries in addition to TNC's, and thus aren't directly suitable for analysis (other than for breakout between weekday and weekend).",null,null,null,null,null,null,null,{"$f":"J62/$L$62","v":0.98340288125178221},{"$f":"K62/$L$62","v":1.0405680572234115},{"$f":"L62/$L$62","v":1},null,null,{"$f":"ROW()","v":63},{"$f":"ROW()","v":63},{"$f":"CONCATENATE(\"Difference between Rows \",O59, \" and \",O60, \".\")","v":"Difference between Rows 59 and 60."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},{"$f":"ROW()","v":64},"Additional annual vehicle hours after advent of Uber & Lyft",null,null,null,null,null,null,{"$f":"X62*Constants!J6","v":14850000}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65},{"$f":"ROW()","v":65},{"$f":"CONCATENATE(\"Product of Row \",O62, \" and constant representing ratio of annual to weekday miles in 'Constants' tab, Row \",Constants!O6, \".\")","v":"Product of Row 62 and constant representing ratio of annual to weekday miles in 'Constants' tab, Row 6."}]
[null,"Part B. Uber Fare Structure (baseline, i.e., prior to possible surcharges for congestion pricing)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},{"$f":"ROW()","v":66},"Assumed share of recent (2014 to 2016) uptick in CBD traffic gridlock caused by advent of Uber & Lyft",null,null,null,null,null,null,0.5]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},{"$f":"ROW()","v":67},"Komanoff guesstimate."]
[null,"In October 2017, I was given copies of digital receipts from 50 or so Uber trips made in NYC between mid-2014 and mid-2015. I eliminated outliers (e.g., trips to airports, trips to NJ, one trip via Uber XL), inputted two dozen receipts into a spreadsheet,  and ran a linear regression of the total fare on trip minutes and trip miles. The results are shown below. The statistical \"values\" were fabulously high: an Adjusted R-square of 0.999999, and t-ratios for the two independent variables of 1330 and 1336, respectively, indicating that the Uber fare structure conformed to a precise and simple fare structure indicated by the intercept (\"drop\") and the regression coefficients for minutes and miles.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},{"$f":"ROW()","v":68},"Additional CBD vehicle-hours attributable to Uber & Lyft",null,null,null,null,null,null,{"$f":"X66*X64","v":7425000}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69},{"$f":"ROW()","v":69},{"$f":"CONCATENATE(\"Product of Rows \",O64, \" and \",O66, \".\")","v":"Product of Rows 64 and 66."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},{"$f":"ROW()","v":70},"Estimated share of \"UberLyft market held by Lyft",null,null,null,null,null,null,0.25]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71},{"$f":"ROW()","v":71},"Komanoff estimate, based on data collected by Todd R. Schneider in late 2017"]
[null,null,null,"Distillation of Uber fare structure","Adder for tips or NYS sales tax",null,"Charges and Surcharges","Baseline","Potential surcharge(s), before cruising charge","Cruising adder, expressed as %","Cruising miles or minutes as % of fare miles or minutes","Cruising adder, expressed as % of surcharge w/o cruising","Potential surcharge(s) just for cruising","Potential surcharge(s) with cruising",{"$f":"ROW()","v":72},{"$f":"ROW()","v":72},"Additional CBD vehicle-hours attributable to Lyft",null,null,null,null,null,null,{"$f":"ROUND(X70*X68,-3)","v":1856000}]
[null,null,"Regression result",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73},{"$f":"ROW()","v":73},{"$f":"CONCATENATE(\"Product of Rows \",O68, \" and \",O70, \".\")","v":"Product of Rows 68 and 70."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74},{"$f":"ROW()","v":74},"Average \"value\" of a vehicle-hour in Manhattan CBD",null,null,null,null,null,null,{"$f":"'Value of Time'!M90","v":51.562375658789044}]
[null,"Intercept (drop)",2.9903302820615032,{"$f":"ROUND(C75,1)","v":3},0,null,"Drop",{"$f":"D75*(1+E75)","v":3},{"$f":"IF(AND('Policy Levers'!K$158=\"YES\",'Policy Levers'!$K$167>0.1),$L$54*'Policy Levers'!K181+(1-$L$54)*'Policy Levers'!K167,0)","v":5},0,"NA",0,0,{"$f":"I75+M75","v":5},{"$f":"ROW()","v":75},{"$f":"ROW()","v":75},{"$f":"CONCATENATE(\"Weighted average of values of time for motorists, FHV passengers, trucks, buses, etc., compiled and calculated in 'Value of Time' tab, Row \",'Value of Time'!O90, \".\")","v":"Weighted average of values of time for motorists, FHV passengers, trucks, buses, etc., compiled and calculated in 'Value of Time' tab, Row 90."}]
[null,"Miles",2.1503689455701962,{"$f":"ROUND(C76,2)","v":2.15},0,null,"Per-mile",{"$f":"D76*(1+E76)","v":2.15},{"$f":"IF('Policy Levers'!K$158=\"YES\",$L$54*'Policy Levers'!K182+(1-$L$54)*'Policy Levers'!K168,0)","v":9.9999999999999991E-6},{"$f":"'Policy Levers'!$K$171","v":0},{"$f":"$L$342/(1-$L$342)","v":0.66666666666666674},{"$f":"J76*K76","v":0},{"$f":"L76*I76","v":0},{"$f":"I76+M76","v":9.9999999999999991E-6},{"$f":"ROW()","v":76},{"$f":"ROW()","v":76},"Average \"value\" of a passenger-hour in an FHV in Manhattan CBD",null,null,null,null,null,null,{"$f":"('Value of Time'!L69-'Value of Time'!L70)/(1+'Value of Time'!I69)","v":36.182802113371956}]
[null,"Minutes",0.40042563991615249,{"$f":"ROUND(C77,2)","v":0.4},0,null,"Per-minute",{"$f":"D77*(1+E77)","v":0.4},{"$f":"IF('Policy Levers'!K$158=\"YES\",$L$54*'Policy Levers'!K183+(1-$L$54)*'Policy Levers'!K169,0)","v":9.9999999999999991E-6},{"$f":"'Policy Levers'!$K$171","v":0},{"$f":"$L$342/(1-$L$342)","v":0.66666666666666674},{"$f":"J77*K77","v":0},{"$f":"L77*I77","v":0},{"$f":"I77+M77","v":9.9999999999999991E-6},{"$f":"ROW()","v":77},{"$f":"ROW()","v":77},{"$f":"CONCATENATE(\"Calculated from values for FHV drivers and passengers in 'Value of Time' tab. Fuller explanation TK.\")","v":"Calculated from values for FHV drivers and passengers in 'Value of Time' tab. Fuller explanation TK."}]
[null,{"$f":"CONCATENATE(\"Baseline = 'Distillation' + NYS sales tax adder, if any. Potential surcharge(s) before cruising are taken from 'Policy Levers' tab, Rows\",'Policy Levers'!O168,\" and \",'Policy Levers'!O169,\", respectively. Cruising adder % is from 'Policy Levers' tab, Row \",'Policy Levers'!O171, \". Cruising miles or minutes as % are calculated with algebra on Row \",O538, \". Remaining columns are simple arithmetic from prior columns.\")","v":"Baseline = 'Distillation' + NYS sales tax adder, if any. Potential surcharge(s) before cruising are taken from 'Policy Levers' tab, Rows168 and 169, respectively. Cruising adder % is from 'Policy Levers' tab, Row 171. Cruising miles or minutes as % are calculated with algebra on Row 538. Remaining columns are simple arithmetic from prior columns."},null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"ROW()","v":78},"Adjusted annual additional CBD vehicle-hours attributable to Lyft",null,null,null,null,null,null,{"$f":"ROUND(X74/X76*X72,-4)","v":2640000}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,{"$f":"ROW()","v":79},{"$f":"CONCATENATE(\"Adjusts for multi-passenger vehicles,  value of freight in trucks, etc. Calculated by multiplying Row \",O72, \" by ratio of Row \",O74, \" to Row \",O76, \".\")","v":"Adjusts for multi-passenger vehicles,  value of freight in trucks, etc. Calculated by multiplying Row 72 by ratio of Row 74 to Row 76."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,0]
[null,"Note that, unlike for yellow (medallion) cabs, there appear to be no night surcharges, peak hour weekday surcharges, or NY State tax surcharge (the so-called \"Ravitch tax.\" However, Ubers and other app-based FHV services *are* charged NYS sales tax, at the standard rate of 8.875%. I have *not* included that tax here. However, it can easily be added, above. Same goes for tips.",null,null,null,null,null,null,null,null,null,null,null,null,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,"Travel Speeds, Baseline (mph)",null,null,null,null,"Travel speeds with Pricing / Surcharges (mph)",null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,"Cordon","Non-Cordon","btw 60-96/110","Not Taxi Zone",null,"Cordon","Non-Cordon","btw 60-96/110","Not Taxi Zone",null,{"$f":"ROW()","v":85}]
[null,null,"Weekdays, 6am-8pm",null,{"$f":"'Motor Vs'!F1027","v":6.9041351017450152},{"$f":"'Motor Vs'!F1032","v":17.756986206779487},null,null,null,{"$f":"'Motor Vs'!F1028","v":8.4657466451279682},{"$f":"'Motor Vs'!F1033","v":18.976457426178658},null,null,null,{"$f":"ROW()","v":86}]
[null,null,"Weekdays, 8pm-6am",null,{"$f":"'Motor Vs'!E1027","v":12.329561288276389},{"$f":"'Motor Vs'!E1032","v":35.934455203254537},null,null,null,{"$f":"'Motor Vs'!E1028","v":13.605358016714327},{"$f":"'Motor Vs'!E1033","v":36.390326423984696},null,null,null,{"$f":"ROW()","v":87}]
[null,null,"Weekends",null,{"$f":"'Motor Vs Weekends'!H1027","v":9.8998557109707424},{"$f":"'Motor Vs Weekends'!H1032","v":29.11671218466898},null,null,null,{"$f":"'Motor Vs Weekends'!H1028","v":11.117061699247159},{"$f":"'Motor Vs Weekends'!H1033","v":30.242611964706345},null,null,null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Baseline travel speeds are from 'Motor Vs' tab, Rows\",'Motor Vs'!O1027, \" and \",'Motor Vs'!O1032, \". Travel speeds with pricing are from 'Motor Vs' tab, Rows\",'Motor Vs'!O1028, \" and \",'Motor Vs'!O1033, \".\" )","v":"Baseline travel speeds are from 'Motor Vs' tab, Rows1027 and 1032. Travel speeds with pricing are from 'Motor Vs' tab, Rows1028 and 1033."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Part C. Fares for Representative Uber Trips ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,"Baseline (prior to surcharges for congestion pricing)",null,null,null,null,"Surcharges (with congestion pricing)",null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94},null,"TNC trips originating in Manhattan during the first six months of 2018, sorted by \"zone\" and hour"]
[null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total","Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h",null,{"$f":"ROW()","v":95}]
[null,"1. Pickup w/i Manhattan CBD (to 60th St)","Share of Uber-Lyft trips:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96},null,"These data columns were compiled by Komanoff in Oct 2018 from the TNC data file compiled by data analyst Todd W. Schneider comprising all pickups within the five boroughs during the first six months of 2018. They include a modest (7.11%) upward adjustment from the sectoral data for Uber, Lyft and Via, to reflect Juno rides that were not available by district. Weekday figures include holidays falling on weekdays. The Schneider file with my modifications is saved separately as \"Todd Schneider fhv_trips_h1_2018_hourly_CK 5 Oct 2018.xls.\""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,{"$f":"J22","v":0.32052156527651504},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Fare Miles",{"$f":"G395","v":1.8},null,{"$f":"CONCATENATE(\"Allocation of total miles in Rows \",O102, \"-\",O105, \" among CBD, CBD north and out-of-taxi-zone is from Row \",O$395,\". Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows \",O$75, \"-\",O$77, \". Cells J\",O101, \", K\",O101, \" and M\",O101, \" use geographic array beginning in Row \",O$395, \".\")","v":"Allocation of total miles in Rows 102-105 among CBD, CBD north and out-of-taxi-zone is from Row 395. Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows 75-77. Cells J101, K101 and M101 use geographic array beginning in Row 395."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"copied from Cell G\",O395, \".\")","v":"copied from Cell G395."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Drop $",null,null,{"$f":"$H$75","v":3},{"$f":"$H$75","v":3},null,{"$f":"$H$75","v":3},null,{"$f":"$N$75*L395","v":3.6863790485594983},{"$f":"$J101*'Policy Levers'!$K$177","v":3.1188838314822656},null,{"$f":"$J101*'Policy Levers'!$K$178","v":1.9295619750029116},null,{"$f":"ROW()","v":101},null,"CBD weekday",null,null,"60-96 weekday",null,null,"W96-W110 weekday",null,null,"No zone involve wkday",null,null,"All Manhattan wkday"]
[null,"Miles in CBD",{"$f":"$E$395*$C99","v":1.53},null,{"$f":"$C102*$H$76","v":3.2894999999999999},3.2894999999999999,null,{"$f":"$C102*$H$76","v":3.2894999999999999},null,{"$f":"$C102*$N$76","v":1.5299999999999999E-5},{"$f":"$C102*$N$76*'Policy Levers'!$K$177","v":1.2944659784870866E-5},null,{"$f":"$C102*$N$76*'Policy Levers'!$K$178","v":8.0084814471481924E-6},null,{"$f":"ROW()","v":102},null,0,816889.27421658183,null,0,111534.16602141246,null,0,9726.0072169719861,null,0,142312.48004921785,null,0,1008697]
[null,"Miles in 60-96",{"$f":"(F$395*$C$99-C102)*Cordon!$I$363","v":7.884955752212397E-2},null,0.16952654867256653,0.16952654867256653,null,{"$f":"$C103*$H$76","v":0.16952654867256653},null,{"$f":"$C103*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":7.8849557522123959E-7},{"$f":"$C103*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":6.6711156621666675E-7},null,{"$f":"$C103*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":4.1272236505344699E-7},null,{"$f":"ROW()","v":103},null,1,503042.37547429011,null,1,58088.256759514406,null,1,5934.1497777560362,null,1,90819.2702538991,null,1,614187]
[null,"Miles in 96-110",{"$f":"(F$395*$C$99-C102)*(1-Cordon!$I$363)","v":1.1150442477876114E-2},null,2.3973451327433642E-2,2.3973451327433642E-2,null,{"$f":"$C104*$H$76","v":2.3973451327433642E-2},null,{"$f":"$C104*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"$C104*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"$C104*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":104},null,2,328686.55777135893,null,2,32993.444305855854,null,2,3736.1578384139084,null,2,60201.628151484205,null,2,397348]
[null,"Miles out of zone",{"$f":"C99-SUM(C102:C104)","v":0.17999999999999994},null,0.38699999999999984,0.38699999999999984,null,{"$f":"$C105*$H$76","v":0.38699999999999984},null,{"$f":"$C105*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)","v":0},{"$f":"$C105*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"$C105*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":105},null,3,219941.65637472566,null,3,25119.448815551768,null,3,3075.2606519742922,null,3,44768.554144641428,null,3,273450]
[null,"Mileage $",null,null,{"$f":"SUM(E102:E105)","v":3.8699999999999997},{"$f":"SUM(F102:F105)","v":3.8699999999999997},null,{"$f":"SUM(H102:H105)","v":3.8699999999999997},null,{"$f":"SUM(J102:J105)","v":1.608849557522124E-5},{"$f":"SUM(K102:K105)","v":1.3611771351087533E-5},null,{"$f":"SUM(M102:M105)","v":8.4212038122016394E-6},null,{"$f":"ROW()","v":106},null,4,218826.59321251555,null,4,43230.388245569651,null,4,4708.7585601111068,null,4,54870.533667027201,null,4,300273]
[null,"Speed in CBD",null,null,{"$f":"E$86","v":6.9041351017450152},{"$f":"E$87","v":12.329561288276389},null,{"$f":"E$88","v":9.8998557109707424},null,{"$f":"J$86","v":8.4657466451279682},{"$f":"J$87","v":13.605358016714327},null,{"$f":"J$88","v":11.117061699247159},null,{"$f":"ROW()","v":107},null,5,270994.62509447441,null,5,81035.421143786531,null,5,8323.8768813975003,null,5,76758.334489891247,null,5,408079]
[null,"Minutes in CBD",null,null,{"$f":"$C102*60/E107","v":13.296379437418253},{"$f":"$C102*60/F107","v":7.4455203923020665},null,{"$f":"$C102*60/H107","v":9.2728624214461846},null,{"$f":"$C102*60/J107","v":10.843698004219254},{"$f":"$C102*60/K107","v":6.7473417375142004},null,{"$f":"$C102*60/M107","v":8.2575776300869705},null,{"$f":"ROW()","v":108},null,6,515290.93191989302,null,6,195458.46838372029,null,6,16887.690504711492,null,6,135345.74536428551,null,6,805663]
[null,"Time $ in CBD",null,null,{"$f":"E108*$H$77","v":5.3185517749673012},{"$f":"F108*$H$77","v":2.978208156920827},null,{"$f":"H108*$H$77","v":3.7091449685784741},null,{"$f":"J108*$N$77","v":1.0843698004219253E-4},{"$f":"K108*$N$77*'Policy Levers'!$K$177","v":5.7086302774105079E-5},null,{"$f":"M108*$N$77*'Policy Levers'!$K$178","v":4.3222651796691138E-5},null,{"$f":"ROW()","v":109},null,7,872707.77224341303,null,7,452135.08263356204,null,7,33803.230809824003,null,7,223888.83000848576,null,7,1477422]
[null,"Speed in 60-96",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":110},null,8,1200731.2905359939,null,8,541356.20280291024,null,8,33274.084602204603,null,8,250215.46055680487,null,8,1891037]
[null,"Minutes in 60-96",null,null,{"$f":"$C103*60/E110","v":0.3836786975044888},{"$f":"$C103*60/F110","v":0.19604557578242998},null,{"$f":"$C103*60/H110","v":0.24251100014648627},null,{"$f":"$C103*60/J110","v":0.34479544274463803},{"$f":"$C103*60/K110","v":0.189255272900162},null,{"$f":"$C103*60/M110","v":0.22877228141433129},null,{"$f":"ROW()","v":111},null,9,1165440.2376970537,null,9,413152.86009531742,null,9,28938.08490899947,null,9,217241.29688199586,null,9,1703570]
[null,"Time $ in 60-96",null,null,{"$f":"E111*$H$77","v":0.15347147900179553},{"$f":"F111*$H$77","v":7.8418230312972001E-2},null,{"$f":"H111*$H$77","v":9.7004400058594509E-2},null,{"$f":"J111*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":3.4479544274463798E-6},{"$f":"K111*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":1.6012059609055475E-6},null,{"$f":"M111*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":1.1974631185153183E-6},null,{"$f":"ROW()","v":112},null,10,873211.21094297001,null,10,303688.14847293467,null,10,22475.860069793303,null,10,176162.84129048974,null,10,1284174]
[null,"Speed in 96-110",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":113},null,11,867969.02159056242,null,11,276876.2887099362,null,11,19432.733802897113,null,11,162963.10704657499,null,11,1239085]
[null,"Minutes in 96-110",null,null,{"$f":"$C104*60/E113","v":5.4257593586493354E-2},{"$f":"$C104*60/F113","v":2.7723616777313324E-2},null,{"$f":"$C104*60/H113","v":3.4294484869200066E-2},null,{"$f":"$C104*60/J113","v":4.8758951499241726E-2},{"$f":"$C104*60/K113","v":2.6763371925275427E-2},null,{"$f":"$C104*60/M113","v":3.2351635755561992E-2},null,{"$f":"ROW()","v":114},null,12,910291.07788459107,null,12,278915.75101622636,null,12,18291.963132624518,null,12,167844.32013993859,null,12,1283992]
[null,"Time $ in 96-110",null,null,{"$f":"E114*$H$77","v":2.1703037434597342E-2},{"$f":"F114*$H$77","v":1.108944671092533E-2},null,{"$f":"H114*$H$77","v":1.3717793947680027E-2},null,{"$f":"J114*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"K114*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"M114*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":115},null,13,929248.22278833226,null,13,269054.7793819264,null,13,17718.899932065044,null,13,172725.53323330218,null,13,1296506]
[null,"Speed out of zone",null,null,{"$f":"F$86","v":17.756986206779487},{"$f":"F$87","v":35.934455203254537},null,{"$f":"F$88","v":29.11671218466898},null,{"$f":"K$86","v":18.976457426178658},{"$f":"K$87","v":36.390326423984696},null,{"$f":"K$88","v":30.242611964706345},null,{"$f":"ROW()","v":116},null,14,984928.54295932758,null,14,292135.83703735727,null,14,18349.805025765101,null,14,186392.28720701864,null,14,1383384]
[null,"Minutes out of zone",null,null,{"$f":"$C105*60/E116","v":0.60821131887102753},{"$f":"$C105*60/F116","v":0.30054720292578291},null,{"$f":"$C105*60/H116","v":0.37092099999142741},null,{"$f":"$C105*60/J116","v":0.5691262471941172},{"$f":"$C105*60/K116","v":0.29678216881511033},null,{"$f":"$C105*60/M116","v":0.35711201177344687},null,{"$f":"ROW()","v":117},null,15,1044867.7402993406,null,15,342923.16150712705,null,15,18801.828709197056,null,15,198143.83183008028,null,15,1498149]
[null,"Time $ out of zone",null,null,{"$f":"E117*$H$77","v":0.24328452754841101},{"$f":"F117*$H$77","v":0.12021888117031317},null,{"$f":"H117*$H$77","v":0.14836839999657098},null,{"$f":"J117*$N$77*IF('Policy Levers'!$K$161=\"NONE\",1,0)","v":0},{"$f":"K117*$N$77*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"M117*$N$77*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":118},null,16,1152769.6496607584,null,16,356163.59930547402,null,16,19981.160641563376,null,16,214883.7041634325,null,16,1627974]
[null,"Total $",null,null,{"$f":"E101+E106+E109+E112+E115+E118","v":12.607010818952107},10.057934715115037,null,10.838235562581319,null,{"$f":"J101+J106+J109+J112+J115+J118","v":3.6865070219895433},{"$f":"K101+K106+K109+K112+K115+K118","v":3.1189561307623515},null,1.9296148163216391,null,{"$f":"ROW()","v":119},null,17,1503686.7750291477,null,17,420886.53543744708,null,17,23977.606999109903,null,17,250414.69374428911,null,17,2052909]
[null,null,null,"Total Minutes",{"$f":"E108+E111+E114+E117","v":14.342527047380264},{"$f":"F108+F111+F114+F117","v":7.9698367877875924},null,9.9205889064532986,null,11.806378645657251,7.2601425511547486,null,8.8758135590303109,null,{"$f":"ROW()","v":120},null,18,1828080.1789540723,null,18,453005.9244691786,null,18,28166.859667125038,null,18,268032.90593644278,null,18,2406101]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O120, \".\")","v":"Calculated from Row 120."},null,"Time change factor, w/ pricing",{"$f":"J120/E120","v":0.82317283465146029},{"$f":"K120/F120","v":0.91095247549857883},null,{"$f":"M120/H120","v":0.8946861565099864},null,{"$f":"ROW()","v":121},null,19,1812382.5318434199,null,19,416272.03774023178,null,19,26396.255049321659,null,19,265968.80726825941,null,19,2353572]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O119, \".\")","v":"Calculated from Row 119."},null,"Surcharge fare factor",{"$f":"1+J119/E119","v":1.2924172172873543},{"$f":"1+K119/F119","v":1.3100990629890641},null,{"$f":"1+M119/H119","v":1.1780377262682475},null,{"$f":"ROW()","v":122},null,20,1717803.5385353828,null,20,345138.29178517748,null,20,23059.634732045477,null,20,252717.65800821967,null,20,2183380]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123},null,21,1710825.0212425885,null,21,316621.16732070118,null,21,21024.457010432398,null,21,250303.29454268501,null,21,2146088]
[null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total","Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h",null,{"$f":"ROW()","v":124},null,22,1668797.5301451092,null,22,292142.26391437289,null,22,19987.587518578996,null,22,240338.4217299658,null,22,2073728]
[null,"2. Pickup in taxi zone N of CBD to 96 St (E & W)","Share of Uber-Lyft trips:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125},null,23,1418819.8640378823,null,23,226131.81008693724,null,23,16616.690523886169,null,23,218257.81459663314,null,23,1754967]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126},null,"TOTAL",{"$f":"SUM(R102:R125)","v":24536232.220453784},null,"TOTAL",{"$f":"SUM(U102:U125)","v":6544059.3353922293},null,"TOTAL",{"$f":"SUM(X102:X125)","v":442688.64456676948},null,"TOTAL",{"$f":"SUM(AA102:AA125)","v":4321571.3543050652},null,"TOTAL",{"$f":"SUM(AD102:AD125)","v":33463735}]
[null,null,{"$f":"J23","v":8.1587375235627563E-2},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127},null,null,0.68451776228804107,null,null,0.18256775581088006,null,null,1.2350235262142734E-2,null,null,0.12056424663893615,null,null,1]
[null,"Fare Miles",{"$f":"G396","v":2.8},null,{"$f":"CONCATENATE(\"Allocation of total miles in Rows \",O131, \"-\",O134, \" among CBD, CBD north and out-of-taxi-zone is from Row \",O$395,\". Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows \",O$75, \"-\",O$77, \".\")","v":"Allocation of total miles in Rows 131-134 among CBD, CBD north and out-of-taxi-zone is from Row 395. Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows 75-77."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,{"$f":"CONCATENATE(\"copied from Cell G\",O396, \".\")","v":"copied from Cell G396."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Drop $",null,null,{"$f":"$H$75","v":3},{"$f":"$H$75","v":3},null,{"$f":"$H$75","v":3},null,{"$f":"$N$75*L396","v":3.6727882715585602},{"$f":"$J130*'Policy Levers'!$K$177","v":3.1073852704045404},null,{"$f":"$J130*'Policy Levers'!$K$178","v":1.9224481524235428},null,{"$f":"ROW()","v":130},null,"CBD weekend",null,null,"60-96 weekend",null,null,"W96-W110 weekend",null,null,"No zone involve wkend",null,null,"All Manhattan wkend"]
[null,"Miles in CBD",{"$f":"E396*C128","v":1.54},null,{"$f":"$C131*$H$76","v":3.3109999999999999},3.3109999999999999,null,{"$f":"$C131*$H$76","v":3.3109999999999999},null,{"$f":"$C131*$N$76","v":1.5399999999999998E-5},{"$f":"$C131*$N$76*'Policy Levers'!$K$177","v":1.3029265404379824E-5},null,{"$f":"$C131*$N$76*'Policy Levers'!$K$178","v":8.0608244631426246E-6},null,{"$f":"ROW()","v":131},null,0,731792.0667989233,null,0,103967.58948168888,null,0,8427.7780598166955,null,0,119343.89274156034,null,0,899533]
[null,"Miles in 60-96",{"$f":"((F396-E396)*C128)*Cordon!$I$363","v":0.61327433628318584},null,1.3185398230088494,1.3185398230088494,null,{"$f":"$C132*$H$76","v":1.3185398230088494},null,{"$f":"$C132*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":6.1327433628318576E-6},{"$f":"$C132*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":5.1886455150185142E-6},null,{"$f":"$C132*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":3.2100628393045845E-6},null,{"$f":"ROW()","v":132},null,1,599921.11960774986,null,1,64015.979660254823,null,1,5549.6083029880911,null,1,91609.77612682039,null,1,710544]
[null,"Miles in 96-110",{"$f":"((F396-E396)*C128)*(1-Cordon!$I$363)","v":8.672566371681413E-2},null,0.18646017699115036,0.18646017699115036,null,{"$f":"$C133*$H$76","v":0.18646017699115036},null,{"$f":"$C133*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"$C133*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"$C133*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":133},null,2,443870.11879147438,null,2,36024.787964890071,null,2,3483.3673424661783,null,2,67159.793667062404,null,2,513971]
[null,"Miles out of zone",{"$f":"C128-SUM(C131:C133)","v":0.55999999999999961},null,1.2039999999999991,1.2039999999999991,null,{"$f":"$C134*$H$76","v":1.2039999999999991},null,{"$f":"$C134*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)","v":0},{"$f":"$C134*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"$C134*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":134},null,3,321894.41991201759,null,3,23223.520095943793,null,3,2445.4267044435073,null,3,53102.071341562361,null,3,374053]
[null,"Mileage $",null,null,{"$f":"SUM(E131:E134)","v":6.0199999999999987},{"$f":"SUM(F131:F134)","v":6.0199999999999987},null,{"$f":"SUM(H131:H134)","v":6.0199999999999987},null,{"$f":"J131+J132+J134","v":2.1532743362831858E-5},{"$f":"K131+K132+K134","v":1.8217910919398338E-5},null,{"$f":"M131+M132+M134","v":1.1270887302447209E-5},null,{"$f":"ROW()","v":135},null,4,211564.22218486466,null,4,20039.002534703955,null,4,2257.9761248212499,null,4,45004.20630188084,null,4,260343]
[null,"Speed in CBD",null,null,{"$f":"E$86","v":6.9041351017450152},{"$f":"E$87","v":12.329561288276389},null,{"$f":"E$88","v":9.8998557109707424},null,{"$f":"J$86","v":8.4657466451279682},{"$f":"J$87","v":13.605358016714327},null,{"$f":"J$88","v":11.117061699247159},null,{"$f":"ROW()","v":136},null,5,114471.24881755091,null,5,19731.583584123455,null,5,2252.6203939748993,null,5,32743.867248415932,null,5,157961]
[null,"Minutes in CBD",null,null,{"$f":"$C131*60/E136","v":13.383283878185694},{"$f":"$C131*60/F136","v":7.4941839242778983},null,{"$f":"$C131*60/H136","v":9.3334693653772067},null,{"$f":"$C131*60/J136","v":10.914571847384087},{"$f":"$C131*60/K136","v":6.791442010308411},null,{"$f":"$C131*60/M136","v":8.3115487257084553},null,{"$f":"ROW()","v":137},null,6,102604.0204082081,null,6,28196.851759864599,null,6,3361.2566791693935,null,6,36926.693039415448,null,6,159725]
[null,"Time $ in CBD",null,null,{"$f":"E137*$H$77","v":5.3533135512742778},{"$f":"F137*$H$77","v":2.9976735697111594},null,{"$f":"H137*$H$77","v":3.7333877461508829},null,{"$f":"J137*$N$77","v":1.0914571847384086E-4},{"$f":"K137*$N$77*'Policy Levers'!$K$177","v":5.7459415864131908E-5},null,{"$f":"M137*$N$77*'Policy Levers'!$K$178","v":4.3505152788826375E-5},null,{"$f":"ROW()","v":138},null,7,128792.47310069138,null,7,43034.368496593233,null,7,4472.0352567024274,null,7,50216.403561548868,null,7,211470]
[null,"Speed in 60-96",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":139},null,8,190894.31455646065,null,8,64701.513208587654,null,8,6627.1813492737538,null,8,63874.588365911179,null,8,304438]
[null,"Minutes in 60-96",null,null,{"$f":"$C132*60/E139","v":2.9841676472571321},{"$f":"$C132*60/F139","v":1.5247989227522316},null,{"$f":"$C132*60/H139","v":1.8861966678060023},null,{"$f":"$C132*60/J139","v":2.6817423324582927},{"$f":"$C132*60/K139","v":1.4719854558901473},null,{"$f":"$C132*60/M139","v":1.779339966555908},null,{"$f":"ROW()","v":140},null,9,275087.47460725525,null,9,90213.001522092251,null,9,9381.0981504670326,null,9,79718.98250175365,null,9,424219]
[null,"Time $ in 60-96",null,null,{"$f":"E140*$H$77","v":1.1936670589028529},{"$f":"F140*$H$77","v":0.60991956910089273},null,{"$f":"H140*$H$77","v":0.75447866712240097},null,{"$f":"J140*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":2.6817423324582925E-5},{"$f":"K140*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":1.2453824140376468E-5},null,{"$f":"M140*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":9.3136020328969103E-6},null,{"$f":"ROW()","v":141},null,10,366746.52345786209,null,10,114075.99588109026,null,10,11184.908299517785,null,10,87766.503671479484,null,10,541265]
[null,"Speed in 96-110",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":142},null,11,447223.87744745892,null,11,130544.86823361716,null,11,11729.050553506966,null,11,95115.637538841242,null,11,639141]
[null,"Minutes in 96-110",null,null,{"$f":"$C133*60/E142","v":0.42200350567272565},{"$f":"$C133*60/F142","v":0.21562813049021451},null,{"$f":"$C133*60/H142","v":0.26673488231600023},null,{"$f":"$C133*60/J142","v":0.37923628943854637},{"$f":"$C133*60/K142","v":0.20815955941880865},null,{"$f":"$C133*60/M142","v":0.2516238336543708},null,{"$f":"ROW()","v":143},null,12,489314.56616892526,null,12,142492.43260565522,null,12,11824.382562572,null,12,97786.004938831451,null,12,692172]
[null,"Time $ in 96-110",null,null,{"$f":"E143*$H$77","v":0.16880140226909027},{"$f":"F143*$H$77","v":8.6251252196085815E-2},null,{"$f":"H143*$H$77","v":0.1066939529264001},null,{"$f":"J143*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"K143*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"M143*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":144},null,13,504334.17775442975,null,13,146038.99757210835,null,13,11566.23633577792,null,13,100798.06796681882,null,13,712076]
[null,"Speed out of zone",null,null,{"$f":"F$86","v":17.756986206779487},{"$f":"F$87","v":35.934455203254537},null,{"$f":"F$88","v":29.11671218466898},null,{"$f":"K$86","v":18.976457426178658},{"$f":"K$87","v":36.390326423984696},null,{"$f":"K$88","v":30.242611964706345},null,{"$f":"ROW()","v":145},null,14,500255.25314184942,null,14,141780.12040309064,null,14,11435.556503126974,null,14,103803.70411779056,null,14,706976]
[null,"Minutes out of zone",null,null,{"$f":"$C134*60/E145","v":1.8922129920431963},{"$f":"$C134*60/F145","v":0.93503574243576881},null,{"$f":"$C134*60/H145","v":1.1539764444177738},null,{"$f":"$C134*60/J145","v":1.7706149912705864},{"$f":"$C134*60/K145","v":0.92332230298034301},null,{"$f":"$C134*60/M145","v":1.1110151477396122},null,{"$f":"ROW()","v":146},null,15,504850.47020801791,null,15,142110.03342322583,null,15,11456.979426512375,null,15,105056.9451358365,null,15,712764]
[null,"Time $ out of zone",null,null,{"$f":"E146*$H$77","v":0.7568851968172785},{"$f":"F146*$H$77","v":0.37401429697430755},null,{"$f":"H146*$H$77","v":0.46159057776710954},null,{"$f":"J146*$N$77*IF('Policy Levers'!H214=\"NONE\",1,0)","v":0},{"$f":"K146*$N$77*IF('Policy Levers'!I214=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"M146*$N$77*IF('Policy Levers'!K214=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":147},null,16,537445.44813890534,null,16,147956.34921510171,null,16,11589.801551501861,null,16,104742.02816207112,null,16,748482]
[null,"Total $",null,null,{"$f":"E130+E135+E138+E141+E144+E147","v":16.492667209263498},{"$f":"F130+F135+F138+F141+F144+F147","v":13.087858687982443},null,{"$f":"H130+H135+H138+H141+H144+H147","v":14.076150943966793},null,{"$f":"J130+J135+J138+J141+J144+J147","v":3.6729457674437218},{"$f":"K130+K135+K138+K141+K144+K147","v":3.1074734015554641},null,{"$f":"M130+M135+M138+M141+M144+M147","v":1.9225122420656668},null,{"$f":"ROW()","v":148},null,17,596725.89058481727,null,17,164831.18596578197,null,17,12391.018886115853,null,17,108925.9250992399,null,17,824233]
[null,null,null,"Total Minutes",{"$f":"E137+E140+E143+E146","v":18.681668023158746},{"$f":"F137+F140+F143+F146","v":10.169646719956114},null,{"$f":"H137+H140+H143+H146","v":12.640377359916982},null,{"$f":"J137+J140+J143+J146","v":15.746165460551513},9.394909328597711,null,{"$f":"M137+M140+M143+M146","v":11.453527673658346},null,{"$f":"ROW()","v":149},null,18,639642.43300279079,null,18,172277.79413454729,null,18,13363.619607813051,null,18,117653.62408645221,null,18,880307]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O149, \".\")","v":"Calculated from Row 149."},null,"Time change factor, w/ pricing",{"$f":"J149/E149","v":0.84286721298289669},{"$f":"K149/F149","v":0.92381865243773709},null,{"$f":"M149/H149","v":0.90610646719913823},null,{"$f":"ROW()","v":150},null,19,651508.59026596439,null,19,163959.27298399614,null,19,12213.208622017026,null,19,119884.82155704171,null,19,884628]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O148, \".\")","v":"Calculated from Row 148."},null,"Surcharge fare factor",{"$f":"1+J148/E148","v":1.2227017450143374},{"$f":"1+K148/F148","v":1.2374317660083551},null,{"$f":"1+M148/H148","v":1.1365793994195323},null,{"$f":"ROW()","v":151},null,20,616505.67574655788,null,20,138540.97438721804,null,20,11096.003167468371,null,20,117137.33163286405,null,20,824612]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152},null,21,598182.6493750246,null,21,123504.22446300519,null,21,10452.244319737076,null,21,119317.11408732858,null,21,794902]
[null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total","Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h",null,{"$f":"ROW()","v":153},null,22,611437.01207357203,null,22,118960.42241296166,null,22,10002.362928643657,null,22,118264.17740293613,null,22,801631]
[null,"3. Pickup in taxi zone N ext: 96-110 St (W side only)","Share of Uber-Lyft trips:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154},null,23,587653.28253109998,null,23,103459.86619745487,null,23,8913.0072744960235,null,23,115388.14993844606,null,23,761254]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},null,"TOTAL",{"$f":"SUM(R131:R154)","v":10772717.328682473},null,"TOTAL",{"$f":"SUM(U131:U154)","v":2443680.7361875973},null,"TOTAL",{"$f":"SUM(X131:X154)","v":207476.7284029302},null,"TOTAL",{"$f":"SUM(AA131:AA154)","v":2151340.3102319092},null,"TOTAL",{"$f":"SUM(AD131:AD154)","v":14540700}]
[null,null,{"$f":"J24","v":5.9019604291211522E-3},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156},null,null,0.69165769185802606,null,null,0.15689547270764131,null,null,1.3320954286932541E-2,null,null,0.13812588114740004,null,null,1]
[null,"Fare Miles",{"$f":"G397","v":2.8},null,{"$f":"CONCATENATE(\"Allocation of total miles in Rows \",O160, \"-\",O163, \" among CBD, CBD north and out-of-taxi-zone is from Row \",O$395,\". Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows \",O$75, \"-\",O$77, \".\")","v":"Allocation of total miles in Rows 160-163 among CBD, CBD north and out-of-taxi-zone is from Row 395. Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows 75-77."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"copied from Cell G\",O424, \".\")","v":"copied from Cell G424."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Drop $",null,null,{"$f":"$H$75","v":3},{"$f":"$H$75","v":3},null,{"$f":"$H$75","v":3},null,{"$f":"$N$75*IF('Policy Levers'!$K$161=60,$H$397,IF('Policy Levers'!$K$161=96,AVERAGE($H$397,$K$397),IF('Policy Levers'!$K$161=110,1,$K$398)))","v":3.5},{"$f":"$J159*'Policy Levers'!$K$177","v":2.9611966828135969},null,{"$f":"$J159*'Policy Levers'!$K$178","v":1.8320055598051419},null,{"$f":"ROW()","v":159},null,"CBD all days",null,null,"60-96 all days",null,null,"W96-W110 all days",null,null,"No zone involve all days",null,null,"All Manhattan all days"]
[null,"Miles in CBD",{"$f":"E397*C157","v":1.26},null,{"$f":"$C160*$H$76","v":2.7090000000000001},2.7090000000000001,null,{"$f":"$C160*$H$76","v":2.7090000000000001},null,{"$f":"$C160*$N$76","v":1.26E-5},{"$f":"$C160*$N$76*'Policy Levers'!$K$177","v":1.0660308058128948E-5},null,{"$f":"$C160*$N$76*'Policy Levers'!$K$178","v":6.5952200152985108E-6},null,{"$f":"ROW()","v":160},null,0,1445817,null,0,201188,null,0,16948,null,0,244277,null,0,1908230]
[null,"Miles in 60-96",{"$f":"((F397-E397)*C157)*Cordon!$I$363","v":0.73592920353982305},null,1.5822477876106196,1.5822477876106196,null,{"$f":"$C161*$H$76","v":1.5822477876106196},null,{"$f":"$C161*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":7.35929203539823E-6},{"$f":"$C161*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":6.2263746180222171E-6},null,{"$f":"$C161*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":3.852075407165502E-6},null,{"$f":"ROW()","v":161},null,1,1029704,null,1,113994,null,1,10721,null,1,170312,null,1,1324731]
[null,"Miles in 96-110",{"$f":"((F397-E397)*C157)*(1-Cordon!$I$363)","v":0.10407079646017696},null,0.22375221238938045,0.22375221238938045,null,{"$f":"$C162*$H$76","v":0.22375221238938045},null,{"$f":"$C162*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"$C162*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"$C162*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":162},null,2,721243,null,2,64434,null,2,6740,null,2,118902,null,2,911319]
[null,"Miles out of zone",{"$f":"C157-SUM(C160:C162)","v":0.69999999999999973},null,1.5049999999999994,1.5049999999999994,null,{"$f":"$C163*$H$76","v":1.5049999999999994},null,{"$f":"$C163*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)","v":0},{"$f":"$C163*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"$C163*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":163},null,3,505847,null,3,45132,null,3,5154,null,3,91370,null,3,647503]
[null,"Mileage $",null,null,{"$f":"SUM(E160:E163)","v":6.02},{"$f":"SUM(F160:F163)","v":6.02},null,{"$f":"SUM(H160:H163)","v":6.02},null,{"$f":"J160+J161+J163","v":1.995929203539823E-5},{"$f":"K160+K161+K163","v":1.6886682676151165E-5},null,{"$f":"M160+M161+M163","v":1.0447295422464012E-5},null,{"$f":"ROW()","v":164},null,4,401804,null,4,59067,null,4,6504,null,4,93241,null,4,560616]
[null,"Speed in CBD",null,null,{"$f":"E$86","v":6.9041351017450152},{"$f":"E$87","v":12.329561288276389},null,{"$f":"E$88","v":9.8998557109707424},null,{"$f":"J$86","v":8.4657466451279682},{"$f":"J$87","v":13.605358016714327},null,{"$f":"J$88","v":11.117061699247159},null,{"$f":"ROW()","v":165},null,5,359863,null,5,94074,null,5,9874,null,5,102229,null,5,566040]
[null,"Minutes in CBD",null,null,{"$f":"$C160*60/E165","v":10.949959536697385},{"$f":"$C160*60/F165","v":6.1316050289546427},null,{"$f":"$C160*60/H165","v":7.6364749353086223},null,{"$f":"$C160*60/J165","v":8.9301042387687968},{"$f":"$C160*60/K165","v":5.5566343720705174},null,{"$f":"$C160*60/M165","v":6.8003580483069177},null,{"$f":"ROW()","v":166},null,6,576854,null,6,208800,null,6,18904,null,6,160830,null,6,965388]
[null,"Time $ in CBD",null,null,{"$f":"E166*$H$77","v":4.3799838146789538},{"$f":"F166*$H$77","v":2.4526420115818572},null,{"$f":"H166*$H$77","v":3.054589974123449},null,{"$f":"J166*$N$77","v":8.9301042387687955E-5},{"$f":"K166*$N$77*'Policy Levers'!$K$177","v":4.7012249343380649E-5},null,{"$f":"M166*$N$77*'Policy Levers'!$K$178","v":3.5595125009039762E-5},null,{"$f":"ROW()","v":167},null,7,934980,null,7,462280,null,7,35733,null,7,255899,null,7,1688892]
[null,"Speed in 60-96",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":168},null,8,1299193,null,8,565803,null,8,37251,null,8,293228,null,8,2195475]
[null,"Minutes in 60-96",null,null,{"$f":"$C161*60/E168","v":3.581001176708559},{"$f":"$C161*60/F168","v":1.8297587073026782},null,{"$f":"$C161*60/H168","v":2.2634360013672028},null,{"$f":"$C161*60/J168","v":3.2180907989499516},{"$f":"$C161*60/K168","v":1.7663825470681769},null,{"$f":"$C161*60/M168","v":2.1352079598670897},null,{"$f":"ROW()","v":169},null,9,1344847,null,9,469932,null,9,35774,null,9,277236,null,9,2127789]
[null,"Time $ in 60-96",null,null,{"$f":"E169*$H$77","v":1.4324004706834237},{"$f":"F169*$H$77","v":0.73190348292107132},null,{"$f":"H169*$H$77","v":0.90537440054688112},null,{"$f":"J169*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":3.2180907989499513E-5},{"$f":"K169*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":1.4944588968451764E-5},null,{"$f":"M169*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":1.1176322439476292E-5},null,{"$f":"ROW()","v":170},null,10,1157599,null,10,390016,null,10,31425,null,10,246399,null,10,1825439]
[null,"Speed in 96-110",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":171},null,11,1227837,null,11,380360,null,11,29092,null,11,240937,null,11,1878226]
[null,"Minutes in 96-110",null,null,{"$f":"$C162*60/E171","v":0.50640420680727072},{"$f":"$C162*60/F171","v":0.25875375658825744},null,{"$f":"$C162*60/H171","v":0.32008185877920031},null,{"$f":"$C162*60/J171","v":0.45508354732625567},{"$f":"$C162*60/K171","v":0.24979147130257037},null,{"$f":"$C162*60/M171","v":0.3019486003852449},null,{"$f":"ROW()","v":172},null,12,1306643,null,12,393418,null,12,28116,null,12,247987,null,12,1976164]
[null,"Time $ in 96-110",null,null,{"$f":"E172*$H$77","v":0.20256168272290831},{"$f":"F172*$H$77","v":0.10350150263530299},null,{"$f":"H172*$H$77","v":0.12803274351168012},null,{"$f":"J172*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"K172*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"M172*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":173},null,13,1338363,null,13,387523,null,13,27340,null,13,255356,null,13,2008582]
[null,"Speed out of zone",null,null,{"$f":"F$86","v":17.756986206779487},{"$f":"F$87","v":35.934455203254537},null,{"$f":"F$88","v":29.11671218466898},null,{"$f":"K$86","v":18.976457426178658},{"$f":"K$87","v":36.390326423984696},null,{"$f":"K$88","v":30.242611964706345},null,{"$f":"ROW()","v":174},null,14,1386537,null,14,405095,null,14,27807,null,14,270921,null,14,2090360]
[null,"Minutes out of zone",null,null,{"$f":"$C163*60/E174","v":2.3652662400539959},{"$f":"$C163*60/F174","v":1.1687946780447114},null,{"$f":"$C163*60/H174","v":1.4424705555222177},null,{"$f":"$C163*60/J174","v":2.2132687390882335},{"$f":"$C163*60/K174","v":1.1541528787254292},null,{"$f":"$C163*60/M174","v":1.3887689346745156},null,{"$f":"ROW()","v":175},null,15,1446785,null,15,452817,null,15,28249,null,15,283062,null,15,2210913]
[null,"Time $ out of zone",null,null,{"$f":"E175*$H$77","v":0.94610649602159835},{"$f":"F175*$H$77","v":0.46751787121788457},null,{"$f":"H175*$H$77","v":0.57698822220888712},null,{"$f":"J175*$N$77*IF('Policy Levers'!H243=\"NONE\",1,0)","v":0},{"$f":"K175*$N$77*IF('Policy Levers'!I243=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"M175*$N$77*IF('Policy Levers'!K243=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":176},null,16,1577950,null,16,470636,null,16,29474,null,16,298396,null,16,2376456]
[null,"Total $",null,null,{"$f":"E159+E164+E167+E170+E173+E176","v":15.981052464106885},12.775564868356117,null,{"$f":"H159+H164+H167+H170+H173+H176","v":13.684985340390897},null,{"$f":"J159+J164+J167+J170+J173+J176","v":3.5001414412424126},{"$f":"K159+K164+K167+K170+K173+K176","v":2.9612755263345849},null,{"$f":"M159+M164+M167+M170+M173+M176","v":1.832062778548013},null,{"$f":"ROW()","v":177},null,17,1960902,null,17,546814,null,17,33953,null,17,335473,null,17,2877142]
[null,null,null,"Total Minutes",{"$f":"E166+E169+E172+E175","v":17.402631160267209},{"$f":"F166+F169+F172+F175","v":9.3889121708902898},null,{"$f":"H166+H169+H172+H175","v":11.662463350977244},null,{"$f":"J166+J169+J172+J175","v":14.816547324133237},8.7269612691666936,null,{"$f":"M166+M169+M172+M175","v":10.626283543233768},null,{"$f":"ROW()","v":178},null,18,2303815,null,18,583752,null,18,38772,null,18,360069,null,18,3286408]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O178, \".\")","v":"Calculated from Row 178."},null,"Time change factor, w/ pricing",{"$f":"J178/E178","v":0.85139696334894543},{"$f":"K178/F178","v":0.92949652849283948},null,{"$f":"M178/H178","v":0.91115257758502188},null,{"$f":"ROW()","v":179},null,19,2300238,null,19,541692,null,19,36045,null,19,360225,null,19,3238200]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O177, \".\")","v":"Calculated from Row 177."},null,"Surcharge fare factor",{"$f":"1+J177/E177","v":1.2190182060351569},{"$f":"1+K177/F177","v":1.23179214045317},null,{"$f":"1+M177/H177","v":1.1338739306603949},null,{"$f":"ROW()","v":180},null,20,2179263,null,20,451553,null,20,31887,null,20,345289,null,20,3007992]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181},null,21,2155642,null,21,410892,null,21,29386,null,21,345070,null,21,2940990]
[null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total","Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h",null,{"$f":"ROW()","v":182},null,22,2128780,null,22,383797,null,22,27998,null,22,334784,null,22,2875359]
[null,"4. Pickup outside taxi zone","Share of Uber-Lyft trips:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183},null,23,1873202,null,23,307700,null,23,23834,null,23,311485,null,23,2516221]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184},null,"TOTAL",{"$f":"SUM(R160:R183)","v":32963708},null,"TOTAL",{"$f":"SUM(U160:U183)","v":8390769},null,"TOTAL",{"$f":"SUM(X160:X183)","v":606981},null,"TOTAL",{"$f":"SUM(AA160:AA183)","v":6042977},null,"TOTAL",{"$f":"SUM(AD160:AD183)","v":48004435}]
[null,null,{"$f":"SUM(J25:J29)","v":0.59198909905873631},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Fare Miles",4,null,{"$f":"CONCATENATE(\"Allocation of total miles in Rows \",O189, \"-\",O192, \" among CBD, CBD north and out-of-taxi-zone is from Row \",O$395,\". Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows \",O$75, \"-\",O$77, \".\")","v":"Allocation of total miles in Rows 189-192 among CBD, CBD north and out-of-taxi-zone is from Row 395. Dollar figures for drop, mileage and minutes draw on base rates and surcharges in Rows 75-77."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187},null,"Prospective Shift in FHV Trips Between Yellow Cabs and UberLyfts due to Possible Differential Surcharges"]
[null,"Drop $",null,null,{"$f":"$H$75","v":3},{"$f":"$H$75","v":3},null,{"$f":"$H$75","v":3},null,{"$f":"$N$75*IF('Policy Levers'!$K$161=60,$H$398,IF('Policy Levers'!$K$161=96,$K$398,IF('Policy Levers'!$K$161=110,$K$398+0.05,$K$399)))","v":1.1000000000000001},{"$f":"$J188*'Policy Levers'!$K$177","v":0.93066181459855901},null,{"$f":"$J188*'Policy Levers'!$K$178","v":0.57577317593875899},null,{"$f":"ROW()","v":188}]
[null,"Miles in CBD",{"$f":"SUMPRODUCT(D398:D399,E398:E399)/SUM(D398:D399)*C186","v":0.47189174258844957},null,{"$f":"$C189*$H$76","v":1.0145672465651665},1.0145672465651665,null,{"$f":"$C189*$H$76","v":1.0145672465651665},null,{"$f":"$C189*$N$76","v":4.7189174258844954E-6},{"$f":"$C189*$N$76*'Policy Levers'!$K$177","v":3.9924693222858412E-6},null,{"$f":"$C189*$N$76*'Policy Levers'!$K$178","v":2.4700237029947901E-6},null,{"$f":"ROW()","v":189},null,null,null,null,null,null,"Yellow Cabs","Ubers & Lyfts","Combined"]
[null,"Miles in 60-96",{"$f":"(SUMPRODUCT(D398:D399,F398:F399)/SUM(D398:D399)*C186-C189)*(1-Cordon!$I$363)","v":1.0413785857352694E-2},null,2.2389639593308291E-2,2.2389639593308291E-2,null,{"$f":"$C190*$H$76","v":2.2389639593308291E-2},null,{"$f":"$C190*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))","v":1.0413785857352693E-7},{"$f":"$C190*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":8.8106480389496973E-8},null,{"$f":"$C190*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,1,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":5.4508895969400831E-8},null,{"$f":"ROW()","v":190},null,"Baseline fare for typical pickup in Manhattan CBD, weekdays, 6am-8pm",null,null,null,null,{"$f":"'Taxi Farecalcs'!J100","v":10.84239769395241},{"$f":"E119","v":12.607010818952107}]
[null,"Miles in 96-110",{"$f":"(SUMPRODUCT(D398:D399,F398:F399)/SUM(D398:D399)*C186-C189)*Cordon!$I$363","v":7.3640342848422635E-2},null,0.15832673712410866,0.15832673712410866,null,{"$f":"$C191*$H$76","v":0.15832673712410866},null,{"$f":"$C191*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"$C191*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"$C191*$N$76*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":191},null,{"$f":"CONCATENATE(\"Yellow cab figure is from 'Taxi Farecalc' tab, Row \",'Taxi Farecalcs'!O100, \", does not include tip. UberLyft figure is from this tab, Row \",O119, \".\")","v":"Yellow cab figure is from 'Taxi Farecalc' tab, Row 100, does not include tip. UberLyft figure is from this tab, Row 119."}]
[null,"Miles out of zone",{"$f":"C186-SUM(C189:C191)","v":3.4440541287057753},null,7.4047163767174169,7.4047163767174169,null,{"$f":"$C192*$H$76","v":7.4047163767174169},null,{"$f":"$C192*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)","v":0},{"$f":"$C192*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"$C192*$N$76*IF('Policy Levers'!$K$161=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":192},null,"Tip percent addition (if applicable)",null,null,null,null,0.15,2.5000000000000001E-2]
[null,"Mileage $",null,null,{"$f":"SUM(E189:E192)","v":8.6},{"$f":"SUM(F189:F192)","v":8.6},null,{"$f":"SUM(H189:H192)","v":8.6},null,{"$f":"J189+J190+J192","v":4.8230552844580225E-6},{"$f":"K189+K190+K192","v":4.0805758026753381E-6},null,{"$f":"M189+M190+M192","v":2.5245325989641907E-6},null,{"$f":"ROW()","v":193},null,"Komanoff estimates."]
[null,"Speed in CBD",null,null,{"$f":"E$86","v":6.9041351017450152},{"$f":"E$87","v":12.329561288276389},null,{"$f":"E$88","v":9.8998557109707424},null,{"$f":"J$86","v":8.4657466451279682},{"$f":"J$87","v":13.605358016714327},null,{"$f":"J$88","v":11.117061699247159},null,{"$f":"ROW()","v":194},null,"Total baseline fare for typical pickup in Manhattan CBD, weekdays, 6am-8pm",null,null,null,null,{"$f":"V190*(1+V192)","v":12.468757348045271},{"$f":"W190*(1+W192)","v":12.922186089425908}]
[null,"Minutes in CBD",null,null,{"$f":"$C189*60/E194","v":4.1009487992421754},{"$f":"$C189*60/F194","v":2.2963918904583394},null,{"$f":"$C189*60/H194","v":2.8599916384569872},null,{"$f":"$C189*60/J194","v":3.3444781354992918},{"$f":"$C189*60/K194","v":2.0810554577485969},null,{"$f":"$C189*60/M194","v":2.5468514362229677},null,{"$f":"ROW()","v":195},null,{"$f":"CONCATENATE(\"Product of Row \",O190, \" and one plus Row \",O192, \".\")","v":"Product of Row 190 and one plus Row 192."}]
[null,"Time $ in CBD",null,null,{"$f":"E195*$H$77","v":1.6403795196968702},{"$f":"F195*$H$77","v":0.91855675618333577},null,{"$f":"H195*$H$77","v":1.1439966553827949},null,{"$f":"J195*$N$77","v":3.3444781354992914E-5},{"$f":"K195*$N$77*'Policy Levers'!$K$177","v":1.7606898623532215E-5},null,{"$f":"M195*$N$77*'Policy Levers'!$K$178","v":1.333098854616625E-5},null,{"$f":"ROW()","v":196},null,"Baseline daily weekday pickups occurring in Manhattan CBD, all hours",null,null,null,null,{"$f":"Taxis!L89","v":194400},{"$f":"L231","v":188740.24784964451},{"$f":"V196+W196","v":383140.24784964451}]
[null,"Speed in 60-96",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":197},null,{"$f":"CONCATENATE(\"Copied from 'Taxis' tab, Row \",Taxis!O89, \" and this tab, Row \",O231, \".\")","v":"Copied from 'Taxis' tab, Row 89 and this tab, Row 231."}]
[null,"Minutes in 60-96",null,null,{"$f":"$C190*60/E197","v":5.0673052828719541E-2},{"$f":"$C190*60/F197","v":2.5892049475443161E-2},null,{"$f":"$C190*60/H197","v":3.2028811612155608E-2},null,{"$f":"$C190*60/J197","v":4.5537679831954642E-2},{"$f":"$C190*60/K197","v":2.4995243426751475E-2},null,{"$f":"$C190*60/M197","v":3.0214317284892982E-2},null,{"$f":"ROW()","v":198},null,"Respective shares of combined baseline daily (weekday) pickups (24h)",null,null,null,null,{"$f":"V196/$X$196","v":0.50738600575392501},{"$f":"W196/$X$196","v":0.49261399424607494}]
[null,"Time $ in 60-96",null,null,{"$f":"E198*$H$77","v":2.0269221131487818E-2},{"$f":"F198*$H$77","v":1.0356819790177265E-2},null,{"$f":"H198*$H$77","v":1.2811524644862245E-2},null,{"$f":"J198*$N$77*IF('Policy Levers'!H238=60,0,1)","v":4.5537679831954638E-7},{"$f":"K198*$N$77*IF('Policy Levers'!I238=60,0,1)*'Policy Levers'!$K$177","v":2.1147380548975663E-7},null,{"$f":"M198*$N$77*IF('Policy Levers'!K238=60,0,1)*'Policy Levers'!$K$178","v":1.5815084929040152E-7},null,{"$f":"ROW()","v":199},null,{"$f":"CONCATENATE(\"From Row \",O196, \", dividing respective pickups by combined figure.\")","v":"From Row 196, dividing respective pickups by combined figure."}]
[null,"Speed in 96-110",null,null,{"$f":"AVERAGE(E$86:F$86)","v":12.330560654262252},{"$f":"AVERAGE($E$87:$F$87)","v":24.132008245765462},null,{"$f":"AVERAGE(E$88:F$88)","v":19.508283947819862},null,{"$f":"AVERAGE(J$86:K$86)","v":13.721102035653313},{"$f":"AVERAGE($J$87:$K$87)","v":24.997842220349511},null,{"$f":"AVERAGE(J$88:K$88)","v":20.67983683197675},null,{"$f":"ROW()","v":200},null,"Total baseline trip cost, standard deviation, %",null,null,null,null,0.25,{"$f":"V200","v":0.25}]
[null,"Minutes in 96-110",null,null,{"$f":"$C191*60/E200","v":0.35833087357451676},{"$f":"$C191*60/F200","v":0.18309377843349095},null,{"$f":"$C191*60/H200","v":0.22648945354310041},null,{"$f":"$C191*60/J200","v":0.32201645024025072},{"$f":"$C191*60/K200","v":0.17675207851774261},null,{"$f":"$C191*60/M200","v":0.2136583865146004},null,{"$f":"ROW()","v":201},null,"Komanoff assumption"]
[null,"Time $ in 96-110",null,null,{"$f":"E201*$H$77","v":0.14333234942980672},{"$f":"F201*$H$77","v":7.3237511373396388E-2},null,{"$f":"H201*$H$77","v":9.0595781417240173E-2},null,{"$f":"J201*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))","v":0},{"$f":"K201*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$177","v":0},null,{"$f":"M201*$N$77*IF('Policy Levers'!$K$161=60,0,IF('Policy Levers'!$K$161=96,0,IF('Policy Levers'!$K$161=110,1,0)))*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":202},null,"Total baseline trip cost, standard deviation, in $",null,null,null,null,{"$f":"V200*V194","v":3.1171893370113177},{"$f":"W200*W194","v":3.2305465223564771}]
[null,"Speed out of zone",null,null,{"$f":"F$86","v":17.756986206779487},{"$f":"F$87","v":35.934455203254537},null,{"$f":"F$88","v":29.11671218466898},null,{"$f":"K$86","v":18.976457426178658},{"$f":"K$87","v":36.390326423984696},null,{"$f":"K$88","v":30.242611964706345},null,{"$f":"ROW()","v":203},null,{"$f":"CONCATENATE(\"Product of Rows \",O194, \" and \",O200, \".\")","v":"Product of Rows 194 and 200."}]
[null,"Minutes out of zone",null,null,{"$f":"$C192*60/E203","v":11.637292799351933},{"$f":"$C192*60/F203","v":5.7505601950417526},null,{"$f":"$C192*60/H203","v":7.0970666746897271},null,{"$f":"$C192*60/J203","v":10.8894533411318},{"$f":"$C192*60/K203","v":5.6785214101885311},null,{"$f":"$C192*60/M203","v":6.8328505475486967},null,{"$f":"ROW()","v":204},null,"Mean of difference in baseline price between cabs and UberLyfts",null,null,null,null,{"$f":"W194-V194","v":0.45342874138063749}]
[null,"Time $ out of zone",null,null,{"$f":"E204*$H$77","v":4.654917119740773},{"$f":"F204*$H$77","v":2.3002240780167011},null,{"$f":"H204*$H$77","v":2.8388266698758908},null,{"$f":"J204*$N$77*IF('Policy Levers'!H239=\"NONE\",1,0)","v":0},{"$f":"K204*$N$77*IF('Policy Levers'!I239=\"NONE\",1,0)*'Policy Levers'!$K$177","v":0},null,{"$f":"M204*$N$77*IF('Policy Levers'!K239=\"NONE\",1,0)*'Policy Levers'!$K$178","v":0},null,{"$f":"ROW()","v":205},null,{"$f":"CONCATENATE(\"Difference between respective figures in Row \",O194, \".\")","v":"Difference between respective figures in Row 194."}]
[null,"Total $",null,null,{"$f":"E188+E193+E196+E199+E202+E205","v":18.058898209998937},14.902375165363608,null,{"$f":"H188+H193+H196+H199+H202+H205","v":15.686230631320788},null,{"$f":"J188+J193+J196+J199+J202+J205","v":1.1000387232134379},{"$f":"K188+K193+K196+K199+K202+K205","v":0.93068371354679069},null,{"$f":"M188+M193+M196+M199+M202+M205","v":0.57578918961075343},null,{"$f":"ROW()","v":206},null,"Standard deviation of difference in baseline price between cabs and UberLyfts",null,null,null,null,{"$f":"(V202^2+W202^2)^0.5","v":4.4892427196451061}]
[null,null,null,"Total Minutes",{"$f":"E195+E198+E201+E204","v":16.147245524997345},{"$f":"F195+F198+F201+F204","v":8.2559379134090261},null,{"$f":"H195+H198+H201+H204","v":10.21557657830197},null,{"$f":"J195+J198+J201+J204","v":14.601485606703296},7.9613241898816218,null,{"$f":"M195+M198+M201+M204","v":9.623574687571157},null,{"$f":"ROW()","v":207},null,"Uses mathematical formula for standard deviation of difference between two normal distributions."]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O207, \".\")","v":"Calculated from Row 207."},null,"Time change factor, w/ pricing",{"$f":"J207/E207","v":0.90427098442882548},{"$f":"K207/F207","v":0.96431492985807199},null,{"$f":"M207/H207","v":0.94204909667181846},null,{"$f":"ROW()","v":208},null,"Share of trips for which cab price is less than UberLyft  price",null,null,null,null,{"$f":"NORMSDIST((V204/V206))","v":0.54022611616684224}]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated from Row \",O206, \".\")","v":"Calculated from Row 206."},null,"Surcharge fare factor",{"$f":"1+J206/E206","v":1.0609139444954823},{"$f":"1+K206/F206","v":1.062452038901148},null,{"$f":"1+M206/H206","v":1.0367066635155211},null,{"$f":"ROW()","v":209},null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210},null,"Possible surcharges for weekday pickups in Manhattan CBD, all hours",null,null,null,null,{"$f":"Revenues!K78","v":3.8571186673603095},{"$f":"Revenues!O78","v":3.2019540947950431}]
[null,"Part D. Detailed UberLyft / TNC (Transportation Network Company) Parameters (baseline)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211},null,{"$f":"CONCATENATE(\"Copied from 'Revenues' tab, Cells K\",Revenues!R78,\" for cabs, O\",Revenues!R78, \" for UberLyfts.\")","v":"Copied from 'Revenues' tab, Cells K78 for cabs, O78 for UberLyfts."}]
[null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":212},null,"Total fare with possible surcharges, for pickups in CBD, weekdays, 6am-8pm",null,null,null,null,{"$f":"V194+V210","v":16.32587601540558},{"$f":"W194+W210","v":16.124140184220952}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213},null,{"$f":"CONCATENATE(\"Sum of Rows \",O194, \" and \",O210, \". Note: no tips are applied to surcharges.\")","v":"Sum of Rows 194 and 210. Note: no tips are applied to surcharges."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214},null,"Surcharged trip cost, standard deviation, in $",null,null,null,null,{"$f":"V212*V200","v":4.081469003851395},{"$f":"W212*W200","v":4.031035046055238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215},null,{"$f":"CONCATENATE(\"Product of Rows \",O206, \" and \",O212, \".\")","v":"Product of Rows 206 and 212."}]
[null,"TNC ridership, daily # of fare trips, 2018 (first half)",null,null,null,null,null,null,null,{"$f":"ROUND(SUM(H418:K418)*L216,-3)","v":371000},{"$f":"L216-J216","v":209683.65575151052},{"$f":"J43","v":580683.65575151052},{"$f":"K43","v":679843.95592752181},{"$f":"(L216*Constants!$J$35+M216*Constants!$J$36)/(Constants!$J$35+Constants!$J$36)","v":608623.85082872922},{"$f":"ROW()","v":216},null,"Mean of difference in surcharged price between cabs and UberLyfts",null,null,null,null,{"$f":"W212-V212","v":-0.20173583118462801}]
[null,{"$f":"CONCATENATE(\"Cell N\",O216,\" is copied from Cell I\",O25,\". Cells L\",O216,\" and M\",O216,\" are copied from Cells J\",O38,\" and K\",O38,\". Columns J & K apportion Column L figure based on 24h TNC distributions in Row \",O418, \".\")","v":"Cell N216 is copied from Cell I25. Cells L216 and M216 are copied from Cells J38 and K38. Columns J & K apportion Column L figure based on 24h TNC distributions in Row 418."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217},null,{"$f":"CONCATENATE(\"Difference between respective figures in Row \",O206, \".\")","v":"Difference between respective figures in Row 206."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218},null,"Standard deviation of difference in surcharged price between cabs and UberLyfts",null,null,null,null,{"$f":"(V214^2+W214^2)^0.5","v":5.7365174776971832}]
[null,"Passengers per trip, baseline",null,null,null,null,null,null,null,1.4,1.4,1.4,1.5,null,{"$f":"ROW()","v":219},null,"Uses mathematical formula for standard deviation of difference between two normal distributions."]
[null,{"$f":"CONCATENATE(\"Assumed same as weekday and weekend occupancies for yellow taxis, shown in 'Taxis' tab, Row \",Taxis!O74, \".\")","v":"Assumed same as weekday and weekend occupancies for yellow taxis, shown in 'Taxis' tab, Row 74."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220},null,"Share of trips for which surcharged cab price is less than UberLyft  price",null,null,null,null,{"$f":"NORMSDIST((V216/V218))","v":0.4859733074532715}]
[null,"TNC ridership, daily # of passengers, 2018 (first half)",null,null,null,null,null,null,null,null,null,{"$f":"L216*L219","v":812957.11805211473},{"$f":"M216*M219","v":1019765.9338912826},null,{"$f":"ROW()","v":221},null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other."]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O219, \" and \",O216, \".\")","v":"Product of Rows 219 and 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222},null,"∆ from baseline % of trips for which surch'd cab price is less than Uber  price",null,null,null,null,{"$f":"V220-V208","v":-5.4252808713570744E-2}]
[null,"Share of TNC pickups occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"L223","v":0.32052156527651504},{"$f":"L223","v":0.32052156527651504},{"$f":"J22","v":0.32052156527651504},{"$f":"L223","v":0.32052156527651504},null,{"$f":"ROW()","v":223},null,{"$f":"CONCATENATE(\"Difference between Rows \",O208, \" and \",O220, \".\")","v":"Difference between Rows 208 and 220."}]
[null,{"$f":"CONCATENATE(\"Column L is from Row \",O$17, \". Other columns are from that cell.\")","v":"Column L is from Row 17. Other columns are from that cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224},null,"Factor to convert ∆ in % of FHV trips for which cab cheaper to ∆ in cab % of trips",null,null,null,null,0.5]
[null,"Share of TNC pickups occurring in main northern part of Manhattan taxi zone (60-96 Streets)",null,null,null,null,null,null,null,{"$f":"L225","v":8.1587375235627563E-2},{"$f":"L225","v":8.1587375235627563E-2},{"$f":"J23","v":8.1587375235627563E-2},{"$f":"L225","v":8.1587375235627563E-2},null,{"$f":"ROW()","v":225},null,"Komanoff assumption"]
[null,{"$f":"CONCATENATE(\"Column L is from Row \",O$17, \". Other columns are from that cell.\")","v":"Column L is from Row 17. Other columns are from that cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226},null,"Change from baseline % of FHV trips that are made by cab",null,null,null,null,{"$f":"V224*V222","v":-2.7126404356785372E-2}]
[null,"Share of TNC pickups occurring in northern extension of Manhattan taxi zone (96-110 Streets, W side)",null,null,null,null,null,null,null,{"$f":"L227","v":5.9019604291211522E-3},{"$f":"L227","v":5.9019604291211522E-3},{"$f":"J24","v":5.9019604291211522E-3},{"$f":"L227","v":5.9019604291211522E-3},null,{"$f":"ROW()","v":227},null,{"$f":"CONCATENATE(\"Product of Rows \",O222, \" and \",O224, \".\")","v":"Product of Rows 222 and 224."}]
[null,{"$f":"CONCATENATE(\"Column L is from Row \",O$17, \". Other columns are from that cell.\")","v":"Column L is from Row 17. Other columns are from that cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228},null,"Weekday UberLyft trips originating in Manhattan taxi zone (96th St to Battery)",null,null,null,null,{"$f":"L$231+L$233","v":239079.16581420013}]
[null,"Share of TNC pickups occurring in Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"SUM(J223:J227)","v":0.4080109009412638},{"$f":"SUM(K223:K227)","v":0.4080109009412638},{"$f":"SUM(L223:L227)","v":0.4080109009412638},{"$f":"SUM(M223:M227)","v":0.4080109009412638},null,{"$f":"ROW()","v":229},null,{"$f":"CONCATENATE(\"Sum of Cells L\",O$231, \" and L\",O$233, \" (pickups in CBD + 60-96 St, weekdays).\")","v":"Sum of Cells L231 and L233 (pickups in CBD + 60-96 St, weekdays)."}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O223, \"-\",O227, \".\")","v":"Sum of Rows 223-227."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230},null,"Annual UberLyft weekday trips originating in Manhattan taxi zone (96th St to Batt)",null,null,null,null,{"$f":"ROUND(V228*weekday_per_yr,-5)","v":59800000}]
[null,"TNC pickups occurring in Manhattan CBD (baseline)",null,null,null,null,null,null,null,{"$f":"SUM(R108:R121)/Constants!$J$35","v":120473.88603345289},{"$f":"SUM(R102:R107,R122:R125)/Constants!$J$35","v":68266.361816191609},{"$f":"J231+K231","v":188740.24784964451},{"$f":"R155/Constants!$J$36","v":211229.75154279359},null,{"$f":"ROW()","v":231},null,{"$f":"CONCATENATE(\"Product of Row \",O226, \" and # of weekdays in year, from 'Constants'tab.\")","v":"Product of Row 226 and # of weekdays in year, from 'Constants'tab."}]
[null,{"$f":"CONCATENATE(\"Calculated from hourly pickups given in Rows \",$O$102, \"-\",O125, \", Column R.\")","v":"Calculated from hourly pickups given in Rows 102-125, Column R."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232},null,"Daily weekend UberLyft trips originating in Manhattan taxi zone (96th St to Batt.)",null,null,null,null,{"$f":"M231+M233","v":259145.06009549159}]
[null,"TNC pickups occurring in main northern part of Manhattan taxi zone (60-96 Streets, baseline)",null,null,null,null,null,null,null,{"$f":"SUM(U108:U121)/Constants!$J$35","v":38554.035976871921},{"$f":"SUM(U102:U107,U122:U125)/Constants!$J$35","v":11784.881987683686},{"$f":"J233+K233","v":50338.917964555607},{"$f":"U155/Constants!$J$36","v":47915.308552697985},null,{"$f":"ROW()","v":233},null,{"$f":"CONCATENATE(\"Sum of Cells M\",O$231, \" and M\",O$233, \" (pickups in CBD + 60-96 St, weekdays).\")","v":"Sum of Cells M231 and M233 (pickups in CBD + 60-96 St, weekdays)."}]
[null,{"$f":"CONCATENATE(\"Same as noted in Row \",O$232, \" except Col. U is used.\")","v":"Same as noted in Row 232 except Col. U is used."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234},null,"Annual UberLyft weekend trips originating in Manhattan taxi zone (96th St to Batt)",null,null,null,null,{"$f":"ROUND(V232*wkend_per_yr,-5)","v":29800000}]
[null,"TNC pickups occurring in northern extension of Manhattan taxi zone (96-110 Streets, W side, baseline)",null,null,null,null,null,null,null,{"$f":"SUM(X108:X121)/Constants!$J$35","v":2511.5081835015517},{"$f":"SUM(X102:X107,X122:X125)/Constants!$J$35","v":893.78908239667589},{"$f":"J235+K235","v":3405.2972658982276},{"$f":"X155/Constants!$J$36","v":4068.1711451554938},null,{"$f":"ROW()","v":235},null,{"$f":"CONCATENATE(\"Product of Row \",O230, \" and # of weekend days + holidays in year, from 'Constants'tab.\")","v":"Product of Row 230 and # of weekend days + holidays in year, from 'Constants'tab."}]
[null,{"$f":"CONCATENATE(\"Same as noted in Row \",O$232, \" except Col. X is used.\")","v":"Same as noted in Row 232 except Col. X is used."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236},null,"Annual UberLyft trips originating in Manhattan taxi zone (96th St to Battery)",null,null,null,null,{"$f":"V230+V234","v":89600000}]
[null,"TNC pickups occurring in Manhattan taxi zone outside of CBD (baseline)",null,null,null,null,null,null,null,{"$f":"J233+J235","v":41065.544160373473},{"$f":"K233+K235","v":12678.671070080361},{"$f":"J237+K237","v":53744.215230453832},{"$f":"M233+M235","v":51983.47969785348},null,{"$f":"ROW()","v":237},null,{"$f":"CONCATENATE(\"Sum of Rows \",O$230, \" and \",O$234, \" (pickups in CBD + 60-96 St, weekdays).\")","v":"Sum of Rows 230 and 234 (pickups in CBD + 60-96 St, weekdays)."}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O233, \" and \",O235,\".\")","v":"Sum of Rows 233 and 235."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238},null,"Change from baseline number of FHV trips that are made by cab",null,null,null,null,{"$f":"ROUND(V226*V236,-3)","v":-2431000}]
[null,"TNC pickups occurring outside taxi zone (baseline) ",null,null,null,null,null,null,null,{"$f":"J216-SUM(J231:J235)","v":209460.56980617365},{"$f":"K216-SUM(K231:K235)","v":128738.62286523856},{"$f":"J239+K239","v":338199.19267141219},{"$f":"M216-SUM(M231:M235)","v":416630.72468687472},null,{"$f":"ROW()","v":239},null,{"$f":"CONCATENATE(\"Product of Rows \",O226, \" and \",O236, \".\")","v":"Product of Rows 226 and 236."}]
[null,{"$f":"CONCATENATE(\"Row \",$O$216,\" less sum of Rows \",,O231,\"-\",O235,\".\")","v":"Row 216 less sum of Rows 231-235."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Daily miles in CBD for TNC pickups occurring in Manhattan CBD (baseline)",null,null,null,null,null,null,null,{"$f":"J231*$C$102","v":184325.04563118293},{"$f":"K231*$C$102","v":104447.53357877316},{"$f":"J241+K241","v":288772.57920995611},{"$f":"M231*$C$102","v":323181.51986047422},null,{"$f":"ROW()","v":241}]
[null,{"$f":"CONCATENATE(\"Row \",O231, \" times Row \",,O102, \".\")","v":"Row 231 times Row 102."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"Daily miles in CBD for TNC pickups occurring in main northern part of Manhattan taxi zone (60-96 Streets, baseline)",null,null,null,null,null,null,null,{"$f":"J233*$C$131","v":59373.215404382761},{"$f":"K233*$C$131","v":18148.718261032878},77521.933665415636,{"$f":"M233*$C$131","v":73789.575171154895},null,{"$f":"ROW()","v":243}]
[null,{"$f":"CONCATENATE(\"Row \",O233, \" times Row \",,O131, \".\")","v":"Row 233 times Row 131."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Daily miles in CBD for TNC pickups occurring in northern extension of Manhattan taxi zone (96-110 Streets, W side, baseline)",null,null,null,null,null,null,null,{"$f":"J235*$C$160","v":3164.5003112119552},{"$f":"K235*$C$160","v":1126.1742438198116},4290.6745550317664,{"$f":"M235*$C$160","v":5125.8956428959218},null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Row \",O235, \" times Row \",,O160, \".\")","v":"Row 235 times Row 160."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Daily miles in CBD for TNC pickups occurring outside Manhattan taxi zone (baseline)",null,null,null,null,null,null,null,{"$f":"J239*$C$189","v":98842.71328940487},{"$f":"K239*$C$189","v":60750.693082314647},159593.40637171952,{"$f":"M239*$C$189","v":196604.59868837788},null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Row \",O239, \" times Row \",,O189, \".\")","v":"Row 239 times Row 189."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Daily miles in CBD for all TNC pickups (baseline)",null,null,null,null,null,null,null,{"$f":"SUM(J241:J247)","v":345705.47463618254},{"$f":"SUM(K241:K247)","v":184473.1191659405},530178.5938021231,{"$f":"SUM(M241:M247)","v":598701.58936290292},null,{"$f":"ROW()","v":249}]
[null,"Sum of four prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Daily miles in CBD for all TNC pickups, including cruising (baseline)",null,null,null,null,null,null,null,{"$f":"J249/(1-$L$342)","v":576175.79106030427},{"$f":"K249/(1-$L$342)","v":307455.19860990084},883630.98967020516,{"$f":"M249/(1-$L$342)","v":997835.98227150494},null,{"$f":"ROW()","v":251}]
[null,{"$f":"CONCATENATE(\"Row \",O249, \" divided by complement of baseline cruising percentage in Row \",O342, \".\")","v":"Row 249 divided by complement of baseline cruising percentage in Row 342."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Part E. Detailed UberLyft / TNC (Transportation Network Company) Parameters (with traffic pricing, including applicable surcharges)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,{"$f":"CONCATENATE(\"Taxi price-elasticity is increased from its base value if most of the taxi price increase is expressed via 'the drop' -- the initial charge -- rather than thu time or mileage charges. Cell H\",O256,\" is the threshold figure used in the model. If the drop equals or exceeds that amount, the model applies the higher price-elasticity.\")","v":"Taxi price-elasticity is increased from its base value if most of the taxi price increase is expressed via 'the drop' -- the initial charge -- rather than thu time or mileage charges. Cell H256 is the threshold figure used in the model. If the drop equals or exceeds that amount, the model applies the higher price-elasticity."},null,null,null,null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":255}]
[null,null,null,null,null,null,null,2,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Demand mutiplier for TNC pickups occurring in Manhattan CBD, due to surcharge",null,null,null,null,null,null,null,{"$f":"(J122)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.9117904002047349},{"$f":"(K122)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.90734094830053036},null,{"$f":"(M122)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.94271992967299423},null,{"$f":"ROW()","v":259}]
[null,"Demand mutiplier for TNC pickups occurring in main northern part of Manhattan taxi zone (60-96 Streets), due to surcharge ",null,null,null,null,null,null,null,{"$f":"(J151)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.93017488332690035},{"$f":"(K151)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.92617349050272146},null,{"$f":"(M151)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.95495757746444032},null,{"$f":"ROW()","v":260}]
[null,"Demand mutiplier for TNC pickups occurring in N extension of Manhattan taxi zone (96-110 Streets, W side), due to surcharge ",null,null,null,null,null,null,null,{"$f":"(J180)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.93118577061438834},{"$f":"(K180)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.92769779781579709},null,{"$f":"(M180)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.95577723614065246},null,{"$f":"ROW()","v":261}]
[null,"Demand mutiplier for TNC pickups occurring outside Manhattan taxi zone, due to surcharge",null,null,null,null,null,null,null,{"$f":"(J209)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.97893790108218937},{"$f":"(K209)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.97842747529682728},null,{"$f":"(M209)^IF('Policy Levers'!$K$167>=2,Elasticities!$G$73,Elasticities!$G$71)","v":0.98710619973495062},null,{"$f":"ROW()","v":262}]
[null,{"$f":"CONCATENATE(\"Figures in 4 preceding rows are calculated by exponentiating Rows \",O122, \", \",O151, \", \",O180,\" and \",O209, \" to the taxi/FHV price-elasticity figure in Row \",Elasticities!O71, \" of 'Elasticities' worksheet.\")","v":"Figures in 4 preceding rows are calculated by exponentiating Rows 122, 151, 180 and 209 to the taxi/FHV price-elasticity figure in Row 71 of 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Demand mutiplier for TNC pickups occurring in Manhattan CBD, due to speed change",null,null,null,null,null,null,null,{"$f":"(J121)^Elasticities!$G$72","v":1.1238423198737109},{"$f":"(K121)^Elasticities!$G$72","v":1.057554037887307},null,{"$f":"(M121)^Elasticities!$G$72","v":1.0690488962694433},null,{"$f":"ROW()","v":264}]
[null,"Demand mutiplier for TNC pickups occurring in main northern part of Manhattan taxi zone (60-96 Streets), due to speed change",null,null,null,null,null,null,null,{"$f":"(J150)^Elasticities!$G$72","v":1.1080121016862068},{"$f":"(K150)^Elasticities!$G$72","v":1.0486920217941387},null,{"$f":"(M150)^Elasticities!$G$72","v":1.060944002104951},null,{"$f":"ROW()","v":265}]
[null,"Demand mutiplier for TNC pickups occurring in N extension of Manhattan taxi zone (96-110 Streets, W side), due to speed change ",null,null,null,null,null,null,null,{"$f":"(J179)^Elasticities!$G$72","v":1.1013382985513875},{"$f":"(K179)^Elasticities!$G$72","v":1.0448437199891303},null,{"$f":"(M179)^Elasticities!$G$72","v":1.0574146794062584},null,{"$f":"ROW()","v":266}]
[null,"Demand mutiplier for TNC pickups occurring outside Manhattan taxi zone, due to speed change",null,null,null,null,null,null,null,{"$f":"(J208)^Elasticities!$G$72","v":1.062235575986946},{"$f":"(K208)^Elasticities!$G$72","v":1.0220418174347354},null,{"$f":"(M208)^Elasticities!$G$72","v":1.0364679506708601},null,{"$f":"ROW()","v":267}]
[null,{"$f":"CONCATENATE(\"Rows \",O121, \", \",O150, \", \",O179, \" and \",O208, \" exponentiated to the taxi/FHV time-elasticity figure in Row \",Elasticities!O72, \" of 'Elasticities' worksheet.\")","v":"Rows 121, 150, 179 and 208 exponentiated to the taxi/FHV time-elasticity figure in Row 72 of 'Elasticities' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Combined demand mutipliers for TNC pickups due to surcharge + speed change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"Combined demand mutiplier for TNC pickups occurring in Manhattan CBD, due to surcharge",null,null,null,null,null,null,null,{"$f":"J259*J264","v":1.0247086386046684},0.95956208361572415,null,{"$f":"M259*M264","v":1.0078137003081218},{"$f":"(Constants!$J$24*J270*J231+Constants!$J$24*K270*K231+Constants!$J$26*M270*M231)/(Constants!$J$24*L231+Constants!$J$26*M231)","v":1.0034116809558444},{"$f":"ROW()","v":270}]
[null,"Combined demand mutiplier for TNC pickups occurring in main N part of Manhattan taxi zone (60-96 Streets), due to surcharge",null,null,null,null,null,null,null,1.030645027410761,0.97127075028743348,null,{"$f":"M260*M265","v":1.0131565140755721},{"$f":"(Constants!$J$24*J271*J233+Constants!$J$24*K271*K233+Constants!$J$26*M271*M233)/(Constants!$J$24*L233+Constants!$J$26*M233)","v":1.0156521494607289},{"$f":"ROW()","v":271}]
[null,"Combined demand mult for TNC pickups occurring in N ext of Manhattan taxi zone (96-110 Streets, W side), due to surcharge ",null,null,null,null,null,null,null,1.0255505522437132,0.96929921809558151,null,{"$f":"M261*M266","v":1.0106528797374679},{"$f":"(Constants!$J$24*J272*J235+Constants!$J$24*K272*K235+Constants!$J$26*M272*M235)/(Constants!$J$24*L235+Constants!$J$26*M235)","v":1.0107389522657033},{"$f":"ROW()","v":272}]
[null,"Combined demand mutiplier for TNC pickups occurring outside Manhattan taxi zone, due to surcharge",null,null,null,null,null,null,null,{"$f":"J262*J267","v":1.0398626652114913},0.99999379508044905,null,{"$f":"M262*M267","v":1.0231039399337849},{"$f":"(Constants!$J$24*J273*J239+Constants!$J$24*K273*K239+Constants!$J$26*M273*M239)/(Constants!$J$24*L239+Constants!$J$26*M239)","v":1.0241138948341169},{"$f":"ROW()","v":273}]
[null,{"$f":"CONCATENATE(\"Each row is product of corresponding Rows \",O259, \"-\",O262, \" and \",O264, \"-\",O267, \".\")","v":"Each row is product of corresponding Rows 259-262 and 264-267."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Daily miles in CBD for TNC pickups occurring in Manhattan CBD (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J241*J270","v":188879.46656947286},{"$f":"K241*K270","v":100223.89294937089},289103.35951884376,{"$f":"M241*M270","v":325706.76340178726},null,{"$f":"ROW()","v":275}]
[null,{"$f":"CONCATENATE(\"Row \",O241, \" times demand multiplier due to surcharge in Row \",O270, \".\")","v":"Row 241 times demand multiplier due to surcharge in Row 270."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,"Daily miles in CBD for TNC pickups occurring in main N part of Manhattan taxi zone (60-96 Streets) (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J243*J271","v":61192.709217915093},{"$f":"K243*K271","v":17627.31920214865},78820.02842006374,{"$f":"M243*M271","v":74760.388755524677},null,{"$f":"ROW()","v":277}]
[null,{"$f":"CONCATENATE(\"Row \",O243, \" times demand multiplier due to surcharge in Row \",O271, \".\")","v":"Row 243 times demand multiplier due to surcharge in Row 271."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Daily miles in CBD for TNC pickups occurring in N ext of Manhattan taxi zone (96-110 Streets, W side) (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J245*J272","v":3245.3550417388228},{"$f":"K245*K272","v":1091.5998139739261},4336.9548557127491,{"$f":"M245*M272","v":5180.5011927265023},null,{"$f":"ROW()","v":279}]
[null,{"$f":"CONCATENATE(\"Row \",O245, \" times demand multiplier due to surcharge in Row \",O272, \".\")","v":"Row 245 times demand multiplier due to surcharge in Row 272."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,"Daily miles in CBD for TNC pickups occurring outside Manhattan taxi zone outside of CBD (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J247*J273","v":102782.84727785584},{"$f":"K247*K273","v":60750.316129151404},163533.16340700723,{"$f":"M247*M273","v":201146.93952718005},null,{"$f":"ROW()","v":281}]
[null,{"$f":"CONCATENATE(\"Row \",O247, \" times demand multiplier due to surcharge in Row \",O273, \".\")","v":"Row 247 times demand multiplier due to surcharge in Row 273."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"Daily miles in CBD for all TNC pickups (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"SUM(J275:J281)","v":356100.37810698262},{"$f":"SUM(K275:K281)","v":179693.12809464487},{"$f":"J283+K283","v":535793.50620162743},{"$f":"SUM(M275:M281)","v":606794.5928772185},null,{"$f":"ROW()","v":283}]
[null,"Sum of four prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"Daily miles in CBD for all TNC pickups, including cruising (w/ surcharges)",null,null,null,null,null,null,null,{"$f":"J283/(1-$L$348)","v":593500.63017830439},{"$f":"K283/(1-$L$348)","v":299488.54682440811},892989.1770027125,{"$f":"M283/(1-$L$348)","v":1011324.3214620309},null,{"$f":"ROW()","v":285}]
[null,{"$f":"CONCATENATE(\"Row \",O283, \" divided by complement of with-surcharge cruising percentage in Row \",O348, \".\")","v":"Row 283 divided by complement of with-surcharge cruising percentage in Row 348."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"Daily miles in CBD, after vs. before, factor",null,null,null,null,null,null,null,{"$f":"J285/J251","v":1.0300686689493117},{"$f":"K285/K251","v":0.97408841411199942},{"$f":"L285/L251","v":1.0105906056282612},{"$f":"M285/M251","v":1.0135175914981744},null,{"$f":"ROW()","v":287}]
[null,{"$f":"CONCATENATE(\"Row \",O285, \" divided by Row \",O251, \".\")","v":"Row 285 divided by Row 251."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"Daily miles in CBD, after vs. before, number",null,null,null,null,null,null,null,{"$f":"J285-J251","v":17324.83911800012},{"$f":"K285-K251","v":-7966.6517854927224},{"$f":"L285-L251","v":9358.1873325073393},{"$f":"M285-M251","v":13488.339190525934},null,{"$f":"ROW()","v":289}]
[null,{"$f":"CONCATENATE(\"Row \",O285, \" less Row \",O251, \".\")","v":"Row 285 less Row 251."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Part F. Surcharge-Revenue Estimates",null,null,null,null,null,null,null,"Figures in column apply to weekdays 6am-8pm","Figures in column apply to weekdays 8pm-6am","Figures in column apply to weekdays, 24h","Figures in column apply to weekends, 24h","Figures in column apply to all days, averaged or total",{"$f":"ROW()","v":292}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,"TNC pickups occurring in Manhattan CBD (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J231*J270,-2)","v":123500},{"$f":"ROUND(K231*K270,-2)","v":65500},{"$f":"J296+K296","v":189000},{"$f":"ROUND(M231*M270,-2)","v":212900},null,{"$f":"ROW()","v":296}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O231, \" multiplied by combined demand multiplie in Row \",O270, \".\")","v":"Baseline pickups in Row 231 multiplied by combined demand multiplie in Row 270."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,"TNC pickups occurring in main N part of Manhattan taxi zone (60-96 Streets) (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J233*J271,-2)","v":39700},{"$f":"ROUND(K233*K271,-2)","v":11400},{"$f":"J298+K298","v":51100},{"$f":"ROUND(M233*M271,-2)","v":48500},null,{"$f":"ROW()","v":298}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O237, \" multiplied by combined demand multiplie in Row \",O271, \".\")","v":"Baseline pickups in Row 237 multiplied by combined demand multiplie in Row 271."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,"TNC pickups occurring in N ext of Manhattan taxi zone (96-110 Streets, W side) (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J235*J272,-2)","v":2600},{"$f":"ROUND(K235*K272,-2)","v":900},{"$f":"J300+K300","v":3500},{"$f":"ROUND(M235*M272,-2)","v":4100},null,{"$f":"ROW()","v":300}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O238, \" multiplied by combined demand multiplie in Row \",O272, \".\")","v":"Baseline pickups in Row 238 multiplied by combined demand multiplie in Row 272."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,"TNC pickups occurring outside Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"ROUND(J239*J273,-2)","v":217800},{"$f":"ROUND(K239*K273,-2)","v":128700},{"$f":"J302+K302","v":346500},{"$f":"ROUND(M239*M273,-2)","v":426300},null,{"$f":"ROW()","v":302}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O239, \" multiplied by combined demand multiplie in Row \",O273, \".\")","v":"Baseline pickups in Row 239 multiplied by combined demand multiplie in Row 273."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,"Total TNC pickups (with pricing)",null,null,null,null,null,null,null,{"$f":"SUM(J296:J302)","v":383600},{"$f":"SUM(K296:K302)","v":206500},{"$f":"J304+K304","v":590100},{"$f":"SUM(M296:M302)","v":691800},null,{"$f":"ROW()","v":304}]
[null,"Sum of four prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"Surcharge revenue per TNC pickup occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"J119","v":3.6865070219895433},{"$f":"K119","v":3.1189561307623515},null,{"$f":"M119","v":1.9296148163216391},null,{"$f":"ROW()","v":306}]
[null,{"$f":"CONCATENATE(\"All columns are value from Row \",O119, \", but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row \",'Policy Levers'!O$177, \" and \",'Policy Levers'!$O$178, \" that dictate whether off-peak FHV trips are surcharged.\")","v":"All columns are value from Row 119, but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row 177 and 178 that dictate whether off-peak FHV trips are surcharged."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"Surcharge revenue per TNC pickup occurring in main N part of Manhattan taxi zone (60-96 Streets)",null,null,null,null,null,null,null,{"$f":"J148","v":3.6729457674437218},{"$f":"K148","v":3.1074734015554641},null,{"$f":"M148","v":1.9225122420656668},null,{"$f":"ROW()","v":308}]
[null,{"$f":"CONCATENATE(\"All columns are value from Row \",O148, \", but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row \",'Policy Levers'!O$177, \" and \",'Policy Levers'!$O$178, \" that dictate whether off-peak FHV trips are surcharged.\")","v":"All columns are value from Row 148, but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row 177 and 178 that dictate whether off-peak FHV trips are surcharged."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"Surcharge revenue per TNC pickup occurring in N ext of Manhattan taxi zone (96-110 Streets, W side)",null,null,null,null,null,null,null,{"$f":"J177","v":3.5001414412424126},{"$f":"K177","v":2.9612755263345849},null,{"$f":"M177","v":1.832062778548013},null,{"$f":"ROW()","v":310}]
[null,{"$f":"CONCATENATE(\"All columns are value from Row \",O177, \", but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row \",'Policy Levers'!O$177, \" and \",'Policy Levers'!$O$178, \" that dictate whether off-peak FHV trips are surcharged.\")","v":"All columns are value from Row 177, but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row 177 and 178 that dictate whether off-peak FHV trips are surcharged."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,"Surcharge revenue per TNC pickup occurring outside Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"J206","v":1.1000387232134379},{"$f":"K206","v":0.93068371354679069},null,{"$f":"M206","v":0.57578918961075343},null,{"$f":"ROW()","v":312}]
[null,{"$f":"CONCATENATE(\"All columns are value from Row \",O206, \", but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row \",'Policy Levers'!O$177, \" and \",'Policy Levers'!$O$178, \" that dictate whether off-peak FHV trips are surcharged.\")","v":"All columns are value from Row 206, but Columns K & M factor that value times the result of upstream IF statements from 'Policy Levers' tab, Row 177 and 178 that dictate whether off-peak FHV trips are surcharged."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Daily surcharge revenues for TNC pickups occurring in Manhattan CBD",null,null,null,null,null,null,null,{"$f":"ROUND(J296*J306,-2)","v":455300},{"$f":"ROUND(K296*K306,-2)","v":204300},null,410800,null,{"$f":"ROW()","v":314}]
[null,{"$f":"CONCATENATE(\"Row \",O296, \" times Row \",,O306, \".\")","v":"Row 296 times Row 306."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Daily surcharge revenue for TNC pickups occurring in main N part of Manhattan taxi zone (60-96 Streets)",null,null,null,null,null,null,null,{"$f":"ROUND(J298*J308,-2)","v":145800},35400,null,93200,null,{"$f":"ROW()","v":316}]
[null,{"$f":"CONCATENATE(\"Row \",O298, \" times Row \",,O308, \".\")","v":"Row 298 times Row 308."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,"Daily surcharge revenue for TNC pickups occurring in N ext of Manhattan taxi zone (96-110 Streets, W side)",null,null,null,null,null,null,null,{"$f":"ROUND(J300*J310,-2)","v":9100},2700,null,{"$f":"ROUND(M300*M310,-2)","v":7500},null,{"$f":"ROW()","v":318}]
[null,{"$f":"CONCATENATE(\"Row \",O300, \" times Row \",,O310, \".\")","v":"Row 300 times Row 310."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Daily surcharge revenue for TNC pickups occurring outside Manhattan taxi zone",null,null,null,null,null,null,null,{"$f":"ROUND(J302*J312,-2)","v":239600},119800,null,245500,null,{"$f":"ROW()","v":320}]
[null,{"$f":"CONCATENATE(\"Row \",O302, \" times Row \",,O312, \".\")","v":"Row 302 times Row 312."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Total daily TNC surcharge revenue",null,null,null,null,null,null,null,{"$f":"SUM(J314:J320)","v":849800},{"$f":"SUM(K314:K320)","v":362200},null,{"$f":"SUM(M314:M320)","v":757000},null,{"$f":"ROW()","v":322}]
[null,"Sum of four prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Part G. Other UberLyft Parameters",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,"Number of TNC vehicles operating in Manhattan CBD at any given time, baseline",null,null,null,null,null,null,null,{"$f":"(H418+I418+J418+K418)*24/14*N326","v":8106.5073435585209},{"$f":"(F418+G418+L418)*24/10*N326","v":6430.9577306922611},{"$f":"(J326*14+K326*10)/24","v":7408.3616715309136},{"$f":"L326","v":7408.3616715309136},{"$f":"('Motor Vs'!N118/24)/('Motor Vs'!K204*(1-N342*0.75))","v":7408.3616715309136},{"$f":"ROW()","v":326}]
[null,{"$f":"CONCATENATE(\"Cell N\",O326, \" is calculated by dividing 24h UberLyft VMT from 'Motor Vs' worksheet, Cell N\",'Motor Vs'!O118, \" by estimated 24h-avg travel speeds, also from 'Motor Vs' worksheet, Cell K\",'Motor Vs'!O204,\". However, that speed has been reduced by % of UberLyft idle time, which is calculated from Cell N\",O348, \" except that the share of idle time is reduced by 25% to allow for cruising assumed to be 1/4 of idle time. Other columns in Row \",O326, \" prorate value in Cell N\",O326, \" by greater or lesser 24h duty factors for different time periods given in Row \",O418, \".\")","v":"Cell N326 is calculated by dividing 24h UberLyft VMT from 'Motor Vs' worksheet, Cell N118 by estimated 24h-avg travel speeds, also from 'Motor Vs' worksheet, Cell K204. However, that speed has been reduced by % of UberLyft idle time, which is calculated from Cell N348 except that the share of idle time is reduced by 25% to allow for cruising assumed to be 1/4 of idle time. Other columns in Row 326 prorate value in Cell N326 by greater or lesser 24h duty factors for different time periods given in Row 418."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,null,null,null,null,null,null,null,null,"Weekdays\n6am-8pm","Weekdays\n8pm-6am","Weekdays 24h","Weekends 24h","All days / total",{"$f":"ROW()","v":328}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,"% Change in # TNC vehicles operating in Manhattan CBD at any given time, due to trawling surcharge (if any)",null,null,null,null,null,null,null,{"$f":"-M77*60*(1-K77)*10%","v":0},{"$f":"J331*'Policy Levers'!K178","v":0},null,{"$f":"J331*'Policy Levers'!K178","v":0},null,{"$f":"ROW()","v":331}]
[null,{"$f":"CONCATENATE(\"Estimated as 10% decrease for each additional $1.00/hour surcharge due to trawling, calculated as trawling surcharge in Cell M\",O77, \" times 60 (converting minutes to hours) times % of time trawling given in Cell K\",O77, \".\")","v":"Estimated as 10% decrease for each additional $1.00/hour surcharge due to trawling, calculated as trawling surcharge in Cell M77 times 60 (converting minutes to hours) times % of time trawling given in Cell K77."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Numerical Change in # TNC vehicles operating in Manhattan CBD at any given time, due to trawling surcharge (if any)",null,null,null,null,null,null,null,{"$f":"J331*J326","v":0},{"$f":"K331*K326","v":0},{"$f":"(J334*14+K334*10)/24","v":0},{"$f":"M331*M326","v":0},{"$f":"(L334*weekday_per_yr+UberLyft!M334*wkend_per_yr)/Constants!J7","v":0},{"$f":"ROW()","v":334}]
[null,{"$f":"CONCATENATE(\"Row \",O331, \" times Row \",,O326, \", except that Cols L & N are wghtd average of Cols J, K & M.\")","v":"Row 331 times Row 326, except that Cols L & N are wghtd average of Cols J, K & M."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Number of fares per shift, baseline",null,null,null,null,null,null,null,{"$f":"L336","v":20},{"$f":"L336","v":20},{"$f":"Taxis!L183","v":20},{"$f":"L336","v":20},{"$f":"L336","v":20},{"$f":"ROW()","v":336}]
[null,{"$f":"CONCATENATE(\"Assumed same as for yellow cabs, from 'Taxis' tab, Row \",Taxis!O183, \".\")","v":"Assumed same as for yellow cabs, from 'Taxis' tab, Row 183."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Shifts per day per UberLyft vehicle, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L216/(L326*L336)","v":3.9191097944298536},{"$f":"M216/(M326*M336)","v":4.58835560458696},{"$f":"N216/(M326*N336)","v":4.1076818182862764},{"$f":"ROW()","v":338}]
[null,{"$f":"CONCATENATE(\"UberLyft ridership in Row \",O216, \", divided by product of number of UberLyft vehicles in Row \",O326, \" and number of fares per shift in Row \",O336, \".\")","v":"UberLyft ridership in Row 216, divided by product of number of UberLyft vehicles in Row 326 and number of fares per shift in Row 336."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,"Average trip length, miles",null,null,null,null,null,null,null,{"$f":"L340","v":3},{"$f":"L340","v":3},3,{"$f":"L340","v":3},{"$f":"L340","v":3},{"$f":"ROW()","v":340}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"Percentage of TNC VMT spent cruising, baseline",null,null,null,null,null,null,null,null,null,0.4,null,{"$f":"L342","v":0.4},{"$f":"ROW()","v":342}]
[null,"From Schaller's 40%, from his \"Empty Seats, Full Streets\" report (Dec. 2017), p. 6.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Number of TNC vehicles operating in Manhattan CBD at any given time, with pricing including surcharges",null,null,null,null,null,null,null,{"$f":"J326+J334","v":8106.5073435585209},{"$f":"K326+K334","v":6430.9577306922611},{"$f":"L326+L334","v":7408.3616715309136},{"$f":"M326+M334","v":7408.3616715309136},{"$f":"N326+N334","v":7408.3616715309136},{"$f":"ROW()","v":344}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O326, \" and \",O334, \". Note that figures in Row \",O344, \" don't directly affect other cells; that's because Row \",O334, \" is inputted into the 'Motor Vs' and 'Motor Vs' Weekend' tabs.\")","v":"Sum of Rows 326 and 334. Note that figures in Row 344 don't directly affect other cells; that's because Row 334 is inputted into the 'Motor Vs' and 'Motor Vs' Weekend' tabs."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,"Factor reduction in cruising percentage",null,null,null,null,null,null,null,null,null,{"$f":"0%*(J122-1)","v":0},null,{"$f":"0%*(K122-1)","v":0},{"$f":"ROW()","v":346}]
[null,{"$f":"CONCATENATE(\"Komanoff parameter intended to pivot off increase in CBD peak fares in Row \",O122, \", but set for time being at zero.\")","v":"Komanoff parameter intended to pivot off increase in CBD peak fares in Row 122, but set for time being at zero."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"Percentage of TNC VMT spent cruising, w/ surcharges",null,null,null,null,null,null,null,null,null,{"$f":"MAX(L342-L346,10%)","v":0.4},null,{"$f":"MAX(N342-N346,10%)","v":0.4},{"$f":"ROW()","v":348}]
[null,{"$f":"CONCATENATE(\"Row \",O342, \" less Row \",O346, \", Komanoff estimate, with proviso that cruising percent can't fall below 10%.\")","v":"Row 342 less Row 346, Komanoff estimate, with proviso that cruising percent can't fall below 10%."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Part H. Calculate changes in other modes as result of changes in terms of UberLyft service",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,"Change in TNC pickups in Manhattan CBD (with pricing)",null,null,null,null,null,null,null,{"$f":"J296-J231","v":3026.1139665471128},{"$f":"K296-K231","v":-2766.3618161916093},null,{"$f":"M296-M231","v":1670.2484572064131},null,{"$f":"ROW()","v":352}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O231, \" subtracted from with-pricing pickups in Row \",O296, \".\")","v":"Baseline pickups in Row 231 subtracted from with-pricing pickups in Row 296."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,"Change in TNC pickups occurring in non-CBD Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"J298-J233","v":1145.9640231280791},{"$f":"K298-K233","v":-384.88198768368602},null,{"$f":"M298-M233","v":584.69144730201515},null,{"$f":"ROW()","v":354}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O237, \" subtracted from with-pricing pickups in Row \",O298, \".\")","v":"Baseline pickups in Row 237 subtracted from with-pricing pickups in Row 298."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"Change in TNC pickups occurring outside Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"J302-J239","v":8339.4301938263525},{"$f":"K302-K239","v":-38.622865238561644},null,{"$f":"M302-M239","v":9669.275313125283},null,{"$f":"ROW()","v":356}]
[null,{"$f":"CONCATENATE(\"Baseline pickups in Row \",O239, \" subtracted from with-pricing pickups in Row \",O302, \".\")","v":"Baseline pickups in Row 239 subtracted from with-pricing pickups in Row 302."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"Change in Total TNC pickups (with pricing)",null,null,null,null,null,null,null,{"$f":"SUM(J352:J356)","v":12511.508183501544},{"$f":"SUM(K352:K356)","v":-3189.8666691138569},null,{"$f":"SUM(M352:M356)","v":11924.215217633711},null,{"$f":"ROW()","v":358}]
[null,"Sum of three prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"Change in persons in TNC pickups in Manhattan CBD (with pricing)",null,null,null,null,null,"Figures in array assume no change in passengers per vehicle resulting from pricing.",null,{"$f":"J352*J$219","v":4236.5595531659574},{"$f":"K352*K$219","v":-3872.9065426682528},null,{"$f":"M352*M$219","v":2505.3726858096197},null,{"$f":"ROW()","v":360}]
[null,{"$f":"CONCATENATE(\"Change in pickups in Row \",O352, \" multiplied by passengers per FHV in Row \",O$219, \".\")","v":"Change in pickups in Row 352 multiplied by passengers per FHV in Row 219."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,"Change in persons in TNC pickups occurring in non-CBD Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"J354*J$219","v":1604.3496323793106},{"$f":"K354*K$219","v":-538.83478275716038},null,{"$f":"M354*M$219","v":877.03717095302272},null,{"$f":"ROW()","v":362}]
[null,{"$f":"CONCATENATE(\"Change in pickups in Row \",O354, \" multiplied by passengers per FHV in Row \",O$219, \".\")","v":"Change in pickups in Row 354 multiplied by passengers per FHV in Row 219."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,"Change in persons in TNC pickups occurring outside Manhattan taxi zone (with pricing)",null,null,null,null,null,null,null,{"$f":"J356*J$219","v":11675.202271356893},{"$f":"K356*K$219","v":-54.072011333986296},null,{"$f":"M356*M$219","v":14503.912969687924},null,{"$f":"ROW()","v":364}]
[null,{"$f":"CONCATENATE(\"Change in pickups in Row \",O356, \" multiplied by passengers per FHV in Row \",O$219, \".\")","v":"Change in pickups in Row 356 multiplied by passengers per FHV in Row 219."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"Change in persons in Total TNC pickups (with pricing)",null,null,null,null,null,null,null,{"$f":"SUM(J360:J364)","v":17516.111456902159},{"$f":"SUM(K360:K364)","v":-4465.8133367594},null,{"$f":"SUM(M360:M364)","v":17886.322826450567},null,{"$f":"ROW()","v":366}]
[null,"Sum of three prior data rows.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,"Estimated mode shares of taxi users' \"second choices\" if cabs deemed too costly",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,{"$f":"CONCATENATE(\"Komanoff assumptions. Same as in corresponding section in 'Taxis' tab, Rows \",Taxis!O661, \"-\",Taxis!O665, \".\")","v":"Komanoff assumptions. Same as in corresponding section in 'Taxis' tab, Rows 661-665."},null,null,null,null,null,null,"Subway",0.45,0.4,null,0.4,null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,"Bus",0.33,0.25,null,0.25,null,{"$f":"ROW()","v":370}]
[null,null,null,null,null,null,null,null,"Private Auto",0.15,0.25,null,0.25,null,{"$f":"ROW()","v":371}]
[null,null,null,null,null,null,null,null,"Bike or Walk",0.05,0.08,null,0.08,null,{"$f":"ROW()","v":372},"These x-products, though interesting, have no bearing on any results."]
[null,null,null,null,null,null,null,null,"No Travel",{"$f":"1-SUM(J369:J372)","v":1.9999999999999907E-2},{"$f":"1-SUM(K369:K372)","v":2.0000000000000018E-2},null,{"$f":"1-SUM(M369:M372)","v":2.0000000000000018E-2},null,{"$f":"ROW()","v":373},"K","L","M","N"]
[null,"Estimated mode changes due to projected changes in UberLyft -- counting only TNC pickups in Manhattan CBD + non-CBD Manhattan taxi zone",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374},"Miles w/i CBD for a typical trip","Miles w/i taxi zone for a typical trip","Shares of CBD miles attributable to each zone","Shares of taxi zone miles attributable to each zone"]
[null,null,null,null,null,null,null,null,"Subway",{"$f":"-ROUND(J369*(J$360+J$362),-1)","v":-2630},1760,null,{"$f":"-ROUND(M369*(M$360+M$362),-1)","v":-1350},null,{"$f":"ROW()","v":375}]
[null,{"$f":"CONCATENATE(\"Each cell is additive inverse of percent in array in Rows \",O369, \"-\",O373, \" multiplied by sum of Rows \",O360, \" and \",O362, \".\")","v":"Each cell is additive inverse of percent in array in Rows 369-373 multiplied by sum of Rows 360 and 362."},null,null,null,null,null,null,"Bus",-1930,1100,null,{"$f":"-ROUND(M370*(M$360+M$362),-1)","v":-850},null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,"Private Auto",-880,1100,null,{"$f":"-ROUND(M371*(M$360+M$362),-1)","v":-850},null,{"$f":"ROW()","v":377},{"$f":"$D395*E395*$G395","v":0.49039799487306801},{"$f":"$D395*F395*$G395","v":0.51924493574795438},{"$f":"P377/P$381","v":0.49839422576520098},0.45489023752212082]
[null,null,null,null,null,null,null,null,"Bike or Walk",-290,350,null,{"$f":"-ROUND(M372*(M$360+M$362),-1)","v":-270},null,{"$f":"ROW()","v":378},{"$f":"$D396*E396*$G396","v":0.12564455786286644},{"$f":"$D396*F396*$G396","v":0.18275572052780573},0.12769326708581399,0.16010515923408772]
[null,null,null,null,null,null,null,null,"No Travel",-120,90,null,{"$f":"-ROUND(M373*(M$360+M$362),-1)","v":-70},null,{"$f":"ROW()","v":379},{"$f":"$D398*E398*$G398","v":0.3371934594352417},{"$f":"$D398*F398*$G398","v":0.39339236934111543},0.34269159928318127,0.34463571237569818]
[null,"Now separate the changes in auto use into work and non-work trips, and convert from persons to autos",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380},{"$f":"$D399*E399*$G399","v":3.0719999999999997E-2},{"$f":"$D399*F399*$G399","v":4.6080000000000003E-2},3.1220907865803785E-2,4.0368890868093379E-2]
[null,"Split of private auto users (\"tolled out\" of UberLyft trips) ",null,null,null,null,null,null,"Work",0.75,0.25,null,0.25,null,{"$f":"ROW()","v":381},{"$f":"SUM(P377:P380)","v":0.98395601217117612},{"$f":"SUM(Q377:Q380)","v":1.1414730256168755},{"$f":"SUM(R377:R380)","v":1},{"$f":"SUM(S377:S380)","v":1.0000000000000002}]
[null,"(Komanoff assumption)",null,null,null,null,null,null,"Non-Work",0.25,0.75,null,0.75,null,{"$f":"ROW()","v":382}]
[null,"Changes in auto travelers (tolled out of UberLyft trips)",null,null,null,null,null,null,"Work",{"$f":"ROUND(J381*J$377,-1)","v":-660},{"$f":"ROUND(K381*K$377,-1)","v":280},null,{"$f":"ROUND(M381*M$377,-1)","v":-210},null,{"$f":"ROW()","v":383}]
[null,{"$f":"CONCATENATE(\"Row \",O377, \" multiplied by respective percents in Rows \",O381, \" and \",O382, \".\")","v":"Row 377 multiplied by respective percents in Rows 381 and 382."},null,null,null,null,null,null,"Non-Work",{"$f":"ROUND(J382*J$377,-1)","v":-220},{"$f":"ROUND(K382*K$377,-1)","v":830},null,{"$f":"ROUND(M382*M$377,-1)","v":-640},null,{"$f":"ROW()","v":384}]
[null,"Changes in auto trips (taking account of car-occupancy rates)",null,null,null,null,null,null,"Work",{"$f":"ROUND(J383/H.I.S.!$G$125,-1)","v":-570},{"$f":"ROUND(K383/H.I.S.!$G$125,-1)","v":240},null,{"$f":"ROUND(M383/H.I.S.!$G$125,-1)","v":-180},null,{"$f":"ROW()","v":385}]
[null,{"$f":"CONCATENATE(\"Rows \",O383, \" and \",O384, \" divided by respective vehicle occupancy rates in 'H.I.S.' tab, Row \",H.I.S.!Z125,\".\")","v":"Rows 383 and 384 divided by respective vehicle occupancy rates in 'H.I.S.' tab, Row 125."},null,null,null,null,null,null,"Non-Work",{"$f":"ROUND(J384/H.I.S.!$H$125,-1)","v":-150},{"$f":"ROUND(K384/H.I.S.!$H$125,-1)","v":550},null,{"$f":"ROUND(M384/H.I.S.!$H$125,-1)","v":-430},null,{"$f":"ROW()","v":386}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387},"1H 2018 data, all hours of the day, pickups in NYC, weekdays only, Uber + Lyft + Via."]
[null,"Part I. Geographical Distribution of TNC Fare VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388},"Matrix below was calculated (i.e., raw data converted to %'s) by CK, from Google spreadsheet compiled by Todd W. Schneider in October 2018. Link below:"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389},"https://docs.google.com/spreadsheets/d/1mTAN76Z6Hr1EYsz9ITlVkOZVwCB4G4IUB4FjS3SKXww/edit#gid=772569410"]
[null,null,null,"Trips","Miles","Miles","Distances","Trips","Trips","Trips","Trips","Trips",null,null,{"$f":"ROW()","v":390},"Unknowns (roughly 10,000 out of 70.6 million datapoints, i.e., 1 in 7,000) were removed so percentages calculated with actual data would sum to 100%."]
[null,null,"C","D","E","F","G","H","I","J","K","L",null,null,{"$f":"ROW()","v":391}]
[null,null,"Zone\nof Trip\nOrigin","% of fare trips that begin in zone shown","% of fare trips' miles that are w/i CBD","% of fare trips' miles that are S of 96/110 St","Average\ntrip\ndistance ","% of fare trips with some CBD VMT","% of fare trips with zero CBD VMT","% of fare trips entirely w/i CBD ","% of fare trips with some taxi zone VMT (110/96)","% of fare trips entirely w/i taxi zone (110/96)",null,null,{"$f":"ROW()","v":392},null,null,"dropoff_geo",null,null,"manhattan_60_96e_110w","manhattan_ below_60","manhattan_ other","queens_ex_ airports"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393},null,null,"airports","bronx","brooklyn",null,null,null,null,"staten_island","total"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394},"pickup_geo","airports",2.5371369961350754E-2,2.7596116210939155E-2,0.21495544577103357,9.5814890267878872E-2,0.42111300570052396,4.5607580516441606E-2,0.16708923101948051,2.4523605523515722E-3,{"$f":"SUM(R394:Y394)","v":1}]
[null,null,"CBD",{"$f":"J22","v":0.32052156527651504},0.85,0.9,{"$f":"Taxis!G256","v":1.8},1,{"$f":"1-H395","v":0},{"$f":"V398","v":0.62415282968700803},{"$f":"H395","v":1},{"$f":"V397+U397","v":0.73727580971189965},null,null,{"$f":"ROW()","v":395},null,"bronx",1.1730458113201944E-2,0.77574455763382855,9.2057814519754585E-3,2.1977505800680249E-2,3.3151419838940113E-2,0.12671946436004175,2.1334442077823135E-2,1.3637072350881265E-4,1]
[null,null,"60th-96th Streets",{"$f":"J23","v":8.1587375235627563E-2},0.55000000000000004,0.8,{"$f":"Taxis!G257","v":2.8},{"$f":"T397+V397+0.25*R397","v":0.46952961374417318},{"$f":"1-H396","v":0.53047038625582688},0,{"$f":"K395","v":1},{"$f":"V398+$U$403*U398","v":0.73455765431171205},null,null,{"$f":"ROW()","v":396},null,"brooklyn",3.4743957636080972E-2,3.6974742679091329E-3,0.7820261407292004,1.1589236637140734E-2,0.10173105039615599,5.4902475141397683E-3,5.8502239933251148E-2,2.2196528861218928E-3,1]
[null,null,"96th-110th Streets, W side only",{"$f":"J24","v":5.9019604291211522E-3},0.45,0.75,{"$f":"Taxis!G258","v":2.8},0.4,{"$f":"1-H397","v":0.6},0,{"$f":"K396","v":1},0.4,null,null,{"$f":"ROW()","v":397},null,"manhattan_60_96e_110w",4.9122645208132039E-2,3.0518036504418686E-2,3.5020060321830804E-2,0.31504691759159037,0.42222889212030934,0.11170052444390861,3.5868085224928847E-2,4.9483858488126467E-4,1]
[null,null,"Outer boroughs",{"$f":"SUM(J25:J29)-D399","v":0.56198909905873629},0.12,0.14000000000000001,{"$f":"Taxis!G259","v":5},0.2,{"$f":"1-H398","v":0.8},0,0.22,0,null,null,{"$f":"ROW()","v":398},null,"manhattan_below_60",6.3929339131263724E-2,1.335793200128552E-2,0.10465157221266264,0.11839141451360786,0.62415282968700803,3.6151992515455554E-2,3.8010949255197081E-2,1.3539706835196206E-3,1]
[null,null,"Airports (JFK & LAG)",0.03,0.08,0.12,{"$f":"Taxis!G260","v":12.8},0.15,{"$f":"1-H399","v":0.85},0,0.16,0,null,null,{"$f":"ROW()","v":399},null,"manhattan_other",3.7120413023125326E-2,0.22917091874384579,2.2181273334916009E-2,0.15729780064277532,0.15832334489393754,0.36458564858672937,3.1035264846487505E-2,2.8533592818314179E-4,1]
[null,null,"Sum or weighted average",{"$f":"SUM(D395:D399)","v":1},{"$f":"SUMPRODUCT($D$395:$D$399,E395:E399,$G$395:$G$399)/$G$400","v":0.24686962488319175},{"$f":"SUMPRODUCT($D$395:$D$399,F395:F399,$G$395:$G$399)/$G$400","v":0.28732792886849606},{"$f":"SUMPRODUCT($D395:$D399,G395:G399)","v":4.0158544526527056},0.47808785804069592,0.52191214195930413,0.20005444194304592,0.53644850273418576,0.29860421171554868,null,null,{"$f":"ROW()","v":400},null,"queens_ex_airports",5.9982882817843093E-2,1.5812396565321119E-2,0.10891961702922652,2.0292513134103147E-2,6.256060039095071E-2,1.3840338463895476E-2,0.7182117229000452,3.7992869861469861E-4,1]
[null,{"$f":"CONCATENATE(\"Data in Col. D (except airpoerts) are copied from array in Rows \",O17, \"-\",O24, \". Data in other columns are drawn or adapted from similar array in 'Taxis' worksheet, Rows \",Taxis!O249, \"-\",Taxis!O267, \".\")","v":"Data in Col. D (except airpoerts) are copied from array in Rows 17-24. Data in other columns are drawn or adapted from similar array in 'Taxis' worksheet, Rows 249-267."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401},null,"staten_island",2.7315237333584232E-2,1.3021592887048972E-3,8.4947076257232912E-2,3.848144140753634E-3,2.7209860281319095E-2,1.571247118596227E-3,6.0610622383214944E-3,0.84774521334148756,1]
[null,{"$f":"CONCATENATE(\"Figure in Cell H\",O400, \", which is \",ROUND(H400*100,1), \"%, should approx'ly match figure in Cell K\",O30, \", which is \",ROUND(K30*100,1), \"%.\")","v":"Figure in Cell H400, which is 47.8%, should approx'ly match figure in Cell K30, which is 48.2%."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402},null,"total",4.6384002448594044E-2,9.9209331606206305E-2,0.26745363984872977,8.6734162059625197E-2,0.29781773508009202,5.9865593593583739E-2,0.13472440259974769,7.8111327634212526E-3,1]
[null,"Cells marked in pale green were estimated from array at right (pickup/dropoff)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403},null,"Komanoff adj'ment: manhattan 60-96 % of manh 60-96e/110w:",null,null,null,{"$f":"D396/(D396+D397)","v":0.9325408018671334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404},null,{"$f":"CONCATENATE(\"Source is algebra on Cells D\",$O$396, \" and D\",$O$397, \".\")","v":"Source is algebra on Cells D396 and D397."}]
[null,"Part J. 24-hr Weekday and Weekend Distribution of UberLyft Fare Rides ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,null,null,null,"Temporal distribution of UberLyft pickups in CBD for all weekdays in first six months of 2018",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407},"Temporal distribution of UberLyft pickups in CBD for all weekends in first six months of 2018",null,null,null,null,null,null,null,null,"Data in this section are used solely to distribute taxi VMT on a 24-hour basis. Data on absolute level of taxi usage is drawn from other parts of this worksheet tab."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,{"$f":"CONCATENATE(\"Source is same noted in Rows \",$O$41, \"-\",$O$44, \".\")","v":"Source is same noted in Rows 41-44."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409},null,{"$f":"CONCATENATE(\"Source is same noted in Rows \",$O$41, \"-\",$O$44, \". Weekday holidays were included in weekday distribution and thus omitted here.\")","v":"Source is same noted in Rows 41-44. Weekday holidays were included in weekday distribution and thus omitted here."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,{"$f":"CONCATENATE(\"% of time cruising (Row \",O420, \") is est'd via a formula that takes into account the period's fare trips relative to 24-hr avg (Row \",O419, \"). The lower the fare trips ratio, the higher the cruising %. The formula uses square root to attenuate the proportionality.\")","v":"% of time cruising (Row 420) is est'd via a formula that takes into account the period's fare trips relative to 24-hr avg (Row 419). The lower the fare trips ratio, the higher the cruising %. The formula uses square root to attenuate the proportionality."},null,null,null,"Graveyard","A.M.\nPre-peak","A.M. Peak","A.M.\nPost-peak","Midday Peak","P.M. Peak","P.M.\nPost-peak","Totals",null,{"$f":"ROW()","v":411},null,"Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","Totals"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,null,null,null,null,"11pm-5am","5am-6am","6am-9am","9am-10am","10am-2pm","2pm-8pm ","8pm-11pm",null,null,{"$f":"ROW()","v":413},null,"Midnight-10am","10am-Noon","Noon-5pm","5pm-8pm","8pm-10pm","10pm-Midnight"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,null,null,"Fare trips (boardings) in period",{"$f":"SUM(R102:R106)+R125","v":3506206.3210873548},{"$f":"R107","v":270994.62509447441},{"$f":"SUM(R108:R110)","v":2588729.9946992998},{"$f":"R111","v":1165440.2376970537},{"$f":"SUM(R112:R115)","v":3580719.5332064554},{"$f":"SUM(R116:R121)","v":8326715.4187460672},{"$f":"SUM(R122:R124)","v":5097426.0899230801},{"$f":"SUM(F415:L415)","v":24536232.220453788},null,{"$f":"ROW()","v":415},null,{"$f":"SUM(R131:R140)","v":3120891.4787851963},{"$f":"SUM(R141:R142)","v":813970.400905321},{"$f":"SUM(R143:R147)","v":2536199.9154121275},{"$f":"SUM(R148:R150)","v":1887876.9138535724},{"$f":"SUM(R151:R152)","v":1214688.3251215825},{"$f":"SUM(R153:R154)","v":1199090.2946046721},{"$f":"SUM(Q415:V415)","v":10772717.328682473}]
[null,null,null,null,"Hours in period",6,1,3,1,4,6,3,{"$f":"SUM(F416:L416)","v":24},null,{"$f":"ROW()","v":416},null,10,2,5,3,2,2,{"$f":"SUM(Q416:V416)","v":24}]
[null,"VMT multiple of 1 would indicate zero cruising; a multiple of 1.5 indicates 0.5 cruising miles per 1 fare miles, i.e., a 33% cruising rate.",null,null,"Fare trips (boardings) per hour",{"$f":"F415/F416","v":584367.7201812258},270994.62509447441,862909.99823309993,1165440.2376970537,895179.88330161385,1387785.9031243445,1699142.02997436,1022343.0091855745,null,{"$f":"ROW()","v":417},null,{"$f":"Q415/Q416","v":312089.14787851961},406985.2004526605,507239.98308242549,629292.30461785744,607344.16256079124,599545.14730233606,448863.22202843637]
[null,null,null,null,"Fare trips, % of total",{"$f":"F415/$M$415","v":0.14289913339524585},1.1044671515155006E-2,0.10550641889268124,4.7498745008026311E-2,0.14593599787588868,0.33936406143909847,0.20775097187390434,1,null,{"$f":"ROW()","v":418},null,{"$f":"Q415/$W$415","v":0.28970327388761885},7.5558503585545334E-2,0.23542805756719046,0.17524612001347889,0.11275598236365694,0.11130806258250939,1]
[null,null,null,null,"Fare trips per hr, vs. 24-h average",{"$f":"F417/$M$417","v":0.57159653358098339},0.26507211636372013,0.84405135114144991,1.1399698801926315,0.87561598725533207,1.3574562457563939,1.6620077749912348,1,null,{"$f":"ROW()","v":419},null,{"$f":"Q417/$W$417","v":0.6952878573302852},0.906702043026544,1.1300546763225141,1.4019689601078311,1.3530717883638834,1.3356967509901128,1]
[null,null,"These rows were copied from 'Taxis' tab and are not (yet) being used for UberLyft.",null,"% of time cruising",{"$f":"1-$F$426*F419^0.5","v":0.54637597937371751},0.69108907126658781,0.44876639578947841,0.35938376786929027,0.43855387131807599,0.30094045427281246,0.22648671698745571,{"$f":"SUMPRODUCT(F418:L418,F420:L420)","v":0.3633095262466669},"These rows were copied from 'Taxis' tab and are not (yet) being used for UberLyft.",{"$f":"ROW()","v":420},"These rows were copied from 'Taxis' tab and are not (yet) being used for UberLyft.",{"$f":"1-$F$426*Q419^0.5","v":0.49969646349550689},0.42867458004255066,0.36217582087529399,0.28957137892760876,0.30207031599809564,0.30656591491588725,{"$f":"SUMPRODUCT(Q418:V418,Q420:V420)","v":0.38134981511476751}]
[null,null,null,null,"VMT multiple, w/ cruising",{"$f":"1/(1-F420)","v":2.2044687991155754},3.2371790926924198,1.81411291394726,1.5609969742320899,1.7811147836171648,1.4304933050585313,1.2928026214435191,1.5706218974895805,null,{"$f":"ROW()","v":421},null,{"$f":"1/(1-Q420)","v":1.998786590610117},1.7503159584155683,1.5678301838169766,1.4076009472851772,1.4328090965640479,1.442098133781095,1.6164223731469711]
[null,null,null,null,"X-product row (temp.)",{"$f":"F418*F421","v":0.31501668099047403},3.5753579714515295E-2,0.19140055701754222,7.4145397237350655E-2,0.25992876327866848,0.48545801786610249,0.26858100104602234,{"$f":"SUM(F422:L422)","v":1.6302839971506755},null,{"$f":"ROW()","v":422},null,{"$f":"Q418*Q421","v":0.57905501910242263},0.13225125461977993,0.36911121477124198,0.24667660453902474,0.16155779722266303,0.16051714932502611,{"$f":"SUM(Q422:V422)","v":1.6491690395801584}]
[null,null,null,null,"% of 24-h taxi VMT",{"$f":"F422/$M$422","v":0.19322810107996127},2.1930890431975974E-2,0.11740319929046843,4.5480049713386178E-2,0.15943771988988317,0.29777512305497722,0.16474491653934778,1,null,{"$f":"ROW()","v":423},null,{"$f":"Q422/$W$422","v":0.35111926382624614},8.0192661543930122E-2,0.22381648327888173,0.14957630092414487,9.7963151954266636E-2,9.7332138472530499E-2,1]
[null,null,null,null,"% of 24-h taxi VMT, avg per hr",{"$f":"F423/F416","v":3.2204683513326879E-2},2.1930890431975974E-2,3.9134399763489473E-2,4.5480049713386178E-2,3.9859429972470793E-2,4.9629187175829537E-2,5.4914972179782591E-2,4.1666666666666664E-2,null,{"$f":"ROW()","v":424},null,{"$f":"Q423/Q416","v":3.5111926382624614E-2},4.0096330771965061E-2,4.4763296655776344E-2,4.9858766974714953E-2,4.8981575977133318E-2,4.866606923626525E-2,4.1666666666666664E-2]
[null,null,null,null,"Taxi VMT in period, vs. norm",{"$f":"F424/$M$424","v":0.77291240431984509},0.52634137036742346,0.93922559432374741,1.0915211931212683,0.95662631933929909,1.1911004922199089,1.3179593323147822,1,null,{"$f":"ROW()","v":425},null,{"$f":"Q424/$W$424","v":0.84268623318299074},0.96231193852716146,1.0743191197386324,1.1966104073931589,1.1755578234511996,1.1679856616703661,1]
[null,null,null,null,null,0.6,null,null,null,null,null,"6am-6pm:",{"$f":"SUM(H415:J415)+0.5*K415","v":11498247.474975843},"Array to left estimates % of yearly taxi trips falling w/i M-F 6am-6pm charged under BB c.p. plan",{"$f":"ROW()","v":426}]
[null,"Fair/Share obtained medallion taxi \"boardings\" (recorded with GPS data collected by all yellow cabs) on an hourly basis for March 2009 — ostensibly, a representative month for NYC taxi use — from the Taxi & Limousine Commission. We averaged data for the f",null,null,null,{"$f":"CONCATENATE(\"This constant is used in formula that converts Row \",O419, \" values into Row \",O420, \" values. Its value was chosen to cause Cell M\",O420, \" to be between 35% and 39% -- the approximate % of taxi miles spent cruising.\")","v":"This constant is used in formula that converts Row 419 values into Row 420 values. Its value was chosen to cause Cell M420 to be between 35% and 39% -- the approximate % of taxi miles spent cruising."},null,null,"6pm-12pm","Other",null,"24h:",{"$f":"M415","v":24536232.220453788},null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,null,"Sum",173531.8,{"$f":"M415-I428","v":24362700.420453787},null,"% subj to BB surchrg:",{"$f":"M426/M427","v":0.46862319249614548},null,{"$f":"ROW()","v":428}]
[null,null,null,null,null,null,null,"Hours",6,18,null,null,null,null,{"$f":"ROW()","v":429}]
[null,null,null,null,null,null,null,"Per-hour",{"$f":"I428/I429","v":28921.966666666664},{"$f":"J428/J429","v":1353483.3566918771},null,"same, 365d:",{"$f":"(M428*M415*wkday_per_yr)/(M415*wkday_per_yr+W415*wkend_per_yr)","v":0.38988103154835418},null,{"$f":"ROW()","v":430}]
[null,null,null,null,null,null,null,"Ratio",{"$f":"I430/J430","v":2.1368542526711543E-2},null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,null,null,null,null,null,null,"vs. Average",{"$f":"I430/$M$417","v":2.8289885495188811E-2},{"$f":"J430/$M$417","v":1.3239033715016038},null,null,null,null,{"$f":"ROW()","v":432}]
[null,"Share of 24h weekday taxi rides occurring in 6am-8pm period",null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(H415:K415)/M415","v":0.63830522321569472},null,{"$f":"ROW()","v":433}]
[null,{"$f":"CONCATENATE(\"Sum of Columns H through K in Row \",O415, \", divided by total weekday boardings in Cell M \",O415, \".\")","v":"Sum of Columns H through K in Row 415, divided by total weekday boardings in Cell M 415."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Annual taxi rides occurring in 6am-8pm period, weekdays (millions)",null,null,null,null,null,null,null,null,null,null,{"$f":"M433*L216*weekday_per_yr/1000000","v":92.663352625543382},null,{"$f":"ROW()","v":435}]
[null,{"$f":"CONCATENATE(\"Product of 6am-8pm share of weekday rides from Row \",O433, \", total weekday taxi rides in Row \",O231, \", and number of weekdays in year from 'Constants' tab.\")","v":"Product of 6am-8pm share of weekday rides from Row 433, total weekday taxi rides in Row 231, and number of weekdays in year from 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"Average number of UberLyft rides on weekday in first six months of 2017 (includes only rides originating in CBD; count includes holidays falling on weekday)",null,null,null,null,null,null,null,null,null,null,{"$f":"M415/Constants!J33","v":187299.48259888389},null,{"$f":"ROW()","v":437}]
[null,"Average number of UberLyft rides on weekend day in first six months of 2017 (includes only rides originating in CBD; count excludes holidays falling on weekday)",null,null,null,null,null,null,null,null,null,null,{"$f":"W415/Constants!J34","v":215454.34657364947},null,{"$f":"ROW()","v":438}]
[null,{"$f":"CONCATENATE(\"Respective figures in Row \",O415, \" divided by number of weekdays and weekend days in first half of 2017 given in 'Constants' tab.\")","v":"Respective figures in Row 415 divided by number of weekdays and weekend days in first half of 2017 given in 'Constants' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,null,null,null,null,null,null,null,null,null,null,"Weekdays",null,"Weekends",{"$f":"ROW()","v":440}]
[null,"Percentage of TNC VMT in CBD spent with fares (passengers)",null,null,null,null,null,null,null,null,null,{"$f":"1-L342","v":0.6},null,{"$f":"L441","v":0.6},{"$f":"ROW()","v":441}]
[null,{"$f":"CONCATENATE(\"Complement of percentage in Row \",O342, \".\")","v":"Complement of percentage in Row 342."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Multiplier to fare miles to include cruising miles and therefore calculate total TNC miles",null,null,null,null,null,null,null,null,null,{"$f":"1/L441","v":1.6666666666666667},null,{"$f":"1/N441","v":1.6666666666666667},{"$f":"ROW()","v":443}]
[null,{"$f":"CONCATENATE(\"Reciprocal of percentage in Row \",O441, \".\")","v":"Reciprocal of percentage in Row 441."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Estimated % of all TNC miles that occur w/i CBD",null,null,null,null,null,null,null,null,null,{"$f":"E400","v":0.24686962488319175},null,{"$f":"L445","v":0.24686962488319175},{"$f":"ROW()","v":445}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$390, \"-\",$O$400, \"), above, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 390-400), above, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446}]
[null,"Estimated % of all TNC miles that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"F400","v":0.28732792886849606},null,{"$f":"L447","v":0.28732792886849606},{"$f":"ROW()","v":447}]
[null,{"$f":"CONCATENATE(\"Calculated from matrix in Part D (Rows \",$O$390, \"-\",$O$400, \"), above, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips.\")","v":"Calculated from matrix in Part D (Rows 390-400), above, using Excel's Sumproduct formula to weight the 5 different geographical categories of trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"Average TNC speed within CBD, as ratio to average TNC speed outside CBD",null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!K205/'Motor Vs'!K221","v":0.37994631122759359},null,{"$f":"'Motor Vs Weekends'!K205/'Motor Vs Weekends'!K221","v":0.3400059611188993},{"$f":"ROW()","v":449}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' (or 'Motor Vs Weeends') tabs, Rows \",'Motor Vs'!O205, \" & \",'Motor Vs'!O221, \". Values are pre-pricing and are 24h (more consistent w/ TNC use cycles than 8am-6pm only).\")","v":"From 'Motor Vs' (or 'Motor Vs Weeends') tabs, Rows 205 & 221. Values are pre-pricing and are 24h (more consistent w/ TNC use cycles than 8am-6pm only)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null,"Estimated % of TNC time charges that occur w/i CBD",null,null,null,null,null,null,null,null,null,{"$f":"(L445*1/L$449)/((L445*1/L$449)+(1-L445))","v":0.46315374995278269},null,{"$f":"(N445*1/N$449)/((N445*1/N$449)+(1-N445))","v":0.49085455456430277},{"$f":"ROW()","v":451}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O445, \" and \",O$449, \", based on premise that wait-time incidence is inversely proportional to average travel speed.\")","v":"Algebra on Rows 445 and 449, based on premise that wait-time incidence is inversely proportional to average travel speed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"Unadjusted estimated % of TNC wait-time charges that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"(L447*1/L$449)/((L447*1/L$449)+(1-L447))","v":0.51482767825343267},null,{"$f":"(N447*1/N$449)/((N447*1/N$449)+(1-N447))","v":0.54249595805581818},{"$f":"ROW()","v":453}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O447, \" and \",O$449, \", based on same premise on wait-time incidence in Row \",O452, \", and on addit'l premise that 60th-96th Street speeds match CBD's.\")","v":"Algebra on Rows 447 and 449, based on same premise on wait-time incidence in Row 452, and on addit'l premise that 60th-96th Street speeds match CBD's."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Adjusted % of TNC wait-time charges that occur south of 96th Street in Manhattan",null,null,null,null,null,null,null,null,null,{"$f":"98%*L453","v":0.50453112468836403},null,{"$f":"98%*N453","v":0.53164603889470186},{"$f":"ROW()","v":455}]
[null,{"$f":"CONCATENATE(\"Row \",O453, \" figures reduced by 2 percent to correct for slight upward bias in second premise in Row \",O454, \".\")","v":"Row 453 figures reduced by 2 percent to correct for slight upward bias in second premise in Row 454."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":456}]
[null,"Estimated total miles of different TNC fare trips (excludes cruising)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457}]
[null,"Entirely w/i CBD",null,null,null,{"$f":"CONCATENATE(\"See Row \",O446, \" note.\")","v":"See Row 446 note."},null,null,null,null,null,{"$f":"SUMPRODUCT(G395:G399,J395:J399,D395:D399)/J400","v":1.8},null,{"$f":"L458","v":1.8},{"$f":"ROW()","v":458}]
[null,"Entirely w/o CBD",null,null,null,{"$f":"CONCATENATE(\"See Row \",O446, \" note.\")","v":"See Row 446 note."},null,null,null,null,null,{"$f":"SUMPRODUCT(G395:G399,I395:I399,D395:D399)/I400","v":5.1837361010090932},null,5.1837361010090932,{"$f":"ROW()","v":459}]
[null,"Origin or destination in CBD but not both",null,null,null,{"$f":"CONCATENATE(\"Calculated algebraically from Rows \",O458,\",\", O459,\", \",O400, \" and \",O340, \".\")","v":"Calculated algebraically from Rows 458,459, 400 and 340."},null,null,null,null,null,{"$f":"(L340-J400*L458-I400*L459)/(1-J400-I400)","v":-0.23577312485304733},null,-0.23577312485304733,{"$f":"ROW()","v":460}]
[null,"Aggregate TNC fare-miles (with paying passenger), baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L216*$G400","v":2331941.0445323545},null,{"$f":"N216*$G400","v":2444144.8013411881},{"$f":"ROW()","v":461}]
[null,{"$f":"CONCATENATE(\"Product of daily fare trips in Row \",O231,\" and average length of fare trips in Row \",O400, \".\")","v":"Product of daily fare trips in Row 231 and average length of fare trips in Row 400."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":462}]
[null,"Aggregate TNC miles spent cruising, baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L342/L441*L461","v":1554627.3630215698},null,{"$f":"N342/N441*N461","v":1629429.8675607922},{"$f":"ROW()","v":463}]
[null,{"$f":"CONCATENATE(\"Product of ratio of TNC VMT spent cruising in Row \",O342,\" to TNC fare VMT in Row \",O441, \", and total TNC VMT with fares in Row \",O461, \".\")","v":"Product of ratio of TNC VMT spent cruising in Row 342 to TNC fare VMT in Row 441, and total TNC VMT with fares in Row 461."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"Aggregate TNC miles (cruising plus paying passenger), baseline (for typical day)",null,null,null,null,null,null,null,null,null,{"$f":"L461+L463","v":3886568.4075539242},null,{"$f":"N461+N463","v":4073574.6689019804},{"$f":"ROW()","v":465}]
[null,{"$f":"CONCATENATE(\"Sum of baseline fare miles in Row \",O461, \" and baseline cruising miles in Row \",O463, \".\")","v":"Sum of baseline fare miles in Row 461 and baseline cruising miles in Row 463."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,"% of TNC fares that breach cordon zone (inward direction), baseline",null,null,null,null,null,null,null,null,null,{"$f":"1/4*(H400-J400)","v":6.9508354024412494E-2},null,{"$f":"L467","v":6.9508354024412494E-2},{"$f":"ROW()","v":467}]
[null,{"$f":"CONCATENATE(\"Calculated as one-quarter of difference between % of trips that relate to CBD (Cell H\",O400, \", above) and % of trips solely within CBD (Cell J\",O400, \").\")","v":"Calculated as one-quarter of difference between % of trips that relate to CBD (Cell H400, above) and % of trips solely within CBD (Cell J400)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":468}]
[null,"Number of times a day that TNC's breach cordon zone (inward direction) with a fare, baseline",null,null,null,null,null,null,null,null,null,{"$f":"L467*L216","v":40362.365120166069},null,{"$f":"N467*N216","v":42304.442091104531},{"$f":"ROW()","v":469}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O467, \" and \",O231,\" (daily avg ridership).\")","v":"Product of Rows 467 and 231 (daily avg ridership)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,{"$f":"CONCATENATE(\"% of TNC shifts that begin by breaching cordon zone inward w/o fare (so not counted in Row \",O469, \"), baseline.\")","v":"% of TNC shifts that begin by breaching cordon zone inward w/o fare (so not counted in Row 469), baseline."},null,null,null,null,null,null,null,null,null,0.5,null,{"$f":"L471","v":0.5},{"$f":"ROW()","v":471}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,{"$f":"CONCATENATE(\"No. of TNCs that breach cordon zone inward at shift start w/o fare (so not counted in Row \",O469, \"), baseline.\")","v":"No. of TNCs that breach cordon zone inward at shift start w/o fare (so not counted in Row 469), baseline."},null,null,null,null,null,null,null,null,null,{"$f":"$L326*L338*L471","v":14517.091393787763},null,{"$f":"$L326*N338*N471","v":15215.59627071823},{"$f":"ROW()","v":473}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O326, \" (number of medallion taxis), \",O338, \" (adj'd shifts per cab per day) and \",O471, \".\")","v":"Product of Rows 326 (number of medallion taxis), 338 (adj'd shifts per cab per day) and 471."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,"Total number of TNC trips into charging zone, per day, baseline; includes fare trips and non-fare trips alike.",null,null,null,null,null,null,null,null,null,{"$f":"L469+L473","v":54879.456513953832},null,{"$f":"N469+N473","v":57520.038361822764},{"$f":"ROW()","v":475}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O469, \" and \",O473, \".\")","v":"Sum of Rows 469 and 473."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":477}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,"Part K. New data from late Dec. 2017, to be firmed up and sourced asap",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":480}]
[null,"TNC Trips in Manhattan CBD on a typical weekday in 2017 (figure presumably denotes TNC trips that related to CBD, not necessarily for their entire duration)",null,null,null,null,null,null,null,null,null,202262,249767,null,{"$f":"ROW()","v":481}]
[null,"From Bruce Schaller report, Dec. 2017, \"“Empty Seats, Full Streets: Fixing Manhattan’s Traffic Problem” <http://schallerconsult.com/rideservices/emptyseats.pdf>, Figs 1 & 2.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,"Total TNC mileage in Manhattan CBD on typical weekday in 2017",null,null,null,null,null,null,null,null,null,802135,695545,null,{"$f":"ROW()","v":483}]
[null,{"$f":"CONCATENATE(\"Same as for Row \",O481, \".\")","v":"Same as for Row 481."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,"Average length, TNC trip in Manhattan CBD, weekdays in 2017, miles (includes cruising)",null,null,null,null,null,null,null,null,null,{"$f":"L483/L481","v":3.965821558177018},{"$f":"M483/M481","v":2.7847754106827565},null,{"$f":"ROW()","v":485}]
[null,{"$f":"CONCATENATE(\"Row \",O483, \" divided by Row \",O481, \".\")","v":"Row 483 divided by Row 481."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Average TNC utilization rate in 2017",null,null,null,null,null,null,null,null,null,0.6,0.65,null,{"$f":"ROW()","v":487}]
[null,"Schaller report, p. 6.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Average length, TNC trip in Manhattan CBD, weekdays in 2017, miles (excludes cruising)",null,null,null,null,null,null,null,null,null,{"$f":"L487*L485","v":2.3794929349062106},{"$f":"M487*M485","v":1.8101040169437919},null,{"$f":"ROW()","v":489}]
[null,{"$f":"CONCATENATE(\"Row \",O487, \" times Row \",O485, \".\")","v":"Row 487 times Row 485."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":490}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":492}]
[null,"Subsection: Prelim calc's for possible revenue-neutral time-differentiated pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":493}]
[null,null,null,null,null,"11pm-5am","5am-6am","6am-9am","9am-10am","10am-2pm","2pm-8pm ","8pm-11pm","24h",{"$f":"CONCATENATE(\"Col. M sums x-prods of Row \",O415, \" and own row. Col. N ratios Cells M\",O499, \"/\",O500, \" to Cell M\",O415,\".\")","v":"Col. M sums x-prods of Row 415 and own row. Col. N ratios Cells M499/500 to Cell M415."},{"$f":"ROW()","v":494}]
[null,null,null,null,"Average mph for period",{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},{"$f":"'Motor Vs'!K205","v":7.9566975814690171},null,{"$f":"ROW()","v":495}]
[null,null,null,null,{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O201, \".\")","v":"From 'Motor Vs' worksheet, Row 201."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496}]
[null,null,null,null,"Average mph for period, ratio to 24-h average",{"$f":"F495/$M$495","v":2.5477759717890929},2.3854542654287174,0.90923728850855323,0.9078552707787203,1.1594469950562198,0.74182992053576513,1.073325685278242,1,null,{"$f":"ROW()","v":497}]
[null,null,null,null,{"$f":"CONCATENATE(\"Ratio of respective From 'Motor Vs' worksheet, Row \",'Motor Vs'!O203, \".\")","v":"Ratio of respective From 'Motor Vs' worksheet, Row 203."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":498}]
[null,null,null,null,"One possible fare ratio for period (vs. mean)",0.5,0.5,1.1499999999999999,1.1499999999999999,1,1.1499999999999999,1,{"$f":"SUMPRODUCT($F$415:$L$415,F499:L499)","v":24459764.595034231},{"$f":"M499/$M$415","v":0.99688348134577021},{"$f":"ROW()","v":499}]
[null,null,null,null,"Another possible fare ratio for period (vs. mean)",0.5,0.5,1.075,1.075,1.075,1.075,1.075,{"$f":"SUMPRODUCT($F$415:$L$415,F500:L500)","v":24204559.092933267},{"$f":"M500/$M$415","v":0.98648231217651938},{"$f":"ROW()","v":500}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":501}]
[null,null,null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays or to all 7 days",null,"Figures in column apply to weekends and holidays",{"$f":"ROW()","v":502}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,"Part L. Impact of Taxi Pricing (or other policy and/or exogenous changes) on # of Taxi Rides",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,"These figures apply only to trips taking place within the taxi zone selected.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":507}]
[null,"\"Exogenous\" % increase from baseline passengers per trip",null,null,null,null,"This option allows modeling of possible advent of taxi-sharing by strangers going from same Point A to same Point B.",null,null,null,null,0,null,0,{"$f":"ROW()","v":508}]
[null,"To be inputted by user. Default value = zero.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,null,null,null,null,null,null,null,null,null,null,null,"In absence of hourly subway data for weekends, we est. subway attraction from taxis at 50% of that for weekdays.",null,{"$f":"ROW()","v":510}]
[null,"Part M. Impact of Changes in Prices/Fares/Service for Other Modes on No. of Taxi Rides (for typical weekday or weekend day)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,"Much of the data here are calculated in other worksheets and imported from them.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,"Change in taxi trips due to changes in subway fares and durations",null,null,null,null,null,null,null,null,null,{"$f":"-Subways!AN323","v":-3658.5588678324511},null,{"$f":"0.5*L513","v":-1829.2794339162256},{"$f":"ROW()","v":513}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Subways' worksheet, last column, Row \",Subways!O323, \"; reflects fact that taxi occupancy > 1; i.e., above row is # of taxi trips, not # of taxi passengers.\")","v":"Calculated in 'Subways' worksheet, last column, Row 323; reflects fact that taxi occupancy > 1; i.e., above row is # of taxi trips, not # of taxi passengers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514}]
[null,"Change in taxi trips due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"Elasticities!I117*('Motor Vs'!I85-'Motor Vs'!W933)","v":2582.7821377663286},null,{"$f":"Elasticities!I117*('Motor Vs Weekends'!I85-'Motor Vs Weekends'!W933)","v":262.80053528323367},{"$f":"ROW()","v":515}]
[null,{"$f":"CONCATENATE(\"Calculated as product of difference between final and initial cordon entries for auto work trips, and cross-elasticity of taxi trips w/r/t auto work trips.\")","v":"Calculated as product of difference between final and initial cordon entries for auto work trips, and cross-elasticity of taxi trips w/r/t auto work trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516}]
[null,"Change in taxi person-trips due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L515*H.I.S.!$G$125","v":2970.1994584312774},null,{"$f":"N515*H.I.S.!$G$125","v":302.22061557571868},{"$f":"ROW()","v":517}]
[null,{"$f":"CONCATENATE(\"Calculated as product of Row \",O515, \" and average work-trip occupancy in H.I.S. worksheet tab.\")","v":"Calculated as product of Row 515 and average work-trip occupancy in H.I.S. worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":518}]
[null,"Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L517/$L$219","v":2121.5710417366267},null,{"$f":"N517/$L$219","v":215.87186826837049},{"$f":"ROW()","v":519}]
[null,{"$f":"CONCATENATE(\"Row \",O517, \" divided by avg taxi passenger occupancy in Row \",O219, \".\")","v":"Row 517 divided by avg taxi passenger occupancy in Row 219."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,"Change in taxi trips due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"Elasticities!J117*('Motor Vs'!J85-'Motor Vs'!AF933)","v":421.38146087000428},null,{"$f":"Elasticities!J117*('Motor Vs Weekends'!J85-'Motor Vs Weekends'!AF933)","v":753.43184993899126},{"$f":"ROW()","v":521}]
[null,{"$f":"CONCATENATE(\"Calculated as product of Row \",O519, \" and average non-work-trip occupancy in H.I.S. worksheet tab.\")","v":"Calculated as product of Row 519 and average non-work-trip occupancy in H.I.S. worksheet tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,"Change in taxi person-trips due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L521*H.I.S.!$H$125","v":632.07219130500641},null,{"$f":"N521*H.I.S.!$H$125","v":1130.147774908487},{"$f":"ROW()","v":523}]
[null,{"$f":"CONCATENATE(\"Calculated as product of difference between final and initial cordon entries for auto non-work trips, and cross-elasticity of taxi trips w/r/t auto non-work trips.\")","v":"Calculated as product of difference between final and initial cordon entries for auto non-work trips, and cross-elasticity of taxi trips w/r/t auto non-work trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":524}]
[null,"Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto-non-work trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L523/$L$219","v":451.48013664643321},null,{"$f":"N523/$L$219","v":807.24841064891939},{"$f":"ROW()","v":525}]
[null,{"$f":"CONCATENATE(\"Row \",O523, \" divided by avg taxi passenger occupancy in Row \",O219, \".\")","v":"Row 523 divided by avg taxi passenger occupancy in Row 219."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,"Net Change in taxi trips (i.e., taxi vehicles, not taxi passengers) due to tolled-off auto trips converting to taxis ",null,null,null,null,null,null,null,null,null,{"$f":"L519+L525","v":2573.0511783830598},null,{"$f":"N519+N525","v":1023.1202789172899},{"$f":"ROW()","v":527}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O519, \" and \",O525, \".\")","v":"Sum of Rows 519 and 525."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,"Sum of changes from above three modes (subways, auto work trips, auto non-work trips)",null,null,null,null,null,null,null,null,null,{"$f":"L513+L527","v":-1085.5076894493914},null,{"$f":"N513+N527","v":-806.15915499893572},{"$f":"ROW()","v":529}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O513, \" and \",O527, \".\")","v":"Sum of Rows 513 and 527."},null,null,null,null,null,null,null,null,"Weekdays",null,"Weekends",null,{"$f":"ROW()","v":530}]
[null,null,null,null,null,null,null,null,null,null,null,"Figures in column apply to weekdays or to all 7 days",null,"Figures in column apply to weekends and holidays",{"$f":"ROW()","v":531}]
[null,"Premise is that changes in number of fare trips will be reflected primarily by adding or substracting \"shifts\" for cabs that would otherwise be idle (or in use, respectively). A previous subroutine that attempted to absorb some changes in ridership through changes in taxi \"cruising\" (driving w/o passengers) was excessively complex and has been put aside.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":532}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":533}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":534}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":535}]
[null,"Power factor (exponent) relating % change in taxi fare rides to % change in shifts per day per taxi",null,null,null,null,null,null,null,null,null,0.5,null,{"$f":"L536","v":0.5},{"$f":"ROW()","v":536}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":537}]
[null,"Share of taxi VMT spent cruising, after implementing pricing ",null,null,null,null,null,null,null,null,null,0.4,null,{"$f":"L538","v":0.4},{"$f":"ROW()","v":538}]
[null,"TK.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,"4. Now apply weights to three types of trips (based on \"before\")",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":542}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":543}]
[null,"Total trips",null,null,null,{"$f":"L216","v":580683.65575151052},null,null,"miles",null,{"$f":"N216","v":608623.85082872922},null,null,"miles",{"$f":"ROW()","v":544},{"$f":"L216","v":580683.65575151052},null,null,"miles"]
[null,"of which trips into CBD are:",null,null,null,null,{"$f":"H545*$F$544","v":40362.365120166069},{"$f":"L467","v":6.9508354024412494E-2},{"$f":"L460","v":-0.23577312485304733},{"$f":"CONCATENATE(\"%'s are from Row \",$O$467, \".\")","v":"%'s are from Row 467."},null,{"$f":"$N$216/$L$216*G545","v":42304.442091104531},{"$f":"N467","v":6.9508354024412494E-2},{"$f":"I545","v":-0.23577312485304733},{"$f":"ROW()","v":545},null,{"$f":"R545*$P$544","v":40362.365120166069},{"$f":"L467","v":6.9508354024412494E-2},{"$f":"L460","v":-0.23577312485304733}]
[null,"we assume trips out of CBD are same as into, yielding:",null,null,null,null,{"$f":"H546*$F$544","v":40362.365120166069},{"$f":"H545","v":6.9508354024412494E-2},{"$f":"L460","v":-0.23577312485304733},{"$f":"CONCATENATE(\"%'s are from Row \",$O$545, \".\")","v":"%'s are from Row 545."},null,{"$f":"$N$216/$L$216*G546","v":42304.442091104531},{"$f":"M545","v":6.9508354024412494E-2},{"$f":"I546","v":-0.23577312485304733},{"$f":"ROW()","v":546},null,{"$f":"R546*$P$544","v":40362.365120166069},{"$f":"R545","v":6.9508354024412494E-2},{"$f":"L460","v":-0.23577312485304733}]
[null,"intra-CBD trips are:",null,null,null,null,{"$f":"H547*F544","v":116168.34469681622},{"$f":"$J$400","v":0.20005444194304592},{"$f":"L458","v":1.8},{"$f":"CONCATENATE(\"%'s are from Cell J\",$O$400, \".\")","v":"%'s are from Cell J400."},null,{"$f":"$N$216/$L$216*G547","v":121757.90483076904},{"$f":"$J$400","v":0.20005444194304592},{"$f":"I547","v":1.8},{"$f":"ROW()","v":547},null,{"$f":"H547*P544","v":116168.34469681622},{"$f":"$J$400","v":0.20005444194304592},{"$f":"L458","v":1.8}]
[null,"non-CBD trips are:",null,null,null,null,{"$f":"L216*(1-H400)","v":303065.85057402996},{"$f":"1-SUM(H545:H547)","v":0.66092885000812907},{"$f":"L459","v":5.1837361010090932},"%'s are complements of sum of 3 prior rows.",null,{"$f":"$N$216/$L$216*G548","v":317648.17763354199},{"$f":"L548/K$544","v":0.52191214195930402},{"$f":"I548","v":5.1837361010090932},{"$f":"ROW()","v":548},null,{"$f":"L216*(1-H400)","v":303065.85057402996},{"$f":"1-SUM(R545:R547)","v":0.66092885000812907},{"$f":"L459","v":5.1837361010090932}]
[null,null,null,null,null,null,null,null,"CBD total miles (incl. cruising) ",null,null,null,null,"CBD total miles (incl. cruising) ",{"$f":"ROW()","v":549},null,null,null,"CBD total miles (incl. cruising) "]
[null,null,null,null,null,"% of miles w/i CBD","miles w/i CBD","CBD fare miles ",null,null,"% of miles w/i CBD","miles w/i CBD","CBD fare miles ",null,{"$f":"ROW()","v":550},"% of miles w/i CBD","miles w/i CBD","CBD fare miles "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,"Trips into CBD:",null,{"$f":"CONCATENATE(\"%'s in Rows \",O552, \" & \",O553, \" are Komanoff assumptions. Other calculations in this block are straightforward multiplications.\")","v":"%'s in Rows 552 & 553 are Komanoff assumptions. Other calculations in this block are straightforward multiplications."},null,0.5,{"$f":"F552*I545","v":-0.11788656242652366},{"$f":"G545*G552","v":-4758.1804754205987},{"$f":"CONCATENATE(\"fare miles in Row \",$O556, \" x multiplier in Row \",$O443,\".\")","v":"fare miles in Row 556 x multiplier in Row 443."},null,0.5,{"$f":"K552*N545","v":-0.11788656242652366},{"$f":"L545*L552","v":-4987.1252534922496},{"$f":"CONCATENATE(\"fare miles in Row \",$O556, \" x multiplier in Row \",$O443,\".\")","v":"fare miles in Row 556 x multiplier in Row 443."},{"$f":"ROW()","v":552},0.5,{"$f":"P552*S545","v":-0.11788656242652366},{"$f":"Q545*Q552","v":-4758.1804754205987},{"$f":"CONCATENATE(\"fare miles in Row \",$O556, \" x multiplier in Row \",$O443,\".\")","v":"fare miles in Row 556 x multiplier in Row 443."}]
[null,"Trips out of CBD:",null,null,null,{"$f":"F552","v":0.5},{"$f":"F553*I546","v":-0.11788656242652366},{"$f":"G546*G553","v":-4758.1804754205987},null,null,{"$f":"K552","v":0.5},{"$f":"K553*N546","v":-0.11788656242652366},{"$f":"L546*L553","v":-4987.1252534922496},null,{"$f":"ROW()","v":553},{"$f":"P552","v":0.5},{"$f":"P553*S546","v":-0.11788656242652366},{"$f":"Q546*Q553","v":-4758.1804754205987}]
[null,"Intra-CBD trips:",null,null,null,1,{"$f":"F554*I547","v":1.8},{"$f":"G547*G554","v":209103.02045426919},null,null,1,{"$f":"K554*N547","v":1.8},{"$f":"L547*L554","v":219164.22869538428},null,{"$f":"ROW()","v":554},1,{"$f":"P554*S547","v":1.8},{"$f":"Q547*Q554","v":209103.02045426919}]
[null,"Non-CBD trips:",null,null,null,0,0,{"$f":"G547*G555","v":0},null,null,0,0,{"$f":"L547*L555","v":0},null,{"$f":"ROW()","v":555},0,0,{"$f":"Q547*Q555","v":0}]
[null,null,null,null,null,null,null,{"$f":"SUM(H552:H555)","v":199586.659503428},{"$f":"H556*$L443","v":332644.43250571337},null,null,null,{"$f":"SUM(M552:M555)","v":209189.97818839978},{"$f":"M556*$L443","v":348649.96364733297},{"$f":"ROW()","v":556},null,null,{"$f":"SUM(R552:R555)","v":199586.659503428},{"$f":"R556*$L443","v":332644.43250571337}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":557}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":558}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Part N. Delays for Other Road Users Caused by One Taxi Trip Taking Place Entirely Within the Cordon, Weekdays",null,null,null,null,null,null,null,null,"It would be useful, though non-essential, to re-connect this section.",null,null,null,{"$f":"ROW()","v":560}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,{"$f":"CONCATENATE(\"This calculation presents the time costs that a single and relatively short (\",L458, \"-mile) medallion taxi trip within the CBD imposes on other road users.\")","v":"This calculation presents the time costs that a single and relatively short (1.8-mile) medallion taxi trip within the CBD imposes on other road users."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":562}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,null,null,null,"(1)","(2)","(3)","(4)",null,null,null,null,null,null,{"$f":"ROW()","v":564}]
[null,null,null,null,"Delays, Minutes/Mile","Delays, Minutes","Value of Veh-Hr in Traffic","Social \"Time cost\" of trip",null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,null,"Shift","Hours",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":566}]
[null,"These outliers will be fixed, once Delays tab is revised to reflect changes in motor v column categories from early Nov. 2017",{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$f":"E567*$L$458","v":{"$error":"#REF!"}},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$f":"G567*F567/60","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"(1) is from 'Delays' worksheet, Rows \",#REF!, \"-\",#REF!,\", adj'd for car vs. avg motor vehicle; (2) multiplies (1) x number of miles in typical intra-CBD taxi trip, from Row \",O458, \". Weighted Avg applies hourly VMT w/i CBD, from 'Motor Vs' worksheet, Row \",'Motor Vs'!O166, \".\")","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":567}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},null,null,null,null,null,null,{"$f":"ROW()","v":568}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},null,null,null,null,null,null,{"$f":"ROW()","v":569}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},{"$f":"CONCATENATE(\"(3) is from 'Value of Time' worksheet, Row \",'Value of Time'!O90, \". Ideally, value of time would be varied according to time period, but this calculation is primarily illustrative and doesn't require that level of precision. (4) multiplies Columns F & G and divides by 60.\")","v":"(3) is from 'Value of Time' worksheet, Row 90. Ideally, value of time would be varied according to time period, but this calculation is primarily illustrative and doesn't require that level of precision. (4) multiplies Columns F & G and divides by 60."},null,null,null,null,null,{"$f":"ROW()","v":571}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},null,null,null,null,null,null,{"$f":"ROW()","v":572}]
[null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!*#REF!","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"'Value of Time'!$M$90","v":51.562375658789044},{"$error":"#REF!"},null,null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,null,null,"Weighted Averages",{"$f":"(E567*'Motor Vs'!G166+E568*'Motor Vs'!H166+E569*'Motor Vs'!I166+E570*'Motor Vs'!J166+E571*'Motor Vs'!K166+E572*'Motor Vs'!L166+E573*'Motor Vs'!M166)/SUM('Motor Vs'!G166:M166)","v":{"$error":"#REF!"}},{"$f":"(F567*'Motor Vs'!G166+F568*'Motor Vs'!H166+F569*'Motor Vs'!I166+F570*'Motor Vs'!J166+F571*'Motor Vs'!K166+F572*'Motor Vs'!L166+F573*'Motor Vs'!M166)/SUM('Motor Vs'!G166:M166)","v":{"$error":"#REF!"}},null,{"$f":"G573*F574/60","v":{"$error":"#REF!"}},null,null,null,null,null,null,{"$f":"ROW()","v":574}]
[null,null,null,"Rounded Delay Cost",null,"(rounded to nearest $0.50)",null,{"$f":"0.5*ROUND(2*H574,0)","v":{"$error":"#REF!"}},null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,null,"Ratio, delay cost / net fare ∆ w/ surcharge",null,null,null,{"$f":"H574/#REF!","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"Ratio of delay cost to net fare change uses average intra-CBD net fare change (w/o tip) from Cell J \",#REF!,\".\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,{"$f":"ROW()","v":576}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577}]
[null,null,null,"Fare ∆ % of Delay Cost",null,null,{"$f":"1/G576","v":{"$error":"#REF!"}},{"$f":"CONCATENATE(\"Reciprocal of Row \",O576, \".\")","v":"Reciprocal of Row 576."},null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,null,null,"Weighted Avg for 6 am - 8 pm only",{"$f":"(E569*'Motor Vs'!I166+E570*'Motor Vs'!J166+E571*'Motor Vs'!K166+E572*'Motor Vs'!L166)/SUM('Motor Vs'!I166:L166)","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":579}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":581}]
[null,"Part O: Rough estimation of revenue from trawling fees for Ubers and Lyfts",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":582}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":583}]
[null,"Number of hours oer TNC shift",null,null,null,null,null,null,null,null,8,null,null,null,{"$f":"ROW()","v":584}]
[null,"Number of for-hire vehicles in NYC",null,null,null,null,null,null,null,null,120000,null,null,null,{"$f":"ROW()","v":585}]
[null,"Source: NYC TLC & DOT, June 2019 report, \"Improving Efficiency and Managing Growth in NYC's For-Hire Vehicle Sector,\" p. 3.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":586}]
[null,"Share of those denoting Ubers and Lyfts operating on any given weekday",null,null,null,null,null,null,null,null,{"$f":"2/3","v":0.66666666666666663},null,null,null,{"$f":"ROW()","v":587}]
[null,"Komanoff assumption, intended to weed out black cars and idle vehicles",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":588}]
[null,"Number of for-hire vehicles in NYC operating on a given weekday",null,null,null,null,null,null,null,null,{"$f":"K587*K585","v":80000},null,null,null,{"$f":"ROW()","v":589}]
[null,{"$f":"CONCATENATE(\"Product of percentage in Row \",O587, \" and raw number in Row \",O585, \".\")","v":"Product of percentage in Row 587 and raw number in Row 585."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":590}]
[null,"Share of hours that TNC's operate in Manhattan taxi zone",null,null,null,null,null,null,null,null,{"$f":"ROUNDDOWN(J229,1)","v":0.4},null,null,null,{"$f":"ROW()","v":591}]
[null,{"$f":"CONCATENATE(\"Copied from percentage of TNC pick-ups in the taxi zone given in Row \",O229, \".\")","v":"Copied from percentage of TNC pick-ups in the taxi zone given in Row 229."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":592}]
[null,"Number of TNC's operating in Manhattan taxi zone at any given time on a weekday",null,null,null,null,null,null,null,null,{"$f":"K591*K589","v":32000},null,null,null,{"$f":"ROW()","v":593}]
[null,{"$f":"CONCATENATE(\"Product of percentage in Row \",O591, \" and raw number in Row \",O589, \".\")","v":"Product of percentage in Row 591 and raw number in Row 589."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":594}]
[null,"Idle time % for TNC's",null,null,null,null,null,null,null,null,0.41,null,null,null,{"$f":"ROW()","v":595}]
[null,"NYC DOT estimate, as noted in Komanoff post, https://nyc.streetsblog.org/2019/06/13/komanoff-de-blasios-good-intentions-wont-cure-uberlyft-gridlock/",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":596}]
[null,"Number of TNC's that are idle in the Manhattan taxi zone at any given time on a weekday",null,null,null,null,null,null,null,null,{"$f":"K595*K593","v":13120},null,null,null,{"$f":"ROW()","v":597}]
[null,{"$f":"CONCATENATE(\"Product of percentage in Row \",O595, \" and raw number in Row \",O593, \".\")","v":"Product of percentage in Row 595 and raw number in Row 593."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":598}]
[null,"Proposed base weekday per-minute trawling charge",null,null,null,null,null,null,null,null,0.25,null,null,null,{"$f":"ROW()","v":599}]
[null,"Effective weekday average per-minute trawling charge",null,null,null,null,null,null,null,null,{"$f":"(14*K599+10*K599*0.5)/24","v":0.19791666666666666},null,null,null,{"$f":"ROW()","v":600}]
[null,{"$f":"CONCATENATE(\"Weighted average of rate in Row \",O599, \" for 14 hours and half of that rate for the remaining 10 hours of the day.\")","v":"Weighted average of rate in Row 599 for 14 hours and half of that rate for the remaining 10 hours of the day."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":601}]
[null,"Total dollars charged to TNC's for trawling, per weekday hour",null,null,null,null,null,null,null,null,{"$f":"ROUND(60*K600*K597,-3)","v":156000},null,null,null,{"$f":"ROW()","v":602}]
[null,{"$f":"CONCATENATE(\"Product of 60 x Row \",O600, \" and Row \",O597, \".\")","v":"Product of 60 x Row 600 and Row 597."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":603}]
[null,"Total TNC trawling charges per weekday",null,null,null,null,null,null,null,null,{"$f":"K602*K584","v":1248000},null,null,null,{"$f":"ROW()","v":604}]
[null,{"$f":"CONCATENATE(\"Product of hours per shift in Row \",O584, \" and hourly trawling charge in Row \",O602, \".\")","v":"Product of hours per shift in Row 584 and hourly trawling charge in Row 602."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":605}]
[null,"Total TNC trawling charges per weekend day",null,null,null,null,null,null,null,null,{"$f":"ROUND(K599*0.5*60*K597*K584,-3)","v":787000},null,null,null,{"$f":"ROW()","v":606}]
[null,{"$f":"CONCATENATE(\"Product of 60 x hours per shift in Row \",O584, \" x Row \",O599, \" and Row \",O597, \" x 1/2 (to allow for 50% weekend discount from peak rate).\")","v":"Product of 60 x hours per shift in Row 584 x Row 599 and Row 597 x 1/2 (to allow for 50% weekend discount from peak rate)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":607}]
[null,"Total TNC trawling charges per year",null,null,null,null,null,null,null,null,{"$f":"ROUND(K604*wkday_per_yr+K606*wkend_per_yr,-6)","v":403000000},null,null,null,{"$f":"ROW()","v":608}]
[null,{"$f":"CONCATENATE(\"Sum of respective products of per-weekday charges in Rows \",O604, \" and \",O604, \" and the number of weekdays and weekend days in a year.\")","v":"Sum of respective products of per-weekday charges in Rows 604 and 604 and the number of weekdays and weekend days in a year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":609}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,"Selected press commentary on Uber",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":612}]
[null,"NY Daily News editorial, \"New York Should Leave Uber Alone,\" Sunday, July 5, 2015:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":613}]
[null,"Playing by the city’s own rules, Uber has grown from no cars to 19,518 in three years, outnumbering the 13,587 yellow cabs, and is adding as many as 2,000 a month. That’s a lot, but those yellows are making many times more trips a day, about 430,000 compared with about 100,000 for Uber. From a traffic perspective, a few thousand new cars in Midtown and downtown (where 72% of the app cars make pickups) is a tablespoon in a lake. There are 750,000 cars entering Manhattan south of 60th St. daily. In this case, the picture is muddied further by the fact that Uber cars average eight rides a day, while a yellow taxi will have 32 fares in 24 hours. In fact, statistics show that on a typical day, a third of Uber cars aren’t active. <http://www.nydailynews.com/opinion/editorial-app-app-article-1.2279820>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":614}]
[]
[]
[]
[null,"NY Times \"Upshot\" feature, \"Blame Uber for Congestion in Manhattan? Not So Fast\":"]
[null,"Uber vehicles pick up passengers in Manhattan below 59th street an average of about 96,900 times a day. Since 2013, yellow cab pickups in the same part of town have declined by about 44,500 a day, most of which is probably attributable to riders substituting taxi rides for Uber rides. Therefore, part of the remainder, a bit more than half of Uber’s pickups, are people who wouldn’t have taken a taxi beforehand, though some trips might be displacing rides with traditional black car services or trips in a personal car, rather than totally new rides. <http://www.nytimes.com/2015/07/28/upshot/blame-uber-for-congestion-in-manhattan-not-so-fast.html>"]

{"sheet":"Transit","index":29,"n_rows":655,"n_cols":36,"rows_kept":655,"cut":false,"hidden":false,"merged":[[180,9,181,11],[4,1,8,9],[563,6,563,9],[563,10,563,13],[148,9,151,12],[153,9,155,12],[157,9,160,12],[162,9,164,12],[165,9,165,12],[197,1,198,6],[15,1,19,9],[42,5,42,6],[42,7,42,8],[10,11,14,13],[42,9,42,10],[42,11,42,12],[20,9,21,9],[25,1,26,9],[19,11,21,12],[24,11,27,12],[28,11,29,12],[87,8,105,8],[241,5,243,5],[241,6,242,7],[581,2,581,3],[581,4,581,5],[580,6,580,9],[580,10,580,13],[606,1,608,12],[284,1,286,9],[553,1,555,9],[557,1,558,9],[537,2,540,2],[537,3,540,3],[573,1,574,9],[384,7,386,8],[315,11,320,13],[307,10,307,13],[431,1,432,8],[286,12,287,13],[365,1,367,7],[373,8,373,11],[58,27,58,30],[60,11,64,11],[184,15,187,24],[181,15,182,24],[58,21,58,25],[67,27,68,35],[69,9,70,12],[57,9,58,10],[58,31,58,35],[58,17,58,20],[87,9,105,13],[107,8,109,9],[77,1,79,8],[69,1,71,8],[81,8,85,13],[99,1,100,6],[143,22,143,24],[69,16,69,24],[67,16,68,25],[163,16,164,26],[166,9,168,12],[137,9,140,12],[133,1,135,7],[137,1,140,7],[10,17,10,23],[11,17,11,23],[29,17,32,23],[33,17,36,23],[381,1,383,7],[48,9,48,10],[60,1,61,4],[48,11,48,12],[54,1,56,8],[57,7,58,8],[58,6,59,6],[48,1,50,8],[370,1,372,7],[155,7,160,7],[67,1,68,6],[155,6,160,6],[194,8,195,8],[287,8,287,9],[202,15,203,24],[205,15,211,24],[21,5,23,6],[37,17,38,23],[39,17,42,23],[43,17,46,23],[281,1,283,9],[193,15,194,24],[196,15,197,24],[289,18,291,18],[214,15,215,24],[226,15,228,24],[289,19,291,19],[199,15,200,24],[72,19,73,19],[220,15,221,24],[194,1,195,6],[234,1,235,6],[238,1,239,6],[271,1,272,6],[152,1,153,7],[148,1,150,7],[133,9,135,12],[142,1,146,7],[155,1,155,5],[142,9,146,12],[217,15,218,24],[219,1,221,6],[227,1,228,6],[170,9,172,11],[531,16,534,23],[537,16,542,23],[518,4,519,4],[518,6,519,6],[518,5,519,5],[518,7,519,7],[518,8,519,8],[518,9,519,9],[517,11,519,11],[517,10,519,10],[517,12,519,12],[537,4,540,4],[537,5,540,5],[537,6,540,6],[537,7,540,7],[526,16,528,23],[171,12,172,12],[173,9,174,12],[614,1,615,9],[629,1,630,9],[289,17,291,17],[223,15,224,24],[385,6,387,6],[342,1,343,7],[331,1,332,9],[318,1,321,9],[376,1,378,7],[346,1,348,7],[519,16,524,23],[286,10,287,11],[315,1,316,9],[275,1,277,8],[290,1,291,9],[351,1,352,7],[514,1,516,12],[496,1,498,8],[502,7,503,7],[504,8,505,8],[451,3,453,7],[371,8,372,11]]}
[null,"Transit",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2}]
[null,"This section, esp'ly Part A (Fares), needs updating to reflect early-2019 fares"]
[null,"From NYT, \"Subway Fares Are Rising Again. But That Won’t Solve the M.T.A.’s Crisis.,\" by Emma Fitzsimmons, Feb 28, 2019: "]
[null,"The Metropolitan Transportation Authority board voted on Wednesday to raise fares for New York City subway and bus riders in April. But the agency says that higher fares will not solve its deep financial crisis. The board voted to keep the base fare at $2.75 while eliminating the 5 percent bonus that riders receive when buying a pay-per-ride MetroCard. Commuters who rely on the authority’s sprawling network of trains, buses, bridges and tunnels will also see fare and toll increases of about 4 percent. On April 21, the price of a weekly MetroCard will rise to $33, up from $32. A monthly pass will increase to $127, up from $121.  https://www.nytimes.com/2019/02/27/nyregion/mta-fares-hike.html"]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Add info from http://www.nydailynews.com/new-york/mta-working-rider-friendly-initiatives-cost-20m-sources-article-1.1795849",null,null,null,null,null,null,null,null,null,"Note: Notwithstanding its title, this worksheet does not encompass all of the transit analysis in the BTA. See worksheets Subways, CBTC, Sub v. Bus, Buses, Bus Routes, and Bus Boarding for other analysis.",null,null,{"$f":"ROW()","v":11},null,null,"From Jan. 22, 2015 press release, \"MTA Board Approves Limited Fare and Toll Increases\""]
[null,"MTA officials working on rider-friendly initiatives that could cost around $20M",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12},null,null,"http://www.mta.info/press-release/mta-headquarters/mta-board-approves-limited-fare-and-toll-increases"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13},null,null,"Fare Type",null,null,null,"Current",null,"New"]
[null,"This worksheet develops a number of parameters and relationships that apply to broad elements of the NYC Transit system as a whole.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14},null,null,"Base MetroCard Fare/",null,null,null,2.5,null,2.75]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15},null,null,"Local Bus Cash Fare",null,null,null,2.5,null,2.75]
[null,"Parts A through E deal with transit fares. Part F summarizes average subway and bus speeds. Parts G and H estimate the extent to which increased (or decreased) capital investment (Part G) and operations spending (Part H) will improve transit service as measured by travel speeds and trip durations. Part I analyzes impacts from possible cutbacks in NJ Transit train service to NY Penn Station as the two trans-Hudson train tunnels are taken from service for post-Sandy rehabilitation.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16},null,null,"Bonus",null,null,null,"5% with $5 purchase",null,"11% w $5.50 purch"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17},null,null,"Effective Fare with Bonus",null,null,null,2.38,null,2.48]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18},null,null,"Single Ride Ticket (base MetroCard/Cash Fare + 25¢)",null,null,null,2.75,null,3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19},null,null,"30-Day MetroCard",null,null,null,112,null,116.5]
[null,null,null,null,null,null,null,null,null,null,null,"A calculation of fare increase from 1991 to 2014, for a proposed D News article in March 2017",null,null,{"$f":"ROW()","v":20},null,null,"7-Day MetroCard",null,null,null,30,null,31]
[null,null,null,null,null,null,null,null,null,"Combined (weighted)",null,null,null,null,{"$f":"ROW()","v":21},null,null,"Express Bus Fare"]
[null,"A. Pay-Per-Ride Fares & Discounts ",null,null,null,{"$f":"CONCATENATE(\"See box at right beginning at Row \",O11,\" for details on official fare changes, 2015 vs. 2013.\")","v":"See box at right beginning at Row 11 for details on official fare changes, 2015 vs. 2013."},null,"Subway","Bus",null,null,null,null,null,{"$f":"ROW()","v":22},null,null,"Cash",null,null,null,6,null,6.5]
[null,null,null,null,null,null,null,null,null,null,null,1991,2014,null,{"$f":"ROW()","v":23},null,null,"Effective MetroCard Fare with Bonus",null,null,null,5.71,null,5.86]
[null,"Base Fare (as of 22-March-2015)",null,null,null,null,null,2.75,2.75,null,null,1.1499999999999999,{"$f":"Subways!L16","v":1.9074765308215755},null,{"$f":"ROW()","v":24},null,null,"7-Day Express Bus Plus MetroCard",null,null,null,55,null,57.25]
[null,"Effective Average Fare paid per trip (2016)",null,null,null,null,null,{"$f":"Subways!J33","v":2.1236071173980036},{"$f":"Buses!L44","v":1.9754622261714638},{"$f":"(H25*H28+I25*I28)/(H28+I28)","v":2.0895804703714811},null,{"$f":"CONCATENATE(\"1991 figure is from New York City Subway and Local Bus Fare History. 2014 figure is from 'Subways' tab, Cell L\",Subways!O16, \", calculated by dividing subway revenue by subway rides.\")","v":"1991 figure is from New York City Subway and Local Bus Fare History. 2014 figure is from 'Subways' tab, Cell L16, calculated by dividing subway revenue by subway rides."},null,null,{"$f":"ROW()","v":25},null,null,"Access-a-Ride Fare",null,null,null,2.5,null,2.75]
[null,{"$f":"CONCATENATE(\"Subway # is from 'Subways' tab, Cell J\",Subways!O33, \". Bus # is from 'Buses' tab, Cell L\",Buses!O44, \". Each # is 2016 projected revenue divided by 2016 projected fare-paying rides. Combined weights w/ ridership #'s in Row \",O28, \".\")","v":"Subway # is from 'Subways' tab, Cell J33. Bus # is from 'Buses' tab, Cell L44. Each # is 2016 projected revenue divided by 2016 projected fare-paying rides. Combined weights w/ ridership #'s in Row 28."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26},null,null,"Note: The $1 fee for purchasing a new MetroCard will remain unchanged."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Ridership (2016, millions)",null,null,null,null,null,{"$f":"Subways!M21","v":1616.849921},{"$f":"Buses!L39","v":482.09628480000003},null,null,null,null,null,{"$f":"ROW()","v":28},null,null,"MTA Board Approves Limited Fare and Toll Increases (see link above)"]
[null,{"$f":"CONCATENATE(\"Subway figure is from 'Subways' tab, Cell L\",Subways!O20, \". Bus figure is from 'Buses' tab, Cell L\",Buses!O39, \". Each figure is 2016 projected fare-paying rides.\")","v":"Subway figure is from 'Subways' tab, Cell L20. Bus figure is from 'Buses' tab, Cell L39. Each figure is 2016 projected fare-paying rides."},null,null,null,null,null,null,null,null,null,"CPI (from CK gas consumption files; presumably 1984=100)",null,null,{"$f":"ROW()","v":29},null,null,"Customers Who Use MTA Most Will See Lowest Increases"]
[null,"Minimum farecard purchase to qualify for bonus value",null,null,null,null,null,5.5,5.5,null,null,null,null,null,{"$f":"ROW()","v":30},null,null,"The Metropolitan Transportation Authority (MTA) Board today approved increasing fares and tolls by 4% over the next two years, fulfilling a promise to keep fare and toll increases as low as possible. The new fares and tolls will take effect March 22, and will ensure the MTA can continue providing quality service even as ridership continues to climb."]
[null,{"$f":"CONCATENATE(\"Percent added to farecard value per purchase of $\",H30, \"0\")","v":"Percent added to farecard value per purchase of $5.50"},null,null,null,null,null,0.05,0.05,null,null,136.19999999999999,236.7,null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Amount added to farecard value per purchase of $\",H30, \"0\")","v":"Amount added to farecard value per purchase of $5.50"},null,null,null,null,null,{"$f":"H31*H30","v":0.27500000000000002},{"$f":"I31*I30","v":0.27500000000000002},null,null,{"$f":"L24*100/L31","v":0.84434654919236418},{"$f":"M24*100/M31","v":0.80586249717852787},null,{"$f":"ROW()","v":32}]
[null,{"$f":"CONCATENATE(\"Effective Discount w/ purchase of $\",H30, \"0 or more on Pay-Per-Ride Metrocards.\")","v":"Effective Discount w/ purchase of $5.50 or more on Pay-Per-Ride Metrocards."},null,null,null,null,null,{"$f":"1-1/(1+H31)","v":4.7619047619047672E-2},{"$f":"1-1/(1+I31)","v":4.7619047619047672E-2},null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"See <http://web.mta.info/nyct/fare/FaresatAGlance.htm#save> (link applies to 2013 fares; check if same, after 22-March-2015).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34},null,null,"“The MTA has been able to limit these fare and toll increases to the equivalent of 2% a year thanks to our continued aggressive cost-cutting, while still adding service and improving service quality for our growing number of customers,” said MTA Chairman and CEO Thomas F. Prendergast. “Our Financial Plan assumes modest biennial fare and toll increases, and the Board has chosen options with lower increases for our most frequent customers.”"]
[null,"MTA Discount prior to 30-Dec-2010 fare increases",null,null,null,"Shown for historical interest.",null,{"$f":"0.25/(5+0.25)","v":4.7619047619047616E-2},{"$f":"0.25/(5+0.25)","v":4.7619047619047616E-2},null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"% of Incremental-Cost Based Rides that Receive a Discount (2012)",null,null,null,null,null,{"$f":"S66/H66","v":0.91076196869570425},{"$f":"X66/I66","v":0.74181923299286945},null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,{"$f":"CONCATENATE(\"Drawn from calculations on NYCT 'fare media' shares shown in Row \",O64, \".\")","v":"Drawn from calculations on NYCT 'fare media' shares shown in Row 64."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Effective discount from average fare on incremental-cost paying rides",null,null,null,null,null,{"$f":"H36*H33","v":4.3369617556938349E-2},{"$f":"I36*I33","v":3.5324725380612869E-2},null,null,null,null,null,{"$f":"ROW()","v":38},null,null,"The MTA has cut $1.1 billion from its annual spending, with more cuts planned every year to bring annual savings to $1.6 billion by 2018."]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O33, \" and \",O36, \".\")","v":"Product of Rows 33 and 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Effective discount from average fare on all rides",null,null,null,null,2012,{"$f":"H$38*H66","v":2.1517216505439876E-2},{"$f":"I$38*I66","v":1.833000000000002E-2},null,null,null,null,null,{"$f":"ROW()","v":40},null,null,"The Board approved increasing the base fare for the subway and bus by 25 cents to $2.75, while also more than doubling the bonus amount added to MetroCard purchases of at least one round-trip. The combination of the increased fare and the increased bonus creates an effective fare increase of 4.1%, or 10 cents, for the Bonus MetroCard, which is used for 43% of trips."]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O38, \" and either \",O64, \" or \",O74, \".\")","v":"Product of Rows 38 and either 64 or 74."},null,null,null,null,"Projected",{"$f":"H$38*H73","v":2.1517216505439876E-2},{"$f":"I$38*I73","v":1.833000000000002E-2},null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,"As of 22-March-2015",null,"3-March-2013 to 22-March-2015",null,"Change (Multiple)",null,"Reciprocal of Change",null,null,{"$f":"ROW()","v":43}]
[null,"B. Unlimited Fares & Discounts ",null,null,null,"Subway","Bus","Subway","Bus","Subway","Bus","Subway","Bus",null,{"$f":"ROW()","v":44},null,null,"The 30-Day Unlimited Ride MetroCard, which is used for 29% of trips, will increase 4% to $116.50. The 7-Day Unlimited Ride MetroCard, which is used for 21% of trips, will increase 3.3% to $31. The remaining 7% of trips are made using non-bonus MetroCards, cash on buses or Single Ride Tickets, which are largely purchased near major tourist destinations."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"30-day Unlimited Ride MetroCard",null,null,null,116.5,116.5,112,112,{"$f":"F46/H46","v":1.0401785714285714},{"$f":"G46/I46","v":1.0401785714285714},{"$f":"1/J46","v":0.96137339055793991},0.96137339055793991,null,{"$f":"ROW()","v":46}]
[null,"7-day Unlimited Pass",null,null,null,31,31,30,30,{"$f":"F47/H47","v":1.0333333333333334},{"$f":"G47/I47","v":1.0333333333333334},0.96774193548387089,0.96774193548387089,null,{"$f":"ROW()","v":47}]
[null,"Weighted Average of the two (applies only to changes)",null,null,null,null,null,null,null,{"$f":"J46*AE62+J47*AD62","v":1.0383030144085246},{"$f":"K46*AJ62+K47*AI62","v":1.0375749855392955},0.96310998439088213,0.96378576385998227,null,{"$f":"ROW()","v":48}]
[null,{"$f":"CONCATENATE(\"Row \",O48, \" weighted averages of 30-day and 7-day fare changes from Rows \",O46, \" and \",O47, \" employ normalized shares of 30-day and 7-day MetroCards from Row \",O69, \". Weighted averages of subway and bus fare changes in Row \",O49, \" weight subway and bus use of unlimiteds with respective projected ridership (for 2012 from 'Subways' tab, for 2013 from 'Buses' tabs) which in turn are weighted by unlimited media's shares of all subway and bus rides from Row \",O62, \". Note that Reciprocal was calc'd first.\")","v":"Row 48 weighted averages of 30-day and 7-day fare changes from Rows 46 and 47 employ normalized shares of 30-day and 7-day MetroCards from Row 69. Weighted averages of subway and bus fare changes in Row 49 weight subway and bus use of unlimiteds with respective projected ridership (for 2012 from 'Subways' tab, for 2013 from 'Buses' tabs) which in turn are weighted by unlimited media's shares of all subway and bus rides from Row 62. Note that Reciprocal was calc'd first."},null,null,null,null,null,null,null,{"$f":"1/L49","v":1.0381145850430509},null,{"$f":"(L48*Subways!M21*U62+M48*Buses!L35*Z62/1000)/(Subways!M21*U62+Buses!L35*Z62/1000)","v":0.96328479958551949},null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"C. Transit Fare Media",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Close to half of NYC Transit (subway and bus) rides are purchased with \"unlimited\" fare cards that effectively cause the rider to perceive the marginal cost of an additional trip as zero. This will attenuate (more or less proportionately) the price-responsiveness of subway and bus use.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,"% NYCT fares paid for on Incremental-Cost Basis",null,"% of NYC Transit fares that are undiscounted",null,null,null,null,{"$f":"ROW()","v":58},null,null,null,null,null,null,null,null,null,null,null,null,"Further breakout, of unlimited fare media"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59},null,null,"Subway",null,null,null,"Bus",null,null,null,null,null,"Subway",null,null,null,"Bus"]
[null,null,null,null,null,null,null,"Subway","Bus","Subway","Bus",null,null,null,{"$f":"ROW()","v":60},null,null,"1-Ride Tkt","PPR Bonus","PPR No Bon.","Unlimited","Cash","1-Ride Tkt","PPR Bonus","PPR No Bon.","Unlimited",null,"7 Day","30 Day","7D Normzd","30D Normzd",null,"7 Day","30 Day","7D Normzd","30D Normzd"]
[null,"Figures in 2x2 array are calculated directly from MTA data shown on far side of Column O.",null,null,null,null,2009,{"$f":"SUM(R61:T61)","v":0.49171094090413769},{"$f":"SUM(V61:Y61)","v":0.53068744930308531},{"$f":"R61+T61","v":0.11343595035041069},{"$f":"V61+W61+Y61","v":0.20011445280907125},"Historical Interest Only",null,null,{"$f":"ROW()","v":61},null,2009,2.86650075253309E-2,0.37827499055372699,8.4770942825079798E-2,0.50828905909586297,0.127951166886246,7.0498567931296795E-4,0.330572996494014,7.1458300243512296E-2,0.46931255069691402,null,0.135395301571203,0.34426142517052999,{"$f":"AB61/($AB61+$AC61)","v":0.28227541494295655},0.71772458505704351,null,0.17271,0.26773000000000002,{"$f":"AG61/($AG61+$AH61)","v":0.39213059667605116},0.60786940332394879]
[null,null,null,null,null,null,"2010 (8 mo.)",0.48187249521940934,0.51489585928002524,0.10900811262124731,0.18948777469213426,null,null,null,{"$f":"ROW()","v":62},null,"2010 (8 mo.)",2.4024874747677599E-2,0.37286438259816201,8.4983237873569706E-2,0.518127504780591,0.11764481718818801,6.4292986937395996E-4,0.325408084587891,7.1200027634572297E-2,0.48510414071997499,null,0.134051322424874,0.35519704975033101,0.27399441684165443,0.72600558315834562,null,0.17347000000000001,0.28260999999999997,0.38034993860726191,0.61965006139273804]
[null,null,null,null,null,null,2011,0.51701640928949044,0.54756442156045793,0.12556260220996751,0.20752143657532596,null,null,null,{"$f":"ROW()","v":63},null,2011,1.87744805217685E-2,0.39145380707952299,0.106788121688199,0.48298359071051,0.11818981173360001,4.7111308614342898E-4,0.34004298498513202,8.8860511755582502E-2,0.45243557843954202,null,0.15348090237366599,0.32924555754138901,0.3179459075035454,0.68205409249645454,null,0.19349,0.25858999999999999,0.42799946912050962,0.57200053087949032]
[null,null,null,null,null,null,2012,0.51994432529327883,0.55096293689984754,0.12523776437447981,0.20681879837846356,null,null,null,{"$f":"ROW()","v":64},null,2012,1.6185568564422801E-2,0.39470656091879902,0.109052195810057,0.480055674706722,0.115591562929723,3.9373126519737798E-4,0.34414413852138398,9.0833504183543204E-2,0.44903706310015301,null,0.161485341534749,0.31857033317197198,0.33638877747545592,0.66361122252454419,null,0.20266999999999999,0.24637000000000001,0.45134063780509531,0.54865936219490474]
[null,null,null,null,null,null,2013,0.50748976663824552,0.53198999999999996,5.8569178866202012E-2,0.14828000000000002,null,null,null,{"$f":"ROW()","v":65},null,2013,1.2961756349135175E-2,0.44892058777204352,4.5607422517066835E-2,0.49251,0.10731,2.7E-4,0.38371,4.07E-2,0.46800999999999998,null,0.17888999999999999,0.31362000000000001,0.36322105134921118,0.63677894865078888,null,0.22523000000000001,0.24278,0.4812504006324651,0.51874959936753484]
[null,null,null,null,null,null,2014,0.49613572167637238,0.51890000000000003,4.4274175062135476E-2,0.13397000000000001,"Used in Calc's",null,null,{"$f":"ROW()","v":66},null,2014,1.1273958558040576E-2,0.45186154661423689,3.3000216504094897E-2,0.50385999999999997,0.10004,2.1000000000000001E-4,0.38492999999999999,3.372E-2,0.48110000000000003,null,0.19578000000000001,0.30808000000000002,0.38856031437304017,0.61143968562695994,null,0.24521999999999999,0.23588000000000001,0.50970692163791309,0.49029307836208691]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Est'd increase in market share for incremental-cost pay media, if some or all NYC Transit rides are discounted on per-ride basis (in percentage points, not %).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,"Original source was MTA worksheet, \"Monthly Fare Media Market Share.\" 2009 figures are by MTA. 2010 figures are our calculated arithmetic means of MTA's figures for Jan-Aug 2010. Data therein were graciously updated by NYCT analyst Robert Hickey, most recently in March, 2015.",null,null,null,null,null,null,null,null,null,null,"Source: Same as noted at left. Normalized figures inflate 7-day and 30-day cards' shares as if the two were the only fare media."]
[null,null,null,null,null,null,null,0,0,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Zero values are needed to avoid apples/oranges comparisons of baseline to projected. We had hoped to set to 5% and 10%, resp'ly (w/ higher bus percent reflecting riders' more tenuous finances), to reflect expected shift to per-ride media to take advantage of per-ride discounts (tempered by ongoing \"secular\" shift to unlimited fare media). ",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note that a more detailed treatment would parametrize the Row \",O69, \" figures to discounts assumed in fare scenarios.\")","v":"Note that a more detailed treatment would parametrize the Row 69 figures to discounts assumed in fare scenarios."},null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Projected share of increm.-cost based rides, w/ pricing (rounded to nearest 5%)",null,null,null,null,null,{"$f":"H66+H69","v":0.49613572167637238},{"$f":"I66+I69","v":0.51890000000000003},null,null,null,null,null,{"$f":"ROW()","v":73},null,null,null,null,"Single-ride fare"]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O64, \" and \",O69, \".\")","v":"Sum of Rows 64 and 69."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75},null,null,null,"1904-10-27",0.05]
[null,"D. Allocating Transfers between Subways and Buses",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76},null,1940,1842675000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77},null,1941,1842506000]
[null,"Many NYC Transit trips involve transfers -- from subway to bus, bus to subway, or bus to bus. Clarifying the MTA's bookkeeping for these trips can help in accurately estimating costs per subway or bus ride, which are crucial parameters in the BTA's algorithms for predicting changes in transit use in response to fare changes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78},null,1942,1908489000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79},null,1943,1951202000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80},null,1944,1911809000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81},null,1945,1952929000]
[null,"Subway trips",null,null,null,null,null,4000000,"Estimates at left are from a 2000 paper, “Effects of Fare Incentives on New York City Transit Ridership,” written by analysts at the MTA, L. Hirsch, J. Jordan, R. Hickey, and R. Cravo, published in Transportation Research Record, Vol. 1735, p. 147-157. We use them in subsequent rows to estimate the percent of trips that qualify as fully allocable subway and bus trips. Note that source gave number of bus trips as \"more than two million.\"",null,null,null,null,null,{"$f":"ROW()","v":82},null,1946,2067227000]
[null,"Bus trips",null,null,null,null,null,2200000,null,null,null,null,null,null,{"$f":"ROW()","v":83},null,1947,2025914000]
[null,"Trips that transfer between subway and bus",null,null,null,null,null,500000,null,null,null,null,null,null,{"$f":"ROW()","v":84},null,1948,1912735000,"1948-07-01",0.1]
[null,"Trips that transfer between two buses",null,null,null,null,null,500000,null,null,null,null,null,null,{"$f":"ROW()","v":85},null,1949,1721554000]
[null,"Total number of transit journeys",null,null,null,null,null,5000000,null,null,null,null,null,null,{"$f":"ROW()","v":86},null,1950,1660098000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87},null,1951,1601617000]
[null,"Bus journeys that involved transfers between two buses",null,null,null,null,null,{"$f":"H85/2","v":250000},"These figures are from calculations by Komanoff made on the figures from the MTA paper, above. ","From the paper by Hirsch et al.:\n\nOn an average weekday, passengers make over 4,000,000 subway trips and more than 2,000,000 trips on NYC Transit buses. These passenger trip numbers include trips made by full-fare riders and half-fare senior citizen/handicapped riders, as well as about 500,000 student trips (200,000 on the subway and 300,000 on buses).\n\nSubway ridership is measured by the number of entries into the subway system, including transfers from buses. Bus ridership is measured by the number of bus boardings (i.e., unlinked trips), including transfers from the subway or from other buses. Approximately 500,000 weekday passenger trips make use of both a bus and a subway, with a similar number of trips requiring a transfer between buses. Thus, the number of NYC Transit linked trips (or passenger journeys) is about 5,000,000 each weekday.",null,null,null,null,{"$f":"ROW()","v":88},null,1952,1555254000]
[null,{"$f":"CONCATENATE(\"One-half of trips that transfer between two buses in Row \",O85, \".\")","v":"One-half of trips that transfer between two buses in Row 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89},null,1953,1495914000,"1953-07-25",0.15]
[null,"Bus journeys that involved transfer with a subway",null,null,null,null,null,{"$f":"H84/2","v":250000},null,null,null,null,null,null,{"$f":"ROW()","v":90},null,1954,1393799000]
[null,{"$f":"CONCATENATE(\"One-half of trips that transfer between subway and bus in Row \",O84, \".\")","v":"One-half of trips that transfer between subway and bus in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91},null,1955,1362143000]
[null,"Bus trips that involve no transfer of any type",null,null,null,null,null,{"$f":"H83-H84-H85","v":1200000},null,null,null,null,null,null,{"$f":"ROW()","v":92},null,1956,1363674000]
[null,{"$f":"CONCATENATE(\"Total bus trips in Row \",O83, \" less bus trips that involve transfers in Rows \",O84, \" and \",O85, \".\")","v":"Total bus trips in Row 83 less bus trips that involve transfers in Rows 84 and 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93},null,1957,1339380000]
[null,"Pure bus journeys",null,null,null,null,null,{"$f":"H92+H88","v":1450000},null,null,null,null,null,null,{"$f":"ROW()","v":94},null,1958,1322975000]
[null,{"$f":"CONCATENATE(\"Sum of bus trips w/o transfers in Row \",O92, \" and bus journeys w/ transfers in Row \",O90, \".\")","v":"Sum of bus trips w/o transfers in Row 92 and bus journeys w/ transfers in Row 90."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95},null,1959,1328958000]
[null,"Pure subway trips (no transfers)",null,null,null,null,null,{"$f":"H82-H84","v":3500000},null,null,null,null,null,null,{"$f":"ROW()","v":96},null,1960,1348921000]
[null,{"$f":"CONCATENATE(\"Row \",O82, \" less Row \",O84, \".\")","v":"Row 82 less Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97},null,1961,1359915000]
[null,"Share of transfers allocated to subway system",null,null,null,null,null,{"$f":"H82/($H$82+$H$83)","v":0.64516129032258063},null,null,null,null,null,null,{"$f":"ROW()","v":98},null,1962,1383517000]
[null,"Share of subway-bus transfers allocated to bus system",null,null,null,null,null,{"$f":"H83/($H$82+$H$83)","v":0.35483870967741937},null,null,null,null,null,null,{"$f":"ROW()","v":99},null,1963,1356817000]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O82, \" or \",O83, \" to sum of those rows; reflects Komanoff assumption that allocations are proportional to respective number of unlinked trips.\")","v":"Ratio of Row 82 or 83 to sum of those rows; reflects Komanoff assumption that allocations are proportional to respective number of unlinked trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100},null,1964,1383225000]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101},null,1965,1353193000]
[null,"Subway trips, with transfers allocated (rounded)",null,null,null,null,null,{"$f":"ROUND(H96+H98*H84,-3)","v":3823000},null,null,null,null,null,null,{"$f":"ROW()","v":102},null,1966,1260583000,"1966-07-05",0.2]
[null,{"$f":"CONCATENATE(\"Row \",O92, \" plus Row \",O98, \" percent times Row \",O84, \" subway-bus transfers.\")","v":"Row 92 plus Row 98 percent times Row 84 subway-bus transfers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103},null,1967,1302572000]
[null,"Bus trips, with transfers allocated (rounded)",null,null,null,null,null,{"$f":"ROUND(H94+H99*H84,-3)","v":1627000},null,null,null,null,null,null,{"$f":"ROW()","v":104},null,1968,1311668000]
[null,{"$f":"CONCATENATE(\"Row \",O96,\" plus half of Row \",$O$84,\"\")","v":"Row 96 plus half of Row 84"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105},null,1969,1343270000]
[null,"Bus trips with no subway component",null,null,null,null,null,{"$f":"H83-H84","v":1700000},null,null,null,null,null,null,{"$f":"ROW()","v":106},null,1970,1257569124,"1970-01-01",0.3]
[null,{"$f":"CONCATENATE(\"Row \",O83, \" less Row \",O84, \".\")","v":"Row 83 less Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107},null,1971,1196875980]
[null,"% trips thru a subway turnstile that are allocable to subways",null,null,null,null,"Subways",{"$f":"H102/H82","v":0.95574999999999999},"These %'s will be used in other worksheets to \"normalize\" subway & bus ridership counts.",null,null,null,null,null,{"$f":"ROW()","v":108},null,1972,1145128739,"1972-01-01",0.35]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O102, \" to Row \",O82, \".\")","v":"Ratio of Row 102 to Row 82."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109},null,1973,1101597734]
[null,"% trips thru a bus \"turnstile\" that are allocable to buses ",null,null,null,null,"Buses",{"$f":"H104/H83","v":0.73954545454545451},null,null,null,null,null,null,{"$f":"ROW()","v":110},null,1974,1099786500]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O104, \" to Row \",O83, \".\")","v":"Ratio of Row 104 to Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111},null,1975,1053932743,"1975-09-01",0.5]
[null,"% bus trips w/ no subway component",null,null,null,null,null,{"$f":"H106/H83","v":0.77272727272727271},null,null,null,null,null,null,{"$f":"ROW()","v":112},null,1976,1010496909]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O106, \" to Row \",O83, \".\")","v":"Ratio of Row 106 to Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113},null,1977,997773441]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114},null,1978,1041628298]
[null,"E. Student Discounts",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115},null,1979,1076540944]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116},null,1980,1009332713,"1980-06-29",0.6]
[null,"Helpful Web pages from NYC Dept of Education:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117},null,1981,1011345460,"1981-07-04",0.75]
[null,"Pupil Transportation: <http://schools.nyc.gov/Offices/Transportation/default.htm>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118},null,1982,989091943]
[null,"Student Metrocards: <http://schools.nyc.gov/NR/exeres/0D2F636B-1214-47D2-835B-F1D600BBF4C4,frameless.htm?NRMODE=Published>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119},null,1983,1005343639]
[null,"Services and Eligibility: <http://schools.nyc.gov/Offices/Transportation/ServicesandEligibility/default.htm>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120},null,1984,997025422,"1984-01-01",0.9]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121},null,1985,1010210607]
[null,"F. More Detailed Estimates of Transit Speeds",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122},null,1986,1030385208,"1986-01-01",1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123},null,1987,1058005483]
[null,null,null,null,null,null,null,null,{"$f":"I289","v":"Bus"},{"$f":"J289","v":"Subway"},null,null,null,null,{"$f":"ROW()","v":124},null,1988,1074200253]
[null,"Average transit-vehicle speed, mph",null,null,null,null,null,null,{"$f":"I307","v":6.7046859337314801},{"$f":"J307","v":17.317683653618548},null,null,null,null,{"$f":"ROW()","v":125},null,1989,1073179880]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O307, \".\")","v":"Copied from Row 307."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126},null,1990,1028305701,"1990-01-01",1.1499999999999999]
[null,"Estimated percent by which speed for select/express service exceeds average",null,null,null,null,null,null,null,0.2,null,null,null,null,{"$f":"ROW()","v":127},null,1991,995227533.9288826]
[null,"Subway % is Komanoff estimate. Would be higher but for fact that baseline average includes express service.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128},null,1992,996701755.8330915,"1990-01-01",1.25]
[null,"Estimated speed for select/express service, mph",null,null,null,null,null,null,{"$f":"I125*(1+I127)","v":6.7046859337314801},{"$f":"J125*(1+J127)","v":20.781220384342259},null,null,null,null,{"$f":"ROW()","v":129},null,1993,1029765350.3474709]
[null,{"$f":"CONCATENATE(\"Product of Row \",O125, \" and one plus Row \",O127, \".\")","v":"Product of Row 125 and one plus Row 127."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130},null,1994,1080757098.2835507]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131},null,1995,1093029230.7167833,"1995-11-12",1.5]
[null,"G. Capital",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132},null,1996,1110025586.9251299]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133},null,1997,1129514463.5657144]
[null,"This section distills the quantitative relationship between increased subway-system investments and decreased subway trip times -- the idea being that investments in subway train equipment and system reliability, scheduling and deployment will bring about reductions in passengers' subway trip travel times.",null,null,null,null,null,null,null,"The worksheet tab CBTC (Communications-Based Train Control) derives a numerical relationship between increased investment in CBTC and shortened subway trip durations.",null,null,null,null,{"$f":"ROW()","v":134},null,1998,1199419349.6965241,"1998-07-04",null,"(unlimited Metrocards; $63 for 30-day)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135},null,1999,1283081633.0799999]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136},null,2000,1381078912.6974602]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},null,2001,1405300386.4199998]
[null,"The objective is to create a feedback loop by which investing part or all of a new revenue stream from congestion pricing (or other source) of $100 million a year (say) in transit, rather than applying it to reducing fares, could achieve quantifiable benefits, i.e., faster trips which would materialize (via transit time-elasticity) as greater use of subways, higher transit revenues, reduced auto use, and improved vehicle speeds.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"The relationship draws on the actual costs of the first two installations of CBTC -- on the Canarsie Line (L train) and Flushing Line (7 train). Expressed in constant 2019 dollars, \" & \"the average cost per mile of the two installations was $\",ROUND(CBTC!K28/1000000,1), \" million.\")","v":"The relationship draws on the actual costs of the first two installations of CBTC -- on the Canarsie Line (L train) and Flushing Line (7 train). Expressed in constant 2019 dollars, the average cost per mile of the two installations was $47.6 million."},null,null,null,null,{"$f":"ROW()","v":138},null,2002,1413177942.8599999]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139},null,2003,1384068942.7111242,"2003-05-04",2,"30-day: $70"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140},null,2004,1426040136.0593827]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141},null,2005,1449109241.7118843,"2005-02-27",null,"30-day: $76"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142},null,2006,1498915983.5423396]
[null,"Until March 2019, the relationship was based on data in the MTA's Jan. 27, 2010 report, \"2010 NYC Transit Service Reductions,\" formerly available at <http://www.mta.info/mta/news/books/pdf/100125_1031_service2010-nyct.pdf>, but now apparently withdrawn. This 26 MB pdf itemized dozens of proposed subway and bus service cuts. For two measures, the MTA estimated lengthened trip durations and annual budgetary savings. These are summarized below. Note that a newer, extant link, http://www.mta.info/nyct/service/ServiceReduction/part1.htm, provides same figures.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"In the same tab (CBTC), we estimate that installation of CBTC will cut the total duration of subway trips on that line by an average of \",-ROUND(100*CBTC!J173,1), \" percent. That estimate takes into account not just higher moving speeds during peak hours but shorter dwell times due to reduced crowding in cars and on platforms arising from increased train frequencies.\")","v":"In the same tab (CBTC), we estimate that installation of CBTC will cut the total duration of subway trips on that line by an average of 20.5 percent. That estimate takes into account not just higher moving speeds during peak hours but shorter dwell times due to reduced crowding in cars and on platforms arising from increased train frequencies."},null,null,null,null,{"$f":"ROW()","v":143},null,2007,1562515065.045712]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144},null,2008,1623881369.1417129,"2008-03-02",null,"30-day: $81",null,"Ridership growth percentages"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145},null,2009,1579866599.7606912,"2009-06-28",2.25,null,null,"Annual","5-y annual","5-y month",null,"NYC Population data, as of July 1 for each year shown"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146},null,2010,1604198017.4902954,"2010-12-30",null,"30-day: $104",null,{"$f":"R146/R145-1","v":1.540093178328461E-2},null,null,null,8175133]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147},null,2011,1640434672.1593199,null,null,null,null,{"$f":"R147/R146-1","v":2.2588641971840406E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148},null,2012,1654582265.1466668,null,null,null,null,{"$f":"R148/R147-1","v":8.6242952721331534E-3}]
[null,{"$f":"CONCATENATE(\"The takeaway from these numbers was that the MTA evidently was willing to lengthen subway trip durations by \",ROUND(100*H184,1),\"-\",ROUND(100*G184,1),\"% to save $100 million a year in operating costs. (These percentages were extrapolated or prorated \" & \"from the much smaller savings -- less than $6 million -- for the actual measures shown.).\")","v":"The takeaway from these numbers was that the MTA evidently was willing to lengthen subway trip durations by 3.1-4.4% to save $100 million a year in operating costs. (These percentages were extrapolated or prorated from the much smaller savings -- less than $6 million -- for the actual measures shown.)."},null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Mashing up the various numbers -- and, yes, there are a bunch of them -- I estimate that each additional $1 billion invested in CBTC installs will reduce *system-average* subway travel times an average of \",ROUND(100*CBTC!L205,2), \" percent.\")","v":"Mashing up the various numbers -- and, yes, there are a bunch of them -- I estimate that each additional $1 billion invested in CBTC installs will reduce *system-average* subway travel times an average of 0.64 percent."},null,null,null,null,{"$f":"ROW()","v":149},null,2013,1707555713.8698413,"2013-03-01",2.5,"30-day: $112",null,{"$f":"R149/R148-1","v":3.2016207256082785E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150},null,2014,1751287621.4881294,null,null,null,null,{"$f":"R150/R149-1","v":2.5610823273917172E-2},{"$f":"(R150/R145)^(1/5)-1","v":2.0815867459273996E-2},{"$f":"(1+X150)^(1/12)-1","v":1.7183227632702192E-3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},null,2015,1762565419,"2015-03-01",2.75]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152},null,2016,1756814800,null,null,null,null,null,null,null,null,8615426]
[null,{"$f":"CONCATENATE(\"This formulation is now vestigial / obsolete. It has been replaced by the CBTC-based quantification shown in Rows \",O134, \"-\",O155, \", Columns J through N.\")","v":"This formulation is now vestigial / obsolete. It has been replaced by the CBTC-based quantification shown in Rows 134-155, Columns J through N."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153},null,2017,1727366607,null,null,null,null,null,null,null,null,8622698]
[null,null,null,null,null,null,null,null,null,"That is not quite the final metric, however, since we wish to know the extent to which additional investment of $1 billion per year will reduce average subway travel times.",null,null,null,null,{"$f":"ROW()","v":154},null,2018,{"$f":"Subways!N11*1000000","v":1691708000},null,null,null,null,null,null,null,null,"http://www1.nyc.gov/site/planning/data-maps/nyc-population/current-future-populations.page"]
[null,null,null,null,null,null,null,null,null,"$1 billion per year will reduce average subway travel times.",null,null,null,null,{"$f":"ROW()","v":155},null,null,null,null,null,"30-day: $116.50"]
[null," V E S T I G I A L   M A T E R I A L",null,null,null,null,"Reduce Weekend Train Frequencies to Accommodate Construction Work","Revise Off-Pk Service Levels: Change Max. Loading Guideline from Zero to 10-18 Standees per Car",null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Using the rule of thumb that a revenue stream of $1 billion per year can support $\",CBTC!L207, \" billion in capital investment, we multiply the figure at the end of the text block in Row \",O152, \" by \",CBTC!L207, \" to conclude that a new revenue stream of $1 billion per year will reduce average subway travel times by \",ROUND(100*CBTC!L209,2), \"%.\")","v":"Using the rule of thumb that a revenue stream of $1 billion per year can support $15 billion in capital investment, we multiply the figure at the end of the text block in Row 152 by 15 to conclude that a new revenue stream of $1 billion per year will reduce average subway travel times by 9.56%."},null,null,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,"$1 billion per year will reduce average subway travel times.",null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161},null,"Ridership"]
[null,"Description of proposed service cutback",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162},null,"Above data through 2010 were provided to C.K. on 26-Oct-2015 by Robert Hickey, Unit Chief, Revenue Analysis, Office Of Management and Budget, MTA New York City Transit."]
[null,"Page in MTA report (see citation above) where cutback is discussed",null,null,null,null,3,4,null,{"$f":"CONCATENATE(\"(Interestingly, that figure closely matches the previous coefficient for translating billion-dollar annual revenue streams to reduced subway travel time durations, which was \",ROUND(100*H234,2),\"%.)\")","v":"(Interestingly, that figure closely matches the previous coefficient for translating billion-dollar annual revenue streams to reduced subway travel time durations, which was 11.35%.)"},null,null,null,null,{"$f":"ROW()","v":163},null,"Data for 2012-2017 are from MTA Wev page, \"Introduction to Subway Ridership,\" available at http://web.mta.info/nyct/facts/ridership/."]
[null,"Weekdays 1",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164},null,"Data for 2012-2015 are same from both sources. 2009-2014 data match the 2009-2014 systemwide subway data in http://web.mta.info/nyct/facts/ridership/ridership_sub_annual.htm (scroll to bottom), downloaded 14-Oct-2015."]
[null,"# passengers affected (per MTA)",null,null,null,null,null,160000,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"# minutes / passenger (per MTA)",null,null,null,null,null,0.9,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Calculated hours per year",null,null,null,null,{"$f":"(G165*G166*wkday_per_yr/60)","v":0},{"$f":"(H165*H166*wkday_per_yr/60)","v":600000},null,"It is possible, indeed likely, that not every dollar of new revenue spent on transit will go to CBTC. We therefore specify a factor denoting the expected lesser efficacy at reducing subway trip durations, for non-CBTC transit investments.",null,null,null,null,{"$f":"ROW()","v":167},null,"Fare"]
[null,"Weekdays 2",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168},null,"From Mashable, \"1904 to today: See how New York City subway fare has climbed over 111 years ,\" March 22, 2015, by Yohana Desta, http://mashable.com/2015/03/22/new-york-city-subway-fare/#pyCXTgS6RPqm."]
[null,"# passengers affected (per MTA)",null,null,null,null,null,140000,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"# minutes / passenger (per MTA)",null,null,null,null,null,0.75,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Calculated hours per year",null,null,null,null,{"$f":"(G169*G170*wkday_per_yr/60)","v":0},{"$f":"(H169*H170*wkday_per_yr/60)","v":437500},null,"Per-dollar duration-shortening impact of non-CBTC transit investments, relative to CBTC investments",null,null,0.5,null,{"$f":"ROW()","v":171}]
[null,"Saturdays",null,null,null,null,null,null,null,null,null,null,"Komanoff assumption",null,{"$f":"ROW()","v":172}]
[null,"# passengers affected (per MTA)",null,null,null,null,1600000,155000,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"# minutes / passenger (per MTA)",null,null,null,null,1,0.5,null,{"$f":"CONCATENATE(\"Percent figure in Cell M\",O171, \" will be fed into cells in BTA that translate transit investments into quicker subway trips.\")","v":"Percent figure in Cell M171 will be fed into cells in BTA that translate transit investments into quicker subway trips."},null,null,null,null,{"$f":"ROW()","v":174}]
[null,"Calculated hours per year",null,null,null,null,{"$f":"(G173*G174*52/60)","v":1386666.6666666667},{"$f":"(H173*H174*52/60)","v":67166.666666666672},null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"Sundays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"# passengers affected (per MTA)",null,null,null,null,1600000,130000,null,"Annual amount invested into CBTC ($ millions)",null,null,{"$f":"'Policy Levers'!K198*IF('Policy Levers'!K191=\"YES\",1,0)","v":1000},null,{"$f":"ROW()","v":177}]
[null,"# minutes / passenger (per MTA)",null,null,null,null,1,0.8,null,"Recapitulated from pertinent cells in 'Policy Levers' tab.",null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Calculated hours per year",null,null,null,null,{"$f":"(G177*G178*(wkend_per_yr-52)/60)","v":1680000},{"$f":"(H177*H178*(wkend_per_yr-52)/60)","v":109200},null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Grand total hours",null,{"$f":"CONCATENATE(\"(Sum of Rows \",O168, \", \",O172, \", \",O176, \" and \",O180, \".)\")","v":"(Sum of Rows 168, 172, 176 and 180.)"},null,null,{"$f":"G167+G171+G175+G179","v":3066666.666666667},{"$f":"H167+H171+H175+H179","v":1213866.6666666667},null,"Annual $ invested in non-CBTC transit ($ millions)",null,null,{"$f":"('Policy Levers'!K195-'Policy Levers'!K198)*IF('Policy Levers'!K191=\"YES\",1,0)","v":300},null,{"$f":"ROW()","v":180}]
[null,"Net Annual Savings (per MTA)",null,null,null,null,5500000,3100000,null,{"$f":"CONCATENATE(\"Difference btw Rows \",'Policy Levers'!O198,\" & \",'Policy Levers'!O195, \" in 'Policy Levers' tab, multiplied by IF statement on Row \",'Policy Levers'!O191, \" of same tab.\")","v":"Difference btw Rows 198 & 195 in 'Policy Levers' tab, multiplied by IF statement on Row 191 of same tab."},null,null,null,null,{"$f":"ROW()","v":181}]
[null,"% Lengthening of Trip Durations, avg'd across entire subway system",null,null,null,null,{"$f":"G180/$H$191","v":2.4170181194915962E-3},{"$f":"H180/$H$191","v":9.5671882434136921E-4},null,null,null,null,null,null,{"$f":"ROW()","v":182},"NY Daily News, Oct. 16, 2011: \"MTA riders suffer as breakdowns - and cutbacks - increase for aging bus fleet\" <http://bit.ly/xtenLe>"]
[null,{"$f":"CONCATENATE(\"(Row \",O181, \" figures, divided by Row \",O191, \".)\")","v":"(Row 181 figures, divided by Row 191.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"% Lengthening Durations per $100 Million dis-invested",null,null,null,null,{"$f":"G182*100000000/G181","v":4.3945783990756299E-2},{"$f":"H182*100000000/H181","v":3.0861897559399006E-2},null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,{"$f":"CONCATENATE(\"(Row \",O185, \" figures, multiplied by ratio of $100 million to Row \",O182, \" figures.)\")","v":"(Row 185 figures, multiplied by ratio of $100 million to Row 182 figures.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185},"Metropolitan Transportation Authority buses have been breaking down more frequently, traveling far fewer miles on average before malfunctions, according to MTA statistics. NYC Transit division buses covered on average 3,377 miles of asphalt before breaking down in the year ending in July - 13% fewer miles than in the prior year. Buses in the MTA division, formerly the private lines, traveled even fewer miles before problems - on average 3,345. That's a slight dip from the prior period. <http://bit.ly/xtenLe>"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,null,"Total NYC Transit Subway Trips per year",null,null,null,null,{"$f":"Subways!N11*1000000","v":1691708000},null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,{"$f":"CONCATENATE(\"Projected 2015 Turnstile count, from 'Subways' worksheet, Row \",Subways!O13, \".\")","v":"Projected 2015 Turnstile count, from 'Subways' worksheet, Row 13."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,"Duration of a typical subway trip, hours",null,null,null,null,{"$f":"3/4","v":0.75},null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,"(Placeholder value; intended to include wait time)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190},"Graphic accompanying article shows",null,null,null,null,2011,2010]
[null,null,"Total Hours, NYC Transit Subway Trips per year",null,null,null,null,{"$f":"H187*H189","v":1268781000},null,null,null,null,null,null,{"$f":"ROW()","v":191},"Average number of miles between breakdowns",null,null,null,null,3377,3874]
[null,null,"Product of two previous rows",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192},"Number of buses 12 years or older",null,null,null,null,1450,600]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Mean of the two % values above the box:",null,null,null,null,null,{"$f":"AVERAGE(G184:H184)","v":3.7403840775077649E-2},null,null,null,null,null,null,{"$f":"ROW()","v":194},"\"Between now and the end of next year, the MTA will be receiving deliveries of all types of buses in our fleet,\" [MTA spokesman Charles] Seaton said. \"We expect this to bring an improvement.\""]
[null,"(Denotes empirically-based estimate of the extent to which subway service would be worsened (trips prolonged) in order to save $100 million a year in operating expenses.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197},"NY Daily News, July 15, 2011, \"MTA slashes trains on 1, 6 lines with no warning, claims 'impact is small' with 'multiple benefits',\" <http://bit.ly/ArBeKi>"]
[null,"Factor by which we have shrunk this percentage for conservatism (to \"correct\" for extrapolating from single-digit millions to $100 million).",null,null,null,null,null,2,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Komanoff figure. Figure greater than one indicates conservative approach was used.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200},"The MTA has quietly reduced the number of trains running on two of its busiest - and most crowded - subway lines, the Daily News has learned."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Est'd % change in subway trip durations per first $100 million/yr in investment (abs value):",null,null,null,null,null,{"$f":"H194/H198","v":1.8701920387538824E-2},null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"Row \",O194, \" divided by Row \",O198, \".\")","v":"Row 194 divided by Row 198."},null,null,null,null,null,"In Jan 2010 dollars (without inflation adjustment)",null,null,null,null,null,null,{"$f":"ROW()","v":203},"The Metropolitan Transportation Authority scaled back both rush-hour and off-peak service on the Nos. 6 and 1 lines on July 1, without public discussion or debate as typically occurs with service cuts."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Inflation adjustment",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"Reference date for cost figures above",null,null,null,null,null,"2010-01-01",null,null,null,null,null,null,{"$f":"ROW()","v":206},"The authority said the changes were seasonal schedule adjustments because ridership is lighter during the summer, a spokeswoman said. But riders expressed amazement the MTA would reduce service as trains - particularly at rush hour - remain packed. Under the schedule change, the number of rush-hour trains on the No. 6 line have dropped from 23 to 21. Off peak, there are 13 trains per hour, down from 15."]
[null,{"$f":"CONCATENATE(\"Underlying NYCT report was dated Jan. 2010 (see Row \",O143, \").\")","v":"Underlying NYCT report was dated Jan. 2010 (see Row 143)."}]
[null,"Reference date for expenditures from traffic pricing",null,null,null,null,null,"2022-01-01",null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"Komanoff estimate, based on assumed Jan. 2010 start for cordon tolling"]
[null,"Interval (years)",null,null,null,null,null,{"$f":"ROUND((H208-H206)/365.25,0)","v":12},null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O208, \" and \",O206, \".\")","v":"Difference between Rows 208 and 206."}]
[null,"Annual wage and materials inflation for transit improvements (not megaprojects)",null,null,null,null,null,0.03,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Komanoff assumption."]
[null,"Erosion of \"payoff\" (reduced trip duration) per $ expended, between start and end reference dates.",null,null,null,null,null,{"$f":"1/(1+H212)^H210","v":0.70137988019297326},null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Calculated as reciprocal of sum of one + Row \",O212, \", raised to the Row \",O210, \" power.\")","v":"Calculated as reciprocal of sum of one + Row 212, raised to the Row 210 power."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215},"\"Whoever created the [new] schedule should be forced to ride the 6 train all day,\" rider Mary Dohnalek complained in a letter to NYC Transit that she provided The News."]
[null,"Est'd % change in subway trip durations per first $100 million/yr in investment (abs value):",null,null,null,null,null,{"$f":"H202*H214","v":1.3117150680790505E-2},null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Row \",O204, \" divided by Row \",O210, \".\")","v":"Row 204 divided by Row 210."},null,null,null,null,null,"In Jan 2022 dollars",null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218},"On the No. 1 line, the authority now runs 16 trains during the morning rush hours, down from 18. Off-peak, it was running 10 to 12 trains an hour but now operates between nine and 11."]
[null,"Percent (not percentage point) attrition in above rate per each additional $100 million:",null,null,null,null,null,0.05,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Komanoff est. Captures diminishing returns in translating transit investment to improved travel time. Mathematical form is such that if first $100 million yields 2% improvement in travel times, second $100 million yields 2% x .925% or 1.85%, third yields 1.85% x .925% or 1.71%, etc.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221},"A morning commuter should see a No.1 train every 3.8 minutes instead of every 3.3 minutes under the previous schedule, the authority said."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Revenues invested in transit capital improvements under our road pricing scenario",null,null,null,null,null,{"$f":"'Policy Levers'!K195*IF('Policy Levers'!K191=\"YES\",1,0)*1000000","v":1300000000},null,null,null,null,null,null,{"$f":"ROW()","v":224},"MTA spokeswoman Deirdre Parker said the schedule changes were a pilot program and the MTA may make further adjustments. She said the new schedules slightly increased customers' waits but downplayed the inconvenience."]
[null,{"$f":"CONCATENATE(\"Reflects scenario selected in 'Results' worksheet. Automatically imported from 'Policy Levers' worksheet, Cell K\",'Policy Levers'!O195, \".\")","v":"Reflects scenario selected in 'Results' worksheet. Automatically imported from 'Policy Levers' worksheet, Cell K195."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Share of those revenues allocated to commuter rail",null,null,null,null,null,{"$f":"IF(Select_Plan_Box=\"Fix NYC medium plan\",0,15%)","v":0.15},null,null,null,null,null,null,{"$f":"ROW()","v":227},"\"Both of these routes have very frequent service, so the customer impact is small and there are multiple benefits, including operating more cost-effectively, reducing our energy use, which has an added environmental benefit,\" Parker said."]
[null,"Komanoff assumption. Note that some capital could/would be allocated to bus service, but for simplicity we assume that subways receive all capital investment not directed to commuter rail.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,"Revenues invested in subways under our pricing scenario (rounded up to nearest $5M)",null,null,null,null,null,{"$f":"ROUNDUP((1-H227)*H224*2,-7)/2","v":1105000000},null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,{"$f":"CONCATENATE(\"Product of complement of Row \",O227, \" and Row \",O224, \".\")","v":"Product of complement of Row 227 and Row 224."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Estimated eventual change in avg subway trip times due to transit investment (abs value):",null,null,null,null,null,{"$f":"ABS(IF(H231<100000000,H231/100000000*G245,(VLOOKUP(ROUNDDOWN(H231/100000000,0),F245:H269,3)+(H231/100000000-ROUNDDOWN(H231/100000000,0))*VLOOKUP(ROUNDDOWN(H231/100000000,0)+1,F245:H269,2))))","v":0.11349533508893461},null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Calculated from Lookup table below. Second part of formula (after plus sign) prorates gain from \"last\" investment under $100 million. IF statement ensures Lookup doesn't search for zero.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Est'd eventual change in avg subway trip times due to transit invstmnt (adj for sign)",null,null,null,null,null,{"$f":"IF(H231>=0,-H234,H234)","v":-0.11349533508893461},null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"Pivots off actual value, including 'sign', in Policy Levers worksheet, Cell J\",'Policy Levers'!O195, \". Positive sign denotes lengthened (worsened) service, negative sign denotes shortened (improved) service.\")","v":"Pivots off actual value, including 'sign', in Policy Levers worksheet, Cell J195. Positive sign denotes lengthened (worsened) service, negative sign denotes shortened (improved) service."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,"Hundreds of millions of dollars","Lookup table to calc. investment-duration relationship",null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,"That year","Cumulative",null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,1,{"$f":"H216","v":1.3117150680790505E-2},{"$f":"G245","v":1.3117150680790505E-2},null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,null,null,null,null,{"$f":"F245+1","v":2},{"$f":"G245*(1-$H$219)","v":1.2461293146750979E-2},{"$f":"H245+G246","v":2.5578443827541486E-2},null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,null,null,null,null,3,1.1838228489413429E-2,3.7416672316954919E-2,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,4,1.1246317064942757E-2,4.8662989381897677E-2,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,5,1.0684001211695618E-2,5.9346990593593295E-2,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,6,1.0149801151110837E-2,6.9496791744704134E-2,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,7,9.6423110935552944E-3,7.9139102838259423E-2,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,8,9.1601955388775289E-3,8.8299298377136959E-2,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,null,null,null,null,9,8.7021857619336528E-3,9.7001484139070615E-2,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,null,null,null,null,10,8.2670764738369696E-3,0.10526856061290758,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,null,null,null,null,11,7.8537226501451205E-3,0.11312228326305271,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,null,null,null,null,12,7.4610365176378639E-3,0.12058331978069058,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,13,7.0879846917559705E-3,0.12767130447244654,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,null,null,null,null,14,6.7335854571681716E-3,0.13440488992961472,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,null,null,null,null,15,6.3969061843097627E-3,0.14080179611392449,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,null,null,null,null,16,6.0770608750942744E-3,0.14687885698901876,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,17,5.7732078313395604E-3,0.15265206482035831,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,18,5.4845474397725823E-3,0.1581366122601309,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,null,null,null,null,19,5.210320067783953E-3,0.16334693232791486,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,null,null,null,null,20,4.9498040643947555E-3,0.16829673639230963,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,null,null,null,null,21,4.7023138611750172E-3,0.17299905025348464,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,null,null,null,null,22,4.467198168116266E-3,0.17746624842160091,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,null,null,null,null,23,4.2438382597104526E-3,0.18171008668131136,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,null,null,null,null,24,4.0316463467249299E-3,0.18574173302803629,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,null,null,null,null,25,3.8300640293886831E-3,0.18957179705742497,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"Number of years over which investment is applied (i.e., years required to reap full benefit):",null,null,null,null,null,5,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"We believe 5 (years) is a reasonable approximation, but we have inputted a value of 1 to show the full eventual benefit of these investments.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"H. Operating ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"This section establishes an approximate relationship between increased subway or bus operating expenditures and decreased trip times -- the idea being that increasing service reduces passengers' subway or bus trip travel times.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"1. Allocated Cost of One Hour of Bus or Subway Service (all figures are for 2009 unless noted)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"Some data from \"Operating Expenses, Service Supplied and Consumed.\" TS(Time Series) 2.1. National Transit Database, <http://www.ntdprogram.gov/ntdprogram/pubs/HistoricalData/TS2.1TimeSeriesOpExpSvcModeTOS.exe>. Referred to here as OESSAC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"Other data from From: \"Table 13: Operating Expenses by Mode, Type of Service and Object Class.\" Transit Expenses. 2009 National Transit Database <http://www.ntdprogram.gov/ntdprogram/pubs/dt/2008/excel/T13_Op_Exp_Mode_Class_2008.exe>. Referred to here as OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,null,null,null,null,null,null,null,null,null,"Per Vehicle-Hour Calculations",null,"Per Vehicle-Mile Calculations",null,{"$f":"ROW()","v":287}]
[null,null,null,null,null,null,null,null,"Aggregate Data",null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,null,null,null,null,null,null,null,"Bus","Subway","Bus","Subway","Bus","Subway",{"$f":"ROW()","v":289},null,"Time-Series Data on NYC Subway Vehicle Hours and Miles"]
[null,"Total New York City Route Miles",null,null,null,null,null,null,2070,659,null,null,null,null,{"$f":"ROW()","v":290},null,null,"Revenue Vehicle Hours","Revenue Vehicle Miles","Avg transit-veh speed, mph"]
[null,"Sum of distance covered on all bus routes (buses) and sum of all tracks used by subways in service. From: \"The MTA Network.\" Updated: Dec. 31, 2009. Available at <http://www.mta.info/mta/network.htm>. Note: ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292},null,null,null,null,null,"Source"]
[null,"Total New York City Routes",null,null,null,null,null,null,245,26,null,null,null,null,{"$f":"ROW()","v":293},null,1996,16408598,299291341,{"$f":"S293/R293","v":18.23990940603213},"1996 National Transit Database, file P2008.PDF, accessed from file, 1996-Top-Complete.exe, available at http://www.ntdprogram.gov/ntdprogram/archives.htm"]
[null,"Number of distinct bus and subway services in operation. Source: same as for Route Miles, directly above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294},null,2004,18601219,339818776,18.268629383912959,"2004 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2004/2004TopSet.pdf"]
[null,"Average Route Length, miles",null,null,null,null,null,null,{"$f":"I290/I293","v":8.4489795918367339},{"$f":"J290/J293","v":25.346153846153847},null,null,null,null,{"$f":"ROW()","v":295},null,2005,18383631,335689529,18.26024080879343,"2005 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2005/2005-Top-Complete.pdf"]
[null,{"$f":"CONCATENATE(\"Ratio of route miles in Row \",O290, \" to routes in Row \",O293, \".\")","v":"Ratio of route miles in Row 290 to routes in Row 293."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296},null,2006,18539216,339374918,18.305785854159097,"2006 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2006/2006-Top50-Complete-Set.pdf"]
[null,"Revenue Vehicle Hours, 2016",null,null,null,null,null,null,{"$f":"12272959+458335","v":12731294},{"$f":"R301","v":19040477},null,null,null,null,{"$f":"ROW()","v":297},null,2007,18528576,338410914,18.264269957928768,"2007 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2007/Transit_Profiles_Top%2050%20Agencies-Complete.pdf"]
[null,"Total hours that buses or subway cars spent on routes collecting, moving or dropping off passengers. Source: OESSAC, 2016. Bus figures are sum of \"Bus\" and \"Bus Rapid Transit.\" Subway figures are from columns at right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298},null,2008,19032474,347416429,18.253876453476305,"2008 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2008/Transit_Profiles_Top%2050%20Agencies-Complete.pdf"]
[null,"Revenue Vehicle Miles, 2016",null,null,null,null,null,null,{"$f":"86863364+2988560","v":89851924},{"$f":"S301","v":347091534},null,null,null,null,{"$f":"ROW()","v":299},null,2009,19320766,352524575,18.245890199177403,"2009 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2009/Transit_Profiles_Top%2050%20Agencies-Complete.pdf"]
[null,"Total miles that buses or subway cars spent on routes collecting, moving or dropping off passengers. Source: OESSAC, 2016.  Bus figures are sum of \"Bus\" and \"Bus Rapid Transit.\" Subway figures are from columns at right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300},null,2010,19224269,350229549,18.218094482552235,"2010 National Transit Database, http://www.ntdprogram.gov/ntdprogram/pubs/top_profiles/2010/Transit_Profiles_Top%2050%20Agencies-Complete.pdf"]
[null,"Average trip distance in miles",null,null,null,null,null,null,{"$f":"AVERAGE(3.52,3.74)","v":3.63},{"$f":"AVERAGE(7.61,7.94)","v":7.7750000000000004},null,null,null,null,{"$f":"ROW()","v":301},null,2016,19040477,347091534,18.229140688019527,"2016 National Transit Database, https://www.transit.dot.gov/sites/fta.dot.gov/files/transit_agency_profile_doc/2016/20008.pdf"]
[null,"Averages of census-derived home-to-work and work-to-home trips, as culled by Schaller, circa 2006-2007 and calc'd by Komanoff in 2007.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302},null,null,null,null,null,"[\"Originating\" document is https://www.transit.dot.gov/ntd/transit-agency-profiles/mta-new-york-city-transit.]"]
[null,"Average transit-vehicle speed, 2016",null,null,null,null,null,null,{"$f":"I299/I297","v":7.0575641407699798},{"$f":"J299/J297","v":18.229140688019527},null,null,null,null,{"$f":"ROW()","v":303}]
[null,{"$f":"CONCATENATE(\"Ratio of revenue miles in Row \",O299, \" to revenue hours in Row \",O297, \".\")","v":"Ratio of revenue miles in Row 299 to revenue hours in Row 297."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"Assumed speed degradation, 2016 to 2018",null,null,null,null,null,null,0.05,0.05,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"Komanoff estimates. Bus figure is intended to reflect worsened traffic congestion citywide. Subway figure is intended to reflect service degradation.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"Average transit-vehicle speed, 2018",null,null,null,null,null,null,{"$f":"I303*(1-I305)","v":6.7046859337314801},{"$f":"J303*(1-J305)","v":17.317683653618548},null,null,null,null,{"$f":"ROW()","v":307}]
[null,{"$f":"CONCATENATE(\"Row \",O303, \" multiplied by complement of Row \",O305, \".\")","v":"Row 303 multiplied by complement of Row 305."},null,null,null,null,null,null,null,null,"Figures below this row need updating w/ 2016 or later FTA reports.",null,null,null,{"$f":"ROW()","v":308}]
[null,"Vehicles Operated in Maximum Service",null,null,null,null,null,null,3924,5388,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"Maximum number of vehicles, buses and subway cars picking up and dropping off passengers at any given time. Source: OESSAC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"Revenue Hours per Vehicle (per year)",null,null,null,null,null,null,{"$f":"I297/I309","v":3244.4683995922528},{"$f":"J297/J309","v":3533.8672976985895},null,null,null,null,{"$f":"ROW()","v":311}]
[null,{"$f":"CONCATENATE(\"Ratio of revenue miles in Row \",O297, \" to vehicles in Row \",O309, \".\")","v":"Ratio of revenue miles in Row 297 to vehicles in Row 309."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,"Operator Salary and Wages",null,null,null,null,null,null,547024200,307171300,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Funds spent on personnel driving and operating buses and subways. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,"Other Salary",null,null,null,null,null,null,520727000,1528666200,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Salaries for all other persons assoc'd w/ providing service including schedulers, dispatchers, vehicle maintenance, fare collection, and track maintenance. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Komanoff note: Bus tire and tube cost in Row \",O327, \" implies $36,000 per vehicle per year, or $100 per day. If a bus tire costs $700 (?), then each bus would be receiving one tire change per week!\")","v":"Komanoff note: Bus tire and tube cost in Row 327 implies $36,000 per vehicle per year, or $100 per day. If a bus tire costs $700 (?), then each bus would be receiving one tire change per week!"},null,null,{"$f":"ROW()","v":316}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,"Fringe Benefits",null,null,null,null,null,null,852888700,1466412800,null,null,null,null,{"$f":"ROW()","v":318}]
[null,"All benefits in addition to wages including: retirement plans, pension plans, medical plans, dental plans, life insurance, short-term disability, unemployment insurance, workers' compensation insurance, sick leave, holiday leave, vacation (and other paid leave such as bereavement leave, jury duty), uniform and work clothing allowances, and tools allowances for mechanics. Definition is from: \"2010 Annual Reporting Manual of the National Transit Database: Financial Module,\" p 133, available at: <http://www.ntdprogram.gov/ntdprogram/pubs/ARM/2010/pdf/2010_Financial_Module.pdf>. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Total Payments to Operators",null,null,null,null,null,null,{"$f":"SUM(I313:I318)","v":1920639900},{"$f":"SUM(J313:J318)","v":3302250300},{"$f":"I323/I$297","v":150.85975549696676},{"$f":"J323/J$297","v":173.43317081814703},{"$f":"I323/I$299","v":21.375612390893266},{"$f":"J323/J$299","v":9.514061786364401},{"$f":"ROW()","v":323}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O313, \", \",O315, \", and \",O318,\".\")","v":"Sum of Rows 313, 315, and 318."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Fuel and Lube Costs",null,null,null,null,null,null,166354000,5765700,{"$f":"M325*I$307","v":12.41321581294093},{"$f":"N325*J$307","v":0.28767215233105764},{"$f":"I325/I$299","v":1.8514239049572272},{"$f":"J325/J$299","v":1.6611468258975168E-2},{"$f":"ROW()","v":325}]
[null,"Gasoline, diesel, propane, lubricating oil, transmission fluid, and grease for use in vehicles. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Tire and Tube Costs",null,null,null,null,null,null,{"$f":"141098.7*1000","v":141098700},{"$f":"215778.3*1000","v":215778300},{"$f":"M327*I$307","v":10.528683494387922},{"$f":"N327*J$307","v":10.765979497257341},{"$f":"I327/I$299","v":1.5703470078169945},{"$f":"J327/J$299","v":0.62167549151458124},{"$f":"ROW()","v":327}]
[null,"Lease payments or purchase costs of tires and tubes. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,"Casualty and Liability Insurance",null,null,null,null,null,null,{"$f":"31370.4*1000","v":31370400},{"$f":"47452.7*1000","v":47452700},{"$f":"I329/I$297","v":2.4640386122573243},{"$f":"J329/J$297","v":2.4922012195387753},{"$f":"K329/I307","v":0.36750992315101155},{"$f":"L329/J307","v":0.14391077175139569},{"$f":"ROW()","v":329}]
[null,"Insurance premiums as well as public liability and property damage settlement pay outs and recoveries. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,"Utilities",null,null,null,null,null,null,{"$f":"20898.8*1000","v":20898800},{"$f":"258282.8*1000","v":258282800},{"$f":"M331*I$307","v":1.5594534224093795},{"$f":"N331*J$307","v":12.886686609794488},{"$f":"I331/I$299","v":0.23259156921336488},{"$f":"J331/J$299","v":0.74413454290705916},{"$f":"ROW()","v":331}]
[null,"Payments to utility companies including propulsion power for electric vehicles, electric power for other uses, natural gas, other heating fuels, telephone, water, sewer, and garbage collection. Source: OEBMTOSAOC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Total Operating Cost (excludes capital amortization on vehicle purchases)",null,null,null,null,null,null,null,null,{"$f":"SUM(K323:K331)","v":177.82514683896233},{"$f":"SUM(L323:L331)","v":199.86571029706869},{"$f":"SUM(M323:M331)","v":25.397484796031865},{"$f":"SUM(N323:N331)","v":11.040394060796412},{"$f":"ROW()","v":334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Number of vehicle-hours that could be purchased for one million dollars",null,null,null,null,null,null,null,null,{"$f":"1000000/K334","v":5623.5016125452476},{"$f":"1000000/L334","v":5003.3594983034291},null,null,{"$f":"ROW()","v":336}]
[null,{"$f":"CONCATENATE(\"Calculated as $1,000,000 divided by hourly per-vehicle operating costs in Row \",O334, \".\")","v":"Calculated as $1,000,000 divided by hourly per-vehicle operating costs in Row 334."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,"Est'd % reduction in bus trip durations per first $50 million/yr in operating expenditures:",null,null,null,null,null,null,{"$f":"Buses!AD287","v":7.0890609581613882E-3},null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,{"$f":"CONCATENATE(\"From 'Buses' worksheet, Row \",Buses!O287, \". Estimated by distributing $50 million among the 20 most frequented bus lines.\")","v":"From 'Buses' worksheet, Row 287. Estimated by distributing $50 million among the 20 most frequented bus lines."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"Rate of Attrition of Effectiveness of Increased Expenditures, Relative to That for Capital:",null,null,null,null,null,null,1.2,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,"Komanoff est. Is intended to capture presumed steeper slope of diminishing returns for operating expenditures and bus sector, vis-à-vis capital investments and subway sector",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,"Percent (not percentage point) attrition in above rate per each additional $50 million:",null,null,null,null,null,null,{"$f":"IF(I358<0,-0.5*I342*H219,0.5*I342*H219)","v":0.03},null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,{"$f":"CONCATENATE(\"Calculated as one-half of Row \",O219, \" figure (since applies to each $50M rather than $100M), times Row \",O342, \" figure. Captures diminishing returns in translating transit spending to improved travel time. See Row \",O220, \" for elaboraiton.\")","v":"Calculated as one-half of Row 219 figure (since applies to each $50M rather than $100M), times Row 342 figure. Captures diminishing returns in translating transit spending to improved travel time. See Row 220 for elaboraiton."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Toll revenues spent on intra-city commuter rail, express buses & suburban bus service",null,null,null,null,null,null,{"$f":"'Policy Levers'!K201*1000000","v":60000000},null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,{"$f":"CONCATENATE(\"These funds would be spent for fare discounts or service improvements. Figure reflects scenario selected in 'Results' worksheet. Automatically imported from 'Policy Levers' worksheet, Cell K\",'Policy Levers'!O201, \".\")","v":"These funds would be spent for fare discounts or service improvements. Figure reflects scenario selected in 'Results' worksheet. Automatically imported from 'Policy Levers' worksheet, Cell K201."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Share allocable to service improvements that would shorten travel times",null,null,null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"Komanoff assumption. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"Toll revenues spent on transit service improvements under our road pricing plan",null,null,null,null,null,null,{"$f":"I355*I351","v":30000000},null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O355, \" and \",O351, \".\")","v":"Product of Rows 355 and 351."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Allocation of above spending to buses (balance is assumed allocated to subways)",null,null,null,null,null,null,1,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,"Komanoff assumption. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,null,null,null,null,null,null,null,"Bus",null,null,"Subway",null,null,{"$f":"ROW()","v":363}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,"Allocation of toll revenues betw bus and subway operations",null,null,null,null,null,null,{"$f":"IF(ABS(I358)<101,100,I361*I358)","v":30000000},null,null,{"$f":"IF(ABS(I358)<101,100,(1-I361)*I358)","v":0},null,null,{"$f":"ROW()","v":365}]
[null,{"$f":"CONCATENATE(\"Bus figure is product of total change in spending in Row \",O358, \" and % of that change spent on buses in Cell I\",O361, \". Subway figure is done likewise but uses complement of buses' %. Both have $100 'floor' to ensure its value is non-zero, to avoid possible mathematical singularity in a dependent cell.\")","v":"Bus figure is product of total change in spending in Row 358 and % of that change spent on buses in Cell I361. Subway figure is done likewise but uses complement of buses' %. Both have $100 'floor' to ensure its value is non-zero, to avoid possible mathematical singularity in a dependent cell."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369}]
[null,"Total operating expenses, 2012",null,null,null,null,null,null,2501969119,null,null,3744080311,null,null,{"$f":"ROW()","v":370}]
[null,"Source: \"MTA New York City Transit\" entries in National Transit Database - 2012, \"2012 Operating Expenses\" spreadsheet, Cells V1236 & V1231, accessed from Federal Transit Authority, http://www.ntdprogram.gov/ntdprogram/datbase/2012_database/NTDdatabase.htm",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":371}]
[null,null,null,null,null,null,null,null,"Meaning conveyed by ratio below is that a dollar of spending leverages a greater % reduction in average trip duration on buses than on subways.",null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,"Ratio, Subway operating expenses to Bus operating expenses",null,null,null,null,null,null,{"$f":"L370/I370","v":1.4964534464344041},null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,"Change in avg bus/subway trip times due to change in operational expendits (abs value)",null,null,null,null,null,null,{"$f":"IF(ABS(I365)<=50000000,ABS(I365/50000000*H389),(VLOOKUP(0.5*ROUNDUP(2*ABS(I365)/100000000,0),G387:I442,3)-(0.5*ROUNDUP(2*ABS(I365),-8)-ABS(I365))/50000000*(VLOOKUP(0.5*ROUNDUP(2*ABS(I365)/100000000,0),G387:I442,3)-VLOOKUP(0.5*ROUNDUP(2*ABS(I365)/100000000,0)-0.5,G387:I442,3))))","v":4.2534365748968326E-3},null,null,{"$f":"(I376*L365/I365)/I374","v":0},null,null,{"$f":"ROW()","v":376}]
[null,{"$f":"CONCATENATE(\"Bus figure is calculated from Lookup table below. Second part of formula (after plus sign) prorates gain from 'last' expenditure increment under $50 million. IF statement ensures Lookup doesn't search\" & \" for zero. Subway figure prorates bus figure by (i) ratio of system operating costs from Row \",O374, \" and (ii) ratio of subway spending to bus spending, both given in Row \",O365, \".\")","v":"Bus figure is calculated from Lookup table below. Second part of formula (after plus sign) prorates gain from 'last' expenditure increment under $50 million. IF statement ensures Lookup doesn't search for zero. Subway figure prorates bus figure by (i) ratio of system operating costs from Row 374 and (ii) ratio of subway spending to bus spending, both given in Row 365."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":377}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,"Change in avg bus trip times due to incrs'd operational expenditures, corrected:",null,null,null,null,null,null,{"$f":"IF($I358<0,I376,-I376)","v":-4.2534365748968326E-3},null,null,{"$f":"IF($I358<0,L376,-L376)","v":0},null,null,{"$f":"ROW()","v":381}]
[null,{"$f":"CONCATENATE(\"Corrects prelim result in Row \",O376, \" for 'sign', in event of negative value in Row \",O358, \" (Correction could have been built into Row \",O376, \" value, but complicated Lookup Table function used there makes it simpler to apply correction in separate step.)\")","v":"Corrects prelim result in Row 376 for 'sign', in event of negative value in Row 358 (Correction could have been built into Row 376 value, but complicated Lookup Table function used there makes it simpler to apply correction in separate step.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,null,null,null,null,null,null,"Lookup table to calculate expenditure-duration relationship",null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,null,null,null,null,null,"Hundreds of millions of dollars",null,null,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,null,null,null,null,null,null,"That year","Cumulative",null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,null,null,null,null,null,0.5,{"$f":"I339","v":7.0890609581613882E-3},{"$f":"H389","v":7.0890609581613882E-3},null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,{"$f":"G389+0.5","v":1},{"$f":"H389*(1-$I$346)","v":6.8763891294165462E-3},{"$f":"I389+H390","v":1.3965450087577935E-2},null,null,null,null,null,{"$f":"ROW()","v":390}]
[null,null,null,null,null,null,1.5,{"$f":"H390*(1-$I$346)","v":6.6700974555340495E-3},2.0635547543111983E-2,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,null,null,null,null,null,2,6.4699945318680277E-3,2.7105542074980012E-2,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,2.5,6.2758946959119866E-3,3.3381436770891997E-2,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,3,6.0876178550346265E-3,3.946905462592662E-2,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,null,null,null,null,null,3.5,5.9049893193835875E-3,4.5374043945310208E-2,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,4,5.7278396398020796E-3,5.1101883585112286E-2,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,null,null,null,null,null,4.5,5.5560044506080168E-3,5.6657888035720305E-2,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,null,null,null,null,null,5,5.3893243170897763E-3,6.2047212352810084E-2,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,null,null,null,5.5,5.2276445875770825E-3,6.7274856940387165E-2,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,null,null,null,null,null,6,5.0708152499497703E-3,7.234567219033694E-2,null,null,null,null,null,{"$f":"ROW()","v":400}]
[null,null,null,null,null,null,6.5,4.9186907924512772E-3,7.7264362982788215E-2,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,null,null,null,null,null,7,4.771130068677739E-3,8.2035493051465957E-2,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,7.5,4.627996166617407E-3,8.6663489218083367E-2,null,null,null,null,null,{"$f":"ROW()","v":403}]
[null,null,null,null,null,null,8,4.4891562816188847E-3,9.1152645499702256E-2,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,null,null,null,null,null,8.5,4.3544815931703179E-3,9.5507127092872568E-2,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,null,null,null,null,null,9,4.2238471453752086E-3,9.9730974238247783E-2,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,null,null,null,null,null,9.5,4.097131731013952E-3,0.10382810596926173,null,null,null,null,null,{"$f":"ROW()","v":407}]
[null,null,null,null,null,null,10,3.9742177790835333E-3,0.10780232374834527,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,null,null,null,null,null,10.5,3.8549912457110274E-3,0.11165731499405629,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,null,null,null,null,null,11,3.7393415083396965E-3,0.11539665650239599,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,null,null,null,null,null,11.5,3.6271612630895053E-3,0.11902381776548548,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,null,null,null,null,null,12,3.5183464251968199E-3,0.1225421641906823,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,null,null,null,null,null,12.5,3.412796032440915E-3,0.12595496022312322,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,null,null,null,null,null,13,{"$f":"H413*(1-$I$346)","v":3.3104121514676873E-3},{"$f":"I413+H414","v":0.1292653723745909},null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,null,null,null,null,13.5,3.2110997869236567E-3,0.13247647216151456,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,null,null,null,null,null,14,3.1147667933159469E-3,0.13559123895483052,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,null,null,null,null,null,14.5,3.0213237895164685E-3,0.138612562744347,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,null,null,null,null,null,15,2.9306840758309746E-3,0.14154324682017796,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,null,null,null,null,null,15.5,2.8427635535560451E-3,0.144386010373734,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,null,null,null,null,null,16,2.7574806469493635E-3,0.14714349102068336,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,null,null,null,null,null,16.5,2.6747562275408828E-3,0.14981824724822423,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,null,null,null,null,null,17,2.5945135407146563E-3,0.15241276078893889,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,null,null,null,null,null,17.5,2.5166781344932165E-3,0.15492943892343211,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,null,null,null,null,null,18,2.4411777904584202E-3,0.15737061671389052,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,null,null,null,null,null,18.5,2.3679424567446673E-3,0.15973855917063517,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,null,null,null,null,null,19,2.2969041830423272E-3,0.16203546335367749,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,null,null,null,null,null,19.5,2.2279970575510575E-3,0.16426346041122855,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,20,2.1611571458245256E-3,0.16642461755705307,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,"I. NJ Transit",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,"This section was added on 8-Oct-2014 to quantify parameters for analyzing impacts from possible cutbacks in NJ Transit train service to NY Penn Station as each of the two trans-Hudson train tunnels are taken from service for post-Sandy rehabilitation.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Daily (weekday) passenger arrivals on NJ Transit trains at Penn Station, NY",null,null,null,null,null,null,null,null,null,81181,null,null,{"$f":"ROW()","v":435}]
[null,"\"NJ Transit Facts At A Glance,\" Fiscal Year 2013 (7-1-2012 - 6-30-2012), \"Average Weekday Boardings,\" https://www.njtransit.com/pdf/FactsAtaGlance.pdf",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"Prospective loss of trans-Hudson capacity during tunnel repair",null,null,null,null,null,null,null,null,null,0.75,null,null,{"$f":"ROW()","v":437}]
[null,"Numerous articles, including \"New Jersey's Coming Tunnel-Repair Nightmare,\" by Nicole Gelinas, NY Post, 6 Oct 2014, http://nypost.com/2014/10/05/jerseys-coming-tunnel-repair-nightmare/.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,"Prospective retention of trans-Hudson capacity during tunnel repair",null,null,null,null,null,null,null,null,null,{"$f":"1-L437","v":0.25},null,null,{"$f":"ROW()","v":439}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O437, \".\")","v":"Complement of Row 437."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,"Estimated share of passenger arrivals that continue to use NJT trains during tunnel repair",null,null,null,null,null,null,null,null,null,{"$f":"L439","v":0.25},null,null,{"$f":"ROW()","v":441}]
[null,{"$f":"CONCATENATE(\"Assumed to equal percentage in Row \",O439, \".\")","v":"Assumed to equal percentage in Row 439."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Estimated share of passenger arrivals that must find other means to travel to NY Penn Station during tunnel repair",null,null,null,null,null,null,null,null,null,{"$f":"1-L441","v":0.75},null,null,{"$f":"ROW()","v":443}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O441, \".\")","v":"Complement of Row 441."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Estimated number of passenger arrivals that must find other means to travel to NY Penn Station during tunnel repair (rounded)",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L443*L435, -2)","v":60900},null,null,{"$f":"ROW()","v":445}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O435, \" and \",O443, \", rounded.\")","v":"Product of Rows 435 and 443, rounded."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446}]
[null,"Estimated share of those passengers who will give up traveling to NY Penn Station during tunnel repair",null,null,null,null,null,null,null,null,null,0.1,null,null,{"$f":"ROW()","v":447}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"Estimated number of passengers who will travel to Manhattan CBD by other means during tunnel repair",null,null,null,null,null,null,null,null,null,{"$f":"(1-L447)*L445","v":54810},null,null,{"$f":"ROW()","v":449}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O445, \" and complement of Row \",O447, \".\")","v":"Product of Row 445 and complement of Row 447."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450}]
[null,"Other means of travel to Penn Station area, and their assumed shares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":451}]
[null,"NJ Transit buses",null,"Shares are Komanoff assumptions. It is assumed that a large number of NJT train travelers who now transfer at Secaucus to ride NJT to Penn Station will instead continue to Newark and pick up PATH to lower Manhattan or Penn Station NY.",null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},{"$f":"K452*$L$449","v":18270},null,null,{"$f":"ROW()","v":452}]
[null,"PATH",null,null,null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},{"$f":"K453*$L$449","v":18270},null,null,{"$f":"ROW()","v":453}]
[null,"Private auto",null,null,null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},{"$f":"K454*$L$449","v":18270},null,null,{"$f":"ROW()","v":454}]
[null,{"$f":"CONCATENATE(\"Quantities are respective products of percentages in Rows \",O452, \"-\",O454, \" and total passenger figure in Row \",O449, \".\")","v":"Quantities are respective products of percentages in Rows 452-454 and total passenger figure in Row 449."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,"Assumed car occupancy of new auto trips replacing train trips",null,null,null,null,null,null,null,null,null,1.3,null,null,{"$f":"ROW()","v":456}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457}]
[null,"Number of new auto trips replacing train trips",null,null,null,null,null,null,null,null,null,{"$f":"L454/L456","v":14053.846153846154},null,null,{"$f":"ROW()","v":458}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O454, \" and Row \",O456, \".\")","v":"Ratio of Row 454 and Row 456."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":459}]
[null,"Assumed bus occupancy of new bus trips replacing train trips",null,null,null,null,null,null,null,null,null,50,null,null,{"$f":"ROW()","v":460}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461}]
[null,"Number of new bus trips replacing train trips",null,null,null,null,null,null,null,null,null,{"$f":"L452/L460","v":365.4},null,null,{"$f":"ROW()","v":462}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O452, \" and Row \",O460, \".\")","v":"Ratio of Row 452 and Row 460."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":463}]
[null,"Car equivalent of each bus, in terms of generating traffic congestion",null,null,null,null,null,null,null,null,null,2.5,null,null,{"$f":"ROW()","v":464}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":465}]
[null,"Car equivalent of additional bus trips replacing train trips",null,null,null,null,null,null,null,null,null,{"$f":"L462*L464","v":913.5},null,null,{"$f":"ROW()","v":466}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O462, \" and \",O464, \".\")","v":"Product of Rows 462 and 464."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467}]
[null,"Total car equivalent of additional car and bus trips replacing train trips",null,null,null,null,null,null,null,null,null,{"$f":"L458+L466","v":14967.346153846154},null,null,{"$f":"ROW()","v":468}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O464, \" and \",O466, \".\")","v":"Product of Rows 464 and 466."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":469}]
[null,"Total car equivalent of additional car and bus trips replacing train trips, rounded",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L468,-2)","v":15000},null,null,{"$f":"ROW()","v":470}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471}]
[null,"Above section duplicated and then condensed for \"capture\" in screenshot",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,"Daily (weekday) passenger arrivals on NJ Transit trains at Penn Station, NY",null,null,null,null,null,null,null,{"$f":"L435","v":81181},null,null,null,null,{"$f":"ROW()","v":473}]
[null,"\"NJ Transit Facts At A Glance,\" Fiscal Year 2013, https://www.njtransit.com/pdf/FactsAtaGlance.pdf",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,"Prospective loss of trans-Hudson capacity during tunnel repair",null,null,null,null,null,null,null,{"$f":"L437","v":0.75},null,null,null,null,{"$f":"ROW()","v":475}]
[null,"Prospective retention of trans-Hudson capacity during tunnel repair",null,null,null,null,null,null,null,{"$f":"L439","v":0.25},null,null,null,null,{"$f":"ROW()","v":476}]
[null,"Est'd share of passenger arrivals that continue to use NJT trains during tunnel repair",null,null,null,null,null,null,null,{"$f":"L441","v":0.25},null,null,null,null,{"$f":"ROW()","v":477}]
[null,"Est'd share of passenger arrivals that must find other means to travel to NY Penn during repair",null,null,null,null,null,null,null,{"$f":"L443","v":0.75},null,null,null,null,{"$f":"ROW()","v":478}]
[null,"Est'd number of arrivals that must find other means to travel to NY Penn during repair (rounded)",null,null,null,null,null,null,null,{"$f":"L445","v":60900},null,null,null,null,{"$f":"ROW()","v":479}]
[null,"Est'd share of those passengers who will give up traveling to NY Penn during tunnel repair",null,null,null,null,null,null,null,{"$f":"L447","v":0.1},null,null,null,null,{"$f":"ROW()","v":480}]
[null,"Est'd number of passengers who will travel to Manhattan CBD by other means during tunnel repair",null,null,null,null,null,null,null,{"$f":"L449","v":54810},null,null,null,null,{"$f":"ROW()","v":481}]
[null,"Other means of travel to Penn Station area, and their assumed shares",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,"NJ Transit buses",null,null,null,null,null,null,{"$f":"K452","v":0.33333333333333331},18270,null,null,null,null,{"$f":"ROW()","v":483}]
[null,"PATH",null,null,null,null,null,null,0.33333333333333331,18270,null,null,null,null,{"$f":"ROW()","v":484}]
[null,"Private auto",null,null,null,null,null,null,0.33333333333333331,18270,null,null,null,null,{"$f":"ROW()","v":485}]
[null,"Assumed car occupancy of new auto trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L456","v":1.3},null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Number of new auto trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L458","v":14053.846153846154},null,null,null,null,{"$f":"ROW()","v":487}]
[null,"Assumed bus occupancy of new bus trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L460","v":50},null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Number of new bus trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L462","v":365.4},null,null,null,null,{"$f":"ROW()","v":489}]
[null,"Car equivalent of each bus, in terms of generating traffic congestion",null,null,null,null,null,null,null,{"$f":"L464","v":2.5},null,null,null,null,{"$f":"ROW()","v":490}]
[null,"Car equivalent of additional bus trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L466","v":913.5},null,null,null,null,{"$f":"ROW()","v":491}]
[null,"Total car equivalent of additional car and bus trips replacing train trips",null,null,null,null,null,null,null,{"$f":"L468","v":14967.346153846154},null,null,null,null,{"$f":"ROW()","v":492}]
[null,"Total car equivalent of additional car and bus trips replacing train trips, rounded",null,null,null,null,null,null,null,{"$f":"L470","v":15000},null,null,null,null,{"$f":"ROW()","v":493}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":494}]
[null,"J. MTA Capital Plan 2015-2019, gross breakdown",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":495}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496}]
[null,"This section was added on 3-May-2016. Source is MTA, \"MTA Capital Program 2015-2019: Renew. Enhance. Expand,\" as proposed to the MTA Board, Oct 28, 2015. http://web.mta.info/capital/pdf/CapitalProgram2015-19_WEB%20v4%20FINAL_small.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":497}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":498}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":499}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":500}]
[null,"Breakout of planned capital investments excluding megaprojects (figures in billions)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":501}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":502}]
[null,null,null,null,null,null,null,"% w/o Bridges & Tunnels",null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,null,null,null,"Amount","page source","% total",null,null,null,null,null,null,null,{"$f":"ROW()","v":504}]
[null,"NYC Subways",null,null,14.2,18,{"$f":"E505/$E$510","v":0.58677685950413216},{"$f":"E505/$E$511","v":0.66666666666666663},{"$f":"H505+H506","v":0.76056338028169013},null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,"NYC Buses",null,null,2,20,8.2644628099173556E-2,{"$f":"E506/$E$511","v":9.3896713615023469E-2},null,null,null,null,null,null,{"$f":"ROW()","v":506}]
[null,"LIRR",null,null,2.8,22,0.11570247933884296,{"$f":"E507/$E$511","v":0.13145539906103285},null,null,null,null,null,null,{"$f":"ROW()","v":507}]
[null,"Metro-North",null,null,2.2999999999999998,24,9.5041322314049576E-2,{"$f":"E508/$E$511","v":0.10798122065727699},null,null,null,null,null,null,{"$f":"ROW()","v":508}]
[null,"Bridges & Tunnels",null,null,2.9,26,0.11983471074380166,{"$f":"E509/$E$511","v":0.13615023474178403},null,null,null,null,null,null,{"$f":"ROW()","v":509}]
[null,"Total",null,null,{"$f":"SUM(E505:E509)","v":24.2},null,1,null,null,null,null,null,null,null,{"$f":"ROW()","v":510}]
[null,"Total w/o bridges & Tunnels",null,null,{"$f":"SUM(E505:E508)","v":21.3},null,null,{"$f":"E511/$E$511","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":512}]
[null,"K. MTA Megaprojects Corruption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":514}]
[null,"This section was begun on 5-Jan-2018 in wake of NY Times expose by Brian M. Rosenthal, The Most Expensive Mile of Subway Track on Earth, Dec. 28, 2017 <https://www.nytimes.com/2017/12/28/nyregion/new-york-subway-construction-costs.html>. It estimates the time lost by NYC subway riders because funds that could have kept the system in a state of good repair were skimmed and scammed from MTA megaprojects. \n",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":516}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":517},null,"Following info was downloaded on 5-Jan-2018 from pages accessed via http://web.mta.info/capitaldashboard/CPDHome.html?AGY=z&PLN=M&RPT=esa"]
[null,null,null,null,null,null,null,null,null,null,"Share of $$ that cd have been avail for subways","Stolen from subways, Jan 2010$ billions","Same, expressed in Jan 2018$ B",null,{"$f":"ROW()","v":518}]
[null,null,null,null,"Cost, $ Billion","Start Date","Completion Date","Expenditure Midpoint","Cost, $ Billion, in Jan 2010 $$","$$ wasted, Jan 2010$ billions",null,null,null,null,{"$f":"ROW()","v":519},null,"East Side Access",null,"Current Budget: $10.178 Billion      Current Revenue Service Date: 12/2022",null,null,null,null,null,"http://web.mta.info/capital/esa_alt.html"]
[null,"Megaproject",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520},null,"East Side Access will provide Long Island Rail Road Main and Port Washington Line customers with direct access to Midtown Manhattan’s East Side at Grand Central Terminal. The connection will follow a new route from the LIRR mainline in Sunnyside, Queens into a newly constructed 5,500-foot tunnel that leads to the lower level of an existing tunnel crossing under the East River at 63rd Street. Once in Manhattan, the route then follows 5,000 feet of new tunnels under Park Avenue into a new 8 track, 4 platform, two-level LIRR terminal located below the existing lower level of Grand Central Terminal."]
[null,"1. East Side Access",null,null,10.178000000000001,"2006-12-01","2022-12-01",{"$f":"(1-$F$528)*F521+$F$528*G521","v":"2016-07-07T09:36:00"},{"$f":"E521*(1+$F$529)^(($F$530-H521)/365.25)","v":7.8831491372393927},{"$f":"($F$532/(1+$F$532))*I521","v":2.6277163790797973},1,{"$f":"K521*J521","v":2.6277163790797973},{"$f":"L521*(1+$F$529)^8","v":3.5962113096516233},null,{"$f":"ROW()","v":521}]
[null,"2. Second Avenue Subway Phase I",null,null,4.4509999999999996,"2007-12-01","2016-12-01",{"$f":"(1-$F$528)*F522+$F$528*G522","v":"2013-04-25T19:12:00"},{"$f":"E522*(1+$F$529)^(($F$530-H522)/365.25)","v":3.9083392073402941},{"$f":"($F$532/(1+$F$532))*I522","v":1.3027797357800979},1,{"$f":"K522*J522","v":1.3027797357800979},{"$f":"L522*(1+$F$529)^8","v":1.7829440258838025},null,{"$f":"ROW()","v":522}]
[null,"3. Flushing Line Extension",null,null,2.4,"2007-12-01","2015-09-01",{"$f":"(1-$F$528)*F523+$F$528*G523","v":"2012-07-25T14:24:00"},{"$f":"E523*(1+$F$529)^(($F$530-H523)/365.25)","v":2.1703668274274008},{"$f":"($F$532/(1+$F$532))*I523","v":0.72345560914246687},1,{"$f":"K523*J523","v":0.72345560914246687},{"$f":"L523*(1+$F$529)^8","v":0.99009895601447506},null,{"$f":"ROW()","v":523}]
[null,"4. Fulton Center",null,null,1.4,"2005-10-01","2014-11-01",{"$f":"(1-$F$528)*F524+$F$528*G524","v":"2011-03-14T19:12:00"},{"$f":"E524*(1+$F$529)^(($F$530-H524)/365.25)","v":1.3357074426300153},{"$f":"($F$532/(1+$F$532))*I524","v":0.44523581421000508},1,{"$f":"K524*J524","v":0.44523581421000508},{"$f":"L524*(1+$F$529)^8","v":0.60933595545980568},null,{"$f":"ROW()","v":524}]
[null,"T O T A L",null,null,null,null,null,null,{"$f":"SUM(I521:I524)","v":15.297562614637103},{"$f":"SUM(J521:J524)","v":5.0991875382123677},null,{"$f":"SUM(L521:L524)","v":5.0991875382123677},{"$f":"SUM(M521:M524)","v":6.9785902470097074},null,{"$f":"ROW()","v":525}]
[null,"Costs and completion dates are from MTA dashboard pages for each of the four projcts (links are given at right, in Col. Y).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526},null,"Second Avenue Subway Phase I",null,"Current Budget: $4.451 Billion      Current Revenue Service Date: 12/2016",null,null,null,null,null,"http://web.mta.info/capital/sas_alt.html"]
[null,"Milestones to which start date was attached: 1&2: Federal Full Funding Grant Agreement; 3: Funding Agreement Budget; 4: Cosntruction Agreement Budget.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":527},null,"The Second Avenue Subway Phase I includes tunnels from 105th Street and Second Avenue to 63rd Street and Third Avenue, with new stations along Second Avenue at 96th, 86th and 72nd Streets and new entrances to the existing Lexington Avenue/63rd Street Station at 63rd Street and Third Avenue."]
[null,"Expenditure midpoint is deemed to be",null,null,null,0.6,"of time interval from start to completion.",null,null,null,null,null,null,null,{"$f":"ROW()","v":528}]
[null,"Construction inflation is estimated at:",null,null,null,0.04,{"$f":"CONCATENATE(\"per year, or greater than the \",H212*100, \"% inflation rate used for non-megaprojects (see Row \",O212, \").\")","v":"per year, or greater than the 3% inflation rate used for non-megaprojects (see Row 212)."},null,null,null,null,null,null,null,{"$f":"ROW()","v":529}]
[null,"Dollars are deflated/inflated to",null,null,null,"2010-01-01","on premise that this is approximate midpoint of construction periods for the four projects.",null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Share of project $$ that could have been available for subways",null,null,null,null,"Komanoff assumption. 100% figure for ESA may be non-conservative, since some $$ might have gone to LIRR capital improvements.",null,null,null,null,null,null,null,{"$f":"ROW()","v":531},null,"Flushing Line Extension",null,"Current Budget: $2.4 Billion      Current Revenue Service Date: 9/2015",null,null,null,null,null,"http://web.mta.info/capital/no7_alt.html"]
[null,"Waste/corruption \"tax\" over and above \"true\" costs",null,null,null,0.5,{"$f":"CONCATENATE(\"Komanoff assumption. It translates to an estimate that \",ROUND(F532/(1+F532)*100,0), \"% of total project cost was lost to waste/corruption.\")","v":"Komanoff assumption. It translates to an estimate that 33% of total project cost was lost to waste/corruption."},null,null,null,null,null,null,null,{"$f":"ROW()","v":532},null,"The 7 Line Extension will extend the existing 7 Line from its current terminal at Times Square to 11th Avenue and 34th Street. The scope of the project includes construction of over a mile of new tunnels and a new terminal station at 34th Street and 11th Avenue. The project will support planned development on the far west side of Manhattan and provide improved transit access to the Javits Convention Center."]
[null,"No. of years over which stolen money could have been invested in improved subway service",null,null,null,null,null,null,10,"Komanoff assumption",null,null,null,null,{"$f":"ROW()","v":533}]
[null,"Assumed initial year in which the money would have been so invested",null,null,null,null,null,null,2008,"Calculated as start date for East Side Access, plus 1 and rounded up",null,null,null,null,{"$f":"ROW()","v":534}]
[null,"Final year in which the money would have been so invested",null,null,null,null,null,null,{"$f":"I534+I533-1","v":2017},null,null,null,null,null,{"$f":"ROW()","v":535}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536}]
[null,"Summary table: Time stolen from subway riders because MTA contractors squandered funds",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":537},null,"Fulton Center",null,"Current Budget: $1.4 Billion      Current Revenue Service Date: 11/2014",null,null,null,null,null,"http://web.mta.info/capital/fulton_alt.html"]
[null,null,"Lost invest-ment in yr, Jan 2010$, millions","Lost Investment, cumulative, millions","Lost\nspeed-up in subway trips","Subway trips in year, millions","Foregone time saving, per trip, minutes","Foregone time saving per year, in hours",null,null,null,null,null,null,{"$f":"ROW()","v":538},null,"The Fulton Center project at the corner of Fulton Street and Broadway will improve connections to the Lower Manhattan stations of existing subway lines: 4/5, A/C, J/Z, 2/3, R, 1 and E. The project will include a new transit center building, underground passageways, improved mezzanine and platform access and improved American with Disabilities access. These investments will improve travel for hundreds of thousands of daily commuters, Lower Manhattan residents and visitors and better connect the subway with the World Trade Center site, PATH transit services and the World Financial Center."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":540}]
[null,"Year",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":541}]
[null,{"$f":"I534","v":2008},{"$f":"L525/I533*1000","v":509.91875382123675},{"$f":"C542","v":509.91875382123675},{"$f":"ABS(IF(D542/10*1000000<100000000,D542/10*1000000/100000000*$G$245,(VLOOKUP(ROUNDDOWN(D542/10*1000000/100000000,0),$F$245:$H$269,3)+(D542/10*1000000/100000000-ROUNDDOWN(D542/10*1000000/100000000,0))*VLOOKUP(ROUNDDOWN(D542/10*1000000/100000000,0)+1,$F$245:$H$269,2))))","v":6.6886811288340816E-3},{"$f":"R144/1000000","v":1623.8813691417129},{"$f":"E542*'Sub v. Bus'!$F$42","v":0.17925816723415422},{"$f":"ROUND(F542*G542*1000000/60,-3)","v":4852000},null,null,null,null,null,null,{"$f":"ROW()","v":542}]
[null,{"$f":"B542+1","v":2009},{"$f":"$C$542","v":509.91875382123675},{"$f":"C543+D542","v":1019.8375076424735},1.336435167882428E-2,1579.8665997606911,{"$f":"E543*'Sub v. Bus'!$F$42","v":0.35816764801229606},9431000,null,null,null,null,null,null,{"$f":"ROW()","v":543}]
[null,2010,509.91875382123675,{"$f":"C544+D543","v":1529.7562614637102},1.9718598751216655E-2,1604.1980174902953,{"$f":"E544*'Sub v. Bus'!$F$42","v":0.52846290688474251},14129000,null,null,null,null,null,null,{"$f":"ROW()","v":544}]
[null,2011,509.91875382123675,2039.675015284947,2.604812572380566E-2,1640.4346721593199,{"$f":"E545*'Sub v. Bus'!$F$42","v":0.69809566149076574},19086000,null,null,null,null,null,null,{"$f":"ROW()","v":545}]
[null,2012,509.91875382123675,2549.5937691061836,3.2084660442578412E-2,1654.5822651466667,{"$f":"E546*'Sub v. Bus'!$F$42","v":0.85987615741958967},23712000,null,null,null,null,null,null,{"$f":"ROW()","v":546}]
[null,2013,509.91875382123675,3059.5125229274204,3.808596901913136E-2,1707.5557138698414,{"$f":"E547*'Sub v. Bus'!$F$42","v":1.0207125847687606},29049000,null,null,null,null,null,null,{"$f":"ROW()","v":547}]
[null,2014,509.91875382123675,3569.4312767486572,4.3820677001965486E-2,1751.2876214881294,{"$f":"E548*'Sub v. Bus'!$F$42","v":1.1744040559011437},34279000,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,2015,509.91875382123675,4079.350030569894,4.9510765204654507E-2,1762.565419,{"$f":"E549*'Sub v. Bus'!$F$42","v":1.326899706832632},38979000,null,null,null,null,null,null,{"$f":"ROW()","v":549}]
[null,2016,509.91875382123675,4589.2687843911308,5.4958737788346916E-2,1756.8148000000001,{"$f":"E550*'Sub v. Bus'!$F$42","v":1.4729066044083958},43127000,null,null,null,null,null,null,{"$f":"ROW()","v":550}]
[null,2017,509.91875382123675,5099.1875382123671,6.0353724383117029E-2,1727.3666069999999,{"$f":"E551*'Sub v. Bus'!$F$42","v":1.6174934654955975},46567000,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,"T O T A L",null,null,null,null,null,{"$f":"SUM(H542:H551)","v":263211000},null,null,null,null,null,null,{"$f":"ROW()","v":552}]
[null,{"$f":"CONCATENATE(\"Lost investment in year is Cell L\",O525, \" divided by # of years in period (shown in Cell J\",O15, \"), adjusted for number of zeros.\")","v":"Lost investment in year is Cell L525 divided by # of years in period (shown in Cell J15), adjusted for number of zeros."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":553}]
[null,{"$f":"CONCATENATE(\"Lost speedup (%) in subway trips uses Excel Lookup function developed in Section G, beginning in Row L\",O132, \" that converts subway investment dollars to faster and more reliable service. We (conservatively) use coefficient peged to Jan. 2010 $, which are more 'dense' than the average $ that should have been available during the period investigated.\")","v":"Lost speedup (%) in subway trips uses Excel Lookup function developed in Section G, beginning in Row L132 that converts subway investment dollars to faster and more reliable service. We (conservatively) use coefficient peged to Jan. 2010 $, which are more 'dense' than the average $ that should have been available during the period investigated."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":554}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":556}]
[null,{"$f":"CONCATENATE(\"Subway trips each year are from Rows \",O144, \"-\",O157, \".\")","v":"Subway trips each year are from Rows 144-157."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":557}]
[null,{"$f":"CONCATENATE(\"Foregone time saving per trip multiplies %'s in Col. E by baseline subway trip duration (including waiting) of \",ROUND('Sub v. Bus'!F42,1), \" minutes given in ''Sub v. Bus' tab, Cell F\",'Sub v. Bus'!I42, \".\")","v":"Foregone time saving per trip multiplies %'s in Col. E by baseline subway trip duration (including waiting) of 26.8 minutes given in ''Sub v. Bus' tab, Cell F42."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":558}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Foregone time saving per year multiplies Col. F x Col. G, converting from minutes to hours.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":560}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,"L. Cumulative Cost of Foregoing the 2019 Biennial Fare and Toll Hike",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":562}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,null,null,null,null,null,"This array assumes all biennial toll and fare hikes",null,null,null,"This array assumes the 2019 toll/fare hike is skipped",null,null,null,{"$f":"ROW()","v":564}]
[null,null,null,null,null,null,"Subways","NYCT Buses","MTA Bridges","Combined","Subways","NYCT Buses","MTA Bridges","Combined",{"$f":"ROW()","v":565}]
[null,"Revenue ($ millions)",null,null,null,null,{"$f":"Subways!N12","v":3433.5540000000001},{"$f":"Buses!L41","v":952.36300000000006},{"$f":"'MTA Crossings'!U157","v":1941.9819999999997},{"$f":"SUM(G566:I566)","v":6327.8990000000003},{"$f":"G566","v":3433.5540000000001},952.36300000000006,1941.9819999999997,{"$f":"SUM(K566:M566)","v":6327.8990000000003},{"$f":"ROW()","v":566}]
[null,"Reference Year",null,null,null,null,2018,2016,2017,null,2018,2016,2017,null,{"$f":"ROW()","v":567}]
[null,{"$f":"CONCATENATE(\"Subways figure is from 'Subways' tab, Cell N\",Subways!O13, \". Buses figure is from  'Buses' tab, Cell L,\",Buses!O41, \" TBTA bridges figure is from 'MTA Crossings' tab, Cell AL\",'MTA Crossings'!AL157, \".\")","v":"Subways figure is from 'Subways' tab, Cell N13. Buses figure is from  'Buses' tab, Cell L,41 TBTA bridges figure is from 'MTA Crossings' tab, Cell AL157."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":568}]
[null,"Estimated 2018 revenue change from reference year",null,null,null,null,0,-0.02,0.02,null,{"$f":"G569","v":0},{"$f":"H569","v":-0.02},{"$f":"I569","v":0.02},null,{"$f":"ROW()","v":569}]
[null,"Komanoff assumptions, taking into account subway and bus problems but also fare and toll hikes that went into effect near end of 1Q 2017 and thus were only partially reflected in 2017 revenues.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,"Assumed annual fare and toll increases",null,null,null,null,0.02,0.02,0.02,null,{"$f":"G571","v":0.02},{"$f":"H571","v":0.02},{"$f":"I571","v":0.02},null,{"$f":"ROW()","v":571}]
[null,"Based on assumed price hikes of 4% every two years.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":572}]
[null,"Assumed price-elasticity",null,null,null,null,{"$f":"Subways!K112*Elasticities!G64+(1-Subways!K112)*Elasticities!H64","v":-0.14760000000000001},{"$f":"Buses!H61*Elasticities!G64+(1-Buses!H61)*Elasticities!H64","v":-0.1764},{"$f":"'MTA Crossings'!X159","v":-0.12273047638958549},null,{"$f":"G573","v":-0.14760000000000001},{"$f":"H573","v":-0.1764},{"$f":"I573","v":-0.12273047638958549},null,{"$f":"ROW()","v":573}]
[null,{"$f":"CONCATENATE(\"Subway & Bus figures are weighted avg's of transit price-elasticities for work and non-work trips from 'Elasticities' tab, Row \",Elasticities!O64, \", weighted by assumed percents of work and non-work trips given in Cell K\",Subways!O112,\" for subways and Cell H\",Buses!O61, \" for buses. MTA Bridges figure is derived in 'MTA Crossings' tab and copied from that tab's Cell X\",'MTA Crossings'!AL159, \".\")","v":"Subway & Bus figures are weighted avg's of transit price-elasticities for work and non-work trips from 'Elasticities' tab, Row 64, weighted by assumed percents of work and non-work trips given in Cell K112 for subways and Cell H61 for buses. MTA Bridges figure is derived in 'MTA Crossings' tab and copied from that tab's Cell X159."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":574}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,"\"Natural\" annual growth in volumes, w/o fare/toll changes (after 2018)",null,null,null,null,0.01,0.01,0.01,null,{"$f":"G576","v":0.01},{"$f":"H576","v":0.01},{"$f":"I576","v":0.01},null,{"$f":"ROW()","v":576}]
[null,"Komanoff assumptions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":577}]
[null,"Annual growth in volumes, incorporating attrition from fare/toll hikes",null,null,null,null,{"$f":"(1+G576)*(1+G571)^G573-1","v":7.0522136267305857E-3},{"$f":"(1+H576)*(1+H571)^H573-1","v":6.4780397184387439E-3},{"$f":"(1+I576)*(1+I571)^I573-1","v":7.5482907659185638E-3},null,{"$f":"G578","v":7.0522136267305857E-3},{"$f":"H578","v":6.4780397184387439E-3},{"$f":"I578","v":7.5482907659185638E-3},null,{"$f":"ROW()","v":578}]
[null,{"$f":"CONCATENATE(\"Calculated as product of one plus natural growth in Row \",O576, \" and price-attrition factor calculated as one plus rate hike in Row \",O571, \" raised to the price-elasticity power given in Row \",O573, \".\")","v":"Calculated as product of one plus natural growth in Row 576 and price-attrition factor calculated as one plus rate hike in Row 571 raised to the price-elasticity power given in Row 573."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":579}]
[null,"Annual growth in revenues, incorporating attrition from fare/toll hikes",null,null,null,null,{"$f":"(1+G571)*(1+G578)-1","v":2.71932578992653E-2},{"$f":"(1+H571)*(1+H578)-1","v":2.6607600512807528E-2},{"$f":"(1+I571)*(1+I578)-1","v":2.7699256581237064E-2},null,{"$f":"G580","v":2.71932578992653E-2},{"$f":"H580","v":2.6607600512807528E-2},{"$f":"I580","v":2.7699256581237064E-2},null,{"$f":"ROW()","v":580}]
[null,null,null,null,null,null,"This array assumes all biennial toll and fare hikes",null,null,null,"This array assumes the 2019 toll/fare hike is skipped",null,null,null,{"$f":"ROW()","v":581}]
[null,null,"Shortfalls (nominal dollars)",null,"Shortfalls ($ discounted to 2018)",null,"Subways","NYCT Buses","MTA Bridges","Combined","Subways","NYCT Buses","MTA Bridges","Combined",{"$f":"ROW()","v":582}]
[null,2018,"Annual","Cumulative","Annual","Cumulative",{"$f":"G566*(1+G569)","v":3433.5540000000001},{"$f":"H566*(1+H569)","v":933.31574000000001},{"$f":"I566*(1+I569)","v":1980.8216399999997},{"$f":"SUM(G583:I583)","v":6347.6913800000002},{"$f":"G566*(1+G569)","v":3433.5540000000001},{"$f":"H566*(1+H569)","v":933.31574000000001},{"$f":"I566*(1+I569)","v":1980.8216399999997},{"$f":"SUM(K583:M583)","v":6347.6913800000002},{"$f":"ROW()","v":583}]
[null,2019,{"$f":"E584/(1+$F$606)^(B584-$B$583)","v":106.40115033331612},null,{"$f":"J584-N584","v":109.59318484331561},null,{"$f":"G583*(1+G$580)","v":3526.923519433054},{"$f":"H583*(1+H$580)","v":958.14903236223529},{"$f":"I583*(1+I$580)","v":2035.6889268480265},{"$f":"SUM(G584:I584)","v":6520.761478643316},{"$f":"K583*(1+K$576)","v":3467.8895400000001},942.64889740000001,2000.6298563999997,{"$f":"SUM(K584:M584)","v":6411.1682938000004},{"$f":"ROW()","v":584}]
[null,2020,210.45448143031177,{"$f":"SUM(C$584:C585)","v":316.85563176362791},{"$f":"J585-N585","v":223.27115934941776},{"$f":"SUM(E$584:E585)","v":332.86434419273337},{"$f":"G584*(1+G$580)","v":3622.8320602879817},983.64307904706277,2092.0759967523732,{"$f":"SUM(G585:I585)","v":6698.551136087417},3502.5684354,952.075386374,2020.6361549639996,{"$f":"SUM(K585:M585)","v":6475.2799767379993},{"$f":"ROW()","v":585}]
[null,2021,209.89715654547976,{"$f":"SUM(C$584:C586)","v":526.7527883091077},229.36029018047248,{"$f":"SUM(E$584:E586)","v":562.22463437320584},3721.3486668291193,1009.815461141535,2150.0249465738643,6881.1890745445189,{"$f":"K585*(1+K$580)","v":3597.8146821736582},{"$f":"L585*(1+L$580)","v":977.40782791271624},{"$f":"M585*(1+M$580)","v":2076.6062742776717},{"$f":"SUM(K586:M586)","v":6651.8287843640464},{"$f":"ROW()","v":586}]
[null,2022,209.34133219697821,{"$f":"SUM(C$584:C587)","v":736.09412050608591},235.61551368483561,{"$f":"SUM(E$584:E587)","v":797.84014805804145},3822.5442608592907,1036.6842275232455,2209.5790392250742,7068.8075276076106,{"$f":"K586*(1+K$580)","v":3695.6509846997697},{"$f":"L586*(1+L$580)","v":1003.4143049359087},{"$f":"M586*(1+M$580)","v":2134.1267242870958},{"$f":"SUM(K587:M587)","v":6833.192013922775},{"$f":"ROW()","v":587}]
[null,2023,208.78700427738571,{"$f":"SUM(C$584:C588)","v":944.88112478347159},242.04136110953641,{"$f":"SUM(E$584:E588)","v":1039.8815091675779},3926.4916927761938,1064.2679073071124,2270.7827359690928,7261.5423360523992,3796.1477750323843,1030.1127519104798,2193.2404479999991,7019.5009749428627,{"$f":"ROW()","v":588}]
[null,2024,208.23416869070482,{"$f":"SUM(C$584:C589)","v":1153.1152934741765},248.64248734094326,{"$f":"SUM(E$584:E589)","v":1288.5239965085211},4033.2657940171794,1092.5855226233418,2333.6817296129443,7459.5330462534657,3899.3774005025621,1057.5215804964625,2253.9915779134985,7210.8905589125225,{"$f":"ROW()","v":589}]
[null,2025,207.68282135233574,{"$f":"SUM(C$584:C590)","v":1360.7981148265121},255.42367427893987,{"$f":"SUM(E$584:E590)","v":1543.947670787461},4142.9434309301732,1121.6566017353807,2398.3229786204383,7662.9230112859923,4005.4141758009951,1085.6596922439853,2316.425468962072,7407.4993370070524,{"$f":"ROW()","v":590}]
[null,2026,207.13295818904646,{"$f":"SUM(C$584:C591)","v":1567.9310730155585},262.38983430319604,{"$f":"SUM(E$584:E591)","v":1806.337505090657},4255.6035601095246,1151.5011925069091,2464.7547421699228,7871.8594947863567,4114.3344364769246,1114.546491628071,2380.5887323781649,7609.4696604831606,{"$f":"ROW()","v":591}]
[null,2027,206.58457513893254,{"$f":"SUM(C$584:C592)","v":1774.5156481544909},269.54601383403678,{"$f":"SUM(E$584:E592)","v":2075.8835189246938},4371.3272852366144,1182.1398762271544,2533.0266161831082,8086.4937776468778,4226.2165938918697,1144.2018994302618,2446.5292704907097,7816.947763812841,{"$f":"ROW()","v":592}]
[null,2028,206.03766815138877,{"$f":"SUM(C$584:C593)","v":1980.5533163058797},276.89739699052006,{"$f":"SUM(E$584:E593)","v":2352.7809159152139},4490.1979154661485,1213.5937818040663,2603.1895703518667,8306.9812676220827,4341.1411916677262,1174.6463664762978,2514.2963124875387,8030.0838706315626,{"$f":"ROW()","v":593}]
[null,2029,205.49223318708093,{"$f":"SUM(C$584:C594)","v":2186.0455494929606},284.44930934836339,{"$f":"SUM(E$584:E594)","v":2637.2302252635773},4612.3010254001629,1245.8846003351362,2675.2959861906434,8533.4816119259431,4459.1909636698701,1205.9008877393201,2583.9404511683892,8249.0323025775797,{"$f":"ROW()","v":594}]
[null,2030,204.94826621790875,{"$f":"SUM(C$584:C595)","v":2390.9938157108695},292.20722180043231,{"$f":"SUM(E$584:E595)","v":2929.4374470640096},4737.7245166929151,1279.0346000659124,2749.3996961428916,8766.1588129017182,4580.4508935670183,1237.9870168183279,2655.5136807159397,8473.9515911012859,{"$f":"ROW()","v":595}]
[null,2031,204.40576322697842,{"$f":"SUM(C$584:C596)","v":2595.3995789378478},300.17675452261574,{"$f":"SUM(E$584:E596)","v":3229.6142015866253},4866.5586813310174,1313.0666417465247,2825.5560237707286,9005.1813468482706,4705.0082760107061,1270.9268808018724,2729.0694355130759,8705.0045923256548,{"$f":"ROW()","v":596}]
[null,2032,203.86472020856797,{"$f":"SUM(C$584:C597)","v":2799.2642991464159},308.36368104794201,{"$f":"SUM(E$584:E597)","v":3537.9778826345673},4998.8962666343605,1348.0041943968101,2903.8218250578138,9250.7222860889851,4832.9527794784426,1304.743195527237,2804.6626300353641,8942.3586050410431,{"$f":"ROW()","v":597}]
[null,2033,203.32513316809096,{"$f":"SUM(C$584:C598)","v":3002.5894323145067},316.77393245189705,{"$f":"SUM(E$584:E598)","v":3854.7518150864644},5134.8325420246229,1383.8713514909093,2984.2555308562864,9502.9594243718184,4964.3765108257712,1339.4592812456297,2882.3496998485207,9186.1854919199213,{"$f":"ROW()","v":598}]
[null,2034,202.7869981220787,{"$f":"SUM(C$584:C599)","v":3205.3764304365855},325.41360165201331,{"$f":"SUM(E$584:E599)","v":4180.1654167384777},5274.4653676094385,1420.6928475724985,3066.9171905094504,9762.0754056913865,5099.3740815937108,1375.0990787041858,2962.1886437414764,9436.6618040393732,{"$f":"ROW()","v":599}]
[null,2035,202.25031109813756,{"$f":"SUM(C$584:C600)","v":3407.6267415347229},334.28894782478164,{"$f":"SUM(E$584:E600)","v":4514.4543645632593},5417.8952646315847,1458.4940753121105,3151.8685166827786,10028.257856626473,5238.0426761193175,1411.6871656558765,3044.2390670264981,9693.9689088016912,{"$f":"ROW()","v":600}]
[null,2036,201.71506813491797,{"$f":"SUM(C$584:C601)","v":3609.341809669641},343.40640094314404,{"$f":"SUM(E$584:E601)","v":4857.8607655064034},5565.2254878339199,1497.3011030183118,3239.172931436698,10301.699522288929,5380.4821214983876,1449.2487738087057,3128.5622260386908,9958.293121345785,{"$f":"ROW()","v":601}]
[null,2037,201.18126528209066,{"$f":"SUM(C$584:C602)","v":3810.5230749517318},352.77256643785586,{"$f":"SUM(E$584:E602)","v":5210.6333319442592},5716.5620997921524,1537.140692614809,3328.8956135755611,10582.598405982522,5526.794959450679,1487.8098062258839,3215.2210738681028,10229.825839544666,{"$f":"ROW()","v":602}]
[null,2038,200.64889860030743,{"$f":"SUM(C$584:C603)","v":4011.1719735520392},362.39422998605914,{"$f":"SUM(E$584:E603)","v":5573.0275619303184},5872.0140472689664,1578.0403180958842,3421.1035473081452,10871.157912672996,5677.0865201393808,1527.3968551889798,3304.280307358576,10508.763682686937,{"$f":"ROW()","v":603}]
[null,2039,200.11796416117363,{"$f":"SUM(C$584:C604)","v":4211.2899377132126},372.27836243058664,{"$f":"SUM(E$584:E604)","v":5945.305924360905},6031.6932396444599,1620.0281844728831,3515.8655722560138,11167.586996373357,5831.464997997974,1568.0372205363667,3395.80641540843,10795.30863394277,{"$f":"ROW()","v":604}]
[null,2040,199.5884580472183,{"$f":"SUM(C$584:C605)","v":4410.878395760431},382.43212483354182,{"$f":"SUM(E$584:E605)","v":6327.7380491944468},6195.7146294793665,1663.1332472248264,3613.2524348470711,11472.100311551263,5990.0415296190713,1609.7589284896114,3489.8677286090392,11089.668186717721,{"$f":"ROW()","v":605}]
[null,null,null,null,"Discounted figures assume following annual discount rate:",0.03,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":606}]
[null,{"$f":"CONCATENATE(\"All 2018 figures are calculated as actual 2017 or 2016 figures from Row \",O566, \", increased by assumed percentage changes given in Row \",O569, \". All subsequent year figures augment prior years' revenue by annual % revenue increases in Row \",O580, \", except that years 2019-2020 in 'skipped toll/fare hike' array (shown in light blue) apply the 'natural' growth in volumes in Row \",O576, \",which skips the revenue growth (as well as volume attrition) from toll/fare hikes in those two years.\")","v":"All 2018 figures are calculated as actual 2017 or 2016 figures from Row 566, increased by assumed percentage changes given in Row 569. All subsequent year figures augment prior years' revenue by annual % revenue increases in Row 580, except that years 2019-2020 in 'skipped toll/fare hike' array (shown in light blue) apply the 'natural' growth in volumes in Row 576,which skips the revenue growth (as well as volume attrition) from toll/fare hikes in those two years."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":607}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":608}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":609}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":610}]
[null,"M. Congestion Costs from Falling Transit Ridership",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":611}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":612}]
[null,"One-year decline in subway ridership",null,null,null,null,null,null,null,null,3.5999999999999997E-2,null,null,null,{"$f":"ROW()","v":613}]
[null,"One-year decline in bus ridership",null,null,null,null,null,null,null,null,7.0999999999999994E-2,null,null,null,{"$f":"ROW()","v":614}]
[null,"Both figures are copied from NYCT graphs comparing weekday riderhsip in 2018 1Q vs. 2017 1Q, and provided in Second Avenue Sagas May 20, 2018 post, \"Where have all the transit riders gone?,\" http://secondavenuesagas.com/2018/05/20/transit-riders-gone/.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":615}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":616}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":617}]
[null,"Subways",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":618}]
[null,"Base weekday subway ridership",null,null,null,null,null,null,null,null,{"$f":"Subways!R5","v":5580845},null,null,null,{"$f":"ROW()","v":619}]
[null,{"$f":"CONCATENATE(\"From 'Subways' tab, Cell R\",Subways!O5, \".\")","v":"From 'Subways' tab, Cell R5."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":620}]
[null,"Percentage of subway system weekday rides accounted for by trips entering/leaving/using CBD",null,null,null,null,null,null,null,null,{"$f":"Subways!N41","v":0.76760669755207322},null,null,null,{"$f":"ROW()","v":621}]
[null,{"$f":"CONCATENATE(\"Copied from 'Subways' tab, Cell N\",Subways!O41, \".\")","v":"Copied from 'Subways' tab, Cell N41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":622}]
[null,"Percentage of subway system weekday rides accounted for by trips entering CBD",null,null,null,null,null,null,null,null,{"$f":"K621/2","v":0.38380334877603661},null,null,null,{"$f":"ROW()","v":623}]
[null,{"$f":"CONCATENATE(\"Assumed to be half of figure in Row \",O621, \". Implicitly treats half of intra-CBD trips as entering CBD.\")","v":"Assumed to be half of figure in Row 621. Implicitly treats half of intra-CBD trips as entering CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":624}]
[null,"Weekday subway trips entering CBD (rounded)",null,null,null,null,null,null,null,null,{"$f":"ROUND(K623*K619,-3)","v":2142000},null,null,null,{"$f":"ROW()","v":625}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O623, \" and \",O619, \".\")","v":"Product of Rows 623 and 619."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":626}]
[null,"One-year percentage loss in weekday subway trips entering CBD",null,null,null,null,null,null,null,null,{"$f":"ROUND(K613*K625,-2)","v":77100},null,null,null,{"$f":"ROW()","v":627}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O625, \" and \",O613, \".\")","v":"Product of Rows 625 and 613."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":628}]
[null,"Propensity of a \"lost\" subway trip to surface as car trip (whether private or for-hire)",null,null,null,null,null,null,null,null,0.5,null,null,null,{"$f":"ROW()","v":629}]
[null,"Komanoff estimate loosely drawn from cross-elasticities in 'Elasticities' tab, of 0.95 for work trips and 0.53 for non-work trips, for timed-out subway trips. More thorough calculation would use weighted average, but would also factor in carpooling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":630}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":631}]
[null,"One-year rise in weekday car trips entering CBD due to lost subway trips",null,null,null,null,null,null,null,null,{"$f":"K629*K627","v":38550},null,null,null,{"$f":"ROW()","v":632}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O629, \" and \",O627, \".\")","v":"Product of Rows 629 and 627."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":633}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":634}]
[null,"Buses",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":635}]
[null,"Base weekday bus ridership",null,null,null,null,null,null,null,null,{"$f":"Buses!D30","v":1923993},null,null,null,{"$f":"ROW()","v":636}]
[null,{"$f":"CONCATENATE(\"From 'Buses' tab, Cell D\",Buses!O30, \".\")","v":"From 'Buses' tab, Cell D30."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":637}]
[null,"Manhattan share of NYCT bus ridership, rounded",null,null,null,null,null,null,null,null,{"$f":"ROUND(Buses!L51,1)","v":0.2},null,null,null,{"$f":"ROW()","v":638}]
[null,{"$f":"CONCATENATE(\"Copied from 'Buses' tab, Row \",Buses!O51, \".\")","v":"Copied from 'Buses' tab, Row 51."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":639}]
[null,"Weekday Manhattan bus trips, rounded",null,null,null,null,null,null,null,null,{"$f":"ROUND(K638*K636,-3)","v":385000},null,null,null,{"$f":"ROW()","v":640}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O638, \" and \",O636, \".\")","v":"Product of Rows 638 and 636."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":641}]
[null,"Estimated share of those trips that pertain to Manhattan CBD",null,null,null,null,null,null,null,null,0.7,null,null,null,{"$f":"ROW()","v":642}]
[null,"Komanoff estimate, intended to split difference between 2/3 and 3/4.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":643}]
[null,"Weekday Manhattan bus trips that relate to CBD",null,null,null,null,null,null,null,null,{"$f":"K642*K640","v":269500},null,null,null,{"$f":"ROW()","v":644}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O642, \" and \",O640, \".\")","v":"Product of Rows 642 and 640."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":645}]
[null,"Adjustment to those bus trips to convert one-way trips to round trips",null,null,null,null,null,null,null,null,0.5,null,null,null,{"$f":"ROW()","v":646}]
[null,"Weekday Manhattan bus round-trips that relate to CBD",null,null,null,null,null,null,null,null,{"$f":"K646*K644","v":134750},null,null,null,{"$f":"ROW()","v":647}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O646, \" and \",O644, \".\")","v":"Product of Rows 646 and 644."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":648}]
[null,"One-year percentage loss in weekday bus trips entering CBD",null,null,null,null,null,null,null,null,{"$f":"ROUND(K614*K647,-2)","v":9600},null,null,null,{"$f":"ROW()","v":649}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O647, \" and \",O614, \".\")","v":"Product of Rows 647 and 614."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":650}]
[null,"Propensity of a \"lost\" bus trip to surface as car trip (whether private or for-hire)",null,null,null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},null,null,null,{"$f":"ROW()","v":651}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate, pegged lower than corresponding factor for lost subway trips in Row \",O629, \".\")","v":"Komanoff estimate, pegged lower than corresponding factor for lost subway trips in Row 629."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":652}]
[null,"One-year rise in weekday car trips entering CBD due to lost bus trips, rounded",null,null,null,null,null,null,null,null,{"$f":"ROUND(K651*K649,-2)","v":3200},null,null,null,{"$f":"ROW()","v":653}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O651, \" and \",O649, \".\")","v":"Product of Rows 651 and 649."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":654}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":655}]

{"sheet":"Subways","index":30,"n_rows":580,"n_cols":54,"rows_kept":580,"cut":false,"hidden":false,"merged":[[470,19,471,19],[574,1,575,12],[109,12,127,13],[92,1,97,13],[91,1,91,11],[231,11,232,13],[137,1,139,13],[180,7,180,13],[223,11,225,13],[181,1,182,13],[179,7,179,13],[141,1,143,13],[98,1,100,13],[102,1,103,13],[405,1,406,11],[369,1,369,11],[376,9,377,13],[389,9,390,13],[326,11,334,13],[432,19,433,19],[449,19,450,19],[327,15,327,19],[262,13,266,13],[248,1,249,13],[1,16,1,22],[19,16,19,22],[50,16,51,22],[7,16,7,22],[20,16,20,22],[327,21,327,23],[327,25,327,28],[83,43,84,53],[184,1,186,11],[90,52,90,53],[3,18,6,20],[64,15,74,15],[4,1,7,12],[35,12,35,13],[30,1,32,6],[35,1,37,6],[12,1,14,11],[24,12,25,12],[24,1,25,9],[28,1,28,11],[29,12,32,13],[183,40,191,41],[26,4,27,9],[118,52,121,53],[38,1,39,11],[8,16,11,22],[55,15,55,16],[12,16,16,22],[55,17,62,18],[55,19,62,21],[55,22,62,22],[18,16,18,22],[31,7,31,8],[32,7,32,8],[36,12,36,13],[37,12,37,13],[52,1,53,13],[54,9,54,11],[54,3,54,4],[54,12,55,13],[54,6,54,7],[547,1,548,12],[568,1,569,12],[124,43,125,50],[41,1,43,11],[51,1,51,13],[89,1,90,13],[88,45,88,46],[89,45,89,46],[88,47,88,48],[89,47,89,48],[90,47,90,48],[88,49,88,50],[89,49,89,50],[90,49,90,50],[86,43,86,50],[87,43,87,50],[121,43,123,50],[508,18,511,18],[429,13,433,13],[333,21,333,23],[331,25,331,28],[333,25,333,28],[331,21,331,23],[333,15,333,19],[508,17,511,17],[477,9,478,13],[444,9,445,13],[431,1,433,11],[287,10,290,13],[88,52,88,53],[89,52,89,53],[90,43,91,43],[90,44,91,44],[90,45,90,46],[331,15,331,19],[329,21,329,23],[329,25,329,28],[329,15,329,19],[329,40,339,40],[306,40,307,42],[329,29,329,34],[329,35,329,37],[331,29,331,34],[327,29,327,34],[327,35,327,37],[333,29,333,34],[331,35,331,37],[333,35,333,37]]}
[null,"Subways",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2},null,"Subway Ridership (http://web.mta.info/nyct/facts/ridership/, accessed 15-Aug-2018)",null,null,null,null,null,null,null,"This link may have useful source material for subway-line capacity analysis: http://capntransit.blogspot.com/2014/04/our-overloaded-subways.html"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,null,2017]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4},null,"Annual (000)",{"$f":"Transit!R153/1000","v":1727366.6070000001},"%'s at right are weekday, Sat. and Sunday/holiday shares of annual totals for 2016. 2nd column is normalized by sum of 1st.",null,null,{"$f":"SUM(V5:V7)","v":0.99484587813384773},{"$f":"SUM(W5:W7)","v":1}]
[null,"This worksheet estimates changes in subway use and revenue in response to posited changes in (1) level and structure of subway fares, (2) quality of subway service, as reflected in changes in average trip duration, and (3) CBD cordon fees. It's based on actual/proejcted 2017/2018 ridership and revenue.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5},null,"Avg Weekday",5580845,null,null,null,{"$f":"(R5*weekday_per_yr)/(R4*1000)","v":0.80770998139366024},{"$f":"V5/$V$4","v":0.81189458502736034},null,"This MTA press release from 20-April-2015 will likely be supplemented by more detailed figures later in April or in May:"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6},null,"Avg Saturday",3156673,null,null,null,{"$f":"R6*52/(R4*1000)","v":9.5027306499274017E-2},{"$f":"V6/$V$4","v":9.5519626293801591E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7},null,"Avg Sunday",2525481,null,null,null,{"$f":"R7*(wkend_per_yr-52)/(R4*1000)","v":9.210859024091346E-2},{"$f":"V7/$V$4","v":9.2585788678838016E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Excellent coverage of the 2012 figures from the NY Post"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8},null,"Also from http://web.mta.info/nyct/facts/ridership/ (slightly abridged)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Subways smash 1940s rider record"]
[null,"1. Baseline Subway Ridership, Fare and Revenue Data ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9},null,"Subway ridership consists of all passengers (other than NYC Transit employees) who enter the subway system, including passengers who transfer from buses. Ridership does not include passengers who exit subway or passengers who transfer from other subway lines, with exception of out-of-system transfers; e.g., between Lexington Av/63 St F station and Lexington Avenue N-Q-R/59 St 4-5-6 station, where customers use their MetroCard to make the transfer.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"New York Post, March 12, 2013 | 4:00am, By Jennifer Fermino"]
[null,null,null,null,null,null,null,null,null,null,null,2016,2017,2018,{"$f":"ROW()","v":10},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"http://nypost.com/2013/03/12/subways-smash-1940s-rider-record/"]
[null,"NYC Subway ridership, millions (from http://web.mta.info/nyct/facts/ridership/, 3-Oct-17)",null,null,null,null,null,null,null,null,null,{"$f":"Transit!R152/1000000","v":1756.8148000000001},{"$f":"R4/1000","v":1727.3666070000002},1691.7080000000001,{"$f":"ROW()","v":11},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The city’s subway system last year clocked its highest ridership since Harry Truman was president,"]
[null,"Subway Farebox Revenue, millions",null,null,null,null,null,null,null,null,null,3351.0830000000001,3441.1239999999998,3433.5540000000001,{"$f":"ROW()","v":12},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"driven mostly by an influx of young people, officials said."]
[null,{"$f":"CONCATENATE(\"2016 & 2017 are from 'Transit' tab, Cells R\",Transit!O156, \" & R\",Transit!O157, \". 2018 (proj'd) is from MTA 2019 Prelim. Budget, July Financial Plan 2019-2022, Vol 2, July \" & \"2018, p 418/521. http://web.mta.info/news/pdf/MTA-2019-Prelim-Budget-July-Financial-Plan-2019-2022-Vol1.pdf. \" & \"2016 actual is from source noted in Cell Q\",2, \".\")","v":"2016 & 2017 are from 'Transit' tab, Cells R156 & R157. 2018 (proj'd) is from MTA 2019 Prelim. Budget, July Financial Plan 2019-2022, Vol 2, July 2018, p 418/521. http://web.mta.info/news/pdf/MTA-2019-Prelim-Budget-July-Financial-Plan-2019-2022-Vol1.pdf. 2016 actual is from source noted in Cell Q2."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13},null,"Average weekday, Saturday, and Sunday ridership includes every such day in year, except major holidays and days when subway system was closed or operated fare-free (Monday, 10/29/2012 through Friday, 11/02/2012 due to Superstorm Sandy). Average weekend ridership is two-day sum of average Saturday plus average Sunday ridership. Ridership on major holidays (New Year’s Day, Presidents Day, Memorial Day, Independence Day, Labor Day, Thanksgiving, and Christmas) is included only in annual total.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"More than 1.654 billion subway trips were made in 2012, a 13.7 million increase over 2011 and the"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"largest number of trips in 62 years, according to MTA statistics released yesterday."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"That’s an 8 percent jump that came despite a three-day shutdown during Hurricane Sandy."]
[null,"Implied average fare",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O12, \" divided by Row \",O11, \".\")","v":"Row 12 divided by Row 11."},{"$f":"L12/L11","v":1.9074765308215755},{"$f":"M12/M11","v":1.9921214095810058},{"$f":"N12/N11","v":2.0296375024531419},{"$f":"ROW()","v":16},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Weekend ridership was particularly high. It grew by 3 percent from 2011 to 2012, shattering the "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"all-time-high weekend record set in 1946."]
[null,"Adjustment factor to normalize ridership to full fare",null,null,null,null,null,null,null,null,null,null,{"$f":"Transit!H108","v":0.95574999999999999},null,{"$f":"ROW()","v":18},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"At the time, that record was set in large part because many New Yorkers were still working six days "]
[null,{"$f":"CONCATENATE(\"From 'Transit' worksheet, Row \",Transit!O108, \". It approximates number of full-fare rides by adjusting for bus-subway transfers.\")","v":"From 'Transit' worksheet, Row 108. It approximates number of full-fare rides by adjusting for bus-subway transfers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19},null,"Weekday Subway Trips Entering and Leaving the Manhattan Central Business District",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"a week to help the country get back on its feet after World War II."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20},null,"Actual data for typical weekday in 2015 (most recent data available)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Today, officials credit the boom with large numbers of young people using mass transit."]
[null,"Adjusted (full-fare equiv.) projected subway ridership, 2018, millions:",null,null,null,null,null,null,null,null,null,null,{"$f":"N11*M18","v":1616.849921},null,{"$f":"ROW()","v":21},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"“Recent trends, like the younger ‘millennial’ generation increasingly gravitating toward transit around"]
[null,{"$f":"CONCATENATE(\"Product of projected turnstile counts in Row \",O15,\" and adjustment factor in Row \",O17,\".\")","v":"Product of projected turnstile counts in Row 15 and adjustment factor in Row 17."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22},null,"Hour begins","Entering","% of total","Leaving","% of total","Enter+Leave","% of total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"the country, are building on older trends,” said MTA interim Executive Director Thomas Prendergast."]
[null,null,null,null,null,null,null,null,null,null,"Work","Non-work",null,null,{"$f":"ROW()","v":23},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Riders under 30 are flocking to the subways because they are using the system during hours that"]
[null,"Breakdown of above between work and non-work trips.",null,null,null,null,null,null,null,null,0.6,{"$f":"1-K24","v":0.4},"Combined",null,{"$f":"ROW()","v":24},null,"Midnight",8203,{"$f":"R24/R$49","v":3.779177712111705E-3},34078,{"$f":"T24/T$49","v":1.6125368851605724E-2},{"$f":"R24+T24","v":42281},{"$f":"V24/V$49","v":9.8697586821709406E-3},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"were traditionally slow times, such as late nights and weekends, said Mitchell Moss, director of the "]
[null,"Komanoff estimates. Breakdown needed b/c elasticities vary btw work/non-work transit trips. Figs pertain to all subway trips, not merely trips into CBD.",null,null,null,null,null,null,null,null,null,null,"(We use these.)",null,{"$f":"ROW()","v":25},null,"1 a.m.",3492,1.6087880739600235E-3,15234,7.2085764741288095E-3,{"$f":"R25+T25","v":18726},4.3712566183943856E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"NYU Rudin Center for Transportation Policy and Management."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26},null,"2 a.m.",2970,1.3682991350690921E-3,7467,3.533309736925287E-3,{"$f":"R26+T26","v":10437},2.4363347925975757E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"“The entire subway system was built as a way to get people to work,” he said. “Now people are using"]
[null,"Price-elasticity",null,null,"First two columns draw on parameters specified in Elasticities tab. Third column is weighted averages.",null,null,null,null,null,{"$f":"Elasticities!G64","v":-0.09},{"$f":"Elasticities!H64","v":-0.23400000000000001},{"$f":"SUMPRODUCT($K$24:$L$24,K27:L27)","v":-0.14760000000000001},null,{"$f":"ROW()","v":27},null,"3 a.m.",3630,1.6723656095288906E-3,4031,1.9074288937385607E-3,{"$f":"R27+T27","v":7661},1.7883262284267539E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"it as a means of maintaining their social lives. The subways are jammed at midnight, because that’s "]
[null,"Time-elasticity",null,null,null,null,null,null,null,null,{"$f":"Elasticities!G65","v":-0.5},{"$f":"Elasticities!H65","v":-0.55000000000000004},{"$f":"SUMPRODUCT($K$24:$L$24,K28:L28)","v":-0.52},null,{"$f":"ROW()","v":28},null,"4 a.m.",9491,4.3725680440877962E-3,4483,2.1213107741577691E-3,{"$f":"R28+T28","v":13974},3.2619854739636416E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"when the clubs get going.”"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29},null,"5 a.m.",39167,1.8044502432071088E-2,11394,5.3915268705673923E-3,50561,1.1802579615648753E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"He pointed to a recent NYU study that found the Bedford Avenue stop on the L train — the epicenter"]
[null,"Effective Average Subway Fares, 2018",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"(adj. per note in Row \",O19, \")\")","v":"(adj. per note in Row 19)"},null,"Differentiating fares between work and non-work trips was intended to reflect seniors, transfers, etc. ",null,{"$f":"ROW()","v":30},null,"6 a.m.",115255,5.3098759869490982E-2,42898,2.0298904659785854E-2,158153,3.6918046991825659E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"of hipster New York — is just as crowded at midnight as it is during the morning rush hour."]
[null,{"$f":"CONCATENATE(\"Overall Fare (All Rides) is quotient of Farebox Rev. in Row \",O27, \" and Ridership in Row \",O14, \". For Overall Fare (Normalized), divisor is Adj. Ridership in Row \",O20, \".\")","v":"Overall Fare (All Rides) is quotient of Farebox Rev. in Row 27 and Ridership in Row 14. For Overall Fare (Normalized), divisor is Adj. Ridership in Row 20."},null,null,null,null,null,null,null,"Overall","Work","Non-work",null,null,{"$f":"ROW()","v":31},null,"7 a.m.",232135,0.10694616825564435,86014,4.0700964739773894E-2,318149,7.4266310044086056E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"“The city is safer, so more people go out,” Moss said. “And people feel safe on these crowded trains.”"]
[null,null,null,null,null,null,null,"All Rides",null,{"$f":"N12/N11","v":2.0296375024531419},{"$f":"J32","v":2.0296375024531419},{"$f":"(J32-K32*$K$24)/$L$24","v":2.0296375024531419},null,null,{"$f":"ROW()","v":32},null,"8 a.m.",373011,0.1718486965223088,98645,4.6677827641488541E-2,{"$f":"R32+T32","v":471656},0.11009982973434917,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Several national surveys have shown that younger people — wary of high gas prices and the negative "]
[null,null,null,null,null,null,null,"Normalized",null,{"$f":"N12/M21","v":2.1236071173980036},{"$f":"J33","v":2.1236071173980036},{"$f":"(J33-K33*$K$24)/$L$24","v":2.1236071173980036},null,null,{"$f":"ROW()","v":33},null,"9 a.m.",245544,0.11312378546175259,73590,3.4822052168251225E-2,{"$f":"R33+T33","v":319134},7.4496241036776351E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"effects on the environment — are less likely to own a car, preferring to use mass transit instead."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34},null,"10 a.m.",130047,5.9913534551626339E-2,55244,2.6140908411236181E-2,{"$f":"R34+T34","v":185291},4.325293763104316E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"And in New York, the Department of Motor Vehicles reported a sharp drop in the number of drivers"]
[null,"Weekday/Weekend breakout (un-normalized)",null,null,null,null,null,null,null,"Weekdays","Saturdays","Sundays",null,"Weekends",{"$f":"ROW()","v":35},null,"11 a.m.",93309,4.2988088886923209E-2,56876,2.6913154492749784E-2,{"$f":"R35+T35","v":150185},3.5058056992073101E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ages 16 and 17, decreasing from 103,702 in 2009 to 87,721 in 2010."]
[null,{"$f":"CONCATENATE(\"Note: These 2016 data (from source in Cell Q\",2, \"), are used only to derive factors in Rows \",O41, \" & \",O45, \", rather than to establish ridership levels per se.\")","v":"Note: These 2016 data (from source in Cell Q2), are used only to derive factors in Rows 41 & 45, rather than to establish ridership levels per se."},null,null,null,null,null,"Daily",null,5655755,3202388,2555814,{"$f":"M38*1000/M37","v":2861467.163636364},null,{"$f":"ROW()","v":36},null,"12 noon",87140,4.0145988764283061E-2,64156,3.0357977699501635E-2,{"$f":"R36+T36","v":151296},3.5317400477229359E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ridership also grew on nearly every facet of the region’s mass-transit network, with strong growth on "]
[null,null,null,null,null,null,null,"Days/Yr",null,{"$f":"Constants!J24","v":250},{"$f":"Constants!J27","v":52},{"$f":"Constants!$J$29","v":58},{"$f":"K37+L37","v":110},null,{"$f":"ROW()","v":37},null,"1 p.m.",84658,3.900251453760243E-2,75989,3.5957234980476184E-2,{"$f":"R37+T37","v":160647},3.7500227596667893E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Metro-North and Long Island Rail Road — further proof that New Yorkers are ditching their cars."]
[null,null,null,null,null,null,null,"Ann. (000)",null,{"$f":"J36*J37/1000","v":1413938.75},{"$f":"K36*K37/1000","v":166524.17600000001},{"$f":"L36*L37/1000","v":148237.212},{"$f":"K38+L38","v":314761.38800000004},null,{"$f":"ROW()","v":38},null,"2 p.m.",94407,4.3493944930797238E-2,95372,4.5129076768452993E-2,189779,4.4300582600783303E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To accommodate the 1.1 percent boost in riders on Metro-North, the MTA yesterday announced it’s "]
[null,{"$f":"CONCATENATE(\"Daily data are from Rows \",O5, \", \",O6, \", and \",O9, \". Days per year are from 'Constants' worksheet. See text box in 'Constants' tab, Rows \",Constants!O26, \"-\",Constants!O29, \" for reason Sundays value is \",L37, \" rather than \",Constants!J28, \".\")","v":"Daily data are from Rows 5, 6, and 9. Days per year are from 'Constants' worksheet. See text box in 'Constants' tab, Rows 26-29 for reason Sundays value is 58 rather than 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39},null,"3 p.m.",112372,5.1770542224237048E-2,138358,6.5469622148320458E-2,250730,5.8528525682474873E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"increasing service on the Harlem, Hudson and New Haven lines — including running trains every 30"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40},null,"4 p.m.",116941,5.387551149970192E-2,170653,8.0751293228272542E-2,287594,6.7133780621089129E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"minutes instead of hourly at most stations during off-peaks hours."]
[null,"Percentage of subway system weekday rides accounted for by trips entering/leaving/using CBD",null,null,null,null,null,null,null,null,null,null,null,{"$f":"V49/R5","v":0.76760669755207322},{"$f":"ROW()","v":41},null,"5 p.m.",130968,6.0337845495531603E-2,272485,0.12893717740271687,403453,9.4179034308505299E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"LIRR ridership grew by .9 percent, in large part due to a high number of passengers going to the new "]
[null,{"$f":"CONCATENATE(\"Calculated as one ratio divided by another; first is ratio of projected total weekday subway trips entering or leaving hub in Row \",O83, \" divided by all weekday subway trips in Row \",O36, \". Second is ratio of projected annual subway trips in Row \",O13, \" divided by annual subway trips in Row \",O3, \".\")","v":"Calculated as one ratio divided by another; first is ratio of projected total weekday subway trips entering or leaving hub in Row 83 divided by all weekday subway trips in Row 36. Second is ratio of projected annual subway trips in Row 13 divided by annual subway trips in Row 3."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42},null,"6 p.m.",97780,4.5047908897998597E-2,266455,0.12608384169712433,364235,8.502427931223322E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Barclays Center in Brooklyn."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43},null,"7 p.m.",65549,3.0198868688432298E-2,177213,8.3855419634356623E-2,242762,5.6668535682722308E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Meanwhile, officials warned that the subway system might need to shut down more than usual to do "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44},null,"8 p.m.",46644,2.1489207022277017E-2,131564,6.2254769282019347E-2,178208,4.1599535375992029E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"extra repair work because of damages incurred during Sandy."]
[null,"Factor to multiply weekday figs. in next sections to extrapolate from CBD to all subway trips",null,null,null,null,null,null,null,null,null,null,null,{"$f":"1/N41","v":1.3027504882240317},{"$f":"ROW()","v":45},null,"9 p.m.",32168,1.4820015682458774E-2,98154,4.6445491351033166E-2,130322,3.0421387644045346E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The feds require the MTA to complete Sandy-related work that the government is funding within two"]
[null,{"$f":"CONCATENATE(\"Reciprocal of figure in Row \",O41, \".\")","v":"Reciprocal of figure in Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46},null,"10 p.m.",25245,1.1630542648087284E-2,70060,3.3151691464977318E-2,95305,2.2247282495785378E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"years, which means the agency will have to rush to get the work done, Prendergast said."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47},null,"11 p.m.",20452,9.4223750540178702E-3,62903,2.9765070628339538E-2,83355,1.9457764361116313E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"That means that repairs will likely be scheduled during times that impact a majority of riders, he said."]
[null,"2. Hourly Subway Trips to CBD, Baseline (weekdays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49},null,"TOTAL",{"$f":"SUM(R24:R47)","v":2170578},0.99999999999999978,2113316,1.0000000000000002,4283894,1]
[null,"Table below presents projected 2018 hr-by-hr weekday subway ridership (# passengers) entering and leaving CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51},null,"Source: NYMTC, Hub-Bound Travel Report 2016, Excel file, \"Subway by Sector, NYC Transit Summary, 2016-Inbound & 2016-Outbound. Excel file available from NYMTC Web site."]
[null,"These are weekday data. They represent estimated 2016 turnstile counts, by hour.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,{"$f":"CONCATENATE(\"Each figure prorates 2016 hourly figures in Array in Rows \",O24, \"-\",O47,\", Columns Q-W (most recent available) by ratio of projected 2018 ridership in Cell L\",O13, \" to actual 2016 ridership in Cell J\",O13, \".\")","v":"Each figure prorates 2016 hourly figures in Array in Rows 24-47, Columns Q-W (most recent available) by ratio of projected 2018 ridership in Cell L13 to actual 2016 ridership in Cell J13."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,2015,null,"Entering Hub",null,null,"Leaving Hub",null,null,"Entering + Leaving",null,null,"Proposed Nominal Fare",null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56},"Proposed Fares",null,{"$f":"CONCATENATE(\"Proposed fares at left have been 'protected' to avoid upsetting data flow. User may change them \" & \"by going to 'Policy Levers' tab and entering different values in relevant column(s) of Rows \",'Policy Levers'!O218, \"-\",'Policy Levers'!O223, \".\")","v":"Proposed fares at left have been 'protected' to avoid upsetting data flow. User may change them by going to 'Policy Levers' tab and entering different values in relevant column(s) of Rows 218-223."},null,{"$f":"CONCATENATE(\"Or, you can override blue fare 'box' at left (puns intended) by stipulating *factor* increase to current fare. Enter your change in 'Policy Levers,' Row \",'Policy Levers'!O224, \". Though it won't be automatically reflected in blue box, the factor will appear in magenta box to right and will 'drive' the new fare(s) in the model. Default value is one.\")","v":"Or, you can override blue fare 'box' at left (puns intended) by stipulating *factor* increase to current fare. Enter your change in 'Policy Levers,' Row 224. Though it won't be automatically reflected in blue box, the factor will appear in magenta box to right and will 'drive' the new fare(s) in the model. Default value is one."},null,null,{"$f":"'Policy Levers'!K224","v":1}]
[null,"Hr starting",null,"Riders","% Max",null,"Riders","% Max",null,"Riders","% Max","% All","Bin","Fare ",{"$f":"ROW()","v":57},"Fare Bin","Fare"]
[null,"Midnight",null,{"$f":"R24*$N$11/$L$11","v":7899.0003522283623},{"$f":"D58/MAX(D$58:D$81)","v":2.1991308567307667E-2},null,{"$f":"T24*$N$11/$L$11","v":32815.083994055603},{"$f":"G58/MAX(G$58:G$81)","v":0.12506376497788868},null,{"$f":"D58+G58","v":40714.084346283969},{"$f":"J58/MAX(J$58:J$81)","v":8.9643723391624422E-2},{"$f":"J58/$J$83","v":9.8697586821709423E-3},1,{"$f":"VLOOKUP(M58,$P$58:$Q$63,2)","v":2.75},{"$f":"ROW()","v":58},1,{"$f":"'Policy Levers'!K218","v":2.75}]
[null,"1 a.m.",null,3362.5879836622503,{"$f":"D59/MAX(D$58:D$81)","v":9.3616542139507951E-3},null,14669.434519791159,{"$f":"G59/MAX(G$58:G$81)","v":5.5907664642090397E-2},null,{"$f":"D59+G59","v":18032.022503453409},{"$f":"J59/MAX(J$58:J$81)","v":3.9702664653900301E-2},{"$f":"J59/$J$83","v":4.3712566183943865E-3},1,2.75,{"$f":"ROW()","v":59},2,{"$f":"'Policy Levers'!K219","v":2.75}]
[null,"2 a.m.",null,2859.933078887997,7.9622316768138222E-3,null,7190.2761953052759,2.74033433033011E-2,null,10050.209274193272,2.2128415624946995E-2,2.4363347925975757E-3,1,2.75,{"$f":"ROW()","v":60},3,{"$f":"'Policy Levers'!K220","v":2.75}]
[null,"3 a.m.",null,3495.4737630853292,9.7316164938835593E-3,null,3881.612875756739,1.4793474870176342E-2,null,7377.0866388420682,1.6242770154519397E-2,1.7883262284267541E-3,1,2.75,{"$f":"ROW()","v":61},4,{"$f":"'Policy Levers'!K221","v":2.75}]
[null,"4 a.m.",null,9139.2676268437626,2.5444289846680127E-2,null,4316.8619503888513,1.645228177697855E-2,null,13456.129577232614,2.9627525145444988E-2,3.2619854739636416E-3,1,2.75,{"$f":"ROW()","v":62},5,{"$f":"'Policy Levers'!K222","v":2.75}]
[null,"5 a.m.",null,37715.487845389282,0.10500226534874307,null,10971.743266279404,4.1815145787841526E-2,null,48687.231111668683,0.10719889071696322,1.1802579615648753E-2,2,2.75,{"$f":"ROW()","v":63},6,{"$f":"'Policy Levers'!K223","v":2.75}]
[null,"6 a.m.",null,110983.69932903571,0.30898552589601919,null,41308.218591965415,0.15743251922124155,null,152291.91792100112,0.33531429686042374,3.6918046991825666E-2,3,2.75,{"$f":"ROW()","v":64}]
[null,"7 a.m.",null,223532.1768577997,0.62232749168255097,null,82826.358197802067,0.31566508248160452,null,306358.53505560174,0.67453610258323859,7.4266310044086056E-2,4,2.75,{"$f":"ROW()","v":65},"Fare bins are set by user (you). They determine fare amounts, based on figures in blue box directly above."]
[null,"8 a.m.",null,359187.3729592897,1,null,94989.258776736169,0.36201992770244235,null,454176.63173602585,1,0.11009982973434916,6,2.75,{"$f":"ROW()","v":66}]
[null,"9 a.m.",null,236444.24509174217,0.65827549321601786,null,{"$f":"T33*$N$11/$L$11","v":70862.786288002579},0.2700699121052535,null,307307.03137974476,0.6766244890343811,7.4496241036776364E-2,5,2.75,{"$f":"ROW()","v":67}]
[null,"10 a.m.",null,125227.51417850077,0.34864119288707307,null,53196.681148177937,0.20274143530836558,null,178424.19532667872,0.39285199382600883,4.325293763104316E-2,3,2.75,{"$f":"ROW()","v":68}]
[null,"11 a.m.",null,89851.008639043794,0.25015079984236394,null,54768.199930920433,0.20873075582142137,null,144619.20856996422,0.31842062859372083,3.5058056992073101E-2,3,2.75,{"$f":"ROW()","v":69}]
[null,"12 noon",null,83910.629122659942,0.23361241357493481,null,61778.406265703132,0.23544782281593482,null,145689.03538836306,0.32077615889546618,3.5317400477229359E-2,3,2.75,{"$f":"ROW()","v":70}]
[null,"1 p.m.",null,81520.610973905714,0.22695845430831796,null,73172.880381016832,0.27887406646237412,null,154693.49135492253,0.34060204895093033,3.7500227596667886E-2,3,2.75,{"$f":"ROW()","v":71}]
[null,"2 p.m.",null,90908.31723184482,0.25309441276530725,null,91837.554747375762,0.35000825733526619,null,182745.8719792206,0.40236740336177224,4.4300582600783317E-2,3,2.75,{"$f":"ROW()","v":72}]
[null,"3 p.m.",null,108207.54206761009,0.3012565313087282,null,133230.51209723417,0.50776373011358433,null,241438.05416484427,0.53159506080702901,5.8528525682474887E-2,3,2.75,{"$f":"ROW()","v":73}]
[null,"4 p.m.",null,112607.21689503071,0.3135054998378064,null,164328.67330352636,0.62628401563388814,null,276935.89019855706,0.60975371881201557,6.7133780621089129E-2,4,2.75,{"$f":"ROW()","v":74}]
[null,"5 p.m.",null,126114.38231508523,0.35111028897271129,null,262386.82323259115,1,null,388501.20554767636,0.85539672982003834,9.4179034308505299E-2,6,2.75,{"$f":"ROW()","v":75}]
[null,"6 p.m.",null,94156.31530426543,0.2621370415349682,null,256580.29243606099,0.97787034148668739,null,350736.60774032644,0.77224714622521506,8.5024279312233234E-2,5,2.75,{"$f":"ROW()","v":76}]
[null,"7 p.m.",null,63119.782285531743,0.17572940208197613,null,170645.56252827559,0.65035873534322985,null,233765.34481380734,0.51470139254032599,5.6668535682722308E-2,3,2.75,{"$f":"ROW()","v":77}]
[null,"8 p.m.",null,44915.393445000576,0.12504725061727404,null,126688.29481172403,0.48283024753656162,null,171603.68825672462,0.37783469308139839,4.1599535375992036E-2,2,2.75,{"$f":"ROW()","v":78}]
[null,"9 p.m.",null,30975.86777160575,8.6238743629544451E-2,null,94516.45502531057,0.36021799365102664,null,125492.32279691633,0.27630730871652226,3.0421387644045349E-2,2,2.75,{"$f":"ROW()","v":79}]
[null,"10 p.m.",null,24309.43117054797,6.7678969252917484E-2,null,67463.606567977447,0.25711507055434241,null,91773.037738525425,0.20206464033108879,2.2247282495785378E-2,2,2.75,{"$f":"ROW()","v":80}]
[null,"11 p.m.",null,19694.057686672495,5.4829482240470129E-2,null,60571.841906158799,0.23084940455437913,null,80265.899592831294,0.17672837830961549,1.9457764361116313E-2,1,2.75,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"TOTAL",null,{"$f":"SUM(D58:D81)","v":2090137.3139752699},null,null,{"$f":"SUM(G58:G81)","v":2034997.4190381365},null,null,{"$f":"SUM(J58:J81)","v":4125134.7330134055},null,{"$f":"SUM(L58:L81)","v":1},null,{"$f":"SUMPRODUCT(L58:L81,N58:N81)","v":2.7499999999999996},{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Figures below were calculated by Komanoff in August 2017 as part of an exercise to gauge the impact of variable fares. They were derived using 2012 baseline hour by hour data "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Wghted avg proposed weekday fare, before time-switching.",{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Projected Shifts in Subway Trip Times under Time-Variable Fares "]
[null,"3. Changes in Hourly Subway Trips to CBD from New Fares and (possible) Service Investments",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(trips shown are all weekday trips that use the Manhattan CBD, 2012 average)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:","Source:",null,"Source:",null,"Source:",null,null,"Source:"]
[null,"This section estimates the number of rides that will increase, disappear and time-switch due to changes in fare (including possible time-variation) along with time-varying cordon fee.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O110,\"\")","v":"Row 110"},{"$f":"CONCATENATE(\"Row \",O282,\"\")","v":"Row 282"},null,{"$f":"CONCATENATE(\"Row \",O282,\"\")","v":"Row 282"},null,{"$f":"CONCATENATE(\"Row \",O282,\"\")","v":"Row 282"},null,null,{"$f":"CONCATENATE(\"Row \",O282,\"\")","v":"Row 282"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hour starting","Trips, baseline","Fare Scenario #1",null,"Fare Scenario #2",null,"Fare Scenario #3",null,null,"Fare Scenario #4"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trips","∆ from Base","Trips","∆ from Base","Trips","∆ from Base",null,"Trips","∆ from Base"]
[null,"Premise: To estimate subway passengers' propensity to shift travel time, we applied the Port Authority analysis of time-shifting by drivers using the PA's Hudson River crossings (see detailed explanation in Time Switching worksheet), with three adjustments to reflect: (1) subway passengers' lesser price-sensitivity and, thus, lesser propensity to time-shift ; (2) subway passengers' lesser monetary savings for time-shifting; (3) the fewer minutes or hours that subway riders must time-shift to reach the lower-fare period, compared to the three-hour duration of the PA's periods for drivers.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Midnight",{"$f":"J58","v":40714.084346283969},29152.407925076634,{"$f":"AT93/$AS93-1","v":-0.28397240431277404},29837.337321038089,{"$f":"AV93/$AS93-1","v":-0.26714949383943631},29380.71772373045,{"$f":"AX93/$AS93-1","v":-0.27836476748832817},null,29837.337321038089,{"$f":"BA93/$AS93-1","v":-0.26714949383943631}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1 a.m.",{"$f":"J59","v":18032.022503453409},8825.451964414855,{"$f":"AT94/$AS94-1","v":-0.51056782661375633},9032.8040122665807,{"$f":"AV94/$AS94-1","v":-0.4990687256220615},8894.5693136987629,{"$f":"AX94/$AS94-1","v":-0.50673479294985813},null,9032.8040122665807,-0.4990687256220615]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"2 a.m.",10050.209274193272,4459.7459949898093,-0.55625341987241428,4564.5267437478669,-0.5458276918204511,4494.6729112424955,-0.55277817718842659,null,4564.5267437478669,-0.5458276918204511]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3 a.m.",7377.0866388420682,6518.4048155053888,-0.11639850057006529,6671.5532993078505,-9.5638478179098652E-2,6569.45431010621,-0.10947849310640967,null,6671.5532993078505,-9.5638478179098652E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"4 a.m.",13456.129577232614,15926.550366319068,0.18359074018329435,16240.451506848356,0.20691848377610267,16031.18407982883,0.19136665471423031,null,16240.451506848356,0.20691848377610267]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"5 a.m.",48687.231111668683,55554.757827844704,0.14105395931070119,56438.320571551434,0.15920168970186266,55849.278742413611,0.14710320277442168,null,56438.320571551434,0.15920168970186266]
[null,"We recognize that it's unusual to apply an empirical relationship observed for drivers, to straphangers. Given the absence of empirical data to measure subway users' responses to institution of time-of-day fares, and absent any a priori reason not to do so, we regard this step as reasonable.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"6 a.m.",152291.91792100112,157310.40168466326,3.2953053794130938E-2,171259.48145233133,0.12454740731001435,164744.52015738827,8.1767978277394349E-2,null,176002.37097583155,0.15569081654832018]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"7 a.m.",306358.53505560174,375942.93516144523,0.22713387140728569,355322.77371556807,0.15982658570644914,350165.78849416418,0.1429934159680315,null,322708.67571780272,5.3369300317464896E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"8 a.m.",454176.63173602585,439067.26554865995,-3.3267599280950466E-2,432962.03917904384,-4.671000459863428E-2,463924.29010719876,2.1462263115374025E-2,null,479543.23685481813,5.5851850021063409E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"9 a.m.",307307.03137974476,314537.59759570885,2.3528801744302275E-2,305566.40309924894,-5.6641342460690414E-3,304428.18805278931,-9.3679708987784993E-3,null,292681.97811005171,-4.7591014120404562E-2]
[null,"Because the price-elasticity of subway ridership differs between work and non-work trips (see Elasticities worksheet), it's necessary to dichotomize subway trips into work and non-work trips, below.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"10 a.m.",178424.19532667872,181573.48151448451,1.7650555643755172E-2,188334.69525307298,5.5544596450324502E-2,184610.66050636896,3.4672792937994634E-2,null,189623.35115028505,6.2767024411132466E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"11 a.m.",144619.20856996422,154698.89338915297,6.9698105243829911E-2,157747.90010790652,9.0781104859876782E-2,155715.22896207083,7.6725771782512275E-2,null,157747.90010790652,9.0781104859876782E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105},1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,null,null,null,null,"12 noon",145689.03538836306,155441.1332372216,6.6937761121572237E-2,158504.76898294559,8.7966356290434922E-2,156462.34515246295,7.3947292844526613E-2,null,158504.76898294559,8.7966356290434922E-2]
[null,"A. Subway Trip Gains/Losses due to Changes in Subway Trip Price + Duration (w/o time-shifting)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1 p.m.",154693.49135492253,164433.12339286561,6.2960839222361731E-2,167985.61261989118,8.5925536676082492E-2,165617.28646854081,7.0615738373602133E-2,null,167985.61261989118,8.5925536676082492E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"2 p.m.",182745.8719792206,190096.70420749046,4.0224340767082811E-2,194203.64130055226,6.2697828395458899E-2,191465.68323851106,4.771550330987484E-2,null,194203.64130055226,6.2697828395458899E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Hour beginning:",{"$f":"ROW()","v":108},"Midnight","1 a.m.","2 a.m.","3 a.m.","4 a.m.","5 a.m.","6 a.m.","7 a.m.","8 a.m.","9 a.m.","10 a.m.","11 a.m.","Noon","1 p.m.","2 p.m.","3 p.m.","4 p.m.","5 p.m.","6 p.m.","7 p.m.","8 p.m.","9 p.m.","10 p.m.","11 p.m.",null,null,null,null,"3 p.m.",241438.05416484427,249285.5642278227,3.2503202902805395E-2,271764.30011698371,0.12560673609237205,260992.10618565421,8.098993378839614E-2,null,278517.19130381593,0.15357619273080902]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"4 p.m.",276935.89019855706,329544.63124228804,0.18996721951066609,302524.09413398674,9.2397572294018904E-2,300790.73734588001,8.6138517944422288E-2,null,268680.69888622523,-2.9809033803502416E-2]
[null,"Baseline Ridership entering + leaving hub in hr (actual riders, not normalized by % in",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Cell L\",O18,\")\")","v":"Cell L18)"},"This sub-section assigns CBD subway trips to work- vs. non-work-related trips, and also approximates the number of each that are purchased on a pay-per-ride basis vs. unlimited passes. The first split is necessary because of different elasticities for work vs. non-work trips. The second is necessary because the effective fare differs between the two fare media. All of this is to ensure that price-elasticity (and time-elasticity) is modeled rigorously.",null,{"$f":"ROW()","v":110},{"$f":"J58","v":40714.084346283969},{"$f":"J59","v":18032.022503453409},{"$f":"J60","v":10050.209274193272},{"$f":"J61","v":7377.0866388420682},{"$f":"J62","v":13456.129577232614},{"$f":"J63","v":48687.231111668683},{"$f":"J64","v":152291.91792100112},{"$f":"J65","v":306358.53505560174},{"$f":"J66","v":454176.63173602585},{"$f":"J67","v":307307.03137974476},{"$f":"J68","v":178424.19532667872},{"$f":"J69","v":144619.20856996422},{"$f":"J70","v":145689.03538836306},{"$f":"J71","v":154693.49135492253},{"$f":"J72","v":182745.8719792206},{"$f":"J73","v":241438.05416484427},{"$f":"J74","v":276935.89019855706},{"$f":"J75","v":388501.20554767636},{"$f":"J76","v":350736.60774032644},{"$f":"J77","v":233765.34481380734},{"$f":"J78","v":171603.68825672462},{"$f":"J79","v":125492.32279691633},{"$f":"J80","v":91773.037738525425},{"$f":"J81","v":80265.899592831294},{"$f":"SUM(P110:AM110)","v":4125134.7330134055},null,null,null,"5 p.m.",388501.20554767636,371195.01748592587,-4.4546034387084266E-2,365861.43208566582,-5.8274654334971476E-2,394097.92409681308,1.4405923248672847E-2,null,408517.21183337795,5.1521091826432608E-2]
[null,"Percentages in this row at right are each hour's share of the 24-h total.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111},{"$f":"P110/$AN$110","v":9.8697586821709423E-3},{"$f":"Q110/$AN$110","v":4.3712566183943865E-3},2.4363347925975757E-3,1.7883262284267541E-3,3.2619854739636416E-3,1.1802579615648753E-2,3.6918046991825666E-2,7.4266310044086056E-2,0.11009982973434916,7.4496241036776364E-2,4.325293763104316E-2,3.5058056992073101E-2,3.5317400477229359E-2,3.7500227596667886E-2,4.4300582600783317E-2,5.8528525682474887E-2,6.7133780621089129E-2,9.4179034308505299E-2,8.5024279312233234E-2,5.6668535682722308E-2,4.1599535375992036E-2,3.0421387644045349E-2,2.2247282495785378E-2,1.9457764361116313E-2,1,null,null,null,"6 p.m.",350736.60774032644,370318.70115494623,5.583133605807622E-2,356666.77852445276,1.6907761132584298E-2,356107.35031021212,1.5312751652835743E-2,null,338928.80928913975,-3.366571435830501E-2]
[null,"Assumed percentage of all subway trips that are work-related",null,null,null,null,null,null,null,null,{"$f":"K24","v":0.6},null,null,null,{"$f":"ROW()","v":112},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"7 p.m.",233765.34481380734,240805.84024563126,3.0117789432953179E-2,251298.1494594574,7.5001727307419497E-2,245490.93052465434,5.0159640729408927E-2,null,253226.42794847043,8.3250505545052977E-2]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O24, \".\")","v":"Copied from Row 24."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"8 p.m.",171603.68825672462,177354.95818928504,3.3514838701813598E-2,181856.27469567838,5.9745723085016467E-2,178855.39702474949,4.2258466829547814E-2,null,181856.27469567838,5.9745723085016467E-2]
[null,{"$f":"CONCATENATE(\"Factor to multiply percent in Cell K\",O112, \" to reflect hourly variations\")","v":"Factor to multiply percent in Cell K112 to reflect hourly variations"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114},{"$f":"'Weekday Hours'!$Q$23","v":0.4},{"$f":"'Weekday Hours'!$Q$23","v":0.4},{"$f":"'Weekday Hours'!$Q$23","v":0.4},{"$f":"'Weekday Hours'!$Q$23","v":0.4},{"$f":"'Weekday Hours'!$Q$23","v":0.4},{"$f":"'Weekday Hours'!$Q$24","v":1.5},{"$f":"'Weekday Hours'!$Q$25","v":1.6},{"$f":"'Weekday Hours'!$Q$25","v":1.6},{"$f":"'Weekday Hours'!$Q$25","v":1.6},{"$f":"'Weekday Hours'!$Q$26","v":1.3},{"$f":"'Weekday Hours'!$Q$27","v":1.1000000000000001},{"$f":"'Weekday Hours'!$Q$27","v":1.1000000000000001},{"$f":"'Weekday Hours'!$Q$27","v":1.1000000000000001},{"$f":"'Weekday Hours'!$Q$27","v":1.1000000000000001},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$28","v":0.75},{"$f":"'Weekday Hours'!$Q$29","v":0.6},{"$f":"'Weekday Hours'!$Q$29","v":0.6},{"$f":"'Weekday Hours'!$Q$29","v":0.6},{"$f":"'Weekday Hours'!$Q$23","v":0.4},null,null,null,null,"9 p.m.",125492.32279691633,137905.89993617861,9.8919016419443562E-2,141405.98874141648,0.12680987641174801,139072.59620459125,0.10821596975021186,null,141405.98874141648,0.12680987641174801]
[null,"From multiples chosen for auto trips in By Hour worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"10 p.m.",91773.037738525425,105226.14614773713,0.14659107664651505,107896.81401851325,0.17569186634016387,106116.36877132917,0.15629133987773147,null,107896.81401851325,0.17569186634016387]
[null,"Percentage of trips in each hour that are work-related, unadjusted",null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT(P110:AM110,P116:AM116)/AN110","v":0.60735378839905951},null,null,null,{"$f":"ROW()","v":116},{"$f":"P114*$K$112","v":0.24},0.24,0.24,0.24,0.24,0.89999999999999991,0.96,0.96,0.96,0.78,0.66,0.66,0.66,0.66,0.44999999999999996,0.44999999999999996,0.44999999999999996,0.44999999999999996,0.44999999999999996,0.44999999999999996,0.36,0.36,0.36,0.24,null,null,null,null,"11 p.m.",80265.899592831294,75938.208959824755,-5.3916926801541143E-2,77865.541113076382,-2.9905084125778525E-2,76580.653010908631,-4.5912979242953678E-2,null,77865.541113076382,-2.9905084125778525E-2]
[null,{"$f":"CONCATENATE(\"Each figure is product of Row \",O114, \" entry and figure in Cell L\",O112, \". Fig. in Cell L\",O116, \" is trip-weighted avg. \")","v":"Each figure is product of Row 114 entry and figure in Cell L112. Fig. in Cell L116 is trip-weighted avg. "},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All 24 hours",{"$f":"SUM(AS93:AS116)","v":4125134.7330134055},{"$f":"SUM(AT93:AT116)","v":4311113.8222154826},4.5084367236223555E-2,{"$f":"SUM(AV93:AV116)","v":4311811.6820545522},4.5253539853419511E-2,{"$f":"SUM(AX93:AX116)","v":4316457.9316953067},4.6379866613990517E-2,null,{"$f":"SUM(BA93:BA116)","v":4318681.4871045575},4.6918892743599283E-2]
[null,"Percentage of trips in each hour that are work-related, adjusted.",null,null,null,null,null,null,null,null,{"$f":"SUMPRODUCT(P110:AM110,P118:AM118)/AN110","v":0.59725008368554433},null,null,null,{"$f":"ROW()","v":118},0.4,0.4,0.4,0.4,0.6,0.8,0.8,0.8,0.8,0.8,0.6,0.6,0.6,0.5,0.5,0.5,0.5,0.75,0.5,0.4,0.3,0.3,0.3,0.3]
[null,{"$f":"CONCATENATE(\"Adj's ensure wghtd avg % of work trips in K\",O116, \" matches assumed % in K\",O112, \". (Some ∆'s 11-Apr-2015.)\")","v":"Adj's ensure wghtd avg % of work trips in K116 matches assumed % in K112. (Some ∆'s 11-Apr-2015.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fare Scenario #1: Trips in yellow hours are $5.00. All other trips are $2.25.",null,null,null,null,null,null,null,null,"This scenario used $4.00 fare during 7-10 a.m. and 4-7 p.m.; $1.50 all other hours."]
[null,"Number of trips entering or leaving hub that are work-related",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120},{"$f":"P118*P110","v":16285.633738513588},{"$f":"Q118*Q110","v":7212.8090013813635},4020.0837096773089,2950.8346555368275,8073.6777463395683,38949.784889334951,121833.53433680091,245086.8280444814,363341.30538882071,245845.62510379581,107054.51719600723,86771.525141978535,87413.421233017827,77346.745677461266,91372.935989610298,120719.02708242214,138467.94509927853,291375.90416075726,175368.30387016322,93506.13792552294,51481.106477017383,37647.696839074895,27531.911321557625,24079.769877849387,{"$f":"SUM(P120:AM120)","v":2463737.0645064018},null,null,null,"Fare Scenario #2: Trips in yellow hours are $6.00. Trips in blue hours are $3.00. All other trips are $1.50."]
[null,{"$f":"CONCATENATE(\"Each column figure is product of Row \",O118, \" column entry and Row \",O110, \" entry.\")","v":"Each column figure is product of Row 118 column entry and Row 110 entry."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fare Scenario #3: Trips in yellow hours are $4.25. Trips in blue hours are $3.00. All other trips are $2.00."]
[null,"Of which these are purchased on pay-per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122},{"$f":"P120*Transit!$H$66","v":8079.8846478145178},{"$f":"Q120*Transit!$H$66","v":3578.5321992141776},{"$f":"R120*Transit!$H$66","v":1994.50713250018},{"$f":"S120*Transit!$H$66","v":1464.0144813724137},{"$f":"T120*Transit!$H$66","v":4005.6399352626495},{"$f":"U120*Transit!$H$66","v":19324.379635209662},{"$f":"V120*Transit!$H$66","v":60445.968482571814},{"$f":"W120*Transit!$H$66","v":121596.33030522177},{"$f":"X120*Transit!$H$66","v":180266.60076391776},{"$f":"Y120*Transit!$H$66","v":121972.79663185062},{"$f":"Z120*Transit!$H$66","v":53113.570147756662},{"$f":"AA120*Transit!$H$66","v":43050.453247275007},{"$f":"AB120*Transit!$H$66","v":43368.920827644033},{"$f":"AC120*Transit!$H$66","v":38374.48348600608},{"$f":"AD120*Transit!$H$66","v":45333.377538894281},{"$f":"AE120*Transit!$H$66","v":59893.021621607048},{"$f":"AF120*Transit!$H$66","v":68698.893870874861},{"$f":"AG120*Transit!$H$66","v":144561.99448990281},{"$f":"AH120*Transit!$H$66","v":87006.479999784788},{"$f":"AI120*Transit!$H$66","v":46391.73522084974},{"$f":"AJ120*Transit!$H$66","v":25541.615914673188},{"$f":"AK120*Transit!$H$66","v":18678.367240707707},{"$f":"AL120*Transit!$H$66","v":13659.56469265088},{"$f":"AM120*Transit!$H$66","v":11946.834006147779},{"$f":"SUM(P122:AM122)","v":1222347.9665197104},null,null,null,"All scenarios are revenue-neutral w/r/t current flat pricing. Farebox revenues rise by $20 million in Scenario #1, $15 million in Scenario #2., and $5 million in Scenario #3. Those variations are less than 1% of baseline farebox revenue of $3.5 billion."]
[null,"And these are purchased with unlimited fare cards",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123},{"$f":"P120-P122","v":8205.7490906990715},{"$f":"Q120-Q122","v":3634.2768021671859},2025.5765771771289,1486.8201741644139,4068.0378110769188,19625.40525412529,61387.565854229091,123490.49773925963,183074.70462490295,123872.82847194519,53940.947048250571,43721.071894703528,44044.500405373794,38972.262191455186,46039.558450716017,60826.005460815089,69769.051228403667,146813.90967085445,88361.82387037843,47114.402704673201,25939.490562344195,18969.329598367189,13872.346628906746,12132.935871701608,{"$f":"SUM(P123:AM123)","v":1241389.0979866905}]
[null,{"$f":"CONCATENATE(\"Rows \",O122,\" & \",O123,\" apply, to Row \",O120,\", subway shares of pay-per and unlimiteds from 'Transit' tab, Cell H\",Transit!$O$66,\".\")","v":"Rows 122 & 123 apply, to Row 120, subway shares of pay-per and unlimiteds from 'Transit' tab, Cell H66."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Number of trips entering or leaving hub that are not work-related",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125},{"$f":"P110-P120","v":24428.450607770381},10819.213502072045,6030.1255645159636,4426.2519833052411,5382.4518308930456,9737.4462223337323,30458.383584200215,61271.707011120336,90835.326347205148,61461.406275948946,71369.678130671484,57847.683427985685,58275.614155345233,77346.745677461266,91372.935989610298,120719.02708242214,138467.94509927853,97125.301386919105,175368.30387016322,140259.20688828442,120122.58177970724,87844.625957841432,64241.126416967803,56186.129714981907,{"$f":"SUM(P125:AM125)","v":1661397.6685070049},null,null,null,"Results assume zero incremental cost for the roughly half of subway trips that are made with Unlimited farecards. Extending peak surcharges to those trips would add to time-switching."]
[null,{"$f":"CONCATENATE(\"Each column figure is Row \",O110, \" column entry less Row \",O120, \" entry.\")","v":"Each column figure is Row 110 column entry less Row 120 entry."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Of which these are purchased on pay-per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127},{"$f":"P125*Transit!$H$66","v":12119.826971721775},{"$f":"Q125*Transit!$H$66","v":5367.7982988212661},{"$f":"R125*Transit!$H$66","v":2991.76069875027},{"$f":"S125*Transit!$H$66","v":2196.0217220586205},{"$f":"T125*Transit!$H$66","v":2670.4266235084328},{"$f":"U125*Transit!$H$66","v":4831.0949088024126},{"$f":"V125*Transit!$H$66","v":15111.492120642948},{"$f":"W125*Transit!$H$66","v":30399.082576305434},{"$f":"X125*Transit!$H$66","v":45066.650190979424},{"$f":"Y125*Transit!$H$66","v":30493.199157962652},{"$f":"Z125*Transit!$H$66","v":35409.046765171108},{"$f":"AA125*Transit!$H$66","v":28700.302164850003},{"$f":"AB125*Transit!$H$66","v":28912.613885096027},{"$f":"AC125*Transit!$H$66","v":38374.48348600608},{"$f":"AD125*Transit!$H$66","v":45333.377538894281},{"$f":"AE125*Transit!$H$66","v":59893.021621607048},{"$f":"AF125*Transit!$H$66","v":68698.893870874861},{"$f":"AG125*Transit!$H$66","v":48187.33149663428},{"$f":"AH125*Transit!$H$66","v":87006.479999784788},{"$f":"AI125*Transit!$H$66","v":69587.602831274606},{"$f":"AJ125*Transit!$H$66","v":59597.103800904108},{"$f":"AK125*Transit!$H$66","v":43582.856894984652},{"$f":"AL125*Transit!$H$66","v":31872.317616185392},{"$f":"AM125*Transit!$H$66","v":27875.94601434482},{"$f":"SUM(P127:AM127)","v":824278.73125616543}]
[null,"And these are purchased with unlimited fare cards",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128},{"$f":"P125-P127","v":12308.623636048605},{"$f":"Q125-Q127","v":5451.4152032507791},3038.3648657656936,2230.2302612466206,2712.0252073846127,4906.3513135313196,15346.891463557267,30872.624434814901,45768.676156225723,30968.207117986294,35960.631365500376,29147.381263135681,29363.000270249206,38972.262191455186,46039.558450716017,60826.005460815089,69769.051228403667,48937.969890284825,88361.82387037843,70671.604057009812,60525.47797880313,44261.76906285678,32368.808800782412,28310.183700637088,{"$f":"SUM(P128:AM128)","v":837118.93725083943}]
[null,{"$f":"CONCATENATE(\"Rows \",O127,\" and \",O128,\" apply, to Row \",O125,\", subway ride shares of pay-per and unlimiteds from 'Transit' tab, Cell H\",Transit!$O$66,\".\")","v":"Rows 127 and 128 apply, to Row 125, subway ride shares of pay-per and unlimiteds from 'Transit' tab, Cell H66."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Number of trips entering or leaving hub that are purchased on pay-per-ride basis",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O122,\" and \",O127,\".\")","v":"Sum of Rows 122 and 127."},null,null,{"$f":"ROW()","v":130},{"$f":"P122+P127","v":20199.711619536294},{"$f":"Q122+Q127","v":8946.3304980354442},4986.2678312504504,3660.0362034310342,6676.0665587710828,24155.474544012075,75557.460603214757,151995.41288152721,225333.25095489717,152465.99578981329,88522.61691292777,71750.755412125014,72281.53471274006,76748.96697201216,90666.755077788563,119786.0432432141,137397.78774174972,192749.32598653709,174012.95999956958,115979.33805212434,85138.719715577288,62261.224135692362,45531.88230883627,39822.780020492602,{"$f":"SUM(P130:AM130)","v":2046626.6977758759}]
[null,"Number of trips entering or leaving hub that are purchased with unlimited cards",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O123,\" and \",O128,\".\")","v":"Sum of Rows 123 and 128."},null,null,{"$f":"ROW()","v":131},{"$f":"P123+P128","v":20514.372726747679},{"$f":"Q123+Q128","v":9085.6920054179645},5063.9414429428225,3717.0504354110344,6780.0630184615311,24531.756567656608,76734.457317786364,154363.12217407452,228843.38078112868,154841.03558993147,89901.578413750947,72868.453157839205,73407.500675623,77944.524382910371,92079.116901432033,121652.01092163018,139538.10245680733,195751.87956113927,176723.64774075686,117786.00676168301,86464.968541147333,63231.098661223965,46241.155429689155,40443.119572338692,{"$f":"SUM(P131:AM131)","v":2078508.03523753}]
[null,"Current Normalized Fare ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132},{"$f":"$K$33*P116+$L$33*(1-P116)","v":2.1236071173980036},{"$f":"$J$33","v":2.1236071173980036},2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036,2.1236071173980036]
[null,{"$f":"CONCATENATE(\"Average of work and non-work fares in Row \",O33, \" wghtd by work/non-work %'s drawn from Row \",O118, \".\")","v":"Average of work and non-work fares in Row 33 wghtd by work/non-work %'s drawn from Row 118."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"A1. Subway Trip Gains/Losses among trips purchased on pay-per-ride basis (price changes only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Current Fare Experienced by Subset of Subway Riders who pay on per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Transit!$H$24*(Transit!$H$36*(1/(1+Transit!$H$33))+1-Transit!$H$36)","v":2.6361547539130363}]
[null,{"$f":"CONCATENATE(\"Average of nominal and discounted fares, wghtd by share of pay-per-riders who do or do not use discounted media, as est'd in Row \",Transit!O36, \" of 'Transit' worksheet. Former share enjoys fare discount for qualifying pay-per-ride Metrocards shown in Row \",Transit!O33, \" of 'Transit' sheet. Both shares pivot off nominal per-ride fare shown in Row \",Transit!O24, \" of that sheet.\")","v":"Average of nominal and discounted fares, wghtd by share of pay-per-riders who do or do not use discounted media, as est'd in Row 36 of 'Transit' worksheet. Former share enjoys fare discount for qualifying pay-per-ride Metrocards shown in Row 33 of 'Transit' sheet. Both shares pivot off nominal per-ride fare shown in Row 24 of that sheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Proposed Nominal Fare",null,null,null,{"$f":"CONCATENATE(\"Shown in entries in Column N, Rows \",O58,\" to \",O81, \" or calc'd via 'override' in Row \",O57,\".\")","v":"Shown in entries in Column N, Rows 58 to 81 or calc'd via 'override' in Row 57."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N58))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N59))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N60))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N61))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N62))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$219,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$219,$N63))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N64))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$221,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$221,$N65))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$223,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$223,$N66))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$222,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$222,$N67))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N68))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N69))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N70))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N71))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N72))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N73))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$221,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$221,$N74))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$223,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$223,$N75))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$222,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$222,$N76))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$220,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$220,$N77))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$219,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$219,$N78))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$219,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$219,$N79))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$219,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$219,$N80))","v":2.75},{"$f":"IF($W$56<>\"NONE\",$W56*'Policy Levers'!$K$218,IF('Policy Levers'!$K$226=\"YES\",'Policy Levers'!$K$218,$N81))","v":2.75}]
[null,{"$f":"CONCATENATE(\"Override is in effect if cell W\",O56,\" has a number in it. If it does, then new fare = product of override factor in Cell Z\",O56, \" and baseline fare given in Transit worksheet, Cell H\",Transit!O24, \". If no override, then 'IF' statement causes new fare to be either baseline fare or fare indicated by value for that hour given in Col. N, Rows \",O58, \"-\",O81,\".\")","v":"Override is in effect if cell W56 has a number in it. If it does, then new fare = product of override factor in Cell Z56 and baseline fare given in Transit worksheet, Cell H24. If no override, then 'IF' statement causes new fare to be either baseline fare or fare indicated by value for that hour given in Col. N, Rows 58-81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Proposed Fare to be Experienced by Subset of Subway Riders who pay on per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145},{"$f":"P141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Q141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"R141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"S141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"T141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"U141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"V141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"W141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"X141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Y141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"Z141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AA141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AB141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AC141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AD141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AE141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AF141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AG141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AH141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AI141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AJ141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AK141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AL141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},{"$f":"AM141*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363}]
[null,{"$f":"CONCATENATE(\"Adjusts fare from Row \",O141, \" w/ pay-per-ride discount inputted in 'Policy Levers' Row \",'Policy Levers'!O214, \" and % of pay-per-rides recv'ing discount.\")","v":"Adjusts fare from Row 141 w/ pay-per-ride discount inputted in 'Policy Levers' Row 214 and % of pay-per-rides recv'ing discount."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"% Change in work-trip ridership among pay-per-riders, due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147},{"$f":"IF(P141=0,Elasticities!$G$64*(P145-P137)/P137,MINA((P145/P137)^Elasticities!$G$64,Elasticities!$G$64*(P145-P137)/P137+1)-1)","v":0},{"$f":"IF(Q141=0,Elasticities!$G$64*(Q145-Q137)/Q137,MINA((Q145/Q137)^Elasticities!$G$64,Elasticities!$G$64*(Q145-Q137)/Q137+1)-1)","v":0},{"$f":"IF(R141=0,Elasticities!$G$64*(R145-R137)/R137,MINA((R145/R137)^Elasticities!$G$64,Elasticities!$G$64*(R145-R137)/R137+1)-1)","v":0},{"$f":"IF(S141=0,Elasticities!$G$64*(S145-S137)/S137,MINA((S145/S137)^Elasticities!$G$64,Elasticities!$G$64*(S145-S137)/S137+1)-1)","v":0},{"$f":"IF(T141=0,Elasticities!$G$64*(T145-T137)/T137,MINA((T145/T137)^Elasticities!$G$64,Elasticities!$G$64*(T145-T137)/T137+1)-1)","v":0},{"$f":"IF(U141=0,Elasticities!$G$64*(U145-U137)/U137,MINA((U145/U137)^Elasticities!$G$64,Elasticities!$G$64*(U145-U137)/U137+1)-1)","v":0},{"$f":"IF(V141=0,Elasticities!$G$64*(V145-V137)/V137,MINA((V145/V137)^Elasticities!$G$64,Elasticities!$G$64*(V145-V137)/V137+1)-1)","v":0},{"$f":"IF(W141=0,Elasticities!$G$64*(W145-W137)/W137,MINA((W145/W137)^Elasticities!$G$64,Elasticities!$G$64*(W145-W137)/W137+1)-1)","v":0},{"$f":"IF(X141=0,Elasticities!$G$64*(X145-X137)/X137,MINA((X145/X137)^Elasticities!$G$64,Elasticities!$G$64*(X145-X137)/X137+1)-1)","v":0},{"$f":"IF(Y141=0,Elasticities!$G$64*(Y145-Y137)/Y137,MINA((Y145/Y137)^Elasticities!$G$64,Elasticities!$G$64*(Y145-Y137)/Y137+1)-1)","v":0},{"$f":"IF(Z141=0,Elasticities!$G$64*(Z145-Z137)/Z137,MINA((Z145/Z137)^Elasticities!$G$64,Elasticities!$G$64*(Z145-Z137)/Z137+1)-1)","v":0},{"$f":"IF(AA141=0,Elasticities!$G$64*(AA145-AA137)/AA137,MINA((AA145/AA137)^Elasticities!$G$64,Elasticities!$G$64*(AA145-AA137)/AA137+1)-1)","v":0},{"$f":"IF(AB141=0,Elasticities!$G$64*(AB145-AB137)/AB137,MINA((AB145/AB137)^Elasticities!$G$64,Elasticities!$G$64*(AB145-AB137)/AB137+1)-1)","v":0},{"$f":"IF(AC141=0,Elasticities!$G$64*(AC145-AC137)/AC137,MINA((AC145/AC137)^Elasticities!$G$64,Elasticities!$G$64*(AC145-AC137)/AC137+1)-1)","v":0},{"$f":"IF(AD141=0,Elasticities!$G$64*(AD145-AD137)/AD137,MINA((AD145/AD137)^Elasticities!$G$64,Elasticities!$G$64*(AD145-AD137)/AD137+1)-1)","v":0},{"$f":"IF(AE141=0,Elasticities!$G$64*(AE145-AE137)/AE137,MINA((AE145/AE137)^Elasticities!$G$64,Elasticities!$G$64*(AE145-AE137)/AE137+1)-1)","v":0},{"$f":"IF(AF141=0,Elasticities!$G$64*(AF145-AF137)/AF137,MINA((AF145/AF137)^Elasticities!$G$64,Elasticities!$G$64*(AF145-AF137)/AF137+1)-1)","v":0},{"$f":"IF(AG141=0,Elasticities!$G$64*(AG145-AG137)/AG137,MINA((AG145/AG137)^Elasticities!$G$64,Elasticities!$G$64*(AG145-AG137)/AG137+1)-1)","v":0},{"$f":"IF(AH141=0,Elasticities!$G$64*(AH145-AH137)/AH137,MINA((AH145/AH137)^Elasticities!$G$64,Elasticities!$G$64*(AH145-AH137)/AH137+1)-1)","v":0},{"$f":"IF(AI141=0,Elasticities!$G$64*(AI145-AI137)/AI137,MINA((AI145/AI137)^Elasticities!$G$64,Elasticities!$G$64*(AI145-AI137)/AI137+1)-1)","v":0},{"$f":"IF(AJ141=0,Elasticities!$G$64*(AJ145-AJ137)/AJ137,MINA((AJ145/AJ137)^Elasticities!$G$64,Elasticities!$G$64*(AJ145-AJ137)/AJ137+1)-1)","v":0},{"$f":"IF(AK141=0,Elasticities!$G$64*(AK145-AK137)/AK137,MINA((AK145/AK137)^Elasticities!$G$64,Elasticities!$G$64*(AK145-AK137)/AK137+1)-1)","v":0},{"$f":"IF(AL141=0,Elasticities!$G$64*(AL145-AL137)/AL137,MINA((AL145/AL137)^Elasticities!$G$64,Elasticities!$G$64*(AL145-AL137)/AL137+1)-1)","v":0},{"$f":"IF(AM141=0,Elasticities!$G$64*(AM145-AM137)/AM137,MINA((AM145/AM137)^Elasticities!$G$64,Elasticities!$G$64*(AM145-AM137)/AM137+1)-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Draws on transit price-elasticities for work trips from 'Elasticities' tab, Row \",Elasticities!O64, \" and on current & proposed fares in Rows \",O137, \" and \",O145, \".\")","v":"Draws on transit price-elasticities for work trips from 'Elasticities' tab, Row 64 and on current & proposed fares in Rows 137 and 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"% Change in non-work-trip ridership among pay-per-riders, due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149},{"$f":"IF(P141=0,Elasticities!$H$64*(P145-P137)/P137,MINA((P145/P137)^Elasticities!$H$64,Elasticities!$H$64*(P145-P137)/P137+1)-1)","v":0},{"$f":"IF(Q141=0,Elasticities!$H$64*(Q145-Q137)/Q137,MINA((Q145/Q137)^Elasticities!$H$64,Elasticities!$H$64*(Q145-Q137)/Q137+1)-1)","v":0},{"$f":"IF(R141=0,Elasticities!$H$64*(R145-R137)/R137,MINA((R145/R137)^Elasticities!$H$64,Elasticities!$H$64*(R145-R137)/R137+1)-1)","v":0},{"$f":"IF(S141=0,Elasticities!$H$64*(S145-S137)/S137,MINA((S145/S137)^Elasticities!$H$64,Elasticities!$H$64*(S145-S137)/S137+1)-1)","v":0},{"$f":"IF(T141=0,Elasticities!$H$64*(T145-T137)/T137,MINA((T145/T137)^Elasticities!$H$64,Elasticities!$H$64*(T145-T137)/T137+1)-1)","v":0},{"$f":"IF(U141=0,Elasticities!$H$64*(U145-U137)/U137,MINA((U145/U137)^Elasticities!$H$64,Elasticities!$H$64*(U145-U137)/U137+1)-1)","v":0},{"$f":"IF(V141=0,Elasticities!$H$64*(V145-V137)/V137,MINA((V145/V137)^Elasticities!$H$64,Elasticities!$H$64*(V145-V137)/V137+1)-1)","v":0},{"$f":"IF(W141=0,Elasticities!$H$64*(W145-W137)/W137,MINA((W145/W137)^Elasticities!$H$64,Elasticities!$H$64*(W145-W137)/W137+1)-1)","v":0},{"$f":"IF(X141=0,Elasticities!$H$64*(X145-X137)/X137,MINA((X145/X137)^Elasticities!$H$64,Elasticities!$H$64*(X145-X137)/X137+1)-1)","v":0},{"$f":"IF(Y141=0,Elasticities!$H$64*(Y145-Y137)/Y137,MINA((Y145/Y137)^Elasticities!$H$64,Elasticities!$H$64*(Y145-Y137)/Y137+1)-1)","v":0},{"$f":"IF(Z141=0,Elasticities!$H$64*(Z145-Z137)/Z137,MINA((Z145/Z137)^Elasticities!$H$64,Elasticities!$H$64*(Z145-Z137)/Z137+1)-1)","v":0},{"$f":"IF(AA141=0,Elasticities!$H$64*(AA145-AA137)/AA137,MINA((AA145/AA137)^Elasticities!$H$64,Elasticities!$H$64*(AA145-AA137)/AA137+1)-1)","v":0},{"$f":"IF(AB141=0,Elasticities!$H$64*(AB145-AB137)/AB137,MINA((AB145/AB137)^Elasticities!$H$64,Elasticities!$H$64*(AB145-AB137)/AB137+1)-1)","v":0},{"$f":"IF(AC141=0,Elasticities!$H$64*(AC145-AC137)/AC137,MINA((AC145/AC137)^Elasticities!$H$64,Elasticities!$H$64*(AC145-AC137)/AC137+1)-1)","v":0},{"$f":"IF(AD141=0,Elasticities!$H$64*(AD145-AD137)/AD137,MINA((AD145/AD137)^Elasticities!$H$64,Elasticities!$H$64*(AD145-AD137)/AD137+1)-1)","v":0},{"$f":"IF(AE141=0,Elasticities!$H$64*(AE145-AE137)/AE137,MINA((AE145/AE137)^Elasticities!$H$64,Elasticities!$H$64*(AE145-AE137)/AE137+1)-1)","v":0},{"$f":"IF(AF141=0,Elasticities!$H$64*(AF145-AF137)/AF137,MINA((AF145/AF137)^Elasticities!$H$64,Elasticities!$H$64*(AF145-AF137)/AF137+1)-1)","v":0},{"$f":"IF(AG141=0,Elasticities!$H$64*(AG145-AG137)/AG137,MINA((AG145/AG137)^Elasticities!$H$64,Elasticities!$H$64*(AG145-AG137)/AG137+1)-1)","v":0},{"$f":"IF(AH141=0,Elasticities!$H$64*(AH145-AH137)/AH137,MINA((AH145/AH137)^Elasticities!$H$64,Elasticities!$H$64*(AH145-AH137)/AH137+1)-1)","v":0},{"$f":"IF(AI141=0,Elasticities!$H$64*(AI145-AI137)/AI137,MINA((AI145/AI137)^Elasticities!$H$64,Elasticities!$H$64*(AI145-AI137)/AI137+1)-1)","v":0},{"$f":"IF(AJ141=0,Elasticities!$H$64*(AJ145-AJ137)/AJ137,MINA((AJ145/AJ137)^Elasticities!$H$64,Elasticities!$H$64*(AJ145-AJ137)/AJ137+1)-1)","v":0},{"$f":"IF(AK141=0,Elasticities!$H$64*(AK145-AK137)/AK137,MINA((AK145/AK137)^Elasticities!$H$64,Elasticities!$H$64*(AK145-AK137)/AK137+1)-1)","v":0},{"$f":"IF(AL141=0,Elasticities!$H$64*(AL145-AL137)/AL137,MINA((AL145/AL137)^Elasticities!$H$64,Elasticities!$H$64*(AL145-AL137)/AL137+1)-1)","v":0},{"$f":"IF(AM141=0,Elasticities!$H$64*(AM145-AM137)/AM137,MINA((AM145/AM137)^Elasticities!$H$64,Elasticities!$H$64*(AM145-AM137)/AM137+1)-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Above row draws on transit price-elasticities for non-work trips from 'Elasticities' worksheet, Row \",Elasticities!O64, \".\")","v":"Above row draws on transit price-elasticities for non-work trips from 'Elasticities' worksheet, Row 64."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Change in work-trip ridership among pay-per-riders due to subway price change ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},{"$f":"P147*P122","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P151:AM151)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is product of percent in Row \",O147, \" and baseline work-trip pay-per-ride figure in Row \",O122, \".\")","v":"Each figure is product of percent in Row 147 and baseline work-trip pay-per-ride figure in Row 122."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Change in non-work-trip ridership among pay-per-riders due to subway price change ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153},{"$f":"P149*P127","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P153:AM153)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is product of percent in Row \",O149, \" and baseline non-work-trip pay-per-ride figure in Row \",O127, \".\")","v":"Each figure is product of percent in Row 149 and baseline non-work-trip pay-per-ride figure in Row 127."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Total Change in ridership among pay-per-riders due to subway price change ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},{"$f":"P151+P153","v":0},{"$f":"Q151+Q153","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P155:AM155)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O151, \" and \",O153, \".\")","v":"Each figure is sum of Rows 151 and 153."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"A2. Subway Trip Gains/Losses among trips purchased w/ Unlimited MetroCards (price changes only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158},{"$f":"P108","v":"Midnight"},"1 a.m.","2 a.m.","3 a.m.","4 a.m.","5 a.m.","6 a.m.","7 a.m.","8 a.m.","9 a.m.","10 a.m.","11 a.m.","Noon","1 p.m.","2 p.m.","3 p.m.","4 p.m.","5 p.m.","6 p.m.","7 p.m.","8 p.m.","9 p.m.","10 p.m.","11 p.m."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Current Fare as Experienced by Unlimited Card Riders ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160},{"$f":"(P132-P137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(Q132-Q137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(R132-R137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(S132-S137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(T132-T137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(U132-U137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(V132-V137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(W132-W137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(X132-X137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(Y132-Y137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(Z132-Z137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AA132-AA137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AB132-AB137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AC132-AC137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AD132-AD137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AE132-AE137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AF132-AF137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AG132-AG137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AH132-AH137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AI132-AI137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AJ132-AJ137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AK132-AK137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AL132-AL137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923},{"$f":"(AM132-AM137*Transit!$H$66)/(1-Transit!$H$66)","v":1.618921227812923}]
[null,{"$f":"CONCATENATE(\"Solved algebraically with Rows \",O132, \" and \",O137, \" and % of riders who pay on per-ride basis from Row \",Transit!$O$66, \" of 'Transit' worksheet.\")","v":"Solved algebraically with Rows 132 and 137 and % of riders who pay on per-ride basis from Row 66 of 'Transit' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Proposed Fare to be Experienced by Unlimited Card Riders ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162},{"$f":"P160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"Q160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"R160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"S160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"T160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"U160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"V160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"W160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"X160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"Y160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"Z160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AA160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AB160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AC160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AD160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AE160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AF160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AG160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AH160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AI160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AJ160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AK160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AL160*(1+'Policy Levers'!$K$211)","v":1.618921227812923},{"$f":"AM160*(1+'Policy Levers'!$K$211)","v":1.618921227812923}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O160, \" and factor calculated from assumed percentage change in unlimited fares from 'Policy Levers' tab, Row \",'Policy Levers'!O211, \".\")","v":"Product of Row 160 and factor calculated from assumed percentage change in unlimited fares from 'Policy Levers' tab, Row 211."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"% Change in work-trip ridership among unlimited card riders, due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164},{"$f":"IF(P162=0,Elasticities!$G$64*(P162-P160)/P160,MINA((P162/P160)^Elasticities!$G$64,Elasticities!$G$64*(P162-P160)/P160+1)-1)","v":0},{"$f":"IF(Q162=0,Elasticities!$G$64*(Q162-Q160)/Q160,MINA((Q162/Q160)^Elasticities!$G$64,Elasticities!$G$64*(Q162-Q160)/Q160+1)-1)","v":0},{"$f":"IF(R162=0,Elasticities!$G$64*(R162-R160)/R160,MINA((R162/R160)^Elasticities!$G$64,Elasticities!$G$64*(R162-R160)/R160+1)-1)","v":0},{"$f":"IF(S162=0,Elasticities!$G$64*(S162-S160)/S160,MINA((S162/S160)^Elasticities!$G$64,Elasticities!$G$64*(S162-S160)/S160+1)-1)","v":0},{"$f":"IF(T162=0,Elasticities!$G$64*(T162-T160)/T160,MINA((T162/T160)^Elasticities!$G$64,Elasticities!$G$64*(T162-T160)/T160+1)-1)","v":0},{"$f":"IF(U162=0,Elasticities!$G$64*(U162-U160)/U160,MINA((U162/U160)^Elasticities!$G$64,Elasticities!$G$64*(U162-U160)/U160+1)-1)","v":0},{"$f":"IF(V162=0,Elasticities!$G$64*(V162-V160)/V160,MINA((V162/V160)^Elasticities!$G$64,Elasticities!$G$64*(V162-V160)/V160+1)-1)","v":0},{"$f":"IF(W162=0,Elasticities!$G$64*(W162-W160)/W160,MINA((W162/W160)^Elasticities!$G$64,Elasticities!$G$64*(W162-W160)/W160+1)-1)","v":0},{"$f":"IF(X162=0,Elasticities!$G$64*(X162-X160)/X160,MINA((X162/X160)^Elasticities!$G$64,Elasticities!$G$64*(X162-X160)/X160+1)-1)","v":0},{"$f":"IF(Y162=0,Elasticities!$G$64*(Y162-Y160)/Y160,MINA((Y162/Y160)^Elasticities!$G$64,Elasticities!$G$64*(Y162-Y160)/Y160+1)-1)","v":0},{"$f":"IF(Z162=0,Elasticities!$G$64*(Z162-Z160)/Z160,MINA((Z162/Z160)^Elasticities!$G$64,Elasticities!$G$64*(Z162-Z160)/Z160+1)-1)","v":0},{"$f":"IF(AA162=0,Elasticities!$G$64*(AA162-AA160)/AA160,MINA((AA162/AA160)^Elasticities!$G$64,Elasticities!$G$64*(AA162-AA160)/AA160+1)-1)","v":0},{"$f":"IF(AB162=0,Elasticities!$G$64*(AB162-AB160)/AB160,MINA((AB162/AB160)^Elasticities!$G$64,Elasticities!$G$64*(AB162-AB160)/AB160+1)-1)","v":0},{"$f":"IF(AC162=0,Elasticities!$G$64*(AC162-AC160)/AC160,MINA((AC162/AC160)^Elasticities!$G$64,Elasticities!$G$64*(AC162-AC160)/AC160+1)-1)","v":0},{"$f":"IF(AD162=0,Elasticities!$G$64*(AD162-AD160)/AD160,MINA((AD162/AD160)^Elasticities!$G$64,Elasticities!$G$64*(AD162-AD160)/AD160+1)-1)","v":0},{"$f":"IF(AE162=0,Elasticities!$G$64*(AE162-AE160)/AE160,MINA((AE162/AE160)^Elasticities!$G$64,Elasticities!$G$64*(AE162-AE160)/AE160+1)-1)","v":0},{"$f":"IF(AF162=0,Elasticities!$G$64*(AF162-AF160)/AF160,MINA((AF162/AF160)^Elasticities!$G$64,Elasticities!$G$64*(AF162-AF160)/AF160+1)-1)","v":0},{"$f":"IF(AG162=0,Elasticities!$G$64*(AG162-AG160)/AG160,MINA((AG162/AG160)^Elasticities!$G$64,Elasticities!$G$64*(AG162-AG160)/AG160+1)-1)","v":0},{"$f":"IF(AH162=0,Elasticities!$G$64*(AH162-AH160)/AH160,MINA((AH162/AH160)^Elasticities!$G$64,Elasticities!$G$64*(AH162-AH160)/AH160+1)-1)","v":0},{"$f":"IF(AI162=0,Elasticities!$G$64*(AI162-AI160)/AI160,MINA((AI162/AI160)^Elasticities!$G$64,Elasticities!$G$64*(AI162-AI160)/AI160+1)-1)","v":0},{"$f":"IF(AJ162=0,Elasticities!$G$64*(AJ162-AJ160)/AJ160,MINA((AJ162/AJ160)^Elasticities!$G$64,Elasticities!$G$64*(AJ162-AJ160)/AJ160+1)-1)","v":0},{"$f":"IF(AK162=0,Elasticities!$G$64*(AK162-AK160)/AK160,MINA((AK162/AK160)^Elasticities!$G$64,Elasticities!$G$64*(AK162-AK160)/AK160+1)-1)","v":0},{"$f":"IF(AL162=0,Elasticities!$G$64*(AL162-AL160)/AL160,MINA((AL162/AL160)^Elasticities!$G$64,Elasticities!$G$64*(AL162-AL160)/AL160+1)-1)","v":0},{"$f":"IF(AM162=0,Elasticities!$G$64*(AM162-AM160)/AM160,MINA((AM162/AM160)^Elasticities!$G$64,Elasticities!$G$64*(AM162-AM160)/AM160+1)-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Draws on transit work trip price-elasticities from 'Elasticities' tab, Row \",Elasticities!O95, \" and on current & proposed fares in Rows \",O160, \" and \",O162, \".\")","v":"Draws on transit work trip price-elasticities from 'Elasticities' tab, Row 95 and on current & proposed fares in Rows 160 and 162."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"% Change in non-work-trip ridership among unlimited card riders, due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166},{"$f":"IF(P162=0,Elasticities!$H$64*(P162-P160)/P160,MINA((P162/P160)^Elasticities!$H$64,Elasticities!$H$64*(P162-P160)/P160+1)-1)","v":0},{"$f":"IF(Q162=0,Elasticities!$H$64*(Q162-Q160)/Q160,MINA((Q162/Q160)^Elasticities!$H$64,Elasticities!$H$64*(Q162-Q160)/Q160+1)-1)","v":0},{"$f":"IF(R162=0,Elasticities!$H$64*(R162-R160)/R160,MINA((R162/R160)^Elasticities!$H$64,Elasticities!$H$64*(R162-R160)/R160+1)-1)","v":0},{"$f":"IF(S162=0,Elasticities!$H$64*(S162-S160)/S160,MINA((S162/S160)^Elasticities!$H$64,Elasticities!$H$64*(S162-S160)/S160+1)-1)","v":0},{"$f":"IF(T162=0,Elasticities!$H$64*(T162-T160)/T160,MINA((T162/T160)^Elasticities!$H$64,Elasticities!$H$64*(T162-T160)/T160+1)-1)","v":0},{"$f":"IF(U162=0,Elasticities!$H$64*(U162-U160)/U160,MINA((U162/U160)^Elasticities!$H$64,Elasticities!$H$64*(U162-U160)/U160+1)-1)","v":0},{"$f":"IF(V162=0,Elasticities!$H$64*(V162-V160)/V160,MINA((V162/V160)^Elasticities!$H$64,Elasticities!$H$64*(V162-V160)/V160+1)-1)","v":0},{"$f":"IF(W162=0,Elasticities!$H$64*(W162-W160)/W160,MINA((W162/W160)^Elasticities!$H$64,Elasticities!$H$64*(W162-W160)/W160+1)-1)","v":0},{"$f":"IF(X162=0,Elasticities!$H$64*(X162-X160)/X160,MINA((X162/X160)^Elasticities!$H$64,Elasticities!$H$64*(X162-X160)/X160+1)-1)","v":0},{"$f":"IF(Y162=0,Elasticities!$H$64*(Y162-Y160)/Y160,MINA((Y162/Y160)^Elasticities!$H$64,Elasticities!$H$64*(Y162-Y160)/Y160+1)-1)","v":0},{"$f":"IF(Z162=0,Elasticities!$H$64*(Z162-Z160)/Z160,MINA((Z162/Z160)^Elasticities!$H$64,Elasticities!$H$64*(Z162-Z160)/Z160+1)-1)","v":0},{"$f":"IF(AA162=0,Elasticities!$H$64*(AA162-AA160)/AA160,MINA((AA162/AA160)^Elasticities!$H$64,Elasticities!$H$64*(AA162-AA160)/AA160+1)-1)","v":0},{"$f":"IF(AB162=0,Elasticities!$H$64*(AB162-AB160)/AB160,MINA((AB162/AB160)^Elasticities!$H$64,Elasticities!$H$64*(AB162-AB160)/AB160+1)-1)","v":0},{"$f":"IF(AC162=0,Elasticities!$H$64*(AC162-AC160)/AC160,MINA((AC162/AC160)^Elasticities!$H$64,Elasticities!$H$64*(AC162-AC160)/AC160+1)-1)","v":0},{"$f":"IF(AD162=0,Elasticities!$H$64*(AD162-AD160)/AD160,MINA((AD162/AD160)^Elasticities!$H$64,Elasticities!$H$64*(AD162-AD160)/AD160+1)-1)","v":0},{"$f":"IF(AE162=0,Elasticities!$H$64*(AE162-AE160)/AE160,MINA((AE162/AE160)^Elasticities!$H$64,Elasticities!$H$64*(AE162-AE160)/AE160+1)-1)","v":0},{"$f":"IF(AF162=0,Elasticities!$H$64*(AF162-AF160)/AF160,MINA((AF162/AF160)^Elasticities!$H$64,Elasticities!$H$64*(AF162-AF160)/AF160+1)-1)","v":0},{"$f":"IF(AG162=0,Elasticities!$H$64*(AG162-AG160)/AG160,MINA((AG162/AG160)^Elasticities!$H$64,Elasticities!$H$64*(AG162-AG160)/AG160+1)-1)","v":0},{"$f":"IF(AH162=0,Elasticities!$H$64*(AH162-AH160)/AH160,MINA((AH162/AH160)^Elasticities!$H$64,Elasticities!$H$64*(AH162-AH160)/AH160+1)-1)","v":0},{"$f":"IF(AI162=0,Elasticities!$H$64*(AI162-AI160)/AI160,MINA((AI162/AI160)^Elasticities!$H$64,Elasticities!$H$64*(AI162-AI160)/AI160+1)-1)","v":0},{"$f":"IF(AJ162=0,Elasticities!$H$64*(AJ162-AJ160)/AJ160,MINA((AJ162/AJ160)^Elasticities!$H$64,Elasticities!$H$64*(AJ162-AJ160)/AJ160+1)-1)","v":0},{"$f":"IF(AK162=0,Elasticities!$H$64*(AK162-AK160)/AK160,MINA((AK162/AK160)^Elasticities!$H$64,Elasticities!$H$64*(AK162-AK160)/AK160+1)-1)","v":0},{"$f":"IF(AL162=0,Elasticities!$H$64*(AL162-AL160)/AL160,MINA((AL162/AL160)^Elasticities!$H$64,Elasticities!$H$64*(AL162-AL160)/AL160+1)-1)","v":0},{"$f":"IF(AM162=0,Elasticities!$H$64*(AM162-AM160)/AM160,MINA((AM162/AM160)^Elasticities!$H$64,Elasticities!$H$64*(AM162-AM160)/AM160+1)-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Above row draws on transit price-elasticities for non-work trips from 'Elasticities' worksheet, Row \",Elasticities!O95, \".\")","v":"Above row draws on transit price-elasticities for non-work trips from 'Elasticities' worksheet, Row 95."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Change in work-trip ridership among unlimited card riders due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168},{"$f":"P164*P123","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P168:AM168)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is product of percent in Row \",O164, \" and baseline work-trip pay-per-ride figure in Row \",O145, \".\")","v":"Each figure is product of percent in Row 164 and baseline work-trip pay-per-ride figure in Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"Change in non-work-trip ridership among unlimited card riders due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170},{"$f":"P166*P128","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P170:AM170)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is product of percent in Row \",O166, \" and baseline non-work-trip pay-per-ride figure in Row \",O149, \".\")","v":"Each figure is product of percent in Row 166 and baseline non-work-trip pay-per-ride figure in Row 149."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"Total Change in ridership among unlimited card riders due to subway price change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172},{"$f":"P168+P170","v":0},{"$f":"Q168+Q170","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P172:AM172)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O168, \" and \",O170, \".\")","v":"Each figure is sum of Rows 168 and 170."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"A3. Subway Trip Gains/Losses among Pay-Per-Riders + Unlimited Riders Combined (price changes only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175},{"$f":"P155+P172","v":0},{"$f":"Q155+Q172","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P175:AM175)","v":0}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O155, \" and \",O172, \".\")","v":"Each figure is sum of Rows 155 and 172."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"A4. Subway Trip Gains/Losses among All Riders Due to Service Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178},{"$f":"P108","v":"Midnight"},{"$f":"Q108","v":"1 a.m."},"2 a.m.","3 a.m.","4 a.m.","5 a.m.","6 a.m.","7 a.m.","8 a.m.","9 a.m.","10 a.m.","11 a.m.","Noon","1 p.m.","2 p.m.","3 p.m.","4 p.m.","5 p.m.","6 p.m.","7 p.m.","8 p.m.","9 p.m.","10 p.m.","11 p.m.",0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Possible changes to avg subway trip duration ",null,null,null,null,null,"(figure below will apply only to periods with zero fare, if any)",null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Duration change from eliminating fare collection",null,null,null,null,null,-0.02,null,null,null,null,null,null,{"$f":"ROW()","v":181},{"$f":"IF(P141=0,$H$181, 0)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[null,{"$f":"CONCATENATE(\"Figure in box in Row \",O181, \" above is Komanoff-Haikalis est., intended to reflect time savings from obviating need to use (and, in some instances, buy) MetroCards, as well as faster station egress from removing turnstiles, gates, etc.\")","v":"Figure in box in Row 181 above is Komanoff-Haikalis est., intended to reflect time savings from obviating need to use (and, in some instances, buy) MetroCards, as well as faster station egress from removing turnstiles, gates, etc."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Duration change due to transit investments + operational expenditures",null,null,null,null,null,null,null,null,null,{"$f":"-IF('Policy Levers'!K191=\"YES\",1,0)*('Policy Levers'!K198/1000+(Transit!M171*Transit!M180)/1000)*CBTC!$L$209+Transit!L381","v":-0.10990356711003627},null,null,{"$f":"ROW()","v":184},{"$f":"$L$184","v":-0.10990356711003627},{"$f":"$L$184","v":-0.10990356711003627},-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,null,"Mean duration change is calculated as unweighted average of the 24 hourly values. Is used as input into Sub v. Bus worksheet. Ideally, the 24 hourly values should be weighted by volume."]
[null,{"$f":"CONCATENATE(\"Cell L\",O184, \" =  sum of Row \",Transit!O381, \" from 'Transit' worksheet and Row \",O209, \" from CBTC worksheet. It reflects results of capital investments and/or operational expenditures\" & \" using toll revenues that will help keep system in state of good repair, as well as possible service expansions. Is applied uniformly in all time periods.\")","v":"Cell L184 =  sum of Row 381 from 'Transit' worksheet and Row 209 from CBTC worksheet. It reflects results of capital investments and/or operational expenditures using toll revenues that will help keep system in state of good repair, as well as possible service expansions. Is applied uniformly in all time periods."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Duration change from any other exogenously est'd cause (e.g., cuts, efficiencies)",null,null,null,null,null,null,null,null,null,{"$f":"'Policy Levers'!K208","v":0},null,null,{"$f":"ROW()","v":188},{"$f":"$L$188","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[null,"Combined percentage change to average subway trip duration",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189},{"$f":"SUM(P181:P188)","v":-0.10990356711003627},-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,-0.10990356711003627,{"$f":"AVERAGE(P189:AM189)","v":-0.10990356711003631}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O181, \", \",O184, \" and \",O188, \". Simpler and probably at least as accurate as cross-products.\")","v":"Sum of Rows 181, 184 and 188. Simpler and probably at least as accurate as cross-products."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Change in work-trip ridership due to subway duration change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191},{"$f":"((1+P$189)^Elasticities!$G$65-1)*P120","v":976.1683525936653},{"$f":"((1+Q$189)^Elasticities!$G$65-1)*Q120","v":432.33907832522823},{"$f":"((1+R$189)^Elasticities!$G$65-1)*R120","v":240.96566060452884},{"$f":"((1+S$189)^Elasticities!$G$65-1)*S120","v":176.87438209172134},{"$f":"((1+T$189)^Elasticities!$G$65-1)*T120","v":483.93994557167088},{"$f":"((1+U$189)^Elasticities!$G$65-1)*U120","v":2334.6679631743959},{"$f":"((1+V$189)^Elasticities!$G$65-1)*V120","v":7302.7579039164611},{"$f":"((1+W$189)^Elasticities!$G$65-1)*W120","v":14690.616835425935},{"$f":"((1+X$189)^Elasticities!$G$65-1)*X120","v":21778.844422360766},{"$f":"((1+Y$189)^Elasticities!$G$65-1)*Y120","v":14736.099479039132},{"$f":"((1+Z$189)^Elasticities!$G$65-1)*Z120","v":6416.8968409131585},{"$f":"((1+AA$189)^Elasticities!$G$65-1)*AA120","v":5201.1249982597246},{"$f":"((1+AB$189)^Elasticities!$G$65-1)*AB120","v":5239.6005442401247},{"$f":"((1+AC$189)^Elasticities!$G$65-1)*AC120","v":4636.1993962747601},{"$f":"((1+AD$189)^Elasticities!$G$65-1)*AD120","v":5476.9356740283229},{"$f":"((1+AE$189)^Elasticities!$G$65-1)*AE120","v":7235.9538281323094},{"$f":"((1+AF$189)^Elasticities!$G$65-1)*AF120","v":8299.8321112267495},{"$f":"((1+AG$189)^Elasticities!$G$65-1)*AG120","v":17465.205279512604},{"$f":"((1+AH$189)^Elasticities!$G$65-1)*AH120","v":10511.656533281903},{"$f":"((1+AI$189)^Elasticities!$G$65-1)*AI120","v":5604.8007760540995},{"$f":"((1+AJ$189)^Elasticities!$G$65-1)*AJ120","v":3085.8011242463263},{"$f":"((1+AK$189)^Elasticities!$G$65-1)*AK120","v":2256.6202084868787},{"$f":"((1+AL$189)^Elasticities!$G$65-1)*AL120","v":1650.2753868866498},{"$f":"((1+AM$189)^Elasticities!$G$65-1)*AM120","v":1443.3524460829622},{"$f":"SUM(P191:AM191)","v":147677.52917073006}]
[null,{"$f":"CONCATENATE(\"Results in Row \",O191, \" draw on transit time-elasticities for work trips from 'Elasticities' worksheet, Row \",Elasticities!O65, \".\")","v":"Results in Row 191 draw on transit time-elasticities for work trips from 'Elasticities' worksheet, Row 65."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Change in non-work-trip ridership due to subway duration change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193},{"$f":"((1+P$189)^Elasticities!$H$65-1)*P125","v":1615.4206047035912},{"$f":"((1+Q$189)^Elasticities!$H$65-1)*Q125","v":715.4600469165689},{"$f":"((1+R$189)^Elasticities!$H$65-1)*R125","v":398.76409856179799},{"$f":"((1+S$189)^Elasticities!$H$65-1)*S125","v":292.70209438362889},{"$f":"((1+T$189)^Elasticities!$H$65-1)*T125","v":355.93430508783274},{"$f":"((1+U$189)^Elasticities!$H$65-1)*U125","v":643.92423069793551},{"$f":"((1+V$189)^Elasticities!$H$65-1)*V125","v":2014.1719676741088},{"$f":"((1+W$189)^Elasticities!$H$65-1)*W125","v":4051.8156300768883},{"$f":"((1+X$189)^Elasticities!$H$65-1)*X125","v":6006.818040665049},{"$f":"((1+Y$189)^Elasticities!$H$65-1)*Y125","v":4064.3601874874912},{"$f":"((1+Z$189)^Elasticities!$H$65-1)*Z125","v":4719.5808876506089},{"$f":"((1+AA$189)^Elasticities!$H$65-1)*AA125","v":3825.3895527133359},{"$f":"((1+AB$189)^Elasticities!$H$65-1)*AB125","v":3853.6880365370507},{"$f":"((1+AC$189)^Elasticities!$H$65-1)*AC125","v":5114.8363308148218},{"$f":"((1+AD$189)^Elasticities!$H$65-1)*AD125","v":6042.3694437226113},{"$f":"((1+AE$189)^Elasticities!$H$65-1)*AE125","v":7982.9870039602401},{"$f":"((1+AF$189)^Elasticities!$H$65-1)*AF125","v":9156.6990963065491},{"$f":"((1+AG$189)^Elasticities!$H$65-1)*AG125","v":6422.7656357611186},{"$f":"((1+AH$189)^Elasticities!$H$65-1)*AH125","v":11596.870224494309},{"$f":"((1+AI$189)^Elasticities!$H$65-1)*AI125","v":9275.1528307999633},{"$f":"((1+AJ$189)^Elasticities!$H$65-1)*AJ125","v":7943.5448777667007},{"$f":"((1+AK$189)^Elasticities!$H$65-1)*AK125","v":5809.0470436810465},{"$f":"((1+AL$189)^Elasticities!$H$65-1)*AL125","v":4248.1793442244762},{"$f":"((1+AM$189)^Elasticities!$H$65-1)*AM125","v":3715.5132389468672},{"$f":"SUM(P193:AM193)","v":109865.99475363459}]
[null,{"$f":"CONCATENATE(\"Results in Row \",O193, \" draw on transit time-elasticities for work trips from 'Elasticities' worksheet, Row \",Elasticities!O65, \".\")","v":"Results in Row 193 draw on transit time-elasticities for work trips from 'Elasticities' worksheet, Row 65."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"Total Change in ridership due to subway duration change",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195},{"$f":"P191+P193","v":2591.5889572972565},{"$f":"Q191+Q193","v":1147.7991252417971},639.72975916632686,469.5764764753502,839.87425065950356,2978.5921938723313,9316.9298715905697,18742.432465502825,27785.662463025816,18800.459666526622,11136.477728563768,9026.514550973061,9093.2885807771745,9751.035727089582,11519.305117750933,15218.94083209255,17456.531207533299,23887.970915273723,22108.526757776213,14879.953606854062,11029.346002013026,8065.6672521679247,5898.4547311111255,5158.8656850298294,{"$f":"SUM(P195:AM195)","v":257543.52392436462}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O191, \" and \",O193, \".\")","v":"Each figure is sum of Rows 191 and 193."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Of which these changes are among pay-per-riders",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197},{"$f":"Transit!$H$73*Subways!P195","v":1285.7798576171917},{"$f":"Transit!$H$73*Subways!Q195","v":569.46414734134794},{"$f":"Transit!$H$73*Subways!R195","v":317.39278574183749},{"$f":"Transit!$H$73*Subways!S195","v":232.97366403834596},{"$f":"Transit!$H$73*Subways!T195","v":416.69161746835528},{"$f":"Transit!$H$73*Subways!U195","v":1477.7859876864584},{"$f":"Transit!$H$73*Subways!V195","v":4622.4617256497386},{"$f":"Transit!$H$73*Subways!W195","v":9298.7902572429157},{"$f":"Transit!$H$73*Subways!X195","v":13785.459698349403},{"$f":"Transit!$H$73*Subways!Y195","v":9327.5796244997164},{"$f":"Transit!$H$73*Subways!Z195","v":5525.2044147938332},{"$f":"Transit!$H$73*Subways!AA195","v":4478.3763109692964},{"$f":"Transit!$H$73*Subways!AB195","v":4511.5052924353995},{"$f":"Transit!$H$73*Subways!AC195","v":4837.8371475516806},{"$f":"Transit!$H$73*Subways!AD195","v":5715.1387578056892},{"$f":"Transit!$H$73*Subways!AE195","v":7550.6601928802484},{"$f":"Transit!$H$73*Subways!AF195","v":8660.8087086156484},{"$f":"Transit!$H$73*Subways!AG195","v":11851.675689433523},{"$f":"Transit!$H$73*Subways!AH195","v":10968.829878170691},{"$f":"Transit!$H$73*Subways!AI195","v":7382.4765212474804},{"$f":"Transit!$H$73*Subways!AJ195","v":5472.0525383271452},{"$f":"Transit!$H$73*Subways!AK195","v":4001.6656429558166},{"$f":"Transit!$H$73*Subways!AL195","v":2926.4340947952314},{"$f":"Transit!$H$73*Subways!AM195","v":2559.4975496737475},{"$f":"SUM(P197:AM197)","v":127776.54210529076}]
[null,"And these changes are unlimited card riders",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198},{"$f":"(1-Transit!$H$73)*Subways!P195","v":1305.8090996800645},{"$f":"(1-Transit!$H$73)*Subways!Q195","v":578.33497790044908},{"$f":"(1-Transit!$H$73)*Subways!R195","v":322.33697342448937},{"$f":"(1-Transit!$H$73)*Subways!S195","v":236.60281243700422},{"$f":"(1-Transit!$H$73)*Subways!T195","v":423.18263319114823},{"$f":"(1-Transit!$H$73)*Subways!U195","v":1500.8062061858727},{"$f":"(1-Transit!$H$73)*Subways!V195","v":4694.4681459408303},{"$f":"(1-Transit!$H$73)*Subways!W195","v":9443.6422082599092},{"$f":"(1-Transit!$H$73)*Subways!X195","v":14000.202764676411},{"$f":"(1-Transit!$H$73)*Subways!Y195","v":9472.8800420269035},{"$f":"(1-Transit!$H$73)*Subways!Z195","v":5611.2733137699342},{"$f":"(1-Transit!$H$73)*Subways!AA195","v":4548.1382400037646},{"$f":"(1-Transit!$H$73)*Subways!AB195","v":4581.783288341775},{"$f":"(1-Transit!$H$73)*Subways!AC195","v":4913.1985795379014},{"$f":"(1-Transit!$H$73)*Subways!AD195","v":5804.166359945244},{"$f":"(1-Transit!$H$73)*Subways!AE195","v":7668.2806392123011},{"$f":"(1-Transit!$H$73)*Subways!AF195","v":8795.7224989176484},{"$f":"(1-Transit!$H$73)*Subways!AG195","v":12036.2952258402},{"$f":"(1-Transit!$H$73)*Subways!AH195","v":11139.696879605521},{"$f":"(1-Transit!$H$73)*Subways!AI195","v":7497.4770856065807},{"$f":"(1-Transit!$H$73)*Subways!AJ195","v":5557.2934636858799},{"$f":"(1-Transit!$H$73)*Subways!AK195","v":4064.0016092121077},{"$f":"(1-Transit!$H$73)*Subways!AL195","v":2972.0206363158941},{"$f":"(1-Transit!$H$73)*Subways!AM195","v":2599.3681353560814},{"$f":"SUM(P198:AM198)","v":129766.98181907392}]
[null,{"$f":"CONCATENATE(\"Figures in above two rows are products of prospective subway fare shares from 'Transit' Row \",Transit!O73,\" and total change in Row \",O195,\".\")","v":"Figures in above two rows are products of prospective subway fare shares from 'Transit' Row 73 and total change in Row 195."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Total Change in work-related trips (due to any subway price and duration changes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200},{"$f":"P151+P168+P191","v":976.1683525936653},{"$f":"Q151+Q168+Q191","v":432.33907832522823},240.96566060452884,176.87438209172134,483.93994557167088,2334.6679631743959,7302.7579039164611,14690.616835425935,21778.844422360766,14736.099479039132,6416.8968409131585,5201.1249982597246,5239.6005442401247,4636.1993962747601,5476.9356740283229,7235.9538281323094,8299.8321112267495,17465.205279512604,10511.656533281903,5604.8007760540995,3085.8011242463263,2256.6202084868787,1650.2753868866498,1443.3524460829622,{"$f":"SUM(P200:AM200)","v":147677.52917073006}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O151, \", \",O168, \" and \",O191, \".\")","v":"Each figure is sum of Rows 151, 168 and 191."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Total Change in non-work-related trips (due to any subway price and duration changes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202},{"$f":"P153+P170+P193","v":1615.4206047035912},{"$f":"Q153+Q170+Q193","v":715.4600469165689},398.76409856179799,292.70209438362889,355.93430508783274,643.92423069793551,2014.1719676741088,4051.8156300768883,6006.818040665049,4064.3601874874912,4719.5808876506089,3825.3895527133359,3853.6880365370507,5114.8363308148218,6042.3694437226113,7982.9870039602401,9156.6990963065491,6422.7656357611186,11596.870224494309,9275.1528307999633,7943.5448777667007,5809.0470436810465,4248.1793442244762,3715.5132389468672,{"$f":"SUM(P202:AM202)","v":109865.99475363459}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O153, \", \",O170, \" and \",O193, \".\")","v":"Each figure is sum of Rows 153, 170 and 193."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Combined change in ridership due to subway price & trip-duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204},{"$f":"P200+P202","v":2591.5889572972565},1147.7991252417971,639.72975916632686,469.5764764753502,839.87425065950356,2978.5921938723313,9316.9298715905697,18742.432465502825,27785.662463025816,18800.459666526622,11136.477728563768,9026.514550973061,9093.2885807771745,9751.035727089582,11519.305117750933,15218.94083209255,17456.531207533299,23887.970915273723,22108.526757776213,14879.953606854062,11029.346002013026,8065.6672521679247,5898.4547311111255,5158.8656850298294,{"$f":"SUM(P204:AM204)","v":257543.52392436462}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O200, \" and \",O202, \".\")","v":"Each figure is sum of Rows 200 and 202."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"A5. Summary of Subway Trip Gains/Losses Due to Price and Service Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207},"Note: Figures below aren't final, since they'll be supplemented not only by 'period changes' in Section B, but by Mode Shifting with Autos and Cabs. They'll also be prorated from CBD-related trips, to full-system trips."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"Grand total changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209},{"$f":"P175+P195","v":2591.5889572972565},{"$f":"Q175+Q195","v":1147.7991252417971},639.72975916632686,469.5764764753502,839.87425065950356,2978.5921938723313,9316.9298715905697,18742.432465502825,27785.662463025816,18800.459666526622,11136.477728563768,9026.514550973061,9093.2885807771745,9751.035727089582,11519.305117750933,15218.94083209255,17456.531207533299,23887.970915273723,22108.526757776213,14879.953606854062,11029.346002013026,8065.6672521679247,5898.4547311111255,5158.8656850298294,{"$f":"SUM(P209:AM209)","v":257543.52392436462}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O175, \" and \",O195, \".\")","v":"Each figure is sum of Rows 175 and 195."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Of which these changes are among pay-per-riders",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O155, \" and \",O197, \".\")","v":"Each figure is sum of Rows 155 and 197."},null,null,null,null,{"$f":"ROW()","v":211},{"$f":"P155+P197","v":1285.7798576171917},{"$f":"Q155+Q197","v":569.46414734134794},317.39278574183749,232.97366403834596,416.69161746835528,1477.7859876864584,4622.4617256497386,9298.7902572429157,13785.459698349403,9327.5796244997164,5525.2044147938332,4478.3763109692964,4511.5052924353995,4837.8371475516806,5715.1387578056892,7550.6601928802484,8660.8087086156484,11851.675689433523,10968.829878170691,7382.4765212474804,5472.0525383271452,4001.6656429558166,2926.4340947952314,2559.4975496737475,{"$f":"SUM(P211:AM211)","v":127776.54210529076}]
[null,"And these changes are unlimited card riders",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O172, \" and \",O198, \".\")","v":"Each figure is sum of Rows 172 and 198."},null,null,null,null,{"$f":"ROW()","v":212},{"$f":"P172+P198","v":1305.8090996800645},578.33497790044908,322.33697342448937,236.60281243700422,423.18263319114823,1500.8062061858727,4694.4681459408303,9443.6422082599092,14000.202764676411,9472.8800420269035,5611.2733137699342,4548.1382400037646,4581.783288341775,4913.1985795379014,5804.166359945244,7668.2806392123011,8795.7224989176484,12036.2952258402,11139.696879605521,7497.4770856065807,5557.2934636858799,4064.0016092121077,2972.0206363158941,2599.3681353560814,{"$f":"SUM(P212:AM212)","v":129766.98181907392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"And, of which these changes are for work trips",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O151, \", \",O168, \" and \",O191, \".\")","v":"Each figure is sum of Rows 151, 168 and 191."},null,null,null,null,{"$f":"ROW()","v":214},{"$f":"P151+P168+P191","v":976.1683525936653},{"$f":"Q151+Q168+Q191","v":432.33907832522823},{"$f":"R151+R168+R191","v":240.96566060452884},176.87438209172134,483.93994557167088,2334.6679631743959,7302.7579039164611,14690.616835425935,21778.844422360766,14736.099479039132,6416.8968409131585,5201.1249982597246,5239.6005442401247,4636.1993962747601,5476.9356740283229,7235.9538281323094,8299.8321112267495,17465.205279512604,10511.656533281903,5604.8007760540995,3085.8011242463263,2256.6202084868787,1650.2753868866498,1443.3524460829622,{"$f":"SUM(P214:AM214)","v":147677.52917073006}]
[null,"While these changes are for non-work trips",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O153, \", \",O170, \" and \",O193, \".\")","v":"Each figure is sum of Rows 153, 170 and 193."},null,null,null,null,{"$f":"ROW()","v":215},{"$f":"P153+P170+P193","v":1615.4206047035912},{"$f":"Q153+Q170+Q193","v":715.4600469165689},{"$f":"R153+R170+R193","v":398.76409856179799},292.70209438362889,355.93430508783274,643.92423069793551,2014.1719676741088,4051.8156300768883,6006.818040665049,4064.3601874874912,4719.5808876506089,3825.3895527133359,3853.6880365370507,5114.8363308148218,6042.3694437226113,7982.9870039602401,9156.6990963065491,6422.7656357611186,11596.870224494309,9275.1528307999633,7943.5448777667007,5809.0470436810465,4248.1793442244762,3715.5132389468672,{"$f":"SUM(P215:AM215)","v":109865.99475363459}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"Combined change in ridership due to subway price & trip-duration changes, expressed as percent",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217},{"$f":"P209/P110","v":6.3653376931066721E-2},6.3653376931066721E-2,6.3653376931066721E-2,6.3653376931066721E-2,6.2415737440619387E-2,6.117809795017206E-2,6.117809795017206E-2,6.1178097950172067E-2,6.1178097950172067E-2,6.1178097950172053E-2,6.2415737440619394E-2,6.2415737440619394E-2,6.241573744061938E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.1487507822783893E-2,6.3034557185843068E-2,6.3653376931066721E-2,6.4272196676290375E-2,6.4272196676290375E-2,6.4272196676290375E-2,6.4272196676290388E-2,6.2432754465750362E-2]
[null,{"$f":"CONCATENATE(\"Each figure is ratio of change shown in Row \",O204, \" to baseline figure given in Row \",O110, \".\")","v":"Each figure is ratio of change shown in Row 204 to baseline figure given in Row 110."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218},"Note: Percents above aren't final. They'll be supplemented by 'period changes' in Section B as well as by Mode Shifting with Autos and Cabs. "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"B. Subway Trip Gains/Losses between periods, due to time-shifting to lower fare periods",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220},{"$f":"P108","v":"Midnight"},{"$f":"Q108","v":"1 a.m."},{"$f":"R108","v":"2 a.m."},{"$f":"S108","v":"3 a.m."},"4 a.m.","5 a.m.","6 a.m.","7 a.m.","8 a.m.","9 a.m.","10 a.m.","11 a.m.","Noon","1 p.m.","2 p.m.","3 p.m.","4 p.m.","5 p.m.","6 p.m.","7 p.m.","8 p.m.","9 p.m.","10 p.m.","11 p.m.",0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"New baseline (with price and duration impacts but before time-shifting to lower fare periods)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222},{"$f":"P110+P204","v":43305.673303581229},19179.821628695205,10689.939033359598,7846.6631153174185,14296.003827892117,51665.823305541016,161608.8477925917,325100.96752110455,481962.29419905168,326107.4910462714,189560.67305524249,153645.72312093727,154782.32396914024,164444.52708201212,194265.17709697154,256656.99499693682,294392.42140609038,412389.17646295007,372845.13449810265,248645.29842066142,182633.03425873764,133557.99004908424,97671.492469636549,85424.765277861123,{"$f":"SUM(P222:AM222)","v":4382678.2569377711}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Can a subway passenger save money by moving to the preceding hour period?",null,null,null,null,null,null,null,null,null,"See Time Switching worksheet for our methodology for calculating time-shifting.",null,null,{"$f":"ROW()","v":224},{"$f":"AND(P141>AM141)","v":false},{"$f":"AND(Q141>P141)","v":false},false,false,false,false,false,false,{"$f":"AND(X141>W141)","v":false},{"$f":"AND(Y141>X141)","v":false},false,false,false,false,false,false,false,false,false,false,false,false,false,false]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,"Can a subway passenger save money by moving to the subsequent hour period?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226},{"$f":"AND(P141>Q141)","v":false},{"$f":"AND(Q141>R141)","v":false},false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,{"$f":"AND(AM141>P141)","v":false}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Ratio, trips in period to trips in preceding period, before pricing (rewrite to return zero unless can save $ by switch earlier)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228},{"$f":"P222/AM222","v":0.5069451834338774},{"$f":"Q222/P222","v":0.44289397128733937},0.55735341236783076,0.73402318673948463,1.8219214483650996,3.6140045797091056,3.1279642412135837,2.0116532724640059,1.4825003378919941,0.6766244890343811,0.58128279251440351,0.81053585980970455,1.0073975430302629,1.0624244607853173,1.1813416995026365,1.3211683062931092,1.1470266820883019,1.400814513136168,0.90410989370764894,0.66688626299326625,0.73451231701858544,0.73129152451068413,0.73130400085940983,0.87461308430827345]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Ratio, trips in period to trips in subsequent period, before pricing (will rewrite to return zero unless can save $ by switching later)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230},{"$f":"P222/Q222","v":2.2578767489052658},1.794193733831561,1.3623547839707608,0.54887108382051786,0.27670136491096831,0.31969674935031267,0.49710355839559456,0.67453610258323859,1.477924633539516,1.7203330511030415,1.2337517062289844,0.99265677876480529,0.94124338897546211,0.8464951338135408,0.75690583496191122,0.87181930081990588,0.71387038799389835,1.1060602333407912,1.4995060709626542,1.3614475575563383,1.3674437163333897,1.3674203871780073,1.1433627256913204,{"$f":"AM222/P222","v":1.9725998642029379}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Ratio, fare in period to fare in preceding period, before pricing",null,null,null,null,null,null,null,null,null,"Is set to 1, since base subway fare has no time variation.",null,null,{"$f":"ROW()","v":232},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Ratio, fare in period to fare in subsequent period, before pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"Ratio, fare in period to fare in preceding period, with pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236},{"$f":"IF(AM141=P141,1,IF(AM141=0, P141/$N$237, P141/AM141))","v":1},{"$f":"IF(P141=Q141,1,IF(P141=0, Q141/$N$237, Q141/P141))","v":1},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,{"$f":"CONCATENATE(\"Note: zero fares, if any, are assigned this value for calc'ing fare ratios in Rows \",O236, \" & \",O238, \" to avoid dividing by zero:\")","v":"Note: zero fares, if any, are assigned this value for calc'ing fare ratios in Rows 236 & 238 to avoid dividing by zero:"},null,null,null,null,null,null,null,null,null,null,null,0.01,{"$f":"ROW()","v":237}]
[null,"Ratio, fare in period to fare in subsequent period, with pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238},{"$f":"IF(Q141=P141,1,IF(Q141=0, P141/$N$237, P141/Q141))","v":1},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,{"$f":"IF(P141=AM141,1,IF(P141=0, AM141/$N$237, AM141/P141))","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,{"$f":"CONCATENATE(\"Ratio of fare ratios for time-switching earlier (Row \",O236,\" divided by Row \",O232,\"); if > 1, some trips will switch earlier\")","v":"Ratio of fare ratios for time-switching earlier (Row 236 divided by Row 232); if > 1, some trips will switch earlier"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240},{"$f":"P236/P232","v":1},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,{"$f":"CONCATENATE(\"Ratio of fare ratios for time-switching later (Row \",O238,\" divided by Row \",O234,\"); if > 1, some trips will switch later\")","v":"Ratio of fare ratios for time-switching later (Row 238 divided by Row 234); if > 1, some trips will switch later"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242},{"$f":"P238/P234","v":1},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Price-elasticity of subway ridership (weighted average of work and non-work transit figures in Elasticities worksheet)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244},{"$f":"P118*Elasticities!$G$64+(1-P118)*Elasticities!$H$64","v":-0.1764},{"$f":"Q118*Elasticities!$G$64+(1-Q118)*Elasticities!$H$64","v":-0.1764},{"$f":"R118*Elasticities!$G$64+(1-R118)*Elasticities!$H$64","v":-0.1764},{"$f":"S118*Elasticities!$G$64+(1-S118)*Elasticities!$H$64","v":-0.1764},{"$f":"T118*Elasticities!$G$64+(1-T118)*Elasticities!$H$64","v":-0.14760000000000001},{"$f":"U118*Elasticities!$G$64+(1-U118)*Elasticities!$H$64","v":-0.11879999999999999},{"$f":"V118*Elasticities!$G$64+(1-V118)*Elasticities!$H$64","v":-0.11879999999999999},{"$f":"W118*Elasticities!$G$64+(1-W118)*Elasticities!$H$64","v":-0.11879999999999999},{"$f":"X118*Elasticities!$G$64+(1-X118)*Elasticities!$H$64","v":-0.11879999999999999},{"$f":"Y118*Elasticities!$G$64+(1-Y118)*Elasticities!$H$64","v":-0.11879999999999999},{"$f":"Z118*Elasticities!$G$64+(1-Z118)*Elasticities!$H$64","v":-0.14760000000000001},{"$f":"AA118*Elasticities!$G$64+(1-AA118)*Elasticities!$H$64","v":-0.14760000000000001},{"$f":"AB118*Elasticities!$G$64+(1-AB118)*Elasticities!$H$64","v":-0.14760000000000001},{"$f":"AC118*Elasticities!$G$64+(1-AC118)*Elasticities!$H$64","v":-0.16200000000000001},{"$f":"AD118*Elasticities!$G$64+(1-AD118)*Elasticities!$H$64","v":-0.16200000000000001},{"$f":"AE118*Elasticities!$G$64+(1-AE118)*Elasticities!$H$64","v":-0.16200000000000001},{"$f":"AF118*Elasticities!$G$64+(1-AF118)*Elasticities!$H$64","v":-0.16200000000000001},{"$f":"AG118*Elasticities!$G$64+(1-AG118)*Elasticities!$H$64","v":-0.126},{"$f":"AH118*Elasticities!$G$64+(1-AH118)*Elasticities!$H$64","v":-0.16200000000000001},{"$f":"AI118*Elasticities!$G$64+(1-AI118)*Elasticities!$H$64","v":-0.1764},{"$f":"AJ118*Elasticities!$G$64+(1-AJ118)*Elasticities!$H$64","v":-0.1908},{"$f":"AK118*Elasticities!$G$64+(1-AK118)*Elasticities!$H$64","v":-0.1908},{"$f":"AL118*Elasticities!$G$64+(1-AL118)*Elasticities!$H$64","v":-0.1908},{"$f":"AM118*Elasticities!$G$64+(1-AM118)*Elasticities!$H$64","v":-0.1908}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"Price-elasticity of driving in same hour (using subway ridership's mix of work and non-work trips)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246},{"$f":"P118*Elasticities!$G$66+(1-P118)*Elasticities!$H$66","v":-0.52},{"$f":"Q118*Elasticities!$G$66+(1-Q118)*Elasticities!$H$66","v":-0.52},{"$f":"R118*Elasticities!$G$66+(1-R118)*Elasticities!$H$66","v":-0.52},{"$f":"S118*Elasticities!$G$66+(1-S118)*Elasticities!$H$66","v":-0.52},{"$f":"T118*Elasticities!$G$66+(1-T118)*Elasticities!$H$66","v":-0.48},{"$f":"U118*Elasticities!$G$66+(1-U118)*Elasticities!$H$66","v":-0.44000000000000006},{"$f":"V118*Elasticities!$G$66+(1-V118)*Elasticities!$H$66","v":-0.44000000000000006},{"$f":"W118*Elasticities!$G$66+(1-W118)*Elasticities!$H$66","v":-0.44000000000000006},{"$f":"X118*Elasticities!$G$66+(1-X118)*Elasticities!$H$66","v":-0.44000000000000006},{"$f":"Y118*Elasticities!$G$66+(1-Y118)*Elasticities!$H$66","v":-0.44000000000000006},{"$f":"Z118*Elasticities!$G$66+(1-Z118)*Elasticities!$H$66","v":-0.48},{"$f":"AA118*Elasticities!$G$66+(1-AA118)*Elasticities!$H$66","v":-0.48},{"$f":"AB118*Elasticities!$G$66+(1-AB118)*Elasticities!$H$66","v":-0.48},{"$f":"AC118*Elasticities!$G$66+(1-AC118)*Elasticities!$H$66","v":-0.5},{"$f":"AD118*Elasticities!$G$66+(1-AD118)*Elasticities!$H$66","v":-0.5},{"$f":"AE118*Elasticities!$G$66+(1-AE118)*Elasticities!$H$66","v":-0.5},{"$f":"AF118*Elasticities!$G$66+(1-AF118)*Elasticities!$H$66","v":-0.5},{"$f":"AG118*Elasticities!$G$66+(1-AG118)*Elasticities!$H$66","v":-0.45000000000000007},{"$f":"AH118*Elasticities!$G$66+(1-AH118)*Elasticities!$H$66","v":-0.5},{"$f":"AI118*Elasticities!$G$66+(1-AI118)*Elasticities!$H$66","v":-0.52},{"$f":"AJ118*Elasticities!$G$66+(1-AJ118)*Elasticities!$H$66","v":-0.54},{"$f":"AK118*Elasticities!$G$66+(1-AK118)*Elasticities!$H$66","v":-0.54},{"$f":"AL118*Elasticities!$G$66+(1-AL118)*Elasticities!$H$66","v":-0.54},{"$f":"AM118*Elasticities!$G$66+(1-AM118)*Elasticities!$H$66","v":-0.54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"Elasticities for calc'ing \"time-switching earlier\" factor ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*P$244/P$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.37553227779998993},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*Q$244/Q$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.37553227779998993},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*R$244/R$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.37553227779998993},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*S$244/S$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.37553227779998993},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*T$244/T$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.34040595929829021},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*U$244/U$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.29889303743264495},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*V$244/V$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.29889303743264495},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*W$244/W$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.29889303743264495},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*X$244/X$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.29889303743264495},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*Y$244/Y$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.29889303743264495},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*Z$244/Z$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.34040595929829021},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AA$244/AA$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.34040595929829021},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AB$244/AB$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.34040595929829021},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AC$244/AC$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.35867164491917403},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AD$244/AD$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.35867164491917403},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AE$244/AE$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.35867164491917403},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AF$244/AF$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.35867164491917403},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AG$244/AG$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.30996314993015039},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AH$244/AH$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.35867164491917403},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AI$244/AI$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.37553227779998993},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AJ$244/AJ$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.39114397491185648},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AK$244/AK$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.39114397491185648},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AL$244/AL$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.39114397491185648},{"$f":"'Weekday Hours'!$H203*'Weekday Hours'!$H187*AM$244/AM$246*('Weekday Hours'!$G$142/'Weekday Hours'!$G$144)","v":-0.39114397491185648}]
[null,"Reflects three adjustments: (i) different avg incomes of subway users vs. drivers (and, hence, different sensitivity to fare differentials; (ii) different price-sensitivity of transit vs. driving; (iii) shorter subway \"fare bins\" vs. PA study.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
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[null,"% of riders who pay on per-ride basis and, thus, may be amenable to time-switching to lower-fare period:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"Transit!$H$73","v":0.49613572167637238},{"$f":"ROW()","v":253},{"$f":"$N$253","v":0.49613572167637238},{"$f":"$N$253","v":0.49613572167637238},0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238,0.49613572167637238]
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[null,"Effective elasticities for calculating 'switching earlier'' factor",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255},{"$f":"P248*P253","v":-0.18631497765906996},-0.18631497765906996,-0.18631497765906996,-0.18631497765906996,-0.16888755627939506,-0.14829151283068828,-0.14829151283068828,-0.14829151283068828,-0.14829151283068828,-0.14829151283068828,-0.16888755627939506,-0.16888755627939506,-0.16888755627939506,-0.17794981539682597,-0.17794981539682597,-0.17794981539682597,-0.17794981539682597,-0.15378379108367679,-0.17794981539682597,-0.18631497765906996,-0.1940604982722588,-0.1940604982722588,-0.1940604982722588,-0.1940604982722588]
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[null,{"$f":"CONCATENATE(\"Factor to multiply Row \",O230,\" figure, to indicate trips switching to subsequent period, first pass\")","v":"Factor to multiply Row 230 figure, to indicate trips switching to subsequent period, first pass"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262},{"$f":"IF(P226=FALSE,1, P242^P257)","v":1},1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"CK needs to annotate / explain these two rows.",{"$f":"ROW()","v":263}]
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[null,"New ratio of trips in period to trips in preceding period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268},{"$f":"P228*P264","v":0.5069451834338774},0.44289397128733937,0.55735341236783076,0.73402318673948463,1.8219214483650996,3.6140045797091056,3.1279642412135837,2.0116532724640059,1.4825003378919941,0.6766244890343811,0.58128279251440351,0.81053585980970455,1.0073975430302629,1.0624244607853173,1.1813416995026365,1.3211683062931092,1.1470266820883019,1.400814513136168,0.90410989370764894,0.66688626299326625,0.73451231701858544,0.73129152451068413,0.73130400085940983,0.87461308430827345]
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[null,"Trips switching to subsequent period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274},{"$f":"IF(P226=FALSE,0,(P$222-Q$222*P270)/(1+P270))","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P274:AM274)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Trips switching into period from subsequent period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276},{"$f":"Q272","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"P272","v":0},{"$f":"SUM(P276:AM276)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Trips switching into period from preceding period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278},{"$f":"AM274","v":0},{"$f":"P274","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"SUM(P278:AM278)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"Net (total) change in trips in period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280},{"$f":"P204+P276+P278+-P272-P274","v":2591.5889572972565},1147.7991252417971,639.72975916632686,469.5764764753502,839.87425065950356,2978.5921938723313,9316.9298715905697,18742.432465502825,27785.662463025816,18800.459666526622,11136.477728563768,9026.514550973061,9093.2885807771745,9751.035727089582,11519.305117750933,15218.94083209255,17456.531207533299,23887.970915273723,22108.526757776213,14879.953606854062,11029.346002013026,8065.6672521679247,5898.4547311111255,5158.8656850298294,{"$f":"SUM(P280:AM280)","v":257543.52392436462}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"Trips in period, with pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282},{"$f":"P110+P280","v":43305.673303581229},19179.821628695205,10689.939033359598,7846.6631153174185,14296.003827892117,51665.823305541016,161608.8477925917,325100.96752110455,481962.29419905168,326107.4910462714,189560.67305524249,153645.72312093727,154782.32396914024,164444.52708201212,194265.17709697154,256656.99499693682,294392.42140609038,412389.17646295007,372845.13449810265,248645.29842066142,182633.03425873764,133557.99004908424,97671.492469636549,85424.765277861123,{"$f":"SUM(P282:AM282)","v":4382678.2569377711}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,"% net change in trips in period",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284},{"$f":"P280/P110","v":6.3653376931066721E-2},6.3653376931066721E-2,6.3653376931066721E-2,6.3653376931066721E-2,6.2415737440619387E-2,6.117809795017206E-2,6.117809795017206E-2,6.1178097950172067E-2,6.1178097950172067E-2,6.1178097950172053E-2,6.2415737440619394E-2,6.2415737440619394E-2,6.241573744061938E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.3034557185843054E-2,6.1487507822783893E-2,6.3034557185843068E-2,6.3653376931066721E-2,6.4272196676290375E-2,6.4272196676290375E-2,6.4272196676290375E-2,6.4272196676290388E-2,6.2432754465750362E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"% 24h trips occurring in each period, with pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286},{"$f":"P282/$AN$282","v":9.8810979872931432E-3},4.3762787282715957E-3,2.4391338826749249E-3,1.7903808254453007E-3,3.261933226620405E-3,1.1788641619711444E-2,3.6874449438939583E-2,7.4178606884151344E-2,0.10996980977011177,7.4408266344909962E-2,4.3252244847124768E-2,3.505749546586414E-2,3.5316834797106116E-2,3.7521469165959595E-2,4.4325676152350481E-2,5.8561678487497749E-2,6.717180777303644E-2,9.4095243202062306E-2,8.5072440329811927E-2,5.6733641815265905E-2,4.1671558702633463E-2,3.047405769238529E-2,2.2285800312861835E-2,1.9491452547910376E-2,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"4. Effect of Subway Trip Changes on Auto Trips into CBD",null,null,null,null,null,null,null,null,"Since this section is concerned with substitution of subway trips for auto trips into the CBD, we must isolate subway trips into and out of the CBD from other subway trips.",null,null,null,{"$f":"ROW()","v":288},{"$f":"P108","v":"Midnight"},{"$f":"Q108","v":"1 a.m."},"2 a.m.","3 a.m.","4 a.m.","5 a.m.","6 a.m.","7 a.m.","8 a.m.","9 a.m.","10 a.m.","11 a.m.","Noon","1 p.m.","2 p.m.","3 p.m.","4 p.m.","5 p.m.","6 p.m.","7 p.m.","8 p.m.","9 p.m.","10 p.m.","11 p.m."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Baseline Subway Trips into CBD ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290},{"$f":"D58","v":7899.0003522283623},{"$f":"D59","v":3362.5879836622503},{"$f":"D60","v":2859.933078887997},{"$f":"D61","v":3495.4737630853292},{"$f":"D62","v":9139.2676268437626},{"$f":"D63","v":37715.487845389282},{"$f":"D64","v":110983.69932903571},{"$f":"D65","v":223532.1768577997},{"$f":"D66","v":359187.3729592897},{"$f":"D67","v":236444.24509174217},{"$f":"D68","v":125227.51417850077},{"$f":"D69","v":89851.008639043794},{"$f":"D70","v":83910.629122659942},{"$f":"D71","v":81520.610973905714},{"$f":"D72","v":90908.31723184482},{"$f":"D73","v":108207.54206761009},{"$f":"D74","v":112607.21689503071},{"$f":"D75","v":126114.38231508523},{"$f":"D76","v":94156.31530426543},{"$f":"D77","v":63119.782285531743},{"$f":"D78","v":44915.393445000576},{"$f":"D79","v":30975.86777160575},{"$f":"D80","v":24309.43117054797},{"$f":"D81","v":19694.057686672495},{"$f":"SUM(P290:AM290)","v":2090137.3139752699}]
[null,{"$f":"CONCATENATE(\"Data at right [Row \",O290, \"] are from Section 2, Row \",O58, \".\")","v":"Data at right [Row 290] are from Section 2, Row 58."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Number that are work-related",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292},{"$f":"P118*P290","v":3159.6001408913453},1345.0351934649002,1143.9732315551989,1398.1895052341317,5483.560576106257,30172.390276311427,88786.959463228573,178825.74148623977,287349.89836743177,189155.39607339376,75136.508507100458,53910.605183426276,50346.377473595967,40760.305486952857,45454.15861592241,54103.771033805046,56303.608447515355,94585.786736313923,47078.157652132715,25247.912914212699,13474.618033500172,9292.7603314817243,7292.8293511643906,5908.2173060017485,{"$f":"SUM(P292:AM292)","v":1365716.361386983}]
[null,{"$f":"CONCATENATE(\"Product of adjusted share of trips that are work-related in Row \",O118, \" and baseline subway trips into CBD in Row \",O290, \".\")","v":"Product of adjusted share of trips that are work-related in Row 118 and baseline subway trips into CBD in Row 290."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Number that are not work-related",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294},{"$f":"P290-P292","v":4739.400211337017},2017.5527901973501,1715.9598473327981,2097.2842578511973,3655.7070507375056,7543.0975690778541,22196.739865807132,44706.435371559928,71837.474591857928,47288.84901834841,50091.005671400315,35940.403455617517,33564.251649063975,40760.305486952857,45454.15861592241,54103.771033805046,56303.608447515355,31528.595578771303,47078.157652132715,37871.869371319044,31440.775411500406,21683.107440124026,17016.601819383581,13785.840380670747,{"$f":"SUM(P294:AM294)","v":724420.95258828637}]
[null,{"$f":"CONCATENATE(\"Row \",O290, \" less Row \",O292, \".\")","v":"Row 290 less Row 292."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,"Baseline subway trips into CBD as % of period's total baseline subway trips into + out of CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296},{"$f":"P290/P110","v":0.19401149452472741},0.18647869272669015,0.28456453003736715,0.47382848192142019,0.67918992414484047,0.77464844445323477,0.72875633089476644,0.72964240025899818,0.79085392743864169,0.76940720825734643,0.70185276133217478,0.6212937377234744,0.57595706429780036,0.52698151848462782,0.49745756906717814,0.4481793163961233,0.40661835782387673,0.32461773738204946,0.26845305915137208,0.27001342879033785,0.26173909139881485,0.24683476312518224,0.26488641729185247,0.24536020634634997,0.50668340533169143]
[null,{"$f":"CONCATENATE(\"Baseline subway trips in Row \",O290, \" divided by Total subway trips in same hour in Row \",O110, \".\")","v":"Baseline subway trips in Row 290 divided by Total subway trips in same hour in Row 110."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,"Change in work trips to CBD via subway due to fare + duration changes (excludes hr-switching)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298},{"$f":"P$296*P200","v":189.38788099443806},80.622026140750663,68.570279965071464,83.808119957309557,328.68713492348138,1808.5469059878478,5321.9310554709155,10718.896929085427,17223.884646499166,11338.061160770036,4503.7167669786095,3231.4263905357834,3017.7849475536991,2443.1913978463876,2724.5431063394362,3243.0048401662498,3374.8641032809005,5669.5154207484065,2821.8863531080333,1513.3714752291139,807.67478249767476,557.01231462535804,437.13553477733041,354.14125400142456,{"$f":"SUM(P298:AM298)","v":81861.664827482848}]
[null,{"$f":"CONCATENATE(\"Prorates absolute incrs in subway work trips in Row \",O200, \" by % of trips in period that are CBD-bound, in Row \",O$296, \".\")","v":"Prorates absolute incrs in subway work trips in Row 200 by % of trips in period that are CBD-bound, in Row 296."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,"Change in non-work trips into CBD due to price and duration changes (excludes hour-switching)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300},{"$f":"P$296*P202","v":313.41016580458262},133.41805424717816,113.4741183030124,138.69058903701512,241.74699367315162,498.81490365590162,1467.8405729532756,2956.3764817362257,4750.5156388692403,3127.1480252070555,3312.4508783281362,2376.6905734535985,2219.5588482434341,2695.4242164131369,3005.8224148800477,3577.8096582340368,3723.2819496275451,2084.9436484159546,3113.2152883469562,2504.4158183987065,2079.136218792366,1433.8747510100513,1125.2850065048729,911.63909499059844,{"$f":"SUM(P300:AM300)","v":47904.983909126073}]
[null,{"$f":"CONCATENATE(\"See explanation in Row \",O299, \" except applies to non-work trips.\")","v":"See explanation in Row 299 except applies to non-work trips."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,"Number of work trips to CBD that mode-shifted from (to) autos",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302},{"$f":"P298*Elasticities!$I$120","v":170.92256259748035},{"$f":"Q298*Elasticities!$I$120","v":72.761378592027469},{"$f":"R298*Elasticities!$I$120","v":61.884677668476996},{"$f":"S298*Elasticities!$I$120","v":75.636828261471877},{"$f":"T298*Elasticities!$I$120","v":296.64013926844194},{"$f":"U298*Elasticities!$I$120","v":1632.2135826540325},{"$f":"V298*Elasticities!$I$120","v":4803.0427775625012},{"$f":"W298*Elasticities!$I$120","v":9673.8044784995982},{"$f":"X298*Elasticities!$I$120","v":15544.555893465496},{"$f":"Y298*Elasticities!$I$120","v":10232.600197594957},{"$f":"Z298*Elasticities!$I$120","v":4064.6043821981948},{"$f":"AA298*Elasticities!$I$120","v":2916.3623174585446},{"$f":"AB298*Elasticities!$I$120","v":2723.5509151672131},{"$f":"AC298*Elasticities!$I$120","v":2204.9802365563646},{"$f":"AD298*Elasticities!$I$120","v":2458.9001534713411},{"$f":"AE298*Elasticities!$I$120","v":2926.8118682500403},{"$f":"AF298*Elasticities!$I$120","v":3045.8148532110126},{"$f":"AG298*Elasticities!$I$120","v":5116.7376672254368},{"$f":"AH298*Elasticities!$I$120","v":2546.7524336799997},{"$f":"AI298*Elasticities!$I$120","v":1365.8177563942752},{"$f":"AJ298*Elasticities!$I$120","v":728.92649120415149},{"$f":"AK298*Elasticities!$I$120","v":502.70361394938561},{"$f":"AL298*Elasticities!$I$120","v":394.51482013654066},{"$f":"AM298*Elasticities!$I$120","v":319.61248173628564},{"$f":"SUM(P302:AM302)","v":73880.152506803279}]
[null,{"$f":"CONCATENATE(\"Applies cross-elasticity from autos to transit in Row \",Elasticities!O120, \" of 'Elasticities' worksheet to increase in work trips in Row \",O298, \".\")","v":"Applies cross-elasticity from autos to transit in Row 120 of 'Elasticities' worksheet to increase in work trips in Row 298."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,"Number of non-work trips to CBD that mode-shifted from (to) autos",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304},{"$f":"P300*Elasticities!$J$120","v":148.86982875717675},{"$f":"Q300*Elasticities!$J$120","v":63.373575767409626},{"$f":"R300*Elasticities!$J$120","v":53.900206193930892},{"$f":"S300*Elasticities!$J$120","v":65.878029792582183},{"$f":"T300*Elasticities!$J$120","v":114.82982199474702},{"$f":"U300*Elasticities!$J$120","v":236.93707923655325},{"$f":"V300*Elasticities!$J$120","v":697.22427215280584},{"$f":"W300*Elasticities!$J$120","v":1404.2788288247073},{"$f":"X300*Elasticities!$J$120","v":2256.4949284628892},{"$f":"Y300*Elasticities!$J$120","v":1485.3953119733512},{"$f":"Z300*Elasticities!$J$120","v":1573.4141672058647},{"$f":"AA300*Elasticities!$J$120","v":1128.9280223904593},{"$f":"AB300*Elasticities!$J$120","v":1054.2904529156312},{"$f":"AC300*Elasticities!$J$120","v":1280.32650279624},{"$f":"AD300*Elasticities!$J$120","v":1427.7656470680226},{"$f":"AE300*Elasticities!$J$120","v":1699.4595876611675},{"$f":"AF300*Elasticities!$J$120","v":1768.558926073084},{"$f":"AG300*Elasticities!$J$120","v":990.34823299757841},{"$f":"AH300*Elasticities!$J$120","v":1478.7772619648042},{"$f":"AI300*Elasticities!$J$120","v":1189.5975137393855},{"$f":"AJ300*Elasticities!$J$120","v":987.58970392637377},{"$f":"AK300*Elasticities!$J$120","v":681.09050672977435},{"$f":"AL300*Elasticities!$J$120","v":534.51037808981459},{"$f":"AM300*Elasticities!$J$120","v":433.02857012053425},{"$f":"SUM(P304:AM304)","v":22754.867356834893}]
[null,{"$f":"CONCATENATE(\"Applies cross-elasticity from autos to transit in Row \",Elasticities!O120, \" of 'Elasticities' worksheet to increase in work trips in Row \",O300, \".\")","v":"Applies cross-elasticity from autos to transit in Row 120 of 'Elasticities' worksheet to increase in work trips in Row 300."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"Decrease (increase) in autos driven to CBD due to subway work-trip price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306},{"$f":"P302/H.I.S.!$G$125","v":148.62831530215684},{"$f":"Q302/H.I.S.!$G$125","v":63.270763993067369},{"$f":"R302/H.I.S.!$G$125","v":53.812763189980004},{"$f":"S302/H.I.S.!$G$125","v":65.771155009975544},{"$f":"T302/H.I.S.!$G$125","v":257.94794718994956},{"$f":"U302/H.I.S.!$G$125","v":1419.3161588295936},{"$f":"V302/H.I.S.!$G$125","v":4176.558937010871},{"$f":"W302/H.I.S.!$G$125","v":8412.0038943474774},{"$f":"X302/H.I.S.!$G$125","v":13517.005124752606},{"$f":"Y302/H.I.S.!$G$125","v":8897.9132152999628},{"$f":"Z302/H.I.S.!$G$125","v":3534.438593215822},{"$f":"AA302/H.I.S.!$G$125","v":2535.9672325726478},{"$f":"AB302/H.I.S.!$G$125","v":2368.3051436236638},{"$f":"AC302/H.I.S.!$G$125","v":1917.3741187446651},{"$f":"AD302/H.I.S.!$G$125","v":2138.1740464968184},{"$f":"AE302/H.I.S.!$G$125","v":2545.0537984782964},{"$f":"AF302/H.I.S.!$G$125","v":2648.5346549660981},{"$f":"AG302/H.I.S.!$G$125","v":4449.3371019351625},{"$f":"AH302/H.I.S.!$G$125","v":2214.5673336347827},{"$f":"AI302/H.I.S.!$G$125","v":1187.6676142558915},{"$f":"AJ302/H.I.S.!$G$125","v":633.84912278621869},{"$f":"AK302/H.I.S.!$G$125","v":437.13357734729186},{"$f":"AL302/H.I.S.!$G$125","v":343.05636533612233},{"$f":"AM302/H.I.S.!$G$125","v":277.92389716198755},{"$f":"SUM(P306:AM306)","v":64243.610875481099}]
[null,"Invokes average work-trip vehicle occupancy from H.I.S. worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Truncated sums, to avoid double-counting 11 p.m. with 12-4 a.m."]
[null,"Decrease (increase) in autos driven to CBD due to subway non-work-trip price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308},{"$f":"P304/H.I.S.!$H$125","v":99.246552504784503},{"$f":"Q304/H.I.S.!$H$125","v":42.24905051160642},{"$f":"R304/H.I.S.!$H$125","v":35.93347079595393},{"$f":"S304/H.I.S.!$H$125","v":43.918686528388122},{"$f":"T304/H.I.S.!$H$125","v":76.553214663164681},{"$f":"U304/H.I.S.!$H$125","v":157.95805282436882},{"$f":"V304/H.I.S.!$H$125","v":464.81618143520387},{"$f":"W304/H.I.S.!$H$125","v":936.18588588313821},{"$f":"X304/H.I.S.!$H$125","v":1504.3299523085927},{"$f":"Y304/H.I.S.!$H$125","v":990.26354131556752},{"$f":"Z304/H.I.S.!$H$125","v":1048.9427781372431},{"$f":"AA304/H.I.S.!$H$125","v":752.61868159363951},{"$f":"AB304/H.I.S.!$H$125","v":702.86030194375417},{"$f":"AC304/H.I.S.!$H$125","v":853.55100186415996},{"$f":"AD304/H.I.S.!$H$125","v":951.84376471201506},{"$f":"AE304/H.I.S.!$H$125","v":1132.9730584407782},{"$f":"AF304/H.I.S.!$H$125","v":1179.0392840487227},{"$f":"AG304/H.I.S.!$H$125","v":660.2321553317189},{"$f":"AH304/H.I.S.!$H$125","v":985.85150797653614},{"$f":"AI304/H.I.S.!$H$125","v":793.06500915959032},{"$f":"AJ304/H.I.S.!$H$125","v":658.39313595091585},{"$f":"AK304/H.I.S.!$H$125","v":454.06033781984956},{"$f":"AL304/H.I.S.!$H$125","v":356.34025205987638},{"$f":"AM304/H.I.S.!$H$125","v":288.68571341368948},{"$f":"SUM(P308:AM308)","v":15169.91157122326}]
[null,"Invokes average non-work-trip vehicle occupancy from H.I.S. worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"Total decrease (increase) in autos driven to CBD due to subway price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310},{"$f":"P306+P308","v":247.87486780694132},{"$f":"Q306+Q308","v":105.51981450467379},89.746233985933941,109.68984153836367,334.50116185311424,1577.2742116539625,4641.3751184460752,9348.1897802306157,15021.3350770612,9888.1767566155304,4583.3813713530653,3288.5859141662872,3071.1654455674179,2770.9251206088252,3090.0178112088333,3678.0268569190748,3827.573939014821,5109.5692572668813,3200.4188416113188,1980.7326234154818,1292.2422587371345,891.19391516714143,699.39661739599865,566.60961057567704,{"$f":"SUM(P310:AM310)","v":79413.522446704344}]
[null,{"$f":"CONCATENATE(\"Each figure is sum of Rows \",O308, \" and \",O310, \".\")","v":"Each figure is sum of Rows 308 and 310."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,"5. Effect of Subway Trip Changes on Medallion Taxi Trips into and in CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,"Number of work trips to CBD that mode-shifted from (to) taxicabs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315},{"$f":"P298*Elasticities!$I$126","v":8.9959243472358086},{"$f":"Q298*Elasticities!$I$126","v":3.8295462416856565},{"$f":"R298*Elasticities!$I$126","v":3.2570882983408946},{"$f":"S298*Elasticities!$I$126","v":3.9808856979722038},{"$f":"T298*Elasticities!$I$126","v":15.612638908865366},{"$f":"U298*Elasticities!$I$126","v":85.905978034422773},{"$f":"V298*Elasticities!$I$126","v":252.7917251348685},{"$f":"W298*Elasticities!$I$126","v":509.14760413155778},{"$f":"X298*Elasticities!$I$126","v":818.1345207087104},{"$f":"Y298*Elasticities!$I$126","v":538.55790513657666},{"$f":"Z298*Elasticities!$I$126","v":213.92654643148396},{"$f":"AA298*Elasticities!$I$126","v":153.49275355044972},{"$f":"AB298*Elasticities!$I$126","v":143.3447850088007},{"$f":"AC298*Elasticities!$I$126","v":116.05159139770342},{"$f":"AD298*Elasticities!$I$126","v":129.41579755112323},{"$f":"AE298*Elasticities!$I$126","v":154.04272990789687},{"$f":"AF298*Elasticities!$I$126","v":160.30604490584278},{"$f":"AG298*Elasticities!$I$126","v":269.30198248554933},{"$f":"AH298*Elasticities!$I$126","v":134.03960177263158},{"$f":"AI298*Elasticities!$I$126","v":71.885145073382915},{"$f":"AJ298*Elasticities!$I$126","v":38.364552168639548},{"$f":"AK298*Elasticities!$I$126","v":26.458084944704506},{"$f":"AL298*Elasticities!$I$126","v":20.763937901923196},{"$f":"AM298*Elasticities!$I$126","v":16.821709565067668},{"$f":"SUM(P315:AM315)","v":3888.4290793054347}]
[null,{"$f":"CONCATENATE(\"Applies cross-elasticity from autos to transit in Row \",Elasticities!O126, \" of 'Elasticities' worksheet to increase in work trips in Row \",O298, \".\")","v":"Applies cross-elasticity from autos to transit in Row 126 of 'Elasticities' worksheet to increase in work trips in Row 298."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,"Number of non-work trips to CBD that mode-shifted from (to) taxicabs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317},{"$f":"P300*Elasticities!$J$126","v":8.0703117694680024},{"$f":"Q300*Elasticities!$J$126","v":3.4355148968648379},{"$f":"R300*Elasticities!$J$126","v":2.9219585463025695},{"$f":"S300*Elasticities!$J$126","v":3.5712826677031395},{"$f":"T300*Elasticities!$J$126","v":6.2249850870836552},{"$f":"U300*Elasticities!$J$126","v":12.844483769139467},{"$f":"V300*Elasticities!$J$126","v":37.796894753546852},{"$f":"W300*Elasticities!$J$126","v":76.12669440470782},{"$f":"X300*Elasticities!$J$126","v":122.32577770088295},{"$f":"Y300*Elasticities!$J$126","v":80.524061649081688},{"$f":"Z300*Elasticities!$J$126","v":85.295610116949518},{"$f":"AA300*Elasticities!$J$126","v":61.199782266430169},{"$f":"AB300*Elasticities!$J$126","v":57.153640342268432},{"$f":"AC300*Elasticities!$J$126","v":69.407173572638285},{"$f":"AD300*Elasticities!$J$126","v":77.399927183161239},{"$f":"AE300*Elasticities!$J$126","v":92.128598699526449},{"$f":"AF300*Elasticities!$J$126","v":95.874510202909292},{"$f":"AG300*Elasticities!$J$126","v":53.687298946710833},{"$f":"AH300*Elasticities!$J$126","v":80.165293674934134},{"$f":"AI300*Elasticities!$J$126","v":64.488707323766704},{"$f":"AJ300*Elasticities!$J$126","v":53.537757633903425},{"$f":"AK300*Elasticities!$J$126","v":36.922274838508827},{"$f":"AL300*Elasticities!$J$126","v":28.97608891750048},{"$f":"AM300*Elasticities!$J$126","v":23.47470669600791},{"$f":"SUM(P317:AM317)","v":1233.5533356599967}]
[null,{"$f":"CONCATENATE(\"Applies cross-elasticity from autos to transit in Row \",Elasticities!O126, \" of 'Elasticities' worksheet to increase in work trips in Row \",O300, \".\")","v":"Applies cross-elasticity from autos to transit in Row 126 of 'Elasticities' worksheet to increase in work trips in Row 300."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,"Decrease (increase) in taxicabs driven into and in CBD due to subway work-trip price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319},{"$f":"P315/Taxis!$L$74","v":6.4256602480255776},{"$f":"Q315/Taxis!$L$74","v":2.735390172632612},{"$f":"R315/Taxis!$L$74","v":2.3264916416720678},{"$f":"S315/Taxis!$L$74","v":2.8434897842658602},{"$f":"T315/Taxis!$L$74","v":11.151884934903833},{"$f":"U315/Taxis!$L$74","v":61.361412881730558},{"$f":"V315/Taxis!$L$74","v":180.56551795347752},{"$f":"W315/Taxis!$L$74","v":363.67686009396988},{"$f":"X315/Taxis!$L$74","v":584.38180050622179},{"$f":"Y315/Taxis!$L$74","v":384.68421795469766},{"$f":"Z315/Taxis!$L$74","v":152.80467602248854},{"$f":"AA315/Taxis!$L$74","v":109.63768110746409},{"$f":"AB315/Taxis!$L$74","v":102.38913214914336},{"$f":"AC315/Taxis!$L$74","v":82.893993855502444},{"$f":"AD315/Taxis!$L$74","v":92.439855393659457},{"$f":"AE315/Taxis!$L$74","v":110.03052136278349},{"$f":"AF315/Taxis!$L$74","v":114.50431778988771},{"$f":"AG315/Taxis!$L$74","v":192.35855891824954},{"$f":"AH315/Taxis!$L$74","v":95.74257269473685},{"$f":"AI315/Taxis!$L$74","v":51.346532195273511},{"$f":"AJ315/Taxis!$L$74","v":27.403251549028251},{"$f":"AK315/Taxis!$L$74","v":18.898632103360363},{"$f":"AL315/Taxis!$L$74","v":14.831384215659426},{"$f":"AM315/Taxis!$L$74","v":12.015506832191193},{"$f":"SUM(P319:AM319)","v":2777.4493423610252}]
[null,"Invokes average medallion taxi vehicle occupancy from Taxi worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,"Decrease (increase) in taxicabs driven into and in CBD due to subway non-work-trip price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321},{"$f":"P317/Taxis!$L$74","v":5.7645084067628591},{"$f":"Q317/Taxis!$L$74","v":2.453939212046313},{"$f":"R317/Taxis!$L$74","v":2.0871132473589782},{"$f":"S317/Taxis!$L$74","v":2.5509161912165284},{"$f":"T317/Taxis!$L$74","v":4.4464179193454685},{"$f":"U317/Taxis!$L$74","v":9.1746312636710492},{"$f":"V317/Taxis!$L$74","v":26.997781966819183},{"$f":"W317/Taxis!$L$74","v":54.376210289077015},{"$f":"X317/Taxis!$L$74","v":87.375555500630682},{"$f":"Y317/Taxis!$L$74","v":57.51718689220121},{"$f":"Z317/Taxis!$L$74","v":60.925435797821088},{"$f":"AA317/Taxis!$L$74","v":43.714130190307266},{"$f":"AB317/Taxis!$L$74","v":40.824028815906026},{"$f":"AC317/Taxis!$L$74","v":49.57655255188449},{"$f":"AD317/Taxis!$L$74","v":55.285662273686604},{"$f":"AE317/Taxis!$L$74","v":65.806141928233188},{"$f":"AF317/Taxis!$L$74","v":68.481793002078064},{"$f":"AG317/Taxis!$L$74","v":38.348070676222022},{"$f":"AH317/Taxis!$L$74","v":57.260924053524384},{"$f":"AI317/Taxis!$L$74","v":46.06336237411908},{"$f":"AJ317/Taxis!$L$74","v":38.24125545278816},{"$f":"AK317/Taxis!$L$74","v":26.373053456077734},{"$f":"AL317/Taxis!$L$74","v":20.697206369643201},{"$f":"AM317/Taxis!$L$74","v":16.767647640005652},{"$f":"SUM(P321:AM321)","v":881.10952547142631}]
[null,"Invokes average medallion taxi vehicle occupancy from Taxi worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Total decrease (increase) in taxicabs driven into and in CBD due to subway price and duration changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323},{"$f":"P319+P321","v":12.190168654788437},5.189329384678925,4.4136048890310455,5.394405975482389,15.598302854249301,70.536044145401604,207.56329992029671,418.05307038304687,671.75735600685243,442.20140484689887,213.73011182030962,153.35181129777135,143.21316096504938,132.47054640738693,147.72551766734605,175.83666329101669,182.98611079196576,230.70662959447156,153.00349674826123,97.409894569392591,65.644507001816407,45.271685559438097,35.528590585302624,28.783154472196845,{"$f":"SUM(P323:AM323)","v":3658.5588678324511}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"6. Change in Transit Trips in/out of CBD due to Changes in Auto Trips from Pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326},null,{"$f":"2*'Policy Levers'!$K$30","v":2.0000000000000002E-5}]
[null,"A. Changes in Inbound Auto Trips, Grouped by \"Pricing\" Bins",null,null,null,null,null,null,null,null,null,"Note that, conservatively, in estimating \"attraction\" of tolled-off auto trips to transit, we count work and non-work trips but we exclude through-trips; even though, in reality, some through trips would switch to transit as well.",null,null,{"$f":"ROW()","v":327}]
[null,"Change in auto work trips from congestion pricing (vehicles)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328},{"$f":"IF('Policy Levers'!$K$30<0.001,0,'Motor Vs'!P983)","v":0},null,null,null,null,{"$f":"IF('Policy Levers'!$K$31<0.001,0,'Motor Vs'!Q983)","v":0},{"$f":"IF('Policy Levers'!$K$34<0.001,0,'Motor Vs'!R983)","v":-30224.319192062278},null,null,{"$f":"IF('Policy Levers'!$K$33<0.001,0,'Motor Vs'!S983)","v":-4207.940725122955},{"$f":"IF('Policy Levers'!$K$32<0.001,0,'Motor Vs'!T983)","v":-12065.395424055263},null,null,null,{"$f":"IF('Policy Levers'!$K$33<0.001,0,'Motor Vs'!U983)","v":-15021.316963727921},null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$31<0.001,0,'Motor Vs'!V983)","v":0},null,null,{"$f":"IF('Policy Levers'!$K$30<0.001,0,'Motor Vs'!P983)","v":0},{"$f":"P328+U328+V328+Y328+Z328+AD328+AJ328","v":-61518.972304968418}]
[null,{"$f":"CONCATENATE(\"From Motor Vehicles worksheet, Row \",'Motor Vs'!O983,\", grouped by time bins.\")","v":"From Motor Vehicles worksheet, Row 983, grouped by time bins."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Change in auto work trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330},{"$f":"P328*H.I.S.!$G$125","v":0},null,{"$f":"P328/H.I.S.!$G$125","v":0},null,null,{"$f":"U328*H.I.S.!$G$125","v":0},{"$f":"V328*H.I.S.!$G$125","v":-34757.967070871615},null,null,{"$f":"Y328*H.I.S.!$G$125","v":-4839.1318338913979},{"$f":"Z328*H.I.S.!$G$125","v":-13875.204737663551},null,null,null,{"$f":"AD328*H.I.S.!$G$125","v":-17274.514508287106},null,null,null,null,null,{"$f":"AJ328*H.I.S.!$G$125","v":0},null,null,{"$f":"AM328*H.I.S.!$G$125","v":0},{"$f":"P330+U330+V330+Y330+Z330+AD330+AJ330","v":-70746.818150713676},"Note agreements between like-colored cells; lower rows allocate \"bin\" figures in upper rows to individual hours."]
[null,"Multiplies previous row values by work trip vehicle occupancy in H.I.S. worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"Change in auto non-work trips from congestion pricing (vehicles)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332},{"$f":"IF('Policy Levers'!$K$30<0.001,0,'Motor Vs'!Y983)","v":0},null,null,null,null,{"$f":"IF('Policy Levers'!$K$31<0.001,0,'Motor Vs'!Z983)","v":0},{"$f":"IF('Policy Levers'!$K$34<0.001,0,'Motor Vs'!AA983)","v":-3241.6647727393774},null,null,{"$f":"IF('Policy Levers'!$K$33<0.001,0,'Motor Vs'!AB983)","v":-905.75188462068036},{"$f":"IF('Policy Levers'!$K$32<0.001,0,'Motor Vs'!AC983)","v":-3739.0973875568343},null,null,null,{"$f":"IF('Policy Levers'!$K$33<0.001,0,'Motor Vs'!AD983)","v":-11324.485586075876},null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$31<0.001,0,'Motor Vs'!AE983)","v":0},null,null,{"$f":"IF('Policy Levers'!$K$30<0.001,0,'Motor Vs'!Y983)","v":0},{"$f":"P332+U332+V332+Y332+Z332+AD332+AJ332","v":-19210.999630992766}]
[null,{"$f":"CONCATENATE(\"From Motor Vehicles worksheet, Row \",'Motor Vs'!O983, \", grouped by time bins.\")","v":"From Motor Vehicles worksheet, Row 983, grouped by time bins."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Change in auto non-work trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334},{"$f":"P332*H.I.S.!$H$125","v":0},null,{"$f":"P332/H.I.S.!$G$125","v":0},null,null,{"$f":"U332*H.I.S.!$H$125","v":0},{"$f":"V332*H.I.S.!$H$125","v":-4862.4971591090662},null,null,{"$f":"Y332*H.I.S.!$H$125","v":-1358.6278269310205},{"$f":"Z332*H.I.S.!$H$125","v":-5608.6460813352514},null,null,null,{"$f":"AD332*H.I.S.!$H$125","v":-16986.728379113814},null,null,null,null,null,{"$f":"AJ332*H.I.S.!$H$125","v":0},null,null,{"$f":"AM332*H.I.S.!$H$125","v":0},{"$f":"P334+U334+V334+Y334+Z334+AD334+AJ334","v":-28816.499446489153}]
[null,"Multiplies previous row values by work trip vehicle occupancy in H.I.S. worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"B. Same Changes in Inbound Auto Person-Trips, Now Grouped by Hourly Bins",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Change in auto work person-trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338},{"$f":"'Weekday Hours'!$T35/'Weekday Hours'!$T$66*Subways!$P$330","v":0},{"$f":"'Weekday Hours'!$T36/'Weekday Hours'!$T$66*Subways!$P$330","v":0},{"$f":"'Weekday Hours'!$T37/'Weekday Hours'!$T$66*Subways!$P$330","v":0},{"$f":"'Weekday Hours'!$T38/'Weekday Hours'!$T$66*Subways!$P$330","v":0},{"$f":"'Weekday Hours'!$T39/'Weekday Hours'!$T$66*Subways!$P$330","v":0},{"$f":"'Weekday Hours'!$T40/'Weekday Hours'!$T$67*Subways!$U$330","v":0},{"$f":"'Weekday Hours'!$T41/'Weekday Hours'!$T$68*Subways!$V$330","v":-11654.485466795575},{"$f":"'Weekday Hours'!$T42/'Weekday Hours'!$T$68*Subways!$V$330","v":-11981.638450329547},{"$f":"'Weekday Hours'!$T43/'Weekday Hours'!$T$68*Subways!$V$330","v":-11121.843153746495},{"$f":"'Weekday Hours'!$T44/'Weekday Hours'!$T$69*Subways!$Y$330","v":-4839.1318338913979},{"$f":"'Weekday Hours'!$T45/'Weekday Hours'!$T$70*Subways!$Z$330","v":-3678.1197956689398},{"$f":"'Weekday Hours'!$T46/'Weekday Hours'!$T$70*Subways!$Z$330","v":-3468.191155559176},{"$f":"'Weekday Hours'!$T47/'Weekday Hours'!$T$70*Subways!$Z$330","v":-3305.1757023655796},{"$f":"'Weekday Hours'!$T48/'Weekday Hours'!$T$70*Subways!$Z$330","v":-3423.7180840698556},{"$f":"'Weekday Hours'!$T49/'Weekday Hours'!$T$71*Subways!$AD$330","v":-2858.1967282985552},{"$f":"'Weekday Hours'!$T50/'Weekday Hours'!$T$71*Subways!$AD$330","v":-2946.2444220577363},{"$f":"'Weekday Hours'!$T51/'Weekday Hours'!$T$71*Subways!$AD$330","v":-2965.0107019994202},{"$f":"'Weekday Hours'!$T52/'Weekday Hours'!$T$71*Subways!$AD$330","v":-3007.9577951118649},{"$f":"'Weekday Hours'!$T53/'Weekday Hours'!$T$71*Subways!$AD$330","v":-2914.8647408437728},{"$f":"'Weekday Hours'!$T54/'Weekday Hours'!$T$71*Subways!$AD$330","v":-2582.2401199757555},{"$f":"'Weekday Hours'!$T55/'Weekday Hours'!$T$72*Subways!$AJ$330","v":0},{"$f":"'Weekday Hours'!$T56/'Weekday Hours'!$T$72*Subways!$AJ$330","v":0},{"$f":"'Weekday Hours'!$T57/'Weekday Hours'!$T$72*Subways!$AJ$330","v":0},{"$f":"'Weekday Hours'!$T58/'Weekday Hours'!$T$66*Subways!$AM$330","v":0},{"$f":"SUM(P338:AM338)","v":-70746.818150713676}]
[null,{"$f":"CONCATENATE(\"Pricing bins in Row \",O330, \" are allocated to hour bins by prorating with %'s in array in 'By Hour' worksheet.\")","v":"Pricing bins in Row 330 are allocated to hour bins by prorating with %'s in array in 'By Hour' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,"Change in auto non-work person-trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340},{"$f":"'Weekday Hours'!$U35/'Weekday Hours'!$U$66*Subways!$P$334","v":0},{"$f":"'Weekday Hours'!$U36/'Weekday Hours'!$U$66*Subways!$P$334","v":0},{"$f":"'Weekday Hours'!$U37/'Weekday Hours'!$U$66*Subways!$P$334","v":0},{"$f":"'Weekday Hours'!$U38/'Weekday Hours'!$U$66*Subways!$P$334","v":0},{"$f":"'Weekday Hours'!$U39/'Weekday Hours'!$U$66*Subways!$P$334","v":0},{"$f":"'Weekday Hours'!$U40/'Weekday Hours'!$U$67*Subways!$U$334","v":0},{"$f":"'Weekday Hours'!$U41/'Weekday Hours'!$U$68*Subways!$V$334","v":-1630.4147580789547},{"$f":"'Weekday Hours'!$U42/'Weekday Hours'!$U$68*Subways!$V$334","v":-1676.1821198404843},{"$f":"'Weekday Hours'!$U43/'Weekday Hours'!$U$68*Subways!$V$334","v":-1555.9002811896271},{"$f":"'Weekday Hours'!$U44/'Weekday Hours'!$U$69*Subways!$Y$334","v":-1358.6278269310205},{"$f":"'Weekday Hours'!$U45/'Weekday Hours'!$U$70*Subways!$Z$334","v":-1486.7724526372631},{"$f":"'Weekday Hours'!$U46/'Weekday Hours'!$U$70*Subways!$Z$334","v":-1401.914933993547},{"$f":"'Weekday Hours'!$U47/'Weekday Hours'!$U$70*Subways!$Z$334","v":-1336.0207003560756},{"$f":"'Weekday Hours'!$U48/'Weekday Hours'!$U$70*Subways!$Z$334","v":-1383.9379943483655},{"$f":"'Weekday Hours'!$U49/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2810.5803757545686},{"$f":"'Weekday Hours'!$U50/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2897.1612320545873},{"$f":"'Weekday Hours'!$U51/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2915.6148736838727},{"$f":"'Weekday Hours'!$U52/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2957.8464863305626},{"$f":"'Weekday Hours'!$U53/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2866.3043231007032},{"$f":"'Weekday Hours'!$U54/'Weekday Hours'!$U$71*Subways!$AD$334","v":-2539.2210881895189},{"$f":"'Weekday Hours'!$U55/'Weekday Hours'!$U$72*Subways!$AJ$334","v":0},{"$f":"'Weekday Hours'!$U56/'Weekday Hours'!$U$72*Subways!$AJ$334","v":0},{"$f":"'Weekday Hours'!$U57/'Weekday Hours'!$U$72*Subways!$AJ$334","v":0},{"$f":"'Weekday Hours'!$U58/'Weekday Hours'!$U$66*Subways!$AM$334","v":0},{"$f":"SUM(P340:AM340)","v":-28816.499446489153}]
[null,{"$f":"CONCATENATE(\"Pricing bins in Row \",O334, \" are allocated to hour bins by prorating with %'s in array in 'By Hour' worksheet.\")","v":"Pricing bins in Row 334 are allocated to hour bins by prorating with %'s in array in 'By Hour' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,"C. Resulting Changes in Inbound Transit Trips (Grouped by Hourly Bins)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Change in transit work trips from change in auto work person-trips ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344},{"$f":"-Elasticities!$I$114*Subways!P338","v":0},{"$f":"-Elasticities!$I$114*Subways!Q338","v":0},{"$f":"-Elasticities!$I$114*Subways!R338","v":0},{"$f":"-Elasticities!$I$114*Subways!S338","v":0},{"$f":"-Elasticities!$I$114*Subways!T338","v":0},{"$f":"-Elasticities!$I$114*Subways!U338","v":0},{"$f":"-Elasticities!$I$114*Subways!V338","v":10518.173133783006},{"$f":"-Elasticities!$I$114*Subways!W338","v":10813.428701422416},{"$f":"-Elasticities!$I$114*Subways!X338","v":10037.463446256212},{"$f":"-Elasticities!$I$114*Subways!Y338","v":4367.3164800869863},{"$f":"-Elasticities!$I$114*Subways!Z338","v":3319.5031155912179},{"$f":"-Elasticities!$I$114*Subways!AA338","v":3130.0425178921564},{"$f":"-Elasticities!$I$114*Subways!AB338","v":2982.9210713849357},{"$f":"-Elasticities!$I$114*Subways!AC338","v":3089.9055708730448},{"$f":"-Elasticities!$I$114*Subways!AD338","v":2579.5225472894458},{"$f":"-Elasticities!$I$114*Subways!AE338","v":2658.9855909071071},{"$f":"-Elasticities!$I$114*Subways!AF338","v":2675.9221585544765},{"$f":"-Elasticities!$I$114*Subways!AG338","v":2714.6819100884582},{"$f":"-Elasticities!$I$114*Subways!AH338","v":2630.6654286115049},{"$f":"-Elasticities!$I$114*Subways!AI338","v":2330.4717082781194},{"$f":"-Elasticities!$I$114*Subways!AJ338","v":0},{"$f":"-Elasticities!$I$114*Subways!AK338","v":0},{"$f":"-Elasticities!$I$114*Subways!AL338","v":0},{"$f":"-Elasticities!$I$114*Subways!AM338","v":0},{"$f":"SUM(P344:AM344)","v":63849.003381019087}]
[null,"Change in transit non-work trips from change in auto non-work person-trips ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345},{"$f":"-Elasticities!$J$114*Subways!P340","v":0},{"$f":"-Elasticities!$J$114*Subways!Q340","v":0},{"$f":"-Elasticities!$J$114*Subways!R340","v":0},{"$f":"-Elasticities!$J$114*Subways!S340","v":0},{"$f":"-Elasticities!$J$114*Subways!T340","v":0},{"$f":"-Elasticities!$J$114*Subways!U340","v":0},{"$f":"-Elasticities!$J$114*Subways!V340","v":774.44701008750349},{"$f":"-Elasticities!$J$114*Subways!W340","v":796.18650692423},{"$f":"-Elasticities!$J$114*Subways!X340","v":739.05263356507282},{"$f":"-Elasticities!$J$114*Subways!Y340","v":645.34821779223478},{"$f":"-Elasticities!$J$114*Subways!Z340","v":706.21691500269992},{"$f":"-Elasticities!$J$114*Subways!AA340","v":665.90959364693481},{"$f":"-Elasticities!$J$114*Subways!AB340","v":634.60983266913593},{"$f":"-Elasticities!$J$114*Subways!AC340","v":657.37054731547357},{"$f":"-Elasticities!$J$114*Subways!AD340","v":1335.0256784834201},{"$f":"-Elasticities!$J$114*Subways!AE340","v":1376.151585225929},{"$f":"-Elasticities!$J$114*Subways!AF340","v":1384.9170649998396},{"$f":"-Elasticities!$J$114*Subways!AG340","v":1404.9770810070172},{"$f":"-Elasticities!$J$114*Subways!AH340","v":1361.494553472834},{"$f":"-Elasticities!$J$114*Subways!AI340","v":1206.1300168900214},{"$f":"-Elasticities!$J$114*Subways!AJ340","v":0},{"$f":"-Elasticities!$J$114*Subways!AK340","v":0},{"$f":"-Elasticities!$J$114*Subways!AL340","v":0},{"$f":"-Elasticities!$J$114*Subways!AM340","v":0},{"$f":"SUM(P345:AM345)","v":13687.837237082345}]
[null,{"$f":"CONCATENATE(\"Above two rows are factored by respective cross-elasticities in Elasticities worksheet, Row \",Elasticities!O114, \".\")","v":"Above two rows are factored by respective cross-elasticities in Elasticities worksheet, Row 114."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"D. Changes in Outbound Trips, Grouped by Hourly Bins (Part D telescopes Parts A-C above into one)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Change in auto work trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349},{"$f":"'Weekday Hours'!$L$35*Subways!$AN$330","v":-1938.1929204748544},{"$f":"'Weekday Hours'!$L$36*Subways!$AN$330","v":-1211.2119151035558},{"$f":"'Weekday Hours'!$L$37*Subways!$AN$330","v":-844.23088816688767},{"$f":"'Weekday Hours'!$L$38*Subways!$AN$330","v":-755.3811799591341},{"$f":"'Weekday Hours'!$L$39*Subways!$AN$330","v":-1003.0497415882473},{"$f":"'Weekday Hours'!$L$40*Subways!$AN$330","v":-1614.8434466759225},{"$f":"'Weekday Hours'!$L$41*Subways!$AN$330","v":-2631.2206444953326},{"$f":"'Weekday Hours'!$L$42*Subways!$AN$330","v":-3132.1902046131577},{"$f":"'Weekday Hours'!$L$43*Subways!$AN$330","v":-3228.4176118060195},{"$f":"'Weekday Hours'!$L$44*Subways!$AN$330","v":-2962.106477472601},{"$f":"'Weekday Hours'!$L$45*Subways!$AN$330","v":-2908.7173224513349},{"$f":"'Weekday Hours'!$L$46*Subways!$AN$330","v":-3017.9548654889036},{"$f":"'Weekday Hours'!$L$47*Subways!$AN$330","v":-3139.1712531151957},{"$f":"'Weekday Hours'!$L$48*Subways!$AN$330","v":-3410.4008534386867},{"$f":"'Weekday Hours'!$L$49*Subways!$AN$330","v":-3860.9958022065798},{"$f":"'Weekday Hours'!$L$50*Subways!$AN$330","v":-4411.9433231912662},{"$f":"'Weekday Hours'!$L$51*Subways!$AN$330","v":-4681.5863215824766},{"$f":"'Weekday Hours'!$L$52*Subways!$AN$330","v":-4736.4034183427948},{"$f":"'Weekday Hours'!$L$53*Subways!$AN$330","v":-4515.3897691760076},{"$f":"'Weekday Hours'!$L$54*Subways!$AN$330","v":-4234.3232368723729},{"$f":"'Weekday Hours'!$L$55*Subways!$AN$330","v":-3825.2179286336363},{"$f":"'Weekday Hours'!$L$56*Subways!$AN$330","v":-3263.6401747026653},{"$f":"'Weekday Hours'!$L$57*Subways!$AN$330","v":-2918.8715748179347},{"$f":"'Weekday Hours'!$L$58*Subways!$AN$330","v":-2501.3572763381071},{"$f":"SUM(P349:AM349)","v":-70746.818150713691}]
[null,{"$f":"CONCATENATE(\"Aggregate change in work person-trips in Row \",O330, \" is allocated via hourly %'s of outbound trips in 'By Hour' worksheet.\")","v":"Aggregate change in work person-trips in Row 330 is allocated via hourly %'s of outbound trips in 'By Hour' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Change in auto non-work trips from congestion pricing (persons)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351},{"$f":"'Weekday Hours'!$L$35*Subways!$AN$334","v":-789.46215080754723},{"$f":"'Weekday Hours'!$L$36*Subways!$AN$334","v":-493.34921899679233},{"$f":"'Weekday Hours'!$L$37*Subways!$AN$334","v":-343.87099741707254},{"$f":"'Weekday Hours'!$L$38*Subways!$AN$334","v":-307.68085297926757},{"$f":"'Weekday Hours'!$L$39*Subways!$AN$334","v":-408.56088059964912},{"$f":"'Weekday Hours'!$L$40*Subways!$AN$334","v":-657.75587515710674},{"$f":"'Weekday Hours'!$L$41*Subways!$AN$334","v":-1071.7452774224264},{"$f":"'Weekday Hours'!$L$42*Subways!$AN$334","v":-1275.7995293195147},{"$f":"'Weekday Hours'!$L$43*Subways!$AN$334","v":-1314.9947482508162},{"$f":"'Weekday Hours'!$L$44*Subways!$AN$334","v":-1206.521252824288},{"$f":"'Weekday Hours'!$L$45*Subways!$AN$334","v":-1184.7748535326427},{"$f":"'Weekday Hours'!$L$46*Subways!$AN$334","v":-1229.2693436137656},{"$f":"'Weekday Hours'!$L$47*Subways!$AN$334","v":-1278.6430406681993},{"$f":"'Weekday Hours'!$L$48*Subways!$AN$334","v":-1389.1199190903917},{"$f":"'Weekday Hours'!$L$49*Subways!$AN$334","v":-1572.655651596403},{"$f":"'Weekday Hours'!$L$50*Subways!$AN$334","v":-1797.0668597397569},{"$f":"'Weekday Hours'!$L$51*Subways!$AN$334","v":-1906.8974855827025},{"$f":"'Weekday Hours'!$L$52*Subways!$AN$334","v":-1929.2255121956696},{"$f":"'Weekday Hours'!$L$53*Subways!$AN$334","v":-1839.2025279066295},{"$f":"'Weekday Hours'!$L$54*Subways!$AN$334","v":-1724.7188834931089},{"$f":"'Weekday Hours'!$L$55*Subways!$AN$334","v":-1558.0826559343941},{"$f":"'Weekday Hours'!$L$56*Subways!$AN$334","v":-1329.3415555100889},{"$f":"'Weekday Hours'!$L$57*Subways!$AN$334","v":-1188.9108700398203},{"$f":"'Weekday Hours'!$L$58*Subways!$AN$334","v":-1018.849503811099},{"$f":"SUM(P351:AM351)","v":-28816.49944648915}]
[null,{"$f":"CONCATENATE(\"Aggregate change in work person-trips in Row \",O334, \" is allocated via hourly %'s of outbound trips in 'By Hour' worksheet.\")","v":"Aggregate change in work person-trips in Row 334 is allocated via hourly %'s of outbound trips in 'By Hour' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Change in transit work trips from change in auto work person-trips ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353},{"$f":"-Elasticities!$I$114*Subways!P349","v":1749.219110728556},{"$f":"-Elasticities!$I$114*Subways!Q349","v":1093.1187533809591},{"$f":"-Elasticities!$I$114*Subways!R349","v":761.91837657061615},{"$f":"-Elasticities!$I$114*Subways!S349","v":681.73151491311853},{"$f":"-Elasticities!$I$114*Subways!T349","v":905.25239178339325},{"$f":"-Elasticities!$I$114*Subways!U349","v":1457.3962106250199},{"$f":"-Elasticities!$I$114*Subways!V349","v":2374.6766316570374},{"$f":"-Elasticities!$I$114*Subways!W349","v":2826.8016596633747},{"$f":"-Elasticities!$I$114*Subways!X349","v":2913.6468946549326},{"$f":"-Elasticities!$I$114*Subways!Y349","v":2673.3010959190224},{"$f":"-Elasticities!$I$114*Subways!Z349","v":2625.1173835123295},{"$f":"-Elasticities!$I$114*Subways!AA349","v":2723.7042661037353},{"$f":"-Elasticities!$I$114*Subways!AB349","v":2833.1020559364638},{"$f":"-Elasticities!$I$114*Subways!AC349","v":3077.8867702284147},{"$f":"-Elasticities!$I$114*Subways!AD349","v":3484.5487114914381},{"$f":"-Elasticities!$I$114*Subways!AE349","v":3981.7788491801175},{"$f":"-Elasticities!$I$114*Subways!AF349","v":4225.1316552281851},{"$f":"-Elasticities!$I$114*Subways!AG349","v":4274.6040850543723},{"$f":"-Elasticities!$I$114*Subways!AH349","v":4075.1392666813467},{"$f":"-Elasticities!$I$114*Subways!AI349","v":3821.4767212773163},{"$f":"-Elasticities!$I$114*Subways!AJ349","v":3452.2591805918569},{"$f":"-Elasticities!$I$114*Subways!AK349","v":2945.4352576691554},{"$f":"-Elasticities!$I$114*Subways!AL349","v":2634.2815962731861},{"$f":"-Elasticities!$I$114*Subways!AM349","v":2257.4749418951415},{"$f":"SUM(P353:AM353)","v":63849.00338101908}]
[null,"Change in transit non-work trips from change in auto non-work person-trips ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354},{"$f":"-Elasticities!$J$114*Subways!P351","v":374.9945216335849},{"$f":"-Elasticities!$J$114*Subways!Q351","v":234.34087902347633},{"$f":"-Elasticities!$J$114*Subways!R351","v":163.33872377310945},{"$f":"-Elasticities!$J$114*Subways!S351","v":146.1484051651521},{"$f":"-Elasticities!$J$114*Subways!T351","v":194.06641828483333},{"$f":"-Elasticities!$J$114*Subways!U351","v":312.43404069962571},{"$f":"-Elasticities!$J$114*Subways!V351","v":509.07900677565249},{"$f":"-Elasticities!$J$114*Subways!W351","v":606.00477642676947},{"$f":"-Elasticities!$J$114*Subways!X351","v":624.62250541913761},{"$f":"-Elasticities!$J$114*Subways!Y351","v":573.09759509153673},{"$f":"-Elasticities!$J$114*Subways!Z351","v":562.76805542800525},{"$f":"-Elasticities!$J$114*Subways!AA351","v":583.90293821653859},{"$f":"-Elasticities!$J$114*Subways!AB351","v":607.3554443173947},{"$f":"-Elasticities!$J$114*Subways!AC351","v":659.83196156793599},{"$f":"-Elasticities!$J$114*Subways!AD351","v":747.01143450829136},{"$f":"-Elasticities!$J$114*Subways!AE351","v":853.60675837638451},{"$f":"-Elasticities!$J$114*Subways!AF351","v":905.77630565178367},{"$f":"-Elasticities!$J$114*Subways!AG351","v":916.38211829294301},{"$f":"-Elasticities!$J$114*Subways!AH351","v":873.62120075564894},{"$f":"-Elasticities!$J$114*Subways!AI351","v":819.24146965922671},{"$f":"-Elasticities!$J$114*Subways!AJ351","v":740.08926156883717},{"$f":"-Elasticities!$J$114*Subways!AK351","v":631.43723886729219},{"$f":"-Elasticities!$J$114*Subways!AL351","v":564.73266326891462},{"$f":"-Elasticities!$J$114*Subways!AM351","v":483.953514310272},{"$f":"SUM(P354:AM354)","v":13687.837237082345}]
[null,{"$f":"CONCATENATE(\"Above two rows are factored by respective cross-elasticities in Elasticities worksheet, Row \",Elasticities!O114, \".\")","v":"Above two rows are factored by respective cross-elasticities in Elasticities worksheet, Row 114."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,"E1. Total Changes in Inbound Transit Trips",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O344,\" and \",O345,\".\")","v":"Sum of Rows 344 and 345."},null,null,null,{"$f":"ROW()","v":357},{"$f":"P344+P345","v":0},{"$f":"Q344+Q345","v":0},0,0,0,0,11292.62014387051,11609.615208346646,10776.516079821284,5012.6646978792214,4025.7200305939177,3795.9521115390912,3617.5309040540715,3747.2761181885185,3914.5482257728659,4035.1371761330361,4060.839223554316,4119.6589910954754,3992.1599820843389,3536.6017251681405,0,0,0,0,{"$f":"SUM(P357:AM357)","v":77536.840618101443}]
[null,"E2. Total Changes in Outbound Transit Trips",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O353,\" and \",O354,\".\")","v":"Sum of Rows 353 and 354."},null,null,null,{"$f":"ROW()","v":358},{"$f":"P353+P354","v":2124.2136323621407},{"$f":"Q353+Q354","v":1327.4596324044355},925.2571003437256,827.87992007827063,1099.3188100682266,1769.8302513246456,2883.7556384326899,3432.8064360901444,3538.2694000740703,3246.3986910105591,3187.885438940335,3307.6072043202739,3440.4575002538586,3737.7187317963508,4231.5601459997297,4835.3856075565018,5130.9079608799684,5190.9862033473155,4948.7604674369959,4640.7181909365427,4192.3484421606936,3576.8724965364477,3199.0142595421007,2741.4284562054136,{"$f":"SUM(P358:AM358)","v":77536.840618101443}]
[null,"E3. Total Changes in Inbound and Outbound Transit Trips",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O357,\" and \",O358,\".\")","v":"Sum of Rows 357 and 358."},null,null,null,{"$f":"ROW()","v":359},{"$f":"P357+P358","v":2124.2136323621407},{"$f":"Q344+Q345+Q353+Q354","v":1327.4596324044355},925.2571003437256,827.87992007827063,1099.3188100682266,1769.8302513246456,14176.375782303199,15042.42164443679,14314.785479895354,8259.063388889781,7213.6054695342518,7103.5593158593656,7057.9884043079292,7484.9948499848688,8146.1083717725951,8870.5227836895392,9191.7471844342836,9310.6451944427899,8940.9204495213344,8177.3199161046841,4192.3484421606936,3576.8724965364477,3199.0142595421007,2741.4284562054136,{"$f":"SUM(P359:AM359)","v":155073.68123620286}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"7. Allocation of Tolled-Off CBD-bound Auto Trips between Subway and Bus",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Baseline data for subway/bus allocation",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,"Weekday bus riders to CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364},{"$f":"Buses!$I$209","v":189},{"$f":"Buses!$I$210","v":49},{"$f":"Buses!$I$211","v":29},{"$f":"Buses!$I$212","v":36},{"$f":"Buses!$I$213","v":112},{"$f":"Buses!$I$214","v":1169},{"$f":"Buses!$I$215","v":6057},{"$f":"Buses!$I$216","v":14026},{"$f":"Buses!$I$217","v":16976},{"$f":"Buses!$I$218","v":9063},{"$f":"Buses!$I$219","v":4231},{"$f":"Buses!$I$220","v":2779},{"$f":"Buses!$I$221","v":2404},{"$f":"Buses!$I$222","v":2307},{"$f":"Buses!$I$223","v":2521},{"$f":"Buses!$I$224","v":2788},{"$f":"Buses!$I$225","v":3184},{"$f":"Buses!$I$226","v":2975},{"$f":"Buses!$I$227","v":2122},{"$f":"Buses!$I$228","v":1173},{"$f":"Buses!$I$229","v":892},{"$f":"Buses!$I$230","v":713},{"$f":"Buses!$I$231","v":645},{"$f":"Buses!$I$232","v":390},{"$f":"SUM(P364:AM364)","v":76830}]
[null,"from Buses worksheet. NYC only (excludes NJ).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,"Weekday subway riders to CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366},{"$f":"P290","v":7899.0003522283623},3362.5879836622503,2859.933078887997,3495.4737630853292,9139.2676268437626,37715.487845389282,110983.69932903571,223532.1768577997,359187.3729592897,236444.24509174217,125227.51417850077,89851.008639043794,83910.629122659942,81520.610973905714,90908.31723184482,108207.54206761009,112607.21689503071,126114.38231508523,94156.31530426543,63119.782285531743,44915.393445000576,30975.86777160575,24309.43117054797,19694.057686672495,{"$f":"SUM(P366:AM366)","v":2090137.3139752699}]
[null,{"$f":"CONCATENATE(\"Repeated from Row \",O35, \".\")","v":"Repeated from Row 35."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,"Bus share of weekday transit trips into CBD, baseline",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368},{"$f":"P364/(P364+P366)","v":2.3367951504592571E-2},1.4362812928951574E-2,1.0038307987100424E-2,1.0194044304196676E-2,1.2106449031375695E-2,3.0063402265914474E-2,5.1751228715508593E-2,5.9042379367963596E-2,4.512932736233527E-2,3.6915407513180724E-2,3.268228456697863E-2,3.0001076765835948E-2,2.7851593923710487E-2,2.7520765213243818E-2,2.6982965033814164E-2,2.5118125900063275E-2,2.7497767839217212E-2,2.3046047216637316E-2,2.2040269330574676E-2,1.8244660727087067E-2,1.9472839053175879E-2,2.2500014993873371E-2,2.5847112907195813E-2,1.9418386766474918E-2,3.5455080242560964E-2]
[null,"Multiple to that share, due to changes in bus speeds and transit fares due to pricing + other changes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369},{"$f":"'Sub v. Bus'!J78","v":1.201520847475132},{"$f":"'Sub v. Bus'!K78","v":1.201520847475132},{"$f":"'Sub v. Bus'!L78","v":1.201520847475132},{"$f":"'Sub v. Bus'!M78","v":1.201520847475132},{"$f":"'Sub v. Bus'!N78","v":1.201520847475132},{"$f":"'Sub v. Bus'!O78","v":1.201520847475132},{"$f":"'Sub v. Bus'!P78","v":1.201520847475132},{"$f":"'Sub v. Bus'!Q78","v":1.201520847475132},{"$f":"'Sub v. Bus'!R78","v":1.201520847475132},{"$f":"'Sub v. Bus'!S78","v":1.201520847475132},{"$f":"'Sub v. Bus'!T78","v":1.201520847475132},{"$f":"'Sub v. Bus'!U78","v":1.201520847475132},{"$f":"'Sub v. Bus'!V78","v":1.201520847475132},{"$f":"'Sub v. Bus'!W78","v":1.201520847475132},{"$f":"'Sub v. Bus'!X78","v":1.201520847475132},{"$f":"'Sub v. Bus'!Y78","v":1.201520847475132},{"$f":"'Sub v. Bus'!Z78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AA78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AB78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AC78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AD78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AE78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AF78","v":1.201520847475132},{"$f":"'Sub v. Bus'!AG78","v":1.201520847475132}]
[null,"Derived in Sub. vs. Bus worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,"Bus share of weekday transit trips into CBD, from pricing and other measures assumed in this spreadsheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":371},{"$f":"P368*P369","v":2.8077080895555852E-2},1.7257219162520678E-2,1.2061236319877287E-2,1.2248356751577432E-2,1.4546150900093016E-2,3.6121804568527364E-2,6.2180180184137269E-2,7.0940649695143868E-2,5.4223827658375738E-2,4.4354631720126755E-2,3.9268446250339588E-2,3.6046919180853704E-2,3.3464270734749862E-2,3.3066773142180844E-2,3.2420595014820246E-2,3.0179951918431088E-2,3.3039141317850691E-2,2.7690306182685975E-2,2.6481843084652245E-2,2.1921340218705912E-2,2.3397022081918729E-2,2.7034237083641909E-2,3.1055845005039336E-2,2.333159652425483E-2,{"$f":"AN373/AN359","v":3.9757711954031126E-2}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O368, \" and \",O369, \".\")","v":"Product of Rows 368 and 369."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"New transit trips (inbound + outbound, combined) that will be accommodated on buses",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373},{"$f":"P371*P359","v":59.641717995274362},22.908261805802479,11.159744543890087,10.140168608586071,15.990857298563119,63.92946245781652,881.48960050165283,1067.1191644446403,776.20246082846506,366.32771496738826,283.26707865156141,256.061428555183,236.1904348044857,247.5046266748416,264.10168046807604,267.71195110309776,303.68743418448048,257.81461619247466,236.77205237658239,179.25781195813047,98.088469076331336,96.698019089324447,99.348091013250155,63.961902640295513,{"$f":"SUM(P373:AM373)","v":6165.3747502401939}]
[null,{"$f":"CONCATENATE(\"Product of total new transit trips in Row \",O359, \" and percent of such trips allocated to bus in Row \",O371, \".\")","v":"Product of total new transit trips in Row 359 and percent of such trips allocated to bus in Row 371."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"New transit trips that will be accommodated on subways",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":375},{"$f":"P359-P373","v":2064.5719143668662},1304.551370598633,914.09735579983555,817.73975146968451,1083.3279527696636,1705.9007888668291,13294.886181801547,13975.30247999215,13538.583019066889,7892.7356739223924,6930.3383908826909,6847.4978873041828,6821.7979695034437,7237.4902233100274,7882.0066913045193,8602.8108325864414,8888.0597502498022,9052.8305782503157,8704.1483971447524,7998.0621041465538,4094.2599730843622,3480.1744774471231,3099.6661685288504,2677.4665535651179,{"$f":"SUM(P375:AM375)","v":148908.30648596265}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O359, \" and \",O373, \".\")","v":"Difference between Rows 359 and 373."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,"Of which these changes are among pay-per-riders",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure multiplies Row \",O375, \" by respective share of pay-per and unlimited rides taken from Row \",Transit!O66, \" of 'Transit' tab.\")","v":"Each figure multiplies Row 375 by respective share of pay-per and unlimited rides taken from Row 66 of 'Transit' tab."},null,null,null,null,{"$f":"ROW()","v":377},{"$f":"Transit!$H$66*P375","v":1024.3078766871747},{"$f":"Transit!$H$66*Q375","v":647.23453571585344},{"$f":"Transit!$H$66*R375","v":453.51635130221513},{"$f":"Transit!$H$66*S375","v":405.70990173886929},{"$f":"Transit!$H$66*T375","v":537.47769565956412},{"$f":"Transit!$H$66*U375","v":846.35831899273717},{"$f":"Transit!$H$66*V375","v":6596.0679504133414},{"$f":"Transit!$H$66*W375","v":6933.646781556502},{"$f":"Transit!$H$66*X375","v":6716.9746566402318},{"$f":"Transit!$H$66*Y375","v":3915.8681095823354},{"$f":"Transit!$H$66*Z375","v":3438.3884390220533},{"$f":"Transit!$H$66*AA375","v":3397.2883059950959},{"$f":"Transit!$H$66*AB375","v":3384.5376587300029},{"$f":"Transit!$H$66*AC375","v":3590.77743506761},{"$f":"Transit!$H$66*AD375","v":3910.5450780483638},{"$f":"Transit!$H$66*AE375","v":4268.1617608705883},{"$f":"Transit!$H$66*AF375","v":4409.6839384929035},{"$f":"Transit!$H$66*AG375","v":4491.4326321541521},{"$f":"Transit!$H$66*AH375","v":4318.4389465956519},{"$f":"Transit!$H$66*AI375","v":3968.124314053196},{"$f":"Transit!$H$66*AJ375","v":2031.3086264768949},{"$f":"Transit!$H$66*AK375","v":1726.6388759279205},{"$f":"Transit!$H$66*AL375","v":1537.8551114788972},{"$f":"Transit!$H$66*AM375","v":1328.3868008173793},{"$f":"SUM(P377:AM377)","v":73878.730102019545}]
[null,"And these changes are unlimited card riders",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378},{"$f":"Transit!$U$66*P375","v":1040.2552047728891},{"$f":"Transit!$U$66*Q375","v":657.31125358982717},{"$f":"Transit!$U$66*R375","v":460.57709369330513},{"$f":"Transit!$U$66*S375","v":412.02635117551523},{"$f":"Transit!$U$66*T375","v":545.84562228252264},{"$f":"Transit!$U$66*U375","v":859.53517147844047},{"$f":"Transit!$U$66*V375","v":6698.7613515625271},{"$f":"Transit!$U$66*W375","v":7041.5959075688443},{"$f":"Transit!$U$66*X375","v":6821.5504399870424},{"$f":"Transit!$U$66*Y375","v":3976.8337966625363},{"$f":"Transit!$U$66*Z375","v":3491.9203016301526},{"$f":"Transit!$U$66*AA375","v":3450.1802854970852},{"$f":"Transit!$U$66*AB375","v":3437.2311249140048},{"$f":"Transit!$U$66*AC375","v":3646.6818239169902},{"$f":"Transit!$U$66*AD375","v":3971.4278914806951},{"$f":"Transit!$U$66*AE375","v":4334.612266107004},{"$f":"Transit!$U$66*AF375","v":4478.3377857608648},{"$f":"Transit!$U$66*AG375","v":4561.3592151572038},{"$f":"Transit!$U$66*AH375","v":4385.6722113853548},{"$f":"Transit!$U$66*AI375","v":4029.9035717952825},{"$f":"Transit!$U$66*AJ375","v":2062.9338300382865},{"$f":"Transit!$U$66*AK375","v":1753.5207122065074},{"$f":"Transit!$U$66*AL375","v":1561.7977956749464},{"$f":"Transit!$U$66*AM375","v":1349.0682976793203},{"$f":"SUM(P378:AM378)","v":75028.939306017128}]
[null,"Subway trips in hr (reflecting tolled-off autos + direct subway price effect; but not tolled-off cab rides)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":379},{"$f":"P282+P375","v":45370.245217948097},20484.372999293839,11604.036389159433,8664.4028667871025,15379.33178066178,53371.724094407844,174903.73397439325,339076.27000109671,495500.87721811858,334000.22672019381,196491.01144612517,160493.22100824144,161604.12193864369,171682.01730532214,202147.18378827607,265259.80582952325,303280.48115634016,421442.00704120041,381549.28289524739,256643.36052480797,186727.29423182199,137038.16452653136,100771.15863816541,88102.231831426237,{"$f":"SUM(P379:AM379)","v":4531586.5634237332}]
[null,{"$f":"CONCATENATE(\"Sum of prior calculation of new transit trips in Row \",O282, \" and new trips calc'd in this section and shown in Row \",O375, \".\")","v":"Sum of prior calculation of new transit trips in Row 282 and new trips calc'd in this section and shown in Row 375."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,"Of which these trips are by pay-per-riders",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O130, \", \",229, \" and \",O377,\".\")","v":"Sum of Rows 130, 229 and 377."},null,null,null,{"$f":"ROW()","v":381},{"$f":"P130+P211+P377","v":22509.799353840659},10163.029181092646,5757.1769682945032,4298.7197692082491,7630.2358718990026,26479.618850691269,86775.990279277845,168227.84992032664,245835.68530988682,165709.44352389534,97486.209766743646,79626.420029089408,80177.577663905453,85177.581554631441,100292.43891364262,131604.86519696494,150468.28038885829,209092.43430812476,189300.22882433591,127329.93888742501,92642.080880381327,67989.528654576105,49996.1715151104,43710.66437098373,{"$f":"SUM(P381:AM381)","v":2248281.9699831861}]
[null,"And these trips are by unlimited card riders",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O131, \", \",229, \" and \",O378,\".\")","v":"Sum of Rows 131, 229 and 378."},null,null,null,{"$f":"ROW()","v":382},{"$f":"P131+P212+P378","v":22860.437031200632},10321.338236908241,5846.8555100606172,4365.6795990235541,7749.0912739352016,26892.097945320922,88127.686815289722,170848.36028990327,249665.13398579214,168290.74942862091,99004.772029151034,80866.771683340063,81426.515088878776,86504.404786365267,101854.71115285797,133654.90382694948,152812.16274148587,212349.53400213667,192249.01683174775,129313.38741908486,94085.195834871498,69048.620982642577,50774.973861679995,44391.556005374092,{"$f":"SUM(P382:AM382)","v":2283303.9563626209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,"8. Assignment of Subway's Share of Changes in Medallion Taxi Usage",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,"Net change in weekday subway trips due to changes in taxi usage:",null,null,null,null,null,null,null,null,null,null,null,{"$f":"Taxis!I661","v":-11758.991965137304},{"$f":"ROW()","v":386}]
[null,{"$f":"CONCATENATE(\"Derived in Taxi worksheet, Row \",O624, \". Captures fare, travel-time and occupancy changes.\")","v":"Derived in Taxi worksheet, Row . Captures fare, travel-time and occupancy changes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,"Assign above 24-hr change to 24 hourly bins",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"'Motor Vs'!$AR$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-462.45762643108964},{"$f":"'Motor Vs'!$AS$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-776.68998696483811},{"$f":"'Motor Vs'!$AS$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-776.68998696483811},{"$f":"'Motor Vs'!$AS$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-776.68998696483811},{"$f":"'Motor Vs'!$AT$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-686.40200358673883},{"$f":"'Motor Vs'!$AU$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-573.24284216879732},{"$f":"'Motor Vs'!$AU$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-573.24284216879732},{"$f":"'Motor Vs'!$AU$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-573.24284216879732},{"$f":"'Motor Vs'!$AU$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-573.24284216879732},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AV$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-608.67316845119149},{"$f":"'Motor Vs'!$AW$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-426.37365209153512},{"$f":"'Motor Vs'!$AW$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-426.37365209153512},{"$f":"'Motor Vs'!$AW$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-426.37365209153512},{"$f":"'Motor Vs'!$AQ$142/'Motor Vs'!$AX$139*Subways!$N$386","v":-175.98850642800275},{"$f":"SUM(P388:AM388)","v":-11758.9919651373}]
[null,{"$f":"CONCATENATE(\"Row \",O386, \" prorated by respective hour's share of total taxi entries, using Rows \",O78, \" and \",O81, \" of Motor Vs worksheet.\")","v":"Row 386 prorated by respective hour's share of total taxi entries, using Rows 78 and 81 of Motor Vs worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,"Of which these changes are among pay-per-riders",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure multiplies Row \",O388, \" by respective share of pay-per and unlimited rides taken from Row \",Transit!O66, \" of 'Transit' tab.\")","v":"Each figure multiplies Row 388 by respective share of pay-per and unlimited rides taken from Row 66 of 'Transit' tab."},null,null,null,null,{"$f":"ROW()","v":390},{"$f":"Transit!$H$66*P388","v":-87.314184643404047},{"$f":"Transit!$H$66*Q388","v":-87.314184643404047},{"$f":"Transit!$H$66*R388","v":-87.314184643404047},{"$f":"Transit!$H$66*S388","v":-87.314184643404047},{"$f":"Transit!$H$66*T388","v":-87.314184643404047},{"$f":"Transit!$H$66*U388","v":-229.44174823413087},{"$f":"Transit!$H$66*V388","v":-385.34364720161221},{"$f":"Transit!$H$66*W388","v":-385.34364720161221},{"$f":"Transit!$H$66*X388","v":-385.34364720161221},{"$f":"Transit!$H$66*Y388","v":-340.54855340961461},{"$f":"Transit!$H$66*Z388","v":-284.40625119523111},{"$f":"Transit!$H$66*AA388","v":-284.40625119523111},{"$f":"Transit!$H$66*AB388","v":-284.40625119523111},{"$f":"Transit!$H$66*AC388","v":-284.40625119523111},{"$f":"Transit!$H$66*AD388","v":-301.98450169457607},{"$f":"Transit!$H$66*AE388","v":-301.98450169457607},{"$f":"Transit!$H$66*AF388","v":-301.98450169457607},{"$f":"Transit!$H$66*AG388","v":-301.98450169457607},{"$f":"Transit!$H$66*AH388","v":-301.98450169457607},{"$f":"Transit!$H$66*AI388","v":-301.98450169457607},{"$f":"Transit!$H$66*AJ388","v":-211.53919958422429},{"$f":"Transit!$H$66*AK388","v":-211.53919958422429},{"$f":"Transit!$H$66*AL388","v":-211.53919958422429},{"$f":"Transit!$H$66*AM388","v":-87.314184643404047},{"$f":"SUM(P390:AM390)","v":-5834.0559648100616}]
[null,"And these changes are unlimited card riders",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":391},{"$f":"Transit!$U$66*P388","v":-88.67356884881346},{"$f":"Transit!$U$66*Q388","v":-88.67356884881346},{"$f":"Transit!$U$66*R388","v":-88.67356884881346},{"$f":"Transit!$U$66*S388","v":-88.67356884881346},{"$f":"Transit!$U$66*T388","v":-88.67356884881346},{"$f":"Transit!$U$66*U388","v":-233.01389965356881},{"$f":"Transit!$U$66*V388","v":-391.34301683210333},{"$f":"Transit!$U$66*W388","v":-391.34301683210333},{"$f":"Transit!$U$66*X388","v":-391.34301683210333},{"$f":"Transit!$U$66*Y388","v":-345.85051352721422},{"$f":"Transit!$U$66*Z388","v":-288.8341384551702},{"$f":"Transit!$U$66*AA388","v":-288.8341384551702},{"$f":"Transit!$U$66*AB388","v":-288.8341384551702},{"$f":"Transit!$U$66*AC388","v":-288.8341384551702},{"$f":"Transit!$U$66*AD388","v":-306.68606265581735},{"$f":"Transit!$U$66*AE388","v":-306.68606265581735},{"$f":"Transit!$U$66*AF388","v":-306.68606265581735},{"$f":"Transit!$U$66*AG388","v":-306.68606265581735},{"$f":"Transit!$U$66*AH388","v":-306.68606265581735},{"$f":"Transit!$U$66*AI388","v":-306.68606265581735},{"$f":"Transit!$U$66*AJ388","v":-214.83262834284088},{"$f":"Transit!$U$66*AK388","v":-214.83262834284088},{"$f":"Transit!$U$66*AL388","v":-214.83262834284088},{"$f":"Transit!$U$66*AM388","v":-88.67356884881346},{"$f":"SUM(P391:AM391)","v":-5924.8856915540809}]
[null,"Subway trips in hr (adds tolled-off cab rides to prior total in previous block)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392},{"$f":"P379+P388","v":45194.256711520095},20308.384492865836,11428.047882731431,8488.4143603591001,15203.343274233777,52909.266467976755,174127.04398742842,338299.58001413185,494724.18723115372,333313.82471660705,195917.76860395636,159919.97816607263,161030.87909647488,171108.77446315333,201538.51061982487,264651.13266107207,302671.80798788898,420833.33387274924,380940.60972679622,256034.68735635676,186300.92057973045,136611.79087443982,100344.78498607386,87926.243324998228,{"$f":"SUM(P392:AM392)","v":4519827.5714585967}]
[null,"Of which these trips are by pay-per-riders",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O381,\" and \",O390,\".\")","v":"Sum of Rows 381 and 390."},null,null,null,{"$f":"ROW()","v":393},{"$f":"P381+P390","v":22422.485169197254},{"$f":"Q381+Q390","v":10075.714996449242},5669.8627836510996,4211.4055845648454,7542.921687255599,26250.177102457139,86390.646632076227,167842.50627312504,245450.34166268521,165368.89497048574,97201.80351554841,79342.013777894172,79893.171412710217,84893.175303436205,99990.454411948042,131302.88069527037,150166.29588716372,208790.4498064302,188998.24432264135,127027.95438573044,92430.541680797105,67777.989454991883,49784.632315526178,43623.350186340329,{"$f":"SUM(P393:AM393)","v":2242447.9140183763},{"$f":"AN393/$AN$392","v":0.49613572167637232}]
[null,"And these trips are by unlimited card riders",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O382,\" and \",O391,\".\")","v":"Sum of Rows 382 and 391."},null,null,null,{"$f":"ROW()","v":394},{"$f":"P382+P391","v":22771.763462351817},{"$f":"Q382+Q391","v":10232.664668059428},5758.1819412118039,4277.0060301747408,7660.4177050863882,26659.084045667354,87736.343798457616,170457.01727307116,249273.79096896003,167944.89891509368,98715.937890695859,80577.937544884888,81137.680950423601,86215.570647910092,101548.02509020215,133348.21776429366,152505.47667883005,212042.84793948085,191942.33076909193,129006.70135642904,93870.363206528651,68833.78835429973,50560.141233337155,44302.88243652528,{"$f":"SUM(P394:AM394)","v":2277379.0706710666},{"$f":"AN394/$AN$392","v":0.50386414850249073}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,"Grand total change in subway trips in period ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396},{"$f":"P392-P110","v":4480.1723652361252},2276.3619894124276,1377.838608538159,1111.3277215170319,1747.2136970011634,4222.0353563080716,21835.1260664273,31941.04495853011,40547.555495127861,26006.793336862291,17493.573277277639,15300.76959610841,15341.843708111817,16415.283108230797,18792.638640604273,23213.078496227798,25735.917789331928,32332.128325072874,30204.001986469782,22269.342542549421,14697.232323005825,11119.468077523488,8571.7472475484392,7660.3437321669335,394692.83844519127]
[null,{"$f":"CONCATENATE(\"Row \",O392, \" less Row \",O110, \".\")","v":"Row 392 less Row 110."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,"% net change in trips in period (with toll + subway fare + taxi fare, vs. baseline)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398},{"$f":"P396/P110","v":0.11003986549546549},0.12623997052890043,0.13709551422736496,0.15064588175847554,0.12984518965671965,8.6717508059237169E-2,0.14337678824002928,0.10426033977716029,8.9277062406624863E-2,8.4628045183662695E-2,9.8044848935697732E-2,0.10580039641626283,0.10530541071409448,0.10611489187071375,0.10283481885019607,9.6145069494218305E-2,9.2930958753232859E-2,8.3222723284716082E-2,8.6115909545523714E-2,9.5263660917262197E-2,8.5646366184264605E-2,8.8606759598498105E-2,9.3401585681086197E-2,9.5437088116197902E-2,9.5679987198107511E-2]
[null,"% Subway trips occurring in period (with toll and fare pricing)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399},{"$f":"P392/$AN$392","v":9.9991108061087876E-3},4.4931768240689994E-3,2.5284256317422917E-3,1.8780394221144586E-3,3.3636998389581256E-3,1.1706036487339354E-2,3.8525151952032488E-2,7.4847895116706614E-2,0.10945642934593208,7.3744809828894226E-2,4.3346292642029174E-2,3.5381875887461063E-2,3.5627659805727609E-2,3.7857367733153305E-2,4.4589867076452704E-2,5.8553369232991849E-2,6.6965343965591492E-2,9.3108271769080306E-2,8.4282111143426347E-2,5.6647003300112977E-2,4.1218590230336853E-2,3.0225000559115076E-2,2.2201020591962876E-2,1.9453450808660712E-2,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Change in Subway Trips in All Hours Except 8-9 a.m. and 5-6 p.m.",{"$f":"(AN392-AG392-X392)/(AN110-AG110-X110)-1","v":9.8040329194772236E-2}]
[null,"9. Subway Farebox Revenue ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401},"Figures below denote projected instant changes in subway trips from implementing congestion charges in Move NY plan w/ variable tolls. They were calc'd on 30-Dec-2017 by inputting zero annual subway investments, in place of $1B/y investment assumed in that plan. They're \"hard-wired\" so as not to revert back to values in Row 396 when non-zero transit investments are inputted."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402},1420.6028748791359,907.50166803934917,669.95163994539689,659.43166665812532,991.49470400318023,-4124.7449179195974,5128.072458609211,5422.4610294902232,5255.0627954988158,3082.894517277542,2960.4025371009775,2926.2507658746035,2906.520624153025,3088.8816402093216,3787.6511278274411,4116.1117533607467,4249.9127677004435,4322.9667462672223,4161.9633155120537,3805.8940250592714,2179.846657150687,1880.2489717018034,1678.532587636495,1958.7535623044241,63436.665518339723]
[null,"A. Weekdays",null,null,null,null,null,null,null,null,null,null,null,"Totals",{"$f":"ROW()","v":403}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,"Baseline Revenue, by period and total (CBD weekday trips only), non-normalized",null,null,null,null,null,null,null,null,null,null,"daily",{"$f":"AN405","v":8760165.4792529829},{"$f":"ROW()","v":405},{"$f":"P110*P132","v":86460.719296111274},38292.931329414627,21342.695946016254,15666.033691906732,28575.532542840967,103392.55051514113,323408.20081923052,650585.16551970167,964492.72771047649,652599.39906447765,378902.89111174655,307114.38063164236,309386.27247757738,328508.19925646001,388080.43441017723,512719.570235188,588103.0274886078,825023.92521875026,744826.75652938895,496425.75004759978,364418.81375372858,266496.38987033925,194889.87612676818,170453.23565969005,{"$f":"SUM(P405:AM405)","v":8760165.4792529829}]
[null,{"$f":"CONCATENATE(\"Total is sum of 24 respective column figures, each of which is product of CBD weekday trips in Row \",O110,\" and baseline nominal fare for each in Row \",O132,\".\")","v":"Total is sum of 24 respective column figures, each of which is product of CBD weekday trips in Row 110 and baseline nominal fare for each in Row 132."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407}]
[null,"Baseline Revenue (CBD weekday trips only), normalized to reflect actual full-equiv fares",null,null,null,null,null,null,null,null,null,null,"daily",{"$f":"N405*$M$18","v":8372528.1567960382},{"$f":"ROW()","v":408}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O405, \" figure and normalizing-fare factor in Cell L\",$O$18, \".\")","v":"Product of Row 405 figure and normalizing-fare factor in Cell L18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,"Baseline Revenue, by period and total (all weekday subway trips, not just w/ CBD component)",null,null,null,null,null,null,null,null,null,null,"daily, adj.",{"$f":"N408*$N$45","v":10907315.14393549},{"$f":"ROW()","v":410}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O408, \" figure and true-up factor from CBD to all trips in Row \",$O$45, \".\")","v":"Product of Row 408 figure and true-up factor from CBD to all trips in Row 45."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,"Baseline Annual Weekday Revenue (all weekday subway trips)",null,null,null,null,null,null,null,null,null,null,"annual adj., 000",{"$f":"N410*weekday_per_yr/1000","v":2726828.7859838726},{"$f":"ROW()","v":412}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O410, \" figure and figure from 'Constants' worksheet for number of weekdays in year.\")","v":"Product of Row 410 figure and figure from 'Constants' worksheet for number of weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,"New Daily Revenue, by period and total (CBD weekday trips only), non-normalized, from Riders who pay per-ride",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414},{"$f":"P393*P145","v":59109.140873323893},26561.143986962539,14946.635731156448,11101.916852406526,19884.308864252587,69199.529159701517,227739.11381276898,442458.82082057721,647045.08502366662,435937.99862579157,256238.99642643382,209157.82680562936,210610.76362480514,223791.54765092614,263590.31174398155,346134.71314731322,395861.59478045831,550403.93682886218,498228.62025234848,334865.34583379165,243661.21185859034,178673.26911244451,131239.99515038691,114997.9019753342,{"$f":"SUM(P414:AM414)","v":5911439.7289419137}]
[null,{"$f":"CONCATENATE(\"Product of total new rides using pay-per-fare cards in Row \",O393, \" and effective fare for these rides in Row \",O145, \".\")","v":"Product of total new rides using pay-per-fare cards in Row 393 and effective fare for these rides in Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,"New Daily Revenue, by period and total (CBD weekday trips only), non-normalized, from Riders who use passes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416},{"$f":"P394*P162","v":36865.69126393606},16565.878048212686,9322.0429782368137,6924.1358537337674,12401.61283667831,43158.957075579703,142038.22942601575,275956.483693049,403554.63173705072,271889.56195654068,159813.3273747096,130449.33358479808,131355.514066153,139576.21748990641,164398.25346100758,215880.26042963532,246894.35355308664,343280.66773513326,310739.51379797253,208851.68735604518,151968.72365755841,111436.48115755781,81852.885923868991,71722.876829791086,{"$f":"SUM(P416:AM416)","v":3686897.3212862564}]
[null,{"$f":"CONCATENATE(\"Product of total new rides using unlimiteds in Row \",O394, \" and effective fare for these rides in Row \",O162, \".\")","v":"Product of total new rides using unlimiteds in Row 394 and effective fare for these rides in Row 162."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,"New Revenue, by period and total (CBD weekday trips only), non-normalized",null,null,null,null,null,null,null,null,null,null,"daily",{"$f":"AN418","v":9598337.0502281692},{"$f":"ROW()","v":418},{"$f":"P414+P416","v":95974.832137259946},43127.022035175221,24268.678709393262,18026.052706140294,32285.9217009309,112358.48623528122,369777.3432387847,718415.30451362627,1050599.7167607173,707827.56058233231,416052.32380114344,339607.16039042745,341966.27769095812,363367.76514083252,427988.56520498917,562014.97357694851,642755.94833354489,893684.6045639955,808968.13405032107,543717.03318983689,395629.93551614875,290109.75027000229,213092.88107425591,186720.77880512527,{"$f":"SUM(P418:AM418)","v":9598337.0502281692}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O414, \" and \",O416, \".\")","v":"Sum of Rows 414 and 416."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,"New Revenue (CBD weekday trips only), normalized to reflect actual full-equiv fares",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N418*$M$18","v":9173610.6357555725},{"$f":"ROW()","v":420}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O418, \" figure and normalizing-fare factor in Cell L\",$O$18, \".\")","v":"Product of Row 418 figure and normalizing-fare factor in Cell L18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,"New Revenue, by period and total (all wkday sub. trips, not just w/ CBD component)",null,null,null,null,null,null,null,null,null,null,"daily, adj.",{"$f":"N420*$N$45","v":11950925.734507741},{"$f":"ROW()","v":422}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O420, \" figure and true-up factor from CBD to all trips in Row \",$O$45, \".\")","v":"Product of Row 420 figure and true-up factor from CBD to all trips in Row 45."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,"New Annual Revenue (all weekday subway trips)",null,null,null,null,null,null,null,null,null,null,"annual adj., 000",{"$f":"N422*weekday_per_yr/1000","v":2987731.4336269354},{"$f":"ROW()","v":424}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O420, \" figure and figure from 'Constants' worksheet for number of weekdays in year.\")","v":"Product of Row 420 figure and figure from 'Constants' worksheet for number of weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,"Percent change in Annual Revenue (weekdays)",null,null,null,null,null,null,null,null,null,{"$f":"(N424-N412)/N412","v":9.5679878760310921E-2},null,null,{"$f":"ROW()","v":426},{"$f":"(P418-P405)/P405","v":0.1100397142032172},0.1262397663990612,0.13709527469153493,0.15064559802732816,0.12984496973161389,8.6717424760955925E-2,0.14337652014418853,0.10426019926190663,8.9276970760207353E-2,8.462796870028691E-2,9.8044732729264755E-2,0.1058002549146581,0.10530527082691413,0.10611475136168008,0.10283468903931263,9.6144961502344001E-2,9.2930861244368917E-2,8.3222652394038463E-2,8.6115834264341801E-2,9.5263557818470512E-2,8.5646296471159691E-2,8.8606680229896734E-2,9.340149067387879E-2,9.5436986470080143E-2,9.5679878760310907E-2]
[null,"Revenue Change (all trips)",null,null,null,null,null,null,null,null,null,null,"annual adj., 000",{"$f":"N424-N412","v":260902.64764306275},{"$f":"ROW()","v":427}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O424, \" and \",O412, \".\")","v":"Difference between Rows 424 and 412."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,"B. Saturdays, Sundays & Holidays",null,null,null,null,null,null,null,null,null,null,null,"Sat / Sun / Holidays  (sum of two columns at right)",{"$f":"ROW()","v":430}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,"Weekend/holiday subway use can't be modeled like weekdays, since we don't have hourly usage data. This necessitates a simpler approach, with a single fare for each day. (Arguably this is reasonable in any event, given the dynamics of weekend and holiday subway use.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":433},null,null,null,null,"Sundays + Holidays"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434},null,null,"Saturdays"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":435}]
[null,"1. Baseline (Saturdays, Sundays & Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"Baseline rides, 2016 (per day, projected, unadjusted)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":437},null,null,{"$f":"1000*$R$6*$N$11/$R$4","v":3091508.7427552659},null,{"$f":"1000*$R$7*$N$11/$R$4","v":2473346.6504646861}]
[null,{"$f":"CONCATENATE(\"Actual Sat/Sun rides in Cells R\",O6,\" and R\",O7, \" prorated by ratio of 2016 annual rides in Cell L\",O13, \" to 2016 rides in Cell R\",O4, \".\")","v":"Actual Sat/Sun rides in Cells R6 and R7 prorated by ratio of 2016 annual rides in Cell L13 to 2016 rides in Cell R4."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,"Baseline rides, 2016 (per day, projected, normalized)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":439},null,null,{"$f":"R437*$M$18","v":2954709.4808883453},null,{"$f":"T437*$M$18","v":2363901.0611816235}]
[null,{"$f":"CONCATENATE(\"Row \",O437, \" times normalizing factor in Cell L\",O18, \" to convert turnstile to paying rides.\")","v":"Row 437 times normalizing factor in Cell L18 to convert turnstile to paying rides."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,"Baseline rides, 2016 (entire year, projected, normalized), thousands",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R441+T441","v":290751.15455472813},{"$f":"ROW()","v":441},null,"annual, 000",{"$f":"R439*Constants!$J$27/1000","v":153644.89300619398},null,{"$f":"T439*Constants!$J$29/1000","v":137106.26154853415}]
[null,{"$f":"CONCATENATE(\"Row \",O439, \" times # of Saturdays or Sundays-Holidays from 'Constants' worksheet. Latter uses 'special' Sundays # for transit.\")","v":"Row 439 times # of Saturdays or Sundays-Holidays from 'Constants' worksheet. Latter uses 'special' Sundays # for transit."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,"Baseline revenue, 2016 (entire year, projected)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R443+T443","v":617441.22120410763},{"$f":"ROW()","v":443},null,"annual, 000",{"$f":"R441*J33","v":326281.38833980827},null,{"$f":"T441*L33","v":291159.83286429936}]
[null,{"$f":"CONCATENATE(\"Baseline normalized rides in Row \",O441, \" times normalized fare in Row \",O34, \".\")","v":"Baseline normalized rides in Row 441 times normalized fare in Row 34."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,"Baseline rides, 2016, per day, using Pay-Per-Ride (unadj.)",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure multiplies Rows \",O437, \" and \",O439, \" by shares of pay-per and unlimited rides taken from Row \",Transit!O66, \" of 'Transit' tab.\")","v":"Each figure multiplies Rows 437 and 439 by shares of pay-per and unlimited rides taken from Row 66 of 'Transit' tab."},null,null,null,null,{"$f":"ROW()","v":445},null,null,{"$f":"Transit!$H$66*R437","v":1533807.9211556986},null,{"$f":"Transit!$H$66*T437","v":1227115.6253841354}]
[null,"Baseline rides, 2016, per day, using Unlimited Cards (unadj.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":446},null,null,{"$f":"(1-Transit!$H$66)*R437","v":1557700.8215995673},null,{"$f":"(1-Transit!$H$66)*T437","v":1246231.0250805507}]
[null,"Assumed work share of weekend/holiday subway trips (Komanoff assumption)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":447},null,null,0.2,null,{"$f":"R447","v":0.2}]
[null,"Weighted average price-elasticity for weekend/holiday subway trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448},null,null,{"$f":"R447*Elasticities!$G$64+(1-R447)*Elasticities!$H$64","v":-0.20520000000000002},null,{"$f":"T447*Elasticities!$G$64+(1-T447)*Elasticities!$H$64","v":-0.20520000000000002}]
[null,"Weighted average of applicable transit price-elasticities, from Elasticities worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":450},null,null,null,null,"Sundays + Holidays"]
[null,"2. With Proposed Fares (Saturdays, Sundays & Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":451},null,null,"Saturdays"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"Proposed Nominal Fare ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":453},null,null,{"$f":"'Policy Levers'!K228","v":2.75},null,{"$f":"'Policy Levers'!K231","v":2.75}]
[null,{"$f":"CONCATENATE(\"From 'Policy Levers' Rows \",'Policy Levers'!O228, \" and \",'Policy Levers'!O231, \".\")","v":"From 'Policy Levers' Rows 228 and 231."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Proposed Fare to be Experienced by Subway Riders who pay on per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":455},null,null,{"$f":"R453*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363},null,{"$f":"T453*(Transit!$H$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$H$36)","v":2.6361547539130363}]
[null,{"$f":"CONCATENATE(\"See note in Row \",O138, \", except that the nominal fare is from Row \",O453, \" rather than Row \",O132, \".\")","v":"See note in Row 138, except that the nominal fare is from Row 453 rather than Row 132."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":456}]
[null,"Proposed Fare Change, %, to be felt by Subway Riders who pay on per-ride basis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":457},null,null,{"$f":"R455/R137-1","v":0},null,{"$f":"T455/T137-1","v":0}]
[null,{"$f":"CONCATENATE(\"Ratio of Proposed fare in \",O455, \" to baseline fare in Row \",O137, \" less one.\")","v":"Ratio of Proposed fare in 455 to baseline fare in Row 137 less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":458}]
[null,"% Change in ridership by riders who pay on per-ride basis, due to subway fare change ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":459},null,null,{"$f":"IF(R455=0,R$448*(R455-$P$137)/$P$137,(1+R457)^R$448-1)","v":0},null,{"$f":"IF(T455=0,T448*(T455-$P$137)/$P$137,(1+T457)^T448-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Calculated as one plus percentage fare change in Row \",O457,\" exponentiated to elasticity shown in Row \",O448,\".\")","v":"Calculated as one plus percentage fare change in Row 457 exponentiated to elasticity shown in Row 448."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":460}]
[null,"New rides, per day, using Pay-Per-Ride (unadjusted) (total, not increase, but price changes only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":461},null,null,{"$f":"R445*(1+R459)","v":1533807.9211556986},null,{"$f":"T445*(1+T459)","v":1227115.6253841354}]
[null,{"$f":"CONCATENATE(\"Calculated as baseline pay-per rides in Row \",O445, \", increased by percent in Row \",O459,\".\")","v":"Calculated as baseline pay-per rides in Row 445, increased by percent in Row 459."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":462}]
[null,"Proposed Fare to be Experienced by Subway Riders who pay with Unlimited farecards",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":463},null,null,{"$f":"P162","v":1.618921227812923},null,{"$f":"R162","v":1.618921227812923}]
[null,{"$f":"CONCATENATE(\"From Row \",O162, \"; reflects change (if any) from Unlimited Fares, taken from 'Policy Levers' Row \",'Policy Levers'!O211, \".\")","v":"From Row 162; reflects change (if any) from Unlimited Fares, taken from 'Policy Levers' Row 211."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"Proposed Fare Change, %, to be felt by Subway Riders who pay with Unlimited farecards",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":465},null,null,{"$f":"R463/P160-1","v":0},null,{"$f":"T463/R160-1","v":0}]
[null,{"$f":"CONCATENATE(\"Ratio of Proposed fare in \",O463, \" to baseline fare in Row \",O160, \" less one.\")","v":"Ratio of Proposed fare in 463 to baseline fare in Row 160 less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,"% Change in ridership by riders who pay with Unlimiteds, due to subway fare change ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467},null,null,{"$f":"IF(R463=0,R$448*(R463-$P$162)/$P$162,(1+R465)^R$448-1)","v":0},null,{"$f":"IF(T463=0,T$448*(T463-$P$162)/$P$162,(1+T465)^T$448-1)","v":0}]
[null,{"$f":"CONCATENATE(\"Calculated as one plus percentage fare change in Row \",O465,\" exponentiated to elasticity shown in Row \",O448,\".\")","v":"Calculated as one plus percentage fare change in Row 465 exponentiated to elasticity shown in Row 448."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":468}]
[null,"New rides, per day, using Unlimiteds (unadjusted) (total, not increase, but price changes only)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":469},null,null,{"$f":"R446*(1+R467)","v":1557700.8215995673},null,{"$f":"T446*(1+T467)","v":1246231.0250805507}]
[null,{"$f":"CONCATENATE(\"Calculated as baseline pay-per rides in Row \",O446, \", increased by percent in Row \",O467,\".\")","v":"Calculated as baseline pay-per rides in Row 446, increased by percent in Row 467."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471},null,null,null,null,"Sundays + Holidays"]
[null,"3. With Proposed Service Changes (Saturdays, Sundays & Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":472},null,null,"Saturdays"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473}]
[null,"Weighted average time-elasticity for weekend/holiday subway trips",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",O449, \" note applies here.\")","v":"Row 449 note applies here."},null,null,null,{"$f":"ROW()","v":474},null,null,{"$f":"R447*Elasticities!$G$65+(1-R447)*Elasticities!$H$65","v":-0.54},null,{"$f":"T447*Elasticities!$G$65+(1-T447)*Elasticities!$H$65","v":-0.54}]
[null,"% Change in ridership due to subway service improvements",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":475},null,null,{"$f":"(1+R$189)^R474-1","v":6.488813289000972E-2},null,{"$f":"(1+T$189)^T474-1","v":6.488813289000972E-2}]
[null,{"$f":"CONCATENATE(\"Calculated as one plus total % change in trip duration in Row \",O189, \", exponentiated to elasticity in Row \",O474,\"; less one.\")","v":"Calculated as one plus total % change in trip duration in Row 189, exponentiated to elasticity in Row 474; less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,"Increase in ridership due to service imprvmnts (per day, unadj.)",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Product of baseline in Row \",O437, \" and % in Row \",O475, \".\")","v":"Product of baseline in Row 437 and % in Row 475."},null,null,null,null,{"$f":"ROW()","v":477},null,null,{"$f":"R475*R437","v":200602.23013053057},null,{"$f":"T475*T437","v":160490.84613841298}]
[null,"Of which these changes are among pay-per-riders",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each figure multiplies Row \",O477, \" by respective share of pay-per and unlimited rides taken from Row \",Transit!O66, \" of 'Transit' tab.\")","v":"Each figure multiplies Row 477 by respective share of pay-per and unlimited rides taken from Row 66 of 'Transit' tab."},null,null,null,null,{"$f":"ROW()","v":478},null,null,{"$f":"Transit!$H$66*R477","v":99525.932215700523},null,{"$f":"Transit!$H$66*T477","v":79625.241771333167}]
[null,"And these changes are unlimited card riders",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479},null,null,{"$f":"Transit!$U$66*R477","v":101075.43967356913},null,{"$f":"Transit!$U$66*T477","v":80864.917735300754}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":480}]
[null,"4. Total (Unadjusted, per day, Saturdays, Sundays & Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":481}]
[null,"Projected rides per day using Pay-Per-Ride (unadjusted) (total, not increase)",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O461, \" and \",O478, \".\")","v":"Sum of Rows 461 and 478."},null,null,{"$f":"ROW()","v":482},null,null,{"$f":"R461+R478","v":1633333.8533713992},null,{"$f":"T461+T478","v":1306740.8671554686}]
[null,"Projected rides per day using Unlimited Cards (unadjusted) (total, not increase)",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O469, \" and \",O479, \".\")","v":"Sum of Rows 469 and 479."},null,null,{"$f":"ROW()","v":483},null,null,{"$f":"R469+R479","v":1658776.2612731364},null,{"$f":"T469+T479","v":1327095.9428158514}]
[null,"Projected rides per day (unadjusted)",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",O482, \" and \",O483, \".\")","v":"Sum of Rows 482 and 483."},null,null,{"$f":"ROW()","v":484},null,null,{"$f":"R482+R483","v":3292110.1146445358},null,{"$f":"T482+T483","v":2633836.80997132}]
[null,"Projected rides per day (normalized)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":485},null,null,{"$f":"R484*$M$18","v":3146434.2420715149},null,{"$f":"T484*$M$18","v":2517289.531130089}]
[null,{"$f":"CONCATENATE(\"Projected rides in Row \",O484, \" times normalizing factor in Row \",O18, \".\")","v":"Projected rides in Row 484 times normalizing factor in Row 18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":486}]
[null,"Projected rides per year (normalized), thousands",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R487+T487","v":309617.3733932639},{"$f":"ROW()","v":487},null,"annual, 000",{"$f":"R485*Constants!$J$27/1000","v":163614.58058771878},null,{"$f":"T485*Constants!$J$29/1000","v":146002.79280554515}]
[null,{"$f":"CONCATENATE(\"Row \",O485, \" times # of Saturdays or Sundays-Holidays from 'Constants' worksheet. Latter uses 'special' Sundays # for transit.\")","v":"Row 485 times # of Saturdays or Sundays-Holidays from 'Constants' worksheet. Latter uses 'special' Sundays # for transit."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":488}]
[null,"Projected rides per year, by Riders who pay on per-ride basis, thousands",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":489},null,null,{"$f":"R$487*R482/R$484","v":81175.059178705167},null,{"$f":"T$487*T482/T$484","v":72437.219859462668}]
[null,{"$f":"CONCATENATE(\"Row \",O$487, \" times ratio of pay-per-rides in Row \",O482, \" to total in Row \",O$484, \".\")","v":"Row 487 times ratio of pay-per-rides in Row 482 to total in Row 484."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":490}]
[null,"Projected rides per year by Riders who pay with Unlimited Cards, thousands",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":491},null,null,{"$f":"R$487*R483/R$484","v":82439.5214090136},null,{"$f":"T$487*T483/T$484","v":73565.57294608248}]
[null,{"$f":"CONCATENATE(\"Row \",O$487, \" times ratio of unlimited fare rides in Row \",O483, \" to total in Row \",O$484, \".\")","v":"Row 487 times ratio of unlimited fare rides in Row 483 to total in Row 484."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":492}]
[null,"Projected Revenue from Riders who pay on per-ride basis",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R493+T493","v":404945.73964588199},{"$f":"ROW()","v":493},null,"annual, 000",{"$f":"R489*R455","v":213990.01815311567},null,{"$f":"T489*T455","v":190955.72149276632}]
[null,{"$f":"CONCATENATE(\"Pay-per ride riders from Row \",O489, \" times applicable fare in Row \",O455, \".\")","v":"Pay-per ride riders from Row 489 times applicable fare in Row 455."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":494}]
[null,"Projected Revenue from Riders who pay with Unlimited Cards, thousands",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R495+T495","v":252559.95889842306},{"$f":"ROW()","v":495},null,"annual, 000",{"$f":"R491*R463","v":133463.09121979005},null,{"$f":"T491*T463","v":119096.867678633}]
[null,{"$f":"CONCATENATE(\"Non-pay-per ride riders from Row \",O491, \" times applicable fare in Row \",O463, \".\")","v":"Non-pay-per ride riders from Row 491 times applicable fare in Row 463."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":496}]
[null,"Projected Revenue, all subway riders, thousands",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R497+T497","v":657505.69854430505},{"$f":"ROW()","v":497},null,"annual, 000",{"$f":"R493+R495","v":347453.10937290569},null,{"$f":"T493+T495","v":310052.5891713993}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O493, \" and \",O495, \".\")","v":"Sum of Rows 493 and 495."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":498}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":499}]
[null,"C. All days, combined",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":500}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":501}]
[null,"Baseline annual rides, weekdays (thousands)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"J83/N41*weekday_per_yr/1000","v":1343505.3218557811},{"$f":"ROW()","v":502}]
[null,{"$f":"CONCATENATE(\"24-hr 2012 rides in/out of CBD from Rows \",O83, \", divided by CBD rides as % of all rides from Row \",O41, \", multiplied by weekdays in year.\")","v":"24-hr 2012 rides in/out of CBD from Rows 83, divided by CBD rides as % of all rides from Row 41, multiplied by weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":503}]
[null,"Baseline annual rides, weekends (thousands)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N441/M18","v":304212.5603502256},{"$f":"ROW()","v":504}]
[null,{"$f":"CONCATENATE(\"Normalized (fare-paying) rides from Row \",O481, \" divided by fare-to-turnstile adjustment factor in Row \",O18, \".\")","v":"Normalized (fare-paying) rides from Row 481 divided by fare-to-turnstile adjustment factor in Row 18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":505}]
[null,"Baseline annual rides, all days (thousands)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N502+N504","v":1647717.8822060067},{"$f":"ROW()","v":506}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O502, \" and \",O504, \".\")","v":"Sum of Rows 502 and 504."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":507}]
[null,"Projected annual rides, weekdays (thousands)",null,null,null,null,null,null,null,null,null,"Increase from baseline:",{"$f":"N508/N502-1","v":9.8530558809994284E-2},{"$f":"AN379/N41*weekday_per_yr/1000","v":1475881.6519824325},{"$f":"ROW()","v":508}]
[null,{"$f":"CONCATENATE(\"Projected 24-hr rides in/out of CBD from Row \",O379, \", div. by CBD rides as % of all rides from Row \",O41, \", times weekdays in year.\")","v":"Projected 24-hr rides in/out of CBD from Row 379, div. by CBD rides as % of all rides from Row 41, times weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":509},null,null,"Not normalized, i.e., reflects all rides","Normalized (allocated over fare-pay rides)"]
[null,"Projected annual rides, weekends (thousands)",null,null,null,null,null,null,null,null,null,null,{"$f":"N510/N504-1","v":6.4887855277577566E-2},{"$f":"N487/M18","v":323952.26093985239},{"$f":"ROW()","v":510}]
[null,{"$f":"CONCATENATE(\"Projected normalized (fare-paying) rides from Row \",O487, \" divided by fare-to-turnstile adjustment factor in Row \",O18, \".\")","v":"Projected normalized (fare-paying) rides from Row 487 divided by fare-to-turnstile adjustment factor in Row 18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":511}]
[null,"Projected annual rides, all days (thousands)",null,null,null,null,null,null,null,null,null,null,{"$f":"N512/N506-1","v":9.2319220637832267E-2},{"$f":"N508+N510","v":1799833.9129222848},{"$f":"ROW()","v":512},null,"Effective Average Fares"]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O508, \" and \",O510, \".\")","v":"Sum of Rows 508 and 510."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":513},null,"Baseline",{"$f":"N514/N506","v":2.0296375024531423},{"$f":"R513/$M$18","v":2.123607117398004}]
[null,"Baseline annual revenue",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N412+N443","v":3344270.0071879802},{"$f":"ROW()","v":514},null,"Projected, Weekdays",{"$f":"N424/N508","v":2.0243706056063218},{"$f":"R514/$M$18","v":2.1180963699778412}]
[null,{"$f":"CONCATENATE(\"Sum of Baseline Weekday revenues in Row \",O412, \" and Baseline Weekend revenues in Row \",O483, \".\")","v":"Sum of Baseline Weekday revenues in Row 412 and Baseline Weekend revenues in Row 483."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":515},null,"Projected, Saturdays",{"$f":"S515*$M$18","v":2.0296376282009736},{"$f":"R497/R487","v":2.1236072489677986}]
[null,{"$f":"CONCATENATE(\"True-up Calculation: % difference from MTA revenue figure given in Row \",O28,\".\")","v":"True-up Calculation: % difference from MTA revenue figure given in Row 28."},null,null,null,null,null,null,null,null,null,{"$f":"N514/(N12*1000)-1","v":-2.600337516521356E-2},null,null,{"$f":"ROW()","v":516},null,"Projected, Sundays",{"$f":"S516*$M$18","v":2.029637628200974},{"$f":"T497/T487","v":2.1236072489677991}]
[null,{"$f":"CONCATENATE(\"Ratio of baseline revenue directly above in Row \",O502, \" to baseline revenue in Row \",O27, \", less one.\")","v":"Ratio of baseline revenue directly above in Row 502 to baseline revenue in Row 27, less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":517},null,"Projected, Wknds/Hols.",{"$f":"N497/N510","v":2.029637628200974},{"$f":"R517/$M$18","v":2.1236072489677991}]
[null,"Projected annual revenue",null,null,null,null,null,null,null,null,null,null,{"$f":"N518/N514-1","v":8.9994864151632159E-2},{"$f":"N424+N497","v":3645237.1321712406},{"$f":"ROW()","v":518},null,"Projected, All Days",{"$f":"N518/N512","v":2.0253186174565867},{"$f":"R518/$M$18","v":2.1190882735616916}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":519}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":520}]
[null,"10. Adjustment Factors to Adapt Weekday Subway Attraction (from Autos) to Weekends",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":521}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":522}]
[null,"A. Volumes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":523}]
[null,"Relative weekend volume to weekday volume (2016)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"M36/J36","v":0.50593902381492195},{"$f":"ROW()","v":524}]
[null,{"$f":"CONCATENATE(\"Ratio of respective volumes in Row \",O31,\".\")","v":"Ratio of respective volumes in Row 31."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":525}]
[null,"B. Attractions to Subway",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":526}]
[null,"Weighted average price-elasticity for weekend/holiday subway trips (from Section 7, above)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R448","v":-0.20520000000000002},{"$f":"ROW()","v":527}]
[null,"Weighted average price-elasticity for weekday subway trips (same, but uses weights from Section 1)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"K24*Elasticities!G64+L24*Elasticities!H64","v":-0.14760000000000001},{"$f":"ROW()","v":528}]
[null,"Ratio, average weekend subway price \"after\" to same \"before\"",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R517/R513","v":1.000000061955808},{"$f":"ROW()","v":529}]
[null,{"$f":"CONCATENATE(\"Ratio of effective fares in Row \",O517, \" (projected for weekends) to baseline in Row \",O513,\".\")","v":"Ratio of effective fares in Row 517 (projected for weekends) to baseline in Row 513."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":530}]
[null,"Ratio, average weekday subway price \"after\" to same \"before\"",null,null,null,null,null,null,null,null,null,null,null,{"$f":"R514/R513","v":0.99740500614496197},{"$f":"ROW()","v":531}]
[null,{"$f":"CONCATENATE(\"Ratio of effective fares in Row \",O514, \" (projected for weekdays) to baseline in Row \",O513,\".\")","v":"Ratio of effective fares in Row 514 (projected for weekdays) to baseline in Row 513."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":532}]
[null,"Weekend subway ridership change factor (uses standard elasticity formula)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(N529=0,1-N527,N529^N527)","v":0.99999998728666861},{"$f":"ROW()","v":533}]
[null,"Weekday subway ridership change factor (uses standard elasticity formula)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(N531=0,1-N528,N531^N528)","v":1.0003835924759104},{"$f":"ROW()","v":534}]
[null,"Relative weekend attraction to weekday attraction (ratio of two previous values)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N533/N534","v":0.99961654190239935},{"$f":"ROW()","v":535}]
[null,"C. Vehicle Occupancies",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":536}]
[null,"Average weekend vehicle occupancy (Komanoff estimate)",null,null,null,null,null,null,null,null,null,null,null,2,{"$f":"ROW()","v":537}]
[null,"Average weekday vehicle occupancy (wghtd avg of work and non-work occupancies in H.I.S. worksheet)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"K24*H.I.S.!G125+L24*H.I.S.!H125","v":1.29},{"$f":"ROW()","v":538}]
[null,"D. Aggregate Impact of Factors A through C",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":539}]
[null,"Weekend (product of weekend factors in Parts A and B, divided by weekend factor in Part C)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N524*N533/N537","v":0.25296950869137574},{"$f":"ROW()","v":540}]
[null,"Weekday (weekday factor in Part B divided by weekday factor in Part C)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N534/N538","v":0.77549115695807003},{"$f":"ROW()","v":541}]
[null,"Ratio, Weekday to Weekend Auto Reductions",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N540/N541","v":0.32620553622257942},{"$f":"ROW()","v":542}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":543}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":544}]
[null,"What would it cost to provide free or subsidized taxi service to subway riders during graveyard shift?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":545}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":546}]
[null,"Share of weekday subway trips that take place between midnight and 6 am",null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(W24:W29)","v":3.3530241411202047E-2},{"$f":"ROW()","v":547}]
[null,{"$f":"CONCATENATE(\"Sum of percent shares for hours starting at midnight, 1 am, 2 am, 3 am, 4 am, 5 am, from this tab ('Subways'), Rows \",O24, \"-\",O29, \". Derived from CBD-involved trips but would presumably apply to entire system.\")","v":"Sum of percent shares for hours starting at midnight, 1 am, 2 am, 3 am, 4 am, 5 am, from this tab ('Subways'), Rows 24-29. Derived from CBD-involved trips but would presumably apply to entire system."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":548}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":549}]
[null,"Projected 2016 subway trips, million",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N11","v":1691.7080000000001},{"$f":"ROW()","v":550}]
[null,{"$f":"CONCATENATE(\"Cell N\",O11,\".\")","v":"Cell N11."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":551}]
[null,"Number of weekday subway trips that take place between midnight and 6 am, over the course of a year",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(N547*N550*1000000,-5)","v":56700000},{"$f":"ROW()","v":552}]
[null,{"$f":"CONCATENATE(\"Row \",O547, \" times Row \",O550,\".\")","v":"Row 547 times Row 550."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":553}]
[null,"Average length of subway trip, miles",null,null,null,null,null,null,null,null,null,null,null,{"$f":"Transit!J301","v":7.7750000000000004},{"$f":"ROW()","v":554}]
[null,{"$f":"CONCATENATE(\"Copied from 'Transit' tab, Row \",Transit!O301, \".\")","v":"Copied from 'Transit' tab, Row 301."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":555}]
[null,"Cost of yellow-taxi trip of that length",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND('Taxi Farecalcs'!L376,1)","v":27.8},{"$f":"ROW()","v":556}]
[null,{"$f":"CONCATENATE(\"Calculated in 'Taxi Farecalcs' tab, Row \",'Taxi Farecalcs'!O376, \". Assumes avg speed of \",'Taxi Farecalcs'!D376, \" mph for 'overnight' hours. Includes \",100*'Taxi Farecalcs'!C34, \"% tip.\")","v":"Calculated in 'Taxi Farecalcs' tab, Row 376. Assumes avg speed of 18 mph for 'overnight' hours. Includes 15% tip."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":557}]
[null,"Subway fare",null,null,null,null,null,null,null,null,null,null,null,{"$f":"Subway_Base_Fare","v":2.75},{"$f":"ROW()","v":558}]
[null,"Copied from Named Range: Subway_Base_Fare.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":559}]
[null,"Subsidy required for each subway trip replaced by taxi",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N556-N558","v":25.05},{"$f":"ROW()","v":560}]
[null,{"$f":"CONCATENATE(\"Row \",O556, \" less Row \",O558,\".\")","v":"Row 556 less Row 558."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":561}]
[null,"Annual cost to subsidize replacement of all midnight-6 am subway trips with taxis, millions",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(N552*N560/1000000,-1)","v":1420},{"$f":"ROW()","v":562}]
[null,{"$f":"CONCATENATE(\"Row \",O552, \" times Row \",O560,\".\")","v":"Row 552 times Row 560."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":563}]
[null,"Contingency (for administration + \"free riders\")",null,null,null,null,null,null,null,null,null,null,null,0.33,{"$f":"ROW()","v":564}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":565}]
[null,"Annual cost to subsidize replacing all midnight-6 am subway trips with taxis, including contingency, millions",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(N562*(1+N564),-1)","v":1890},{"$f":"ROW()","v":566}]
[null,{"$f":"CONCATENATE(\"Row \",O562, \" times one plus Row \",O564,\".\")","v":"Row 562 times one plus Row 564."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":567}]
[null,"Number of subway lines ",null,null,null,null,null,null,null,null,null,null,null,22,{"$f":"ROW()","v":568}]
[null,"Wikipedia: \"There are 25 train services in the subway system, including three short shuttles.\" https://en.wikipedia.org/wiki/New_York_City_Subway",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":569}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":570}]
[null,"Average cost to subsidize replacing midnight-6 am subway trips with taxis, for each subway line, millions",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N566/N568","v":85.909090909090907},{"$f":"ROW()","v":571}]
[null,{"$f":"CONCATENATE(\"Row \",O566, \" divided by Row \",O568,\".\")","v":"Row 566 divided by Row 568."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":572}]
[null,"Same analysis, but just four hours daily, i.e., between 1-5 a.m.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":573}]
[null,"Share of weekday subway trips that take place between 1-5 a.m.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(W25:W28)","v":1.1857903113382355E-2},{"$f":"ROW()","v":574}]
[null,{"$f":"CONCATENATE(\"Sum of percent shares for hours starting at 1 am, 2 am, 3 am, 4 am, from this tab ('Subways'), Rows \",O25, \"-\",O28, \". Derived from CBD-involved trips but would presumably apply to entire system.\")","v":"Sum of percent shares for hours starting at 1 am, 2 am, 3 am, 4 am, from this tab ('Subways'), Rows 25-28. Derived from CBD-involved trips but would presumably apply to entire system."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":575}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,574]
[null,"Number of weekday subway trips that take place between 1-5 am, over the course of a year",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(N574*N550*1000000,-5)","v":20100000},{"$f":"ROW()","v":577}]
[null,{"$f":"CONCATENATE(\"Row \",O574, \" times Row \",O550,\".\")","v":"Row 574 times Row 550."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":578}]
[null,"Average cost to subsidize replacing 1-5 am subway trips with taxis, for each subway line, millions",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N577/N552*N571","v":30.454545454545453},{"$f":"ROW()","v":579}]
[null,{"$f":"CONCATENATE(\"Prorate Row \",O571, \" figure by ratio of Row \",O577,\" to Row \",O552,\".\")","v":"Prorate Row 571 figure by ratio of Row 577 to Row 552."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":580}]

{"sheet":"CBTC","index":31,"n_rows":276,"n_cols":17,"rows_kept":276,"cut":false,"hidden":false,"merged":[[31,16,33,25],[64,1,65,10],[54,1,55,10],[172,9,172,12],[21,7,22,13],[164,9,164,10],[164,11,164,12],[166,9,166,10],[166,11,166,12],[170,9,170,12],[130,1,131,8],[124,9,124,10],[124,11,124,12],[168,9,168,10],[168,11,168,12],[133,1,134,8],[169,9,169,10],[169,11,169,12],[3,1,6,10],[7,1,9,10],[41,1,45,10],[142,1,143,5],[152,8,154,8],[144,6,146,6],[144,8,146,8],[152,6,154,6]]}
[null,"CBTC (Communications-Based Train Control)",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"CBTC is transformative. It will make the subway safer, increase its capacity and provide greater flexibility and resiliency. It will improve customer information and can significantly reduce costs. Most importantly, CBTC will create a more reliable and efficient subway system. It also transitions the system from analog to digital state — making it part of the modern “connected” world which opens opportunities for even greater transformation in how the subway operates and is able to respond to riders.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"RPA’s 2014 report Moving Forward: Accelerating the Transition to Communications-Based Train Control for New York’s Subways recommended that the MTA install CBTC throughout the entire system within 30 years. Since the release of the report the MTA has doubled the number of lines targeted for CBTC installs in its more recent 2015- 2019 capital plan. While this is a step forward, it is still far less than the four to five lines that RPA recommended back in 2014.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"— Regional Plan Association, Save Our Subways: A Plan to Transform New York City’s Rapid Transit System <http://library.rpa.org/pdf/RPA-Save-Our-Subways.pdf> June 2018, p. 23.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"A. CBTC Cost Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,{"$f":"CONCATENATE(\"Data in Row \",O20, \"were provided to us in Feb 2019 by senior officials in MTA's Capital Program Mangement department.\")","v":"Data in Row 20were provided to us in Feb 2019 by senior officials in MTA's Capital Program Mangement department."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,"Canarsie line",null,"Flushing line",null,null,{"$f":"ROW()","v":17}]
[null,"Construction start year (based on commencement of expenditures by MTA Capital Construction)",null,null,null,null,null,null,null,1996,null,2004,null,null,{"$f":"ROW()","v":18}]
[null,"Construction completion year (based on commencement of expenditures by MTA Capital Construction)",null,null,null,null,null,null,null,2009,null,2019,null,null,{"$f":"ROW()","v":19}]
[null,"Total expenditures (in nominal, i.e., unadjusted dollars)",null,null,null,null,null,null,null,867658501.67999995,null,996379392.46000004,null,null,{"$f":"ROW()","v":20}]
[null,"Total expenditures in 2019 constant dollars (rounded)",null,null,null,null,null,null,null,{"$f":"ROUND(1141656180.97154,-3)","v":1141656000},null,{"$f":"ROUND(1086510255.82141,-3)","v":1086510000},null,null,{"$f":"ROW()","v":21}]
[null,"Conversion of nominal to constant dollars was done by Komanoff in a non-BTA spreadsheet.",null,null,null,null,null,{"$f":"CONCATENATE(\"NB, the cost figures in Row \",O21, \" may not be perfectly comparable due to different scopes (e.g., different track miles, possible inclusion/exclusion of certain cost categories, etc.). We hope to parse these differences further below.\")","v":"NB, the cost figures in Row 21 may not be perfectly comparable due to different scopes (e.g., different track miles, possible inclusion/exclusion of certain cost categories, etc.). We hope to parse these differences further below."},null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Line length (track miles)",null,null,null,null,null,null,null,20.25,null,28.04,null,null,{"$f":"ROW()","v":24}]
[null,{"$f":"CONCATENATE(\"Source: RPA's 2014 Moving Forward report, p. 53, cited in Row \",O55, \".\")","v":"Source: RPA's 2014 Moving Forward report, p. 53, cited in Row 55."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"CBTC cost per mile, in constant 2019 dollars",null,null,null,null,null,null,null,{"$f":"ROUND(J21/J24,-5)","v":56400000},null,{"$f":"ROUND(L21/L24,-5)","v":38700000},null,null,{"$f":"ROW()","v":26}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O21, \" to Row \",O24, \". Note that we assume a linear relationship between miles and cost.\")","v":"Ratio of Row 21 to Row 24. Note that we assume a linear relationship between miles and cost."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Mean CBTC cost per mile, in constant 2019 dollars",null,null,null,null,null,null,null,null,{"$f":"AVERAGE(J26,L26)","v":47550000},null,null,null,{"$f":"ROW()","v":28}]
[null,{"$f":"CONCATENATE(\"Mean of two items in Row \",O27, \".\")","v":"Mean of two items in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Miles of CBTC that can be purchased for $1 billion (in 2019 dollars)",null,null,null,null,null,null,null,null,{"$f":"1000000000/K28","v":21.030494216614091},null,null,null,{"$f":"ROW()","v":30}]
[null,{"$f":"CONCATENATE(\"One billion divided by Row \",O28, \".\")","v":"One billion divided by Row 28."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Miles of CBTC that can be purchased for $15 billion (in 2019 dollars)",null,null,null,null,null,null,null,null,{"$f":"K30*15","v":315.45741324921136},null,null,null,{"$f":"ROW()","v":32},null,"In its 2018 Save Our Subways report, in Table 15 on p. 53, RPA estimated a cost of $27,084,000,000 over a 15-year period to install \"Modern Train Control\" (CBTC presumably), a figure that did \"not include the costs of prcuring additional rolling stock and installing new power substations that wll be required to support an increase in subway service,\" and thus may not be fungible with our estimates above. Also, it isn't clear how many lines were included in that figure."]
[null,{"$f":"CONCATENATE(\"Row \",O30, \" multiplied by 15.\")","v":"Row 30 multiplied by 15."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Percentage of NYC subway system that can be equipped with CBTC for $15 billion'",null,null,null,null,null,null,null,null,{"$f":"K32/L84","v":0.45313923990061383},null,null,null,{"$f":"ROW()","v":34}]
[null,{"$f":"CONCATENATE(\"Row \",O32, \" divided by total NYC Subway track miles in Row \",O84, \".\")","v":"Row 32 divided by total NYC Subway track miles in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"B. Impact of CBTC (Communications-Based Train Control) on Subways Capacity",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"NB: This section figures only peripherally in the main analyses in and findings from this tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"With CBTC the MTA will be in a position to increase system capacity substantially. Theoretically CBTC can support frequencies of up to (and possibly beyond) 40 trains per hour (tph), but application of the technology in legacy systems has demonstrated that the throughput is less. For example, London recently increased capacity on the Victoria line to 36tph. This might be possible on some of the subway’s more isolated tangential routes (L, #7, #6 or #1) that have fewer physical bottlenecks. However, it’s more likely that most lines will see an increase up to 32 tph, similar to London’s estimate for its sub-surface lines which more closely resemble the configuration of the NYC subway.\n   — RPA, Save Our Subways, p. 24.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Passenger capacity of typical subway car",null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(110,145)","v":127.5},null,null,{"$f":"ROW()","v":48}]
[null,"Unweighted avg of letter lines capacity (145) and numbered lines capacity (110), memorialized in Transit Capacity tab of BTA 1.0, in late 2007.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"# subway cars per train",null,null,null,null,null,null,null,null,null,10,null,null,{"$f":"ROW()","v":50}]
[null,"Most frequent value in same source (BTA 1.0 Transit Capacity tab)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Passenger capacity of typical subway train",null,null,null,null,null,null,null,null,null,{"$f":"L48*L50","v":1275},null,null,{"$f":"ROW()","v":52}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O48, \" and \",Transit!O26, \".\")","v":"Product of Rows 48 and 26."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Trains per hour on a typical subway line, presently (w/o CBTC)",null,null,null,null,null,null,null,null,null,23,null,null,{"$f":"ROW()","v":54}]
[null,"Roughly in middle of 20-25 range given in Regional Plan Association report, \"Moving Forward: Accelerating the Transition to Communications-Based Train Control for New York City's Subways,\" 2014, at p. 22 of 72. Report is available at http://library.rpa.org/pdf/RPA-Moving-Forward.pdf. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Trains per hour on a typical subway line, w/ CBTC",null,null,null,null,null,null,null,null,null,28,null,null,{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"RPA report cited in Row \",O55, \" presents figure of 30 (at pp 22-23 of 72). We use slightly lesser figure, for conservatism.\")","v":"RPA report cited in Row 55 presents figure of 30 (at pp 22-23 of 72). We use slightly lesser figure, for conservatism."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Increase in trains per hour on a typical subway line, due to CBTC, %",null,null,null,null,null,null,null,null,null,{"$f":"L57/L54-1","v":0.21739130434782616},null,null,{"$f":"ROW()","v":59}]
[null,"Increase in trains per hour on a typical subway line, due to CBTC, number",null,null,null,null,null,null,null,null,null,{"$f":"L57-L54","v":5},null,null,{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Simple calculations on Rows \",O54, \" and \",O57, \".\")","v":"Simple calculations on Rows 54 and 57."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Increase in passenger capacity per hour on a typical subway line due to CBTC, rounded",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L60*L52,-2)","v":6400},null,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O52, \" and \",31, \".\")","v":"Product of Rows 52 and 31."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Share of 24-h subway passengers carried in 15-h period beginning 6 a.m. and ending 9 p.m.",null,null,null,null,null,null,null,null,null,{"$f":"SUM(Subways!J64:'Subways'!J78)/Subways!J83","v":0.894343324087851},null,null,{"$f":"ROW()","v":64}]
[null,{"$f":"CONCATENATE(\"Calculated from 24-h data array in 'Subways' tab, Rows \",Subways!O55, \"-\",Subways!O83,\". Those hours were selected to capture periods in which running more trains could lessen delays. It is likely an upper bound and may need to be reduced.\")","v":"Calculated from 24-h data array in 'Subways' tab, Rows 55-83. Those hours were selected to capture periods in which running more trains could lessen delays. It is likely an upper bound and may need to be reduced."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Increase in passenger capacity over those 15 hours on a typical subway line due to CBTC, rounded",null,null,null,null,null,null,null,null,null,{"$f":"15*L62","v":96000},null,null,{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"Product of 15 (# of hours reflected in sample defined in Row \",O64, \") and Row \",33, \".\")","v":"Product of 15 (# of hours reflected in sample defined in Row 64) and Row 33."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Number of subway lines",null,null,null,null,null,null,null,null,null,14,null,null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Eyeballed from Table 6 in RPA report noted in Row \",O55, \". Those lines are: 1, 2/3, 6, 4/5, 7, J/Z/M, L, E/F, R, N/Q, A,B,C,D.\")","v":"Eyeballed from Table 6 in RPA report noted in Row 55. Those lines are: 1, 2/3, 6, 4/5, 7, J/Z/M, L, E/F, R, N/Q, A,B,C,D."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Increase in passenger capacity over those lines over those 15 hours due to CBTC, rounded",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L69*L67,-4)","v":1340000},null,null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O69, \" and \",O67, \".\")","v":"Product of Rows 69 and 67."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Average weekday subway ridership (24h), rounded",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(Subways!R5,-4)","v":5580000},null,null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"From MTA factsheet, http://web.mta.info/nyct/facts/ridership/, accessed 21-July-2015; is copied from 'Subways' worksheet, Cell R\",Subways!O5, \".\")","v":"From MTA factsheet, http://web.mta.info/nyct/facts/ridership/, accessed 21-July-2015; is copied from 'Subways' worksheet, Cell R5."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Implied increase in subway system daily capacity anticipated from systemwide uptake of CBTC, %",null,null,null,null,null,null,null,null,null,{"$f":"L71/L73","v":0.24014336917562723},null,null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"Row \",42, \" divided by Row \",O73, \".\")","v":"Row 42 divided by Row 73."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"C. Compilation of NYC Subway Lines",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"NYC Subway System, Sorted by Line Length",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Line",null,"Services","Track Miles",null,"All Subway Lines",null,null,null,null,"Total Miles","Share of Miles","# of Lines",{"$f":"ROW()","v":81}]
[null,"42nd Street Shuttle",null,"S",1.31,null,"Total track miles for lines 10 miles or longer",null,null,null,null,{"$f":"SUM(E92:E116)","v":650.88000000000011},{"$f":"L82/$L$84","v":0.93495748103884169},{"$f":"COUNT(E92:E116)","v":25},{"$f":"ROW()","v":82}]
[null,"Franklin Avenue Line",null,"S",1.35,null,"Total track miles for lines shorter than 10 miles ",null,null,null,null,{"$f":"SUM(E82:E91)","v":45.28},{"$f":"L83/$L$84","v":6.5042518961158355E-2},{"$f":"COUNT(E82:E91)","v":10},{"$f":"ROW()","v":83}]
[null,"Clark Street Line",null,"2/3",4.47,null,"Total",null,null,null,null,{"$f":"L82+L83","v":696.16000000000008},null,null,{"$f":"ROW()","v":84}]
[null,"Second Avenue Line",null,"Q",4.5999999999999996,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Archer Avenue Line",null,"E/J/Z",4.7699999999999996,null,"All Subway Lines except Canarsie & Flushing",null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Nostrand Avenue Line",null,"2/5",5.21,null,"Total track miles for lines 10 miles or longer",null,null,null,null,{"$f":"L82-E101-E109","v":602.59000000000015},null,{"$f":"N82-2","v":23},{"$f":"ROW()","v":87}]
[null,"Nassau Street Loop Line",null,"J/Z",5.47,null,{"$f":"CONCATENATE(\"Total Miles in Row \",O82, \" less Canarsie/Flushing miles in Rows \",O101, \" and \",O109, \".\")","v":"Total Miles in Row 82 less Canarsie/Flushing miles in Rows 101 and 109."},null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Myrtle Avenue Line",null,"M",5.51,null,"Average track miles for those lines ",null,null,null,null,{"$f":"L87/N87","v":26.19956521739131},null,null,{"$f":"ROW()","v":89}]
[null,"Lenox Avenue Line",null,"2/3",5.98,null,{"$f":"CONCATENATE(\"Miles in Cell L\",O87, \" divided by # of lines in Cell N\",O82, \".\")","v":"Miles in Cell L87 divided by # of lines in Cell N82."},null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Liberty Avenue Line",null,"A/C",6.61,null,"Estimated cost to implement CBTC (2019$) per line",null,null,null,null,{"$f":"ROUND(L89*K28,-6)","v":1246000000},null,null,{"$f":"ROW()","v":91}]
[null,"Dyre Avenue Line",null,"5",10.74,null,{"$f":"CONCATENATE(\"Miles per line in Cell L\",O89, \" multiplied by cost per mile estimated in Cell K\",O28, \".\")","v":"Miles per line in Cell L89 multiplied by cost per mile estimated in Cell K28."},null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Crosstown Line",null,"G",13.23,null,"# of lines that can gain CBTC for each $1 billion",null,null,null,null,{"$f":"1000000000/L91","v":0.8025682182985554},null,null,{"$f":"ROW()","v":93}]
[null,"Astoria Line",null,"N/W",13.4,null,{"$f":"CONCATENATE(\"1 billion divided by figure in Row \",O91, \".\")","v":"1 billion divided by figure in Row 91."},null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Sea Beach Line",null,"N",15.88,null,"Cost to implement CBTC (2019$) on all lines >10 miles, except Canarsie & Flushing",null,null,null,null,{"$f":"ROUND(L91*N87,-8)","v":28700000000},null,null,{"$f":"ROW()","v":95}]
[null,"Eastern Parkway Line",null,"2/3/4/5",16.920000000000002,null,{"$f":"CONCATENATE(\"Cost per line in Row \",O91, \" multiplied by number of lines in Cell N\",O87, \".\")","v":"Cost per line in Row 91 multiplied by number of lines in Cell N87."},null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Concourse Line",null,"B/D",16.93,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"West End Line",null,"D",17.5,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Jerome Avenue Line",null,"4",18.71,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"4th Avenue Line",null,"D/R/N",19.8,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Canarsie Line",null,"L",20.25,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"63rd Street Line",null,"F",20.57,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Jamaica Line",null,"J/Z/M",21.87,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Rockaway Line",null,"A/S",22.57,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"6th Avenue Line",null,"B/D/F/M",22.75,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Pelham Line",null,"6",23.13,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"White Plains Road Line",null,"2/5",26.29,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Brighton Line",null,"B/Q",27.54,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Flushing Line",null,"7",28.04,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Fulton Street Line",null,"A/C",29.78,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Broadway Line",null,"N/Q/R/W",30.32,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Lexington Avenue Line",null,"4/5/6",36.729999999999997,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Culver Line",null,"F/G",41.95,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Broadway - 7th Avenue Line",null,"1/2/3",49.85,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Queens Blvd Line",null,"E/F/M/R",52.65,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"8th Avenue Line",null,"A/C/B/D",53.48,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Table compiled from RPA Moving Forward report (2014), Table 11.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"D. Impact of CBTC on Subway Trip Durations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Here we separate subway \"journeys\" into their component sections to create a foundation to estimate savings in journey times from increased train frequency due to CBTC.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,"During Congested Times",null,"During Other Times",null,null,{"$f":"ROW()","v":125}]
[null,"Components of a subway \"journey\" -- now and after CBTC has been installed",null,null,null,null,null,null,null,"Baseline","With CBTC","Baseline","With CBTC",null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Allocation of all subway trips between congested times and other times",null,null,null,null,null,null,null,{"$f":"(SUM(Subways!J65:'Subways'!J76))/Subways!J83","v":0.75915720603731096},{"$f":"J128","v":0.75915720603731096},{"$f":"1-J128","v":0.24084279396268904},{"$f":"1-K128","v":0.24084279396268904},null,{"$f":"ROW()","v":128}]
[null,{"$f":"CONCATENATE(\"Ratio of sum of CBD-related subway trips during 12 hours from 7am-7pm, inclusive, from 'Subways' tab, Rows \",Subways!O65, \"-\",Subways!O76, \" to 24h total in same tab, Row \",Subways!O83, \".\")","v":"Ratio of sum of CBD-related subway trips during 12 hours from 7am-7pm, inclusive, from 'Subways' tab, Rows 65-76 to 24h total in same tab, Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Average Trip Distance",null,null,null,null,null,null,null,{"$f":"1.1*Transit!$J$301","v":8.5525000000000002},{"$f":"J130","v":8.5525000000000002},{"$f":"(Transit!$J$301-J$128*J130)/L$128","v":5.3242531124454215},{"$f":"L130","v":5.3242531124454215},null,{"$f":"ROW()","v":130}]
[null,{"$f":"CONCATENATE(\"'Congested' figure is Schaller figure from 'Transit' tab, Cell J\",Transit!O301, \", plus an estimated 10% imputed to longer commutes. 'Other' figure uses algebra on Schaller figure and respective share figures in Row \",O129, \" to ensure that weighted avg of trip distances equals Schaller figure.\")","v":"'Congested' figure is Schaller figure from 'Transit' tab, Cell J301, plus an estimated 10% imputed to longer commutes. 'Other' figure uses algebra on Schaller figure and respective share figures in Row 129 to ensure that weighted avg of trip distances equals Schaller figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Average Trip Speed",null,null,null,null,null,null,null,{"$f":"Transit!$J$307*(1-0.07)","v":16.105445797865247},null,{"$f":"(Transit!$J$307-J$128*J133)/L$128","v":21.138761662574485},null,null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"'Congested' figure reduces 24h average from 'Transit' tab, Cell J\",Transit!O307, \" by est'd 7%. 'Other' figure uses algebra on that figure and respective shares in Row \",O128, \" to ensure that weighted avg of trips speeds equals 24h average figure.\")","v":"'Congested' figure reduces 24h average from 'Transit' tab, Cell J307 by est'd 7%. 'Other' figure uses algebra on that figure and respective shares in Row 128 to ensure that weighted avg of trips speeds equals 24h average figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Average Trip Duration, minutes",null,null,null,null,null,null,null,{"$f":"J130/J133*60","v":31.861893575651116},null,{"$f":"L130/L133*60","v":15.112294269929288},null,null,{"$f":"ROW()","v":136}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O130, \" to Row \",O133,\", times 60. Does not include passenger boarding and exiting, including waiting due to packed train.\")","v":"Ratio of Row 130 to Row 133, times 60. Does not include passenger boarding and exiting, including waiting due to packed train."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Average distance between stations in NYC subway system, miles",null,null,null,null,null,null,null,0.7,null,0.7,null,null,{"$f":"ROW()","v":138}]
[null,"Komanoff rough estimate that attempts to reflect express as well as local travel.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Number of stops for an average subway trip, excluding start and finish",null,null,null,null,null,null,null,{"$f":"ROUND(J130/J138,0)-1","v":11},{"$f":"J140","v":11},{"$f":"ROUND(L130/L138,0)-1","v":7},{"$f":"L140","v":7},null,{"$f":"ROW()","v":140}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O130, \" to Row \",O138,\", rounded, less one.\")","v":"Ratio of Row 130 to Row 138, rounded, less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Dwell time per stop, seconds",null,null,null,null,null,null,null,35,25,25,25,null,{"$f":"ROW()","v":142}]
[null,"All figures are Komanoff. Presumption is that rush-hour crowding impedes and slows boarding. Figures should be checked against stopwatch estimates.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[]
[null,"Total dwell time per trip, minutes",null,null,null,null,"Speed incrs while train is actually in motion, w/ CBTC, Congested Times",null,"Speed incrs while train is actually in motion, w/ CBTC, Other Times",{"$f":"J140*J142/60","v":6.416666666666667},{"$f":"K140*K142/60","v":4.583333333333333},{"$f":"L140*L142/60","v":2.9166666666666665},{"$f":"M140*M142/60","v":2.9166666666666665},null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O140, \" and \",O142,\", divided by 60.\")","v":"Product of Rows 140 and 142, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Time in motion per trip, in minutes",null,null,null,null,null,null,null,{"$f":"J136-J145","v":25.445226908984448},{"$f":"J147/(1+G148)","v":20.356181527187559},{"$f":"L136-L145","v":12.195627603262622},{"$f":"L147/(1+I148)","v":10.732152290871108},null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Baseline is ratio of Row \",O130, \" to Row \",O133,\", times 60. 'With CBTC' assumes these speed gains:\")","v":"Baseline is ratio of Row 130 to Row 133, times 60. 'With CBTC' assumes these speed gains:"},null,null,null,null,0.25,null,{"$f":"3/22","v":0.13636363636363635},null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Passenger boarding time, in minutes",null,null,null,null,null,null,null,{"$f":"J142/60","v":0.58333333333333337},{"$f":"K142/60","v":0.41666666666666669},{"$f":"L142/60","v":0.41666666666666669},{"$f":"M142/60","v":0.41666666666666669},null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Row \",O142, \" divided by 60.\")","v":"Row 142 divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Passenger exiting time, in minutes",null,null,null,null,null,null,null,{"$f":"J149/2","v":0.29166666666666669},{"$f":"K149/2","v":0.20833333333333334},{"$f":"L149/2","v":0.20833333333333334},{"$f":"M149/2","v":0.20833333333333334},null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"One-half of boarding time in Row \",O149, \".\")","v":"One-half of boarding time in Row 149."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Percent of trips in which crowding prevents rider from boarding train",null,null,null,null,"Trains per hr increase assumed for CBTC, during Congested Times",null,"Trains per hr increase assumed for CBTC, during Other Times",0.1,0,0.02,0,null,{"$f":"ROW()","v":153}]
[null,"Komanoff rough estimates.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Trains per hour",null,null,null,null,null,null,null,{"$f":"$L$54","v":23},{"$f":"J155+G156","v":28},{"$f":"J155*(1-15%)","v":19.55},{"$f":"L155+I156","v":19.55},null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"'Congested' walue is from Row \",O54, \". 'Other' value is set 15% less. Values w/ CBTC are incrsd by:\")","v":"'Congested' walue is from Row 54. 'Other' value is set 15% less. Values w/ CBTC are incrsd by:"},null,null,null,null,5,null,0,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Time interval between trains, minutes",null,null,null,null,null,null,null,{"$f":"60/J155","v":2.6086956521739131},{"$f":"60/K155","v":2.1428571428571428},{"$f":"60/L155","v":3.0690537084398977},{"$f":"60/M155","v":3.0690537084398977},null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"60 divided by Row \",O155, \".\")","v":"60 divided by Row 155."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Passenger waiting time on platform, minutes",null,null,null,null,null,null,null,{"$f":"J157/2","v":1.3043478260869565},{"$f":"K157/2","v":1.0714285714285714},{"$f":"L157/2","v":1.5345268542199488},{"$f":"M157/2","v":1.5345268542199488},null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"One-half of Row \",O159, \".\")","v":"One-half of Row 159."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Time now added to typical trip because crowding prevented rider from boarding train, minutes",null,null,null,null,null,null,null,{"$f":"J153*J157","v":0.2608695652173913},{"$f":"K153*K157","v":0},{"$f":"L153*L157","v":6.1381074168797956E-2},{"$f":"M153*M157","v":0},null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O153, \" and \",O157,\".\")","v":"Product of Rows 153 and 157."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Total journey time in minutes",null,null,null,null,null,null,null,{"$f":"SUM(J145:J151)+SUM(J159:J161)","v":34.302110966955468},{"$f":"SUM(K145:K151)+SUM(K159:K161)","v":26.635943431949464},{"$f":"SUM(L145:L151)+SUM(L159:L161)","v":17.333202198318034},{"$f":"SUM(M145:M151)+SUM(M159:M161)","v":15.808345811757723},null,{"$f":"ROW()","v":163}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O145, \"-\",O151,\" and \",O159, \"-\",O161, \".\")","v":"Sum of Rows 145-151 and 159-161."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Projected change in journey time, minutes, due to CBTC",null,null,null,null,null,null,null,{"$f":"K163-J163","v":-7.6661675350060037},null,{"$f":"M163-L163","v":-1.5248563865603106},null,null,{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"Differences between adjacent columns in Row \",O165, \".\")","v":"Differences between adjacent columns in Row 165."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Change in journey time due to CBTC, %",null,null,null,null,null,null,null,{"$f":"J165/J163","v":-0.22348967217764282},null,{"$f":"L165/L163","v":-8.7973149399265566E-2},null,null,{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"Row \",O167, \" divided by Row \",O165, \".\")","v":"Row 167 divided by Row 165."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Weighted average journey time in minutes",null,null,null,null,null,null,null,"Baseline",null,"With CBTC",null,null,{"$f":"ROW()","v":169}]
[null,{"$f":"CONCATENATE(\"Baseline figures in Row \",O163, \" weighted by shares in Row \",O128, \".\")","v":"Baseline figures in Row 163 weighted by shares in Row 128."},null,null,null,null,null,null,null,{"$f":"J163*J128+L163*L128","v":30.215271568618853},null,{"$f":"K163*K128+M163*M128","v":24.028194569198721},null,null,{"$f":"ROW()","v":170}]
[null,"Weighted average change in journey time, minutes",null,null,null,null,null,null,null,{"$f":"L170-J170","v":-6.1870769994201318},null,null,null,null,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"With CBTC figure in Row \",O170, \" less Baseline figure in same row.\")","v":"With CBTC figure in Row 170 less Baseline figure in same row."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Weighted average change in journey time, %",null,null,null,null,null,null,null,{"$f":"L170/J170-1","v":-0.20476655274698707},null,null,null,null,{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"Row \",O173, \" divided by Baseline figure in Row \",O170, \", less one.\")","v":"Row 173 divided by Baseline figure in Row 170, less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"E. System-Wide Time Spent on Subway Journeys per Year (prior to Full Uptake of CBTC)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"Total number of subway trips per year, baseline (rounded)",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(Subways!N11*1000000,-6)","v":1692000000},null,null,{"$f":"ROW()","v":178}]
[null,{"$f":"CONCATENATE(\"Copied from entry for 2018 in Subways tab, Cell N\",Subways!O11, \".\")","v":"Copied from entry for 2018 in Subways tab, Cell N11."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Average time per trip, in motion, minutes (note, this figure includes dwell times in stations between boarding and disembarking)",null,null,null,null,null,null,null,null,null,{"$f":"Transit!J301/Transit!J307*60","v":26.937782750323212},null,null,{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"Ratio of average subway trip distance in 'Transit' tab, Row \",Transit!O301, \" to average (degraded) subway speed in same tab, Row \",Transit!O307, \", time 60.\")","v":"Ratio of average subway trip distance in 'Transit' tab, Row 301 to average (degraded) subway speed in same tab, Row 307, time 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Added time per trip to board train",null,null,null,null,null,null,null,null,null,{"$f":"J149*J128+L149*L128","v":0.54319286767288522},null,null,{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"Boarding times for congested and other times in Row \",O149, \" weighted by 24h shares of trips in Row \",O$128, \".\")","v":"Boarding times for congested and other times in Row 149 weighted by 24h shares of trips in Row 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Added time per trip to exit train",null,null,null,null,null,null,null,null,null,{"$f":"0.5*L182","v":0.27159643383644261},null,null,{"$f":"ROW()","v":184}]
[null,{"$f":"CONCATENATE(\"One-half of boarding time in Row \",O182, \".\")","v":"One-half of boarding time in Row 182."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Passenger waiting time on platform, minutes",null,null,null,null,null,null,null,null,null,{"$f":"J159*J$128+L159*L$128","v":1.3597847863341228},null,null,{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"Passenger waiting times for congested and other times in Row \",O159, \" weighted by 24h shares of trips in Row \",O$128, \".\")","v":"Passenger waiting times for congested and other times in Row 159 weighted by 24h shares of trips in Row 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Time added to typical trip because crowding prevented rider from boarding train, minutes",null,null,null,null,null,null,null,null,null,{"$f":"J161*J$128+L161*L$128","v":0.2128241996698472},null,null,{"$f":"ROW()","v":188}]
[null,{"$f":"CONCATENATE(\"Passenger added waiting times for congested and other times in Row \",O161, \" weighted by 24h shares of trips in Row \",O$128, \".\")","v":"Passenger added waiting times for congested and other times in Row 161 weighted by 24h shares of trips in Row 128."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Total journey time in minutes",null,null,null,null,null,null,null,null,null,{"$f":"SUM(L180:L188)","v":29.325181037836511},null,null,{"$f":"ROW()","v":190}]
[null,{"$f":"CONCATENATE(\"Sum of prior five items (Rows \",O180, \"-\",O188, \").\")","v":"Sum of prior five items (Rows 180-188)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Total hours per year spent by all subway riders in subway journeys, baseline (rounded)",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L178*L190/60,-6)","v":827000000},null,null,{"$f":"ROW()","v":192}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O178, \" and \",O190,\".\")","v":"Product of Rows 178 and 190."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"F. System-Wide Time Savings from Uptake of CBTC",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Miles of CBTC that can be purchased for $1 billion (in 2019 dollars)",null,null,null,null,null,null,null,null,null,{"$f":"K30","v":21.030494216614091},null,null,{"$f":"ROW()","v":197}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O30, \".\")","v":"Copied from Row 30."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Share of the entire subway system that can be CBTC'd for $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"L197/L84","v":3.0209282660040922E-2},null,null,{"$f":"ROW()","v":199}]
[null,{"$f":"CONCATENATE(\"Ratio of miles in Row \",O197, \" to total subway track miles in Row \",O84, \".\")","v":"Ratio of miles in Row 197 to total subway track miles in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Annual number of subway trips that will be affected by investing $1 billion in CBTC",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L199*L178,-5)","v":51100000},null,null,{"$f":"ROW()","v":201}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O178, \" and \",O199,\".\")","v":"Product of Rows 178 and 199."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Annual number of hours that will be saved (averted) through that investment",null,null,null,null,null,null,null,null,null,{"$f":"-ROUND(L201*J171/60,-3)","v":5269000},null,null,{"$f":"ROW()","v":203}]
[null,{"$f":"CONCATENATE(\"Product of reduction in average journey time in Row \",O171, \" and number of trips in Row \",O201,\", divided by 60.\")","v":"Product of reduction in average journey time in Row 171 and number of trips in Row 201, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Annual saved time as percent of all subway journey time, from investing $1 billion in CBTC",null,null,null,null,null,null,null,null,null,{"$f":"L203/L192","v":6.3712212817412335E-3},null,null,{"$f":"ROW()","v":205}]
[null,{"$f":"CONCATENATE(\"Ratio of saved hours in Row \",O203, \" to total subway hours in Row \",O192, \".\")","v":"Ratio of saved hours in Row 203 to total subway hours in Row 192."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Presumed bonding ratio, i.e., one-time dollar-volume of capital that can be generated per dollar/year of guaranteed revenue",null,null,null,null,null,null,null,null,null,15,null,null,{"$f":"ROW()","v":207}]
[null,"Komanoff assumption, pegged to general rule of thumb in common discourse on MTA financing circa 2017-2018-2019.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"Annual saved time as percent of all subway journey time, from each $1 billion/year in new revenue invested in CBTC",null,null,null,null,null,null,null,null,null,{"$f":"L205*L207","v":9.5568319226118498E-2},{"$f":"1/(1-L209)","v":1.1056667090037635},null,{"$f":"ROW()","v":209}]
[null,"Miles of CBTC that can be purchased with the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"L197*L207","v":315.45741324921136},null,null,{"$f":"ROW()","v":210}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O197, \" and \",O207,\".\")","v":"Product of Rows 197 and 207."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Share of mileage of NYC subway system that can be equipped with CBTC with the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"L210/L84","v":0.45313923990061383},null,null,{"$f":"ROW()","v":212}]
[null,{"$f":"CONCATENATE(\"CBTC track miles in Rows \",O210, \" divided by total track miles in Row \",O84,\".\")","v":"CBTC track miles in Rows 210 divided by total track miles in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Annual number of hours that will be saved (averted) through investing the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L203*L207,-5)","v":79000000},null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O203, \" and \",O207,\".\")","v":"Product of Rows 203 and 207."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Daily number of hours that will be saved (averted) through investing the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L214/Constants!J7,-3)","v":216000},7,{"$f":"L216*M216","v":1512000},{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Row \",O216, \" divided by number of days in a year\")","v":"Row 216 divided by number of days in a year"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Number of subway trips now on an average day (averaged over weekdays, weekends and holidays)",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L178/Constants!J7,-3)","v":4636000},null,null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"Row \",O178, \" divided by number of days in a year\")","v":"Row 178 divided by number of days in a year"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Savings per subway trip from investing the capital generated by bonding an annual revenue stream of $1 billion, expressed in minutes",null,null,null,null,null,null,null,null,null,{"$f":"L216*60/L218","v":2.7955133735979292},null,null,{"$f":"ROW()","v":220}]
[null,{"$f":"CONCATENATE(\"Row \",O216, \" multiplied by 60 and divided by Row \",O218, \".\")","v":"Row 216 multiplied by 60 and divided by Row 218."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Annual monetary value of time savings from investing the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L214*'Value of Time'!G155,-7)","v":1380000000},null,null,{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Row \",O214, \" multiplied by average value of subway riders' time, copied from 'Value of Time' tab, Cell G\",'Value of Time'!O155, \".\")","v":"Row 214 multiplied by average value of subway riders' time, copied from 'Value of Time' tab, Cell G155."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Daily monetary value of time savings from investing the capital generated by bonding an annual revenue stream of $1 billion",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L222/Constants!J7,-3)","v":3781000},null,null,{"$f":"ROW()","v":224}]
[null,{"$f":"CONCATENATE(\"Row \",O222, \" divided by number of days in a year\")","v":"Row 222 divided by number of days in a year"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]

{"sheet":"Sub v. Bus","index":32,"n_rows":81,"n_cols":33,"rows_kept":81,"cut":false,"hidden":false,"merged":[[47,1,48,7],[33,1,34,7],[44,1,45,7],[3,1,7,7],[15,5,15,7],[15,9,15,11],[9,1,13,7],[26,1,28,7],[22,1,24,7],[36,1,40,7],[60,1,61,7],[66,1,67,7],[75,1,76,7],[78,1,80,7],[49,13,51,16]]}
[null,"Subway vs. Bus",null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet develops an algorithm for assigning new CBD-bound transit trips between subway and bus modes. The premise is that transit trips' fare costs and time costs can be combined into total costs, and that distributions of these costs conform to the Gaussian \"normal\" distribution. The mode selected for that trip is the one with the lower total cost (subway vs. bus).",null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null," ",null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Below we have selected baseline values for subway and bus trip parameters that cause the respective distributions to be such that the bus cost is less than subway cost in only 5% of cases, which matches the bus share of transit trips into the CBD for trips originating in NYC (which may be calc'd by comparing weekday bus trips into the CBD in Buses worksheet w/ the parallel figure for subways in Subways worksheet).",null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,"Before",null,null,{"$f":"ROW()","v":16},"After"]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"One Way",null,null,null,"Subway","Bus","Both",{"$f":"ROW()","v":18},"Subway","Bus","Both"]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Time to access mode, minutes (at start + finish)",null,null,null,10,10,null,{"$f":"ROW()","v":20},10,10]
[null,"Increase in transit speeds w/ our plan",null,null,null,null,null,null,{"$f":"ROW()","v":21},{"$f":"1/(1+Subways!AN189)-1","v":0.12347377547981142},{"$f":"1/((1+Transit!I381)*(1-'Bus Boarding'!J160))-1","v":2.6947984487893928E-2}]
[null,{"$f":"CONCATENATE(\"For subways: Reciprocal-complement of additive inverse of figure in 'Subways' worksheet, Row \",Subways!O189,\".\")","v":"For subways: Reciprocal-complement of additive inverse of figure in 'Subways' worksheet, Row 189."},null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,{"$f":"CONCATENATE(\"For buses: Reciprocal-complement of product of (i) figure in 'Bus Boarding' worksheet, Row \",'Bus Boarding'!AG160, \", reflecting faster traffic, and (ii) figure in 'Transit' worksheet, Row \",Transit!O376, \", reflecting investment in increased service. Note that impact of fare-free boarding isn't reflected unless plan includes free buses.\")","v":"For buses: Reciprocal-complement of product of (i) figure in 'Bus Boarding' worksheet, Row 160, reflecting faster traffic, and (ii) figure in 'Transit' worksheet, Row 376, reflecting investment in increased service. Note that impact of fare-free boarding isn't reflected unless plan includes free buses."},null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Travel time on mode for commuting, minutes ",null,null,null,{"$f":"(Transit!J301/Transit!J307)*60","v":26.937782750323212},{"$f":"(Transit!J301/Transit!I307)*60","v":69.578203156843514},null,{"$f":"ROW()","v":26},{"$f":"F26/(1+J$21)","v":23.977224336027483},{"$f":"G26/(1+K$21)","v":67.752412203759221}]
[null,{"$f":"CONCATENATE(\"For subways: Quotient of mean subway commute-trip distance in 'Transit' worksheet, Row \",Transit!O301, \", to mean subway speed in Row \",Transit!O307, \". For buses: same, except subway distance is used instead of bus, to put comparison on equal footing.\")","v":"For subways: Quotient of mean subway commute-trip distance in 'Transit' worksheet, Row 301, to mean subway speed in Row 307. For buses: same, except subway distance is used instead of bus, to put comparison on equal footing."},null,null,null,null,null,null,{"$f":"ROW()","v":27},"Reflects applicable changes in speeds."]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Adjustment to commute travel time, to reflect all trips",null,null,null,{"$f":"-1/5","v":-0.2},{"$f":"F30","v":-0.2},null,{"$f":"ROW()","v":30}]
[null,"Travel time on mode for all trips, minutes ",null,null,null,{"$f":"F26*(1+F30)","v":21.550226200258571},{"$f":"G26*(1+G30)","v":55.662562525474812},null,{"$f":"ROW()","v":31},{"$f":"F31/(1+J$21)","v":19.18177946882199},{"$f":"G31/(1+K$21)","v":54.201929763007371}]
[null,{"$f":"CONCATENATE(\"% in Row \",I30, \" is Komanoff assumption. Row \",I31, \" equals Row \",I26, \" times one plus Row \",I30, \".\")","v":"% in Row 30 is Komanoff assumption. Row 31 equals Row 26 times one plus Row 30."},null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Bus travel times, using bus trip lengths, not subway",null,null,null,{"$f":"F31","v":21.550226200258571},{"$f":"G31*Transit!$I$301/Transit!$J$301","v":25.987794465269907},null,{"$f":"ROW()","v":33},{"$f":"J31","v":19.18177946882199},{"$f":"K31*Transit!$I$301/Transit!$J$301","v":25.305852738227234}]
[null,{"$f":"CONCATENATE(\"Prorates Row \",I31, \" figures by ratio of bus to subway trips (in miles) in 'Transit' worksheet, Row \",Transit!O301, \". Will be used in 'Cost-Benefit' worksheet in estimating amount and value of bus riders' saved time.\")","v":"Prorates Row 31 figures by ratio of bus to subway trips (in miles) in 'Transit' worksheet, Row 301. Will be used in 'Cost-Benefit' worksheet in estimating amount and value of bus riders' saved time."},null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Wait times till subway or bus arrives",null,null,null,{"$f":"1.25*(0.4*2.5+0.4*4.5+0.2*7)","v":5.25},{"$f":"1.5*(0.4*2.5+0.4*4.5+0.2*7)","v":6.3000000000000007},null,{"$f":"ROW()","v":36},{"$f":"F36/(1+J$21)","v":4.6730062726723087},{"$f":"G36/(1+K$21)","v":6.1346826666606766}]
[null,"Figure for bus wait time adds 50% to figure derived from NYC Transit report, \"Bus: Wait Assessement\" reports wait times within \"acceptable limits\" 81.7% of time during 7 a.m. - 7 p.m. for 2006 and first half 2007 (http://www.mta.info/mta/ind-perform/month/nyct-b-wait.htm). Criteria are 3 minutes max 7-9 a.m. and 4-7 p.m. (peak) and 5 minutes 9 a.m.-4 p.m (shoulder). We assume 40% of passengers are peak and average 2.5 minutes; 40% shoulder averaging 4.5 minutes; 20% off-peak averaging 7 minutes. We impute same weighted average to subways, except we add 25% instead of 50%",null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Total travel times, including wait time",null,null,null,{"$f":"F33+F36","v":26.800226200258571},{"$f":"G33+G36","v":32.287794465269911},null,{"$f":"ROW()","v":42},{"$f":"J33+J36","v":23.854785741494297},{"$f":"K33+K36","v":31.44053540488791}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",I33, \" and \",I36, \".\")","v":"Sum of Rows 33 and 36."},null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Fare, baseline",null,null,null,{"$f":"Subways!$J33","v":2.1236071173980036},{"$f":"Buses!L44","v":1.9754622261714638},null,{"$f":"ROW()","v":44},{"$f":"F44","v":2.1236071173980036},{"$f":"G44","v":1.9754622261714638}]
[null,"From Subways worksheet. Approximate 2008 NYC Transit averages for subways and buses combined, reflecting free transfers, discounts, etc.",null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Value of travel/access time, per hour (derived in box immediately below)",null,null,null,null,null,{"$f":"'Value of Time'!$G$155","v":17.529181623641431},{"$f":"ROW()","v":47},null,null,{"$f":"'Value of Time'!$G$155","v":17.529181623641431}]
[null,{"$f":"CONCATENATE(\"Derived from 'Value of Time' worksheet, Row\",'Value of Time'!O155, \". Is approx wghtd avg for in/out CBD and weekends/weekdays. Figure is for subways, is applied to both modes here.\")","v":"Derived from 'Value of Time' worksheet, Row155. Is approx wghtd avg for in/out CBD and weekends/weekdays. Figure is for subways, is applied to both modes here."},null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Total time cost",null,null,null,{"$f":"(F20+F31)/60*$H47","v":9.2174940888550498},{"$f":"(G20+G31)/60*$H47","v":19.183516406379326},null,{"$f":"ROW()","v":50},{"$f":"(J20+J31)/60*$H47","v":8.5255452068338542},{"$f":"(K20+K31)/60*$H47","v":18.756788123400444},null,null,"Note: Baseline fares are used here in \"After\" columns as well as \"Before.\" New fares are inputted further below, for each hour."]
[null,"Calculated by multiplying value of time by total trip time (access + travel).",null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Total trip cost, mean",null,null,null,{"$f":"F50+F44","v":11.341101206253054},{"$f":"G50+G44","v":21.158978632550788},null,{"$f":"ROW()","v":52},{"$f":"J50+J44","v":10.649152324231858},{"$f":"K50+K44","v":20.732250349571906}]
[null,"Sum of fare cost + time cost.",null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Total trip cost, standard deviation",null,null,null,{"$f":"F52*$H55","v":2.7332053907069858},{"$f":"G52*$H55","v":5.0993138504447399},null,{"$f":"ROW()","v":54}]
[null,"Komanoff assumption, that st dev = following percentage of respective mean:",null,null,null,null,null,0.24099999999999999,{"$f":"ROW()","v":55}]
[null,"Mean of the difference in cost between subway and bus",null,null,null,null,null,{"$f":"G52-F52","v":9.8178774262977342},{"$f":"ROW()","v":56}]
[null,"Standard deviation of the difference in cost between subway and bus",null,null,null,null,null,{"$f":"(F54^2+G54^2)^0.5","v":5.7856212676883096},{"$f":"ROW()","v":57}]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Share of trips for which bus cost is less than subway cost",null,null,null,null,{"$f":"NORMSDIST((-H56/H57))","v":4.485358936920731E-2},null,{"$f":"ROW()","v":60}]
[null,"Uses mathematical formula (Normal Distribution) for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Hour-by-hour estimation of changes in bus shares of new transit trips",null,null,null,null,null,null,{"$f":"ROW()","v":63},{"$f":"Subways!P108","v":"Midnight"},{"$f":"Subways!Q108","v":"1 a.m."},{"$f":"Subways!R108","v":"2 a.m."},{"$f":"Subways!S108","v":"3 a.m."},{"$f":"Subways!T108","v":"4 a.m."},{"$f":"Subways!U108","v":"5 a.m."},{"$f":"Subways!V108","v":"6 a.m."},{"$f":"Subways!W108","v":"7 a.m."},{"$f":"Subways!X108","v":"8 a.m."},{"$f":"Subways!Y108","v":"9 a.m."},{"$f":"Subways!Z108","v":"10 a.m."},{"$f":"Subways!AA108","v":"11 a.m."},{"$f":"Subways!AB108","v":"Noon"},{"$f":"Subways!AC108","v":"1 p.m."},{"$f":"Subways!AD108","v":"2 p.m."},{"$f":"Subways!AE108","v":"3 p.m."},{"$f":"Subways!AF108","v":"4 p.m."},{"$f":"Subways!AG108","v":"5 p.m."},{"$f":"Subways!AH108","v":"6 p.m."},{"$f":"Subways!AI108","v":"7 p.m."},{"$f":"Subways!AJ108","v":"8 p.m."},{"$f":"Subways!AK108","v":"9 p.m."},{"$f":"Subways!AL108","v":"10 p.m."},{"$f":"Subways!AM108","v":"11 p.m."}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Subway trip cost (fare component) from new pricing",null,null,null,null,null,null,{"$f":"ROW()","v":65},{"$f":"Subways!P141","v":2.75},{"$f":"Subways!Q141","v":2.75},{"$f":"Subways!R141","v":2.75},{"$f":"Subways!S141","v":2.75},{"$f":"Subways!T141","v":2.75},{"$f":"Subways!U141","v":2.75},{"$f":"Subways!V141","v":2.75},{"$f":"Subways!W141","v":2.75},{"$f":"Subways!X141","v":2.75},{"$f":"Subways!Y141","v":2.75},{"$f":"Subways!Z141","v":2.75},{"$f":"Subways!AA141","v":2.75},{"$f":"Subways!AB141","v":2.75},{"$f":"Subways!AC141","v":2.75},{"$f":"Subways!AD141","v":2.75},{"$f":"Subways!AE141","v":2.75},{"$f":"Subways!AF141","v":2.75},{"$f":"Subways!AG141","v":2.75},{"$f":"Subways!AH141","v":2.75},{"$f":"Subways!AI141","v":2.75},{"$f":"Subways!AJ141","v":2.75},{"$f":"Subways!AK141","v":2.75},{"$f":"Subways!AL141","v":2.75},{"$f":"Subways!AM141","v":2.75}]
[null,"Bus trip cost (fare component) from new pricing",null,null,null,null,null,null,{"$f":"ROW()","v":66},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75},{"$f":"'Policy Levers'!$K$234","v":2.75}]
[null,{"$f":"CONCATENATE(\"Subways values are from 'Subways' worksheet, Row \",Subways!O141, \"; bus values are from constant fare selected in 'Summary' worksheet.\")","v":"Subways values are from 'Subways' worksheet, Row 141; bus values are from constant fare selected in 'Summary' worksheet."},null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Total subway cost (fare + time)",null,null,null,null,null,null,{"$f":"ROW()","v":69},{"$f":"J65+$F$50","v":11.96749408885505},{"$f":"K65+$F$50","v":11.96749408885505},11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505,11.96749408885505]
[null,"Total bus cost (fare + time)",null,null,null,null,null,null,{"$f":"ROW()","v":70},{"$f":"J66+$K$50","v":21.506788123400444},{"$f":"K66+$K$50","v":21.506788123400444},21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444,21.506788123400444]
[null,"Total costs add hourly bus & subway fares to total time costs calculated in \"After\" columns, above.",null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Mean of the difference in cost between subway and bus",null,null,null,null,null,null,{"$f":"ROW()","v":72},{"$f":"J70-J69","v":9.539294034545394},{"$f":"K70-K69","v":9.539294034545394},9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394,9.539294034545394]
[null,"Standard deviation of the difference in cost between subway and bus",null,null,null,null,null,null,{"$f":"ROW()","v":73},{"$f":"$H$55*(J69^2 + J70^2)^0.5","v":5.9315522504363205},{"$f":"$H$55*(K69^2 + K70^2)^0.5","v":5.9315522504363205},5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205,5.9315522504363205]
[null,"Uses mathematical formula for standard deviation of difference between two normal distributions.",null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Bus share of trips, with bus speed gain and new fares factored into trip costs",null,null,null,null,null,null,{"$f":"ROW()","v":75},{"$f":"NORMSDIST(-J72/J73)","v":5.3892522711191541E-2},{"$f":"NORMSDIST(-K72/K73)","v":5.3892522711191541E-2},5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2,5.3892522711191541E-2]
[null,"Uses probabilistic formula referenced, but with new transit costs (both mean and std dev) due to change in bus speeds, bus fare and subway fare.",null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Ratio of bus trip share to baseline share, if each hour's share equaled 24-h average",null,null,null,null,null,null,{"$f":"ROW()","v":78},{"$f":"J75/$G$60","v":1.201520847475132},1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132,1.201520847475132]
[null,"These ratios will be called on in Subways worksheet to adjust buses' hourly shares of baseline transit trips, to account for the fact that these shares vary by hour (i.e., they are not all equal to the 5.0% average).",null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]

{"sheet":"Buses","index":33,"n_rows":331,"n_cols":33,"rows_kept":331,"cut":false,"hidden":false,"merged":[[46,11,47,11],[253,32,254,32],[251,31,254,31],[256,10,259,10],[256,12,259,12],[256,15,259,15],[256,16,259,16],[256,18,259,18],[256,19,259,19],[256,28,259,28],[256,29,259,29],[257,13,259,13],[252,13,254,13],[257,32,259,32],[244,24,254,24],[251,25,254,25],[14,11,31,12],[21,1,24,8],[28,5,31,6],[18,9,31,9],[18,1,20,8],[15,1,17,7],[257,8,259,8],[240,12,254,12],[249,11,254,11],[60,9,61,9],[71,1,72,11],[78,1,79,11],[62,3,63,6],[101,1,102,11],[122,1,123,11],[155,1,156,11],[253,10,254,10],[208,10,216,12],[235,2,236,9],[296,1,297,10],[284,1,285,10],[287,1,289,10],[290,1,291,10],[292,1,293,10],[294,1,295,10],[307,8,308,8],[316,1,318,9],[307,4,308,4],[306,9,308,9],[305,5,308,5],[305,6,308,6],[305,7,308,7],[253,27,254,27],[253,28,254,28],[253,29,254,29],[257,31,259,31],[253,30,254,30],[257,30,259,30],[257,27,259,27],[257,26,259,26],[257,25,259,25],[253,18,254,18],[257,24,259,24],[243,20,254,20],[253,21,254,21],[253,22,254,22],[253,23,254,23],[257,20,259,20],[257,21,259,21],[257,22,259,22],[252,19,254,19],[257,23,259,23],[253,26,254,26],[257,17,259,17],[257,4,259,4],[257,9,259,9],[252,1,254,7],[253,8,254,8],[253,9,254,9],[243,15,254,15],[241,1,244,10],[257,5,259,5],[257,6,259,6],[257,7,259,7],[257,3,259,3],[253,16,254,16],[253,17,254,17],[257,2,259,2],[257,11,259,11]]}
[null,"Buses",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet has four parts. Click on links directly below to access each.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"Ridership Changes",null,"Part 1, by far the longest, estimates changes in bus ridership that would be expected to result from changes in fares and service quality. ",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"CBD Bus Rider Arrivals",null,"Part 2 tabulates NYMTC \"Hub-Bound\" data on the number of bus riders arriving in the CBD via different portals, on weekdays.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Bus Spending & Service",null,"Part 3 develops metrics to estimate system-wide time savings and ridership gains per different expenditure levels to increase bus service.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Dollar Bus Fares",null,"Part 4 estimates the cost to provide \"dollar bus fares\" in parts of New York City beyond the reach of subway lines.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"1. Changes in Bus Ridership (Citywide) from Changes in Fares, Tolls and Service",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"A. Derive Baseline Average Bus Fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"NYC Transit Bus Ridership",null,null,null,null,null,null,2016,638413113,null,"In earlier years, same NYCT Web page had this note: \"Ridership is the number of passengers for whom the agency receives a fare, either through direct fare payment (e.g., cash, Pay-Per-Ride MetroCards, Unlimited Ride MetroCards, etc.) or fare reimbursements (senior citizens, school children, the physically disabled). Passengers that use free transfers (either train-to-bus, bus-to-train or bus-to-bus) are counted as additional passengers even though they are not paying additional fares.\"",null,null,{"$f":"ROW()","v":15}]
[null,"2017 (actual) & 2018 (projected) are from MTA 2019 Preliminary Budget, July Financial Plan 2019-2022, Vol 2, July 2018, p 418/521. 2016 actual is from MTA table, \"MTA New York City Transit Bus Ridership at a Glance,\" http://web.mta.info/nyct/facts/ridership/, whose 2017 figure matches that shown here.",null,null,null,null,null,null,2017,602620356,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,2018,574015000,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Bus ridership includes all passengers who board buses using a valid MetroCard, cash, transfer, Select Bus Service ticket, or pass. Ridership does not include employees, non-revenue passengers (e.g., children under 44” tall traveling with an adult), and B42 riders boarding inside the paid zone of the Rockaway Parkway L subway station. ",null,null,null,null,null,null,null,"Data in this block, as well as text (slightly abridged), is from http://mta.info/nyct/facts/ridership/index.htm, accessed 8-June-2013.",null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Average weekday, Saturday, and Sunday ridership includes every weekday, Saturday, and Sunday in year, except major holidays and days when subway system was closed or operated fare-free. Average weekend ridership is two-day sum of average Saturday plus average Sunday ridership. Ridership on major holidays (New Year’s Day, Presidents Day, Memorial Day, Independence Day, Labor Day, Thanksgiving, and Christmas) is included only in annual total.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"2017 bus ridership at a glance ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"(used only to derive weekday vs. weekend shares)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Annual (000)",null,{"$f":"J16/1000","v":602620.35600000003},null,"%'s at right are weekday, Sat. and Sun./holiday shares of annual totals for 2017. 2nd column is normalized by sum of 1st.",null,{"$f":"SUM(H30:H32)","v":0.99561493737526519},{"$f":"SUM(I30:I32)","v":1},null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Average Weekday",null,1923993,null,null,null,{"$f":"D30*wkday_per_yr/($D$29*1000)","v":0.79817789958625296},{"$f":"H30/$H$29","v":0.80169337524252648},null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Average Saturday",null,1168978,null,null,null,{"$f":"D31*52/($D$29*1000)","v":0.10087089723202115},{"$f":"H31/$H$29","v":0.10131517059993757},null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Average Sunday",null,923694,null,null,null,{"$f":"D32*(wkend_per_yr-52)/($D$29*1000)","v":9.6566140556991073E-2},{"$f":"H32/$H$29","v":9.6991454157535961E-2},null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,2017,null,null,{"$f":"ROW()","v":34}]
[null,"Bus Ridership (thousands), 2017",null,null,null,null,null,null,null,null,null,{"$f":"J16/1000","v":602620.35600000003},null,null,{"$f":"ROW()","v":35}]
[null,{"$f":"CONCATENATE(\"Copied from Cell J\",O16, \".\")","v":"Copied from Cell J16."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Adjustment factor to normalize ridership to full fare",null,null,null,null,null,null,null,null,null,0.8,null,null,{"$f":"ROW()","v":37}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate. Figure in 'Transit' worksheet, Row \",Transit!O110, \" is slightly lower.\")","v":"Komanoff estimate. Figure in 'Transit' worksheet, Row 110 is slightly lower."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Adjusted (full-fare equivalent) bus ridership, millions:",null,null,null,null,null,null,null,null,null,{"$f":"L35*L37/1000","v":482.09628480000003},null,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O35, \" and \",O37, \".\")","v":"Product of Rows 35 and 37."},null,null,null,null,null,null,null,null,2016,2017,2018,null,{"$f":"ROW()","v":40}]
[null,"Bus revenue, millions",null,null,null,null,null,null,null,null,966.34400000000005,952.36300000000006,928.52499999999998,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Source is same as in Rows \",O16, \"-\",O18, \".\")","v":"Source is same as in Rows 16-18."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Normalized bus fare, all trips (no distinction betw work and non-work trips)",null,null,null,null,null,null,null,null,null,{"$f":"L41/L39","v":1.9754622261714638},null,null,{"$f":"ROW()","v":44}]
[null,{"$f":"CONCATENATE(\"Row \",O41, \" divided by Row \",O39, \".\")","v":"Row 41 divided by Row 39."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Borough breakdown of NYC Transit Bus Ridership (figures include express buses)",null,null,null,null,null,null,null,null,null,"Shares w/o adjustments",null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,"With adjustments","Shares",null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Brooklyn",null,null,null,null,null,null,184234680,{"$f":"I49/$I$55","v":0.30572262978783277},null,{"$f":"I49/($I$55-$I$54)","v":0.30641413421310659},null,null,{"$f":"ROW()","v":49}]
[null,"Bronx",null,null,null,null,null,null,152042634,0.25230251929956377,null,0.25287319445280465,null,null,{"$f":"ROW()","v":50}]
[null,"Manhattan",null,null,null,null,null,null,118715667,0.19699909871614094,null,0.19744468479732735,null,null,{"$f":"ROW()","v":51}]
[null,"Queens",null,null,null,null,null,null,109119467,0.18107497683002266,null,0.18148454463948185,null,null,{"$f":"ROW()","v":52}]
[null,"Staten Island",null,null,null,null,null,null,37147936,6.1644011242129364E-2,null,6.1783441897279565E-2,null,null,{"$f":"ROW()","v":53}]
[null,"Adjustments",null,null,null,null,null,null,1359972,2.2567641243104639E-3,null,2.2618686282846801E-3,null,null,{"$f":"ROW()","v":54}]
[null,"Total",null,null,null,null,null,null,602620356,1,null,1.0022618686282847,null,null,{"$f":"ROW()","v":55}]
[null,"Source: http://web.mta.info/nyct/facts/ridership/ridership_bus_annual.htm",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"B. Estimate Ridership Changes due to Bus Fare and Service Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Elasticities",null,null,null,null,null,"Work","Non-work","Combined",null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Breakdown of bus trips between work and non-work trips.",null,null,null,null,null,0.4,{"$f":"1-H61","v":0.6},"(We use these.)",null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Komanoff estimates. Note that percentages pertain to all bus trips, not merely bus trips into CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Price-elasticity",null,"First two columns draw on parameters specified in Elasticities tab. Third column is weighted averages.",null,null,null,{"$f":"Elasticities!G64","v":-0.09},{"$f":"Elasticities!H64","v":-0.23400000000000001},{"$f":"SUMPRODUCT($H$61:$I$61,H63:I63)","v":-0.1764},null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Time-elasticity",null,null,null,null,null,{"$f":"Elasticities!G65","v":-0.5},{"$f":"Elasticities!H65","v":-0.55000000000000004},{"$f":"SUMPRODUCT($H$61:$I$61,H64:I64)","v":-0.53},null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,"7 Days","Weekdays","Weekends","Saturdays","Sundays",null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"2017 Ridership, millions",null,null,null,null,null,{"$f":"L35/1000","v":602.62035600000002},{"$f":"$I$30*H68","v":483.11674719149289},{"$f":"H68-I68","v":119.50360880850712},{"$f":"$I$31/($I$31+$I$32)*J68","v":61.054584175135126},{"$f":"J68-K68","v":58.449024633371998},null,null,{"$f":"ROW()","v":68}]
[null,"Of which this many pay on pay-per-ride basis",null,null,null,null,null,{"$f":"Transit!$I$66*H68","v":312.69970272840004},{"$f":"Transit!$I$66*I68","v":250.68928011766567},{"$f":"Transit!$I$66*J68","v":62.010422610734352},{"$f":"Transit!$I$66*K68","v":31.681223728477619},{"$f":"Transit!$I$66*L68","v":30.32919888225673},null,null,{"$f":"ROW()","v":69}]
[null,"And of which this many pay with Unlimited Farecards",null,null,null,null,null,{"$f":"(1-Transit!$I$66)*H68","v":289.92065327159997},{"$f":"(1-Transit!$I$66)*I68","v":232.42746707382722},{"$f":"(1-Transit!$I$66)*J68","v":57.493186197772772},{"$f":"(1-Transit!$I$66)*K68","v":29.373360446657507},{"$f":"(1-Transit!$I$66)*L68","v":28.119825751115268},null,null,{"$f":"ROW()","v":70}]
[null,"2017 Paying Ridership, millions",null,null,null,null,null,{"$f":"L39","v":482.09628480000003},{"$f":"$I$30*H71","v":386.49339775319436},{"$f":"H71-I71","v":95.602887046805677},{"$f":"$I$31/($I$31+$I$32)*J71","v":48.843667340108091},{"$f":"J71-K71","v":46.759219706697586},null,null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"7 Days figures are from Rows \",O15, \" and \",O39, \". Weekdays and Weekends figures apply weekday/all days ratio from Cell I\",O30, \". Saturdays/Sundays apply splits from Cells I\",O31, \" and I\",O32, \". Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row \",Transit!O64, \".\")","v":"7 Days figures are from Rows 15 and 39. Weekdays and Weekends figures apply weekday/all days ratio from Cell I30. Saturdays/Sundays apply splits from Cells I31 and I32. Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row 64."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"2017 Baseline Fare",null,null,null,null,null,{"$f":"$L$44","v":1.9754622261714638},{"$f":"$L$44","v":1.9754622261714638},{"$f":"$L$44","v":1.9754622261714638},{"$f":"$L$44","v":1.9754622261714638},{"$f":"$L$44","v":1.9754622261714638},null,null,{"$f":"ROW()","v":74}]
[null,{"$f":"CONCATENATE(\"From Row \",O44, \".\")","v":"From Row 44."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Pay Per Riders: Impact of Fare Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"2017 Baseline Fare as experienced by Bus Riders who pay on per-ride basis",null,null,null,null,null,{"$f":"Transit!$I$24*(Transit!$I$36*(1/(1+Transit!$I$33))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"Transit!$I$24*(Transit!$I$36*(1/(1+Transit!$I$33))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"Transit!$I$24*(Transit!$I$36*(1/(1+Transit!$I$33))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"Transit!$I$24*(Transit!$I$36*(1/(1+Transit!$I$33))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"Transit!$I$24*(Transit!$I$36*(1/(1+Transit!$I$33))+1-Transit!$I$36)","v":2.6572725958758916},null,null,{"$f":"ROW()","v":78}]
[null,{"$f":"CONCATENATE(\"Average of nominal and discounted fares, wghtd by share of pay-per-riders who do/don't use discounted media, from Row \",Transit!O36, \" of 'Transit' worksheet. Former enjoy fare discount for qualifying pay-per-ride Metrocards shown in Row \",Transit!O33, \" of 'Transit' sheet. Both shares pivot off nominal per-ride fare shown in Row \",Transit!O24, \" of that sheet.\")","v":"Average of nominal and discounted fares, wghtd by share of pay-per-riders who do/don't use discounted media, from Row 36 of 'Transit' worksheet. Former enjoy fare discount for qualifying pay-per-ride Metrocards shown in Row 33 of 'Transit' sheet. Both shares pivot off nominal per-ride fare shown in Row 24 of that sheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Proposed Nominal Fare",null,null,null,null,null,null,{"$f":"'Policy Levers'!K234","v":2.75},null,{"$f":"'Policy Levers'!K236","v":2.75},{"$f":"'Policy Levers'!K238","v":2.75},null,null,{"$f":"ROW()","v":81}]
[null,{"$f":"CONCATENATE(\"From 'Policy Levers,' Rows \",'Policy Levers'!O234, \", \",'Policy Levers'!O236, \" and \",'Policy Levers'!O238, \".\")","v":"From 'Policy Levers,' Rows 234, 236 and 238."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Proposed Fare to be experienced by Bus Riders who pay on per-ride basis",null,null,null,null,null,null,{"$f":"I81*(Transit!$I$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"SUMPRODUCT(K83:L83,K71:L71)/SUM(K71:L71)","v":2.6572725958758916},{"$f":"K81*(Transit!$I$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$I$36)","v":2.6572725958758916},{"$f":"L81*(Transit!$I$36*(1/(1+'Policy Levers'!$K$214))+1-Transit!$I$36)","v":2.6572725958758916},null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Adjusts nominal fare from Row \",O81, \" w/ pay-per-ride discount inputted in 'Policy Levers' Row \",'Policy Levers'!O214, \" and % of pay-per-rides recv'ing discount from 'Transit' Row \",Transit!O36, \".\")","v":"Adjusts nominal fare from Row 81 w/ pay-per-ride discount inputted in 'Policy Levers' Row 214 and % of pay-per-rides recv'ing discount from 'Transit' Row 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Estimated ridership change among Pay-Per-Riders, from fare change",null,null,null,null,null,null,{"$f":"IF(I83=0,$J$63*Transit!$I$73*(I83-I78)/I78,MINA((I83/I78)^$J$63,$J$63*(I83-I78)/I78+1)-1)","v":0},null,{"$f":"IF(K83=0,$J$63*Transit!$I$73*(K83-K78)/K78,MINA((K83/K78)^$J$63,$J$63*(K83-K78)/K78+1)-1)","v":0},{"$f":"IF(L83=0,$J$63*Transit!$I$73*(L83-L78)/L78,MINA((L83/L78)^$J$63,$J$63*(L83-L78)/L78+1)-1)","v":0},null,null,{"$f":"ROW()","v":85}]
[null,{"$f":"CONCATENATE(\"Results in Row \",O85, \" draw on wghted-avg price-elasticities in Row \", $O$63, \". Mathematical function uses 'IF' statement to accommodate possible zero value (if free fare).\")","v":"Results in Row 85 draw on wghted-avg price-elasticities in Row 63. Mathematical function uses 'IF' statement to accommodate possible zero value (if free fare)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Change in Pay-Per-Riders, resulting from fare change, millions",null,null,null,null,null,null,{"$f":"I69*I85","v":0},null,{"$f":"K69*K85","v":0},{"$f":"L69*L85","v":0},null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Product of % increase in Row \",O85,\" and baseline pay-per-rides figures in Row \",O69, \".\")","v":"Product of % increase in Row 85 and baseline pay-per-rides figures in Row 69."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Unlimited Farecard Riders: Impact of Fare Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"2017 Baseline Fare as experienced by Riders who pay with Unlimiteds",null,null,null,null,null,{"$f":"(H74-H78*Transit!$I$66)/(1-Transit!$I$66)","v":1.2400820539835036},{"$f":"(I74-I78*Transit!$I$66)/(1-Transit!$I$66)","v":1.2400820539835036},{"$f":"(J74-J78*Transit!$I$66)/(1-Transit!$I$66)","v":1.2400820539835036},{"$f":"(K74-K78*Transit!$I$66)/(1-Transit!$I$66)","v":1.2400820539835036},{"$f":"(L74-L78*Transit!$I$66)/(1-Transit!$I$66)","v":1.2400820539835036},null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Solved algebraically with Rows \",O74, \" and \",O78, \" and % of riders who pay on per-ride basis from Row \",Transit!$O$66, \" of 'Transit' worksheet.\")","v":"Solved algebraically with Rows 74 and 78 and % of riders who pay on per-ride basis from Row 66 of 'Transit' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Proposed Fare to be experienced by Bus Riders who pay with Unlimiteds",null,null,null,null,null,null,{"$f":"I91*(1+'Policy Levers'!$K$211)","v":1.2400820539835036},null,{"$f":"K91*(1+'Policy Levers'!$K$211)","v":1.2400820539835036},{"$f":"L91*(1+'Policy Levers'!$K$211)","v":1.2400820539835036},null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O91, \" and factor calculated from assumed percentage change in unlimited fares from 'Policy Levers' tab, Row \",'Policy Levers'!O211, \".\")","v":"Product of Row 91 and factor calculated from assumed percentage change in unlimited fares from 'Policy Levers' tab, Row 211."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Estimated ridership change among Unlimited Fare Riders, from fare change",null,null,null,null,null,null,{"$f":"IF(I93=0,$J$63*(I93-I91)/I91,MINA((I93/I91)^$J$63,$J$63*(I93-I91)/I91+1)-1)","v":0},null,{"$f":"IF(K93=0,$J$63*(K93-K91)/K91,MINA((K93/K91)^$J$63,$J$63*(K93-K91)/K91+1)-1)","v":0},{"$f":"IF(L93=0,$J$63*(L93-L91)/L91,MINA((L93/L91)^$J$63,$J$63*(L93-L91)/L91+1)-1)","v":0},null,null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Results in Row \",O95, \" draw on wghted-avg price-elasticities in Row \", $O$63, \". Mathematical function uses 'IF' statement to accommodate possible zero value (if free fare).\")","v":"Results in Row 95 draw on wghted-avg price-elasticities in Row 63. Mathematical function uses 'IF' statement to accommodate possible zero value (if free fare)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Change in Unlimited-Fare Riders, resulting from fare change, millions",null,null,null,null,null,null,{"$f":"I70*I95","v":0},null,{"$f":"K70*K95","v":0},{"$f":"L70*L95","v":0},null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Product of % increase in Row \",O95,\" and baseline unlimited rides figures in Row \",O70, \".\")","v":"Product of % increase in Row 95 and baseline unlimited rides figures in Row 70."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"All Riders: Impact of Travel-Time (Service) Changes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Reduxn in bus travel time from (i) lesser traffic, (ii) free fare (if app.), (iii) more service",null,null,null,null,null,null,{"$f":"1-(1-'Bus Boarding'!$J$160)*(1+Transit!$I$381)","v":2.6240846561797482E-2},null,{"$f":"1-(1-'Bus Boarding'!$J$160)*(1+Transit!$I$381)","v":2.6240846561797482E-2},{"$f":"1-(1-'Bus Boarding'!$J$160)*(1+Transit!$I$381)","v":2.6240846561797482E-2},null,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Results in Row \",O101, \" draw on (i)+(ii) combined traffic and free-fare (if applicable) results calculated in 'Bus Boarding' worksheet, Row \",'Bus Boarding'!AG160, \" and (iii) est'd system-avg duration change from 'Transit' worksheet, Row \",Transit!O381, \". Calculation uses complements to avoid possible double-counting.\")","v":"Results in Row 101 draw on (i)+(ii) combined traffic and free-fare (if applicable) results calculated in 'Bus Boarding' worksheet, Row 160 and (iii) est'd system-avg duration change from 'Transit' worksheet, Row 381. Calculation uses complements to avoid possible double-counting."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Estimated ridership change due to reduced bus travel times (pertains to all riders)",null,null,null,null,null,null,{"$f":"(1-I101)^$J$64-1","v":1.4193159137279254E-2},null,{"$f":"(1-K101)^$J$64-1","v":1.4193159137279254E-2},{"$f":"(1-L101)^$J$64-1","v":1.4193159137279254E-2},null,null,{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Standard elasticity calculation, with one minus Row \",O101, \",exponentiated to the wghtd-avg time-elasticity power in Row \",O64, \".\")","v":"Standard elasticity calculation, with one minus Row 101,exponentiated to the wghtd-avg time-elasticity power in Row 64."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Change in All Bus Riders, resulting from service changes, millions",null,null,null,null,null,null,{"$f":"I104*I68","v":6.8569528747735689},null,{"$f":"K104*K68","v":0.86655742925810453},{"$f":"L104*L68","v":0.82957630804020399},null,null,{"$f":"ROW()","v":106}]
[null,{"$f":"CONCATENATE(\"Product of % increase in Row \",O104,\" and baseline all rides figures in Row \",O68, \".\")","v":"Product of % increase in Row 104 and baseline all rides figures in Row 68."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Of which this many changes are rides paid on pay-per-ride basis",null,null,null,null,null,null,{"$f":"Transit!$I$66*I106","v":3.5580728467200049},null,{"$f":"Transit!$I$66*K106","v":0.44965665004203048},{"$f":"Transit!$I$66*L106","v":0.43046714624206189},null,null,{"$f":"ROW()","v":108}]
[null,"And of which this many changes are rides paid with Unlimited Farecards",null,null,null,null,null,null,{"$f":"(1-Transit!$I$66)*I106","v":3.298880028053564},null,{"$f":"(1-Transit!$I$66)*K106","v":0.41690077921607405},{"$f":"(1-Transit!$I$66)*L106","v":0.3991091617981421},null,null,{"$f":"ROW()","v":109}]
[null,{"$f":"CONCATENATE(\"Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row \",Transit!O$62, \".\")","v":"Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row 62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Aggregate the Above Changes in Bus Ridership",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Change in Pay-Per-Rides, millions",null,null,null,null,null,{"$f":"SUM(I113:L113)","v":4.4381966430040976},{"$f":"I87+I108","v":3.5580728467200049},null,{"$f":"K87+K108","v":0.44965665004203048},{"$f":"L87+L108","v":0.43046714624206189},null,null,{"$f":"ROW()","v":113}]
[null,{"$f":"CONCATENATE(\"Sum of changes from fare change in Row \",O87,\" and from service changes in Row \",O108, \".\")","v":"Sum of changes from fare change in Row 87 and from service changes in Row 108."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Change in Unlimited Farecard Rides, millions",null,null,null,null,null,{"$f":"SUM(I115:L115)","v":4.1148899690677796},{"$f":"I97+I109","v":3.298880028053564},null,{"$f":"K97+K109","v":0.41690077921607405},{"$f":"L97+L109","v":0.3991091617981421},null,null,{"$f":"ROW()","v":115}]
[null,{"$f":"CONCATENATE(\"Sum of changes from fare change in Row \",O97,\" and from service changes in Row \",O109, \".\")","v":"Sum of changes from fare change in Row 97 and from service changes in Row 109."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Changes in All Fare-Media Rides, millions",null,null,null,null,null,{"$f":"SUM(I117:L117)","v":8.553086612071878},{"$f":"I113+I115","v":6.8569528747735689},null,{"$f":"K113+K115","v":0.86655742925810453},{"$f":"L113+L115","v":0.82957630804020399},null,null,{"$f":"ROW()","v":117}]
[null,{"$f":"CONCATENATE(\"Sum of changes from pay-per-rides in Row \",O113,\" and from unlimiteds in Row \",O115, \".\")","v":"Sum of changes from pay-per-rides in Row 113 and from unlimiteds in Row 115."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"C. Add Further Increase due to Auto and Taxi Trips Tolled off the Road",null,null,null,null,null,"7 Days","Weekdays","Weekends","Saturdays","Sundays",null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"New transit trips due to cordon toll that will be accommodated on buses, per day",null,null,null,null,null,null,{"$f":"Subways!AN373","v":6165.3747502401948},null,{"$f":"I122*'Motor Vs Weekends'!N983/'Motor Vs'!N983","v":3088.4560936359871},{"$f":"K122","v":3088.4560936359871},null,null,{"$f":"ROW()","v":122}]
[null,{"$f":"CONCATENATE(\"Weekday fig. is from 'Subways', Row \",Subways!O373,\", derived in section est'ing new transit trips from 'tolled-off' car trips (lion's share of which are assigned to subways). Weekend fig. prorates that by ratio of tolled-off m.v. trips on wknds to that on wkdays, using Row \",'Motor Vs'!O983, \" figures from 'Motor Vs' and 'Motor Vs Weekends' tabs.\")","v":"Weekday fig. is from 'Subways', Row 373, derived in section est'ing new transit trips from 'tolled-off' car trips (lion's share of which are assigned to subways). Weekend fig. prorates that by ratio of tolled-off m.v. trips on wknds to that on wkdays, using Row 983 figures from 'Motor Vs' and 'Motor Vs Weekends' tabs."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"New bus trips due to changes in taxi fares, per day",null,null,null,null,null,null,{"$f":"Taxis!I662","v":-8623.2607744340221},null,{"$f":"Taxis!L662","v":-4082.09554267778},{"$f":"K125","v":-4082.09554267778},null,null,{"$f":"ROW()","v":125}]
[null,{"$f":"CONCATENATE(\"Derived in 'Taxis' worksheet, Row \",Taxis!O662, \".\")","v":"Derived in 'Taxis' worksheet, Row 662."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"New bus trips due to combined cordon toll and changes in taxi fares, per day ",null,null,null,null,null,null,{"$f":"I122+I125","v":-2457.8860241938273},null,{"$f":"K122+K125","v":-993.63944904179289},{"$f":"L122+L125","v":-993.63944904179289},null,null,{"$f":"ROW()","v":127}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O122, \" and \",O125, \".\")","v":"Sum of Rows 122 and 125."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"New bus trips due to cordon toll & changes in taxi fares, per year (millions)",null,null,null,null,null,null,{"$f":"I127*weekday_per_yr/1000000","v":-0.61447150604845691},null,{"$f":"K127*Constants!J27/1000000","v":-5.166925135017323E-2},{"$f":"L127*Constants!J28/1000000","v":-6.2599285289632947E-2},null,null,{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O127, \" and applicable # of days in year from 'Constants' worksheet.\")","v":"Product of Row 127 and applicable # of days in year from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Of which this many changes are rides paid on pay-per-ride basis",null,null,null,null,null,null,{"$f":"Transit!$I$66*I129","v":-0.31884926448854428},null,{"$f":"Transit!$I$66*K129","v":-2.681117452560489E-2},{"$f":"Transit!$I$66*L129","v":-3.2482769136790539E-2},null,null,{"$f":"ROW()","v":131}]
[null,"And of which this many changes are rides paid with Unlimited Farecards",null,null,null,null,null,null,{"$f":"(1-Transit!$I$66)*I129","v":-0.29562224155991262},null,{"$f":"(1-Transit!$I$66)*K129","v":-2.485807682456834E-2},{"$f":"(1-Transit!$I$66)*L129","v":-3.0116516152842408E-2},null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row \",Transit!O$62, \".\")","v":"Splits to Pay-Per-Ride and Unlimiteds use Bus fare media splits in 'Transit' tab, Row 62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"D. Total Change in Bus Ridership (millions)",null,null,null,null,null,{"$f":"I135+J135","v":7.8243465693836178},{"$f":"I117+I129","v":6.2424813687251124},{"$f":"K135+L135","v":1.5818652006585072},{"$f":"K117+K129","v":0.81488817790793133},{"$f":"L117+L129","v":0.766977022750571},null,null,{"$f":"ROW()","v":135}]
[null,"Change in ridership, %",null,null,null,null,null,{"$f":"H135/H$68","v":1.2983873663543515E-2},{"$f":"I135/I$68","v":1.2921268834116366E-2},{"$f":"J135/J$68","v":1.3236965949650039E-2},{"$f":"K135/K$68","v":1.3346879499996658E-2},{"$f":"L135/L$68","v":1.3122152637473758E-2},null,null,{"$f":"ROW()","v":136}]
[null,{"$f":"CONCATENATE(\"Changes for Weekdays, Sat and Sun are sum of Rows \",O117, \" and \",O129, \". Changes for 7 Days and Weekends are sums of applicable columns.\")","v":"Changes for Weekdays, Sat and Sun are sum of Rows 117 and 129. Changes for 7 Days and Weekends are sums of applicable columns."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Of which these amounts are attributable to the changed bus fares, millions",null,null,null,null,null,{"$f":"I138+J138","v":0},{"$f":"I87+I97","v":0},{"$f":"K138+L138","v":0},{"$f":"K87+K97","v":0},{"$f":"L87+L97","v":0},null,null,{"$f":"ROW()","v":138}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O87, \" and \",O97, \".\")","v":"Sum of Rows 87 and 97."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"And of which these amounts are attributable to other factors",null,null,null,null,null,{"$f":"I140+J140","v":7.8243465693836178},{"$f":"I135-I138","v":6.2424813687251124},{"$f":"K140+L140","v":1.5818652006585072},{"$f":"K135-K138","v":0.81488817790793133},{"$f":"L135-L138","v":0.766977022750571},null,null,{"$f":"ROW()","v":140}]
[null,{"$f":"CONCATENATE(\"Difference between total changes in Row \",O135, \" and changes allocable to changed bus fares in Row \",O138, \".\")","v":"Difference between total changes in Row 135 and changes allocable to changed bus fares in Row 138."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Of which these percents are attributable to the changed bus fares",null,null,null,null,null,null,{"$f":"I138/I135","v":0},{"$f":"J138/J135","v":0},{"$f":"K138/K135","v":0},{"$f":"L138/L135","v":0},null,null,{"$f":"ROW()","v":142}]
[null,{"$f":"CONCATENATE(\"Quotient of Row \",O138, \" to Row \",114, \".\")","v":"Quotient of Row 138 to Row 114."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Total projected ridership, millions",null,null,null,null,null,{"$f":"H68+H135","v":610.44470256938359},{"$f":"I68+I135","v":489.35922856021801},{"$f":"K145+L145","v":121.08547400916564},{"$f":"K68+K135","v":61.869472353043058},{"$f":"L68+L135","v":59.216001656122572},null,null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O68, \" and \",O135, \".\")","v":"Sum of Rows 68 and 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Of which this many rides will be paid on pay-per-ride basis",null,null,null,null,null,{"$f":"I147+J147","v":316.7597561632532},{"$f":"I69+I87+I108+I131","v":253.92850369989713},{"$f":"K147+L147","v":62.831252463356051},{"$f":"Transit!$I$66*K145","v":32.104069203994044},{"$f":"Transit!$I$66*L145","v":30.727183259362004},null,null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O69, \", \",O87, \", \",O108, \" and \",O131, \".\")","v":"Sum of Rows 69, 87, 108 and 131."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"And of which this many rides will be paid with Unlimited Farecards",null,null,null,null,null,{"$f":"I149+J149","v":293.68494640613045},{"$f":"I70+I97+I109+I132","v":235.43072486032085},{"$f":"K149+L149","v":58.254221545809585},{"$f":"Transit!$Z$66*K145","v":29.765403149049018},{"$f":"Transit!$Z$66*L145","v":28.488818396760571},null,null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O70, \", \",O97, \", \",O109, \" and \",O132, \".\")","v":"Sum of Rows 70, 97, 109 and 132."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"E. Bus Farebox Revenue",null,null,null,null,null,"7 Days","Weekdays","Weekends","Saturdays","Sundays",null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Baseline",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Baseline ($ millions)",null,null,null,null,null,{"$f":"L39*L44","v":952.36300000000006},{"$f":"I68/$H$68*H155","v":763.50310792609832},{"$f":"J68/$H$68*H155","v":188.85989207390179},{"$f":"K68/$J$68*$J$155","v":96.488819818068379},{"$f":"L68/$J$68*$J$155","v":92.371072255833411},null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"7 Days figure could have been copied from Row \",O41, \" but was instead calc's as product of Rows \",O39, \" and \",O44, \", as check. We then subdivide that figure into Weekdays / Weekends, and latter into Sat / Sun, by prorating from breakdowns in Row \",O68, \".\")","v":"7 Days figure could have been copied from Row 41 but was instead calc's as product of Rows 39 and 44, as check. We then subdivide that figure into Weekdays / Weekends, and latter into Sat / Sun, by prorating from breakdowns in Row 68."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Baseline fares paying on per-ride basis (normalized), millions",null,null,null,null,null,{"$f":"I158+J158","v":250.15976218272004},{"$f":"Transit!$I$66*I71","v":200.55142409413256},{"$f":"K158+L158","v":49.608338088587473},{"$f":"Transit!$I$66*K71","v":25.344978982782091},{"$f":"Transit!$I$66*L71","v":24.263359105805378},null,null,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Product of 'Transit' worksheet Row \",Transit!O64, \" denoting % bus riders who pay on per-ride basis, and applicable figure from Row \",O71, \".\")","v":"Product of 'Transit' worksheet Row 64 denoting % bus riders who pay on per-ride basis, and applicable figure from Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Baseline revenue from per-ride-paying fares, millions",null,null,null,null,null,{"$f":"H158*H78","v":664.74268063897216},{"$f":"I158*I78","v":532.9198033092224},{"$f":"J158*J78","v":131.8228773297497},{"$f":"K158*K78","v":67.348518093997285},{"$f":"L158*L78","v":64.474359235752402},null,null,{"$f":"ROW()","v":160}]
[null,{"$f":"CONCATENATE(\"Product of fare quantities in Row \",O158, \" and fare levels in Row \",O78, \".\")","v":"Product of fare quantities in Row 158 and fare levels in Row 78."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Baseline fares paying w/ unlimited cards (normalized), millions",null,null,null,null,null,{"$f":"I162+J162","v":231.93652261727999},{"$f":"(1-Transit!$I$66)*Buses!I71","v":185.9419736590618},{"$f":"K162+L162","v":45.994548958218203},{"$f":"(1-Transit!$I$66)*K71","v":23.498688357325999},{"$f":"(1-Transit!$I$66)*L71","v":22.495860600892208},null,null,{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"Product of complement of figure in 'Transit' worksheet Row \",Transit!O62, \" and applicable figure from Row \",O71, \".\")","v":"Product of complement of figure in 'Transit' worksheet Row 62 and applicable figure from Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"Baseline revenue from non-per-ride-paying fares, millions",null,null,null,null,null,{"$f":"H162*H91","v":287.6203193610279},{"$f":"I162*I91","v":230.58330461687586},{"$f":"J162*J91","v":57.037014744152046},{"$f":"K162*K91","v":29.140301724071065},{"$f":"L162*L91","v":27.896713020080981},null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Product of fare quantities in Row \",O162, \" and baseline fare in Row \",O91, \".\")","v":"Product of fare quantities in Row 162 and baseline fare in Row 91."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Total baseline revenue, millions",null,null,null,null,null,{"$f":"H160+H164","v":952.36300000000006},{"$f":"I160+I164","v":763.50310792609821},{"$f":"J160+J164","v":188.85989207390173},{"$f":"K160+K164","v":96.48881981806835},{"$f":"L160+L164","v":92.371072255833383},null,null,{"$f":"ROW()","v":166}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O160, \" and \",O164, \".\")","v":"Sum of Rows 160 and 164."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Projected",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"Projected fares paying on per-ride basis (normalized), millions",null,null,null,null,null,{"$f":"I170+J170","v":249.13735191813595},{"$f":"I147*$L$37","v":203.14280295991773},{"$f":"J162+J138","v":45.994548958218203},{"$f":"K147*$L$37","v":25.683255363195236},{"$f":"L147*$L$37","v":24.581746607489606},null,null,{"$f":"ROW()","v":170}]
[null,{"$f":"CONCATENATE(\"Product of pay-per-riders in Row \",O147, \" and normalizing factor in Row \",O$37, \".\")","v":"Product of pay-per-riders in Row 147 and normalizing factor in Row 37."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"Projected revenue from per-ride-paying fares, millions",null,null,null,null,null,{"$f":"I172+J172","v":673.37361562315391},{"$f":"I170*I83","v":539.80580335480533},{"$f":"K172+L172","v":133.56781226834852},{"$f":"K170*K83","v":68.247410649501219},{"$f":"L170*L83","v":65.320401618847299},null,null,{"$f":"ROW()","v":172}]
[null,{"$f":"CONCATENATE(\"Product of fare quantities in Row \",O170, \" and fare levels to be experienced by those riders, shown in Row \",O83, \".\")","v":"Product of fare quantities in Row 170 and fare levels to be experienced by those riders, shown in Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"Projected fares paying w/ unlimited cards (normalized), millions",null,null,null,null,null,{"$f":"I174+J174","v":234.94795712490438},{"$f":"I149*$L$37","v":188.3445798882567},{"$f":"K174+L174","v":46.603377236647674},{"$f":"K149*$L$37","v":23.812322519239217},{"$f":"L149*$L$37","v":22.791054717408457},null,null,{"$f":"ROW()","v":174}]
[null,{"$f":"CONCATENATE(\"Product of unlimited farecard riders in Row \",O149, \" and normalizing factor in Row \",O$37, \".\")","v":"Product of unlimited farecard riders in Row 149 and normalizing factor in Row 37."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"Projected revenue from non-per-ride-paying fares",null,null,null,null,null,{"$f":"I176+J176","v":291.35474525067957},{"$f":"I174*I93","v":233.56273348448946},{"$f":"K176+L176","v":57.7920117661901},{"$f":"K174*K93","v":29.529233819775804},{"$f":"L174*L93","v":28.2627779464143},null,null,{"$f":"ROW()","v":176}]
[null,{"$f":"CONCATENATE(\"Product of fare quantities in Row \",O174, \" and fare levels to be experienced by those riders, shown in Row \",O93, \".\")","v":"Product of fare quantities in Row 174 and fare levels to be experienced by those riders, shown in Row 93."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"Projected total revenue ",null,null,null,null,null,{"$f":"H172+H176","v":964.72836087383348},{"$f":"I172+I176","v":773.36853683929485},{"$f":"J172+J176","v":191.35982403453863},{"$f":"K172+K176","v":97.776644469277016},{"$f":"L172+L176","v":93.583179565261602},null,null,{"$f":"ROW()","v":178}]
[null,{"$f":"CONCATENATE(\"Sum of two revenue components, from Rows \",O172, \" and \",O176, \".\")","v":"Sum of two revenue components, from Rows 172 and 176."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"Of which this is from new rides attracted by changed per-ride fares, millions",null,null,null,null,null,{"$f":"I180+J180","v":0},{"$f":"I87*I83","v":0},{"$f":"K180+L180","v":0},{"$f":"K87*K83","v":0},{"$f":"L87*L83","v":0},null,null,{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"Product of increased pay-per-ridership due to fare change in Row \",O87, \" and fare levels for those riders, shown in Row \",O83, \".\")","v":"Product of increased pay-per-ridership due to fare change in Row 87 and fare levels for those riders, shown in Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Of which this is from new rides attracted by changed unlimited fares, millions",null,null,null,null,null,{"$f":"I182+J182","v":0},{"$f":"I97*I93","v":0},{"$f":"K182+L182","v":0},{"$f":"K97*K93","v":0},{"$f":"L97*L93","v":0},null,null,{"$f":"ROW()","v":182}]
[null,{"$f":"CONCATENATE(\"Product of increased unlimited rides due to fare change in Row \",O97, \" and fare levels for those riders, shown in Row \",O93, \".\")","v":"Product of increased unlimited rides due to fare change in Row 97 and fare levels for those riders, shown in Row 93."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"And of which these are from all new rides attracted by changed fares, millions",null,null,null,null,null,{"$f":"I184+J184","v":0},{"$f":"I180+I182","v":0},{"$f":"K184+L184","v":0},{"$f":"K180+K182","v":0},{"$f":"L180+L182","v":0},null,null,{"$f":"ROW()","v":184}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O180, \" and \",O182, \".\")","v":"Sum of Rows 180 and 182."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Of which this is from new pay-per-rides attracted by changed service, millions",null,null,null,null,null,{"$f":"I186+J186","v":11.793498314563164},{"$f":"I108*I83","v":9.4547694697191904},{"$f":"K186+L186","v":2.3387288448439745},{"$f":"K108*K83","v":1.1948602937100437},{"$f":"L108*L83","v":1.1438685511339308},null,null,{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"Product of increased pay-per-ridership due to service changes in Row \",O108, \" and fare levels for those riders, shown in Row \",O83, \".\")","v":"Product of increased pay-per-ridership due to service changes in Row 108 and fare levels for those riders, shown in Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Of which this is from new unlimited rides attracted by changed service, millions",null,null,null,null,null,{"$f":"I188+J188","v":5.1028012047576876},{"$f":"I109*I93","v":4.0908819210338212},{"$f":"K188+L188","v":1.0119192837238669},{"$f":"K109*K93","v":0.51699117459759225},{"$f":"L109*L93","v":0.4949281091262745},null,null,{"$f":"ROW()","v":188}]
[null,{"$f":"CONCATENATE(\"Product of increased unlimited rides due to service changes in Row \",O109, \" and fare levels for those riders, shown in Row \",O93, \".\")","v":"Product of increased unlimited rides due to service changes in Row 109 and fare levels for those riders, shown in Row 93."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"And of which these are from all new rides attracted by changed service, millions",null,null,null,null,null,{"$f":"I190+J190","v":16.896299519320852},{"$f":"+I186+I188","v":13.545651390753012},{"$f":"K190+L190","v":3.3506481285678413},{"$f":"+K186+K188","v":1.711851468307636},{"$f":"+L186+L188","v":1.6387966602602053},null,null,{"$f":"ROW()","v":190}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O186, \" and \",O188, \".\")","v":"Sum of Rows 186 and 188."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Total revenue acct'd for by new rides attracted by all changes, millions",null,null,null,null,null,{"$f":"H184+H190","v":16.896299519320852},{"$f":"I184+I190","v":13.545651390753012},{"$f":"J184+J190","v":3.3506481285678413},{"$f":"K184+K190","v":1.711851468307636},{"$f":"L184+L190","v":1.6387966602602053},null,null,{"$f":"ROW()","v":192}]
[null,{"$f":"CONCATENATE(\"Sum of two revenue components, from Rows \",O184, \" and \",O190, \".\")","v":"Sum of two revenue components, from Rows 184 and 190."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Projected average fare (uses actual riders, i.e., not normalized)",null,null,null,null,null,{"$f":"H178/H145","v":1.5803697809371713},{"$f":"I178/I145","v":1.5803697809371713},{"$f":"J178/J145","v":1.5803697809371713},{"$f":"K178/K145","v":1.5803697809371711},{"$f":"L178/L145","v":1.5803697809371713},null,null,{"$f":"ROW()","v":194}]
[null,{"$f":"CONCATENATE(\"Ratio of Rows \",O178, \" (projected revenue) and \",O145, \" (actual ridership).\")","v":"Ratio of Rows 178 (projected revenue) and 145 (actual ridership)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Projected average fare, normalized",null,null,null,null,null,{"$f":"H194/$L$37","v":1.9754622261714641},{"$f":"I194/$L$37","v":1.9754622261714641},{"$f":"J194/$L$37","v":1.9754622261714641},{"$f":"K194/$L$37","v":1.9754622261714638},{"$f":"L194/$L$37","v":1.9754622261714641},null,null,{"$f":"ROW()","v":196}]
[null,{"$f":"CONCATENATE(\"Ratio of Rows \",O196, \" (average fare for all riders) and \",O37, \" (normalizing factor).\")","v":"Ratio of Rows 196 (average fare for all riders) and 37 (normalizing factor)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Bus Ridership, Ratio of Annual Amount to Average Weekday (One-Day) Amount",null,null,null,null,null,null,null,{"$f":"D29*1000/D30","v":313.21338279297277},null,null,null,null,{"$f":"ROW()","v":199}]
[null,{"$f":"CONCATENATE(\"Ratio of annual bus ridership in Cell J\",O15, \" to weekday ridership in Cell D \",O30, \".\")","v":"Ratio of annual bus ridership in Cell J15 to weekday ridership in Cell D 30."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Bus Ridership, Ratio of Annual Amount to Average Weekend One-Day Amount",null,null,null,null,null,null,null,{"$f":"J199*(I68/J68)*(wkend_per_yr/wkday_per_yr)","v":582.46416826255677},null,null,null,null,{"$f":"ROW()","v":201}]
[null,{"$f":"CONCATENATE(\"Calculated w/ simple algebra on Cell J\",O199, \", Row \",O68, \", and number of weekdays and weekends/holidays in year.\")","v":"Calculated w/ simple algebra on Cell J199, Row 68, and number of weekdays and weekends/holidays in year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"2. Baseline Data: Persons Arriving in Manhattan CBD by Bus, Weekdays, 2012",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205},null,"Persons Arriving in Manhattan CBD by Bus, Weekdays, 2007"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206},null,"(from NYMTC 2007 Hub-Bound report, included here for archival purposes only)"]
[null,null,"Hour beg.","60th St.","Bklyn","Queens","NJ","Total","Just NYC",null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208},null,"Hour beg.","60th St.","Bklyn","Queens","NJ","Total","Just NYC"]
[null,null,"Midnight",172,0,17,844,{"$f":"SUM(D209:G209)","v":1033},{"$f":"D209+E209+F209","v":189},null,"These data are hourly bus ridership (# of passengers) entering CBD on weekdays. Since these hourly splits apply to CBD-bound trips only, they're not ideal for estimating revenue impacts for the system as a whole. For that, it would be helpful to have systemwide hourly splits. Pending those, we employ these.",null,null,null,{"$f":"ROW()","v":209},null,"Midnight",347,0,151,1357,1854,{"$f":"R209+S209+T209","v":498}]
[null,null,"1 a.m.",36,0,13,562,611,{"$f":"D210+E210+F210","v":49},null,null,null,null,null,{"$f":"ROW()","v":210},null,"1 a.m.",82,20,44,784,929,{"$f":"R210+S210+T210","v":146}]
[null,null,"2 a.m.",28,0,1,289,318,29,null,null,null,null,null,{"$f":"ROW()","v":211},null,"2 a.m.",26,32,43,85,186,101]
[null,null,"3 a.m.",29,0,7,512,548,36,null,null,null,null,null,{"$f":"ROW()","v":212},null,"3 a.m.",30,0,43,76,149,73]
[null,null,"4 a.m.",73,27,12,951,1063,112,null,null,null,null,null,{"$f":"ROW()","v":213},null,"4 a.m.",95,145,43,1170,1453,283]
[null,null,"5 a.m.",590,515,64,7359,8528,1169,null,null,null,null,null,{"$f":"ROW()","v":214},null,"5 a.m.",511,1523,73,5712,7819,2107]
[null,null,"6 a.m.",2350,2341,1366,20903,26960,6057,null,null,null,null,null,{"$f":"ROW()","v":215},null,"6 a.m.",2241,4779,1704,18701,27426,8724]
[null,null,"7 a.m.",5233,5105,3688,33045,47071,14026,null,null,null,null,null,{"$f":"ROW()","v":216},null,"7 a.m.",5967,10135,4622,32757,53480,20724]
[null,null,"8 a.m.",5261,7280,4435,35052,52028,16976,null,null,null,null,null,{"$f":"ROW()","v":217},null,"8 a.m.",8981,8327,6991,35152,59451,24299]
[null,null,"9 a.m.",4551,3302,1210,21502,30565,9063,null,null,null,null,null,{"$f":"ROW()","v":218},null,"9 a.m.",4617,2171,1679,17514,25980,8467]
[null,null,"10 a.m.",2981,879,371,8753,12984,4231,null,null,null,null,null,{"$f":"ROW()","v":219},null,"10 a.m.",2635,608,1130,7698,12071,4373]
[null,null,"11 a.m.",2010,461,308,6022,8801,2779,null,null,null,null,null,{"$f":"ROW()","v":220},null,"11 a.m.",2397,360,951,5190,8897,3708]
[null,null,"12 noon",1995,271,138,4300,6704,2404,null,null,null,null,null,{"$f":"ROW()","v":221},null,"12 noon",2535,365,886,4007,7793,3786]
[null,null,"1 p.m.",1832,321,154,4498,6805,2307,null,null,null,null,null,{"$f":"ROW()","v":222},null,"1 p.m.",2308,347,967,4153,7775,3622]
[null,null,"2 p.m.",2094,249,178,4976,7497,2521,null,null,null,null,null,{"$f":"ROW()","v":223},null,"2 p.m.",2714,301,863,4873,8750,3878]
[null,null,"3 p.m.",2411,248,129,7162,9950,2788,null,null,null,null,null,{"$f":"ROW()","v":224},null,"3 p.m.",3068,443,968,6655,11134,4479]
[null,null,"4 p.m.",2783,275,126,9522,12706,3184,null,null,null,null,null,{"$f":"ROW()","v":225},null,"4 p.m.",2802,220,398,8937,12356,3420]
[null,null,"5 p.m.",2583,298,94,6689,9664,2975,null,null,null,null,null,{"$f":"ROW()","v":226},null,"5 p.m.",2795,150,375,6775,10095,3320]
[null,null,"6 p.m.",2008,57,57,5199,7321,2122,null,null,null,null,null,{"$f":"ROW()","v":227},null,"6 p.m.",2194,112,293,6898,9497,2599]
[null,null,"7 p.m.",1093,30,50,4759,5932,1173,null,null,null,null,null,{"$f":"ROW()","v":228},null,"7 p.m.",1215,113,403,5633,7364,1731]
[null,null,"8 p.m.",835,39,18,3044,3936,892,null,null,null,null,null,{"$f":"ROW()","v":229},null,"8 p.m.",938,49,246,3725,4958,1233]
[null,null,"9 p.m.",624,49,40,2278,2991,713,null,null,null,null,null,{"$f":"ROW()","v":230},null,"9 p.m.",715,32,230,2741,3718,977]
[null,null,"10 p.m.",558,53,34,1439,2084,645,null,null,null,null,null,{"$f":"ROW()","v":231},null,"10 p.m.",562,20,211,3550,4343,793]
[null,null,"11 p.m.",344,13,33,1414,1804,390,null,null,null,null,null,{"$f":"ROW()","v":232},null,"11 p.m.",484,5,231,2695,3415,720]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,"TOTAL",{"$f":"SUM(D209:D232)","v":42474},21813,12543,191074,267904,76830,null,null,null,null,null,{"$f":"ROW()","v":234},null,"TOTAL",{"$f":"SUM(R209:R232)","v":50259},30257,23545,186838,290893,104061]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,"Source: NYMTC, Hub-Bound Travel Report 2012, Table, \"Section A: Bus Transit By Sector, Summary, 2012-Inbound\" (p 53 of 96). Note drop-off from 2007 data shown at right, esp'ly for Brooklyn and Queens.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236},null,"Same source as 2012 data shown at left, except Hub-Bound 2007 report, and table from p. 61 of 104."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,"3. Improving Frequency of Bus Service: Cost-Benefit Calculations ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Difference btw sched'd end & start times for weekday tour with closest start time to 9 a.m. Fig. shown is avg for both directions. Premise is that 9-10 a.m. period most closely matches 24-h wghtd avg.",null,{"$f":"ROW()","v":241}]
[null,"This analysis, performed in late 2010 by urban planner (MS, Columbia Univ.) Josef Szende, develops metrics for estimating (i) the cost of increasing the frequency of NYC Transit bus service on selected lines, and (ii) the associated average reductions in waiting and travel times. The product of the analysis is a means of estimating average system-wide time savings and ridership increases per a given commitment (e.g., $100 million/year) in increased bus operations.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244},{"$f":"CONCATENATE(\"Sum of avg wait time from Col. J and actual travel time, which is calc'd/ w/ est'd distance from 'Transit' worksheet (Row \",Transit!O301, \") and speed from Col. N, here.\")","v":"Sum of avg wait time from Col. J and actual travel time, which is calc'd/ w/ est'd distance from 'Transit' worksheet (Row 301) and speed from Col. N, here."},null,null,null,null,{"$f":"CONCATENATE(\"Number of vehicle-hours that could be purchased for one million dollars, from 'Transit' worksheet (Cell K\",Transit!O336, \") div. by Col. T, here.\")","v":"Number of vehicle-hours that could be purchased for one million dollars, from 'Transit' worksheet (Cell K336) div. by Col. T, here."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245},null,null,null,null,null,null,null,null,null,"Rough allocation intended to distribute $50 million (an arbitrary total) among bus lines so as to maximize improvements in trip time."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"A. NYC Transit Bus Routes With Highest Annual Ridership",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"20 routes shown are most heavily used of the 194 local routes operated by NYC Transit excluding current BRT routes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,"From NYCT: \"2010 NYC Transit Bus Route Miles, as of June 29, 2010\" ",null,null,{"$f":"ROW()","v":250}]
[null,"Routes are sorted by Col. AG: Estimated weekday hrs saved per yr, from spending $1M/yr to expand service.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252},null,null,null,null,null,null,null,null,null,null,"Col. U multiplied allocation shown in by Col. Y.",null,null,null,null,null,"Col. AC x Col. D x weekdays/yr div. by 60"]
[null,"Ridership data are for 2009 and were extracted from MTA/NYCT website: http://www.mta.info/nyct/facts/ridership/ridership_bus.htm#top. Trips per weekday are calculated based on MTA NYCT schedules available at: http://mta.info/nyct/service/bus/bussch.htm.",null,null,null,null,null,null,null,null,null,null,null,"Col. L div. by Col. M div. by 60",{"$f":"ROW()","v":253},null,null,null,null,"Col. H x Col. S x weekdays/yr"]
[null,null,null,null,null,null,null,null,"1/2 of Col. G div. by Col. /H","1/2 of 60 div. by Col. I","Col. D x Col. J div. by 60",null,null,null,{"$f":"ROW()","v":254},null,"Col. D x Col. P div. by 60","Col. N div. by Col. L","Reciprocal of Col. R",null,null,"Col. I plus Col. U","1/2 of 60 div. by Col. V","Col. J less Col. W",null,null,"Col. I plus Col. Z","1/2 of 60 div. by Col. AA","Col. J less Col. AB","Col. D div. by Col. Q","Col. AC x\nCol. C",null,"Col. AF x\nCol. Y"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,"Aggregate wait time (hrs), typical weekday",null,"Rte duration (one way),  wkdays, minutes",null,{"$f":"ROW()","v":257},"Average trip duration, before, minutes","Aggregate trip time (hrs), typical weekday",null,"# new buses needed to add 1 tour per hr","Annual veh-hrs needed to add 1 tour per hr",null,null,null,null,null,null,null,null,"Reduxn in wait\nminutes with allocation","Aggregate time savings (hrs), typical weekday"]
[null,null,"Annual Riders","Riders on Average Weekday ","Riders on Average Saturday ","Riders on Average Sunday ","Trips Per Weekday, both ways","Hours of service per day","Buses per  weekday hr, 1 direction","Avg wkdy wait time, minutes",null,"Route length (one way), miles",null,"Weekday speed, mph",{"$f":"ROW()","v":258},null,null,"1-way tours made per bus per hr",null,null,"Tours/hr that $1M could add","Buses per  hr, 1 direxn, w/ $1M","Wait time, minutes, w/ $1M","Reduxn in wait time w/ the $1M","$$ allocated (millions)","Tours allocation could add","Buses per hr with allocation","Wait time, min., with allocation",null,null,"X-Product: time-saving %, x riders","Wkday hrs saved per yr w/ allocation","Wkday hrs saved per yr per $1M"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Route",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
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[null,"Bx15",7940575,23903,19153,14835,239,20,5.9749999999999996,5.0209205020920509,2000.2510460251049,7.0949999999999998,{"$f":"AVERAGE(80,68)","v":74},{"$f":"$L263/($M263/60)","v":5.7527027027027025},{"$f":"ROW()","v":263},{"$f":"60*Transit!$I$301/N263+J263","v":42.88138561837112},{"$f":"D263*P263/60","v":17083.229340598748},0.81081081081081086,1.2333333333333332,6166.6666666666661,{"$f":"Transit!$K$336/T263","v":0.91191918041274289},6.8869191804127423,4.3560842249062173,0.6648362771858336,5,4.5595959020637142,10.534595902063714,2.8477599215858902,2.1731605805061607,865.750955930646,287602.40960921178,216437.73898266151,43287.547796532301]
[null,"Bx40/42",8711111,28208,16152,11988,276,20,6.9,4.3478260869565215,2044.0579710144925,8.1050000000000004,{"$f":"AVERAGE(74,72)","v":73},{"$f":"$L264/($M264/60)","v":6.6616438356164389},{"$f":"ROW()","v":264},{"$f":"60*Transit!$I$301/N264+J264","v":37.042459029584528},17414.894738442006,0.82191780821917815,1.2166666666666666,6083.333333333333,{"$f":"Transit!$K$336/T264","v":0.92441122398004072},7.8244112239800412,3.8341543077460987,0.51367177921042284,4,3.6976448959201629,10.597644895920164,2.8308176292592395,1.517008457697282,713.19624291208208,220247.15104899713,178299.06072802053,44574.765182005132]
[null,"B8",7246154,22420,15385,12879,241,20,6.0250000000000004,4.9792531120331951,1860.5809128630706,9.4,{"$f":"AVERAGE(78,81)","v":79.5},7.0943396226415096,{"$f":"ROW()","v":265},{"$f":"60*Transit!$I$301/N265+J265","v":35.679785026926808},13332.346338394984,0.75471698113207542,1.3250000000000002,6625.0000000000009,{"$f":"Transit!$K$336/T265","v":0.84883043208230136},6.8738304320823014,4.3643788272664805,0.61487428476671457,3,2.546491296246904,8.5714912962469043,3.4999743875532765,1.4792787244799186,552.75715004732956,178651.357441751,138189.2875118324,46063.095837277469]
[null,"Bx41",8868415,27383,20413,14295,341,20,8.5250000000000004,3.5190615835777126,1606.0410557184753,5.49,{"$f":"AVERAGE(47,46)","v":46.5},7.0838709677419356,{"$f":"ROW()","v":266},{"$f":"60*Transit!$I$301/N266+J266","v":34.26496322292197},15637.958132221205,1.2903225806451613,0.77500000000000002,3875,{"$f":"Transit!$K$336/T266","v":1.451226222592322},9.9762262225923219,3.0071491294034129,0.51191245417429965,3,4.3536786677769665,12.878678667776967,2.3294315180843319,1.1896300654933807,542.9273347234207,175835.55195454133,135731.8336808552,45243.944560285068]
[null,"M86",8490733,27380,15485,12566,387,20,9.6750000000000007,3.1007751937984493,1414.9870801033589,2.4300000000000002,{"$f":"AVERAGE(32,28)","v":30},4.8600000000000003,{"$f":"ROW()","v":267},{"$f":"60*Transit!$I$301/N267+J267","v":47.915590008613258},21865.480907263853,2,0.5,2500,{"$f":"Transit!$K$336/T267","v":2.249400645018099},11.9244006450181,2.5158497179926367,0.58492547580581267,3,6.748201935054297,16.423201935054298,1.8266839876070011,1.2740912061914482,581.4102870920309,180299.47082365892,145352.57177300772,48450.857257669239]
[null,"B82",8914278,27945,17552,15344,309,20,7.7249999999999996,3.883495145631068,1808.7378640776699,10.295,{"$f":"AVERAGE(80,68)","v":74},8.3472972972972972,{"$f":"ROW()","v":268},{"$f":"60*Transit!$I$301/N268+J268","v":29.975772950390656},13961.216251644448,0.81081081081081086,1.2333333333333332,6166.6666666666661,{"$f":"Transit!$K$336/T268","v":0.91191918041274289},8.6369191804127432,3.4734607761567999,0.41003436947426808,3,2.7357575412382289,10.460757541238229,2.8678611354612213,1.0156340101698467,473.03154023660608,150894.06521514736,118257.88505915152,39419.295019717174]
[null,"Q58",9172908,27635,21787,17408,379,20,9.4749999999999996,3.1662269129287601,1458.311345646438,8.1199999999999992,{"$f":"AVERAGE(68,64)","v":66},7.3818181818181809,{"$f":"ROW()","v":269},{"$f":"60*Transit!$I$301/N269+J269","v":32.671153021303141},15047.788562395204,0.90909090909090906,1.1000000000000001,5500,{"$f":"Transit!$K$336/T269","v":1.0224548386445904},10.49745483864459,2.8578355859708124,0.30839132695794769,3,3.0673645159337712,12.542364515933771,2.3918934872199031,0.77433342570885699,356.6450703244044,118381.48792253634,89161.267581101099,29720.422527033701]
[null,"B41",12693709,38658,31884,20858,528,20,13.2,2.2727272727272729,1464.3181818181818,7.85,{"$f":"AVERAGE(72,64)","v":68},6.9264705882352944,{"$f":"ROW()","v":270},{"$f":"60*Transit!$I$301/N270+J270","v":33.717313259988416},21724.064933410536,0.88235294117647067,1.1333333333333333,5666.666666666667,{"$f":"Transit!$K$336/T270","v":0.99238263750798483},14.192382637507984,2.1138099758327575,0.15891729689451539,3,2.9771479125239546,16.177147912523953,1.8544678062054889,0.41825946652178403,269.48457427998545,88487.732575379487,67371.143569996362,22457.047856665453]
[null,"Bx9",8629476,26914,18017,14590,395,20,9.875,3.037974683544304,1362.7341772151899,6.2149999999999999,{"$f":"AVERAGE(57,59)","v":58},6.4293103448275861,{"$f":"ROW()","v":271},{"$f":"60*Transit!$I$301/N271+J271","v":36.914080878234572},16558.42621261342,1.0344827586206897,0.96666666666666656,4833.333333333333,{"$f":"Transit!$K$336/T271","v":1.1634830922507409},11.038483092250742,2.7177647281138348,0.32020995543046915,2,2.3269661845014817,12.201966184501481,2.4586201556684339,0.57935452787587005,259.87912938751947,83325.43322993585,64969.78234687986,32484.89117343993]
[null,"Bx36",9803254,30521,20671,16571,407,20,10.175000000000001,2.9484029484029484,1499.8034398034397,7.51,{"$f":"AVERAGE(73,66)","v":69.5},6.4834532374100711,{"$f":"ROW()","v":272},{"$f":"60*Transit!$I$301/N272+J272","v":36.541612002996828},18588.108999057771,0.86330935251798557,1.1583333333333334,5791.666666666667,{"$f":"Transit!$K$336/T272","v":0.97096430720205706},11.145964307202057,2.6915571567563026,0.25684579164664578,2,1.9419286144041141,12.116928614404115,2.4758749477435407,0.4725280006594077,240.36711846876304,77205.200209605682,60091.779617190754,30045.889808595377]
[null,"M101",10620992,34329,20498,14240,324,{"$f":"20","v":20},8.1,3.7037037037037037,2119.0740740740739,10.51,{"$f":"AVERAGE(108,102)","v":105},6.0057142857142853,{"$f":"ROW()","v":273},{"$f":"60*Transit!$I$301/N273+J273","v":39.969165168974875},22868.357851428973,0.5714285714285714,1.75,8750,{"$f":"Transit!$K$336/T273","v":0.64268589857659975},8.7426858985765996,3.4314397598207562,0.2722639438829475,2,1.2853717971531995,9.3853717971531996,3.1964636722329631,0.50724003147074059,290.21738400598423,89789.871938841403,72554.346001496058,36277.173000748029]
[null,"B35",12853601,38864,31216,23241,541,20,13.525,2.2181146025878005,1436.7467652495382,6.65,{"$f":"AVERAGE(46, 47)","v":46.5},8.5806451612903221,{"$f":"ROW()","v":274},{"$f":"60*Transit!$I$301/N274+J274","v":27.600821369505091},17877.972028407432,1.2903225806451613,0.77500000000000002,3875,{"$f":"Transit!$K$336/T274","v":1.451226222592322},14.976226222592322,2.0031748688961195,0.21493973369168096,2,2.9024524451846441,16.427452445184645,1.8262113434876419,0.39190325910015855,253.8488043611427,83956.135384550958,63462.201090285671,31731.100545142835]
[null,"B15",7571819,23010,16969,14353,306,20,7.65,3.9215686274509802,1503.9215686274508,13.96,{"$f":"AVERAGE(67,81)","v":74},11.31891891891892,{"$f":"ROW()","v":275},{"$f":"60*Transit!$I$301/N275+J275","v":23.163688971290519},8883.2747204899151,0.81081081081081086,1.2333333333333332,6166.6666666666661,{"$f":"Transit!$K$336/T275","v":0.91191918041274289},8.5619191804127439,3.5038873140301927,0.41768131342078751,2,1.8238383608254858,9.4738383608254857,3.1666151413402419,0.75495348611073831,289.52466192346816,95272.852504158727,72381.165480867028,36190.582740433514]
[null,"Q44/20",8332419,25359,18228,16055,325,20,8.125,3.6923076923076925,1560.5538461538463,14.005000000000001,{"$f":"AVERAGE(83,87,76,76)","v":80.5},10.438509316770189,{"$f":"ROW()","v":276},{"$f":"60*Transit!$I$301/N276+J276","v":24.557355889380162},10379.166466646526,0.74534161490683237,1.3416666666666666,6708.333333333333,{"$f":"Transit!$K$336/T276","v":0.83828595466513012},8.96328595466513,3.3469868251147195,0.34532086719297306,2,1.6765719093302602,9.80157190933026,3.0607335514666336,0.6315741408410589,266.93481062647356,87709.006184211918,66733.702656618392,33366.851328309196]
[null,"B6",14046274,44035,29345,22624,556,20,13.9,2.1582733812949639,1583.9928057553957,10.58,{"$f":"AVERAGE(65,65)","v":65},9.7661538461538466,{"$f":"ROW()","v":277},{"$f":"60*Transit!$I$301/N277+J277","v":24.459785668629557},17951.444365301708,0.92307692307692313,1.0833333333333333,5416.6666666666661,{"$f":"Transit!$K$336/T277","v":1.0381849130852765},14.938184913085276,2.0082761175168713,0.14999726377809264,1,1.0381849130852765,14.938184913085276,2.0082761175168713,0.14999726377809264,110.08549184113849,35115.044437956072,27521.372960284625,27521.372960284625]
[null,"B44",13391324,41723,28642,22269,568,20,14.2,2.1126760563380285,1469.1197183098593,9.93,{"$f":"AVERAGE(66,63)","v":64.5},9.2372093023255815,{"$f":"ROW()","v":278},{"$f":"60*Transit!$I$301/N278+J278","v":25.691225905280625},17865.250307433726,0.93023255813953487,1.075,5375,{"$f":"Transit!$K$336/T278","v":1.046232858147953},15.246232858147952,1.967699187013747,0.14497686932428144,1,1.046232858147953,15.246232858147952,1.967699187013747,0.14497686932428144,100.81449864694991,32357.203827118563,25203.624661737478,25203.624661737478]
[null,"M14",12036852,37913,24531,19363,651,{"$f":"20","v":20},16.274999999999999,1.8433179723502306,1164.7619047619048,3.7450000000000001,{"$f":"AVERAGE(38,46)","v":42},5.3500000000000005,{"$f":"ROW()","v":279},{"$f":"60*Transit!$I$301/N279+J279","v":42.553598346182},26888.909568313302,1.4285714285714286,0.7,3500,{"$f":"Transit!$K$336/T279","v":1.6067147464414993},17.881714746441499,1.6776914532746401,0.16562651907559056,1,1.6067147464414993,17.881714746441499,1.6776914532746401,0.16562651907559056,104.65663696188108,33227.031623134339,26164.159240470268,26164.159240470268]
[null,"Bx1/2",12586548,40188,25347,17941,494,20,12.35,2.4291497975708505,1627.0445344129555,7.7949999999999999,{"$f":"AVERAGE(69,59)","v":64},7.3078124999999998,{"$f":"ROW()","v":280},{"$f":"60*Transit!$I$301/N280+J280","v":32.232870131117991},21589.57641382283,0.9375,1.0666666666666667,5333.333333333333,{"$f":"Transit!$K$336/T280","v":1.0544065523522339},13.404406552352233,2.2380699871219245,0.19107981044892597,1,1.0544065523522339,13.404406552352233,2.2380699871219245,0.19107981044892597,127.98525703869062,40083.920100771807,31996.314259672654,31996.314259672654]
[null,"B46",16816652,51745,39201,27823,792,20,19.8,1.5151515151515151,1306.6919191919192,7.8650000000000002,{"$f":"AVERAGE(52,47)","v":49.5},9.533333333333335,{"$f":"ROW()","v":281},{"$f":"60*Transit!$I$301/N281+J281","v":24.361305361305355},21009.595765345763,1.2121212121212124,0.82499999999999984,4124.9999999999991,{"$f":"Transit!$K$336/T281","v":1.3632731181927875},21.163273118192787,1.4175501035428595,9.7601411608655653E-2,1,1.3632731181927875,21.163273118192787,1.4175501035428595,9.7601411608655653E-2,84.173084061498102,27355.482895525369,21043.271015374525,21043.271015374525]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"A L L   2 0",{"$f":"SUM(C262:C281)","v":209319220},{"$f":"SUM(D262:D281)","v":651044},{"$f":"SUM(E262:E281)","v":453626},{"$f":"SUM(F262:F281)","v":346786},{"$f":"SUM(G262:G281)","v":8367},null,null,null,{"$f":"SUM(K262:K281)","v":32428.808132900285},null,null,null,{"$f":"ROW()","v":283},null,{"$f":"SUM(Q262:Q281)","v":363348.88987088908},null,null,null,null,null,null,null,{"$f":"SUM(Y262:Y281)","v":50},null,null,"Time value of savings:",{"$f":"AD283*'Value of Time'!J68*'Value of Time'!G68*Constants!J6/1000000","v":13.855753683304645},{"$f":"SUM(AD262:AD281)","v":7415.6160957203465}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"Following text is from NY Daily News, Dec. 11, 2011, \"Straphangers survey slams slow Bronx bus routes, but borough leaders are building power base at MTA.\" <http://bit.ly/weQ1nj>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285},null,null,null,null,null,null,null,null,null,null,null,null,null,"Percent of trip time (travel + wait) saved (avoided) for users of these 20 lines, if amount shown above is spent annually to expand frequency of service",{"$f":"AD283/Q283","v":2.0409078718681049E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Calculated as passengers' saved hours in Cell AD\",$O$283, \", divided by all passenger hours for those bus lines in Cell Q\",O283, \".\")","v":"Calculated as passengers' saved hours in Cell AD283, divided by all passenger hours for those bus lines in Cell Q283."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287},null,null,null,null,null,null,null,null,null,null,null,null,null,"Percent of year-round trip time (travel + wait) saved (avoided) for entire NYC Bus system, if amount shown above is spent annually to expand frequency of service",{"$f":"AD285*C283/(D29*1000)","v":7.0890609581613882E-3}]
[null,"\"The Bronx boasts the three slowest bus routes in the city outside of Manhattan, according to a new survey by transit advocates. The Bx19, Bx36 and Bx2 buses all average less than six miles per hour, according to the annual Pokey Award survey by the Straphangers Campaign and Transportation Alternatives, two transit advocacy groups.\n\nThe M50 bus in midtown Manhattan snagged the 2011 Pokey Award, with an average speed of just 3.5 miles per hour traveling crosstown along 50th Street.\n\nBut the survey named the Bx19 bus the most sluggish route in the outer boroughs, with an average speed of 5 miles per hour. It chugs along Southern Blvd. between Harlem and Fordham Road.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Percent shown in Row \",$O$285, \", prorated by ratio of annual passengers for those bus lines in Row \",O283, \" to annual passengers for all bus lines in Row \",O15, \".\")","v":"Percent shown in Row 285, prorated by ratio of annual passengers for those bus lines in Row 283 to annual passengers for all bus lines in Row 15."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,"\"The Bx36 averages 5.2 miles per hour between West Farms Square and Castle Hill, while the Bx2 chugs along the Grand Concourse at 5.6 miles per hour, the Pokey Award survey found.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"\"No Brooklyn, Queens and Staten Island bus routes tested for the survey clocked in at less than 6 miles per hour. The speeds were recorded by surveyors who rode the routes from start to finish.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,"\"The transit advocates also highlighted the city’s most unreliable bus routes, finding the Bx41 the worst in the Bronx, with spotty service 24% of the time.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,"\"But the groups admitted that the MTA’s new Select Bus Service has been successful on Pelham Parkway and Fordham Road. The Bx12 SBS, with an average speed of 10.9 miles per hour, is more than 50% faster than the Bx12 local, the survey found.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,"\"The MTA is now working to add SBS to the Bx41 on Webster Ave., said a spokesman.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"4. Cost to provide $1 bus service in parts of NYC underserved by subways",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"NYC Transit bus revenue, 2015, millions",null,null,null,null,null,null,null,{"$f":"L41","v":952.36300000000006},null,null,null,null,{"$f":"ROW()","v":303}]
[null,{"$f":"CONCATENATE(\"From Feb MTA 2015 financial report sourced in Row \",O41, \".\")","v":"From Feb MTA 2015 financial report sourced in Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,null,null,null,null,"(3)","(4)","(5)",null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,null,null,null,null,"Population w/i Walking Distance to Subway","Pop. Not w/i Walking Distance to Subway","Previous column, adj'd for boro share of bus riders",null,"(7)",null,null,null,null,{"$f":"ROW()","v":306}]
[null,null,null,null,"(2)",null,null,null,"(6)","Boro bus discount, $millions",null,null,null,null,{"$f":"ROW()","v":307}]
[null,null,null,"(1)","Share of NYC Bus Ridership",null,null,null,"Boro share of bus discount",null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,null,null,"Population",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,{"$f":"'Bus Routes'!B21","v":"Bronx"},null,{"$f":"'Bus Routes'!M21","v":1391903},{"$f":"'Bus Routes'!K21","v":0.23066980469654061},0.59,{"$f":"1-F310","v":0.41000000000000003},{"$f":"E310*G310","v":9.4574619925581652E-2},{"$f":"H310/$H$315","v":0.27302779109545927},{"$f":"I310*$J$331","v":43.684446575273483},null,null,null,null,{"$f":"ROW()","v":310}]
[null,{"$f":"'Bus Routes'!B22","v":"Brooklyn"},null,{"$f":"'Bus Routes'!M22","v":2567098},{"$f":"'Bus Routes'!K22","v":0.32015753337602676},0.65700000000000003,{"$f":"1-F311","v":0.34299999999999997},{"$f":"E311*G311","v":0.10981403394797717},{"$f":"H311/$H$315","v":0.31702250713447511},{"$f":"I311*$J$331","v":50.723601141516014},null,null,null,null,{"$f":"ROW()","v":311}]
[null,{"$f":"'Bus Routes'!B23","v":"Manhattan"},null,{"$f":"'Bus Routes'!M23","v":1629054},{"$f":"'Bus Routes'!K23","v":0.24514660423940052},0.85599999999999998,{"$f":"1-F312","v":0.14400000000000002},{"$f":"E312*G312","v":3.5301111010473681E-2},"NA","NA",null,null,null,null,{"$f":"ROW()","v":312}]
[null,{"$f":"'Bus Routes'!B24","v":"Queens"},null,{"$f":"'Bus Routes'!M24","v":2306712},{"$f":"'Bus Routes'!K24","v":0.16184217614951171},0.34699999999999998,{"$f":"1-F313","v":0.65300000000000002},{"$f":"E313*G313","v":0.10568294102563115},{"$f":"H313/$H$315","v":0.30509644096275024},{"$f":"I313*$J$331","v":48.815430554040034},null,null,null,null,{"$f":"ROW()","v":313}]
[null,{"$f":"'Bus Routes'!B25","v":"Staten Island"},null,{"$f":"'Bus Routes'!M25","v":491730},{"$f":"'Bus Routes'!K25","v":4.2183881538520249E-2},0.13900000000000001,{"$f":"1-F314","v":0.86099999999999999},{"$f":"E314*G314","v":3.6320322004665936E-2},{"$f":"H314/$H$315","v":0.10485326080731543},{"$f":"I314*$J$331","v":16.776521729170469},null,null,null,null,{"$f":"ROW()","v":314}]
[null,"Total",null,{"$f":"SUM(D310:D314)","v":8386497},null,null,{"$f":"SUMPRODUCT(E310:E314,G310:G314)","v":0.38169302791432957},{"$f":"SUM(H310:H314)-H312","v":0.3463919169038559},{"$f":"SUM(I310:I314)","v":1},{"$f":"SUM(J310:J314)","v":160},null,null,null,null,{"$f":"ROW()","v":315}]
[null,null,null,null,null,null,null,"Total, exclud. Manhattan:",null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,{"$f":"CONCATENATE(\"Cols. 1 & 2 are from BTA 'Bus Routes' worksheet, Part A. Col. 3 is from Regional Plan Association, 'Tomorrow's Transit,' 2008, Table 3, p. 16; walking distance is considered \" & \"to be 1/3 of a mile or less. Col. 4 is complement of Col. 3. Col. 5 is product of Cols. 3 & 4. Col. 6 normalizes Col. 5 by total of that column. Col. 7 multiplies %'s in Col. 6 by rounded subsidy in Row \",O331, \".\")","v":"Cols. 1 & 2 are from BTA 'Bus Routes' worksheet, Part A. Col. 3 is from Regional Plan Association, 'Tomorrow's Transit,' 2008, Table 3, p. 16; walking distance is considered to be 1/3 of a mile or less. Col. 4 is complement of Col. 3. Col. 5 is product of Cols. 3 & 4. Col. 6 normalizes Col. 5 by total of that column. Col. 7 multiplies %'s in Col. 6 by rounded subsidy in Row 331."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Share of NYC bus riders not living in Manhattan and not within walking distance to subway",null,null,null,null,null,null,null,{"$f":"H315","v":0.3463919169038559},null,null,null,null,{"$f":"ROW()","v":320}]
[null,{"$f":"CONCATENATE(\"Copied from Cell I\",O315, \".\")","v":"Copied from Cell I315."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Average NYC Transit bus fare",null,null,null,null,null,null,null,{"$f":"Results!H153","v":1.9754622261714638},null,null,null,null,{"$f":"ROW()","v":322}]
[null,{"$f":"CONCATENATE(\"Copied from 'Results' Tab, Cell F\",Results!N153, \". Is also product of cells in Rows \",O44, \" and \",O37, \" here.\")","v":"Copied from 'Results' Tab, Cell F153. Is also product of cells in Rows 44 and 37 here."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,"Subsidized bus fare for underserved districts",null,null,null,null,null,null,null,1,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Per-fare subsidy",null,null,null,null,null,null,null,{"$f":"J322-J324","v":0.97546222617146383},null,null,null,null,{"$f":"ROW()","v":325}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O322, \" and \",O324,\".\")","v":"Difference between Rows 322 and 324."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Per-fare subsidy as a percent of average fare",null,null,null,null,null,null,null,{"$f":"J325/J322","v":0.49378935888941511},null,null,null,null,{"$f":"ROW()","v":327}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O325, \" to Row \",O322,\".\")","v":"Ratio of Row 325 to Row 322."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,"Total Annual Subsidy to provide $1 bus service in parts of NYC underserved by subways, millions",null,null,null,null,null,null,null,{"$f":"J320*J327*J303","v":162.89658893420767},null,null,null,null,{"$f":"ROW()","v":329}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O303, \", \",O320, \" and \",O327,\".\")","v":"Product of Rows 303, 320 and 327."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,"Subsidy, rounded, millions",null,null,null,null,null,null,null,{"$f":"ROUND(J329,-1)","v":160},null,null,null,null,{"$f":"ROW()","v":331}]

{"sheet":"Bus Routes","index":34,"n_rows":325,"n_cols":15,"rows_kept":325,"cut":false,"hidden":false,"merged":[[32,10,33,10],[32,11,33,11],[32,12,33,12],[4,1,5,8],[7,1,9,8],[12,3,12,12],[16,6,19,6],[16,9,19,9],[17,4,19,4],[17,10,19,10],[14,7,19,7],[17,13,19,13],[18,3,19,3],[18,12,19,12],[27,6,28,8],[28,10,30,12],[275,7,278,7],[277,5,278,5],[277,6,278,6],[30,6,31,8],[190,7,193,7],[192,5,193,5],[192,6,193,6],[237,7,240,7],[239,5,240,5],[239,6,240,6],[59,7,62,7],[61,5,62,5],[61,6,62,6],[132,7,135,7],[134,5,135,5],[134,6,135,6]]}
[null,"Bus Routes",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,"This worksheet apportions annual ridership on NYC Transit buses among the five boroughs.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"All ridership data in this worksheet are from 2009. They were extracted from the MTA/NYCT website: <http://www.mta.info/nyct/facts/ridership/ridership_bus.htm>.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Borough apportionments of interborough route lengths between borough (Columns E, F, and G) are from a visual analysis by Josef Szende, based on MTA maps available at: <http://www.mta.info/maps/>. Borough Population figures are from US Census <http://www.census.gov/popest/cities/tables/SUB-EST2009-05-36.xls>.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"A. Summary Data",null,"A l l   f i g u r e s   a r e   a n n u a l.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,"Borough Ridership from Routes That Are Classified Under Other Boroughs",null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"(Figures in table are drawn from Individual Route Data in Part B.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,"Interborough Ridership allocable to this borough",null,null,"Total Ridership (Intraborough + Interborough)",null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,"Borough % of Intraborough Ridership",null,null,null,null,null,"Borough % of Total Ridership",null,null,"Total Ridership per Capita",{"$f":"ROW()","v":18}]
[null,null,null,"Intraborough Ridership",null,null,null,null,null,null,null,null,"Borough Population",null,{"$f":"ROW()","v":19}]
[null,"Borough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Bronx",null,{"$f":"E61","v":100271192},{"$f":"D21/$D$26","v":0.17006702888291342},null,{"$f":"F75","v":61928303.199999996},{"$f":"E77","v":2499725.6999999997},null,{"$f":"SUM(D21,G21,H21)","v":164699220.89999998},{"$f":"J21/$J$26","v":0.23066980469654061},null,1391903,{"$f":"J21/M21","v":118.32665128245286},{"$f":"ROW()","v":21}]
[null,"Brooklyn",null,{"$f":"E133","v":208344217},{"$f":"D22/$D$26","v":0.35336651797384616},null,{"$f":"F142","v":15770694.599999998},{"$f":"E144","v":4478927.9000000004},null,{"$f":"SUM(D22,G22,H22)","v":228593839.5},{"$f":"J22/$J$26","v":0.32015753337602676},null,2567098,89.047570252479645,{"$f":"ROW()","v":22}]
[null,"Manhattan",null,{"$f":"E191","v":161600574},{"$f":"D23/$D$26","v":0.27408599556643731},null,{"$f":"F196","v":2710238.5},{"$f":"E198","v":10724904.799999999},null,{"$f":"SUM(D23,G23,H23)","v":175035717.30000001},{"$f":"J23/$J$26","v":0.24514660423940052},null,1629054,107.44623401065896,{"$f":"ROW()","v":23}]
[null,"Queens",null,{"$f":"E239","v":95361299},{"$f":"D24/$D$26","v":0.1617395033196089},null,{"$f":"F247","v":14233855.699999999},{"$f":"E249","v":5960846.9000000004},null,{"$f":"SUM(D24,G24,H24)","v":115556001.60000001},{"$f":"J24/$J$26","v":0.16184217614951171},null,2306712,50.09554794876864,{"$f":"ROW()","v":24}]
[null,"Staten Island",null,{"$f":"E277","v":24020788},{"$f":"D25/$D$26","v":4.0740954257194227E-2},null,{"$f":"F283","v":6098682.7000000002},"N/A",null,{"$f":"SUM(D25,G25)","v":30119470.699999999},{"$f":"J25/$J$26","v":4.2183881538520249E-2},null,491730,61.252050312163178,{"$f":"ROW()","v":25}]
[null,"T O T A L",null,{"$f":"SUM(D21:D25)","v":589598070},null,null,{"$f":"SUM(G21:G25)","v":100741774.7},{"$f":"SUM(H21:H25)","v":23664405.299999997},null,{"$f":"SUM(J21:J25)","v":714004250.00000012},{"$f":"SUM(K21:K25)","v":0.99999999999999978},null,{"$f":"SUM(M21:M25)","v":8386497},85.137364265437654,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,{"$f":"CONCATENATE(\"agrees with total in Row \",O289, \" calculated from summing borough data.\")","v":"agrees with total in Row 289 calculated from summing borough data."},null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"B. Individual Route Data, organized by borough",null,null,null,null,null,null,null,null,"These data columns, from same MTA source, aren't used in the analysis but are kept for possible future use.",null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Route",null,"Rank Among All Local Routes","Annual",null,{"$f":"CONCATENATE(\"Differs from 2012 NYCT bus ridership figure shown in 'Buses' worksheet in Cell J\",Buses!O15, \" by just \",ROUND(100*(J26-1000*Buses!D29)/J26,1), \" percent.\")","v":"Differs from 2012 NYCT bus ridership figure shown in 'Buses' worksheet in Cell J15 by just 15.6 percent."},null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Bronx ",null,null,null,null,null,null,null,null,"Average Weekday ","Average Saturday","Average Sunday",null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Intraborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Bx1/2 ",null,8,12586548,null,null,null,null,null,40188,25347,17941,null,{"$f":"ROW()","v":36}]
[null,"Bx4 ",null,65,4275737,null,null,null,null,null,13153,10041,7080,null,{"$f":"ROW()","v":37}]
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[null,"Bx7 ",null,58,4493954,0.5,0.5,"Manhattan",null,null,14154,8911,7451,null,{"$f":"ROW()","v":66}]
[null,"Bx11 ",null,57,4496405,0.9,0.1,"Manhattan",null,null,14061,9378,7353,null,{"$f":"ROW()","v":67}]
[null,"Bx12Lcl/SBS ",null,3,14736515,0.95,0.05,"Manhattan",null,null,45773,32030,24143,null,{"$f":"ROW()","v":68}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
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[null,"B4 ",null,127,1845977,null,null,null,null,null,5825,3756,2915,null,{"$f":"ROW()","v":87}]
[null,"B6 ",null,4,14046274,null,null,null,null,null,44035,29345,22624,null,{"$f":"ROW()","v":88}]
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[null,"B36 ",null,45,5124070,null,null,null,null,null,16909,8229,6740,null,{"$f":"ROW()","v":103}]
[null,"B37 ",null,158,978012,null,null,null,null,null,3197,1844,1194,null,{"$f":"ROW()","v":104}]
[null,"B39 ",null,181,400660,null,null,null,null,null,1202,980,765,null,{"$f":"ROW()","v":105}]
[null,"B41 ",null,7,12693709,null,null,null,null,null,38658,31884,20858,null,{"$f":"ROW()","v":106}]
[null,"B42 ",null,141,1482165,null,null,null,null,null,4763,2930,1991,null,{"$f":"ROW()","v":107}]
[null,"B43 ",null,75,3899276,null,null,null,null,null,12025,9015,6432,null,{"$f":"ROW()","v":108}]
[null,"B44 ",null,5,13391324,null,null,null,null,null,41723,28642,22269,null,{"$f":"ROW()","v":109}]
[null,"B45 ",null,97,2796785,null,null,null,null,null,8627,6629,4448,null,{"$f":"ROW()","v":110}]
[null,"B46 ",null,1,16816652,null,null,null,null,null,51745,39201,27823,null,{"$f":"ROW()","v":111}]
[null,"B47 ",null,68,4141297,null,null,null,null,null,12643,10191,6770,null,{"$f":"ROW()","v":112}]
[null,"B48 ",null,131,1671189,null,null,null,null,null,5548,2681,2087,null,{"$f":"ROW()","v":113}]
[null,"B49 ",null,38,5464059,null,null,null,null,null,17586,10051,8164,null,{"$f":"ROW()","v":114}]
[null,"B51 ",null,189,225769,null,null,null,null,null,889,0,0,null,{"$f":"ROW()","v":115}]
[null,"B52 ",null,60,4455699,null,null,null,null,null,14050,9467,6719,null,{"$f":"ROW()","v":116}]
[null,"B54 ",null,76,3835588,null,null,null,null,null,12249,7664,5489,null,{"$f":"ROW()","v":117}]
[null,"B60 ",null,55,4584501,null,null,null,null,null,14418,9632,7189,null,{"$f":"ROW()","v":118}]
[null,"B61 ",null,39,5423524,null,null,null,null,null,17583,10197,7218,null,{"$f":"ROW()","v":119}]
[null,"B63 ",null,56,4500359,null,null,null,null,null,13161,12050,9193,null,{"$f":"ROW()","v":120}]
[null,"B64 ",null,114,2208096,null,null,null,null,null,6666,5293,4091,null,{"$f":"ROW()","v":121}]
[null,"B65 ",null,142,1479566,null,null,null,null,null,4754,2923,2054,null,{"$f":"ROW()","v":122}]
[null,"B67 ",null,123,1962007,null,null,null,null,null,6560,3149,2274,null,{"$f":"ROW()","v":123}]
[null,"B68 ",null,32,6011680,null,null,null,null,null,17988,13368,12783,null,{"$f":"ROW()","v":124}]
[null,"B69 ",null,168,685494,null,null,null,null,null,2286,1089,830,null,{"$f":"ROW()","v":125}]
[null,"B70 ",null,136,1509235,null,null,null,null,null,4770,2967,2472,null,{"$f":"ROW()","v":126}]
[null,"B71 ",null,183,335157,null,null,null,null,null,1044,716,579,null,{"$f":"ROW()","v":127}]
[null,"B74 ",null,147,1338203,null,null,null,null,null,4278,2525,2022,null,{"$f":"ROW()","v":128}]
[null,"B75 ",null,155,1036235,null,null,null,null,null,3331,2154,1336,null,{"$f":"ROW()","v":129}]
[null,"B77 ",null,150,1268247,null,null,null,null,null,3983,2721,1928,null,{"$f":"ROW()","v":130}]
[null,"B82 ",null,14,8914278,null,null,null,null,null,27945,17552,15344,null,{"$f":"ROW()","v":131}]
[null,"B83 ",null,94,2982176,null,null,null,null,null,9419,6027,4707,null,{"$f":"ROW()","v":132}]
[null,"Total",null,null,{"$f":"SUM(E84:E132)","v":208344217},null,null,"Other Borough into which This Route Carries",null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Interborough",null,null,null,"% In\nBorough","% Outside Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"B13 ",null,122,1968513,{"$f":"1-G137","v":0.7},0.3,"Queens",null,null,6373,3660,2711,null,{"$f":"ROW()","v":137}]
[null,"B15 ",null,21,7571819,{"$f":"1-G138","v":0.8},0.2,"Queens",null,null,23010,16969,14353,null,{"$f":"ROW()","v":138}]
[null,"B24 ",null,157,987968,{"$f":"1-G139","v":0.7},0.3,"Queens",null,null,3210,1805,1333,null,{"$f":"ROW()","v":139}]
[null,"B38 ",null,28,6853080,{"$f":"1-G140","v":0.9},0.1,"Queens",null,null,22043,13362,9515,null,{"$f":"ROW()","v":140}]
[null,"B57 ",null,132,1639923,{"$f":"1-G141","v":0.9},0.1,"Queens",null,null,5471,2688,1830,null,{"$f":"ROW()","v":141}]
[null,"Total",null,"Total:",{"$f":"SUM(E137:E141)","v":19021303},{"$f":"SUMPRODUCT(E137:E141,F137:F141)","v":15770694.599999998},"Total Allocable to this Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Ridership from Other Boroughs' Routes",null,null,{"$f":"SUMPRODUCT(E242,G242)+SUMPRODUCT(E244:E246,G244:G246)+SUMPRODUCT(E280:E282,G280:G282)","v":4478927.9000000004},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Brooklyn Grand Total",null,null,{"$f":"SUM(E144,F142,E133)","v":228593839.5},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Manhattan",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Intraborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"M1 ",null,51,4747390,null,null,null,null,null,15898,7549,5428,null,{"$f":"ROW()","v":151}]
[null,"M2 ",null,64,4281757,null,null,null,null,null,13923,7755,5900,null,{"$f":"ROW()","v":152}]
[null,"M3 ",null,37,5547407,null,null,null,null,null,17410,11946,8608,null,{"$f":"ROW()","v":153}]
[null,"M4 ",null,26,6887897,null,null,null,null,null,22499,11872,9580,null,{"$f":"ROW()","v":154}]
[null,"M5 ",null,72,4005787,null,null,null,null,null,11947,10122,7675,null,{"$f":"ROW()","v":155}]
[null,"M6 ",null,143,1479383,null,null,null,null,null,4479,3559,2658,null,{"$f":"ROW()","v":156}]
[null,"M7 ",null,34,5730503,null,null,null,null,null,17398,13218,10785,null,{"$f":"ROW()","v":157}]
[null,"M8 ",null,163,847265,null,null,null,null,null,2811,1353,1076,null,{"$f":"ROW()","v":158}]
[null,"M9 ",null,128,1814151,null,null,null,null,null,5844,3197,2795,null,{"$f":"ROW()","v":159}]
[null,"M10 ",null,81,3576627,null,null,null,null,null,10903,8316,6439,null,{"$f":"ROW()","v":160}]
[null,"M11 ",null,63,4328650,null,null,null,null,null,13823,7862,7066,null,{"$f":"ROW()","v":161}]
[null,"M14 ",null,9,12036852,null,null,null,null,null,37913,24531,19363,null,{"$f":"ROW()","v":162}]
[null,"M15 ",null,2,16541900,null,null,null,null,null,53358,29533,24972,null,{"$f":"ROW()","v":163}]
[null,"M16 ",null,108,2492402,null,null,null,null,null,8376,3719,2932,null,{"$f":"ROW()","v":164}]
[null,"M18 ",null,186,286422,null,null,null,null,null,950,416,412,null,{"$f":"ROW()","v":165}]
[null,"M20 ",null,149,1294431,null,null,null,null,null,4014,2953,2082,null,{"$f":"ROW()","v":166}]
[null,"M21 ",null,171,561567,null,null,null,null,null,1923,792,551,null,{"$f":"ROW()","v":167}]
[null,"M22 ",null,151,1259993,null,null,null,null,null,4250,1943,1334,null,{"$f":"ROW()","v":168}]
[null,"M23 ",null,43,5312535,null,null,null,null,null,17671,8993,6131,null,{"$f":"ROW()","v":169}]
[null,"M27 ",null,167,771916,null,null,null,null,null,2813,637,404,null,{"$f":"ROW()","v":170}]
[null,"M30 ",null,182,336313,null,null,null,null,null,1324,0,0,null,{"$f":"ROW()","v":171}]
[null,"M31 ",null,78,3740370,null,null,null,null,null,12444,6124,4464,null,{"$f":"ROW()","v":172}]
[null,"M34 ",null,102,2658414,null,null,null,null,null,8963,3904,3077,null,{"$f":"ROW()","v":173}]
[null,"M35 ",null,162,851898,null,null,null,null,null,2553,2012,1690,null,{"$f":"ROW()","v":174}]
[null,"M42 ",null,79,3702675,null,null,null,null,null,12847,4501,3418,null,{"$f":"ROW()","v":175}]
[null,"M50 ",null,152,1112610,null,null,null,null,null,3914,1179,959,null,{"$f":"ROW()","v":176}]
[null,"M57 ",null,106,2582016,null,null,null,null,null,8488,4594,3202,null,{"$f":"ROW()","v":177}]
[null,"M66 ",null,70,4102459,null,null,null,null,null,14056,5631,4091,null,{"$f":"ROW()","v":178}]
[null,"M72 ",null,121,1975951,null,null,null,null,null,6573,3106,2491,null,{"$f":"ROW()","v":179}]
[null,"M79 ",null,33,5817539,null,null,null,null,null,18920,10232,8290,null,{"$f":"ROW()","v":180}]
[null,"M86 ",null,18,8490733,null,null,null,null,null,27380,15485,12566,null,{"$f":"ROW()","v":181}]
[null,"M96 ",null,54,4608235,null,null,null,null,null,15340,7000,5989,null,{"$f":"ROW()","v":182}]
[null,"M98 ",null,160,882720,null,null,null,null,null,3475,0,0,null,{"$f":"ROW()","v":183}]
[null,"M100 ",null,35,5588031,null,null,null,null,null,17548,11473,9160,null,{"$f":"ROW()","v":184}]
[null,"M101 ",null,10,10620992,null,null,null,null,null,34329,20498,14240,null,{"$f":"ROW()","v":185}]
[null,"M102 ",null,36,5566183,null,null,null,null,null,17104,12691,9665,null,{"$f":"ROW()","v":186}]
[null,"M103 ",null,46,4910896,null,null,null,null,null,15032,11068,8909,null,{"$f":"ROW()","v":187}]
[null,"M104 ",null,24,7095457,null,null,null,null,null,21233,17460,13810,null,{"$f":"ROW()","v":188}]
[null,"M106 ",null,173,537478,null,null,null,null,null,1890,546,500,null,{"$f":"ROW()","v":189}]
[null,"M116 ",null,104,2614769,null,null,null,null,null,8647,4333,3277,null,{"$f":"ROW()","v":190}]
[null,"Total",null,null,{"$f":"SUM(E151:E190)","v":161600574},null,null,"Other Borough into which This Route Carries",null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Interborough",null,null,null,"% In\nBorough","% Outside Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"M60 ",null,40,5420477,0.5,{"$f":"1-F195","v":0.5},"Queens",null,null,16356,12251,10648,null,{"$f":"ROW()","v":195}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Ridership from Other Boroughs' Routes",null,null,{"$f":"SUMPRODUCT(E64:E74,G64:G74)","v":10724904.799999999},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Manhattan Grand Total",null,null,{"$f":"SUM(E198,F196,E191)","v":175035717.30000001},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Queens",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Intraborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Q1 ",null,138,1502578,null,null,null,null,null,4847,2882,2043,null,{"$f":"ROW()","v":205}]
[null,"Q2 ",null,120,1988743,null,null,null,null,null,6340,3969,2891,null,{"$f":"ROW()","v":206}]
[null,"Q3 ",null,93,3075638,null,null,null,null,null,9538,6649,5202,null,{"$f":"ROW()","v":207}]
[null,"Q4 ",null,84,3451666,null,null,null,null,null,11186,6389,4699,null,{"$f":"ROW()","v":208}]
[null,"Q5 ",null,71,4077646,null,null,null,null,null,12750,9081,6197,null,{"$f":"ROW()","v":209}]
[null,"Q12 ",null,86,3331765,null,null,null,null,null,10251,7293,5941,null,{"$f":"ROW()","v":210}]
[null,"Q13 ",null,100,2740448,null,null,null,null,null,8516,6306,4202,null,{"$f":"ROW()","v":211}]
[null,"Q14 ",null,170,587634,null,null,null,null,null,1957,951,697,null,{"$f":"ROW()","v":212}]
[null,"Q15 ",null,145,1419377,null,null,null,null,null,4685,2567,1602,null,{"$f":"ROW()","v":213}]
[null,"Q16 ",null,154,1086780,null,null,null,null,null,3666,1665,1164,null,{"$f":"ROW()","v":214}]
[null,"Q17 ",null,31,6032270,null,null,null,null,null,18819,12597,10163,null,{"$f":"ROW()","v":215}]
[null,"Q20 ",null,62,4344178,null,null,null,null,null,13756,8770,6717,null,{"$f":"ROW()","v":216}]
[null,"Q26 ",null,175,518840,null,null,null,null,null,2043,0,0,null,{"$f":"ROW()","v":217}]
[null,"Q27 ",null,23,7144821,null,null,null,null,null,23345,12605,9526,null,{"$f":"ROW()","v":218}]
[null,"Q28 ",null,91,3106805,null,null,null,null,null,10103,5541,4271,null,{"$f":"ROW()","v":219}]
[null,"Q30 ",null,98,2786536,null,null,null,null,null,9674,3651,2360,null,{"$f":"ROW()","v":220}]
[null,"Q31 ",null,130,1716906,null,null,null,null,null,6254,1450,902,null,{"$f":"ROW()","v":221}]
[null,"Q32 ",null,59,4457583,null,null,null,null,null,13545,10545,8121,null,{"$f":"ROW()","v":222}]
[null,"Q36 ",null,129,1777463,null,null,null,null,null,5659,3589,2596,null,{"$f":"ROW()","v":223}]
[null,"Q42 ",null,185,330542,null,null,null,null,null,1301,0,0,null,{"$f":"ROW()","v":224}]
[null,"Q43 ",null,47,4890266,null,null,null,null,null,16290,7789,5868,null,{"$f":"ROW()","v":225}]
[null,"Q46 ",null,29,6466673,null,null,null,null,null,21711,9910,7404,null,{"$f":"ROW()","v":226}]
[null,"Q48 ",null,159,917382,null,null,null,null,null,2766,2183,1714,null,{"$f":"ROW()","v":227}]
[null,"Q55 ",null,110,2478876,null,null,null,null,null,7983,4762,3450,null,{"$f":"ROW()","v":228}]
[null,"Q58 ",null,13,9172908,null,null,null,null,null,27635,21787,17408,null,{"$f":"ROW()","v":229}]
[null,"Q74 ",null,179,475738,null,null,null,null,null,1873,0,0,null,{"$f":"ROW()","v":230}]
[null,"Q75 ",null,187,239161,null,null,null,null,null,942,0,0,null,{"$f":"ROW()","v":231}]
[null,"Q76 ",null,133,1547586,null,null,null,null,null,5707,1884,0,null,{"$f":"ROW()","v":232}]
[null,"Q77 ",null,125,1883597,null,null,null,null,null,6939,2333,0,null,{"$f":"ROW()","v":233}]
[null,"Q79 ",null,192,159361,null,null,null,null,null,598,145,0,null,{"$f":"ROW()","v":234}]
[null,"Q83 ",null,95,2932063,null,null,null,null,null,9523,5376,3923,null,{"$f":"ROW()","v":235}]
[null,"Q84 ",null,135,1512803,null,null,null,null,null,5109,2283,1603,null,{"$f":"ROW()","v":236}]
[null,"Q85 ",null,73,3960425,null,null,null,null,null,12858,7342,5281,null,{"$f":"ROW()","v":237}]
[null,"Q88 ",null,87,3246241,null,null,"Other Borough into which This Route Carries",null,null,10913,5490,3201,null,{"$f":"ROW()","v":238}]
[null,"Total",null,null,{"$f":"SUM(E205:E238)","v":95361299},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,"% In\nBorough","% Outside Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Interborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"Q24 ",null,85,3400958,{"$f":"1-G242","v":0.6},0.4,"Brooklyn",null,null,10585,7474,5535,null,{"$f":"ROW()","v":242}]
[null,"Q44 ",null,19,8332419,{"$f":"1-G243","v":0.7},0.3,"Bronx",null,null,25359,18228,16055,null,{"$f":"ROW()","v":243}]
[null,"Q54 ",null,77,3806720,{"$f":"1-G244","v":0.7},0.3,"Brooklyn",null,null,12125,7849,5403,null,{"$f":"ROW()","v":244}]
[null,"Q56 ",null,88,3233508,{"$f":"1-G245","v":0.75},0.25,"Brooklyn",null,null,9933,7762,5242,null,{"$f":"ROW()","v":245}]
[null,"Q59 ",null,116,2117921,{"$f":"1-G246","v":0.6},0.4,"Brooklyn",null,null,6725,4481,2994,null,{"$f":"ROW()","v":246}]
[null,"Total",null,"Total:",{"$f":"SUM(E242:E246)","v":20891526},{"$f":"SUMPRODUCT(E242:E246,F242:F246)","v":14233855.699999999},"Total Allocable to this Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,"Ridership from Other Boroughs' Routes",null,null,{"$f":"SUMPRODUCT(E195,G195)+SUMPRODUCT(E137:E141,G137:G141)","v":5960846.9000000004},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Queens Grand Total",null,null,{"$f":"SUM(E249,F247,E239)","v":115556001.59999999},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Staten Island",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Intraborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"S40/90 ",null,140,1484564,null,null,null,null,null,4825,2623,2054,null,{"$f":"ROW()","v":256}]
[null,"S42 ",null,169,591636,null,null,null,null,null,2017,778,665,null,{"$f":"ROW()","v":257}]
[null,"S44/94 ",null,113,2280884,null,null,null,null,null,7216,4633,3500,null,{"$f":"ROW()","v":258}]
[null,"S46/96 ",null,109,2481664,null,null,null,null,null,8058,4499,3385,null,{"$f":"ROW()","v":259}]
[null,"S48/98 ",null,105,2611087,null,null,null,null,null,8204,5619,3985,null,{"$f":"ROW()","v":260}]
[null,"S51/81 ",null,144,1449870,null,null,null,null,null,4723,2513,1985,null,{"$f":"ROW()","v":261}]
[null,"S52 ",null,156,1017248,null,null,null,null,null,3314,1742,1431,null,{"$f":"ROW()","v":262}]
[null,"S54 ",null,174,530531,null,null,null,null,null,1856,679,392,null,{"$f":"ROW()","v":263}]
[null,"S55 ",null,193,139897,null,null,null,null,null,551,0,0,null,{"$f":"ROW()","v":264}]
[null,"S56 ",null,190,209943,null,null,null,null,null,827,0,0,null,{"$f":"ROW()","v":265}]
[null,"S57 ",null,176,516996,null,null,null,null,null,1690,915,684,null,{"$f":"ROW()","v":266}]
[null,"S59 ",null,148,1323294,null,null,null,null,null,4186,2928,1842,null,{"$f":"ROW()","v":267}]
[null,"S60 ",null,194,44901,null,null,null,null,null,165,33,25,null,{"$f":"ROW()","v":268}]
[null,"S61/91 ",null,146,1370877,null,null,null,null,null,4318,2865,2114,null,{"$f":"ROW()","v":269}]
[null,"S62/92 ",null,134,1535287,null,null,null,null,null,4942,3004,2115,null,{"$f":"ROW()","v":270}]
[null,"S66 ",null,177,506283,null,null,null,null,null,1993,0,0,null,{"$f":"ROW()","v":271}]
[null,"S67 ",null,191,176531,null,null,null,null,null,695,0,0,null,{"$f":"ROW()","v":272}]
[null,"S74/84 ",null,126,1872853,null,null,null,null,null,5889,4014,2826,null,{"$f":"ROW()","v":273}]
[null,"S76/86 ",null,137,1507278,null,null,null,null,null,5094,2245,1626,null,{"$f":"ROW()","v":274}]
[null,"S78 ",null,115,2136097,null,null,null,null,null,6856,4112,3070,null,{"$f":"ROW()","v":275}]
[null,"S89 ",null,188,233067,null,null,"Other Borough into which This Route Carries",null,null,918,0,0,null,{"$f":"ROW()","v":276}]
[null,"Total",null,null,{"$f":"SUM(E256:E276)","v":24020788},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,"% In\nBorough","% Outside Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Intraborough",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"S53 ",null,90,3156634,{"$f":"1-G280","v":0.95},0.05,"Brooklyn",null,null,9650,7198,5616,null,{"$f":"ROW()","v":280}]
[null,"S79 ",null,96,2931560,{"$f":"1-G281","v":0.95},0.05,"Brooklyn",null,null,8841,7263,5241,null,{"$f":"ROW()","v":281}]
[null,"S93 ",null,184,331472,{"$f":"1-G282","v":0.95},0.05,"Brooklyn",null,null,1305,0,0,null,{"$f":"ROW()","v":282}]
[null,"Total",null,"Total:",{"$f":"SUM(E280:E282)","v":6419666},{"$f":"SUMPRODUCT(E280:E282,F280:F282)","v":6098682.7000000002},"Total Allocable to this Borough",null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"Ridership from Other Borough's Routes",null,null,"N/A",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"Staten Island Grand Total",null,null,{"$f":"SUM(E285,F283,E277)","v":30119470.699999999},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"New York City Grand Total",null,null,{"$f":"SUM(E287, E251,E200,E146,E79)","v":714004250},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Express Buses",null,null,"Rank among all Express Bus Routes","Annual",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"X1 ",null,null,1,1891632,null,null,null,null,6406,2994,1825,null,{"$f":"ROW()","v":293}]
[null,"X2 ",null,null,9,346392,null,null,null,null,1364,0,0,null,{"$f":"ROW()","v":294}]
[null,"X3 ",null,null,25,127990,null,null,null,null,504,0,0,null,{"$f":"ROW()","v":295}]
[null,"X4 ",null,null,22,166864,null,null,null,null,657,0,0,null,{"$f":"ROW()","v":296}]
[null,"X5 ",null,null,7,471689,null,null,null,null,1857,0,0,null,{"$f":"ROW()","v":297}]
[null,"X6 ",null,null,14,231937,null,null,null,null,913,0,0,null,{"$f":"ROW()","v":298}]
[null,"X7 ",null,null,15,211396,null,null,null,null,832,0,0,null,{"$f":"ROW()","v":299}]
[null,"X8 ",null,null,12,293237,null,null,null,null,1154,0,0,null,{"$f":"ROW()","v":300}]
[null,"X9 ",null,null,19,191585,null,null,null,null,754,0,0,null,{"$f":"ROW()","v":301}]
[null,"X10 ",null,null,5,856895,null,null,null,null,2849,1436,982,null,{"$f":"ROW()","v":302}]
[null,"X11 ",null,null,13,243281,null,null,null,null,958,0,0,null,{"$f":"ROW()","v":303}]
[null,"X12/42 ",null,null,6,569863,null,null,null,null,2244,0,0,null,{"$f":"ROW()","v":304}]
[null,"X13 ",null,null,28,88957,null,null,null,null,350,0,0,null,{"$f":"ROW()","v":305}]
[null,"X14 ",null,null,20,182119,null,null,null,null,717,0,0,null,{"$f":"ROW()","v":306}]
[null,"X15 ",null,null,10,322173,null,null,null,null,1269,0,0,null,{"$f":"ROW()","v":307}]
[null,"X16 ",null,null,29,88297,null,null,null,null,348,0,0,null,{"$f":"ROW()","v":308}]
[null,"X17 ",null,null,2,1454602,null,null,null,null,5529,958,0,null,{"$f":"ROW()","v":309}]
[null,"X18 ",null,null,30,77089,null,null,null,null,304,0,0,null,{"$f":"ROW()","v":310}]
[null,"X19 ",null,null,11,310987,null,null,null,null,1224,0,0,null,{"$f":"ROW()","v":311}]
[null,"X20 ",null,null,31,15012,null,null,null,null,59,0,0,null,{"$f":"ROW()","v":312}]
[null,"X22 ",null,null,8,459943,null,null,null,null,1811,0,0,null,{"$f":"ROW()","v":313}]
[null,"X30 ",null,null,16,209548,null,null,null,null,825,0,0,null,{"$f":"ROW()","v":314}]
[null,"X31 ",null,null,17,195459,null,null,null,null,770,0,0,null,{"$f":"ROW()","v":315}]
[null,"X27/37 ",null,null,3,935561,null,null,null,null,3462,617,415,null,{"$f":"ROW()","v":316}]
[null,"X28/38 ",null,null,4,890093,null,null,null,null,3352,438,271,null,{"$f":"ROW()","v":317}]
[null,"X29 ",null,null,24,135765,null,null,null,null,535,0,0,null,{"$f":"ROW()","v":318}]
[null,"X25 ",null,null,33,5641,null,null,null,null,22,0,0,null,{"$f":"ROW()","v":319}]
[null,"X90 ",null,null,21,169146,null,null,null,null,666,0,0,null,{"$f":"ROW()","v":320}]
[null,"X32 ",null,null,32,12787,null,null,null,null,50,0,0,null,{"$f":"ROW()","v":321}]
[null,"X51 ",null,null,27,93090,null,null,null,null,367,0,0,null,{"$f":"ROW()","v":322}]
[null,"X63 ",null,null,18,193051,null,null,null,null,760,0,0,null,{"$f":"ROW()","v":323}]
[null,"X64 ",null,null,26,112997,null,null,null,null,445,0,0,null,{"$f":"ROW()","v":324}]
[null,"X68 ",null,null,23,165705,null,null,null,null,652,0,0,null,{"$f":"ROW()","v":325}]

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[null,"Bus Boarding",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
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[null,"This worksheet estimates impacts on bus trip times from (i) fare-free boarding and (ii) improved traffic flow. The fare-free boarding analysis draws heavily on a spreadsheet created by NYC Transit staff in 2007 as part of their early planning effort for Bus Rapid Transit. The spreadsheet, whose file name was Dwell Time Analysis1, was provided to George Haikalis in the early stages of an analysis of the potential for free public transit commissioned by Ted Kheel, in 2007. Among NYCT's twelve modeled scenarios were several involving fare prepayment, of which the one most analogous to free transit -- Scenario E2 -- is reproduced further below. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Our methodology: For a specific NYC Transit bus route, we net, from actual travel times clocked by NYCT, the estimated reductions in \"dwell times\" (curbside stops to admit and remove passengers) that would result from eliminating the time expended by passengers swiping their Metrocards as they board. Although actual dwell times were measured for current conditions (Metrocard payment), NYCT calculated the \"new\" (pre-payment) dwell times using standard industry time factors for boarding and departing. Moreover, NYCT did these calculations for a three-door (articulated) bus, whereas most NYCT buses are conventional two-door models. We therefore adjusted the calculations to a two-door model. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"It would be of interest to see if NYC Transit has updated its time-and-motion observations. ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Section A presents the NYCT time measurements for then-current conditions for a three-door scenario.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Section B presents our adjustments of the NYCT time three-door scenario to a two-door scenario.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Sections C and D combine trip time savings from pre-payment with time savings from reduced traffic due to possible CBD tolls.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"A. NYC Transit Bus Boarding Spreadsheet: A 3-Door Scenario",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"The NYCT spreadsheet drew on the authority's stopwatch measurements of time consumed by passenger boardings and departures (\"alightings\") at all 19 stops on the Bx12, from Broadway and W 207th St in Manhattan, to Bay Plaza Blvd in front of the JC Penney store in the Bronx. Travel times between stops were calculated as well (including traffic-signal stops), and the dwell times (curb stops) and travel times were summed. The MTA then applied \"standard\" transit-industry boarding and alighting times for a range of different scenarios, of which we present one in this part and a modification in Part B, below. Please note that these times are posited (based on standard factors -- see below), rather than measured for the Bx12.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"NYCT time factors; are inputted into columns O, Q, S, U, W, Y and AA",null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"minimum","maximum",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Boarding (all doors)","seconds   per    passenger",0.88,1.06,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Alighting (front door)",null,1.28,1.54,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,"Assumed Boarding & Alighting Distribution\n(text reproduced from NYCT spreadsheet)",null,null,null,null,null,"Boarding distribution assumes 40% of passengers board through front, 30% through middle, and 30% through rear door. Alighting distribution assumes 10% of passengers exit from front, 50% from middle, and 40% from rear door.",null,null,null,null,null,null,null,null,null,null,"Alighting (rear&middle door)",null,0.68,0.82,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Door Closure",null,2,2,null,null,null,null,"First three columns sum respective front, middle and rear door times to simultaneously board and alight. Last column selects maximum figure.",null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,"Actual Travel Time, Dwell Time, and Passenger Data (measured by NYCT)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,"Scenario E2: Low Floor Vehicle, Three Doors, Boarding All Doors, Alighting All Doors, Pre-Pay Fare Payment",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"This entire array presents NYCT measurements from 2007 for a 3-door scenario",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Front Door Dwell Time (Boarding + Alighting + Door Closure) [seconds]","Middle Door Dwell Time (Boarding Alighting + Door Closure) [seconds]","Rear Door Dwell Time (Boarding + Alighting + Door Closure) [seconds]","Max. Dwell Time for all doors (Front, Middle, Rear) [seconds]\n(A new data column by Komanoff)",null,{"$f":"ROW()","v":35}]
[null,null,"These six columns are reproduced verbatim from MTA's spreadsheet",null,null,null,null,null,"These cols are from MTA spreadsheet, worksheet tab E2, reformatted for clarity.",null,null,null,null,null,"Enter min or max in cell at right to choose MTA's \"minimum\" or \"maximum\" boarding times.",null,null,null,null,null,null,null,{"$f":"$J$126","v":"max"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,"Note: first row below, w/ 17 boarders in 19 seconds, strains credulity.",null,null,null,null,null,"Assumed Boarding and Alighting Distribution",null,null,null,null,null,"Boarding Front Factor, Seconds / Rider","Estimated Boarding Front Time [seconds]","Alighting Front Factor, Seconds / Rider "," Estimated Alighting Time Front [seconds]","Boarding Middle Factor, Seconds / Rider","Estimated Boarding Middle Time [seconds]","Alighting Middle Factor, Seconds / Rider","Estimated Alighting Middle Rear [seconds]","Boarding Rear Factor, Seconds / Rider","Estimated Boarding Rear Time [seconds]","Alighting Rear Factor, Seconds / Rider "," Estimated Alighting Time Rear [seconds]","Door Closure Time [seconds]",null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,"Arrival Time ","Loading Com-pletion Time","Departure Time ","Total Dwell Time mm:ss","Number Boarding","Number Alighting ","# Boarding thru Front [assumed 40%]"," # Boarding thru Middle [assumed 30%]"," # Boarding thru Rear [assumed 30%]","# Alighting thru Front [assumed 10%]","# Alighting thru Middle [assumed 50%]","# Alighting thru Rear [assumed 40%]",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Bus Stop ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Broadway and W 207th St ",38449.390289351853,38449.390497685185,38449.390509259261,{"$f":"E41-C41","v":"00:00:19"},17,0,7,5,5,0,0,0,{"$f":"IF($W$36=\"min\",$D$68,IF($W$36=\"max\",$E$68,\"error\"))","v":1.06},{"$f":"O41*I41","v":7.42},{"$f":"IF($W$36=\"min\",$D$69,IF($W$36=\"max\",$E$69,\"error\"))","v":1.54},{"$f":"Q41*L41","v":0},{"$f":"IF($W$36=\"min\",$D$68,IF($W$36=\"max\",$E$68,\"error\"))","v":1.06},{"$f":"S41*J41","v":5.3000000000000007},{"$f":"IF($W$36=\"min\",$D$70,IF($W$36=\"max\",$E$70,\"error\"))","v":0.82},{"$f":"U41*M41","v":0},{"$f":"IF($W$36=\"min\",$D$68,IF($W$36=\"max\",$E$68,\"error\"))","v":1.06},{"$f":"W41*K41","v":5.3000000000000007},{"$f":"IF($W$36=\"min\",$D$70,IF($W$36=\"max\",$E$70,\"error\"))","v":0.82},{"$f":"Y41*N41","v":0},{"$f":"IF($W$36=\"min\",$D$71,IF($W$36=\"max\",$E$71,\"error\"))","v":2},{"$f":"P41+R41+AA41","v":9.42},{"$f":"T41+V41+AA41","v":7.3000000000000007},{"$f":"X41+Z41+AA41","v":7.3000000000000007},{"$f":"MAX(AB41:AD41)","v":9.42},null,{"$f":"ROW()","v":41}]
[null,"W 207th St and Sherman Av ",38449.392442129632,38449.393009259256,38449.393078703702,"00:00:55",8,0,3,3,2,0,0,0,1.06,3.18,1.54,0,1.06,3.18,0.82,0,1.06,2.12,0.82,0,2,5.18,5.18,4.12,5.18,null,{"$f":"ROW()","v":42}]
[null,"W 207th St and 10th Av ",38449.394131944442,38449.394745370373,38449.394803240742,"00:00:58",11,1,4,4,3,0,1,0,1.06,4.24,1.54,0,1.06,4.24,0.82,0.82,1.06,3.18,0.82,0,2,6.24,7.0600000000000005,5.18,7.0600000000000005,null,{"$f":"ROW()","v":43}]
[null,"W Fordham Rd and Cedar Av ",38449.395844907405,"n/a",38449.395856481482,"00:00:01",0,0,0,0,0,0,0,0,1.06,0,1.54,0,1.06,0,0.82,0,1.06,0,0.82,0,2,2,2,2,2,null,{"$f":"ROW()","v":44}]
[null,"W Fordham Rd and Sedgwick Av ",38449.396736111114,38449.397372685184,38449.397418981483,"00:00:59",9,1,4,3,2,0,1,0,1.06,4.24,1.54,0,1.06,3.18,0.82,0.82,1.06,2.12,0.82,0,2,6.24,6,4.12,6.24,null,{"$f":"ROW()","v":45}]
[null,"W Fordham Rd and University Av ",38449.398842592593,38449.399606481478,38449.399675925924,"00:01:12",14,3,6,4,4,0,2,1,1.06,6.36,1.54,0,1.06,4.24,0.82,1.64,1.06,4.24,0.82,0.82,2,8.36,7.88,7.0600000000000005,8.36,null,{"$f":"ROW()","v":46}]
[null,"E Fordham Rd and Jerome Av ",38449.400613425925,38449.401666666665,38449.401759259257,"00:01:39",24,10,10,7,7,1,5,4,1.06,10.600000000000001,1.54,1.54,1.06,7.42,0.82,4.0999999999999996,1.06,7.42,0.82,3.28,2,14.14,13.52,12.7,14.14,null,{"$f":"ROW()","v":47}]
[null,"E Fordham Rd and Valentine Av ",38449.402870370373,38449.403969907406,38449.403993055559,"00:01:37",19,17,8,6,5,2,8,7,1.06,8.48,1.54,3.08,1.06,6.36,0.82,6.56,1.06,5.3000000000000007,0.82,5.7399999999999993,2,13.56,14.92,13.04,14.92,null,{"$f":"ROW()","v":48}]
[null,"E Fordham Rd and Fordham Plz ",38449.405497685184,38449.407048611109,38449.407106481478,"00:02:19",23,30,9,7,7,3,15,12,1.06,9.5400000000000009,1.54,4.62,1.06,7.42,0.82,12.299999999999999,1.06,7.42,0.82,9.84,2,16.16,21.72,19.259999999999998,21.72,null,{"$f":"ROW()","v":49}]
[null,"E Fordham Rd and Southern Bl ",38449.410324074073,38449.410590277781,38449.410613425927,"00:00:25",3,5,1,1,1,0,3,2,1.06,1.06,1.54,0,1.06,1.06,0.82,2.46,1.06,1.06,0.82,1.64,2,3.06,5.52,4.7,5.52,null,{"$f":"ROW()","v":50}]
[null,"Pelham Pky and White Plains Rd ",38449.41443287037,38449.415092592593,38449.415162037039,"00:01:03",16,15,6,5,5,1,8,6,1.06,6.36,1.54,1.54,1.06,5.3000000000000007,0.82,6.56,1.06,5.3000000000000007,0.82,4.92,2,9.9,13.86,12.22,13.86,null,{"$f":"ROW()","v":51}]
[null,"Pelham Pky and Williamsbridge Rd ",38449.417187500003,38449.417824074073,38449.41783564815,"00:00:56",7,13,3,2,2,1,7,5,1.06,3.18,1.54,1.54,1.06,2.12,0.82,5.7399999999999993,1.06,2.12,0.82,4.0999999999999996,2,6.7200000000000006,9.86,8.2199999999999989,9.86,null,{"$f":"ROW()","v":52}]
[null,"Pelham Pky and Jacobi Hosp ",38449.419479166667,38449.41988425926,38449.419988425929,"00:00:44",0,20,0,0,0,2,10,8,1.06,0,1.54,3.08,1.06,0,0.82,8.1999999999999993,1.06,0,0.82,6.56,2,5.08,10.199999999999999,8.5599999999999987,10.199999999999999,null,{"$f":"ROW()","v":53}]
[null,"Pelham Pky and Eastchester Rd ",38449.420682870368,38449.421041666668,38449.421041666668,"00:00:31",3,7,1,1,1,0,4,3,1.06,1.06,1.54,0,1.06,1.06,0.82,3.28,1.06,1.06,0.82,2.46,2,3.06,6.34,5.52,6.34,null,{"$f":"ROW()","v":54}]
[null,"Pelham Pky and Stillwell Av ",38449.421701388892,38449.421863425923,38449.421886574077,"00:00:16",1,1,1,0,0,0,1,0,1.06,1.06,1.54,0,1.06,0,0.82,0.82,1.06,0,0.82,0,2,3.06,2.82,2,3.06,null,{"$f":"ROW()","v":55}]
[null,"Pelham Pky and St. Paul Av ",38449.422986111109,38449.423067129632,38449.423113425924,"00:00:11",7,1,3,2,2,0,1,0,1.06,3.18,1.54,0,1.06,2.12,0.82,0.82,1.06,2.12,0.82,0,2,5.18,4.9399999999999995,4.12,5.18,null,{"$f":"ROW()","v":56}]
[null,"Charels  Crimi Rd and Subway Overpass ",38449.424074074072,38449.424675925926,38449.424687500003,"00:00:53",0,15,0,0,0,1,8,6,1.06,0,1.54,1.54,1.06,0,0.82,6.56,1.06,0,0.82,4.92,2,3.54,8.5599999999999987,6.92,8.5599999999999987,null,{"$f":"ROW()","v":57}]
[null,"Baychester Av and N.E. Thruway Exit Ra ",38449.428020833337,38449.42827546296,38449.428287037037,"00:00:23",0,0,0,0,0,0,0,0,1.06,0,1.54,0,1.06,0,0.82,0,1.06,0,0.82,0,2,2,2,2,2,null,{"$f":"ROW()","v":58}]
[null,"Bay Plaza Bl and Opp Barnes & Nobles ",38449.428472222222,"n/a",38449.428877314815,"00:00:35",0,8,0,0,0,1,4,3,1.06,0,1.54,1.54,1.06,0,0.82,3.28,1.06,0,0.82,2.46,2,3.54,5.2799999999999994,4.46,5.2799999999999994,null,{"$f":"ROW()","v":59}]
[null,"Bay Plaza Bl and IFO JC Penney ",38449.429143518515,38449.429375,"Terminus ",{"$f":"D60-C60","v":"00:00:20"},0,18,0,0,0,2,9,7,1.06,0,1.54,3.08,1.06,0,0.82,7.38,1.06,0,0.82,5.7399999999999993,2,5.08,9.379999999999999,7.7399999999999993,9.379999999999999,null,{"$f":"ROW()","v":60}]
[null,"T O T A L S","Total Actual Trip Time",null,{"$f":"D60-C41","v":"00:56:17"},{"$f":"SUM(F41:F60)","v":"00:16:16"},{"$f":"SUM(G41:G60)","v":162},{"$f":"SUM(H41:H60)","v":165},{"$f":"SUM(I41:I60)","v":66},50,46,14,87,64,null,{"$f":"SUM(P41:P60)","v":69.960000000000008},null,{"$f":"SUM(R41:R60)","v":21.560000000000002},null,{"$f":"SUM(T41:T60)","v":53},null,{"$f":"SUM(V41:V60)","v":71.34},null,{"$f":"SUM(X41:X60)","v":48.760000000000005},null,{"$f":"SUM(Z41:Z60)","v":52.480000000000011},null,{"$f":"SUM(AB41:AB60)","v":131.52000000000004},{"$f":"SUM(AC41:AC60)","v":164.33999999999997},{"$f":"SUM(AD41:AD60)","v":141.24000000000004},{"$f":"SUM(AE41:AE60)","v":168.28},null,{"$f":"ROW()","v":61}]
[null,"TOTALS converted to seconds",null,null,"Total Dwell Time, sec., currently",{"$f":"(TEXT(F61,\"[s]\")+0)","v":976},{"$f":"CONCATENATE(\"Row \",AG113, \" has per-stop avgs.\")","v":"Row 113 has per-stop avgs."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"INT(AE61/60)&\" Minutes, \"&MOD(AE61,60)&\" Seconds\"","v":"2 Minutes, 48.28 Seconds"},null,{"$f":"ROW()","v":62}]
[null,"% Reduction in Total Dwell Time for NYCT's Scenario E2",null,null,null,{"$f":"1-AE61/F62","v":0.82758196721311472},"(one minus ratio of total dwell time in column AE to dwell time in column F)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"(that scenario entails on-board fare payment for a 3-door bus)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"NYCT time factors; are inputted into columns O, Q, S, U, W, Y and AA",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,"minimum","maximum","Scenario E2 (text reproduced from NYCT spreadsheet)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Boarding (all doors)","seconds   per    passenger",0.88,1.06,"The model is based on factors for low-floor vehicles cited in TCRP's Transit Capacity and Quality of Service Manual. These factors assume pre-pay boarding through all three doors of a low floor vehicle. Boarding, through all doors, is based on a factor of .88 seconds per passenger, increased by 20% to 1.06 when significant alighting occurs through the same door. Factor for Alighting Front Door is 1.28 seconds per passenger, plus 20% to 1.54 when significant boarding occurs through same door. Factor for Alighting Middle and Rear Door is 0.68 seconds per passenger, plus 20% to 0.82 if significant boarding through same door. Door Closure of 2 seconds is based on TCRP statistics as well as review of original NYCT data.  ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Alighting (front door)",null,1.28,1.54,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Alighting (rear&middle door)",null,0.68,0.82,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Door Closure",null,2,2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"B. NYC Transit Bus Boarding Spreadsheet: A 2-Door Scenario Constructed by Komanoff",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"The data in Part A assume a bus with three doors. That assumption would overstate the savings in dwell time from eliminating fare collection for buses with two doors. (The three-door scenario presumably was constructed to model a Bus Rapid Transit system with pre-payment that mimics subway cars.) Below, we modified the NYCT three-door scenario for two doors only. Accordingly, what follows is our own rendition of the NYCT spreadsheet, which we have strived to make as reasonable as possible.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,"Assumed Boarding & Alighting Distribution\n(text reproduced from NYCT spreadsheet)",null,null,null,null,null,"Boarding distribution, est'd by Komanoff, assumes 60% of passengers board through front door and 40% through rear door. Alighting distribution assumes 20% of passengers exit from front door and 80% from rear door.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"First three columns sum respective front, middle and rear door times to simultaneously board and alight. Last column selects maximum figure.",null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,"Actual Travel Time, Dwell Time, and Passenger Data (measured by NYCT)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,"Scenario CK: Low Floor Vehicle, Two Doors, Boarding All Doors, Alighting All Doors, Pre-Pay Fare Payment",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"This entire array presents our adapation of NYCT measurements from 2007 to a 2-door scenario",null,null,null,null,null,null,"Scenario CK:  Low Floor Vehicle, Two Doors, Boarding All Doors, Alighting All Doors, Pre-Pay Fare Payment",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Front Door Dwell Time (Boarding + Alighting + Door Closure) [seconds]","Middle Door Dwell Time (Boarding Alighting + Door Closure) [seconds]","Rear Door Dwell Time (Boarding + Alighting + Door Closure) [seconds]","Max. Dwell Time for all doors (Front, Middle, Rear) [seconds]\n(A new data column by Komanoff)",null,{"$f":"ROW()","v":86}]
[null,null,"These six columns are reproduced exactly from the MTA's spreadsheet",null,null,null,null,null,null,null,null,null,null,null,"Enter min or max in cell at right to choose MTA's \"minimum\" or \"maximum\" boarding times.",null,null,null,null,null,null,null,{"$f":"$J$126","v":"max"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,{"$f":"CONCATENATE(\"Note: Row \",AG92, \", below, w/ 17 boarders in 19 seconds, strains credulity.\")","v":"Note: Row 92, below, w/ 17 boarders in 19 seconds, strains credulity."},null,null,null,null,null,"Assumed  Boarding and Alighting Distribution",null,null,null,null,null,"Boarding Front Factor, Seconds / Rider","Estimated Boarding Front Time [seconds]","Alighting Front Factor, Seconds / Rider "," Estimated Alighting Time Front [seconds]","Boarding Middle Factor, Seconds / Rider","Estimated Boarding Middle Time [seconds]","Alighting Middle Factor, Seconds / Rider","Estimated Alighting Middle Rear [seconds]","Boarding Rear Factor, Seconds / Rider","Estimated Boarding Rear Time [seconds]","Alighting Rear Factor, Seconds / Rider "," Estimated Alighting Time Rear [seconds]","Door Closure Time [seconds]",null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,"Arrival Time ","Loading Com-pletion Time","Departure Time ","Total Dwell Time mm:ss","Number Boarding","Number Alighting ","# Boarding thru Front [assumed 60%]"," # Boarding thru Middle [assumed zero]"," # Boarding thru Rear [remaining 40%]","# Alighting thru Front [assumed 20%]"," # Alighting thru Middle  [assumed zero]","# Alighting thru Rear  [remaining 80%]",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Bus Stop ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Broadway and W 207th St ",38449.390289351853,38449.390497685185,38449.390509259261,{"$f":"E92-C92","v":"00:00:19"},17,0,{"$f":"ROUND(G92*0.6,0)","v":10},0,{"$f":"G92-I92","v":7},{"$f":"ROUND(H92*0.2,0)","v":0},0,{"$f":"H92-L92","v":0},{"$f":"IF($W$87=\"min\",$V$29,IF($W$87=\"max\",$W$29,\"error\"))","v":1.06},{"$f":"O92*I92","v":10.600000000000001},{"$f":"IF($W$87=\"min\",$V$30,IF($W$87=\"max\",$W$30,\"error\"))","v":1.54},{"$f":"Q92*L92","v":0},{"$f":"IF($W$87=\"min\",$V$29,IF($W$87=\"max\",$W$29,\"error\"))","v":1.06},{"$f":"S92*J92","v":0},{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},{"$f":"U92*M92","v":0},{"$f":"IF($W$87=\"min\",$V$29,IF($W$87=\"max\",$W$29,\"error\"))","v":1.06},{"$f":"W92*K92","v":7.42},{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},{"$f":"Y92*N92","v":0},{"$f":"IF($W$87=\"min\",$V$32,IF($W$87=\"max\",$W$32,\"error\"))","v":2},{"$f":"P92+R92+AA92","v":12.600000000000001},{"$f":"T92+V92+AA92","v":2},{"$f":"X92+Z92+AA92","v":9.42},{"$f":"MAX(AB92:AD92)","v":12.600000000000001},null,{"$f":"ROW()","v":92}]
[null,"W 207th St and Sherman Av ",38449.392442129632,38449.393009259256,38449.393078703702,"00:00:55",8,0,{"$f":"ROUND(G93*0.6,0)","v":5},0,{"$f":"G93-I93","v":3},{"$f":"ROUND(H93*0.2,0)","v":0},0,{"$f":"H93-L93","v":0},1.06,5.3000000000000007,1.54,0,1.06,0,0.82,0,1.06,3.18,{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},0,2,7.3000000000000007,2,5.18,7.3000000000000007,null,{"$f":"ROW()","v":93}]
[null,"W 207th St and 10th Av ",38449.394131944442,38449.394745370373,38449.394803240742,"00:00:58",11,1,7,0,4,0,0,1,1.06,7.42,1.54,0,1.06,0,0.82,0,1.06,4.24,{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},0.82,2,9.42,2,7.0600000000000005,9.42,null,{"$f":"ROW()","v":94}]
[null,"W Fordham Rd and Cedar Av ",38449.395844907405,"n/a",38449.395856481482,"00:00:01",0,0,0,0,0,0,0,0,1.06,0,1.54,0,1.06,0,0.82,0,1.06,0,{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},0,2,2,2,2,2,null,{"$f":"ROW()","v":95}]
[null,"W Fordham Rd and Sedgwick Av ",38449.396736111114,38449.397372685184,38449.397418981483,"00:00:59",9,1,5,0,4,0,0,1,1.06,5.3000000000000007,1.54,0,1.06,0,0.82,0,1.06,4.24,{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},0.82,2,7.3000000000000007,2,7.0600000000000005,7.3000000000000007,null,{"$f":"ROW()","v":96}]
[null,"W Fordham Rd and University Av ",38449.398842592593,38449.399606481478,38449.399675925924,"00:01:12",14,3,8,0,6,1,0,2,1.06,8.48,1.54,1.54,1.06,0,0.82,0,1.06,6.36,{"$f":"IF($W$36=\"min\",$V$31,IF($W$36=\"max\",$W$31,\"error\"))","v":0.82},1.64,2,12.02,2,10,12.02,null,{"$f":"ROW()","v":97}]
[null,"E Fordham Rd and Jerome Av ",38449.400613425925,38449.401666666665,38449.401759259257,"00:01:39",24,10,14,0,10,2,0,8,1.06,14.84,1.54,3.08,1.06,0,0.82,0,1.06,10.600000000000001,{"$f":"IF($W$87=\"min\",$V$31,IF($W$87=\"max\",$W$31,\"error\"))","v":0.82},6.56,2,19.920000000000002,2,19.16,19.920000000000002,null,{"$f":"ROW()","v":98}]
[null,"E Fordham Rd and Valentine Av ",38449.402870370373,38449.403969907406,38449.403993055559,"00:01:37",19,17,11,0,8,3,0,14,1.06,11.66,1.54,4.62,1.06,0,0.82,0,1.06,8.48,0.82,11.479999999999999,2,18.28,2,21.96,21.96,null,{"$f":"ROW()","v":99}]
[null,"E Fordham Rd and Fordham Plz ",38449.405497685184,38449.407048611109,38449.407106481478,"00:02:19",23,30,14,0,9,6,0,24,1.06,14.84,1.54,9.24,1.06,0,0.82,0,1.06,9.5400000000000009,0.82,19.68,2,26.08,2,31.22,31.22,null,{"$f":"ROW()","v":100}]
[null,"E Fordham Rd and Southern Bl ",38449.410324074073,38449.410590277781,38449.410613425927,"00:00:25",3,5,2,0,1,1,0,4,1.06,2.12,1.54,1.54,1.06,0,0.82,0,1.06,1.06,0.82,3.28,2,5.66,2,6.34,6.34,null,{"$f":"ROW()","v":101}]
[null,"Pelham Pky and White Plains Rd ",38449.41443287037,38449.415092592593,38449.415162037039,"00:01:03",16,15,10,0,6,3,0,12,1.06,10.600000000000001,1.54,4.62,1.06,0,0.82,0,1.06,6.36,0.82,9.84,2,17.220000000000002,2,18.2,18.2,null,{"$f":"ROW()","v":102}]
[null,"Pelham Pky and Williamsbridge Rd ",38449.417187500003,38449.417824074073,38449.41783564815,"00:00:56",7,13,4,0,3,3,0,10,1.06,4.24,1.54,4.62,1.06,0,0.82,0,1.06,3.18,0.82,8.1999999999999993,2,10.86,2,13.379999999999999,13.379999999999999,null,{"$f":"ROW()","v":103}]
[null,"Pelham Pky and Jacobi Hosp ",38449.419479166667,38449.41988425926,38449.419988425929,"00:00:44",0,20,0,0,0,4,0,16,1.06,0,1.54,6.16,1.06,0,0.82,0,1.06,0,0.82,13.12,2,8.16,2,15.12,15.12,null,{"$f":"ROW()","v":104}]
[null,"Pelham Pky and Eastchester Rd ",38449.420682870368,38449.421041666668,38449.421041666668,"00:00:31",3,7,2,0,1,1,0,6,1.06,2.12,1.54,1.54,1.06,0,0.82,0,1.06,1.06,0.82,4.92,2,5.66,2,7.98,7.98,null,{"$f":"ROW()","v":105}]
[null,"Pelham Pky and Stillwell Av ",38449.421701388892,38449.421863425923,38449.421886574077,"00:00:16",1,1,1,0,0,0,0,1,1.06,1.06,1.54,0,1.06,0,0.82,0,1.06,0,0.82,0.82,2,3.06,2,2.82,3.06,null,{"$f":"ROW()","v":106}]
[null,"Pelham Pky and St. Paul Av ",38449.422986111109,38449.423067129632,38449.423113425924,"00:00:11",7,1,4,0,3,0,0,1,1.06,4.24,1.54,0,1.06,0,0.82,0,1.06,3.18,0.82,0.82,2,6.24,2,6,6.24,null,{"$f":"ROW()","v":107}]
[null,"Charels  Crimi Rd and Subway Overpass ",38449.424074074072,38449.424675925926,38449.424687500003,"00:00:53",0,15,0,0,0,3,0,12,1.06,0,1.54,4.62,1.06,0,0.82,0,1.06,0,0.82,9.84,2,6.62,2,11.84,11.84,null,{"$f":"ROW()","v":108}]
[null,"Baychester Av and N.E. Thruway Exit Ra ",38449.428020833337,38449.42827546296,38449.428287037037,"00:00:23",0,0,0,0,0,0,0,0,1.06,0,1.54,0,1.06,0,0.82,0,1.06,0,0.82,0,2,2,2,2,2,null,{"$f":"ROW()","v":109}]
[null,"Bay Plaza Bl and Opp Barnes & Nobles ",38449.428472222222,"n/a",38449.428877314815,"00:00:35",0,8,0,0,0,2,0,6,1.06,0,1.54,3.08,1.06,0,0.82,0,1.06,0,0.82,4.92,2,5.08,2,6.92,6.92,null,{"$f":"ROW()","v":110}]
[null,"Bay Plaza Bl and IFO JC Penney ",38449.429143518515,38449.429375,"Terminus ",{"$f":"D111-C111","v":"00:00:20"},0,18,0,0,0,4,0,14,1.06,0,1.54,6.16,1.06,0,0.82,0,1.06,0,0.82,11.479999999999999,2,8.16,2,13.479999999999999,13.479999999999999,null,{"$f":"ROW()","v":111}]
[null,"T O T A L S","Total Actual Trip Time:",null,{"$f":"D111-C92","v":"00:56:17"},{"$f":"SUM(F92:F111)","v":"00:16:16"},162,165,97,0,65,33,0,132,null,{"$f":"SUM(P92:P111)","v":102.82},null,{"$f":"SUM(R92:R111)","v":50.819999999999993},null,{"$f":"SUM(T92:T111)","v":0},null,{"$f":"SUM(V92:V111)","v":0},null,{"$f":"SUM(X92:X111)","v":68.900000000000006},null,{"$f":"SUM(Z92:Z111)","v":108.24000000000001},null,{"$f":"SUM(AB92:AB111)","v":193.64000000000004},{"$f":"SUM(AC92:AC111)","v":40},{"$f":"SUM(AD92:AD111)","v":217.13999999999996},{"$f":"SUM(AE92:AE111)","v":228.29999999999998},null,{"$f":"ROW()","v":112}]
[null,"TOTALS converted to seconds",null,null,"Total Dwell Time, sec., currently",{"$f":"(TEXT(F112,\"[s]\")+0)","v":976},{"$f":"G112/COUNT(G92:G111)","v":8.1},{"$f":"H112/COUNT(H92:H111)","v":8.25},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"INT(AE112/60)&\" Minutes, \"&ROUND(MOD(AE112,60),0)&\" Seconds\"","v":"3 Minutes, 48 Seconds"},null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,"Above are #'s per stop",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"% Reduction in Total Dwell Time for a 2-door NYCT bus",null,null,null,{"$f":"1-AE112/F113","v":0.76608606557377046},"(one minus ratio of total dwell time in column AE to dwell time in column F)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"(adapted from NYCT's Scenario E2, shown above, for a 3-door bus)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"C. Impact of Fare-Free Boarding (based on our distillation of NYCT Spreadsheet)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,"Current situation, measured by MTA, shown in \"Actual Travel Time\" columns in Parts A and B, above.",null,"NYCT's \"Scenario E2: Low Floor Vehicle, Three Doors, Boarding All Doors, Alighting All Doors, Pre-Pay Fare Payment\" modified to two doors in Part B, above, with boarding / alighting factors set to min or max.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"This part assumes fare-free boarding",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,"A","B",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Fare-Free Boarding Impact Only",null,null,null,null,null,null,null,"max",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,{"$f":"CONCATENATE(\"Total Observed Time for 'A' (in minutes and seconds, from Row \",AG112, \").\")","v":"Total Observed Time for 'A' (in minutes and seconds, from Row 112)."},null,null,null,null,null,null,{"$f":"E112","v":"00:56:17"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Total Trip Time Observed for \"A\" (above value, in seconds)",null,null,null,null,null,null,{"$f":"(TEXT(I127,\"[s]\")+0)","v":3377},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,{"$f":"CONCATENATE(\"Dwell Times (in minutes and seconds, also from Row \",AG112, \").\")","v":"Dwell Times (in minutes and seconds, also from Row 112)."},null,null,null,null,null,null,{"$f":"F112","v":"00:16:16"},{"$f":"AE112/1440","v":"03:48:18"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Dwell Time (above values, in seconds)",null,null,null,null,null,null,{"$f":"F113","v":976},{"$f":"AE112","v":228.29999999999998},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Dwell Time, % of total trip time (not used in any subsequent calculation, but an interesting figure)",null,null,null,null,null,null,{"$f":"I130/I128","v":0.28901391767841278},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Saved Dwell Time from eliminating fare payment (in seconds) (difference betw Cols A & B dwell times)",null,null,null,null,null,null,null,{"$f":"$I130-J130","v":747.7},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"% of Dwell Time saved by eliminating fare payment (Row \",AG132,\" divided by Row \",AG130,\").\")","v":"% of Dwell Time saved by eliminating fare payment (Row 132 divided by Row 130)."},null,null,null,null,null,null,null,{"$f":"J132/$I$130","v":0.76608606557377057},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"Implied Traveling Time in any scenario (in seconds; difference between Rows \",AG128, \" and \",AG130, \").\")","v":"Implied Traveling Time in any scenario (in seconds; difference between Rows 128 and 130)."},null,null,null,null,null,null,{"$f":"I128-I130","v":2401},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,{"$f":"CONCATENATE(\"% of Total Trip Time Eliminated by Saved Dwell Time (Row \",AG132, \" 'B' Col. divided by Row \",AG128, \" 'A' Col.)\")","v":"% of Total Trip Time Eliminated by Saved Dwell Time (Row 132 'B' Col. divided by Row 128 'A' Col.)"},null,null,null,null,null,null,null,{"$f":"J132/$I$128","v":0.22140953509031686},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,{"$f":"CONCATENATE(\"Implied Improvement in Bus Speeds (one less than reciprocal of complement of Row \",AG135, \" figure)\")","v":"Implied Improvement in Bus Speeds (one less than reciprocal of complement of Row 135 figure)"},null,null,null,null,null,null,null,{"$f":"1/(1-J135)-1","v":0.28437226638268753},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Add Impact of Reduced Traffic",null,null,null,null,null,null,null,"We are revising this. Do not use or cite. -- CK, 3-14-2017.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"% Change in Auto Travel due to traffic plan selected (in Results worksheet) by user (from VMT worksheet)",null,null,null,null,null,null,null,{"$f":"VMT!J21","v":-3.5494094878081292E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Autos' share of citywide VMT (Schaller, \"City in Flux,\" 2007, p. 5: \"Autos account for est' 75% of VMT in the 5 boroughs\")",null,null,null,null,null,null,null,0.75,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"% Reduction in non-auto travel (cabs, trucks, buses), relative to auto VMT reduction (Komanoff est.)",null,null,null,null,null,null,null,0.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,{"$f":"CONCATENATE(\"% Change in non-auto travel due to traffic plan selected (product of Rows \",AG139, \" and \",AG141, \").\")","v":"% Change in non-auto travel due to traffic plan selected (product of Rows 139 and 141)."},null,null,null,null,null,null,null,{"$f":"J139*J141","v":-1.7747047439040646E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"% Change in citywide VMT due to traffic plan selected by user (wghtd avg using above %'s)",null,null,null,null,null,null,null,{"$f":"J139*J140+J142*(1-J140)","v":-3.1057333018321129E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"% Reduction in Bus Travel Time due to traffic plan (excludes wait time)",null,null,null,"Here we assume 1-to-1 relation betw % changes in VMT and travel times",null,null,null,{"$f":"-J143","v":3.1057333018321129E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,{"$f":"CONCATENATE(\"Saved Time (in seconds) from Reduced traffic (prior % x Row \",AG134,\")\")","v":"Saved Time (in seconds) from Reduced traffic (prior % x Row 134)"},null,null,null,null,null,null,null,{"$f":"$J$144*$I$134","v":74.568656576989028},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Travel Time w/ selected traffic plan VMT (in seconds) (Row \",AG134, \" less Row \",AG145, \")\")","v":"Travel Time w/ selected traffic plan VMT (in seconds) (Row 134 less Row 145)"},null,null,null,null,null,null,null,{"$f":"$I$134-J145","v":2326.4313434230112},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,{"$f":"CONCATENATE(\"Total Trip Time, in seconds, with traffic plan (sum of Rows \",AG146, \" and \",AG130, \")\")","v":"Total Trip Time, in seconds, with traffic plan (sum of Rows 146 and 130)"},null,null,null,null,null,null,null,{"$f":"J130+J146","v":2554.7313434230114},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Total Time Saved, in seconds, w/ traffic plan (difference betw Rows \",AG128, \" and \",AG147, \"; is also sum of Rows \",AG132, \" and \",AG145,\")\")","v":"Total Time Saved, in seconds, w/ traffic plan (difference betw Rows 128 and 147; is also sum of Rows 132 and 145)"},null,null,null,null,null,null,null,{"$f":"$I$128-J147","v":822.26865657698863},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Above, as % of baseline bus travel time",null,null,null,null,null,null,null,{"$f":"J148/$I$128","v":0.24349086662036976},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"D. Reduce for Conservatism (Bx12 used as basis has greater-than-average dwell time (is system's 5th busiest); and also on general principles)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"This part does not assume fare-free boarding, since that applies if and only if user-chosen scenario includes free buses",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,"We are revising this. Do not use or cite. -- CK, 3-14-2017.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Percentage by which we elect to reduce the savings in dwell time shown in Row \",AG132, \", for conservatism\")","v":"Percentage by which we elect to reduce the savings in dwell time shown in Row 132, for conservatism"},null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,{"$f":"CONCATENATE(\"Adjusted savings in dwell time if fare-free boarding, seconds (product of Row \",AG132,\" and complement of Row \",AG154,\")\")","v":"Adjusted savings in dwell time if fare-free boarding, seconds (product of Row 132 and complement of Row 154)"},null,null,null,null,null,null,null,{"$f":"J132*(1-J154)","v":747.7},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"% of NYC Transit buses assumed to have on-board fare payment (assumption from 'Policy Levers' tab, Row \",'Policy Levers'!O240, \".\")","v":"% of NYC Transit buses assumed to have on-board fare payment (assumption from 'Policy Levers' tab, Row 240."},null,null,null,null,null,null,null,{"$f":"'Policy Levers'!K240","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,{"$f":"CONCATENATE(\"Average saving in dwell time from fare-free boarding, seconds (product of Rows \",AG155,\" and \",AG156,\").\")","v":"Average saving in dwell time from fare-free boarding, seconds (product of Rows 155 and 156)."},null,null,null,null,null,null,null,{"$f":"J155*J156","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"Saved time (in seconds) from reduced traffic (copied from Row \",AG145,\")\")","v":"Saved time (in seconds) from reduced traffic (copied from Row 145)"},null,null,null,null,null,null,null,{"$f":"J145","v":74.568656576989028},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Adjusted total savings in travel time (sum of Rows \",AG156, \" and \",AG145, \")\")","v":"Adjusted total savings in travel time (sum of Rows 156 and 145)"},null,null,null,null,null,null,null,{"$f":"J157+J145","v":74.568656576989028},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Total time savings as % of baseline bus travel time",null,null,null,{"$f":"CONCATENATE(\"(Row \",AG159,\" divided by Row \",AG128,\")\")","v":"(Row 159 divided by Row 128)"},null,null,null,{"$f":"J159/$I$128","v":2.2081331530053015E-2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Same as above, from dwell time only (excludes effect of lighter traffic)",null,null,null,{"$f":"CONCATENATE(\"(Row \",AG157,\" divided by Row \",AG128,\")\")","v":"(Row 157 divided by Row 128)"},null,null,null,{"$f":"J157/$I$128","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"% of bus rider time savings attributable to on-board fare payment",null,null,null,{"$f":"CONCATENATE(\"(Row \",AG161,\" divided by Row \",AG160,\")\")","v":"(Row 161 divided by Row 160)"},null,null,null,{"$f":"J161/J160","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"Note: For NYCDOT's video documentation of boarding-time savings from prepaying bus fares, see: http://www.nyc.gov/html/dot/html/ferrybus/selectbusservice.shtml (last accessed 24-April-2009).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"Note: Daily News May 26, 2009 has article re new buses w/ easier exit-door operation which should reduce boarding gridlock and, hence, time savings from fare elimination. See link:",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"http://www.nydailynews.com/ny_local/2009/05/26/2009-05-26_new_buses_feature_exit_sensors.html",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]

{"sheet":"Fare Collection","index":36,"n_rows":141,"n_cols":11,"rows_kept":141,"cut":false,"hidden":false,"merged":[[111,1,112,9],[42,1,43,9],[46,1,47,9],[55,1,57,9],[3,1,4,9],[19,1,21,9],[9,1,10,9],[32,1,34,9],[68,1,69,9],[60,1,61,9],[6,1,7,9]]}
[null,"Fare Collection",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[null,"This worksheet estimated savings in administrative and personnel costs from eliminating fares on NYC Transit buses and, perhaps, subways, as part of a plan to reduce/eliminate transit fares."]
[]
[]
[null,"I use past tense above because this worksheet has not been updated (except for a few superficial updates) from earliy 2008, due to the refocus of my work (and the BTA) from free transit to investing in transit improvements."]
[]
[]
[null,"Note that the indirect, \"second-best\" estimating methods used here were necessitated by New York City Transit's failure to respond to repeated data requests."]
[]
[]
[null,"All figures are annual."]
[]
[null,"A. Subway Fare Collection Costs -- 3 Ways to Estimate"]
[]
[null,"Method 1: Prorating/Updating from a 1982 Estimate"]
[]
[null,"Subway fare collection costs as % of collected revenue (1982)",null,null,null,null,null,null,null,0.19]
[null,"Source: PCAC (Permanent Citizens Advisory Committee to the MTA) report, “Four Methods of Increasing Productivity in the MTA: Pass-Reader Fare Collection System, One-Person Train Operation, Signal Modernization, Articulated Bus,” prepared by Victor M. Lopez-Balboa, Oct. 1982, p. 3."]
[]
[]
[]
[null,"Current (2018) subway farebox revenues",null,null,null,null,null,null,null,{"$f":"Subways!N12*1000000","v":3433554000}]
[null,{"$f":"CONCATENATE(\"Projected 2018 revenues, from 'Subways' tab, Cell N\",Subways!O27, \".\")","v":"Projected 2018 revenues, from 'Subways' tab, Cell N27."}]
[]
[null,"Current (2007) subway fare collection costs if 1982 relationship pertains",null,null,null,null,null,null,null,{"$f":"ROUND(J19*J24,-6)","v":652000000}]
[]
[null,"Method 2: \"Bottoms-Up\" Calculation, based on 1985 token booth staffing levels and costs"]
[]
[null,"Personnel to staff NYC Transit token booths in 1985",null,null,null,null,null,null,null,3834]
[null,"Number of stations in 1985",null,null,null,null,null,null,null,463]
[null,"Dec. 11. 1985 draft report by Ned Towle, Director, NYCTA Dept. of Planning and Budget. According to that report, in 1985 the transit system operated 463 stations with 516 24-hour change booths and an additional 237 part-time booths (p. 19), staffed by 3,834 hourly-rated employees (p.37)."]
[]
[]
[]
[null,"Number of stations in 2007",null,null,null,null,null,null,null,468]
[null,"MTA 2007 Budget, section entitled NYC Transit (see full cite above for Farebox Revenues), p. V-231."]
[]
[null,"Personnel to staff NYC Transit token booths currently, if 1985 relationships pertain",null,null,null,null,null,null,null,{"$f":"J37/J32*J31","v":3875.4038876889849}]
[]
[null,"NYC Transit total personnel cost, 2007",null,null,null,null,null,null,null,4829600000]
[null,"MTA 2007 Budget, section entitled NYC Transit (see full cite above), p. V-245, table, \"Non-Reimbusable and Reimbursable,\" column, \"2007 November Forecast.\""]
[]
[]
[null,"NYC Transit, number of personnel (positions), 2007",null,null,null,null,null,null,null,49069]
[null,"MTA 2007 Budget, section entitled NYC Transit (see full cite above), p. V-231; also p. V-321, column, \"2007 November Forecast.\""]
[]
[]
[null,"Total labor cost per position, 2007",null,null,null,null,null,null,null,{"$f":"ROUND(J42/J46,-2)","v":98400}]
[]
[null,"Implied cost of personnel to staff NYC Transit token booths in 2007",null,null,null,null,null,null,null,{"$f":"ROUND(J50*J40,-6)","v":381000000}]
[]
[null,"Method 3: More Realistic Estimates of Number of Station Agents and Their Salaries"]
[]
[null,"Results from Methods 1 & 2 above agree to within 1%. However, both methods implicitly assume same level of staffing (per station) in 2007 as in 1980s. Method 2 also assumes that token-booth clerk salaries are average for entire NYCT. Here, we reconsider both assumptions."]
[]
[]
[]
[null,"Assumed reduction in token booth positions from 1985 basis",null,null,null,null,null,null,null,0.15]
[null,"Komanoff assumption, intended to reflect NYCT's cost-cutting. Note Gothamist's 12-26-07 mention of \"2005 … closing [of] 164 token booths.\" http://gothamist.com/2007/12/26/mta_spends_25_m.php."]
[]
[]
[null,"Now attempt to derive annual fully-loaded cost for token booth clerks"]
[]
[null,"Published 2004 per-hour salaries for station agents"]
[null,"  Starting",null,null,null,null,null,null,null,15.46]
[null,"  After 3 years",null,null,null,null,null,null,null,21.642499999999998]
[null,"City of New York, Dept. of Citywide Admin Services, Notice of Examination, No. 3025, Station Agent, Jan. 2004, available at http://www.nyc.gov/html/dcas/downloads/pdf/noes/stationagent.pdf."]
[]
[]
[null,"Inflation factor to 2007",null,null,null,null,null,null,null,{"$f":"208.3/185.2","v":1.1247300215982723}]
[null,"CPI ratio, July 2007 vs. Jan. 2004."]
[]
[null,"2007-adjusted per-hour salary (75% senior rate, 25% starting rate)",null,null,null,null,null,null,null,{"$f":"(3*J68+1*J67)/4*J72","v":22.603558652807774}]
[]
[null,"Labor Cost breakout (all costs are from MTA 2007 Budget table sourced above, under total personnel cost, 2007)"]
[null,"  Total",null,null,null,null,null,null,null,{"$f":"J42","v":4829600000}]
[null,"  Payroll",null,null,null,null,null,null,null,2979300000]
[null,"  Overtime",null,null,null,null,null,null,null,328600000]
[null,"  Total Salary and Wages",null,null,null,null,null,null,null,{"$f":"J79+J80","v":3307900000}]
[null,"    Total Salary and Wages, ratio to Payroll (i.e., Overtime adder)",null,null,null,null,null,null,null,{"$f":"J81/J79","v":1.1102943644480248}]
[null,"  Total Fringe Benefits (Health & Welfare, Pensions, Other)",null,null,null,null,null,null,null,1521700000]
[null,"  Labor Total, ratio to Payroll (i.e., Overtime + Fringe adder)",null,null,null,null,null,null,null,{"$f":"J78/J79","v":1.6210519249488136}]
[null,"  Labor Total, ratio to Payroll + Overtime (i.e., Fringe adder)",null,null,null,null,null,null,null,{"$f":"J78/J81","v":1.4600199522355573}]
[]
[null,"2007-adjusted, all-in per-hour salary",null,null,null,null,null,null,null,{"$f":"J75*J84","v":36.64154226482745}]
[null,"Calculated as 2007-adjusted per-hour salary, times ratio of Labor Total to Payroll"]
[]
[null,"Hours worked (Komanoff assumptions: 50 weeks, 40 hrs/wk)",null,null,null,null,null,null,null,{"$f":"50*40","v":2000}]
[]
[null,"2007-adjusted, all-in per-hour salary (After 3 Years only)",null,null,null,null,null,null,null,{"$f":"ROUND(J87*J90,-3)","v":73000}]
[]
[null,"This figure matches a \"data point\" in New York magazine, Sept. 18, 2005:"]
[null,"Annual Salary, station agent Annette Sutton-Epps",null,null,null,null,null,null,null,46363]
[null,"\"Who Makes How Much,\" http://nymag.com/guides/salary/14497/index5.html."]
[null,"Inflation adjustment, 2005 to 2007 (using CPI)",null,null,null,null,null,null,null,{"$f":"208.3/195.4","v":1.0660184237461618}]
[null,"Salary, adjusted to 2007",null,null,null,null,null,null,null,{"$f":"J95*J97","v":49423.812180143301}]
[null,"Adjustment for Fringe Benefits (ratio of Labor Total to Total Salary and Wages, above)",null,null,null,null,null,null,null,{"$f":"J85","v":1.4600199522355573}]
[null,"All-in Salary, adjusted to 2007",null,null,null,null,null,null,null,{"$f":"ROUND(J98*J99,-3)","v":72000}]
[]
[null,"Now calculate token booth staffing points @ reduced salary & reduced number of personnel"]
[]
[null,"Personnel to staff NYC Transit token booths currently, incorporating above reduxn",null,null,null,null,null,null,null,{"$f":"J40*(1-J60)","v":3294.0933045356369}]
[null,"Est'd annual all-in personnel cost (average of two methods above)",null,null,null,null,null,null,null,{"$f":"AVERAGE(J100,J92)","v":72500}]
[null,"Product of these two figures",null,null,null,null,null,null,null,{"$f":"J104*J105","v":238821764.57883367}]
[null,"Above, rounded",null,null,null,null,null,null,null,{"$f":"ROUND(J106,-6)","v":239000000}]
[]
[null,"4. Savings from Eliminating Subway Fare"]
[]
[null,"% of current fare collection cost that could be retained as savings, if fare eliminated",null,null,null,null,null,null,null,0.5]
[null,"Komanoff assumption, in lieu of input from NYC Transit, intended to balance ability to eliminate many positions with real-world challenges of retraining and redeploying current station agents."]
[]
[]
[null,"Savings from Eliminating Subway Fare",null,null,null,null,null,null,null,null,{"$f":"ROUND(IF(Revenues!G124=0,J111*J107,0),-6)","v":0}]
[null,"Formula uses logic statement that sets result to zero unless fare is eliminated."]
[]
[null,"B. Maintenance of Subway & Bus Fare Collection Machinery"]
[]
[null,"1. Subway Machinery Annual Maintenance",null,null,null,null,null,null,null,20000000]
[null,"Komanoff assumption. Primarily for vending machines, gates, etc. Turnstiles are assumed to be kept, for data purposes."]
[null,"Maintenance Savings from Eliminating Subway Fare",null,null,null,null,null,null,null,null,{"$f":"IF(Revenues!G124=0,J120,0)","v":0}]
[]
[null,"2. Bus Machinery Annual Maintenance (derived directly below)",null,null,null,null,null,null,null,{"$f":"ROUND(J129*J130,-6)","v":29000000}]
[null,"Number of NYC Transit buses",null,null,null,null,null,null,null,4518]
[null,"2006 figure, from http://www.mta.info/nyct/facts/ffbus.htm."]
[null,"Number of MTA Bus Co. buses",null,null,null,null,null,null,null,1250]
[null,"http://mta.info/mta/budget/nov2007/part7.pdf."]
[null,"Total number of buses whose fare-collection machinery must be maintained by MTA",null,null,null,null,null,null,null,{"$f":"J125+J127","v":5768}]
[null,"Assumed annual maintenance cost per bus",null,null,null,null,null,null,null,5000]
[null,"Maintenance Savings from Eliminating Bus Fare",null,null,null,null,null,null,null,null,{"$f":"IF(Revenues!J124=0,J124,0)","v":0}]
[]
[null,"C. MTA Administrative Costs Associated with Fare Collection",null,null,null,null,null,null,null,5000000]
[null,"Komanoff assumption. "]
[null,"Administrative Savings from Eliminating Transit Fare",null,null,null,null,null,null,null,null,{"$f":"IF(Revenues!G124=0,J133,0)","v":0}]
[null,"Formula uses logic statement that sets result to zero unless fare is eliminated."]
[]
[null,"D. Total Savings from Eliminating Bus and/or Subway Fares",null,null,null,null,null,null,null,null,{"$f":"K115+K122+K131+K135","v":0}]
[]
[null,"E. Total Savings from Kheel Plan",null,null,null,null,null,null,null,null,{"$f":"IF('Policy Levers'!I234=0,K131,0)+IF(Subways!X141<=0.02,K122+K115,0)+IF(AND('Policy Levers'!I234=0,Subways!X141<=0.02),K135,0)","v":0}]
[null,"Formula uses logic statements that select for free buses and/or subways."]

{"sheet":"Bicycles","index":37,"n_rows":512,"n_cols":41,"rows_kept":512,"cut":false,"hidden":false,"merged":[[204,1,207,9],[267,16,269,22],[112,12,115,12],[3,1,8,9],[112,6,115,6],[112,7,115,7],[112,8,115,8],[112,9,115,9],[95,1,97,9],[101,1,109,9],[112,10,115,10],[112,11,115,11],[114,1,115,3],[39,1,40,11],[132,1,134,9],[138,1,139,9],[252,13,254,13],[272,4,280,5],[118,1,119,9],[252,9,254,9],[144,6,144,12],[256,11,267,12],[209,3,211,9],[191,1,194,9],[161,6,161,11],[145,1,147,9],[145,10,146,11],[175,6,176,11],[181,6,182,10],[185,6,186,10],[224,1,225,8],[230,1,231,8],[326,38,326,39],[288,18,288,22],[295,23,296,23],[291,19,299,19],[294,32,295,33],[297,23,299,23],[297,32,299,32],[297,33,299,33],[289,21,299,21],[296,18,299,18],[293,20,299,20],[305,38,306,45],[292,11,298,12],[288,7,288,11],[290,7,290,11],[316,10,318,11],[293,1,295,9],[257,1,258,9],[275,22,276,22],[330,1,331,6],[332,1,333,6],[334,1,335,6],[287,18,287,22],[291,17,296,17],[297,17,299,17],[275,19,276,19],[275,20,276,20],[275,21,276,21],[270,19,271,19],[270,20,271,20],[270,21,271,21],[270,22,271,22],[301,12,303,13],[336,1,338,6],[304,12,304,13],[320,8,320,11],[311,1,312,9],[316,12,318,12],[316,8,318,9]]}
[null,"Bicycles",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet, still in formation, and badly out of date at this writing (June 2019), is intended to enable the BTA to address (i) changes in overall bicycle volumes in NYC due to reduced traffic volumes from implementing new tolls; (ii) same as (i), but focusing on bicycle volumes wihin the Manhattan Central Business District (CBD); (iii) extent to which increased bicycle use will affect the taxicab and transit sectors; (iv) prospective benefits and costs of NYCDOT BikeShare program; (v) changes in New Yorkers' mortality from increased cycling volumes in recent years; (vi) impacts on traffic flow of dedicating street space to bicycles, particularly within the CBD, both retrospectively and prospectively.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Click here to go to Section on Citibike Usage",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Click here to go to Section on Citibike Stations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Click here to go to Section on NYC Cycling Volumes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Click here for subsection on Cycling Volumes on the four East River bridges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Click here to see Effect of Pricing on NYC Cycling Volumes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Click here to see Cycling's Effect on Other Travel Modes Citywide and in CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Click here for Estimates of Change in NYC Mortality Due to Change in Cycling Volumes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Click here to go to Regression Model of Safety-in-Numbers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"A. Citibike Usage ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Average daily number of Citibike rides, 2014 (weekdays only)",null,null,null,null,null,null,null,null,null,null,24839,null,{"$f":"ROW()","v":23}]
[null,"Calculated by Komanoff from Citibike data downloaded from https://www.citibikenyc.com/system-data, 6 August 2015. Covers every M-F in 2014 (so includes some holidays).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Average daily miles ridden on Citibike rides, 2014 (weekdays only)",null,null,null,null,null,null,null,null,null,null,40514,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"See Row \",O24, \".\")","v":"See Row 24."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Share of 2014 Citibike miles ridden in Manhattan CBD",null,null,null,null,null,null,null,null,null,null,0.9,null,{"$f":"ROW()","v":27}]
[null,"Komanoff assumption, based on preponderance of Citibike stations in Manhattan, all of which are south of 60th Street.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Average daily miles ridden on Citibike rides in CBD, 2014 (weekdays only), rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(M27*M25,-2)","v":36500},null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O25, \" and \",O27, \".\")","v":"Product of Rows 25 and 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"% of miles ridden on Citibikes in CBD that displace a motor vehicle mile, on an average 2014 weekday",null,null,null,null,null,null,null,null,null,null,{"$f":"K277","v":0.05},null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Copied from Cell K\",O277, \" within array of mode shifts to Citibikes presented in Rows \",O272, \"-\",O281, \".\")","v":"Copied from Cell K277 within array of mode shifts to Citibikes presented in Rows 272-281."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Daily miles ridden on Citibikes in CBD that displace a motor vehicle mile, on an average 2014 weekday",null,null,null,null,null,null,null,null,null,null,{"$f":"M31*M29","v":1825},null,{"$f":"ROW()","v":33}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O29, \" and \",O31, \".\")","v":"Product of Rows 29 and 31."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"% of miles ridden on Citibike rides that are \"additive\" to CBD streets",null,null,null,null,null,null,null,null,null,null,{"$f":"K273+K274+K275+K280","v":0.75000000000000011},null,{"$f":"ROW()","v":35}]
[null,{"$f":"CONCATENATE(\"Sum of mode-shift-from percents specified for Subway, Bus, Walk and No Trip in Rows \",O272, \"-\",O281, \".\")","v":"Sum of mode-shift-from percents specified for Subway, Bus, Walk and No Trip in Rows 272-281."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Daily miles ridden on Citibikes that are \"addidtive\" to CBD streets, on an average 2014 weekday",null,null,null,null,null,null,null,null,null,null,{"$f":"M35*M29","v":27375.000000000004},null,{"$f":"ROW()","v":37}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O29, \" and \",O35, \".\")","v":"Product of Rows 29 and 35."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Passenger-car equivalent per bicycle, in terms of occupying street space and slowing traffic",null,null,null,null,null,null,null,null,null,null,0.2,null,{"$f":"ROW()","v":39}]
[null,"Komanoff assumption, based on same figure used in Tables 4-14 & 4-15 of Joewono Prasetijo, Dissertation, \"Capacity and Traffic Performance of Unsignalized Intersections under Mixed Traffic Conditions,\" August 2007.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Daily passenger-car equivalent VMT added to CBD by Citibikes on 2014 weekdays",null,null,null,null,null,null,null,null,null,null,{"$f":"M39*M37","v":5475.0000000000009},null,{"$f":"ROW()","v":42}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O37, \" and \",O39, \".\")","v":"Product of Rows 37 and 39."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Net daily passenger-car equivalent VMT added to CBD by Citibikes on 2014 weekdays, rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(M42-M33,-2)","v":3700},null,{"$f":"ROW()","v":44}]
[null,{"$f":"CONCATENATE(\"Row \",O42, \" less Row \",O33, \".\")","v":"Row 42 less Row 33."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"CBD miles per car trip that enters (or passes through) the CBD",null,null,null,null,null,null,null,null,null,null,{"$f":"(SUM('Motor Vs'!I108:K108)/SUM('Motor Vs'!I85:K85))","v":2.6450814600948651},null,{"$f":"ROW()","v":46}]
[null,{"$f":"CONCATENATE(\"Calculated as wghtd avg of work trips, non-work trips and through-trips, as estimated and displayed in 'Motor Vs' tab, Rows \",'Motor Vs'!O85, \" and \",'Motor Vs'!O108, \".\")","v":"Calculated as wghtd avg of work trips, non-work trips and through-trips, as estimated and displayed in 'Motor Vs' tab, Rows 85 and 108."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Number of additional daily auto trips to or through CBD whose VMT within the CBD would equate to the net daily VMT estimated here for Citibikes",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(M44/M46,-1)","v":1400},null,{"$f":"ROW()","v":48}]
[null,{"$f":"CONCATENATE(\"Row \",O44, \" divided by Row \",O46, \".\")","v":"Row 44 divided by Row 46."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"B. Citibike Station Volumes and Footprints",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Station depth, in feet",null,null,null,null,null,null,null,null,null,null,6,null,{"$f":"ROW()","v":53}]
[null,"E-mail communication from NYCDOT policy director Jon Orcutt, May 17, 2012",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Kiosk length, in feet",null,null,null,null,null,null,null,null,null,null,2.5,null,{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"See Row \",O54, \".\")","v":"See Row 54."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Dock length per bicycle, in feet",null,null,null,null,null,null,null,null,null,null,2.5,null,{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"See Row \",O54, \".\")","v":"See Row 54."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Number of Citibike stations in 2014",null,null,null,null,null,null,null,null,null,null,332,null,{"$f":"ROW()","v":59}]
[null,"https://en.wikipedia.org/wiki/Citi_Bike, accessed 7 Aug 2015.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Number of Citibike docks in 2014",null,null,null,null,null,null,null,null,null,null,6000,null,{"$f":"ROW()","v":61}]
[null,{"$f":"CONCATENATE(\"See Row \",O60, \".\")","v":"See Row 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"% of Citibike docks and stations in CBD in 2014",null,null,null,null,null,null,null,null,null,null,0.85,null,{"$f":"ROW()","v":63}]
[null,"Komanoff assumption, based on vast preponderance of Citibike stations in Manhattan, all of which are south of 60th Street.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Number of Citibike stations in CBD in 2014, rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(2*$M$63*M59,-1)/2","v":280},null,{"$f":"ROW()","v":65}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O59, \" and \",$O$63, \".\")","v":"Product of Rows 59 and 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Number of Citibike docks in CBD in 2014",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND($M$63*M61,-2)","v":5100},null,{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O61, \" and \",$O$63, \".\")","v":"Product of Rows 61 and 63."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Aggregate length of Citibike kiosks in CBD in 2014, feet",null,null,null,null,null,null,null,null,null,null,{"$f":"M65*M55","v":700},null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O55, \" and \",O65, \".\")","v":"Product of Rows 55 and 65."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Aggregate length of Citibike docks in CBD in 2014, feet",null,null,null,null,null,null,null,null,null,null,{"$f":"M67*M57","v":12750},null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O57, \" and \",O67, \".\")","v":"Product of Rows 57 and 67."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Combined aggregate length of Citibike stations (kiosks and docks) in CBD in 2014, feet",null,null,null,null,null,null,null,null,null,null,{"$f":"M69+M71","v":13450},null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O69, \" and \",O71, \".\")","v":"Sum of Rows 69 and 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Calculated square footage of Citibike stations in CBD in 2014",null,null,null,null,null,null,null,null,null,null,{"$f":"M73*M53","v":80700},null,{"$f":"ROW()","v":75}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O53, \" and \",O73, \".\")","v":"Product of Rows 53 and 73."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Adder to calculated square footage to reflect \"buffering\" from adjacent space (both curbside and into \"traffic\" lane)",null,null,null,null,null,null,null,null,null,null,0.1,null,{"$f":"ROW()","v":77}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Estimated square footage of Citibike stations in CBD in 2014",null,null,null,null,null,null,null,null,null,null,{"$f":"M75*(1+M77)","v":88770},null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O75, \" and one plus Row \",O77, \".\")","v":"Product of Row 75 and one plus Row 77."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Share of CBD Citibike stations occupying general-traffic lanes (as opposed to sidewalks, pre-existing plazas, etc.)",null,null,null,null,null,null,null,null,null,null,0.9,null,{"$f":"ROW()","v":81}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Estimated square footage of Citibike stations occupying CBD street space in 2014, rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(M81*M79,-2)","v":79900},null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O79, \" and \",O81, \".\")","v":"Product of Rows 79 and 81."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Estimated acreage of Citibike stations occupying CBD street space in 2014, rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"M83*Constants!J17/(5280^2)","v":1.8342516069788797},null,{"$f":"ROW()","v":85}]
[null,{"$f":"CONCATENATE(\"Row \",O83, \" converted to square miles and then acres.\")","v":"Row 83 converted to square miles and then acres."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Estimated lane-miles of Citibike stations occupying CBD street space in 2014, rounded",null,null,null,null,null,null,null,null,null,null,{"$f":"M85/Cordon!J298","v":1.3075353198372381},null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Row \",O85, \" divided by # of acres per lane-mile, derived in 'Cordon' tab and shown there in Row \",Cordon!P298, \".\")","v":"Row 85 divided by # of acres per lane-mile, derived in 'Cordon' tab and shown there in Row 298."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Total number of CBD lane-miles",null,null,null,null,null,null,null,null,null,null,{"$f":"Cordon!G320","v":900},null,{"$f":"ROW()","v":89}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",Cordon!P320, \" of 'Cordon' tab, where it is derived in detail.\")","v":"Copied from Row 320 of 'Cordon' tab, where it is derived in detail."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Estimated % of CBD street space occupied by Citibike stations",null,null,null,null,null,null,null,null,null,null,{"$f":"M87/M89","v":1.4528170220413758E-3},null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O87, \" divided by Row \",O89, \".\")","v":"Product of Row 87 divided by Row 89."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"C. Cycling Volumes in New York City",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"This section is largely drawn from \"Komanoff estimates of NYC cycling levels,\" an annual spreadsheet developed by Komanoff, updated most recently in March  2013 and available at: <http://www.komanoff.net/bicycle/NYC_Bicycle_Levels_Komanoff.xls>. DOT data directly below are presented because of their official status and because they figure in that spreadsheet. -- C.K.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,2006,2007,2008,2009,2010,2011,2012,null,{"$f":"ROW()","v":100}]
[null,"Screenline Counts (by NYC DOT)",null,null,null,null,8649,9327,12328,15495,17491,18846,18717,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Source: Data in Row \",O101, \" are from NYCDOT <http://www.nyc.gov/html/dot/downloads/pdf/commuter_cycling_indicator_and_data_2011.pdf> ('NYC Commuter Cycling Indicator'), which counts cyclists crossing in either direction at these \" & \"'selected commuter locations': the four East River bridges, S.I. Ferry, and Hudson River Greenway. Rationale, given on p. 5 of source, is essentially to weed out bicycle couriers and \" & \"food-delivery cyclists. These data apply to trips crossing a specified 'screenline' on weekdays between 7am-7pm. Their consistent nature makes them a good basis \" & \" for estimating growth in bicycle trips crossing into (and out of) the Manhattan Central Business District. Note focus on 'growth' -- the counts don't come close to representing *all* \" & \"CBD cycling insofar as they (i) omit evening, overnight and early-morning cycling; (ii) omit trips using Manhattan avenues to cross 50th Street; (iii) are concentrated in warmer months and thus don't reflect the late-fall \" & \" and winter dip in cycling, (iv) count weekdays only and thus don't reflect higher cycling levels on weekends. (Needless to say, these counts also omit Manhattan CBD trips that don't cross the screenline.) All told, \" & \"these counts encompass a small fraction of NYC bicycle trips. In addition, 2006 and 2007 counts were made in more 'bike-favorable' months than 2008-2012 counts and must be seasonally adjusted.\")","v":"Source: Data in Row 101 are from NYCDOT <http://www.nyc.gov/html/dot/downloads/pdf/commuter_cycling_indicator_and_data_2011.pdf> ('NYC Commuter Cycling Indicator'), which counts cyclists crossing in either direction at these 'selected commuter locations': the four East River bridges, S.I. Ferry, and Hudson River Greenway. Rationale, given on p. 5 of source, is essentially to weed out bicycle couriers and food-delivery cyclists. These data apply to trips crossing a specified 'screenline' on weekdays between 7am-7pm. Their consistent nature makes them a good basis  for estimating growth in bicycle trips crossing into (and out of) the Manhattan Central Business District. Note focus on 'growth' -- the counts don't come close to representing *all* CBD cycling insofar as they (i) omit evening, overnight and early-morning cycling; (ii) omit trips using Manhattan avenues to cross 50th Street; (iii) are concentrated in warmer months and thus don't reflect the late-fall  and winter dip in cycling, (iv) count weekdays only and thus don't reflect higher cycling levels on weekends. (Needless to say, these counts also omit Manhattan CBD trips that don't cross the screenline.) All told, these counts encompass a small fraction of NYC bicycle trips. In addition, 2006 and 2007 counts were made in more 'bike-favorable' months than 2008-2012 counts and must be seasonally adjusted."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Normalize NYCDOT Screenline Count to Year-Round Basis (By Eliminating Seasonal Bias)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Months in which counts were taken",null,null,null,null,"Once, mid-summer ","May, Aug, Sept","April-May(2)-June-July-Aug(2)-Sept(2)-Oct","April-May(2)-June-July-Aug(2)-Sept(2)-Oct","April-May(2)-June-July-Aug(2)-Sept(2)-Oct","April-May(2)-June-July-Aug(2)-Sept(2)-Oct","April-May(2)-June-July-Aug(2)-Sept(2)-Oct",null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Source: Same DOT file just cited, p. 3.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Number of months in which counts were taken",null,null,null,null,2,3,7,7,7,7,7,null,{"$f":"ROW()","v":117}]
[null,"Estimated % of annual NYC cycling occurring in those months",null,null,null,null,0.25927355044502698,0.36767505273447498,0.84516557767831102,0.84516557767831102,0.84516557767831102,0.84516557767831102,0.84516557767831102,null,{"$f":"ROW()","v":118}]
[null,{"$f":"CONCATENATE(\"Komanoff calculation reflecting his own estimate of relative cycling levels in 12 months of year, and that of two other knowledgeable observers. For complete details, see spreadsheet referenced in Rows \",O96, \"-\",O98, \" (relevant worksheet tab there is 'Citywide').\")","v":"Komanoff calculation reflecting his own estimate of relative cycling levels in 12 months of year, and that of two other knowledgeable observers. For complete details, see spreadsheet referenced in Rows 96-98 (relevant worksheet tab there is 'Citywide')."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"% of annual NYC cycling in sample months if no seasonal variation",null,null,null,null,{"$f":"G117/12","v":0.16666666666666666},0.25,0.58333333333333337,0.58333333333333337,0.58333333333333337,0.58333333333333337,{"$f":"M117/12","v":0.58333333333333337},null,{"$f":"ROW()","v":121}]
[null,{"$f":"CONCATENATE(\"Row \",O117, \" divided by 12.\")","v":"Row 117 divided by 12."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Factor to normalize observed screenline count to true 12-month avg",null,null,null,null,{"$f":"G121/G118","v":0.64282170850282894},0.67994822640453456,0.69020006107650911,0.69020006107650911,0.69020006107650911,0.69020006107650911,{"$f":"M121/M118","v":0.69020006107650911},null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O121, \" to Row \",O118, \".\")","v":"Ratio of Row 121 to Row 118."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"DOT Screenline Count normalized to true 12-month average",null,null,null,null,{"$f":"G101*G123","v":5559.7649568409679},6341.8771076750936,8508.7863529512051,10694.649946380508,12072.289268289222,13007.510351047891,12918.474543169021,null,{"$f":"ROW()","v":125}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O101, \" and \",O123, \".\")","v":"Product of Rows 101 and 123."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Year-on-year growth in normalized screenline count",null,null,null,null,null,{"$f":"H125/G125-1","v":0.14067359985637196},0.34168262936752036,0.25689487345879281,0.12881574701516629,7.7468412326339164E-2,-6.8449538363578588E-3,null,{"$f":"ROW()","v":127}]
[null,"Growth to 2012 in normalized screenline count",null,null,null,null,{"$f":"$M$125/G125-1","v":1.3235648707187861},1.0370111756872062,0.5182511356262165,0.20793804453049369,7.0093190783831583E-2,-6.8449538363578588E-3,0,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"All NYC Cycling (Data by Komanoff)",null,null,null,null,2006,2007,2008,2009,2010,2011,2012,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Estimated daily bicycle miles in New York City",null,null,null,null,816000,879000,1138000,1328000,1455000,1574000,1603000,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"Figures in Row \",O132, \" are derived in spreadsheet referenced in Rows \",O96, \"-\",O98, \" (in worksheet tab 'Citywide'). They are intended to represent all miles covered by bicycle riders in New York City on an average day, i.e., annual \" & \"miles divided by 365, encompassing all boroughs, all months, and all days of the week. Many adjustments and extrapolations were entailed in deriving these figures.\")","v":"Figures in Row 132 are derived in spreadsheet referenced in Rows 96-98 (in worksheet tab 'Citywide'). They are intended to represent all miles covered by bicycle riders in New York City on an average day, i.e., annual miles divided by 365, encompassing all boroughs, all months, and all days of the week. Many adjustments and extrapolations were entailed in deriving these figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"Year-to-year growth in daily bicycle miles",null,null,null,null,null,{"$f":"H132/G132-1","v":7.7205882352941124E-2},0.29465301478953365,0.16695957820738139,9.5632530120481896E-2,8.1786941580755945E-2,1.842439644218552E-2,null,{"$f":"ROW()","v":136}]
[null,"Growth to 2012 in daily bicycle miles",null,null,null,null,{"$f":"$M$132/G132-1","v":0.96446078431372539},0.82366325369738336,0.4086115992970123,0.20707831325301207,0.10171821305841933,1.842439644218552E-2,0,null,{"$f":"ROW()","v":137}]
[null,"Estimated daily motor vehicle miles in New York City, 000",null,null,null,null,{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},{"$f":"ROUND(VMT!$E$62/365*1000,-5)","v":54200000},null,{"$f":"ROW()","v":138}]
[null,{"$f":"CONCATENATE(\"Copied from 'VMT' worksheet, Row \",VMT!O62,\". Datum was drawn from NYS DEC database and represent DEC projections for 2005. Figure appears reasonable for today, given apparent lack of growth in NYC driving since then.\")","v":"Copied from 'VMT' worksheet, Row 62. Datum was drawn from NYS DEC database and represent DEC projections for 2005. Figure appears reasonable for today, given apparent lack of growth in NYC driving since then."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Estimated number of regular (daily) cyclists in NYC (non-commercial)",null,null,null,null,96000,101000,131000,151000,166000,178000,180000,null,{"$f":"ROW()","v":141}]
[null,{"$f":"CONCATENATE(\"From Komanoff spreadsheet referenced in Rows \",O96, \"-\",O98, \".\")","v":"From Komanoff spreadsheet referenced in Rows 96-98."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Demographic Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Population of NYC residents \"of bicycling age\" (15-74), 2010",null,null,null,null,{"$f":"8175133-517724-473159-468154-178019-142272-141406","v":6254399},null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Calculated from NYC Dept. of Health, \"Summary of Vital Statistics, 2010,\" available at http://www.nyc.gov/html/doh/downloads/pdf/vs/vs-population-and-mortality-report.pdf, Table P2, \"Population Estimates by Age, Mutually Exclusive Race and Hispanic Origin, and Sex, New York City, 2010.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"% of NYC residents (age 15-74) who cycle on a given day ",null,null,null,null,{"$f":"G141/$G$145","v":1.5349196621449958E-2},1.6148633945483812E-2,2.0945257889686923E-2,2.4143007185822331E-2,2.6541319157923886E-2,2.8459968735605131E-2,2.8779743665218672E-2,null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O141, \" to Row \",O145, \". Excludes commercial-only cyclists.\")","v":"Ratio of Row 141 to Row 145. Excludes commercial-only cyclists."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Increase in daily cyclists (non-commercial) in NYC from 2006 baseline",null,null,null,null,null,{"$f":"H141-$G$141","v":5000},35000,55000,70000,82000,84000,null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"From Row \",O141, \".\")","v":"From Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Percentage point incrs from 2006 baseline in share of NYC pop. who cycle daily",null,null,null,null,null,{"$f":"H151/$G$145","v":7.9943732403385201E-4},5.5960612682369642E-3,8.7938105643723726E-3,1.1192122536473928E-2,1.3110772114155173E-2,1.3430547043768714E-2,null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O151, \" to Row \",O145, \".\")","v":"Ratio of Row 151 to Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"D. Cycling Volumes on East River Bridges (a subset of data in Section A, above), compared to Motor Vehicle Volumes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"To be updated with 2012 or later data ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,2006,2007,2008,2009,2010,2011,2012,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Bicycle Screenline Counts (by NYC DOT)",null,null,null,null,{"$f":"G101","v":8649},9327,12328,15495,17491,18846,null,null,{"$f":"ROW()","v":160}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O101, \".\")","v":"Copied from Row 101."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"East River Bridge Bicycle Counts Within Those Screenline Counts ",null,null,null,null,{"$f":"CONCATENATE(\"Individual entries are from NYCDOT, 'NYC Commuter Cycling Indicator', Rows \",O102, \"-\",O110, \".\")","v":"Individual entries are from NYCDOT, 'NYC Commuter Cycling Indicator', Rows 102-110."},null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Brooklyn Bridge",null,null,null,null,1284,1626,1688,2294,2153,2322,null,null,{"$f":"ROW()","v":163}]
[null,"Manhattan Bridge",null,null,null,null,1578,1313,2210,2606,2984,3617,null,null,{"$f":"ROW()","v":164}]
[null,"Williamsburg Bridge",null,null,null,null,2566,2257,2903,3823,4296,4515,null,null,{"$f":"ROW()","v":165}]
[null,"Queensboro Bridge",null,null,null,null,1158,1292,1891,2225,2626,2904,null,null,{"$f":"ROW()","v":166}]
[null,"All Four East River bridges, combined",null,null,null,null,{"$f":"SUM(G163:G166)","v":6586},6488,8692,10948,12059,13358,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"E Riv Bridge Screenline Count, normalized to true 12-month avg",null,null,null,null,{"$f":"G167*G123","v":4233.6237721996313},4411.5040929126199,5999.2189308770176,7556.3102686656221,8323.1225365216233,9219.6924158600086,null,null,{"$f":"ROW()","v":169}]
[null,{"$f":"CONCATENATE(\"Product of raw sums in Row \",O167, \" and seasonal normalizing factors in Row \",O123, \".\")","v":"Product of raw sums in Row 167 and seasonal normalizing factors in Row 123."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"\"Adder\" to adjust 7am-7pm Screenline Counts to 24h",null,null,null,null,0.42939336074735102,0.435554949354368,0.435554949354368,0.408295341982577,0.408295341982577,0.47575065745744599,null,null,{"$f":"ROW()","v":172}]
[null,{"$f":"CONCATENATE(\"From spreadsheet, 'Komanoff estimates of NYC cycling levels,' referenced in Rows \",O96, \"-\",O98, \".\")","v":"From spreadsheet, 'Komanoff estimates of NYC cycling levels,' referenced in Rows 96-98."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"E Riv Bridge counts, adjusted to reflect 24h rather than just 12h",null,null,null,null,{"$f":"G169*(1+G172)","v":6051.5137118843086},6332.9565346777636,8612.2084284809225,10641.51655393691,11721.414698933613,13605.967144260836,null,null,{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Product of 12-month figures in Row \",O169, \" and one plus 24h 'adders' in Row \",O172, \".\")","v":"Product of 12-month figures in Row 169 and one plus 24h 'adders' in Row 172."},null,null,null,null,"Note: We do not adjust from weekday figures above to \"7-day\" figures, since the figures here are intended as comparisons to weekday motor vehicle trips",null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"E Riv Bridge Bicycle Counts, adjusted to reflect in-bound only",null,null,null,null,{"$f":"ROUND(G175/2,-1)","v":3030},3170,4310,5320,5860,6800,null,null,{"$f":"ROW()","v":178}]
[null,{"$f":"CONCATENATE(\"Row \",O175, \", divided by 2 and rounded to nearest 10.\")","v":"Row 175, divided by 2 and rounded to nearest 10."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Motor Vehicle Entries to CBD on the four East River bridges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Vehicles",null,null,null,null,{"$f":"CONCATENATE(\"Row \",O182, \" figure is taken from Row \",'Hub-Bound'!R117, \". Row \",O183, \" figure multiplies Row \",O182, \" figure by average vehicle occupany figure in 'Travel' worksheet, Cell G\",Travel!P104, \".\")","v":"Row 182 figure is taken from Row 117. Row 183 figure multiplies Row 182 figure by average vehicle occupany figure in 'Travel' worksheet, Cell G104."},null,null,null,null,{"$f":"ROUND('Hub-Bound'!E117,-1)","v":234100},null,null,{"$f":"ROW()","v":182}]
[null,"Persons",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(L182*Travel!G104,-1)","v":303040},null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"E Riv Bridge Bicycle Counts, % of Motor Vehicle Counts",null,null,null,null,null,null,null,null,null,null,"Reciprocals",null,{"$f":"ROW()","v":185}]
[null,"Vehicles",null,null,null,null,{"$f":"CONCATENATE(\"Row \",O178,\" figure divided by Rows \",O182,\" and \",O183, \", respectively.\")","v":"Row 178 figure divided by Rows 182 and 183, respectively."},null,null,null,null,{"$f":"$L$178/L182","v":2.9047415634344296E-2},{"$f":"1/L186","v":34.426470588235297},null,{"$f":"ROW()","v":186}]
[null,"Persons",null,null,null,null,null,null,null,null,null,{"$f":"$L$178/L183","v":2.2439281942977826E-2},{"$f":"1/L187","v":44.564705882352939},null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"E. Effect of Pricing on Cycling Levels (both citywide and into/within Manhattan CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"To be updated with 2012 or later data ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"This section estimates the extent to which the selected congestion pricing plan would be expected to increase cycling into and within the Manhattan CBD. The premise that provides our \"metric\" is speculative but, we think, conservative: that eliminating motor vehicle use in NYC would raise cycling levels here to those now seen in urban areas in northern Europe. Accordingly, we estimate the increase in cycling by prorating the predicted reduction in citywide VMT from the user-selected tolls.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Effect of Pricing on Cycling Levels, Citywide",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,"Estimated bicycle mode share in NYC, 2011",null,null,null,null,null,null,null,null,null,{"$f":"L132/(L132+L138)","v":2.8221034890809338E-2},null,null,{"$f":"ROW()","v":199}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of NYC bicycle miles in Row \",O132, \" to sum of those miles and motor vehicle miles in Row \",O138, \".\")","v":"Calculated as ratio of NYC bicycle miles in Row 132 to sum of those miles and motor vehicle miles in Row 138."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Estimated percent of daily urban-area trips that are made by bicycle or by walking in these three \"bicycle-friendly\" countries in Northern Europe",null,null,null,null,null,null,null,null,null,"Bicycle","Walking",null,{"$f":"ROW()","v":201}]
[null," Germany",null,null,null,null,null,null,null,null," Germany",0.13,0.22,null,{"$f":"ROW()","v":202}]
[null," Denmark",null,null,null,null,null,null,null,null," Denmark",0.16,0.18,null,{"$f":"ROW()","v":203}]
[null," Netherlands",null,null,null,null,null,null,null,null," Netherlands",0.28999999999999998,0.19,null,{"$f":"ROW()","v":204}]
[null,"Figures in array are copied from Fig. 2 in Ralph Buehler, John Pucher, Regine Gerike & Thomas Götschi (2017), \"Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland,\" Transport Reviews, 37:1, 4-28, DOI: 10.1080/01441647.2016.1177799. They pertain to 2009-2012 and  supersede similar but slightly earlier figures previously used in this tab, from  \"Walking And Cycling For Healthy Cities,\" by John Pucher and Ralph Buehler, Built Environment, Vol. 36, No. 4, Dec. 2010, pp 391-414, Fig. 1. <http://policy.rutgers.edu/faculty/pucher/BuiltEnvironment_WalkBike_10Dec2010.pdf>.",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Mean: \",ROUND(AVERAGE(L202:L204),2)*100,\"%\")","v":"Mean: 19%"},{"$f":"CONCATENATE(\"Mean: \",ROUND(AVERAGE(M202:M204),2)*100,\"%\")","v":"Mean: 20%"},null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,{"$f":"CONCATENATE(\"Same as Row \",O201, \", but with walking trips eliminated so that percentages are cycling's share of trips by vehicle or bicycle.\")","v":"Same as Row 201, but with walking trips eliminated so that percentages are cycling's share of trips by vehicle or bicycle."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null," Germany",null,{"$f":"CONCATENATE(\"Figures at right are calculated via simple algebra on Rows \",O202, \"-\",O204, \". They represent estimated bicycle mode share in urban areas in bicycle-friendly nations in Northern Europe, reported in a way that corresponds to bicycle mode share estimated here, in Part A.\")","v":"Figures at right are calculated via simple algebra on Rows 202-204. They represent estimated bicycle mode share in urban areas in bicycle-friendly nations in Northern Europe, reported in a way that corresponds to bicycle mode share estimated here, in Part A."},null,null,null,null,null,null," Germany",{"$f":"L202/(1-M202)","v":0.16666666666666666},null,null,{"$f":"ROW()","v":210}]
[null," Denmark",null,null,null,null,null,null,null,null," Denmark",{"$f":"L203/(1-M203)","v":0.19512195121951217},null,null,{"$f":"ROW()","v":211}]
[null," Netherlands",null,null,null,null,null,null,null,null," Netherlands",{"$f":"L204/(1-M204)","v":0.35802469135802462},null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROUND(AVERAGE(L210:L212),2)","v":0.24},null,null,{"$f":"ROW()","v":213}]
[null,"Differential (in percentage points) between 3-country average bike modal share and that of NYC",null,null,null,null,null,null,null,null,null,{"$f":"L213-L199","v":0.21177896510919064},null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O213, \" and \",O199, \".\")","v":"Difference between Rows 213 and 199."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,{"$f":"CONCATENATE(\"% of above differential (in Row \",O214, \") that would disappear for each 1% drop in NYC auto VMT\")","v":"% of above differential (in Row 214) that would disappear for each 1% drop in NYC auto VMT"},null,null,null,null,null,null,null,null,null,0.01,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate, predicated on assumption that eliminating NYC auto VMT on streets would usher in 'Euro' cycling levels as discussed in Rows \",O192, \"-\",O195, \".\")","v":"Komanoff estimate, predicated on assumption that eliminating NYC auto VMT on streets would usher in 'Euro' cycling levels as discussed in Rows 192-195."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Anticipated change in NYC VMT on local streets (includes Manhattan arterials) from pricing policies",null,null,null,null,null,null,null,null,null,{"$f":"VMT!M21","v":-3.8981331811968889E-2},null,null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"From 'VMT' tab, Cell M\",VMT!O21,\". Figure encompasses local streets in all five boroughs as well as all Manhattan arterials.\")","v":"From 'VMT' tab, Cell M21. Figure encompasses local streets in all five boroughs as well as all Manhattan arterials."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Percent share of NYC-vs.-3-country cycling differential that these policies would eliminate (expressed as multiplicative %, not % points)",null,null,null,null,null,null,null,null,null,{"$f":"-L218*L216*100","v":3.8981331811968889E-2},null,null,{"$f":"ROW()","v":220}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O216,\" and \",O218, \", with sign reversed.\")","v":"Product of Rows 216 and 218, with sign reversed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Percentage point increase in NYC cycling share projected to result from projected drop in NYC VMT",null,null,null,null,null,null,null,null,null,{"$f":"L220*L214","v":8.2554261097167424E-3},null,null,{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O214,\" and \",O220, \".\")","v":"Product of Rows 214 and 220."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Percentage increase in average daily number of cyclists, due to same projected drop in NYC VMT",null,null,null,null,null,null,null,null,null,{"$f":"L222/L199","v":0.29252740523719289},null,null,{"$f":"ROW()","v":224}]
[null,{"$f":"CONCATENATE(\"Ratio of %-pt increase in NYC cycling in Row \",O222, \" to baseline % of NYC cycling bicycle miles in Row \",O199, \". Note that Row \",O224, \" figure is change in percent, not percentage points.\")","v":"Ratio of %-pt increase in NYC cycling in Row 222 to baseline % of NYC cycling bicycle miles in Row 199. Note that Row 224 figure is change in percent, not percentage points."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Effect of Pricing on Cycling Levels Within, and on Approaches to, Manhattan Central Business District (CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"To be updated with 2012 or later data ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Estimated ratio of bicycle mode share within and on approaches to CBD, to its citywide mode share, 2011",null,null,null,null,null,null,null,null,null,2.5,null,null,{"$f":"ROW()","v":230}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate. Matches with 2.58 ratio of bicycle's share of 'trip ends' in CBD, to its share in NYC w/o the CBD, shown in 'Boroughs' worksheet tab of spreadsheet referenced in Rows \",O96, \"-\",O98, \".\")","v":"Komanoff estimate. Matches with 2.58 ratio of bicycle's share of 'trip ends' in CBD, to its share in NYC w/o the CBD, shown in 'Boroughs' worksheet tab of spreadsheet referenced in Rows 96-98."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"Estimated bicycle mode share within and on approaches to CBD, 2011",null,null,null,null,null,null,null,null,null,{"$f":"L230*L199","v":7.0552587227023345E-2},null,null,{"$f":"ROW()","v":233}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O199,\" and \",O230, \".\")","v":"Product of Rows 199 and 230."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Percentage-point differential between bicycle mode share in (i) NYC and (ii) mean of three \"bicycle-friendly\" countries in Northern Europe",null,null,null,null,null,null,null,null,null,{"$f":"L213-L233","v":0.16944741277297665},null,null,{"$f":"ROW()","v":235}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O213, \" and \",O233, \".\")","v":"Difference between Rows 213 and 233."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,{"$f":"CONCATENATE(\"% of above differential (in Row \",O235, \") predicted to disappear for each 1% drop in NYC auto VMT\")","v":"% of above differential (in Row 235) predicted to disappear for each 1% drop in NYC auto VMT"},null,null,null,null,null,null,null,null,null,{"$f":"L216","v":0.01},null,null,{"$f":"ROW()","v":237}]
[null,{"$f":"CONCATENATE(\"Same Komanoff assumption as Row \", O216, \".\")","v":"Same Komanoff assumption as Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"Predicted change in auto VMT within and on approaches to CBD, from pricing policies",null,null,null,null,null,null,null,null,null,{"$f":"AVERAGE(Results!H121:I121)","v":-7.42468744867191E-2},null,null,{"$f":"ROW()","v":239}]
[null,{"$f":"CONCATENATE(\"Mean of Cells F\",Results!N121, \" and G\",Results!N121, \" from 'Results' worksheet tab. Both figures apply to 6am-6pm, weekdays (as opposed to 24h figures).\")","v":"Mean of Cells F121 and G121 from 'Results' worksheet tab. Both figures apply to 6am-6pm, weekdays (as opposed to 24h figures)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,{"$f":"CONCATENATE(\"Predicted % (point) change in cycling mode share on trips within and to CBD, due to predicted change in automobile VMT shown in Cell L\",O239, \"\")","v":"Predicted % (point) change in cycling mode share on trips within and to CBD, due to predicted change in automobile VMT shown in Cell L239"},null,null,null,null,null,null,null,null,null,{"$f":"-100*L235*L237*L239","v":1.2580940788254481E-2},null,null,{"$f":"ROW()","v":241}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O235,\", \",O237, \" and \",O239, \" (with sign changed).\")","v":"Product of Rows 235, 237 and 239 (with sign changed)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"Estimated bicycle mode share within and on approaches to CBD, after implementing pricing policy",null,null,null,null,null,null,null,null,null,{"$f":"L233+L241","v":8.3133528015277819E-2},null,null,{"$f":"ROW()","v":243}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O233, \" and \",O241, \".\")","v":"Sum of Rows 233 and 241."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Percent increase in bicycle mode share within and on approaches to CBD, after implementing pricing policy",null,null,null,null,null,null,null,null,null,{"$f":"L241/L233","v":0.17832004867194548},null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Row \",O241, \" divided by Row \",O233,\".\")","v":"Row 241 divided by Row 233."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Number of people entering CBD via bicycle on weekday, baseline",null,null,null,null,null,null,null,null,null,{"$f":"Travel!G170","v":28639.52},null,null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Copied from 'Travel' worksheet tab, Cell G\",Travel!P170, \", which in turn is based on figure in 'Hub-Bound' worksheet tab, Row \",'Hub-Bound'!R151, \".\")","v":"Copied from 'Travel' worksheet tab, Cell G170, which in turn is based on figure in 'Hub-Bound' worksheet tab, Row 151."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"F. Cycling's Relationships to Other Travel Modes in NYC ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"1. Base Data (2012 for \"Actual,\" 2013 for BikeShare)",null,null,null,null,null,null,null,"'Regular' Non-Commercial Cycling",null,null,null,"Cycling done via BikeShare",{"$f":"ROW()","v":253}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"Cyclists (365-day average)",null,null,null,null,null,null,null,{"$f":"M141","v":180000},null,{"$f":"CONCATENATE(\"Re 'Opportunity Mode' estimates in Col. K, Rows \",O273, \"-\",O281, \": Pucher et al. report that London Bike Share users previously made trips as follows: 60% public \" & \"transport, 29% walking, 5% private bike, 1% car. (Remaining 5% was not specified.) See 'Cycling in Megacities' chapter of \" & \"John Pucher & Ralph Buehler, 'City Cycling,' MIT Press, 2012, p. 335.\")","v":"Re 'Opportunity Mode' estimates in Col. K, Rows 273-281: Pucher et al. report that London Bike Share users previously made trips as follows: 60% public transport, 29% walking, 5% private bike, 1% car. (Remaining 5% was not specified.) See 'Cycling in Megacities' chapter of John Pucher & Ralph Buehler, 'City Cycling,' MIT Press, 2012, p. 335."},null,24839,{"$f":"ROW()","v":257}]
[null,{"$f":"CONCATENATE(\"Regular fig. is from Row \",O141, \", which is from Komanoff 'cycling' spreadsheet referenced in Row \",O96, \"; BikeShare fig. is from separate Komanoff spreadsheet compiled from Citibike daily records from May 25, 2013 through \" & \"June 30, 2015. Figure shown is 2014 *weekday* average.\")","v":"Regular fig. is from Row 141, which is from Komanoff 'cycling' spreadsheet referenced in Row 96; BikeShare fig. is from separate Komanoff spreadsheet compiled from Citibike daily records from May 25, 2013 through June 30, 2015. Figure shown is 2014 *weekday* average."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Daily Trips per Cyclist or Bicycle",null,null,null,null,null,null,null,3,null,null,null,"NA",{"$f":"ROW()","v":260}]
[null,"Regular fig. is Komanoff assumption made in spreadsheet just noted; BikeShare fig. is drawn from data in other cities with BikeShare programs.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"Daily Trips (365-day average for regular; weekdays for BikeShare)",null,null,null,null,null,null,null,{"$f":"J257*J260","v":540000},null,null,null,{"$f":"N257","v":24839},{"$f":"ROW()","v":262}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O257, \" and \",O260, \".\")","v":"Product of Rows 257 and 260."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Miles per Trip",null,null,null,null,null,null,null,"Not applicable",null,null,null,1.6311,{"$f":"ROW()","v":264}]
[null,{"$f":"CONCATENATE(\"Same source as Row \",O258, \".\")","v":"Same source as Row 258."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Daily Miles (365-day average)",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Less than Cell L\",O132, \" since omits comm. cycling\")","v":"Less than Cell L132 since omits comm. cycling"},1461000,null,null,null,{"$f":"N262*N264","v":40514.892899999999},{"$f":"ROW()","v":266}]
[null,{"$f":"CONCATENATE(\"Regular figure is from Komanoff spreadsheet referenced in Row \",O96, \"; BikeShare figure is product of Rows \",O262, \" and \",O264, \".\")","v":"Regular figure is from Komanoff spreadsheet referenced in Row 96; BikeShare figure is product of Rows 262 and 264."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Percent of Miles within Manhattan CBD",null,null,"To be updated with 2012 or later data ",null,null,null,null,0.4,null,null,null,{"$f":"M27","v":0.9},{"$f":"ROW()","v":268},null,"Survey data from NYCDOT Press Release, \"After First 200 Days of Citi Bike, NYC DOT Releases New Data Showing that Significant Numbers of New Yorkers are Biking, Complementing Transit System,\" Dec. 12, 2013."]
[null,{"$f":"CONCATENATE(\"Regular fig. is reduced from CBD 45% share of NYC cycling trip ends in Komanoff 'cycling' spreadsheet. BikeShare fig. is Komanoff est. in Row \",O27, \".\")","v":"Regular fig. is reduced from CBD 45% share of NYC cycling trip ends in Komanoff 'cycling' spreadsheet. BikeShare fig. is Komanoff est. in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"Percent of Trips within Manhattan CBD that Crossed Into CBD",null,null,null,null,"To be updated with 2012 or later data ",null,null,0.1,null,null,null,0.1,{"$f":"ROW()","v":270}]
[null,"Komanoff assumption, reflecting 10-1 ratio for same parameter stipulated in Komanoff 'cycling' spreaadsheet (\"Boroughs\" worksheet tab).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271},null,null,null,null,"DOT Survey","Scaled to 100%","Scaled 100% less 'no trip'","Scaled 100% if 5% walk"]
[null,"Cycling Trips 'Opportunity Mode' (trip mode if not cycled)",null,null,null,null,"%","Daily Trips","Trips in CBD","Trips into CBD","%","Daily Trips","Trips in CBD","Trips into CBD",{"$f":"ROW()","v":272},null,"Bike Share Trips mode if not cycled"]
[null,"Subway",null,null,{"$f":"CONCATENATE(\"Percentages are Komanoff assumptions. For BikeShare, they are informed by figures in NYCDOT survey at far right. Figures include individual categories' shares\" & \" of multi-modal alt trips. Trips are calculated by mutiplying percentages by number of daily bicycle trips in Row \",O266, \", and then by percents in Rows \",O268, \" and \",O270, \".\")","v":"Percentages are Komanoff assumptions. For BikeShare, they are informed by figures in NYCDOT survey at far right. Figures include individual categories' shares of multi-modal alt trips. Trips are calculated by mutiplying percentages by number of daily bicycle trips in Row 266, and then by percents in Rows 268 and 270."},null,0.53,{"$f":"-G273*J$262","v":-286200},{"$f":"ROUND(H273*$J$268,-1)","v":-114480},{"$f":"ROUND(I273*J$270,-1)","v":-11450},0.55000000000000004,{"$f":"-K273*N$262","v":-13661.45},{"$f":"ROUND(L273*$N$268,-1)","v":-12300},{"$f":"ROUND(M273*N$270,-1)","v":-1230},{"$f":"ROW()","v":273},null,"Subway",null,null,0.65,{"$f":"T273/$T$281","v":0.36931818181818182},{"$f":"U273*(1-$V$280)","v":0.27698863636363635},{"$f":"T273/$T$282","v":0.54621848739495804}]
[null,"Bus",null,null,null,null,7.0000000000000007E-2,{"$f":"-G274*J$262","v":-37800},-15120,-1510,0.1,-2483.9,-2240,-220,{"$f":"ROW()","v":274},null,"Bus",null,null,0.18,{"$f":"T274/$T$281","v":0.10227272727272727},{"$f":"U274*(1-$V$280)","v":7.6704545454545442E-2},{"$f":"T274/$T$282","v":0.15126050420168066}]
[null,"Walk",null,null,null,null,0.05,{"$f":"-G275*J$262","v":-27000},-10800,-1080,0.05,-1241.95,-1120,-110,{"$f":"ROW()","v":275},null,"Walk",null,null,0.63,{"$f":"T275/$T$281","v":0.35795454545454547},{"$f":"U275*(1-$V$280)","v":0.26846590909090912},{"$f":"6%/T282","v":5.0420168067226892E-2}]
[null,"Taxicab",null,null,null,null,0.05,{"$f":"-G276*J$262","v":-27000},-10800,-1080,0.12,-2980.68,-2680,-270,{"$f":"ROW()","v":276},null,"Taxicab",null,null,0.21,{"$f":"T276/$T$281","v":0.11931818181818181},{"$f":"U276*(1-$V$280)","v":8.9488636363636354E-2},{"$f":"T276/T282","v":0.17647058823529413}]
[null,"Car or other m.v. (includes livery cabs)",null,null,null,null,0.05,{"$f":"-G277*J$262","v":-27000},-10800,-1080,0.05,-1241.95,-1120,-110,{"$f":"ROW()","v":277},null,"Car or other m.v. (includes livery cabs)"]
[null,"Own bicycle",null,null,null,null,"Not applicable",null,0,0,0.08,-1987.1200000000001,-1790,-180,{"$f":"ROW()","v":278},null,"Own bicycle",null,null,0.09,{"$f":"T278/$T$281","v":5.1136363636363633E-2},{"$f":"U278*(1-$V$280)","v":3.8352272727272721E-2},{"$f":"T278/$T$282","v":7.5630252100840331E-2}]
[null,"Bike Share",null,null,null,null,"Not applicable",null,0,0,"Not applicable",null,0,0,{"$f":"ROW()","v":279},null,"Bike Share"]
[null,"No trip (trip not made)",null,null,null,null,0.25,{"$f":"-G280*J$262","v":-135000},-54000,-5400,0.05,{"$f":"-K280*N$262","v":-1241.95},-1120,-110,{"$f":"ROW()","v":280},null,"No trip (trip not made)",null,null,null,null,{"$f":"G280","v":0.25}]
[null,"T O T A L",null,null,null,null,{"$f":"SUM(G273:G280)","v":1.0000000000000002},-540000,-216000,-21600,1,-24839,-22370,-2230,{"$f":"ROW()","v":281},null,"T O T A L",null,null,{"$f":"SUM(T273:T280)","v":1.76},{"$f":"SUM(U273:U280)","v":1},{"$f":"SUM(V273:V280)","v":0.99999999999999989},{"$f":"SUM(W273:W280)","v":1.0000000000000002}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282},null,"T O T A L if Walk final share set to 5%",null,null,{"$f":"T281+6%-T275","v":1.19}]
[null,"[Connecting this section to other worksheets (Subways, Motor Vs', etc.) is under development.]",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"G. Cycling's Effect on Mortality Rates in NYC ",null,null,null,null,2006,2007,2008,2009,2010,2011,2012,null,{"$f":"ROW()","v":286},null,"Derivation of a Best-Fit Equation Correlating (Regressing) Rates of Cycling Fatalities to Calendar Year, or, better, to Cycling Volumes"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"1. Mortality Effect of Increased Cycling, #1: Physical-Activity Benefits",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288},null,null,null,"B I C Y C L I S T    F A T A L I T I E S"]
[null,"Deaths among NYC adult residents \"of bicycling age\" (15-74), 2010",null,null,null,null,null,{"$f":"'Cost-Benefit'!I622","v":23524},null,null,null,null,null,null,{"$f":"ROW()","v":289},null,null,null,"(compiled from best available sources)"]
[null,{"$f":"CONCATENATE(\"Copied from 'Cost-Benefit' worksheet tab, Row \",'Cost-Benefit'!O622, \", and derived and sourced there and in half-dozen rows peceding it.\")","v":"Copied from 'Cost-Benefit' worksheet tab, Row 622, and derived and sourced there and in half-dozen rows peceding it."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290},null,null,null,null,null,null,"Source:\nPark Slope Patch, Dec. 29, 2011, \"Overall Traffic Deaths Down, Bike Fatalities Flat in 2011,\" reporting on mayoral press conference on traffic deaths, held same day. <http://bit.ly/uidYXF>"]
[null,"Death rate for NYC adult residents \"of bicycling age\" (15-74), 2010",null,null,null,null,null,{"$f":"H289/G145","v":3.7611927221144668E-3},null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O289, \" to Row \",O145, \".\")","v":"Ratio of Row 289 to Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":292},null,null,{"$f":"CONCATENATE(\"Source: Spreadsheet, 'Komanoff estimates of NYC cycling levels,' referenced in Row \",O132, \".\")","v":"Source: Spreadsheet, 'Komanoff estimates of NYC cycling levels,' referenced in Row 132."},null,"Source: NYCDOT doc, \"New York City Cycling Safety Indicator,\" available at <http://www.nyc.gov/html/dot/downloads/pdf/nyc_cycling_safety_indicator.pdf>."]
[null,"Change in average individual's mortality from physical activity of regular cycling",null,null,null,null,null,null,null,{"$f":"'Cost-Benefit'!I624","v":-0.28000000000000003},null,{"$f":"CONCATENATE(\"Note: Adjustment of Row \",O293, \" to Row \",O299, \", via divisor in Row \",O297, \", is to avoid crediting one year of regular cycling with full longevity benefit derived (empirically) from Copenhagen study of ongoing physical activity.\")","v":"Note: Adjustment of Row 293 to Row 299, via divisor in Row 297, is to avoid crediting one year of regular cycling with full longevity benefit derived (empirically) from Copenhagen study of ongoing physical activity."},null,null,{"$f":"ROW()","v":293}]
[null,{"$f":"CONCATENATE(\"Copied from 'Cost-Benefit' worksheet tab, Row \",'Cost-Benefit'!O624,\", where it is characterized more precisely as % change in mortality among adults with moderately high physical activity vis-à-vis those with little or no physical activity.\" & \" Source is a widely cited peer-reviewed 2000 article in Archives of Internal Medicine, based on a longitudinal study of 30,000 adults in Copenhagen. See 'Cost-Benefit' tab, Row \",'Cost-Benefit'!O624,\", for full sourcing.\")","v":"Copied from 'Cost-Benefit' worksheet tab, Row 624, where it is characterized more precisely as % change in mortality among adults with moderately high physical activity vis-à-vis those with little or no physical activity. Source is a widely cited peer-reviewed 2000 article in Archives of Internal Medicine, based on a longitudinal study of 30,000 adults in Copenhagen. See 'Cost-Benefit' tab, Row 624, for full sourcing."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":294},null,null,null,null,null,"Source: \nInteragency Report (2007), \"Bicyclist Fataliites & Serious Injuries in New York City, 1996-2005\""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"These logarithms are used in Regression Model #2"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":296},null,null,null,null,null,null,null,null,"(Col. W div. by Col. R)"]
[null,{"$f":"CONCATENATE(\"Years of regular cycling required to manifest mortality reduction credited to regular cycling in Row \",O293, \".\")","v":"Years of regular cycling required to manifest mortality reduction credited to regular cycling in Row 293."},null,null,null,null,null,null,null,10,null,null,null,null,{"$f":"ROW()","v":297},null,null,null,"Source: \n\"Killed By Automobile,\" Right Of Way, 1999.",null,null,null,null,null,null,null,null,null,null,null,null,null,"From Col. R","From Col. X"]
[null,"Komanoff assumption. Although most Copenhagen \"subjects\" were studied for longer periods, exercise benefits tend to manifest early.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298},null,null,"Est'd # of daily cyclists (000)",null,null,null,null,null,"Fatalities per 100,000 cyclists",null,"Regression #1",null,null,null,null,null,null,"Log (base 10) of # of daily cyclists (in thousands)","Log (base 10) of fatalities per 100,000 daily cyclists",null,"Regression #2"]
[null,"Change in an individual's mortality from one year of engaging in regular cycling",null,null,null,null,null,null,null,{"$f":"J293/J297","v":-2.8000000000000004E-2},null,null,null,null,{"$f":"ROW()","v":299},null,null,null,null,null,null,null,null,null,null,"Fatalities per 100,000 cyclists regressed against calendar year (1994-2011)",null,null,null,null,null,null,null,null,null,"Log of Fatalities per 100,000 cyclists regressed against Log of # of Cyclists (in thousands)"]
[null,{"$f":"CONCATENATE(\"Row \",O293, \" divided by Row \",O297, \".\")","v":"Row 293 divided by Row 297."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300},null,null,null,null,null,null,null,"We use",null,null,{"$f":"CONCATENATE(\"Result: A reduction in fatalities per 100,000 cyclists of \",-ROUND(AA318,1), \", from one year to the next.\")","v":"Result: A reduction in fatalities per 100,000 cyclists of 1.5, from one year to the next."}]
[null,"Percentage pt change in NYC adult mortality due to increase in cycling since 2006",null,null,null,null,null,{"$f":"H153*$J$299","v":-2.2384245072947858E-5},{"$f":"I153*$J$299","v":-1.5668971551063501E-4},{"$f":"J153*$J$299","v":-2.4622669580242647E-4},{"$f":"K153*$J$299","v":-3.1337943102127002E-4},{"$f":"L153*$J$299","v":-3.6710161919634491E-4},null,null,{"$f":"ROW()","v":301},null,1994,55,15,null,null,null,{"$f":"S301","v":15},{"$f":"W301/R301*100","v":27.27272727272727},null,null,null,null,null,null,null,null,{"$f":"LOG(R301)","v":1.7403626894942439},{"$f":"LOG(X301)","v":1.4357285695614372},null,{"$f":"CONCATENATE(\"Result: Number of fatalities per 100,000 cyclists (i.e., 'rate' of fatalities per cyclist) is inversely proportional to \",-ROUND(AK318,2), \" power of number of cyclists.\")","v":"Result: Number of fatalities per 100,000 cyclists (i.e., 'rate' of fatalities per cyclist) is inversely proportional to 1.07 power of number of cyclists."}]
[null,{"$f":"CONCATENATE(\"Product of (i) change since 2006 in % of adults who cycle daily, from Row \",O153, \", and (ii) % change in their annual death rates, from Row \",O299, \".\")","v":"Product of (i) change since 2006 in % of adults who cycle daily, from Row 153, and (ii) % change in their annual death rates, from Row 299."},null,null,null,null,null,null,null,null,null,null,"Figures are not cumulative, i.e., each denotes change in deaths in that year.",null,{"$f":"ROW()","v":302},null,1995,65,18,null,null,null,{"$f":"S302","v":18},{"$f":"W302/R302*100","v":27.692307692307693},null,null,null,null,null,null,null,null,{"$f":"LOG(R302)","v":1.8129133566428555},1.4423591484604505]
[null,"Change in NYC deaths due to change in phys activity from cycling since 2006",null,null,null,null,null,{"$f":"H301*$H$289","v":-0.5265669810960254},{"$f":"I301*$H$289","v":-3.685968867672178},{"$f":"J301*$H$289","v":-5.7922367920562801},{"$f":"K301*$H$289","v":-7.371937735344356},{"$f":"L301*$H$289","v":-8.6356984899748177},null,null,{"$f":"ROW()","v":303},null,1996,73,16,null,19,null,{"$f":"U303","v":19},26.027397260273972,null,"Regression Statistics",null,null,null,null,null,null,1.8633228601204559,1.415430740832373,null,"Regression Statistics",null,null,"Notes on Regression Results"]
[null,{"$f":"CONCATENATE(\"Product of % change in adult mortality in Row \",O301, \", and baseline deaths per year from Row \",O289, \".\")","v":"Product of % change in adult mortality in Row 301, and baseline deaths per year from Row 289."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304},null,1997,72,22,null,28,null,28,38.888888888888893,null,"Multiple R",0.61265753897814856,null,null,null,null,null,1.8573324964312685,1.5898255349109509,null,"Multiple R",0.83933054801544849,null,"1. Regression #2 is superior to #1, based on its far higher R Square."]
[null,"Cumulative change in deaths due to change in phys activity from cycling, since 2006",null,null,null,null,null,{"$f":"H303+G305","v":-0.5265669810960254},{"$f":"I303+H305","v":-4.2125358487682032},{"$f":"J303+I305","v":-10.004772640824484},{"$f":"K303+J305","v":-17.376710376168841},{"$f":"L303+K305","v":-26.012408866143659},"Figures are cumulative.",null,{"$f":"ROW()","v":305},null,1998,59,null,null,22,null,22,37.288135593220339,null,"R Square",0.37534926006676167,null,null,null,null,null,1.7708520116421442,1.5715706691800619,null,"R Square",0.70447576883191299,null,"2. A similar regression adding calendar year as an independent variable failed ― year was not significant."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306},null,1999,63,null,null,40,null,40,63.492063492063487,null,"Adj R Square",0.33630858882093428,null,null,null,null,null,1.7993405494535817,1.8027194418743806,null,"Adj R Square",0.68600550438390751,null,{"$f":"CONCATENATE(\"3. The predictive equation from this regression is: # NYC bicycle fatalities = \",ROUND(10^(AK317),-1), \" divided by the number of daily cyclists, in thousands, raised to the \",ROUND(-AK318,2), \" power.\")","v":"3. The predictive equation from this regression is: # NYC bicycle fatalities = 2720 divided by the number of daily cyclists, in thousands, raised to the 1.07 power."}]
[null,"2. Mortality Effect of Increased Cycling, #2: Crashes",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307},null,2000,52,null,18,20,null,20,38.461538461538467,null,"Std Error",10.571593950483017,null,null,null,null,null,1.7160033436347992,1.585026652029182,null,"Std Error",0.12408491898216696]
[null,null,null,null,null,null,2006,2007,2008,2009,2010,2011,2012,null,{"$f":"ROW()","v":308},null,2001,60,null,13,13,null,13,21.666666666666668,null,"Observations",18,null,null,null,null,null,1.7781512503836436,1.3357921019231931,null,"Observations",18,null,{"$f":"CONCATENATE(\"4. Risk per cyclist declines rapidly as cycling increases. A doubling in cycling reduces per-cyclist risk by \",ROUND(100*(1-1/2^(-AK318)),0),\"%.\")","v":"4. Risk per cyclist declines rapidly as cycling increases. A doubling in cycling reduces per-cyclist risk by 52%."}]
[null,"Bicyclist Fatalities, actual",null,null,null,null,{"$f":"W313","v":18},{"$f":"W314","v":24},{"$f":"W315","v":25},{"$f":"W316","v":12},{"$f":"W317","v":19},{"$f":"W318","v":21},null,null,{"$f":"ROW()","v":309},null,2002,74,null,21,23,null,23,31.081081081081081,null,null,null,null,null,null,null,null,1.8692317197309762,1.4924961162866166,null,null,null,null,"5. Number of cycling fatalities per year declines (albeit slowly) as cycling increases."]
[null,{"$f":"CONCATENATE(\"Source: Cells W\",O313, \" - W\",O318, \".\")","v":"Source: Cells W313 - W318."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310},null,2003,65,null,18,18,null,18,27.692307692307693,null,"ANOVA",null,null,null,null,null,null,1.8129133566428555,1.4423591484604505,null,"ANOVA"]
[null,"Bicyclist Fatalities, if cycling volumes had remained at 2006 level",null,null,null,null,{"$f":"ROUND(10^AK341,1)","v":19.7},{"$f":"$G$311","v":19.7},{"$f":"$G$311","v":19.7},{"$f":"$G$311","v":19.7},{"$f":"$G$311","v":19.7},{"$f":"$G$311","v":19.7},null,null,{"$f":"ROW()","v":311},null,2004,77,null,16,18,null,18,23.376623376623375,null,null,"df","SS","MS","F","Significance F",null,1.8864907251724818,1.3687817799308242,null,null,"df","SS","MS","F","Significance F"]
[null,{"$f":"CONCATENATE(\"Cell G\",O311, \" is antilog (base 10) of Cell AK\",O341, \" -- log of predicted fatalities in 2006, from best-fit regression (Columns AJ - AO). Predicted fatalities for later years are set equal to that value, on premise that it is best indicator of expected fatalities if cycling volumes remained constant.\")","v":"Cell G311 is antilog (base 10) of Cell AK341 -- log of predicted fatalities in 2006, from best-fit regression (Columns AJ - AO). Predicted fatalities for later years are set equal to that value, on premise that it is best indicator of expected fatalities if cycling volumes remained constant."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312},null,2005,69,null,22,24,null,24,34.782608695652172,null,"Regression",1,1074.4822251312817,1074.4822251312817,9.614313691055667,6.8698618801985847E-3,null,1.8388490907372552,1.5413621509743507,null,"Regression",1,0.5872607144751647,0.5872607144751647,38.141076475382462,1.3312675462727488E-5]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313},null,2006,101,null,18,null,null,{"$f":"T313","v":18},17.82178217821782,null,"Residual",16,1788.137578462226,111.75859865388912,null,null,null,2.0043213737826426,1.2509511313206634,null,"Residual",16,0.24635307390097499,1.5397067118810937E-2]
[null,"Excess (or Deficit) of Actual Fataliites vs. Predicted, Annual",null,null,null,null,{"$f":"G309-G311","v":-1.6999999999999993},4.3000000000000007,5.3000000000000007,-7.6999999999999993,-0.69999999999999929,1.3000000000000007,null,null,{"$f":"ROW()","v":314},null,2007,106,null,24,null,null,{"$f":"T314","v":24},22.641509433962266,null,"Total",17,2862.6198035935076,null,null,null,null,2.0253058652647704,1.3549053764468357,null,"Total",17,0.83361378837613964]
[null,{"$f":"CONCATENATE(\"Row \",O309, \" less Row \",O311, \".\")","v":"Row 309 less Row 311."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315},null,2008,136,null,25,null,null,{"$f":"T315","v":25},18.382352941176471,null,null,null,null,null,null,null,null,2.1335389083702174,1.2644011003018201]
[null,"Excess (or Deficit) of Actual Fataliites vs. Predicted, Cumulative",null,null,null,null,null,null,null,null,null,{"$f":"SUM(H314:L314)","v":2.5000000000000036},null,null,{"$f":"ROW()","v":316},null,2009,156,null,12,null,null,{"$f":"T316","v":12},7.6923076923076925,null,null,"Coefficients","Standard Error","t Stat","P-value",null,null,2.1931245983544616,0.88605664769316328,null,null,"Coefficients","Standard Error","t Stat","P-value"]
[null,{"$f":"CONCATENATE(\"Sum of annual figures in Row \",O314, \" beginning in 2007.\")","v":"Sum of annual figures in Row 314 beginning in 2007."},null,null,null,null,null,null,"#1: Change in Number of Deaths in 2007-2011 due to Change in Physical Activity",null,"#2: Change in Number of Deaths in 2007-2011 due to Change in Crash Exposure",null,"Ratio (#1 / #2), with sign changed",null,{"$f":"ROW()","v":317},null,2010,169,null,19,null,null,{"$f":"T317","v":19},11.242603550295858,null,"Intercept",3009.1895335346308,961.76189289337367,3.1288300729838197,6.4765002408769439E-3,null,null,2.2278867046136734,1.0508668963391554,null,"Intercept",3.4347235901995128,0.33344855593719491,10.300610181219209,1.8162936224025138E-8]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318},null,2011,179,null,null,null,21,{"$f":"V318","v":21},11.731843575418994,null,"X Variable 1",-1.4891989695680017,0.48027898379838446,-3.1006956785624209,6.8698618801985717E-3,null,null,2.2528530309798933,1.069366263754026,null,"X Variable 1",-1.0677282242291266,0.17288776096449504,-6.1758462153281037,1.3312675462727488E-5]
[null,"3. Mortality Effects Combined",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,{"$f":"CONCATENATE(\"First figure is copied from Cell L\",O305, \". Second is copied from Cell L\",O316, \".\")","v":"First figure is copied from Cell L305. Second is copied from Cell L316."},null,null,null,null,null,null,null,{"$f":"L305","v":-26.012408866143659},null,{"$f":"L316","v":2.5000000000000036},{"$f":"J320/L320","v":-10.404963546457449},null,{"$f":"ROW()","v":320}]
[null,"Net Impact: Sum of changes in mortality from incrs'd cycling (cumulative), 2007-2011 (rounded) ",null,null,null,null,null,null,{"$f":"ROUND(J320+L320,0)","v":-24},null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,{"$f":"CONCATENATE(\"Sum of Cells J\",O320, \" and L\",O320, \".\")","v":"Sum of Cells J320 and L320."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"H. Additions to New York City's Bicycle Lane Network",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325},null,null,null,null,null,null,null,null,null,null,"RESIDUAL OUTPUT",null,null,null,null,null,null,null,null,null,"RESIDUAL OUTPUT"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Summary",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fatalities"]
[null,null,null,null,null,null,null,null,"Lane Miles",null,null,null,null,null,{"$f":"ROW()","v":328},null,null,null,null,null,null,null,null,null,null,"Observation","Predicted Y","Residuals",null,null,null,null,null,null,null,"Observation","Predicted Y","Residuals","Actual","Predicted"]
[null,"Bicycle lane additions in NYC, by year",null,null,null,null,null,"Fiscal Year","All NYC","CBD only","CBD share",null,null,null,{"$f":"ROW()","v":329},null,null,null,null,null,null,null,null,null,null,{"$f":"AJ329","v":1994},39.726788216035402,-12.454060943308129,null,null,null,null,null,null,null,{"$f":"Q301","v":1994},1.5764892262311969,-0.14076065666975968,{"$f":"W301","v":15},{"$f":"10^AK329*R301/100","v":20.742061410152669}]
[null,null,null,null,null,null,null,2006,null,null,null,null,null,null,{"$f":"ROW()","v":330},null,null,null,null,null,null,null,null,null,null,1995,38.237589246467451,-10.545281554159757,null,null,null,null,null,null,null,1995,1.4990248312299714,-5.6665682769520886E-2,18,20.508702624404123]
[null,"2007-2010 figures for both All NYC and CBD only are from facility by facility enumeration below, and are sourced below as well.",null,null,null,null,null,2007,{"$f":"I371","v":29.2},{"$f":"I372","v":5.4},{"$f":"J331/I331","v":0.18493150684931509},null,null,null,{"$f":"ROW()","v":331},null,null,null,null,null,null,null,null,null,null,1996,36.748390276899499,-10.720993016625528,null,null,null,null,null,null,null,1996,1.4452011815975612,-2.97704407651882E-2,19,20.34810835997531]
[null,null,null,null,null,null,null,2008,{"$f":"I402","v":63.199999999999996},{"$f":"I403","v":10.4},{"$f":"J332/I332","v":0.16455696202531647},null,null,null,{"$f":"ROW()","v":332},null,null,null,null,null,null,null,null,null,null,1997,35.259191307331548,3.6296975815573376,null,null,null,null,null,null,null,1997,1.4515972619819038,0.13822827292904716,28,20.3671263880316]
[null,"2011-2013 figures for All NYC are from http://www.nyc.gov/html/ops/downloads/pdf/pmmr2015/dot.pdf#page=4.",null,null,null,null,null,2009,{"$f":"I441","v":83.8},{"$f":"I442","v":10.3},{"$f":"J333/I333","v":0.12291169451073987},null,null,null,{"$f":"ROW()","v":333},null,null,null,null,null,null,null,null,null,null,1998,33.769992337763597,3.5181432554567422,null,null,null,null,null,null,null,1998,1.5439349164362695,2.7635752743792485E-2,22,20.643670953164651]
[null,null,null,null,null,null,null,2010,{"$f":"I507","v":51.5},{"$f":"I508","v":5.9},{"$f":"J334/I334","v":0.11456310679611652},null,null,null,{"$f":"ROW()","v":334},null,null,null,null,null,null,null,null,null,null,1999,32.280793368195191,31.211270123868303,null,null,null,null,null,null,null,1999,1.5135169005479789,0.28920254132640166,40,20.55215894551165]
[null,"2012-2014 figures for All NYC are from http://www.nyc.gov/html/ops/downloads/pdf/pmmr2015/dot.pdf#page=4.",null,null,null,null,null,2011,33.1,{"$f":"I335*ROUND(AVERAGE($K$333:$K$334),2)","v":3.972},null,null,null,null,{"$f":"ROW()","v":335},null,null,null,null,null,null,null,null,null,null,2000,30.79159439862724,7.6699440629112203,null,null,null,null,null,null,null,2000,1.6024983873290848,-1.7471735299902758E-2,20,20.821007038149393]
[null,null,null,null,null,null,null,2012,25.8,{"$f":"I336*ROUND(AVERAGE($K$333:$K$334),2)","v":3.0960000000000001},null,null,null,null,{"$f":"ROW()","v":336},null,null,null,null,null,null,null,null,null,null,2001,29.302395429059288,-7.635728762392624,null,null,null,null,null,null,null,2001,1.536141313216584,-0.20034921129339089,13,20.620185296070339]
[null,{"$f":"CONCATENATE(\"2011-2014 figures for CBD prorate citywide figures by \",ROUND(100*AVERAGE(K333:K334),0), \"%, which is the (rounded) mean CBD share for the two most recent years with data, 2009 and 2010, on premise that earlier share rates haven't been sustained.\")","v":"2011-2014 figures for CBD prorate citywide figures by 12%, which is the (rounded) mean CBD share for the two most recent years with data, 2009 and 2010, on premise that earlier share rates haven't been sustained."},null,null,null,null,null,2013,51.9,{"$f":"I337*ROUND(AVERAGE($K$333:$K$334),2)","v":6.2279999999999998},null,null,null,null,{"$f":"ROW()","v":337},null,null,null,null,null,null,null,null,null,null,2002,27.813196459491337,3.2678846215897437,null,null,null,null,null,null,null,2002,1.4388921254184011,5.3603990868215545E-2,23,20.329366486222835]
[null,null,null,null,null,null,null,2014,65.900000000000006,{"$f":"I338*ROUND(AVERAGE($K$333:$K$334),2)","v":7.9080000000000004},null,null,null,null,{"$f":"ROW()","v":338},null,null,null,null,null,null,null,null,null,null,2003,26.323997489923386,1.3683102023843077,null,null,null,null,null,null,null,2003,1.4990248312299714,-5.6665682769520886E-2,18,20.508702624404123]
[null,null,null,null,null,null,null,2015,null,null,null,null,null,null,{"$f":"ROW()","v":339},null,null,null,null,null,null,null,null,null,null,2004,24.834798520355434,-1.4581751437320563,null,null,null,null,null,null,null,2004,1.4204641981863815,-5.1682418255557305E-2,18,20.27472271572092]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340},null,null,null,null,null,null,null,null,null,null,2005,23.345599550787483,11.437009144864696,null,null,null,null,null,null,null,2005,1.4713325159212791,7.0029635053071582E-2,24,20.425919061134952]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341},null,null,null,null,null,null,null,null,null,null,2006,21.856400581219532,-4.034618403001712,null,null,null,null,null,null,null,2006,1.2946530889860881,-4.3701957665424729E-2,18,19.90556287555593]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342},null,null,null,null,null,null,null,null,null,null,2007,20.367201611651581,2.2743078223106821,null,null,null,null,null,null,null,2007,1.2722473551595246,8.2658021287311145E-2,24,19.840527768055555]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343},null,null,null,null,null,null,null,null,null,null,2008,18.878002642083175,-0.49564970090670357,null,null,null,null,null,null,null,2008,1.1566838802416313,0.1077172200601888,25,19.508451066284906]
[null,"Summary",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344},null,null,null,null,null,null,null,null,null,null,2009,17.388803672515223,-9.6964959802075299,null,null,null,null,null,null,null,2009,1.093062557285287,-0.20700590959212373,12,19.328010623137402]
[null,"Bicycle lane additions in Manhattan CBD in 2006-2011, lane miles",null,null,null,null,null,null,{"$f":"I511","v":39},null,null,null,null,null,{"$f":"ROW()","v":345},null,null,null,null,null,null,null,null,null,null,2010,15.899604702947272,-4.6570011526514143,null,null,null,null,null,null,null,2010,1.0559460752986745,-5.0791789595190373E-3,19,19.223514071272223]
[null,{"$f":"CONCATENATE(\"Calculated in Section X and summed in Row \",O432,\".\")","v":"Calculated in Section X and summed in Row 432."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346},null,null,null,null,null,null,null,null,null,null,2011,14.410405733379321,-2.6785621579603269,null,null,null,null,null,null,null,2011,1.0292888239821458,4.0077439771880163E-2,21,19.148812865345199]
[null,"Effective width of Manhattan CBD bicycle lanes relative to general traffic lanes (ratio)",null,null,null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Effective no. traffic lane-miles removed from general use to increase bicycle lanes in CBD, 2006-11",null,null,null,null,null,null,{"$f":"I347*I345","v":19.5},null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O328,\" and \",O330, \".\")","v":"Product of Rows 328 and 330."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,"Details",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Source: NYCDOT document, \"PlaNYC Bicycle Network Expansion\" (bikeroutedetailsfy07-fy11.pdf)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"2006 (FY07)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"DOT #","Borough","Project",null,null,null,null,"Lane Miles",null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,7,"Bronx","Southern Boulevard ",null,null,null,null,1.5,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,8,"Bronx","174th St ",null,null,null,null,1.5,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,11,"Bronx","167th St, 169th St",null,null,null,null,1.5,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,12,"Bronx","Bryant & Longfellow Aves",null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,13,"Bronx","Park Ave",null,null,null,null,2.5,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,14,"Brooklyn","5th Ave Shared Lane Pilot",null,null,null,null,1.1000000000000001,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,9,"Man. CBD","Grand St - Bicycle Lane & Traffic Calming",null,null,null,null,2.4,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,10,"Man. CBD","Madison St & LEConnectors",null,null,null,null,3,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,5,"Man. non-CBD","W. 77th & W. 78th Sts",null,null,null,null,1.7,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,6,"Man. non-CBD","W. 90th & W. 91st Sts",null,null,null,null,1.2,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,1,"Queens","Shore Front Parkway",null,null,null,null,1.6,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,2,"Queens","Beach Channel Drive",null,null,null,null,4.2,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,3,"Queens","Commonwealth Boulevard",null,null,null,null,2.2000000000000002,null,null,null,null,null,{"$f":"ROW()","v":369}]
[null,4,"Queens","20th Ave - Queens East River Greenway",null,null,null,null,2.8,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,null,null,null,null,null,null,"2006. Total",{"$f":"SUM(I357:I370)","v":29.2},null,null,null,null,null,{"$f":"ROW()","v":371}]
[null,null,null,null,null,null,null,"2006, Manhattan CBD total",{"$f":"SUMIF(C357:C370,\"Man. CBD\",I357:I370)","v":5.4},null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":373}]
[null,"2007 (FY08)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,21,"Bronx","167th St Bronx Crosstown Route 2.9",null,null,null,null,2.9,null,null,null,null,null,{"$f":"ROW()","v":375}]
[null,22,"Bronx","Gerard & Walton Aves 3.2",null,null,null,null,3.2,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,23,"Bronx","Lafayette Ave, Soundview - School Safety Traffic Calming 4.4",null,null,null,null,4.4000000000000004,null,null,null,null,null,{"$f":"ROW()","v":377}]
[null,24,"Bronx","Brush Ave - Hutchinson Greenway to Ferry Point Park 1.9",null,null,null,null,1.9,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,15,"Brooklyn","Berry St 0.2",null,null,null,null,0.2,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,16,"Brooklyn","Willoughby Ave 2.3",null,null,null,null,2.2999999999999998,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,17,"Brooklyn","Carlton Ave - Cumberland St Navy Yard to Prospect Heights Facility 2.4",null,null,null,null,2.4,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,18,"Brooklyn","Brooklyn School Safety Facilities - Lincoln/East New York/Maple 3.1",null,null,null,null,3.1,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,25,"Brooklyn","9th St Safety & Bicycle Project 2.8",null,null,null,null,2.8,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,26,"Brooklyn","Pearl & Jay Sts - DUMBO Connections to Manhattan Bridge 0.7",null,null,null,null,0.7,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,27,"Brooklyn","Central & Evergreen Aves - Brooklyn School Safety Facilities 2.9",null,null,null,null,2.9,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,28,"Brooklyn","Red Hook - Interim Brooklyn Waterfront Greenway 2.6",null,null,null,null,2.6,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,29,"Brooklyn","Grand Army Plaza Southeastern Improvements 0.2",null,null,null,null,0.2,null,null,null,null,null,{"$f":"ROW()","v":387}]
[null,30,"Brooklyn","Franklin, Eagle, Freeman, Banker & N. 14th Sts 2.6",null,null,null,null,2.6,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,31,"Brooklyn","Bedford Ave - Brooklyn Backbone Route 2.4",null,null,null,null,2.4,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,19,"Man. CBD","20th & 21st Sts River to River Crosstown Facility 4.1",null,null,null,null,4.0999999999999996,null,null,null,null,null,{"$f":"ROW()","v":390}]
[null,20,"Man. CBD","Montgomery St 0.6",null,null,null,null,0.6,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,32,"Man. CBD","9th Ave Pedestrian Plaza, Hudson & Bleecker Sts 0.9",null,null,null,null,0.9,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,34,"Man. CBD","Reade & Lafayette Sts - Brooklyn Bridge Access Improvements 1.5",null,null,null,null,1.5,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,35,"Man. CBD","Prince & Bleecker Sts - Crosstown Routes 2.9",null,null,null,null,2.9,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,36,"Man. CBD","9th Ave Complete St Redesign 0.3",null,null,null,null,0.3,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,37,"Man. CBD","Canal St Bicycle Path - Manhattan Bridge Access Improvement 0.1",null,null,null,null,0.1,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,33,"Man. non-CBD","E. 90th & E. 91st Sts - Central Park Connection 2.1",null,null,null,null,2.1,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,38,"Queens","164th St 4.9",null,null,null,null,4.9000000000000004,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,39,"Queens","Parsons Boulevard - Queens School Safety Facilities 2.7",null,null,null,null,2.7,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,40,"Queens","Jewel Ave - P.S. 200 Traffic Calming 2.0",null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":400}]
[null,41,"Staten Island","Hylan Boulevard - Staten Island Backbone 6.5",null,null,null,null,6.5,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,null,null,null,null,null,null,"2007. Total",{"$f":"SUM(I375:I401)","v":63.199999999999996},null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,null,"2007, Manhattan CBD total",{"$f":"SUMIF(C375:C401,\"Man. CBD\",I375:I401)","v":10.4},null,null,null,null,null,{"$f":"ROW()","v":403}]
[null,"2008 (FY09)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,42,"Bronx","Garrison Ave - Hunts Point Network 1.8",null,null,null,null,1.8,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,62,"Bronx","South Bronx / RFK Bridge / Randall's Island Connections 0.7",null,null,null,null,0.7,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,63,"Bronx","Willis, Melrose & Park Aves Traffic Calming & Bicycle Lanes 4.9",null,null,null,null,4.9000000000000004,null,null,null,null,null,{"$f":"ROW()","v":407}]
[null,74,"Bronx","Grand Concourse E. 161st to E. 165th Sts - Capital Reconstruction 0.6",null,null,null,null,0.6,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,47,"Brooklyn","Boerum Place - Downtown Brookyn Stscape 0.5",null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,48,"Brooklyn","Leonard St 2.5",null,null,null,null,2.5,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,49,"Brooklyn","DeKalb Ave Traffic Calming & Bicycle Lane 2.5",null,null,null,null,2.5,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,50,"Brooklyn","Broadway, Williamsburg - Green Refuge Islands & Bicycle Lanes 0.5",null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,53,"Brooklyn","Manhattan & Greenpoint Aves 4.9",null,null,null,null,4.9000000000000004,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,54,"Brooklyn","Vanderbilt Ave Landscaped Median & Bicycle Lanes 0.7",null,null,null,null,0.7,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,58,"Brooklyn","Cobble Hill & Boerum Hill Connections 1.3",null,null,null,null,1.3,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,59,"Brooklyn","Franklin & Wythe Aves - Southbound Brooklyn Backbone 3.5",null,null,null,null,3.5,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,60,"Brooklyn","Berkeley & Lincoln (Degraw & Sackett) - Grand Army Plaza Connectors 1.6",null,null,null,null,1.6,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,69,"Brooklyn","Fulton Landing / Downtown Brooklyn Connectors 1.1",null,null,null,null,1.1000000000000001,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,70,"Brooklyn","Jay, Smith, Schermerhorn & Hoyt Sts: Downtown Brooklyn Connections 1.9",null,null,null,null,1.9,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,71,"Brooklyn","Kent Ave & West St - Interim Brooklyn Waterfront Greenway 4.9",null,null,null,null,4.9000000000000004,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,72,"Brooklyn","Clarendon Road Traffic Calming & Bicycle Lanes 4.0",null,null,null,null,4,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,73,"Brooklyn","S. 5th & S. 4th Sts / Williamsburg Bridge Access 0.9",null,null,null,null,0.9,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,75,"Brooklyn","Columbia St Reconstruction - Brooklyn Waterfront Greenway 0.8",null,null,null,null,0.8,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,43,"Man. CBD","Greenwich & Washington Sts - Contextual Redesign 2.0",null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,44,"Man. CBD","Clinton St Access to Williamsburg Bridge 0.8",null,null,null,null,0.8,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,57,"Man. CBD","Broadway Boulevard - Times Square to Herald Square 0.4",null,null,null,null,0.4,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,61,"Man. CBD","Manhattan Bridge Access Network - Manhattan Side 3.6",null,null,null,null,3.6,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,64,"Man. CBD","Warren St & City Hall Park 0.5",null,null,null,null,0.5,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,67,"Man. CBD","Grand St Parking Protected Bicycle Path 0.7",null,null,null,null,0.7,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,68,"Man. CBD","9th Ave Bicycle Facility & Complete St Ext 0.4",null,null,null,null,0.4,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,76,"Man. CBD","E. 10th St & Ave C - Lower East Side Network 1.9",null,null,null,null,1.9,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,56,"Man. non-CBD","W. 106th St Safety & Bicycle Lanes 1.4",null,null,null,null,1.4,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,45,"Queens","35th St 1.7",null,null,null,null,1.7,null,null,null,null,null,{"$f":"ROW()","v":433}]
[null,46,"Queens","157th Ave & 84th St - Shore Parkway Connections 3.9",null,null,null,null,3.9,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,51,"Queens","Linden Boulevard Traffic Calming & LIRR Access Improvement 2.8",null,null,null,null,2.8,null,null,null,null,null,{"$f":"ROW()","v":435}]
[null,52,"Queens","Sunnyside Connector to Queensboro Bridge 5.0",null,null,null,null,5,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,55,"Queens","Vernon Boulevard - Queens East River Greenway 7.0",null,null,null,null,7,null,null,null,null,null,{"$f":"ROW()","v":437}]
[null,65,"Queens","Rockaway Beach Boulevard 4.8",null,null,null,null,4.8,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,66,"Queens","91st & 92nd Sts 1.9",null,null,null,null,1.9]
[null,77,"Staten Island","Bay St 5.4",null,null,null,null,5.4]
[null,null,null,null,null,null,null,"2008. Total",{"$f":"SUM(I405:I440)","v":83.8}]
[null,null,null,null,null,null,null,"2008, Manhattan CBD total",{"$f":"SUMIF(C405:C440,\"Man. CBD\",I405:I440)","v":10.3}]
[null,"2009 (FY10)"]
[null,80,"Bronx","Grand Concourse - Traffic Calming & Bicycle Lanes 6.2",null,null,null,null,6.2]
[null,81,"Bronx","Tibbett Ave - East Coast Greenway Connector Route 3.4",null,null,null,null,3.4]
[null,89,"Bronx","Third Ave South Bronx - Manhattan Bicycle Connection 1.3",null,null,null,null,1.3]
[null,90,"Bronx","E 188th St 0.1",null,null,null,null,0.1]
[null,91,"Bronx","Allerton Ave Traffic Calming 2.5",null,null,null,null,2.5]
[null,78,"Brooklyn","Grand St & Driggs Ave - Williamsburg Bridge Access 4.2",null,null,null,null,4.2]
[null,79,"Brooklyn","Bergen St Bicycle Lane Ext 1.2",null,null,null,null,1.2]
[null,92,"Brooklyn","Empire Boulevard 2.8",null,null,null,null,2.8]
[null,93,"Brooklyn","7th Ave Traffic Calming 1.9",null,null,null,null,1.9]
[null,94,"Brooklyn","Ave H Brooklyn College Cycling Linkage 1.8",null,null,null,null,1.8]
[null,95,"Brooklyn","9th St Community Enhancement and Bicycle Route Upgrade 1.1",null,null,null,null,1.1000000000000001]
[null,96,"Brooklyn","Columbia St Bicycle Lanes and Traffic Calming 0.6",null,null,null,null,0.6]
[null,97,"Brooklyn","Kent Ave - Brooklyn Waterfront Greenway Upgrade 3.1",null,null,null,null,3.1]
[null,98,"Brooklyn","Williamsburg St West - Brooklyn Waterfront Greenway Upgrade 0.7",null,null,null,null,0.7]
[null,99,"Brooklyn","Tillary St Brooklyn Bridge Bicycle Access from Jay St 0.1",null,null,null,null,0.1]
[null,100,"Brooklyn","Schermerhorn St - Transit Plaza, Traffic Calming & Bicycle Route 1.2",null,null,null,null,1.2]
[null,101,"Brooklyn","Gerritsen Ave 4.1",null,null,null,null,4.0999999999999996]
[null,104,"Brooklyn","Park Circle 0.5",null,null,null,null,0.5]
[null,105,"Brooklyn","Liberty & E. New York Aves Brooklyn-Queens Greenway Gap 5.6",null,null,null,null,5.6]
[null,106,"Brooklyn","Sands St Bicycle Path & Greeenstreet 0.6",null,null,null,null,0.6]
[null,82,"Man. CBD","8th Ave Complete St Redesign 0.7",null,null,null,null,0.7]
[null,83,"Man. CBD","Ave A Bicycle Lanes 1.3",null,null,null,null,1.3]
[null,84,"Man. CBD","W. 10th & Christopher Sts - Crosstown Lanes 1.1",null,null,null,null,1.1000000000000001]
[null,85,"Man. CBD","MacDougal, Thompson, Washington Square North - Southbound Route 0.8",null,null,null,null,0.8]
[null,107,"Man. CBD","Allen & Pike Sts Pedestrian & Bicycle Improvement 1.9",null,null,null,null,1.9]
[null,108,"Man. CBD","Broadway 1.1",null,null,null,null,1.1000000000000001]
[null,109,"Man. CBD","Delancey St Median - Williamsburg Bridge Bike Path Ext 0.1",null,null,null,null,0.1]
[null,86,"Queens","28th & 29th Sts Astoria to Queensboro Bridge 1.5",null,null,null,null,1.5]
[null,87,"Queens","34th Ave - Astoria Waterfront Access 3.8",null,null,null,null,3.8]
[null,102,"Queens","Center Boulevard 0.2",null,null,null,null,0.2]
[null,103,"Queens","Sanford Ave 0.4",null,null,null,null,0.4]
[null,110,"Queens","Skillman and 43rd Ave Exts 0.6",null,null,null,null,0.6]
[null,88,"Staten Island","North & South Railroad Aves S.I. Backbone Bicycle Route 4.8",null,null,null,null,4.8]
[null,null,null,null,null,null,null,"2009. Total",{"$f":"SUM(I444:I476)","v":61.300000000000004}]
[null,null,null,null,null,null,null,"2009, Manhattan CBD total",{"$f":"SUMIF(C444:C476,\"Man. CBD\",I444:I476)","v":7}]
[null,"2010 (FY11)"]
[null,112,"Bronx","Laconia Ave Traffic Calming 4.5",null,null,null,null,4.5]
[null,113,"Bronx","Van Cortlandt Park East Traffic Calming 1.5",null,null,null,null,1.5]
[null,114,"Bronx","Crotona Park 1.2",null,null,null,null,1.2]
[null,118,"Bronx","Randall, Leggett & Tiffany 3.5",null,null,null,null,3.5]
[null,119,"Bronx","Southern Boulevard 2.9",null,null,null,null,2.9]
[null,111,"Brooklyn","Prospect Park West Bicycle Path & Traffic Calming 1.8",null,null,null,null,1.8]
[null,115,"Brooklyn","West 6th St 3.0",null,null,null,null,3]
[null,120,"Brooklyn","Columbia St Bicycle Lane Ext 0.6",null,null,null,null,0.6]
[null,121,"Brooklyn","Vanderbilt Ave Bicycle Lane Ext 2.5",null,null,null,null,2.5]
[null,122,"Brooklyn","Flushing Ave 2.4",null,null,null,null,2.4]
[null,123,"Brooklyn","Church Ave 1.0",null,null,null,null,1]
[null,124,"Brooklyn","Furman St 1.0",null,null,null,null,1]
[null,125,"Brooklyn","Rockaway Parkway 3.0",null,null,null,null,3]
[null,126,"Brooklyn","Smith & Hoyt Sts Bicycle Lane Exts 1.7",null,null,null,null,1.7]
[null,127,"Brooklyn","Kent Ave 0.4",null,null,null,null,0.4]
[null,137,"Brooklyn","Washington Ave 1.1",null,null,null,null,1.1000000000000001]
[null,116,"Man. CBD","Rivington, Suffolk & Stanton Sts 1.4",null,null,null,null,1.4]
[null,130,"Man. CBD","8th Ave 0.5",null,null,null,null,0.5]
[null,131,"Man. CBD","Broadway: Madison Square - Union Square 0.6",null,null,null,null,0.6]
[null,132,"Man. CBD","First Ave 1.7",null,null,null,null,1.7]
[null,133,"Man. CBD","Second Ave 1.7",null,null,null,null,1.7]
[null,128,"Man. non-CBD","St. Nicholas Av and Amsterdam Av 0.3",null,null,null,null,0.3]
[null,129,"Man. non-CBD","Columbus Ave 1.0",null,null,null,null,1]
[null,117,"Queens","Kew Gardens - Brooklyn Queens Greenway Upgrade 4.9",null,null,null,null,4.9000000000000004]
[null,134,"Queens","Hoyt Ave at RFK Bridge 3.6",null,null,null,null,3.6]
[null,135,"Queens","Beach Channel Drive Traffic Calming & Bicycle Lane Ext 2.6",null,null,null,null,2.6]
[null,136,"Queens","44th Drive 1.1",null,null,null,null,1.1000000000000001]
[null,null,null,null,null,null,null,"2010. Total",{"$f":"SUM(I480:I506)","v":51.5}]
[null,null,null,null,null,null,null,"2010, Manhattan CBD total",{"$f":"SUMIF(C480:C506,\"Man. CBD\",I480:I506)","v":5.9}]
[]
[null,null,null,null,null,null,null,"2006-2010. Total",{"$f":"I371+I402+I441+I477+I507","v":289}]
[null,null,null,null,null,null,null,"2006-2010. Manhattan CBD total",{"$f":"I372+I403+I442+I478+I508","v":39}]
[null,null,null,null,null,null,null,"\"Total Lane Miles\" given at bottom of the NYCDOT pdf document:",288.5]

{"sheet":"Weekday Hours","index":38,"n_rows":252,"n_cols":22,"rows_kept":252,"cut":false,"hidden":false,"merged":[[62,19,64,21],[5,9,10,12],[16,15,16,21],[29,19,29,21],[20,19,28,21],[30,19,32,21],[29,10,30,11],[246,1,247,11],[158,1,160,11],[162,1,165,11],[59,15,60,17],[167,1,168,11],[154,1,156,11],[238,1,239,11],[60,7,62,8],[136,6,138,7],[90,1,96,8],[221,1,223,11],[140,2,150,3],[98,1,101,8],[203,2,210,9],[174,1,179,11],[29,1,32,3],[29,7,32,8],[3,6,3,7],[4,6,5,7],[229,1,230,11]]}
[null,"Weekday Hours",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,"Weekday Toll Levels",null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,"(round-trip, i.e., 2x the toll charged in each direction)",null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,"Toll levels at left feed directly into tolls for each hour, shown in \"Toll\" column below. They strongly affect the traffic changes calculated in Motor Vs worksheet. User may change by replacing toll levels shown with his/her own. Do so in Policy Levers worksheet, rather than here.",null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,1,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K30","v":1.0000000000000001E-5},null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,2,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K31","v":1.0000000000000001E-5},null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,3,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K32","v":12.24},null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,4,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K33","v":12.24},null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,5,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K34","v":12.24},null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Note: All data is for Weekdays. Weekend data appear in separate worksheet, \"Weekend Hours.\"",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"This worksheet is in two parts.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"1. Establish hourly volumes and define rate periods on the basis of relative volumes.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17},null,"I N B O U N D   T R I P S   I N T O   C O R D O N - breakdown into work, nonwork, and thru trips"]
[null,"We use hourly volumes of all crossings into Manhattan (combined) as our data base.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Total Manhattan Crossings, 2015 Average Hourly Traffic Volumes, To and From Manhattan, (All Facilities)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21},null,null,null,null,null,"Factors in box to left adjust inbound work and thru-trip shares of auto trips from their 24-h averages. Value of 1.00 indicates no adjustment, i.e., that percent of work or thru trips in period matches 24-h avg for that trip type. Thus, factor of 2.00 for graveyard-shift thru-trips indicates that thru-trips in that shift had twice their overall (24-h) share of trips. Non-work trip factors aren't shown because they \"fall out of\" the work and thru-trip shares. Factors were selected by Komanoff, based on judgment."]
[null,"Source: 2015 Manhattan River Crossings, NYC DOT, Oct 2016, www.nyc.gov/html/dot/downloads/pdf/manhattan-river-crossings-2015.pdf, p. 3. ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22},null,null,"Work","Thru"]
[null,"Note: Schaller (\"Necessity or Choice\") has important H.I.S.-derived data on work/non-work splits by time of day, pp 27, 29, 32.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23},null,"Graveyard",0.4,2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24},null,"A.M. Pre-peak",1.5,1]
[null,null,null,null,null,null,null,null,null,"Work","Non-work","Thru",null,{"$f":"ROW()","v":25},null,"A.M. Peak",1.6,0.6]
[null,"Each hour's breakdown into work, non-work and thru trips, if those %'s were invariant w/r/t hour:",null,null,null,null,null,null,null,{"$f":"'Motor Vs'!I85/(SUM('Motor Vs'!$I$85:$K$85))","v":0.46545679521550837},{"$f":"'Motor Vs'!J85/(SUM('Motor Vs'!$I$85:$K$85))","v":0.32728397607754178},{"$f":"'Motor Vs'!K85/(SUM('Motor Vs'!$I$85:$K$85))","v":0.20725922870694988},null,{"$f":"ROW()","v":26},null,"A.M. Post-peak",1.3,0.6]
[null,"Calculated by apportioning 24-h total entries into charging zone for each trip type shown in Motor V's, among the three respective components.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27},null,"Midday Peak",1.1000000000000001,0.8]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28},null,"P.M. Peak",0.75,1]
[null,"INBOUND",null,null,null,null,null,null,null,null,"OUTBOUND",null,null,{"$f":"ROW()","v":29},null,"P.M. Post-peak",0.6,1.5]
[null,{"$f":"CONCATENATE(\"These columns show inbound hourly volumes into Manhattan (from source in Row \",N22, \", p. 14). We also group the hours by volume and assign toll rates to each grouping.\")","v":"These columns show inbound hourly volumes into Manhattan (from source in Row 22, p. 14). We also group the hours by volume and assign toll rates to each grouping."},null,null,null,null,null,{"$f":"CONCATENATE(\"Toll levels in column below are generated from levels specified in box in Rows \",N5, \"-\",N11, \". Do Not Change From Here.\")","v":"Toll levels in column below are generated from levels specified in box in Rows 5-11. Do Not Change From Here."},null,null,{"$f":"CONCATENATE(\"These cols. are also from Row \",N22,\" source.\")","v":"These cols. are also from Row 22 source."},null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31},null,"Work % auto","Non-wk % auto","Thru % auto",null,"These columns convert %'s at left to %'s of 24-h work, non-work and thru trips occurring in each hour shown."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33},{"$f":"SUM(P33:R33)","v":1},{"$f":"J26","v":0.46545679521550837},{"$f":"K26","v":0.32728397607754178},{"$f":"L26","v":0.20725922870694988}]
[null,"1-hr period, starting:","Hourly Volume","% of Daily Total","Rank","Hourly Vol., % of Mean Hour","Rate Class","Toll \"Bin\"","Round-Trip Toll",null,"Hourly Volume","% of Daily Total",null,{"$f":"ROW()","v":34},null,"Work-trip % of Daily Total","Non-work-trip % Daily Total","Thru-trip % Daily Total",null,"Work-trip % of Daily Work Tot.","Non-wk trip% of Non-wk Tot.","Thru trip% of Thru Tot."]
[null,"Midnight",15370,{"$f":"C35/$C$59","v":1.7002456893738516E-2},20,{"$f":"C35/$C$61","v":0.40805896544972436},"Graveyard",1,{"$f":"VLOOKUP(H35,$G$7:$H$11,2)","v":1.0000000000000001E-5},null,24432,{"$f":"K35/$K$59","v":2.7396185031896059E-2},null,{"$f":"ROW()","v":35},{"$f":"SUM(P35:R35)","v":1.7002456893738516E-2},{"$f":"$D35*P$33*IF($G35=\"Graveyard\",Q$23,IF($G35=\"A.M. Pre-peak\",Q$24,IF($G35=\"A.M. Peak\",Q$25,IF($G35=\"A.M. Post-peak\",Q$26,IF($G35=\"Midday Peak\",Q$27,IF($G35=\"P.M. Peak\",Q$28,IF($G35=\"P.M. Post-peak\",Q$29)))))))","v":3.1655636386197432E-3},{"$f":"D35-P35-R35","v":6.7890610512799576E-3},{"$f":"$D35*R$33*IF($G35=\"Graveyard\",R$23,IF($G35=\"A.M. Pre-peak\",R$24,IF($G35=\"A.M. Peak\",R$25,IF($G35=\"A.M. Post-peak\",R$26,IF($G35=\"Midday Peak\",R$27,IF($G35=\"P.M. Peak\",R$28,IF($G35=\"P.M. Post-peak\",R$29)))))))","v":7.0478322038388152E-3},null,{"$f":"P35/P$59","v":6.7973573228008941E-3},{"$f":"Q35/Q$59","v":2.079335232620437E-2},{"$f":"R35/R$59","v":3.3917492444696495E-2}]
[null,"1 a.m.",10127,1.1202594727579047E-2,22,0.26886227346189712,"Graveyard",1,{"$f":"VLOOKUP(H36,$G$7:$H$11,2)","v":1.0000000000000001E-5},null,15268,1.7120372997175386E-2,null,{"$f":"ROW()","v":36},1.1202594727579045E-2,{"$f":"$D36*P$33*IF($G36=\"Graveyard\",Q$23,IF($G36=\"A.M. Pre-peak\",Q$24,IF($G36=\"A.M. Peak\",Q$25,IF($G36=\"A.M. Post-peak\",Q$26,IF($G36=\"Midday Peak\",Q$27,IF($G36=\"P.M. Peak\",Q$28,IF($G36=\"P.M. Post-peak\",Q$29)))))))","v":2.0857295359988379E-3},{"$f":"D36-P36-R36","v":4.473182906071055E-3},{"$f":"$D36*R$33*IF($G36=\"Graveyard\",R$23,IF($G36=\"A.M. Pre-peak\",R$24,IF($G36=\"A.M. Peak\",R$25,IF($G36=\"A.M. Post-peak\",R$26,IF($G36=\"Midday Peak\",R$27,IF($G36=\"P.M. Peak\",R$28,IF($G36=\"P.M. Post-peak\",R$29)))))))","v":4.6436822855091533E-3},null,4.4786491612234646E-3,1.3700343461774341E-2,2.2347589198922668E-2]
[null,"2 a.m.",8200,9.0709269049223055E-3,24,0.21770224571813532,"Graveyard",1,1.0000000000000001E-5,null,10642,1.1933128729102727E-2,null,{"$f":"ROW()","v":37},9.0709269049223055E-3,1.6888498267197069E-3,3.6220104502599645E-3,3.7600666279426344E-3,null,3.6264365677922791E-3,1.1093395515606756E-2,1.8095213926253174E-2]
[null,"3 a.m.",9081,1.0045498441902372E-2,23,0.24109196260565693,"Graveyard",1,1.0000000000000001E-5,null,9522,1.0677245983698194E-2,null,{"$f":"ROW()","v":38},1.0045498441902372E-2,1.8702982044441045E-3,4.0111557193671619E-3,4.1640445180911052E-3,null,4.0160573746489863E-3,1.228525910697865E-2,2.0039346056622571E-2]
[null,"4 a.m.",15142,1.6750240877357749E-2,21,0.40200578105658596,"Graveyard",1,1.0000000000000001E-5,null,12644,1.4178019136513334E-2,null,{"$f":"ROW()","v":39},1.6750240877357749E-2,3.1186053751450973E-3,6.6883514924190703E-3,6.943284009793581E-3,null,6.6965246962817906E-3,2.0484901816746035E-2,3.3414357228210428E-2]
[null,"5 a.m.",35552,3.9327999185829E-2,17,0.94387198045989595,"A.M. Pre-peak",2,1.0000000000000001E-5,null,20356,2.2825668897727414E-2,null,{"$f":"ROW()","v":40},3.9327999185829E-2,2.7458226694911134E-2,3.7186817130753953E-3,8.1510907778424707E-3,null,5.8960551611959344E-2,1.1389477641302383E-2,3.9226893018667851E-2]
[null,"6 a.m.",60062,6.6441220946761401E-2,3,1.5945893027222737,"A.M. Peak",5,12.24,null,33168,3.7192070446051426E-2,null,{"$f":"ROW()","v":41},6.6441220946761401E-2,4.9480828435336105E-2,8.6980587867610103E-3,8.2623337246642854E-3,null,0.10624928445597065,2.6640178890873448E-2,3.9762246542876266E-2]
[null,"7 a.m.",61748,6.8306292015261283E-2,1,1.6393510083662708,"A.M. Peak",5,12.24,null,39483,4.4273230747149311E-2,null,{"$f":"ROW()","v":42},6.8306292015261283E-2,5.0869804439165105E-2,8.9422219367473327E-3,8.4942656393488455E-3,null,0.10923180740879886,2.7387995174214176E-2,4.0878412299449302E-2]
[null,"8 a.m.",57317,6.3404672854808747E-2,2,1.5217121485154101,"A.M. Peak",5,12.24,null,40696,4.5633396613377619E-2,null,{"$f":"ROW()","v":43},6.3404672854808747E-2,4.7219417325899231E-2,8.3005333735270311E-3,7.8847221553824849E-3,null,0.1013933974420244,2.5422648821021486E-2,3.7945001583331202E-2]
[null,"9 a.m.",52768,5.8372520843773194E-2,4,1.4009405002505566,"A.M. Post-peak",4,12.24,null,37339,4.1869112348803493E-2,null,{"$f":"ROW()","v":44},5.8372520843773194E-2,3.5320852424771072E-2,1.5792722230345651E-2,7.258946188656472E-3,null,7.5843825076842022E-2,4.836952194789091E-2,3.4933472504653437E-2]
[null,"10 a.m.",46728,5.1691008830879202E-2,9,1.240584211941101,"Midday Peak",3,12.24,null,36666,4.1114461377680947E-2,null,{"$f":"ROW()","v":45},5.1691008830879209E-2,2.6465924443065336E-2,1.6654333490716138E-2,8.5707508970977279E-3,null,5.6829799004200418E-2,5.1008441581958837E-2,4.1246495431510162E-2]
[null,"11 a.m.",44061,4.8740745165583133E-2,11,1.1697778839739952,"Midday Peak",3,12.24,null,38043,4.2658524360200629E-2,null,{"$f":"ROW()","v":46},4.8740745165583133E-2,2.4955382145306921E-2,1.5703787620579605E-2,8.0815753996966045E-3,null,5.3586238955745477E-2,4.8097135433630554E-2,3.8892352234372735E-2]
[null,"12 noon",41990,4.6449783016791174E-2,14,1.1147947924029882,"Midday Peak",3,12.24,null,39571,4.4371907248573955E-2,null,{"$f":"ROW()","v":47},4.6449783016791174E-2,2.3782403855596507E-2,1.4965662199862412E-2,7.7017169613322542E-3,null,5.1067523972487067E-2,4.5836424885003682E-2,3.7064294281140039E-2]
[null,"1 p.m.",43496,4.811573617762202E-2,13,1.1547776682629285,"Midday Peak",3,12.24,null,42990,4.8205713593697262E-2,null,{"$f":"ROW()","v":48},4.811573617762202E-2,2.4635375996737926E-2,1.5502415885811275E-2,7.9779442950728193E-3,null,5.2899095563403123E-2,4.7480379537940466E-2,3.8393630484697946E-2]
[null,"2 p.m.",46453,5.138680091638486E-2,10,1.2332832219932366,"P.M. Peak",4,12.24,null,48670,5.4574833231105971E-2,null,{"$f":"ROW()","v":49},5.138680091638486E-2,1.7938751753188382E-2,2.2797660439548964E-2,1.0650388723647512E-2,null,3.8519555918518605E-2,6.9824056986988056E-2,5.1254693446112116E-2]
[null,"3 p.m.",47884,5.2969788282353616E-2,8,1.2712749187764869,"P.M. Peak",4,12.24,null,55615,6.2362427576493913E-2,null,{"$f":"ROW()","v":50},5.296978828235361E-2,1.8491360922861227E-2,2.3499949895321344E-2,1.0978477464171042E-2,null,3.9706163554611006E-2,7.1975010112693166E-2,5.2833611197847984E-2]
[null,"4 p.m.",48189,5.33071825147928E-2,6,1.2793723803550272,"P.M. Peak",4,12.24,null,59014,6.617380744402071E-2,null,{"$f":"ROW()","v":51},5.33071825147928E-2,1.8609142751477729E-2,2.3649634230758512E-2,1.104840553255656E-2,null,3.9959074336587373E-2,7.2433459241512246E-2,5.317013804220818E-2]
[null,"5 p.m.",48887,5.4079317512309356E-2,5,1.2979036202954246,"P.M. Peak",4,12.24,null,59705,6.6948642244980108E-2,null,{"$f":"ROW()","v":52},5.4079317512309356E-2,1.8878689362541071E-2,2.3992190513168803E-2,1.1208437636599485E-2,null,4.0537866880257872E-2,7.3482631346153876E-2,5.3940288000776757E-2]
[null,"6 p.m.",47374,5.2405620877291378E-2,7,1.257734901054993,"P.M. Peak",4,12.24,null,56919,6.3824633915786327E-2,null,{"$f":"ROW()","v":53},5.2405620877291378E-2,1.8294414258617237E-2,2.3249658055737903E-2,1.0861548562936241E-2,null,3.9283263558519375E-2,7.1208423044831826E-2,5.2270894179409624E-2]
[null,"7 p.m.",41968,4.6425446383631622E-2,12,1.114210713207159,"P.M. Peak",4,12.24,null,53376,5.9851783409564666E-2,null,{"$f":"ROW()","v":54},4.6425446383631622E-2,1.620677961763094E-2,2.0596564556153336E-2,9.6221022098473448E-3,null,3.4800523599948098E-2,6.3082600125501362E-2,4.6306093783962991E-2]
[null,"8 p.m.",35711,3.9503886670936642E-2,15,0.9480932801024794,"P.M. Post-peak",2,1.0000000000000001E-5,null,48219,5.4069116161304685E-2,null,{"$f":"ROW()","v":55},3.9503886670936642E-2,1.1032411493046484E-2,1.6190157554372527E-2,1.228131762351763E-2,null,2.3689696879103061E-2,4.9586776094959158E-2,5.9103492486624429E-2]
[null,"9 p.m.",32692,3.6164236875087803E-2,16,0.86794168500210733,"P.M. Post-peak",2,1.0000000000000001E-5,null,41140,4.6131264416020133E-2,null,{"$f":"ROW()","v":56},3.6164236875087803E-2,1.0099733878375728E-2,1.4821445234452876E-2,1.1243057762259201E-2,null,2.1686975172121675E-2,4.5394721069037684E-2,5.4106896372902627E-2]
[null,"10 p.m.",29931,3.3109989413564578E-2,18,0.79463974592554987,"P.M. Post-peak",2,1.0000000000000001E-5,null,36794,4.1257990834298604E-2,null,{"$f":"ROW()","v":57},3.3109989413564578E-2,9.2467617372343058E-3,1.3569701373804265E-2,1.0293526302526005E-2,null,1.9855403581205616E-2,4.156091387242649E-2,4.9537303173172294E-2]
[null,"11 p.m.",23256,2.5726033670838186E-2,19,0.61742480810011646,"Graveyard",1,1.0000000000000001E-5,null,31531,3.5356463254777121E-2,null,{"$f":"ROW()","v":58},2.5726033670838186E-2,4.7897428744138413E-3,1.0272375003810457E-2,1.0663915792613889E-2,null,1.0284927904948444E-2,3.1461951964750094E-2,5.1319792081578504E-2]
[null,"24 hrs",{"$f":"SUM(C35:C58)","v":903987},{"$f":"SUM(D35:D58)","v":0.99999999999999989},null,null,null,null,{"$f":"SUMPRODUCT(C35:C58,I35:I58)/C59","v":9.3280590878187404},null,{"$f":"SUM(K35:K58)","v":891803},{"$f":"SUM(L35:L58)","v":0.99999999999999989},null,{"$f":"ROW()","v":59},{"$f":"SUM(P59:R59)","v":1},{"$f":"SUM(P35:P58)","v":0.46570505099110382},{"$f":"SUM(Q35:Q58)","v":0.32650151571395203},{"$f":"SUM(R35:R58)","v":0.20779343329494421},null,{"$f":"SUM(T35:T58)","v":0.99999999999999989},{"$f":"SUM(U35:U58)","v":1},{"$f":"SUM(V35:V58)","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60},null,"Sums of figures in columns match actual 24-h totals almost perfectly.               "]
[null,"avg hour",{"$f":"C59/24","v":37666.125},null,null,null,null,"Wghtd avg toll (before trip resettlements to lower-toll periods)",null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62},null,null,null,null,null,"Work","Non-Work","Thru"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63},null,null,null,null,null,"Each array element is respective share of inbound auto trip types (work, non-work, thru) occurring in the respective pricing bins."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},null,null,null,null,"Graveyard",{"$f":"SUMIF($G$35:$G$58,\"=Graveyard\",T$35:T$58)","v":3.5899953027695858E-2},{"$f":"SUMIF($G$35:$G$58,\"=Graveyard\",U$35:U$58)","v":0.10981920419206026},{"$f":"SUMIF($G$35:$G$58,\"=Graveyard\",V$35:V$58)","v":0.17913379093628384}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},null,null,null,null,"A.M. Pre-peak",{"$f":"SUMIF($G$35:$G$58,\"=A.M. Pre-peak\",T$35:T$58)","v":5.8960551611959344E-2},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Pre-peak\",U$35:U$58)","v":1.1389477641302383E-2},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Pre-peak\",V$35:V$58)","v":3.9226893018667851E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,null,null,null,"A.M. Peak",{"$f":"SUMIF($G$35:$G$58,\"=A.M. Peak\",T$35:T$58)","v":0.31687448930679391},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Peak\",U$35:U$58)","v":7.9450822886109107E-2},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Peak\",V$35:V$58)","v":0.11858566042565677}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69},null,null,null,null,"A.M. Post-peak",{"$f":"SUMIF($G$35:$G$58,\"=A.M. Post-peak\",T$35:T$58)","v":7.5843825076842022E-2},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Post-peak\",U$35:U$58)","v":4.836952194789091E-2},{"$f":"SUMIF($G$35:$G$58,\"=A.M. Post-peak\",V$35:V$58)","v":3.4933472504653437E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},null,null,null,null,"Midday Peak",{"$f":"SUMIF($G$35:$G$58,\"=Midday Peak\",T$35:T$58)","v":0.21438265749583607},{"$f":"SUMIF($G$35:$G$58,\"=Midday Peak\",U$35:U$58)","v":0.19242238143853355},{"$f":"SUMIF($G$35:$G$58,\"=Midday Peak\",V$35:V$58)","v":0.15559677243172088}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71},null,null,null,null,"P.M. Peak",{"$f":"SUMIF($G$35:$G$58,\"=P.M. Peak\",T$35:T$58)","v":0.23280644784844234},{"$f":"SUMIF($G$35:$G$58,\"=P.M. Peak\",U$35:U$58)","v":0.42200618085768055},{"$f":"SUMIF($G$35:$G$58,\"=P.M. Peak\",V$35:V$58)","v":0.30977571865031767}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72},null,null,null,null,"P.M. Post-peak",{"$f":"SUMIF($G$35:$G$58,\"=P.M. Post-peak\",T$35:T$58)","v":6.5232075632430359E-2},{"$f":"SUMIF($G$35:$G$58,\"=P.M. Post-peak\",U$35:U$58)","v":0.13654241103642334},{"$f":"SUMIF($G$35:$G$58,\"=P.M. Post-peak\",V$35:V$58)","v":0.16274769203269934}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73},null,null,null,null,null,{"$f":"SUM(T66:T72)","v":0.99999999999999989},{"$f":"SUM(U66:U72)","v":1},{"$f":"SUM(V66:V72)","v":0.99999999999999978}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"2. Develop an algorithm to estimate auto user's propensity to switch to a lower adjacent toll period",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Method: To estimate drivers' propensity to capitalize on a lower toll by switching the time at which they travel, we relied on the findings of a road-tolling experiment conducted in the Seattle region in 2006-07 by the Puget Sound Regional Council (PSRC). (The PSRC's Traffic Choices Study summary report is available here: https://www.psrc.org/sites/default/files/traffic-choices.pdf.) From 4,510 observations of driver behavior including \"baseline\" and \"tolled\" time choices, the PSRC analysts distilled a functional relationship capturing the probability of switching to a lower toll period as the minutes or hours of time-switching increased or decreased.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"This formula is shown directly below, in Section A. Several adjustments were required to apply it to NYC cordon conditions. These are detailed in Section B. We also needed to specify the mathematical (probabilistic) interaction between the propensity of tolled drivers to time-switch and their tendency to forego the auto trip entirely in the face of the toll. Our treatment of this is discussed in Section C.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"A. Probability of moving to a lower toll period in the PSRC (Puget Sound Regional Council) study",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"p = 1/(1+exp(-b0 - b1*x))",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"where p is the probability of shifting to a lower toll period when the lower toll period is between x and x+deltax away",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"x is in hours and deltax is .25 hours",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"b0 and b1 are coefficients (with values given in email from Matthew Kitchen, PSRC to Deena Patel, 8 Oct. 2008).",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"b0",-0.373,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"b1",-0.97199999999999998,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"x ","p",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"time to lower toll in hours","probability of shifting",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,0,{"$f":"1/(1+EXP(-$C$110-$C$111*B115))","v":0.40781631518767292},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,0.25,{"$f":"1/(1+EXP(-$C$110-$C$111*B116))","v":0.35069173472886578},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,0.5,0.2975483166472328,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,0.75,0.24936534224156595,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,1,0.20668901283744179,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,1.25,0.16966546900947296,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,1.5,0.13811918780994145,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,1.75,0.11164968570482654,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,2,8.9724780673936508E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,2.25,7.1757542263751362E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,2.5,5.7162276682630894E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,2.75,4.5390479387161564E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,3,3.5950487854562355E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,3.25,2.8415319802735414E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,3.5,2.2422777365062686E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,3.75,1.7671024388489009E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,4,1.3911915262187715E-2,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"X and P value pairs were also provided in Matthew Kitchen e-mail referenced in Row \",N109, \".\")","v":"X and P value pairs were also provided in Matthew Kitchen e-mail referenced in Row 109."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"To find the average probability of shifting in a period we need to integrate",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"integral of p(x) dx = f(x)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"where f(x) = (log (1+exp(b0+b1*x))/b1",null,null,null,null,"average probability of shifting for all drivers between 0 and x hours",null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,null,null,"x","f(x)","[f(x) - f(0)]/x",null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,"How to read this box Right-column value of 0.17 assoc'd with x = 3 indicates that, in PSRC experiment, drivers whose \"time-distance\" to a lower toll period was 3 hours or less had a 17% probability of time-switching into that period.",null,0,{"$f":"LN(1+EXP($C$110+$C$111*E141))/$C$111","v":-0.53903128994374272},null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,1,{"$f":"LN(1+EXP($C$110+$C$111*E142))/$C$111","v":-0.23820984446871371},{"$f":"(F142-$F$141)/E142","v":0.30082144547502898},null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,2,-9.6716344009045302E-2,{"$f":"(F143-$F$141)/E143","v":0.22115747296734872},null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,3,-3.7667309201451067E-2,0.1671213269140972,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,4,-1.4413161456571115E-2,0.1311545321217929,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,5,-5.4766408275568196E-3,0.10671092982323718,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,6,-2.0753834827545877E-3,8.9492651076831353E-2,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,7,-7.8566317958192911E-4,7.6892232394880106E-2,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,8,-2.9730707813192863E-4,6.7341747858201351E-2,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,9,-1.1248899136668244E-4,5.9879866772486218E-2,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,10,-4.2558914893385675E-5,5.3898873102884937E-2,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"B. Mathematical treatment of interaction/competition between trip time-switching and trip elimination",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Our price-elasticity model predicts that X% of auto trips in a given period will disappear in the face of the higher cost to drive with the toll; our time-switching algorithm (detailed above) predicts that Y% of auto trips in the same period will shift to another period. How shall the two tendencies be modeled together in a way that reflects their simultaneous impacts?",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"After considering various approaches, we chose to (1) calculate the probability that a trip will shift in one fashion or another, i.e., whether by time-shifting or \"disappearing\"; and (2) assign these changed trips among trip disappearance, shifting earlier, and shifting later, in proportion to the relative magnitudes of the three independent probabilities.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"To illustrate, consider a time period and various price conditions and elasticities such that the independent probability of trip disappearance is D, and the probabilities of trip shifting earlier or later are E and L. The probability of a trip \"surviving\" (remaining in place) is given by (1-D) x (1-E) x (1-L). And the probability of a trip not surviving, i.e., changing in some fashion, is one minus that. Let's call that result \"C\", the probability of changing in response to the various price incentives.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"The number of trips that change is then given by the product of C (which is a percent) and the \"baseline\" number of trips in the period. We divide up that quantity into three parts, based on the relative magnitudes of D, E and L.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,{"$f":"CONCATENATE(\"These steps are performed sequentially in Rows \",'Motor Vs'!O367, \" through \",'Motor Vs'!O422, \" of the Motor V's worksheet.\")","v":"These steps are performed sequentially in Rows 367 through 422 of the Motor V's worksheet."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"C. Applying Results of PANYNJ's time-varied tolls, implemented in March 2001",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"This section extrapolates from the time-shifting propensities observed at the Port Authority's six tunnels and bridges, five of which connect New Jersey with NYC, after the PA introduced its \"Value Toll Pricing Program\" on March 25, 2001. The elasticities shown below are drawn from the 2007 paper \"Congestion Pricing As A Traffic Management Tool: Evaluating The Impacts At New York City’s Interstate Crossings,\" by Carolyn Wolff and Pierre Vilain (Table 3), presented at the Transportation Research Forum, 48th Annual Forum in : 2007. Unfortunately, the paper is no longer Web-available, although the abstract may be accessed at <https://trid.trb.org/view/836752>. We adjust them to reflect differences in the duration (number of hours) in our toll periods vis-a-vis the PA's periods.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,"from period","# hrs",null,"to period",null,"elasticity",null,"source",null,null,null,{"$f":"ROW()","v":182}]
[null,null,"Morning Peak",3,null,"Morning Before Peak ",null,-0.6,null,"PANYNJ",null,null,null,{"$f":"ROW()","v":183}]
[null,null,"Morning Peak",3,null,"Morning After Peak",null,-0.13,null,"PANYNJ",null,null,null,{"$f":"ROW()","v":184}]
[null,null,"Evening Peak",3,null,"Evening Before Peak",null,-0.22,null,"PANYNJ",null,null,null,{"$f":"ROW()","v":185}]
[null,null,"Evening Peak",3,null,"Evening After Peak",null,-0.09,null,"PANYNJ",null,null,null,{"$f":"ROW()","v":186}]
[null,null,"Other periods",null,null,"Earlier period",null,{"$f":"AVERAGE(H183,H185)","v":-0.41},null,{"$f":"CONCATENATE(\"Komanoff (avg of Rows \",N183, \" and \",N185, \")\")","v":"Komanoff (avg of Rows 183 and 185)"},null,null,null,{"$f":"ROW()","v":187}]
[null,null,"Other periods",null,null,"Later period",null,{"$f":"AVERAGE(H184,H186)","v":-0.11},null,{"$f":"CONCATENATE(\"Komanoff (avg of Rows \",N184, \" and \",N186, \")\")","v":"Komanoff (avg of Rows 184 and 186)"},null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,"Note: Peaks are 6-9 a.m. and 4-7 p.m.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,"Baseline tolls on PA Crossings ",null,null,null,null,"E-ZPass","Cash",null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,"Peak toll",null,null,null,null,8,8,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,"Toll before or after peak period",null,null,null,null,6,8,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,"Ratio (peak to pre or post peak)",null,null,null,null,{"$f":"H193/H194","v":1.3333333333333333},{"$f":"I193/I194","v":1},null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,"Percentage of into-CBD trips paying w/ E-ZPass (or cash)",null,null,null,null,0.8,{"$f":"1-H196","v":0.19999999999999996},null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,"(CK placeholder estimate)",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,"Ratio (peak to pre or post peak), wghtd average for all PA trips",null,null,null,null,{"$f":"H196*H195+I196*I195","v":1.2666666666666666},null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,"Percentage of into-CBD trips that use PA crossings",null,null,null,null,{"$f":"(Approaches!H94+Approaches!H95+Approaches!J106)/Approaches!H97","v":0.1488213521566682},null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,{"$f":"CONCATENATE(\"Calculated from Holland, Lincoln, and allocated GWB crossing volumes in 'Approaches' worksheet, Rows \",Approaches!O94, \"-\",Approaches!O106, \".\")","v":"Calculated from Holland, Lincoln, and allocated GWB crossing volumes in 'Approaches' worksheet, Rows 94-106."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,"Toll Ratio (peak to pre or post peak), all into-CBD trips",null,null,null,null,{"$f":"H198*H199+1*(1-H199)","v":1.0396856939084449},null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,"Income ratio, car commuters into CBD to subway riders into CBD",null,null,null,null,1.5,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,"Income ratio is Komanoff assumption drawn from Schaller observations in \"City in Flux\" report (2007): \"Auto commuters have higher incomes than transit riders. Among Bronx, Brooklyn, Queens and Staten Island residents who work in Manhattan, auto commuters earn 32% more than subway commuters and 15% more than bus commuters. [2000 Census data] Auto commuters living in Manhattan earn 20% more than bus commuters and 18% more than subway commuters. Similar earnings gaps are seen among residents of outlying areas of the outer boroughs. Among commuters from outlying parts of the city that lack direct subway access, auto commuters earn 35% more than do subway commuters.\" I adjust these ratios (1.32, 1.20, 1.35) upward to reflect assumed far higher incomes of car commuters from NJ, LI and Westchester suburbs.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,"PEAK HOURS: Weekdays 6-9 a.m., 4-7 p.m., Sat. & Sun. 12 Noon- 8 p.m.",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"M a t e r I a l    b e l o w    t h I s    l I n e    I s    n o t    u s e d    I n    t h e    B T A ,   a t    p r e s e n t .",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"D. Normalizing factors to reflect different toll differentials for Puget Sound study vs. NYC cordon pricing",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,"1. Normalizing factor # 1 -- reflecting different toll differentials for Puget Sound study vs. NYC cordon pricing",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Mean per-mile savings from time switching, freeways",null,null,null,null,null,{"$f":"AVERAGE(0.4, 0.25, 0.35, 0.4, 0.1)","v":0.3},null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Mean of five toll differentials betw adjacent time periods, in PSRC, Traffic Choices Study, Figure 1, \"Traffic Choices Toll Roads Map.\" Our figure matches average per-mile toll savings (freeways) in PSRC study (min and max are for trip distance of 10-12 miles, shown in PSRC, Traffic Choices Study, Appendix 4, Tariff Model Development, Table 1 - AM Peak Period Trip Toll Cost and Travel Distance Distributions).",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Same as above, arterials",null,null,null,null,null,{"$f":"0.5*H221","v":0.15},null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,"Arterials were priced at one-half freeways (per mile) in PSRC experiment.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Estimated ratio of freeway to arterial miles in PSRC study (Komanoff est.)",null,null,null,null,null,3,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Mean per-mile savings from time switching",null,null,null,null,null,{"$f":"(H227*H221+1*H225)/(H227+1)","v":0.26249999999999996},null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Mean tolled miles in home-to-work trips in PSRC study",null,null,null,null,null,9,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"PSRC, Traffic Choices Study, Appendix 19, Toll Impact Models, Table 1 (Vehicle Mean Values, home-to-work trips; note that graph of probabilities for time-shifting, above, is for home-to-work trips).",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Mean per-trip savings from time switching",null,null,null,null,null,{"$f":"H228*H229","v":2.3624999999999998},null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,{"$f":"CONCATENATE(\"Product of values in Rows \",N228, \" and \",N229, \".\")","v":"Product of values in Rows 228 and 229."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Note that the comparable value for NYC cordon trips will be \"read\" from the applicable toll shown in the Motor V's worksheet.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"2. Normalizing factor #2: different overall driver price-elasticity between NYC and Puget Sound region",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Driver price-elasticity in Puget Sound region",null,null,null,null,null,-0.7,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"See source given in Row \",N230, \", p. 11 of 29. Note negative 0.691 value in last part of last table of page (under 'Model 4' for 'All Tours'), confirmed in communications with PSRC personnel.\")","v":"See source given in Row 230, p. 11 of 29. Note negative 0.691 value in last part of last table of page (under 'Model 4' for 'All Tours'), confirmed in communications with PSRC personnel."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Driver price-elasticity in NYC -- see array of values for different trip types in Elasticities worksheet.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,{"$f":"CONCATENATE(\"We will 'ratio' the applicable value from that worksheet to the value shown in Row \",N238, \".\")","v":"We will 'ratio' the applicable value from that worksheet to the value shown in Row 238."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"3. Normalizing factor #3: different value attached to traveling at optimal time between NYC and Puget Sound region",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"Assumed ratio of NYC-area value to Puget Sound region value:",null,null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Placeholder value by Komanoff, 9-Oct-2008. Will be firmed up by comparing average (not median) income of NYC-area drivers to CBD with same for Puget Sound region. Must also consider whether to attempt to include a pure \"value of time\" differential between the two regions.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"4. Attenuation factor to reflect presumed diminution in value of larger amounts of money saved by time-shifting",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Power factor applied to ratio of NYC toll savings to same for Puget Sound (KEA assumption):",null,null,null,null,null,null,null,0.5,null,null,null,{"$f":"ROW()","v":252}]

{"sheet":"Weekend Hours","index":39,"n_rows":91,"n_cols":22,"rows_kept":91,"cut":false,"hidden":false,"merged":[[1,6,1,7],[18,19,26,21],[28,19,30,21],[3,9,8,12],[14,15,14,21],[19,1,20,11],[27,19,27,21],[2,6,3,7],[27,1,30,6],[27,7,30,8],[33,9,44,9],[27,10,30,11],[58,5,60,6],[60,19,62,21],[57,15,58,17],[58,7,60,12]]}
[null,"Weekend Hours",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1},null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,"Weekend Toll Levels",null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,"(round-trip, i.e., 2x the toll charged in each direction)",null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,"Toll levels at left feed directly into tolls for each hour, shown in \"Toll\" column below. They affect the traffic changes calculated in Motor Vs Weekends worksheet. User may change by replacing toll levels shown with his/her own. Do so in Policy Levers worksheet, rather than here.",null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,1,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K37","v":1.0000000000000001E-5},null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,2,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K38","v":1.0000000000000001E-5},null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,3,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K39","v":12.24},null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,4,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K40","v":12.24},null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,5,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K41","v":1.0000000000000001E-5},null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Note: All data is for Weekends. Weekday data appear in separate worksheet, \"Weekday Hours.\"",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"This worksheet is in two parts.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"1. Establish hourly volumes and define rate periods on the basis of relative volumes.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15},null,"I N B O U N D   T R I P S   I N T O   C O R D O N"]
[null,"We use hourly volumes of all crossings into Manhattan (combined) as our data base.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Total Manhattan Crossings, 2006 Average Hourly Traffic Volumes, To and From Manhattan, (All Facilities)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19},null,null,null,null,null,"Factors in box to left adjust inbound work and thru-trip shares of auto trips from their 24-h averages. Value of 1.00 indicates no adjustment, i.e., that percent of work or thru trips in period matches 24-h avg for that trip type. Thus, factor of 2.00 for graveyard-shift thru-trips indicates that thru-trips in that shift had twice their overall (24-h) share of trips. Non-work trip factors aren't shown because they \"fall out of\" the work and thru-trip shares. Factors were selected by Komanoff, based on judgment."]
[null,"Source: 2015 Manhattan River Crossings, NYC DOT, Oct 2016, www.nyc.gov/html/dot/downloads/pdf/manhattan-river-crossings-2015.pdf, re-normalized using weekend/weekday ratios on Queens Midtown Tunnel and Triborough Bridge crossings into Manhattan.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21},null,null,"Work","Thru"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22},null,"Graveyard",1.3,1.3]
[null,null,null,null,null,null,null,null,null,"Work","Non-work","Thru",null,{"$f":"ROW()","v":23},null,"Early Shoulder",1.2,1.2]
[null,"Each hour's breakdown into work, non-work and thru trips, if those %'s were invariant w/r/t hour:",null,null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!I85/(SUM('Motor Vs Weekends'!$I$85:$K$85))","v":0.18950368083590596},{"$f":"'Motor Vs Weekends'!J85/(SUM('Motor Vs Weekends'!$I$85:$K$85))","v":0.56827356922346239},{"$f":"'Motor Vs Weekends'!K85/(SUM('Motor Vs Weekends'!$I$85:$K$85))","v":0.24222274994063167},null,{"$f":"ROW()","v":24},null,"Shoulders",1,0.9]
[null,"Calculated by apportioning 24-h total entries into charging zone for each trip type shown in Motor Vs Weekends, among the three respective components.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25},null,"Peak",0.6,0.8]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26},null,"Late Shoulder",0.8,0.9]
[null,"INBOUND",null,null,null,null,null,null,null,null,"OUTBOUND",null,null,{"$f":"ROW()","v":27}]
[null,{"$f":"CONCATENATE(\"Columns show inbound hourly volumes into Manhattan (from source in Row \",N20, \"). However, source had only weekDAY volumes, requiring us to derive weekend hourly volumes by prorating weekday hourly figures by weekend/weekday ratio crossings calc'd in 'Weekend' worksheet.\")","v":"Columns show inbound hourly volumes into Manhattan (from source in Row 20). However, source had only weekDAY volumes, requiring us to derive weekend hourly volumes by prorating weekday hourly figures by weekend/weekday ratio crossings calc'd in 'Weekend' worksheet."},null,null,null,null,null,{"$f":"CONCATENATE(\"Toll levels in column below are generated from levels specified in box in Rows \",N3, \"-\",N9, \". Do Not Change From Here.\")","v":"Toll levels in column below are generated from levels specified in box in Rows 3-9. Do Not Change From Here."},null,null,{"$f":"CONCATENATE(\"These cols. are also from Row \",N20,\" source, but with prorating noted in text box in Row \",N59, \".\")","v":"These cols. are also from Row 20 source, but with prorating noted in text box in Row 59."},null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29},null,"Work % auto","Non-wk % auto","Thru % auto",null,"These columns convert %'s at left to %'s of 24-h work, non-work and thru trips occurring in each hour shown."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31},{"$f":"SUM(P31:R31)","v":1},{"$f":"J24","v":0.18950368083590596},{"$f":"K24","v":0.56827356922346239},{"$f":"L24","v":0.24222274994063167}]
[null,"1-hr period, starting:","Hourly Volume","% of Daily Total","Rank","Hourly Vol., % of Mean Hour","Rate Class","Toll \"Bin\"","Toll",null,"Hourly Volume","% of Daily Total",null,{"$f":"ROW()","v":32},null,"Work-trip % of Daily Total","Non-work-trip % Daily Total","Thru-trip % Daily Total",null,"Work-trip % of Daily Work Tot.","Non-wk trip% of Non-wk Tot.","Thru trip% of Thru Tot."]
[null,"Midnight",{"$f":"'Weekday Hours'!C35*Weekends!V122","v":21252.181743833073},{"$f":"C33/$C$57","v":2.7572194951539186E-2},null,{"$f":"C33/$C$59","v":0.66173267883694054},"Graveyard",1,{"$f":"VLOOKUP(H33,$G$5:$H$9,2)","v":1.0000000000000001E-5},null,{"$f":"'Weekday Hours'!K35*Weekends!W122*$C$57/867443","v":31418.221922721626},{"$f":"K33/$K$57","v":4.3737737254466939E-2},null,{"$f":"ROW()","v":33},{"$f":"SUM(P33:R33)","v":2.7572194951539186E-2},{"$f":"$D33*P$31*IF($G33=\"Graveyard\",Q$22,IF($G33=\"Early Shoulder\",Q$23,IF($G33=\"Shoulder\",Q$24,IF($G33=\"Peak\",Q$25,IF($G33=\"Late Shoulder\",Q$26,100)))))","v":6.7925421616544177E-3},{"$f":"D33-P33-R33","v":1.2097456041905437E-2},{"$f":"$D33*R$31*IF($G33=\"Graveyard\",R$22,IF($G33=\"Early Shoulder\",R$23,IF($G33=\"Shoulder\",R$24,IF($G33=\"Peak\",R$25,IF($G33=\"Late Shoulder\",R$26,100)))))","v":8.6821967479793309E-3},null,{"$f":"P33/P$57","v":3.5833314432596498E-2},{"$f":"Q33/Q$57","v":2.1337413738055134E-2},{"$f":"R33/R$57","v":3.5658654336224456E-2}]
[null,"1 a.m.",{"$f":"'Weekday Hours'!C36*Weekends!V123","v":18036.168550570816},2.3399797792500215E-2,null,0.56159514702000513,"Graveyard",1,1.0000000000000001E-5,"Toll levels at left are generated from levels specified in box above. DO NOT CHANGE FROM HERE.",{"$f":"'Weekday Hours'!K36*Weekends!W123*$C$57/867443","v":25819.098180528519},3.5943120369601685E-2,null,{"$f":"ROW()","v":34},2.3399797792500215E-2,{"$f":"$D34*P$31*IF($G34=\"Graveyard\",Q$22,IF($G34=\"Early Shoulder\",Q$23,IF($G34=\"Shoulder\",Q$24,IF($G34=\"Peak\",Q$25,IF($G34=\"Late Shoulder\",Q$26,100)))))","v":5.7646521562431064E-3},1.0266793256096744E-2,{"$f":"$D34*R$31*IF($G34=\"Graveyard\",R$22,IF($G34=\"Early Shoulder\",R$23,IF($G34=\"Shoulder\",R$24,IF($G34=\"Peak\",R$25,IF($G34=\"Late Shoulder\",R$26,100)))))","v":7.3683523801603623E-3},null,3.041079295397299E-2,1.8108502705822264E-2,3.0262563516864061E-2]
[null,"2 a.m.",{"$f":"'Weekday Hours'!C37*Weekends!V124","v":15372.303411583282},1.9943747499777374E-2,null,0.47864993999465694,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K37*Weekends!W124*$C$57/867443","v":21087.496795930536},2.9356193246181217E-2,null,{"$f":"ROW()","v":35},1.9943747499777374E-2,4.9132376291306217E-3,8.7504316980737771E-3,6.2800781725729747E-3,null,2.5919248590106837E-2,1.5433954120736289E-2,2.5792912008400042E-2]
[null,"3 a.m.",{"$f":"'Weekday Hours'!C38*Weekends!V125","v":13959.609342581112},1.8110943849455035E-2,null,0.43466265238692087,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K38*Weekends!W125*$C$57/867443","v":20784.346843220927},2.8934174043028029E-2,null,{"$f":"ROW()","v":36},1.8110943849455038E-2,4.4617176797493831E-3,7.9462787594996743E-3,5.7029474102059784E-3,null,2.3537304402832592E-2,1.4015594434237616E-2,2.3422577983565132E-2]
[null,"4 a.m.",{"$f":"'Weekday Hours'!C39*Weekends!V126","v":13855.952864268591},1.7976461815446827E-2,null,0.43143508357072385,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K39*Weekends!W126*$C$57/867443","v":14947.93318022926},2.0809222607896104E-2,null,{"$f":"ROW()","v":37},1.7976461815446827E-2,4.4285873871632723E-3,7.8872740086011785E-3,5.6606004196823774E-3,null,2.3362529162101089E-2,1.3911522241036757E-2,2.3248654638921749E-2]
[null,"5 a.m.",{"$f":"'Weekday Hours'!C40*Weekends!V127","v":14481.621382653402},1.8788192797794208E-2,null,0.45091662714706099,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K40*Weekends!W127*$C$57/867443","v":12617.123113961914},1.7564469976152106E-2,null,{"$f":"ROW()","v":38},1.8788192797794208E-2,4.6285611988676591E-3,8.2434255552611205E-3,5.9162060436654283E-3,null,2.4417469168736664E-2,1.4539700006527895E-2,2.4298452617080659E-2]
[null,"6 a.m.",{"$f":"'Weekday Hours'!C41*Weekends!V128","v":19200.796724740427},2.4910765252280087E-2,null,0.59785836605472209,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K41*Weekends!W128*$C$57/867443","v":15019.963387938873},2.0909496847060137E-2,null,{"$f":"ROW()","v":39},2.4910765252280087E-2,6.1368862200701403E-3,1.0929738750917286E-2,7.8441402812926605E-3,null,3.2374473109973455E-2,1.9277801627824179E-2,3.2216672228784576E-2]
[null,"7 a.m.",{"$f":"'Weekday Hours'!C42*Weekends!V129","v":19927.216313370023},2.5853208844930243E-2,null,0.62047701227832586,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K42*Weekends!W129*$C$57/867443","v":18489.736316017927},2.5739815285648521E-2,null,{"$f":"ROW()","v":40},2.5853208844930239E-2,6.3690617087937863E-3,1.1343241192565452E-2,8.1409059435710047E-3,null,3.3599289547321831E-2,2.0007134526293071E-2,3.3435518619533221E-2]
[null,"8 a.m.",{"$f":"'Weekday Hours'!C43*Weekends!V130","v":22395.497923996933},2.9055512617024264E-2,null,0.69733230280858238,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K43*Weekends!W130*$C$57/867443","v":23727.636852185951},3.3031568395657213E-2,null,{"$f":"ROW()","v":41},2.9055512617024264E-2,7.1579645663502663E-3,1.2748270033534558E-2,9.1492780171394377E-3,null,3.7761060424679173E-2,2.2485315194179661E-2,3.7577004035887922E-2]
[null,"9 a.m.",{"$f":"'Weekday Hours'!C44*Weekends!V131","v":26092.375243161019},3.3851774167229287E-2,null,0.81244258001350289,"Graveyard",1,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K44*Weekends!W131*$C$57/867443","v":28077.014420145366},3.9086396506420082E-2,null,{"$f":"ROW()","v":42},3.3851774167229287E-2,8.3395465497705223E-3,1.4852656839556593E-2,1.065957077790217E-2,null,4.3994367150224256E-2,2.6197018860591507E-2,4.3779928142056612E-2]
[null,"10 a.m.",{"$f":"'Weekday Hours'!C45*Weekends!V132","v":33673.299089264852},4.3687127201427811E-2,null,1.0484910528342675,"Early Shoulder",2,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K45*Weekends!W132*$C$57/867443","v":31035.474813145909},4.3204909758540994E-2,null,{"$f":"ROW()","v":43},4.3687127201427811E-2,9.934645691780401E-3,2.1054062204364191E-2,1.269841930528322E-2,null,5.2409138490102598E-2,3.7135017028795868E-2,5.2153683885235516E-2]
[null,"11 a.m.",{"$f":"'Weekday Hours'!C46*Weekends!V133","v":37433.049486344607},4.8564959142023328E-2,null,1.1655590194085599,"Early Shoulder",2,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K46*Weekends!W133*$C$57/867443","v":34639.383754514492},4.8221960779261164E-2,null,{"$f":"ROW()","v":44},4.8564959142023328E-2,1.1043886220470563E-2,2.3404827376590394E-2,1.4116245544962372E-2,null,5.8260815770859155E-2,4.1281281243937457E-2,5.7976838699288137E-2]
[null,"12 noon",{"$f":"'Weekday Hours'!C47*Weekends!V134","v":42250.853513157381},5.481549066235248E-2,null,1.3155717758964596,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K47*Weekends!W134*$C$57/867443","v":34276.692904177544},4.7717053876647292E-2,null,{"$f":"ROW()","v":45},5.481549066235248E-2,1.0387737247342028E-2,3.2477950416188416E-2,1.1949802998822033E-2,null,5.4799373514163106E-2,5.7284396239484114E-2,4.9079041501811832E-2]
[null,"1 p.m.",{"$f":"'Weekday Hours'!C48*Weekends!V135","v":46039.208589276728},5.9730433794472355E-2,null,1.4335304110673366,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K48*Weekends!W135*$C$57/867443","v":34092.78898570982},4.7461038711760092E-2,null,{"$f":"ROW()","v":46},5.9730433794472355E-2,1.13191370619779E-2,3.5390033796534916E-2,1.302126293595954E-2,null,5.9712871528017221E-2,6.2420709833923144E-2,5.3479635112223999E-2]
[null,"2 p.m.",{"$f":"'Weekday Hours'!C49*Weekends!V136","v":46286.409619406462},6.0051147925243242E-2,null,1.4412275502058378,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K49*Weekends!W136*$C$57/867443","v":36756.323840134974},5.1168982080341104E-2,null,{"$f":"ROW()","v":47},6.0051147925243242E-2,1.1379913570255073E-2,3.5580055586198506E-2,1.3091178768789669E-2,null,6.0033491360678044E-2,6.2755869022041097E-2,5.3766786462036371E-2]
[null,"3 p.m.",{"$f":"'Weekday Hours'!C50*Weekends!V137","v":44226.852295501238},5.7379115626015262E-2,null,1.3770987750243662,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K50*Weekends!W137*$C$57/867443","v":41570.928793386469},5.787145960906076E-2,null,{"$f":"ROW()","v":48},5.7379115626015262E-2,1.087355361423894E-2,3.3996887553290923E-2,1.2508674458485398E-2,null,5.7362244706894674E-2,5.99634876140826E-2,5.1374382735947681E-2]
[null,"4 p.m.",{"$f":"'Weekday Hours'!C51*Weekends!V138","v":45278.922293067313},5.874405214995472E-2,null,1.4098572515989134,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K51*Weekends!W138*$C$57/867443","v":43215.363961866904},6.0160700340376211E-2,null,{"$f":"ROW()","v":49},5.874405214995472E-2,1.1132214109632835E-2,3.4805606771345768E-2,1.2806231268976117E-2,null,5.8726779904786343E-2,6.1389901274423925E-2,5.2596478451890478E-2]
[null,"5 p.m.",{"$f":"'Weekday Hours'!C52*Weekends!V139","v":47649.737869619014},6.1819905258061976E-2,null,1.4836777261934875,"Peak",4,12.24,null,{"$f":"'Weekday Hours'!K52*Weekends!W139*$C$57/867443","v":43018.229340508602},5.9886266532698101E-2,null,{"$f":"ROW()","v":50},6.1819905258061976E-2,7.029059757197832E-3,4.2811495538722474E-2,1.197934996214167E-2,null,3.70810371803173E-2,7.5510635450157196E-2,4.9200393848721651E-2]
[null,"6 p.m.",{"$f":"'Weekday Hours'!C53*Weekends!V140","v":46982.394411253124},6.0954105964818213E-2,null,1.4628985431556372,"Peak",4,12.24,null,{"$f":"'Weekday Hours'!K53*Weekends!W140*$C$57/867443","v":39666.834043333802},5.5220743216189881E-2,null,{"$f":"ROW()","v":51},6.0954105964818213E-2,6.9306164654369413E-3,4.2211912565804532E-2,1.1811576933576743E-2,null,3.6561710344576517E-2,7.4453094929313263E-2,4.8511333164404556E-2]
[null,"7 p.m.",{"$f":"'Weekday Hours'!C54*Weekends!V141","v":46166.822168346509},5.9895997336276555E-2,null,1.4375039360706374,"Peak",4,12.24,null,{"$f":"'Weekday Hours'!K54*Weekends!W141*$C$57/867443","v":38547.553683807826},5.3662577690481744E-2,null,{"$f":"ROW()","v":52},5.9895997336276555E-2,6.8103071775372148E-3,4.1479151610555612E-2,1.1606538548183727E-2,null,3.5927031833957949E-2,7.3160655955443174E-2,4.7669219915578591E-2]
[null,"8 p.m.",{"$f":"'Weekday Hours'!C55*Weekends!V142","v":43353.984437861778},5.6246672706607645E-2,null,1.3499201449585836,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K55*Weekends!W142*$C$57/867443","v":36459.219034088186},5.0755378408692327E-2,null,{"$f":"ROW()","v":53},5.6246672706607645E-2,1.0658951512674639E-2,3.3325919829728351E-2,1.2261801364204659E-2,null,5.6230134754502913E-2,5.8780039137564667E-2,5.0360450134625347E-2]
[null,"9 p.m.",{"$f":"'Weekday Hours'!C56*Weekends!V143","v":41632.29461127142},5.4012983567439332E-2,null,1.296311605618544,"Shoulder",3,12.24,null,{"$f":"'Weekday Hours'!K56*Weekends!W143*$C$57/867443","v":30048.860706900559},4.1831430741916503E-2,null,{"$f":"ROW()","v":54},5.4012983567439332E-2,1.0235659198959057E-2,3.2002468297497297E-2,1.1774856070982975E-2,null,5.3997102376743281E-2,5.6445743992564155E-2,4.8360516892420866E-2]
[null,"10 p.m.",{"$f":"'Weekday Hours'!C57*Weekends!V144","v":35823.642747327853},4.6476944043179771E-2,null,1.1154466570363146,"Late Shoulder",2,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K57*Weekends!W144*$C$57/867443","v":27972.481375706684},3.8940874622867466E-2,null,{"$f":"ROW()","v":55},4.6476944043179771E-2,7.0460415761496005E-3,2.929890659155189E-2,1.0131995875478278E-2,null,3.717062291179371E-2,5.1677219561783651E-2,4.1613125012839425E-2]
[null,"11 p.m.",{"$f":"'Weekday Hours'!C58*Weekends!V121","v":29411.899756141702},3.8158465034150546E-2,null,0.9158031608196131,"Late Shoulder",2,1.0000000000000001E-5,null,{"$f":"'Weekday Hours'!K58*Weekends!W121*$C$57/867443","v":35043.422820206135},4.8784429099054304E-2,null,{"$f":"ROW()","v":56},3.8158465034150546E-2,5.7849356632157945E-3,2.4054965870257905E-2,8.3185635006768465E-3,null,3.0517796380061562E-2,4.2427991261181269E-2,3.4165176055657283E-2]
[null,"24 hrs",{"$f":"SUM(C33:C56)","v":770783.09438859869},{"$f":"SUM(D33:D56)","v":1},null,null,null,null,{"$f":"SUMPRODUCT(C33:C56,I33:I56)/C57","v":7.1438790005937483},null,{"$f":"SUM(K33:K56)","v":718332.12907036883},{"$f":"SUM(L33:L56)","v":1.0000000000000002},null,{"$f":"ROW()","v":57},1,{"$f":"SUM(P33:P56)","v":0.18955941612466204},{"$f":"SUM(Q33:Q56)","v":0.56695981014464303},{"$f":"SUM(R33:R56)","v":0.24348077373069493},null,{"$f":"SUM(T33:T56)","v":0.99999999999999978},{"$f":"SUM(U33:U56)","v":0.99999999999999989},{"$f":"SUM(V33:V56)","v":1.0000000000000002}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58},null,"Sums of figures in columns match                    actual 24-h totals almost perfectly."]
[null,"avg hour",{"$f":"C57/24","v":32115.962266191611},null,null,"Wghtd avg toll (before trip resettlements to lower-toll periods)",null,"Sum of hourly volumes was 6.6% greater than inbound sum at left, due to preponderance of high weighting factors in high-volume hours. Solution was to normalize each entry by reciprocal of ratio of sums.",null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60},null,null,null,null,null,"Work","Non-Work","Thru"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61},null,null,null,null,null,"Each array element is respective share of inbound auto trip types (work, non-work, thru) occurring in the respective pricing bins."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},null,null,null,null,"Graveyard",{"$f":"SUMIF($G$33:$G$56,\"=Graveyard\",T$33:T$56)","v":0.31120984894254539},{"$f":"SUMIF($G$33:$G$56,\"=Graveyard\",U$33:U$56)","v":0.18531395745530435},{"$f":"SUMIF($G$33:$G$56,\"=Graveyard\",V$33:V$56)","v":0.30969293812731846}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65},null,null,null,null,"Early Shoulder",{"$f":"SUMIF($G$33:$G$56,\"=Early Shoulder\",T$33:T$56)","v":0.11066995426096175},{"$f":"SUMIF($G$33:$G$56,\"=Early Shoulder\",U$33:U$56)","v":7.8416298272733331E-2},{"$f":"SUMIF($G$33:$G$56,\"=Early Shoulder\",V$33:V$56)","v":0.11013052258452366}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},null,null,null,null,"Shoulder",{"$f":"SUMIF($G$33:$G$56,\"=Shoulder\",T$33:T$56)","v":0.40086199814578555},{"$f":"SUMIF($G$33:$G$56,\"=Shoulder\",U$33:U$56)","v":0.41904014711408372},{"$f":"SUMIF($G$33:$G$56,\"=Shoulder\",V$33:V$56)","v":0.35901729129095661}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},null,null,null,null,"Peak",{"$f":"SUMIF($G$33:$G$56,\"=Peak\",T$33:T$56)","v":0.10956977935885176},{"$f":"SUMIF($G$33:$G$56,\"=Peak\",U$33:U$56)","v":0.22312438633491366},{"$f":"SUMIF($G$33:$G$56,\"=Peak\",V$33:V$56)","v":0.14538094692870479}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68},null,null,null,null,"Late Shoulder",{"$f":"SUMIF($G$33:$G$56,\"=Late Shoulder\",T$33:T$56)","v":6.7688419291855276E-2},{"$f":"SUMIF($G$33:$G$56,\"=Late Shoulder\",U$33:U$56)","v":9.4105210822964913E-2},{"$f":"SUMIF($G$33:$G$56,\"=Late Shoulder\",V$33:V$56)","v":7.5778301068496701E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69},null,null,null,null,null,{"$f":"SUM(T64:T68)","v":0.99999999999999967},{"$f":"SUM(U64:U68)","v":1},{"$f":"SUM(V64:V68)","v":1.0000000000000002}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,"Periods:","Graveyard","Early Shoulder","Shoulder 1","Peak","Shoulder 2","Late Shoulder","(none)","Totals",null,null,{"$f":"ROW()","v":86}]
[null,null,"Inbound %'s",{"$f":"SUM(D33:D42)","v":0.23946259958797675},{"$f":"SUM(D43:D44)","v":9.225208634345114E-2},{"$f":"SUM(D45:D49)","v":0.29072024015803805},{"$f":"SUM(D50:D52)","v":0.18267000855915674},{"$f":"SUM(D53:D54)","v":0.11025965627404698},{"$f":"SUM(D55:D56)","v":8.4635409077330317E-2},0,{"$f":"SUM(D87:J87)","v":1},null,null,{"$f":"ROW()","v":87}]
[null,null,"Outbound %'s",{"$f":"SUM(L33:L42)","v":0.29511219453211207},{"$f":"SUM(L43:L44)","v":9.1426870537802157E-2},{"$f":"SUM(L45:L49)","v":0.26437923461818547},{"$f":"SUM(L50:L52)","v":0.16876958743936973},{"$f":"SUM(L53:L54)","v":9.2586809150608823E-2},{"$f":"SUM(L55:L56)","v":8.7725303721921777E-2},0,{"$f":"SUM(D88:J88)","v":1},null,null,{"$f":"ROW()","v":88}]
[null,null,"Work inbound",{"$f":"SUM(T33:T42)","v":0.31120984894254539},{"$f":"SUM(T43:T44)","v":0.11066995426096175},{"$f":"SUM(T45:T49)","v":0.29063476101453939},{"$f":"SUM(T50:T52)","v":0.10956977935885176},{"$f":"SUM(T53:T54)","v":0.11022723713124619},{"$f":"SUM(T55:T56)","v":6.7688419291855276E-2},0,{"$f":"SUM(D89:J89)","v":0.99999999999999978},null,null,{"$f":"ROW()","v":89}]
[null,null,"Non-work inbound",{"$f":"SUM(U33:U42)","v":0.18531395745530435},{"$f":"SUM(U43:U44)","v":7.8416298272733331E-2},{"$f":"SUM(U45:U49)","v":0.30381436398395489},{"$f":"SUM(U50:U52)","v":0.22312438633491366},{"$f":"SUM(U53:U54)","v":0.11522578313012882},{"$f":"SUM(U55:U56)","v":9.4105210822964913E-2},0,{"$f":"SUM(D90:J90)","v":1},null,null,{"$f":"ROW()","v":90}]
[null,null,"Thru-trip",{"$f":"SUM(V33:V42)","v":0.30969293812731846},{"$f":"SUM(V43:V44)","v":0.11013052258452366},{"$f":"SUM(V45:V49)","v":0.26029632426391036},{"$f":"SUM(V50:V52)","v":0.14538094692870479},{"$f":"SUM(V53:V54)","v":9.8720967027046219E-2},{"$f":"SUM(V55:V56)","v":7.5778301068496701E-2},0,{"$f":"SUM(D91:J91)","v":1.0000000000000004},null,null,{"$f":"ROW()","v":91}]

{"sheet":"Weekends","index":40,"n_rows":155,"n_cols":24,"rows_kept":155,"cut":false,"hidden":false,"merged":[[150,10,152,20],[38,17,38,22],[39,17,39,18],[39,19,39,20],[39,21,39,22],[111,10,113,15],[39,10,39,11],[111,1,113,8],[29,1,30,15],[74,1,76,8],[38,10,38,15],[39,12,39,13],[74,10,75,15],[3,1,6,15],[8,1,10,15],[14,10,14,11],[39,5,39,6],[31,1,35,15],[39,7,39,8],[39,14,39,15],[39,3,39,4],[38,3,38,8],[15,13,24,14]]}
[null,"Weekends",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"The purpose of this worksheet is primarily to estimate weekend traffic volumes into the CBD relative to weekday volumes, to assist in adapting the weekday traffic analysis in Motor Vs into the stand-alone weekend analysis shown in Motor Vs Weekends. This is done in Part 2, below, by comparing weekend to weekday volumes provided by MTA Bridges & Tunnels for the Triborough Bridge and Queens Midtown Tunnel. Part 1 recapitulates that data but is not otherwise used in the spreadsheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"The findings of this worksheet -- that weekend/holiday trips into the CBD are now approximately 85% as great as weekday volumes, and that weekend and holiday trips account for approximately 28% of CBD-bound trips on an annual basis -- led us to undertake the separate treatment of weekend cordon traffic that now appears in Motor Vs Weekends.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Part 1 -- Relative Impacts of Weekdays vs. Weekends (and Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,"Normalized",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"1. Weekdays in year",null,null,null,null,null,null,{"$f":"wkday_per_yr","v":250},null,{"$f":"I16/$I$18","v":0.68493150684931503},1,null,"1 and 2 are from Constants worksheet. 5 is derived in this worksheet, at end of Part 3. 7 (normalized) is product of normalized values for 2, 5 and 6. Remaining figures (percentages and ratios) are calculated from them.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"2. Weekends/Holidays in year",null,null,null,null,null,null,{"$f":"wkend_per_yr","v":115},null,{"$f":"I17/$I$18","v":0.31506849315068491},{"$f":"K17/K16*L16","v":0.46},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"3. Total",null,null,null,null,null,null,{"$f":"I16+I17","v":365},null,{"$f":"I18/$I$18","v":1},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"4. Weekday trips into the CBD, \"normalized\" per weekday",null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"5. Weekend trips into the CBD, \"normalized\" per weekday",null,null,null,null,null,null,null,null,null,{"$f":"V154","v":0.8505209452271516},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"6. Weekday trips into the CBD, share of annual total",null,null,null,null,null,null,null,null,{"$f":"L23/$L$25","v":0.71878343240309528},1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"7. Weekend trips into the CBD, share of annual total",null,null,null,null,null,null,null,null,{"$f":"L24/$L$25","v":0.28121656759690467},{"$f":"L23*L21*L17","v":0.39123963480448976},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"8. Total",null,null,null,null,null,null,null,null,{"$f":"L25/$L$25","v":1},{"$f":"L23+L24","v":1.3912396348044898},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Part 2 -- Relative Daily Volumes into the CBD, Weekdays vs. Weekends (and Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"This section derives a set of 24 hourly ratios of weekend to weekday travel that we use to estimate hourly inbound cordon trips on weekends, and, in turn to choose toll rates for weekends.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"It is presented in three sets of rows. The first set, directly below, displays and calculates ratios on Manhattan-bound trips using the Queens Midtown Tunnel in two sample months (March and Sept 2007). The second set does the same on trips crossing into Manhattan via the Triborough Bridge. The third set of rows sums the first two. The QMT and TB(M) were chosen because they are the main crossings into Manhattan for which accurate daily data were available (courtesy of the MTA, through the efforts of Brian T. Ketcham). The two months were chosen more or less at random; other months probably would yield similar results.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,{"$f":"CONCATENATE(\"The column (vector) of results appears in the \",V120, \"nd column, beginning in Row \",X120, \". These numbers are called upon in the By Hours worksheet.\")","v":"The column (vector) of results appears in the 22nd column, beginning in Row 120. These numbers are called upon in the By Hours worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
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[null,null,null,"March 07",null,null,null,null,null,null,"Sept 07",null,null,null,null,null,null,"March & Sept 07, averaged",null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,"Weekday",null,"Weekend",null," Wkend / Wkday",null,null,"Weekday",null,"Weekend",null," Wkend / Wkday",null,null,"Weekday",null,"Weekend",null," Wkend / Wkday",null,{"$f":"ROW()","v":40}]
[null,null,null,"Inbound","Outbound","Inbound","Outbound","Inbound","Outbound",null,"Inbound","Outbound","Inbound","Outbound","Inbound","Outbound",null,"Inbound","Outbound","Inbound","Outbound","Inbound","Outbound",{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"QMT (Queens Midtown Tunnel)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Hour Ending",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"00:00:00",null,1020.5,1552.090909090909,1332.5555555555557,1770.5555555555557,{"$f":"F47/D47","v":1.3057869236213187},{"$f":"G47/E47","v":1.1407550583442343},null,1197.7894736842106,1413.1578947368421,1490.2,1695.2,{"$f":"M47/K47","v":1.2441251428069249},{"$f":"N47/L47","v":1.1995828677839853},null,{"$f":"AVERAGE(D47,K47)","v":1109.1447368421054},{"$f":"AVERAGE(E47,L47)","v":1482.6244019138755},{"$f":"AVERAGE(F47,M47)","v":1411.3777777777777},{"$f":"AVERAGE(G47,N47)","v":1732.8777777777777},{"$f":"T47/R47","v":1.2724919759310884},{"$f":"U47/S47","v":1.1687908114427752},{"$f":"ROW()","v":47}]
[null,"01:00:00",null,674.9545454545455,1065.7727272727273,937.88888888888891,1366.6666666666667,{"$f":"F48/D48","v":1.389558593545394},1.2823246755093047,null,755.52631578947364,950.31578947368416,1016.1,1383.4,{"$f":"M48/K48","v":1.3448902821316615},1.455726628267612,null,{"$f":"AVERAGE(D48,K48)","v":715.24043062200963},1008.0442583732057,976.99444444444453,1375.0333333333333,{"$f":"T48/R48","v":1.3659664675202998},1.3640604784083381,{"$f":"ROW()","v":48}]
[null,"02:00:00",null,323.59090909090907,551.5,517.11111111111109,954.44444444444446,1.5980396747358401,1.7306336254659012,null,278.94736842105266,498.73684210526318,539.9,965.5,1.9354905660377355,1.9358906711692696,null,301.26913875598086,525.11842105263156,528.50555555555547,959.97222222222217,1.754263837769422,1.8281061637447416,{"$f":"ROW()","v":49}]
[null,"03:00:00",null,166.77272727272728,316.63636363636363,233.11111111111111,655.55555555555554,1.3977771721026013,2.0703735604683065,null,148.63157894736841,300.5263157894737,299.8,732.9,2.0170679886685554,2.4387215411558669,null,157.70215311004785,308.58133971291863,266.45555555555558,694.22777777777776,1.6896126673021221,2.2497399824099413,{"$f":"ROW()","v":50}]
[null,"04:00:00",null,154.63636363636363,228.90909090909091,194.77777777777777,652.11111111111109,1.2595858645241362,2.8487776895243138,null,165.52631578947367,228.31578947368422,200.7,624.70000000000005,1.2124960254372019,2.7361226371599816,null,160.08133971291863,228.61244019138758,197.73888888888888,638.40555555555557,1.2352400925898253,2.792523254732338,{"$f":"ROW()","v":51}]
[null,"05:00:00",null,308.90909090909093,447.36363636363637,243.55555555555554,737,0.7884376430580079,1.6474293842714895,null,330.36842105263156,424.5263157894737,228.5,680.1,0.69165206308746219,1.6020208281676172,null,319.63875598086122,435.94497607655501,236.02777777777777,708.55,0.738420399158074,1.6253197969543147,{"$f":"ROW()","v":52}]
[null,"06:00:00",null,982.68181818181813,781,419.55555555555554,649,0.42694954541015878,0.83098591549295775,null,1087.9473684210527,798.0526315789474,402.9,592.29999999999995,0.37033041459048904,0.74218162632724383,null,1035.3145933014355,789.52631578947376,411.22777777777776,620.65,0.39720079330326541,0.78610425971601883,{"$f":"ROW()","v":53}]
[null,"07:00:00",null,2458.090909090909,1218.3636363636363,997.11111111111109,687.88888888888891,0.40564452169910953,0.56460064003714217,null,2608.6842105263158,1305.7368421052631,976.7,690.8,0.37440330878644207,0.52904994155346852,null,2533.3875598086124,1262.0502392344497,986.90555555555557,689.34444444444443,0.3895596438588782,0.54620998674553212,{"$f":"ROW()","v":54}]
[null,"08:00:00",null,3644.3636363636365,1370.0454545454545,1400.8888888888889,794.44444444444446,0.38439876715669968,0.57986721667422381,null,3717.6315789473683,1341.3684210526317,1284.8,827.6,0.34559637573440927,0.61698187240053359,null,3680.9976076555022,1355.7069377990431,1342.8444444444444,811.02222222222224,0.36480448714546376,0.59822827457009031,{"$f":"ROW()","v":55}]
[null,"09:00:00",null,3981.681818181818,1337.7272727272727,1638.3333333333333,971.11111111111109,0.41146766822303654,0.72594102767395319,null,3904.8421052631579,1288.1052631578948,1558.7,1054.5,0.39917106965710591,0.81864427555773467,null,3943.2619617224882,1312.9162679425838,1598.5166666666667,1012.8055555555555,0.40537927284151459,0.77141671581439142,{"$f":"ROW()","v":56}]
[null,"10:00:00",null,3827.2727272727275,1314.6818181818182,1857.2222222222222,1159,0.48525996305093688,0.881582131867372,null,3605.5263157894738,1275.5263157894738,1736,1352,0.48148310342310779,1.0599546110996492,null,3716.3995215311006,1295.1040669856461,1796.6111111111111,1255.5,0.48342787170818879,0.96942016630538075,{"$f":"ROW()","v":57}]
[null,"11:00:00",null,2744.181818181818,1601.5,1806.1111111111111,1304.2222222222222,0.65816014782423049,0.81437541194019492,null,2839,1620.578947368421,1956.6,1599.7,0.68918633321592104,0.98711636517164114,null,2791.590909090909,1611.0394736842104,1881.3555555555554,1451.9611111111112,0.67393669660868227,0.90125731543417098,{"$f":"ROW()","v":58}]
[null,"12:00:00",null,2716.909090909091,1705.3636363636363,2171.2222222222222,1510.1111111111111,0.79915159086008314,0.88550680858373165,null,2612.6842105263158,1849.2631578947369,2083.1,1752.9,0.79730263290425252,0.94789105191256828,null,2664.7966507177034,1777.3133971291866,2127.161111111111,1631.5055555555555,0.79824519088096557,0.91796165954234754,{"$f":"ROW()","v":59}]
[null,"13:00:00",null,2351.0454545454545,2006.3636363636363,2346.6666666666665,1653.7777777777778,0.99813751458087629,0.8242662236318784,null,2394.2631578947367,2098.4736842105262,2305.6999999999998,1780.8,0.963010265766855,0.84861678914499261,null,2372.6543062200953,2052.4186602870814,2326.1833333333334,1717.2888888888888,0.98041393018572709,0.83671471231346317,{"$f":"ROW()","v":60}]
[null,"14:00:00",null,2104.1363636363635,2310.590909090909,2274.6666666666665,1753,1.0810452715790686,0.75868038478940847,null,2236,2436.2105263157896,2300.1,1869.5,1.0286672629695885,0.76738031455236777,null,2170.068181818182,2373.4007177033491,2287.3833333333332,1811.25,1.0540605832102747,0.76314546738347611,{"$f":"ROW()","v":61}]
[null,"15:00:00",null,2306.818181818182,2637.3636363636365,2219.2222222222222,1991.1111111111111,0.96202736726874649,0.75496267699225195,null,2344.6842105263158,2705.1052631578946,2202.4,2009.4,0.93931625850187439,0.74281767418331812,null,2325.7511961722489,2671.2344497607655,2210.8111111111111,2000.2555555555555,0.95057937183895347,0.74881317726892049,{"$f":"ROW()","v":62}]
[null,"16:00:00",null,2399,2780.909090909091,2238.1111111111113,2319.8888888888887,0.93293501922097177,0.83421960698848563,null,2473.5263157894738,2842,2183.9,2176.1,0.88290954741792027,0.76569317382125257,null,2436.2631578947367,2811.4545454545455,2211.0055555555555,2247.9944444444445,0.90753970825802155,0.79958413273261619,{"$f":"ROW()","v":63}]
[null,"17:00:00",null,2508.8636363636365,2773.4545454545455,2340.8888888888887,2373.5555555555557,0.93304747813308364,0.85581195460571369,null,2570.8947368421054,2873.2105263157896,2333.6,2230.6999999999998,0.90769955166130967,0.77637889029327167,null,2539.879186602871,2823.3325358851675,2337.2444444444445,2302.1277777777777,0.92021874771553458,0.81539377615538922,{"$f":"ROW()","v":64}]
[null,"18:00:00",null,2674.7727272727275,2802.909090909091,2520.1111111111113,2256.3333333333335,0.94217766070939668,0.80499697284206884,null,2652.1052631578946,2766.0526315789475,2535.3000000000002,2152.6999999999998,0.95595753125620175,0.77825706402816086,null,2663.438995215311,2784.4808612440193,2527.7055555555557,2204.5166666666664,0.94903827724096879,0.79171550336379659,{"$f":"ROW()","v":65}]
[null,"19:00:00",null,2522,2722.318181818182,2428.6666666666665,2020.2222222222222,0.96299233412635465,0.74209628974117792,null,2414.7894736842104,2662.3157894736842,2514.3000000000002,1941.5,1.0412087792332338,0.72925233275343981,null,2468.394736842105,2692.3169856459331,2471.4833333333336,1980.8611111111111,1.0012512571207228,0.73574587304245997,{"$f":"ROW()","v":66}]
[null,"20:00:00",null,2019.1363636363637,2257.5454545454545,2205.6666666666665,1743.6666666666667,1.0923812310994048,0.77237278352729577,null,2178.6842105263158,2315.1578947368421,2461.3000000000002,1691.2,1.1297185650440875,0.7304901336728199,null,2098.9102870813399,2286.3516746411483,2333.4833333333336,1717.4333333333334,1.1117594437912739,0.75116761449346636,{"$f":"ROW()","v":67}]
[null,"21:00:00",null,1628.9545454545455,2215.6363636363635,1912.5555555555557,1582.1111111111111,1.1741000145721523,0.71406623265313574,null,1811.3684210526317,2094.9473684210525,2245.6,1636.2,1.2397257089725708,0.78102200783840825,null,1720.1614832535886,2155.2918660287078,2079.0777777777776,1609.1555555555556,1.2086526747740678,0.74660679647093431,{"$f":"ROW()","v":68}]
[null,"22:00:00",null,1425.3636363636363,2195.1363636363635,1658.1111111111111,1411.3333333333333,1.1632898923542461,0.64293651944036057,null,1558.578947368421,2094.3157894736842,2121.8000000000002,1501.2,1.3613683179684599,0.71679734620024127,null,1491.9712918660287,2144.7260765550236,1889.9555555555557,1456.2666666666667,1.2667506176957084,0.67899890927134243,{"$f":"ROW()","v":69}]
[null,"23:00:00",null,1355.409090909091,2099.4545454545455,1592.1111111111111,1419.6666666666667,1.1746351133319173,0.6762073843133859,null,1520.7368421052631,1887.4736842105262,1958.5,1508.1,1.2878625320135668,0.79900451731637945,null,1438.0729665071772,1993.4641148325359,1775.3055555555557,1463.8833333333332,1.2345031141691345,0.7343414523698657,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Daily Avg.",null,{"$f":"SUM(D47:D70)","v":46300.045454545456},{"$f":"SUM(E47:E70)","v":40292.636363636353},{"$f":"SUM(F47:F70)","v":37486.222222222219},{"$f":"SUM(G47:G70)","v":33736.777777777774},0.80963683413710452,0.83729387854662285,null,{"$f":"SUM(K47:K70)","v":47408.73684210526},{"$f":"SUM(L47:L70)","v":40069.473684210527},{"$f":"SUM(M47:M70)","v":38936.5},{"$f":"SUM(N47:N70)","v":34449},{"$f":"M72/K72","v":0.82129376552845024},{"$f":"N72/L72","v":0.85973178164241049},null,{"$f":"SUM(R47:R70)","v":46854.391148325361},{"$f":"SUM(S47:S70)","v":40181.055023923451},{"$f":"SUM(T47:T70)","v":38211.361111111117},{"$f":"SUM(U47:U70)","v":34092.888888888891},{"$f":"T72/R72","v":0.81553425782754707},{"$f":"U72/S72","v":0.84848167547094722},{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Source: AvgWkndTraf_QMT_Mar07.xls, and AvgWkdyTraf_QMT_Mar07.xls, files provided by MTA to Brian Ketcham, Sept 1, 2008. Data above are from \"InBound\" and \"OutBound\" worksheet tabs, columns headed \"Direction Total.\" Ratios are by Komanoff.",null,null,null,null,null,null,null,null,"Same as March except files were AvgWkndTraf_QMT_Sep07.xls, and the anomalously named Peak_QMT_Sep07.xls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"TBM (Triborough Bridge, to Manhattan)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Hour Ending",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
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[null,"02:00:00",null,348.5,321.77272727272725,564.66666666666663,619.77777777777783,1.6202773792443805,1.9261352042818354,null,276.63157894736844,292.42105263157896,564.79999999999995,627.9,2.0417047184170469,2.1472462203023754,null,312.56578947368422,307.09688995215311,564.73333333333335,623.83888888888896,1.8067662948151266,2.0314073808630413,{"$f":"ROW()","v":86}]
[null,"03:00:00",null,151.09090909090909,194.31818181818181,287,390.55555555555554,1.8995186522262335,2.0098765432098764,null,146.63157894736841,176,329.5,423.1,2.2471284996410628,2.403977272727273,null,148.86124401913875,185.15909090909091,308.25,406.82777777777778,2.0707203008485471,2.1971796025803636,{"$f":"ROW()","v":87}]
[null,"04:00:00",null,149.59090909090909,198.90909090909091,268.55555555555554,407.55555555555554,1.7952665518754851,2.0489538899045296,null,134.21052631578948,186.47368421052633,264.39999999999998,385.5,1.9700392156862743,2.0673158340389497,null,141.9007177033493,192.69138755980862,266.47777777777776,396.52777777777777,1.8779170541960413,2.0578386133355404,{"$f":"ROW()","v":88}]
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[null,"Daily Avg.",null,{"$f":"SUM(D84:D107)","v":53100.454545454537},{"$f":"SUM(E84:E107)","v":43623.181818181816},{"$f":"SUM(F84:F107)","v":42526.666666666664},{"$f":"SUM(G84:G107)","v":38718.999999999993},{"$f":"F109/D109","v":0.80087198933981629},{"$f":"G109/E109","v":0.88757853935042863},null,{"$f":"SUM(K84:K107)","v":53978.263157894748},{"$f":"SUM(L84:L107)","v":44762.8947368421},{"$f":"SUM(M84:M107)","v":46935.3},{"$f":"SUM(N84:N107)","v":40728.19999999999},{"$f":"M109/K109","v":0.86952223458370659},{"$f":"N109/L109","v":0.90986519615047701},null,{"$f":"SUM(R84:R107)","v":53539.358851674646},{"$f":"SUM(S84:S107)","v":44193.038277511965},{"$f":"SUM(T84:T107)","v":44730.983333333337},{"$f":"SUM(U84:U107)","v":39723.599999999999},{"$f":"T109/R109","v":0.83547850203540874},{"$f":"U109/S109","v":0.89886555775038712},{"$f":"ROW()","v":109}]
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[null,"Source: AvgWkndTraf_TBM_Mar07.xls, and AvgWkdyTraf_TBM_Mar07.xls, files provided by MTA to Brian Ketcham, Sept 1, 2008. Data above are from \"InBound\" and \"OutBound\" worksheet tabs, columns headed \"Direction Total.\" Ratios are by Komanoff.",null,null,null,null,null,null,null,null,"Same as for March except files were AvgWkndTraf_QMT_Sep07.xls, and AvgWkdayTraf_TBM_Mar07.xls.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
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[null,"QMT + TBM (Summed, not averaged)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
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[null,"Hour Ending",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
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[null,"14:00:00",null,4653.5,4619.090909090909,4867.1111111111113,4053.8888888888887,1.0459033224693481,0.87763782282577796,null,4830.105263157895,4868.9473684210534,5171,4414.1000000000004,1.0705770823344811,0.90658199113609328,null,4741.8026315789475,4744.0191387559807,5019.0555555555557,4233.9944444444445,1.0584699418171033,0.89249101249509721,{"$f":"ROW()","v":135}]
[null,"15:00:00",null,5157,5273.409090909091,5026.1111111111113,4483.5555555555557,0.97461917997112879,0.85021955973126084,null,5063.2631578947367,5467.6315789473683,5157.5,4645.5,1.0186118791709113,0.84963661741348606,null,5110.1315789473683,5370.5203349282292,5091.8055555555557,4564.5277777777774,0.9964137863949899,0.84992281810972359,{"$f":"ROW()","v":136}]
[null,"16:00:00",null,5585.454545454546,5829.454545454546,5180.2222222222226,5060.333333333333,0.92744864004629624,0.86806291975963223,null,5709.6315789473683,5977.21052631579,5252.2000000000007,4871.6000000000004,0.91988422149092497,0.8150290137099685,null,5647.5430622009571,5903.332535885168,5216.2111111111117,4965.9666666666672,0.92362484954267055,0.8412141170228099,{"$f":"ROW()","v":137}]
[null,"17:00:00",null,5706.636363636364,5919.636363636364,5270.1111111111113,5068.8888888888887,0.92350568273337619,0.85628382851799512,null,5776.21052631579,6180.3684210526317,5519.2999999999993,4903,0.95552265189342833,0.79331840207107396,null,5741.423444976077,6050.0023923444978,5394.7055555555553,4985.9444444444443,0.9396111621545854,0.82412272278660881,{"$f":"ROW()","v":138}]
[null,"18:00:00",null,5974.681818181818,5806.590909090909,5652.3333333333339,4834.8888888888887,0.94604758970301461,0.83265533332463537,null,5826.4210526315783,5943.6315789473683,5850.1,4693,1.0040640638832181,0.78958460625702875,null,5900.5514354066981,5875.1112440191391,5751.2166666666672,4763.9444444444443,0.97469138768218566,0.8108688068322345,{"$f":"ROW()","v":139}]
[null,"19:00:00",null,5648.863636363636,5497.7727272727279,5365.8888888888887,4403.2222222222226,0.94990589865665309,0.80091019411901421,null,5545.1578947368416,5634.6842105263158,5735.6,4327.8999999999996,1.0343438561855769,0.76808208557897972,null,5597.0107655502388,5566.2284688995223,5550.7444444444445,4365.5611111111111,0.99173374448543772,0.78429427313360167,{"$f":"ROW()","v":140}]
[null,"20:00:00",null,4527.181818181818,4707.045454545454,4809.333333333333,3876.2222222222226,1.0623238753120878,0.82349368827086,null,4793.894736842105,4774.3157894736842,5444.3,3829.8,1.1356736638707128,0.80216729870358938,null,4660.5382775119615,4740.6806220095696,5126.8166666666666,3853.0111111111114,1.1000481835766895,0.81275483803374715,{"$f":"ROW()","v":141}]
[null,"21:00:00",null,3615.227272727273,4292.863636363636,4136.3333333333339,3501.333333333333,1.1441419919951386,0.8156171800274592,null,3923.9473684210529,4145.1578947368416,5016.3999999999996,3678.9,1.2784065455033196,0.88751745854389408,null,3769.5873205741627,4219.0107655502388,4576.3666666666668,3590.1166666666668,1.2140232543995346,0.8509380198745351,{"$f":"ROW()","v":142}]
[null,"22:00:00",null,{"$f":"D69+D106","v":3104.5},3935.772727272727,3666,3037.333333333333,1.1808664841359318,0.77172477777649451,null,{"$f":"K69+K106","v":3416.4210526315792},3883.8421052631579,4638.2000000000007,3390.4,1.3576195464629037,0.87295000880842355,null,3260.4605263157896,3909.8074162679422,4152.1000000000004,3213.8666666666668,1.2734704090074458,0.82200127128881018,{"$f":"ROW()","v":143}]
[null,"23:00:00",null,2907.909090909091,3552.4545454545455,3354.1111111111113,2861.8888888888887,1.1534442811836754,0.8056088690989015,null,3310.6315789473683,3389.1052631578946,4088.7,3077.2,1.2350211440017804,0.90796825741928466,null,3109.2703349282297,3470.77990430622,3721.4055555555556,2969.5444444444443,1.1968742356529303,0.85558419903264693,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Daily Avg.",null,{"$f":"SUM(D121:D144)","v":99400.500000000015},{"$f":"SUM(E121:E144)","v":83915.818181818177},{"$f":"SUM(F121:F144)","v":80012.888888888891},{"$f":"SUM(G121:G144)","v":72455.777777777766},{"$f":"F146/D146","v":0.80495459166592598},{"$f":"G146/E146","v":0.863434086059791},null,{"$f":"SUM(K121:K144)","v":101386.99999999999},{"$f":"SUM(L121:L144)","v":84832.368421052626},{"$f":"SUM(M121:M144)","v":85871.799999999988},{"$f":"SUM(N121:N144)","v":75177.2},{"$f":"M146/K146","v":0.84697051890281794},{"$f":"N146/L146","v":0.88618532523893878},null,{"$f":"SUM(R121:R144)","v":100393.75},{"$f":"SUM(S121:S144)","v":84374.093301435423},{"$f":"SUM(T121:T144)","v":82942.344444444461},{"$f":"SUM(U121:U144)","v":73816.488888888896},{"$f":"T146/R146","v":0.82617039850034946},{"$f":"U146/S146","v":0.87487149195395364},{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"calculated mean:",{"$f":"AVERAGE(V146:W146)","v":0.8505209452271516},null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"increment from 2007 baseline:",0,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,null,null,null,"This parameter allows the modeler to capture presumed increase since 2007 in weekend entries relative to weekday, reflecting (i) contraction in weekday trips, and (ii) CBD's continued attractiveness for entertainment, shopping, etc. For years, I set it at 0.02 (i.e., two percentage points). I zeroed it out in Fall 2017. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"adjusted ratio:",{"$f":"V148+V150","v":0.8505209452271516},null,{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sum of Rows \",X148, \" and \",X150, \".\")","v":"Sum of Rows 148 and 150."},null,null,{"$f":"ROW()","v":155}]

{"sheet":"Time Switching","index":41,"n_rows":153,"n_cols":11,"rows_kept":153,"cut":false,"hidden":false,"merged":[[75,1,75,10],[68,1,74,10],[53,1,55,10],[45,4,45,6],[46,4,46,6],[49,1,51,10],[52,1,52,10],[45,1,45,3],[46,1,46,3],[104,1,104,10],[105,1,113,10],[76,1,81,10],[122,1,122,10],[115,1,121,10],[88,1,88,10],[98,1,103,10],[89,1,96,10],[83,1,87,10],[152,1,158,10],[139,1,145,10],[123,1,127,10],[136,1,137,10],[129,1,132,10],[147,1,150,10],[3,1,8,10],[65,1,66,10],[24,1,30,10],[32,1,35,10],[39,1,40,10],[42,1,42,3],[42,4,42,6],[10,1,16,10],[18,1,22,10],[57,1,63,10],[43,4,43,6],[44,4,44,6],[43,1,43,3],[44,1,44,3]]}
[null,"Travel Time Switching",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[]
[null,"This worksheet is text-only and so is not computationally linked to the rest of the spreadsheet. Its purpose is to explain and source the modeling by which the BTA calculates the number of auto trips into the CBD, and the number of subway trips, that are expected to switch to different hours of the day in response to differential pricing (time-of-day-varied cordon tolls and subway fares). It is intended to help travel modelers and other interested users follow the logic flow and algorithms for time-switching that are invoked in the Motor Vs and Subways worksheets."]
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[null,"To our knowledge, only two studies have measured the propensity of U.S. drivers to change the time at which they travel in response to road tolls that vary according to the time at which the trip is taken. We have drawn on both studies to develop algorithms by which the BTA may estimate the percentages of cordon-crossing auto trips that would be rescheduled to adjacent time periods in response to differential tolling is adopted in New York City. We have also applied our methodology to estimate the extent to which subway trips would be similarly rescheduled in the event that NYC Transit institutes fare premiums and/or discounts for the city’s subways."]
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[null,"One study, commissioned by the Port Authority, analyzed drivers’ responses to the differential tolling regime that the P.A. instituted on its six Hudson River vehicular crossings in 2001. “Congestion Pricing as a Traffic Management Tool: Evaluating The Impacts At New York City’s Interstate Crossings,” was written by Carolyn Wolff and Pierre Vilain of Louis Berger Associates and was submitted for presentation at the TRB 2007 annual meeting of the Transportation Research Board. "]
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[null,"The other study was undertaken by the Puget Sound Regional Council in 2005-07 and published by the Council in 2008. In this “Traffic Choices Study,” 270 demographically representative households in the Seattle metropolitan area were charged time-varied tolls for all trips taken on area highways over a six-month period. (The households were first given equal cash awards intended to defray the toll costs.) The households’ travel choices — essentially, the number, length and timing of their trips — were then compared against baseline values, and the results distilled into estimates of price elasticities and time-switching propensities."]
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[null,"Because the Wolff-Vilain paper concerns New York City and environs, we made it our primary source for price-elasticity. We also employ its findings in a parallel algorithm that estimates time-switching by subway riders in response to possible differential transit fares. In several instances we supplemented these results with relationships derived in the Puget Sound study."]
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[null,"Drivers"]
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[null,"Wolff and Vilain compared “before” (uniform tolls) trip volumes and “after” (with time-varied tolls) volumes, and derived these results:"]
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[]
[null,"From period","To period","Elasticity","To period","To period","Elasticity","Elasticity"]
[null,"Morning Peak (6-9 a.m.)",null,null,"Morning Before Peak",null,null,-0.6]
[null,"Morning Peak (6-9 a.m.)",null,null,"Morning After Peak",null,null,-0.13]
[null,"Evening Peak (4-7 p.m.)",null,null,"Evening Before Peak",null,null,-0.22]
[null,"Evening Peak (4-7 p.m.)",null,null,"Evening After Peak",null,null,-0.09]
[null,"See text for meaning of elasticity figures in table."]
[]
[null,"The table indicates that drivers are considerably more likely to time-switch earlier than later, particularly in the morning. This finding is consistent with anecdotal evidence as well as basic observations about time sensitivity and worker obligations, and we employ it in both our driver and subway analyses."]
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[null,"The elasticities in the table are not conventional elasticities that operate on price changes to yield demand changes. Rather, each elasticity operates on the ratio of the toll in the period being switched “from,” to the toll in the period switched “into,” as shown in this example."]
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[null,"Consider a road system and region with non-variable tolls, with 3 times as many trips in the morning peak as in the pre-peak period. Now posit a time-differentiated toll regime that increases the ratio of tolls between the respective periods by 50%. The new ratio of peak trips to pre-peak trips would be the product of 3 (the prior ratio) times 1.5 (the factor denoting the increase in the toll ratio) raised to the -0.60 power (the applicable elasticity, as shown in the table). Since the product of (i) 3 and (ii) 1.5 raised to the -0.6 power, is 2.35, enough trips in the peak would resettle to the pre-peak to reduce the ratio of the number of trips between the two periods from 3 previously, to 2.35."]
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[null,"Following are the assumptions and methods we used to operationalize the elasticities in the table for our time-varying cordon tolls."]
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[null,"Current Tolls — As of 2008, the only portals into the cordon with time-varied tolls are the Port Authority crossings, which charge $6 off-peak (with E-ZPass) and $8 peak (6-9 a.m. and 4-7 p.m. on weekdays). By weighting the percentages of vehicles using those crossings with and w/o E-ZPass, as well as trips into the CBD via P.A. crossings vis-à-vis trips on other CBD portals, we estimate that the current (baseline) ratio of peak to off-peak tolls for all trips into the CBD is approximately 1.08 (see By Hour worksheet for details). That is, the average toll on all peak-period vehicle trips into the CBD is 8% greater than the average toll on such trips occurring before or after the peak."]
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[null,"Future Tolls — The ratio of tolls with new tolling between peak periods and adjacent off-peak may be calculated from the toll levels shown in the By Hour worksheet. For example, with tolls of $10 during 5-6 a.m. and $25 during 6-9 a.m., the ratio of new tolls between the two periods is 2.5. If the new tolls are additive to existing tolls (i.e., if they increment rather than replace them), then the ratio of the new toll to the old would be the product of (i) the ratio of new tolls just noted (2.5 in this case) times (ii) the ratio of the prior tolls."]
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[null,"Ratio of Toll Ratios — Continuing with this example, which concerns drivers’ propensity to time-switch from the 6-9 a.m. peak to the 5-6 a.m. pre-peak: if the new tolls increment the prior tolls, then the ratio of the new toll ratio to the old toll ratio (yes, we're calculating a ratio of ratios) is the quotient of (i) 2.5 x 1.08, and (ii) 1.08, which of course if 2.5. However, if the new tolls replace the prior tolls, the ratio is the quotient of 2.5 and 1.08, or 2.31."]
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[null,"Propensity to Time-Switch Earlier — From the Wolff-Vilain paper discussed earlier (shown in the table above), the elasticity to time-switch from the morning peak to the immediately earlier pre-peak period is -0.60. Our procedure then takes 2.31 (the ratio just shown) and raises it to the -0.6 power, yielding 0.6 (actually, 0.604 — the two 0.6’s are coincidental). This result is then multiplied by the ratio of peak trips to pre-peak trips, which, in this example, is 6.15 (from the fact that 6.15 times as many cars currently enter the cordon during the three-hour 6-9 a.m. period as during the one-hour 5-6 a.m. period). The product, 3.71, indicates that enough trips must “redistribute” from 6-9 a.m. to 5-6 a.m. to result in a 3.71 ratio of trip frequencies, down from 6.15 before the cordon tolls."]
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[null,"Propensity to Time-Switch, Adjusted for Duration of Period — Both peak toll periods in the Port Authority analysis last three hours — 6-9 a.m. for morning, 4-7 a.m. for evening. But only two of the seven toll periods as modeled by the BTA are exactly three hours long (6-9 a.m. peak, and 8-11 p.m. “post peak”). It stands to reason that the probability of a trip’s shifting out of a period is inversely related to the period’s length, since trips are less likely to shift over a longer time interval. We therefore need to adjust the P.A. elasticities for periods whose duration differs from three hours."]
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[null,"An excellent adjustment “metric” is available from the Puget Sound Regional Council study. From analyzing travel changes by the toll-paying households in their pricing experiment, the PSRC researchers derived an equation relating the probability of shifting a trip to a lower-toll period to the time interval over which the trip would have to be shifted. For example, the probability that a trip would be shifted for up to three hours turned out to be a little more than half as great as the probability of shifting a trip for up to an hour. The PSRC modelers generously shared the coefficients of their empirically derived equation with us (see By Hour worksheet), and we apply it in the Motor V’s worksheet to adjust the Port Authority’s elasticity results upward (when the period being shifted out of is under three hours) or downward (when the period is longer)."]
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[null,"Elasticities — The Port Authority elasticities in the table cover time-shifting from only the morning and evening peaks. For other periods, e.g., time-shifting from (rather than to) the 5-6 a.m. pre-peak to the 11 p.m. – 5 a.m. graveyard shift, we specified the elasticities to be the mean of the corresponding peak elasticities. That is, for “pre-shiftng” (time-shifting earlier), we took the mean of (i) the -0.60 elasticity for pre-shifting out of the morning peak and (ii) the -0.22 elasticity for pre-shifting from the evening peak, or -0.41. Similarly, post-shifting from non-peak periods is assigned an elasticity of -0.11, since that is the mean of the -0.13 and -0.09 post-shifting elasticities."]
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[null,"Once the new ratio of trips between the respective periods is calculated, the number of trips that are shifted is calculated easily using algebra. As is clear from the Motor V’s worksheet, the numbers are not huge, notwithstanding the impressive savings available from switching to lower-toll periods. This comports with the intuitive sense that through some combination of preference and necessity, people are strongly attached to their time of travel."]
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[null,"Under the Kheel-Komanoff Plan, the largest predicted switch is 4,669 cordon trips from the 5-6 a.m. pre-peak to the preceding 11 p.m. - 5 a.m. “graveyard” period. This shift constitutes 15% of the 30,533 auto trips now entering the cordon during the morning pre-peak. Of course, it is offset by the 4,757 trips predicted to switch into the one-hour pre-peak from the 6-9 a.m. peak period."]
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[null,"Subway Passengers"]
[]
[null,"Time-switching of subway trips into the CBD is handled similarly to that for auto trips, with two adjustments to account for differences between the price-sensitivities of the respective populations:"]
[]
[]
[null,"Overall price-sensitivity — Auto use is considerably more price-sensitive than subway use. We employ total price-elasticities (parameters that relate percent changes in demand to to changes in total trip price) of (negative) 0.5 and 0.9 for auto trips (work and non-work trips, respectively) but only 0.09 and 0.234 for transit trips. (See the Elasticities worksheet in the BTA.) That is, on average, demand for subway use is only 20-25% as price-sensitive as demand for auto travel. We reflect this difference by dampening, for the subways, the observed elasticity for time-switching auto trips on the Port Authority crossings four-to-five-fold."]
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[null,"Income — Conversely, subway passengers have lower incomes than car users who drive into the CBD, on average. We estimate the income ratio to be approximately 1.5 to 1. We reflect this for subway riders by increasing the propensity to switch travel times observed for drivers in the study of Port Authority crossings, by 50%."]
[]
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[]
[]
[null,"With these adjustments, the $0.50 price premiums in the Kheel-Komanoff Plan for using the subway system during peak hours (8-9 a.m. and 5-6 p.m.) vis-a-vis prior or subsequent hours are predicted to engender a roughly 2% shift of trips to the next earlier hour and a 0.5% shift to the next later hour. These differences are modest in percentage terms but significant in absolute terms. Compared to the 8-9 a.m. baseline figure of 470,000, the 7,500 subway trips into the CBD that are projected to shift to the preceding 7-8 a.m. period amount to roughly 50 “B” cars or 70 “A” cars -- a considerable amount of freed capacity."]

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[null,"Delays",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,{"$f":"CONCATENATE(\"This worksheet estimates the aggregate delays borne by all 'current' motor vehicle users as a result of a single additional vehicle trip into the CBD on a weekday. See result in Row \",O124, \" (expressed as minutes), in Row \",O127, \" (expressed as hours and minutes), and in Row \",O129, \" (expressed as dollar costs). See  'Delays Weekends' worksheet for analogous calculations for weekends. It also calculates the aggregate delays for each *mile driven* and *minute spent* in or near the Manhattan CBD.\")","v":"This worksheet estimates the aggregate delays borne by all 'current' motor vehicle users as a result of a single additional vehicle trip into the CBD on a weekday. See result in Row 124 (expressed as minutes), in Row 127 (expressed as hours and minutes), and in Row 129 (expressed as dollar costs). See  'Delays Weekends' worksheet for analogous calculations for weekends. It also calculates the aggregate delays for each *mile driven* and *minute spent* in or near the Manhattan CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4},null,"Note: The analysis in this worksheet formed the analytical backbone of \"Time Thieves,\" an article by Charles Komanoff and Will Fisher in the Winter 2010 edition of New York Transportation Journal, published by the NYU-Wagner Rudin Center for Transportation Policy & Management. The article is available via this link: https://wagner.nyu.edu/files/faculty/publications/Time_Thieves_Feb_2012_reprint.pdf"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,{"$f":"CONCATENATE(\"The worksheet operates by duplicating the initial stage of the 'Motor Vs' worksheet, which calculates average vehicle speeds for the different weekday periods; but with one difference: it increments the number \" & \"of vehicle trips into the CBD (or 'cordon') by a small number (here, we use \",J15, \"). The speeds for this (slightly) greater number of entries will be less than the baseline speeds calculated in 'Motor Vs'. Comparing the two sets of speeds \" & \"(actually, the number of *hours* needed to travel at the calculated speeds) reveals the additional hours in traffic caused by the additional entries.\")","v":"The worksheet operates by duplicating the initial stage of the 'Motor Vs' worksheet, which calculates average vehicle speeds for the different weekday periods; but with one difference: it increments the number of vehicle trips into the CBD (or 'cordon') by a small number (here, we use 100). The speeds for this (slightly) greater number of entries will be less than the baseline speeds calculated in 'Motor Vs'. Comparing the two sets of speeds (actually, the number of *hours* needed to travel at the calculated speeds) reveals the additional hours in traffic caused by the additional entries."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"In performing these calculations, we have taken care to calculate total traffic delays for 'baseline vehicles' only, to avoid 'charging' the posited additional trips for the delays they themselves experience.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,{"$f":"CONCATENATE(\"Auto trips added in Row \",O36, \" to estimate delay impact per trip:\")","v":"Auto trips added in Row 36 to estimate delay impact per trip:"},null,null,null,null,null,null,null,100,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Note: this figure could be virtually any number, since delay costs here are ultimately calculated per trip, and the ratio is nearly constant over a fairly wide range.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"1. Delay Costs within cordon, caused by an individual trip into the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18},null,null,null,"Delay Costs Borne by Other Drivers due to an"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,"Graveyard\n11 pm-5 am","A.M. Pre-pk\n5-6 am","A.M. Peak\n6-9 am","A.M. Post-pk\n9-10 am","Midday Pk\n10 am-2 pm","P.M. Peak\n2-8 pm","P.M. Post-pk\n8-11 pm",{"$f":"'Motor Vs'!N132","v":"Totals"},{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,6,1,3,1,4,6,3,{"$f":"SUM(G22:M22)","v":24},{"$f":"ROW()","v":22}]
[null,"Total VMT in cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs'!G164","v":436034.50899869355},{"$f":"'Motor Vs'!H164","v":84940.230064423406},{"$f":"'Motor Vs'!I164","v":482259.08996365516},{"$f":"'Motor Vs'!J164","v":160844.10566358111},{"$f":"'Motor Vs'!K164","v":583580.78851676581},{"$f":"'Motor Vs'!L164","v":1037006.0544129387},{"$f":"'Motor Vs'!M164","v":452079.9406948273},{"$f":"SUM(G23:M23)","v":3236744.7183148847},{"$f":"ROW()","v":23}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O164, \".\")","v":"Copied from 'Motor Vs' tab, Row 164."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Hourly VMT in cordon, during period (baseline)",null,null,null,null,{"$f":"G23/G22","v":72672.41816644893},{"$f":"H23/H22","v":84940.230064423406},160753.02998788506,160844.10566358111,145895.19712919145,172834.34240215644,150693.31356494242,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"Row \",O23, \" divided by number of hours in period, shown in Row \",O22, \".\")","v":"Row 23 divided by number of hours in period, shown in Row 22."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Travel speed in cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,{"$f":"ROW()","v":27}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O201, \".\")","v":"Copied from 'Motor Vs' tab, Row 201."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Number of minutes required to travel one mile (baseline)",null,null,null,null,{"$f":"60/G27","v":2.9597645299115229},{"$f":"60/H27","v":3.1611660138480882},8.2935632389556169,8.3061884357338389,6.5038048169649842,10.165156112894559,7.0256559168314192,null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Calculated as 60 divided by mph in Row \",O27, \".\")","v":"Calculated as 60 divided by mph in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Number of minutes required to cover in-bound cordon part of trip (baseline)",null,null,null,null,{"$f":"G29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":3.6997056623894036},{"$f":"H29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":3.9514575173101103},{"$f":"I29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":10.36695404869452},{"$f":"J29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":10.382735544667298},{"$f":"K29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":8.1297560212062301},{"$f":"L29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":12.706445141118198},{"$f":"M29*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":8.7820698960392747},null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O29, \", and, from 'Motor Vs' tab, mean of Cells I\",'Motor Vs'!O$99,\" and J\",'Motor Vs'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Product of Row 29, and, from 'Motor Vs' tab, mean of Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Hours that those vehicles are driven in cordon, per hr during period (baseline)",null,null,null,null,{"$f":"G$25/G27","v":3584.8874265325558},{"$f":"H$25/H27","v":4475.1694748015479},22220.257000970891,22266.690840313149,15814.564764348188,29281.467869789867,17645.322834574501,null,{"$f":"ROW()","v":33}]
[null,{"$f":"CONCATENATE(\"Row \",O$25, \", vehicle miles in hour, divided by Row \",O27, \", speed in hour.\")","v":"Row 25, vehicle miles in hour, divided by Row 27, speed in hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Additional hourly VMT in period in cordon from posited increment in auto trips into cordon (counts inbound miles only, intentionally omitting outbound, which could occur at any time)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":125},null,{"$f":"ROW()","v":36}]
[null,{"$f":"CONCATENATE(\"Product of Cell J\",O$15, \", the hypothesized number of new trips in hour, and, from 'Motor Vs' tab, mean of Cells I\",'Motor Vs'!O$99,\" and J\",'Motor Vs'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Product of Cell J15, the hypothesized number of new trips in hour, and, from 'Motor Vs' tab, mean of Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"\"Final\" hourly VMT in cordon, w/ posited increment in incoming trips",null,null,null,null,{"$f":"G25+G36","v":72797.41816644893},85065.230064423406,160878.02998788506,160969.10566358111,146020.19712919145,172959.34240215644,150818.31356494242,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O23, \" and \",O36, \".\")","v":"Sum of Rows 23 and 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Travel speed in cordon (with posited increment in inbound trips)",null,null,null,null,{"$f":"KSC/(1+0.1*(G39/V_sub_k)^KSE)","v":20.260904740101683},18.964981297906974,7.2194376563343736,7.2084616260712515,9.2070234962313453,5.8900349070069353,8.5228051210979654,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., Cordon' tab to hourly VMT calculated and shown in Row \",O39, \".\")","v":"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., Cordon' tab to hourly VMT calculated and shown in Row 39."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Hrs that baseline veh's are driving per hr in cordon (w/ incremented inbound VMT)",null,null,null,null,{"$f":"G$25/G41","v":3586.8298626670417},4478.7932416151471,22266.696886957598,22313.236028315267,15846.076333888997,29343.517505566615,17681.187287962897,{"$f":"SUM(G43:M43)","v":115516.33714697356},{"$f":"ROW()","v":43}]
[null,{"$f":"CONCATENATE(\"Row \",O$25, \", baseline vehicle miles in hour, divided by Row \",O41, \", speed in hour with incremented number of inbound vehicles.\")","v":"Row 25, baseline vehicle miles in hour, divided by Row 41, speed in hour with incremented number of inbound vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Change in hrs that baseline vehicles are driving in cordon, per hr in period",null,null,null,null,{"$f":"G43-G33","v":1.942436134485888},3.6237668135991044,46.43988598670694,46.545188002117357,31.511569540809433,62.049635776747891,35.864453388396214,{"$f":"SUM(G45:M45)","v":227.97693564286283},{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"New hours in Row \",O43, \" less baseline hours in Row \",O33, \".\")","v":"New hours in Row 43 less baseline hours in Row 33."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Change in minutes that baseline veh's are driving in cordon (inbound only)",null,null,null,null,{"$f":"G45*60","v":116.54616806915328},217.42600881594626,2786.3931592024164,2792.7112801270414,1890.694172448566,3722.9781466048735,2151.8672033037728,null,{"$f":"ROW()","v":47}]
[null,{"$f":"CONCATENATE(\"Row \",O45, \" multiplied by number of minutes in an hour.\")","v":"Row 45 multiplied by number of minutes in an hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Change in those minutes, calibrated to passenger cars only (adjusting out trucks and buses)",null,null,null,null,{"$f":"G47*$E$161","v":96.171245724710246},179.41499465151227,2299.2682268223984,2304.4817964319973,1560.1578057970873,3072.1168451666013,1775.6718475126409,null,{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"Row \",O47, \" minutes divided by factor from Cell E\",O$161, \" adjusting all-vehicle delay minutes to autos-only delay minutes.\")","v":"Row 47 minutes divided by factor from Cell E161 adjusting all-vehicle delay minutes to autos-only delay minutes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"CONCATENATE(\"Same quantity as Row \",O49, \" except that change is per incremented trip\")","v":"Same quantity as Row 49 except that change is per incremented trip"},null,null,null,null,{"$f":"G49/$J$15","v":0.96171245724710241},1.7941499465151227,22.992682268223984,23.044817964319972,15.601578057970874,30.721168451666014,17.756718475126409,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G51:M51)","v":20.529383618933881},{"$f":"ROW()","v":51}]
[null,{"$f":"CONCATENATE(\"Row \",O47, \" divided by number of auto trips added, from Cell J\",O$15, \".\")","v":"Row 47 divided by number of auto trips added, from Cell J15."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Same as above (change in minutes, inbound only), per incremented mile",null,null,null,null,{"$f":"G$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":0.76936996579768191},{"$f":"H$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":1.4353199572120983},{"$f":"I$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":18.394145814579186},{"$f":"J$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":18.435854371455978},{"$f":"K$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":12.4812624463767},{"$f":"L$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":24.576934761332812},{"$f":"M$51/AVERAGE('Motor Vs'!$I$99,'Motor Vs'!$J$99)","v":14.205374780101128},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G53:M53)","v":16.423506895147103},{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O$51, \" divided by mean of 'Motor Vs' tab Cells I\",'Motor Vs'!O$99,\" and J\",'Motor Vs'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Minutes per trip from Row 51 divided by mean of 'Motor Vs' tab Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Same as above (change in minutes, inbound only), per incremented minute",null,null,null,null,{"$f":"G$51/G31","v":0.25994296438868431},0.45404763651273183,2.2178821436099048,2.2195324021477245,1.919070881988908,2.4177626480479555,2.0219286210799474,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G55:M55)","v":1.9506151273540075},{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O51, \" divided by minutes to travel one mile, from Row \",O31, \".\")","v":"Minutes per trip from Row 51 divided by minutes to travel one mile, from Row 31."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Cost of in-cordon delays caused by one vehicle entering in period (inbound only)",null,null,null,null,{"$f":"G51*'Value of Time'!$M$90/60","v":0.82646964993853655},{"$f":"H51*'Value of Time'!$M$90/60","v":1.5418438921734838},{"$f":"I51*'Value of Time'!$M$90/60","v":19.759288675289046},{"$f":"J51*'Value of Time'!$M$90/60","v":19.804092681077943},{"$f":"K51*'Value of Time'!$M$90/60","v":13.407573811583577},{"$f":"L51*'Value of Time'!$M$90/60","v":26.400940473029028},{"$f":"M51*'Value of Time'!$M$90/60","v":15.259643141363794},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G57:M57)","v":17.642396503380979},{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental trip from Row \",O51, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental trip from Row 51 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Delay cost attributable to one in-cordon *mile* driven by typical veh in period",null,null,null,null,{"$f":"G53*'Value of Time'!$M$90/60","v":0.66117571995082924},{"$f":"H53*'Value of Time'!$M$90/60","v":1.2334751137387872},{"$f":"I53*'Value of Time'!$M$90/60","v":15.807430940231237},{"$f":"J53*'Value of Time'!$M$90/60","v":15.843274144862356},{"$f":"K53*'Value of Time'!$M$90/60","v":10.726059049266864},{"$f":"L53*'Value of Time'!$M$90/60","v":21.120752378423223},{"$f":"M53*'Value of Time'!$M$90/60","v":12.207714513091037},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G60:M60)","v":14.113917202704785},{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental mile from Row \",O53, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental mile from Row 53 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Delay cost attributable to one in-cordon *minute* driven by typical veh in period",null,null,null,null,{"$f":"G55*'Value of Time'!$M$90/60","v":0.22338794632780937},{"$f":"H55*'Value of Time'!$M$90/60","v":0.39019624668091296},{"$f":"I55*'Value of Time'!$M$90/60","v":1.9059878709289038},{"$f":"J55*'Value of Time'!$M$90/60","v":1.9074060584399235},{"$f":"K55*'Value of Time'!$M$90/60","v":1.6491975622159281},{"$f":"L55*'Value of Time'!$M$90/60","v":2.0777597652072872},{"$f":"M55*'Value of Time'!$M$90/60","v":1.7375907185896931},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G63:M63)","v":1.6763058327057327},{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental minute from Row \",O55, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental minute from Row 55 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"2. Delay Costs outside cordon, caused by an individual trip into the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,{"$f":"G20","v":"Graveyard\n11 pm-5 am"},"A.M. Pre-pk\n5-6 am","A.M. Peak\n6-9 am","A.M. Post-pk\n9-10 am","Midday Pk\n10 am-2 pm","P.M. Peak\n2-8 pm","P.M. Post-pk\n8-11 pm","Totals",{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G171","v":"11 pm - 5 am"},{"$f":"'Motor Vs'!H171","v":"5 am - 6 am"},{"$f":"'Motor Vs'!I171","v":"6 am - 9 am"},{"$f":"'Motor Vs'!J171","v":"9 am - 10 am"},{"$f":"'Motor Vs'!K171","v":"10 am - 2 pm"},{"$f":"'Motor Vs'!L171","v":"2 pm - 8 pm "},{"$f":"'Motor Vs'!M171","v":"8 pm - 11 pm"},null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,{"$f":"G22","v":6},1,3,1,4,6,3,{"$f":"SUM(G71:M71)","v":24},{"$f":"ROW()","v":71}]
[null,"Total VMT outside cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs'!G184","v":6159476.4844812322},{"$f":"'Motor Vs'!H184","v":1814520.9191883644},{"$f":"'Motor Vs'!I184","v":9303346.5298187621},{"$f":"'Motor Vs'!J184","v":2870233.9105078662},{"$f":"'Motor Vs'!K184","v":10641153.812974699},{"$f":"'Motor Vs'!L184","v":19638440.256182455},{"$f":"'Motor Vs'!M184","v":7356028.6336327512},{"$f":"SUM(G72:M72)","v":57783200.546786129},{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O184, \".\")","v":"Copied from 'Motor Vs' tab, Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Hourly VMT outside cordon, during period (baseline)",null,null,null,null,{"$f":"G72/G71","v":1026579.4140802054},{"$f":"H72/H71","v":1814520.9191883644},3101115.5099395872,2870233.9105078662,2660288.4532436747,3273073.3760304092,2452009.5445442502,null,{"$f":"ROW()","v":74}]
[null,{"$f":"CONCATENATE(\"Row \",O72, \" divided by number of hours in period, shown in Row \",O71, \".\")","v":"Row 72 divided by number of hours in period, shown in Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Travel speed outside cordon, during period, uncapped (baseline)",null,null,null,null,{"$f":"'Motor Vs'!G216","v":67.026285683017434},{"$f":"'Motor Vs'!H216","v":40.161836222382789},{"$f":"'Motor Vs'!I216","v":17.40263133338409},{"$f":"'Motor Vs'!J216","v":20.220483554516662},{"$f":"'Motor Vs'!K216","v":23.17704134460168},{"$f":"'Motor Vs'!L216","v":15.562241535911015},{"$f":"'Motor Vs'!M216","v":26.537132706577559},null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O216, \".\")","v":"Copied from 'Motor Vs' tab, Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Travel speed outside cordon, during period, capped (baseline)",null,null,null,null,{"$f":"MIN(G76,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN(H76,'Speed-Vol., non-Cordon'!$Y$6)","v":40.161836222382789},{"$f":"MIN(I76,'Speed-Vol., non-Cordon'!$Y$6)","v":17.40263133338409},{"$f":"MIN(J76,'Speed-Vol., non-Cordon'!$Y$6)","v":20.220483554516662},{"$f":"MIN(K76,'Speed-Vol., non-Cordon'!$Y$6)","v":23.17704134460168},{"$f":"MIN(L76,'Speed-Vol., non-Cordon'!$Y$6)","v":15.562241535911015},{"$f":"MIN(M76,'Speed-Vol., non-Cordon'!$Y$6)","v":26.537132706577559},null,{"$f":"ROW()","v":78}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs' tab, Row \",'Motor Vs'!O217, \". Equivalently, calculated as minimum of Row \",O76, \" speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y\",'Speed-Vol., non-Cordon'!$O$6, \".\")","v":"Copied from 'Motor Vs' tab, Row 217. Equivalently, calculated as minimum of Row 76 speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y6."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"Number of minutes required to travel one mile (baseline)",null,null,null,null,{"$f":"60/G78","v":1.0909090909090908},{"$f":"60/H78","v":1.4939555967453775},3.4477544717562254,2.9672880887459177,2.5887687348831951,3.8554857191713414,2.2609827769798301,null,{"$f":"ROW()","v":80}]
[null,{"$f":"CONCATENATE(\"Calculated as 60 divided by mph in Row \",O78, \".\")","v":"Calculated as 60 divided by mph in Row 78."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Number of minutes required to cover in-bound non-cordon part of trip (baseline)",null,null,null,null,{"$f":"G80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":18.389355683366585},{"$f":"H80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":25.183474106731349},{"$f":"I80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":58.118484682539332},{"$f":"J80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":50.019306405718574},{"$f":"K80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":43.638639960433842},{"$f":"L80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":64.991573370150363},{"$f":"M80*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":38.113181773194},null,{"$f":"ROW()","v":82}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O80,\", and, from 'Motor Vs' tab, mean of Cells I\",'Motor Vs'!O$93,\" and J\",'Motor Vs'!O$93,\" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, outside cordon.\")","v":"Product of Row 80, and, from 'Motor Vs' tab, mean of Cells I93 and J93 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, outside cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Hours those vehicles are driven outside cordon, per hr during period (baseline)",null,null,null,null,{"$f":"G$74/G78","v":18665.080256003734},{"$f":"H$74/H78","v":45180.228043883733},178198.08111377998,141946.84824274344,114781.19289213333,210321.46098475286,92399.189153411789,{"$f":"SUM(G84:M84)","v":801492.0806867088},{"$f":"ROW()","v":84}]
[null,{"$f":"CONCATENATE(\"Row \",O$74, \", vehicle miles in hour, divided by Row \",O78, \", speed in hour.\")","v":"Row 74, vehicle miles in hour, divided by Row 78, speed in hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Additional hourly VMT outside cordon from posited increment outside auto trips into cordon, during period (counts inbound miles only, intentionally omitting outbound, which could be occurring at any time)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1685.6909376419371},null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Product of Cell J\",O$15, \", the hypothesized number of new trips in hour, and, from 'Motor Vs' tab, mean of Cells I\",'Motor Vs'!O$93,\" and J\",'Motor Vs'!O$93, \" which are, respectively, non-cordon miles per auto-work trip entering cordon and non-cordon miles per auto-non-work trip entering cordon.\")","v":"Product of Cell J15, the hypothesized number of new trips in hour, and, from 'Motor Vs' tab, mean of Cells I93 and J93 which are, respectively, non-cordon miles per auto-work trip entering cordon and non-cordon miles per auto-non-work trip entering cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"\"Final\" hourly VMT outside cordon, including from posited increment outside incoming trips",null,null,null,null,{"$f":"G74+G88","v":1028265.1050178473},{"$f":"H74+H88","v":1816206.6101260064},3102801.2008772292,2871919.6014455082,2661974.1441813167,3274759.0669680513,2453695.2354818922,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O74, \" and \",O88, \".\")","v":"Sum of Rows 74 and 88."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Travel speed outside cordon, w/ increment in inbound trips, uncapped",null,null,null,null,{"$f":"Alpha*EXP(Beta*G91/'Speed-Vol., non-Cordon'!$S$48)","v":66.952884446092938},{"$f":"Alpha*EXP(Beta*H91/'Speed-Vol., non-Cordon'!$S$48)","v":40.117854545256542},{"$f":"Alpha*EXP(Beta*I91/'Speed-Vol., non-Cordon'!$S$48)","v":17.383573516699276},{"$f":"Alpha*EXP(Beta*J91/'Speed-Vol., non-Cordon'!$S$48)","v":20.198339876271795},{"$f":"Alpha*EXP(Beta*K91/'Speed-Vol., non-Cordon'!$S$48)","v":23.151659906773094},{"$f":"Alpha*EXP(Beta*L91/'Speed-Vol., non-Cordon'!$S$48)","v":15.545199150727148},{"$f":"Alpha*EXP(Beta*M91/'Speed-Vol., non-Cordon'!$S$48)","v":26.508071595026422},null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., non-Cordon' tab to hourly VMT calculated and shown in Row \",O91, \".\")","v":"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., non-Cordon' tab to hourly VMT calculated and shown in Row 91."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Travel speed outside cordon (w/ increment in inbound trips, capped)",null,null,null,null,{"$f":"MIN(G93,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN(H93,'Speed-Vol., non-Cordon'!$Y$6)","v":40.117854545256542},{"$f":"MIN(I93,'Speed-Vol., non-Cordon'!$Y$6)","v":17.383573516699276},{"$f":"MIN(J93,'Speed-Vol., non-Cordon'!$Y$6)","v":20.198339876271795},{"$f":"MIN(K93,'Speed-Vol., non-Cordon'!$Y$6)","v":23.151659906773094},{"$f":"MIN(L93,'Speed-Vol., non-Cordon'!$Y$6)","v":15.545199150727148},{"$f":"MIN(M93,'Speed-Vol., non-Cordon'!$Y$6)","v":26.508071595026422},null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Calculated as minimum of Row \",O93, \" speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y\",'Speed-Vol., non-Cordon'!$O$6, \".\")","v":"Calculated as minimum of Row 93 speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y6."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Hrs baseline veh's are driving outside cordon (w/ incremented inbound VMT)",null,null,null,null,{"$f":"G$74/G95","v":18665.080256003734},45229.759660786993,178393.44177194327,142102.46624672864,114907.02886773999,210552.03888316263,92500.487474324938,{"$f":"SUM(G97:M97)","v":802350.30316069024},{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Row \",O$74, \", baseline vehicle miles in hour, divided by Row \",O95, \", speed in hour with incremented number of inbound vehicles.\")","v":"Row 74, baseline vehicle miles in hour, divided by Row 95, speed in hour with incremented number of inbound vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Change in hrs that baseline veh's are driving outside cordon, per hr in period",null,null,null,null,{"$f":"G97-G84","v":0},49.531616903259419,195.3606581632921,155.61800398520427,125.83597560666385,230.57789840977057,101.29832091314893,{"$f":"SUM(G99:M99)","v":858.22247398133914},{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"New hours in Row \",O97, \" less baseline hours in Row \",O84, \".\")","v":"New hours in Row 97 less baseline hours in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Change in minutes that baseline veh's are driving outside cordon (inbound only)",null,null,null,null,{"$f":"G99*60","v":0},2971.8970141955651,11721.639489797526,9337.0802391122561,7550.1585363998311,13834.673904586234,6077.8992547889357,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Row \",O99, \" multiplied by number of minutes in an hour.\")","v":"Row 99 multiplied by number of minutes in an hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Change in those minutes, calibrated to passenger cars only (adjusting out trucks and buses)",null,null,null,null,{"$f":"G101*$E$161","v":0},2452.3417865711976,9672.430165193462,7704.7461354044062,6230.2190101504393,11416.058079316186,5015.344154219747,null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Row \",O101, \" minutes divided by factor from Cell E\",O$161, \" adjusting all-vehicle delay minutes to autos-only delay minutes.\")","v":"Row 101 minutes divided by factor from Cell E161 adjusting all-vehicle delay minutes to autos-only delay minutes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Same quantity as Row \",O103, \" except that change is per incremented trip\")","v":"Same quantity as Row 103 except that change is per incremented trip"},null,null,null,null,{"$f":"G101/$J$15","v":0},{"$f":"H103/$J$15","v":24.523417865711977},96.724301651934624,77.04746135404406,62.302190101504394,114.16058079316186,50.15344154219747,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G105:M105)","v":77.217386500691191},{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Row \",O101, \" divided by number of auto trips added, from Cell J\",O$15, \".\")","v":"Row 101 divided by number of auto trips added, from Cell J15."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Same as above (change in minutes, inbound only), per incremented mile",null,null,null,null,{"$f":"G105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":0},{"$f":"H105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":1.4547991757028165},{"$f":"I105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":5.7379617753204144},{"$f":"J105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":4.5706754205977678},{"$f":"K105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":3.695943823999972},{"$f":"L105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":6.7723316441896344},{"$f":"M105/AVERAGE('Motor Vs'!$I$93,'Motor Vs'!$J$93)","v":2.975245368071779},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G107:M107)","v":4.5807558655270633},{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O105, \" divided by mean of 'Motor Vs' tab Cells I\",'Motor Vs'!O$99,\" and J\",'Motor Vs'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Minutes per trip from Row 105 divided by mean of 'Motor Vs' tab Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Same as above (change in minutes, inbound only), per incremented minute",null,null,null,null,{"$f":"G$51/G82","v":5.2297235085674264E-2},7.1243146950704481E-2,0.39561737360870536,0.4607184629350502,0.35751751365570672,0.47269464114521309,0.46589441366491147,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G109:M109)","v":0.38011730359913265},{"$f":"ROW()","v":109}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O105, \" divided by minutes to travel one mile, from Row \",O82, \".\")","v":"Minutes per trip from Row 105 divided by minutes to travel one mile, from Row 82."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Cost of non-cordon delays caused by one vehicle entering in period (inbound only)",null,null,null,null,{"$f":"G105*'Value of Time'!$M$126/60","v":0},{"$f":"H105*'Value of Time'!$M$126/60","v":12.011899614971847},{"$f":"I105*'Value of Time'!$M$126/60","v":47.37686272498555},{"$f":"J105*'Value of Time'!$M$126/60","v":37.738881930776536},{"$f":"K105*'Value of Time'!$M$126/60","v":30.51644992513512},{"$f":"L105*'Value of Time'!$M$126/60","v":55.917386556122757},{"$f":"M105*'Value of Time'!$M$126/60","v":24.565829626568839},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G111:M111)","v":37.822113551049107},{"$f":"ROW()","v":111}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental trip from Row \",O105, \" multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$126, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental trip from Row 105 multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M126, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Delay cost attributable to one non-cordon *mile* driven by typical veh in period",null,null,null,null,{"$f":"G107*'Value of Time'!$M$126/60","v":0},{"$f":"H107*'Value of Time'!$M$126/60","v":0.71258018577088267},{"$f":"I107*'Value of Time'!$M$126/60","v":2.8105307839680052},{"$f":"J107*'Value of Time'!$M$126/60","v":2.2387782414947508},{"$f":"K107*'Value of Time'!$M$126/60","v":1.8103229508858649},{"$f":"L107*'Value of Time'!$M$126/60","v":3.3171790455457941},{"$f":"M107*'Value of Time'!$M$126/60","v":1.457315162465858},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G114:M114)","v":2.2437157788815862},{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental mile from Row \",O107, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental mile from Row 107 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Delay cost attributable to one non-cordon *minute* driven by typical veh in period",null,null,null,null,{"$f":"G109*'Value of Time'!$M$126/60","v":2.5615888512343993E-2},{"$f":"H109*'Value of Time'!$M$126/60","v":3.489585073796176E-2},{"$f":"I109*'Value of Time'!$M$126/60","v":0.1937787058781423},{"$f":"J109*'Value of Time'!$M$126/60","v":0.22566609425505876},{"$f":"K109*'Value of Time'!$M$126/60","v":0.17511688248933227},{"$f":"L109*'Value of Time'!$M$126/60","v":0.2315321872776234},{"$f":"M109*'Value of Time'!$M$126/60","v":0.22820134447668722},{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G117:M117)","v":0.18618656329836175},{"$f":"ROW()","v":117}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental minute from Row \",O109, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \", divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Delay in minutes per incremental minute from Row 109 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90, divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"3. Combined Delay Costs -- within and outside cordon -- caused by an additional trip into cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Total delay (in minutes) caused by one additional trip to cordon (inbound only)",null,null,null,null,{"$f":"G51+G105","v":0.96171245724710241},26.3175678122271,119.71698392015861,100.09227931836404,77.903768159475263,144.88174924482786,67.910160017323875,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G124:M124)","v":97.746770119625069},{"$f":"ROW()","v":124}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O51, \" and \",O105,\". Average in Col N is computed as avg of each period's minutes, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Sum of Rows 51 and 105. Average in Col N is computed as avg of each period's minutes, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Same as above, displayed as hours:minutes",null,null,null,null,{"$f":"G124/1440","v":"00:00:57.703"},"00:26:19.054","01:59:43.019","01:40:05.537","01:17:54.226","02:24:52.905","01:07:54.610","01:37:44.806",{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Cost of all delays caused by one vehicle entering cordon in period (inbound only)",null,null,null,null,{"$f":"G57+G111","v":0.82646964993853655},13.553743507145331,67.136151400274599,57.542974611854476,43.924023736718695,82.318327029151789,39.825472767932631,{"$f":"SUMPRODUCT('Motor Vs'!G$141:M$141,G129:M129)","v":55.464510054430086},{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O57, \" and \",O111,\". Average in Col N is computed as avg of each period's costs, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs' tab, Row \",'Motor Vs'!O$141, \".\")","v":"Sum of Rows 57 and 111. Average in Col N is computed as avg of each period's costs, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Calculations to adjust for passenger cars vs. larger vehicles (trucks and buses), reflecting difference in congestion causation",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"We derive an equation that recalculates the delay hours caused by one additional car trip into the CBD, based on an assumed ratio of truck-to-car congestion causation.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Nomenclature",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Congestion causation by one truck or bus = T",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Congestion causation by one auto = C",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Ratio of one truck's congestion causation to one auto's congestion causation = T/C, which we'll call F.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Trucks (and buses) percentage share of traffic volume = Tshare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Cars percentage share of traffic volume = Cshare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"We have the identity: Tshare + Cshare = 1",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"We also have (wkdays) Tshare x T + Cshare x C = ",null,null,{"$f":"N124","v":97.746770119625069},"(That's the 24-hr wghtd avg weekday delay cost, in mniutes, of one vehicle trip into the CBD)",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Substituting:","Tshare x T  +  (1 - Tshare) x C =",null,{"$f":"E146","v":97.746770119625069},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Divide both by C:","(Tshare x T + C - C x Tshare) / C =",null,{"$f":"TEXT(E147,\"0.00\")&\"/C\"","v":"97.75/C"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Simplify:","Tshare x T/C + 1 - Tshare = ",null,{"$f":"E148","v":"97.75/C"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Simplify more:","Tshare x F + 1 - Tshare = ",null,{"$f":"E149","v":"97.75/C"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Invert and reverse:",{"$f":"\"C / \"&TEXT(E147,\"0.00\")& \" =\"","v":"C / 97.75 ="},"1 / (Tshare x F + 1 - Tshare)",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Multiply:","C = ",{"$f":"TEXT(E147,\"0.00\")&\" / (Tshare x F + 1 - Tshare)\"","v":"97.75 / (Tshare x F + 1 - Tshare)"},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"For weekdays, we have these values:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Tshare",{"$f":"('Motor Vs'!M44+'Motor Vs'!N44)/'Motor Vs'!H35","v":0.14124056999161777},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"then Cshare",{"$f":"1-C155","v":0.85875943000838229},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"If F (i.e., T/C) = ",2.5,"(This is a Komanoff assumption, which the reader is free to vary.)",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,"then the equation above for C yields:","C = ",{"$f":"E147/(C155*C157+1-C155)","v":80.658410342529962},"minutes",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,null,"and:","T = ",{"$f":"E158*C157","v":201.64602585632491},"minutes",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,"The value just derived for C, ",{"$f":"TEXT(E158,\"0.0\")&\", equals\"","v":"80.7, equals"},{"$f":"TEXT(E158/E147,\"0%\")&\" of the value of\"","v":"83% of the value of"},{"$f":"TEXT(E147,\"0.00\")&\" for all veh's\"","v":"97.75 for all veh's"}," that was derived in Delays and is shown above.",null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Thus, delay costs in Part A should be multiplied by ",null,null,{"$f":"E158/E147","v":0.82517724364516676},"to yield delay costs for autos alone",null,{"$f":"CONCATENATE(\"(based on value of 'F' in Row \",O$157, \").\")","v":"(based on value of 'F' in Row 157)."},null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"(Or, conversely, would need to be multiplied by ",null,null,{"$f":"E159/E146","v":2.0629431091129171},"to yield delays for trucks or buses)",null,{"$f":"CONCATENATE(\"(based on value of 'F' in Row \",O$157, \").\")","v":"(based on value of 'F' in Row 157)."},null,null,null,null,null,null,{"$f":"ROW()","v":162}]

{"sheet":"Delays Weekends","index":43,"n_rows":130,"n_cols":15,"rows_kept":130,"cut":false,"hidden":false,"merged":[[117,1,118,11],[57,1,58,11],[60,1,61,11],[63,1,64,11],[85,1,87,5],[88,1,89,11],[111,1,112,11],[68,6,69,6],[68,7,69,7],[68,8,69,8],[68,9,69,9],[68,10,69,10],[68,11,69,11],[3,1,5,11],[7,1,10,11],[36,1,37,11],[34,1,35,5],[114,1,115,11],[19,6,20,6],[19,7,20,7],[19,8,20,8],[19,9,20,9],[19,10,20,10],[19,11,20,11]]}
[null,"Delays Weekends",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,{"$f":"CONCATENATE(\"This worksheet estimates the aggregate delays borne by all 'current' motor vehicle users as a result of a single additional vehicle trip into the CBD during M9a weekend or holiday. See result in Row \",O124, \" (expressed as minutes), in Row \",O127, \" (expressed as hours and minutes), and in Row \",O129, \" (expressed as dollar costs). See  'Delays Weekends' worksheet for analogous calculations for weekends. It also calculates the aggregate delays for each *mile driven* and *minute spent* in or near the Manhattan CBD.\")","v":"This worksheet estimates the aggregate delays borne by all 'current' motor vehicle users as a result of a single additional vehicle trip into the CBD during M9a weekend or holiday. See result in Row 124 (expressed as minutes), in Row 127 (expressed as hours and minutes), and in Row 129 (expressed as dollar costs). See  'Delays Weekends' worksheet for analogous calculations for weekends. It also calculates the aggregate delays for each *mile driven* and *minute spent* in or near the Manhattan CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,{"$f":"CONCATENATE(\"The worksheet operates by duplicating the initial stage of the 'Motor Vs Weekends' worksheet, which calculates average vehicle speeds for the different weekday periods; but with one difference: it increments the number \" & \"of vehicle trips into the CBD (or 'cordon') by a small number (here, we use \",J15, \"). The speeds for this (slightly) greater number of entries will be less than the baseline speeds calculated in 'Motor Vs Weekends'. Comparing the two sets of speeds \" & \"(actually, the number of *hours* needed to travel at the calculated speeds) reveals the additional hours in traffic caused by the additional entries.\")","v":"The worksheet operates by duplicating the initial stage of the 'Motor Vs Weekends' worksheet, which calculates average vehicle speeds for the different weekday periods; but with one difference: it increments the number of vehicle trips into the CBD (or 'cordon') by a small number (here, we use 100). The speeds for this (slightly) greater number of entries will be less than the baseline speeds calculated in 'Motor Vs Weekends'. Comparing the two sets of speeds (actually, the number of *hours* needed to travel at the calculated speeds) reveals the additional hours in traffic caused by the additional entries."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"In performing these calculations, we have taken care to calculate total traffic delays for 'baseline vehicles' only, to avoid 'charging' the posited additional trips for the delays they themselves experience.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,{"$f":"CONCATENATE(\"Auto trips added in Row \",O36, \" to estimate delay impact per trip:\")","v":"Auto trips added in Row 36 to estimate delay impact per trip:"},null,null,null,null,null,null,null,100,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Note: this figure could be virtually any number, since delay costs here are ultimately calculated per trip, and the ratio is nearly constant over a fairly wide range.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"1. Delay Costs within cordon, caused by an individual trip into the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,"Graveyard, Midnight-10 am","Early Shoulder\n10 am-Noon","Shoulder 1\nNoon-5 pm","Peak\n5 pm-8 pm","Shoulder 2\n8-10 pm","Late Shoulder\n10 pm-Midnight",null,{"$f":"'Motor Vs Weekends'!N132","v":"Totals"},{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,10,2,5,3,2,2,null,{"$f":"SUM(G22:M22)","v":24},{"$f":"ROW()","v":22}]
[null,"Total VMT in cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs Weekends'!G164","v":954329.69887013454},{"$f":"'Motor Vs Weekends'!H164","v":266572.51951866585},{"$f":"'Motor Vs Weekends'!I164","v":775840.38546789205},{"$f":"'Motor Vs Weekends'!J164","v":494865.18507514126},{"$f":"'Motor Vs Weekends'!K164","v":300445.06892331294},{"$f":"'Motor Vs Weekends'!L164","v":271878.18890428444},null,{"$f":"SUM(G23:M23)","v":3063931.0467594313},{"$f":"ROW()","v":23}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O164, \".\")","v":"Copied from 'Motor Vs Weekends' tab, Row 164."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Hourly VMT in cordon, during period (baseline)",null,null,null,null,{"$f":"G23/G22","v":95432.96988701346},{"$f":"H23/H22","v":133286.25975933293},155168.07709357841,164955.06169171375,150222.53446165647,135939.09445214222,null,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"Row \",O23, \" divided by number of hours in period, shown in Row \",O22, \".\")","v":"Row 23 divided by number of hours in period, shown in Row 22."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Travel speed in cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs Weekends'!G201","v":17.550723377686065},{"$f":"'Motor Vs Weekends'!H201","v":11.198272905224371},{"$f":"'Motor Vs Weekends'!I201","v":7.9371338148422508},{"$f":"'Motor Vs Weekends'!J201","v":6.7424914750360951},{"$f":"'Motor Vs Weekends'!K201","v":8.6056137538537421},{"$f":"'Motor Vs Weekends'!L201","v":10.764758517009115},null,null,{"$f":"ROW()","v":27}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O201, \".\")","v":"Copied from 'Motor Vs Weekends' tab, Row 201."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Number of minutes required to travel one mile (baseline)",null,null,null,null,{"$f":"60/G27","v":3.4186625080242456},{"$f":"60/H27","v":5.3579690821794479},7.5594038603458378,8.8987876695355848,6.9721930028675718,5.5737432386611889,null,null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Calculated as 60 divided by mph in Row \",O27, \".\")","v":"Calculated as 60 divided by mph in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Number of minutes required to cover in-bound cordon part of trip (baseline)",null,null,null,null,{"$f":"G29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":5.1279937620363683},{"$f":"H29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":8.0369536232691718},{"$f":"I29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":11.339105790518756},{"$f":"J29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":13.348181504303376},{"$f":"K29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":10.458289504301359},{"$f":"L29*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":8.3606148579917843},null,null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O29, \", and, from 'Motor Vs Weekends' tab, mean of Cells I\",'Motor Vs Weekends'!O$99,\" and J\",'Motor Vs Weekends'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Product of Row 29, and, from 'Motor Vs Weekends' tab, mean of Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Hours that those vehicles are driven in cordon, per hr during period (baseline)",null,null,null,null,{"$f":"G$25/G27","v":5437.5519363689955},{"$f":"H$25/H27","v":11902.394314497407},19549.636016393953,24465.001150161734,17456.341727443232,12628.160142872541,null,null,{"$f":"ROW()","v":33}]
[null,{"$f":"CONCATENATE(\"Row \",O$25, \", vehicle miles in hour, divided by Row \",O27, \", speed in hour.\")","v":"Row 25, vehicle miles in hour, divided by Row 27, speed in hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Additional hourly VMT in period in cordon from posited increment in auto trips into cordon (counts inbound miles only, intentionally omitting outbound, which could occur at any time)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":150},null,null,{"$f":"ROW()","v":36}]
[null,{"$f":"CONCATENATE(\"Product of Cell J\",O$15, \", the hypothesized number of new trips in hour, and, from 'Motor Vs Weekends' tab, mean of Cells I\",'Motor Vs Weekends'!O$99,\" and J\",'Motor Vs Weekends'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Product of Cell J15, the hypothesized number of new trips in hour, and, from 'Motor Vs Weekends' tab, mean of Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"\"Final\" hourly VMT in cordon, w/ posited increment in incoming trips",null,null,null,null,{"$f":"G25+G36","v":95582.96988701346},133436.25975933293,155318.07709357841,165105.06169171375,150372.53446165647,136089.09445214222,null,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O23, \" and \",O36, \".\")","v":"Sum of Rows 23 and 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Travel speed in cordon (with posited increment in inbound trips)",null,null,null,null,{"$f":"KSC/(1+0.1*(G39/V_sub_k)^KSE)","v":17.528383273710208},11.17353516348852,7.9175354541512712,6.7255026388815145,8.5847067312399243,10.740508602425281,null,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., Cordon' tab to hourly VMT calculated and shown in Row \",O39, \".\")","v":"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., Cordon' tab to hourly VMT calculated and shown in Row 39."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Hrs that baseline veh's are driving per hr in cordon (w/ incremented inbound VMT)",null,null,null,null,{"$f":"G$25/G41","v":5444.4821519933193},11928.745720053676,19598.027440751361,24526.800530576646,17498.854552013243,12656.671996095811,null,{"$f":"SUM(G43:M43)","v":91653.582391484058},{"$f":"ROW()","v":43}]
[null,{"$f":"CONCATENATE(\"Row \",O$25, \", baseline vehicle miles in hour, divided by Row \",O41, \", speed in hour with incremented number of inbound vehicles.\")","v":"Row 25, baseline vehicle miles in hour, divided by Row 41, speed in hour with incremented number of inbound vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Change in hrs that baseline vehicles are driving in cordon, per hr in period",null,null,null,null,{"$f":"G43-G33","v":6.9302156243238642},26.351405556268219,48.391424357407232,61.799380414911866,42.512824570010707,28.511853223270009,null,{"$f":"SUM(G45:M45)","v":214.4971037461919},{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"New hours in Row \",O43, \" less baseline hours in Row \",O33, \".\")","v":"New hours in Row 43 less baseline hours in Row 33."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Change in minutes that baseline veh's are driving in cordon (inbound only)",null,null,null,null,{"$f":"G45*60","v":415.81293745943185},1581.0843333760931,2903.4854614444339,3707.962824894712,2550.7694742006424,1710.7111933962005,null,null,{"$f":"ROW()","v":47}]
[null,{"$f":"CONCATENATE(\"Row \",O45, \" multiplied by number of minutes in an hour.\")","v":"Row 45 multiplied by number of minutes in an hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Change in those minutes, calibrated to passenger cars only (adjusting out trucks and buses)",null,null,null,null,{"$f":"G47*Delays!$E$161","v":343.11937360477407},{"$f":"H47*Delays!$E$161","v":1304.6748121858404},{"$f":"I47*Delays!$E$161","v":2395.8901300385332},{"$f":"J47*Delays!$E$161","v":3059.7265433853645},{"$f":"K47*Delays!$E$161","v":2104.8369238951173},{"$f":"L47*Delays!$E$161","v":1411.6399472396106},null,null,{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"Row \",O47, \" minutes divided by factor from Cell E\",O$161, \" adjusting all-vehicle delay minutes to autos-only delay minutes.\")","v":"Row 47 minutes divided by factor from Cell E adjusting all-vehicle delay minutes to autos-only delay minutes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"CONCATENATE(\"Same quantity as Row \",O49, \" except that change is per incremented trip\")","v":"Same quantity as Row 49 except that change is per incremented trip"},null,null,null,null,{"$f":"G49/$J$15","v":3.4311937360477405},{"$f":"H49/$J$15","v":13.046748121858405},23.958901300385332,30.597265433853646,21.048369238951171,14.116399472396106,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G51:M51)","v":17.978154522793382},{"$f":"ROW()","v":51}]
[null,{"$f":"CONCATENATE(\"Row \",O47, \" divided by number of auto trips added, from Cell J\",O$15, \".\")","v":"Row 47 divided by number of auto trips added, from Cell J15."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Same as above (change in minutes, inbound only), per incremented mile",null,null,null,null,{"$f":"G$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":2.2874624906984935},{"$f":"H$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":8.6978320812389374},{"$f":"I$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":15.972600866923555},{"$f":"J$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":20.398176955902432},{"$f":"K$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":14.032246159300781},{"$f":"L$51/AVERAGE('Motor Vs Weekends'!$I$99,'Motor Vs Weekends'!$J$99)","v":9.4109329815974032},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G53:M53)","v":11.985436348528923},{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O$51, \" divided by mean of 'Motor Vs Weekends' tab Cells I\",'Motor Vs Weekends'!O$99,\" and J\",'Motor Vs Weekends'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Minutes per trip from Row 51 divided by mean of 'Motor Vs Weekends' tab Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Same as above (change in minutes, inbound only), per incremented minute",null,null,null,null,{"$f":"G$51/G31","v":0.66911035685136744},1.6233449554921546,2.1129445075306266,2.2922422371908313,2.0126015090990022,1.6884403494442104,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G55:M55)","v":1.7000331580875341},{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O51, \" divided by minutes to travel one mile, from Row \",O31, \".\")","v":"Minutes per trip from Row 51 divided by minutes to travel one mile, from Row 31."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Cost of in-cordon delays caused by one vehicle entering in period (inbound only)",null,null,null,null,{"$f":"G51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":1.7692050037617746},{"$f":"H51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":6.7272132778486355},{"$f":"I51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":12.353778692223177},{"$f":"J51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":15.776676944320426},{"$f":"K51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":10.853039217036999},{"$f":"L51*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":7.2787509254521945},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G57:M57)","v":9.2699635715602948},{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental trip from Row \",O51, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \" (adj to weekends by mutiplying by factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental trip from Row 51 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90 (adj to weekends by mutiplying by factor in 'Cost-Benefit' tab, Cell M126), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Delay cost attributable to one in-cordon *mile* driven by typical veh in period",null,null,null,null,{"$f":"G53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":1.1794700025078495},{"$f":"H53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":4.4848088518990901},{"$f":"I53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":8.2358524614821196},{"$f":"J53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":10.517784629546952},{"$f":"K53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":7.2353594780246668},{"$f":"L53*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":4.8525006169681291},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G60:M60)","v":6.1799757143735317},{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental mile from Row \",O53, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \" (adj to weekends via factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental mile from Row 53 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90 (adj to weekends via factor in 'Cost-Benefit' tab, Cell M126), divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Delay cost attributable to one in-cordon *minute* driven by typical veh in period",null,null,null,null,{"$f":"G55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":0.34500919577156602},{"$f":"H55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":0.83703522418886667},{"$f":"I55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":1.0894843844346918},{"$f":"J55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":1.1819345533497665},{"$f":"K55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":1.0377451506360849},{"$f":"L55*'Value of Time'!$M$90*'Cost-Benefit'!$M$126/60","v":0.87059995575499427},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G63:M63)","v":0.8765774832970693},{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental minute from Row \",O55, \" multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$90, \" (adj to weekends via factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental minute from Row 55 multiplied by avg value of vehicle operators' hour in cordon from 'Value of Time' tab, Cell M90 (adj to weekends via factor in 'Cost-Benefit' tab, Cell M126), divided by number of minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"2. Delay Costs outside cordon, caused by an individual trip into the cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,"Graveyard, Midnight-10 am","Early Shoulder\n10 am-Noon","Shoulder 1\nNoon-5 pm","Peak\n5 pm-8 pm","Shoulder 2\n8-10 pm","Late Shoulder\n10 pm-Midnight",null,{"$f":"N20","v":"Totals"},{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,{"$f":"G22","v":10},2,5,3,2,2,0,{"$f":"SUM(G71:M71)","v":24},{"$f":"ROW()","v":71}]
[null,"Total VMT outside cordon, during period (baseline)",null,null,null,null,{"$f":"'Motor Vs Weekends'!G184","v":13353878.464637872},{"$f":"'Motor Vs Weekends'!H184","v":4564837.655592707},{"$f":"'Motor Vs Weekends'!I184","v":13589370.979332816},{"$f":"'Motor Vs Weekends'!J184","v":8568803.6318336129},{"$f":"'Motor Vs Weekends'!K184","v":4974501.7183836531},{"$f":"'Motor Vs Weekends'!L184","v":4234508.8331869841},null,{"$f":"SUM(G72:M72)","v":49285901.282967642},{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O184, \".\")","v":"Copied from 'Motor Vs Weekends' tab, Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Hourly VMT outside cordon, during period (baseline)",null,null,null,null,{"$f":"G72/G71","v":1335387.8464637871},{"$f":"H72/H71","v":2282418.8277963535},2717874.1958665634,2856267.8772778711,2487250.8591918265,2117254.416593492,null,null,{"$f":"ROW()","v":74}]
[null,{"$f":"CONCATENATE(\"Row \",O72, \" divided by number of hours in period, shown in Row \",O71, \".\")","v":"Row 72 divided by number of hours in period, shown in Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Travel speed outside cordon, during period, uncapped (baseline)",null,null,null,null,{"$f":"'Motor Vs Weekends'!G216","v":54.836561641326661},{"$f":"'Motor Vs Weekends'!H216","v":29.629787124806917},{"$f":"'Motor Vs Weekends'!I216","v":22.325533933610298},{"$f":"'Motor Vs Weekends'!J216","v":20.404881275475944},{"$f":"'Motor Vs Weekends'!K216","v":25.936153343226206},{"$f":"'Motor Vs Weekends'!L216","v":32.987814551544879},null,null,{"$f":"ROW()","v":76}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O216, \".\")","v":"Copied from 'Motor Vs Weekends' tab, Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Travel speed outside cordon, during period, capped (baseline)",null,null,null,null,{"$f":"MIN(G76,'Speed-Vol., non-Cordon'!$Y$6)","v":54.836561641326661},{"$f":"MIN(H76,'Speed-Vol., non-Cordon'!$Y$6)","v":29.629787124806917},{"$f":"MIN(I76,'Speed-Vol., non-Cordon'!$Y$6)","v":22.325533933610298},{"$f":"MIN(J76,'Speed-Vol., non-Cordon'!$Y$6)","v":20.404881275475944},{"$f":"MIN(K76,'Speed-Vol., non-Cordon'!$Y$6)","v":25.936153343226206},{"$f":"MIN(L76,'Speed-Vol., non-Cordon'!$Y$6)","v":32.987814551544879},null,null,{"$f":"ROW()","v":78}]
[null,{"$f":"CONCATENATE(\"Copied from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O217, \". Equivalently, calculated as minimum of Row \",O76, \" speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y\",'Speed-Vol., non-Cordon'!$O$6, \".\")","v":"Copied from 'Motor Vs Weekends' tab, Row 217. Equivalently, calculated as minimum of Row 76 speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y6."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"Number of minutes required to travel one mile (baseline)",null,null,null,null,{"$f":"60/G78","v":1.09416050540233},{"$f":"60/H78","v":2.0249892362461916},2.6875057133425209,2.9404728795022357,2.3133731207550219,1.8188534407530217,null,null,{"$f":"ROW()","v":80}]
[null,{"$f":"CONCATENATE(\"Calculated as 60 divided by mph in Row \",O78, \".\")","v":"Calculated as 60 divided by mph in Row 78."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Number of minutes required to cover in-bound non-cordon part of trip (baseline)",null,null,null,null,{"$f":"G80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":18.444164482824295},{"$f":"H80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":34.13506004362673},{"$f":"I80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":45.303040258424168},{"$f":"J80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":49.567284853588099},{"$f":"K80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":38.996321050411872},{"$f":"L80*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":30.660247619762245},null,null,{"$f":"ROW()","v":82}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O80,\", and, from 'Motor Vs Weekends' tab, mean of Cells I\",'Motor Vs Weekends'!O$93,\" and J\",'Motor Vs Weekends'!O$93,\" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, outside cordon.\")","v":"Product of Row 80, and, from 'Motor Vs Weekends' tab, mean of Cells I93 and J93 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, outside cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Hours those vehicles are driven outside cordon, per hr during period (baseline)",null,null,null,null,{"$f":"G$74/G78","v":24352.144016582439},{"$f":"H$74/H78","v":77031.225981554424},121738.37382562664,139979.63716215,95898.988037153424,64182.924676176743,null,{"$f":"SUM(G84:M84)","v":523183.29369924369},{"$f":"ROW()","v":84}]
[null,{"$f":"CONCATENATE(\"Row \",O$74, \", vehicle miles in hour, divided by Row \",O78, \", speed in hour.\")","v":"Row 74, vehicle miles in hour, divided by Row 78, speed in hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Additional hourly VMT outside cordon from posited increment outside auto trips into cordon, during period (counts inbound miles only, intentionally omitting outbound, which could be occurring at any time)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},{"$f":"$J$15*AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":1685.6909376419371},null,null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Product of Cell J\",O$15, \", the hypothesized number of new trips in hour, and, from 'Motor Vs Weekends' tab, mean of Cells I\",'Motor Vs Weekends'!O$93,\" and J\",'Motor Vs Weekends'!O$93, \" which are, respectively, non-cordon miles per auto-work trip entering cordon and non-cordon miles per auto-non-work trip entering cordon.\")","v":"Product of Cell J15, the hypothesized number of new trips in hour, and, from 'Motor Vs Weekends' tab, mean of Cells I93 and J93 which are, respectively, non-cordon miles per auto-work trip entering cordon and non-cordon miles per auto-non-work trip entering cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"\"Final\" hourly VMT outside cordon, including from posited increment outside incoming trips",null,null,null,null,{"$f":"G74+G88","v":1337073.5374014291},{"$f":"H74+H88","v":2284104.5187339955},2719559.8868042054,2857953.5682155131,2488936.5501294686,2118940.107531134,null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O74, \" and \",O88, \".\")","v":"Sum of Rows 74 and 88."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Travel speed outside cordon, w/ increment in inbound trips, uncapped",null,null,null,null,{"$f":"Alpha*EXP(Beta*G91/'Speed-Vol., non-Cordon'!$S$48)","v":54.77650950786672},{"$f":"Alpha*EXP(Beta*H91/'Speed-Vol., non-Cordon'!$S$48)","v":29.597339212728716},{"$f":"Alpha*EXP(Beta*I91/'Speed-Vol., non-Cordon'!$S$48)","v":22.301084991094267},{"$f":"Alpha*EXP(Beta*J91/'Speed-Vol., non-Cordon'!$S$48)","v":20.382535661219453},{"$f":"Alpha*EXP(Beta*K91/'Speed-Vol., non-Cordon'!$S$48)","v":25.907750370913824},{"$f":"Alpha*EXP(Beta*L91/'Speed-Vol., non-Cordon'!$S$48)","v":32.951689225982747},null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., non-Cordon' tab to hourly VMT calculated and shown in Row \",O91, \".\")","v":"Calculated by applying speed-volume (cordon) relationship shown in 'Speed-Vol., non-Cordon' tab to hourly VMT calculated and shown in Row 91."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Travel speed outside cordon (w/ increment in inbound trips, capped)",null,null,null,null,{"$f":"MIN(G93,'Speed-Vol., non-Cordon'!$Y$6)","v":54.77650950786672},{"$f":"MIN(H93,'Speed-Vol., non-Cordon'!$Y$6)","v":29.597339212728716},{"$f":"MIN(I93,'Speed-Vol., non-Cordon'!$Y$6)","v":22.301084991094267},{"$f":"MIN(J93,'Speed-Vol., non-Cordon'!$Y$6)","v":20.382535661219453},{"$f":"MIN(K93,'Speed-Vol., non-Cordon'!$Y$6)","v":25.907750370913824},{"$f":"MIN(L93,'Speed-Vol., non-Cordon'!$Y$6)","v":32.951689225982747},null,null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Calculated as minimum of Row \",O93, \" speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y\",'Speed-Vol., non-Cordon'!$O$6, \".\")","v":"Calculated as minimum of Row 93 speed and the ceiling for non-cordon speeds specified in 'Speed-Vol., non-Cordon' tab, Cell Y6."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Hrs baseline veh's are driving outside cordon (w/ incremented inbound VMT)",null,null,null,null,{"$f":"G$74/G95","v":24378.841559300261},77115.676223177856,121871.83704075032,140133.09848942442,96004.123228862794,64253.289173533936,null,{"$f":"SUM(G97:M97)","v":523756.86571504956},{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Row \",O$74, \", baseline vehicle miles in hour, divided by Row \",O95, \", speed in hour with incremented number of inbound vehicles.\")","v":"Row 74, baseline vehicle miles in hour, divided by Row 95, speed in hour with incremented number of inbound vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Change in hrs that baseline veh's are driving outside cordon, per hr in period",null,null,null,null,{"$f":"G97-G84","v":26.697542717822216},84.450241623431793,133.46321512368741,153.46132727441727,105.1351917093707,70.364497357193613,null,{"$f":"SUM(G99:M99)","v":573.572015805923},{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"New hours in Row \",O97, \" less baseline hours in Row \",O84, \".\")","v":"New hours in Row 97 less baseline hours in Row 84."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Change in minutes that baseline veh's are driving outside cordon (inbound only)",null,null,null,null,{"$f":"G99*60","v":1601.852563069333},5067.0144974059076,8007.7929074212443,9207.6796364650363,6308.1115025622421,4221.8698414316168,null,null,{"$f":"ROW()","v":101}]
[null,{"$f":"CONCATENATE(\"Row \",O99, \" multiplied by number of minutes in an hour.\")","v":"Row 99 multiplied by number of minutes in an hour."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Change in those minutes, calibrated to passenger cars only (adjusting out trucks and buses)",null,null,null,null,{"$f":"G101*Delays!$E$161","v":1321.8122827194977},{"$f":"H101*Delays!$E$161","v":4181.1850564795068},{"$f":"I101*Delays!$E$161","v":6607.8484790271787},{"$f":"J101*Delays!$E$161","v":7597.9677027859498},{"$f":"K101*Delays!$E$161","v":5205.3100622906823},{"$f":"L101*Delays!$E$161","v":3483.7909187811988},null,null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Row \",O101, \" minutes divided by factor from Cell E\",O$159, \" adjusting all-vehicle delay minutes to autos-only delay minutes.\")","v":"Row 101 minutes divided by factor from Cell E adjusting all-vehicle delay minutes to autos-only delay minutes."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Same quantity as Row \",O103, \" except that change is per incremented trip\")","v":"Same quantity as Row 103 except that change is per incremented trip"},null,null,null,null,{"$f":"G101/$J$15","v":16.018525630693329},50.670144974059077,80.077929074212449,92.076796364650363,63.081115025622424,42.218698414316165,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G105:M105)","v":58.748930887838767},{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Row \",O101, \" divided by number of auto trips added, from Cell J\",O$15, \".\")","v":"Row 101 divided by number of auto trips added, from Cell J15."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Same as above (change in minutes, inbound only), per incremented mile",null,null,null,null,{"$f":"G105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":0.95026468215467597},{"$f":"H105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":3.0058976911236197},{"$f":"I105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":4.7504514194180274},{"$f":"J105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":5.4622584904830687},{"$f":"K105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":3.7421518747597187},{"$f":"L105/AVERAGE('Motor Vs Weekends'!$I$93,'Motor Vs Weekends'!$J$93)","v":2.5045337476497709},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G107:M107)","v":3.4851543409268668},{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O105, \" divided by mean of 'Motor Vs Weekends' tab Cells I\",'Motor Vs Weekends'!O$99,\" and J\",'Motor Vs Weekends'!O$99, \" which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon.\")","v":"Minutes per trip from Row 105 divided by mean of 'Motor Vs Weekends' tab Cells I99 and J99 which are, respectively, miles per auto-work trip and miles per auto-non-work trip, in cordon."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Same as above (change in minutes, inbound only), per incremented minute",null,null,null,null,{"$f":"G$51/G82","v":0.18603139975480923},0.38220961396241426,0.5288585746942257,0.61728750171069247,0.53975269133058035,0.46041374640749139,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G109:M109)","v":0.44307580019264226},{"$f":"ROW()","v":109}]
[null,{"$f":"CONCATENATE(\"Minutes per trip from Row \",O105, \" divided by minutes to travel one mile, from Row \",O82, \".\")","v":"Minutes per trip from Row 105 divided by minutes to travel one mile, from Row 82."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Cost of non-cordon delays caused by one vehicle entering in period (inbound only)",null,null,null,null,{"$f":"G105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":4.7076534659902061},{"$f":"H105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":14.891350746556245},{"$f":"I105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":23.533947446024555},{"$f":"J105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":27.060271309411327},{"$f":"K105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":18.538786692071159},{"$f":"L105*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":12.407571489533408},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G111:M111)","v":17.265609488267398},{"$f":"ROW()","v":111}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental trip from Row \",O105, \" multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$126, \" (adj to weekends by mutiplying by factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by minutes in hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental trip from Row 105 multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M126 (adj to weekends by mutiplying by factor in 'Cost-Benefit' tab, Cell M126), divided by minutes in hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Delay cost attributable to one non-cordon *mile* driven by typical veh in period",null,null,null,null,{"$f":"G107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.27927144655446762},{"$f":"H107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.88339744932053277},{"$f":"I107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":1.3961009649221638},{"$f":"J107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":1.605292566101419},{"$f":"K107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":1.0997737650535462},{"$f":"L107*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.73605257123171053},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G114:M114)","v":1.0242452576994774},{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental mile from Row \",O107, \" multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$126, \" (adj to weekends via factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental mile from Row 107 multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M126 (adj to weekends via factor in 'Cost-Benefit' tab, Cell M126), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Delay cost attributable to one non-cordon *minute* driven by typical veh in period",null,null,null,null,{"$f":"G109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":5.4672407687799865E-2},{"$f":"H109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.11232684301838949},{"$f":"I109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.15542522199467562},{"$f":"J109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.18141342804812163},{"$f":"K109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.15862687282849311},{"$f":"L109*'Value of Time'!$M$126*'Cost-Benefit'!$M$126/60","v":0.13531010400305785},null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G117:M117)","v":0.13021468857761503},{"$f":"ROW()","v":117}]
[null,{"$f":"CONCATENATE(\"Delay in minutes per incremental minute from Row \",O109, \" multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M\",'Value of Time'!O$126, \" (adj to weekends via factor in 'Cost-Benefit' tab, Cell M\",'Cost-Benefit'!O$126, \"), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Delay in minutes per incremental minute from Row 109 multiplied by avg value of vehicle operators' hour outside cordon from 'Value of Time' tab, Cell M126 (adj to weekends via factor in 'Cost-Benefit' tab, Cell M126), divided by minutes in an hour. Average in Col N is computed as avg of each period's cost, weighted by each period's share of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"3. Combined Delay Costs -- within and outside cordon -- caused by an additional trip into cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Total delay (in minutes) caused by one additional trip to cordon (inbound only)",null,null,null,null,{"$f":"G51+G105","v":19.449719366741071},63.716893095917484,104.03683037459778,122.67406179850401,84.129484264573591,56.335097886712269,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G124:M124)","v":76.727085410632142},{"$f":"ROW()","v":124}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O51, \" and \",O105,\". Average in Col N is computed as avg of each period's minutes, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Sum of Rows 51 and 105. Average in Col N is computed as avg of each period's minutes, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Same as above, displayed as hours:minutes",null,null,null,null,{"$f":"G124/1440","v":"00:19:26.983"},"01:03:43.014","01:44:02.210","02:02:40.444","01:24:07.769","00:56:20.106",null,{"$f":"N124/1440","v":"01:16:43.625"},{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Cost of all delays caused by one vehicle entering cordon in period (inbound only)",null,null,null,null,{"$f":"G57+G111","v":6.4768584697519804},21.618564024404883,35.887726138247729,42.836948253731755,29.391825909108157,19.686322414985604,null,{"$f":"SUMPRODUCT('Motor Vs Weekends'!G$141:M$141,G129:M129)","v":26.535573059827694},{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O57, \" and \",O111,\". Average in Col N is computed as avg of each period's costs, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row \",'Motor Vs Weekends'!O$141, \".\")","v":"Sum of Rows 57 and 111. Average in Col N is computed as avg of each period's costs, weighted by respective shares of 24h vehicle entries, taken from 'Motor Vs Weekends' tab, Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]

{"sheet":"Speed-Vol., Cordon","index":44,"n_rows":185,"n_cols":12,"rows_kept":185,"cut":false,"hidden":false,"merged":[[48,1,49,10],[91,9,91,10],[89,1,90,10],[9,1,11,10],[5,1,8,10],[12,1,16,10],[22,1,23,10],[33,1,34,10],[83,1,85,10],[80,1,82,10],[38,1,40,10],[41,1,43,10],[51,1,52,10],[69,1,70,9]]}
[null,"Speed-Volume (Cordon)",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"Issue and Approach",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"Higher traffic volumes generally result in lower traffic speeds, and vice-versa. Speed-Volume relationships are the mathematical expressions of that phenomenon. They are central to the BTA, since they are used to translate the predicted changes in traffic volumes from congestion pricing (and new transit fares, if applicable) into estimated time savings. They also are used to establish baseline estimates of traffic speeds in the CBD.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"For the speed-volume relationship we apply to traffic within the CBD, we relied on modeling by renowned U-C Irvine economics professor and director emeritus of U-C Irvine's Institute for Transportation Studies, Kenneth A. Small <https://www.faculty.uci.edu/profile.cfm?faculty_id=2431>.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"In his 1992 book, Urban Transportation Economics (Harwood Academic Publishers, 1992, now distributed by Routledge), Prof. Small fitted the following curve to speed data observed by University of Toronto economics professor Donald DeWees in a corridor in Toronto that he describes as somewhat urban and somewhat suburban. (The Dewees article, which is not Internet-available, is Dewees, Donald N. (1978) \"Simulations Of Traffic Congestion In Toronto,\" Transportation Research, Vol. 12, pp. 153-161. See Table 7.)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"The equation is as follows: ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"60/S = 2.48 + 0.254(V/VK)4.08              (Equation 1)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"where S = speed, V = vehicle volume (in vehicles per hour) and V_sub_k is a situation-specific parameter (arbitrarily taken at 1000 in this case). ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Prof. Small approximated Equation 1 as follows:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"60/S = 2.5 * [1 + 0.1*(V/VK)4]          (Equation 2)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"We elected, however, to work with Equation 1, which can be translated algebraically into Equation 3:",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"S = 24.2 / [1 + 0.1*(V/VK)4.08]          (Equation 3)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Note that the maximum speed allowed by this formulation is 24.2 mph, which appeared to fit well with CBD (nighttime) traffic (allowing for traffic signals).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"2. Estimating \"V_sub_k\" from CBD Traffic volumes and speeds -- current inputs and results",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Manhattan travel speed data are drawn from GPS records maintained by NYC medallion taxicabs. They first appeared in DOT's \"Sustainable Street Index\" report for 2011, available at <http://www.nyc.gov/html/dot//downloads/pdf/sustainable_streets_index_11.pdf>.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"The taxi GPS dataset provides the first comprehensive view of network-wide traffic speeds in Manhattan. The taxi speed data are based on the distance and duration of the entire trip for customer-carrying taxi rides within [the] CBD. Speeds reflect both time in motion and time spent stopped in traffic or at red lights. (2011 report, p. 14)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Following is the NYC DOT  traffic speed datum used in the current version of the BTA.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Estimated average traffic speed in Manhattan CBD, weekdays, 8 a.m. - 6 p.m. (mph):",null,null,null,null,null,null,null,null,7.1,{"$f":"ROW()","v":48}]
[null,"Based on GPS records maintained by NYC medallion taxicabs, distilled and reported in NYC DOT, New York City Mobility Report (June 2018), pp 18-19. And repeated in the 2018 report, which, notwithstanding its title, has only the same 2017 datum, 7.1 mph (at p 13).",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,{"$f":"CONCATENATE(\"We now modify the Ken Small equation so that the CBD traffic volumes for the various time periods 'yield' the average speed shown in Cell K\",L48, \". This is done by trial-and-error, so we go directly to the results:\")","v":"We now modify the Ken Small equation so that the CBD traffic volumes for the various time periods 'yield' the average speed shown in Cell K48. This is done by trial-and-error, so we go directly to the results:"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"S = 24.2 / [1 + 0.1*(V/VK)4.08]          (We repeat Equation 3, above)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"We name the 24.2 parameter KSC (Ken Small constant term)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"We name the 4.08 parameter KSE (Ken Small exponent)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"S = KSC / [1 + 0.1*(V/VK)KSE]          (Eqn 3 with range-names substituted for Ken Small's constants)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,{"$f":"CONCATENATE(\"Value of KSC which (in conjunction with revised KSE) yields speed in Cells K\",$L$48, \":\")","v":"Value of KSC which (in conjunction with revised KSE) yields speed in Cells K48:"},null,null,null,null,null,null,null,22,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Value of KSE which (in conjunction with revised KSC) yields speed in Cells K\",$L$48, \" (rounded):\")","v":"Value of KSE which (in conjunction with revised KSC) yields speed in Cells K48 (rounded):"},null,null,null,null,null,null,null,4,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Estimated vehicle volumes (expressed as hourly VMT) in Manhattan CBD, weekdays (shown only for pertinent time blocks)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,"6-9 a.m.","9-10 a.m.","10am-2pm","2-8 p.m.",null,{"$f":"ROW()","v":66}]
[null,"Hourly VMT",null,null,null,null,{"$f":"'Motor Vs'!I166","v":160753.02998788506},{"$f":"'Motor Vs'!J166","v":160844.10566358111},{"$f":"'Motor Vs'!K166","v":145895.19712919145},{"$f":"'Motor Vs'!L166","v":172834.34240215644},null,{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"From Motor Vs worksheet, Row \",'Motor Vs'!O166, \". Note that figures are total VMT rather than merely entries into cordon.\")","v":"From Motor Vs worksheet, Row 166. Note that figures are total VMT rather than merely entries into cordon."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Number of hours in period",null,null,null,null,{"$f":"'Motor Vs'!I135","v":3},{"$f":"'Motor Vs'!J135","v":1},{"$f":"'Motor Vs'!K135","v":4},{"$f":"'Motor Vs'!L135","v":6},null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"From Motor Vs worksheet, Row \",'Motor Vs'!O135, \" except 6-9 a.m. value has been changed to 1 hr, and 2-8 p.m. to 4 (hours),  to match NYCDOT data source.\")","v":"From Motor Vs worksheet, Row 135 except 6-9 a.m. value has been changed to 1 hr, and 2-8 p.m. to 4 (hours),  to match NYCDOT data source."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Total Period VMT",null,null,null,null,{"$f":"G67*G69","v":482259.08996365522},160844.10566358111,583580.78851676581,1037006.0544129387,{"$f":"SUM(G72:J72)","v":2263690.0385569409},{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,{"$f":"CONCATENATE(\"V_sub_k required to yield average traffic speed shown in Cell K\",L48, \".\")","v":"V_sub_k required to yield average traffic speed shown in Cell K48."},null,null,null,null,null,null,null,null,75631,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Speeds",null,null,null,null,{"$f":"KSC/(1+0.1*(G67/$K$74)^KSE)","v":7.2345261344574521},7.2235298373289432,9.2253691014053434,5.9025163345882756,null,{"$f":"ROW()","v":76}]
[null,"Reciprocals of Speeds",null,null,null,null,{"$f":"1/G76","v":0.13822605398259361},0.1384364739288973,0.10839674694941641,0.16941926854824266,{"$f":"(1*G67+H69*H67+I69*I67+4*J67)/(1*G67*G77+H69*H67*H77+I69*I67*I77+4*J67*J77)","v":7.099691544567313},{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Important Note",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,{"$f":"CONCATENATE(\"The worksheet that 'drives' the BTA, Motor Vs, operates properly if and only if the average motor vehicle speed shown in Row \",'Motor Vs'!O204, \" of that worksheet matches the value shown directly above in Row \",L77,  \" when the Baseline Traffic Reduction 'switch' in the 'Summary' and 'Policy Levers' worksheets is set to zero.\")","v":"The worksheet that 'drives' the BTA, Motor Vs, operates properly if and only if the average motor vehicle speed shown in Row 204 of that worksheet matches the value shown directly above in Row 77 when the Baseline Traffic Reduction 'switch' in the 'Summary' and 'Policy Levers' worksheets is set to zero."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"If, for some reason, the two values are different, then the value of V_sub_k shown directly above in Row \",L74, \" must be re-set, by trial and error, to equate the two -- again, with the Baseline Traffic Reduction set to zero.\")","v":"If, for some reason, the two values are different, then the value of V_sub_k shown directly above in Row 74 must be re-set, by trial and error, to equate the two -- again, with the Baseline Traffic Reduction set to zero."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Taxicab Data from September 2014 (this section was added on 16-Sept-2016)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Data are from paper by M. Anil Yazici, et al., \"Urban Travel Time Variability in New York City: A Spatio-Temporal Analysis within Congestion Pricing Context,\" submitted to TRB, 2016 (review copy). Weekday data are from Fig 2, weekend from Fig 3.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,"Mean",null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,"8-9 a.m.","12am-1pm","5-6 p.m.","10-11 p.m.","Arithmetic","Harmonic",{"$f":"ROW()","v":93}]
[null,"Weekday minutes per mile (mean)",null,null,null,5.8288000000000002,9.4231999999999996,8.4740000000000002,6.0674000000000001,null,null,{"$f":"ROW()","v":94}]
[null,"Weekday mph",null,null,null,{"$f":"60/F94","v":10.293713972001097},{"$f":"60/G94","v":6.3672637745139662},{"$f":"60/H94","v":7.0804814727401464},{"$f":"60/I94","v":9.888914526815439},{"$f":"AVERAGE(F95:I95)","v":8.4075934365176614},{"$f":"HARMEAN(F95:I95)","v":8.055475373740494},{"$f":"ROW()","v":95}]
[null,"Weekend minutes per mile (mean)",null,null,null,4.3456999999999999,6.5491999999999999,7.3487,6.8720999999999997,null,null,{"$f":"ROW()","v":96}]
[null,"Weekend mph",null,null,null,{"$f":"60/F96","v":13.806751501484227},{"$f":"60/G96","v":9.1614242960972341},{"$f":"60/H96","v":8.1647094043844497},{"$f":"60/I96","v":8.7309556030907594},{"$f":"AVERAGE(F97:I97)","v":9.965960201264167},{"$f":"HARMEAN(F97:I97)","v":9.555775869276987},{"$f":"ROW()","v":97}]
[null,"Note: Data were derived from comprehensive computer tapes of trips by yellow and green taxicabs. See Yazici paper for details.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Note: figures in this array are not weighted by vehicle volumes; doing so would reduce both sets of means.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Note: Yazici paper also has data for Manhattan north of 60th St, Brooklyn and Queens.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Graph of Equation 3",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"S = 24.2 / [1 + 0.1*(V/VK)4.08]          (Equation 3)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"S = 24.2 / [1 + 0.1*(X4.08]          ",null,null,null,null,null,24.2,0.1,4.08,{"$f":"V_sub_k","v":75631},{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"X","V/1000","S",null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,0.2,{"$f":"B109*$K$106/1000","v":15.126200000000001},{"$f":"$H$106/(1+B109^$J$106*$I$106)","v":24.196596257791114},null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,0.25,{"$f":"B110*$K$106/1000","v":18.90775},24.191542173144775]
[null,0.3,22.689299999999999,24.182211033137715]
[null,0.35,26.470849999999999,24.166656269589446]
[null,0.4,30.252400000000002,24.142563476319111]
[null,0.45,34.033950000000004,24.10726259168441]
[null,0.5,37.8155,24.057749885983455]
[null,0.55000000000000004,41.597050000000003,23.990722231632109]
[null,0.6,45.378599999999999,23.902626187234123]
[null,0.65,49.160150000000002,23.789724198791344]
[null,0.7,52.941699999999997,23.648179641434382]
[null,0.75,56.72325,23.474161431210224]
[null,0.8,60.504800000000003,23.263967497416608]
[null,0.85,64.286349999999999,23.014164545767777]
[null,0.9,68.067900000000009,22.721739364177996]
[null,0.95,71.84944999999999,22.384254623770893]
[null,1,75.631,21.999999999999996]
[null,1.05,79.412549999999996,21.568127844751331]
[null,1.1000000000000001,83.194100000000006,21.088761959744232]
[null,1.1499999999999999,86.975649999999987,20.563068574684639]
[null,1.2,90.757199999999997,19.993280593728034]
[null,1.25,94.538749999999993,19.382669492362798]
[null,1.3,98.320300000000003,18.73546361771287]
[null,1.35,102.10185,18.056716528305095]
[null,1.4,105.88339999999999,17.35213371778049]
[null,1.45,109.66494999999999,16.627869902410843]
[null,1.5,113.4465,15.890311452196549]
[null,1.55,117.22805,15.145859202044466]
[null,1.6,121.00960000000001,14.400725795867132]
[null,1.65,124.79114999999999,13.660759185366674]
[null,1.7,128.5727,12.931300424296284]
[null,1.75,132.35425000000001,12.217080049110436]
[null,1.8,136.13580000000002,{"$f":"$H$106/(1+B141^$J$106*$I$106)","v":11.522153661968256}]
[null,1.85,139.91735,10.849874248359335]
[null,1.9,143.69889999999998,10.202896512965509]
[null,1.95,147.48044999999999,9.5832071749205916]
[null,2,151.262,8.9921746588116065]
[null,2.0499999999999998,155.04354999999998,8.4306117915511418]
[null,2.1,158.82509999999999,7.8988457685369067]
[null,2.15,162.60665,7.3967905872212194]
[null,2.2000000000000002,166.38820000000001,6.9240181924481448]
[null,2.25,170.16974999999999,6.4798256072340017]
[null,2.2999999999999998,173.95129999999997,6.0632962502814918]
[null,2.35,177.73285000000001,5.6733544213452012]
[null,2.4,181.51439999999999,5.3088125517386953]
[null,2.4500000000000002,185.29595,4.9684112748743399]
[null,2.5,189.07749999999999,4.650852688456121]
[null,2.5499999999999998,192.85905,4.3548273795311285]
[null,2.6,196.64060000000001,4.0790358911387639]
[null,2.65,200.42214999999999,3.822205348293918]
[null,2.7,204.2037,3.5831019518690299]
[null,2.75,207.98525000000001,3.3605400082168084]
[null,2.8,211.76679999999999,3.1533881029886937]
[null,2.85,215.54835,2.9605729590895615]
[null,2.9,219.32989999999998,2.7810814477830532]
[null,2.95,223.11145000000002,2.6139611530931379]
[null,3,226.893,2.4583198255876444]
[null,3.05,230.67454999999998,2.3133240038734066]
[null,3.1,234.45609999999999,2.1781970312928287]
[null,3.15,238.23765,2.0522166514100499]
[null,3.2,242.01920000000001,1.9347123285625074]
[null,3.25,245.80074999999999,1.8250624084701808]
[null,3.3,249.58229999999998,1.7226912079782426]
[null,3.35,253.36385000000001,1.627066101770869]
[null,3.4,257.1454,{"$f":"$H$106/(1+B173^$J$106*$I$106)","v":1.5376946566668255}]
[null,3.45,{"$f":"B174*$K$106/1000","v":260.92695000000003},1.4541218502710338]
[null,3.5,264.70850000000002,1.37592739975348]
[null,3.55,268.49005,1.3027232178674826]
[null,3.6,272.27160000000003,1.2341510065808023]
[null,3.65,276.05314999999996,1.169879993515708]
[null,3.7,279.8347,1.1096048124754061]
[null,3.75,283.61624999999998,1.0530435264226978]
[null,3.8,287.39779999999996,0.99993578916456038]
[null,3.85,291.17935000000006,0.95004114051366706]
[null,3.9,294.96089999999998,0.90313742870630065]
[null,3.95,298.74245000000002,0.8590193532441861]
[null,4,302.524,0.81749712100568028]

{"sheet":"Speed-Vol., non-Cordon","index":45,"n_rows":495,"n_cols":25,"rows_kept":495,"cut":false,"hidden":false,"merged":[[49,20,50,27],[27,1,27,2],[27,3,27,4],[25,6,26,7],[25,9,26,10],[35,17,35,24],[30,15,31,15],[23,15,26,15],[25,12,26,13],[7,1,9,13],[10,1,15,13],[16,1,19,13],[22,9,24,10],[4,1,6,13]]}
[null,"Speed-Volume (non-Cordon)",null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3},null,null,"This is the equation used in the BTA to calculate changes in speeds on roads outside the CBD"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4},null,null,"Constant (alpha)",null,null,null,null,null,null,130.63]
[null,"This worksheet, a companion to the preceding \"Speed-Vol., Cordon\" tab, develops a mathematical relationship between traffic density and traffic speeds for freeways, which we use in the BTA to estimate time savings from lowering traffic levels",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5},null,null,"Density coefficient (beta)",null,null,null,null,null,null,-2.2499999999999999E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6},null,null,"Max value for non-cordon speeds in NYC",null,null,null,null,null,null,55]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"The worksheet distills data \"pairs\" of traffic densities and traffic speeds gathered by the Santa Clara Valley (Calif.) Transportation Authority (SCVTA) into mathematical relationships that we employ in the Motor V's worksheet to translate changes in traffic volumes due to tolling, into changes in traffic speeds.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"The data source is a set of several hundred data pairs of freeway speeds (mph) and densities (vehicles per lane-mile) observed by SCVTA and published in its May 2006 \"2006 Monitoring and Conformance Report\" (Table 4.5, beginning at p 60 of the pdf, which unfortunately is not Web-available as of 2019). We copied those data here. (using the \"2007 AM\" tab in the data spreadsheet provided to use by SCVTA, and sorted them to construct scatterplots using Excel's chart function. Following the lead of Ed Pike of the International Council on Clean Transportation, who suggested this approach for KEA-ICCT's 2008 study of road pricing for California, we included data for HOV lanes as well as regular mixed lanes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"We developed several equations to fit the data, including a power relationship shown in earlier editions of the BTA. The most compelling one uses an exponential relationship between highway density (vehicles per lane-maile) and speeds. We employ it in the BTA to estimate changes in vehicle speeds on roads outside the CBD (cordon) in response to changes in traffic volumes due to congestion tolling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,"(Density = vehicles per freeway lane-mile)",null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24},"Used to calculate changed non-cordon speeds"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Imported directly from SC Fwy AM data",null,null,null,null,"Same, but both types of lanes combined",null,null,"Same, sorted by ascending Density",null,null,"Same, excluding Density 0-30",null,{"$f":"ROW()","v":26}]
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[null,"Max Density",null,"Speed",null,null,"Density","Speed",null,"Density","Speed",null,"Density","Speed",{"$f":"ROW()","v":28},"Speed"]
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[null,100,null,14,"",null,100,14,null,2,67,null,32,64,{"$f":"ROW()","v":36},null,null,"Scaling Constant Derivations"]
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[null,106,88,12,18,null,106,12,null,4,67,null,32,64,{"$f":"ROW()","v":40},null,null,"Non-cordon speeds",{"$f":"Alpha*EXP(Beta*S39/$S$48)","v":67.026285683017434},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559]
[null,68,49,27,43,null,68,27,null,4,67,null,32,64,{"$f":"ROW()","v":41},null,null,"Capped non-cordon speeds",{"$f":"MIN(S40,MaxSpeed)","v":55},40.161836222382789,17.40263133338409,20.220483554516662,23.17704134460168,15.562241535911015,26.537132706577559]
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[null,53,30,39,65,null,53,39,null,4,67,null,32,64,{"$f":"ROW()","v":43},null,null,"Baseline total VMT",{"$f":"'Motor Vs'!G166","v":72672.41816644893},{"$f":"'Motor Vs'!H166","v":84940.230064423406},{"$f":"'Motor Vs'!I166","v":160753.02998788506},{"$f":"'Motor Vs'!J166","v":160844.10566358111},{"$f":"'Motor Vs'!K166","v":145895.19712919145},{"$f":"'Motor Vs'!L166","v":172834.34240215644},{"$f":"'Motor Vs'!M166","v":150693.31356494242}]
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[null,99,95,14,15,null,99,14,null,6,67,null,33,64,{"$f":"ROW()","v":50},null,null,"Constant (alpha)",{"$f":"Alpha","v":130.63},null,"Directly below, we \"recreate\" the exponential graph above, using the equation derived via curve-fitting. The graph below will be used in BTA visual presentations."]
[null,100,74,14,24,null,100,14,null,6,67,null,33,64,{"$f":"ROW()","v":51},null,null,"Density coefficient (beta)",{"$f":"Beta","v":-2.2499999999999999E-2}]
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{"sheet":"VMT","index":46,"n_rows":290,"n_cols":15,"rows_kept":290,"cut":false,"hidden":false,"merged":[[36,11,37,12],[36,9,37,10],[34,3,34,12],[54,4,55,4],[54,2,55,2],[54,3,55,3],[62,1,64,12],[67,1,68,8],[54,12,55,12],[54,6,55,6],[54,7,55,7],[54,8,55,8],[54,9,55,9],[54,11,55,11],[75,7,75,11],[74,7,74,11],[74,1,78,6],[79,12,80,13],[205,10,206,10],[170,10,171,10],[122,3,123,6],[167,1,168,8],[144,9,144,10],[97,8,98,8],[97,9,98,9],[134,1,137,9],[107,1,109,9],[121,9,121,10],[113,10,114,10],[127,1,128,9],[89,2,90,7],[145,3,146,6],[141,10,143,10],[261,4,261,5],[261,6,261,7],[261,8,261,9],[201,1,202,8],[252,4,252,5],[252,6,252,7],[252,8,252,9],[237,1,238,8],[237,10,238,10],[4,1,5,10],[38,9,39,9],[38,11,39,11],[38,10,39,10],[8,1,8,12],[11,12,14,12],[10,6,11,6],[10,7,10,12],[15,4,19,5],[11,10,14,10],[12,6,14,6],[38,12,39,12],[11,11,14,11],[11,9,14,9],[11,8,14,8],[11,7,14,7]]}
[null,"VMT (Vehicle Miles Traveled)",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,{"$f":"CONCATENATE(\"This worksheet estimates changes in *citywide* VMT from the traffic-pricing, toll-rebalancing and transit-improvement measures included in the plan selected by the user in the 'Results' worksheet tab. That plan is: \",Results!K27, \".\")","v":"This worksheet estimates changes in *citywide* VMT from the traffic-pricing, toll-rebalancing and transit-improvement measures included in the plan selected by the user in the 'Results' worksheet tab. That plan is: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"VMT Changes: Summary Table 1 — All NYC VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,"All VMT Changes","VMT Changes Within NYC",null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,"(2)\nAnnual VMT (000,000)","(3)\n% of All \nNYC VMT","(4)\n% of NYC passenger veh (autos + for-hire veh) VMT","(5)\n% of ∆ in VMT realized on streets (not highways)","(6)\nVMT change realized on streets (not highways)","(7)\n% Change in NYC-street VMT",null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,"(1)\nAnnual VMT (000,000)",null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Source or Category of Change to VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Cordon Pricing (VMT w/i CBD only)",null,null,"Changes in subway usage that relate to CBD are already captured in Subways, Motor Vs and Motor Vs Weekends worksheets.",null,{"$f":"J259","v":-68.919430945353952},{"$f":"G16","v":-68.919430945353952},{"$f":"$H16*1000/$E$62","v":-3.4861402971841527E-3},{"$f":"$H16/$G$71","v":-3.8309234034990692E-3},0.85,{"$f":"K16*H16","v":-58.581516303550856},null,null,{"$f":"ROW()","v":16}]
[null,"Cordon Pricing (VMT outside CBD)",null,null,null,null,{"$f":"J268","v":-574.55768828161467},{"$f":"J280*G17","v":-442.66221979226123},-2.2391110624264673E-2,-2.460561607062052E-2,0.5,{"$f":"K17*H17","v":-221.33110989613061},null,null,{"$f":"ROW()","v":17}]
[null,"Subway Usage (non-CBD only)",null,null,null,null,{"$f":"K243","v":-134.48784730037357},{"$f":"G18","v":-134.48784730037357},-6.8027767717224212E-3,-7.4755788700246392E-3,0.6,{"$f":"K18*H18","v":-80.692708380224147},null,null,{"$f":"ROW()","v":18}]
[null,"Bus Usage (CBD + non-CBD)",null,null,null,null,{"$f":"K159","v":-14.383104282608693},{"$f":"G19","v":-14.383104282608693},-7.2753821020317508E-4,-7.9949253868480776E-4,0.7,{"$f":"K19*H19","v":-10.068172997826085},null,null,{"$f":"ROW()","v":19}]
[null,"Trips on MTA Bridges (out CBD)",null,null,null,null,{"$f":"J285","v":23.056282664449608},{"$f":"J289","v":21.903468531227126},1.1079395643205526E-3,1.2175160047478602E-3,0.05,{"$f":"K20*H20","v":1.0951734265613564},null,null,{"$f":"ROW()","v":20}]
[null,"T O T A L",null,null,null,null,{"$f":"SUM(G16:G20)","v":-769.2917881455013},{"$f":"SUM(H16:H20)","v":-638.54913378937033},-3.2299626339053873E-2,-3.5494094878081174E-2,null,{"$f":"SUM(L16:L20)","v":-369.57833415117034},{"$f":"L21*1000/$M$62","v":-3.8981331811968785E-2},null,{"$f":"ROW()","v":21}]
[null,"T O T A L without Trips on MTA Bridges",null,null,null,null,{"$f":"SUM(G16:G19)","v":-792.34807080995085},{"$f":"SUM(H16:H19)","v":-660.45260232059741},-3.3407565903374417E-2,-3.6711610882829031E-2,null,{"$f":"SUM(L16:L19)","v":-370.6735075777317},{"$f":"L22*1000/$M$62","v":-3.9096845398095229E-2},null,{"$f":"ROW()","v":22}]
[null,"VMT Changes Excluded from Above Figures ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"1. Fewer households owning cars (due to higher driving costs and lower transit fares), reducing \"casual\" driving associated with easy car availability. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"2. More cycling and walking. Though we estimate the increase in bicycling (in the Bicycles worksheet), we don't translate that into decreased driving.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"3. \"Ripple\" effects such as safety in numbers (increased cycling reduces its dangers, thus attracting more cycling).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"4. \"Tipping points\" such as lesser valorization of driving as driving becomes costlier and less common.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Sources for Figures in box above",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,{"$f":"CONCATENATE(\"Figures in column (1) are calculated below and are copied from Rows \",O259, \", \",O268, \", \",O243, \", \",O159, \" and \",O285, \", respectively.\")","v":"Figures in column (1) are calculated below and are copied from Rows 259, 268, 243, 159 and 285, respectively."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Figures in column (2) are copied from column (1) except change in VMT outside CBD prorates total change by fraction in Cell J \",O280, \" and change in VMT on MTA bridge trips is calc'd directly in Row \",O289, \".\")","v":"Figures in column (2) are copied from column (1) except change in VMT outside CBD prorates total change by fraction in Cell J 280 and change in VMT on MTA bridge trips is calc'd directly in Row 289."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,{"$f":"CONCATENATE(\"Figures in columns (3) and (4) are calculated by dividing column (2) figures by Cells E \",O58, \" and G\",O71, \", respectively.\")","v":"Figures in columns (3) and (4) are calculated by dividing column (2) figures by Cells E 58 and G71, respectively."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Figures in column (5) are Komanoff assumptions. Figures in column (6) are products of figures in columns (2) and (5).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,{"$f":"CONCATENATE(\"Cell M\",O21, \" is quotient of change in NYC streets VMT in Cell L\",O21, \" divided by total NYC street VMT in Cell M\",O62, \".\")","v":"Cell M21 is quotient of change in NYC streets VMT in Cell L21 divided by total NYC street VMT in Cell M62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,"VMT Changes: Summary Table 2 — NYC VMT Changes disaggregated between CBD and outside-CBD",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,"Manhattan Central Business District",null,"New York City, outside the Manhattan CBD",null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,"Annual VMT (000,000)","% All\nCBD VMT","Annual VMT (000,000)","% All NYC \nnon-CBD VMT",null,{"$f":"ROW()","v":39}]
[null,null,null,"Source of Change to VMT (Vehicle Miles Traveled)",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,"Cordon Pricing",null,null,null,null,null,{"$f":"H16","v":-68.919430945353952},{"$f":"J41/$L$83","v":-6.2565872817340329E-2},{"$f":"H17","v":-442.66221979226123},{"$f":"L41/$L$86","v":-2.3712351424048695E-2},null,{"$f":"ROW()","v":41}]
[null,null,null,"Change in Bus Usage (Weekdays + Weekends, CBD + non-CBD)",null,null,null,null,null,{"$f":"H43*H19","v":-1.4383104282608694},{"$f":"J42/$L$83","v":-1.3057151820910424E-3},{"$f":"(1-H43)*H19","v":-12.944793854347823},{"$f":"L42/$L$86","v":-6.9342150123001675E-4},null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,"Following share is assigned to CBD, w/ rest outside:",0.1,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,"Change in Subway Usage (Weekdays + Weekends, non-CBD only)*",null,null,null,null,null,0,{"$f":"J44/$L$83","v":0},{"$f":"H18","v":-134.48784730037357},{"$f":"L44/$L$86","v":-7.2041908138147561E-3},null,{"$f":"ROW()","v":44}]
[null,null,null,"T O T A L",null,null,null,null,null,{"$f":"SUM(J41:J44)","v":-70.357741373614815},{"$f":"J45/$L$83","v":-6.3871587999431365E-2},{"$f":"SUM(L41:L44)","v":-590.09486094698264},{"$f":"L45/$L$86","v":-3.1609963739093472E-2},null,{"$f":"ROW()","v":45}]
[null,null,null,"Sources for Figures in box above",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,{"$f":"CONCATENATE(\"VMT figures for Cordon Pricing are from Rows \",O16, \" and \",O17, \". Percentages divide those figures by respective VMT totals in Rows \",O83, \" and \",O86, \".\")","v":"VMT figures for Cordon Pricing are from Rows 16 and 17. Percentages divide those figures by respective VMT totals in Rows 83 and 86."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,{"$f":"CONCATENATE(\"Bus Usage figures multiply total bus change in Cell H\",O19, \" by est'd CBD/non-CBD shares in Cell H\",O43, \". %'s divide those figures by VMT totals in Rows \",O83, \" and \",O86, \".\")","v":"Bus Usage figures multiply total bus change in Cell H19 by est'd CBD/non-CBD shares in Cell H43. %'s divide those figures by VMT totals in Rows 83 and 86."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,{"$f":"CONCATENATE(\"Entire change in subway usage figure is from Cell H\",O18, \". Changes in subway usage that relate to CBD are subsumed in Cordon Pricing figures.\")","v":"Entire change in subway usage figure is from Cell H18. Changes in subway usage that relate to CBD are subsumed in Cordon Pricing figures."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"1. Baseline Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"A. NYC & Manhattan VMT, 2017 (NYMTC)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,"daily miles, weekdays","daily miles, weekends","Annual total (000)",null,"wkdy mi/d, freeways","wkdy mi/d, arterials","wkdy mi/d, local","wkdy mi/d (sum of 3 col)",null,"Arterial + local, % total","Annual arterial + local (000)",null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Bronx",{"$f":"J57","v":8859310},{"$f":"C57*Weekends!$V$154","v":7535028.7152603567},{"$f":"(C57*weekday_per_yr+D57*wkend_per_yr)/1000","v":3081355.8022549408},null,5480880,2055065,1323365,{"$f":"SUM(G57:I57)","v":8859310},null,{"$f":"1-G57/J57","v":0.38134233930181927},{"$f":"L57*E57","v":1175051.4298531332},null,{"$f":"ROW()","v":57}]
[null,"Brooklyn",{"$f":"J58","v":12397123},{"$f":"C58*Weekends!$V$154","v":10544012.772057261},{"$f":"(C58*weekday_per_yr+D58*wkend_per_yr)/1000","v":4311842.2187865851},null,5406054,4725109,2265960,{"$f":"SUM(G58:I58)","v":12397123},null,0.56392672719307535,{"$f":"L58*E58","v":2431563.0706132473},null,{"$f":"ROW()","v":58}]
[null,"Manhattan",{"$f":"J59","v":8804885},{"$f":"C59*Weekends!$V$154","v":7488739.1128163692},{"$f":"(C59*weekday_per_yr+D59*wkend_per_yr)/1000","v":3062426.2479738826},null,4303834,3734561,766490,{"$f":"SUM(G59:I59)","v":8804885},null,0.51119929448255141,{"$f":"L59*E59","v":1565510.1373690958},null,{"$f":"ROW()","v":59}]
[null,"Queens",{"$f":"J60","v":21083998},{"$f":"C60*Weekends!$V$154","v":17932381.908127375},{"$f":"(C60*weekday_per_yr+D60*wkend_per_yr)/1000","v":7333223.4194346489},null,12050545,6354922,2678531,{"$f":"SUM(G60:I60)","v":21083998},null,0.42845066670941634,{"$f":"L60*E60","v":3141924.4631858813},null,{"$f":"ROW()","v":60}]
[null,"Staten Is.",{"$f":"J61","v":5694789},{"$f":"C61*Weekends!$V$154","v":4843537.3231491856},{"$f":"(C61*weekday_per_yr+D61*wkend_per_yr)/1000","v":1980704.0421621564},null,2339920,2118478,1236391,{"$f":"SUM(G61:I61)","v":5694789},null,0.58911208123777725,{"$f":"L61*E61","v":1166856.6805942261},null,{"$f":"ROW()","v":61}]
[null,"Total",{"$f":"SUM(C55:C61)","v":56840105},{"$f":"SUM(D56:D61)","v":48343699.831410542},{"$f":"SUM(E56:E61)","v":19769551.730612215},null,{"$f":"SUM(G55:G61)","v":29581233},{"$f":"SUM(H55:H61)","v":18988135},{"$f":"SUM(I55:I61)","v":8270737},{"$f":"SUM(J55:J61)","v":56840105},null,0.47957110564802796,{"$f":"SUM(M57:M61)","v":9480905.7816155832},null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Weekday daily miles are from NYMTC 'Congestion Management Process Report, 2017', Tables 6.1 (Bronx), 6.4 (Brooklyn), 6.7 (Manhattan), 6.16 (Queens) \" & \"and 6.22 (Staten Island). Weekend daily miles multiply weekday values by weekday/weekend VMT ratio estimated in 'Weekends' tab and shown in Cell V\",Weekends!X154, \". Annual figures multiply dailies by respective numbers of weekdays and weekend-holidays in year, given in 'Constants' tab. Report is \" & \"downloadable via https://www.nymtc.org/Required-Planning-Products/Congestion-Management-Process/Congestion-Management-Status-Report.\")","v":"Weekday daily miles are from NYMTC 'Congestion Management Process Report, 2017', Tables 6.1 (Bronx), 6.4 (Brooklyn), 6.7 (Manhattan), 6.16 (Queens) and 6.22 (Staten Island). Weekend daily miles multiply weekday values by weekday/weekend VMT ratio estimated in 'Weekends' tab and shown in Cell V154. Annual figures multiply dailies by respective numbers of weekdays and weekend-holidays in year, given in 'Constants' tab. Report is downloadable via https://www.nymtc.org/Required-Planning-Products/Congestion-Management-Process/Congestion-Management-Status-Report."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Passenger vehicles' (autos') share of above VMT",null,null,null,null,{"$f":"75%+16%","v":0.91},null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Source: Schaller, \"City in Flux,\" 2007, p. 5, Fig. 4, which shows autos accounting for an estimated 75% of vehicle miles traveled in the five boroughs, and for-hire vehicles an additional 16%, in 2002\" (both referenced to \"NYMTC Best Practices Model data\").",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Auto VMT, NYC (millions, annual)",null,null,null,null,{"$f":"G67*E62/1000","v":17990.292074857116},null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"B. Central Business District VMT (weekdays)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Table at right reproduces Excel table, \"NY CBD BELOW 60 ST summary,\" provided by NYMTC on 1 Nov 2007. Each column represents a different time interval. Total gives avg CBD VMT on a typical weekday. Based on companion spreadsheets from NYMTC, Total would decline by ~15% if highways (e.g., FDR Drive, bridge/tunnel ramps, entrances, exits) were deducted.",null,null,null,null,null,"New York (Manhattan) CBD Below 60th St",null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,"2005 \"Build VMTs\" From NYBPM Run",null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,"AM","MD","PM","NT","TOTAL",null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,692372,1083228,875679,686751,{"$f":"K78+J78+I78+H78","v":3338030},null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"For comparison: Baseline cordon VMT estimated here (in Motor V's worksheet)",null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!N164","v":3236744.7183148847},{"$f":"CONCATENATE(\"Needs true-up w/ H\",'Motor Vs'!O122, \" from 'Motor Vs' tab.\")","v":"Needs true-up w/ H122 from 'Motor Vs' tab."},null,{"$f":"ROW()","v":80}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs', Row \",'Motor Vs'!O164, \".\")","v":"From 'Motor Vs', Row 164."},null,null,null,null,null,null,null,null,"Ratio:",{"$f":"L78/L80","v":1.0312923293307625},null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Annual CBD VMT (in millions of miles)",null,null,null,null,null,null,null,null,null,{"$f":"L78*Constants!J6/1000000","v":1101.5499},null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying Total from box in Row \",O78, \" by factor from 'Constants' worksheet denoting equivalent full weekdays in a year.\")","v":"Calculated by multiplying Total from box in Row 78 by factor from 'Constants' worksheet denoting equivalent full weekdays in a year."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Annual non-CBD NYC VMT (in millions of miles)",null,null,null,null,null,null,null,null,null,{"$f":"E62/1000-L83","v":18668.001830612215},null,null,{"$f":"ROW()","v":86}]
[null,{"$f":"CONCATENATE(\"Difference between Box in Row \",O83, \" and figure in Cell E\",O62, \".\")","v":"Difference between Box in Row 83 and figure in Cell E62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"C. CBD VMT broken down between trips entering CBD and other trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,"This section presents a reality check: the final item, % Other CBD VMT, should probably be between one-fifth and one-fourth.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Daily VMT within CBD, all trips ",null,null,null,null,null,{"$f":"L78","v":3338030},"From NYMTC table directly above",null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Daily auto trips into CBD (incl. medallion taxis, excl. bus/truck)",null,null,null,null,null,{"$f":"'Motor Vs'!I35","v":669600},{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O35, \".\")","v":"From 'Motor Vs' worksheet, Row 35."},null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Assumed miles that each such trip travels within CBD (one way)",null,null,null,null,null,{"$f":"SUMPRODUCT('Motor Vs'!I85:L85,'Motor Vs'!I99:L99)/'Motor Vs'!H85","v":1.1259373981089011},"Wghtd avg of miles for applicable trips, in Motor Vs worksheet.",null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Daily VMT within CBD from auto trips into charging zone",null,null,null,null,null,{"$f":"H93*H94*2","v":1507855.3635474404},"Product of two previous figures x 2 (to count inbound + outbound).",null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"% of CBD VMT accounted for by auto trips crossing into CBD",null,null,null,null,null,{"$f":"H95/H92","v":0.45172013539346273},"Ratio of previous VMT to VMT at top of this stack",null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"% Other CBD VMT (trucks, buses, taxi circulation, non-cordon-crossing autos)",null,null,null,null,null,{"$f":"1-H96","v":0.54827986460653722},"One, minus previous percentage",null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,"mph reciprocal","cross-products",null,null,null,null,{"$f":"ROW()","v":98}]
[null,"D. Speed Data for weekdays 6 a.m. - 6 p.m., mph (from PlaNYC)",null,null,null,null,"mph","% of VMT",null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Manhattan South of 86th Street",null,null,null,null,8,"NA",null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Brooklyn",null,null,null,null,14,0.3,{"$f":"1/G101","v":7.1428571428571425E-2},{"$f":"H101*I101","v":2.1428571428571425E-2},null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Other Manhattan + Queens",null,null,null,null,17,0.25,5.8823529411764705E-2,1.4705882352941176E-2,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Staten Island",null,null,null,null,20,0.03,0.05,1.5E-3,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Bronx",null,null,null,null,22,0.1,4.5454545454545456E-2,4.5454545454545461E-3,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"New Jersey + Long Island",null,null,null,null,23,0.2,4.3478260869565216E-2,8.6956521739130436E-3,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Westchester + Connecticut",null,null,null,null,30,0.12,3.3333333333333333E-2,4.0000000000000001E-3,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Totals (excluding Manhattan South of 86th St.)",null,null,null,null,{"$f":"1/SUMPRODUCT(H101:H106,I101:I106)","v":18.223048491394639},{"$f":"SUM(H101:H106)","v":1},null,{"$f":"SUM(J101:J106)","v":5.4875560500880188E-2},null,null,null,null,{"$f":"ROW()","v":107}]
[null,"MPH: \"NYC Mobility Needs Assessment, 2007-2030,\" Figure 5.10.9 - Average Daily Speed at 2007 Baseline (without Congestion Pricing), p. 147. VMT breakdowns: Komanoff ests. MPH Total (Avg): calculated as harmonic mean of weighted mph's (thus, the need for mph reciprocals).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"2. VMT Changes from Cordon Fee and Transit Policies Inputted into this Model)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"A. Change in Auto Trips due to New Bus Trips (citywide)",null,null,null,null,null,null,null,null,"Annual (000,000)",null,null,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,null,null,"Daily",null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Annual change in bus trips due to reduced fare + faster and better service",null,null,null,null,null,null,null,null,{"$f":"Buses!H135","v":7.8243465693836178},null,null,null,{"$f":"ROW()","v":116}]
[null,{"$f":"CONCATENATE(\"From 'Buses' worksheet, Row \",Buses!O135, \".\")","v":"From 'Buses' worksheet, Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"A1. Weekday Changes in Auto Trips and VMT due to Changes in Bus Trips shown directly above",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Trips",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Ratio of Annual Bus Ridership to Average Weekday Ridership (from Buses, Section 5)",null,null,null,null,null,null,null,{"$f":"Buses!J199","v":313.21338279297277},null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Change in wkday bus trips ",null,{"$f":"CONCATENATE(\"Daily fig. = 'Annual fig. in Row \",$O$116, \" div. by year/day ratio in Row \",O122, \". Annual fig. multiplies that by weekdays in year.\")","v":"Daily fig. = 'Annual fig. in Row 116 div. by year/day ratio in Row 122. Annual fig. multiplies that by weekdays in year."},null,null,null,null,null,{"$f":"ROUND($K$116*1000000/J122,-3)","v":25000},{"$f":"J123*wkday_per_yr/1000000","v":6.25},null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,"Work","Non-work","Total",null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Split these bus trips betw work and non-work (baseline proportions in Buses)",null,null,null,null,null,{"$f":"Buses!H61","v":0.4},{"$f":"Buses!I61","v":0.6},null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Split change in weekday bus trips above (per above proportions)",null,null,null,null,null,{"$f":"H125*$J$123","v":10000},{"$f":"I125*$J$123","v":15000},null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Cross-elasticities (Change in Auto Volume per Change in Transit Volume)",null,null,null,null,null,{"$f":"ROUND((2*Elasticities!F120),1)/2","v":0.95},{"$f":"ROUND((2*Elasticities!G120),1)/2","v":0.5},null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Calculated as means of respective cross-elasticities due to changes in transit time and price, in Elasticities worksheet (rounded to 5%). We use the unmodified TSRPC cross-elasticities, since split of auto into private vs. taxi is not of concern for calculating VMT.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Change in auto trips (persons) (x-elasticities times resp. changes in work/non-work)",null,null,null,null,null,{"$f":"-H126*H127","v":-9500},{"$f":"-I126*I127","v":-7500},{"$f":"H130+I130","v":-17000},{"$f":"J130*wkday_per_yr/1000000","v":-4.25},null,null,null,{"$f":"ROW()","v":130}]
[null,"Change in auto trips (vehicles) (preceding figs div. by auto occupancies from H.I.S. tab)",null,null,null,null,null,{"$f":"H130/H.I.S.!G$125","v":-8260.8695652173919},{"$f":"I130/H.I.S.!H$125","v":-5000},{"$f":"H131+I131","v":-13260.869565217392},{"$f":"J131*wkday_per_yr/1000000","v":-3.3152173913043481},null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Miles per auto trip that switch to bus",null,null,null,null,null,null,null,{"$f":"Transit!I301","v":3.63},null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Komanoff calculated mean of 3.63 miles for average one-way bus commute in his analysis of Schaller data in 'Rolling Carbon' project for Transportation Alternatives, 2007. Average here could be higher since auto trips (which are switching to bus in this section) average almost 2x length of bus trip (Ibid.); but it could also be shorter, since average shown is for work trips, which almost certainly are longer. We assume the two influences are offsetting. Note that same figure appears in Transit worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Change in average citywide weekday auto miles due to change in bus trips",null,null,null,null,null,null,null,{"$f":"J131*J134","v":-48136.956521739128},{"$f":"J139*wkday_per_yr/1000000","v":-12.034239130434781},null,null,null,{"$f":"ROW()","v":139}]
[null,{"$f":"CONCATENATE(\"Calculated as product of Row \",O131, \" daily or yearly trip figures and miles-per-trip figure in Row \",O134, \".\")","v":"Calculated as product of Row 131 daily or yearly trip figures and miles-per-trip figure in Row 134."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"A2. Weekend Changes in Auto Trips and VMT due to Changes in Bus Trips shown directly above",null,null,null,null,null,null,null,null,"Annual (000,000)",null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Trips",null,null,null,null,null,null,null,"Daily",null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Ratio of Annual Bus Ridership to Average Weekend Ridership (from Buses, Section 5)",null,null,null,null,null,null,null,{"$f":"Buses!J201","v":582.46416826255677},null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Change in wkend bus trips ",null,{"$f":"CONCATENATE(\"Daily fig. = 'Annual fig. in Row \",$O$116, \" div. by year/day ratio in Row \",O145, \". Annual fig. multiplies that by wknd days in yr.\")","v":"Daily fig. = 'Annual fig. in Row 116 div. by year/day ratio in Row 145. Annual fig. multiplies that by wknd days in yr."},null,null,null,null,null,{"$f":"ROUND($K$116*1000000/J145,-3)","v":13000},{"$f":"J146*Constants!$J$26/1000000","v":1.4950000000000001},null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,"Work","Non-work","Total",null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Split bus trips betw work and non-work (baseline proportions in Buses)",null,null,null,null,null,0.2,{"$f":"1-H148","v":0.8},null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Split change in weekend bus trips above (per above proportions)",null,null,null,null,null,{"$f":"H148*$J$146","v":2600},{"$f":"I148*$J$146","v":10400},null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Cross-elasticities (Change in Auto Volume per Change in Transit Volume; same as above)",null,null,null,null,null,{"$f":"H127","v":0.95},{"$f":"I127","v":0.5},null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Change in auto trips (persons) (x-elasticities times resp. changes in work/non-work)",null,null,null,null,null,{"$f":"-H149*H150","v":-2470},{"$f":"-I149*I150","v":-5200},{"$f":"H151+I151","v":-7670},{"$f":"J151*((Constants!$J$20-wkday_per_yr)/1000000)","v":-0.88396750000000002},null,null,null,{"$f":"ROW()","v":151}]
[null,"Change in auto trips (vehicles) (preceding figures div. by auto occupancies from H.I.S. tab)",null,null,null,null,null,{"$f":"H151/H.I.S.!G$125","v":-2147.826086956522},{"$f":"I151/H.I.S.!H$125","v":-3466.6666666666665},{"$f":"H152+I152","v":-5614.492753623188},{"$f":"J152*((Constants!$J$20-wkday_per_yr)/1000000)","v":-0.64707028985507242},null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Miles per auto trip that switch to bus (as noted directly above)",null,null,null,null,null,null,null,{"$f":"J134","v":3.63},null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Change in average citywide weekend auto miles due to increase in bus trips",null,null,null,null,null,null,null,{"$f":"J152*J155","v":-20380.608695652172},{"$f":"J156*((Constants!$J$20-wkday_per_yr)/1000000)","v":-2.3488651521739126},null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,null,null,null,null,null,null,null,null,null,"(000,000)",null,null,null,{"$f":"ROW()","v":158}]
[null,"Change in Auto VMT due to Changes in Bus Trips, Weekdays and Weekends Combined",null,null,null,null,null,null,null,null,{"$f":"K139+K156","v":-14.383104282608693},null,null,null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O139, \" and \",O156, \".\")","v":"Sum of Rows 139 and 156."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"As percentage of Citywide VMT, all vehicles",null,null,null,null,null,null,null,null,{"$f":"$K$159*1000/$E$62","v":-7.2753821020317508E-4},null,null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Ratio of Auto VMT change in Row \",O159, \" to baseline citywide VMT in Row \",O62, \".\")","v":"Ratio of Auto VMT change in Row 159 to baseline citywide VMT in Row 62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"As percentage of Citywide VMT, autos only ",null,null,null,null,null,null,null,null,{"$f":"$K$159/$G71","v":-7.9949253868480776E-4},null,null,null,{"$f":"ROW()","v":163}]
[null,{"$f":"CONCATENATE(\"Ratio of Auto VMT change in Row \",O159, \" to baseline auto citywide VMT in Row \",$O$71, \".\")","v":"Ratio of Auto VMT change in Row 159 to baseline auto citywide VMT in Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"B. Change in Auto Trips due to New Subway Trips That Don't Relate to Manhattan CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"VMT impacts from weekday and weekend CBD-related subway trips have been est'd in Subways worksheet and \"handed off\" to Motor Vs and Motor Vs Weekends worksheets. They are reflected in Part C of this worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"B1. Weekday Changes in Auto Trips and VMT due to Changes in non-CBD Subway Trips",null,null,null,null,null,null,null,null,"Annual (000,000)",null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,"Daily",null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Basic Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"CBD subway trips (inbound + unbound + intra) as % of subway trips (weekdays)",null,null,null,null,null,null,null,{"$f":"Subways!$N$41","v":0.76760669755207322},null,null,null,null,{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Taken directly from Subways worksheet, Row \",Subways!O41, \".\")","v":"Taken directly from Subways worksheet, Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Percent of subway trips that don't relate to CBD (weekdays)",null,null,null,null,null,null,null,{"$f":"1-J175","v":0.23239330244792678},null,null,null,null,{"$f":"ROW()","v":177}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O175, \".\")","v":"Complement of Row 175."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Weekday Subway Trips That Don't Relate to CBD (2016)",null,null,null,null,null,null,null,{"$f":"J177*Subways!J36","v":1314359.5822863742},null,null,null,null,{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Product of percent in Row \",O177, \" and average weekday subway rides in 'Subways' worksheet, Row \",Subways!O36, \".\")","v":"Product of percent in Row 177 and average weekday subway rides in 'Subways' worksheet, Row 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Average Increase in Weekday Subway Fare due to Pricing, expressed as a multiple",null,null,null,null,null,null,null,{"$f":"Subways!N531","v":0.99740500614496197},null,null,null,null,{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Derived in 'Subways' worksheet and shown there in Row \",Subways!O531, \".\")","v":"Derived in 'Subways' worksheet and shown there in Row 531."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Average Reduction in Subway Trip Duration due to Subway Investments, expressed as a multiple",null,null,null,null,null,null,null,{"$f":"-Subways!$L$184","v":0.10990356711003627},null,null,null,null,{"$f":"ROW()","v":183}]
[null,{"$f":"CONCATENATE(\"Derived in 'Subways' worksheet, Row \",Subways!O184, \", as sum of impacts from (i) capital investment and (ii) operational expenditures.\")","v":"Derived in 'Subways' worksheet, Row 184, as sum of impacts from (i) capital investment and (ii) operational expenditures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Trips",null,null,null,null,null,"Work","Non-work","Total",null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Split subway trips betw work and non-work (baseline proportions in subways)",null,null,null,null,null,{"$f":"Subways!K24","v":0.6},{"$f":"Subways!L24","v":0.4},null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Split, Weekday Subway Trips That Don't Relate to CBD",null,null,null,null,null,{"$f":"H187*$J$179","v":788615.74937182444},{"$f":"I187*$J$179","v":525743.83291454974},{"$f":"H188+I188","v":1314359.5822863742},null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Factor for such Subway Trips due to Price Change",null,null,null,null,null,{"$f":"$J181^Elasticities!G64","v":1.0002338803476507},{"$f":"$J181^Elasticities!H64","v":1.000608202685249},null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,{"$f":"CONCATENATE(\"Applies standard elasticity exponentiation from transit price-elasticities in 'Elasticity' worksheet, to factor in Row \",O181, \".\")","v":"Applies standard elasticity exponentiation from transit price-elasticities in 'Elasticity' worksheet, to factor in Row 181."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Factor for such Subway Trips due to Trip Duration Change",null,null,null,null,null,{"$f":"(1-$J183)^Elasticities!G65","v":1.0599404584597247},{"$f":"(1-$J183)^Elasticities!H65","v":1.0661286559119614},null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Combined Factor for Price and Duration Changes",null,null,null,null,null,{"$f":"H189*H191","v":1.0601883577026383},{"$f":"I189*I191","v":1.0667770782233079},null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O189, \" and \",O191, \".\")","v":"Product of Rows 189 and 191."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Change in non-CBD Transit Trips",null,null,null,null,null,{"$f":"(H192-1)*H188","v":47465.486813125528},{"$f":"(I192-1)*I188","v":35107.637055956613},{"$f":"H194+I194","v":82573.123869082134},null,null,null,null,{"$f":"ROW()","v":194}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O188, \" and complement of Row \",O192, \".\")","v":"Product of Row 188 and complement of Row 192."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Cross-elasticities (Change in Auto Volume per Change in Transit Volume; same as above)",null,null,null,null,null,{"$f":"H127","v":0.95},{"$f":"I127","v":0.5},null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Change in auto trips (persons) (x-elasticities times resp. changes in work/non-work)",null,null,null,null,null,{"$f":"-H196*H194","v":-45092.212472469248},{"$f":"-I196*I194","v":-17553.818527978307},{"$f":"H197+I197","v":-62646.031000447554},{"$f":"J197*wkday_per_yr/1000000","v":-15.661507750111889},null,null,null,{"$f":"ROW()","v":197}]
[null,"Change in auto trips (vehicles) (preceding figures div. by auto occupancies)",null,null,null,null,null,{"$f":"H197/H.I.S.!G$125","v":-39210.619541277607},{"$f":"I197/H.I.S.!H$125","v":-11702.545685318872},{"$f":"H198+I198","v":-50913.16522659648},{"$f":"J198*wkday_per_yr/1000000","v":-12.728291306649121},null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Miles per auto trip that switch to subway",null,null,null,null,null,null,null,{"$f":"Transit!J301","v":7.7750000000000004},null,null,null,null,{"$f":"ROW()","v":201}]
[null,{"$f":"CONCATENATE(\"From 'Transit' tab, Row \",Transit!O301, \". Mean value for average one-way subway commute, calculated by Komanoff in his analysis of Schaller data as described (w/ cautionary note) in Row \",O135, \".\")","v":"From 'Transit' tab, Row 301. Mean value for average one-way subway commute, calculated by Komanoff in his analysis of Schaller data as described (w/ cautionary note) in Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,"Change in avg citywide weekday auto miles due to change in weekday subway trips unrelated to CBD",null,null,null,null,null,null,null,{"$f":"J198*J201","v":-395849.85963678767},{"$f":"J204*wkday_per_yr/1000000","v":-98.96246490919691},null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,"B1. Weekend Changes in Auto Trips and VMT due to Changes in non-CBD Subway Trips",null,null,null,null,null,null,null,null,"Annual (000,000)",null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,"Daily",null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Basic Data",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"CBD subway trips (inbound + unbound + intra) as % of subway trips (weekends)",null,null,null,null,null,null,null,{"$f":"Subways!$N$41","v":0.76760669755207322},null,null,null,null,{"$f":"ROW()","v":210}]
[null,{"$f":"CONCATENATE(\"Taken directly from Subways worksheet, Row \",Subways!O41, \".\")","v":"Taken directly from Subways worksheet, Row 41."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Percent of subway trips that don't relate to CBD (weekends)",null,null,null,null,null,null,null,{"$f":"1-J210","v":0.23239330244792678},null,null,null,null,{"$f":"ROW()","v":212}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O210, \".\")","v":"Complement of Row 210."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Weekend Subway Trips That Don't Relate to CBD",null,null,null,null,null,null,null,{"$f":"J212*Subways!M36","v":664985.80400375673},null,null,null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Product of percent in Row \",O212, \" and average weekend subway rides in 'Subways' worksheet, Row \",Subways!O36, \".\")","v":"Product of percent in Row 212 and average weekend subway rides in 'Subways' worksheet, Row 36."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Change in Weekend Subway Fare due to Pricing, expressed as a factor",null,null,null,null,null,null,null,{"$f":"Subways!R517/Subways!R513","v":1.000000061955808},null,null,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Derived in 'Subways' worksheet and shown there in Row \",Subways!O531, \".\")","v":"Derived in 'Subways' worksheet and shown there in Row 531."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Average Change in Subway Trip Duration due to Subway Investments, expressed as a multiple",null,null,null,null,null,null,null,{"$f":"Subways!L184","v":-0.10990356711003627},null,null,null,null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"Derived in 'Subways' worksheet and shown there in Cell L\",Subways!O184, \".\")","v":"Derived in 'Subways' worksheet and shown there in Cell L184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Trips",null,null,null,null,null,"Work","Non-work","Total",null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Split subway trips betw work and non-work (baseline proportions in subways)",null,null,null,null,null,{"$f":"Subways!R447","v":0.2},{"$f":"1-H222","v":0.8},null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Specified in 'Subways' worksheet and shown there in Row \",Subways!O447, \".\")","v":"Specified in 'Subways' worksheet and shown there in Row 447."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Split, Weekend Subway Trips That Don't Relate to CBD",null,null,null,null,null,{"$f":"H222*$J$214","v":132997.16080075136},{"$f":"I222*$J$214","v":531988.64320300543},{"$f":"H224+I224","v":664985.80400375673},null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Factor for such Subway Trips due to Price Change",null,null,null,null,null,{"$f":"IF($J216=0,1-Elasticities!$G64,$J216^Elasticities!G64)","v":0.99999999442397747},{"$f":"IF($J216=0,1-Elasticities!$G64,$J216^Elasticities!H64)","v":0.99999998550234159},null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,{"$f":"CONCATENATE(\"Applies standard elasticity exponentiation from transit price-elasticities in 'Elasticity' worksheet, to factor in Row \",O216, \".\")","v":"Applies standard elasticity exponentiation from transit price-elasticities in 'Elasticity' worksheet, to factor in Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Factor for such Subway Trips due to Trip Duration Change",null,null,null,null,null,{"$f":"(1+$J218)^Elasticities!G65","v":1.0599404584597247},{"$f":"(1+$J218)^Elasticities!H65","v":1.0661286559119614},null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Combined Factor for Price and Duration Changes",null,null,null,null,null,{"$f":"H225*H227","v":1.0599404525494729},{"$f":"I225*I227","v":1.0661286404555923},null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O225, \" and \",O227, \".\")","v":"Product of Rows 225 and 227."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Change in non-CBD Transit Trips",null,null,null,null,null,{"$f":"(H228-1)*H224","v":7971.9100061920526},{"$f":"(I228-1)*I224","v":35179.685712829923},{"$f":"H230+I230","v":43151.595719021978},null,null,null,null,{"$f":"ROW()","v":230}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O224, \" and complement of Row \",O228, \".\")","v":"Product of Row 224 and complement of Row 228."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Cross-elasticities (Change in Auto Volume per Change in Transit Volume; same as above)",null,null,null,null,null,{"$f":"H127","v":0.95},{"$f":"I127","v":0.5},null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"Change in auto trips (persons) (x-elasticities times resp. changes in work/non-work)",null,null,null,null,null,{"$f":"-H232*H230","v":-7573.3145058824493},{"$f":"-I232*I230","v":-17589.842856414962},{"$f":"H233+I233","v":-25163.15736229741},{"$f":"J233*wkday_per_yr/1000000","v":-6.290789340574352},null,null,null,{"$f":"ROW()","v":233}]
[null,"Change in auto trips (vehicles) (preceding figures div. by auto occupancies)",null,null,null,null,null,{"$f":"H233/H.I.S.!G$125","v":-6585.4908746803912},{"$f":"I233/H.I.S.!H$125","v":-11726.561904276641},{"$f":"H234+I234","v":-18312.052778957033},{"$f":"J234*wkday_per_yr/1000000","v":-4.5780131947392579},null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"VMT",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,"Miles per auto trip that switch to subway",null,null,null,null,null,null,null,7.76,null,null,null,null,{"$f":"ROW()","v":237}]
[null,{"$f":"CONCATENATE(\"From mean of 7.76 miles for average one-way subway commute, calculated by Komanoff in his analysis of Schaller data as described (w/ cautionary note) in Row \",O143, \".\")","v":"From mean of 7.76 miles for average one-way subway commute, calculated by Komanoff in his analysis of Schaller data as described (w/ cautionary note) in Row 143."},null,null,null,null,null,null,null,null,"Annual (000,000)",null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,"Daily",null,null,null,null,{"$f":"ROW()","v":239}]
[null,"Change in avg citywide weekend auto miles due to change in weekend subway trips unrelated to CBD",null,null,null,null,null,null,null,{"$f":"J234*J237","v":-142101.52956470658},{"$f":"J240*wkday_per_yr/1000000","v":-35.525382391176649},null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,"(000,000)",null,null,null,{"$f":"ROW()","v":242}]
[null,"Change in Auto VMT due to Changes in Subway Trips, Weekdays + Weekends Combined (non-CBD trips only)",null,null,null,null,null,null,null,null,{"$f":"K204+K240","v":-134.48784730037357},null,null,null,{"$f":"ROW()","v":243}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O204, \" and \",O240, \".\")","v":"Sum of Rows 204 and 240."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"As percentage of Citywide VMT, all vehicles",null,null,null,null,null,null,null,null,{"$f":"$K$243*1000/$E$62","v":-6.8027767717224212E-3},null,null,null,{"$f":"ROW()","v":245}]
[null,{"$f":"CONCATENATE(\"Ratio of Auto VMT change in Row \",O243, \" to baseline citywide VMT in Row \",O62, \".\")","v":"Ratio of Auto VMT change in Row 243 to baseline citywide VMT in Row 62."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"As percentage of Citywide VMT, autos only ",null,null,null,null,null,null,null,null,{"$f":"$K$243/$G71","v":-7.4755788700246392E-3},null,null,null,{"$f":"ROW()","v":247}]
[null,{"$f":"CONCATENATE(\"Ratio of Auto VMT change in Row \",O243, \" to baseline auto citywide VMT in Row \",$O$71, \".\")","v":"Ratio of Auto VMT change in Row 243 to baseline auto citywide VMT in Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"C. Estimation of Change in Motor Vehicle Trips due to Cordon Pricing",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"1. Within Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,null,null,null,"Weekday",null,"Weekend",null,"Combined",null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,null,null,null,"Daily","Annual, 000","Daily","Annual, 000","Daily","Annual, 000",null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Baseline",null,null,{"$f":"'Motor Vs'!$N164","v":3236744.7183148847},{"$f":"E255*wkday_per_yr/1000000","v":809.18617957872118},{"$f":"'Motor Vs Weekends'!$N164","v":3063931.0467594313},{"$f":"G255*Constants!$J$26/1000000","v":352.3520703773346},null,{"$f":"F255+H255","v":1161.5382499560558},null,null,null,null,{"$f":"ROW()","v":255}]
[null,{"$f":"CONCATENATE(\"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row \",'Motor Vs'!O164, \". Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures.\")","v":"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row 164. Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"With Pricing",null,null,{"$f":"'Motor Vs'!$N968","v":3022241.408114803},{"$f":"E257*wkday_per_yr/1000000","v":755.56035202870066},{"$f":"'Motor Vs Weekends'!$N968","v":2930943.1911478369},{"$f":"G257*Constants!$J$26/1000000","v":337.05846698200122},null,{"$f":"F257+H257","v":1092.6188190107018},null,null,null,null,{"$f":"ROW()","v":257}]
[null,{"$f":"CONCATENATE(\"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row \",'Motor Vs'!O968, \". Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures.\")","v":"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row 968. Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Change",null,null,{"$f":"E257-E255","v":-214503.31020008167},{"$f":"E259*wkday_per_yr/1000000","v":-53.625827550020418},{"$f":"G257-G255","v":-132987.85561159439},{"$f":"G259*wkend_per_yr/1000000","v":-15.293603395333355},null,{"$f":"F259+H259","v":-68.919430945353767},null,null,null,null,{"$f":"ROW()","v":259}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,"2. Outside Cordon",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,null,null,null,"Weekday",null,"Weekend",null,"Combined",null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,null,null,null,"Daily","Annual, 000","Daily","Annual, 000","Daily","Annual, 000",null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Baseline",null,null,{"$f":"'Motor Vs'!$N184","v":57783200.546786129},{"$f":"E264*wkday_per_yr/1000000","v":14445.800136696533},{"$f":"'Motor Vs Weekends'!$N184","v":49285901.282967642},{"$f":"G264*Constants!$J$26/1000000","v":5667.878647541279},null,{"$f":"F264+H264","v":20113.678784237811},null,null,null,null,{"$f":"ROW()","v":264}]
[null,{"$f":"CONCATENATE(\"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row \",'Motor Vs'!O184, \". Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures.\")","v":"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row 184. Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"With Pricing",null,null,{"$f":"'Motor Vs'!$N1000","v":55968150.815138966},{"$f":"E266*wkday_per_yr/1000000","v":13992.037703784743},{"$f":"'Motor Vs Weekends'!$N1000","v":48235507.758012623},{"$f":"G266*Constants!$J$26/1000000","v":5547.0833921714511},null,{"$f":"F266+H266","v":19539.121095956194},null,null,null,null,{"$f":"ROW()","v":266}]
[null,{"$f":"CONCATENATE(\"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row \",'Motor Vs'!O1000, \". Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures.\")","v":"Daily figures are from 'Motor Vs' and 'Motor Vs Weekends' worksheets, Row 1000. Annual figures draw on 'Constants' worksheet. Combined figure sums prior two annual figures."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Change",null,null,{"$f":"E266-E264","v":-1815049.7316471636},{"$f":"E268*wkday_per_yr/1000000","v":-453.76243291179088},{"$f":"G266-G264","v":-1050393.5249550194},{"$f":"G268*wkend_per_yr/1000000","v":-120.79525536982723},null,{"$f":"F268+H268","v":-574.55768828161808},null,null,null,null,{"$f":"ROW()","v":268}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"3. Adjust \"Outside Cordon\" VMT (Section C2 immediately above) to reflect only VMT occurring within New York City",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"Percent of cordon-bound vehicle trips made by NYC residents (pertains to \"into\" + \"thru\" CBD trips alike)",null,null,null,null,null,null,null,{"$f":"Incidence!L209/Incidence!X209","v":0.56813330103355397},null,null,null,null,{"$f":"ROW()","v":272}]
[null,"From Incidence worksheet, Part C. Note: a column referenced by this cell may be hidden (to make column summations easier).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"Percent of VMT occurring within city limits, for cordon-bound vehicle trips made by NYC residents ",null,null,null,null,null,null,null,0.9,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Komanoff assumption. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Percent of cordon-bound vehicle trips made by non-NYC residents",null,null,null,null,null,null,null,{"$f":"1-J272","v":0.43186669896644603},null,null,null,null,{"$f":"ROW()","v":276}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O272, \".\")","v":"Complement of Row 272."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Percent of VMT occurring within city limits, for cordon-bound vehicle trips made by non-NYC residents ",null,null,null,null,null,null,null,0.6,null,null,null,null,{"$f":"ROW()","v":278}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption; intended to reflect average one-way non-cordon distance for CBD auto-commute trips of \",ROUND(Distances!C184,1), \" miles, derived in 'Distances' tab, Row \",Distances!O184, \".\")","v":"Komanoff assumption; intended to reflect average one-way non-cordon distance for CBD auto-commute trips of 16.9 miles, derived in 'Distances' tab, Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"Percent of outside-cordon VMT in all cordon-bound vehicle trips that occurs within the city limits",null,null,null,null,null,null,null,{"$f":"J272*J274+J276*J278","v":0.77043999031006616},null,null,null,null,{"$f":"ROW()","v":280}]
[null,{"$f":"CONCATENATE(\"Sum of applicable cross-products in Rows \",O272, \"-\",O278, \".\")","v":"Sum of applicable cross-products in Rows 272-278."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"D. Estimation of VMT Increase resulting from Discounted Tolls on MTA Bridges",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,"Total increase in VMT, millions/year",null,null,null,null,null,null,null,{"$f":"'MTA Crossings'!R315","v":23.056282664449608},null,null,null,null,{"$f":"ROW()","v":285}]
[null,{"$f":"CONCATENATE(\"Derived in 'MTA Crossings' tab, Row \",'MTA Crossings'!AL315, \".\")","v":"Derived in 'MTA Crossings' tab, Row 315."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"Estimated percent of VMT increase that occurs within the city limits",null,null,null,null,null,null,null,0.95,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"Komanoff assumption. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,"Increase in VMT w/i NYC, millions/year",null,null,null,null,null,null,null,{"$f":"J285*J287","v":21.903468531227126},null,null,null,null,{"$f":"ROW()","v":289}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O285, \" and \",O287, \".\")","v":"Product of Rows 285 and 287."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":290}]

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[null,"Elasticities",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
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[null,"Click here to skip introductory discussion and go straight to the elasticity values employed in the BTA.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"A. Price-elasticity (and other elasticities): definitions and roles in the BTA",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Price-elasticity refers to the extent to which demand for a product or service or commodity changes as a result of changes in price. An item is considered price-elastic if price swings evoke wider swings in demand — and inelastic if they don’t. Mathematically, price-elasticity is the percentage change in demand or usage associated with a one percent change in the price.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
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[null,"Price-elasticities play a major role in the BTA. They underlie the algorithms and formulas that predict (or calculate) changes in auto use and transit ridership in response to implementing congestion pricing and (in some scenarios) changes in transit fares.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
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[null,"Time-elasticity: Also important in the BTA are time-elasticities — the percentage change in demand or usage associated with a one percent change in the travel time required for a trip. Time-elasticities determine the \"rebound effect\" by which new trips materialize (or current trips initially \"priced off\" the roads re-materialize) to take advantage of improved travel times. They also underlie the method by which the BTA predicts changes in bus ridership in response to elimination of time-consuming fare payment, as well as changes in subway usage in response to service cuts or, conversely, enhancements.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Time-switching elasticity: This relates drivers' propensity to switch their time of travel to capture monetary savings that result from the switch. See Time Switching worksheet for sources and details.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Cross-elasticity: This expresses the rate at which trips that are stripped from one mode (e.g., auto) due to increased price or duration reappear in another mode (e.g., transit).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"B. Elasticity values used in the BTA",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
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[null,"Some of the elasticity values employed in the BTA were informed (influenced) by a 1977 report by the Tri-State Regional Planning Commission (TSRPC), \"Short Term Effects of Transportation Policy Changes on Auto and Transit Ridership\" (Interim Technical Report 5303; not Web-available). ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"The TSRPC report compiled and distilled the available literature into estimates of elasticities for transit and auto modes in NYC. It is thoughtful, professional and credible. To be sure, it is also 3-4 decades removed from the present. However, elasticities are relative measures (percentage changes in parameter Y relative to percentage changes in parameter X), and there is no a priori reason to expect that these relationships should have changed over time. Moreover, the most important elasticities in our model -- pertaining to the price-elasticity of driving -- are \"backstopped\" by more recent studies, as discussed further below. A further backstopping arises from the rebound effect noted above, which effectively treats the impact of tolls on traffic as a pendulum rather than a push in one direction; the greater the first swing of the pendulum, the greater the rebound.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Nevertheless, we have attenuated (reduced) somewhat several key elasticity values from the TSRPC report, for auto trips:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"• The TSRPC report's automobile non-work-trip time-elasticity of minus 124% has been replaced here by a value of minus 100%.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"• The report's automobile work-trip price-elasticity of minus 90% has been replaced here by a value of minus 60%.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"• The report's automobile non-work-trip price-elasticity of minus 50% has been replaced here by a value of minus 40%.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"The TSRPC report did not treat for-hire vehicles, which are a major mode of travel in the Manhattan CBD. For medallion taxi usage price-elasticity, we previously relied on an estimate of -0.22 by taxi expert Bruce Schaller, which we have raised to -0.30 on the premise that NYC and especially CBD transit alternatives (along with bike-share) are better than in the late 1990s when he propounded that figure. We set the time-elasticity for FHV's at less than that for private autos, on the premise that FHV use is motivated by amenity (especially privacy) as much as time.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Direct Elasticities ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
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[null,"Following are the \"direct\" elasticity figures used in the BTA, along with their sources.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Each figure denotes the percent change in the first (\"dependent\") variable per 100% change in the second (\"independent\") variable, with the essential caveat that percent changes in the dependent variable are calculated exponentially, not linearly.\n\n",null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"This text box helps explicate elasticities in Rows \",O66, \" - \",O67, \".\")","v":"This text box helps explicate elasticities in Rows 66 - 67."},null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,{"$f":"CONCATENATE(\"As an example, consider a 20% increase in the travel cost (price) of work trips. From Cell G\",O66, \", we see that work trips are assumed to have a price-elasticity of \",G66, \" (shown as \",100*G66, \".0%). The effect of the 20% price increase is calculated by taking 1.2 (the 'factor' or 'multiple' corresponding to a 20% price increase), and raising it to the \",G66, \" power. The result, \",ROUND(1.2^G66,2), \", indicates a 7% decrease in the number of work trips -- rather than the \",-100*20%*G66, \"% reduction estimated by simplistically -- and incorrectly -- multiplying the 20% price increase by the \",G66, \" elasticity.\")","v":"As an example, consider a 20% increase in the travel cost (price) of work trips. From Cell G66, we see that work trips are assumed to have a price-elasticity of -0.4 (shown as -40.0%). The effect of the 20% price increase is calculated by taking 1.2 (the 'factor' or 'multiple' corresponding to a 20% price increase), and raising it to the -0.4 power. The result, 0.93, indicates a 7% decrease in the number of work trips -- rather than the 8% reduction estimated by simplistically -- and incorrectly -- multiplying the 20% price increase by the -0.4 elasticity."},null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note: Auto price-elasticities are 'all-in,' i.e., they apply not to the (relatively small) current toll levels, but to the total incremental cost of a CBD auto trip, which includes parking, gasoline, etc. (as estimated in Rows \",'Motor Vs'!O236, \"-\",'Motor Vs'!O274, \" of the 'Motor Vs' worksheet). Thus, what may appear to be high values (in a tolls-only context) are far more modest as all-in values.\")","v":"Note: Auto price-elasticities are 'all-in,' i.e., they apply not to the (relatively small) current toll levels, but to the total incremental cost of a CBD auto trip, which includes parking, gasoline, etc. (as estimated in Rows 236-274 of the 'Motor Vs' worksheet). Thus, what may appear to be high values (in a tolls-only context) are far more modest as all-in values."},null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Auto trips are classified as either (i) work trips (i.e., commute trips as well as on-the-job travel), (ii) non-work trips, or (iii) trips that travel through the CBD en route to an outside destination.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Type of Elasticity",null,null,null,null,"For Work Trips","For Non-work Trips","For Auto Thru Trips (weekdays)","For Auto Thru Trips (weekends)",null,"Worksheet(s) in which elasticity is applied",null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,"Citation / Sourcing",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63},null,null,null,"Script Area - Don't Touch"]
[null,"Transit Volume w/r/t Transit Cost",null,null,{"$f":"CONCATENATE(\"from TSRPC (see Row \",O28, \").\")","v":"from TSRPC (see Row 28)."},null,-0.09,-0.23400000000000001,null,null,null,"Subways, Buses",null,null,{"$f":"ROW()","v":64},null,null,null,{"$f":"G64","v":-0.09},-0.23400000000000001]
[null,"Transit Volume w/r/t Transit Time",null,null,null,null,-0.5,-0.55000000000000004,null,null,null,"Subways, Buses",null,null,{"$f":"ROW()","v":65},null,null,null,-0.5,-0.55000000000000004]
[null,"Auto Volume w/r/t Auto Cost",null,null,{"$f":"CONCATENATE(\"See Rows \",O40,\"-\",O41,\" & \",O52, \"-\",O60, \".\")","v":"See Rows 40-41 & 52-60."},null,-0.4,-0.6,{"$f":"G66*'Motor Vs'!$I$53+H66*(1-'Motor Vs'!$I$53)","v":-0.48258359625282499},{"$f":"G66*'Motor Vs Weekends'!$I$53+H66*(1-'Motor Vs Weekends'!$I$53)","v":-0.54999999999999993},null,"Motor Vs, Subways","(in calculating time-switching)",null,{"$f":"ROW()","v":66},null,null,null,-0.4,-0.6,{"$f":"I66","v":-0.48258359625282499}]
[null,"Auto Volume w/r/t Auto Time",null,null,{"$f":"CONCATENATE(\"See Row \",O39,\".\")","v":"See Row 39."},null,-1,-1,{"$f":"G67*'Motor Vs'!$I$53+H67*(1-'Motor Vs'!$I$53)","v":-1},{"$f":"G67*'Motor Vs Weekends'!$I$53+H67*(1-'Motor Vs Weekends'!$I$53)","v":-1},null,"Motor Vs",null,null,{"$f":"ROW()","v":67},null,null,null,-1,-1,{"$f":"I67","v":-1}]
[null,"Taxi Volume w/r/t Taxi Cost ",null,null,{"$f":"CONCATENATE(\"Formerly based on Schaller (see Rows \",O82, \"-\",O84, \"). Raised since.\")","v":"Formerly based on Schaller (see Rows 82-84). Raised since."},null,-0.3,null,null,null,null,"Taxis, Motor Vs",null,null,{"$f":"ROW()","v":68}]
[null,"Taxi Volume w/r/t Taxi Time ",null,null,null,null,-0.6,null,null,null,null,"Taxis, Motor Vs",null,null,{"$f":"ROW()","v":69}]
[null,"Taxi Volume w/r/t Cost if surcharge via Drop",null,null,{"$f":"CONCATENATE(\"Cell G\",O68, \" x Cell G\",O75, \".\")","v":"Cell G68 x Cell G75."},null,{"$f":"G68*G75","v":-0.39999999999999997},null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"UberLyft Volume w/r/t UberLyft Cost ",null,null,"Komanoff estimates, assumed to equal Taxi elasticities.",null,{"$f":"G68","v":-0.3},null,null,null,null,"Taxis, Motor Vs",null,null,{"$f":"ROW()","v":71}]
[null,"UberLyft Volume w/r/t UberLyft Time",null,null,null,null,{"$f":"G69","v":-0.6},null,null,null,null,"Taxis, Motor Vs",null,null,{"$f":"ROW()","v":72}]
[null,"UberLyft Volume w/r/t Cost if surchrg via Drop",null,null,{"$f":"CONCATENATE(\"Cell G\",O71, \" x Cell H\",O75, \".\")","v":"Cell G71 x Cell H75."},null,{"$f":"G71*H75","v":-0.36},null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Multiplier to Taxi and UberLyft Price-Elasticities (\"taxi volume w/r/t taxi cost\") if most or all of taxi surcharge is expressed through \"drop\":",null,null,"Komanoff ests. Taxi figure is higher since fare more visible.",null,"Taxis","UberLyfts",null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,{"$f":"4/3","v":1.3333333333333333},1.2,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"Thru-trips elasticities are weighted averages of elasticities for auto work, auto non-work, taxi, truck and bus. The weights are derived in Rows \",O92, \"-\",O96, \" (for weekdays) and Rows \",O98, \"-\",O102, \" weekends).\")","v":"Thru-trips elasticities are weighted averages of elasticities for auto work, auto non-work, taxi, truck and bus. The weights are derived in Rows 92-96 (for weekdays) and Rows 98-102 weekends)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Taxi price-elasticity was previously set at -0.22 per Bruce Schaller, “Elasticities for Taxicab Fares and Service Availability,” in Transportation, Aug. 1999, pp. 283-97 <http://www.schallerconsult.com/taxi/elastic.pdf>. We have raised it somewhat to reflect the greater viability and variety of alternatives to taxis (subways and, secondarily, bicycles). For taxi time-elasticity, we follow Schaller suggestion (oral comm., Nov. 2009) that it should fall in same range as that of transit work, transit non-work, auto work, and auto non-work, and therefore calculate it as mean of those four values. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Truck price-elasticity as a % of that for auto work trips",null,null,null,{"$f":"CONCATENATE(\"These factors (by Komanoff)  are applied to elasticities in Rows \",O64, \"-\",O67, \" to calculate truck and bus elasticities which are then inputted into 'Motor Vs' and 'Motor Vs Weekends' worksheets.\")","v":"These factors (by Komanoff)  are applied to elasticities in Rows 64-67 to calculate truck and bus elasticities which are then inputted into 'Motor Vs' and 'Motor Vs Weekends' worksheets."},null,null,null,{"$f":"1/3","v":0.33333333333333331},null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Bus price-elasticity as a % of that for auto work trips",null,null,null,null,null,null,null,{"$f":"1/5","v":0.2},null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Truck time-elasticity as a % of that for auto work trips",null,null,null,null,null,null,null,{"$f":"J87","v":0.33333333333333331},null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Bus time-elasticity as a % of that for auto work trips",null,null,null,null,null,null,null,"NA","(subsumed in transit time-elasticity)",null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Weekday Breakdown of baseline (pre-pricing) thru trips ",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Truck and bus numbers are differences between total cordon entries and 'final' entries in Rows \",'Motor Vs'!O44, \" and \",'Motor Vs'!O82, \" of 'Motor Vs' worksheet. Auto figures were calculated in Row \",O59, \" of 'Motor Vs' worksheet' and are taken directly from there.\")","v":"Truck and bus numbers are differences between total cordon entries and 'final' entries in Rows 44 and 82 of 'Motor Vs' worksheet. Auto figures were calculated in Row 59 of 'Motor Vs' worksheet' and are taken directly from there."},null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,{"$f":"CONCATENATE(\"(needed to calculate thru trip elasticities in Rows \",O66,\" and \",O67, \")\")","v":"(needed to calculate thru trip elasticities in Rows 66 and 67)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,"Auto work","Auto non-work","Taxi","Truck","Bus","Total",null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Number",{"$f":"'Motor Vs'!I$73","v":59001.742882955434},{"$f":"'Motor Vs'!J$73","v":41498.257117044566},{"$f":"'Motor Vs'!L44-'Motor Vs'!L85","v":0},{"$f":"'Motor Vs'!M44-'Motor Vs'!M85","v":5500},{"$f":"'Motor Vs'!N44-'Motor Vs'!N85","v":0},{"$f":"SUM(C95:G95)","v":106000},null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Share",{"$f":"C95/$H$95","v":0.55662021587693811},{"$f":"D95/$H$95","v":0.39149299167023177},{"$f":"E95/$H$95","v":0},{"$f":"F95/$H$95","v":5.1886792452830191E-2},{"$f":"G95/$H$95","v":0},{"$f":"SUM(C96:G96)","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"Weekend/Holiday Breakdown of baseline (pre-pricing) thru trips ",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note from Rows \",O92, \"-\",O96, \" applies here, except that data are from 'Motor Vs Weekends' worksheet.\")","v":"Note from Rows 92-96 applies here, except that data are from 'Motor Vs Weekends' worksheet."},null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,{"$f":"CONCATENATE(\"(needed to calculate thru trip elasticities in Rows \",O81,\" and \",O82, \")\")","v":"(needed to calculate thru trip elasticities in Rows 81 and 82)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,"Auto work","Auto non-work","Taxi","Truck","Bus","Total",null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Number",{"$f":"('Motor Vs Weekends'!$K$85-$F101-$G101)*'Motor Vs Weekends'!I85/'Motor Vs Weekends'!$I$51","v":24934.748924391493},{"$f":"('Motor Vs Weekends'!$K$85-$F101-$G101)*'Motor Vs Weekends'!J85/'Motor Vs Weekends'!$I$51","v":74773.000220637652},0,{"$f":"'Motor Vs Weekends'!M44-'Motor Vs Weekends'!M85","v":2300},{"$f":"'Motor Vs Weekends'!N44-'Motor Vs Weekends'!N85","v":0},{"$f":"SUM(C101:G101)","v":102007.74914502914},null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Share",{"$f":"C101/$H$101","v":0.24443975220883077},{"$f":"D101/$H$101","v":0.7330129411475339},{"$f":"E101/$H$101","v":0},{"$f":"F101/$H$101","v":2.2547306643635315E-2},{"$f":"G101/$H$101","v":0},{"$f":"SUM(C102:G102)","v":1},null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Cross Elasticities",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"These are the percent of lost trips in one mode (due to changes in time or cost) that is 'captured' by the other mode (figures given are absolute values). See notes in Rows \",O129, \"-\",O138, \".\")","v":"These are the percent of lost trips in one mode (due to changes in time or cost) that is 'captured' by the other mode (figures given are absolute values). See notes in Rows 129-138."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,"As given in the TSRPC report",null,null,"As modified + applied in this spreadsheet",null,null,"Worksheet(s) in which elasticity is applied",null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108},null,null,null,-0.3,-0.40406011121871843,-0.44973598677504323,-0.37420673607200783,-0.46318636030946625,-0.33102969081191391]
[null,null,null,null,null,"Work","Non-work",null,"Work","Non-work",null,null,null,null,{"$f":"ROW()","v":109},null,null,null,-0.28999999999999998,-0.40571485394803114,-0.44989162193287213,-0.37700984007473731,-0.46285835727010877,-0.33514272325338385]
[null,null,null,null,null,null,null,null,"Not used. Auto time impacts are subsumed in rebound effect and captured via parameters in next row.",null,null,null,null,null,{"$f":"ROW()","v":110},null,null,null,-0.28000000000000003,-0.40737123953572824,-0.45004728599790311,-0.37980402211985598,-0.46253341674663773,-0.3392540379847539]
[null,"Change in Transit Volume per Change in Auto Volume caused by change in Auto Time",null,null,null,0.95,0.4,null,null,null,null,null,null,null,{"$f":"ROW()","v":111},null,null,null,-0.27,-0.40902926817217944,-0.45020297897343459,-0.38258927892573069,-0.46221150154195034,-0.34336387831442339]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112},null,null,null,-0.26,-0.4106889400412691,-0.45035870086275925,-0.38536560768166389,-0.46189256975498399,-0.34747247704377776]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113},null,null,null,-0.25,-0.41235025532038139,-0.45051445166916393,-0.3881330060424763,-0.46157657476627362,-0.3515800566367781]
[null,"Change in Transit Volume per Change in Auto Volume caused by change in Auto Cost",null,null,null,0.95,0.5,null,{"$f":"F114-I117","v":0.90249999999999997},{"$f":"G114-J117","v":0.47499999999999998},null,"Subways",null,null,{"$f":"ROW()","v":114},null,null,null,-0.24,-0.41401321418038028,-0.45067023139592866,-0.39089147212311515,-0.46126346525823647,-0.3556868294241019]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Sums of values in Rows \",O114, \" & \",O117, \" equal resp. values in Row \",O114, \" at left.\")","v":"Sums of values in Rows 114 & 117 equal resp. values in Row 114 at left."},null,null,null,null,null,{"$f":"ROW()","v":115},null,null,null,-0.23,-0.41567781678559773,-0.45082604004633064,-0.3936410044932806,-0.46095318527086138,-0.35979299784255625]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116},null,null,null,-0.22,-0.41734406329381141,-0.45098187762364011,-0.39638160217208657,-0.46064567429335346,-0.36389875471015365]
[null,"Change in Taxicab Volume per Change in Auto Volume caused by change in Auto Time or Cost",null,null,null,"TSCRP report did not\nprovide values for these.",null,null,{"$f":"$G$134*F114","v":4.7500000000000001E-2},{"$f":"$G$134*G114","v":2.5000000000000001E-2},null,"Motor Vs",null,null,{"$f":"ROW()","v":117},null,null,null,-0.21,-0.41901195385623458,-0.45113774413112118,-0.39911326462273089,-0.46034086739215158,-0.36800428353696241]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118},null,null,null,-0.2,-0.42068148861749588,-0.45129363957203283,-0.40183599174720203,-0.46003869537559783,-0.37210975887150494]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119},null,null,null,-0.19,-0.42235266771562519,-0.45144956394962898,-0.40454978388100393,-0.45973908499538696,-0.37621534668216866]
[null,"Change in Auto Volume per Change in Transit Volume caused by change in Transit Cost",null,null,null,0.95,0.5,null,{"$f":"$J$134*F120","v":0.90249999999999997},{"$f":"$J$134*G120","v":0.47499999999999998},null,"Motor Vs, via Subways",null,null,{"$f":"ROW()","v":120},null,null,null,-0.18,-0.42402549128203681,-0.45160551726715786,-0.40725464178790283,-0.4594419591847681,-0.38032120477274961]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121},null,null,null,-0.17,-0.42569995944151623,-0.45176149952786049,-0.40995056665470186,-0.45914723733330942,-0.38442748323093379]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122},null,null,null,-0.16,-0.42737607231220132,-0.45191751073497455,-0.41263756008603986,-0.45885483559786111,-0.38853432490817402]
[null,"Change in Auto Volume per Change in Transit Volume caused by change in Transit Time",null,null,null,0.95,0.53,null,{"$f":"$J$134*F123","v":0.90249999999999997},{"$f":"$J$134*G123","v":0.50349999999999995},null,"Not yet incorporated",null,null,{"$f":"ROW()","v":123},null,null,null,-0.15,-0.42905383000557101,-0.45207355089173046,-0.41531562409921324,-0.4585646672491791,-0.39264186592908568]
[null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note that means of Rows \",O120, \" & \",O123, \" added to Row \",O126, \" equals resp. means of values in Rows \",O120, \" and \",O123, \" at left.\")","v":"Note that means of Rows 120 & 123 added to Row 126 equals resp. means of values in Rows 120 and 123 at left."},null,null,null,null,null,null,{"$f":"ROW()","v":124},null,null,null,-0.14000000000000001,-0.43073323262642615,-0.45222962000135325,-0.41798476111901894,-0.45827664305348331,-0.39675023622815536]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125},null,null,null,-0.13,-0.43241428027287798,-0.45238571806706251,-0.42064497397263167,-0.45799067168803748,-0.40085956011122453]
[null,"Change in Taxi Volume per Change in Transit Volume caused by change in Transit Time or Cost",null,null,null,"TSCRP report did not\nprovide values for these.",null,null,{"$f":"$G$134*AVERAGE(F120:F123)","v":4.7500000000000001E-2},{"$f":"$G$134*AVERAGE(G120:G123)","v":2.5750000000000002E-2},null,"Subways",null,null,{"$f":"ROW()","v":126},null,null,null,-0.12,-0.43409697303633199,-0.45254184509207285,-0.42329626588449948,-0.45770666018963951,-0.40496995683888298]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127},null,null,null,-0.11,-0.43578131100147238,-0.45269800107959124,-0.42593864047126379,-0.45742451443470994,-0.40908154122859886]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128},null,null,null,-0.1,-0.43746729424624936,-0.45285418603282035,-0.42857210173671118,-0.45714413964946382,-0.41319442427210257]
[null,"Explanation: The TSRPC report didn't specify parameters for replacement of transit or auto trips by medallion taxicabs. Nevertheless, it's reasonable to assume that at least a small share of mode shifts in either direction would be captured by medallion taxis. We have applied a rough estimate here, with the proviso that total number of mode-shifted trips remains unchanged.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129},null,null,null,-0.09,-0.43915492284186458,-0.45301039995495618,-0.43119665406674612,-0.45686544094843384,-0.41730871376424661]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130},null,null,null,-0.08,-0.44084419685275439,-0.45316664284919,-0.43381230222439227,-0.45658832389940529,-0.42142451493931549]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131},null,null,null,-7.0000000000000007E-2,-0.44253511633658049,-0.45332291471870662,-0.43641905134482295,-0.45631269511261152,-0.42554193111046379]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132},null,null,null,-0.06,-0.44422768134421192,-0.45347921556668475,-0.43901690693041273,-0.45603846285180222,-0.42966106430777212]
[null,"Assumptions used to modify TSRPC elasticities shown above to values applied here",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133},null,null,null,-0.05,-0.44592189191971343,-0.45363554539629752,-0.44160587484582264,-0.4557655376646006,-0.43378201591018589]
[null,null,null,null,null,"Percentage of mode-shifted trips assumed to go to medallion taxis:",0.05,null,"% to transit or auto:",{"$f":"1-G134","v":0.95},null,null,null,null,{"$f":"ROW()","v":134},null,null,null,-0.04,-0.44761774810033272,-0.45379190421071347,-0.44418596131310795,-0.45549383302932545,-0.43790488726642057]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135},null,null,null,-0.03,-0.44931524991648347,-0.45394829201309189,-0.44675717290686023,-0.45522326601524854,-0.44202978029978718]
[null,"Explanation: Schaller states, \"Cabs transport 11% of fare-paying passengers traveling by taxi, bus, subway, car service or black car in New York City, and 25% of those traveling within Manhattan.\" (NY Taxicab Fact Book, p. 1.) At the margin, these shares would be smaller. A 5% shift to taxis seems reasonable, though 10% would also be plausible.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136},null,null,null,-0.02,-0.45101439739173771,-0.45410470880658965,-0.44931951654937019,-0.45495375795302467,-0.44615679809178233]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137},null,null,null,-0.01,-0.45271519054280723,-0.45426115459435623,-0.45187299950582538,-0.4546852351118319,-0.45028604543920292]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138},null,null,null,0.01,-0.45612171390487982,-0.45457413316526407,-0.45695341410718199,-0.45415087894197792,-0.45855165967937572]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139},null,null,null,0.02,-0.457827444114905,-0.45473066595467432,-0.45948036195410874,-0.45388492895731614,-0.46268824928070246]
[null,"Time-Switching Elasticities ",null,{"$f":"CONCATENATE(\"-- See note in Section A, Row \",O20, \", above.\")","v":"-- See note in Section A, Row 20, above."},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140},null,null,null,0.03,-0.45953481999876539,-0.45488722775089191,-0.4619984815096288,-0.45361973222109669,-0.46682751469993733]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141},null,null,null,0.04,-0.46124384153869658,-0.45504381855703646,-0.46450778168236934,-0.45335524981761743,-0.4709695763748914]
[null,"C. Support for TSRPC elasticity values from other sources",null,null,null,null,{"$f":"CONCATENATE(\"(TSRPC = Tri-State Regional Planning Commission report referenced in Row \",O28, \".)\")","v":"(TSRPC = Tri-State Regional Planning Commission report referenced in Row 28.)"},null,null,null,null,null,null,null,{"$f":"ROW()","v":142},null,null,null,0.05,-0.46295450871000088,-0.45520043837622165,-0.46700827169564824,-0.45309145175291282,-0.47511455895492821]
[null,"As noted in Time Switching worksheet, during 2005-07 the Puget Sound Regional Council conducted a real-world road-pricing experiment involving 270 demographically representative households in the Seattle metropolitan area. These households were charged time-varied tolls for all trips taken on area highways over a six-month period. In effect, drivers who stayed out of busy traffic on freeways and arterials got a financial reward mile by mile. The households’ number, length and timing of their trips were then compared against baseline values, and the results distilled into estimates of price elasticities and time-switching propensities. The PSRC's \"Traffic Choices Study, Summary Report\" is available at <https://web.archive.org/web/20170113044800/https://www.psrc.org/assets/37/summaryreport.pdf>.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143},null,null,null,0.06,-0.46466682148103511,-0.45535708721155499,-0.46949996108287678,-0.45282831756455993,-0.47926259152992656]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144},null,null,null,7.0000000000000007E-2,-0.46638077981320353,-0.45551376506613794,-0.47198285968299503,-0.45256583690334667,-0.4834138077939894]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145},null,null,null,0.08,-0.46809638366094036,-0.45567047194306548,-0.47445697763593875,-0.45230401008171539,-0.48756834614021199]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146},null,null,null,0.09,-0.4698136329717017,-0.45582720784542752,-0.47692232537814,-0.4520428485837823,-0.49172634968329465]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147},null,null,null,0.1,-0.47153252768595316,-0.45598397277630681,-0.47937891363805285,-0.45178237553165002,-0.49588796620728504]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148},null,null,null,0.11,-0.47325306773716042,-0.4561407667387809,-0.4818267534317186,-0.45152262610266181,-0.50005334803630141]
[null,"Along with the summary report, the PSRC published 21 volumes detailing and analyzing every aspect of the study design and findings. Among the findings is a price-elasticity of negative 0.691 for auto vehicle miles traveled. This value is shown in the last part of the last table (under “Model 4” for “All Tours”) of Appendix 19, Toll Impact Models, p. 11 of 27, and was confirmed in communications with PSRC personnel in the Spring of 2008. It applies to the \"all-in\" cost of driving an additional mile.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149},null,null,null,0.12,-0.47497525305177724,-0.45629758973591961,-0.48426585605835859,-0.45126364789219475,-0.50422265182673809]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150},null,null,null,0.13,-0.4766990835492344,-0.45645444177078714,-0.48669623309599891,-0.45100550121662886,-0.50839603828009827]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151},null,null,null,0.14000000000000001,-0.4784245591419295,-0.45661132284644301,-0.48911789639713277,-0.45074825935109653,-0.51257367177637903]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152},null,null,null,0.15,-0.48015167973521899,-0.45676823296593944,-0.49153085808440666,-0.45049200869672756,-0.51675571992866376]
[null,{"$f":"CONCATENATE(\"This PSRC report's price-elasticity value for driving (negative 0.691) is midway between the values given in the TSRPC report referenced in Rows \",O28, \"-\",O30, \": negative 0.5 for work trips and negative 0.9 for non-work trips (which we have reduced to \",G66, \" and \",H66, \", respectively).\")","v":"This PSRC report's price-elasticity value for driving (negative 0.691) is midway between the values given in the TSRPC report referenced in Rows 28-30: negative 0.5 for work trips and negative 0.9 for non-work trips (which we have reduced to -0.4 and -0.6, respectively)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153},null,null,null,0.16,-0.48188044522740314,-0.45692517213232142,-0.49393513054634874,-0.45023684887221244,-0.52094235306045877]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154},null,null,null,0.17,-0.48361085550972155,-0.45708214034862849,-0.49633072643312337,-0.44998289272463032,-0.52513374360812171]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155},null,null,null,0.18,-0.48534291046633971,-0.45723913761789409,-0.49871765865232187,-0.44973026625472773,-0.52933006545166905]
[null,"Further support for the TSRPC price-elasticity values for auto use is provided in work we carried out prior to development of the BTA, which is documented in the Regressions worksheet tab. There we applied standard statistical “linear regression” techniques to 1978-2005 travel data to infer the price-elasticity of motor vehicle trips across the East River. We “regressed” (correlated) the annual volume of trips on all East River crossings (both tolled and untolled) against that year’s average round-trip cost, which in turn was estimated as the weighted average of gasoline, parking and tolls. To avoid confounding the analysis with variations in economic activity, we controlled for the number of Manhattan jobs in each year. (We also “smoothed” the data by using two-year running averages, along with a single five-year average for 2001-2005 to level out 9/11 impacts.) The result was an estimated price-elasticity of 0.7, which happens to equal the mean of the TSRPC’s estimated elasticities for work and non-work trips to the CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156},null,null,null,0.19,-0.4870766099743406,-0.45739616394314536,-0.50109594036478589,-0.44947910845209299,-0.53353149317812232]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157},null,null,null,0.2,-0.48881195390371607,-0.45755321932740256,-0.50346558498046312,-0.44922957103596889,-0.53773820128253269]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158},null,null,null,0.21,-0.49054894211735695,-0.45771030377368005,-0.50582660615429864,-0.44898181809786897,-0.54195036331271762]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159},null,null,null,0.22,-0.49228757447104421,-0.4578674172849852,-0.50817901778215824,-0.4487360256425974,-0.5461681509646904]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160},null,null,null,0.23,-0.49402785081343947,-0.45802455986432011,-0.51052283399678466,-0.44849238102482741,-0.55039173313667855]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161},null,null,null,0.24,-0.49576977098607822,-0.45818173151467906,-0.51285806916378829,-0.44825108227899713,-0.55462127495047997]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162},null,null,null,0.25,-0.49751333482336024,-0.45833893223905042,-0.51518473787767483,-0.44801233734098805,-0.55885693674976999]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163},null,null,null,0.26,-0.49925854215254106,-0.45849616204041649,-0.51750285495790005,-0.44777636316087516,-0.56309887308568574]
[null,"As for the other elasticity values from TSRPC that are used here: Although no subsequent work is available to confirm or alter the TSRPC values for time-elasticity and cross-elasticity, there is a strong common-sense basis to the TSRPC values. For one thing, the time-elasticities are higher for auto use than transit; this fits with the greater affluence and, hence, value of time for the average driver vs. the average transit-user. For another, work trips are less elastic than non-work trips for both types of travel.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164},null,null,null,0.27000000000000102,-0.50100539279372436,-0.45865342092175271,-0.51981243544496547,-0.44754338470688321,-0.56734723170077339]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},null,null,null,0.28000000000000103,-0.50275388655985553,-0.45881070888602865,-0.52211349459654255,-0.4473136338617455,-0.57160215252290481]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166},null,null,null,0.29000000000000098,-0.50450402325671218,-0.45896802593620528,-0.52440604788363376,-0.44708734821370261,-0.57586376668129891]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167},null,null,null,0.30000000000000099,-0.5062558026828986,-0.45912537207523924,-0.52669011098676888,-0.44686476974564648,-0.58013219555713014]
[null,"The foregoing suggest that the elasticity values used in the BTA are reasonable. The user is invited to test the robustness of the key results (revenue generation, mode switching, travel speeds) by substituting his or her own elasticity estimates. We believe this will show the basic results holding up across a fairly broad range of elasticities. One reason for this stability is the \"rebound effect\" already noted, whereby faster road travel invites more trips that then use up some of the increased speed.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168},null,null,null,0,-0.454417629379535,-0.454417629379535,-0.454417629379535,-0.454417629379535,-0.454417629379535]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169},null,null,null,{"$f":"S108","v":-0.3},{"$f":"T108/T$168-1","v":-0.11081770359476384},-1.0302510954260602E-2,-0.17651360361403168,1.9296634555979075E-2,-0.27152982320711427]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170},null,null,null,-0.28999999999999998,-0.10717624555632443,-9.9600172925569108E-3,-0.17034504011319018,1.8574824885422725E-2,-0.2624786064946687]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171},null,null,null,-0.28000000000000003,-0.10353117221275998,-9.6174600171194946E-3,-0.1641961104404267,1.7859754645047632E-2,-0.25343116980744407]
[null,"For more discussion of elasticities in the BTA, see our Jan. 2008 report, \"Balancing Congestion Pricing and Free Transit in New York City\" <http://bit.ly/ud4zux>, particularly the Traffic Analysis section beginning at p. 17.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172},null,null,null,-0.27,-9.9882483145139256E-2,-9.2748391206898262E-3,-0.15806682181736487,1.7151341978208778E-2,-0.24438697771639095]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173},null,null,null,-0.26,-9.6230177948803064E-2,-8.9321545960218129E-3,-0.15195718042927875,1.644949467663781E-2,-0.23534551791439273]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174},null,null,null,-0.25,-9.2574256233396324E-2,-8.5894064358825739E-3,-0.14586719143701399,1.5754110148661127E-2,-0.2263063008430638]
[null,{"$f":"CONCATENATE(\"See also the discussion of Port Authority data, in Section G, beginning at Row \",O305, \", below.\")","v":"See also the discussion of Port Authority data, in Section G, beginning at Row 305, below."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175},null,null,null,-0.24,-8.8914717622912587E-2,-8.2465946330538831E-3,-0.1397968589888533,1.506507546383884E-2,-0.21726885924351313]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176},null,null,null,-0.23,-8.5251561755719907E-2,-7.9037191803239537E-3,-0.13374618623234147,1.4382267475516075E-2,-0.20823274762948762]
[null,"D. Elasticity Formulae",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177},null,null,null,-0.22,-8.1584788284609688E-2,-7.5607800704960981E-3,-0.12771517532603482,1.3705553022496764E-2,-0.19919754168203474]
[null,"Convex Elasticity (this is used throughout the BTA, except where a zero price would result in a \"singularity,\" in which case Point Elasticity must be used). It embodies the Law of Diminishing Returns, whereby each successive increment in price yields a lesser quantity response.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178},null,null,null,-0.21,-7.7914396876819225E-2,-7.2177772963875064E-3,-0.12170382745123043,1.3034789210762288E-2,-0.1901628375654395]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179},null,null,null,-0.2,{"$f":"T118/T$168-1","v":-7.4240387214075887E-2},-6.8747108508261379E-3,-0.11571214282361431,1.23698237758465E-2,-0.18112825116493347]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180},null,null,null,-0.19,-7.056275899262876E-2,-6.531580726651498E-3,-0.10974012070487005,1.1710495526148224E-2,-0.17209341724735527]
[null,"Q2 = Q1 * (P2/P1)^e",null,null,null,null,null,"Q denotes auto use or transit ridership",null,null,null,null,null,null,{"$f":"ROW()","v":181},null,null,null,-0.18,-6.6881511923284842E-2,-6.188386916715416E-3,-0.10378775941423934,1.1056634867122828E-2,-0.16305798854669695]
[null,null,null,null,null,null,null,"P denotes fare or toll (i.e., \"price\")",null,null,null,null,null,null,{"$f":"ROW()","v":182},null,null,null,-0.17,-6.3196645731438905E-2,-5.8451294138857079E-3,-9.7855056340020896E-2,1.040806440593478E-2,-0.15402163477716801]
[null,"Point Elasticity (used when either the starting or final price is zero)",null,null,null,null,null,"e denotes elasticity",null,null,null,null,null,null,{"$f":"ROW()","v":183},null,null,null,-0.16,-5.9508160157114576E-2,-5.5018082110374067E-3,-9.1942007951016258E-2,9.7645996357682563E-3,-0.14498404157716882]
[null,"Q2 = e*Q1*(P2-P1)/P1 + Q1",null,null,null,null,null,"1 denotes starting ridership and price",null,null,null,null,null,null,{"$f":"ROW()","v":184},null,null,null,-0.15,-5.5816054954989092E-2,-5.1584233010615321E-3,-8.6048609807924725E-2,9.1260496986143025E-3,-0.13594490938830517]
[null,null,null,null,null,null,null,"2 denotes new ridership and price",null,null,null,null,null,null,{"$f":"ROW()","v":185},null,null,null,-0.14000000000000001,-5.2120329894435824E-2,-4.8149746768612056E-3,-8.0174856574692699E-2,8.4922182249342892E-3,-0.12690395227429685]
[null,"Mid-point Elasticity (not used here)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186},null,null,null,-0.13,-4.8420984759549368E-2,-4.4714623313512059E-3,-7.4320742029786002E-2,7.8629042481936917E-3,-0.11786089668536637]
[null,"e = ((Q2-Q1)/(Q1+Q2)/2)/((P2-P1)/(P1+P2)/2) or Q2 = Q1*(e*((P2-P1)+(P1+P2))/((P1+P2)-e*(P2-P1))",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187},null,null,null,-0.12,-4.4718019349181071E-2,-4.1278862574574138E-3,-6.8486259077423672E-2,7.2379031918179404E-3,-0.10881548017441189]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188},null,null,null,-0.11,-4.1011433476973114E-2,-3.7842464481224747E-3,-6.2671399758756352E-2,6.617007925683982E-3,-9.9767450071948871E-2]
[null,"E. Sensitivity Analysis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189},null,null,null,-0.1,{"$f":"T128/T$168-1","v":-3.7301226971386936E-2},-3.4405428962986928E-3,-5.6876155262975847E-2,6.0000098888144393E-3,-9.0716562127483691E-2]
[null,"The graph below shows the effect of raising or lowering the assumed elasticities on a key BTA indicator: the number of weekday motor vehicle trips into the cordon (CBD). It indicates that changes in both time-elasticities have only a small impact, and that even the most sensitive parameter -- auto price-elasticity -- exerts only around a 1-for-2 effect.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190},null,null,null,-0.09,-3.3587399675734875E-2,-3.0967755949526943E-3,-5.1100515938378055E-2,5.3867002744614201E-3,-8.1662579125632018E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191},null,null,null,-0.08,-2.9869951448217136E-2,-2.7529445370618744E-3,-4.5344471303363387E-2,4.7768712733133878E-3,-7.2605269485844004E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192},null,null,null,-7.0000000000000007E-2,-2.6148882161942E-2,-2.4090497156176172E-3,-3.9608010057372689E-2,4.1703173700897711E-3,-6.3544405855244457E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193},null,null,null,-0.06,-2.2424191704966456E-2,-2.0650911236247405E-3,-3.3891120091776639E-2,3.5668366882690705E-3,-5.4479763704514905E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194},null,null,null,-0.05,-1.8695879980320518E-2,-1.7210687541003855E-3,-2.8193788500691763E-2,2.9662323772650101E-3,-4.5411119937237343E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195},null,null,null,-0.04,-1.4963946906036418E-2,-1.3769826000719076E-3,-2.2516001591746049E-2,2.3683140358350396E-3,-3.6338251523518217E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196},null,null,null,-0.03,-1.1228392415185029E-2,-1.0328326545868682E-3,-1.6857744896769056E-2,1.7728991650556303E-3,-2.7260934168998441E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197},null,null,null,-0.02,-7.4892164558933993E-3,-6.8861891069815773E-4,-1.1219003182437737E-2,1.179814643682997E-3,-1.8178941030593587E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198},null,null,null,-0.01,-3.7464189913852808E-3,-3.4434136147498684E-4,-5.5997604608432061E-3,5.8889821828067568E-4,-9.0920414904971381E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199},null,null,null,0.01,{"$f":"T138/T$168-1","v":3.750040524773679E-3},3.4440518063250103E-4,5.5802956657058367E-3,-5.870160405556657E-4,9.0974249953403863E-3]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200},null,null,null,0.02,7.5037025742723529E-3,6.8887418731256034E-4,1.1141144725142826E-2,-1.1722705893831842E-3,1.820048203776814E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201},null,null,null,{"$f":"S140","v":0.03},1.1260986124630445E-2,1.0334070269195639E-3,1.6682566080116201E-2,-1.7558675254913947E-3,2.7309427535518127E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202},null,null,null,0.04,1.5021891136754784E-2,1.3780037063184647E-3,2.2204579335118435E-2,-2.337892487507931E-3,3.6424526526307011E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203},null,null,null,0.05,1.8786417556295509E-2,1.7226642323615593E-3,2.7707204787157158E-2,-2.9184114807185857E-3,4.554605331587358E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204},null,null,null,0.06,2.255456531361788E-2,2.0673886118871554E-3,3.3190463415636584E-2,-3.4974695351170926E-3,5.4674291981838374E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205},null,null,null,7.0000000000000007E-2,2.6326334323787393E-2,2.412176851720238E-3,3.8654376872313989E-2,-4.0750894253746006E-3,6.3809536733964167E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206},null,null,null,0.08,3.0101724486531145E-2,2.7570289586720254E-3,4.4098967471322803E-2,-4.6512704639244395E-3,7.2952092122704926E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207},null,null,null,0.09,3.3880735686220076E-2,3.1019449395419674E-3,4.9524258179272307E-2,-5.2259873786042466E-3,8.2102273088967115E-2]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"G. Sifting the 2011 Port Authority Toll Hike for Elasticity \"Clues\"",null,null,null,null,null,"Based in part on Chrstine Haughney's Dec. 3, 2011 NYT article, \"After Tolls Rise, Less Traffic and More Train Riders into Manhattan,\" <http://nyti.ms/sZ7J1N>.",null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"In September 2011, the Port Authority implemented a steep toll hike on its Hudson River crossings. On Dec. 3, 2011, the Times ran a story indicating that in the two months following the hike, the number of crossings had fallen by 4% compared to a year earlier. In addition, \"about 3.5 percent more riders\" [we take that to mean a 3.5 percentage point increase, among drivers] switched to E-ZPass, while the Port Authority received 20 percent more in toll revenue than it did the year before.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"Though the Times story didn't mention it, the Port Authority also broadened the periods in which it charges peak rates for tolls and shrank the off-peak periods.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,{"$f":"CONCATENATE(\"The net result of the changes is, by my estimate, a \",ROUND(100*I344,0), \"% rise in the average toll paid by car drivers. Curiously, this would imply a 25-26 percent increase in revenue rather than the 20% figure in the Times article (since \",ROUND(I345,2), \" times (1-4%) equals 1.26.)\")","v":"The net result of the changes is, by my estimate, a 31% rise in the average toll paid by car drivers. Curiously, this would imply a 25-26 percent increase in revenue rather than the 20% figure in the Times article (since 1.31 times (1-4%) equals 1.26.)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,{"$f":"CONCATENATE(\"Leaving that anomaly aside, I estimate below that, with the toll hike, the average driver's cost of a round-trip using a Hudson River crossing increased in Fall 2011 by \",ROUND(100*I355,0), \"%. The implied total-trip price-elasticity, \",ROUND(I361,2), \", is shown in Row \",O361, \".\")","v":"Leaving that anomaly aside, I estimate below that, with the toll hike, the average driver's cost of a round-trip using a Hudson River crossing increased in Fall 2011 by 14%. The implied total-trip price-elasticity, -0.32, is shown in Row 361."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,null,2008,null,2011,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,"Effecctive Date",null,null,null,null,"2008-03-02",null,"2011-09-18",null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,"Peak Hours",null,null,null,null,"6-9am, 4-7pm",null,"6-10am, 4-8pm",null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,"# Peak Hours per day",null,null,null,null,6,null,8,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,"Peak Hours, % of weekday",null,null,null,null,{"$f":"G324/24","v":0.25},null,{"$f":"I324/24","v":0.33333333333333331},null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,"Peak Hours, % of weekday crossings",null,null,null,null,{"$f":"SUM('Weekday Hours'!D41:D43)+SUM('Weekday Hours'!D51:D53)","v":0.35794430672122501},null,{"$f":"SUM('Weekday Hours'!D41:D44)+SUM('Weekday Hours'!D51:D54)","v":0.46274227394862977},"From applicable cells in Weekday Hours worksheet tab.",null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Other Hours, % of weekday crossings",null,null,null,null,{"$f":"1-G326","v":0.64205569327877499},null,{"$f":"1-I326","v":0.53725772605137023},"Complement of percentage in prior row.",null,null,null,null,{"$f":"ROW()","v":327}]
[null,"E-ZPass Penetration, peak crossings",null,null,null,null,0.8,null,{"$f":"G328+3.5%","v":0.83500000000000008},"Komanoff guesstimates, with 2008/2011 delta from NYT 3-Dec-2011 story saying \"about 3.5 percent more riders [sic] started using E-Zpass\")",null,null,null,null,{"$f":"ROW()","v":328}]
[null,"E-ZPass Penetration, off-peak crossings",null,null,null,null,0.75,null,{"$f":"G329+3.5%","v":0.78500000000000003},null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,"Off-Peak Toll w/ E-ZPass",null,null,null,null,6,null,7.5,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"Off-Peak Toll w/o E-ZPass",null,null,null,null,8,null,12,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,"Peak Toll w/ E-ZPass",null,null,null,null,8,null,9.5,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Peak Toll w/o E-ZPass",null,null,null,null,8,null,12,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"% Wkday crossings off-peak + E-ZPass",null,null,null,null,{"$f":"G329*G327","v":0.48154176995908127},null,{"$f":"I329*I327","v":0.42174731495032564},{"$f":"CONCATENATE(\"Algebra from Rows \",O336, \"-\",O339, \".\")","v":"Algebra from Rows 336-339."},null,null,null,null,{"$f":"ROW()","v":336}]
[null,"% Wkday crossings off-peak w/o E-ZPass",null,null,null,null,{"$f":"G327*(1-G329)","v":0.16051392331969375},null,{"$f":"I327*(1-I329)","v":0.11551041110104458},null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"% Wkday crossings peak w E-ZPass",null,null,null,null,{"$f":"G329*G326","v":0.26845823004091873},null,{"$f":"I329*I326","v":0.3632526850496744},null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,"% Wkday crossings peak w/o E-ZPass",null,null,null,null,{"$f":"(1-G329)*G326","v":8.9486076680306254E-2},null,{"$f":"(1-I329)*I326","v":9.9489588898955386E-2},null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,null,null,null,null,null,{"$f":"SUM(G336:G339)","v":1},null,{"$f":"SUM(I336:I339)","v":1},null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"Weighted average toll",null,null,null,null,{"$f":"SUMPRODUCT(G336:G339,G331:G334)","v":7.0369164600818372},null,{"$f":"SUMPRODUCT(I336:I339,I331:I334)","v":9.1940053700993492},{"$f":"CONCATENATE(\"SumProduct function on Rows \",O331, \"-\",O334, \" and \",O336, \"-\",O339, \".\")","v":"SumProduct function on Rows 331-334 and 336-339."},null,null,null,null,{"$f":"ROW()","v":342}]
[null,"Increase, $",null,null,null,null,null,null,{"$f":"I342-G342","v":2.1570889100175119},null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Increase, %",null,null,null,null,null,null,{"$f":"I343/G342","v":0.30653893964124529},null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Increase, factor",null,null,null,null,null,null,{"$f":"1+I344","v":1.3065389396412452},null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,"Total Trip Costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"Miles, typical round-trip (Komanoff est.)",null,null,null,null,25,null,{"$f":"G348","v":25},null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Per-gallon gasoline cost (Komanoff est.)",null,null,null,null,2.8,null,3.5,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,"Cost of fuel (gasoline) per trip on these crossings",null,null,null,null,{"$f":"G348*G349/18","v":3.8888888888888888},null,{"$f":"I348*I349/18","v":4.8611111111111107},"Assumes 18 mpg.",null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Other costs (than gasoline + tolls) for round-trip on these facilities",null,null,null,null,12,null,{"$f":"G351","v":12},"Komanoff est.",null,null,null,null,{"$f":"ROW()","v":351}]
[null,"Average current toll for these trips",null,null,null,null,{"$f":"G342","v":7.0369164600818372},null,{"$f":"I342","v":9.1940053700993492},{"$f":"CONCATENATE(\"Row \",O342, \".\")","v":"Row 342."},null,null,null,null,{"$f":"ROW()","v":352}]
[null,"Total trip cost",null,null,null,null,{"$f":"SUM(G350:G352)","v":22.925805348970727},null,{"$f":"SUM(I350:I352)","v":26.055116481210462},{"$f":"CONCATENATE(\"Sum of Rows \",O350, \"-\",O352, \".\")","v":"Sum of Rows 350-352."},null,null,null,null,{"$f":"ROW()","v":353}]
[null,"Increase, $",null,null,null,null,null,null,{"$f":"I353-G353","v":3.1293111322397351},null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Increase, %",null,null,null,null,null,null,{"$f":"I354/G353","v":0.13649732624900909},null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"Increase, factor",null,null,null,null,null,null,{"$f":"1+I355","v":1.136497326249009},null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"Number of motor vehicle trips (normalized)",null,null,null,null,100,null,96,{"$f":"CONCATENATE(\"Year-on-year drop in crossings, from NYT story cited at Row \",O305, \".\")","v":"Year-on-year drop in crossings, from NYT story cited at Row 305."},null,null,null,null,{"$f":"ROW()","v":358}]
[null,null,null,null,null,null,null,null,{"$f":"I358/G358","v":0.96},null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Implied Elasticity (based on entire trip cost)",null,null,null,null,null,null,{"$f":"LOG(I359)/LOG(I356)","v":-0.31904393706111972},{"$f":"CONCATENATE(\"Calculated on Rows \",O356, \" and \",O359, \", using logarithms.\")","v":"Calculated on Rows 356 and 359, using logarithms."},null,null,null,null,{"$f":"ROW()","v":361}]

{"sheet":"Gini","index":48,"n_rows":81,"n_cols":28,"rows_kept":81,"cut":false,"hidden":false,"merged":[[4,1,5,10],[7,1,11,10]]}
[null,"Gini (Coefficient)",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[]
[null,"This worksheet calculates the Gini Coefficient for hourly subway travel as a way of distilling the effect of transit fare pricing on the \"even-ness\" (or unevenness) of the temporal distribution of subway ridership."]
[]
[]
[null,"The Gini Coefficient is a measure of population inequality ranging from zero to one. A completely equal distribution (all periods have the same number of rides) gives 0, while completely unequal distribution (all rides fall in a single period) gives 1. A 2008 article, from Harvard Magazine <http://harvardmagazine.com/2008/07/p3-unequal-america.html> includes a timely discussion of the Gini Coefficient's use in tracking income inequality (which was the focus of its creator, Corrado Gini, in the early 20th Century). For more info, try Wikipedia: <http://www.answers.com/topic/gini-coefficient>."]
[]
[]
[]
[]
[]
[null,"Here the Gini Coefficient is calculated as half the relative mean difference."]
[]
[null,"Baseline subway travel"]
[]
[null,"time period (start)",null,{"$f":"Subways!P108","v":"Midnight"},{"$f":"Subways!Q108","v":"1 a.m."},{"$f":"Subways!R108","v":"2 a.m."},{"$f":"Subways!S108","v":"3 a.m."},{"$f":"Subways!T108","v":"4 a.m."},{"$f":"Subways!U108","v":"5 a.m."},{"$f":"Subways!V108","v":"6 a.m."},{"$f":"Subways!W108","v":"7 a.m."},{"$f":"Subways!X108","v":"8 a.m."},{"$f":"Subways!Y108","v":"9 a.m."},{"$f":"Subways!Z108","v":"10 a.m."},{"$f":"Subways!AA108","v":"11 a.m."},{"$f":"Subways!AB108","v":"Noon"},{"$f":"Subways!AC108","v":"1 p.m."},{"$f":"Subways!AD108","v":"2 p.m."},{"$f":"Subways!AE108","v":"3 p.m."},{"$f":"Subways!AF108","v":"4 p.m."},{"$f":"Subways!AG108","v":"5 p.m."},{"$f":"Subways!AH108","v":"6 p.m."},{"$f":"Subways!AI108","v":"7 p.m."},{"$f":"Subways!AJ108","v":"8 p.m."},{"$f":"Subways!AK108","v":"9 p.m."},{"$f":"Subways!AL108","v":"10 p.m."},{"$f":"Subways!AM108","v":"11 p.m."},"sum"]
[null,null,"rides/hr",{"$f":"Subways!P110","v":40714.084346283969},{"$f":"Subways!Q110","v":18032.022503453409},{"$f":"Subways!R110","v":10050.209274193272},{"$f":"Subways!S110","v":7377.0866388420682},{"$f":"Subways!T110","v":13456.129577232614},{"$f":"Subways!U110","v":48687.231111668683},{"$f":"Subways!V110","v":152291.91792100112},{"$f":"Subways!W110","v":306358.53505560174},{"$f":"Subways!X110","v":454176.63173602585},{"$f":"Subways!Y110","v":307307.03137974476},{"$f":"Subways!Z110","v":178424.19532667872},{"$f":"Subways!AA110","v":144619.20856996422},{"$f":"Subways!AB110","v":145689.03538836306},{"$f":"Subways!AC110","v":154693.49135492253},{"$f":"Subways!AD110","v":182745.8719792206},{"$f":"Subways!AE110","v":241438.05416484427},{"$f":"Subways!AF110","v":276935.89019855706},{"$f":"Subways!AG110","v":388501.20554767636},{"$f":"Subways!AH110","v":350736.60774032644},{"$f":"Subways!AI110","v":233765.34481380734},{"$f":"Subways!AJ110","v":171603.68825672462},{"$f":"Subways!AK110","v":125492.32279691633},{"$f":"Subways!AL110","v":91773.037738525425},{"$f":"Subways!AM110","v":80265.899592831294}]
[null,{"$f":"D18","v":"Midnight"},{"$f":"D19","v":40714.084346283969},{"$f":"ABS($C20-D$19)","v":0},{"$f":"ABS($C20-E$19)","v":22682.061842830561},30663.875072090697,33336.9977074419,27257.954769051357,7973.1467653847139,111577.83357471715,265644.45070931775,413462.54738974187,266592.94703346078,137710.11098039476,103905.12422368025,104974.95104207909,113979.40700863856,142031.78763293661,200723.96981856029,236221.80585227307,{"$f":"ABS($C20-U$19)","v":347787.12120139238},310022.52339404245,193051.26046752336,130889.60391044065,84778.238450632358,51058.953392241456,39551.815246547325,{"$f":"SUM(D20:AA20)","v":3375878.4874854195}]
[null,{"$f":"E18","v":"1 a.m."},{"$f":"E19","v":18032.022503453409},22682.061842830561,0,7981.8132292601367,10654.93586461134,4575.8929262207948,30655.208608215275,134259.89541754773,288326.51255214831,436144.60923257243,289275.00887629134,160392.17282322532,126587.18606651081,127657.01288490965,136661.46885146911,164713.84947576717,223406.03166139085,258903.86769510363,370469.18304422294,332704.58523687301,215733.32231035392,153571.6657532712,107460.30029346292,73741.015235072016,62233.877089377886,{"$f":"SUM(D21:AA21)","v":3738791.4769707089}]
[null,{"$f":"F18","v":"2 a.m."},{"$f":"F19","v":10050.209274193272},30663.875072090697,7981.8132292601367,0,2673.1226353512038,3405.9203030393419,38637.021837475411,142241.70864680785,296308.32578140846,444126.42246183258,297256.82210555149,168373.98605248544,134568.99929577095,135638.82611416979,144643.28208072926,172695.66270502732,231387.844890651,266885.68092436378,378450.99627348309,340686.39846613316,223715.13553961407,161553.47898253135,115442.11352272306,81722.828464332153,70215.690318638022,3889275.955703469]
[null,{"$f":"G18","v":"3 a.m."},{"$f":"G19","v":7377.0866388420682},33336.9977074419,10654.93586461134,2673.1226353512038,0,6079.0429383905457,41310.144472826614,144914.83128215905,298981.44841675967,446799.54509718379,299929.94474090269,171047.10868783665,137242.12193112215,138311.94874952099,147316.40471608046,175368.78534037853,234060.9675260022,269558.80355971499,381124.11890883429,343359.52110148437,226388.25817496527,164226.60161788255,118115.23615807426,84395.951099683356,72888.812953989225,3948084.6536811963]
[null,{"$f":"H18","v":"4 a.m."},{"$f":"H19","v":13456.129577232614},27257.954769051357,4575.8929262207948,3405.9203030393419,6079.0429383905457,0,35231.101534436071,138835.78834376851,292902.4054783691,440720.50215879321,293850.90180251212,164968.0657494461,131163.07899273161,132232.90581113045,141237.36177768992,169289.74240198798,227981.92458761166,263479.76062132441,375045.07597044372,337280.47816309379,220309.21523657473,158147.55867949201,112036.19321968372,78316.908161292813,66809.770015598682,3821157.549642683]
[null,{"$f":"I18","v":"5 a.m."},{"$f":"I19","v":48687.231111668683},7973.1467653847139,30655.208608215275,38637.021837475411,41310.144472826614,35231.101534436071,0,103604.68680933243,257671.30394393305,405489.40062435716,258619.80026807607,129736.96421501003,95931.977458295529,97001.804276694369,106006.26024325384,134058.64086755191,192750.82305317558,228248.65908688836,339813.97443600767,302049.37662865774,185078.11370213865,122916.45714505593,76805.091685247637,43085.806626856742,31578.668481162611,3264254.4327700338]
[null,{"$f":"J18","v":"6 a.m."},{"$f":"J19","v":152291.91792100112},111577.83357471715,134259.89541754773,142241.70864680785,144914.83128215905,138835.78834376851,103604.68680933243,0,154066.61713460062,301884.7138150247,155015.11345874364,26132.277405677596,7672.7093510369014,6602.8825326380611,2401.5734339214105,30453.954058219475,89146.136243843153,124643.97227755593,236209.28762667524,198444.68981932531,81473.426892806223,19311.7703357235,26799.595124084793,60518.880182475696,72026.018328169826,2368238.3620948554]
[null,{"$f":"K18","v":"7 a.m."},{"$f":"K19","v":306358.53505560174},265644.45070931775,288326.51255214831,296308.32578140846,298981.44841675967,292902.4054783691,257671.30394393305,154066.61713460062,0,147818.09668042412,948.49632414302323,127934.33972892302,161739.32648563752,160669.49966723868,151665.04370067921,123612.66307638114,64920.480890757462,29422.644857044681,82142.670492074627,44378.072684724699,72593.190241794393,134754.84679887712,180866.21225868541,214585.49731707631,226092.63546277044,3778044.7806837694]
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[null,"avg riders/hr",{"$f":"AVERAGE(C20:C43)","v":171880.61387555857},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AB20:AB43)","v":80405067.595623627}]
[null,"periods",{"$f":"COUNTA(B20:B43)","v":24}]
[null,"Gini coefficient",{"$f":"AB44/(C44*2*C45*(C45-1))","v":0.42372828167042903}]
[]
[]
[null,"post-Kheel subway travel"]
[]
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[null,{"$f":"AA51","v":"11 p.m."},{"$f":"AA52","v":88102.231831426237},42731.98661347814,67617.858832132391,76498.195442266806,79437.828964639135,72722.900050764452,34730.507737018394,86801.502142967016,250974.03816967047,407398.64538669237,245897.99488876757,108388.77961469896,72390.98917681523,73501.890107217449,83579.785473895929,114044.95195684984,177157.57399809701,215178.24932491392,333339.77520977415,293447.05106382119,{"$f":"ABS($C76-W$52)","v":168541.12869338173},{"$f":"ABS($C76-X$52)","v":98625.062400395749},{"$f":"ABS($C76-Y$52)","v":48935.932695105119},{"$f":"ABS($C76-Z$52)","v":12668.926806739168},{"$f":"ABS($C76-AA$52)","v":0},3164611.5547501026]
[null,"avg riders/hr",{"$f":"AVERAGE(C53:C76)","v":188816.10680932223},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(AB53:AB76)","v":87642635.259698316}]
[null,"periods",{"$f":"COUNTA(B53:B76)","v":24}]
[null,"Gini coefficient",{"$f":"AB77/(C77*2*C78*(C78-1))","v":0.42044318317493945}]
[]
[null,"Change",{"$f":"C79/C46-1","v":-7.7528421811708936E-3}]

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[null,"Cordon ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet estimates the costs to build, operate and administer the cordon charging system. It also estimates the effective new lane-miles and car-free public space \"created\" by reducing VMT within the CBD. ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,{"$f":"CONCATENATE(\"Tolling System Cost Estimate, Summarized (assumes \",O75,\"-way tolling).\")","v":"Tolling System Cost Estimate, Summarized (assumes 1-way tolling)."},null,null,null,null,null,null,null,null,"This worksheet draws upon cost estimates in a spreadsheet that apparently was relied on in the Bloomberg 2007-2008 effort to enact a congestion pricing plan for the Manhattan CBD, filename \"Copy of Mark Page Briefing Nov 09 MSvers2.\" (The file was previously available at http://bit.ly/1OemYg3; however, that link is inactive as of mid-2018.) Mark Page, 2002-2014 director of the City of New York Office of Management & Budget, was a Bloomberg administration Deputy Mayor. Cost figures below are from that file's tab, \"Capital and Expense Cost.\"",null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Annualized Capital Cost",null,null,null,null,null,null,{"$f":"H9/5","v":51600000},null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,{"$f":"CONCATENATE(\"Above figure is based on \",J95, \"-yr straight-line amortization of tolling system est'd capital cost of:\")","v":"Above figure is based on 5-yr straight-line amortization of tolling system est'd capital cost of:"},null,null,null,null,null,{"$f":"ROUND(O92,-6)","v":258000000},null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,{"$f":"CONCATENATE(\"That capital cost estimate is derived in Rows \",P64, \"-\",P92, \" and displayed in Row \",P92, \".\")","v":"That capital cost estimate is derived in Rows 64-92 and displayed in Row 92."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Annual Costs to Process Vehicle Entries to CBD using E-ZPass",null,null,null,null,{"$f":"CONCATENATE(\"(derived in Rows \",P116, \"-\",P175, \")\")","v":"(derived in Rows 116-175)"},null,{"$f":"O174","v":26000000},null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Annual Costs to Process Vehicle Entries to CBD not using E-ZPass",null,null,null,null,{"$f":"CONCATENATE(\"(derived in Rows \",P177, \"-\",P208, \")\")","v":"(derived in Rows 177-208)"},null,{"$f":"O207","v":4000000},null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Annual Costs to Process Vehicle Entries to CBD requiring manual review",null,null,null,null,{"$f":"CONCATENATE(\"(derived in Rows \",P210, \"-\",P238, \")\")","v":"(derived in Rows 210-238)"},null,{"$f":"O240","v":11000000},null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Annual Administrative Costs for entire system (not keyed to # of transactions)",null,null,null,null,{"$f":"CONCATENATE(\"(derived in Rows \",P245, \"-\",P246, \")\")","v":"(derived in Rows 245-246)"},null,{"$f":"O245","v":20000000},null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,{"$f":"CONCATENATE(\"Per-transaction costs are shown in Cells I\",P102, \"-I\",P106, \".\")","v":"Per-transaction costs are shown in Cells I102-I106."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"T O T A L (annual cost to amortize, administer and operate tolling system):",null,null,null,null,null,null,{"$f":"SUM(I8:I14)","v":112600000},null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"A previous version of this worksheet drew instead on data from the Interim Report to the Traffic Congestion Mitigation Commission. Table 13 of that Jan. 31, 2008 report stated capital costs of $224 million for the \"Mayor's Plan,\" which required 340 charging stations across the Manhattan CBD, each with E-ZPass readers and LPR (License Plate Recognition) cameras; and $73 million for an \"Alt. Pricing Plan\" based on the 60th Street cordon and with no intra-cordon tolling. The pdf is available at: <https://www.dot.ny.gov/programs/repository/TCMC-Final-Report.pdf>. See Page 35 (56/94). Extrapolating from that cost figure for 340 charging stations throughout the CBD, to a few dozen at entrances and exits only, required a number of approximating assumptions. This version, based directly on Page's work, is more straightforward.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Location & count of charging devices for plans exempting FDR Drive and West St",null,null,null,null,"Conceived, mapped and written by Regional Plan Association senior fellow Jeffrey M Zupan, May 2019",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Device Count",null,{"$f":"ROW()","v":26}]
[null,null,null,null,"If One Way (inbound) tolling",null,null,null,null,"If Two Way (inbound and outbound) tolling",null,null,null,"One-way","Two-way *",{"$f":"ROW()","v":27}]
[null,"Brooklyn Bridge",null,null,"On span inbound E of first exit",null,null,null,null,"On span oubound E of last entrance",null,null,null,1,2,{"$f":"ROW()","v":28}]
[null,"Manhattan Bridge",null,null,"On span inbound E of exit",null,null,null,null,"On span oubound E of entrance",null,null,null,1,2,{"$f":"ROW()","v":29}]
[null,"Williamsburg Bridge",null,null,"On span inbound E of exit",null,null,null,null,"On span oubound E of entrance",null,null,null,1,2,{"$f":"ROW()","v":30}]
[null,"Queensboro Bridge Upper Level",null,null,"None; ramp empties north of 61st Street",null,null,null,null,"On span outbound E of last entrance",null,null,null,0,1,{"$f":"ROW()","v":31}]
[null,"Queensboro Bridge Lower Level",null,null,"On span inbound E of first exit",null,null,null,null,"On span outbound E of last entrance",null,null,null,1,2,{"$f":"ROW()","v":32}]
[null,"Unnamed Ave near QBB btw 60th & 61st Sts ",null,null,null,null,null,null,null,"On block Btw 60th & 61st Stss",null,null,null,1,1,{"$f":"ROW()","v":33}]
[null,"West Side Highway / 9A",null,null,"Southbound, btw 57th & 79th Sts; \nNorthbound, btw 57th & 72nd Sts",null,null,null,null,"S-bound, btw 57th & 79th Sts, N-bound, btw 57th & 72nd Sts",null,null,null,2,2,{"$f":"ROW()","v":34}]
[null,"Freedom Place",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":35}]
[null,"Twelfth Ave/Riverside Blvd.",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":36}]
[null,"Eleventh Ave /West End Ave",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":37}]
[null,"Amsterdam Ave Tenth Ave",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":38}]
[null,"Columbus Ave/ Ninth Ave",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":39}]
[null,"Broadway",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":40}]
[null,"CP West",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":41}]
[null,"CP Drive @ Seventh Ave",null,null,"Sensitive site; necessary if CP Drives re-open to traffic?",null,null,null,null,"Sensitive site; necessary if CP Drives re-open to traffic?",null,null,null,1,1,{"$f":"ROW()","v":42}]
[null,"CP Drive @ Sixth Ave",null,null,"NA",null,null,null,null,"Sensitive site; necessary if CP Drives re-open to traffic?",null,null,null,0,1,{"$f":"ROW()","v":43}]
[null,"Fifth Ave",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,1,{"$f":"ROW()","v":44}]
[null,"Madison Ave",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":45}]
[null,"Park Ave",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":46}]
[null,"Lexington Ave",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,1,{"$f":"ROW()","v":47}]
[null,"Third Ave",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":48}]
[null,"Second Ave",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,1,{"$f":"ROW()","v":49}]
[null,"First Ave",null,null,"NA",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,0,1,{"$f":"ROW()","v":50}]
[null,"York Ave /Sutton Place",null,null,"Btw 60th & 61st Sts",null,null,null,null,"Btw 60th & 61st Sts",null,null,null,1,2,{"$f":"ROW()","v":51}]
[null,"FDR Drive",null,null,"Southbound btw 63rd St & 53rd Sts; Northbound btw 42nd St & 63rd Sts",null,null,null,null,"S-bound btw 63rd St & 53rd Sts; N-bound btw 42nd St & 63rd Sts",null,null,null,2,2,{"$f":"ROW()","v":52}]
[null,"Battery Park Underpass",null,null,"To check on validity of exemption for bypasses; needed in both directions for both one- and two-way charging",null,null,null,null,"To check on validity of exemption for bypasses; needed in both directions for both one- and two-way charging",null,null,null,2,2,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"TOTAL COUNT",null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(N27:N53)","v":21},{"$f":"SUM(O27:O53)","v":39},{"$f":"ROW()","v":55}]
[null,"* Additive; includes locations for one-way",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Figures below incorporate significant conservatisms vis-a-vis the Mark Page spreadsheet. These are marked in same color as this box.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"I - Tolling Costs",null,null,null,null,null,null,{"$f":"'Policy Levers'!E21","v":"Baseline"},{"$f":"'Policy Levers'!F21","v":"Fix NYC lower-range plan"},{"$f":"'Policy Levers'!G21","v":"Fix NYC higher-range plan"},{"$f":"'Policy Levers'!H21","v":"Fix NYC turbo-charged"},{"$f":"'Policy Levers'!I21","v":"Move NY Plan (Flat Toll)"},{"$f":"'Policy Levers'!J21","v":"Move NY Plan w Variable Tolls"},"Figures in column assume values of plan chosen in 'Results' tab.",{"$f":"ROW()","v":61},"If Just Bridges (East & Harlem Rivers) Tolled","If Only East River Bridges are Tolled",null,"A trial balloon idea to toll NYC borders"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"1. Capital Costs for Cordon-Tolling System (2018$)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"A. Central Processing System, direct cost",null,null,null,null,null,null,{"$f":"ROUND(90000000*CPI_2018/CPI_2007,-6)","v":109000000},{"$f":"$I$66","v":109000000},{"$f":"$I$66","v":109000000},{"$f":"$I$66","v":109000000},{"$f":"$I$66","v":109000000},{"$f":"$I$66","v":109000000},{"$f":"INDEX($I66:$N66,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":109000000},{"$f":"ROW()","v":66},{"$f":"$I$66","v":109000000},{"$f":"$I$66","v":109000000},null,{"$f":"R66","v":109000000}]
[null,"Taken directly from $90M figure in Mark Page spreadsheet, but adjusted to 2018 dollars by multiplying by ratio of 2018 CPI to 2007 CPI in Constants tab.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"B. System Engineering, Integration, Legal",null,null,"(the Mark Page spreadsheet had no corresponding entry)",null,null,null,{"$f":"I66","v":109000000},109000000,109000000,109000000,109000000,109000000,{"$f":"INDEX($I69:$N69,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":109000000},{"$f":"ROW()","v":69},{"$f":"ROUND(AVERAGE(J69,R69),-5)","v":81800000},{"$f":"ROUND(J69*0.5,-5)","v":54500000},null,{"$f":"1.5*J69","v":163500000}]
[null,"Cordon cost (Option 1) is Komanoff assumption and is assumed to equal Central Processing System direct cost. Option 3 is assumed 50% of cordon. Option 2 = mean of 1&3.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70},null,null,null,"Is set at 50% greater than Option #1, due to many more field units."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"C. Field Units",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Number of Locations for plan being costed",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Is Tolling Done in one direction or two?",null,null,null,null,null,null,{"$f":"'Policy Levers'!E27","v":1},{"$f":"'Policy Levers'!F27","v":1},{"$f":"'Policy Levers'!G27","v":1},{"$f":"'Policy Levers'!H27","v":2},{"$f":"'Policy Levers'!I27","v":2},{"$f":"'Policy Levers'!J27","v":2},{"$f":"INDEX($I75:$N75,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":1},{"$f":"ROW()","v":75},{"$f":"'Policy Levers'!$K$27/2","v":0.5},{"$f":"'Policy Levers'!$K$27/2","v":0.5},null,{"$f":"'Policy Levers'!$K$27","v":1}]
[null,"Avenues ",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Prior breakout of toll locations by avenues, bridges, etc. for Baseline and Fix NYC scenarios has been replaced by the finer-grained \" & \"itemization by RPA shown in Rows \",P24, \"-\",P56, \" and summed in Cells N\",P54, \" and O\",P54, \".\")","v":"Prior breakout of toll locations by avenues, bridges, etc. for Baseline and Fix NYC scenarios has been replaced by the finer-grained itemization by RPA shown in Rows 24-56 and summed in Cells N54 and O54."},null,null,null,20,20,{"$f":"INDEX($I76:$N76,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":76},0,0,"Visually est'd from ~ 40 Nass-Qns xings fr Little Neck Bay in N to Jer.o Tpk in S. Same fig was applied to S 1/2 of N-Q border; ditto Wstch-Bx border (shorter than N-Q)."]
[null,"Bridges (Move NY: 2 ea. Bk + QB, 1 ea. Manh + Wburg; all: both directions; 7 Harlem R br's are 2-way (7), 1-way (2))",null,null,null,null,null,null,null,null,null,null,12,12,{"$f":"INDEX($I77:$N77,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":77},28,12]
[null,"Tunnels (Lincoln & Holland not new-tolled, Bklyn-Battery & Queens-Midtown already tolled)",null,null,null,null,null,null,null,null,null,null,0,0,{"$f":"INDEX($I78:$N78,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":78},0,0]
[null,"Miscellany (to offset possible undercounting above)",null,null,null,null,null,null,null,null,null,null,1,1,{"$f":"INDEX($I79:$N79,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":79},1,1]
[null,"Total Number of Tolling Installations (with each direction counted as one)",null,null,null,null,null,null,{"$f":"IF(I75=1,$N$55,$O$55)","v":21},{"$f":"IF(J75=1,$N$55,$O$55)","v":21},{"$f":"IF(K75=1,$N$55,$O$55)","v":21},{"$f":"IF(L75=1,$N$55,$O$55)","v":39},{"$f":"SUM(M76:M79)","v":33},{"$f":"SUM(N76:N79)","v":33},{"$f":"INDEX($I80:$N80,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":21},{"$f":"ROW()","v":80},{"$f":"SUM(Q76:Q79)","v":29},{"$f":"SUM(R76:R79)","v":13},null,120]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Cost per Field Unit",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Equipment Cost",null,null,null,null,null,null,{"$f":"ROUND(395000*CPI_2018/CPI_2007,-4)","v":480000},{"$f":"ROUND(395000*CPI_2018/CPI_2007,-4)","v":480000},{"$f":"$J83","v":480000},{"$f":"$J83","v":480000},{"$f":"$J83","v":480000},{"$f":"$J83","v":480000},{"$f":"INDEX($I83:$N83,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":480000},{"$f":"ROW()","v":83},{"$f":"$J83","v":480000},{"$f":"$J83","v":480000},null,{"$f":"J83","v":480000}]
[null,{"$f":"CONCATENATE(\"Taken from $395K figure in Mark Page spreadsheet and brought to 2018 $$ thru process used for Central Processing System, noted in Row \",P67, \".\")","v":"Taken from $395K figure in Mark Page spreadsheet and brought to 2018 $$ thru process used for Central Processing System, noted in Row 67."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Equipment cost multiplier to reflect erection, siting, community relations",null,null,null,null,null,null,4,4,4,4,4,4,4,{"$f":"ROW()","v":85},4,4,"Smaller factor outside CBD.",3]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Installed Cost per Field Unit",null,null,null,null,null,null,{"$f":"I83*I85","v":1920000},{"$f":"J83*J85","v":1920000},1920000,1920000,1920000,1920000,{"$f":"INDEX($I87:$N87,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":1920000},{"$f":"ROW()","v":87},{"$f":"Q83*Q85","v":1920000},{"$f":"R83*R85","v":1920000},null,{"$f":"T83*T85","v":1440000}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P83, \" and \",P85, \".\")","v":"Product of Rows 83 and 85."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Total Cost of Field Units (rounded to nearest million)",null,null,null,null,null,null,{"$f":"ROUND(I87*I80,-6)","v":40000000},{"$f":"ROUND(J87*J80,-6)","v":40000000},40000000,75000000,63000000,63000000,{"$f":"INDEX($I89:$N89,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":40000000},{"$f":"ROW()","v":89},{"$f":"ROUND(Q87*Q80,-6)","v":56000000},{"$f":"ROUND(R87*R80,-6)","v":25000000},null,{"$f":"ROUND(T87*T80,-6)","v":173000000}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P80, \" and \",P87, \".\")","v":"Product of Rows 80 and 87."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Total Installed Cost",null,null,null,null,null,null,{"$f":"I89+I69+I66","v":258000000},258000000,258000000,293000000,281000000,281000000,{"$f":"INDEX($I92:$N92,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":258000000},{"$f":"ROW()","v":92},{"$f":"Q89+Q69+Q66","v":246800000},{"$f":"R89+R69+R66","v":188500000},null,{"$f":"T89+T69+T66","v":445500000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P66, \", \",P69, \" and \",P89, \".\")","v":"Sum of Rows 66, 69 and 89."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Amortization period, years (Komanoff assumption; period could easily be 10 years, halving annual cost)",null,null,null,null,null,null,5,5,5,5,5,5,{"$f":"INDEX($I95:$N95,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":5},{"$f":"ROW()","v":95},5,5,null,5]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Annualized capital cost, 2015$ (uses straight-line amortization, for simplicity)",null,null,null,null,null,null,{"$f":"ROUND(I92/I95,-5)","v":51600000},51600000,51600000,58600000,56200000,56200000,{"$f":"INDEX($I97:$N97,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":51600000},{"$f":"ROW()","v":97},{"$f":"ROUND(Q92/Q95,-5)","v":49400000},{"$f":"ROUND(R92/R95,-5)","v":37700000},null,{"$f":"ROUND(T92/T95,-5)","v":89100000}]
[null,{"$f":"CONCATENATE(\"Row \",P92, \" divided by Row \",P95, \".\")","v":"Row 92 divided by Row 95."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"2. Operating Costs for Cordon-Tolling System",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Unit Costs",null,null,null,null,null,null,"Added for contingency","Unit Cost\nApplied Here",null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,"2007 $","2018 $",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"E-ZPass Transaction Cost",null,null,null,0.1,{"$f":"F104*CPI_2018/CPI_2007","v":0.12110763858745455},null,0.5,{"$f":"G104*(1+$I$104)","v":0.18166145788118182},null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"LPR Transaction Cost using OCR",null,null,null,0.3,{"$f":"F105*CPI_2018/CPI_2007","v":0.36332291576236359},null,null,{"$f":"G105*(1+$I$104)","v":0.54498437364354535},null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"LPR Transaction Cost using Manual Review",null,null,null,0.38,{"$f":"F106*CPI_2018/CPI_2007","v":0.46020902663232721},null,null,{"$f":"G106*(1+$I$104)","v":0.69031353994849076},null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,{"$f":"CONCATENATE(\"Taken directly from Mark Page spreadsheet. Contingency is Komanoff figure. Conversion to 2018$ uses CPI as noted in Row \",P67, \".\")","v":"Taken directly from Mark Page spreadsheet. Contingency is Komanoff figure. Conversion to 2018$ uses CPI as noted in Row 67."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"E-ZPass Penetration",null,null,null,null,null,null,"Most recently","Projected",null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,0.93600000000000005,0.95,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,{"$f":"CONCATENATE(\"TBTA 2018 'History and Projection of Traffic' doc (referenced in 'MTA Crossings' worksheet, Row \",'MTA Crossings'!$AL$14, \") reports 'E-ZPass Participation Rate' of 93.6% in 2017, an astounding jump from 86.2% in 2016 (a figure previously reported as 85.9%). Participation \" &\"ranged from 91.4% at Bronx-Whitestone Bridge to 95.9% at Marine Parkway Bridge & Queens-Midtown Tunnel. See Table 2 therein at p. 14. Same \" & \"report documents impressive TBTA programs to facilitate E-ZPass participation w/o credit cards; see pp. 13-14. We assume 95% rather than 93.6% on premise that CBD tolling along w/ passage of time will raise participation rate further.\")","v":"TBTA 2018 'History and Projection of Traffic' doc (referenced in 'MTA Crossings' worksheet, Row 14) reports 'E-ZPass Participation Rate' of 93.6% in 2017, an astounding jump from 86.2% in 2016 (a figure previously reported as 85.9%). Participation ranged from 91.4% at Bronx-Whitestone Bridge to 95.9% at Marine Parkway Bridge & Queens-Midtown Tunnel. See Table 2 therein at p. 14. Same report documents impressive TBTA programs to facilitate E-ZPass participation w/o credit cards; see pp. 13-14. We assume 95% rather than 93.6% on premise that CBD tolling along w/ passage of time will raise participation rate further."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111},null,null,null,null,null,"Old text box, preserved for archives"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112},null,null,null,null,null,"\"Per-transaction costs are adapted loosely and, we hope, conservatively, from article in Oct. 22, 2007 Daily News, \"Mayor says congestion plan will raise $390M for mass transit.\" http://www.nydailynews.com/news/2007/10/22/2007-10-22_mayor_says_congestion_plan_will_raise_39-4.html: \"Every time the system reads an E-ZPass tag on a car or truck, the city expects the cost to be 30 cents - even though E-ZPass transactions cost far less for the MTA's bridges and tunnels (15 cents) and the New Jersey Turnpike (6 cents). The city expects cameras will be able to automatically read license plates for just 15 cents each - down from 75 cents each in earlier drafts.')"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,null,{"$f":"I61","v":"Baseline"},"Fix NYC lower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan (Flat Toll)","Move NY Plan w Variable Tolls","Figures in column assume values of plan chosen in 'Results' tab.",{"$f":"ROW()","v":115},"If Just Bridges (East & Harlem Rivers) Tolled","If Only East River Bridges are Tolled",null,"A trial balloon idea to toll NYC borders"]
[null,"A. Operating Costs for E-ZPass Transactions, per day and per year",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"1. Weekdays",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Weekday Vehicle Entries to CBD to be tolled per day, excluding for-hire vehicles (in-bound only)",null,null,null,null,null,null,{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"ROUND('Motor Vs'!$N$933-'Motor Vs'!$AX$933-'Motor Vs'!$BP$933,-2)","v":432300},{"$f":"MAX(0.00001,IF(Results!$K$27=\"Baseline\",I120,IF(Results!$K$27=\"Fix NYC lower-range plan\",J120,IF(Results!$K$27=\"Fix NYC higher-range plan\",K120,IF(Results!$K$27=\"Fix NYC turbo-charged\",L120,IF(Results!$K$27=\"Move NY Plan (Flat Toll)\",M120,N120))))))","v":432300},{"$f":"ROW()","v":120},{"$f":"ROUND((Bridges!L12+Bridges!L27)*('Motor Vs'!N933-'Motor Vs'!AX933-'Motor Vs'!BP933),-2)","v":392700},{"$f":"ROUND(Bridges!L12*('Motor Vs'!N933-'Motor Vs'!AX933-'Motor Vs'!BP933),-2)","v":191800},null,{"$f":"0.8*(485000+305000)","v":632000}]
[null,{"$f":"CONCATENATE(\"Fix NYC and Move NY figures are from Motor V's, Row \",'Motor Vs'!O933, \", with taxi and UberLyft entries substracted from total. Other figures (Just Bridges, or Only East River bridges) prorate first figure by bridges' shares of pre-toll cordon entries, from 'Bridges' worksheet, and are only an approximation.\")","v":"Fix NYC and Move NY figures are from Motor V's, Row 933, with taxi and UberLyft entries substracted from total. Other figures (Just Bridges, or Only East River bridges) prorate first figure by bridges' shares of pre-toll cordon entries, from 'Bridges' worksheet, and are only an approximation."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121},null,null,"Sum of 485K bi-direction Nassau-Qns + 305K Bx-Westch, per cover p, \"2013 NYC Screenline Traffic Flow\" report, NYCDOT. We reduced sum by 20% to reflect attrition from toll."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Weekday Medallion Taxi Entries to CBD to be tolled per day (in-bound only)",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AW933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AX933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AX933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AX933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AX933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs'!AX933,-2)","v":0},{"$f":"INDEX($I124:$N124,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":124},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND((Bridges!L12+Bridges!L27)*('Motor Vs'!AX933),-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND(Bridges!L12*('Motor Vs'!AX933),-2)","v":0}]
[null,{"$f":"CONCATENATE(\"Takes figure from Taxis array in 'Motor Vs' tab, Row \",'Motor Vs'!O$933, \", if and only if cordon toll 'switch' for taxis in 'Policy Levers' tab, Row \",'Policy Levers'!O$124, \", has been set equal to 1.\")","v":"Takes figure from Taxis array in 'Motor Vs' tab, Row 933, if and only if cordon toll 'switch' for taxis in 'Policy Levers' tab, Row 124, has been set equal to 1."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Weekday UberLyft Entries to CBD to be tolled per day (in-bound only)",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BO933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BP933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BP933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BP933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BP933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs'!BP933,-2)","v":0},{"$f":"INDEX($I127:$N127,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":127},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND((Bridges!L12+Bridges!L27)*('Motor Vs'!BP933),-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND(Bridges!L12*('Motor Vs'!BP933),-2)","v":0}]
[null,{"$f":"CONCATENATE(\"Takes figure from UberLyft array in 'Motor Vs' tab, Row \",'Motor Vs'!O$933, \", if and only if cordon toll 'switch' for UberLyfts in 'Policy Levers' tab, Row \",'Policy Levers'!O$156, \", has been set equal to 1.\")","v":"Takes figure from UberLyft array in 'Motor Vs' tab, Row 933, if and only if cordon toll 'switch' for UberLyfts in 'Policy Levers' tab, Row 156, has been set equal to 1."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Total Weekday Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I120+I124+I127","v":432300},{"$f":"J120+J124+J127","v":432300},432300,432300,432300,432300,{"$f":"INDEX($I130:$N130,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":432300},{"$f":"ROW()","v":130},{"$f":"Q120+Q124+Q127","v":392700},{"$f":"R120+R124+R127","v":191800},null,{"$f":"T120+T124+T127","v":632000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P120, \", \",P124, \" and \",P127, \".\")","v":"Sum of Rows 120, 124 and 127."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Is Tolling Done in one direction or two?",null,null,null,null,null,null,{"$f":"'Policy Levers'!E$27","v":1},{"$f":"'Policy Levers'!F$27","v":1},{"$f":"'Policy Levers'!G$27","v":1},{"$f":"'Policy Levers'!H$27","v":2},{"$f":"'Policy Levers'!I$27","v":2},{"$f":"'Policy Levers'!J$27","v":2},{"$f":"INDEX($I132:$N132,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":1},{"$f":"ROW()","v":132},2,2,null,{"$f":"'Policy Levers'!$K$27","v":1}]
[null,{"$f":"CONCATENATE(\"Taken from 'Policy Levers' worksheet, Row \",'Policy Levers'!O27, \". Except that as of Feb 2018 we divide the Fix NYC scenarios by 2, to reflect Fix NYC panel intent to toll inbound only.\")","v":"Taken from 'Policy Levers' worksheet, Row 27. Except that as of Feb 2018 we divide the Fix NYC scenarios by 2, to reflect Fix NYC panel intent to toll inbound only."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Total Weekday Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I130*I$132","v":432300},{"$f":"J130*J$132","v":432300},432300,864600,864600,864600,{"$f":"INDEX($I135:$N135,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":432300},{"$f":"ROW()","v":135},{"$f":"Q130*Q$132","v":785400},{"$f":"R130*R$132","v":383600},null,{"$f":"T130*T$132","v":632000}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P120, \" and \",P132, \".\")","v":"Product of Rows 120 and 132."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Percent of weekday vehicle entries expected to use E-ZPass ",null,null,null,null,null,null,{"$f":"$J$110","v":0.95},0.95,0.95,0.95,0.95,0.95,0.95,{"$f":"ROW()","v":137},{"$f":"$J$110","v":0.95},{"$f":"$J$110","v":0.95},null,{"$f":"$J$110","v":0.95}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",$P$109, \".\")","v":"Copied from Row 109."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Daily weekday transactions using E-ZPass",null,null,null,null,null,null,{"$f":"I137*I135","v":410685},{"$f":"J137*J135","v":410685},410685,821370,821370,821370,{"$f":"INDEX($I139:$N139,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":410685},{"$f":"ROW()","v":139},{"$f":"Q137*Q135","v":746130},{"$f":"R137*R135","v":364420},null,{"$f":"T137*T135","v":600400}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P135, \" and \",P137, \".\")","v":"Product of Rows 135 and 137."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Daily cost of weekday transactions using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I139*$J$104,-3)","v":75000},{"$f":"ROUND(J139*$J$104,-3)","v":75000},75000,149000,149000,149000,{"$f":"INDEX($I141:$N141,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":75000},{"$f":"ROW()","v":141},{"$f":"ROUND(Q139*$J$104,-3)","v":136000},{"$f":"ROUND(R139*$J$104,-3)","v":66000},null,{"$f":"ROUND(T139*$J$104,-3)","v":109000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P139, \" and Cell I\",P104, \".\")","v":"Product of Row 139 and Cell I104."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Annual cost of weekday transactions using E-ZPass",null,null,null,null,null,null,{"$f":"I141*weekday_per_yr","v":18750000},{"$f":"J141*weekday_per_yr","v":18750000},18750000,37250000,37250000,37250000,{"$f":"INDEX($I143:$N143,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":18750000},{"$f":"ROW()","v":143},{"$f":"Q141*weekday_per_yr","v":34000000},{"$f":"R141*weekday_per_yr","v":16500000},null,{"$f":"T141*weekday_per_yr","v":27250000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P143, \" and number of weekdays in year.\")","v":"Product of Row 143 and number of weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"2. Weekends (and Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Weekend Vehicle Entries to CBD to be tolled per day (in-bound only)",null,null,null,null,null,null,{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"ROUND('Motor Vs Weekends'!$N$933-'Motor Vs Weekends'!$AX$933-'Motor Vs Weekends'!$BP$933,-2)","v":389100},{"$f":"INDEX($I148:$N148,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":389100},{"$f":"ROW()","v":148},{"$f":"ROUND((Bridges!L12+Bridges!L27)*('Motor Vs Weekends'!N933-'Motor Vs Weekends'!AX933-'Motor Vs Weekends'!BP933),-2)","v":353500},{"$f":"ROUND(Bridges!L12*('Motor Vs Weekends'!N933-'Motor Vs Weekends'!AX933-'Motor Vs Weekends'!BP933),-2)","v":172600},null,{"$f":"ROUND(Weekends!V154*T120,-3)","v":538000}]
[null,{"$f":"CONCATENATE(\"Cordon figure is from Motor V's Weekends, Row \",'Motor Vs'!O933, \", with taxi entries substracted from total. Other figures prorate first figure by bridges' shares of pre-toll cordon entries, from 'River Crossings' worksheet, and are only an approximation.\")","v":"Cordon figure is from Motor V's Weekends, Row 933, with taxi entries substracted from total. Other figures prorate first figure by bridges' shares of pre-toll cordon entries, from 'River Crossings' worksheet, and are only an approximation."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149},null,null,{"$f":"CONCATENATE(\"Calc'd as Cell L\",P120, \" x wknd/wkdy factor in 'Weekends' tab, Cell \",Weekends!X154, \", rounded.\")","v":"Calc'd as Cell L120 x wknd/wkdy factor in 'Weekends' tab, Cell 154, rounded."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Weekend Medallion Taxi Entries to CBD to be tolled per day (in-bound only)",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$AX$933,-2)","v":0},{"$f":"INDEX($I151:$N151,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":151},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND((Bridges!L12+Bridges!L27)*('Motor Vs Weekends'!AX933),-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND(Bridges!L12*('Motor Vs Weekends'!AX933),-2)","v":0}]
[null,{"$f":"CONCATENATE(\"Takes figure from Taxis array in 'Motor Vs' tab, Row \",'Motor Vs'!O$933, \", if and only if cordon toll 'switch' for taxis in 'Policy Levers' tab, Row \",'Policy Levers'!O$124, \", has been set equal to 1.\")","v":"Takes figure from Taxis array in 'Motor Vs' tab, Row 933, if and only if cordon toll 'switch' for taxis in 'Policy Levers' tab, Row 124, has been set equal to 1."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Weekend UberLyft Entries to CBD to be tolled per day (in-bound only)",null,null,null,null,null,null,{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"IF('Policy Levers'!$K$156=\"YES\",1,0)*ROUND('Motor Vs Weekends'!$BO$933,-2)","v":0},{"$f":"INDEX($I154:$N154,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0},{"$f":"ROW()","v":154},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND((Bridges!L12+Bridges!L27)*('Motor Vs Weekends'!BP933),-2)","v":0},{"$f":"IF('Policy Levers'!$K$124=\"YES\",1,0)*ROUND(Bridges!L12*('Motor Vs Weekends'!BP933),-2)","v":0}]
[null,{"$f":"CONCATENATE(\"Takes figure from UberLyft array in 'Motor Vs' tab, Row \",'Motor Vs'!O$933, \", if and only if cordon toll 'switch' for UberLyfts in 'Policy Levers' tab, Row \",'Policy Levers'!O$156, \", has been set equal to 1.\")","v":"Takes figure from UberLyft array in 'Motor Vs' tab, Row 933, if and only if cordon toll 'switch' for UberLyfts in 'Policy Levers' tab, Row 156, has been set equal to 1."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Total Weekend Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I148+I151+I154","v":389100},{"$f":"J148+J151+J154","v":389100},389100,389100,389100,389100,{"$f":"INDEX($I157:$N157,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":389100},{"$f":"ROW()","v":157},{"$f":"Q148+Q151+Q154","v":353500},{"$f":"R148+R151+R154","v":172600},null,{"$f":"T148+T151","v":538000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P148, \", \",P151, \" and \",P154, \".\")","v":"Sum of Rows 148, 151 and 154."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Is Tolling Done in one direction or two?",null,null,null,null,null,null,{"$f":"'Policy Levers'!E$27","v":1},{"$f":"'Policy Levers'!F$27","v":1},{"$f":"'Policy Levers'!G$27","v":1},{"$f":"'Policy Levers'!H$27","v":2},{"$f":"'Policy Levers'!I$27","v":2},{"$f":"'Policy Levers'!J$27","v":2},{"$f":"INDEX($I159:$N159,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":1},{"$f":"ROW()","v":159},2,2,null,{"$f":"'Policy Levers'!$K$27","v":1}]
[null,{"$f":"CONCATENATE(\"Taken from 'Policy Levers' worksheet, Row \",'Policy Levers'!O27, \".\")","v":"Taken from 'Policy Levers' worksheet, Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Total Weekend Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I157*I$159","v":389100},389100,389100,778200,778200,778200,{"$f":"INDEX($I161:$N161,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":389100},{"$f":"ROW()","v":161},{"$f":"Q157*Q$159","v":707000},{"$f":"R157*R$159","v":345200},null,{"$f":"T157*T$159","v":538000}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P148, \" and \",P159, \".\")","v":"Product of Rows 148 and 159."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Percent of weekend vehicle entries expected to use E-ZPass ",null,null,null,null,null,null,{"$f":"$J$110","v":0.95},0.95,0.95,0.95,0.95,0.95,0.95,{"$f":"ROW()","v":163},{"$f":"$J$110","v":0.95},{"$f":"$J$110","v":0.95},null,{"$f":"$J$110","v":0.95}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",$P$109, \".\")","v":"Copied from Row 109."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Daily weekend transactions using E-ZPass",null,null,null,null,null,null,{"$f":"I163*I161","v":369645},{"$f":"J163*J161","v":369645},369645,739290,739290,739290,{"$f":"INDEX($I165:$N165,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":369645},{"$f":"ROW()","v":165},{"$f":"Q163*Q161","v":671650},{"$f":"R163*R161","v":327940},null,{"$f":"T163*T161","v":511100}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P161, \" and \",P163, \".\")","v":"Product of Rows 161 and 163."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Daily cost of weekend transactions using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I165*$J$104,-3)","v":67000},{"$f":"ROUND(J165*$J$104,-3)","v":67000},67000,134000,134000,134000,{"$f":"INDEX($I167:$N167,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":67000},{"$f":"ROW()","v":167},{"$f":"ROUND(Q165*$J$104,-3)","v":122000},{"$f":"ROUND(R165*$J$104,-3)","v":60000},null,{"$f":"ROUND(T165*$J$104,-3)","v":93000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P165, \" and Cell I\",P104, \".\")","v":"Product of Row 165 and Cell I104."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Annual cost of weekend transactions using E-ZPass",null,null,null,null,null,null,{"$f":"I167*wkend_per_yr","v":7705000},{"$f":"J167*wkend_per_yr","v":7705000},7705000,15410000,15410000,15410000,{"$f":"INDEX($I169:$N169,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":7705000},{"$f":"ROW()","v":169},{"$f":"Q167*wkend_per_yr","v":14030000},{"$f":"R167*wkend_per_yr","v":6900000},null,{"$f":"T167*wkend_per_yr","v":10695000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P169, \" and number of days in year.\")","v":"Product of Row 169 and number of days in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"3. Weekdays and Weekends Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"Annual cost of transactions using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I143+I169,-6)","v":26000000},26000000,26000000,53000000,53000000,53000000,{"$f":"INDEX($I174:$N174,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":26000000},{"$f":"ROW()","v":174},{"$f":"ROUND(Q143+Q169,-6)","v":48000000},{"$f":"ROUND(R143+R169,-6)","v":23000000},null,{"$f":"ROUND(T143+T169,-6)","v":38000000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P169, \" and \",P143, \".\")","v":"Sum of Rows 169 and 143."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"B. Operating Costs for non-E-ZPass Transactions, per day and per year",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"1. Weekdays",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Total Weekday Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I135","v":432300},{"$f":"J135","v":432300},432300,864600,864600,864600,{"$f":"INDEX($I181:$N181,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":432300},{"$f":"ROW()","v":181},{"$f":"Q135","v":785400},{"$f":"R135","v":383600},null,{"$f":"T135","v":632000}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P135, \".\")","v":"Copied from Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Percent not expected to use E-ZPass ",null,null,null,null,null,null,{"$f":"1-I137","v":5.0000000000000044E-2},5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,{"$f":"1-J137","v":5.0000000000000044E-2},{"$f":"ROW()","v":183},{"$f":"1-Q137","v":5.0000000000000044E-2},{"$f":"1-R137","v":5.0000000000000044E-2},null,{"$f":"1-T137","v":5.0000000000000044E-2}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",P137, \".\")","v":"Complement of Row 137."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Weekday Vehicle Entries to CBD tolled per day w/o E-ZPass",null,null,null,null,null,null,{"$f":"I183*I181","v":21615.000000000018},{"$f":"J183*J181","v":21615.000000000018},21615.000000000018,43230.000000000036,43230.000000000036,43230.000000000036,{"$f":"INDEX($I185:$N185,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":21615.000000000018},{"$f":"ROW()","v":185},{"$f":"Q183*Q181","v":39270.000000000036},{"$f":"R183*R181","v":19180.000000000018},null,{"$f":"T183*T181","v":31600.000000000029}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P181, \" and \",P183, \".\")","v":"Product of Rows 181 and 183."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Daily cost of weekday transactions not using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I185*$J$105,-3)","v":12000},{"$f":"ROUND(J185*$J$105,-3)","v":12000},12000,24000,24000,24000,{"$f":"INDEX($I187:$N187,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":12000},{"$f":"ROW()","v":187},{"$f":"ROUND(Q185*$J$105,-3)","v":21000},{"$f":"ROUND(R185*$J$105,-3)","v":10000},null,{"$f":"ROUND(T185*$J$105,-3)","v":17000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P185, \" and Cell I\",P105, \".\")","v":"Product of Row 185 and Cell I105."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Annual cost of weekday transactions not using E-ZPass",null,null,null,null,null,null,{"$f":"I187*weekday_per_yr","v":3000000},{"$f":"J187*weekday_per_yr","v":3000000},3000000,6000000,6000000,6000000,{"$f":"INDEX($I189:$N189,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":3000000},{"$f":"ROW()","v":189},{"$f":"Q187*weekday_per_yr","v":5250000},{"$f":"R187*weekday_per_yr","v":2500000},null,{"$f":"T187*weekday_per_yr","v":4250000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P189, \" and number of weekdays in year.\")","v":"Product of Row 189 and number of weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"2. Weekends (and Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Total Weekend Vehicle Entries to CBD to be tolled per day (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I161","v":389100},389100,389100,778200,778200,778200,{"$f":"INDEX($I194:$N194,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":389100},{"$f":"ROW()","v":194},{"$f":"Q161","v":707000},{"$f":"R161","v":345200},null,{"$f":"T161","v":538000}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P161, \".\")","v":"Copied from Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Percent not expected to use E-ZPass ",null,null,null,null,null,null,{"$f":"1-I163","v":5.0000000000000044E-2},{"$f":"1-J163","v":5.0000000000000044E-2},5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,5.0000000000000044E-2,{"$f":"ROW()","v":196},{"$f":"1-Q163","v":5.0000000000000044E-2},{"$f":"1-R163","v":5.0000000000000044E-2},null,{"$f":"1-T163","v":5.0000000000000044E-2}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",P163, \".\")","v":"Complement of Row 163."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Weekend Vehicle Entries to CBD tolled per day w/o E-ZPass",null,null,null,null,null,null,{"$f":"I196*I194","v":19455.000000000018},{"$f":"J196*J194","v":19455.000000000018},19455.000000000018,38910.000000000036,38910.000000000036,38910.000000000036,{"$f":"INDEX($I198:$N198,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":19455.000000000018},{"$f":"ROW()","v":198},{"$f":"Q196*Q194","v":35350.000000000029},{"$f":"R196*R194","v":17260.000000000015},null,{"$f":"T196*T194","v":26900.000000000025}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P194, \" and \",P196, \".\")","v":"Product of Rows 194 and 196."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Daily cost of weekend transactions not using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I198*$J$105,-3)","v":11000},{"$f":"ROUND(J198*$J$105,-3)","v":11000},11000,21000,21000,21000,{"$f":"INDEX($I200:$N200,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":11000},{"$f":"ROW()","v":200},{"$f":"ROUND(Q198*$J$105,-3)","v":19000},{"$f":"ROUND(R198*$J$105,-3)","v":9000},null,{"$f":"ROUND(T198*$J$105,-3)","v":15000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P198, \" and Cell I\",P125, \".\")","v":"Product of Row 198 and Cell I125."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Annual cost of weekend transactions not using E-ZPass",null,null,null,null,null,null,{"$f":"I200*wkend_per_yr","v":1265000},{"$f":"J200*wkend_per_yr","v":1265000},1265000,2415000,2415000,2415000,{"$f":"INDEX($I202:$N202,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":1265000},{"$f":"ROW()","v":202},{"$f":"Q200*wkend_per_yr","v":2185000},{"$f":"R200*wkend_per_yr","v":1035000},null,{"$f":"T200*wkend_per_yr","v":1725000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P202, \" and number of weekend days and holidays in year.\")","v":"Product of Row 202 and number of weekend days and holidays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"3. Weekdays and Weekends Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Annual cost of transactions not using E-ZPass",null,null,null,null,null,null,{"$f":"ROUND(I189+I202,-6)","v":4000000},4000000,4000000,8000000,8000000,8000000,{"$f":"INDEX($I207:$N207,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":4000000},{"$f":"ROW()","v":207},{"$f":"ROUND(Q189+Q202,-6)","v":7000000},{"$f":"ROUND(R189+R202,-6)","v":4000000},null,{"$f":"ROUND(T189+T202,-6)","v":6000000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P202, \" and \",P189, \".\")","v":"Sum of Rows 202 and 189."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,{"$f":"I61","v":"Baseline"},"Fix NYC lower-range plan","Fix NYC higher-range plan","Fix NYC turbo-charged","Move NY Plan (Flat Toll)","Move NY Plan w Variable Tolls","Figures in column assume values of plan chosen in 'Results' tab.",{"$f":"ROW()","v":209},"If Just Bridges (East & Harlem Rivers) Tolled","If Only East River Bridges are Tolled",null,"A trial balloon idea to toll NYC borders"]
[null,"C. Operating Costs for Transactions Requiring Manual Review, per day and per year",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"1. Weekdays",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Total Weekday Vehicle Entries to CBD to be tolled (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I135","v":432300},{"$f":"J135","v":432300},432300,864600,864600,864600,{"$f":"INDEX($I214:$N214,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":432300},{"$f":"ROW()","v":214},{"$f":"Q135","v":785400},{"$f":"R135","v":383600},null,{"$f":"T135","v":632000}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P135, \".\")","v":"Copied from Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Percent requiring manual review",null,null,null,null,null,null,0.1,0.1,0.1,0.1,0.1,0.1,{"$f":"INDEX($I216:$N216,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0.1},{"$f":"ROW()","v":216},0.1,0.1,null,0.1]
[null,"Taken directly from Mark Page spreadsheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Weekday Vehicle Entries to CBD requiring manual review",null,null,null,null,null,null,{"$f":"I216*I214","v":43230},{"$f":"J216*J214","v":43230},43230,86460,86460,86460,{"$f":"INDEX($I218:$N218,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":43230},{"$f":"ROW()","v":218},{"$f":"Q216*Q214","v":78540},{"$f":"R216*R214","v":38360},null,{"$f":"T216*T214","v":63200}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P214, \" and \",P216, \".\")","v":"Product of Rows 214 and 216."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Daily cost of weekday transactions requiring manual review",null,null,null,null,null,null,{"$f":"ROUND(I218*$J$106,-3)","v":30000},{"$f":"ROUND(J218*$J$106,-3)","v":30000},30000,60000,60000,60000,{"$f":"INDEX($I220:$N220,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":30000},{"$f":"ROW()","v":220},{"$f":"ROUND(Q218*$J$106,-3)","v":54000},{"$f":"ROUND(R218*$J$106,-3)","v":26000},null,{"$f":"ROUND(T218*$J$106,-3)","v":44000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P218, \" and Cell I\",P106, \".\")","v":"Product of Row 218 and Cell I106."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Annual cost of weekday transactions requiring manual review",null,null,null,null,null,null,{"$f":"I220*weekday_per_yr","v":7500000},{"$f":"J220*weekday_per_yr","v":7500000},7500000,15000000,15000000,15000000,{"$f":"INDEX($I222:$N222,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":7500000},{"$f":"ROW()","v":222},{"$f":"Q220*weekday_per_yr","v":13500000},{"$f":"R220*weekday_per_yr","v":6500000},null,{"$f":"T220*weekday_per_yr","v":11000000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P222, \" and number of weekdays in year.\")","v":"Product of Row 222 and number of weekdays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"2. Weekends (and Holidays)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,"Total Weekend Vehicle Entries to CBD to be tolled (in-bound + out-bound, as applicable)",null,null,null,null,null,null,{"$f":"I161","v":389100},{"$f":"J161","v":389100},389100,778200,778200,778200,{"$f":"INDEX($I227:$N227,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":389100},{"$f":"ROW()","v":227},{"$f":"Q161","v":707000},{"$f":"R161","v":345200},null,{"$f":"T161","v":538000}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",P161, \".\")","v":"Copied from Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Percent requiring manual review",null,null,null,null,null,null,0.1,0.1,0.1,0.1,0.1,0.1,{"$f":"INDEX($I229:$N229,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":0.1},{"$f":"ROW()","v":229},0.1,0.1,null,0.1]
[null,"Taken directly from Mark Page spreadsheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,"Weekend Vehicle Entries to CBD requiring manual review",null,null,null,null,null,null,{"$f":"I229*I227","v":38910},{"$f":"J229*J227","v":38910},38910,77820,77820,77820,{"$f":"INDEX($I231:$N231,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":38910},{"$f":"ROW()","v":231},{"$f":"Q229*Q227","v":70700},{"$f":"R229*R227","v":34520},null,{"$f":"T229*T227","v":53800}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P227, \" and \",P229, \".\")","v":"Product of Rows 227 and 229."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"Daily cost of weekend transactions requiring manual review",null,null,null,null,null,null,{"$f":"ROUND(I231*$J$106,-3)","v":27000},{"$f":"ROUND(J231*$J$106,-3)","v":27000},27000,54000,54000,54000,{"$f":"INDEX($I233:$N233,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":27000},{"$f":"ROW()","v":233},{"$f":"ROUND(Q231*$J$106,-3)","v":49000},{"$f":"ROUND(R231*$J$106,-3)","v":24000},null,{"$f":"ROUND(T231*$J$106,-3)","v":37000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P231, \" and Cell I\",P130, \".\")","v":"Product of Row 231 and Cell I130."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Annual cost of weekend transactions requiring manual review",null,null,null,null,null,null,{"$f":"I233*wkend_per_yr","v":3105000},{"$f":"J233*wkend_per_yr","v":3105000},3105000,6210000,6210000,6210000,{"$f":"INDEX($I235:$N235,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":3105000},{"$f":"ROW()","v":235},{"$f":"Q233*wkend_per_yr","v":5635000},{"$f":"R233*wkend_per_yr","v":2760000},null,{"$f":"T233*wkend_per_yr","v":4255000}]
[null,{"$f":"CONCATENATE(\"Product of Row \",P235, \" and number of weekend days and holidays in year.\")","v":"Product of Row 235 and number of weekend days and holidays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"3. Weekdays and Weekends Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,"Annual cost of transactions requiring manual review",null,null,null,null,null,null,{"$f":"ROUND(I222+I235,-6)","v":11000000},{"$f":"ROUND(J222+J235,-6)","v":11000000},11000000,21000000,21000000,21000000,{"$f":"INDEX($I240:$N240,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":11000000},{"$f":"ROW()","v":240},{"$f":"ROUND(Q222+Q235,-6)","v":19000000},{"$f":"ROUND(R222+R235,-6)","v":9000000},null,{"$f":"ROUND(T222+T235,-6)","v":15000000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P235, \" and \",P222, \".\")","v":"Sum of Rows 235 and 222."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,"D. Total Charging Costs",null,null,null,null,null,null,{"$f":"ROUND(I174+I207+I240,-6)","v":41000000},{"$f":"ROUND(J174+J207+J240,-6)","v":41000000},41000000,82000000,82000000,82000000,{"$f":"INDEX($I243:$N243,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":41000000},{"$f":"ROW()","v":243},{"$f":"ROUND(Q174+Q207+Q240,-6)","v":74000000},{"$f":"ROUND(R174+R207+R240,-6)","v":36000000},null,{"$f":"ROUND(T174+T207+T240,-6)","v":59000000}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"E. Annual Administrative Costs",null,null,null,null,null,null,20000000,20000000,20000000,20000000,20000000,20000000,{"$f":"INDEX($I245:$N245,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":20000000},{"$f":"ROW()","v":245},20000000,20000000,null,{"$f":"20000000*1.5","v":30000000}]
[null,{"$f":"CONCATENATE(\"Komanoff assumption. Is intended to cover office space, computer, legal, administration and other costs not included in per-transaction cost figures in Rows \",P104, \" and \",P105, \".\")","v":"Komanoff assumption. Is intended to cover office space, computer, legal, administration and other costs not included in per-transaction cost figures in Rows 104 and 105."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246},null,null,"Adds 50% to CBD figures to reflect nearly 4-fold more toll installations."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"F. Cordon-Tolling Total Costs",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"1. Calculated Costs",null,null,null,null,null,null,{"$f":"ROUND((I97+I243+I245),-6)","v":113000000},113000000,113000000,161000000,158000000,158000000,{"$f":"INDEX($I250:$N250,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":113000000},{"$f":"ROW()","v":250},{"$f":"ROUND(IF('Policy Levers'!$K$34>1.99,Q97+Q243+Q245,0),-6)","v":143000000},{"$f":"ROUND(IF('Policy Levers'!$K$34>1.99,R97+R243+R245,0),-6)","v":94000000},null,{"$f":"ROUND(IF('Policy Levers'!$K$34>1.99,T97+T243+T245,0),-6)","v":178000000}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P97, \", \",P243, \", and \",P245,\", with 'IF' statement to indicate that some toll option is invoked.\")","v":"Sum of Rows 97, 243, and 245, with 'IF' statement to indicate that some toll option is invoked."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"2. Costs that will be debited against congestion pricing revenues",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O250*IF('Policy Levers'!$K$43=\"YES\",1,0)","v":113000000},{"$f":"ROW()","v":253}]
[null,{"$f":"CONCATENATE(\"Product of selected result in Cell O\",P250,\" and IF statement from 'Policy Levers' tab, Cell K\",'Policy Levers'!$O$43,\", that applies cost if and only if value of that cell = YES.\")","v":"Product of selected result in Cell O250 and IF statement from 'Policy Levers' tab, Cell K43, that applies cost if and only if value of that cell = YES."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"Annual toll transactions",null,null,null,null,null,null,{"$f":"ROUND(I135*weekday_per_yr+I161*wkend_per_yr,-5)","v":152800000},152800000,152800000,305600000,305600000,305600000,{"$f":"INDEX($I256:$N256,1,MATCH(Results!$K$27,$I$61:$N$61,0))","v":152800000},{"$f":"ROW()","v":256},{"$f":"ROUND(Q135*weekday_per_yr+Q161*wkend_per_yr,-5)","v":277700000},{"$f":"ROUND(R135*weekday_per_yr+R161*wkend_per_yr,-5)","v":135600000},null,{"$f":"T135*weekday_per_yr+T161*wkend_per_yr","v":219870000}]
[null,{"$f":"CONCATENATE(\"Calculated as Row \",P135, \" times # weekdays in year, plus Row \",P161, \" times # weekend days and holidays in year.\")","v":"Calculated as Row 135 times # weekdays in year, plus Row 161 times # weekend days and holidays in year."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Toll administration cost (fully loaded) per transaction",null,null,null,null,null,null,{"$f":"I250/I256","v":0.73952879581151831},0.73952879581151831,0.73952879581151831,0.52683246073298429,0.51701570680628273,0.51701570680628273,0.73952879581151831,{"$f":"ROW()","v":259},{"$f":"Q250/Q256","v":0.51494418437162404},{"$f":"R250/R256","v":0.69321533923303835},null,{"$f":"T250/T256","v":0.80956929094464913}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P250, \" to Row \",P256, \".\")","v":"Ratio of Row 250 to Row 256."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"II - Spatial and Other Issues pertaining to the CBD ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"1. Spatial Implications of Reduced VMT w/i CBD -- using Times Square as a metric",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"Definition of Times Square, from Wikipedia: Times Square is a major intersection in Manhattan, New York City at the junction of Broadway and Seventh Avenue and stretching from West 42nd to West 47th Streets.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Source: http://en.wikipedia.org/wiki/Times_Square (accessed 12-14-2008)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"We measure acreage of Times Square as sum of square footage of five trapezoids, each bounded by Broadway and 7th Avenue, and by successive streets (e.g., 47th to 46th Street), using \"outer\" dimensions. \"Base 1\" and \"Base 2\" denote bases of the respective trapezoids.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"Figures in cols. at right are inches on a map",null,null,"Base 1","Base 2","Height",null,"One inch (in grid at left) = feet:",null,{"$f":"200/(3/4)","v":266.66666666666669},null,null,null,null,{"$f":"ROW()","v":273}]
[null,"Top of 47th to top of 46th Street",null,null,{"$f":"11/16","v":0.6875},{"$f":"1/2","v":0.5},1,null,"Numbers at length are fractions of an inch read from a non-replicable Google Maps image of the Times Square area in which 3/4 inch on a ruler equals approximately 200 feet. The numbers are converted to feet and square feet below.",null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Top of 46th to top of 45th Street",null,null,{"$f":"F274","v":0.5},{"$f":"5/16","v":0.3125},1,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Top of 45th to top of 44th Street",null,null,{"$f":"F275","v":0.3125},{"$f":"6.5/16","v":0.40625},1,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,"Top of 44th to top of 43rd Street",null,null,{"$f":"F276","v":0.40625},{"$f":"8.5/16","v":0.53125},1,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Top of 43rd to bottom of 42nd Street",null,null,{"$f":"F277","v":0.53125},{"$f":"12.5/16","v":0.78125},{"$f":"1+2.5/16","v":1.15625},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Figures in cols. are in feet",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"Top of 47th to top of 46th Street",null,null,{"$f":"E274*$K$273","v":183.33333333333334},133.33333333333334,266.66666666666669,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,"Top of 46th to top of 45th Street",null,null,133.33333333333334,83.333333333333343,266.66666666666669,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"Top of 45th to top of 44th Street",null,null,83.333333333333343,108.33333333333334,266.66666666666669,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,"Top of 44th to top of 43rd Street",null,null,108.33333333333334,141.66666666666669,266.66666666666669,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,"Top of 43rd to bottom of 42nd Street",null,null,141.66666666666669,208.33333333333334,308.33333333333337,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"Respective areas in feet and acres",null,null,"Square feet","Acres",null,"Assumptions & conversions to calculate number of acres per lane-mile:",null,null,null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,"Top of 47th to top of 46th Street",null,null,{"$f":"AVERAGE(E280:F280)*G280","v":42222.222222222226},{"$f":"E287/Constants!$J$10","v":0.96928884807672699},null,null,"feet per mile",{"$f":"Constants!J9","v":5280},null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"Top of 46th to top of 45th Street",null,null,{"$f":"AVERAGE(E281:F281)*G281","v":28888.888888888894},{"$f":"E288/Constants!$J$10","v":0.66319763289460276},null,null,"Street lane width, ft",12,"CK assumption",null,null,null,null,{"$f":"ROW()","v":288}]
[null,"Top of 45th to top of 44th Street",null,null,{"$f":"AVERAGE(E282:F282)*G282","v":25555.555555555558},{"$f":"E289/Constants!$J$10","v":0.58667482909907154},null,null,"Ave lane width, ft",11,"CK assumption",null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Top of 44th to top of 43rd Street",null,null,{"$f":"AVERAGE(E283:F283)*G283","v":33333.333333333343},{"$f":"E290/Constants!$J$10","v":0.76522803795531091},null,null,"CBD lane, avg ft",{"$f":"(J288*F316+J289*F309)/F320","v":11.573359073359073},"Wghtd by # street & ave lane-mi",null,null,null,null,{"$f":"ROW()","v":290}]
[null,"Top of 43rd to bottom of 42nd Street",null,null,{"$f":"AVERAGE(E284:F284)*G284","v":53958.333333333343},{"$f":"E291/Constants!$J$10","v":1.2387128864401593},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Totals, denoting all of \"Times Square\"",null,null,{"$f":"SUM(E287:E291)","v":183958.33333333337},{"$f":"SUM(F287:F291)","v":4.2231022344658715},null,null,"lane miles",1,null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,"Times Sq's acreage as % of street space in entire CBD",null,null,null,{"$f":"F292/G322","v":3.3516684400522788E-3},null,null,"lane width, miles",{"$f":"J290/J287","v":2.191924066924067E-3},null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"calculated as ratio of Times Square acres just above, to total CBD acres est'd in Part 5.",null,null,null,null,null,null,"lane-mile sq mi",{"$f":"J293*J292","v":2.191924066924067E-3},null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,null,null,null,null,null,null,null,"sq feet per acre",{"$f":"Constants!J10","v":43560},null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,"One lane-mile's acreage as % of CBD's street space",null,null,null,{"$f":"1/G320","v":1.1111111111111111E-3},null,null,"sq feet per sq mile",{"$f":"J287^2","v":27878400},null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,{"$f":"CONCATENATE(\"Reciprocal of figure in Row \",P320, \".\")","v":"Reciprocal of figure in Row 320."},null,null,null,null,null,null,"sq miles per acre",{"$f":"J295/J296","v":1.5625000000000001E-3},null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,null,null,null,null,null,null,null,"lane-mile acres",{"$f":"J294/J297","v":1.4028314028314028},null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,"2. Acreage of Street Space for the Entire CBD Cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"Lane-Miles in the CBD (Manhattan south of 60th Street) (Note: \"BTK\" cite denotes transportation engineer Brian T. Ketcham.)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"Avenues",null,null,null,null,"Source",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,"  North-South miles south of 60th St.",null,null,null,5,"CK",null,"[BTK implies 6, but Mapquest shows 5]",null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,"  Number of lanes @ 60th St. (excludes W Side Hwy, FDR)",null,null,null,91,"BTK",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"  Number of avenues @ 60th St. (excludes W Side Hwy, FDR)",null,null,null,15,"BTK",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"  Implied lanes per avenue @ 60th St.",null,null,null,{"$f":"F305/F306","v":6.0666666666666664},"BTK",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"  Adjusted lanes/ave. reflecting narrowing in south",null,null,null,{"$f":"F307*0.85","v":5.1566666666666663},"CK",null,"[take 15% off BTK figure)",null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,"  Implied lane-miles south of 60th St.",null,null,null,{"$f":"F306*F308*F304","v":386.75},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,"  Avenue miles south of 60th St. (may be useful for redesign)",null,null,null,{"$f":"F309/F308","v":75},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,"Streets",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,"  Number of lane-miles",null,null,null,165,"BTK",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"  Lanes per street",null,null,null,3.5,"BTK",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,"  Adjusted lanes per street reflecting narrowing in south",null,null,null,{"$f":"F314*0.9","v":3.15},"CK",null,"[take 10% off BTK figure)",null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"  Implied lane-miles south of 60th St.",null,null,null,{"$f":"F313*F315","v":519.75},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,"  Street miles south of 60th St. (may be useful for redesign)",null,null,null,{"$f":"F316/F315","v":165},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,null,null,null,null,null,"Adj'd, to approx subsequent lane re-assignments",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,null,null,null,null,"Calculated",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,"Total Lane-Miles, Streets + Avenues Combined ",null,null,null,{"$f":"F316+F309","v":906.5},{"$f":"ROUND(0.99*F320,-1)","v":900},"(Adjustment removes 1% of lane-miles from service.)",null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,"Same as above, but expressed in acres",null,null,null,{"$f":"F320*$J$298","v":1271.6666666666667},{"$f":"G320*$J$298","v":1262.5482625482625},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Total acres, CBD Streets and Avenues (rounded)",null,null,null,{"$f":"ROUND(F321,-1)","v":1270},{"$f":"ROUND(G321,-1)","v":1260},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,"3. Cordon VMT breakdowns (all VMT figures are 24-hour weekdays, from Motor V's worksheet)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,null,null,null,"Baseline","% of Baseline","With Pricing",null,"% of After","% Change","Delta",null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Total VMT",null,null,{"$f":"'Motor Vs'!N164","v":3236744.7183148847},null,{"$f":"'Motor Vs'!N968","v":3022241.4081148021},null,null,{"$f":"G327/E327-1","v":-6.6271309252883381E-2},{"$f":"G327-E327","v":-214503.3102000826},null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Intra-cordon VMT",null,null,{"$f":"'Motor Vs'!N160","v":1479469.7183148849},{"$f":"E328/E$327","v":0.45708569784432274},{"$f":"'Motor Vs'!N972","v":1508299.295267724},null,{"$f":"G328/G$327","v":0.49906645154748341},{"$f":"G328/E328-1","v":1.9486425842953903E-2},{"$f":"G328-E328","v":28829.576952839037},null,null,null,null,{"$f":"ROW()","v":328}]
[null,"VMT other than intra-cordon",null,null,{"$f":"E327-E328","v":1757274.9999999998},{"$f":"E329/E$327","v":0.54291430215567726},{"$f":"G327-G328","v":1513942.1128470781},null,{"$f":"G329/G$327","v":0.50093354845251659},{"$f":"G329/E329-1","v":-0.13847171737657549},{"$f":"G329-E329","v":-243332.88715292164},null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Cordon VMT by medallion taxis",null,null,{"$f":"'Motor Vs'!AX164","v":640188.01435896556},{"$f":"E330/E$327","v":0.19778761381350474},{"$f":"'Motor Vs'!AX968","v":632517.43270702346},null,{"$f":"G330/G$327","v":0.20928752779599161},{"$f":"G330/E330-1","v":-1.1981763919186816E-2},{"$f":"G330-E330","v":-7670.581651942106},null,null,null,null,{"$f":"ROW()","v":330}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"4. Distances between Manhattan Avenues (used in the tab, BdB Plan).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"1st and 2nd",null,650,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"2nd and 3rd",null,610,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"3rd and Lex",null,420,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"Lex and Park",null,405,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"4th and Madison",null,420,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,"Madison and 5th",null,920,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,"5th and 6th",null,800,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,"6th and 7th",null,800,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,"7th and 8th",null,800,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,"8th and 9th",null,800,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,"Source: 1892 World Almanac, p 421, \"Street Directory: Distances between the Avenues,\" compiled on the Web site, http://stuffnobodycaresabout.com/2012/11/19/all-new-york-city-streets-are-not-created-equal/. These figures are under the heading, \"42d to 110th Streets\").",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,"5. Relative land area of south part of Manhattan Taxi Zone (60-96 Streets) and northern extension (96-110 Streets on W side)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Used as a proxy for population, which would be proxy for taxi and UberLyft VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,"Northern Extension",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":351}]
[null,"North-South distance, in blocks",null,null,null,null,null,null,14,null,null,null,null,null,null,{"$f":"ROW()","v":352}]
[null,"North-South distance, in miles",null,null,null,null,null,null,{"$f":"I352/20","v":0.7},null,null,null,null,null,null,{"$f":"ROW()","v":353}]
[null,"West-East distance in miles (from Google maps, measured at 104 St)",null,null,null,null,null,null,0.6,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Square miles",null,null,null,null,null,null,{"$f":"I353*I354","v":0.42},null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,"Main Portion",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,"North-South distance, in blocks",null,null,null,null,null,null,36,null,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,"North-South distance, in miles",null,null,null,null,null,null,{"$f":"I358/20","v":1.8},null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"West-East distance in miles (from Google maps, avg at 104 St & 77 St for W side, 71 St for E side)",null,null,null,null,null,null,{"$f":"0.65+1","v":1.65},null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Square miles",null,null,null,null,null,null,{"$f":"I359*I360","v":2.9699999999999998},null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Main Portion, % of entire zone",null,null,null,null,null,null,{"$f":"I361/(I361+I355)","v":0.87610619469026552},null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]

{"sheet":"Crashes","index":50,"n_rows":203,"n_cols":16,"rows_kept":203,"cut":false,"hidden":false,"merged":[[3,13,9,14],[179,1,180,11],[149,11,151,11],[149,12,151,12],[149,13,151,13],[149,14,151,14],[149,6,151,6],[149,7,151,7],[149,8,151,8],[149,9,151,9],[149,10,151,10],[78,11,80,11],[108,6,110,6],[108,7,110,7],[108,8,110,8],[108,9,110,9],[108,10,110,10],[94,6,96,6],[94,7,96,7],[94,8,96,8],[94,9,96,9],[94,10,96,10],[78,12,80,12],[78,13,80,13],[78,14,80,14],[133,6,135,6],[133,7,135,7],[133,8,135,8],[133,9,135,9],[133,10,135,10],[94,11,96,11],[78,6,80,6],[78,7,80,7],[78,8,80,8],[78,9,80,9],[78,10,80,10],[94,13,96,13],[133,11,135,11],[133,12,135,12],[133,13,135,13],[133,14,135,14],[94,14,96,14],[108,11,110,11],[108,12,110,12],[108,13,110,13],[108,14,110,14],[94,12,96,12],[64,11,66,11],[64,12,66,12],[64,13,66,13],[64,14,66,14],[46,7,48,7],[46,8,48,8],[46,9,48,9],[46,10,48,10],[46,11,48,11],[64,6,66,6],[64,7,66,7],[64,8,66,8],[64,9,66,9],[64,10,66,10],[42,1,43,14],[4,1,5,11],[7,1,9,11],[46,6,48,6],[18,14,20,14],[18,8,20,8],[18,9,20,9],[18,10,20,10],[18,11,20,11],[18,12,20,12],[18,13,20,13],[18,6,20,6],[18,7,20,7],[46,12,48,12],[46,13,48,13],[46,14,48,14]]}
[null,"Crashes",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note: Further below, beginning at Row \",P178, \", we present crash data for central London, before and after initiation of the congestion charging scheme there.\")","v":"Note: Further below, beginning at Row 178, we present crash data for central London, before and after initiation of the congestion charging scheme there."},null,{"$f":"ROW()","v":4}]
[null,"This worksheet subdivides recent NYC crash data by geographical districts and highways vs. surface streets and applies projected reductions in VMT in each to estimate reductions in fatalities and injuries from implementing the user-selected plan.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"We divide NYC into eight districts corresponding to the areas for which VMT reductions were estimated in the January 2008 report by the NY State Traffic Congestion Mitigation Commission. These areas are shown in the map at right, which was prepared by Michael Cohen of Sam Schwartz Engineering Co.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,{"$f":"CONCATENATE(\"(See 'Approaches' tab, Rows \",Approaches!O141, \"-\",Approaches!O158, \" for link to TCMC report and details about the districts shown here.)\")","v":"(See 'Approaches' tab, Rows 141-158 for link to TCMC report and details about the districts shown here.)"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,{"$f":"CONCATENATE(\"Key results -- projected percentage changes in injuries and fatalities -- are shown in Rows \",P121, \" and \",P146, \". They are:\")","v":"Key results -- projected percentage changes in injuries and fatalities -- are shown in Rows 121 and 146. They are:"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,"Projected change in citywide injuries in traffic crashes:",{"$f":"O121","v":-2.8842743288595055E-2},null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,"Projected change in citywide fatalities in traffic crashes:",{"$f":"O146","v":-2.7849236633776961E-2},null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":19}]
[]
[null,"VMT Figures",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Projected VMT Change resulting from pricing plan being modeled.",null,null,null,null,{"$f":"-Approaches!M147","v":-1.6484461546851764E-2},{"$f":"-Approaches!M152","v":-1.2680355036039818E-2},{"$f":"Results!H122","v":-6.3871587999431156E-2},{"$f":"-Approaches!M146","v":-4.8185349136951314E-2},{"$f":"-Approaches!M150","v":-7.7350165719842892E-2},{"$f":"-Approaches!M151","v":-1.1412319532435836E-2},{"$f":"-Approaches!M148","v":-5.9597668669387149E-2},{"$f":"-Approaches!M149","v":-1.39483905396438E-2},null,{"$f":"ROW()","v":23}]
[null,{"$f":"CONCATENATE(\"Data are from 'Approaches' tab, Cells M\",Approaches!O146,\" -M\",Approaches!O152, \", except that (i) Manhattan CBD figure is from 'Results' tab, Cell F\",Results!N122, \", and (ii) figure for Manhattan north of 60th St is actually for area north of 86th St.\")","v":"Data are from 'Approaches' tab, Cells M146 -M152, except that (i) Manhattan CBD figure is from 'Results' tab, Cell F122, and (ii) figure for Manhattan north of 60th St is actually for area north of 86th St."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Est'd share of area VMT now taking place on surface streets (non-highway)",null,null,null,null,{"$f":"VMT!L57","v":0.38134233930181927},{"$f":"VMT!L61","v":0.58911208123777725},{"$f":"VMT!L59","v":0.51119929448255141},{"$f":"VMT!L59","v":0.51119929448255141},{"$f":"VMT!L60","v":0.42845066670941634},{"$f":"VMT!L60","v":0.42845066670941634},{"$f":"VMT!L58","v":0.56392672719307535},{"$f":"VMT!L58","v":0.56392672719307535},null,{"$f":"ROW()","v":26}]
[null,{"$f":"CONCATENATE(\"Data are 2014 projections prepared in 2013 by NYMTC (which presents them by borough) and are shown and fully referenced in 'VMT' tab, Cells L\",VMT!O57,\" -L\",VMT!O61, \".\")","v":"Data are 2014 projections prepared in 2013 by NYMTC (which presents them by borough) and are shown and fully referenced in 'VMT' tab, Cells L57 -L61."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Changes we apply to above %'s to est % of VMT reduxn occurring on streets",null,null,null,null,0.1,0,0.03,0.05,0.1,0.03,0.05,0.03,null,{"$f":"ROW()","v":29}]
[null,"Komanoff assumptions. Note that figures are percentage points, not percents.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Share of drop in area VMT occurring on surface streets (non-highway)",null,null,null,null,{"$f":"G26+G29","v":0.48134233930181924},0.58911208123777725,0.54119929448255144,0.56119929448255146,0.52845066670941632,0.45845066670941637,0.61392672719307539,0.59392672719307538,null,{"$f":"ROW()","v":32}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",P26, \" and \",P29, \".\" )","v":"Sum of Rows 26 and 29."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Projected Change in Surface Street VMT ",null,null,null,null,{"$f":"G$32*G$23/G$26","v":-2.080720776407809E-2},-1.2680355036039818E-2,-6.7619925801662498E-2,-5.2898320150118083E-2,-9.5403624782914739E-2,-1.2211407064735738E-2,-6.48818364340569E-2,-1.4690422608725084E-2,null,{"$f":"ROW()","v":35}]
[null,"Projected Change in Highway VMT ",null,null,null,null,{"$f":"(1-G32)*G23/((1-G26))","v":-1.3819908500139569E-2},-1.2680355036039816E-2,-5.9951488011125112E-2,-4.3256413008888446E-2,-6.3816746780393799E-2,-1.0813299349870055E-2,-5.2764222046326782E-2,-1.2988800162788514E-2,null,{"$f":"ROW()","v":36}]
[null,{"$f":"CONCATENATE(\"Both sets of figures are calculated via algebra on Rows \",P23, \", \",P26,\" and \",P32,\".\" )","v":"Both sets of figures are calculated via algebra on Rows 23, 26 and 32."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Percentages of crashes occurring on surface streets (non-highway)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Pedestrian crashes",null,null,null,null,0.98,0.98,0.98,0.98,0.98,0.98,0.98,0.98,null,{"$f":"ROW()","v":40}]
[null,"Bicyclist crashes",null,null,null,null,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,null,{"$f":"ROW()","v":41}]
[null,"Motor Vehicle Occupant crashes",null,null,null,null,0.85,0.85,0.9,0.8,0.75,0.75,0.8,0.9,null,{"$f":"ROW()","v":42}]
[null,"Estimates for m.v. occupants are by Michael Cohen, Sam Schwartz Engineering, via e-mail, 30-March-2015. Estimates for pedestrians and bicyclists are by Komanoff and are less than 100% in order to allow for occasional pedestrian or bicyclist injury or death on highways, e.g., occupant leaves vehicle and is struck on shoulder, bicyclist confusion or choice to ride on limited-access highway.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Injury Crashes",null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":47}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Baseline Data (2014)",null,"Figures are from Michael Cohen, Sam Schwartz Engineering, via e-mail, 1-April-2015.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Injury crashes (figures denote persons suffering injuries, so crashes w/ multiple injuries would be recorded multiple times)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Pedestrian",null,null,null,null,1675,254,1687,1202,386,2083,661,3075,{"$f":"SUM(G53:N53)","v":11023},{"$f":"ROW()","v":53}]
[null,"Bicyclist",null,null,null,null,388,44,803,452,228,551,519,1011,{"$f":"SUM(G54:N54)","v":3996},{"$f":"ROW()","v":54}]
[null,"Motor Vehicle Occupant",null,null,null,null,5533,1880,2206,2387,1555,9836,2242,10523,{"$f":"SUM(G55:N55)","v":36162},{"$f":"ROW()","v":55}]
[null,"T O T A L",null,null,null,null,{"$f":"SUM(G53:G55)","v":7596},2178,4696,4041,2169,12470,3422,14609,{"$f":"SUM(G56:N56)","v":51181},{"$f":"ROW()","v":56}]
[null,"Fatal crashes (figures denote persons suffering fatalities, so crashes w/ multiple injuries would be recorded multiple times)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Pedestrian",null,null,null,null,13,6,12,17,3,32,10,39,{"$f":"SUM(G58:N58)","v":132},{"$f":"ROW()","v":58}]
[null,"Bicyclist",null,null,null,null,1,0,1,5,0,8,1,4,{"$f":"SUM(G59:N59)","v":20},{"$f":"ROW()","v":59}]
[null,"Motor Vehicle Occupant",null,null,null,null,17,7,3,8,8,39,4,25,{"$f":"SUM(G60:N60)","v":111},{"$f":"ROW()","v":60}]
[null,"T O T A L",null,null,null,null,{"$f":"SUM(G58:G60)","v":31},13,16,30,11,79,15,68,{"$f":"SUM(G61:N61)","v":263},{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Baseline Data disaggregated betw surface streets & highways",null,null,null,null,{"$f":"CONCATENATE(\"Figures in this section are calculated by applying percentages in Rows \",P40, \"-\",P42, \" to baseline data in Rows \",P52, \"-\",P61, \".\")","v":"Figures in this section are calculated by applying percentages in Rows 40-42 to baseline data in Rows 52-61."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Injuries",null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":65}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"Injuries on surface streets",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",P40, \" times Figure in Row \",P53, \".\")","v":"Percent in Row 40 times Figure in Row 53."},null,null,{"$f":"G40*G53","v":1641.5},248.92,1653.26,1177.96,378.28,2041.34,647.78,3013.5,{"$f":"SUM(G69:N69)","v":10802.54},{"$f":"ROW()","v":69}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",P41, \" times Figure in Row \",P54, \".\")","v":"Percent in Row 41 times Figure in Row 54."},null,null,384.12,43.56,794.97,447.48,225.72,545.49,513.80999999999995,1000.89,{"$f":"SUM(G70:N70)","v":3956.04},{"$f":"ROW()","v":70}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",P42, \" times Figure in Row \",P55, \".\")","v":"Percent in Row 42 times Figure in Row 55."},null,null,4703.05,1598,1985.4,1909.6000000000001,1166.25,7377,1793.6000000000001,9470.7000000000007,{"$f":"SUM(G71:N71)","v":30003.600000000002},{"$f":"ROW()","v":71}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G69:G71)","v":6728.67},1890.48,4433.63,3535.04,1770.25,9963.83,2955.19,13485.09,{"$f":"SUM(G72:N72)","v":44762.18},{"$f":"ROW()","v":72}]
[null,"Injuries on highways",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P40, \" times Row \",P53, \".\")","v":"Complement of % in Row 40 times Row 53."},null,null,{"$f":"(1-G40)*G53","v":33.500000000000028},5.0800000000000045,33.74000000000003,24.04000000000002,7.7200000000000069,41.660000000000039,13.220000000000011,61.500000000000057,{"$f":"SUM(G74:N74)","v":220.46000000000018},{"$f":"ROW()","v":74}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P41, \" times Row \",P54, \".\")","v":"Complement of % in Row 41 times Row 54."},null,null,3.8800000000000034,0.44000000000000039,8.0300000000000065,4.520000000000004,2.280000000000002,5.5100000000000051,5.1900000000000048,10.110000000000008,{"$f":"SUM(G75:N75)","v":39.960000000000036},{"$f":"ROW()","v":75}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P42, \" times Row \",P55, \".\")","v":"Complement of % in Row 42 times Row 55."},null,null,829.95000000000016,282.00000000000006,220.59999999999994,477.39999999999992,388.75,2459,448.39999999999992,1052.2999999999997,{"$f":"SUM(G76:N76)","v":6158.4},{"$f":"ROW()","v":76}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G74:G76)","v":867.33000000000015},287.52000000000004,262.37,505.95999999999992,398.75,2506.17,466.80999999999995,1123.9099999999999,{"$f":"SUM(G77:N77)","v":6418.82},{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Fatalities",null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":79}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Fatalities on surface streets",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",P40, \" times Figure in Row \",P58, \".\")","v":"Percent in Row 40 times Figure in Row 58."},null,null,{"$f":"G40*G58","v":12.74},5.88,11.76,16.66,2.94,31.36,9.8000000000000007,38.22,{"$f":"SUM(G83:N83)","v":129.36000000000001},{"$f":"ROW()","v":83}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",P41, \" times Figure in Row \",P59, \".\")","v":"Percent in Row 41 times Figure in Row 59."},null,null,0.99,0,0.99,4.95,0,7.92,0.99,3.96,{"$f":"SUM(G84:N84)","v":19.8},{"$f":"ROW()","v":84}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",P42, \" times Figure in Row \",P60, \".\")","v":"Percent in Row 42 times Figure in Row 60."},null,null,14.45,5.95,2.7,6.4,6,29.25,3.2,22.5,{"$f":"SUM(G85:N85)","v":90.45},{"$f":"ROW()","v":85}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G83:G85)","v":28.18},{"$f":"SUM(H83:H85)","v":11.83},{"$f":"SUM(I83:I85)","v":15.45},{"$f":"SUM(J83:J85)","v":28.009999999999998},{"$f":"SUM(K83:K85)","v":8.94},{"$f":"SUM(L83:L85)","v":68.53},{"$f":"SUM(M83:M85)","v":13.990000000000002},{"$f":"SUM(N83:N85)","v":64.680000000000007},{"$f":"SUM(G86:N86)","v":239.61},{"$f":"ROW()","v":86}]
[null,"Fatalities on highways",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P40, \" times Row \",P58, \".\")","v":"Complement of % in Row 40 times Row 58."},null,null,{"$f":"(1-G40)*G58","v":0.26000000000000023},0.12000000000000011,0.24000000000000021,0.3400000000000003,6.0000000000000053E-2,0.64000000000000057,0.20000000000000018,0.78000000000000069,{"$f":"SUM(G88:N88)","v":2.6400000000000023},{"$f":"ROW()","v":88}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P41, \" times Row \",P59, \".\")","v":"Complement of % in Row 41 times Row 59."},null,null,1.0000000000000009E-2,0,1.0000000000000009E-2,5.0000000000000044E-2,0,8.0000000000000071E-2,1.0000000000000009E-2,4.0000000000000036E-2,{"$f":"SUM(G89:N89)","v":0.20000000000000018},{"$f":"ROW()","v":89}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Complement of % in Row \",P42, \" times Row \",P60, \".\")","v":"Complement of % in Row 42 times Row 60."},null,null,2.5500000000000003,1.0500000000000003,0.29999999999999993,1.5999999999999996,2,9.75,0.79999999999999982,2.4999999999999996,{"$f":"SUM(G90:N90)","v":20.55},{"$f":"ROW()","v":90}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G88:G90)","v":2.8200000000000003},{"$f":"SUM(H88:H90)","v":1.1700000000000004},{"$f":"SUM(I88:I90)","v":0.55000000000000016},{"$f":"SUM(J88:J90)","v":1.99},{"$f":"SUM(K88:K90)","v":2.06},{"$f":"SUM(L88:L90)","v":10.47},{"$f":"SUM(M88:M90)","v":1.01},{"$f":"SUM(N88:N90)","v":3.3200000000000003},{"$f":"SUM(G91:N91)","v":23.390000000000004},{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Changes (disaggregated betw surface streets & highways)",null,null,null,null,{"$f":"CONCATENATE(\"Figures in this section are calculated by applying percentage reductions in Rows \",P35, \" and \",P36, \" to disaggregated baseline data in previous section.\")","v":"Figures in this section are calculated by applying percentage reductions in Rows 35 and 36 to disaggregated baseline data in previous section."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":95}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"Changes in injuries on surface streets",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P69, \".\")","v":"Percent in Row 35 times Figure in Row 69."},null,null,{"$f":"G$35*G69","v":-34.155031544734186},-3.1563939755710311,-111.79331853085654,-62.312105204033102,-36.089283182880983,-24.92763369752765,-42.029156005253377,-44.26958853139304,{"$f":"SUM(G99:N99)","v":-358.73251067224987},{"$f":"ROW()","v":99}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P70, \".\")","v":"Percent in Row 35 times Figure in Row 70."},null,null,-7.9924646463376758,-0.55235626536989446,-53.755812414547634,-23.670940300774841,-21.534506185999515,-6.6612004397426983,-33.33693637818277,-14.70349708484685,{"$f":"SUM(G100:N100)","v":-162.20771371580187},{"$f":"ROW()","v":100}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P71, \".\")","v":"Percent in Row 35 times Figure in Row 71."},null,null,-97.857338474847467,-20.263207347591628,-134.25260068662072,-101.01463215866549,-111.26447740307431,-90.08354991655554,-116.37206182812446,-139.12858540045266,{"$f":"SUM(G101:N101)","v":-810.23645321593244},{"$f":"ROW()","v":101}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G99:G101)","v":-140.00483466591933},-23.971957588532554,-299.80173163202488,-186.99767766347344,-168.88826677195482,-121.67238405382588,-191.73815421156061,-198.10167101669256,{"$f":"SUM(G102:N102)","v":-1331.176677603984},{"$f":"ROW()","v":102}]
[null,"Changes in injuries on highways",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P74, \".\")","v":"Percent in Row 36 times Figure in Row 74."},null,null,{"$f":"G$36*G74","v":-0.46296693475467598},-6.4416203583082324E-2,-2.0227632054953633,-1.0398841687336791,-0.49266528514464059,-0.45048205091558691,-0.69754301545244068,-0.79881121001149435,{"$f":"SUM(G104:N104)","v":-6.0295320740909633},{"$f":"ROW()","v":104}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P75, \".\")","v":"Percent in Row 36 times Figure in Row 75."},null,null,-5.3621244980541577E-2,-5.5793562158575243E-3,-0.48141044872933503,-0.19551898680017596,-0.14550218265929799,-5.9581279417784058E-2,-0.27384631242043628,-0.13131676964579198,{"$f":"SUM(G105:N105)","v":-1.3463765808692205},{"$f":"ROW()","v":105}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P76, \".\")","v":"Percent in Row 36 times Figure in Row 76."},null,null,-11.469833059690838,-3.5758601201632287,-13.225298255254195,-20.650611570443342,-24.808760310878089,-26.589903101330464,-23.659477165572923,-13.66811441130235,{"$f":"SUM(G106:N106)","v":-137.64785799463542},{"$f":"ROW()","v":106}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G104:G106)","v":-11.986421239426056},-3.6458556799621684,-15.729471909478892,-21.886014725977198,-25.446927778682028,-27.099966431663834,-24.630866493445801,-14.598242390959635,{"$f":"SUM(G107:N107)","v":-145.02376664959559},{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Changes in All Injuries (surface streets + highways)",null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":109}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Changes in Numbers",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Sum of Rows \",P99, \" and \",P104, \".\")","v":"Sum of Rows 99 and 104."},null,null,{"$f":"G99+G104","v":-34.617998479488861},{"$f":"H99+H104","v":-3.2208101791541135},-113.8160817363519,-63.351989372766781,-36.581948468025622,-25.378115748443236,-42.726699020705816,-45.068399741404534,-364.76204274634085,{"$f":"ROW()","v":113}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Sum of Rows \",P100, \" and \",P105, \".\")","v":"Sum of Rows 100 and 105."},null,null,{"$f":"G100+G105","v":-8.0460858913182172},-0.55793562158575194,-54.237222863276969,-23.866459287575019,-21.680008368658815,-6.7207817191604819,-33.610782690603209,-14.834813854492642,-163.55409029667109,{"$f":"ROW()","v":114}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Sum of Rows \",P101, \" and \",P106, \".\")","v":"Sum of Rows 101 and 106."},null,null,{"$f":"G101+G106","v":-109.32717153453831},-23.839067467754855,-147.47789894187491,-121.66524372910884,-136.07323771395241,-116.673453017886,-140.03153899369738,-152.79669981175502,-947.88431121056783,{"$f":"ROW()","v":115}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G113:G115)","v":-151.99125590534538},{"$f":"SUM(H113:H115)","v":-27.617813268494722},{"$f":"SUM(I113:I115)","v":-315.53120354150377},{"$f":"SUM(J113:J115)","v":-208.88369238945063},{"$f":"SUM(K113:K115)","v":-194.33519455063686},{"$f":"SUM(L113:L115)","v":-148.77235048548971},{"$f":"SUM(M113:M115)","v":-216.36902070500639},{"$f":"SUM(N113:N115)","v":-212.69991340765219},{"$f":"SUM(G116:N116)","v":-1476.2004442535799},{"$f":"ROW()","v":116}]
[null,"Percent Change",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Ratio of Row \",P113, \" to Row \",P53, \".\")","v":"Ratio of Row 113 to Row 53."},null,null,{"$f":"G113/G53","v":-2.0667461778799322E-2},-1.2680355036039818E-2,-6.7466557045851749E-2,-5.2705482007293497E-2,-9.4771887222864309E-2,-1.2183444910438422E-2,-6.4639484146302287E-2,-1.4656390159806352E-2,-3.3090995441017949E-2,{"$f":"ROW()","v":118}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Ratio of Row \",P114, \" to Row \",P54, \".\")","v":"Ratio of Row 114 to Row 54."},null,null,{"$f":"G114/G54","v":-2.0737334771438704E-2},-1.2680355036039816E-2,-6.7543241423757117E-2,-5.2801901078705797E-2,-9.5087756002889531E-2,-1.2197425987587081E-2,-6.4760660290179586E-2,-1.467340638426572E-2,-4.0929452026193969E-2,{"$f":"ROW()","v":119}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Ratio of Row \",P115, \" to Row \",P55, \".\")","v":"Ratio of Row 115 to Row 55."},null,null,{"$f":"G115/G55","v":-1.9759112874487315E-2},-1.2680355036039816E-2,-6.6853082022608756E-2,-5.0969938721872159E-2,-8.7506905282284511E-2,-1.1861880136019317E-2,-6.2458313556510874E-2,-1.4520260364131428E-2,-2.6212165013289306E-2,{"$f":"ROW()","v":120}]
[null,"T O T A L",null,{"$f":"CONCATENATE(\"Ratio of Row \",P116, \" to Row \",P56, \".\")","v":"Ratio of Row 116 to Row 56."},null,null,{"$f":"G116/G56","v":-2.0009380714237149E-2},-1.2680355036039818E-2,-6.7191482866589394E-2,-5.1691089430698001E-2,-8.9596677985540274E-2,-1.1930421049357634E-2,-6.3228819609879139E-2,-1.4559512177948675E-2,-2.8842743288594985E-2,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Changes in fatalities on surface streets",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P83, \".\")","v":"Percent in Row 35 times Figure in Row 83."},null,null,{"$f":"G$35*G83","v":-0.26508382691435489},{"$f":"H$35*H83","v":-7.4560487611914125E-2},-0.79521032742755093,-0.88128601370096726,-0.28048665686176932,-0.38294972555011275,-0.63584199705375766,-0.56146795210547273,{"$f":"SUM(G124:N124)","v":-3.8768869872258995},{"$f":"ROW()","v":124}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P84, \".\")","v":"Percent in Row 35 times Figure in Row 84."},null,null,{"$f":"G$35*G84","v":-2.0599135686437307E-2},0,-6.6943726543645873E-2,-0.26184668474308453,0,-9.6714343952707046E-2,-6.4233018069716333E-2,-5.8174073530551332E-2,{"$f":"SUM(G125:N125)","v":-0.56851098252614252},{"$f":"ROW()","v":125}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$35, \" times Figure in Row \",P85, \".\")","v":"Percent in Row 35 times Figure in Row 85."},null,null,{"$f":"G$35*G85","v":-0.3006641521909284},-7.5448112464436917E-2,-0.18257379966448875,-0.33854924896075578,-0.57242174869748841,-0.35718365664352036,-0.2076218765889821,-0.3305345086963144,{"$f":"SUM(G126:N126)","v":-2.3649971039069149},{"$f":"ROW()","v":126}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G124:G126)","v":-0.58634711479172053},{"$f":"SUM(H124:H126)","v":-0.15000860007635103},{"$f":"SUM(I124:I126)","v":-1.0447278536356857},{"$f":"SUM(J124:J126)","v":-1.4816819474048075},{"$f":"SUM(K124:K126)","v":-0.85290840555925773},{"$f":"SUM(L124:L126)","v":-0.83684772614634018},{"$f":"SUM(M124:M126)","v":-0.90769689171245616},{"$f":"SUM(N124:N126)","v":-0.95017653433233851},{"$f":"SUM(G127:N127)","v":-6.8103950736589569},{"$f":"ROW()","v":127}]
[null,"Changes in fatalities on highways",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P88, \".\")","v":"Percent in Row 36 times Figure in Row 88."},null,null,{"$f":"G$36*G88","v":-3.5931762100362913E-3},{"$f":"H$36*H88","v":-1.5216426043247794E-3},-1.438835712267004E-2,-1.4707180423022085E-2,-3.8290048068236313E-3,-6.9205115839168409E-3,-1.0552844409265365E-2,-1.0131264126975049E-2,{"$f":"SUM(G129:N129)","v":-6.5643981287034081E-2},{"$f":"ROW()","v":129}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P89, \".\")","v":"Percent in Row 36 times Figure in Row 89."},null,null,{"$f":"G$36*G89","v":-1.3819908500139582E-4},0,-5.9951488011125167E-4,-2.1628206504444242E-3,0,-8.6506394798960512E-4,-5.2764222046326834E-4,-5.1955200651154104E-4,{"$f":"SUM(G130:N130)","v":-4.8127927905214857E-3},{"$f":"ROW()","v":130}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Percent in Row \",$P$36, \" times Figure in Row \",P90, \".\")","v":"Percent in Row 36 times Figure in Row 90."},null,null,{"$f":"G$36*G90","v":-3.5240766675355903E-2},-1.3314372787841811E-2,-1.7985446403337529E-2,-6.9210260814221491E-2,-0.1276334935607876,-0.10542966866123303,-4.2211377637061419E-2,-3.2472000406971277E-2,{"$f":"SUM(G131:N131)","v":-0.44349738694681007},{"$f":"ROW()","v":131}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G129:G131)","v":-3.8972141970393587E-2},{"$f":"SUM(H129:H131)","v":-1.483601539216659E-2},{"$f":"SUM(I129:I131)","v":-3.2973318406118821E-2},{"$f":"SUM(J129:J131)","v":-8.6080261887687998E-2},{"$f":"SUM(K129:K131)","v":-0.13146249836761123},{"$f":"SUM(L129:L131)","v":-0.11321524419313948},{"$f":"SUM(M129:M131)","v":-5.3291864266790057E-2},{"$f":"SUM(N129:N131)","v":-4.3122816540457867E-2},{"$f":"SUM(G132:N132)","v":-0.51395416102436564},{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Changes in All Fatalities (surface streets + highways)",null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":134}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Changes in Numbers",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Sum of Rows \",P124, \" and \",P129, \".\")","v":"Sum of Rows 124 and 129."},null,null,{"$f":"G124+G129","v":-0.26867700312439119},{"$f":"H124+H129","v":-7.60821302162389E-2},-0.80959868455022099,-0.89599319412398937,-0.28431566166859296,-0.38987023713402957,-0.64639484146302306,-0.5715992162324478,-3.9425309685129335,{"$f":"ROW()","v":138}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Sum of Rows \",P125, \" and \",P130, \".\")","v":"Sum of Rows 125 and 130."},null,null,{"$f":"G125+G130","v":-2.0737334771438704E-2},0,-6.754324142375713E-2,-0.26400950539352896,0,-9.7579407900696649E-2,-6.47606602901796E-2,-5.8693625537062873E-2,-0.57332377531666401,{"$f":"ROW()","v":139}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Sum of Rows \",P126, \" and \",P131, \".\")","v":"Sum of Rows 126 and 131."},null,null,{"$f":"G126+G131","v":-0.33590491886628432},-8.8762485252278728E-2,-0.20055924606782627,-0.40775950977497727,-0.70005524225827598,-0.46261332530475341,-0.24983325422604352,-0.36300650910328569,-2.8084944908537248,{"$f":"ROW()","v":140}]
[null,"T O T A L",null,"Sum of three prior rows.",null,null,{"$f":"SUM(G138:G140)","v":-0.6253192567621142},{"$f":"SUM(H138:H140)","v":-0.16484461546851764},{"$f":"SUM(I138:I140)","v":-1.0777011720418044},{"$f":"SUM(J138:J140)","v":-1.5677622092924957},{"$f":"SUM(K138:K140)","v":-0.98437090392686888},{"$f":"SUM(L138:L140)","v":-0.95006297033947962},{"$f":"SUM(M138:M140)","v":-0.96098875597924616},{"$f":"SUM(N138:N140)","v":-0.99329935087279642},{"$f":"SUM(G141:N141)","v":-7.3243492346833223},{"$f":"ROW()","v":141}]
[null,"Percent Changes",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Pedestrian",null,{"$f":"CONCATENATE(\"Ratio of Row \",P138, \" to Row \",P76, \".\")","v":"Ratio of Row 138 to Row 76."},null,null,{"$f":"G138/G58","v":-2.0667461778799322E-2},-1.2680355036039816E-2,-6.7466557045851749E-2,-5.270548200729349E-2,-9.4771887222864323E-2,-1.2183444910438424E-2,-6.4639484146302301E-2,-1.4656390159806354E-2,-2.9867658852370707E-2,{"$f":"ROW()","v":143}]
[null,"Bicyclist",null,{"$f":"CONCATENATE(\"Ratio of Row \",P139, \" to Row \",P77, \".\")","v":"Ratio of Row 139 to Row 77."},null,null,{"$f":"G139/G59","v":-2.0737334771438704E-2},"NA",{"$f":"I139/I59","v":-6.754324142375713E-2},-5.280190107870579E-2,"NA",{"$f":"L139/L59","v":-1.2197425987587081E-2},-6.47606602901796E-2,-1.4673406384265718E-2,-2.8666188765833201E-2,{"$f":"ROW()","v":144}]
[null,"Motor Vehicle Occupant",null,{"$f":"CONCATENATE(\"Ratio of Row \",P140, \" to Row \",P78, \".\")","v":"Ratio of Row 140 to Row 78."},null,null,{"$f":"G140/G60","v":-1.9759112874487311E-2},{"$f":"H140/H60","v":-1.2680355036039818E-2},-6.6853082022608756E-2,-5.0969938721872159E-2,{"$f":"K140/K60","v":-8.7506905282284497E-2},-1.1861880136019317E-2,-6.245831355651088E-2,-1.4520260364131428E-2,-2.5301752169853378E-2,{"$f":"ROW()","v":145}]
[null,"T O T A L",null,{"$f":"CONCATENATE(\"Ratio of Row \",P141, \" to Row \",P79, \".\")","v":"Ratio of Row 141 to Row 79."},null,null,{"$f":"G141/G61","v":-2.0171588927810135E-2},{"$f":"H141/H61","v":-1.2680355036039818E-2},-6.7356323252612774E-2,-5.2258740309749856E-2,{"$f":"K141/K61","v":-8.9488263993351719E-2},-1.2026113548601008E-2,-6.4065917065283071E-2,-1.4607343395188183E-2,-2.7849236633776892E-2,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Crashes","This section treats crashes (both injury and non-injury crashes) rather than injuries per se.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,"Bronx","Staten Island","Manhattan South of\n60th St (CBD)","Manhattan North of\n60th St","Western Queens","Eastern Queens","NW Brooklyn","Other Brooklyn","T O T A L",{"$f":"ROW()","v":150}]
[]
[null,"2014 Baseline",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Locatable Injury Crashes (for which latitude and longitude were provided)",null,null,null,null,4573,1339,3453,2738,1395,7544,2319,8751,{"$f":"SUM(G154:N154)","v":32112},{"$f":"ROW()","v":154}]
[null,"Provided by Michael Cohen of Sam Schwartz Engineering, who obtained them from NYPD searchable records",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Region's shares of NYC Locatable Crashes",null,null,null,null,{"$f":"G154/$O$154","v":0.1424078226208271},4.1697807673143995E-2,0.10752989536621824,8.5264075734927752E-2,4.344170403587444E-2,0.23492775286497258,7.2215994020926752E-2,0.27251494768310913,1,{"$f":"ROW()","v":156}]
[null,{"$f":"CONCATENATE(\"Ratio of respective figures in Row \",P154, \" to citywide total in Column O.\")","v":"Ratio of respective figures in Row 154 to citywide total in Column O."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Total Injury Crashes",null,null,null,null,{"$f":"G$156*$O158","v":5364.360270303936},1570.7147172396612,4050.5436285500746,3211.8124688589937,1636.4055493273543,8849.493522670653,2720.3042787742897,10265.365564275038,37669,{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Total in Column O was obtained by Michael Cohen of SSE from NYPD records. Region figures prorate that total by percentages in Row \",$P$156, \".\")","v":"Total in Column O was obtained by Michael Cohen of SSE from NYPD records. Region figures prorate that total by percentages in Row 156."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Total Reported Crashes",null,null,null,null,{"$f":"G$156*$O160","v":29322.482716741404},8585.7870889387141,22140.943105381168,17556.299514200298,8944.8640695067261,48372.798953662183,14869.634248878923,56112.190302690586,205905,{"$f":"ROW()","v":160}]
[null,{"$f":"CONCATENATE(\"Total in Column O was obtained by Michael Cohen of SSE from NYPD records. Region figures prorate that total by percentages in Row \",$P$156, \".\")","v":"Total in Column O was obtained by Michael Cohen of SSE from NYPD records. Region figures prorate that total by percentages in Row 156."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Projected Changes from 2014 Baseline due to Pricing Plan Being Modeled",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Projected change in crashes, percentage",null,null,null,null,{"$f":"G121","v":-2.0009380714237149E-2},-1.2680355036039818E-2,-6.7191482866589394E-2,-5.1691089430698001E-2,-8.9596677985540274E-2,-1.1930421049357634E-2,-6.3228819609879139E-2,-1.4559512177948675E-2,-2.8842743288594985E-2,{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",$P$121, \", on premise that crashes will change in same proportions as injuries.\")","v":"Copied from Row 121, on premise that crashes will change in same proportions as injuries."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Projected change in injury crashes, number",null,null,null,null,{"$f":"G165*G158","v":-107.33752693683955},-19.917220274931797,-272.16203281809516,-166.02208556242118,-146.6165010568341,-105.578183799024,-172.00162852660193,-149.45871494415738,{"$f":"SUM(G167:N167)","v":-1139.0938939189052},{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"Product of percentages in Row \",$P$165, \" and baseline crashes in Row \",P158, \".\")","v":"Product of percentages in Row 165 and baseline crashes in Row 158."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Projected change in all crashes, number",null,null,null,null,{"$f":"G165*G160","v":-586.72472016591757},-108.87082855158967,-1487.6827993153493,-907.5042482606475,-801.43010566002351,-577.10785885311623,-940.1894215872461,-816.96611804339716,{"$f":"SUM(G169:N169)","v":-6226.4761004372867},{"$f":"ROW()","v":169}]
[null,{"$f":"CONCATENATE(\"Product of percentages in Row \",$P$165, \" and baseline crashes in Row \",P160, \".\")","v":"Product of percentages in Row 165 and baseline crashes in Row 160."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Subregions' shares of projected changes in all crashes",null,null,null,null,{"$f":"G169/$O$169","v":9.4230622699204097E-2},1.7485143570043358E-2,0.23892853281985119,0.14574925425264432,0.12871327099508803,9.2686111621401043E-2,0.15099863974764416,0.13120842429412383,1,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"Calculated on Row \",$P$169, \".\")","v":"Calculated on Row 169."},null,null,null,null,"Bronx","Staten Island","Manhattan",null,"Queens",null,"Brooklyn",null,null,{"$f":"ROW()","v":172}]
[null,"Boroughs' projected changes in all crashes",null,null,null,null,{"$f":"G169","v":-586.72472016591757},{"$f":"H169","v":-108.87082855158967},{"$f":"I169+J169","v":-2395.187047575997},null,{"$f":"K169+L169","v":-1378.5379645131397},null,{"$f":"M169+N169","v":-1757.1555396306433},null,{"$f":"SUM(G173:N173)","v":-6226.4761004372867},{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"Calculated on Row \",$P$169, \".\")","v":"Calculated on Row 169."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"Boroughs' shares of projected changes in all crashes",null,null,null,null,{"$f":"G173/$O$173","v":9.4230622699204097E-2},{"$f":"H173/$O$173","v":1.7485143570043358E-2},{"$f":"I173/$O$173","v":0.38467778707249556},null,{"$f":"K173/$O$173","v":0.22139938261648909},null,{"$f":"M173/$O$173","v":0.28220706404176799},null,{"$f":"O173/$O$173","v":1},{"$f":"ROW()","v":175}]
[null,{"$f":"CONCATENATE(\"Calculated on Row \",P173, \".\")","v":"Calculated on Row 173."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"New Section: Data from London, before and after implementation of congestion charging there",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"All data originate in \"Traffic accidents and the London congestion charge,\" by Colin P. Green, John S. Heywood, and María Navarro, Journal of Public Economics, 133 (2016) 11–22, available at http://www.sciencedirect.com/science/article/pii/S0047272715001929.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,"Pre-policy","Change","Post-policy","% change",null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Monthly crashes for charged vehicles in charged times in CCZ",null,null,null,null,null,111.027,-39.24,{"$f":"H184+I184","v":71.787000000000006},{"$f":"I184/H184","v":-0.35342754465130105},null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Cited paper, Table 1.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,"Annual crashes for charged vehicles in charged times in CCZ",null,null,null,null,null,{"$f":"H184*12","v":1332.3240000000001},{"$f":"I184*12","v":-470.88},{"$f":"J184*12","v":861.44400000000007},{"$f":"I186/H186","v":-0.353427544651301},null,null,null,null,{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"Row \",P184, \" figures multiplied by 12.\")","v":"Row 184 figures multiplied by 12."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Crash rates in CCZ, per rmillion miles driven (apparently includes all vehicles, all times)",null,null,null,null,null,4.5119999999999996,-1.0009999999999999,{"$f":"H188+I188","v":3.5109999999999997},{"$f":"I188/H188","v":-0.22185283687943261},null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Cited paper, Table 4.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Annual miles driven CCZ, rmillion miles ",null,null,null,null,null,582,{"$f":"H190-J190","v":82},500,{"$f":"J190/H190-1","v":-0.14089347079037806},null,null,null,null,{"$f":"ROW()","v":190}]
[null,"Cited paper, text at p. 18, except that Change is calculated by C.K. from before/after figures.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Implied annual crashes for all vehicles at all times in CCZ",null,null,null,null,null,{"$f":"H188*H190","v":2625.9839999999999},{"$f":"H192-J192","v":870.48400000000015},{"$f":"J188*J190","v":1755.4999999999998},{"$f":"J192/H192-1","v":-0.33148869147717586},null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Cited paper, text at p. 18, except that Change is calculated by C.K. from before/after figures.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]

{"sheet":"Emissions","index":51,"n_rows":396,"n_cols":33,"rows_kept":396,"cut":false,"hidden":false,"merged":[[23,25,24,25],[21,6,21,13],[21,15,21,22],[23,24,24,24],[6,11,7,21],[15,16,16,19],[18,11,19,21],[9,11,11,21],[16,1,19,9],[10,1,15,9],[4,1,9,9],[386,25,386,26],[386,27,386,28],[367,6,378,13],[367,15,378,22],[368,25,368,26],[368,27,368,28],[383,24,384,29]]}
[null,"Emissions",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet calculates projected changes in emissions of CO2, Total Organic Gases, Carbon Monoxide, Nitrogen Oxides, Sulfur Dioxide, PM10 and PM2.5 from pricing measures. Emissions will change due to changes in both VMT and traffic speeds. The worksheet captures both phenomena. The calculations are performed separately (in parallel) for weekdays and weekends-holidays. This worksheet was significantly updated/revised in Sept 2018 to reflect latest (2017) edition of Calif EMFAC model.",null,null,null,null,null,null,null,null,null,"Truck and bus fuel-use factors relative to light duty veh's (used to calclate relative CO2 emission factors)",null,null,null,null,null,null,null,null,"Avg MPG","CO2 Ratios",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,"LDV fuel economy",null,null,null,null,null,null,null,null,22.8,{"$f":"$U$6/U6","v":1},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,"Light-Duty Automotive Technology, Carbon Dioxide emissions, and Fuel Economy Trends: 1975 Through 2011, Executive Summary <http://www.epa.gov/oms/cert/mpg/fetrends/2012/420s12001a.pdf>, p. iv. Fig. shown is preliminary for model year 2011, and is not fleet avg.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,"Medium Truck fuel economy (10,000 - 26,000 lbs)",null,null,null,null,null,null,null,null,7.9,{"$f":"$U$6/U9","v":2.8860759493670884},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,"Calculated from Table 5.4, Transportation Energy Data Book, Edition 27 <http://www-cta.ornl.gov/data/chapter5.shtml>, as wghtd avg of # trucks, annual miles/truck, and gallons/mile, for four gross vehicle wght classes in range shown. Figures are for 2002. A search on 31-Oct-2017 found no update.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Methodology: We estimate emissions of each pollutant under (i) baseline conditions and (ii) with the pricing regime selected in the Results worksheet. Emissions are calculated by multiplying VMT for each time period by the emission factors applicable to the average speed for the period. Emission factors are calculated using the 2017 edition of the California Air Resources Board's (CARB) EMission FACtors model, EMFAC2017, which have been compiled in the adjacent worksheet tab, EMFAC. The exception is CO2 emission factors, which are calculated from parameters developed in the Speed-CO2 worksheet tab.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,"Bus fuel economy",null,null,null,null,null,null,null,null,7.2,{"$f":"$U$6/U13","v":3.1666666666666665},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,"FHWA Highway Statistics 2010, table VM-1 <http://www.fhwa.dot.gov/policyinformation/statistics/2010/vm1.cfm>",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,"Cordon fuel-inefficiency factor (due to more stop-and-go traffic within cordon than outside cordon)",null,null,null,null,null,null,null,null,{"$f":"V17","v":1.1990049751243781},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,"LDV fuel economy - adjusted combined cycle, MY 2008",null,null,null,null,{"$f":"CONCATENATE(\"The 2011 report referenced in Row \",AG7, \" does not report LDV mpg separately for city driving.\")","v":"The 2011 report referenced in Row 7 does not report LDV mpg separately for city driving."},null,null,null,24.1,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Calculations are done separately for light-duty vehicles (cars, including SUV's and taxicabs), trucks and buses, and per weekday or weekend day. The emission factors for each vehicle class are means of fairly wide ranges encompassing the different vehicle characteristics within each class. The resulting daily figures are converted to annual values at far right. Changes (differences between baseline and final values) are shown at bottom.",null,null,null,null,null,null,null,null,null,"LDV fuel economy - adjusted city cycle, MY 2008",null,null,null,null,null,null,null,null,20.100000000000001,{"$f":"U16/U17","v":1.1990049751243781},null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,"Light-Duty Automotive Technology and Fuel Economy Trends: 1975 Through 2008 <http://www.epa.gov/oms/fetrends.htm>",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,"We approximate driving cycle in non-cordon by combined city/highway EPA driving cycle, and in cordon by EPA city cycle. This rough procedure provides a ratio of CO2 (or gasoline usage) of vehicles driving in cordon vs non-cordon.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,"Weekdays (per day)",null,null,null,null,null,null,null,null,"Weekends (per day)",null,null,null,null,null,null,null,null,"(per year)",null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G132","v":"Graveyard"},{"$f":"'Motor Vs'!H132","v":"A.M. Pre-pk"},{"$f":"'Motor Vs'!I132","v":"A.M. Peak"},{"$f":"'Motor Vs'!J132","v":"A.M. Post-pk"},{"$f":"'Motor Vs'!K132","v":"Midday Pk"},{"$f":"'Motor Vs'!L132","v":"P.M. Peak"},{"$f":"'Motor Vs'!M132","v":"P.M. Post-pk"},{"$f":"'Motor Vs'!N132","v":"Totals"},null,{"$f":"'Motor Vs Weekends'!P132","v":"Graveyard"},{"$f":"'Motor Vs Weekends'!Q132","v":"Early Shoulder"},{"$f":"'Motor Vs Weekends'!R132","v":"Shoulder 1"},{"$f":"'Motor Vs Weekends'!S132","v":"Peak"},{"$f":"'Motor Vs Weekends'!T132","v":"Shoulder 2"},{"$f":"'Motor Vs Weekends'!U132","v":"Late Shoulder"},{"$f":"'Motor Vs Weekends'!V132","v":"(none)"},{"$f":"'Motor Vs Weekends'!W132","v":"Totals"},null,"Weekdays, annualized","Weekends, annualized","Annual Totals",null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G133","v":"11 pm - 5 am"},{"$f":"'Motor Vs'!H133","v":"5 am - 6 am"},{"$f":"'Motor Vs'!I133","v":"6 am - 9 am"},{"$f":"'Motor Vs'!J133","v":"9 am - 10 am"},{"$f":"'Motor Vs'!K133","v":"10 am - 2 pm"},{"$f":"'Motor Vs'!L133","v":"2 pm - 8 pm "},{"$f":"'Motor Vs'!M133","v":"8 pm - 11 pm"},null,null,{"$f":"'Motor Vs Weekends'!G133","v":"Midnight-10 am"},{"$f":"'Motor Vs Weekends'!H133","v":"10 am-Noon"},{"$f":"'Motor Vs Weekends'!I133","v":"Noon-5 pm"},{"$f":"'Motor Vs Weekends'!J133","v":"5 pm-8 pm"},{"$f":"'Motor Vs Weekends'!K133","v":"8 pm-10 pm"},{"$f":"'Motor Vs Weekends'!L133","v":"10 pm-Midnight"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"A. Baseline emissions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"1. Within Cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Average Baseline Cordon Speeds (mph)",null,null,null,null,{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,null,{"$f":"'Motor Vs Weekends'!G201","v":17.550723377686065},{"$f":"'Motor Vs Weekends'!H201","v":11.198272905224371},{"$f":"'Motor Vs Weekends'!I201","v":7.9371338148422508},{"$f":"'Motor Vs Weekends'!J201","v":6.7424914750360951},{"$f":"'Motor Vs Weekends'!K201","v":8.6056137538537421},{"$f":"'Motor Vs Weekends'!L201","v":10.764758517009115},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,{"$f":"CONCATENATE(\"From Motor Vs (Motor Vs Weekends) worksheet, Row \",'Motor Vs'!O201, \".\")","v":"From Motor Vs (Motor Vs Weekends) worksheet, Row 201."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Baseline VMT in Cordon (miles per day)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Light duty vehicles - (autos and taxicabs)",null,null,null,null,{"$f":"'Motor Vs'!P164+'Motor Vs'!Y164+'Motor Vs'!AH164+'Motor Vs'!AQ164+'Motor Vs'!BI164","v":409064.16522882291},{"$f":"'Motor Vs'!Q164+'Motor Vs'!Z164+'Motor Vs'!AI164+'Motor Vs'!AR164+'Motor Vs'!BJ164","v":73818.540088643509},{"$f":"'Motor Vs'!R164+'Motor Vs'!AA164+'Motor Vs'!AJ164+'Motor Vs'!AS164+'Motor Vs'!BK164","v":425927.69960910128},{"$f":"'Motor Vs'!S164+'Motor Vs'!AB164+'Motor Vs'!AK164+'Motor Vs'!AT164+'Motor Vs'!BL164","v":144141.63539096896},{"$f":"'Motor Vs'!T164+'Motor Vs'!AC164+'Motor Vs'!AL164+'Motor Vs'!AU164+'Motor Vs'!BM164","v":526894.13917954545},{"$f":"'Motor Vs'!U164+'Motor Vs'!AD164+'Motor Vs'!AM164+'Motor Vs'!AV164+'Motor Vs'!BN164","v":944452.98825605214},{"$f":"'Motor Vs'!V164+'Motor Vs'!AE164+'Motor Vs'!AN164+'Motor Vs'!AW164+'Motor Vs'!BO164","v":419405.55056175066},{"$f":"SUM(G33:M33)","v":2943704.7183148847},null,{"$f":"'Motor Vs Weekends'!P164+'Motor Vs Weekends'!Y164+'Motor Vs Weekends'!AH164+'Motor Vs Weekends'!AQ164+'Motor Vs Weekends'!BI164","v":923153.29687705101},{"$f":"'Motor Vs Weekends'!Q164+'Motor Vs Weekends'!Z164+'Motor Vs Weekends'!AI164+'Motor Vs Weekends'!AR164+'Motor Vs Weekends'!BJ164","v":255860.36275335122},{"$f":"'Motor Vs Weekends'!R164+'Motor Vs Weekends'!AA164+'Motor Vs Weekends'!AJ164+'Motor Vs Weekends'!AS164+'Motor Vs Weekends'!BK164","v":743466.98409894272},{"$f":"'Motor Vs Weekends'!S164+'Motor Vs Weekends'!AB164+'Motor Vs Weekends'!AK164+'Motor Vs Weekends'!AT164+'Motor Vs Weekends'!BL164","v":474369.22783650714},{"$f":"'Motor Vs Weekends'!T164+'Motor Vs Weekends'!AC164+'Motor Vs Weekends'!AL164+'Motor Vs Weekends'!AU164+'Motor Vs Weekends'!BM164","v":288615.06305974699},{"$f":"'Motor Vs Weekends'!U164+'Motor Vs Weekends'!AD164+'Motor Vs Weekends'!AM164+'Motor Vs Weekends'!AV164+'Motor Vs Weekends'!BN164","v":261826.11213383207},null,{"$f":"SUM(P33:V33)","v":2947291.0467594317},null,{"$f":"N33*wkday_per_yr","v":735926179.57872117},{"$f":"W33*wkend_per_yr","v":338938470.37733465},{"$f":"Y33+Z33","v":1074864649.9560559},null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Trucks & Buses",null,null,null,null,{"$f":"'Motor Vs'!AZ164","v":26970.343769870593},{"$f":"'Motor Vs'!BA164","v":11121.689975779889},{"$f":"'Motor Vs'!BB164","v":56331.390354553907},{"$f":"'Motor Vs'!BC164","v":16702.470272612136},{"$f":"'Motor Vs'!BD164","v":56686.649337220319},{"$f":"'Motor Vs'!BE164","v":92553.066156886503},{"$f":"'Motor Vs'!BF164","v":32674.390133076653},{"$f":"SUM(G34:M34)","v":293040},null,{"$f":"'Motor Vs Weekends'!AZ164","v":31176.401993083578},{"$f":"'Motor Vs Weekends'!BA164","v":10712.156765314692},{"$f":"'Motor Vs Weekends'!BB164","v":32373.401368949359},{"$f":"'Motor Vs Weekends'!BC164","v":20495.957238634066},{"$f":"'Motor Vs Weekends'!BD164","v":11830.005863565928},{"$f":"'Motor Vs Weekends'!BE164","v":10052.076770452381},null,{"$f":"SUM(P34:V34)","v":116640},null,{"$f":"N34*wkday_per_yr","v":73260000},{"$f":"W34*wkend_per_yr","v":13413600},{"$f":"Y34+Z34","v":86673600},null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Barth formula for CO2 emissions (grams per mile)",null,null,null,null,{"$f":"EXP(barthB0+barthB1*G30+barthB2*G30^2+barthB3*G30^3+barthB4*G30^4)","v":507.94106952564027},528.57963939421427,857.7102399081831,858.19371220058497,777.29210407504047,919.7761220756538,803.44239559031303,null,null,{"$f":"EXP(barthB0+barthB1*P30+barthB2*P30^2+barthB3*P30^3+barthB4*P30^4)","v":554.01825149958654},709.90211835632942,827.75125524968075,879.80128206356812,800.87699483124925,723.77343724901152,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Derived in Speed-CO2 worksheet, using an exponential polynomial equation drawn from work by Barth and Boriboonsomsin at U-C Riverside.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Truck share of combined Trucks & Buses",null,null,null,null,{"$f":"35000/(35000+0.5*'Hub-Bound'!N86)","v":0.75742820662641475},"This figure is used to apply separate truck and bus emission factors to combined truck and bus volumes in Motor Vs and Motor Vs Weekends, as of Nov. 2017 when we merged trucks and buses to create room to admit UberLyfts.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Employs assumption from 'Motor Vs' worksheet, Row \",'Motor Vs'!O36, \", that 35,000 trucks enter CBD on typical weekday, while number of buses is taken from 'Hub-Bound' worksheet, Cell N\",'Hub-Bound'!R86, \". Same ratio is applied to all time periods and weekends, notwithstanding likely variations.\")","v":"Employs assumption from 'Motor Vs' worksheet, Row 36, that 35,000 trucks enter CBD on typical weekday, while number of buses is taken from 'Hub-Bound' worksheet, Cell N86. Same ratio is applied to all time periods and weekends, notwithstanding likely variations."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Emission Rates (grams per mile)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"LDV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"CO2",null,null,null,null,{"$f":"G36*$U$15","v":609.02386943124031},633.76961738311263,1028.3988448650355,1028.9785305489602,931.97709991086936,1102.8161463693161,963.33142953863398,null,null,{"$f":"P36*$U$15","v":664.27063985771315},851.17617176057411,992.47787320981627,1054.8861143150245,960.25550126532869,867.80795212443672,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"TOG",null,null,null,null,{"$f":"EMFAC!$E40*G$30^2 + EMFAC!$F40*G$30 + EMFAC!$G40","v":8.7842992729351865E-2},{"$f":"EMFAC!$E40*H$30^2 + EMFAC!$F40*H$30 + EMFAC!$G40","v":9.8258527949703245E-2},{"$f":"EMFAC!$E40*I$30^2 + EMFAC!$F40*I$30 + EMFAC!$G40","v":0.22208916912911306},{"$f":"EMFAC!$E40*J$30^2 + EMFAC!$F40*J$30 + EMFAC!$G40","v":0.22222967171664226},{"$f":"EMFAC!$E40*K$30^2 + EMFAC!$F40*K$30 + EMFAC!$G40","v":0.19740917649204309},{"$f":"EMFAC!$E40*L$30^2 + EMFAC!$F40*L$30 + EMFAC!$G40","v":0.23944307394056114},{"$f":"EMFAC!$E40*M$30^2 + EMFAC!$F40*M$30 + EMFAC!$G40","v":0.20573388900593265},null,null,{"$f":"EMFAC!$E40*P$30^2 + EMFAC!$F40*P$30 + EMFAC!$G40","v":0.11052696482466587},{"$f":"EMFAC!$E40*Q$30^2 + EMFAC!$F40*Q$30 + EMFAC!$G40","v":0.17443801016002203},{"$f":"EMFAC!$E40*R$30^2 + EMFAC!$F40*R$30 + EMFAC!$G40","v":0.2132070683015915},{"$f":"EMFAC!$E40*S$30^2 + EMFAC!$F40*S$30 + EMFAC!$G40","v":0.22842101514223717},{"$f":"EMFAC!$E40*T$30^2 + EMFAC!$F40*T$30 + EMFAC!$G40","v":0.20493061380641364},{"$f":"EMFAC!$E40*U$30^2 + EMFAC!$F40*U$30 + EMFAC!$G40","v":0.17935871136329157},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
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[null,"Emission Rates (grams per mile)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
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[null,"All Vehicles",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"CO2",null,null,null,null,{"$f":"G158+G166","v":2761026.6169872861},{"$f":"H158+H166","v":827201.34795650619},6589760.1675144164,1874633.2654203279,6295613.777841066,14358612.127791762,4024019.9253134206,{"$f":"SUM(G174:M174)","v":36730867.228824779},null,{"$f":"P158+P166","v":5783041.8536872687},2216736.5209332178,7733467.8570585418,5159640.043193046,2623145.256385522,1991549.6262176665,null,{"$f":"SUM(P174:V174)","v":25507581.157475259},null,{"$f":"N174*wkday_per_yr","v":9182716807.2061939},{"$f":"W174*wkend_per_yr","v":2933371833.1096549},{"$f":"Y174+Z174","v":12116088640.315849},null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"TOG",null,null,null,null,{"$f":"G159+G167","v":393.10092947575015},42.302890641535434,1828.3913689950223,457.95547054201097,1283.591863358914,3982.5487153312365,638.2141328223945,8626.1053711668646,null,{"$f":"P159+P167","v":793.46656249843863},242.32958441118706,1433.3879505319919,1060.6835913943739,388.18685089486712,168.08651646150136,null,4086.1410561923603,null,2156526.3427917161,469906.22146212147,2626432.5642538378,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"CO",null,null,null,null,{"$f":"G160+G168","v":6492.2752080169685},1946.1000303786068,18181.490937587601,5167.2544391973352,17325.567638664692,39215.691556911559,10876.009928102629,99204.389738859405,null,{"$f":"P160+P168","v":14119.996829129072},6003.8321902548223,21513.564951212575,14317.441485152927,7210.2096603753425,5239.7812407700412,null,68404.826356894788,null,24801097.43471485,7866555.0310429009,32667652.46575775,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"NOx",null,null,null,null,{"$f":"G161+G169","v":2323.0721575722368},560.03026982164783,5815.4042472884994,1555.8220137999003,4776.2297962379816,11483.013111435241,2635.6271638595763,29149.198760015079,null,{"$f":"P161+P169","v":3942.7996097114246},1128.417746697472,4537.6240214653517,3128.6665788689988,1435.4176337376052,966.48600973974271,null,15139.411600220596,null,7287299.6900037695,1741032.3340253686,9028332.0240291376,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,"SO2",null,null,null,null,26.659818900630121,6.1827048804475542,61.469992734594236,17.052275833850199,55.56361821072646,135.99909103843748,33.92774052085457,336.85524211954061,null,55.57099569848215,17.978234909445845,69.541083950722907,47.409224065904894,22.418925359912024,15.473788554099167,null,228.39225253856696,null,84213.810529885144,26265.1090419352,110478.91957182034,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"PM10",null,null,null,null,{"$f":"G163+G171","v":39.249999399734463},5.8612373112631566,116.36893377477509,29.639617109037708,85.42156495681391,255.03396470595828,44.290851097780603,575.86616835536324,null,{"$f":"P163+P171","v":67.7635080240007},17.64369383816712,96.39734436397049,70.607335339482859,26.837676604647235,13.072589914419044,null,292.32214808468746,null,143966.5420888408,33617.047029739057,177583.58911857987,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"PM2.5",null,null,null,null,37.089547858872592,5.5425248294780474,109.7347485924836,27.938503251319212,80.45795574510413,240.14088352529888,41.654785210363379,542.55894901291981,null,63.791882800916085,16.525362169778752,90.435014725579123,66.262000796076677,25.160804217858601,12.237465210609763,null,274.412529920819,null,135639.73725322995,31557.440940894186,167197.17819412414,null,null,null,null,null,{"$f":"ROW()","v":180}]
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[null,"B. Final emissions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
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[null,"1. Within Cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Average Cordon Speeds (mph)",null,null,null,null,{"$f":"'Motor Vs'!G1011","v":20.661176061599758},{"$f":"'Motor Vs'!H1011","v":16.427743784700645},{"$f":"'Motor Vs'!I1011","v":9.8726835319879704},{"$f":"'Motor Vs'!J1011","v":8.5041950013088456},{"$f":"'Motor Vs'!K1011","v":10.702093472776912},{"$f":"'Motor Vs'!L1011","v":7.1683491347461734},{"$f":"'Motor Vs'!M1011","v":9.9320221317185222},null,null,{"$f":"'Motor Vs Weekends'!G1011","v":17.903340592168856},{"$f":"'Motor Vs Weekends'!H1011","v":10.832658937949653},{"$f":"'Motor Vs Weekends'!I1011","v":9.3957206275314604},{"$f":"'Motor Vs Weekends'!J1011","v":7.7263952009377261},{"$f":"'Motor Vs Weekends'!K1011","v":10.121294842845412},{"$f":"'Motor Vs Weekends'!L1011","v":12.116452437533733},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,{"$f":"CONCATENATE(\"From Motor Vs (Motor Vs Weekend) worksheet, Row \",'Motor Vs'!O1011, \".\")","v":"From Motor Vs (Motor Vs Weekend) worksheet, Row 1011."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"VMT in Cordon (miles)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,"Light duty vehicles - (autos and taxicabs)",null,null,null,null,{"$f":"'Motor Vs'!P949+'Motor Vs'!Y949+'Motor Vs'!AH949+'Motor Vs'!AQ949+'Motor Vs'!BI949","v":380037.41351775994},{"$f":"'Motor Vs'!Q949+'Motor Vs'!Z949+'Motor Vs'!AI949+'Motor Vs'!AR949+'Motor Vs'!BJ949","v":86685.930964754807},{"$f":"'Motor Vs'!R949+'Motor Vs'!AA949+'Motor Vs'!AJ949+'Motor Vs'!AS949+'Motor Vs'!BK949","v":373490.29504012642},{"$f":"'Motor Vs'!S949+'Motor Vs'!AB949+'Motor Vs'!AK949+'Motor Vs'!AT949+'Motor Vs'!BL949","v":134451.04623005103},{"$f":"'Motor Vs'!T949+'Motor Vs'!AC949+'Motor Vs'!AL949+'Motor Vs'!AU949+'Motor Vs'!BM949","v":489384.52996468398},{"$f":"'Motor Vs'!U949+'Motor Vs'!AD949+'Motor Vs'!AM949+'Motor Vs'!AV949+'Motor Vs'!BN949","v":876555.73738084524},{"$f":"'Motor Vs'!V949+'Motor Vs'!AE949+'Motor Vs'!AN949+'Motor Vs'!AW949+'Motor Vs'!BO949","v":389677.04588150448},{"$f":"SUM(G188:M188)","v":2730281.9989797263},null,{"$f":"'Motor Vs Weekends'!P949+'Motor Vs Weekends'!Y949+'Motor Vs Weekends'!AH949+'Motor Vs Weekends'!AQ949+'Motor Vs Weekends'!BI949","v":899122.82022335101},{"$f":"'Motor Vs Weekends'!Q949+'Motor Vs Weekends'!Z949+'Motor Vs Weekends'!AI949+'Motor Vs Weekends'!AR949+'Motor Vs Weekends'!BJ949","v":257977.82357400656},{"$f":"'Motor Vs Weekends'!R949+'Motor Vs Weekends'!AA949+'Motor Vs Weekends'!AJ949+'Motor Vs Weekends'!AS949+'Motor Vs Weekends'!BK949","v":694392.13713835587},{"$f":"'Motor Vs Weekends'!S949+'Motor Vs Weekends'!AB949+'Motor Vs Weekends'!AK949+'Motor Vs Weekends'!AT949+'Motor Vs Weekends'!BL949","v":450312.48420694727},{"$f":"'Motor Vs Weekends'!T949+'Motor Vs Weekends'!AC949+'Motor Vs Weekends'!AL949+'Motor Vs Weekends'!AU949+'Motor Vs Weekends'!BM949","v":268918.502405115},{"$f":"'Motor Vs Weekends'!U949+'Motor Vs Weekends'!AD949+'Motor Vs Weekends'!AM949+'Motor Vs Weekends'!AV949+'Motor Vs Weekends'!BN949","v":244969.24761258782},null,{"$f":"SUM(P188:V188)","v":2815693.0151603632},null,{"$f":"N188*wkday_per_yr","v":682570499.74493158},{"$f":"W188*wkend_per_yr","v":323804696.74344176},{"$f":"Y188+Z188","v":1006375196.4883733},null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Trucks & Buses",null,null,null,null,{"$f":"'Motor Vs'!AZ949","v":27102.050643882441},{"$f":"'Motor Vs'!BA949","v":15953.239136237253},{"$f":"'Motor Vs'!BB949","v":51279.347648599593},{"$f":"'Motor Vs'!BC949","v":16501.776620603694},{"$f":"'Motor Vs'!BD949","v":55923.814473101498},{"$f":"'Motor Vs'!BE949","v":91262.227092508518},{"$f":"'Motor Vs'!BF949","v":33936.95352014395},{"$f":"SUM(G189:M189)","v":291959.40913507692},null,{"$f":"'Motor Vs Weekends'!AZ949","v":31071.726104994097},{"$f":"'Motor Vs Weekends'!BA949","v":13062.255886382445},{"$f":"'Motor Vs Weekends'!BB949","v":29321.620390717035},{"$f":"'Motor Vs Weekends'!BC949","v":20079.903359832235},{"$f":"'Motor Vs Weekends'!BD949","v":11052.527539913266},{"$f":"'Motor Vs Weekends'!BE949","v":10662.142705634269},null,{"$f":"SUM(P189:V189)","v":115250.17598747335},null,{"$f":"N189*wkday_per_yr","v":72989852.283769235},{"$f":"W189*wkend_per_yr","v":13253770.238559436},{"$f":"Y189+Z189","v":86243622.522328675},null,null,null,null,null,{"$f":"ROW()","v":189}]
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[null,"Barth formula for CO2 emissions (grams per mile)",null,null,null,null,{"$f":"EXP(barthB0+barthB1*G185+barthB2*G185^2+barthB3*G185^3+barthB4*G185^4)","v":502.12167637921488},576.12177908780029,753.94291877842886,804.85615598820709,725.82018892096551,860.62679700678905,751.86546398428004,null,null,{"$f":"EXP(barthB0+barthB1*P185+barthB2*P185^2+barthB3*P185^3+barthB4*P185^4)","v":547.4740691479019},721.56769520207047,771.02333098660529,836.5474788044703,745.30764109013546,682.11406649435355,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Derived in Speed-CO2 worksheet, using an exponential polynomial equation drawn from work by Barth and Boriboonsomsin at U-C Riverside.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
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[null,"Emission Rates (grams per mile)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"LDV",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"CO2",null,null,null,null,{"$f":"G191*$U$15","v":602.04638809647156},690.77287940378039,903.98131057513115,965.02653528934286,870.2620175619536,1031.8958113364984,901.49043194135072,null,null,{"$f":"P191*$U$15","v":656.42413265992218},865.1632564363133,924.46080978990983,1003.0245890143151,893.62756966528673,817.85815932905075,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
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[null,"Emission Rates (grams per mile)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
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[null,null,null,null,null,null,"PM2.5",-41.335978120513857,-0.11978353695909051,-23.009570992234586,-0.11652187241707744,-64.345549112748444,-0.11859642022274744,-16.086387278187111,null,"PM2.5",-18.873669118103862,-9.1794030355296485E-2,-4.4598627474427843,-6.4820161475394489E-2,-23.333531865546647,-8.5030854357413907E-2,-2.6833561645378645,null,"PM2.5",-12.504466478710413,-0.11376253095293122,-6.2652769640145562,-0.10938000466782156,-18.76974344272497,-0.11226112572864343,null,{"$f":"ROW()","v":360}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,"D. Change in Motor Vehicle Emissions, Adjusted to Reflect \"Indirect\" Reductions in VMT, Hence, Emissions, from \"Attraction\" to Transit via Fare Discounts and Service Improvements",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Unadjusted (reflect direct impact of toll only)",null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,null,null,null,null,null,"Scroll to Far Right to See Results",null,null,null,null,null,null,null,null,"Scroll to Far Right to See Results",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon",null,"Non-Cordon",null,null,null,null,{"$f":"ROW()","v":369}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"LDV's","Trucks / Buses","LDV's","Trucks / Buses",null,null,null,{"$f":"ROW()","v":370}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"tonnes","tonnes","tonnes","tonnes",null,null,null,{"$f":"ROW()","v":371}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CO2",{"$f":"(AA222-AA70)/1000","v":-121271.37008441771},{"$f":"(AA230-AA78)/1000","v":-18264.394034111887},{"$f":"(AA283-AA131)/1000","v":-519996.22698185733},{"$f":"(AA291-AA139)/1000","v":-145180.22860456276},null,null,null,{"$f":"ROW()","v":372}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOG",-28.115380475988523,-10.966725490003068,-171.47201549954434,-108.08998811629822,null,null,null,{"$f":"ROW()","v":373}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CO",-202.01885318883461,-35.512453323961005,-1384.5943056786396,-446.41773499923528,null,null,null,{"$f":"ROW()","v":374}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"NOx",-46.241657298238948,-36.355107455360006,-294.37363457053061,-422.31843999229091,null,null,null,{"$f":"ROW()","v":375}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"SO2",-0.90360555346279214,-9.0437649367719586E-2,-5.8443919722049618,-1.2739957830636794,null,null,null,{"$f":"ROW()","v":376}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PM10",-1.8741841460381783,-0.59706772877144343,-11.473511175940439,-5.9562285008485265,null,null,null,{"$f":"ROW()","v":377}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PM2.5",-1.7562882877211505,-0.5708685620991355,-10.748178190989259,-5.6944084019154326,null,null,null,{"$f":"ROW()","v":378}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures above are calculated from earlier data, and match to figures in Rows \",AG354, \" to \",AG359, \".\")","v":"Figures above are calculated from earlier data, and match to figures in Rows 354 to 359."},null,null,null,null,null,null,null,{"$f":"ROW()","v":379}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Adjusted (also reflect impact of transit attraction via lower fares and increased service)",null,null,null,null,null,null,null,{"$f":"ROW()","v":381}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Adj. factor to light-veh emissions, to reflect non-toll reduxns in VMT (due to transit \"attraction\"):",null,null,null,null,null,{"$f":"VMT!H21/(VMT!H16+VMT!H17)","v":1.2481861553648159},null,{"$f":"ROW()","v":383}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From 'VMT' worksheet. Is ratio of all light-vehicle VMT reduction (Row \",VMT!O21, \") to reductions due directly to cordon toll (Row \",VMT!O16, \" plus Row \",VMT!O17, \"). We assume 100% of impact is non-cordon, though tiny fraction may be w/i CBD.\")","v":"From 'VMT' worksheet. Is ratio of all light-vehicle VMT reduction (Row 21) to reductions due directly to cordon toll (Row 16 plus Row 17). We assume 100% of impact is non-cordon, though tiny fraction may be w/i CBD."},null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":385}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cordon",null,"Non-Cordon",null,"Cordon","Non-Cord.","All (both)",{"$f":"ROW()","v":387}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"LDV's","Trucks / Buses","LDV's","Trucks / Buses","All Veh","All Veh","All Veh",{"$f":"ROW()","v":388}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"tonnes","tonnes","tonnes","tonnes","tonnes","tonnes","tonnes",{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CO2",{"$f":"Z372","v":-121271.37008441771},-18264.394034111887,{"$f":"AB372*$AE$383","v":-649052.09136069461},{"$f":"AC372","v":-145180.22860456276},{"$f":"Z390+AA390","v":-139535.76411852959},{"$f":"AB390+AC390","v":-794232.31996525731},{"$f":"AD390+AE390","v":-933768.08408378693},{"$f":"ROW()","v":390}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOG",-28.115380475988523,-10.966725490003068,-214.02899577903239,-108.08998811629822,-39.082105965991587,-322.11898389533059,-361.2010898613222,{"$f":"ROW()","v":391}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CO",-202.01885318883461,-35.512453323961005,-1728.2314431450379,-446.41773499923528,-237.53130651279562,-2174.6491781442733,-2412.180484657069,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"NOx",-46.241657298238948,-36.355107455360006,-367.43309517535789,-422.31843999229091,-82.596764753598961,-789.75153516764885,-872.34829992124787,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"SO2",-0.90360555346279214,-9.0437649367719586E-2,-7.2948891462315055,-1.2739957830636794,-0.99404320283051173,-8.5688849292951854,-9.5629281321256965,{"$f":"ROW()","v":394}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PM10",-1.8741841460381783,-0.59706772877144343,-14.321077803232345,-5.9562285008485265,-2.4712518748096217,-20.277306304080874,-22.748558178890494,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PM2.5",-1.7562882877211505,-0.5708685620991355,-13.415727213386846,-5.6944084019154326,-2.3271568498202861,-19.11013561530228,-21.437292465122567,{"$f":"ROW()","v":396}]

{"sheet":"Air Pollution","index":52,"n_rows":113,"n_cols":15,"rows_kept":113,"cut":false,"hidden":false,"merged":[[25,1,26,10],[85,11,87,11],[43,9,43,12],[46,8,57,8],[73,5,80,7],[73,8,73,9],[73,10,74,10],[85,12,87,12],[85,4,87,4],[85,5,87,5],[85,3,87,3],[85,7,87,7],[98,1,99,11],[103,1,106,11],[110,1,113,10],[43,4,43,6],[65,1,69,11],[72,3,72,7],[73,3,73,4],[85,8,87,8],[85,9,87,9],[5,1,6,10],[7,1,10,10],[11,1,14,10],[15,1,17,10],[22,1,23,10]]}
[null,"Air Pollution",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"Methodology",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"In Emissions, we estimated changes in emissions of the prime vehicular (tailpipe) pollutants, for the tolls and/or other policies embodied by the scenario/plan being modeled (selected in Results tab and based on the parameters entered in the Policy Levers tab).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Here we translate those changes into monetary benefits or costs, using estimated per-kg costs of motor vehicle emissions developed by McCubbin & Delucchi in the mid-late 1990s, and published in the journal article, \"The Health Costs of Motor-Vehicle-Related Air Pollution,\" Donald R. McCubbin and Mark A. Delucchi, Journal of Transport Economics and Policy, Vol. 33, No. 3 (Sep., 1999), pp. 253-286, published by: University of Bath and The London School of Economics & Political Science, Stable URL: http://www.jstor.org/stable/20053815. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"We've chosen the McCubbin-Delucchi per-kg valuations in preference to cost factors in another detailed and rigorous paper from Journal of Transport Economics and Policy, \"On The Costs Of Air Pollution From Motor Vehicles,\" by Kenneth A. Small & Camilla Kazimi, published in 1995. The Small-Kazimi paper preceded McCubbin-Delucchi by several years and is referenced in it. Small himself expressed a preference for McCubbin-Delucchi (personal communication, Sept 25, 2018). Small also noted the absence of more recent papers estimating per-kg vehicular pollution damage costs.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Both papers develop cost factors for the \"Los Angeles Region,\" i.e., the Los Angeles Consolidated Metropolitan Statistical Area (CMSA) consisting of Los Angeles, Riverside, Orange, San Bernardino and Ventura counties. To translate the McCubbin-Delucchi cost factors, which were calculated on 1990 LA Region population data, into contemporary (2017-18) cost factors for New York City, we normalize the different population densities between the two regions.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Population Densities",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Manhattan CBD, density relative to Los Angeles Region",null,null,null,null,null,null,null,null,{"$f":"M46/G36","v":70.470518452342176},null,null,null,{"$f":"ROW()","v":22}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of Manhattan population density in Row \",O46, \" to LA region density in Row \",O36,\". Manhattan figure is adjusted to reflect commuters and visitors. LA figure is population-weighted to properly reflect populations rather than land masses.\")","v":"Calculated as ratio of Manhattan population density in Row 46 to LA region density in Row 36. Manhattan figure is adjusted to reflect commuters and visitors. LA figure is population-weighted to properly reflect populations rather than land masses."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"NYC region (outside the Manhattan CBD), density relative to Los Angeles Region",null,null,null,null,null,null,null,null,{"$f":"M60/G36","v":7.5017666369936737},null,null,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of non-Manhattan NYC-region population density in Row \",O60, \" to LA region density in Row \",O36,\". Both figures are population-weighted to properly reflect populations rather than land masses.\")","v":"Calculated as ratio of non-Manhattan NYC-region population density in Row 60 to LA region density in Row 36. Both figures are population-weighted to properly reflect populations rather than land masses."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Demographic data, Los Angeles Region",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,"1990 pop.","Area (miles^2)","Density",null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Los Angeles",null,null,8863164,4058,{"$f":"E31/F31","v":2184.1212419911285},null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Orange",null,null,2410556,791,3047.4791403286977,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Riverside",null,null,1170413,7206,162.42200943658062,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Ventura",null,null,669016,1843,{"$f":"E34/F34","v":363.00379815518176},null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"T O T A L",null,null,{"$f":"SUM(E31:E34)","v":13113149},{"$f":"SUM(F31:F34)","v":13898},{"$f":"E35/F35","v":943.52777378040003},null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Population-weighted density",null,null,null,null,{"$f":"SUMPRODUCT(E31:E34,G31:G34)/E35","v":2069.4724105249265},null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"San Bernardino",null,null,1418380,20057,{"$f":"E37/F37","v":70.717455252530286},null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Population: 1850-2010  Historical US Census Populations of Counties and Incoporated Cities/Towns in California, http://www.dof.ca.gov/Reports/Demographic_Reports/documents/2010-1850_STCO_IncCities-FINAL.xls.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Area: http://www.counties.org/pod/square-mileage-county",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Population-weighted density is average density for the five counties constituting LA Region except San Bernardino, weighted by each county's population.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"We exclude San Bernardino due to its enormous land mass. Note that population-weighted density for all five counties (1,874) is within 10% of the four-county figure used here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Demographic data, New York Region",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,"Unadjusted",null,null,null,null,"Adjusted for Manhattan commuters/visitors ",null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,"2017 pop","Square miles","Density",null,null,"Neg. adj'ment","2017 pop","Square miles","Density",null,{"$f":"ROW()","v":45}]
[null,"Manhattan",null,null,{"$f":"Incidence!I80","v":1664727},{"$f":"Incidence!I564","v":22.83},{"$f":"E46/F46","v":72918.396846254938},null,null,null,{"$f":"E46+I63","v":3329454},{"$f":"F46","v":22.83},{"$f":"K46/L46","v":145836.79369250988},null,{"$f":"ROW()","v":46}]
[null,"Bronx",null,null,{"$f":"Incidence!G80","v":1471160},{"$f":"Incidence!G564","v":42.1},{"$f":"E47/F47","v":34944.418052256529},null,"Percentages in column at right assign increase in Manhattan daytime population to each borough and county. Sum is less than 100% to reflect NJ, CT, PA, etc.",0.08,{"$f":"E47+J47*$I$64","v":1337981.8400000001},42.1,{"$f":"K47/L47","v":31781.04133016627},null,{"$f":"ROW()","v":47}]
[null,"Brooklyn",null,null,{"$f":"Incidence!H80","v":2648771},{"$f":"Incidence!H564","v":70.819999999999993},37401.45439141486,null,null,0.25,2232589.25,70.819999999999993,31524.841146568768,null,{"$f":"ROW()","v":48}]
[null,"Queens",null,null,{"$f":"Incidence!J80","v":2358582},{"$f":"Incidence!J564","v":108.53},21732.074080899289,null,null,0.2,2025636.6,108.53,18664.301114899106,null,{"$f":"ROW()","v":49}]
[null,"S.I.",null,null,{"$f":"Incidence!K80","v":479458},{"$f":"Incidence!K564","v":58.37},8214.1168408428985,null,null,0.08,346279.83999999997,58.37,5932.4968305636457,null,{"$f":"ROW()","v":50}]
[null,"Nassau",null,null,{"$f":"Incidence!M80","v":1369514},{"$f":"Incidence!M564","v":284.72000000000003},{"$f":"E51/F51","v":4810.0379320033717},null,null,0.08,1236335.8400000001,284.72000000000003,4342.2865973588086,null,{"$f":"ROW()","v":51}]
[null,"Suffolk",null,null,{"$f":"Incidence!N80","v":1492953},{"$f":"Incidence!N564","v":912.05},1636.9201249931473,null,null,0.03,1443011.19,912.05,1582.1623704840742,null,{"$f":"ROW()","v":52}]
[null,"Westchester",null,null,{"$f":"Incidence!O80","v":980244},{"$f":"Incidence!O564","v":430.5},2276.9895470383276,null,null,0.08,847065.84,430.5,1967.6326132404181,null,{"$f":"ROW()","v":53}]
[null,"Rockland",null,null,{"$f":"Incidence!P80","v":328868},{"$f":"Incidence!P564","v":173.55},1894.9467012388359,null,null,0.02,295573.46000000002,173.55,1703.1026217228464,null,{"$f":"ROW()","v":54}]
[null,"Putnam",null,null,{"$f":"Incidence!Q80","v":99323},{"$f":"Incidence!Q564","v":230.31},431.25786982762361,null,null,0.01,82675.73,230.31,358.97585862533106,null,{"$f":"ROW()","v":55}]
[null,"Dutchess",null,null,{"$f":"Incidence!R80","v":295568},{"$f":"Incidence!R564","v":795.63},371.4892600832045,null,null,0.01,278920.73,795.63,350.56587861191758,null,{"$f":"ROW()","v":56}]
[null,"Orange",null,null,{"$f":"Incidence!S80","v":382226},{"$f":"Incidence!S564","v":811.69},470.90145252497871,null,null,0.01,365578.73,811.69,450.39205854451819,null,{"$f":"ROW()","v":57}]
[null,"All 12 Counties",null,null,{"$f":"SUM(E46:E57)","v":13571394},null,null,null,null,{"$f":"SUM(J47:J57)","v":0.85},{"$f":"SUM(K46:K57)","v":13821103.050000001},null,null,null,{"$f":"ROW()","v":58}]
[null,"Area Outside CBD (NY region w/o Manhattan)",null,null,null,null,null,null,null,null,{"$f":"SUM(K47:K57)","v":10491649.050000001},{"$f":"SUM(L47:L57)","v":3918.27},{"$f":"K59/L59","v":2677.6227901599432},null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,"Pop.-weighted density (excl. Manhattan)",{"$f":"SUMPRODUCT(K47:K57,M47:M57)/K59","v":15524.699085454769},null,{"$f":"ROW()","v":60}]
[null,"Adjustments",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Our multiplicative factor to Manhattan residential population to allow for commuters and visitors",null,null,null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Resulting change in population assigned to Manhattan ",null,null,null,null,null,null,{"$f":"(I62-1)*E46","v":1664727},null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Resulting change in population assigned outside Manhattan ",null,null,null,null,null,null,{"$f":"-I63","v":-1664727},null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"\"Manhattan consists of much more than its residential population and daily workforce. This island, measuring just 22.96 square miles, serves approximately 4 million people on a typical weekday, 2.9 million on a weekend day, and a weekday night population of 2.05 million. Manhattan, with a residential population of 1.6 million more than doubles its daytime population as a result of the complex network of tunnels, bridges, railroad lines, subways, commuter rail, ferry systems, bicycle lanes, and pedestrian walkways that link Manhattan to the surrounding counties, cities and towns.\" -- The Dynamic Population of Manhattan, Mitchell L. Moss and Carson Qing, Rudin Center for Transportation Policy and Management Wagner School of Public Service, New York University, March, 2012, available at https://wagner.nyu.edu/files/rudincenter/dynamic_pop_manhattan.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Health Emission Factors, estimated as cost per kg of motor vehicle emissions in Los Angeles region",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,"1991 $",null,{"$f":"CONCATENATE(\"Figures in box at left are copied from 'Los Angeles' columns of Table 5 ('Cost per kilogram of Motor Vehicle Emissions in the USA in 1990') of the McCubbin & Delucchi paper referenced in Rows \",O8,\"-\",O11,\". NOx figure is for NO2 only, rather than from 'Total for NOx,' since total includes 'nitrate-PM10' which would double-count with particulates.\")","v":"Figures in box at left are copied from 'Los Angeles' columns of Table 5 ('Cost per kilogram of Motor Vehicle Emissions in the USA in 1990') of the McCubbin & Delucchi paper referenced in Rows 8-11. NOx figure is for NO2 only, rather than from 'Total for NOx,' since total includes 'nitrate-PM10' which would double-count with particulates."},null,null,"2019 $",null,"Geometric Mean",null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,"Low","High",null,null,null,"Low","High",null,null,null,null,{"$f":"ROW()","v":75}]
[null,"TOG",null,0.51,4.34,null,null,null,{"$f":"D76*CPI_2019/Constants!$J$51","v":0.95907387224669627},{"$f":"E76*CPI_2019/Constants!$J$51","v":8.1615305991189437},{"$f":"(I76*J76)^0.5","v":2.7977688888035237},null,null,null,{"$f":"ROW()","v":76}]
[null,"CO",null,0.03,0.18,null,null,null,{"$f":"D77*CPI_2019/Constants!$J$51","v":5.6416110132158595E-2},{"$f":"E77*CPI_2019/Constants!$J$51","v":0.33849666079295154},0.13819068309644861,null,null,null,{"$f":"ROW()","v":77}]
[null,"NOx",null,0.52,2.64,null,null,null,{"$f":"D78*CPI_2019/Constants!$J$51","v":0.97787924229074907},{"$f":"E78*CPI_2019/Constants!$J$51","v":4.9646176916299565},2.2033602943128363,null,null,null,{"$f":"ROW()","v":78}]
[null,"SO2",null,34.979999999999997,226.89,null,null,null,{"$f":"D79*CPI_2019/Constants!$J$51","v":65.781184414096913},{"$f":"E79*CPI_2019/Constants!$J$51","v":426.67504092951543},167.5326521973457,null,null,null,{"$f":"ROW()","v":79}]
[null,"PM10 (coarse)",null,38.119999999999997,78.34,null,null,null,{"$f":"D80*CPI_2019/Constants!$J$51","v":71.686070607929523},{"$f":"E80*CPI_2019/Constants!$J$51","v":147.32126892511013},102.76615632695045,null,null,null,{"$f":"ROW()","v":80}]
[null,"PM2.5",null,63.98,779.13,null,null,null,{"$f":"D81*CPI_2019/Constants!$J$51","v":120.31675754185022},{"$f":"E81*CPI_2019/Constants!$J$51","v":1465.1827962422908},419.86431528527623,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Changes in Health Costs within Manhattan CBD, due to pricing policy",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,"From changed emissions w/i Manhattan CBD",null,null,null,"From changed emissions outside Manhattan",null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,"Cost/kg emitted in CBD","∆ in emissions due to pricing policy, metric tons/year","∆ health cost from pricing, $millions/yr",null,"Cost/kg emitted outside CBD","∆ in emissions due to pricing policy, metric tons/year","∆ health cost from pricing, $millions/yr",null,"∆ health cost from pricing, $millions/yr","Shares of total health costs",null,{"$f":"ROW()","v":86}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"TOG",null,{"$f":"$K76*$K$22","v":197.1602241038176},{"$f":"Emissions!AD391","v":-39.082105965991587},{"$f":"D89*E89/1000","v":-7.7054367707040479},null,{"$f":"$K76*$K$25","v":20.988209308045139},{"$f":"Emissions!AE391","v":-322.11898389533098},{"$f":"H89*I89/1000","v":-6.7607006560900285},null,{"$f":"F89+J89","v":-14.466137426794077},{"$f":"L89/$L$95","v":7.2910813484650797E-2},null,{"$f":"ROW()","v":89}]
[null,"CO",null,9.7383690830900509,{"$f":"Emissions!AD392","v":-237.53130651279571},-2.3131675316101958,null,1.0366742559963038,{"$f":"Emissions!AE392","v":-2174.6491781442746},-2.2544028188056897,null,-4.5675703504158855,2.3021022134102408E-2,null,{"$f":"ROW()","v":90}]
[null,"NOx",null,155.27194227753083,{"$f":"Emissions!AD393","v":-82.596764753599018},-12.824960089131618,null,16.529094745152598,{"$f":"Emissions!AE393","v":-789.75153516764942},-13.053877949915792,null,-25.878838039047409,0.13043199285316251,null,{"$f":"ROW()","v":91}]
[null,"SO2",null,11806.112858042874,{"$f":"Emissions!AD394","v":-0.99404320283051362},-11.735786238387448,null,1256.7908608611128,{"$f":"Emissions!AE394","v":-8.5688849292951907},-10.76929626690872,null,-22.505082505296166,0.11342791960216898,null,{"$f":"ROW()","v":92}]
[null,"PM10 (coarse)",null,7241.9843157146424,{"$f":"Emissions!AD395-Emissions!AD396","v":-0.14409502498933291},-1.0435339109452584,null,770.92772294559325,{"$f":"Emissions!AE395-Emissions!AE396","v":-1.1671706887785902},-0.89980424138891812,null,-1.9433381523341766,9.7946232212618931E-3,null,{"$f":"ROW()","v":93}]
[null,"PM2.5",null,29588.055977791071,{"$f":"Emissions!AD396","v":-2.3271568498202888},-68.856047141582636,null,3149.7241124712782,{"$f":"Emissions!AE396","v":-19.110135615302305},-60.191654940113821,null,-129.04770208169646,0.65041362870465469,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,{"$f":"SUM(F89:F94)","v":-104.47893168236121},null,null,null,{"$f":"SUM(J89:J94)","v":-93.929736873222964},null,{"$f":"SUM(L89:L94)","v":-198.40866855558417},{"$f":"SUM(M89:M94)","v":1.0000000000000013},null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"Cost/kg columns are calculated by multiplying geometric mean in column from Cell K\",O76, \" to Cell K\",O81, \" by density ratios in Rows \",O22, \" (for Manhattan) and \",O25, \" (outside Manhattan).\")","v":"Cost/kg columns are calculated by multiplying geometric mean in column from Cell K76 to Cell K81 by density ratios in Rows 22 (for Manhattan) and 25 (outside Manhattan)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,{"$f":"CONCATENATE(\"Change in emissions columns are copied from last section of 'Emissions' tab: Column AD, Rows \",Emissions!AG391, \"-\",Emissions!AG396, \" for CBD; Column AE, Rows \",Emissions!AG391, \"-\",Emissions!AG396, \" for non-CBD. Note that PM10 figures are *difference* between Rows \",Emissions!AG395, \" and \",Emissions!AG396,\".\")","v":"Change in emissions columns are copied from last section of 'Emissions' tab: Column AD, Rows 391-396 for CBD; Column AE, Rows 391-396 for non-CBD. Note that PM10 figures are *difference* between Rows 395 and 396."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Health cost columns are products of cost/kg and change in emissions. Last column is sum of analogous columns for CBD and non-CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Note that we have not normalized the LA data for NYC to reflect factors such as different wind speeds (wind disperses pollutants) and canyonlike buildings (which concentrates them). The first factor would tend to lower costs in NYC vis-à-vis LA (per wind speed data in https://weatherspark.com/y/1705/Average-Weather-in-Los-Angeles-California-United-States-Year-Round#Sections-Wind and https://weatherspark.com/y/23912/Average-Weather-in-New-York-City-New-York-United-States-Year-Round#Sections-Wind), whereas the latter would tend to raise them.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Another Possible Data Source",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Iyad Kheirbek at al., \"The contribution of motor vehicle emissions to ambient fine particulate matter public health impacts in New York City: a health burden assessment,\" estimates mortality and morbidity from PM2.5 emissions from motor vehicles in New York City. The 14-page paper, published in Environ Health. 2016 Aug 26;15(1):89. doi: 10.1186/s12940-016-0172-6, and available via https://www.ncbi.nlm.nih.gov/pubmed/27566439, could provide a check or backstop to the fine-particulate (PM2.5) costs estimated here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]

{"sheet":"EMFAC","index":53,"n_rows":45,"n_cols":29,"rows_kept":45,"cut":false,"hidden":false,"merged":[[21,21,21,28],[4,1,5,13],[7,1,9,13],[11,1,12,13],[21,3,21,10],[21,12,21,19]]}
[null,"EMFAC",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[]
[null,"This worksheet displays the outputs of EMFAC runs for a range of vehicle speeds and vehicle types that apply to California highway and road conditions."]
[]
[]
[null,"As reported by CARB, \"The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways and local roads in California.\" Until recently, we used emission rates calculated with EMFAC2007. In Sept 2018 we switched over to the most recent version, EMFAC2017, available via https://www.arb.ca.gov/msei/categories.htm. "]
[]
[]
[]
[null,"For the running exhaust emissions, a second-degree polynomial fits to the array of emissions as a function of vehicle speeds for four pollutants: Total Organic Gases, Carbon Monoxide, Oxides of Nitrogen, and PM-10."]
[]
[]
[null,"EMFAC2017"]
[null,"Scenario Year: 2020 - Aggregate (alll model years)"]
[null,"Temperature 50F, Humidity 50%"]
[]
[]
[null,"A. Running exhaust emissions in grams/mile"]
[]
[null,null,null,"Light duty vehicles - includes cars and trucks up to 8500 lbs",null,null,null,null,null,null,null,null,"Heavy Duty Trucks - up to 33,000 lbs",null,null,null,null,null,null,null,null,"Buses"]
[null,"Speed (MPH)",null,"TOG","CO","NOx","CH4_RUNEX","SOx_RUNEX","PM10_ RUNEX","PM2_5_ RUNEX","N2O_ RUNEX",null,"TOG","CO","NOx","CH4_RUNEX","SOx_RUNEX","PM10_ RUNEX","PM2_5_ RUNEX","N2O_ RUNEX",null,"TOG","CO","NOx","CH4_RUNEX","SOx_RUNEX","PM10_ RUNEX","PM2_5_ RUNEX","N2O_ RUNEX"]
[null,5,null,0.27770262120075528,2.3326389162900756,0.40376730604239658,3.4958228309200187E-2,9.2808100567203771E-3,1.7916140250519824E-2,1.6755329802753755E-2,3.1262887679284306E-2,null,1.2649118680707025,3.3276201468543238,8.9361846477508724,6.1425755298360474E-2,2.4816587354777084E-2,0.1316353612028493,0.1258612022051038,0.33821188317900969,null,4.1199016501030918,18.595136644977675,7.3987575726252643,3.3687803141763659,1.9223656525000198E-2,9.1776177849287252E-2,8.7759790022581635E-2,0.37495330520085585]
[null,10,null,0.18186130033017056,1.8873174556445502,0.39787202794007304,2.1521332107108087E-2,7.4774948008165532E-3,1.2753886210918632E-2,1.196302415594739E-2,2.7904293254916151E-2,null,0.75923488713196274,2.461684442015875,5.7635135522671694,3.9488275868541645E-2,1.9216982753526752E-2,8.1978136996640152E-2,7.8367725571401092E-2,0.24133560129085932,null,3.3122021346527823,16.570665342724379,5.421905564875277,2.7799494473517878,1.6661564501819534E-2,6.6909003194049077E-2,6.3978981454387546E-2,0.30854217562794078]
[null,15,null,0.11541631804390608,1.6368495336534179,0.34665019958494681,1.4509663881904394E-2,5.8887755961177027E-3,8.4255971083442224E-3,7.8984189404017312E-3,1.9581125063744449E-2,null,0.36577686005881782,1.7244630556370035,3.0591437111528625,2.2381220585950413E-2,1.2922171151744866E-2,4.4097452779127085E-2,4.213258614679722E-2,0.13289835822561877,null,2.8325225385130874,16.315312638288866,3.6777925285543431,2.5414563654709088,1.2769874672113653E-2,3.8732200116810271E-2,3.7032286432034399E-2,0.2647963855070683]
[null,20,null,6.8009350462659879E-2,1.4316796460642396,0.219496952606862,9.7190804942647504E-3,4.5538701454552188E-3,4.8092249321601702E-3,4.4803621336641794E-3,1.3025062333913158E-2,null,0.23630664560598474,1.2799980191497098,3.0691791356062037,1.4591054874975459E-2,1.1761964218303288E-2,4.0183510603523161E-2,3.8407989512729578E-2,0.13259361393100863,null,4.0836619140688821,26.016745454153089,1.8745918366643477,3.932500504767519,7.1930066536432854E-3,1.0235387704964228E-2,9.7847885465210671E-3,0.30489764157289301]
[null,25,null,4.4908882464641739E-2,1.2599464679528893,0.15095844224208949,6.8114220392012283E-3,3.7021590908924702E-3,3.1060358298890885E-3,2.8806055390441557E-3,9.7597809114788724E-3,null,0.1727183074637825,0.99424606204135624,2.7737969551847255,1.0388683216959928E-2,1.0195105067497944E-2,3.3865634409552675E-2,3.2376455486100797E-2,0.12019693842072038,null,0.47265355398693032,3.3147017724251606,3.8682079465607075,0.30560332245367711,1.2868274386226815E-2,3.7358435406215314E-2,3.5722276770161411E-2,0.14804321237936968]
[null,30,null,3.4061527820690482E-2,1.1497368633589873,0.12262910281058148,5.2851823714591701E-3,3.2394002844390864E-3,2.2687445057351678E-3,2.0990479099370443E-3,8.3893621042138954E-3,null,0.14601291887736462,0.85393144663684117,2.6777045691344252,8.4691646314412478E-3,9.5576813346509946E-3,3.3394464203522191E-2,3.1932245492029887E-2,0.11745398270338904,null,0.40549770553226999,3.0510630371106875,3.585206501607868,0.27004074667023314,1.1559888421618337E-2,3.3212959176054171E-2,3.1760767537848303E-2,0.13614389367047855]
[null,35,null,2.8647953447982977E-2,1.0820070818976451,0.11496314144459654,4.4631962782844684E-3,3.0110974068584713E-3,1.8485696748999196E-3,1.7094480338436604E-3,7.9656871313054795E-3,null,0.12739049874493202,0.72313835219236455,2.7664026648468414,6.9441596047360426E-3,9.6490713465920922E-3,3.551427500244262E-2,3.3966607585298549E-2,0.12785529934557943,null,0.32454424602586507,2.6056926122569797,3.3249192869692097,0.20841279359234111,1.0718453111450643E-2,3.2662056563814656E-2,3.1237018154572693E-2,0.12754718425558678]
[null,40,null,2.5368262188408333E-2,1.0241245337123754,0.10829329176537066,3.968109676036031E-3,2.9187451509876026E-3,1.5781581137544458E-3,1.4583261030243497E-3,7.6306222909129223E-3,null,0.11047309621019745,0.65328438518019238,2.6584446042233387,6.0001054311119018E-3,9.5952203006866889E-3,3.6801850865938839E-2,3.5201004805757052E-2,0.12890985476792652,null,0.31941920615287006,2.723656922259166,2.8523390906285218,0.21656106356133598,1.0450304493211769E-2,3.2260590231864048E-2,3.085467278056243E-2,0.11933381633789428]
[null,45,null,2.4080623153128131E-2,0.97220877534536543,0.11564196081201374,3.7299979720254862E-3,2.9471281795737168E-3,1.4952943074404647E-3,1.3831888806999319E-3,7.6965747974376978E-3,null,9.6268640648507195E-2,0.59350855591449181,2.5108079652496236,5.2577284382767601E-3,9.3081417450194513E-3,3.8475669949904388E-2,3.6803341033557833E-2,0.12491810453479354,null,0.32868756448701958,2.9400805332575977,2.5444375914224775,0.23662808004334776,1.0618351521417034E-2,3.1436791005744653E-2,3.0066965107416146E-2,0.11254284246312263]
[null,50,null,2.5420928908843152E-2,0.9172668945948822,0.18210609711369588,3.7000239578875659E-3,3.1426670864053959E-3,1.8007684301189688E-3,1.6780597764678648E-3,9.1897878400929601E-3,null,8.8836430915529799E-2,0.62799123166352666,2.3350355250001837,5.1405496477713274E-3,8.2906607137455228E-3,3.6253647356012657E-2,3.4675447143790658E-2,0.10417673240300308,null,0.32272236398451054,3.0110874704287478,2.624520314975872,0.24210382651347606,1.0996159510282688E-2,2.8801970288691085E-2,2.7545929733046339E-2,0.108092996337301]
[null,55,null,2.4690780060770464E-2,0.86710948492497708,0.15841748004590636,3.6844046734595473E-3,3.1978420882951696E-3,1.6871794947121855E-3,1.5682637934863199E-3,8.748606741288292E-3,null,9.5023351573569462E-2,0.53009404477704658,2.6764975631116643,4.779832683474183E-3,9.3134654068514847E-3,5.5978268510670365E-2,5.3551320262237238E-2,0.13391183659944667,null,0.28249493085720079,2.6157823051077989,3.5251042710415885,0.20366354827734146,1.1052228353055646E-2,3.3717224220857676E-2,3.2250206625789514E-2,0.12109246970730832]
[]
[null,"Fit to 2nd order polynomial: coefficients (for speeds 5 - 55 mph)"]
[null,"Done using the LINEST function. Least Squares fit."]
[null,null,null,null,"=LINEST(I24:I34,$B24:$B34^{1,2})"]
[null,null,null,null,"x^2","x^1","x^0",null,null,null,null,null,null,"x^2","x^1","x^0",null,null,null,null,null,null,"x^2","x^1","x^0"]
[null,null,null,"TOG",{"$f":"LINEST(D24:D34,$B24:$B34^{1,2})","v":1.9007948605282034E-4},-1.5525443493392363E-2,0.32445994566666003,null,null,null,null,null,"TOG",{"$f":"LINEST(M24:M34,$B24:$B34^{1,2})","v":8.7569341756142389E-4},-7.0062615913854071E-2,1.4096450022473801,null,null,null,null,null,"TOG",{"$f":"LINEST(V24:V34,$B24:$B34^{1,2})","v":2.1928224534480036E-3},-0.2158112605246508,5.4802563404892748]
[null,null,null,"CO",{"$f":"LINEST(E24:E34,$B24:$B34^{1,2})","v":6.9486704660882178E-4},-6.7500788772360751E-2,2.5496434371560781,null,null,null,null,null,"CO",{"$f":"LINEST(N24:N34,$B24:$B34^{1,2})","v":1.7944208244542721E-3},-0.15537398006498601,3.8494499758328695,null,null,null,null,null,"CO",{"$f":"LINEST(W24:W34,$B24:$B34^{1,2})","v":7.4667745392510343E-3},-0.85083550095066518,25.825540193198556]
[null,null,null,"NOx",{"$f":"LINEST(F24:F34,$B24:$B34^{1,2})","v":2.7338096194549254E-4},-2.1932385338706339E-2,0.55456490868828578,null,null,null,null,null,"NOx",{"$f":"LINEST(O24:O34,$B24:$B34^{1,2})","v":4.9513748829619567E-3},-0.38342107138331244,9.3746156527774769,null,null,null,null,null,"NOx",{"$f":"LINEST(X24:X34,$B24:$B34^{1,2})","v":3.5879933395117809E-3},-0.27445353940811545,7.807212251434505]
[null,null,null,"SO2",{"$f":"LINEST(H24:H34,$B24:$B34^{1,2})","v":4.8678716372991711E-6},-4.0214576118771726E-4,1.0953592260606725E-2,null,null,null,null,null,"SO2",{"$f":"LINEST(Q24:Q34,$B24:$B34^{1,2})","v":1.1769176277111313E-5},-9.5513695421771177E-4,2.7358378761798446E-2,null,null,null,null,null,"SO2",{"$f":"LINEST(Z24:Z34,$B24:$B34^{1,2})","v":7.5970672481822614E-6},-5.7511231829747965E-4,2.0708720590772937E-2]
[null,null,null,"PM10",{"$f":"LINEST(I24:I34,$B24:$B34^{1,2})","v":1.2394109078460632E-5},-1.0226788776108173E-3,2.1671649875230532E-2,null,null,null,null,null,"PM10",{"$f":"LINEST(R24:R34,$B24:$B34^{1,2})","v":9.42072742904302E-5},-6.7127336381409951E-3,0.14469621388116088,null,null,null,null,null,"PM10",{"$f":"LINEST(AA24:AA34,$B24:$B34^{1,2})","v":5.450853117549084E-5},-4.0437029630483188E-3,9.8362895835848951E-2]
[null,null,null,"PM2.5",{"$f":"LINEST(J24:J34,$B24:$B34^{1,2})","v":1.1631035386550075E-5},-9.5938231830180586E-4,2.0303422042637076E-2,null,null,null,null,null,"PM2.5",{"$f":"LINEST(S24:S34,$B24:$B34^{1,2})","v":9.0090767256274925E-5},-6.4184098100660229E-3,0.13833663243406485,null,null,null,null,null,"PM2.5",{"$f":"LINEST(AB24:AB34,$B24:$B34^{1,2})","v":5.2126902920612053E-5},-3.8667443170379706E-3,9.4055816894700842E-2]

{"sheet":"Old EMFAC","index":54,"n_rows":78,"n_cols":26,"rows_kept":78,"cut":false,"hidden":false,"merged":[[3,1,4,12],[58,3,58,9],[58,11,58,17],[58,19,58,25],[6,1,8,12],[20,3,20,9],[20,11,20,17],[20,19,20,25],[10,1,11,12]]}
[null,"Old EMFAC",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[]
[null,"This worksheet displays the outputs of EMFAC runs for a range of vehicle speeds and vehicle types that apply to California highway and road conditions."]
[]
[]
[null,"As reported by CARB, \"The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways and local roads in California. EMFAC2007 is the most recent version of this model.\"  However, those emission factors have been superseded by EMFAC 2014. See https://www.arb.ca.gov/msei/categories.htm. "]
[]
[]
[]
[null,"For the running exhaust emissions, a second-degree polynomial fits to the array of emissions as a function of vehicle speeds for four pollutants: Total Organic Gases, Carbon Monoxide, Oxides of Nitrogen, and PM-10."]
[]
[]
[null,"EMFAC2007 V2.3"]
[null,"Scenario Year: 2009 - All Model Years 1965-2009"]
[null,"Temperature 50F, Humidity 50%"]
[]
[]
[null,"A. Running exhaust emissions in grams/mile"]
[]
[null,null,null,"Light duty vehicles - includes cars and trucks up to 8500 lbs",null,null,null,null,null,null,null,"Heavy Duty Trucks - up to 33,000 lbs",null,null,null,null,null,null,null,"Buses"]
[null,"Speed (MPH)",null,"TOG","CO","NOx","PM10","PM10 - Tire wear","PM10 - Brake wear","Total PM10",null,"TOG","CO","NOx","PM10","PM10 - Tire wear","PM10 - Brake wear","Total PM10",null,"TOG","CO","NOx","PM10","PM10 - Tire wear","PM10 - Brake wear","Total PM10"]
[null,3,null,0.73499999999999999,7.1180000000000003,0.754,8.8999999999999996E-2,8.0000000000000002E-3,1.2999999999999999E-2,{"$f":"SUM(G23:I23)","v":0.11},null,1.2829999999999999,13.416,6.234,0.27600000000000002,1.2E-2,1.2999999999999999E-2,{"$f":"SUM(O23:Q23)","v":0.30100000000000005},null,3.34,29.748999999999999,26.433,0.82699999999999996,0.01,1.2999999999999999E-2,{"$f":"SUM(W23:Y23)","v":0.85}]
[null,6,null,0.57499999999999996,6.327,0.68700000000000006,6.8000000000000005E-2,8.0000000000000002E-3,1.2999999999999999E-2,8.900000000000001E-2,null,1.1859999999999999,12.333,6.0110000000000001,0.26200000000000001,1.2E-2,1.2999999999999999E-2,0.28700000000000003,null,3.0910000000000002,27.248999999999999,25.111999999999998,0.77900000000000003,0.01,1.2999999999999999E-2,0.80200000000000005]
[null,9,null,0.45800000000000002,5.6890000000000001,0.63100000000000001,5.2999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,7.3999999999999996E-2,null,0.94799999999999995,9.7050000000000001,5.4370000000000003,0.22500000000000001,1.2E-2,1.2999999999999999E-2,0.25,null,2.4750000000000001,21.222999999999999,21.785,0.65600000000000003,0.01,1.2999999999999999E-2,0.67900000000000005]
[null,12,null,0.371,5.1669999999999998,0.58399999999999996,4.2000000000000003E-2,8.0000000000000002E-3,1.2999999999999999E-2,6.3E-2,null,0.76900000000000002,7.7830000000000004,4.9820000000000002,0.19500000000000001,1.2E-2,1.2999999999999999E-2,0.22000000000000003,null,2.0110000000000001,16.866,19.228999999999999,0.55800000000000005,0.01,1.2999999999999999E-2,0.58100000000000007]
[null,15,null,0.30599999999999999,4.7350000000000003,0.54500000000000004,3.4000000000000002E-2,8.0000000000000002E-3,1.2999999999999999E-2,5.5E-2,null,0.63400000000000001,6.3630000000000004,4.6230000000000002,0.17,1.2E-2,1.2999999999999999E-2,0.19500000000000003,null,1.6579999999999999,13.673999999999999,17.263999999999999,0.48,0.01,1.2999999999999999E-2,0.503]
[null,18,null,0.25700000000000001,4.3739999999999997,0.51200000000000001,2.8000000000000001E-2,8.0000000000000002E-3,1.2999999999999999E-2,4.9000000000000002E-2,null,0.53,5.3010000000000002,4.3449999999999998,0.15,1.2E-2,1.2999999999999999E-2,0.17500000000000002,null,1.387,11.31,15.762,0.41799999999999998,0.01,1.2999999999999999E-2,0.441]
[null,21,null,0.22,4.07,0.48499999999999999,2.3E-2,8.0000000000000002E-3,1.2999999999999999E-2,4.3999999999999997E-2,null,0.44900000000000001,4.5019999999999998,4.1319999999999997,0.13300000000000001,1.2E-2,1.2999999999999999E-2,0.15800000000000003,null,1.177,9.5429999999999993,14.628,0.36699999999999999,0.01,1.2999999999999999E-2,0.39]
[null,24,null,0.191,3.8119999999999998,0.46400000000000002,0.02,8.0000000000000002E-3,1.2999999999999999E-2,4.1000000000000002E-2,null,0.38600000000000001,3.8959999999999999,3.9769999999999999,0.12,1.2E-2,1.2999999999999999E-2,0.14500000000000002,null,1.0129999999999999,8.2140000000000004,13.795999999999999,0.32600000000000001,0.01,1.2999999999999999E-2,0.34900000000000003]
[null,27,null,0.16900000000000001,3.5920000000000001,0.44600000000000001,1.7000000000000001E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.7999999999999999E-2,null,0.33600000000000002,3.4369999999999998,3.8719999999999999,0.108,1.2E-2,1.2999999999999999E-2,0.13300000000000001,null,0.88400000000000001,7.2119999999999997,13.218999999999999,0.29299999999999998,0.01,1.2999999999999999E-2,0.316]
[null,30,null,0.152,3.4060000000000001,0.432,1.4999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.5999999999999997E-2,null,0.29699999999999999,3.09,3.8109999999999999,9.9000000000000005E-2,1.2E-2,1.2999999999999999E-2,0.124,null,0.78200000000000003,6.4580000000000002,12.864000000000001,0.26600000000000001,0.01,1.2999999999999999E-2,0.28900000000000003]
[null,33,null,0.13900000000000001,3.2480000000000002,0.42099999999999999,1.4E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.4999999999999996E-2,null,0.26500000000000001,2.831,3.794,9.0999999999999998E-2,1.2E-2,1.2999999999999999E-2,0.11599999999999999,null,0.70099999999999996,5.9,12.712,0.24299999999999999,0.01,1.2999999999999999E-2,0.26600000000000001]
[null,36,null,0.129,3.1150000000000002,0.41399999999999998,1.2999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.3999999999999996E-2,null,0.24,2.6429999999999998,3.8170000000000002,8.4000000000000005E-2,1.2E-2,1.2999999999999999E-2,0.109,null,0.63700000000000001,5.4969999999999999,12.755000000000001,0.22500000000000001,0.01,1.2999999999999999E-2,0.24800000000000003]
[null,39,null,0.122,3.0059999999999998,0.40899999999999997,1.2E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.3000000000000002E-2,null,0.22,2.516,3.8820000000000001,7.9000000000000001E-2,1.2E-2,1.2999999999999999E-2,0.104,null,0.58699999999999997,5.2240000000000002,12.993,0.21099999999999999,0.01,1.2999999999999999E-2,0.23400000000000001]
[null,42,null,0.11700000000000001,2.92,0.40699999999999997,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.20399999999999999,2.4409999999999998,3.9910000000000001,7.3999999999999996E-2,1.2E-2,1.2999999999999999E-2,9.8999999999999991E-2,null,0.54700000000000004,5.0629999999999997,13.436,0.19900000000000001,0.01,1.2999999999999999E-2,0.22200000000000003]
[null,45,null,0.115,2.8570000000000002,0.40799999999999997,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.192,2.4129999999999998,4.1459999999999999,7.0999999999999994E-2,1.2E-2,1.2999999999999999E-2,9.5999999999999988E-2,null,0.51800000000000002,5.0060000000000002,14.108000000000001,0.19,0.01,1.2999999999999999E-2,0.21300000000000002]
[null,48,null,0.114,2.8170000000000002,0.41099999999999998,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.182,2.4319999999999999,4.3550000000000004,6.8000000000000005E-2,1.2E-2,1.2999999999999999E-2,9.2999999999999999E-2,null,0.496,5.048,15.042,0.184,0.01,1.2999999999999999E-2,0.20700000000000002]
[null,51,null,0.115,2.802,0.41699999999999998,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.17499999999999999,2.4980000000000002,4.625,6.5000000000000002E-2,1.2E-2,1.2999999999999999E-2,0.09,null,0.48099999999999998,5.1929999999999996,16.289000000000001,0.17899999999999999,0.01,1.2999999999999999E-2,0.20200000000000001]
[null,54,null,0.11799999999999999,2.8149999999999999,0.42699999999999999,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.17,2.6160000000000001,4.9660000000000002,6.4000000000000001E-2,1.2E-2,1.2999999999999999E-2,8.8999999999999996E-2,null,0.47299999999999998,5.4489999999999998,17.920000000000002,0.17599999999999999,0.01,1.2999999999999999E-2,0.19900000000000001]
[null,57,null,0.124,2.8620000000000001,0.439,1.0999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.2000000000000001E-2,null,0.16700000000000001,2.7930000000000001,5.3949999999999996,6.2E-2,1.2E-2,1.2999999999999999E-2,8.6999999999999994E-2,null,0.47099999999999997,5.8310000000000004,20.033999999999999,0.17499999999999999,0.01,1.2999999999999999E-2,0.19800000000000001]
[null,60,null,0.13200000000000001,2.948,0.45500000000000002,1.2E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.3000000000000002E-2,null,0.16600000000000001,3.04,5.93,6.2E-2,1.2E-2,1.2999999999999999E-2,8.6999999999999994E-2,null,0.47499999999999998,6.367,22.768999999999998,0.17599999999999999,0.01,1.2999999999999999E-2,0.19900000000000001]
[null,63,null,0.14299999999999999,3.085,0.47499999999999998,1.2999999999999999E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.3999999999999996E-2,null,0.16800000000000001,3.3730000000000002,6.5970000000000004,6.2E-2,1.2E-2,1.2999999999999999E-2,8.6999999999999994E-2,null,0.48599999999999999,7.0910000000000002,26.314,0.17899999999999999,0.01,1.2999999999999999E-2,0.20200000000000001]
[null,66,null,0.152,3.21,0.49099999999999999,1.4E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.4999999999999996E-2,null,0.17100000000000001,3.8170000000000002,7.431,6.2E-2,1.2E-2,1.2999999999999999E-2,8.6999999999999994E-2,null,0.503,8.0559999999999992,30.934999999999999,0.184,0.01,1.2999999999999999E-2,0.20700000000000002]
[null,69,null,0.152,3.2109999999999999,0.49399999999999999,1.4E-2,8.0000000000000002E-3,1.2999999999999999E-2,3.4999999999999996E-2,null,0.17599999999999999,4.4029999999999996,8.4779999999999998,6.3E-2,1.2E-2,1.2999999999999999E-2,8.7999999999999995E-2,null,0.52700000000000002,9.3379999999999992,37.008000000000003,0.191,0.01,1.2999999999999999E-2,0.21400000000000002]
[]
[null,"Fit to 2nd order polynomial: coefficients"]
[null,"Done using the LINEST function. Least Squares fit."]
[]
[null,null,null,null,"x^2","x^1","x^0",null,null,null,null,null,"x^2","x^1","x^0",null,null,null,null,null,"x^2","x^1","x^0"]
[null,null,null,"TOG",{"$f":"LINEST(D23:D40,$B23:$B40^{1,2})","v":3.9783998394679528E-4},-3.2291946164430693E-2,0.74540931372549046,null,null,null,null,"TOG",{"$f":"LINEST(L23:L40,$B23:$B40^{1,2})","v":6.7249312005503994E-4},-5.8241980564155506E-2,1.4210857843137257,null,null,null,null,"TOG",{"$f":"LINEST(T23:T40,$B23:$B40^{1,2})","v":1.7605492489393428E-3},-0.15173624011007916,3.7045392156862742]
[null,null,null,"CO",{"$f":"LINEST(E23:E40,$B23:$B40^{1,2})","v":2.2223153881435623E-3},-0.20281095201238394,7.4294583333333337,null,null,null,null,"CO",{"$f":"LINEST(M23:M40,$B23:$B40^{1,2})","v":7.749849501203992E-3},-0.63175655744754056,14.844845588235298,null,null,null,null,"CO",{"$f":"LINEST(U23:U40,$B23:$B40^{1,2})","v":1.7544784141726867E-2},-1.4240987917096664,32.856840686274509]
[null,null,null,"NOx",{"$f":"LINEST(F23:F40,$B23:$B40^{1,2})","v":2.3143848182547889E-4},-1.8993851049191615E-2,0.7891617647058824,null,null,null,null,"NOx",{"$f":"LINEST(N23:N40,$B23:$B40^{1,2})","v":2.809597523219816E-3},-0.1865392156862746,6.8536470588235296,null,null,null,null,"NOx",{"$f":"LINEST(V23:V40,$B23:$B40^{1,2})","v":1.4610960612315106E-2},-1.0006482843137257,29.519384803921575]
[null,null,null,"PM10",{"$f":"LINEST(J23:J40,$B23:$B40^{1,2})","v":5.0374097007223952E-5},-4.0605220158238739E-3,0.11043872549019611,null,null,null,null,"PM10",{"$f":"LINEST(R23:R40,$B23:$B40^{1,2})","v":1.0954162366701072E-4},-1.0256944444444449E-2,0.33147794117647067,null,null,null,null,"PM10",{"$f":"LINEST(Z23:Z40,$B23:$B40^{1,2})","v":3.656619080380692E-4},-3.2956591847265231E-2,0.94206127450980404]
[]
[]
[null,"B. Starting emissions in grams/trip"]
[]
[null,null,null,"Light duty vehicles - includes cars and trucks up to 8500 lbs",null,null,null,null,null,null,null,"Heavy Duty Trucks - up to 33,000 lbs",null,null,null,null,null,null,null,"Buses"]
[null,"Vehicle resting time before trip (mins)",null,"Total Organic Gases","Carbon Monoxide","Oxides of Nitrogen","Carbon Dioxide","PM10",null,null,null,"Total Organic Gases","Carbon Monoxide","Oxides of Nitrogen","Carbon Dioxide","PM10",null,null,null,"Total Organic Gases","Carbon Monoxide","Oxides of Nitrogen","Carbon Dioxide","PM10"]
[null,5,null,0.17699999999999999,1.486,0.34799999999999998,12.797000000000001,1E-3,null,null,null,0.63800000000000001,6.0060000000000002,1.0609999999999999,14.836,1E-3,null,null,null,0.41599999999999998,3.7269999999999999,0.377,4.242,0]
[null,10,null,0.28399999999999997,2.6360000000000001,0.40100000000000002,15.526999999999999,2E-3,null,null,null,0.90800000000000003,10.225,1.3660000000000001,19.699000000000002,1E-3,null,null,null,0.56399999999999995,6.1749999999999998,0.56200000000000006,5.9720000000000004,1E-3]
[null,20,null,0.48199999999999998,4.8170000000000002,0.496,21.38,4.0000000000000001E-3,null,null,null,1.415,18.167000000000002,1.905,29.628,2E-3,null,null,null,0.84099999999999997,10.773999999999999,0.88600000000000001,9.3919999999999995,1E-3]
[null,30,null,0.66400000000000003,6.8369999999999997,0.57499999999999996,27.754999999999999,5.0000000000000001E-3,null,null,null,1.879,25.45,2.3460000000000001,39.826000000000001,3.0000000000000001E-3,null,null,null,1.0960000000000001,14.975,1.149,12.76,1E-3]
[null,40,null,0.82799999999999996,8.6969999999999992,0.63700000000000001,34.652999999999999,6.0000000000000001E-3,null,null,null,2.2999999999999998,32.072000000000003,2.69,50.293999999999997,4.0000000000000001E-3,null,null,null,1.3280000000000001,18.779,1.3540000000000001,16.077000000000002,2E-3]
[null,50,null,0.97399999999999998,10.397,0.68300000000000005,42.073,8.0000000000000002E-3,null,null,null,2.6789999999999998,38.034999999999997,2.9359999999999999,61.031999999999996,5.0000000000000001E-3,null,null,null,1.5369999999999999,22.186,1.498,19.341999999999999,2E-3]
[null,60,null,1.0960000000000001,11.935,0.71299999999999997,50.015999999999998,8.9999999999999993E-3,null,null,null,2.9790000000000001,43.338000000000001,3.0859999999999999,72.039000000000001,6.0000000000000001E-3,null,null,null,1.6970000000000001,25.195,1.5820000000000001,22.556000000000001,2E-3]
[null,120,null,1.256,15.329000000000001,0.754,104.372,1.2999999999999999E-2,null,null,null,2.3170000000000002,28.335000000000001,3.2050000000000001,133.37899999999999,8.0000000000000002E-3,null,null,null,1.175,14.308999999999999,1.619,36.607999999999997,3.0000000000000001E-3]
[null,180,null,0.83699999999999997,9.5990000000000002,0.80400000000000005,119.354,1.4E-2,null,null,null,2.3359999999999999,26.632999999999999,3.2040000000000002,153.351,8.9999999999999993E-3,null,null,null,1.252,15.215,1.613,42.015000000000001,3.0000000000000001E-3]
[null,240,null,0.88800000000000001,10.211,0.79800000000000004,134.02600000000001,1.4999999999999999E-2,null,null,null,2.4769999999999999,28.195,3.1840000000000002,172.53399999999999,8.9999999999999993E-3,null,null,null,1.3280000000000001,16.079999999999998,1.603,47.103999999999999,3.0000000000000001E-3]
[null,300,null,0.93700000000000006,10.773,0.78900000000000003,148.39099999999999,1.6E-2,null,null,null,2.6139999999999999,29.664999999999999,3.1539999999999999,190.928,8.9999999999999993E-3,null,null,null,1.4019999999999999,16.904,1.59,51.872999999999998,3.0000000000000001E-3]
[null,360,null,0.98499999999999999,11.286,0.77700000000000002,162.447,1.6E-2,null,null,null,2.7490000000000001,31.042999999999999,3.1160000000000001,208.53299999999999,0.01,null,null,null,1.474,17.686,1.573,56.323999999999998,3.0000000000000001E-3]
[null,420,null,1.032,11.750999999999999,0.76200000000000001,176.19399999999999,1.7000000000000001E-2,null,null,null,2.88,32.329000000000001,3.07,225.34899999999999,0.01,null,null,null,1.5449999999999999,18.425999999999998,1.554,60.456000000000003,4.0000000000000001E-3]
[null,480,null,1.0780000000000001,12.166,0.74399999999999999,189.63200000000001,1.7999999999999999E-2,null,null,null,3.0089999999999999,33.523000000000003,3.0139999999999998,241.376,0.01,null,null,null,1.613,19.125,1.53,64.269000000000005,4.0000000000000001E-3]
[null,540,null,1.123,12.532,0.72399999999999998,202.76300000000001,1.7999999999999999E-2,null,null,null,3.1339999999999999,34.625999999999998,2.95,256.61399999999998,1.0999999999999999E-2,null,null,null,1.68,19.782,1.504,67.763999999999996,4.0000000000000001E-3]
[null,600,null,1.167,12.849,0.7,215.584,1.9E-2,null,null,null,3.2549999999999999,35.636000000000003,2.8780000000000001,271.06299999999999,1.0999999999999999E-2,null,null,null,1.7450000000000001,20.396999999999998,1.474,70.938999999999993,4.0000000000000001E-3]
[null,660,null,1.21,13.118,0.67300000000000004,228.09700000000001,1.9E-2,null,null,null,3.3740000000000001,36.555,2.7959999999999998,284.72300000000001,1.0999999999999999E-2,null,null,null,1.8069999999999999,20.971,1.4410000000000001,73.796000000000006,4.0000000000000001E-3]
[null,720,null,1.252,13.337,0.64400000000000002,240.30199999999999,1.9E-2,null,null,null,3.4889999999999999,37.381999999999998,2.706,297.59500000000003,1.2E-2,null,null,null,1.8680000000000001,21.504000000000001,1.405,76.334000000000003,4.0000000000000001E-3]

{"sheet":"Speed-CO2","index":55,"n_rows":143,"n_cols":10,"rows_kept":143,"cut":false,"hidden":false,"merged":[[41,3,41,4],[28,1,28,3],[36,7,39,12],[4,1,6,11],[8,1,10,11],[12,1,14,11],[15,1,15,11],[16,1,18,11]]}
[null,"Speed-CO2",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[]
[null,"This worksheet presents an exponential polynomial equation (and graphic visualization) of the empirically derived relationship between vehicle speeds and vehicle mpg's observed on California freeways, to convert calculated average speeds into mpg estimates and CO2 emissions."]
[]
[]
[]
[null,"Coefficients for the equation are from an Excel file, CO2 curves.xlsx, provided in Sept 2018 by Kanok Boriboonsomsin, Ph.D., P.E. | Research Engineer, College of Engineering - Center for Environmental Research and Technology, University of California, Riverside, 1084 Columbia Ave, Riverside, CA 92507."]
[]
[]
[]
[null,"The 2018 equation was developed from measurements in 2018  of on-road vehicles in Los Angeles County, CA 2018. It replaces a previous fourth-order equation developed from emissions measurements in Riverside County, CA in 2005 and published in Matthew Barth & Kanok Boriboonsomsin, \"Real-World CO2 Impacts of Traffic Congestion\" (TRB 2008)."]
[]
[]
[]
[null,"Barth & Boriboonsomsin wrote, regarding their 2005 equation, \"Note that we have weighted the results of the different vehicle types based on a typical light-duty fleet found in Southern California (based on the fleet mix of 2005).\" (p. 8) Presumably, the same procedure underlay their 2018 equation."]
[]
[]
[]
[null,"Barth: (951) 781-5782, formerly barth@cert.ucr.edu, apparently now (a/o 13-Sept-2018) barth@ee.ucr.edu"]
[null,"Boriboonsomsin, (951) 781-5792, kanok@cert.ucr.edu"]
[]
[null,"2008 Equation: y= exp-(b0 + b1 x + b2 x^2 + b3 x^3)"]
[null,"x is in miles per hour"]
[null,"y is CO2 emissions in grams, per mile"]
[]
[null,null,null,null,"b0","b1","b2","b3"]
[null,"\"Real-World\"",null,null,7.1739933303895302,-6.5029450195758995E-2,1.0012514780889999E-3,-4.420031868E-6]
[null,"\"Real World\" referes to on-road traffic conditions on CA highways"]
[]
[null,"Adjustment factors for NYC conditions, including arterials and local streets with stop-and-go driving (to be applied to values given by real-world equation)"]
[null,"MPG factor for driving within cordon:",null,null,null,null,0.75]
[null,"MPG factor for driving outside cordon:",null,null,null,null,0.9]
[]
[null,"Adjustment factors for trucks and buses"]
[null,"MPG factor for trucks relative to autos (non-taxicabs)",null,null,null,null,0.5,"All factors are Komanoff estimates and are placeholders, pending more exacting derivations. 18-wheeler factor does not figure in calculations in this worksheet."]
[null,"MPG factor for buses relative to autos (non-taxicabs)",null,null,null,null,{"$f":"1/3","v":0.33333333333333331}]
[null,"MPG factor for large (3-axle) trucks relative to autos",null,null,null,null,0.4]
[null,"MPG factor for 18-wheelers relative to autos (non-taxicabs)",null,null,null,null,0.25]
[]
[null,null,null,"Real-World"]
[null,"MPH",null,"Grams/mi","MPG"]
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[null,2,null,1150.4449685062889,{"$f":"1000*Constants!$J$15/D45","v":7.7397600439427929}]
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[null,8,null,825.15790424473312,{"$f":"1000*Constants!$J$15/D51","v":10.790865547303923}]
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[null,36,null,374.02926092150102,{"$f":"1000*Constants!$J$15/D79","v":23.806073295075041}]
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[null,71,null,{"$f":"EXP($E$29+$F$29*$B114+$G$29*$B114^2+$H$29*$B114^3)","v":412.49869479217233},{"$f":"1000*Constants!$J$15/D114","v":21.585930119090808}]
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{"sheet":"Parking","index":56,"n_rows":485,"n_cols":21,"rows_kept":485,"cut":false,"hidden":false,"merged":[[436,10,444,13],[432,10,435,13],[445,10,448,13],[449,10,456,13],[457,10,467,13],[13,1,14,8],[10,1,11,8],[23,1,25,8],[69,5,70,5],[69,6,70,6],[27,7,27,8],[28,6,31,6],[28,7,31,7],[28,8,31,8],[27,5,27,6],[69,7,70,7],[28,5,31,5],[68,16,69,20],[66,16,66,20],[85,16,86,20],[69,8,70,8],[108,9,110,10],[92,1,93,8],[107,5,107,6],[69,4,70,4],[106,8,107,8],[107,3,107,4],[86,1,90,8],[115,1,117,8],[230,1,233,7],[56,1,60,8],[27,11,27,12],[28,11,31,11],[28,12,31,12],[34,11,35,11],[169,1,172,8],[174,1,177,8],[180,1,185,8],[153,3,155,4],[139,10,146,12],[149,10,166,12],[195,1,196,8],[192,1,193,8],[186,1,187,8],[441,1,445,7],[235,1,236,7],[451,5,460,6],[321,1,321,7],[272,8,273,8],[339,1,344,8],[307,1,310,8],[311,1,313,8],[264,1,265,7],[272,1,273,7],[238,1,240,7],[247,1,249,8],[333,7,334,10],[315,1,315,7],[452,9,460,9],[346,8,346,11],[25,9,26,10],[95,1,103,8],[27,9,27,10],[28,9,31,9],[28,10,31,10],[44,1,46,11],[48,1,49,11],[52,1,55,8]]}
[null,"Parking",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet has six parts: ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"1. Specify cost to park within the CBD, for use in developing baseline parking costs in Motor Vs worksheet.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O22,\".\")","v":"Go to Row 22."},null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"2. Estimate potential revenue from raising curbside parking rates to market-clearing levels.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O64,\".\")","v":"Go to Row 64."},null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"3. Estimate congestion impact of several bills intended to constrain issuance of parking tickets and otherwise increase provision of free parking, passed by NY City Council over a mayoral veto, in late 2009 .",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O166,\".\")","v":"Go to Row 166."},null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"4. Facilitate in estimating the impact of parking costs on trip entries into the Manhattan CBD, by calculating the average amounts that are paid for parking for work and non-work trips, during the various time periods on weekdays.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O306,\".\")","v":"Go to Row 306."},null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"5. Estimate congestion costs from double-parking within the Manhattan CBD.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O347,\".\")","v":"Go to Row 347."},null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"6. Estimate revenue gain from eliminating Manhattan residents' exemption from sales tax on monthly parking.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O429,\".\")","v":"Go to Row 429."},null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"1. Specify cost to park within the CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"This part draws heavily on a March 1, 2007 report  by Schaller Consulting for Transportation Alternatives, \"Free Parking, Congested Streets: The Skewed Economic Incentives to Drive in Manhattan.\" (Henceforth, Schaller 2007.) <http://www.transalt.org/files/newsroom/reports/freeparking_traffictrouble.pdf>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,"This array is the one we draw on in Motor Vs tab.",null,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,"Schaller (early 2007)",null,"Komanoff (2012)",null,"Komanoff (2019)",null,"Cambridge Systematics (2007)",null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,"Share of CBD commuters falling in this category","Daily parking cost for these commuters","Share of CBD commuters falling in this category","Daily parking cost for these commuters","Share of CBD commuters falling in this category","Daily parking cost for these commuters","Share of CBD commuters falling in this category","Daily parking cost for these commuters",null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"CBD car commutes, classified by parking situation",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"1. Pay to park in lot or garage",null,null,null,0.38,24.42,{"$f":"F33+F33/($F$34+$F$33)*($F$36-$H$36)","v":0.3967906976744186},25,0.39,30,0.42,null,null,{"$f":"ROW()","v":33}]
[null,"2. Park on street, pay via meter",null,null,null,0.05,1.73,{"$f":"F34+F34/($F$34+$F$33)*($F$36-$H$36)","v":5.2209302325581394E-2},2,0.04,3,0.05,null,null,{"$f":"ROW()","v":34}]
[null,"3. Parking is provided at no cost or is reimbursed",null,null,null,0.38,0,0.38,{"$f":"$I$52*I33","v":5},0.37,{"$f":"$I$52*K33","v":6},0.53,null,null,{"$f":"ROW()","v":35}]
[null,"4. Park on street without paying ",null,null,null,0.19,0,{"$f":"F36*0.9","v":0.17100000000000001},0,0.2,0,null,null,null,{"$f":"ROW()","v":36}]
[null,"Total",null,null,null,{"$f":"SUM(F33:F36)","v":1},{"$f":"SUMPRODUCT(F33:F36,G33:G36)","v":9.3660999999999994},{"$f":"SUM(H33:H36)","v":1},{"$f":"SUMPRODUCT(H33:H36,I33:I36)","v":11.924186046511627},{"$f":"SUM(J33:J36)","v":1},{"$f":"SUMPRODUCT(J33:J36,K33:K36)","v":14.04},{"$f":"SUM(L33:L36)","v":1},null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,{"$f":"CONCATENATE(\"Note: Daily parking costs above are used to guide specification of baseline parking costs in 'Motor Vs' worksheet (Rows \",'Motor Vs'!O261, \"-\",'Motor Vs'!O263, \"), rather than being inputted directly into those rows.\")","v":"Note: Daily parking costs above are used to guide specification of baseline parking costs in 'Motor Vs' worksheet (Rows 261-263), rather than being inputted directly into those rows."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Source for Schaller: Schaller 2007, pp. 9-10. Note: his weighted avg of $8.89 (p. 10) is slightly less than total shown above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Source for Cambridge Systematics: https://www.dot.ny.gov/programs/repository/Tech%20Memo%20on_Parking.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Source for Komanoff 2012: Schaller's share for \"park on street w/o paying\" (#4) was reduced by one-tenth to reflect presumed decrease in placard parking by Bloomberg administration; change was allocated proportionally to #1 and #2. Cost for #3, which Schaller counted as zero, is assumed to be a percentage of Schaller #1 cost, with the % given in Cell I52, on premise that the party bankrolling \"free\" parking recognizes direct and/or opportunity cost of providing space. Percentage is Komanoff assumption, discussed below. I also raised costs for #1 and #2 very slightly in an effort to reflect 2012 conditions vs. 2006.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Sources for Komanoff 2019: I raised my 2012 share for \"park on street w/o paying\" (#4) to reflect increase in placard parking under deBlasio administration; I then slightly reduced the shares for #1, #2 and #3 so shares wouldsum to100%. I also raised $ rates somewhat from 2012. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Assumed daily cost for \"parking provided or reimbursed,\" % of cost for \"paid lot or garage\":",null,null,null,null,null,null,0.2,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Schaller, p. 9: \"38% had parking provided to them or were reimbursed the cost. This group includes 24% who were reimbursed for parking expense by an employer or others, 10% for whom employers or others provided a parking space; and 4% who can deduct parking cost as a business expense.\" A cost ratio of 20% appears to be a rough but reasonable distillation of these percentages. (Ratio previously was 25%, until April 11, 2019.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Note that a 2008 study that analyzed, inter alia, the likelihood that drivers commuting to the CBD through Northern Manhattan would use Harlem and other districts as \"park-and-ride\" areas, reported average monthly off-street parking costs of $598 for \"East-West 60s,\" $470 for Downtown (lower Manhattan), and $238 for Northern Manhattan (apparently, 110th Street and all points north). The reported data source was Bestparking.com. The study, \"Northern Manhattan and the Congestion Pricing Plan,\" was prepared by West Harlem Environmental Action and The Earth Institute of Columbia University. See Figure 2, p. 10.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"2. Estimate revenue and traffic impacts of rationalizing curbside parking charges within the Manhattan CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"A. Specify number of parking spaces -- potential as well as currently metered -- in the Manhattan CBD and estimate the number in the 37 blocks immediately to the north (to 96 St.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},null,"Area of Manhattan Community Boards"]
[null,"CBD spaces are available from a published source and are given directly below. Spaces in zone from 59 St to 96 St must be est'd from other available data; this is done here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69},null,"Source: NYC Dept of City Planning, \"Community District Needs for the Borough of Manhattan, FY 2010.\""]
[null,null,null,null,"Metered Spaces","Potential Spaces","Acres","Metered Spaces / acre","Potential Spaces / acre",null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Manhattan District(s)",null,null,null,null,null,null,null,"Sources",null,null,null,null,{"$f":"ROW()","v":71},null,"Board","Acres","Sq Miles","Page ref.","% of Sum"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72},null,1,955.6,1.5,9,{"$f":"R72/$R$84","v":7.0350574966503238E-2}]
[null,"CBD",null,null,6904,28737,{"$f":"R104","v":5752.5999999999995},{"$f":"E73/$G73","v":1.2001529743072699},{"$f":"F73/$G73","v":4.9954803045579395},{"$f":"CONCATENATE(\"Spaces: NYCDCP 2002 study, cited in Shoup book, p. 552. Acres: Row \",O104,\".\")","v":"Spaces: NYCDCP 2002 study, cited in Shoup book, p. 552. Acres: Row 104."},null,null,null,null,{"$f":"ROW()","v":73},null,2,866.4,1.4,39,6.3783736030743401E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74},null,3,1077.0999999999999,1.7,57,7.9295316342005678E-2]
[null,"14th Street to 59th Street, river to river",null,null,2890,13590,{"$f":"R103","v":3025.5},{"$f":"E75/$G75","v":0.95521401421252683},{"$f":"F75/$G75","v":4.4918195339613289},{"$f":"CONCATENATE(\"Spaces: NYCDCP 2002 study, cited in Gary Roth, p. 46. Acres: Row \",O103,\".\")","v":"Spaces: NYCDCP 2002 study, cited in Gary Roth, p. 46. Acres: Row 103."},null,null,null,null,{"$f":"ROW()","v":75},null,4,1131.8,1.8,85,8.3322290442746291E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76},null,5,1005.3,1.6,121,7.4009452714342505E-2]
[null,"To 110th St on W Side + to 96th St on E Side",null,null,null,50084,{"$f":"R105","v":8242.2999999999993},null,{"$f":"F77/$G77","v":6.0764592407459093},{"$f":"CONCATENATE(\"Spaces: NYCDCP 2002 study, cited in Gary Roth, p. 47. Acres: Row \",O105,\".\")","v":"Spaces: NYCDCP 2002 study, cited in Gary Roth, p. 47. Acres: Row 105."},null,null,null,null,{"$f":"ROW()","v":77},null,6,888.4,1.4,143,6.5403359983509282E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78},null,7,1222.7,1.9,161,9.001428213849258E-2]
[null,"CBD to 14th Street",null,null,{"$f":"E73-E75","v":4014},{"$f":"F73-F75","v":15147},{"$f":"G73-G75","v":2727.0999999999995},{"$f":"E79/$G79","v":1.4718932199039276},{"$f":"F79/$G79","v":5.5542517692787223},{"$f":"CONCATENATE(\"Subtract Row \",O75, \" from Row \",O73, \".\")","v":"Subtract Row 75 from Row 73."},null,null,null,null,{"$f":"ROW()","v":79},null,8,1267,2,189,9.3275615825198402E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80},null,9,961.3,1.5,215,7.0770204808810758E-2]
[null,"59th To 110 St on W Side + to 96 St on E Side",null,null,null,{"$f":"F77-F73","v":21347},{"$f":"G77-G73","v":2489.6999999999998},null,{"$f":"F81/$G81","v":8.574125396634134},{"$f":"CONCATENATE(\"Subtract Row \",O73, \" from Row \",O77, \". Acreage matches sum of Rows \",O95, \" and \",O96,\".\")","v":"Subtract Row 73 from Row 77. Acreage matches sum of Rows 95 and 96."},null,null,null,null,{"$f":"ROW()","v":81},null,10,897,1.4,239,6.6036485710499582E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82},null,11,1520.2,2.4,265,0.11191601513612204]
[null,"59th To 96 St on W + E Sides",null,null,{"$f":"G83*H83","v":3170.5416915620349},{"$f":"G83*I83","v":18469.153652656791},{"$f":"37/51*R95+R96","v":2154.056862745098},{"$f":"H79","v":1.4718932199039276},{"$f":"I81","v":8.574125396634134},{"$f":"CONCATENATE(\"acreage: sum of Row \",O96, \" and prorated Row \",O95, \".\")","v":"acreage: sum of Row 96 and prorated Row 95."},null,null,null,null,{"$f":"ROW()","v":83},null,12,1790.6,2.8,297,0.13182266590102626]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"metered: apply per-sq mile figure from CBD to 14th Street (Row \",O79, \").\")","v":"metered: apply per-sq mile figure from CBD to 14th Street (Row 79)."},null,null,null,null,{"$f":"ROW()","v":84},null,"Sum 1-12",{"$f":"SUM(R72:R83)","v":13583.4},{"$f":"SUM(S72:S83)","v":21.4},null,1]
[null,"This color denotes data from 2002 DCP study.",null,null,"This color denotes data calc'd by prorating from like districts.",null,null,null,null,{"$f":"CONCATENATE(\"potential: apply per-sq mile figure from CB 7+8 data in Row \",O81, \".\")","v":"potential: apply per-sq mile figure from CB 7+8 data in Row 81."},null,null,null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86},null,"Calculated from figures directly above, except that Governors Island area has been netted from CB1."]
[null,"\"An agglomeration of Community Districts Four, Five and Six covers the area from 14th Street to 59th Street, ranging from the Hudson River to the East River. Within this area there are a total of 13,590 potential spaces. As of 2002, only 2,890 of these spaces were metered.\" (Gary Roth, An Investigation into Rational Pricing for Curbside Parking, p. 46, citing Rose, J. B. (2002). An Evaluation and Update of Off-Street Parking Regulations in Community Districts 1-8 in Manhattan. New York, New York City Department of City Planning.).",null,null,null,null,null,null,null,null,"Link for good schematic map of Manhattan districts:",null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,"<http://bit.ly/ak5fNU>  (downloaded 03-Sept-2010)",null,null,null,{"$f":"ROW()","v":88},null,"Board","Acres","Sq Miles",null,"% of Modified Sum"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89},null,1,{"$f":"R72-R106","v":783.6},{"$f":"R89/Constants!$J$17","v":1.224375},null,{"$f":"R89/$R$101","v":5.8427904618458926E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90},null,2,{"$f":"R73","v":866.4},{"$f":"R90/Constants!$J$17","v":1.35375},null,6.4601756714436978E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91},null,3,1077.0999999999999,{"$f":"R91/Constants!$J$17","v":1.6829687499999999},null,8.0312271649492215E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92},null,4,1131.8,{"$f":"R92/Constants!$J$17","v":1.7684374999999999},null,8.4390891331255505E-2]
[null,"\"[A]ll of Manhattan south of 96th Street on the East Side and south of 110th Street on the West Side [has] a total of 50,084 available spaces (Gary Roth, op. cit., p. 47, again citing Rose as referenced above).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93},null,5,1005.3,{"$f":"R93/Constants!$J$17","v":1.57078125},null,7.4958617295733485E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94},null,6,888.4,{"$f":"R94/Constants!$J$17","v":1.3881250000000001},null,6.6242152198875581E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95},null,7,1222.7,{"$f":"R95/Constants!$J$17","v":1.9104687500000002},null,9.1168707219231412E-2]
[null,"\"[I]nitial results from the [NYCDOT] Commercial Parking Project may shed some insight. These rates are … fixed at $2 for one hour, $5 for two hours and $9 for three hours during business hours… [T]here were no meters prior to the start of the project, meaning parking revenue was zero. For the nine month period from October 2000 to June 2001, the area bounded by 42nd Street to the south, 5th Avenue to the East, Broadway to the west and 57th Street to the north, [the amount] raised was $1,838,712. During the year long period of July 2001 to June 2002, $2,851,734 was raised. [sourced to NYC Department of Transportation-b (2004). Dates and Revenue. G. Roth. New York.] As this revenue figure is based on approximately 960 parking spaces (32 blocks times 30 spaces per block – parking is permitted on only one side of the street), it is estimated that each space produced approximately $2,550 during the 1st year or $10.75/space and $2,970 per space during the 2nd year or $12.50/space... [T]he $12.50/space per day revenue figure was when rates were $1/$3/$6, [but] as they have since [been] raised [to] $2/$5/$9, the revenue figures should rise significantly.\" (Gary Roth, op. cit., pp. 51-52)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96},null,8,1267,{"$f":"R96/Constants!$J$17","v":1.9796875},null,9.4471867217441885E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97},null,9,961.3,{"$f":"R97/Constants!$J$17","v":1.5020312499999999},null,7.167782632685625E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98},null,10,897,{"$f":"R98/Constants!$J$17","v":1.4015625},null,6.6883397706428857E-2]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99},null,11,1520.2,{"$f":"R99/Constants!$J$17","v":2.3753125000000002},null,0.11335132797470809]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100},null,12,1790.6,{"$f":"R100/Constants!$J$17","v":2.7978125},null,0.13351327974708083]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101},null,"Sum 1-12",{"$f":"SUM(R89:R100)","v":13411.4},{"$f":"SUM(S89:S100)","v":20.955312500000002},null,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102},null,"Sum 1-3",{"$f":"SUM(R89:R91)","v":2727.1},{"$f":"SUM(S89:S91)","v":4.2610937499999997},null,0.20334193298238812]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103},null,"Sum 4-6",{"$f":"SUM(R92:R94)","v":3025.5},{"$f":"SUM(S92:S94)","v":4.7273437499999993},null,0.22559166082586457]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104},null,"Sum 1-6",{"$f":"SUM(R89:R94)","v":5752.5999999999995},{"$f":"SUM(S89:S94)","v":8.9884374999999999},null,0.42893359380825263]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105},null,"Sum 1-8",{"$f":"SUM(R89:R96)","v":8242.2999999999993},{"$f":"SUM(S89:S96)","v":12.87859375},null,0.61457416824492594]
[null,"B. Estimate revenues per space ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106},null,"Gov. Is.:",172]
[null,null,null,"CBD","59-96 Sts.","CBD","59-96 Sts.","Park Smart","59-96 St. rate vs. Park Smart",null,null,null,null,null,{"$f":"ROW()","v":107},null,"http://en.wikipedia.org/wiki/Governors_Island"]
[null,"Assumptions",null,"Aggregate rates",null,"Per-hour rates",null,"per-hour rates",null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Rate for 1-hour parking",null,2,{"$f":"$E$113*D109","v":1.5},{"$f":"D109/1","v":2},{"$f":"E109/1","v":1.5},{"$f":"5*(0.5*3+0.75*4+0.5*3)/10","v":3},{"$f":"G109/H109","v":0.5},"Park Smart rates are shown only for comparison to rates assumed for CBD + 59-96 St. parking.",null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Rate for 2-hour parking",null,5,{"$f":"$E$113*D110","v":3.75},{"$f":"D110/2","v":2.5},{"$f":"E110/2","v":1.875},{"$f":"5*(0.5*3+0.75*4+0.5*3)/10","v":3},{"$f":"G110/H110","v":0.625},null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Rate for 3-hour parking",null,9,{"$f":"$E$113*D111","v":6.75},{"$f":"D111/3","v":3},{"$f":"E111/3","v":2.25},{"$f":"5*(0.5*3+0.75*4+0.5*3)/10","v":3},{"$f":"G111/H111","v":0.75},null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"CBD rates are current (2010) muni-meter rates in CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"59-96 St. rate, % of CBD (Komanoff assumption)",null,null,0.75,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Average per-hour rate ",null,null,null,{"$f":"AVERAGE(F109:F111)","v":2.5},{"$f":"AVERAGE(G109:G111)","v":1.875},{"$f":"AVERAGE(H109:H111)","v":3},null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Per-hour averages are unweighted mean of per-hour rates for different parking durations.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Note: Park Smart is a pilot program inaugurated Aug 2010 on Upper East Side, where Muni-Meters are currently installed, on E 86 St from Madison to 1st Ave, and Madison Ave from 79 St to 86 St. Rates: 9am - 12pm: 50¢ for 12 mins; 12pm - 4pm: 75¢ for 12 mins.; 4pm - 7pm: 50¢ for 12 mins. Rate shown above is weighted average of these rates.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Hours per day rates are in effect",null,null,null,null,null,null,14,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Komanoff assumption, predicated on 7 a.m. - 9 p.m.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Days per week rates are in effect",null,null,null,null,null,null,7,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Komanoff assumption, predicated on intrinsic value of curbside space and value of consistency in regulations and rates.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Attrition rate from adverse weather, special events and other contingencies (Komanoff)",null,null,null,null,null,null,0.05,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Hours per year rates are in effect",null,null,null,null,null,null,{"$f":"I119*Constants!J7*I121/7*(1-I123)","v":4854.5},null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O119, \" times Row \",O121, \" divided by 7, times days in year, times complement of Row \",O123, \".\")","v":"Product of Row 119 times Row 121 divided by 7, times days in year, times complement of Row 123."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Target occupancy rate (standard figure assumed to optimize both use and turnover of curbside space)",null,null,null,null,null,null,0.85,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Shortfall in target occupancy rate assumed for revenue est. (Komanoff assumption; is in percentage pts, not %)",null,null,null,null,null,null,0.1,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,{"$f":"CONCATENATE(\"Occupancy rate assumed for revenue estimation (Row \",O126,\" less Row \",O127,\").\")","v":"Occupancy rate assumed for revenue estimation (Row 126 less Row 127)."},null,null,null,null,null,null,{"$f":"I126-I127","v":0.75},null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"C. Estimate potential annual revenues",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,"CBD","59-96 Sts.","Total to 96 St.",null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Estimated annual revenue per parking space",null,null,null,null,{"$f":"$I$124*$I$128*F114","v":9102.1875},{"$f":"$I$124*$I$128*G114","v":6826.640625},null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O124, \" and \",O128, \" times Row \",O114, \" (Column F).\")","v":"Product of Rows 124 and 128 times Row 114 (Column F)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Estimated annual revenue, total ($ millions)",null,null,null,null,{"$f":"ROUND(G132*F73,-6)","v":262000000},{"$f":"ROUND(H132*F83,-6)","v":126000000},{"$f":"G134+H134","v":388000000},null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O132, \" times either Row \",O83, \" or \",O73, \".\")","v":"Product of Row 132 times either Row 83 or 73."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,{"$f":"CONCATENATE(\"D. Estimate current annual revenues (to be netted from Row \",O134, \" figure to yield potential revenue increase).\")","v":"D. Estimate current annual revenues (to be netted from Row 134 figure to yield potential revenue increase)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,"CBD","59-96 Sts.","Total to 96 St.","NYC",null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,{"$f":"CONCATENATE(\"Number of metered spaces (from Rows \",O73, \" and \",O83, \", Col. E)\")","v":"Number of metered spaces (from Rows 73 and 83, Col. E)"},null,null,null,{"$f":"E73","v":6904},{"$f":"E83","v":3170.5416915620349},{"$f":"F140+G140","v":10074.541691562035},null,null,"NYC Budget figures for \"parking meter revenues\": \"Modified FY09 as of 06/19/09,\" $127,136,000; \"Adopted Budget for FY 2010,\" $147,332,000. Source: NYC Adopted Budget - FY10, Agency Revenue Summary, 841 Dept of Transportation,\" <http://www.nyc.gov/html/omb/downloads/pdf/ss6_09.pdf>, p. 110R (3925 of 3960).",null,null,null,{"$f":"ROW()","v":140}]
[null,{"$f":"CONCATENATE(\"From Rows \",O73, \" and \",O83, \".\")","v":"From Rows 73 and 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Estimated number of parking meters in NYC",null,null,null,null,null,null,67000,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"NYT editorial, 11 March 1996, <http://www.nytimes.com/1996/03/11/opinion/don-t-bet-on-parking-meters.html>",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,"Estimated parking meter revenue, FY 2010",null,null,null,null,null,null,147332000,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Projected in NYC Budget. See text box at right.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Assumed share of NYC meter revenue acct'd for by CBD",null,null,null,{"$f":"1/2","v":0.5},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Estimated NYC meter revenue collected in CBD (rounded)",null,null,null,{"$f":"ROUND(F146*I144,-5)","v":73700000},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,{"$f":"CONCATENATE(\"Row \",O146, \" x Row \",O144, \".\")","v":"Row 146 x Row 144."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Est'd NYC meter revenue collected in 59-96 Streets (rounded)",null,null,null,{"$f":"ROUND(F148*E113*G140/F140,-5)","v":25400000},null,null,null,null,"In each of the first two weeks after the killings of those officers [on Dec. 20] — Rafael Ramos and Wenjian Liu — the number of parking tickets issued was down over 90 percent from the same period the year before. Last week, the number of parking tickets rose to 5,550 from just 1,191 the week before, but that total was still only about a quarter of the total a year ago. The cost to the city from lost parking fines from those three weeks was about $3 million, based on information provided by the city comptroller’s office. The office said the city took in $69.13 per parking ticket, on average. Over the last three weeks, the police issued about 44,000 fewer parking tickets than in the same three weeks last winter, according to police statistics. \n\n\"Police Slowdown Cost New York City an Estimated $5 Million in Lost Fines,\" by Patrick McGeehan, Jan. 14, 2015. http://www.nytimes.com/2015/01/15/nyregion/police-slowdown-cost-new-york-city-an-estimated-5-million-in-lost-fines.html",null,null,null,{"$f":"ROW()","v":150}]
[null,{"$f":"CONCATENATE(\"Product of Row \",377, \", Row \",O148, \" and ratio of non-CBD to CBD revenues in Row \",O140, \".\")","v":"Product of Row 377, Row 148 and ratio of non-CBD to CBD revenues in Row 140."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Reality check: ratio of per-meter revenues for (i) NYC except CBD and 59-96, to(ii) 59-96 Streets:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,"CBD","59-96 Sts.","Rest of NYC",null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Revenue",null,"Per-meter revenues for rest of NYC are order of magnitude less than in CBD or district north of CBD.",null,{"$f":"F148","v":73700000},{"$f":"F150","v":25400000},{"$f":"I144-F154-G154","v":48232000},null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Meters",null,null,null,{"$f":"F140","v":6904},{"$f":"G140","v":3170.5416915620349},{"$f":"I142-H140","v":56925.458308437963},null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Revenue per Meter",null,null,null,{"$f":"F154/F155","v":10674.971031286212},{"$f":"G154/G155","v":8011.24932928611},{"$f":"H154/H155","v":847.28347268924233},null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"E. Revenue Summary for Curbside Parking in CBD and 59-96 Streets",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,"CBD","59-96 Sts.","Total to 96 St.",null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"Potential annual revenue",null,null,null,{"$f":"G134","v":262000000},{"$f":"H134","v":126000000},{"$f":"F160+G160","v":388000000},null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Estimated current annual revenue",null,null,null,{"$f":"F154","v":73700000},{"$f":"G154","v":25400000},{"$f":"F161+G161","v":99100000},null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,"Potential revenue increase",null,null,null,{"$f":"F160-F161","v":188300000},{"$f":"G160-G161","v":100600000},{"$f":"H160-H161","v":288900000},null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,"3. Estimate congestion-causing impact of bills intended to increase provision of free parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"A. Background",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,"In November 2009, the New York City Council passed, with overwhelming majorities, several bills intended to increase provision of free parking in the city. The most prominent bill would require traffic agents to adhere to a five-minute \"grace period\" before ticketing a vehicle whose time-controlled parking at a muni meter or sign-regulated curb space has expired. Another bill would expand free parking privileges for clergy.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,"Because the rules have not been fully specified, and because the consequences depend on behavioral responses by drivers and traffic agents, the likely change in the number of tickets issued cannot be precisely predicted. The analysis here relies on a number of assumptions, some of them rough, and should be considered suggestive, not definitive.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":179}]
[null,"B. How the analysis is performed",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"The Council bills would reduce the actual and perceived cost to drive into the Manhattan Central Business District (CBD), and in NYC generally, by reducing the likelihood of receiving a parking ticket. We specify the estimated reduction in annual terms and convert this to a per-trip basis, making it equivalent to a small negative congestion (cordon) toll. We then input this \"toll\" into the Motor Vs worksheet to calculate the expected increase in the number of auto and truck trips into the CBD, and the corresponding decreases in traffic speeds. With this, we can calculate the anticipated increased hours that drivers will spend in traffic.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"The above analysis applies to reduced ticketing within the CBD. We then extrapolate to reduced ticketing in the rest of NYC, taking care to reflect differences in traffic patterns and impacts between CBD and the rest of the city.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"C. General conditions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Recent-year gross revenue from parking tickets, citywide",null,null,null,null,null,null,500,"million",null,null,null,null,{"$f":"ROW()","v":192}]
[null,"NYC Adopted Budget FY 2008, http://www.nyc.gov/html/omb/pdf/fp6_07.pdf. Budget lines include Parking Violations Bureau, City Meter Parking Service, and OTPS",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,"Estimated percent of gross revenue to be eliminated by the new bills",null,null,null,null,null,null,0.1,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Komanoff estimate. Is intended to reflect the effective shrinkage of time deemed illegal, the increased complexity of ticketing rules, and the general discouragement of diligent enforcement. Is also intended to reflect reduced muni-meter revenues due to the extension in the permitted time.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,"Estimated loss of gross revenue due to the new bills",null,null,null,null,null,null,{"$f":"I195*I192","v":50},"million",null,null,null,null,{"$f":"ROW()","v":198}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",O195, \" and dollar figure in Row \",O192, \".\")","v":"Product of % in Row 195 and dollar figure in Row 192."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,"Estimated \"intensity\" (per day) ticketing on weekends/holidays vs. weekdays",null,null,null,null,null,null,0.25,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Komanoff estimate, intended to encompass near-zero rate for weekends/holidays as well as lower for Saturdays",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,"Percentage of annual parking ticket revenues collected on weekdays",null,null,null,null,null,null,{"$f":"weekday_per_yr/(weekday_per_yr+wkend_per_yr*Parking!I200)","v":0.89686098654708524},null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,{"$f":"CONCATENATE(\"Algebra on 'intensity' in Row \",O200, \" and number of weekdays (vs. wknds/holidays) in year, shown in 'Constants' worksheet.\")","v":"Algebra on 'intensity' in Row 200 and number of weekdays (vs. wknds/holidays) in year, shown in 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"D. Analysis of reduced parking ticketing within Manhattan Central Business District (CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"Part 1: Estimate effective \"reduced cordon toll\" (to drive into the CBD) from free-parking bills",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,"Number of metered curb spaces in CBD",null,null,null,null,null,null,6900,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,"Schaller. Page number TK.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,"Number of metered curb spaces in NYC",null,null,null,null,null,null,47000,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Guide to Street Parking in New York City. See this page: http://www.nytix.com/Parking/articles/streetparkingtips.html.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"CBD share of metered curb spaces",null,null,null,null,null,null,{"$f":"I208/I210","v":0.14680851063829786},null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"Note that above % is calculated by drawing on two separate sources, whose definitions may or may not be fully consistent.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Assumed percent of parking ticket elimination to be experienced within the CBD",null,null,null,null,null,null,{"$f":"ROUND(I212,2)","v":0.15},null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,"Rounded from prior figure",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,"Estimated loss of gross revenue due to the new bills' application to parking within the CBD",null,null,null,null,null,null,{"$f":"I214*I198","v":7.5},"million",null,null,null,null,{"$f":"ROW()","v":216}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",O214, \" and dollar figure in Row \",O198, \".\")","v":"Product of % in Row 214 and dollar figure in Row 198."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,"Gross revenue loss in CBD parking revenue on weekdays",null,null,null,null,null,null,{"$f":"I202*I216","v":6.7264573991031389},"million",null,null,null,null,{"$f":"ROW()","v":218}]
[null,{"$f":"CONCATENATE(\"Product of % in Row \",O216, \" and dollar figure in Row \",O202, \".\")","v":"Product of % in Row 216 and dollar figure in Row 202."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Number of car and truck (but not taxi or bus) trips into CBD on typical weekday",null,null,null,null,null,null,{"$f":"'Motor Vs'!H85-'Motor Vs'!L85-'Motor Vs'!N85","v":525600},null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,{"$f":"CONCATENATE(\"From figures in Row \",'Motor Vs'!O82, \" of 'Motor Vs' worksheet.\")","v":"From figures in Row 82 of 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,"Number of weekday car and truck (but not taxi or bus) trips into CBD, per year",null,null,null,null,null,null,{"$f":"I220*weekday_per_yr","v":131400000},null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Product of Figure in Row \",O220, \" and number of weekdays in year from 'Constants' worksheet.\")","v":"Product of Figure in Row 220 and number of weekdays in year from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Gross revenue loss in CBD parking revenue on weekdays, per car/truck trip into CBD",null,null,null,null,null,null,{"$f":"I218*1000000/I222","v":5.1190695579171525E-2},null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,{"$f":"CONCATENATE(\"Ratio of annual weekdays gross revenue loss in Row \",O218, \" and annual 'eligible' weekday trips in year in Row \",O222, \".\")","v":"Ratio of annual weekdays gross revenue loss in Row 218 and annual 'eligible' weekday trips in year in Row 222."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,{"$f":"CONCATENATE(\"Part 2: Input 'reduced toll' from Row \",O224,\" into traffic model to estimate weekday congestion impacts within CBD\")","v":"Part 2: Input 'reduced toll' from Row 224 into traffic model to estimate weekday congestion impacts within CBD"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,"Baseline total Vehicle Hours in Traffic within CBD (per weekday)",null,null,null,null,null,null,{"$f":"'Motor Vs'!N207","v":406794.9906570781},null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,{"$f":"CONCATENATE(\"Taken directly from Row \",'Motor Vs'!O207, \" in 'Motor Vs' worksheet.\")","v":"Taken directly from Row 207 in 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Estimated increase in weekday trips due to effective reduction in cost to drive into CBD",null,null,null,null,null,null,{"$f":"ROUND(733.360114948591,0)","v":733},null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,{"$f":"CONCATENATE(\"Calculated in Row \",'Motor Vs'!O983, \" of 'Motor Vs' worksheet, after inputting per-trip revenue loss from Row \",O224, \" above, as a uniform negative weekday toll under Scenario 4. Figure had to be 'hard-wired' so as to remain unchanged when BTA is run w/ other scenarios. 'Toll' inputting is performed in Column J of 'Policy Levers' worksheet.\")","v":"Calculated in Row 983 of 'Motor Vs' worksheet, after inputting per-trip revenue loss from Row 224 above, as a uniform negative weekday toll under Scenario 4. Figure had to be 'hard-wired' so as to remain unchanged when BTA is run w/ other scenarios. 'Toll' inputting is performed in Column J of 'Policy Levers' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"Vehicle Hours in Traffic in CBD (wkday), w/ reduced parking cost inputted as negative toll",null,null,null,null,null,null,421414,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,{"$f":"CONCATENATE(\"Calculated in Row \",'Motor Vs'!O1056, \" of 'Motor Vs' worksheet, after same inputting described in previous note, and 'hard-wiring' similarly.\")","v":"Calculated in Row 1056 of 'Motor Vs' worksheet, after same inputting described in previous note, and 'hard-wiring' similarly."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,"Vehicle Hours w/ reduced parking cost, above, normalized to reflect increase in trips",null,null,null,null,null,null,{"$f":"I235*('Motor Vs'!N139/('Motor Vs'!N139+I230))","v":420911.02025131363},null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,{"$f":"CONCATENATE(\"Prorates Row \",O235, \" figure by ratio of increase in trips (from Row \",O230, \") upon base in Row \",'Motor Vs'!O139, \" of 'Motor Vs' worksheet. This downward adjustment is required to reflect fact that some of the increased hours are expended in the new trips themselves. Omitting it would spuriously increase hours lost.\")","v":"Prorates Row 235 figure by ratio of increase in trips (from Row 230) upon base in Row 139 of 'Motor Vs' worksheet. This downward adjustment is required to reflect fact that some of the increased hours are expended in the new trips themselves. Omitting it would spuriously increase hours lost."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"Daily increase in hours in CBD traffic per weekday (adjusted to remove hrs in the new trips)",null,null,null,null,null,null,{"$f":"I238-I228","v":14116.02959423553},null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O238, \" and \",O228,\".\")","v":"Difference between Rows 238 and 228."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Annual increase in hours in CBD traffic on weekdays (adjusted to remove hrs in the new trips)",null,null,null,null,null,null,{"$f":"I242*weekday_per_yr","v":3529007.3985588825},null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,{"$f":"CONCATENATE(\"Product of Figure in Row \",O242, \" and number of weekdays in year from 'Constants' worksheet.\")","v":"Product of Figure in Row 242 and number of weekdays in year from 'Constants' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Part 3: Calculate weekend/holiday congestion impacts within CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,"We prorate weekend impacts from weekday impacts in Part 2. This obviates the need for a similarly complex calculation and is commensurate with both the approximate nature of the exercise and the relatively small impacts on weekends (due to lesser weekend traffic, lesser weekend ticketing, and fewer weekend days).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Percentage of parking ticket revenue collected on weekdays",null,null,null,null,null,null,{"$f":"1-I202","v":0.10313901345291476},null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,{"$f":"CONCATENATE(\"Complement of Row \",O202, \" figure.\")","v":"Complement of Row 202 figure."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Ratio of weekend to weekday delay impacts from one additional trip into CBD",null,null,null,null,null,null,{"$f":"#REF!/#REF!","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,{"$f":"CONCATENATE(\"Ratio of respective Row \",#REF!, \" figures from 'Delays Weekends' and 'Delays Weekends' worksheeet.\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,"Ratio, proposed laws' additional annual congestion hours on weekends/holidays vs. weekdays",null,null,null,null,null,null,{"$f":"I253*I251","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O251, \" and \",O253,\".\")","v":"Product of Rows 251 and 253."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,{"$f":"CONCATENATE(\"Estimated annual incrs in hours in CBD traffic on weekends (adjusted as noted in Row \",O244, \")\")","v":"Estimated annual incrs in hours in CBD traffic on weekends (adjusted as noted in Row 244)"},null,null,null,null,null,null,{"$f":"I255*I244","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O244, \" and \",O255,\".\")","v":"Product of Rows 244 and 255."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Annual impacts within CBD (all 365 days) from reduced CBD ticketing",null,null,null,null,null,null,{"$f":"ROUND(I244+I257,-2)","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O244, \" and \",O257,\".\")","v":"Sum of Rows 244 and 257."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"Part 4: Calculate congestion impacts outside CBD (from reduced CBD ticketing)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"We prorate these impacts from the combined weekday/weekend impacts directly above. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Ratio of out-CBD to in-CBD delay hours from one additional trip into CBD",null,null,null,null,null,null,{"$f":"I286","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,{"$f":"CONCATENATE(\"Calculated and shown in Row \",O286, \" below. Applies to weekdays, but since weekend figure is greater, our use of weekday figure here for all days is conservative.\")","v":"Calculated and shown in Row 286 below. Applies to weekdays, but since weekend figure is greater, our use of weekday figure here for all days is conservative."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"Estimated annual increase in hours in non-CBD traffic due to reduced CBD ticketing",null,null,null,null,null,null,{"$f":"ROUND(I264*I259,-2)","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O264, \" and \",O259,\".\")","v":"Product of Rows 264 and 259."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Annual impacts within and outside CBD (all 365 days) from reduced CBD ticketing",null,null,null,null,null,null,{"$f":"ROUND(I267+I259,-2)","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O259, \" and \",O267,\".\")","v":"Sum of Rows 259 and 267."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"E. Analysis of reduced parking ticketing outside Manhattan Central Business District (CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,{"$f":"CONCATENATE(\"This calculation is performed by prorating the result in Row \",O269, \" by the three relevant differences between the CBD and the rest of the City:\")","v":"This calculation is performed by prorating the result in Row 269 by the three relevant differences between the CBD and the rest of the City:"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"1. Presumed shorter trips outside the CBD (so lesser VMT impact per trip eliminated)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"2. Lesser congestion causation per mile driven outside the CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,"3. Greater volume of ticketing outside the CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"Part 1: Specify ratio of trip length outside to inside CBD ",null,null,null,null,null,null,{"$f":"1/3","v":0.33333333333333331},null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"Komanoff assumption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":280}]
[null,"Part 2: Estimate ratio of congestion causation per mile driven (outside vs. inside CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"Delay minutes caused outside CBD per trip into CBD",null,null,null,null,null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":282}]
[null,{"$f":"CONCATENATE(\"From delay impact in Row \",#REF!, \" of 'Delays' worksheet.\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,"Delay minutes caused inside CBD per trip into CBD",null,null,null,null,null,null,{"$f":"#REF!","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":284}]
[null,{"$f":"CONCATENATE(\"From delay impact in Row \",#REF!, \" of 'Delays' worksheet.\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"Ratio of per-trip delay minutes, outside to inside CBD",null,null,null,null,null,null,{"$f":"I282/I284","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":286}]
[null,{"$f":"CONCATENATE(\"Ratio of respective delay hours in Rows \",O282, \" and \",O284, \".\")","v":"Ratio of respective delay hours in Rows 282 and 284."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":287}]
[null,"Ratio of miles driven, outside to inside CBD, for typical work or non-work trip into CBD",null,null,null,null,null,null,{"$f":"'Motor Vs'!I99/'Motor Vs'!I93","v":7.4153569440705891E-2},null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,{"$f":"CONCATENATE(\"Ratio of respective mileages in Rows \",'Motor Vs'!O99, \" and \",'Motor Vs'!O93, \" of Motor Vs worksheet, for work trips (is same for non-work).\")","v":"Ratio of respective mileages in Rows 99 and 93 of Motor Vs worksheet, for work trips (is same for non-work)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Ratio of per-mile delay causation, outside to inside CBD",null,null,null,null,null,null,{"$f":"I288*I286","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":290}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O286, \" and \",O288, \".\")","v":"Product of Rows 286 and 288."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Part 3: Calculate ratio of parking ticket elimination outside vs. inside CBD",null,null,null,null,null,null,{"$f":"(1-I214)/I214","v":5.666666666666667},null,null,null,null,null,{"$f":"ROW()","v":292}]
[null,{"$f":"CONCATENATE(\"Algebra on percentage in Row \",O214, \".\")","v":"Algebra on percentage in Row 214."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Ratio of congestion impacts from reduced ticketing outside CBD to reduced ticketing inside",null,null,null,null,null,null,{"$f":"I279*I290*I292","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":294}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O279, \", \",O290, \" and \",O292, \".\")","v":"Product of Rows 279, 290 and 292."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,"Annual impacts within and outside CBD from reduced non-CBD ticketing",null,null,null,null,null,null,{"$f":"ROUND(I294*I269,-2)","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":296}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":297}]
[null,"Total annual impacts from reduced non-CBD ticketing",null,null,null,null,null,null,{"$f":"I269+I296","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O269, \" and \",O296,\".\")","v":"Sum of Rows 269 and 296."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"Percent of hours lost within CBD",null,null,null,null,null,null,{"$f":"I259/I298","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":301}]
[null,{"$f":"CONCATENATE(\"Ratio of Rows \",O259, \" and \",O298,\".\")","v":"Ratio of Rows 259 and 298."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"Helpful Gotham Gazette summary of bills: <http://www.gothamgazette.com/article/Searchlight%20on%20City%20Hall/20091117/203/3106>.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":303}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,"4. Estimate impact on CBD-bound trips from free CBD parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":307}]
[null,"The NY Times reported <http://dealbook.blogs.nytimes.com/2009/12/02/in-denmark-ambitious-plan-for-electric-cars/> in December 2009 that Denmark's national government was providing free parking in downtown Copenhagen for electric vehicles in order to stimulate EV sales. Here, we estimate the extent to which free CBD parking would stimulate motor vehicle trips into the CBD.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":308}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":311}]
[null,"The baseline values (prices) to drive into the CBD in the Motor Vs worksheet already contain estimated parking costs. These are calculated and shown for the six different trip types and the seven different entry periods, and are copied below for the two trip types that might receive EV exemptions: work trips, and non-work trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":314}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Work Trips -- baseline parking costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":316}]
[null,{"$f":"'Motor Vs'!P243","v":"Graveyard"},{"$f":"'Motor Vs'!Q243","v":"A.M. Pre-peak"},{"$f":"'Motor Vs'!R243","v":"A.M. Peak"},{"$f":"'Motor Vs'!S243","v":"A.M. Post-peak"},{"$f":"'Motor Vs'!T243","v":"Midday Peak"},{"$f":"'Motor Vs'!U243","v":"P.M. Peak"},{"$f":"'Motor Vs'!V243","v":"P.M. Post-peak"},null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,{"$f":"'Motor Vs'!P244","v":"11 p.m. - 5 a.m."},{"$f":"'Motor Vs'!Q244","v":"5 a.m. - 6 a.m."},{"$f":"'Motor Vs'!R244","v":"6 a.m. - 9 a.m."},{"$f":"'Motor Vs'!S244","v":"9 a.m. - 10 a.m."},{"$f":"'Motor Vs'!T244","v":"10 a.m. - 2 p.m."},{"$f":"'Motor Vs'!U244","v":"2 p.m. - 8 p.m. "},{"$f":"'Motor Vs'!V244","v":"8 p.m. - 11 p.m."},null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,{"$f":"'Motor Vs'!P272","v":1.3574999999999999},{"$f":"'Motor Vs'!Q272","v":3.7975000000000003},{"$f":"'Motor Vs'!R272","v":19.349999999999998},{"$f":"'Motor Vs'!S272","v":19.36},{"$f":"'Motor Vs'!T272","v":19.32},{"$f":"'Motor Vs'!U272","v":10.967499999999999},{"$f":"'Motor Vs'!V272","v":5.8224999999999998},null,null,null,null,null,null,{"$f":"ROW()","v":319}]
[null,{"$f":"CONCATENATE(\"Above Rows were copied from 'Motor Vs' worksheet, including Row \",'Motor Vs'!O272, \" for dollar cost.\")","v":"Above Rows were copied from 'Motor Vs' worksheet, including Row 272 for dollar cost."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Non-Work Trips -- baseline parking costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":322}]
[null,{"$f":"B317","v":"Graveyard"},"A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak",null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,{"$f":"B318","v":"11 p.m. - 5 a.m."},{"$f":"C318","v":"5 a.m. - 6 a.m."},"6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,null,null,null,null,null,{"$f":"ROW()","v":324}]
[null,{"$f":"'Motor Vs'!Y272","v":2.23},{"$f":"'Motor Vs'!Z272","v":7.057500000000001},{"$f":"'Motor Vs'!AA272","v":20.27},{"$f":"'Motor Vs'!AB272","v":20.36},{"$f":"'Motor Vs'!AC272","v":20.3},{"$f":"'Motor Vs'!AD272","v":11.9375},{"$f":"'Motor Vs'!AE272","v":6.3324999999999996},null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,"Toll \"Bin\" for each period (pertains to bins in Weekday Hours worksheet, col. H)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,1,2,5,4,3,4,2,null,null,null,null,null,null,{"$f":"ROW()","v":328}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":329}]
[null,"Average (weighted) parking cost for each period (calc'd manually by weighting # of CBD entries)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":330}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":331}]
[null,"Baseline Parking Costs by Toll Bin",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":332}]
[null,null,1,2,3,4,5,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,"Work Trips",{"$f":"B319","v":1.3574999999999999},{"$f":"(C319*'Motor Vs'!Q139+H319*'Motor Vs'!V139)/('Motor Vs'!Q139+'Motor Vs'!V139)","v":4.8611295896674394},{"$f":"F319","v":19.32},{"$f":"(E319*'Motor Vs'!S139+G319*'Motor Vs'!U139)/('Motor Vs'!S139+'Motor Vs'!U139)","v":13.029767095780212},{"$f":"D319","v":19.349999999999998},"Note: Non-work trips tend to have (slightly) higher parking costs because of fewer free-parking perks.",null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Non-wk Trips",{"$f":"B325","v":2.23},{"$f":"(C325*'Motor Vs'!Q139+H325*'Motor Vs'!V139)/('Motor Vs'!Q139+'Motor Vs'!V139)","v":6.6766943444400519},{"$f":"F325","v":20.3},{"$f":"(E325*'Motor Vs'!S139+G325*'Motor Vs'!U139)/('Motor Vs'!S139+'Motor Vs'!U139)","v":14.007138917391583},{"$f":"D325","v":20.27},null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,"Wghtd Avg",{"$f":"(C334*'Motor Vs'!P139+C335*'Motor Vs'!Y139)/('Motor Vs'!P139+'Motor Vs'!Y139)","v":1.9530991496561909},{"$f":"(D334*('Motor Vs'!Q139+'Motor Vs'!V139)+D335*('Motor Vs'!Z139+'Motor Vs'!AE139))/(('Motor Vs'!Q139+'Motor Vs'!V139)+('Motor Vs'!Z139+'Motor Vs'!AE139))","v":5.6886594130354755},{"$f":"(E334*'Motor Vs'!R139+E335*'Motor Vs'!AA139)/('Motor Vs'!R139+'Motor Vs'!AA139)","v":19.466880398794185},{"$f":"(F334*('Motor Vs'!S139+'Motor Vs'!U139)+F335*('Motor Vs'!AA139+'Motor Vs'!AC139))/(('Motor Vs'!S139+'Motor Vs'!U139)+('Motor Vs'!AA139+'Motor Vs'!AC139))","v":13.403585575636368},{"$f":"(G334*'Motor Vs'!T139+G335*'Motor Vs'!AC139)/('Motor Vs'!T139+'Motor Vs'!AC139)","v":19.70597005442238},null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":337}]
[null,"Enter These Parking Costs by Toll Bin into the Proposed Toll Rates (in 'Policy Levers' worksheet)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":338}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":339}]
[null,"We manually entered negative values of the last row (weighted averages) into the \"Baseline\" column of Policy Levers, to test the extent to which free parking (i.e., eliminating current parking costs) would stimulate additional trips into the CBD. Unfortunately, the \"time-switching\" subroutine in Motor Vs cannot handle non-uniform negative tolls. As an alternative, we entered the values as shown, i.e., as positive values. The model predicted a roughly 20% drop in motor vehicle entries. The reciprocal of that result, a 25% increase (i.e., 1.25) should serve as a rough estimate of the trip-stimulating impact of free parking.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":340}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":341}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":346}]
[null,"5. Estimate congestion costs from double-parking within the Manhattan CBD.",null,null,null,null,null,null,{"$f":"CONCATENATE(\"Go to Row \",O385, \" for results and to Row \",O391, \" for graph.\")","v":"Go to Row 385 for results and to Row 391 for graph."},null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Will be calculated for each of the seven periods (weekdays only).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":349}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]
[null,null,null,null,null,null,{"$f":"B317","v":"Graveyard"},"A.M. Pre-peak","A.M. Peak","A.M. Post-peak","Midday Peak","P.M. Peak","P.M. Post-peak",null,{"$f":"ROW()","v":351}]
[null,null,null,null,null,null,"11 p.m. - 5 a.m.","5 a.m. - 6 a.m.","6 a.m. - 9 a.m.","9 a.m. - 10 a.m.","10 a.m. - 2 p.m.","2 p.m. - 8 p.m. ","8 p.m. - 11 p.m.",null,{"$f":"ROW()","v":352}]
[null,"Baseline Speeds in CBD",null,null,null,null,{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,{"$f":"ROW()","v":353}]
[null,{"$f":"CONCATENATE(\"From Motor Vs worksheet, Row \",'Motor Vs'!O201, \".\")","v":"From Motor Vs worksheet, Row 201."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":354}]
[null,"Number of vehicles assumed to double-park:",null,null,null,100,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":355}]
[null,"A large number makes for easier calculation. Later, we will divide by this number to obtain the per-vehicle impact.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":356}]
[null,"Lane-blocks removed from service by one double-parked truck:",null,null,null,{"$f":"1/2","v":0.5},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":357}]
[null,{"$f":"CONCATENATE(\"See discussion in 'FreshDirect' worksheet, Row \",FreshDirect!P124, \". By 'truck,' we refer to a 9-ton gross weight vehicle, approx'ly 24 feet long.\")","v":"See discussion in 'FreshDirect' worksheet, Row 124. By 'truck,' we refer to a 9-ton gross weight vehicle, approx'ly 24 feet long."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":358}]
[null,"Relative impact (to truck) of one double-parked auto:",null,null,null,{"$f":"2/3","v":0.66666666666666663},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":359}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":360}]
[null,"Street space appropriated by one double-parked auto (acres):",null,null,null,{"$f":"(Cordon!J298)/(20*3)","v":2.338052338052338E-2},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":361}]
[null,"Acres per lane-mile (from Cordon worksheet), divided by 20 (blocks/mile), and multiplied by 1/3 (two-thirds of the one-half block impact assumed for a double-parked truck; see FreshDirect worksheet).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":362}]
[null,"Space appropr'd by # double-parked autos assumed (acres):",null,null,null,{"$f":"F355*F361","v":2.3380523380523379},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":363}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O355, \" and \",O361, \".\")","v":"Product of Rows 355 and 361."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":364}]
[null,"Street area of entire CBD (acres)",null,null,null,{"$f":"Cordon!G322","v":1260},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":365}]
[null,{"$f":"CONCATENATE(\"From Cordon worksheet, Row \",Cordon!P322, \".\")","v":"From Cordon worksheet, Row 322."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":366}]
[null,"Eff. % of street area taken from service due to double-pkd autos:",null,null,null,{"$f":"F363/F365","v":1.8555970936923317E-3},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":367}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O363, \" to Row \",O365, \".\")","v":"Ratio of Row 363 to Row 365."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":368}]
[null,"Above expressed as effective factor change in traffic level:",null,null,null,{"$f":"1/(1-F367)","v":1.0018590467354116},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":369}]
[null,{"$f":"CONCATENATE(\"Complement of percent in Row \",O367, \".\")","v":"Complement of percent in Row 367."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":370}]
[null,"Hourly VMT in period (within CBD)",null,null,null,null,{"$f":"'Motor Vs'!G166","v":72672.41816644893},{"$f":"'Motor Vs'!H166","v":84940.230064423406},{"$f":"'Motor Vs'!I166","v":160753.02998788506},{"$f":"'Motor Vs'!J166","v":160844.10566358111},{"$f":"'Motor Vs'!K166","v":145895.19712919145},{"$f":"'Motor Vs'!L166","v":172834.34240215644},{"$f":"'Motor Vs'!M166","v":150693.31356494242},null,{"$f":"ROW()","v":371}]
[null,{"$f":"CONCATENATE(\"From Motor Vs worksheet, Row \",'Motor Vs'!O164, \". Is needed here as in input to formula in Row \",O373, \".\")","v":"From Motor Vs worksheet, Row 164. Is needed here as in input to formula in Row 373."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":372}]
[null,"Speed if above street area is unavailable for entire period",null,null,null,null,{"$f":"KSC/(1+0.1*((G371*$F$369)/V_sub_k)^KSE)","v":20.260015626245899},18.960931271294573,7.1984991561280411,7.1875309630006585,9.1855955682605384,5.8704853350237869,8.501342603103522,null,{"$f":"ROW()","v":373}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying traffic volumes in Row \",O371, \" by factor incrs in Row \",O369, \" and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet.\")","v":"Calculated by multiplying traffic volumes in Row 371 by factor incrs in Row 369 and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":374}]
[null,"Minutes that vehicles in CBD spend in traffic, per hour, \"before\" double-parking",null,null,null,null,{"$f":"G371*60/G353","v":215093.24559195334},268510.1684880929,1333215.4200582532,1336001.4504187889,948873.88586089131,1756888.072187392,1058719.3700744703,null,{"$f":"ROW()","v":375}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O371, \" to Row \",O353, \", multiplied by 60.\")","v":"Ratio of Row 371 to Row 353, multiplied by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":376}]
[null,"Minutes that vehicles in CBD spend in traffic, per hour, with double-parking",null,null,null,null,{"$f":"G371*60/G373","v":215219.2362743449},268784.99430990464,1339887.8835822626,1342692.8370108758,952982.49990437622,1766474.1417989365,1063549.5163547222,null,{"$f":"ROW()","v":377}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O371, \" to Row \",O373, \", multiplied by 60.\")","v":"Ratio of Row 371 to Row 373, multiplied by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":378}]
[null,"Incremental minutes/hr (social delay costs due to the assumed double-parking)",null,null,null,null,{"$f":"G377-G375","v":125.99068239156622},274.82582181174075,6672.4635240093339,6691.3865920868702,4108.6140434849076,9586.069611544488,4830.146280251909,null,{"$f":"ROW()","v":379}]
[null,{"$f":"CONCATENATE(\"Row \",O377, \" less Row \",O375, \".\")","v":"Row 377 less Row 375."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":380}]
[null,"Social delay costs in minutes due to one car's double-parking for one hour",null,null,null,null,{"$f":"G379/$F$355","v":1.2599068239156623},2.7482582181174076,66.724635240093335,66.913865920868702,41.086140434849078,95.860696115444881,48.30146280251909,null,{"$f":"ROW()","v":381}]
[null,{"$f":"CONCATENATE(\"Row \",O379, \" divided by Row \",O355, \".\")","v":"Row 379 divided by Row 355."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":382}]
[null,"Average per-hour value of time per vehicle, within CBD:",null,null,null,{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":383}]
[null,"From Cost-Benefit worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":384}]
[null,"Avg per-hr delay cost from one vehicle's double-parking within CBD",null,null,null,null,{"$f":"$F$383*G381/60","v":1.0827298158301859},2.3617787108320658,57.341345132422774,57.503964856561232,35.30831679119084,82.380087066959803,41.508969498208579,null,{"$f":"ROW()","v":385}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O381, \" and \",O383, \", divided by 60.\")","v":"Product of Rows 381 and 383, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":386}]
[null,"Avg per-minute delay cost from one vehicle's double-parking w/i CBD",null,null,null,null,{"$f":"G385/60","v":1.8045496930503099E-2},3.9362978513867761E-2,0.95568908554037957,0.95839941427602049,0.58847194651984736,1.3730014511159967,0.69181615830347631,null,{"$f":"ROW()","v":387}]
[null,{"$f":"CONCATENATE(\"Row \",O385, \", divided by 60.\")","v":"Row 385, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":388}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":389}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":390}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":391}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":392}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":393}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":394}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":395}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":396}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":397}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":398}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":399}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":400}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":401}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":402}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":403}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":404}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":405}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":406}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":407}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":408}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":409}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":410}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":411}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":412}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":413}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":414}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":415}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":416}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":417}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":418}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":419}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":420}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":421}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":422}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":423}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":424}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":425}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":426}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":427}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":428}]
[null,"6. Estimate revenue gain from eliminating Manhattan residents' exemption from sales tax on monthly parking.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":429}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":430}]
[null,"Explanatory text TK",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":431}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":432}]
[null,"Number of commercial/pay-for parking spaces in Manhattan",null,null,null,null,null,null,100000,null,{"$f":"CONCATENATE(\"Following is a narrative that recounts/explains the estimate at bottom (Row \",O484, \") that eliminating the exemption from the NYC surcharge for monthly parking charges in Manhattan lots and garages will raise $\",I484/1000000, \" million per year in new net revenue.\")","v":"Following is a narrative that recounts/explains the estimate at bottom (Row 484) that eliminating the exemption from the NYC surcharge for monthly parking charges in Manhattan lots and garages will raise $9.8 million per year in new net revenue."},null,null,null,{"$f":"ROW()","v":433}]
[null,"Source: Margot Tohn, CEO, Park-It Guides, personal communication, 5-April 2012.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":434}]
[null,"Number of monthly-paying parking customers in Manhattan (subset of prior number)",null,null,null,null,null,null,50000,null,null,null,null,null,{"$f":"ROW()","v":435}]
[null,"Ditto.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":436}]
[null,"Share of monthly-paying parking customers who receive the sales tax exemption",null,null,null,null,null,null,0.6,null,"NYC Tax Bulletin ST-679 (TB-ST-679), dated June 20, 2014, stipulates that \"The services of parking, garaging and storing motor vehicles within New York City are subject to the 4% state tax, the 6% New York City local tax, and the ⅜% Metropolitan Commuter Transportation District (MCTD) tax (for a combined state and local rate of 10⅜%). The borough of Manhattan has an additional 8% parking tax that applies unless the purchaser is a certified exempt resident (for a combined state and local rate of 18⅜%).\" (emphasis added)",null,null,null,{"$f":"ROW()","v":437}]
[null,"Komanoff estimate. Margot Tohn says figure is higher than 50%, but didn't specify further.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":438}]
[null,"Number of monthly-paying parking customers receiving sales tax exemption",null,null,null,null,null,null,{"$f":"ROUND(I437*I435,-2)","v":30000},null,null,null,null,null,{"$f":"ROW()","v":439}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O435, \" and \",O437, \".\")","v":"Product of Rows 435 and 437."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":440}]
[null,"Sales tax rate applied to NYC parking facilities (w/o exemptions)",null,null,null,null,null,null,0.18375,null,null,null,null,null,{"$f":"ROW()","v":441}]
[null,"Source: NYC Tax Bulletin ST-679 (TB-ST-679), dated June 20, 2014, available at: http://www.tax.ny.gov/pubs_and_bulls/tg_bulletins/st/parking-nyc.htm. \"The services of parking, garaging and storing motor vehicles within New York City are subject to the 4% state tax, the 6% New York City local tax, and the ⅜% Metropolitan Commuter Transportation District (MCTD) tax (for a combined state and local rate of 10⅜%). The borough of Manhattan has an additional 8% parking tax that applies unless the purchaser is a certified exempt resident (for a combined state and local rate of 18⅜%).\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":442}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":443}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":444}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":445}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"I estimate that \",I439/1000, \",000 Manhattan residents currently receive that exemption from the 8% parking tax surcharge. I further estimate that these residents currently pay an average of $\",ROUND(I466,0), \" per month in parking charges, excluding taxes.\")","v":"I estimate that 30,000 Manhattan residents currently receive that exemption from the 8% parking tax surcharge. I further estimate that these residents currently pay an average of $383 per month in parking charges, excluding taxes."},null,null,null,{"$f":"ROW()","v":446}]
[null,"Sales tax rate paid by Manhattan residents who receive the monthly parking exemption",null,null,null,null,null,null,0.10375,null,null,null,null,null,{"$f":"ROW()","v":447}]
[null,"Inferred from NYC Tax Bulletin ST-679 (TB-ST-679), referenced directly ablveo.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":448}]
[null,"Value of sales tax exemption received by qualifying Manhattan residents ",null,null,null,null,null,null,{"$f":"I441-I447","v":0.08},null,null,null,null,null,{"$f":"ROW()","v":449}]
[null,{"$f":"CONCATENATE(\"Row \",O441, \" less Row \",O447, \".\")","v":"Row 441 less Row 447."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Eliminating the 8% exemption should then generate 8% x $\",ROUND(I466,0),\" or $\",ROUND(I468,0),\" per month, which equates to $\",ROUND(I470,0),\" per year, from each Manhattan resident receiving the exemption. Assuming \",(I472*100),\"% 'attrition' in the number of monthly parkers in response to the effective price hike from losing the exemption, the increase in tax revenues would be calculated as the product of \",ROUNDDOWN(I476/1000,0),\",\",(I476-ROUNDDOWN(I476,-3)), \" parkers times the eliminated exemption (i.e., restored tax revenue) of $\",ROUND(I470,0),\" for each, which computes to $\",(I478/1000000), \" million per year.\")","v":"Eliminating the 8% exemption should then generate 8% x $383 or $31 per month, which equates to $368 per year, from each Manhattan resident receiving the exemption. Assuming 5% 'attrition' in the number of monthly parkers in response to the effective price hike from losing the exemption, the increase in tax revenues would be calculated as the product of 28,500 parkers times the eliminated exemption (i.e., restored tax revenue) of $368 for each, which computes to $10.5 million per year."},null,null,null,{"$f":"ROW()","v":450}]
[null,null,null,2008,2014,null,null,"Komanoff ests.",2014,null,null,null,null,null,{"$f":"ROW()","v":451}]
[null,"Average monthly parking rates",null,"(Includes tax)","(Includes tax)","Both columns are from Margot Tohn. 2008 figs were reported to Komanoff in April 2012 (personal communication): \"These are the posted rates, and most garages will negotiate and undercut competitors.\" 2014 rates were copied from Margot's http://nyc.parkitguides.com/, accessed 26-Jan-2015.",null,"Shares","(w/o tax)",null,null,null,null,null,{"$f":"ROW()","v":452}]
[null,"Above 125th St",null,227,293,null,null,0.02,{"$f":"E453/(1+$I$441)","v":247.51847940865892},{"$f":"CONCATENATE(\"Monthly rates w/o tax are calc'd by dividing rates in Col. H by 1 plus sales tax rate in Cell I\",O441, \".\")","v":"Monthly rates w/o tax are calc'd by dividing rates in Col. H by 1 plus sales tax rate in Cell I441."},null,null,null,null,{"$f":"ROW()","v":453}]
[null,"Upper East Side, 59-86 ",null,556,556,null,null,0.15,469.69376979936641,null,null,null,null,null,{"$f":"ROW()","v":454}]
[null,"Upper West Side, 59-110",null,498,498,null,null,0.15,420.69693769799363,null,null,null,null,null,{"$f":"ROW()","v":455}]
[null,"Chelsea/Clinton/Javits*",null,362,384,null,null,0.1,324.39281942977823,null,null,null,null,null,{"$f":"ROW()","v":456}]
[null,"Midtown, 8th Ave to FDR, 23-59",null,474,525,null,null,0.3,443.50580781414993,null,null,null,null,null,{"$f":"ROW()","v":457}]
[null,"14th St to Canal St",null,461,514,null,null,0.15,434.21330517423439,null,{"$f":"CONCATENATE(\"However, that figure must be netted by the current 'regular' sales tax revenue that will be foregone due to the 'lost' monthly parkers -- those \"&\"who will cease keeping a car and paying for monthly parking. That foregone revenue is estimated as the product of the number of parkers lost to attrition, which is \",ROUNDDOWN(I474/1000,0),\",\",(I474-ROUNDDOWN(I474,-3)),\", times the sales tax of $\",ROUND(I480,0),\" they currently pay per year. (That latter figure is calculated as the product of the average pre-tax monthly parking charge of $\",ROUND(I466,0),\" times the sales tax rate (with exemption) of \",I447*100,\"%, times 12.) The foregone revenue computes to $\",(I482/1000), \",000. Netting that loss from the gross gain of $\",(I478/1000000), \" million just calculated results in a *net* revenue gain from eliminating the surcharge of $\",(I484/1000000), \" million per year.\")","v":"However, that figure must be netted by the current 'regular' sales tax revenue that will be foregone due to the 'lost' monthly parkers -- those who will cease keeping a car and paying for monthly parking. That foregone revenue is estimated as the product of the number of parkers lost to attrition, which is 1,500, times the sales tax of $477 they currently pay per year. (That latter figure is calculated as the product of the average pre-tax monthly parking charge of $383 times the sales tax rate (with exemption) of 10.375%, times 12.) The foregone revenue computes to $700,000. Netting that loss from the gross gain of $10.5 million just calculated results in a *net* revenue gain from eliminating the surcharge of $9.8 million per year."},null,null,null,{"$f":"ROW()","v":458}]
[null,"Tribeca and Civic Center",null,536,536,null,null,0.05,452.79831045406542,null,null,null,null,null,{"$f":"ROW()","v":459}]
[null,"Financial District",null,496,563,null,null,0.05,475.60718057022171,null,null,null,null,null,{"$f":"ROW()","v":460}]
[null,"Lower East Side",null,336,387,null,null,0.03,326.92713833157336,null,null,null,null,null,{"$f":"ROW()","v":461}]
[null,"T O T A L",null,{"$f":"SUMPRODUCT($H453:$H461,D453:D461)","v":471.86999999999995},{"$f":"SUMPRODUCT($H453:$H461,E453:E461)","v":503.52000000000004},null,null,{"$f":"SUM(H453:H461)","v":1},{"$f":"SUMPRODUCT($H453:$H461,I453:I461)","v":425.36008447729677},null,null,null,null,null,{"$f":"ROW()","v":462}]
[null,"*Note: C/C/J is West of 8th Ave, 23-59",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":463}]
[null,"Discount from average rate, to reflect customer negotiations, seasonal vacancies, etc.",null,null,null,null,null,null,0.1,null,null,null,null,null,{"$f":"ROW()","v":464}]
[null,"Komanoff estimate. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":465}]
[null,"Avg monthly parking rate for Manhattan residents who receive sales tax exemption (adjusted, w/o taxes)",null,null,null,null,null,null,{"$f":"ROUND(I462*(1-I464),0)","v":383},null,null,null,null,null,{"$f":"ROW()","v":466}]
[null,{"$f":"CONCATENATE(\"Product of Cell I\",O462, \" weighted average and complement of discount in Row \",O464, \".\")","v":"Product of Cell I462 weighted average and complement of discount in Row 464."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":467}]
[null,"Monthly value of Manhattan residents sales tax exemption ",null,null,null,null,null,null,{"$f":"I449*I466","v":30.64},null,null,null,null,null,{"$f":"ROW()","v":468}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O$449, \" and \",O466, \".\")","v":"Product of Rows 449 and 466."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":469}]
[null,"Annual value of Manhattan residents sales tax exemption ",null,null,null,null,null,null,{"$f":"12*I468","v":367.68},null,null,null,null,null,{"$f":"ROW()","v":470}]
[null,{"$f":"CONCATENATE(\"Product of 12 (months in year) and Row \",O468, \".\")","v":"Product of 12 (months in year) and Row 468."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":471}]
[null,"Share of Manhattan exemption-receiving monthly parkers who will stop parking if exemption is eliminated",null,null,null,null,null,null,0.05,null,null,null,null,null,{"$f":"ROW()","v":472}]
[null,"Komanoff estimate. (Could/should derive through elasticity assumption and calculation.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":473}]
[null,"Current monthly parkers who will stop parking if exemption is eliminated",null,null,null,null,null,null,{"$f":"I472*I439","v":1500},null,null,null,null,null,{"$f":"ROW()","v":474}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O439, \" and percent in Row \",O472, \".\")","v":"Product of Row 439 and percent in Row 472."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":475}]
[null,"Monthly parkers who will pay more when exemption is eliminated",null,null,null,null,null,null,{"$f":"I439-I474","v":28500},null,null,null,null,null,{"$f":"ROW()","v":476}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O439, \" and \",O474, \".\")","v":"Difference between Rows 439 and 474."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":477}]
[null,"Gross revenue gain to NYC from eliminating exemption",null,null,null,null,null,null,{"$f":"ROUND(I476*I470,-5)","v":10500000},null,null,null,null,null,{"$f":"ROW()","v":478}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O476, \" and \",O470, \".\")","v":"Product of Rows 476 and 470."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":479}]
[null,"Sales tax revenue NYC will lose per parker lost to attrition, if exemption is eliminated",null,null,null,null,null,null,{"$f":"I447*I466*12","v":476.83499999999998},null,null,null,null,null,{"$f":"ROW()","v":480}]
[null,{"$f":"CONCATENATE(\"Product of current sales tax rate in Rows \",O447, \", base (no-tax) parking rate in Row \",O466, \", and 12.\")","v":"Product of current sales tax rate in Rows 447, base (no-tax) parking rate in Row 466, and 12."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":481}]
[null,"Sales tax revenue NYC will lose through attrition, if exemption is removed, total",null,null,null,null,null,null,{"$f":"ROUND(I480*I474,-5)","v":700000},null,null,null,null,null,{"$f":"ROW()","v":482}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O474, \" and \",O480, \".\")","v":"Product of Rows 474 and 480."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":483}]
[null,"Net revenue gain to NYC from eliminating exemption",null,null,null,null,null,null,{"$f":"I478-I482","v":9800000},null,null,null,null,null,{"$f":"ROW()","v":484}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",O478, \" and \",O482, \".\")","v":"Difference between Rows 478 and 482."}]

{"sheet":"Park-and-Ride","index":57,"n_rows":350,"n_cols":15,"rows_kept":350,"cut":false,"hidden":false,"merged":[[54,11,62,11],[54,12,56,12],[54,13,62,13],[346,1,347,9],[68,1,69,9],[247,1,248,9],[331,7,331,9],[331,11,331,13],[337,7,337,9],[337,11,337,13],[339,7,339,9],[339,11,339,13],[311,1,312,9],[328,7,328,9],[328,11,328,13],[330,7,330,9],[330,11,330,13],[170,1,171,9],[158,1,159,9],[162,1,163,9],[151,7,153,7],[151,8,153,8],[340,7,340,9],[340,11,340,13],[238,9,240,9],[296,13,298,13],[173,1,174,9],[273,9,275,9],[295,11,295,13],[273,13,275,13],[186,13,188,13],[238,7,240,7],[238,8,240,8],[228,9,230,9],[295,7,295,9],[176,1,177,9],[208,11,208,13],[238,11,240,11],[238,12,240,12],[296,11,298,11],[308,1,309,9],[232,1,234,9],[224,9,226,9],[235,1,235,8],[237,7,237,9],[296,7,298,7],[296,8,298,8],[296,9,298,9],[185,11,185,13],[186,7,188,7],[185,7,185,9],[237,11,237,13],[196,7,196,9],[198,7,198,9],[199,7,199,9],[224,1,226,8],[214,1,215,9],[207,7,207,9],[186,11,188,11],[186,12,188,12],[207,11,207,13],[272,11,272,13],[296,12,298,12],[264,1,266,9],[4,1,6,9],[7,1,7,9],[8,1,11,9],[123,1,124,6],[120,7,120,9],[121,8,123,8],[37,1,40,9],[12,1,16,9],[17,1,21,9],[72,7,72,9],[107,7,107,8],[121,7,123,7],[109,1,110,9],[54,8,56,8],[54,9,56,9],[57,1,59,7],[60,1,62,7],[121,9,123,9],[151,12,153,12],[273,7,275,7],[273,8,275,8],[250,1,252,9],[238,13,240,13],[205,7,205,9],[72,19,74,19],[73,11,75,11],[73,12,75,12],[73,13,75,13],[82,1,84,9],[105,7,105,9],[105,11,105,13],[73,7,75,7],[73,8,75,8],[73,9,75,9],[90,1,91,9],[96,7,96,8],[98,1,102,9],[72,11,72,13],[272,7,272,9],[273,11,275,11],[273,12,275,12],[228,1,230,8],[303,1,305,9],[64,1,66,9],[58,8,59,8],[61,8,62,8],[151,9,153,9],[151,13,153,13],[186,8,188,8],[186,9,188,9],[96,11,96,12],[107,11,107,12],[120,11,120,13],[196,11,196,13],[198,11,198,13],[199,11,199,13],[205,11,205,13],[275,1,276,6],[224,11,230,13],[208,7,208,9],[121,11,123,11],[121,12,123,12],[121,13,123,13],[150,7,150,9],[150,11,150,13],[151,11,153,11]]}
[null,"Park-and-Ride",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet applies quantitative analysis to the concern of some New Yorkers living in \"gateway\" neighborhoods to the Manhattan Central Business District, that a cordon toll will lead commuters to park their auto near a rapid-transit stop outside the CBD in order to avoid paying the new toll.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,{"$f":"CONCATENATE(\"I've analyzed this in two scenarios. The first, starting in Row \",O54, \", is the standard park-and-ride model. We assess the likelihood that someone who now drives from home to a work destination in the CBD will \" & \"instead divide her trip into two sections: (i) drive from home to a location outside the CBD and park there, either curbside or in a parking lot; (ii) take the subway from that location to the work destination in the CBD.\")","v":"I've analyzed this in two scenarios. The first, starting in Row 54, is the standard park-and-ride model. We assess the likelihood that someone who now drives from home to a work destination in the CBD will instead divide her trip into two sections: (i) drive from home to a location outside the CBD and park there, either curbside or in a parking lot; (ii) take the subway from that location to the work destination in the CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,{"$f":"CONCATENATE(\"The second scenario, shown at Row \",O221, \", is one that might arise if the LIRR or Metro-North were to reduce fares for intra-city trips. It is hypothesized that someone who now travels by train to a work destination \" & \"in the CBD will instead divide her trip into two sections: (i) drive from home to a location just across the NYC line and park there, either curbside or in a parking lot; (ii) take the now-discounted \" & \"LIRR or Metro-North from that location to the work destination in the CBD.\")","v":"The second scenario, shown at Row 221, is one that might arise if the LIRR or Metro-North were to reduce fares for intra-city trips. It is hypothesized that someone who now travels by train to a work destination in the CBD will instead divide her trip into two sections: (i) drive from home to a location just across the NYC line and park there, either curbside or in a parking lot; (ii) take the now-discounted LIRR or Metro-North from that location to the work destination in the CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"The premise in both analyses is that commuters' out-of-pocket costs and time costs can be combined into total costs, and that distributions of these costs conform to the Gaussian \"normal\" distribution. The commute mode chosen by the commuter will be the one with the lower total cost. In the analysis we assume that all trips benefit from the increased travel speeds resulting from the cordon toll — not just the improved highway speeds, but improved subway speeds stemming from investing toll revenues into transit upgrades.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Assumptions With Large Bearing on Results (User May Vary by Inputting Other Values in Magenta-colored Cells)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Discomfort / Inconvenience Cost of Switching to Park-n-Ride",null,null,null,null,null,null,null,5,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Komanoff assumption, intended to capture drivers' attachment to \"their cars\" and hassle factor of mode-switching.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"One-way distance from \"portal\" to CBD at which option to park-n-ride appears (in miles)",null,null,null,null,null,null,null,5,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Assumptions That Apply to All Trips Analyzed in this Scenario",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Distance from highway to prospective parking lot, miles (Komanoff)",null,null,null,null,null,null,null,{"$f":"3/4","v":0.75},null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Distance from highway to prospective on-street parking area, miles (same as from highway to parking lot)",null,null,null,null,null,null,null,{"$f":"J35","v":0.75},null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Time spent cruising neighborhood for eventual on-street parking space, minutes (doesn't apply to trips using parking lot)",null,null,null,null,null,null,null,{"$f":"0.5*AVERAGE(7.9,13.9)","v":5.45},null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Above figure is adapted from figures in Shoup, D., 2006. Cruising for Parking. Transport Policy. Vol. 13 (2006). At p. 480, Shoup cites average cruising times of 7.9 minutes and 13.9 minutes reported in original research in: Falcocchio, J., Jose, D., Elena, P., 1995. “An inquiry on the traffic congestion impacts of parking and pricing policies in the Manhattan CBD,” prepared for NYCDOT Division of Parking and the University Transportation Research Center, Region II. Polytechnic University of New York Transportation Training and Research Center, New York, Feb. 1995. We have taken one-half of the average of those two values, for conservatism.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Average parking-cruising speed, mph (Komanoff)",null,null,null,null,null,null,null,15,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Distance spent cruising neighborhood in search of eventual on-street parking space, miles",null,null,null,null,null,null,null,{"$f":"(J37/60)*J42","v":1.3625},null,null,null,null,{"$f":"ROW()","v":43}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O37, \" and \",O42, \", divided by 60.\")","v":"Product of Rows 37 and 42, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Nominal value of time within CBD for a solo driver on a work trip",null,null,null,null,null,null,null,{"$f":"'Value of Time'!$J62","v":37.746589388018428},null,null,null,null,{"$f":"ROW()","v":45}]
[null,"Nominal value of time outside of CBD for a solo driver on a work trip",null,null,null,null,null,null,null,{"$f":"'Value of Time'!$J100","v":25.164392925345616},null,null,null,null,{"$f":"ROW()","v":46}]
[null,{"$f":"CONCATENATE(\"Above figures are from 'Value of Time' worksheet, Rows \",'Value of Time'!O62, \" and \",'Value of Time'!O100, \", and pertain to auto trips for work by solo drivers.\")","v":"Above figures are from 'Value of Time' worksheet, Rows 62 and 100, and pertain to auto trips for work by solo drivers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Weight assigned to in-CBD value of time for estimating combined-average value of time for this driver",null,null,null,null,null,null,null,0.25,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Komanoff assumption. Note that weight assigned to non-CBD value is complement of this percent.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Average value of time used in this analysis",null,null,null,null,null,null,null,{"$f":"J48*J45+(1-J48)*J46","v":28.309942041013819},null,null,null,null,{"$f":"ROW()","v":50}]
[null,{"$f":"CONCATENATE(\"Simple math weighting on Rows \",O45, \", \",O46, \" and \",O48, \".\")","v":"Simple math weighting on Rows 45, 46 and 48."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Park-and-Ride Scenario #1: Drive to CBD, vs. Park-and-Ride (via Subway to CBD)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,"Among drivers who pay to park in CBD","Among all CBD-bound drivers ",null,{"$f":"CONCATENATE(\"Figs at left mult. resp. figs in Cells J\",O58,\" & J\",O61, \" by the \",100*('Motor Vs'!R256+'Motor Vs'!R257), \"% of AM-pk drivers who pay to park in CBD. (The \",100*('Motor Vs'!R256+'Motor Vs'!R257),\"% is from 'Motor Vs' tab (Cell R\",'Motor Vs'!O256, \" + Cell R\",'Motor Vs'!O257,\")).\")","v":"Figs at left mult. resp. figs in Cells J58 & J61 by the 52% of AM-pk drivers who pay to park in CBD. (The 52% is from 'Motor Vs' tab (Cell R256 + Cell R257))."},"Number of drivers  (vehicles)",{"$f":"CONCATENATE(\"Figs at left mult. %'s in Cells J\",O58,\" & J\",O61, \" by number of vehicle entering (but not passing thru) CBD 6-10 a.m. weekdays.\")","v":"Figs at left mult. %'s in Cells J58 & J61 by number of vehicle entering (but not passing thru) CBD 6-10 a.m. weekdays."},{"$f":"ROW()","v":55}]
[null,"Results",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Calculated change in probability that an inbound driver who experiences costs (including travel time) as assumed here will find leaving the highway to park in an off-street parking lot and continue the journey to the CBD via subway to be less costly than driving all the way into the CBD:",null,null,null,null,null,null,{"$f":"L200-H200","v":0.15696015595754542},{"$f":"('Motor Vs'!$R$256+'Motor Vs'!$R$257)*I58","v":8.1619281097923616E-2},null,null,{"$f":"ROUND(J58*('Motor Vs'!$R$139+'Motor Vs'!$S$139+'Motor Vs'!$AA$139+'Motor Vs'!$AB$139),-2)","v":8900},null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"See note in yellow, Row \",O$65,\".\")","v":"See note in yellow, Row 65."},null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Calculated change in probability that an inbound driver who experiences costs (including travel time) as assumed here will find leaving the highway to park curbside and continue the journey to the CBD via subway to be less costly than driving all the way into the CBD:",null,null,null,null,null,null,{"$f":"L209-H209","v":0.10117558830631967},{"$f":"('Motor Vs'!$R$256+'Motor Vs'!$R$257)*I61","v":5.2611305919286235E-2},null,null,{"$f":"ROUND(J61*('Motor Vs'!$R$139+'Motor Vs'!$S$139+'Motor Vs'!$AA$139+'Motor Vs'!$AB$139),-2)","v":5700},null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"See note in yellow, Row \",O$65,\".\")","v":"See note in yellow, Row 65."},null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,{"$f":"IF('Policy Levers'!K191=\"YES\",CONCATENATE(\"NOTE: Percent results in Rows \",O58, \" and \",O61, \" apply some years in future, after transit investments of congestion revenues have borne fruit and have reduced \" & \"somewhat the time for the post-park-and-ride trip leg to the CBD. To see projected *immediate* ('overnight')  percentages, without the fruits of transit investment, follow instruxns in Cell E\",'Policy Levers'!O192, \" of 'Policy Levers' tab.\"),CONCATENATE(\"Percent results in Rows \",O58, \" and \",O61, \" are for an 'immediate' scenario, i.e., one that doesn't take credit for transit investments that would reduce somewhat the time for the post-park-and-ride trip leg to the CBD. \" & \"To see longer-term percent results that do reflect fruits of transit investment, follow instruxns in Cell E\",'Policy Levers'!O192,\" of 'Policy Levers' tab.\"))","v":"NOTE: Percent results in Rows 58 and 61 apply some years in future, after transit investments of congestion revenues have borne fruit and have reduced somewhat the time for the post-park-and-ride trip leg to the CBD. To see projected *immediate* ('overnight')  percentages, without the fruits of transit investment, follow instruxns in Cell E192 of 'Policy Levers' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Note: The analysis is done for two directions of travel (round-trip) and assumes that trips are done for work purposes. It's also predicated on trips entering CBD during 6-9 a.m. morning peak and departing during 2-8 p.m. evening peak.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"The Calculations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Time Parameters (in minutes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Inbound",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"A. Parking",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Time to drive from hwy to parking lot or nghbhd to cruise for on-street parking (minutes)",null,null,null,null,null,{"$f":"J35*60/J98","v":2.5858158538171692},{"$f":"J36*60/J98","v":2.5858158538171692},0,null,{"$f":"H82*(1+L86)","v":3.2322698172714617},{"$f":"I82*(1+M86)","v":3.8787237807257537},{"$f":"J82*(1+N86)","v":0},{"$f":"ROW()","v":82}]
[null,{"$f":"CONCATENATE(\"Park-n-Ride Baseline figures apply distances in Rows \",O35, \" or \",O36, \" to 'All Drive' speed in Row \",O98, \". Note that both roughly match figure from WE ACT report, 'Congestion Pricing and Northern \" & \"Manhattan', <https://www.weact.org/publications/northern-manhattan-and-the-congestion-pricing-plan-a-comprehensive-look-at-the-citywide-plan-from-a-community-perspective/>, p. 16. 'After' figures add factor equal to one plus percents in Row \",O86, \".\")","v":"Park-n-Ride Baseline figures apply distances in Rows 35 or 36 to 'All Drive' speed in Row 98. Note that both roughly match figure from WE ACT report, 'Congestion Pricing and Northern Manhattan', <https://www.weact.org/publications/northern-manhattan-and-the-congestion-pricing-plan-a-comprehensive-look-at-the-citywide-plan-from-a-community-perspective/>, p. 16. 'After' figures add factor equal to one plus percents in Row 86."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Percent increase in distance from highway exit to parking lot or curbside space after implementing cordon toll",null,null,null,null,null,null,null,null,null,0.25,0.5,-0.1,{"$f":"ROW()","v":86}]
[null,"Komanoff assumptions, intended to reflect (i) greater competition for both off- and on-street parking from switches to Park-n-Ride, and (ii) lesser demand for parking in CBD, after tolling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Time to park auto in (park-n-ride) neighborhood, minutes",null,null,null,null,null,2,{"$f":"J37","v":5.45},0,null,{"$f":"H88*(1+L86)","v":2.5},{"$f":"I88*(1+M86)","v":8.1750000000000007},{"$f":"J88","v":0},{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Komanoff assumptions, except that 'on-street baseline', which reflects cruising, is from Row \",O37, \". Park-n-Ride After figures incorporate percents in Row \",O86, \".\")","v":"Komanoff assumptions, except that 'on-street baseline', which reflects cruising, is from Row 37. Park-n-Ride After figures incorporate percents in Row 86."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Time to walk from neighborhood parking space to subway station, minutes",null,null,null,null,null,5,{"$f":"H90","v":5},0,null,{"$f":"H90*(1+L86)","v":6.25},{"$f":"I90*(1+M86)","v":7.5},{"$f":"J90","v":0},{"$f":"ROW()","v":90}]
[null,{"$f":"CONCATENATE(\"Off-street Baseline is assumed to be 1/2 of that in WE ACT report cited in Row \",O83, \", p. 16. We assume on-street baseline is same, though it could be greater if on-street parking is hard to find. 'After' figures add percents in Row \",O86, \" on premise that competition moves parking further from subway.\")","v":"Off-street Baseline is assumed to be 1/2 of that in WE ACT report cited in Row 83, p. 16. We assume on-street baseline is same, though it could be greater if on-street parking is hard to find. 'After' figures add percents in Row 86 on premise that competition moves parking further from subway."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"B. Traveling from Highway Exit or Park-n-Ride Spot, to CBD",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Time between reaching subway station and arrival of train headed to CBD, minutes",null,null,null,null,null,5,{"$f":"H94","v":5},0,null,{"$f":"H94/(1-Subways!$L$184)","v":4.5048958739892919},{"$f":"I94/(1-Subways!$L$184)","v":4.5048958739892919},{"$f":"J94","v":0},{"$f":"ROW()","v":94}]
[null,{"$f":"CONCATENATE(\"Figures are intended to include interval from station entrance to platform. 'Park-n-Ride After' figures incorporate anticipated improvement in transit service from 'Subways' tab, Cell L\",Subways!O184, \".\")","v":"Figures are intended to include interval from station entrance to platform. 'Park-n-Ride After' figures incorporate anticipated improvement in transit service from 'Subways' tab, Cell L184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Distance from highway exit point (park vs. drive) to cordon, miles",null,null,null,null,null,{"$f":"$J$30","v":5},{"$f":"$J$30","v":5},{"$f":"$J$30","v":5},null,{"$f":"H96","v":5},{"$f":"I96","v":5},{"$f":"J96","v":5},{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"From Row \",O30, \" above.\")","v":"From Row 30 above."},null,null,null,null,null,"via subway",null,"via auto",null,"via subway",null,"via auto",{"$f":"ROW()","v":97}]
[null,"Speed to cover that distance, mph",null,null,null,null,null,{"$f":"CBTC!J133","v":16.105445797865247},{"$f":"H98","v":16.105445797865247},{"$f":"'Motor Vs'!I217","v":17.40263133338409},null,{"$f":"H98/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"I98/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"'Motor Vs'!I955","v":19.151881090899597},{"$f":"ROW()","v":98}]
[null,{"$f":"CONCATENATE(\"Baseline Park-n-Ride figures are systemwide on-peak averages from 'CBTC' worksheet, Cell J\",CBTC!O$133, \". After Park-n-Ride is Before figure divided by complement of subway-average time saving percent estimated in 'CBTC' worksheet, Row \",CBTC!O209, \". Baseline All Drive is baseline speed for A.M. Peak from 'Motor Vs' worksheet, Row \",'Motor Vs'!O$217, \". After All Drive is final speed for A.M. Peak from same worksheet, Row \",'Motor Vs'!O955, \". Note that subway speeds w/ toll use system avg speed gain from CBTC; in analyzing park-and-ride for specific neighborhoods  it may be advisable to substitute either zero or the speed gain for lines with CBTC, \" & \"assuming it's known if the pertinent subway line is slated for CBTC. Another option is to turn Transit Improvement switch in 'Policy Levers' tab to off, so \" & \"numerical results reflect immediate situation rather than transit improvements that will take time to implement.\")","v":"Baseline Park-n-Ride figures are systemwide on-peak averages from 'CBTC' worksheet, Cell J133. After Park-n-Ride is Before figure divided by complement of subway-average time saving percent estimated in 'CBTC' worksheet, Row 209. Baseline All Drive is baseline speed for A.M. Peak from 'Motor Vs' worksheet, Row 217. After All Drive is final speed for A.M. Peak from same worksheet, Row 955. Note that subway speeds w/ toll use system avg speed gain from CBTC; in analyzing park-and-ride for specific neighborhoods  it may be advisable to substitute either zero or the speed gain for lines with CBTC, assuming it's known if the pertinent subway line is slated for CBTC. Another option is to turn Transit Improvement switch in 'Policy Levers' tab to off, so numerical results reflect immediate situation rather than transit improvements that will take time to implement."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Time to cover distance from highway exit point or subway platform to cordon, minutes",null,null,null,null,null,{"$f":"H96*60/H98","v":18.627239740222809},{"$f":"I96*60/I98","v":18.627239740222809},{"$f":"J96*60/J98","v":17.238772358781127},null,{"$f":"L96*60/L98","v":16.580039647358497},{"$f":"M96*60/M98","v":16.580039647358497},{"$f":"N96*60/N98","v":15.664257655742812},{"$f":"ROW()","v":104}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O96, \" and \",O98, \".\")","v":"Algebra on Rows 96 and 98."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"C. Traveling from CBD Entry Point to Destination",null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":106}]
[null,"Distance from cordon crossing to destination, miles",null,null,null,null,null,{"$f":"'Motor Vs'!$I99","v":1.25},{"$f":"'Motor Vs'!$I99","v":1.25},{"$f":"'Motor Vs'!$I99","v":1.25},null,{"$f":"H107","v":1.25},{"$f":"I107","v":1.25},{"$f":"J107","v":1.25},{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' worksheet, Row \",'Motor Vs'!O99, \".\")","v":"From 'Motor Vs' worksheet, Row 99."},null,null,null,null,null,"via subway",null,"via auto",null,"via subway",null,"via auto",{"$f":"ROW()","v":108}]
[null,"Speed to cover that distance, mph",null,null,null,null,null,{"$f":"CBTC!J133","v":16.105445797865247},{"$f":"H109","v":16.105445797865247},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},null,{"$f":"H109/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"I109/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"'Motor Vs'!I954","v":9.8726835319879651},{"$f":"ROW()","v":109}]
[null,{"$f":"CONCATENATE(\"Park-n-Ride figures are same as in Row \",O98, \". All Drive is baseline speed for A.M. Peak from 'Motor Vs' worksheet, Row \",'Motor Vs'!O$201, \". All Drive, after, is final speed for A.M. Peak from same worksheet, Row \",'Motor Vs'!O954, \".\")","v":"Park-n-Ride figures are same as in Row 98. All Drive is baseline speed for A.M. Peak from 'Motor Vs' worksheet, Row 201. All Drive, after, is final speed for A.M. Peak from same worksheet, Row 954."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Time to cover distance from cordon to trip terminus, minutes",null,null,null,null,null,{"$f":"H107*60/H109","v":4.6568099350557022},{"$f":"I107*60/I109","v":4.6568099350557022},{"$f":"J107*60/J109","v":10.36695404869452},null,{"$f":"L107*60/L109","v":4.1450099118396242},{"$f":"M107*60/M109","v":4.1450099118396242},{"$f":"N107*60/N109","v":7.5967187398437748},{"$f":"ROW()","v":112}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O107, \" and \",O109, \".\")","v":"Algebra on Rows 107 and 109."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Time to park auto in CBD parking lot, minutes",null,null,null,null,null,0,0,2,null,{"$f":"H114","v":0},{"$f":"I114","v":0},{"$f":"J114*(1+$N$86)","v":1.8},{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"Baseline All-Drive is Komanoff assumption. After All-Drive incorporates Row \",O86, \" change reflecting less competition for off-street CBD parking.\")","v":"Baseline All-Drive is Komanoff assumption. After All-Drive incorporates Row 86 change reflecting less competition for off-street CBD parking."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Time to walk from trip terminus (subway or garage/lot) to destination, minutes",null,null,null,null,null,5,5,{"$f":"H116/2","v":2.5},null,{"$f":"H116","v":5},{"$f":"I116","v":5},{"$f":"J116","v":2.5},{"$f":"ROW()","v":116}]
[null,"Komanoff assumptions. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,"D. Inbound Trip Legs, Combined",null,null,null,null,null,{"$f":"H82+H88+H90+H94+H104+H112+H114+H116","v":42.869865529095684},{"$f":"I82+I88+I90+I94+I104+I112+I114+I116","v":46.319865529095679},{"$f":"J82+J88+J90+J94+J104+J112+J114+J116","v":32.105726407475643},null,{"$f":"L82+L88+L90+L94+L104+L112+L114+L116","v":42.212215250458868},{"$f":"M82+M88+M90+M94+M104+M112+M114+M116","v":49.783669213913164},{"$f":"N82+N88+N90+N94+N104+N112+N114+N116","v":27.560976395586589},{"$f":"ROW()","v":118}]
[null,{"$f":"CONCATENATE(\"Total time for this leg of journey (following highway 'exit point'; one way). Is sum of 8 different 'time' entries between Rows \",O81, \" and \",O118, \".\")","v":"Total time for this leg of journey (following highway 'exit point'; one way). Is sum of 8 different 'time' entries between Rows 81 and 118."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Outbound (explanations for entries and calculations are mostly omitted, for brevity; they should be evident from Inbound section, above)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"A. Traveling from Destination to CBD Exit Point ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Time to walk from workplace to subway or garage/lot to begin reverse trip, minutes",null,null,null,null,null,{"$f":"H116","v":5},{"$f":"I116","v":5},{"$f":"J116","v":2.5},null,{"$f":"L116","v":5},{"$f":"M116","v":5},{"$f":"N116","v":2.5},{"$f":"ROW()","v":128}]
[null,"Time to retrieve car from CBD parking lot and begin drive out of CBD, minutes",null,null,null,null,null,0,0,{"$f":"J114","v":2},null,0,0,{"$f":"N114","v":1.8},{"$f":"ROW()","v":129}]
[null,"Time between reaching subway station and arrival of train from CBD, minutes",null,null,null,null,null,{"$f":"H94","v":5},{"$f":"I94","v":5},{"$f":"J94","v":0},null,{"$f":"L94","v":4.5048958739892919},{"$f":"M94","v":4.5048958739892919},{"$f":"N94","v":0},{"$f":"ROW()","v":130}]
[null,"Distance from beginning of reverse trip to cordon boundary, miles",null,null,null,null,null,{"$f":"H107","v":1.25},{"$f":"I107","v":1.25},{"$f":"J107","v":1.25},null,{"$f":"L107","v":1.25},{"$f":"M107","v":1.25},{"$f":"N107","v":1.25},{"$f":"ROW()","v":131}]
[null,{"$f":"CONCATENATE(\"Speed to cover distance, mph (same as Row \",O109, \" except auto speeds are p.m. peak)\")","v":"Speed to cover distance, mph (same as Row 109 except auto speeds are p.m. peak)"},null,null,null,null,null,{"$f":"CBTC!J133","v":16.105445797865247},{"$f":"H132","v":16.105445797865247},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},null,{"$f":"H132/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"I132/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"'Motor Vs'!L954","v":7.1683491347461699},{"$f":"ROW()","v":132}]
[null,"Time to cover trip leg within cordon, minutes",null,null,null,null,null,{"$f":"H131*60/H132","v":4.6568099350557022},{"$f":"I131*60/I132","v":4.6568099350557022},{"$f":"J131*60/J132","v":12.7064451411182},null,{"$f":"L131*60/L132","v":4.1450099118396242},{"$f":"M131*60/M132","v":4.1450099118396242},{"$f":"N131*60/N132","v":10.462660033739517},{"$f":"ROW()","v":133}]
[null,"B. Traveling from CBD to Highway Exit or Park-n-Ride Spot",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Distance from cordon to highway exit point (park vs. drive), miles",null,null,null,null,null,{"$f":"H96","v":5},{"$f":"I96","v":5},{"$f":"J96","v":5},null,{"$f":"L96","v":5},{"$f":"M96","v":5},{"$f":"N96","v":5},{"$f":"ROW()","v":135}]
[null,{"$f":"CONCATENATE(\"Speed to cover distance, mph (same as Row \",O98, \" except auto speeds are p.m. peak)\")","v":"Speed to cover distance, mph (same as Row 98 except auto speeds are p.m. peak)"},null,null,null,null,null,{"$f":"CBTC!J133","v":16.105445797865247},{"$f":"H136","v":16.105445797865247},{"$f":"'Motor Vs'!L217","v":15.562241535911015},null,{"$f":"H136/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"I136/(1+Subways!$L$184)","v":18.094045996313131},{"$f":"'Motor Vs'!L955","v":16.509152455759729},{"$f":"ROW()","v":136}]
[null,"Time to cover distance from cordon exit to highway exit point, minutes",null,null,null,null,null,{"$f":"H135*60/H136","v":18.627239740222809},{"$f":"I135*60/I136","v":18.627239740222809},{"$f":"J135*60/J136","v":19.277428595856705},null,{"$f":"L135*60/L136","v":16.580039647358497},{"$f":"M135*60/M136","v":16.580039647358497},{"$f":"N135*60/N136","v":18.171738422303786},{"$f":"ROW()","v":137}]
[null,"C. Final Leg, from Park-n-Ride Spot to Home",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Time to walk from subway station to parking space, minutes",null,null,null,null,null,{"$f":"H90","v":5},{"$f":"I90","v":5},{"$f":"J90","v":0},null,{"$f":"L90","v":6.25},{"$f":"M90","v":7.5},{"$f":"N90","v":0},{"$f":"ROW()","v":139}]
[null,"Time to pick up car from curbside space or parking lot, minutes",null,null,null,null,null,{"$f":"H88","v":2},1,0,null,{"$f":"L88","v":2.5},{"$f":"I140","v":1},{"$f":"J140","v":0},{"$f":"ROW()","v":140}]
[null,"Time to drive from parking space to hwy entr. to begin final leg of return journey (minutes)",null,null,null,null,null,{"$f":"H82","v":2.5858158538171692},{"$f":"I82","v":2.5858158538171692},{"$f":"J82","v":0},null,{"$f":"L82","v":3.2322698172714617},{"$f":"M82","v":3.8787237807257537},{"$f":"N82","v":0},{"$f":"ROW()","v":141}]
[null,"D. Outbound Trip Legs, Combined",null,null,null,null,null,{"$f":"H128+H129+H130+H133+H137+H139+H140+H141","v":42.869865529095676},{"$f":"I128+I129+I130+I133+I137+I139+I140+I141","v":41.869865529095676},{"$f":"J128+J129+J130+J133+J137+J139+J140+J141","v":36.483873736974907},null,{"$f":"L128+L129+L130+L133+L137+L139+L140+L141","v":42.212215250458868},{"$f":"M128+M129+M130+M133+M137+M139+M140+M141","v":42.608669213913167},{"$f":"N128+N129+N130+N133+N137+N139+N140+N141","v":32.934398456043304},{"$f":"ROW()","v":142}]
[null,"Total time for this leg of journey (following highway \"exit point\"; one way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Inbound and Outbound Legs, Combined (total time, minutes)",null,null,null,null,null,{"$f":"H118+H142","v":85.739731058191353},{"$f":"I118+I142","v":88.189731058191356},{"$f":"J118+J142","v":68.589600144450543},null,{"$f":"L118+L142","v":84.424430500917737},{"$f":"M118+M142","v":92.392338427826331},{"$f":"N118+N142","v":60.49537485162989},{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Value of time for trip (per hour)",null,null,null,null,null,{"$f":"$J$50","v":28.309942041013819},{"$f":"$J$50","v":28.309942041013819},{"$f":"$J$50","v":28.309942041013819},null,{"$f":"H147","v":28.309942041013819},{"$f":"I147","v":28.309942041013819},{"$f":"J147","v":28.309942041013819},{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Derived in Row \",O50, \".\")","v":"Derived in Row 50."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Time cost for this leg of journey",null,null,null,null,null,{"$f":"H147*H145/60","v":40.454780281158492},{"$f":"I147*I145/60","v":41.610769581166558},{"$f":"J147*J145/60","v":32.3627934117618},null,{"$f":"L147*L145/60","v":39.834178905443004},{"$f":"M147*M145/60","v":43.593695765424954},{"$f":"N147*N145/60","v":28.543675929984122},{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O147, \" and \",O119, \", divided by 60.\")","v":"Product of Rows 147 and 119, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Out-of-Pocket Cost Parameters",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Percent increase in cost to park after cordon toll",null,null,null,null,null,null,null,null,null,0.25,0,-0.1,{"$f":"ROW()","v":156}]
[null,"Komanoff assumptions, intended to reflect greater competition for off-street parking outside CBD, and less competition inside. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Parking",null,null,null,null,null,10,0,{"$f":"'Motor Vs'!R261","v":35},null,{"$f":"H158*(1+L156)","v":12.5},{"$f":"I158*(1+M156)","v":0},{"$f":"J158*(1+N156)","v":31.5},{"$f":"ROW()","v":158}]
[null,{"$f":"CONCATENATE(\"Park-n-Ride Off-street is based on Josef Szende observations, TK. Park-n-Ride On-street assumes no charge to park curbside in gateway districts. All Drive is from 'Motor Vs' worksheet, Row \",'Motor Vs'!O261, \", Work trips, 6-9 a.m., and assumes commuter pays to park in CBD lot or garage.\")","v":"Park-n-Ride Off-street is based on Josef Szende observations, TK. Park-n-Ride On-street assumes no charge to park curbside in gateway districts. All Drive is from 'Motor Vs' worksheet, Row 261, Work trips, 6-9 a.m., and assumes commuter pays to park in CBD lot or garage."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Distance driven inside cordon, miles, both ways",null,null,null,null,null,0,0,{"$f":"2*J107","v":2.5},null,{"$f":"H161","v":0},{"$f":"I161","v":0},{"$f":"J161","v":2.5},{"$f":"ROW()","v":161}]
[null,"Distance traveled outside cordon on inbound trip, miles",null,null,null,null,null,{"$f":"J35","v":0.75},{"$f":"J36+J43","v":2.1124999999999998},{"$f":"J96","v":5},null,{"$f":"H162*(1+L86)","v":0.9375},{"$f":"J36+J43*(1+M86)","v":2.7937500000000002},{"$f":"J162","v":5},{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"Park-n-Ride figures, Before, are Row \",O35, \" (Off-street), and sum of Rows \",O36, \" and \",O43, \" (On-street). Park-n-Ride, After, reflect percent additions from Row \",O86, \" (applied only to cruising portion of On-Street). All Drive figures are from Rows \",O96, \" and \",O107, \", above.\")","v":"Park-n-Ride figures, Before, are Row 35 (Off-street), and sum of Rows 36 and 43 (On-street). Park-n-Ride, After, reflect percent additions from Row 86 (applied only to cruising portion of On-Street). All Drive figures are from Rows 96 and 107, above."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Distance traveled outside cordon on outbound trip, miles",null,null,null,null,null,{"$f":"H162","v":0.75},{"$f":"J36","v":0.75},{"$f":"J162","v":5},null,{"$f":"L162","v":0.9375},{"$f":"J36*(1+M86)","v":1.125},{"$f":"N162","v":5},{"$f":"ROW()","v":165}]
[null,{"$f":"CONCATENATE(\"Same as Row \",O162, \" except that On-street Park-n-Ride excludes cruising.\")","v":"Same as Row 162 except that On-street Park-n-Ride excludes cruising."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"Total distance traveled outside cordon, miles",null,null,null,null,null,{"$f":"H162+H165","v":1.5},{"$f":"I162+I165","v":2.8624999999999998},{"$f":"J162+J165","v":10},null,{"$f":"L162+L165","v":1.875},{"$f":"M162+M165","v":3.9187500000000002},{"$f":"N162+N165","v":10},{"$f":"ROW()","v":167}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O162, \" and \",O165, \".\")","v":"Sum of Rows 162 and 165."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Gasoline cost, inside cordon",null,null,null,null,null,{"$f":"H161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0},{"$f":"I161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0},{"$f":"J161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0.93115931615161607},null,{"$f":"L161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0},{"$f":"M161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0},{"$f":"N161*('Motor Vs'!$V$277/100)/'Motor Vs'!$R246","v":0.93115931615161607},{"$f":"ROW()","v":169}]
[null,"Gasoline cost, outside cordon",null,null,null,null,null,{"$f":"H167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.30225222530051143},{"$f":"I167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.57679799661514275},{"$f":"J167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":2.0150148353367432},null,{"$f":"L167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.37781528162563938},{"$f":"M167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.78963393859758635},{"$f":"N167*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":2.0150148353367432},{"$f":"ROW()","v":170}]
[null,{"$f":"CONCATENATE(\"Both rows above reflect distances in Rows \",O161, \" & \",O165, \", fuel economy figures from 'Motor Vs' sheet, Rows \",'Motor Vs'!O246, \" & \",'Motor Vs'!O247, \", and per-gallon fuel cost from 'Motor Vs' tab, Row \",'Motor Vs'!O277, \". Note: we haven't changed fuel economies to reflect lesser traffic -- a minor omission.\")","v":"Both rows above reflect distances in Rows 161 & 165, fuel economy figures from 'Motor Vs' sheet, Rows 246 & 247, and per-gallon fuel cost from 'Motor Vs' tab, Row 277. Note: we haven't changed fuel economies to reflect lesser traffic -- a minor omission."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Tolls",null,null,null,null,null,0,0,0,null,{"$f":"H173","v":0},{"$f":"I173","v":0},{"$f":"2*'Policy Levers'!K34","v":24.48},{"$f":"ROW()","v":173}]
[null,{"$f":"CONCATENATE(\"We assume zero except for Drive to CBD, After, which assumes peak toll rate for E-ZPass drivers, from 'Policy Levers' worksheet, Row \",'Policy Levers'!O34, \", with one-way toll rate doubled to account for round-trip.\")","v":"We assume zero except for Drive to CBD, After, which assumes peak toll rate for E-ZPass drivers, from 'Policy Levers' worksheet, Row 34, with one-way toll rate doubled to account for round-trip."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"Subway Fare (both ways)",null,null,null,null,null,{"$f":"2*Transit!$H$24/(1+Transit!$H$33)","v":5.25},{"$f":"2*Transit!$H$24/(1+Transit!$H$33)","v":5.25},0,null,{"$f":"2*Transit!$H$24/(1+Transit!$H$33)","v":5.25},{"$f":"2*Transit!$H$24/(1+Transit!$H$33)","v":5.25},{"$f":"J176","v":0},{"$f":"ROW()","v":176}]
[null,{"$f":"CONCATENATE(\"Assumes pay-per-ride, bought in bulk to provide bonus rides. 'Before' price reflects current (2011) bonus, from Row \",Transit!O33, \" of 'Transit' tab, while 'After' price reflects prospective return to 2010 bonus, from Row \",Transit!O35, \" of same tab.\")","v":"Assumes pay-per-ride, bought in bulk to provide bonus rides. 'Before' price reflects current (2011) bonus, from Row 33 of 'Transit' tab, while 'After' price reflects prospective return to 2010 bonus, from Row 35 of same tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Other Costs (incremental costs for parking tkts, traffic tkts, damage to vehicle, insurance)",null,null,null,null,null,{"$f":"(H167+H161)*'Trip Price'!$L$22","v":0.12},{"$f":"(I167+I161)*'Trip Price'!$L$22","v":0.22899999999999998},{"$f":"(J167+J161)*'Trip Price'!$L$22","v":1},null,{"$f":"(L167+L161)*'Trip Price'!$L$22","v":0.15},{"$f":"(M167+M161)*'Trip Price'!$L$22","v":0.3135},{"$f":"(N167+N161)*'Trip Price'!$L$22","v":1},{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Product of per-mile 'other costs' as specified in 'Trip-Price (Hist.)' tab, times total distance as given by summing Rows \",O161, \" and \",O167, \".\")","v":"Product of per-mile 'other costs' as specified in 'Trip-Price (Hist.)' tab, times total distance as given by summing Rows 161 and 167."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Total Out-of-pocket cost for this leg of journey",null,null,null,null,null,{"$f":"H158+SUM(H169:H179)","v":15.672252225300511},{"$f":"I158+SUM(I169:I179)","v":6.0557979966151425},{"$f":"J158+SUM(J169:J179)","v":38.946174151488357},null,{"$f":"L158+SUM(L169:L179)","v":18.277815281625639},{"$f":"M158+SUM(M169:M179)","v":6.3531339385975869},{"$f":"N158+SUM(N169:N179)","v":59.926174151488361},{"$f":"ROW()","v":181}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O169,\" through \",O179,\", plus Row \",O158, \".\")","v":"Sum of Rows 169 through 179, plus Row 158."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":183}]
[null,"Discomfort / Inconvenience Cost of Switching to Park-n-Ride",null,null,null,null,null,{"$f":"$J$27","v":5},{"$f":"$J$27","v":5},0,null,{"$f":"H184","v":5},{"$f":"I184","v":5},{"$f":"J184","v":0},{"$f":"ROW()","v":184}]
[null,{"$f":"CONCATENATE(\"See Row \",O27, \".\")","v":"See Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Drive to CBD and park there",{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,"Total Cost for Journey",null,null,null,null,null,{"$f":"H149+H181+H184","v":61.127032506459003},{"$f":"I149+I181+I184","v":52.666567577781699},{"$f":"J149+J181+J184","v":71.30896756325015},null,{"$f":"L149+L181+L184","v":63.111994187068646},{"$f":"M149+M181+M184","v":54.946829704022541},{"$f":"N149+N181+N184","v":88.469850081472487},{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"Increase from \"Before\" Cost ",null,null,null,null,null,null,null,null,null,{"$f":"L190-H190","v":1.9849616806096435},{"$f":"M190-I190","v":2.2802621262408422},{"$f":"N190-J190","v":17.160882518222337},{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,"Distributional Comparison of Park-n-Ride (off street) to All Drive",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,"Mean costs being compared",null,null,null,null,null,{"$f":"H190","v":61.127032506459003},null,{"$f":"J190","v":71.30896756325015},null,{"$f":"L190","v":63.111994187068646},null,{"$f":"N190","v":88.469850081472487},{"$f":"ROW()","v":196}]
[null,"Mean of cost difference",null,null,null,null,null,{"$f":"H196-J196","v":-10.181935056791147},null,null,null,{"$f":"L196-N196","v":-25.357855894403841},null,null,{"$f":"ROW()","v":197}]
[null,"Standard Deviation ",null,null,null,"Assumes standard deviation's % of mean = ",0.25,{"$f":"$G$198*H196","v":15.281758126614751},null,{"$f":"$G$198*J196","v":17.827241890812537},null,{"$f":"$G$198*L196","v":15.777998546767162},null,{"$f":"$G$198*N196","v":22.117462520368122},{"$f":"ROW()","v":198}]
[null,"Standard Deviation of cost difference",null,null,null,null,null,{"$f":"(H198^2+J198^2)^0.5","v":23.48068748724997},null,null,null,{"$f":"(L198^2+N198^2)^0.5","v":27.168499893841677},null,null,{"$f":"ROW()","v":199}]
[null,"Share of trips for which park-n-ride cost is less than all-drive cost",null,null,null,null,null,{"$f":"NORMSDIST((-H197/H199))","v":0.6677214972410932},null,null,null,{"$f":"NORMSDIST((-L197/L199))","v":0.82468165319863873},null,null,{"$f":"ROW()","v":200}]
[null,"Uses mathematical formula for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,"Distributional Comparison of Park-n-Ride (on street) to All Drive",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Mean costs being compared",null,null,null,null,null,{"$f":"I190","v":52.666567577781699},null,{"$f":"J190","v":71.30896756325015},null,{"$f":"M190","v":54.946829704022541},null,{"$f":"N190","v":88.469850081472487},{"$f":"ROW()","v":205}]
[null,"Mean of cost difference",null,null,null,null,null,{"$f":"H205-J205","v":-18.642399985468451},null,null,null,{"$f":"L205-N205","v":-33.523020377449946},null,null,{"$f":"ROW()","v":206}]
[null,"Standard Deviation ",null,null,null,"Assumes standard deviation's % of mean = ",0.25,{"$f":"$G$198*H205","v":13.166641894445425},null,{"$f":"$G$198*J205","v":17.827241890812537},null,{"$f":"$G$198*L205","v":13.736707426005635},null,{"$f":"$G$198*N205","v":22.117462520368122},{"$f":"ROW()","v":207}]
[null,"Standard Deviation of cost difference",null,null,null,null,null,{"$f":"(H207^2+J207^2)^0.5","v":22.162378306718502},null,null,null,{"$f":"(L207^2+N207^2)^0.5","v":26.036114903102707},null,null,{"$f":"ROW()","v":208}]
[null,"Share of trips for which park-n-ride cost is less than all-drive cost",null,null,null,null,null,{"$f":"NORMSDIST((-H206/H208))","v":0.79987456051197015},null,null,null,{"$f":"NORMSDIST((-L206/L208))","v":0.90105014881828993},null,null,{"$f":"ROW()","v":209}]
[null,"Uses mathematical formula for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,"Trip Figures (for eventual estimation of numbers of trips affected rather than simply percents)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Percent of all auto work trips to CBD \"captured\" in period being studied",null,null,null,null,null,null,null,{"$f":"SUM('Weekday Hours'!P$41:P$43)/'Weekday Hours'!P$59","v":0.31687448930679396},null,null,null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Ratio of sum of percent of all inbound auto trips that are 6-9 a.m. work trips, to all work trips' share of all inbound auto trips. Mathematically, is ratio of sum of Rows \",'Weekday Hours'!$N$41, \"-\",'Weekday Hours'!$N$43, \" to Row \",'Weekday Hours'!$N$59, \" from Column P of worksheet 'Weekday Hours'.\")","v":"Ratio of sum of percent of all inbound auto trips that are 6-9 a.m. work trips, to all work trips' share of all inbound auto trips. Mathematically, is ratio of sum of Rows 41-43 to Row 59 from Column P of worksheet 'Weekday Hours'."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"Number of auto work trips to CBD \"captured\" in period being studied",null,null,null,null,null,null,null,{"$f":"ROUND(J214*'Motor Vs'!I85,-2)","v":71500},null,null,null,null,{"$f":"ROW()","v":217}]
[null,{"$f":"CONCATENATE(\"Product of percent in Row \",O49, \" and total number of 24-h work trips to CBD in Motor Vs worksheet, Row \",'Motor Vs'!O82, \".\")","v":"Product of percent in Row 49 and total number of 24-h work trips to CBD in Motor Vs worksheet, Row 82."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,"Park-and-Ride Scenario #2: LIRR Commuter from Nassau or Suffolk to Penn Station",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,"Results",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Estimated change in probability that an LIRR commuter who experiences costs and travel time as assumed here will find it less costly to drive across the Nassau-Queens line and park in an off-street lot and take the LIRR the rest of the way to the CBD rather than taking the LIRR all the way to the CBD:",null,null,null,null,null,null,null,{"$f":"L332-H332","v":1.6247375956635557E-2},null,"A negative result indicates that cordon pricing should be expected to cause a decrease in the number of commuters to the CBD who currently park-and-ride.",null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Estimated change in probability that an LIRR commuter who experiences costs and travel time as assumed here will find it less costly to drive across the Nassau-Queens line and park curbside and take the LIRR the rest of the way to the CBD rather than taking the LIRR all the way to the CBD:",null,null,null,null,null,null,null,{"$f":"L341-H341","v":2.2102805512956375E-2},null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,"The analysis considers whether a CBD worker who lives in Babylon, LI and who now takes the LIRR straight through to Penn Station, might be tempted by the stick of a cordon toll and the carrot of discounted intra-city LIRR fares to drive only to Rosedale, Queens, park there, and then catch the LIRR to Penn. It covers both directions of travel.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,"The Calculations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,"Time Parameters (in minutes)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Inbound",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,"A. Traveling from Home in Babylon to Park-n-Ride Target Area",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,"Distance from home in Babylon to Rosedale, miles",null,null,null,null,null,25,{"$f":"H247","v":25},2,null,{"$f":"H247","v":25},{"$f":"I247","v":25},{"$f":"J247","v":2},{"$f":"ROW()","v":247}]
[null,"Park-n-Ride distances are via Mapquest (\"Babylon, NY to Sunrise Hwy & 243rd St, Rosedale, NY 11422,\") approximate location of LIRR Rosedale station. All LIRR distances are Komanoff assumption for trip from home to parking lot for LIRR Babylon station.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Speed to drive that distance, mph",null,null,null,null,null,30,{"$f":"H250","v":30},20,null,{"$f":"H250*(1+'Motor Vs'!$I$1018)","v":33.015491836846294},{"$f":"I250*(1+'Motor Vs'!$I$1018)","v":33.015491836846294},{"$f":"J250","v":20},{"$f":"ROW()","v":250}]
[null,{"$f":"CONCATENATE(\"Baseline speeds are Komanoff assumption, w/ Park-n-Ride fig. reflecting morning peak speeds on Southern State Pkwy and local roads,\" & \" and All LIRR fig. reflecting just local roads. After Park-n-Ride speed increases baseline speed by morning peak non-cordon speed improvement in 'Motor Vs' worksheet, Row \",'Motor Vs'!O1018, \".\")","v":"Baseline speeds are Komanoff assumption, w/ Park-n-Ride fig. reflecting morning peak speeds on Southern State Pkwy and local roads, and All LIRR fig. reflecting just local roads. After Park-n-Ride speed increases baseline speed by morning peak non-cordon speed improvement in 'Motor Vs' worksheet, Row 1018."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Time to drive distance from home to park-n-ride target area, minutes",null,null,null,null,null,{"$f":"H247*60/H250","v":50},{"$f":"I247*60/I250","v":50},{"$f":"J247*60/J250","v":6},null,{"$f":"L247*60/L250","v":45.433216849005241},{"$f":"M247*60/M250","v":45.433216849005241},{"$f":"N247*60/N250","v":6},{"$f":"ROW()","v":254}]
[null,{"$f":"CONCATENATE(\"Algebra on Rows \",O247, \" and \",O250, \".\")","v":"Algebra on Rows 247 and 250."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"B. Parking near LIRR Station",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,"Percent increase in distance from highway exit to parking lot or curbside space after implementing cordon toll",null,null,null,null,null,null,null,null,null,0.25,0.5,-0.1,{"$f":"ROW()","v":257}]
[null,"Komanoff assumptions, intended to reflect (i) greater competition for both off- and on-street parking from switches to Park-n-Ride, and (ii) lesser demand for parking in CBD, after tolling.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Time to park auto in (park-n-ride) neighborhood, minutes",null,null,null,null,null,2,{"$f":"J37","v":5.45},0,null,{"$f":"H259*(1+L86)","v":2.5},{"$f":"I259*(1+M86)","v":8.1750000000000007},{"$f":"J259*(1+N86)","v":0},{"$f":"ROW()","v":259}]
[null,{"$f":"CONCATENATE(\"Komanoff assumptions, except that 'On-street Baseline', which reflects cruising, is from Row \",O37, \". Park-n-Ride After figures incorporate percents in Row \",O257, \".\")","v":"Komanoff assumptions, except that 'On-street Baseline', which reflects cruising, is from Row 37. Park-n-Ride After figures incorporate percents in Row 257."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,"Time to walk from parking space to LIRR station, minutes",null,null,null,null,null,{"$f":"H90","v":5},{"$f":"I90","v":5},2,null,{"$f":"H261*(1+L257)","v":6.25},{"$f":"I261*(1+M257)","v":7.5},{"$f":"J261*(1+N86)","v":1.8},{"$f":"ROW()","v":261}]
[null,{"$f":"CONCATENATE(\"Assumed to be same as for walk to subway station in Scenario #1, above (Row \",O90, \").\")","v":"Assumed to be same as for walk to subway station in Scenario #1, above (Row 90)."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"C. Traveling from LIRR Station to Penn Station ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Time to access train (includes wait time)",null,null,null,null,null,7,{"$f":"H264","v":7},3,null,{"$f":"H264","v":7},{"$f":"I264","v":7},{"$f":"J264","v":3},{"$f":"ROW()","v":264}]
[null,"Park-n-Ride figures are one-half of 14, which is the average interval, in minutes, between departures of the 8 westbound trains leaving Rosedale on weekdays between 6:53 and 8:45 a.m. All-LIRR figure is Komanoff estimate, and assumes that commuters are adept at keying arrival at Babylon platform to LIRR schedule.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"LIRR travel time, minutes",null,null,null,null,null,{"$f":"AVERAGE(29,37,34,33,34,36,34,32)","v":33.625},{"$f":"H268","v":33.625},{"$f":"60+AVERAGE(5,7,10,10,2,13,11,13,11,8)","v":69},null,{"$f":"H268","v":33.625},{"$f":"I268","v":33.625},{"$f":"J268","v":69},{"$f":"ROW()","v":268}]
[null,{"$f":"CONCATENATE(\"Baseline All-Drive is Komanoff assumption. After All-Drive incorporates Row \",O257, \" change reflecting less competition for off-street CBD parking.\")","v":"Baseline All-Drive is Komanoff assumption. After All-Drive incorporates Row 257 change reflecting less competition for off-street CBD parking."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,"D. Inbound Trip Legs, Combined",null,null,null,null,null,{"$f":"SUM(H254:H268)","v":97.625},{"$f":"SUM(I254:I268)","v":101.075},{"$f":"SUM(J254:J268)","v":80},null,{"$f":"SUM(L254:L268)","v":95.058216849005248},{"$f":"SUM(M254:M268)","v":102.23321684900525},{"$f":"SUM(N254:N268)","v":79.7},{"$f":"ROW()","v":270}]
[null,{"$f":"CONCATENATE(\"Total time for inbound journey (home to Penn Station) is sum of 5 'time' entries in Rows \",O254, \"-\",O268, \".\")","v":"Total time for inbound journey (home to Penn Station) is sum of 5 'time' entries in Rows 254-268."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":273}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"Outbound (explanations for entries and calculations are mostly omitted, for brevity; they should be evident from Inbound section, above)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,"A. Traveling from Penn Station to LIRR Station ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]
[null,"LIRR travel time, minutes",null,null,null,null,null,{"$f":"H268","v":33.625},{"$f":"I268","v":33.625},{"$f":"J268","v":69},null,{"$f":"H280","v":33.625},{"$f":"I280","v":33.625},{"$f":"J280","v":69},{"$f":"ROW()","v":280}]
[null,"B. Transition from LIRR Station to Auto",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":281}]
[null,"Time to walk from LIRR station to parking space, minutes",null,null,null,null,null,{"$f":"H261","v":5},{"$f":"I261","v":5},{"$f":"J261","v":2},null,{"$f":"L261","v":6.25},{"$f":"M261","v":7.5},{"$f":"N261","v":1.8},{"$f":"ROW()","v":282}]
[null,"C. Final Leg, from LIRR Station to Home, via Auto",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":283}]
[null,"Speed to drive that distance, mph",null,null,null,null,null,{"$f":"H250","v":30},{"$f":"I250","v":30},{"$f":"J250","v":20},null,{"$f":"H284*(1+'Motor Vs'!$L$1018)","v":31.825400764402055},{"$f":"I284*(1+'Motor Vs'!$L$1018)","v":31.825400764402055},{"$f":"J284","v":20},{"$f":"ROW()","v":284}]
[null,{"$f":"CONCATENATE(\"Same assumptions as in Row \",O251, \", except that afternoon peak speed improvement is used.\")","v":"Same assumptions as in Row 251, except that afternoon peak speed improvement is used."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":285}]
[null,"Time to drive from park-n-ride target area to home, minutes",null,null,null,null,null,{"$f":"H247*60/H284","v":50},{"$f":"I247*60/I284","v":50},{"$f":"J247*60/J284","v":6},null,{"$f":"L247*60/L284","v":47.132163742547689},{"$f":"M247*60/M284","v":47.132163742547689},{"$f":"N247*60/N284","v":6},{"$f":"ROW()","v":286}]
[null,"D. Outbound Trip Legs, Combined",null,null,null,null,null,{"$f":"H280+H282+H286","v":88.625},{"$f":"I280+I282+I286","v":88.625},{"$f":"J280+J282+J286","v":77},null,{"$f":"L280+L282+L286","v":87.007163742547689},{"$f":"M280+M282+M286","v":88.257163742547689},{"$f":"N280+N282+N286","v":76.8},{"$f":"ROW()","v":287}]
[null,"Total time for this leg of journey (following highway \"exit point\"; one way)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":288}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":289}]
[null,"Inbound and Outbound Legs, Combined (total time, minutes)",null,null,null,null,null,{"$f":"H270+H287","v":186.25},{"$f":"I270+I287","v":189.7},{"$f":"J270+J287","v":157},null,{"$f":"L270+L287","v":182.06538059155292},{"$f":"M270+M287","v":190.49038059155293},{"$f":"N270+N287","v":156.5},{"$f":"ROW()","v":290}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":291}]
[null,"Value of time for trip (per hour)",null,null,null,null,null,{"$f":"$J$50","v":28.309942041013819},{"$f":"$J$50","v":28.309942041013819},{"$f":"$J$50","v":28.309942041013819},null,{"$f":"H292","v":28.309942041013819},{"$f":"I292","v":28.309942041013819},{"$f":"J292","v":28.309942041013819},{"$f":"ROW()","v":292}]
[null,{"$f":"CONCATENATE(\"Copied from Row \",O50, \".\")","v":"Copied from Row 50."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":293}]
[null,"Time cost for this leg of journey",null,null,null,null,null,{"$f":"H292*H290/60","v":87.878778418980389},{"$f":"I292*I290/60","v":89.506600086338693},{"$f":"J292*J290/60","v":74.077681673986163},null,{"$f":"L292*L290/60","v":85.904339537033096},{"$f":"M292*M290/60","v":89.879527231958789},{"$f":"N292*N290/60","v":73.841765490311047},{"$f":"ROW()","v":294}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O292, \" and \",O271, \", divided by 60.\")","v":"Product of Rows 292 and 271, divided by 60."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":295}]
[null,null,null,null,null,null,null,"Baseline (before Cordon Toll)",null,null,null,"After (with Cordon Toll)",null,null,{"$f":"ROW()","v":296}]
[null,null,null,null,null,null,null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",null,"Park-n-Ride\noff-street\n(lot or garage)","Park-n-Ride\non-street\n(curbside)","Take LIRR\nfull distance\nto CBD",{"$f":"ROW()","v":297}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":298}]
[null,"Out-of-Pocket Cost Parameters",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":299}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":300}]
[null,"Percent increase in cost to park after cordon toll",null,null,null,null,null,null,null,null,null,0.25,0,-0.1,{"$f":"ROW()","v":301}]
[null,"Komanoff assumptions, intended to reflect greater competition for off-street parking outside CBD, and less competition inside. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":302}]
[null,"Parking",null,null,null,null,null,10,0,{"$f":"25*1.02^8/weekday_per_yr","v":0.11716593810022656},null,{"$f":"H303*(1+L301)","v":12.5},{"$f":"I303*(1+M301)","v":0},{"$f":"J303","v":0.11716593810022656},{"$f":"ROW()","v":303}]
[null,"Park-n-Ride Off-street is based on Josef Szende observations, TK. Park-n-Ride On-street assumes no charge for curbside space in gateway districts. LIRR figure amortizes Babylon residents' annual station parking fee ($25, per Village Clerk, 631-669-1500, 6-April-2011, but increased by 17% to cover assumed 2% annual increase to 2019) over wkdays in yr. ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":304}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":305}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":306}]
[null,"Distance driven, both ways, miles",null,null,null,null,null,{"$f":"2*H247","v":50},{"$f":"2*I247","v":50},{"$f":"2*J247","v":4},null,{"$f":"2*L247","v":50},{"$f":"2*M247","v":50},{"$f":"2*N247","v":4},{"$f":"ROW()","v":307}]
[null,"Gasoline cost",null,null,null,null,null,{"$f":"H307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":10.075074176683716},{"$f":"I307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":10.075074176683716},{"$f":"J307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.80600593413469723},null,{"$f":"L307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":10.075074176683716},{"$f":"M307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":10.075074176683716},{"$f":"N307*('Motor Vs'!$V$277/100)/'Motor Vs'!$R247","v":0.80600593413469723},{"$f":"ROW()","v":308}]
[null,{"$f":"CONCATENATE(\"Figures reflect non-cordon mpg figures from 'Motor Vs' sheet, Row \",'Motor Vs'!O247, \" and per-gallon fuel cost from 'Motor Vs' tab, Row \",'Motor Vs'!O277, \". Note: we haven't changed fuel economies to reflect lesser traffic -- a minor oversight.\")","v":"Figures reflect non-cordon mpg figures from 'Motor Vs' sheet, Row 247 and per-gallon fuel cost from 'Motor Vs' tab, Row 277. Note: we haven't changed fuel economies to reflect lesser traffic -- a minor oversight."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":309}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":310}]
[null,"LIRR Fare (both ways)",null,null,null,null,null,{"$f":"193*12/weekday_per_yr","v":9.2639999999999993},{"$f":"193*12/weekday_per_yr","v":9.2639999999999993},{"$f":"299*12/weekday_per_yr","v":14.352},null,{"$f":"2*Transit!$H$24","v":5.5},{"$f":"2*Transit!$H$24","v":5.5},{"$f":"J311","v":14.352},{"$f":"ROW()","v":311}]
[null,{"$f":"CONCATENATE(\"Baseline Park-n-Ride and all All Drive figures amortize LIRR monthly fares over number of weekdays in average month. After Park-n-Ride figures assume in-city one-way LIRR fare is reduced to current subway fare shown in Row \",Transit!O24, \" of 'Transit' tab.\")","v":"Baseline Park-n-Ride and all All Drive figures amortize LIRR monthly fares over number of weekdays in average month. After Park-n-Ride figures assume in-city one-way LIRR fare is reduced to current subway fare shown in Row 24 of 'Transit' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":312}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":313}]
[null,"Other Costs (incremental costs for parking tkts, traffic tkts, damage to vehicle, insurance)",null,null,null,null,null,{"$f":"H307*'Trip Price'!$L$22","v":4},{"$f":"I307*'Trip Price'!$L$22","v":4},{"$f":"J307*'Trip Price'!$L$22","v":0.32},null,{"$f":"L307*'Trip Price'!$L$22","v":4},{"$f":"M307*'Trip Price'!$L$22","v":4},{"$f":"N307*'Trip Price'!$L$22","v":0.32},{"$f":"ROW()","v":314}]
[null,{"$f":"CONCATENATE(\"Product of per-mile 'other costs' as specified in 'Trip-Price (Hist.)' tab, times total distance driven from Row \",O307, \".\")","v":"Product of per-mile 'other costs' as specified in 'Trip-Price (Hist.)' tab, times total distance driven from Row 307."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":315}]
[null,"Total Out-of-pocket cost for this leg of journey",null,null,null,null,null,{"$f":"H303+SUM(H308:H314)","v":33.339074176683717},{"$f":"I303+SUM(I308:I314)","v":23.339074176683717},{"$f":"J303+SUM(J308:J314)","v":15.595171872234925},null,{"$f":"L303+SUM(L308:L314)","v":32.075074176683714},{"$f":"M303+SUM(M308:M314)","v":19.575074176683714},{"$f":"N303+SUM(N308:N314)","v":15.595171872234925},{"$f":"ROW()","v":316}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O308,\" through \",O314,\", plus Row \",O303, \".\")","v":"Sum of Rows 308 through 314, plus Row 303."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":317}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":318}]
[null,"Discomfort / Inconvenience Cost of Switching to Park-n-Ride",null,null,null,null,null,{"$f":"$J$27","v":5},{"$f":"$J$27","v":5},0,null,{"$f":"H319","v":5},{"$f":"I319","v":5},{"$f":"J319","v":0},{"$f":"ROW()","v":319}]
[null,{"$f":"CONCATENATE(\"See Row \",O27, \".\")","v":"See Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":320}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":321}]
[null,"Total Cost for Journey",null,null,null,null,null,{"$f":"H294+H316+H319","v":126.21785259566411},{"$f":"I294+I316+I319","v":117.8456742630224},{"$f":"J294+J316+J319","v":89.672853546221091},null,{"$f":"L294+L316+L319","v":122.97941371371681},{"$f":"M294+M316+M319","v":114.4546014086425},{"$f":"N294+N316+N319","v":89.436937362545976},{"$f":"ROW()","v":322}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":323}]
[null,"Increase from \"Before\" Cost ",null,null,null,null,null,null,null,null,null,{"$f":"L322-H322","v":-3.2384388819473031},{"$f":"M322-I322","v":-3.3910728543798996},{"$f":"N322-J322","v":-0.23591618367511558},{"$f":"ROW()","v":324}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":325}]
[null,"Distributional Comparison of Park-n-Ride (off street) to All Drive",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":326}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":327}]
[null,"Mean costs being compared",null,null,null,null,null,{"$f":"H322","v":126.21785259566411},null,{"$f":"J322","v":89.672853546221091},null,{"$f":"L322","v":122.97941371371681},null,{"$f":"N322","v":89.436937362545976},{"$f":"ROW()","v":328}]
[null,"Mean of cost difference",null,null,null,null,null,{"$f":"H328-J328","v":36.544999049443021},null,null,null,{"$f":"L328-N328","v":33.542476351170833},null,null,{"$f":"ROW()","v":329}]
[null,"Standard Deviation ",null,null,null,"Assumes standard deviation's % of mean = ",0.25,{"$f":"$G$198*H328","v":31.554463148916028},null,{"$f":"$G$198*J328","v":22.418213386555273},null,{"$f":"$G$198*L328","v":30.744853428429202},null,{"$f":"$G$198*N328","v":22.359234340636494},{"$f":"ROW()","v":330}]
[null,"Standard Deviation of cost difference",null,null,null,null,null,{"$f":"(H330^2+J330^2)^0.5","v":38.707369273323465},null,null,null,{"$f":"(L330^2+N330^2)^0.5","v":38.015541198766236},null,null,{"$f":"ROW()","v":331}]
[null,"Share of trips for which park-n-ride cost is less than all-drive cost",null,null,null,null,null,{"$f":"NORMSDIST((-H329/H331))","v":0.17255022098538542},null,null,null,{"$f":"NORMSDIST((-L329/L331))","v":0.18879759694202097},null,null,{"$f":"ROW()","v":332}]
[null,"Uses mathematical formula for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":333}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":334}]
[null,"Distributional Comparison of Park-n-Ride (on street) to All Drive",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":335}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":336}]
[null,"Mean costs being compared",null,null,null,null,null,{"$f":"I322","v":117.8456742630224},null,{"$f":"J322","v":89.672853546221091},null,{"$f":"M322","v":114.4546014086425},null,{"$f":"N322","v":89.436937362545976},{"$f":"ROW()","v":337}]
[null,"Mean of cost difference",null,null,null,null,null,{"$f":"H337-J337","v":28.172820716801311},null,null,null,{"$f":"L337-N337","v":25.017664046096527},null,null,{"$f":"ROW()","v":338}]
[null,"Standard Deviation ",null,null,null,"Assumes standard deviation's % of mean = ",0.25,{"$f":"$G$198*H337","v":29.461418565755601},null,{"$f":"$G$198*J337","v":22.418213386555273},null,{"$f":"$G$198*L337","v":28.613650352160626},null,{"$f":"$G$198*N337","v":22.359234340636494},{"$f":"ROW()","v":339}]
[null,"Standard Deviation of cost difference",null,null,null,null,null,{"$f":"(H339^2+J339^2)^0.5","v":37.020959946384089},null,null,null,{"$f":"(L339^2+N339^2)^0.5","v":36.31358350225436},null,null,{"$f":"ROW()","v":340}]
[null,"Share of trips for which park-n-ride cost is less than all-drive cost",null,null,null,null,null,{"$f":"NORMSDIST((-H338/H340))","v":0.2233295807315763},null,null,null,{"$f":"NORMSDIST((-L338/L340))","v":0.24543238624453267},null,null,{"$f":"ROW()","v":341}]
[null,"Uses mathematical formula for probability that observation in one distribution will be less than observation in other.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":342}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":343}]
[null,"Trip Figures (for eventual estimation of numbers of trips affected rather than simply percents)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":344}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":345}]
[null,"Percent of all LIRR work trips to CBD \"captured\" in period being studied",null,null,null,null,null,null,null,"TK",null,null,null,null,{"$f":"ROW()","v":346}]
[null,"TK",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":347}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":348}]
[null,"Number of work trips to CBD \"captured\" in period being studied",null,null,null,null,null,null,null,"TK",null,null,null,null,{"$f":"ROW()","v":349}]
[null,"TK",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":350}]

{"sheet":"Parking Placards","index":58,"n_rows":118,"n_cols":16,"rows_kept":118,"cut":false,"hidden":false,"merged":[[70,13,70,15],[64,13,68,15],[115,13,116,15],[5,1,6,9],[67,1,68,9],[44,5,45,5],[44,6,45,6],[56,1,57,8],[53,1,55,8]]}
[null,"Parking Placards",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This new (May 2017) worksheet addresses traffic impacts of free-parking privileges granted via NYPD \"parking placards.\"",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"It begins by examining impacts on VMT and travel speeds from Mayor de Blasio's May 2017 decision granting of tens of thousands of parking permits to public school employees.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Sources re pending issuance of parking placards",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"De Blasio grants thousands of parking permits to DOE workers",null,null,null,null,null,null,"NY Post, May 11, 2017",null,null,{"$f":"ROW()","v":10}]
[null,"The Sun Will Shine On Your Parking Space Once More",null,null,null,null,null,null,"CSA News, May 9, 2017",null,null,{"$f":"ROW()","v":11}]
[null,"Reversing Bloomberg Reforms, City Will Reissue Tens of Thousands of Teacher Parking Placards",null,null,null,null,null,null,"Streetsblog, May 11, 2017",null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"1. Increase in Parking Permits (source is press accounts linked above)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Current number",null,null,null,null,11000,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Intended number",null,null,null,null,63000,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Increase, rounded",null,null,null,null,{"$f":"ROUND(G16-G15,-4)","v":50000},null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"2. Divide New Permits into two groups: (a) schools within Manhattan CBD, and (b) all other",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Begin with School Staffing Data (may or may not be relevant, it's included for possible later use)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"http://schools.nyc.gov/AboutUs/schools/data/stats/default.htm",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Headcount Actuals (as of 12/31/2015)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Filled Pedagogic Positions",null,null,null,null,92624,{"$f":"G24/$G$29","v":0.66175125743026975},null,null,null,{"$f":"ROW()","v":24}]
[null,"Filled Non-Pedagogic Positions (Includes Custodians and Hourly Staff)",null,null,null,null,24092,0.17212505715592136,null,null,null,{"$f":"ROW()","v":25}]
[null,"UFT Paraprofessionals/Part-Year Positions",null,null,null,null,22519,0.16088677411979882,null,null,null,{"$f":"ROW()","v":26}]
[null,"Additional Full-Time Equivalent Positions Per Diem",null,null,null,null,637,4.551040237768633E-3,null,null,null,{"$f":"ROW()","v":27}]
[null,"Hourly Administrative Positions",null,null,null,"sum (check)",96,6.8587105624142656E-4,null,null,null,{"$f":"ROW()","v":28}]
[null,"GRAND TOTAL",null,null,null,{"$f":"SUM(G24:G28)","v":139968},139968,1,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Continue with borough enrollment data",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Takeaway: Manhattan schools comprise \",ROUND(100*H37,1), \"% of students under the aegis of the NYCDOE\")","v":"Takeaway: Manhattan schools comprise 14.1% of students under the aegis of the NYCDOE"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"http://schools.nyc.gov/AboutUs/schools/data/stats/default.htm",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Brooklyn",null,null,null,null,261159,{"$f":"G34/$G$39","v":0.29392684664446489},null,null,null,{"$f":"ROW()","v":34}]
[null,"Queens",null,null,null,null,265441,0.29874611290498665,null,null,null,{"$f":"ROW()","v":35}]
[null,"Bronx",null,null,null,null,175558,0.19758541479791608,null,null,null,{"$f":"ROW()","v":36}]
[null,"Manhattan",null,null,null,null,124997,0.14068048219673907,null,null,null,{"$f":"ROW()","v":37}]
[null,"Staten Island",null,null,null,"sum (check)",61362,6.9061143455893356E-2,null,null,null,{"$f":"ROW()","v":38}]
[null,"Total 2015-16 Register",null,null,null,{"$f":"SUM(G34:G38)","v":888517},888517,1,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Continue by estimating share of Manhattan students who attend schools within the CBD",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,{"$f":"CONCATENATE(\"Takeaway: CBD schools comprise \",ROUND(100*G53,0), \"% of Manhattan students\")","v":"Takeaway: CBD schools comprise 46% of Manhattan students"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"(We use number of schools as proxy for number of students.)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"From NYC DOE map (referenced below), District 1 is entirely in CBD, District 2 is partially (mostly in CBD), Districts 3-6 fall entirely out of CBD.)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,"% schools in CBD","% students in CBD",null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,"Students","Students, %",null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"District 1",null,11328,{"$f":"D47/$D$53","v":8.0702154337170859E-2},1,{"$f":"E47*F47","v":8.0702154337170859E-2},null,null,null,null,{"$f":"ROW()","v":47}]
[null,"District 2",null,60395,0.43026188305026786,{"$f":"80/91","v":0.87912087912087911},0.37825220487935635,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"District 3",null,21917,0.15613957597173145,0,0,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"District 4",null,12961,9.2335860025076946E-2,0,0,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"District 5",null,11276,8.0331699532657022E-2,0,0,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"District 6",null,22491,0.16022882708309585,0,0,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"All Manhattan",null,{"$f":"SUM(D47:D52)","v":140368},1,null,{"$f":"SUM(G47:G52)","v":0.45895435921652722},null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Numbers of students are from table, \"2016-17 Attendance & Enrollment (Unaudited) by District* As of December 31, 2016,\" downloaded 13-May-2017 from http://schools.nyc.gov/NR/rdonlyres/B7CC89D2-F7B0-4DFA-92A0-3AA5BBFB597D/207586/201617AttendanceEnrollmentUnauditedbyDistrictAsofD.pdf",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Student percents are eyeballed from NYC DOE map, downloaded 13-May-2017 from http://schools.nyc.gov/NR/rdonlyres/DA412AEB-A511-4EFA-A3E4-38F98FBD5E45/0/citywideschooldistrictmap0828.pdf. For District 2, 80 of 91 schools appear to be in CBD.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Summary of foregoing calculations",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,{"$f":"CONCATENATE(\"Manhattan schools comprise \",ROUND(100*H37,1), \"% of students under the aegis of the NYCDOE\")","v":"Manhattan schools comprise 14.1% of students under the aegis of the NYCDOE"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,{"$f":"CONCATENATE(\"CBD schools comprise \",ROUND(100*G53,0), \"% of Manhattan students\")","v":"CBD schools comprise 46% of Manhattan students"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"Multiply above two percents to conclude that \",ROUND(100*G53*H37,1), \"% of NYCDOE schools are within Manhattan CBD.\")","v":"Multiply above two percents to conclude that 6.5% of NYCDOE schools are within Manhattan CBD."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,"CBD Schools","Non-CBD Schools",null,{"$f":"ROW()","v":65},null,"These columns are merely data entry + placeholder for a forthcoming analysis of total cost of parking placards, citywide. Do not quote. -- CK, 5-Oct-2017"]
[null,"Percent of permits allocable to schools in or outside Manhattan CBD",null,null,null,null,null,null,{"$f":"H37*G53","v":6.4565920560876441E-2},{"$f":"1-I66","v":0.9354340794391236},null,{"$f":"ROW()","v":66}]
[null,"Number of permits allocable to schools in Manhattan CBD",null,null,null,null,null,null,{"$f":"ROUND(I66*$G$17,-2)","v":3200},{"$f":"ROUND(J66*$G$17,-2)","v":46800},null,{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"Manhattan % = product of Manhattan share of staff positions in Row \",L37,\" and CBD share of Manhattan schools in Row \",L53,\". Manhattan number = product of that percent (in Row \",L66,\") and citywide increase in parking permits in Row \",L17,\".\")","v":"Manhattan % = product of Manhattan share of staff positions in Row 37 and CBD share of Manhattan schools in Row 53. Manhattan number = product of that percent (in Row 66) and citywide increase in parking permits in Row 17."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"3. Assumptions on Vehicle Miles Traveled by NYC School Personnel",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71},null,"NYC Non-School Personnel"]
[null,null,null,null,null,null,null,null,"CBD Schools","Non-CBD Schools","All Schools",{"$f":"ROW()","v":72},null,"CBD","Non-CBD","All Schools"]
[null,"Increase in permits for schools outside CBD",null,null,null,null,null,null,{"$f":"I67","v":3200},{"$f":"J67","v":46800},{"$f":"I73+J73","v":50000},{"$f":"ROW()","v":73},null,{"$f":"0.25*P73","v":27500},{"$f":"P73-N73","v":82500},110000]
[null,{"$f":"CONCATENATE(\"Copied from Row \",L67, \".\")","v":"Copied from Row 67."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"Assumed one-way miles driven to schools by personnel",null,null,null,null,null,null,7,7,null,{"$f":"ROW()","v":75},null,10,10]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Assumed share of miles driven in CBD",null,null,null,null,null,null,0.2,0.02,null,{"$f":"ROW()","v":77},null,0.15,1.4999999999999999E-2]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Assumed propensity to replace non-driving trip with driving trip, due to provision of permit",null,null,null,null,null,null,0.5,0.25,null,{"$f":"ROW()","v":79},null,0.5,0.25]
[null,"Komanoff assumption.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"4. Impacts of Parking Permits on Vehicle Miles Traveled ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,null,null,null,null,null,null,null,"CBD Travel","Non-CBD Travel","All Travel",{"$f":"ROW()","v":83},null,"CBD Travel","Non-CBD Travel","All Travel"]
[null,"Increased daily miles driven to and from CBD schools",null,null,null,null,null,null,{"$f":"ROUND(2*I73*I75*I77*I79,-2)","v":4500},{"$f":"ROUND(2*I73*I75*(1-I77)*I79,-2)","v":17900},{"$f":"I84+J84","v":22400},{"$f":"ROW()","v":84},null,{"$f":"ROUND(2*N73*N75*N77*N79,-2)","v":41300},{"$f":"ROUND(2*N73*N75*(1-N77)*N79,-2)","v":233800},{"$f":"N84+O84","v":275100}]
[null,{"$f":"CONCATENATE(\"Twice product of Cells I\",L73,\", I\",L75,\", I\",L77,\" and I\",L79, \", except complement of Cell I\",L77, \" is used for non-CBD travel column.\")","v":"Twice product of Cells I73, I75, I77 and I79, except complement of Cell I77 is used for non-CBD travel column."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Increased daily miles driven to and from non-CBD schools",null,null,null,null,null,null,{"$f":"ROUND(2*J73*J75*J77*J79,-2)","v":3300},{"$f":"ROUND(2*J73*J75*(1-J77)*J79,-2)","v":160500},{"$f":"I86+J86","v":163800},{"$f":"ROW()","v":86},null,{"$f":"ROUND(2*O73*O75*O77*O79,-2)","v":6200},{"$f":"ROUND(2*O73*O75*(1-O77)*O79,-2)","v":406300},{"$f":"N86+O86","v":412500}]
[null,{"$f":"CONCATENATE(\"Twice product of Cells J\",L73,\", J\",L75,\", J\",L77,\" and J\",L79, \", except complement of Cell J\",L77, \" is used for non-CBD travel column.\")","v":"Twice product of Cells J73, J75, J77 and J79, except complement of Cell J77 is used for non-CBD travel column."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Increased daily miles driven, total (round trips, i.e., twice one-way distances)",null,null,null,null,null,null,{"$f":"I84+I86","v":7800},{"$f":"J84+J86","v":178400},{"$f":"I88+J88","v":186200},{"$f":"ROW()","v":88},null,{"$f":"N84+N86","v":47500},{"$f":"O84+O86","v":640100},{"$f":"N88+O88","v":687600}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",L84, \" and \",L86, \".\")","v":"Sum of Rows 84 and 86."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Baseline Daily VMT ",null,null,null,null,null,null,{"$f":"ROUND('Motor Vs'!N164,-2)","v":3236700},{"$f":"ROUND('Motor Vs'!N184,-2)","v":57783200},{"$f":"I90+J90","v":61019900},{"$f":"ROW()","v":90},null,{"$f":"I90","v":3236700},{"$f":"J90","v":57783200},{"$f":"K90","v":61019900}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' tab, Rows \",'Motor Vs'!O164, \" and \",'Motor Vs'!O184, \", respectively. Conservatively reflects 24h rather than supposed 'commuting' hours.\")","v":"From 'Motor Vs' tab, Rows 164 and 184, respectively. Conservatively reflects 24h rather than supposed 'commuting' hours."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Percent VMT increase attributable to increase in parking permits",null,null,null,null,null,null,{"$f":"I88/I90","v":2.4098618963759384E-3},{"$f":"J88/J90","v":3.0874025668360355E-3},{"$f":"K88/K90","v":3.0514635389438526E-3},{"$f":"ROW()","v":92},null,{"$f":"N88/N90","v":1.4675441035622702E-2},{"$f":"O88/O90","v":1.1077614254662254E-2},{"$f":"P88/P90","v":1.1268455044993518E-2}]
[null,{"$f":"CONCATENATE(\"Row \",L88, \" divided by Row \",L90, \".\")","v":"Row 88 divided by Row 90."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Elasticity of vehicle speeds w/r/t vehicle volumes",null,null,null,null,null,null,2,1,null,{"$f":"ROW()","v":94},null,2,1]
[null,"Reduced (roughly in half) from formulas displayed and explained in 'Speed-Vol., Cordon' tab and 'Speed-Vol., non-Cordon' tab, respectively.",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Reduction in average speed (alternatively: increase in travel durations)",null,null,null,null,null,null,{"$f":"1-1/(1+I92)^I94","v":4.8023573019869703E-3},{"$f":"1-1/(1+J92)^J94","v":3.0778998509356503E-3},null,{"$f":"ROW()","v":96},null,{"$f":"1-1/(1+N92)^N94","v":2.8717190974774431E-2},{"$f":"1-1/(1+O92)^O94","v":1.0956245196693803E-2}]
[null,{"$f":"CONCATENATE(\"Complement of reciprocal of sum of one and Row \",L92, \", exponentiated to power given in Row \",L94, \".\")","v":"Complement of reciprocal of sum of one and Row 92, exponentiated to power given in Row 94."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,"Baseline wghtd average speed (24h, weekdays)",null,null,null,null,null,null,{"$f":"ROUND('Motor Vs'!K205,1)","v":8},{"$f":"ROUND('Motor Vs'!K221,1)","v":20.9},null,{"$f":"ROW()","v":98},null,{"$f":"I98","v":8},{"$f":"J98","v":20.9}]
[null,{"$f":"CONCATENATE(\"From 'Motor Vs' tab, Rows \",'Motor Vs'!O205, \" and \",'Motor Vs'!O221, \", respectively. Conservatively reflects 24h rather than supposed 'commuting' hours. Both figures are rounded.\")","v":"From 'Motor Vs' tab, Rows 205 and 221, respectively. Conservatively reflects 24h rather than supposed 'commuting' hours. Both figures are rounded."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"New (with increased placards) average speed (24h, weekdays)",null,null,null,null,null,null,{"$f":"I98*(1-I96)","v":7.9615811415841042},{"$f":"J98*(1-J96)","v":20.835671893115443},null,{"$f":"ROW()","v":100},null,{"$f":"N98*(1-N96)","v":7.7702624722018045},{"$f":"O98*(1-O96)","v":20.671014475389097}]
[null,{"$f":"CONCATENATE(\"Product of Row \",L98, \" and complement of Row \",L96, \".\")","v":"Product of Row 98 and complement of Row 96."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Daily baseline vehicle-hours driving (rounded)",null,null,null,null,null,null,{"$f":"ROUND(I$90/I98,-2)","v":404600},{"$f":"ROUND(J$90/J98,-2)","v":2764700},{"$f":"I102+J102","v":3169300},{"$f":"ROW()","v":102},null,{"$f":"ROUND(N$90/N98,-2)","v":404600},{"$f":"ROUND(O$90/O98,-2)","v":2764700},{"$f":"N102+O102","v":3169300}]
[null,{"$f":"CONCATENATE(\"Row \",$L$90, \" divided by Row \",L98, \".\")","v":"Row 90 divided by Row 98."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"Daily vehicle-hours driving after placards have been distributed (rounded)",null,null,null,null,null,null,{"$f":"ROUND(I$90/I100,-2)","v":406500},{"$f":"ROUND(J$90/J100,-2)","v":2773300},{"$f":"I104+J104","v":3179800},{"$f":"ROW()","v":104},null,{"$f":"ROUND(N$90/N100,-2)","v":416500},{"$f":"ROUND(O$90/O100,-2)","v":2795400},{"$f":"N104+O104","v":3211900}]
[null,{"$f":"CONCATENATE(\"Row \",$L$90, \" divided by Row \",L100, \".\")","v":"Row 90 divided by Row 100."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Increase in daily vehicle-hours driving attributable to increased placards (rounded)",null,null,null,null,null,null,{"$f":"I104-I102","v":1900},{"$f":"J104-J102","v":8600},{"$f":"I106+J106","v":10500},{"$f":"ROW()","v":106},null,{"$f":"N104-N102","v":11900},{"$f":"O104-O102","v":30700},{"$f":"N106+O106","v":42600}]
[null,{"$f":"CONCATENATE(\"Row \",L104, \" less Row \",L102, \".\")","v":"Row 104 less Row 102."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Valuation of one vehicle-hour spent in traffic, per vehicle",null,null,null,null,null,null,25,20,null,{"$f":"ROW()","v":108},null,25,20]
[null,"Komanoff assumption. Is intended to encompass all vehicles (including vans, trucks, buses, not just school personnel)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Daily time-cost to all vehicle users attributable to increased placards (rounded)",null,null,null,null,null,null,{"$f":"I106*I108","v":47500},{"$f":"J106*J108","v":172000},{"$f":"I110+J110","v":219500},{"$f":"ROW()","v":110},null,{"$f":"N106*N108","v":297500},{"$f":"O106*O108","v":614000},{"$f":"N110+O110","v":911500}]
[null,{"$f":"CONCATENATE(\"Row \",L108, \" multiplied by Row \",L106, \".\")","v":"Row 108 multiplied by Row 106."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Number of school days per year (includes staff preparation days, i.e., slightly greater than days with students)",null,null,null,null,null,null,200,200,null,{"$f":"ROW()","v":112},null,200,200]
[null,"Komanoff assumption. ",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Annual time-cost to all vehicle users attributable to increased placards (rounded)",null,null,null,null,null,null,{"$f":"I110*I112","v":9500000},{"$f":"J110*J112","v":34400000},{"$f":"I114+J114","v":43900000},{"$f":"ROW()","v":114},null,{"$f":"N110*N112","v":59500000},{"$f":"O110*O112","v":122800000},{"$f":"N114+O114","v":182300000}]
[null,{"$f":"CONCATENATE(\"Row \",L112, \" multiplied by Row \",L110, \".\")","v":"Row 112 multiplied by Row 110."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Per placard annual time-cost to all vehicle users attributable to increased placards (rounded)",null,null,null,null,null,null,null,null,{"$f":"ROUND(K114/K73,-1)","v":880},{"$f":"ROW()","v":116},null,"[We need to distribute these totals among citywide drivers, to hit home."]
[null,{"$f":"CONCATENATE(\"Row \",L114, \" divided by Row \",L73, \".\")","v":"Row 114 divided by Row 73."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]

{"sheet":"Breakeven","index":59,"n_rows":123,"n_cols":15,"rows_kept":123,"cut":false,"hidden":false,"merged":[[120,1,121,8],[107,8,108,8],[69,1,71,8],[63,1,67,8],[102,1,103,8],[72,6,72,7],[72,8,72,9],[27,9,28,13],[27,8,28,8],[17,9,18,13],[19,9,20,13],[4,1,5,9],[59,1,61,8],[107,7,108,7],[107,6,108,6],[118,9,119,13],[31,1,33,4],[31,7,31,9]]}
[null,"Breakeven",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"This worksheet compares the time savings and toll payment for individual commute trips into the CBD. The reader may use it to estimate the range of drivers' value of time and commute distance that generate enough time benefit to offset the toll cost.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"A. Van Drivers (tradesmen, e.g., plumbers, elevator repair, heating or A/C service) traveling between Long Island City and CBD (March 2018)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Weekdays, van trips during peak periods",null,null,null,null,"Travel in CBD","Travel in L.I.C.","Combined","Sources",null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Number of times crossing into CBD",null,null,null,null,null,2,null,"CK assumption.",null,null,null,null,{"$f":"ROW()","v":13}]
[null,"Miles in L.I.C. for each time entering CBD (round trips; includes QBB)",null,null,null,null,null,7,null,"CK assumption.",null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Number of job sites serviced in CBD",null,null,null,null,5,null,null,"CK assumption.",null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Miles in CBD for each job serviced there (round trips)",null,null,null,null,4,null,null,"CK assumption.",null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Total distance traveled (round trips)",null,null,null,null,{"$f":"G15*G16","v":20},{"$f":"H13*H14","v":14},{"$f":"G17+H17","v":34},{"$f":"CONCATENATE(\"In CBD is product of Rows\",O15, \" and \",O16, \". In L.I.C. is product of Rows \",O13, \" and \",O14, \".\")","v":"In CBD is product of Rows15 and 16. In L.I.C. is product of Rows 13 and 14."},null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Average speed before pricing, mph (6 am - 8 pm)",null,null,null,null,{"$f":"AVERAGE('Motor Vs'!$I$201:'Motor Vs'!$L$201)","v":7.3964853519450031},{"$f":"AVERAGE(AVERAGE('Motor Vs'!$I$216:'Motor Vs'!$L$216), G18)","v":13.243542397024182},null,{"$f":"CONCATENATE(\"CBD value is from 'Motor Vs' worksheet, Row \",'Motor Vs'!$O$201, \"; L.I.C. is avg of that & non-CBD value from 'Motor Vs' worksheet, Row \",'Motor Vs'!$O$216, \". All figures use columns I thru L (6 a.m. - 8 p.m.)\")","v":"CBD value is from 'Motor Vs' worksheet, Row 201; L.I.C. is avg of that & non-CBD value from 'Motor Vs' worksheet, Row 216. All figures use columns I thru L (6 a.m. - 8 p.m.)"},null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Average speed after, mph (6 am - 8 pm)",null,null,null,null,{"$f":"AVERAGE('Motor Vs'!$I$954:'Motor Vs'!$L$954)","v":9.0618302852049766},{"$f":"AVERAGE(('Motor Vs'!$I$955, 'Motor Vs'!$L$955),G20)","v":14.907621277288101},null,{"$f":"CONCATENATE(\"CBD value is from 'Motor Vs' worksheet, Row \",'Motor Vs'!$O$954, \"; L.I.C. is avg of that & non-CBD value from 'Motor Vs' worksheet, Row \",'Motor Vs'!$O$955, \". All figures use columns I thru L (6 a.m. - 8 p.m.)\")","v":"CBD value is from 'Motor Vs' worksheet, Row 954; L.I.C. is avg of that & non-CBD value from 'Motor Vs' worksheet, Row 955. All figures use columns I thru L (6 a.m. - 8 p.m.)"},null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Travel minutes, before",null,null,null,null,{"$f":"G17*60/G18","v":162.23921807462841},{"$f":"H17*60/H18","v":63.427138662594352},{"$f":"G22+H22","v":225.66635673722277},{"$f":"CONCATENATE(\"From Rows \",O17, \" and \",O18, \".\")","v":"From Rows 17 and 18."},null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Travel minutes, after",null,null,null,null,{"$f":"G17*60/G20","v":132.42357914815619},{"$f":"H17*60/H20","v":56.347017701593195},{"$f":"G23+H23","v":188.77059684974938},{"$f":"CONCATENATE(\"From Rows \",O17, \" and \",O20, \".\")","v":"From Rows 17 and 20."},null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Time saved, with cordon pricing (minutes)",null,null,null,null,{"$f":"G22-G23","v":29.815638926472218},{"$f":"H22-H23","v":7.0801209610011568},{"$f":"G24+H24","v":36.895759887473375},{"$f":"CONCATENATE(\"Row \",O22, \" less Row \",O23, \".\")","v":"Row 22 less Row 23."},null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Time saved, with cordon pricing (hours)",null,null,null,null,{"$f":"G24/60","v":0.49692731544120361},{"$f":"H24/60","v":0.11800201601668595},{"$f":"I24/60","v":0.61492933145788953},{"$f":"CONCATENATE(\"Row \",O24, \" divided by 60.\")","v":"Row 24 divided by 60."},null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Value of time (per vehicle-hour) for work trips; includes fractional passengers",null,null,null,null,{"$f":"'Value of Time'!L65","v":75.493178776036856},{"$f":"'Value of Time'!L103","v":67.943860898433172},null,{"$f":"CONCATENATE(\"'Value of Time' worksheet, Rows \",'Value of Time'!O65, \" and \",'Value of Time'!O103, \".\")","v":"'Value of Time' worksheet, Rows 65 and 103."},null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Value of time saved",null,null,null,null,{"$f":"G25*G26","v":37.514622663298844},{"$f":"H25*H26","v":8.0175125619723939},{"$f":"G27+H27","v":45.53213522527124},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Toll ",null,null,null,null,null,null,{"$f":"'Policy Levers'!$K$27*'Policy Levers'!K98*AVERAGE('Policy Levers'!K32:'Policy Levers'!K34)","v":26.928000000000004},{"$f":"CONCATENATE(\"Product of # toll directions from 'Policy Levers' tab, Cell K\",'Policy Levers'!O27,\"; commercial vehicle multiplier from same tab, Cell K\",'Policy Levers'!O98, \"; & avg toll during 6 am - 8 pm from same tab, Rows \",'Policy Levers'!O32, \" thru \",'Policy Levers'!O34, \".\")","v":"Product of # toll directions from 'Policy Levers' tab, Cell K27; commercial vehicle multiplier from same tab, Cell K98; & avg toll during 6 am - 8 pm from same tab, Rows 32 thru 34."},null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Net benefit",null,null,null,null,null,null,{"$f":"I27-I28","v":18.604135225271236},null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,{"$f":"CONCATENATE(\"Table at right is an Excel Data Table constructed on variables in Rows \",O13, \" (number of times crossing into CBD) and \",O15, \" (number of sites served.\")","v":"Table at right is an Excel Data Table constructed on variables in Rows 13 (number of times crossing into CBD) and 15 (number of sites served."},null,null,null,null,"# sites serviced","# of bridge crossings",null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,{"$f":"(G15*G16/AVERAGE('Motor Vs'!$I$201:'Motor Vs'!$L$201)-G15*G16/AVERAGE('Motor Vs'!$I$954:'Motor Vs'!$L$954))*'Value of Time'!L65+(H13*H14/AVERAGE(AVERAGE('Motor Vs'!$I$216:'Motor Vs'!$L$216), AVERAGE('Motor Vs'!$I$201:'Motor Vs'!$L$201))-H13*H14/AVERAGE(('Motor Vs'!$I$955, 'Motor Vs'!$L$955),AVERAGE('Motor Vs'!$I$954:'Motor Vs'!$L$954)))*'Value of Time'!L103-2*'Policy Levers'!K98*AVERAGE('Policy Levers'!K32:'Policy Levers'!K34)*'Policy Levers'!K27","v":-8.3238647747287686},1,2,3,"Average",null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,1,-42.344319186354056,-38.33556290536788,-34.326806624381653,{"$f":"AVERAGE(H34:J34)","v":-38.335562905367858},null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,2,-34.841394653694294,-30.832638372708132,-26.823882091721888,{"$f":"AVERAGE(H35:J35)","v":-30.832638372708104},null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,3,-27.338470121034582,-23.329713840048349,-19.320957559062123,-23.329713840048353,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,4,-19.835545588374792,-15.82678930738858,-11.818033026402432,-15.826789307388601,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,5,-12.332621055714924,-8.3238647747289107,-4.3151084937425708,-8.3238647747288024,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,6,-4.8296965230552757,-0.82094024206919158,3.1878160389172479,-0.82094024206907312,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,7,2.6732280096043368,6.6819842905907691,10.690740571576868,6.6819842905906581,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,8,10.176152542264262,14.184908823250353,18.193665104236715,14.184908823250444,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,"Average",{"$f":"AVERAGE(H34:H41)","v":-16.084083322044918},{"$f":"AVERAGE(I34:I41)","v":-12.075327041058737},{"$f":"AVERAGE(J34:J41)","v":-8.0665707600724801},{"$f":"AVERAGE(K34:K41)","v":-12.075327041058712},null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"B. Breakeven Analysis: Auto Commuters (circa 2011-2012)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"1. Weekdays, work trips (on a 24-h basis, not just peak periods)",null,null,null,null,"in CBD","outside CBD","combined","Sources",null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Value of time (per vehicle-hour) for work trips; includes fractional passengers",null,null,null,null,{"$f":"'Value of Time'!L62","v":41.993080694170501},{"$f":"'Value of Time'!L100","v":27.995387129446996},null,{"$f":"CONCATENATE(\"'Value of Time' worksheet, Rows \",'Value of Time'!O62, \" and \",'Value of Time'!O100, \".\")","v":"'Value of Time' worksheet, Rows 62 and 100."},null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Average distance traveled (round trip), miles",null,null,null,null,{"$f":"2*'Motor Vs'!I99","v":2.5},{"$f":"2*'Motor Vs'!I93","v":33.713818752838741},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O93, \" and \",'Motor Vs'!O99, \".\")","v":"'Motor Vs' worksheet, Rows 93 and 99."},null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Average speed, before, mph (24h, weighted by # trips in each period)",null,null,null,null,{"$f":"'Motor Vs'!K205","v":7.9566975814690171},{"$f":"'Motor Vs'!K221","v":20.941636611133816},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O205, \" and \",'Motor Vs'!O221, \".\")","v":"'Motor Vs' worksheet, Rows 205 and 221."},null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Average speed, after, mph (24h, weighted by # trips in each period)",null,null,null,null,{"$f":"'Motor Vs'!H1028","v":9.5838895851612378},{"$f":"'Motor Vs'!H1033","v":22.267344389813925},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O1028, \" and \",'Motor Vs'!O1033, \".\")","v":"'Motor Vs' worksheet, Rows 1028 and 1033."},null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Travel minutes, before",null,null,null,null,{"$f":"G$49*60/G50","v":18.852042378655547},{"$f":"H$49*60/H50","v":96.593650378541497},{"$f":"G52+H52","v":115.44569275719704},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Travel minutes, after",null,null,null,null,{"$f":"G$49*60/G51","v":15.651265456171929},{"$f":"H$49*60/H51","v":90.842854440049734},{"$f":"G53+H53","v":106.49411989622166},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Time saved, with cordon pricing (minutes)",null,null,null,null,{"$f":"G52-G53","v":3.2007769224836178},{"$f":"H52-H53","v":5.7507959384917626},{"$f":"G54+H54","v":8.9515728609753804},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Time saved, with cordon pricing (hours)",null,null,null,null,{"$f":"G54/60","v":5.3346282041393626E-2},{"$f":"H54/60","v":9.584659897486271E-2},{"$f":"I54/60","v":0.14919288101625633},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":55}]
[null,"% of baseline travel time saved",null,null,null,null,{"$f":"G54/G52","v":0.1697840933196483},{"$f":"H54/H52","v":5.9535962415282272E-2},{"$f":"I54/I52","v":7.7539253714750025E-2},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Value of time saved",null,null,null,null,{"$f":"G55*G48","v":2.2401747264982212},{"$f":"H55*H48","v":2.6832626433421392},{"$f":"G57+H57","v":4.9234373698403608},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Toll (avg for autos on work trips)",null,null,null,null,null,null,{"$f":"'Motor Vs'!W339","v":7.4423244135552382},{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Cell W\",'Motor Vs'!O339, \".\")","v":"'Motor Vs' worksheet, Cell W339."},null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Discussion: Above analysis suggests that average commuter to CBD recovers less value in time saved than he/she must spend in cordon-entry toll, even though graph in Cost-Benefit tab indicates that aggregate time savings to drivers (and passengers) have approximately the same value as drivers' toll payments.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"The resolution of the paradox lies in free-riders. Just as most vehicles that are driven on the approaches to the CBD aren't bound for the CBD and never enter it, many of the hours saved on roads outside the cordon are saved on non-CBD trips. These trips aren't charged a cordon fee, but their drivers save time nevertheless. Thus, while a micro analysis indicates that most individiual trips into the CBD will pay a higher toll than they will gain in time savings, a macro analysis indicates that the total value of the time savings is roughly the same as total toll payments (including taxi surcharge) -- see Results or Cost-Benefit worksheets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Note that within-CBD trips also include some free riders -- trips that only circulate within the CBD and thus don't pay a cordon fee, but still reap the benefit of cordon pricing, via higher traffic speeds. There are proportionately far fewer free riders within than outside the CBD, however.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,"Morning Peak, en route to CBD",null,"Evening Peak, en route to CBD",null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"2. Weekdays, work trips (peak periods)",null,null,null,null,"in CBD","outside CBD","in CBD","outside CBD","combined","Sources",null,null,{"$f":"ROW()","v":74}]
[null,"Value of time (per vehicle-hour) for work trips; includes fractional passengers",null,null,null,null,{"$f":"'Value of Time'!L62","v":41.993080694170501},{"$f":"'Value of Time'!L100","v":27.995387129446996},{"$f":"G75","v":41.993080694170501},{"$f":"H75","v":27.995387129446996},null,{"$f":"CONCATENATE(\"'Value of Time' worksheet, Rows \",'Value of Time'!O90, \" and \",'Value of Time'!O128, \".\")","v":"'Value of Time' worksheet, Rows 90 and 128."},null,null,{"$f":"ROW()","v":75}]
[null,"Average distance traveled (one way)",null,null,null,null,{"$f":"'Motor Vs'!I99","v":1.25},{"$f":"'Motor Vs'!I93","v":16.85690937641937},{"$f":"G76","v":1.25},{"$f":"H76","v":16.85690937641937},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O93, \" and \",'Motor Vs'!O99, \".\")","v":"'Motor Vs' worksheet, Rows 93 and 99."},null,null,{"$f":"ROW()","v":76}]
[null,"Average speed, before, mph (24h, weighted by # trips in each period)",null,null,null,null,{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!I217","v":17.40263133338409},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!L217","v":15.562241535911015},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O201, \" and \",'Motor Vs'!O217, \".\")","v":"'Motor Vs' worksheet, Rows 201 and 217."},null,null,{"$f":"ROW()","v":77}]
[null,"Average speed, after, mph (24h, weighted by # trips in each period)",null,null,null,null,{"$f":"'Motor Vs'!I954","v":9.8726835319879704},{"$f":"'Motor Vs'!I955","v":19.151881090899597},{"$f":"'Motor Vs'!L954","v":7.1683491347461734},{"$f":"'Motor Vs'!L955","v":16.509152455759729},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O954, \" and \",'Motor Vs'!O955, \".\")","v":"'Motor Vs' worksheet, Rows 954 and 955."},null,null,{"$f":"ROW()","v":78}]
[null,"Travel minutes, before",null,null,null,null,{"$f":"G$76*60/G77","v":10.36695404869452},58.118484682539332,12.7064451411182,64.991573370150363,{"$f":"SUM(G79:J79)","v":146.18345724250241},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":79}]
[null,"Travel minutes, after",null,null,null,null,7.5967187398437703,52.810194350347984,10.462660033739512,61.263869559354575,{"$f":"SUM(G80:J80)","v":132.13344268328586},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":80}]
[null,"Time saved, with cordon pricing (minutes)",null,null,null,null,{"$f":"G79-G80","v":2.7702353088507499},{"$f":"H79-H80","v":5.3082903321913477},{"$f":"I79-I80","v":2.2437851073786881},{"$f":"J79-J80","v":3.7277038107957878},{"$f":"SUM(G81:J81)","v":14.050014559216574},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":81}]
[null,"Time saved, with cordon pricing (hours)",null,null,null,null,{"$f":"G81/60","v":4.6170588480845834E-2},{"$f":"H81/60","v":8.8471505536522457E-2},{"$f":"I81/60","v":3.7396418456311468E-2},{"$f":"J81/60","v":6.2128396846596462E-2},{"$f":"K81/60","v":0.23416690932027623},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":82}]
[null,"% of baseline travel time saved",null,null,null,null,{"$f":"G81/G79","v":0.26721786320636748},{"$f":"H81/H79","v":9.1335663019895097E-2},{"$f":"I81/I79","v":0.17658637663478152},{"$f":"J81/J79","v":5.7356725149046252E-2},{"$f":"K81/K79","v":9.6112206020063762E-2},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":83}]
[null,"Value of time saved",null,null,null,null,{"$f":"G82*G75","v":1.9388452477734981},{"$f":"H82*H75","v":2.4767940474199595},{"$f":"I82*I75","v":1.5703908179088546},{"$f":"J82*J75","v":1.739308521452382},{"$f":"SUM(G84:J84)","v":7.7253386345546948},"Calculation from earlier rows.",null,null,{"$f":"ROW()","v":84}]
[null,"Toll (autos on work trips, peak periods)",null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!R339","v":8.860885235434985},{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Cell R\",'Motor Vs'!O339, \".\")","v":"'Motor Vs' worksheet, Cell R339."},null,null,{"$f":"ROW()","v":85}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Discussion: Gap between toll cost and value of time saved is less for this peak-period trip but is still substantial.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"C. Van Drivers (tradesmen, e.g., plumbers, elevator repair, heating or A/C service) (circa 2011-2012)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Weekdays, van trips during peak periods",null,null,null,null,"in CBD","outside CBD","combined","Sources",null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Value of time (per vehicle-hour) for work trips; includes fractional passengers",null,null,null,null,{"$f":"'Value of Time'!L65","v":75.493178776036856},{"$f":"'Value of Time'!L103","v":67.943860898433172},null,{"$f":"CONCATENATE(\"'Value of Time' worksheet, Rows \",'Value of Time'!O65, \" and \",'Value of Time'!O103, \".\")","v":"'Value of Time' worksheet, Rows 65 and 103."},null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Average distance traveled (round trip)",null,null,null,null,{"$f":"2*'Motor Vs'!M99","v":6},{"$f":"2*'Motor Vs'!M93","v":31.096441878040647},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!O93, \" and \",'Motor Vs'!O99, \".\")","v":"'Motor Vs' worksheet, Rows 93 and 99."},null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Average speed, before, mph (6-9 am morning peak)",null,null,null,null,{"$f":"'Motor Vs'!$I$201","v":7.2345261344574521},{"$f":"'Motor Vs'!$I$216","v":17.40263133338409},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!$O$201, \" and \",'Motor Vs'!$O$216, \".\")","v":"'Motor Vs' worksheet, Rows 201 and 216."},null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Average speed, after, mph (6-9 am morning peak)",null,null,null,null,{"$f":"'Motor Vs'!$I$954","v":9.8726835319879704},{"$f":"'Motor Vs'!$I$955","v":19.151881090899597},null,{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Rows \",'Motor Vs'!$O$954, \" and \",'Motor Vs'!$O$955, \".\")","v":"'Motor Vs' worksheet, Rows 954 and 955."},null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Travel minutes, before",null,null,null,null,{"$f":"G93*60/G94","v":49.761379433733694},{"$f":"H93*60/H94","v":107.2128965407222},{"$f":"G96+H96","v":156.97427597445591},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Travel minutes, after",null,null,null,null,{"$f":"G93*60/G95","v":36.464249951250096},{"$f":"H93*60/H95","v":97.420535550891913},{"$f":"G97+H97","v":133.88478550214199},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":97}]
[null,"Time saved, with cordon pricing (minutes)",null,null,null,null,{"$f":"G96-G97","v":13.297129482483598},{"$f":"H96-H97","v":9.7923609898302857},{"$f":"G98+H98","v":23.089490472313884},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Time saved, with cordon pricing (hours)",null,null,null,null,{"$f":"G98/60","v":0.22161882470805996},{"$f":"H98/60","v":0.16320601649717142},{"$f":"I98/60","v":0.38482484120523142},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Value of time saved",null,null,null,null,{"$f":"G99*G92","v":16.730709553820745},{"$f":"H99*H92","v":11.088846882671206},{"$f":"G100+H100","v":27.819556436491951},"Calculation from earlier rows.",null,null,null,{"$f":"(I101/I100-1)*100","v":-60.185898112434359},{"$f":"ROW()","v":100}]
[null,"Toll (van trips during peak) calculated by raising auto toll by:",null,null,null,0.25,null,null,{"$f":"'Motor Vs'!R339*(1+F101)","v":11.076106544293731},{"$f":"CONCATENATE(\"'Motor Vs' worksheet, Cell R\",'Motor Vs'!O339, \", plus % shown at left.\")","v":"'Motor Vs' worksheet, Cell R339, plus % shown at left."},null,null,null,{"$f":"(I101-H100-G100)/G100","v":-1.0007614942054006},{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"Discussion: Time saving comes closer to offsetting toll in this case. Indeed, any of the following adjustments will raise value of time saved to more than toll:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Adjustment 1: ","Add second (or third) trip, since time savings grow linearly while toll amount stays fixed.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Adjustment 2: ",{"$f":"CONCATENATE(\"Increase value of time by more than \",ROUND(10*N100,-1)/10, \"%, to at least $\",ROUND(G92*(1+N100/100),0), \" per hour within CBD and $\",ROUND(H92*(1+N100/100),0), \" per hour outside CBD.\")","v":"Increase value of time by more than -60%, to at least $30 per hour within CBD and $27 per hour outside CBD."},null,null,null,null,null,null,"(Note: If % in sentence to left is negative, then time savings already surpass toll.)",null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Adjustment 3: ",{"$f":"CONCATENATE(\"Raise distance traveled within CBD by \",ROUND(N101*100,-1), \" percent.\")","v":"Raise distance traveled within CBD by -100 percent."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,"All taxi trips","CBD trips only","CBD trips, evening peak",null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"D. Taxis (weekday trips) (circa 2011-2012)",null,null,null,null,null,null,null,"Sources",null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Value of time (per vehicle-hour); includes fractional passengers",null,null,null,null,{"$f":"'Value of Time'!L69","v":65.754558713928105},{"$f":"'Value of Time'!L69","v":65.754558713928105},{"$f":"H110","v":65.754558713928105},{"$f":"CONCATENATE(\"'Value of Time' worksheet, Row \",'Value of Time'!O69, \". Same value in/out CBD.\")","v":"'Value of Time' worksheet, Row 69. Same value in/out CBD."},null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Average distance traveled",null,null,null,null,{"$f":"Taxis!$G$261","v":2.6860000000000004},{"$f":"Taxis!$L$221","v":1.7999999999999998},{"$f":"H111","v":1.7999999999999998},{"$f":"CONCATENATE(\"'Taxis' worksheet, Rows \",Taxis!O261, \" and \",Taxis!O221, \".\")","v":"'Taxis' worksheet, Rows 261 and 221."},null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Average speed, before, mph",null,null,null,null,{"$f":"Taxis!F493","v":11.486004408331285},{"$f":"'Motor Vs'!H1027","v":7.9566975814690171},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Row \",Taxis!O493, \" &  'Motor Vs' worksheet, Rows \",'Motor Vs'!O1027, \" & \",'Motor Vs'!O201, \", respectively.\")","v":"From 'Taxis' worksheet, Row 493 &  'Motor Vs' worksheet, Rows 1027 & 201, respectively."},null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Average speed, after, mph",null,null,null,null,{"$f":"Taxis!G493","v":13.064305958062498},{"$f":"'Motor Vs'!H1028","v":9.5838895851612378},{"$f":"'Motor Vs'!L954","v":7.1683491347461734},{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Row \",Taxis!O493, \" & 'Motor Vs' worksheet, Rows \",'Motor Vs'!O1028, \" & \",'Motor Vs'!O954, \", respectively.\")","v":"From 'Taxis' worksheet, Row 493 & 'Motor Vs' worksheet, Rows 1028 & 954, respectively."},null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Travel minutes, before",null,null,null,null,{"$f":"G$111*60/G112","v":14.030988868775278},13.573470512631992,18.297281003210205,"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Travel minutes, after",null,null,null,null,12.335902153343389,11.268911128443788,15.066230448584895,"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Time saved, with cordon pricing (minutes)",null,null,null,null,{"$f":"G114-G115","v":1.6950867154318896},{"$f":"H114-H115","v":2.3045593841882042},{"$f":"I114-I115","v":3.2310505546253108},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Time saved, with cordon pricing (hours)",null,null,null,null,{"$f":"G116/60","v":2.8251445257198159E-2},{"$f":"H116/60","v":3.8409323069803401E-2},{"$f":"I116/60","v":5.3850842577088512E-2},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":117}]
[null,"Value of time saved",null,null,null,null,{"$f":"G117*G110","v":1.857661315917762},{"$f":"H117*H110","v":2.525588088955621},{"$f":"I117*I110","v":3.540938390029666},"Calculation from earlier rows.",null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Change in total trip price (incl. surcharge and tip)",null,null,null,null,{"$f":"Taxis!I651","v":17.73619444444444},"TK","TK",{"$f":"CONCATENATE(\"Taxis tab, Cells G\",Taxis!O651, \" & L\",Taxis!O634, \", respectively. Note that 'all trips' figure encompasses a range of distances.\")","v":"Taxis tab, Cells G651 & L634, respectively. Note that 'all trips' figure encompasses a range of distances."},null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Discussion: Whether the surcharge is offset by value of time saved varies depending upon share of trip that takes place within CBD and trip's coincidence with peak traffic periods.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]

{"sheet":"Winners-Losers","index":60,"n_rows":123,"n_cols":15,"rows_kept":123,"cut":false,"hidden":false,"merged":[[9,9,12,9],[9,10,12,10],[9,11,12,11],[69,1,70,7],[16,6,17,8],[72,1,73,7],[105,1,106,7],[4,1,5,8],[9,8,12,8],[45,1,46,7],[52,1,53,7],[89,1,91,7]]}
[null,"Winners-Losers",null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,{"$f":"CONCATENATE(\"This worksheet tab estimates the numbers of persons and/or trips that will be positively and/or negatively affected by changes in travel prices and speeds under the plan chosen. That plan is: \",Results!K27, \".\")","v":"This worksheet tab estimates the numbers of persons and/or trips that will be positively and/or negatively affected by changes in travel prices and speeds under the plan chosen. That plan is: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"All trips are one-way.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Summary",null,null,null,null,null,null,"Weekday trips in this category","Weekend trips in this category","Annual trips in this category","Annual trips div. by  365 to calculate daily ",null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Winners",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Will Pay Less",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(SUM(L16:L17),-4)","v":0},null,null,{"$f":"ROW()","v":15}]
[null,"Trips on TBTA bridges that will benefit from toll reductions",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O42, \"-\",O49, \".\")","v":"Derived in Rows 42-49."},null,null,null,{"$f":"IF('Policy Levers'!K108<-0.01,1,0)*ROUND(I48*1000,-3)","v":0},{"$f":"ROUND(K16/365,-3)","v":0},null,null,{"$f":"ROW()","v":16}]
[null,"Bus trips benefiting from dollar fare",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O57, \"-\",O58, \". These trips are also included in faster bus trips directly below.\")","v":"Derived in Rows 57-58. These trips are also included in faster bus trips directly below."},null,null,null,{"$f":"IF('Policy Levers'!K255=\"YES\",1,0)*ROUND(I57*1000,-3)","v":0},{"$f":"ROUND(K17/365,-3)","v":0},null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Will Travel Faster",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(SUM(L20:L25),-4)","v":5950000},null,null,{"$f":"ROW()","v":19}]
[null,"Subway trips that will benefit from investment financed by toll revenues",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O61, \"-\",O62, \".\")","v":"Derived in Rows 61-62."},null,null,null,null,{"$f":"ROUND(K20/365,-3)","v":0},null,null,{"$f":"ROW()","v":20}]
[null,"Bus trips that will be faster due to lessened traffic",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O65, \"-\",O66, \".\")","v":"Derived in Rows 65-66."},null,null,null,{"$f":"IF(Results!I120>0.0001,1,0)*ROUND(I65*1000,-3)","v":602620000},1651000,null,null,{"$f":"ROW()","v":21}]
[null,"CBD-bound vehicle trips that will travel faster ",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O68, \"-\",O74, \".\")","v":"Derived in Rows 68-74."},null,{"$f":"IF(Results!I120>0.0001,1,0)*I69*2","v":1068370.7817599757},{"$f":"IF(Results!I120>0.0001,1,0)*I72*2","v":963574.91378459625},{"$f":"ROUND(I22*weekday_per_yr+J22*wkend_per_yr,-3)","v":377904000},1035000,null,null,{"$f":"ROW()","v":22}]
[null,"Taxi trips that will travel faster ",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O76, \"-\",O80, \".\")","v":"Derived in Rows 76-80."},null,{"$f":"IF(Results!$H120>0.0001,1,0)*ROUND(I77,-3)","v":323000},{"$f":"IF(Results!$H120>0.0001,1,0)*ROUND(I79,-3)","v":291000},{"$f":"ROUND(I23*weekday_per_yr+J23*wkend_per_yr,-3)","v":114215000},313000,null,null,{"$f":"ROW()","v":23}]
[null,"Non-CBD-bound vehicle trips that aren't subject to toll and will travel faster ",null,null,null,null,{"$f":"CONCATENATE(\"Row \",O22, \" figs multpl'd by Row \",O83, \".\")","v":"Row 22 figs multpl'd by Row 83."},null,{"$f":"ROUND(I22*$I$83,-3)","v":2065000},{"$f":"ROUND(J22*$I$83,-3)","v":1862000},{"$f":"ROUND(I24*weekday_per_yr+J24*wkend_per_yr,-3)","v":730380000},2001000,null,null,{"$f":"ROW()","v":24}]
[null,"Intra-CBD vehicle trips that aren't subject to toll and will travel faster ",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O86, \"-\",O100, \".\")","v":"Derived in Rows 86-100."},null,{"$f":"IF(Results!H120>0.0001,1,0)*2*ROUND(I93,-3)","v":926000},{"$f":"IF(Results!H120>0.0001,1,0)*2*ROUND(I99,-3)","v":992000},{"$f":"ROUND(I25*weekday_per_yr+J25*wkend_per_yr,-3)","v":345580000},947000,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Losers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Will Pay More",null,null,null,null,null,null,null,null,null,{"$f":"ROUND(SUM(L30:L31),-4)","v":1080000},null,null,{"$f":"ROW()","v":29}]
[null,"CBD-crossing vehicle trips that will be subject to tolling",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O104, \"-\",O109, \".\")","v":"Derived in Rows 104-109."},null,{"$f":"IF('Policy Levers'!K34>0.01,1,0)*ROUND(I105,-3)","v":1139000},{"$f":"IF('Policy Levers'!K37>0.01,1,0)*ROUND(I108,-3)","v":0},{"$f":"ROUND(I30*weekday_per_yr+J30*wkend_per_yr,-3)","v":284750000},{"$f":"ROUND(K30/365,-3)","v":780000},null,null,{"$f":"ROW()","v":30}]
[null,"Trips in medallion taxis that will be subject to a surcharge",null,null,null,null,{"$f":"CONCATENATE(\"Derived in Rows \",O111, \"-\",O115, \".\")","v":"Derived in Rows 111-115."},null,{"$f":"IF(OR('Policy Levers'!K135>0.01,'Policy Levers'!K136>0.001,'Policy Levers'!K137>0.001,'Policy Levers'!K141>0.01,'Policy Levers'!K142>0.001,'Policy Levers'!K143>0.001),1,0)*ROUND(I112,-3)","v":305000},{"$f":"IF(OR('Policy Levers'!K135>0.01,'Policy Levers'!K136>0.001,'Policy Levers'!K137>0.001,'Policy Levers'!K141>0.01,'Policy Levers'!K142>0.001,'Policy Levers'!K143>0.001),1,0)*ROUND(I114,-3)*IF('Policy Levers'!K148<0.001,0,1)","v":281000},{"$f":"ROUND(I31*weekday_per_yr+J31*wkend_per_yr,-3)","v":108565000},{"$f":"ROUND(K31/365,-3)","v":297000},null,null,{"$f":"ROW()","v":31}]
[null,"Manhattan monthly parkers who lose partial sales tax exemption",null,null,null,null,null,"Doesn't denote trips; not daily #.",{"$f":"IF('Policy Levers'!K119=\"YES\",1,0)*Parking!I439","v":0},null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Will Travel Slower",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"None",null,null,null,null,null,null,"None",null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Details & Derivations",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Winners",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"Trips on TBTA bridges that will benefit from toll reductions",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"Projected 2015 one-way trips on all TBTA bridges and tunnels, thousands",null,null,null,null,null,null,{"$f":"'MTA Crossings'!T46","v":314202},null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,{"$f":"CONCATENATE(\"Derived in 'MTA Crossings' worksheet, shown there in Row \",'MTA Crossings'!AL46, \".\")","v":"Derived in 'MTA Crossings' worksheet, shown there in Row 46."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Projected 2015 one-way trips on TBTA bridges and tunnels that won't be discounted, thousands",null,null,null,null,null,null,{"$f":"SUM('MTA Crossings'!S41:S43)","v":68490},null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"Sum of trips on Henry Hudson Bridge, Queens-Midtown Tunnel & Brooklyn-Battery Tunnel, shown in Rows \",'MTA Crossings'!AL41, \"-\",'MTA Crossings'!AL43, \" of 'MTA Crossings' tab.\")","v":"Sum of trips on Henry Hudson Bridge, Queens-Midtown Tunnel & Brooklyn-Battery Tunnel, shown in Rows 41-43 of 'MTA Crossings' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Projected 2015 one-way trips on TBTA bridges and tunnels that will be discounted, thousands",null,null,null,null,null,null,{"$f":"I43-I45","v":245712},null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,{"$f":"CONCATENATE(\"Difference between figures in Rows \",O43, \" and \",O45, \".\")","v":"Difference between figures in Rows 43 and 45."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Bus trips benefiting from dollar fare",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Annual bus trips (NYC Transit 2015 projection), thousands",null,null,null,null,null,null,{"$f":"Buses!L35","v":602620.35600000003},null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,{"$f":"CONCATENATE(\"From 'Buses' worksheet, Row \",Buses!O36, \". Includes all riders for whom NYCT receives a fare, either through direct fare payment or fare reimbursements; also includes transfers.\")","v":"From 'Buses' worksheet, Row 36. Includes all riders for whom NYCT receives a fare, either through direct fare payment or fare reimbursements; also includes transfers."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"% of bus trips eligible for dollar fare",null,null,null,null,null,null,{"$f":"Buses!J320","v":0.3463919169038559},null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,{"$f":"CONCATENATE(\"Derived in 'Buses' worksheet, shown in Row \",Buses!O320, \" of that tab.\")","v":"Derived in 'Buses' worksheet, shown in Row 320 of that tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Annual bus trips that will receive dollar fare, thousands",null,null,null,null,null,null,{"$f":"I55*I52","v":208742.82028012408},null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,{"$f":"CONCATENATE(\"Derived in 'Buses' worksheet, shown in Row \",Buses!O322, \" of that tab.\")","v":"Derived in 'Buses' worksheet, shown in Row 322 of that tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"Subway trips that will benefit from investment financed by toll revenues",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Annual subway trips (NYC Transit projection for 2015), thousands",null,null,null,null,null,null,{"$f":"Subways!N11*1000","v":1691708},null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,{"$f":"CONCATENATE(\"Is all subway trips. Volume is derived in 'Subway' worksheet, shown in Row \",Subways!O14, \" of that tab.\")","v":"Is all subway trips. Volume is derived in 'Subway' worksheet, shown in Row 14 of that tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Bus trips that will be faster due to lessened traffic",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Annual bus trips (NYC Transit 2015 projection), thousands",null,null,null,null,null,null,{"$f":"I52","v":602620.35600000003},null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,{"$f":"CONCATENATE(\"Is all NYC bus trips. Volume is derived directly above, in Row \",O52, \".\")","v":"Is all NYC bus trips. Volume is derived directly above, in Row 52."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"CBD-bound vehicle trips that will travel faster ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Weekdays",null,null,null,null,null,null,{"$f":"'Motor Vs'!N1068","v":534185.39087998786},null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"From Row \",'Motor Vs'!O1068, \" of 'Motor Vs' worksheet. Figure denotes 'surviving' trips into or through CBD,after toll. Includes entries by medallion taxis.\")","v":"From Row 1068 of 'Motor Vs' worksheet. Figure denotes 'surviving' trips into or through CBD,after toll. Includes entries by medallion taxis."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Weekends",null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!N1068","v":481787.45689229784},null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,{"$f":"CONCATENATE(\"From Row \",'Motor Vs'!O1068, \" of 'Motor Vs Weekends' worksheet. Figure denotes 'surviving' trips into or through CBD,after toll. Includes entries by medallion taxis.\")","v":"From Row 1068 of 'Motor Vs Weekends' worksheet. Figure denotes 'surviving' trips into or through CBD,after toll. Includes entries by medallion taxis."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Taxi trips that will travel faster ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Weekdays",null,null,null,null,null,null,{"$f":"Taxis!L381","v":322525.69953458884},null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Cell L\",Taxis!$O381, \". Weekday taxi trips w/ (after) pricing plan.\")","v":"From 'Taxis' worksheet, Cell L381. Weekday taxi trips w/ (after) pricing plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Weekends",null,null,null,null,null,null,{"$f":"Taxis!N381","v":291130.90810265177},null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Cell N\",Taxis!$O381, \". Weekend taxi trips w/ (after) pricing plan.\")","v":"From 'Taxis' worksheet, Cell N381. Weekend taxi trips w/ (after) pricing plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Non-CBD-bound vehicle trips that aren't subject to toll and will travel faster ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Approximate ratio of trips in CBD-bound corridors that don't cross into CBD, to those that do",null,null,null,null,null,null,{"$f":"'Motor Vs'!L180","v":1.9327473645052207},null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,{"$f":"CONCATENATE(\"Derived and displayed in Cell K\",'Motor Vs'!O180, \" of 'Motor Vs' worksheet.\")","v":"Derived and displayed in Cell K180 of 'Motor Vs' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Intra-CBD vehicle trips that aren't subject to toll and will travel faster ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Weekday VMT by vehicle trips that never leave the CBD (i.e., don't breach cordon)",null,null,null,null,null,null,{"$f":"'Motor Vs'!H115-'Motor Vs'!L115","v":925644.20395591948},null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Calculated from 'Motor Vs' worksheet, Row \",'Motor Vs'!O115, \". Excludes medallion taxis, whose faster trips are tallied separately.\")","v":"Calculated from 'Motor Vs' worksheet, Row 115. Excludes medallion taxis, whose faster trips are tallied separately."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Average miles per these intra-cordon trips",null,null,null,null,null,null,2,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate. Based roughly on \",Distances!J223, \"-mile average distance between two randomly selected points within CBD, calculated in 'Distances' worksheet and displayed there in cell J\",Distances!O223, \", but reduced to account for concentration of origins and destinations closer to center of CBD.\")","v":"Komanoff estimate. Based roughly on 2.65-mile average distance between two randomly selected points within CBD, calculated in 'Distances' worksheet and displayed there in cell J223, but reduced to account for concentration of origins and destinations closer to center of CBD."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Number of these intra-cordon trips",null,null,null,null,null,null,{"$f":"I87/I89","v":462822.10197795974},null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,{"$f":"CONCATENATE(\"Ratio of Rows \",O87, \" and \",O89, \".\")","v":"Ratio of Rows 87 and 89."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Weekend VMT by vehicle trips that never leave the CBD (i.e., don't breach cordon)",null,null,null,null,null,null,{"$f":"'Motor Vs Weekends'!H115-'Motor Vs Weekends'!L115","v":992633.12512864778},null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Calculated from 'Motor Vs Weekends' worksheet, Row \",'Motor Vs Weekends'!O115, \". Excludes medallion taxis, whose faster trips are tallied separately.\")","v":"Calculated from 'Motor Vs Weekends' worksheet, Row 115. Excludes medallion taxis, whose faster trips are tallied separately."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Average miles per these intra-cordon trips",null,null,null,null,null,null,{"$f":"I89","v":2},null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Assumed same as weekday distance shown in Row \",O89, \".\")","v":"Assumed same as weekday distance shown in Row 89."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Number of these intra-cordon trips",null,null,null,null,null,null,{"$f":"I95/I97","v":496316.56256432389},null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,{"$f":"CONCATENATE(\"Ratio of Rows \",O95, \" and \",O97, \".\")","v":"Ratio of Rows 95 and 97."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Losers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,"CBD-bound vehicle trips that will be subject to toll",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Weekdays",null,null,null,null,null,null,{"$f":"2*('Motor Vs'!H76-'Motor Vs'!L76)+'Motor Vs'!H78","v":1139426},null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Derived from 'Motor Vs' worksheet. Figure is twice [non-through-trip entries to CBD shown in Cell H\",'Motor Vs'!O76, \", less taxicab entries in Cell L\",'Motor Vs'!O76, \"] plus one-way legs that are part of through trips, shown in Cell H\",'Motor Vs'!O78, \".\")","v":"Derived from 'Motor Vs' worksheet. Figure is twice [non-through-trip entries to CBD shown in Cell H76, less taxicab entries in Cell L76] plus one-way legs that are part of through trips, shown in Cell H78."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"Weekends",null,null,null,null,null,null,{"$f":"2*('Motor Vs Weekends'!H76-'Motor Vs Weekends'!L76)+'Motor Vs Weekends'!H78","v":950580.7},null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,{"$f":"CONCATENATE(\"Same as referenced in Rows \",O106, \" and \",O107, \", for Motor Vs Weekends.\")","v":"Same as referenced in Rows 106 and 107, for Motor Vs Weekends."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110}]
[null,"Trips in medallion taxis that will be subject to a surcharge",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Weekdays",null,null,null,null,null,null,{"$f":"Taxis!L69","v":304946.14061270922},null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Cell L\",Taxis!O69, \". Weekday taxi trips before pricing plan.\")","v":"From 'Taxis' worksheet, Cell L69. Weekday taxi trips before pricing plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,"Weekends",null,null,null,null,null,null,{"$f":"Taxis!M69","v":281051.4791438434},null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,{"$f":"CONCATENATE(\"From 'Taxis' worksheet, Cell N\",Taxis!O69, \". Weekend taxi trips before pricing plan.\")","v":"From 'Taxis' worksheet, Cell N69. Weekend taxi trips before pricing plan."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Manhattan monthly parkers who lose partial sales tax exemption",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]

{"sheet":"Hub-Bound","index":61,"n_rows":164,"n_cols":33,"rows_kept":164,"cut":false,"hidden":false,"merged":[[92,2,92,4],[135,1,136,4],[6,26,10,32],[6,19,11,24],[41,26,42,32],[15,1,17,7],[18,1,20,7],[21,1,24,7],[25,1,26,7],[39,19,42,24],[38,4,39,4],[38,12,39,12],[36,19,37,24],[38,5,39,5],[1,9,34,11],[2,19,2,32],[38,15,39,15],[27,1,28,7],[38,8,39,8],[38,9,39,9],[38,10,39,10],[36,2,36,5],[36,7,36,10],[38,2,39,2],[38,3,39,3],[2,3,4,7],[38,7,39,7],[38,13,39,13],[38,14,39,14],[6,1,9,7]]}
[null,"Hub-Bound Travel",null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,"This array, added 26-March-2015,  shows the number of non-transit motor vehicles (auto, taxi, van & truck) entering the \"Hub\" (Manhattan CBD) on a typical weekday, for some years 1980-1990 and all years since 1992. Data thru 2010 are from NYMTC's 2012 Hub-Bound report, Table 1A.\n\nPeak-people year is shown in pale green; peak-vehicle yr in pale yellow.\n\nOccupancy rates (people/vehicle) are calculated by Komanoff. It appears that NYMTC uses survey data to estimate occupancy rates, and then applies those rates to the number of vehicles to estimate the number of people.\n\nBeginning in 2005, NYMTC re-set the occupancy rate at a constant level of 1.27. (See note in 2005 Hub-Bound report, p. 4.), well below levels for prior years, which ranged from 1.43 to 1.57.\n\nThis change may lead to a distorted depiction of the number of people entering the Hub. Indeed, whereas the number of vehicles entering in 2012 is shown to be only 12% less than the number in the peak year of 1999, the number of people entering in 2012 is shown to be 29% less than in the peak year of 1998.\n\nNote added 8-Feb-2018: 2011-2016 data in yellow sub-array includes buses, which typically number around 11,000, and are excluded from figures at right thru 2010.",null,null,null,"Veh's (000)","People (000)","People/Veh",null,{"$f":"ROW()","v":2}]
[null,null,null,"Arrays immediately to right present data and analysis dedicated to unraveling the surprising (and, arguably, overstated) reduction in vehicle occupancies recorded by NYMTC from the 1990s to  2005.",null,null,null,null,null,null,null,null,1980,648,930,{"$f":"O3/N3","v":1.4351851851851851},null,{"$f":"ROW()","v":3},null,"NYMTC Vehicle Occupancy Surveys compared: 2006 vs. 1996"]
[null,null,null,null,null,null,null,null,null,null,null,null,1981,679,970,{"$f":"O4/N4","v":1.4285714285714286},null,{"$f":"ROW()","v":4}]
[null,"1. Motor Vehicles",null,null,null,null,null,null,null,null,null,null,1982,701,1069,1.5249643366619114,null,{"$f":"ROW()","v":5},null,1996,null,null,null,null,null,null,2006]
[null,null,null,null,null,null,null,null,null,null,null,null,1985,770,1167,1.5155844155844156,null,{"$f":"ROW()","v":6}]
[null,"Figs in Cols C-E & I-K are from Tables 16, \"Where And When Motor Vehicles Entered The Hub On A Fall Business Day In 2017\" and Table 17, \"Where ... Left the Hub …,\" in NYMTC's \"Hub-Bound Travel Report, 2017, Feb. 2019 (forthcoming). Those tables were generously shared with this spreadsheet's author in late 2018. They' replace 2016 data in the 2016 report. Both reports are available via <https://www.nymtc.org/Data-and-Modeling/Transportation-Data-and-Statistics/Publications/Hub-Bound-Travel>. ",null,null,null,null,null,null,null,null,null,null,1986,753,1137,1.5099601593625498,null,{"$f":"ROW()","v":7},null,"The 1996 Vehicle Occupancy Survey, or at least the parts of it that survived after 9/11, does not include breakouts of vehicles and people by vehicle type and sector. Thus, calculation of average occupancies for autos, for taxis, and for the two types of vehicles combined, had to be done with summary data, as shown directly below.",null,null,null,null,null,null,"The 2006 Vehicle Occupancy Survey breaks down vehicles and people (and occupancies) by both vehicle type and sector, thus allowing for direct and simple calculation of average occupancies for autos, for taxis, and for the two types of vehicles combined, as shown directly below."]
[null,null,null,null,null,null,null,null,null,null,null,null,1988,766,1156,1.5091383812010444,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,1990,761,1112,1.4612352168199738,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,1992,776,1146,{"$f":"O10/N10","v":1.4768041237113403},null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,1993,760,1124,1.4789473684210526,null,{"$f":"ROW()","v":11}]
[null,"Taxi figures are Komanoff ests. and are calculated from Taxis & Approaches worksheet tabs. Further documentation is in pertinent rows.",null,null,null,null,null,null,null,null,null,null,1994,755,1115,1.4768211920529801,null,{"$f":"ROW()","v":12},null,null,null,null,null,null,null,null,null,null,null,null,"Vehicles","People","Occupancy"]
[null,null,null,null,null,null,null,null,null,null,null,null,1995,772,1138,1.4740932642487046,null,{"$f":"ROW()","v":13}]
[null,"Figures for Queensboro Bridge Ramp require special explanation.",null,null,null,null,null,null,null,null,null,null,1996,776,1147,1.4780927835051547,null,{"$f":"ROW()","v":14},null,"60th St Cordon Line Inbound volume",null,null,null,null,248368,null,"60th St Cordon Line Inbound, autos ",null,null,null,200470,246388,{"$f":"AF14/AE14","v":1.2290517284381703}]
[null,null,null,null,null,null,null,null,null,null,null,null,1997,809,1233,1.5241038318912237,null,{"$f":"ROW()","v":15},null,"Average Occupancy Rate, autos",null,null,null,null,1.39,null,"60th St Cordon Line Inbound, taxis",null,null,null,73418,115506,{"$f":"AF15/AE15","v":1.5732654117518865}]
[null,"The QBB has separate upper and lower roadways. All inbound (westbound) traffic on the upper roadway enters Manhattan on a dedicated off-ramp that curves right (north) and touches down on the Manhattan street system at 62nd St ─ two blocks north of the 60th St northern boundary of the proposed Central Business District cordon zone which also serves as the boundary of the \"Hub\" as defined by NYMTC.",null,null,null,null,null,null,null,null,null,null,1998,836,1316,1.5741626794258374,null,{"$f":"ROW()","v":16},null,"Average Occupancy Rate, taxis",null,null,null,null,1.65,null,"60th St Cordon Line Inbound, taxis + autos",null,null,null,{"$f":"AE14+AE15","v":273888},{"$f":"AF14+AF15","v":361894},{"$f":"AF16/AE16","v":1.3213211239630798}]
[null,null,null,null,null,null,null,null,null,null,null,null,1999,844,1302,1.5426540284360191,null,{"$f":"ROW()","v":17},null,"Average Vehicular Percentage, autos",null,null,null,null,0.46600000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,2000,825,1268,1.5369696969696969,null,{"$f":"ROW()","v":18},null,"Average Vehicular Percentage, taxis",null,null,null,null,0.34200000000000003,null,"Brooklyn Sector Inbound, autos",null,null,null,109699,132678,{"$f":"AF18/AE18","v":1.2094731948331343}]
[null,{"$f":"CONCATENATE(\"Of the \",INT(E77/1000), \",\",E77-1000*INT(E77/1000), \" motor vehicles that entered Manhattan on the QBB (shown in Cell E\",R77, \", below) on a typical fall day in 2015, the most recent year of NYMTC's annual 'Hub-Bound' reports, \", INT(J48/1000), \",\",J48-1000*INT(J48/1000), \" did so on the upper roadway. We know this from Cell J\",R48, \", which shows that number of vehicles (\", INT(J48/1000), \",\",J48-1000*INT(J48/1000), \") leaving the Hub on the Queensboro Bridge Ramp.\")","v":"Of the 77,649 motor vehicles that entered Manhattan on the QBB (shown in Cell E77, below) on a typical fall day in 2015, the most recent year of NYMTC's annual 'Hub-Bound' reports, 33,49 did so on the upper roadway. We know this from Cell J48, which shows that number of vehicles (33,49) leaving the Hub on the Queensboro Bridge Ramp."},null,null,null,null,null,null,null,null,null,null,2001,689,998,1.4484760522496372,null,{"$f":"ROW()","v":19},null,"Wghtd Avg Occupancy Rate, autos + taxis",null,null,null,null,{"$f":"(Y15*Y17+Y16*Y18)/(Y17+Y18)","v":1.5000495049504949},null,"Brooklyn Sector Inbound, taxis",null,null,null,10329,11829,{"$f":"AF19/AE19","v":1.1452221899506245}]
[null,null,null,null,null,null,null,null,null,null,null,null,2002,785,1136,1.4471337579617833,null,{"$f":"ROW()","v":20},null,null,null,null,null,null,null,null,"Brooklyn Sector Inbound, taxis + autos",null,null,null,{"$f":"AE18+AE19","v":120028},{"$f":"AF18+AF19","v":144507},{"$f":"AF20/AE20","v":1.2039440797147332}]
[null,null,null,null,null,null,null,null,null,null,null,null,2003,810,1179,1.4555555555555555,null,{"$f":"ROW()","v":21},null,"East/Hudson River Crossings Inbound volume",null,null,null,null,{"$f":"Y22+Y23","v":296416}]
[null,{"$f":"CONCATENATE(\"Yes, you read that (Rows \",R19, \"-\",R21, \") correctly. NYMTC's Hub-Bound Report 'handles' the Upper Roadway mismatch (the fact that vehicles entering Manhattan via the Upper Roadway don't actually enter the Hub) by treating each and every such *entry* to Manhattan \" & \" as an *exit* from the Hub. While this is geographically correct -- technically, the vehicles enter the Hub when the QBB crosses over the FDR Drive and then leave it when the exit ramp crosses over 60th Street -- it's potentially confusing.\")","v":"Yes, you read that (Rows 19-21) correctly. NYMTC's Hub-Bound Report 'handles' the Upper Roadway mismatch (the fact that vehicles entering Manhattan via the Upper Roadway don't actually enter the Hub) by treating each and every such *entry* to Manhattan  as an *exit* from the Hub. While this is geographically correct -- technically, the vehicles enter the Hub when the QBB crosses over the FDR Drive and then leave it when the exit ramp crosses over 60th Street -- it's potentially confusing."},null,null,null,null,null,null,null,null,null,null,2004,815,1172,1.4380368098159508,null,{"$f":"ROW()","v":22},null,"Number of vehicles at East River crossings",null,null,null,null,214536,null,"Queens Sector Inbound, autos",null,null,null,70097,86197,{"$f":"AF22/AE22","v":1.2296817267500748}]
[null,null,null,null,null,null,null,null,null,null,null,null,2005,798,1016,1.2731829573934836,null,{"$f":"ROW()","v":23},null,"Number of vehicles at Hudson River crossings",null,null,null,null,81880,null,"Queens Sector Inbound, taxis",null,null,null,12707,19210,{"$f":"AF23/AE23","v":1.5117651688045959}]
[null,null,null,null,null,null,null,null,null,null,null,null,2006,794,1009,1.2707808564231737,null,{"$f":"ROW()","v":24},null,"Separate East & Hudson #'s are from text on pp 9 & 13. ",null,null,null,null,null,null,"Queens Sector Inbound, autos + taxis",null,null,null,{"$f":"AE22+AE23","v":82804},{"$f":"AF22+AF23","v":105407},{"$f":"AF24/AE24","v":1.2729699048355152}]
[null,null,null,null,null,null,null,null,null,null,null,null,2007,783,993,1.2681992337164751,null,{"$f":"ROW()","v":25},null,"Average Occupancy Rate, autos",null,null,null,null,1.33]
[null,{"$f":"CONCATENATE(\"The import of all this is that the ostensible number of vehicles entering the Hub, \",INT(E77/1000), \",\",E77-1000*INT(E77/1000), \", must be reduced by \", INT(J48/1000), \",\",J48-1000*INT(J48/1000), \" to reflect the number using the Upper Roadway that enter Manhattan north of the Hub at 62nd Street.\")","v":"The import of all this is that the ostensible number of vehicles entering the Hub, 77,649, must be reduced by 33,49 to reflect the number using the Upper Roadway that enter Manhattan north of the Hub at 62nd Street."},null,null,null,null,null,null,null,null,null,null,2008,739,939,1.27063599458728,null,{"$f":"ROW()","v":26},null,"Average Occupancy Rate, taxis",null,null,null,null,1.48,null,"NJ Sector Inbound, autos",null,null,null,69033,97895,{"$f":"AF26/AE26","v":1.4180898990337953}]
[null,null,null,null,null,null,null,null,null,null,null,null,2009,750,951,1.268,null,{"$f":"ROW()","v":27},null,"Average Vehicular Percentage, autos",null,null,null,null,0.68500000000000005,null,"NJ Sector Inbound, taxis",null,null,null,2249,2358,{"$f":"AF27/AE27","v":1.0484659848821698}]
[null,{"$f":"CONCATENATE(\"Of course, many of those \", INT(J48/1000), \",\",J48-1000*INT(J48/1000), \" vehicles do turn south from 62nd Street and enter the Hub and thus will be subject to the cordon toll. We treat this in Rows \",R91, \"-\",R95, \", below.\")","v":"Of course, many of those 33,49 vehicles do turn south from 62nd Street and enter the Hub and thus will be subject to the cordon toll. We treat this in Rows 91-95, below."},null,null,null,null,null,null,null,null,null,null,2010,767,974,1.2698826597131683,null,{"$f":"ROW()","v":28},null,"Average Vehicular Percentage, taxis",null,null,null,null,8.6999999999999994E-2,null,"NJ Sector Inbound, autos + taxis",null,null,null,{"$f":"AE26+AE27","v":71282},{"$f":"AF26+AF27","v":100253},{"$f":"AF28/AE28","v":1.4064279902359642}]
[null,null,null,null,null,null,null,null,null,null,null,null,2011,758.91099999999994,951,1.2531113661549247,null,{"$f":"ROW()","v":29},null,"Figures in above four rows are from Table 3 (p. 17)."]
[null,null,null,null,null,null,null,null,null,null,null,null,2012,751.35299999999995,940,1.2510763915230259,null,{"$f":"ROW()","v":30},null,"Wghtd Avg Occupancy Rate, autos + taxis",null,null,null,null,{"$f":"(Y25*Y27+Y26*Y28)/(Y27+Y28)","v":1.3469041450777204},null,"All Sectors Inbound, autos",null,null,null,{"$f":"AE14+AE18+AE22+AE26","v":449299},563158,{"$f":"AF30/AE30","v":1.2534147638877451}]
[null,null,null,null,null,null,null,null,null,null,null,null,2013,746.69100000000003,null,null,null,{"$f":"ROW()","v":31},null,"Calculated by Komanoff from occupancies and %'s directly above.",null,null,null,null,null,null,"All Sectors Inbound, taxis",null,null,null,98703,148903,{"$f":"AF31/AE31","v":1.5085964965603882}]
[null,null,null,null,null,null,null,null,null,null,null,null,2014,730.13499999999999,null,null,null,{"$f":"ROW()","v":32},null,null,null,null,null,null,null,null,"All Sectors Inbound, autos + taxis",null,null,null,548002,712061,{"$f":"AF32/AE32","v":1.2993766446107862}]
[null,null,null,null,null,null,null,null,null,null,null,null,2015,735.255,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,2016,{"$f":"E86/1000","v":709.47400000000005},null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,2017,{"$f":"E87/1000","v":0},null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36},null,"All-sector Wghtd-avg Occupancy, autos + taxis",null,null,null,null,{"$f":"(Y14*Y19+Y21*Y30)/(Y14+Y21)","v":1.4167233885593227},null,"All-sector Wghtd-avg Occupancy, autos + taxis",null,null,null,null,null,{"$f":"AG32","v":1.2993766446107862}]
[null,null,"Entering the Hub",null,null,null,null,"Leaving the Hub",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37},null,"Calculated by Komanoff from respective occupancies and volumes shown or calculated for the two sectors directly above."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38},null,null,null,null,null,null,null,null,"Bklyn + Queens + NJ Sectors, autos",null,null,null,{"$f":"AE18+AE22+AE26","v":248829},{"$f":"AF18+AF22+AF26","v":316770},{"$f":"AF38/AE38","v":1.2730429330986339}]
[null,null,"Auto-Taxi-Van-Truck","Bus","Total","Taxi (part of Col. C)",null,"Auto-Taxi-Van-Truck","Bus","Total","Taxi (part of Col. I)",null,"Auto-Taxi-Van-Truck","Bus","Total","Taxi (part of Col. C)",null,{"$f":"ROW()","v":39},null,null,null,null,null,null,null,null,"Bklyn + Queens + NJ Sectors, taxis",null,null,null,{"$f":"AE19+AE23+AE27","v":25285},{"$f":"AF19+AF23+AF27","v":33397},{"$f":"AF39/AE39","v":1.3208226221079691}]
[null,"Number of (one-way) trips, by sector",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40},null,"Source: NYMTC Hub-Bound Vehicle Classification & Occupancy Survey, 1996 (hardcopy provided by NYMTC). Occupancies and %'s are from pp. 13-14. Numbers of vehicles are from pp. 9 & 12. Survey period was 6 am - 8 pm. Weighted avg's calculated by Komanoff. %'s don't sum to 100% because of trucks, vans, buses (not included here).",null,null,null,null,null,null,"Bklyn + Queens + NJ Sectors, autos + taxis",null,null,null,{"$f":"AE38+AE39","v":274114},{"$f":"AF38+AF39","v":350167},{"$f":"AF40/AE40","v":1.2774502579218865}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42},null,null,null,null,null,null,null,null,"Data are from NYMTC Vehicle Classification & Occupancy Survey Report, 2006 (web-available), Table Sum-2. (\"Vehicle Classification Counts by Sector and by Facility, Avg Vehicle Number & Occupancy Rate\") Survey period was 6 am - 8 pm."]
[null,"60th Street Sector",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"FDR Drive",81270,0,{"$f":"C44+D44","v":81270},null,null,66200,null,{"$f":"H44+I44","v":66200},null,null,{"$f":"C44+H44","v":147470},{"$f":"D44+I44","v":0},147470,0,null,{"$f":"ROW()","v":44}]
[null,"York Avenue",10809,105,10914,null,null,12581,95,{"$f":"H45+I45","v":12676},null,null,{"$f":"C45+H45","v":23390},200,23590,0,null,{"$f":"ROW()","v":45}]
[null,"First Avenue",null,null,0,null,null,31410,279,31689,null,null,31410,279,31689,0,null,{"$f":"ROW()","v":46}]
[null,"Second Avenue",42791,284,43075,null,null,null,null,0,null,null,42791,284,43075,0,null,{"$f":"ROW()","v":47}]
[null,"Queensboro Bridge Ramp",0,0,0,null,null,33049,null,33049,null,null,33049,0,33049,0,null,{"$f":"ROW()","v":48}]
[null,"Third Avenue",null,null,0,null,null,23944,345,24289,null,null,{"$f":"C49+H49","v":23944},345,24289,0,null,{"$f":"ROW()","v":49}]
[null,"Lexington Avenue",22435,361,22796,null,null,null,null,0,null,null,22435,361,22796,0,null,{"$f":"ROW()","v":50}]
[null,"Park Avenue",17553,0,17553,null,null,16374,null,16374,null,null,33927,0,33927,0,null,{"$f":"ROW()","v":51}]
[null,"Madison Avenue",null,null,0,null,null,21580,691,22271,null,null,21580,691,22271,0,null,{"$f":"ROW()","v":52}]
[null,"Fifth Avenue",16097,708,16805,null,null,null,null,0,null,null,16097,708,16805,0,null,{"$f":"ROW()","v":53}]
[null,"Central Park Drive from 6th Ave.",null,null,0,null,null,3221,null,3221,null,null,3221,0,3221,0,null,{"$f":"ROW()","v":54}]
[null,"Central Park Drive & 7th Ave.",1023,0,1023,null,null,null,null,0,null,null,1023,0,1023,0,null,{"$f":"ROW()","v":55}]
[null,"Central Park West",null,null,0,null,null,13096,126,13222,null,null,13096,126,13222,0,null,{"$f":"ROW()","v":56}]
[null,"Broadway between 60th & W 61st Street",15434,475,15909,null,null,13297,330,13627,null,null,28731,805,29536,0,null,{"$f":"ROW()","v":57}]
[null,"Columbus Avenue",19670,88,19758,null,null,null,null,0,null,null,19670,88,19758,0,null,{"$f":"ROW()","v":58}]
[null,"Amsterdam Avenue",null,null,0,null,null,20760,84,20844,null,null,20760,84,20844,0,null,{"$f":"ROW()","v":59}]
[null,"West End Avenue",12095,82,12177,null,null,9087,83,9170,null,null,21182,165,21347,0,null,{"$f":"ROW()","v":60}]
[null,"West Side Highway",61859,0,61859,null,null,51767,0,51767,null,null,113626,0,113626,0,null,{"$f":"ROW()","v":61}]
[null,"60th Street Sector Subtotals",{"$f":"SUM(C44:C61)","v":301036},{"$f":"SUM(D44:D61)","v":2103},{"$f":"SUM(E44:E61)","v":303139},{"$f":"Approaches!$I$188","v":74317.121562568369},null,{"$f":"SUM(H44:H61)","v":316366},{"$f":"SUM(I44:I61)","v":2033},{"$f":"SUM(J44:J61)","v":318399},null,null,617402,4136,621538,74317.121562568369,null,{"$f":"ROW()","v":62}]
[null,{"$f":"CONCATENATE(\"'Taxis figure is from Approaches' Cell I\",Approaches!O188, \".\")","v":"'Taxis figure is from Approaches' Cell I188."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"New Jersey Sector ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Eastbound - Inbound",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Holland Tunnel",41717,625,{"$f":"C67+D67","v":42342},null,null,44087,496,{"$f":"H67+I67","v":44583},null,null,{"$f":"C67+H67","v":85804},1121,86925,0,null,{"$f":"ROW()","v":67}]
[null,"Lincoln Tunnel",47528,7342,{"$f":"C68+D68","v":54870},null,null,51477,7223,{"$f":"H68+I68","v":58700},null,null,99005,14565,113570,0,null,{"$f":"ROW()","v":68}]
[null,"New Jersey Sector Subtotals",{"$f":"SUM(C67:C68)","v":89245},{"$f":"SUM(D67:D68)","v":7967},{"$f":"C69+D69","v":97212},{"$f":"Approaches!$J$188","v":314.65183112810536},null,{"$f":"SUM(H67:H68)","v":95564},{"$f":"SUM(I67:I68)","v":7719},{"$f":"H69+I69","v":103283},null,null,184809,15686,200495,314.65183112810536,null,{"$f":"ROW()","v":69}]
[null,{"$f":"CONCATENATE(\"'Taxis figure is from Approaches' Cell J\",Approaches!O188, \".\")","v":"'Taxis figure is from Approaches' Cell J188."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"East River bridges",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Westbound - Inbound",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Williamsburg Bridge ",50266,28,{"$f":"C74+D74","v":50294},null,null,55086,29,{"$f":"H74+I74","v":55115},null,null,{"$f":"C74+H74","v":105352},57,105409,0,null,{"$f":"ROW()","v":74}]
[null,"Manhattan Bridge",41724,null,{"$f":"C75+D75","v":41724},null,null,38549,null,{"$f":"H75+I75","v":38549},null,null,80273,0,80273,0,null,{"$f":"ROW()","v":75}]
[null,"Brooklyn Bridge",64429,null,{"$f":"C76+D76","v":64429},null,null,51552,0,{"$f":"H76+I76","v":51552},null,null,115981,0,115981,0,null,{"$f":"ROW()","v":76}]
[null,"Queensboro Bridge",77408,241,{"$f":"C77+D77","v":77649},null,null,90621,552,{"$f":"H77+I77","v":91173},null,null,168029,793,168822,0,null,{"$f":"ROW()","v":77}]
[null,"East River bridges subtotals",{"$f":"SUM(C74:C77)","v":233827},{"$f":"SUM(D74:D77)","v":269},{"$f":"C78+D78","v":234096},null,null,{"$f":"SUM(H74:H77)","v":235808},{"$f":"SUM(I74:I77)","v":581},{"$f":"H78+I78","v":236389},null,null,469635,850,470485,0,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"East River tunnels",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Westbound - Inbound",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Queens Midtown Tunnel",45578,424,{"$f":"C82+D82","v":46002},null,null,36814,56,{"$f":"H82+I82","v":36870},null,null,{"$f":"C82+H82","v":82392},480,82872,0,null,{"$f":"ROW()","v":82}]
[null,"Brooklyn Battery Tunnel",28403,622,{"$f":"C83+D83","v":29025},null,null,26636,644,{"$f":"H83+I83","v":27280},null,null,55039,1266,56305,0,null,{"$f":"ROW()","v":83}]
[null,"East River tunnels subtotals",{"$f":"C82+C83","v":73981},{"$f":"D82+D83","v":1046},{"$f":"C84+D84","v":75027},null,null,{"$f":"H82+H83","v":63450},{"$f":"I82+I83","v":700},{"$f":"H84+I84","v":64150},null,null,{"$f":"C84+H84","v":137431},1746,139177,0,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Total Veh. CBD entries or departures, unadj'ed",{"$f":"C62+C69+C78+C84","v":698089},{"$f":"D62+D69+D78+D84","v":11385},{"$f":"C86+D86","v":709474},{"$f":"'Motor Vs'!L85","v":32900},null,{"$f":"H62+H69+H78+H84","v":711188},{"$f":"I62+I69+I78+I84","v":11033},{"$f":"H86+I86","v":722221},null,null,{"$f":"C86+H86","v":1409277},{"$f":"D86+I86","v":22418},{"$f":"E86+J86","v":1431695},null,null,{"$f":"ROW()","v":86}]
[null,{"$f":"CONCATENATE(\"Taxis figure is from 'Motor Vs', Cell L\",'Motor Vs'!$O$90, \".\")","v":"Taxis figure is from 'Motor Vs', Cell L90."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Adjust for QBB in-bound trips that don't directly enter CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"QBB entries that enter Manhattan at 62nd St.",{"$f":"H48","v":33049},{"$f":"I48","v":0},{"$f":"C91+D91","v":33049},null,null,0,0,0,null,null,{"$f":"C91+H91","v":33049},{"$f":"D91+I91","v":0},{"$f":"E91+J91","v":33049},null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"From Row \",R48, \". These are all trips using the inbound upper roadway.\")","v":"From Row 48. These are all trips using the inbound upper roadway."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Share of above trips that re-enter CBD via 60th St.",0.35,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"Komanoff estimate, specified in consultation with Sam Schwartz.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Number of above trips that re-enter CBD via 60th St.",{"$f":"$C$93*E91","v":11567.15},{"$f":"$C$93*F91","v":0},{"$f":"C95+D95","v":11567.15},null,null,{"$f":"$C$93*J91","v":0},{"$f":"$C$93*K91","v":0},{"$f":"$C$93*L91","v":0},null,null,{"$f":"C95+H95","v":11567.15},0,11567.15,null,null,{"$f":"ROW()","v":95}]
[null,{"$f":"CONCATENATE(\"Product of % in Cell C\",R93, \" and figures in Row \",R91, \".\")","v":"Product of % in Cell C93 and figures in Row 91."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Number of above trips that don't re-enter CBD ",{"$f":"C91-C95","v":21481.85},{"$f":"D91-D95","v":0},{"$f":"C97+D97","v":21481.85},null,null,{"$f":"H91-H95","v":0},{"$f":"I91-I95","v":0},{"$f":"J91-J95","v":0},null,null,21481.85,0,21481.85,null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Row \",R91, \" less Row \",R95, \".\")","v":"Row 91 less Row 95."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Summary",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Direct vehicle CBD entries + departures ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"60th Street Sector",{"$f":"C62","v":301036},{"$f":"D62","v":2103},303139,74317.121562568369,0,316366,2033,318399,0,0,617402,4136,621538,74317.121562568369,null,{"$f":"ROW()","v":102}]
[null,"NJ Sector (Lincoln & Holland Tunnels)",{"$f":"C69","v":89245},{"$f":"D69","v":7967},97212,314.65183112810536,0,95564,7719,103283,0,0,184809,15686,200495,314.65183112810536,null,{"$f":"ROW()","v":103}]
[null,"East River bridges",{"$f":"C78-C91","v":200778},269,201047,0,0,235808,581,236389,0,0,436586,850,437436,0,null,{"$f":"ROW()","v":104}]
[null,"East River tunnels",{"$f":"C84","v":73981},{"$f":"D84","v":1046},75027,0,0,63450,700,64150,0,0,137431,1746,139177,0,null,{"$f":"ROW()","v":105}]
[null,"Direct vehicle CBD entries + departures ",{"$f":"SUM(C102:C105)","v":665040},11385,676425,74631.77339369648,0,711188,11033,722221,null,null,{"$f":"SUM(M102:M105)","v":1376228},{"$f":"SUM(N102:N105)","v":22418},{"$f":"SUM(O102:O105)","v":1398646},{"$f":"SUM(P102:P105)","v":74631.77339369648},null,{"$f":"ROW()","v":106}]
[null,"Shares",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,"60th Street Sector",null,null,null,null,null,"60th Street Sector",null,null,null,null,{"$f":"M102/M$106","v":0.44861897883199586},null,{"$f":"O102/O$106","v":0.44438549854645137},null,null,{"$f":"ROW()","v":108}]
[null,"NJ Sector (Lincoln & Holland Tunnels)",null,null,null,null,null,"NJ Sector (Lincoln & Holland Tunnels)",null,null,null,null,{"$f":"M103/M$106","v":0.13428661529920916},null,{"$f":"O103/O$106","v":0.14334935358911405},null,null,{"$f":"ROW()","v":109}]
[null,"East River bridges",null,null,null,null,null,"East River bridges",null,null,null,null,{"$f":"M104/M$106","v":0.31723377231098338},null,{"$f":"O104/O$106","v":0.31275676618672632},null,null,{"$f":"ROW()","v":110}]
[null,"East River tunnels",null,null,null,null,null,"East River tunnels",null,null,null,null,{"$f":"M105/M$106","v":9.9860633557811648E-2},null,{"$f":"O105/O$106","v":9.9508381677708299E-2},null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Indirect vehicle entries to CBD",{"$f":"C95","v":11567.15},{"$f":"D95","v":0},{"$f":"E95","v":11567.15},null,null,{"$f":"H95","v":0},{"$f":"I95","v":0},{"$f":"J95","v":0},null,null,{"$f":"C113+H113","v":11567.15},0,11567.15,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Inbound QBB trips that don't enter CBD",{"$f":"C91-C113","v":21481.85},{"$f":"D91-D113","v":0},{"$f":"E91-E113","v":21481.85},null,null,{"$f":"H91-H113","v":0},{"$f":"I91-I113","v":0},{"$f":"J91-J113","v":0},null,null,21481.85,0,21481.85,null,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Entries to Hub on the four East River bridges (unadj'd):",null,null,{"$f":"SUM(E74:E77)","v":234096},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Entries to Hub on the two East River tunnels:",null,null,{"$f":"E83+E82","v":75027},{"$f":"Approaches!L188","v":2184.2089778256973},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,{"$f":"E119-F119","v":72842.791022174308},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Share of entries to Hub that are on the two East River tunnels:",null,null,null,{"$f":"E119/$E$86","v":0.10575017548211774},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Adjust for possibility of exempting Bklyn Bridge trips that exit onto FDR Drive and never enter the CBD/cordon.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Share of inbound Bklyn Bridge trips that go directly onto FDR northbound",null,null,0.5,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Sam Schwartz, email of Jan 16, 2018, intentionally conservative (i.e., on high side).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Share of those FDR northbound trips that exit FDR south of 63rd St.",null,null,0.5,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Sam Schwartz, email of Jan 16, 2018.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Share of inbound Bklyn Bridge trips that avoid entering CBD/cordon",null,null,{"$f":"E125*(1-E127)","v":0.25},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",R125, \" and \",R127, \".\")","v":"Product of Rows 125 and 127."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Number of Bklyn Bridge trips (one-way in either direction) that avoid entering CBD/cordon",null,null,{"$f":"E129*O76","v":28995.25},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,{"$f":"CONCATENATE(\"Product of Row \",R129, \" and Cell O\",R76, \", which has total daily Bklyn Bridge trips in either direction. Note we assume same exemption rate for southbound as for northbound.\")","v":"Product of Row 129 and Cell O76, which has total daily Bklyn Bridge trips in either direction. Note we assume same exemption rate for southbound as for northbound."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"2. Commuter Rail (2015 data)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"All figures here are from NYMTC \"Hub-Bound Travel Report, 2015,\" Table 14C [15C], \"Where, When and How People Entered [Left] the Hub on a Fall Business Day in 2015\" (p. 33 [36] of 98).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Metro-North",null,null,109174,null,null,null,null,108473,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"LIRR",null,null,120067,null,null,null,null,118889,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"NJ Transit + Amtrak from West",null,null,97090,null,null,null,null,97287,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Amtrak from North",null,null,1924,null,null,null,null,1895,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Commuter Rail Total",null,null,{"$f":"SUM(E139:E142)","v":328255},null,null,null,null,{"$f":"SUM(J139:J142)","v":326544},null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"3. PATH Train (2015 data)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,"Same source as Commuter Rail",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Uptown Path Tunnel",null,null,67274,null,null,null,null,68478,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Downtown Path Tunnel",null,null,54908,null,null,null,null,54877,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"PATH Total",null,null,{"$f":"SUM(E147:E148)","v":122182},null,null,null,null,{"$f":"SUM(J147:J148)","v":123355},null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"4. Bicycle",null,null,29218,null,null,null,null,29230,null,null,null,null,{"$f":"E151+J151","v":58448},null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"5. Ferry",null,null,{"$f":"SUM(E154:E158)","v":53728},null,null,null,null,{"$f":"SUM(J154:J158)","v":54331},null,null,null,null,{"$f":"E153+J153","v":108059},null,null,{"$f":"ROW()","v":153}]
[null,"Brooklyn Ferry",null,null,249,null,null,null,null,219,null,null,null,null,{"$f":"E154+J154","v":468},null,null,{"$f":"ROW()","v":154}]
[null,"Queens Ferry",null,null,0,null,null,null,null,948,null,null,null,null,948,null,null,{"$f":"ROW()","v":155}]
[null,"NJ Ferry",null,null,16997,null,null,null,null,17890,null,null,null,null,34887,null,null,{"$f":"ROW()","v":156}]
[null,"S.I. Ferry (incl. bicyclists on that ferry)",null,null,36826,null,null,null,null,35630,null,null,null,null,72456,null,null,{"$f":"ROW()","v":157}]
[null,"Net S.I. Bicycle (to avoid double-counting w/ bicycle)",null,null,-344,null,null,null,null,-356,null,null,null,null,-700,null,null,{"$f":"ROW()","v":158}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,"6. Tramway (Section F)",null,null,3779,null,null,null,null,3901,null,null,null,null,7680,null,null,{"$f":"ROW()","v":160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]

{"sheet":"Trip Price","index":62,"n_rows":75,"n_cols":17,"rows_kept":75,"cut":false,"hidden":false,"merged":[[3,1,6,9],[22,1,24,9],[8,10,10,10],[8,11,10,11]]}
[null,"Trip Price",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."}]
[]
[null,"This worksheet was created during early development of the BTA, in 2007, to estimate historical (late 1970s to 2005) out-of-pocket costs for CBD-bound round-trips by auto via East River crossings, as part of estimating the price-elasticity of such trips. Although that analysis has been somewhat superseded -- see Elasticity worksheet -- several data points here are still used as inputs into the Motor Vs tab, including the per-mile cost of insurance, wear and maintenance in Row 22."]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,"Used in historical analysis","Used going forward (traffic analysis)"]
[]
[null,"Constants"]
[]
[null,"NYC fuel-economy penalty (vs. US average)",null,null,null,null,null,null,null,null,0.22500000000000001,"NA"]
[null,"KEA estimates. "]
[null,"NYC gasoline price premium",null,null,null,null,null,null,null,null,0.15,0.05]
[null,"Historical: KEA estimate. Forward: Based on 2011 NYC premiums over USA shown at right."]
[null,"One-way distance (miles) for trips across East River bridges",null,null,null,null,null,null,null,null,11.3,11.3]
[null,"KEA estimate from 2003 analysis for \"The Hours: Time Savings from Tolling the East River Bridges\""]
[null,"Percentage of drivers who pay to park (at market rate)",null,null,null,null,null,null,null,null,0.4,0.5]
[null,"KEA estimates. Forward figure is intended to reflect NYC efforts to reduce free parking via placards."]
[null,"Per-mile Cost (perceived by drivers) of insurance, wear, maint. (1975)",null,null,null,null,null,null,null,null,0.05,"N.A.",null,"Graveyard Shift"]
[null,"Per-mile Cost (perceived by drivers) of insurance, wear, maint. (2005)",null,null,null,null,null,null,null,null,0.15,0.08,null,{"$f":"0.5*L22","v":0.04}]
[null,"KEA estimates. Reduced 2005 Forward figure reflects Komanoff 2008 reappraisal of drivers' perceptions of insurance, wear-and-tear and \"adverse events\" (crash, summons) probabilities. In mid-2008 work on Calif. road pricing, Komanoff assumed approximately $0.04. Higher figure here reflects NYC conditions."]
[]
[]
[]
[null,null,"US Gas","NYC Gas","Avg Car","Avg Lt Trk","Lt Trk %","Avg Veh","Miles per","Gasoline","Price to","Price to","Other","Toll","Trip","CPI (82-","Trip Cost"]
[null,"Year","Price","Price","MPG, EPA","MPG, EPA","NYC VMT","MPG, EPA","Gal., NYC","Cost","Park (mkt)","Park (avg)","costs","Cost","Cost","84=100)","2000 $"]
[null,1970,null,null,null,null,null,null,null,null,null,null,null,{"$f":"2*'Toll Rates'!P34","v":0.20899652063628399}]
[null,1971,null,null,null,null,null,null,null,null,null,null,null,{"$f":"2*'Toll Rates'!P35","v":0.21805618263939447},"calculated",null,"(adjusted"]
[null,1972,null,null,null,null,null,null,null,null,null,null,null,{"$f":"2*'Toll Rates'!P36","v":0.38148641070068384},"as sum of",null,"for"]
[null,1973,null,null,13.4,10.5,0,{"$f":"E32*(1-G32)+F32*G32","v":13.4},{"$f":"H32*(1-$K$13)","v":10.385},null,null,null,null,{"$f":"2*'Toll Rates'!P37","v":0.38027125288901542},"green cols.",null,"inflation)"]
[null,1974,null,null,13.6,11,0,13.6,{"$f":"H33*(1-$K$13)","v":10.54},null,null,null,null,{"$f":"2*'Toll Rates'!P38","v":0.37246848013672795}]
[null,1975,null,null,14,10.5,0,14,10.85,null,5,{"$f":"K34*$K$19","v":2},{"$f":"K21*$K$17*2","v":1.1300000000000001},{"$f":"2*'Toll Rates'!P39","v":0.38488570540821276},null,53.8]
[null,1976,null,null,13.8,10.8,0,13.8,10.695,null,{"$f":"K34+(K$59-K$34)/($B$59-$B$34)","v":5.4},{"$f":"K35*$K$19","v":2.16},{"$f":"M34+(M$64-M$34)/($B$64-$B$34)","v":1.2053333333333334},{"$f":"2*'Toll Rates'!P40","v":0.47867320455874357},null,56.9]
[null,1977,null,null,14.1,11.2,0,14.1,10.9275,null,5.8000000000000007,2.3200000000000003,1.2806666666666666,{"$f":"2*'Toll Rates'!P41","v":0.49808074944720881},null,60.6]
[null,1978,65.2,{"$f":"C37*(1+$K$15)","v":74.98},14.3,11.6,0,14.3,11.082500000000001,{"$f":"D37*$K$17*2/(I37*100)","v":1.5290304534175501},6.2000000000000011,2.4800000000000004,1.3559999999999999,{"$f":"2*'Toll Rates'!P42","v":0.51225508749872462},{"$f":"J37+N37+L37+M37","v":5.877285540916275},65.2,{"$f":"P$59/P37*O37","v":15.522524081990527}]
[null,1979,88.2,{"$f":"C38*(1+$K$15)","v":101.42999999999999},14.6,11.9,0,14.6,11.315,2.025910737958462,6.6000000000000014,2.6400000000000006,1.4313333333333331,{"$f":"2*'Toll Rates'!P43","v":0.54522438914667981},6.6424684604384758,72.599999999999994,15.755276430957375]
[null,1980,122.1,140.41499999999999,16,12.2,0,16,12.4,2.5591766129032258,7.0000000000000018,2.8000000000000007,1.5066666666666664,{"$f":"2*'Toll Rates'!P44","v":0.65780703576343147},7.5236503153333238,82.4,15.722968256072795]
[null,1981,135.30000000000001,155.595,16.5,12.5,{"$f":"(B40-1980)/100","v":0.01},16.46,12.756500000000001,2.7565923254811273,7.4000000000000021,2.9600000000000009,1.5819999999999996,{"$f":"2*'Toll Rates'!P45","v":0.7423490580150679},8.0409413834961949,90.9,15.232674436062098]
[null,1982,128.1,147.31499999999997,16.899999999999999,13.5,{"$f":"(B41-1980)/100","v":0.02},16.831999999999997,13.044799999999999,2.5522192751134551,7.8000000000000025,3.120000000000001,1.6573333333333329,{"$f":"2*'Toll Rates'!P46","v":0.91299374026145907},8.2425463487082489,96.5,14.708460945570575]
[null,1983,122.5,140.875,17.100000000000001,13.7,0.03,16.998000000000001,13.173450000000001,2.4168118450367975,8.2000000000000028,3.2800000000000011,1.7326666666666661,{"$f":"2*'Toll Rates'!P47","v":1.0321437038161836},8.4616222155196485,99.6,14.629431179844211]
[null,1984,119.8,137.76999999999998,17.399999999999999,14,0.04,17.263999999999996,13.379599999999996,2.3271263714909272,8.6000000000000032,3.4400000000000013,1.8079999999999994,{"$f":"2*'Toll Rates'!P48","v":1.0420831886547635},8.6172095601456906,103.9,14.281842986112489]
[null,1985,119.6,137.54,17.5,14.3,0.05,17.34,13.438499999999999,2.3130587491163448,9.0000000000000036,3.6000000000000014,1.8833333333333326,{"$f":"2*'Toll Rates'!P49","v":0.98919192914771681},8.7855840115973951,107.6,14.060200434917022]
[null,1986,93.1,107.06499999999998,17.399999999999999,14.6,0.06,17.231999999999999,13.354799999999999,1.8118346961392158,9.4000000000000039,3.7600000000000016,1.9586666666666659,{"$f":"2*'Toll Rates'!P50","v":1.1359061488440449},8.6664075116499291,109.6,13.616381145128813]
[null,1987,95.7,110.05499999999999,18,14.9,7.0000000000000007E-2,17.782999999999998,13.781824999999998,1.8047268776087348,9.8000000000000043,3.9200000000000017,2.0339999999999994,{"$f":"2*'Toll Rates'!P51","v":1.3426601329444587},9.1013870105531947,113.6,13.796292633954755]
[null,1988,96.3,110.74499999999999,18.8,15.4,0.08,18.528000000000002,14.359200000000001,1.7430198061173323,10.200000000000005,4.0800000000000018,2.1093333333333328,{"$f":"2*'Toll Rates'!P52","v":1.3646357816605623},9.2969889211112289,118.3,13.532895115937054]
[null,1989,106,121.89999999999999,19,16.100000000000001,0.09,18.739000000000001,14.522725000000001,1.896985586382721,10.600000000000005,4.240000000000002,2.1846666666666663,{"$f":"2*'Toll Rates'!P53","v":1.462732985198296},9.784385238247685,124,13.58767046795364]
[null,1990,121.7,139.95499999999998,20.2,16.100000000000001,0.1,19.79,15.337249999999999,2.0622882198568844,11.000000000000005,4.4000000000000021,2.2599999999999998,{"$f":"2*'Toll Rates'!P54","v":1.7018571086260805},10.424145328482966,130.69999999999999,13.734030800036471]
[null,1991,119.6,137.54,21.1,17,0.11,20.649000000000001,16.002975000000003,1.9423913366108485,11.400000000000006,4.5600000000000023,2.3353333333333333,{"$f":"2*'Toll Rates'!P55","v":1.7394589165229162},10.577183586467099,136.19999999999999,13.372914930907742]
[null,1992,119,136.85,21,17.3,0.12,20.556000000000001,15.930900000000001,1.9413906307867099,11.800000000000006,4.7200000000000024,2.4106666666666667,{"$f":"2*'Toll Rates'!P56","v":1.7638909985277968},10.835948295981176,140.30000000000001,13.299717010462995]
[null,1993,117.3,134.89499999999998,20.5,17.399999999999999,0.13,20.097000000000001,15.575175000000002,1.9573629188757107,12.200000000000006,4.8800000000000026,2.4860000000000002,{"$f":"2*'Toll Rates'!P57","v":2.0418400688780061},11.365202987753719,144.5,13.54386127675564]
[null,1994,117.4,135.01,20.7,17.3,0.14000000000000001,20.224,15.6736,1.9467295324622294,12.600000000000007,5.0400000000000027,2.5613333333333337,{"$f":"2*'Toll Rates'!P58","v":1.8832338674744347},11.431296733270001,148.19999999999999,13.282518876309677]
[null,1995,120.5,138.57499999999999,21.1,17.3,0.15,20.53,15.910750000000002,1.9683515861917253,13.000000000000007,5.2000000000000028,2.6366666666666672,{"$f":"2*'Toll Rates'!P59","v":1.9897840357228089},11.794802288581204,152.4,13.327197861507109]
[null,1996,128.80000000000001,148.12,21.2,17.2,0.16,20.56,15.933999999999999,2.1008610518388355,13.400000000000007,5.360000000000003,2.7120000000000006,{"$f":"2*'Toll Rates'!P60","v":2.215446336530877},12.388307388369714,156.9,13.59634501132737]
[null,1997,129.1,148.46499999999997,21.5,17.2,0.17,20.768999999999998,16.095974999999999,2.0845639981423929,13.800000000000008,5.5200000000000031,2.7873333333333341,{"$f":"2*'Toll Rates'!P61","v":2.1323160682914626},12.524213399767193,160.5,13.437193441993212]
[null,1998,111.5,128.22499999999999,21.6,17.2,0.18,20.808000000000003,16.126200000000004,1.7970042539469928,14.200000000000008,5.6800000000000033,2.8626666666666676,{"$f":"2*'Toll Rates'!P62","v":2.1659873328753161},12.50565825348898,163,13.211499087428233]
[null,1999,122.1,140.41499999999999,21.4,17,0.19,20.564,15.937100000000001,1.9911897396640541,14.600000000000009,5.8400000000000034,2.9380000000000011,{"$f":"2*'Toll Rates'!P63","v":2.2383630884963677},13.007552828160426,166.6,13.444781494653212]
[null,2000,156.30000000000001,179.745,21.9,17.399999999999999,0.2,21,16.275000000000002,2.4959981566820275,15,6,3.0133333333333345,{"$f":"2*'Toll Rates'!P64","v":2.2709644905881747},13.780295980603537,172.2,13.780295980603537]
[null,2001,153.1,176.06499999999997,22.1,17.600000000000001,0.21,21.155000000000005,16.395125000000004,2.4269830208674827,{"$f":"K59+(K$64-K$59)/($B$64-$B$59)","v":16},6.4,3.088666666666668,{"$f":"2*'Toll Rates'!P65","v":2.4013932137511675},14.317042901285319,177.1,13.920919184648966]
[null,2002,144.1,165.71499999999997,22,17.5,0.22,21.01,16.28275,2.3000776895794628,{"$f":"K60+(K$64-K$59)/($B$64-$B$59)","v":17},6.8000000000000007,3.1640000000000015,{"$f":"2*'Toll Rates'!P66","v":2.3401772111126791},14.604254900692144,179.9,13.979170060584698]
[null,2003,163.80000000000001,188.37,22.2,16.2,0.23,20.82,16.1355,2.6383824486380965,{"$f":"K61+(K$64-K$59)/($B$64-$B$59)","v":18},7.2,3.239333333333335,{"$f":"2*'Toll Rates'!P67","v":2.4586026992081655},15.536318481179595,184,14.53996762206047]
[null,2004,192.3,221.14499999999998,22.5,16.2,0.24,20.988,16.265699999999999,3.0726479647356091,{"$f":"K62+(K$64-K$59)/($B$64-$B$59)","v":19},7.6000000000000005,3.3146666666666684,{"$f":"2*'Toll Rates'!P68","v":2.5613084858176829},16.548623117219961,188.9,15.085616203204218]
[null,2005,233.8,268.87,22.9,16.2,0.25,21.224999999999998,16.449375,3.694038223336753,20,8,{"$f":"K22*$K$17*2","v":3.39},{"$f":"2*'Toll Rates'!P69","v":2.7562495881015567},17.840287811438309,195.3,15.730146242343453]
[null,2006,null,null,null,null,null,null,null,null,null,null,null,null,null,201.6]
[]
[null,"Gas price (cents/gal.): 1978-1997 are from Monthly Energy Review, May 1998 (hard copy available to KEA). 1998-2000 are from on-line MER. Both sets use Table 9.4, Motor Gasoline Retail Prices, U.S. City Average."]
[null,"Miles per gallon (US) columns are from Monthly Energy Review, Table 1.9."]
[null,"Light truck % of NYC VMT refers to share of \"passenger vehicle\" VMT by minivans, pickups and SUV's. Figures are KEA estimates."]
[null,"Average vehicle miles, EPA, denotes EPA-rated average mpg for passenger vehicles in NYC, weighted by shares of sedans and light trucks."]
[null,"Miles per gallon, NYC, denotes estimated actual on-road average for passenger vehicles in NYC."]
[null,"Toll Cost is derived in Toll Rates worksheet."]
[null,"Price to Park (market) is KEA estimate, interpolating linearly between 1975 and 2005 rates estimated by KEA."]
[null,"Other per-mile costs are calculated as linear interpolation of 1975 and 2005 values."]
[null,"CPI data are from Bureau of Labor Statistics, http://www.bls.gov/cpi/home.htm#data. \"All Urban Consumers,\" 1982-84=100."]

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[null,"H.I.S. (Household Interview Survey)",null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"This worksheet presents data from the NYMTC 1997-98 Household Interview Survey that informs some of the parameter estimates used in this spreadsheet. The data were compiled under the supervision of George Haikalis.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"1. Average Toll Cost",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"This section estimates the average tolls paid by drivers entering the CBD. It establishes that the average agrees with the L.I. figure to within 10%, indicating that the East River bridges toll average is a reasonable proxy for tolls paid from all directions.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"TABLE X-3: TRIPS TO AND FROM NEW YORK CITY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,"WORK",null,null,null,null,null,null,null,null,"NON-WORK",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,"Bus","Rail/Ferry","Mass Transit Total","Auto","Taxi","Auto+Taxi Total","Work Totals","%       Mass Transit",null,"Bus","Rail/Ferry","Mass Transit Total","Auto","Taxi","Auto+Taxi Total","Non-Work Totals","%       Mass Transit",null,"Grand Total by Mode of Travel","%       Mass Transit",null,null,null,{"$f":"ROW()","v":14}]
[null,"Long Island",1360,131836,{"$f":"C15+D15","v":133196},211672,3127,{"$f":"SUM(F15:G15)","v":214799},{"$f":"E15+H15","v":347995},{"$f":"E15/I15","v":0.38275262575611718},null,22684,24530,{"$f":"L15+M15","v":47214},339181,5540,{"$f":"SUM(O15:P15)","v":344721},{"$f":"N15+Q15","v":391935},{"$f":"N15/R15","v":0.12046385242450916},null,{"$f":"I15+R15","v":739930},{"$f":"(E15+N15)/U15","v":0.24382036138553648},null,null,null,{"$f":"ROW()","v":15}]
[null,"North of NYC",4982,102511,{"$f":"C16+D16","v":107493},110661,3354,{"$f":"SUM(F16:G16)","v":114015},{"$f":"E16+H16","v":221508},{"$f":"E16/I16","v":0.48527818408364481},null,9586,24239,{"$f":"L16+M16","v":33825},128082,2971,{"$f":"SUM(O16:P16)","v":131053},{"$f":"N16+Q16","v":164878},{"$f":"N16/R16","v":0.20515168791470056},null,{"$f":"I16+R16","v":386386},{"$f":"(E16+N16)/U16","v":0.3657430652249305},null,null,null,{"$f":"ROW()","v":16}]
[null,"West of Hudson R.",87386,143615,{"$f":"C17+D17","v":231001},185355,8515,{"$f":"SUM(F17:G17)","v":193870},{"$f":"E17+H17","v":424871},{"$f":"E17/I17","v":0.54369679267354087},null,29340,46311,{"$f":"L17+M17","v":75651},175650,6478,{"$f":"SUM(O17:P17)","v":182128},{"$f":"N17+Q17","v":257779},{"$f":"N17/R17","v":0.29347231543298719},null,{"$f":"I17+R17","v":682650},{"$f":"(E17+N17)/U17","v":0.44920823262286674},null,null,null,{"$f":"ROW()","v":17}]
[null,"Total ",{"$f":"SUM(C15:C17)","v":93728},377962,{"$f":"C18+D18","v":471690},{"$f":"SUM(F15:F17)","v":507688},{"$f":"SUM(G15:G17)","v":14996},{"$f":"SUM(F18:G18)","v":522684},{"$f":"E18+H18","v":994374},{"$f":"E18/I18","v":0.47435874228409031},null,{"$f":"SUM(L15:L17)","v":61610},95080,{"$f":"L18+M18","v":156690},{"$f":"SUM(O15:O17)","v":642913},{"$f":"SUM(P15:P17)","v":14989},{"$f":"SUM(O18:P18)","v":657902},{"$f":"N18+Q18","v":814592},{"$f":"N18/R18","v":0.19235396370207417},null,{"$f":"I18+R18","v":1808966},{"$f":"(E18+N18)/U18","v":0.3473697128635917},null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Source: NYMTC 1997/98 Household Interview Survey",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Same data reformatted to estimate tolls now paid by drivers",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"(taxis excluded)",null,null,null,null,null,"Estimated","Cross ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,"Work","Non-work","Combined",null,"Toll (2005)","Products",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Long Island",null,{"$f":"F15","v":211672},{"$f":"O15","v":339181},{"$f":"D25+E25","v":550853},null,{"$f":"'Trip Price'!N64","v":2.7562495881015567},{"$f":"F25*H25","v":1518288.3543545068},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"North of NYC",null,{"$f":"F16","v":110661},{"$f":"O16","v":128082},{"$f":"D26+E26","v":238743},null,0.5,{"$f":"F26*H26","v":119371.5},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"West of Hudson R.",null,{"$f":"F17","v":185355},{"$f":"O17","v":175650},{"$f":"D27+E27","v":361005},null,5,{"$f":"F27*H27","v":1805025},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"T O T A L",null,null,null,{"$f":"SUM(F25:F27)","v":1150601},null,null,{"$f":"SUM(I25:I27)","v":3442684.8543545068},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Average:",null,null,null,null,null,null,{"$f":"I28/F28","v":2.992075319206664},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Ratio, average to L.I. figure",null,null,null,null,null,null,{"$f":"I29/H25","v":1.0855603687427811},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Toll rates are for round trips. L.I. figure is from Price to Drive worksheet. North of NYC assumes token amount for NYS Thruway, CT Pike and Harlem Riv crossings. West of Hudson reflects Port Authority crossings discounts for off-peak and E-ZPass (see http://www.panynj.gov/CommutingTravel/bridges/pdfs/01_08_05_TollRatesFile.pdf).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"2. Work vs. Non-work Trips -- for all trips (whereas we need Work vs. Non-work for auto trips only)",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Table X-7: Trips to the Manhattan CBD from Non-CBD origins by Time of Arrival",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Presumably is transit plus motor v. trips combined.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Type","Work",null,"Non-Work",null,"Total",null,"Manh X-ings",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"12-6a",21561,{"$f":"C42/C47","v":1.4695017556868988E-2},18214,{"$f":"SUM(E42/E47)","v":2.3754406511529637E-2},{"$f":"C42+E42","v":39775},{"$f":"SUM(G42/G47)","v":1.7804426598985228E-2},{"$f":"SUM('Weekday Hours'!D35:D40)","v":0.10339971703132897},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"6-10a",1064813,{"$f":"C43/C47","v":0.72572912804518985},243745,{"$f":"SUM(E43/E47)","v":0.31788831751140834},1308558,{"$f":"SUM(G43/G47)","v":0.58574795377787325},{"$f":"SUM('Weekday Hours'!D41:D44)","v":0.25652470666060462},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"10a-4p",240448,{"$f":"C44/C47","v":0.16387865041111427},295228,{"$f":"SUM(E44/E47)","v":0.38503161993992929},535676,{"$f":"SUM(G44/G47)","v":0.23978388492364575},{"$f":"SUM('Weekday Hours'!D45:D50)","v":0.29935386238961403},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"4-8p",112047,{"$f":"C45/C47","v":7.6366246101502694E-2},154093,{"$f":"SUM(E45/E47)","v":0.20096561779845923},266140,{"$f":"SUM(G45/G47)","v":0.11913186914026218},{"$f":"SUM('Weekday Hours'!D51:D54)","v":0.20621756728802515},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"8p-12a",28363,{"$f":"C46/C47","v":1.9330957885324202E-2},55483,{"$f":"SUM(E46/E47)","v":7.2360038238673485E-2},83846,{"$f":"SUM(G46/G47)","v":3.7531865559233574E-2},{"$f":"SUM('Weekday Hours'!D55:D58)","v":0.1345041466304272},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Total ",{"$f":"SUM(C42:C46)","v":1467232},{"$f":"SUM(D42:D46)","v":1},{"$f":"SUM(E42:E46)","v":766763},{"$f":"SUM(F42:F46)","v":1},2233995,{"$f":"SUM(H42:H46)","v":1},{"$f":"SUM(I42:I46)","v":0.99999999999999989},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Source: NYMTC 1997/98 Household Interview Survey. Manhattan Crossings figures are from NYCDOT data in By Hour.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Same data reformatted to compare work to non-work trips.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,"Totals","Totals",null,null,"Re-apportioned to squeeze into:",{"$f":"'Motor Vs'!I51/'Motor Vs'!H35","v":0.5370215143894943},"Rounded",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Work trips",{"$f":"C47","v":1467232},{"$f":"C54/$C$56","v":0.65677497040056043},null,null,null,{"$f":"D54*$H$53","v":0.35270228921762425},{"$f":"ROUND(H54*200,-1)/200","v":0.35},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,"Non-work trips",{"$f":"E47","v":766763},{"$f":"C55/$C$56","v":0.34322502959943957},null,null,null,{"$f":"D55*$H$53","v":0.18431922517187005},{"$f":"ROUND(H55*200,-1)/200","v":0.2},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,"Total",{"$f":"G47","v":2233995},{"$f":"C56/$C$56","v":1},null,null,null,{"$f":"D56*$H$53","v":0.5370215143894943},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Re-apportionment is done to divide trips among work, non-work and taxi, in Traffic worksheet. Percentages are then rounded to nearest 5%.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,"3. Breakdown of Subway trips according to their relationship to the CBD cordon.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,"2004 counts",null,"1997/98 NYMTC HIS",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,"work","non-work ","total",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"Intra-CBD",389098,null,220662,89883,310545,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"To and from CBD",3139528,null,1320725,644776,1965501,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Non-CBD",1087587,null,554194,928845,1883701,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Total",4616213,null,2094067,1660962,3755029,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"CBD-related %",{"$f":"(C64+C65)/C67","v":0.76439843655394579},null,null,null,{"$f":"G65/G67","v":0.52343164327093084},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"Half of above",{"$f":"C69/2","v":0.3821992182769729},null,null,null,{"$f":"G69/2","v":0.26171582163546542},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Rounded down",{"$f":"FLOOR(C70*100,10)/100","v":0.3},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"4. Work vs. Non-Work Trips to the CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"TABLE X-1: WORK / NON-WORK TRIPS TO THE MANHATTAN CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,"WORK by Mode of Travel",null,null,null,null,null,null,null,null,"NON-WORK by Mode of Travel",null,null,null,null,null,null,null,null,"TOTALS",null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,"Bus","Revised Rail/Ferry","Mass Transit Total","Auto","Taxi","Auto + Taxi Total","Work Totals",null,null,"Bus","Revised Rail/Ferry","Mass Transit Total","Auto","Taxi","Auto + Taxi Total","Non-Work Totals",null,null,"Grand Total by Mode of Travel","% Mass Transit",null,null,{"$f":"ROW()","v":78}]
[null,"Area of Origin","Manhattan CBD",34389,220662,{"$f":"D79+E79","v":255051},58945,75077,{"$f":"SUM(G79:H79)","v":134022},{"$f":"F79+I79","v":389073},null,null,61746,89883,{"$f":"M79+N79","v":151629},86727,54345,{"$f":"SUM(P79:Q79)","v":141072},{"$f":"O79+R79","v":292701},null,null,{"$f":"J79+S79","v":681774},{"$f":"(F79+O79)/V79","v":0.59650265337193853},null,null,{"$f":"ROW()","v":79}]
[null,null,"Upper Manhattan",18543,165365,183908,18784,21478,40262,224170,null,null,34034,118830,152864,36227,18746,54973,207837,null,null,432007,0.77955218318221697,null,null,{"$f":"ROW()","v":80}]
[null,null,"Queens",8152,206218,214370,44619,9560,54179,268549,null,null,2066,86780,88846,17426,3016,20442,109288,null,null,377837,0.80250478380889112,null,null,{"$f":"ROW()","v":81}]
[null,null,"Bronx",4684,82905,87589,5112,822,5934,93523,null,null,2051,40741,42792,17268,0,17268,60060,null,null,153583,0.84892859235722706,null,null,{"$f":"ROW()","v":82}]
[null,null,"Brooklyn",4148,226462,230610,40819,1355,42174,272784,null,null,7495,68351,75846,54523,5275,59798,135644,null,null,408428,0.75033053561460039,null,null,{"$f":"ROW()","v":83}]
[null,null,"Staten Island",11894,18247,30141,11427,904,12331,42472,null,null,1136,6107,7243,7283,591,7874,15117,null,null,57589,0.64915174772960116,null,null,{"$f":"ROW()","v":84}]
[null,null,"Bklyn-Qns",{"$f":"D81+D83","v":12300},432680,444980,85438,10915,96353,541333,null,null,{"$f":"M81+M83","v":9561},155131,164692,71949,8291,80240,244932,null,null,{"$f":"V81+V83","v":786265},0.77540269502012682,null,null,{"$f":"ROW()","v":85}]
[null,null,"Upper Man.-Bronx",{"$f":"D80+D82","v":23227},248270,271497,23896,22300,46196,317693,null,null,{"$f":"M80+M82","v":36085},159571,195656,53495,18746,72241,267897,null,null,{"$f":"V80+V82","v":585590},0.79774757082600456,null,null,{"$f":"ROW()","v":86}]
[null,null,"NYC no CBD",{"$f":"SUM(D80:D84)","v":47421},699197,746618,120761,34119,154880,901498,null,null,{"$f":"SUM(M80:M84)","v":46782},320809,367591,132727,27628,160355,527946,null,null,{"$f":"SUM(V80:V84)","v":1429444},0.77947019960208308,null,null,{"$f":"ROW()","v":87}]
[null,null,"Total NYC",{"$f":"D79+D87","v":81810},919859,1001669,179706,109196,288902,1290571,null,null,{"$f":"M79+M87","v":108528},410692,519220,219454,81973,301427,820647,null,null,{"$f":"V79+V87","v":2111218},0.72038463105183836,null,null,{"$f":"ROW()","v":88}]
[null,null,"Nassau",0,86727,{"$f":"D89+E89","v":86727},30271,1594,31865,{"$f":"F89+I89","v":118592},null,null,0,11155,{"$f":"M89+N89","v":11155},25217,0,25217,{"$f":"O89+R89","v":36372},null,null,{"$f":"J89+S89","v":154964},0.63164347848532565,null,null,{"$f":"ROW()","v":89}]
[null,null,"Suffolk",304,27816,{"$f":"D90+E90","v":28120},10533,1533,12066,{"$f":"F90+I90","v":40186},null,null,0,5324,{"$f":"M90+N90","v":5324},2367,0,2367,{"$f":"O90+R90","v":7691},null,null,{"$f":"J90+S90","v":47877},0.69854000877247946,null,null,{"$f":"ROW()","v":90}]
[null,null,"Total LI",{"$f":"SUM(D89:D90)","v":304},114543,114847,40804,3127,43931,158778,null,null,{"$f":"SUM(M89:M90)","v":0},16479,16479,27584,0,27584,44063,null,null,{"$f":"SUM(V89:V90)","v":202841},0.64743321123441511,null,null,{"$f":"ROW()","v":91}]
[null,null,"Westchester",1752,53486,{"$f":"D92+E92","v":55238},23163,0,23163,{"$f":"F92+I92","v":78401},null,null,2254,10447,{"$f":"M92+N92","v":12701},6458,0,6458,{"$f":"O92+R92","v":19159},null,null,{"$f":"J92+S92","v":97560},0.6963817138171382,null,null,{"$f":"ROW()","v":92}]
[null,null,"Putnam",0,3049,{"$f":"D93+E93","v":3049},248,0,248,{"$f":"F93+I93","v":3297},null,null,0,677,{"$f":"M93+N93","v":677},206,0,206,{"$f":"O93+R93","v":883},null,null,{"$f":"J93+S93","v":4180},0.8913875598086124,null,null,{"$f":"ROW()","v":93}]
[null,null,"New Haven",0,258,{"$f":"D94+E94","v":258},0,0,{"$f":"SUM(G94:H94)","v":0},{"$f":"F94+I94","v":258},null,null,0,450,{"$f":"M94+N94","v":450},1738,0,{"$f":"SUM(P94:Q94)","v":1738},{"$f":"O94+R94","v":2188},null,null,{"$f":"J94+S94","v":2446},0.28945216680294356,null,null,{"$f":"ROW()","v":94}]
[null,null,"Dutchess",272,2087,{"$f":"D95+E95","v":2359},164,548,712,{"$f":"F95+I95","v":3071},null,null,0,208,{"$f":"M95+N95","v":208},600,0,600,{"$f":"O95+R95","v":808},null,null,{"$f":"J95+S95","v":3879},0.66176849703531837,null,null,{"$f":"ROW()","v":95}]
[null,null,"Fairfield",0,26007,{"$f":"D96+E96","v":26007},3167,1595,4762,{"$f":"F96+I96","v":30769},null,null,772,8133,{"$f":"M96+N96","v":8905},2484,0,2484,{"$f":"O96+R96","v":11389},null,null,{"$f":"J96+S96","v":42158},0.82812277622278097,null,null,{"$f":"ROW()","v":96}]
[null,null,"Total N. of NYC",{"$f":"SUM(D92:D96)","v":2024},84887,86911,26742,2143,28885,115796,null,null,{"$f":"SUM(M92:M96)","v":3026},19915,22941,11486,0,11486,34427,null,null,{"$f":"SUM(V92:V96)","v":150223},0.73125952750244638,null,null,{"$f":"ROW()","v":97}]
[null,null,"Bergen",24307,11454,{"$f":"D98+E98","v":35761},14820,1260,16080,{"$f":"F98+I98","v":51841},null,null,6113,1764,{"$f":"M98+N98","v":7877},17916,304,18220,{"$f":"O98+R98","v":26097},null,null,{"$f":"J98+S98","v":77938},0.5599065924196156,null,null,{"$f":"ROW()","v":98}]
[null,null,"Rockland",2005,3355,5360,2868,147,{"$f":"SUM(G99:H99)","v":3015},8375,null,null,548,595,1143,0,0,{"$f":"SUM(P99:Q99)","v":0},1143,null,null,9518,0.68323177138054214,null,null,{"$f":"ROW()","v":99}]
[null,null,"Orange",3232,2719,5951,1267,0,{"$f":"SUM(G100:H100)","v":1267},7218,null,null,1465,583,2048,7948,0,{"$f":"SUM(P100:Q100)","v":7948},9996,null,null,17214,0.46467991169977924,null,null,{"$f":"ROW()","v":100}]
[null,null,"Passaic",5073,1827,6900,3018,0,3018,9918,null,null,305,0,305,3695,0,3695,4000,null,null,13918,0.5176749532978876,null,null,{"$f":"ROW()","v":101}]
[null,null,"Hudson",9271,41976,51247,11559,1735,13294,64541,null,null,8322,15860,24182,10947,1290,12237,36419,null,null,100960,0.74711767036450083,null,null,{"$f":"ROW()","v":102}]
[null,null,"Essex",5344,19325,24669,5776,726,6502,31171,null,null,1008,3601,4609,5192,0,5192,9801,null,null,40972,0.7145855706336034,null,null,{"$f":"ROW()","v":103}]
[null,null,"Union",1070,10241,11311,3858,288,4146,15457,null,null,0,990,990,2546,0,2546,3536,null,null,18993,0.64765966408676878,null,null,{"$f":"ROW()","v":104}]
[null,null,"Morris",2687,5709,8396,4219,0,4219,12615,null,null,0,601,601,885,280,1165,1766,null,null,14381,0.62561713371810024,null,null,{"$f":"ROW()","v":105}]
[null,null,"Somerset",1029,2122,3151,1189,410,1599,4750,null,null,0,0,0,469,0,469,469,null,null,5219,0.60375550871814521,null,null,{"$f":"ROW()","v":106}]
[null,null,"Middlesex",4806,7076,11882,5142,0,5142,17024,null,null,0,3575,3575,2245,0,2245,5820,null,null,22844,0.67663281386797414,null,null,{"$f":"ROW()","v":107}]
[null,null,"Monmouth",7711,5447,13158,3885,0,3885,17043,null,null,1702,6550,8252,1048,0,1048,9300,null,null,26343,0.8127396272254489,null,null,{"$f":"ROW()","v":108}]
[null,null,"Ocean",0,172,172,2057,0,2057,2229,null,null,0,0,0,2984,0,2984,2984,null,null,5213,3.2994436984461924E-2,null,null,{"$f":"ROW()","v":109}]
[null,null,"Hunterdon",310,634,944,0,0,0,944,null,null,0,1587,1587,522,0,522,2109,null,null,3053,0.82902063544055027,null,null,{"$f":"ROW()","v":110}]
[null,null,"Warren",0,0,0,429,0,429,429,null,null,0,421,421,609,0,609,1030,null,null,1459,0.28855380397532554,null,null,{"$f":"ROW()","v":111}]
[null,null,"Sussex",0,435,435,450,158,608,1043,null,null,334,0,334,158,0,158,492,null,null,1535,0.50097719869706836,null,null,{"$f":"ROW()","v":112}]
[null,null,"Mercer",0,3408,3408,2510,1130,3640,7048,null,null,0,1095,1095,1631,0,1631,2726,null,null,9774,0.46071209330877838,null,null,{"$f":"ROW()","v":113}]
[null,null,"Total W. of Hudson R.",{"$f":"SUM(D98:D113)","v":66845},115900,182745,63047,5854,68901,251646,null,null,{"$f":"SUM(M98:M113)","v":19797},37222,57019,58795,1874,60669,117688,null,null,{"$f":"SUM(V98:V113)","v":369334},0.64917933361131119,null,null,{"$f":"ROW()","v":114}]
[null,null,"Total Suburbs",{"$f":"D91+D97+D114","v":69173},315330,384503,130593,11124,141717,526220,null,null,{"$f":"M91+M97+M114","v":22823},73616,96439,97865,1874,99739,196178,null,{"$f":"U91+U97+U114","v":0},{"$f":"V91+V97+V114","v":722398},0.66575765713637081,null,null,{"$f":"ROW()","v":115}]
[null,null,"Total Non-CBD",{"$f":"D117-D79","v":116594},1014527,1131121,251354,45243,296597,1427718,null,null,{"$f":"M117-M79","v":69605},394425,464030,230592,29502,260094,724124,null,null,{"$f":"V117-V79","v":2151842},0.74129559698156278,null,null,{"$f":"ROW()","v":116}]
[null,null,"Grand Totals",{"$f":"D88+D91+D97+D114","v":150983},1235189,1386172,310299,120320,430619,1816791,null,null,{"$f":"M88+M91+M97+M114","v":131351},484308,615659,317319,83847,401166,1016825,null,null,{"$f":"V88+V91+V97+V114","v":2833616},0.70645810864986647,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Extracted from the Above table, for non-CBD trips into the CBD",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,null,null,null,null,null,"Work Auto","N-Wk Auto","Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,null,"Number of trips",null,null,null,{"$f":"G116","v":251354},{"$f":"P116","v":230592},{"$f":"G121+H121","v":481946},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,null,"These numbers are from above table.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,null,"Previous data row, as %",null,null,null,{"$f":"G121/$I121","v":0.52153975756620041},{"$f":"H121/$I121","v":0.47846024243379964},{"$f":"I121/$I121","v":1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,"These percentages will be used in Assignment worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,"Car Occupancy Rates",null,null,null,1.1499999999999999,1.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,null,"These numbers are Komanoff assumptions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,"Number of Cars",null,null,null,{"$f":"G121/G125","v":218568.69565217392},{"$f":"H121/H125","v":153728},{"$f":"G127+H127","v":372296.69565217395},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,"% of Combined",null,null,null,{"$f":"G127/$I$127","v":0.58708201873587496},{"$f":"H127/$I$127","v":0.41291798126412499},{"$f":"I127/$I$127","v":1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,"% of Combined, re-apportioned to squeeze into:",null,null,null,{"$f":"G128*$I$129","v":0.49901971592549371},{"$f":"H128*$I$129","v":0.35098028407450621},0.85,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,"Rounded",null,null,null,{"$f":"ROUND(G129*200,-1)/200","v":0.5},{"$f":"ROUND(H129*200,-1)/200","v":0.35},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,"Work Bus","N-Wk Bus","Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,"Number of trips (careful, incl. express buses)",null,null,null,{"$f":"D116","v":116594},{"$f":"M116","v":69605},{"$f":"G133+H133","v":186199},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,"These numbers are from above table.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,"Previous data row, as %",null,null,null,{"$f":"G133/$I133","v":0.62617951761287649},{"$f":"H133/$I133","v":0.37382048238712345},{"$f":"I133/$I133","v":1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,"Work Rail","N-Wk Rail","Combined",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,"Number of trips",null,null,null,{"$f":"E116","v":1014527},{"$f":"N116","v":394425},{"$f":"G138+H138","v":1408952},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,"These numbers are from above table.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,null,"Previous data row, as %",null,null,null,{"$f":"G138/$I138","v":0.72005788699686013},{"$f":"H138/$I138","v":0.27994211300313993},{"$f":"I138/$I138","v":1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]

{"sheet":"Bridges","index":64,"n_rows":254,"n_cols":15,"rows_kept":254,"cut":false,"hidden":false,"merged":[[179,1,181,10],[182,11,183,13],[231,1,232,12],[60,1,62,11],[70,11,73,11],[163,3,163,9],[131,1,132,7],[99,3,99,9],[133,3,133,9],[70,1,75,9],[70,10,77,10],[174,1,175,8],[86,1,87,9],[57,4,57,5],[58,4,58,5],[32,6,36,6],[6,1,7,6],[6,7,7,8],[56,4,56,5],[32,7,36,7],[32,12,36,12],[32,4,36,4],[32,5,36,5],[32,8,36,8],[2,1,4,7],[32,9,36,9],[32,10,36,10],[32,11,36,11],[2,10,5,12],[251,5,251,8],[246,9,247,9],[246,5,247,5],[243,11,244,11],[240,1,241,9],[243,1,244,9],[243,10,244,10],[246,6,246,8]]}
[null,"Bridges","(includes tunnels)",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"This worksheet was begun in 2007 as a key \"data engine\" for the BTA in its transition from a \"bridge tolls\" tool to one for full-scale congestion (cordon) pricing. Sections A-E generate intermediate data (e.g., average tolls actually paid by drivers entering the CBD) used in other worksheets.",null,null,null,null,null,null,null,null,"Link to City of NY Capital Budget, containing estimates for near-future-year expenditures on city bridges including ERB's: http://www.nyc.gov/html/omb/html/publications/finplan02_15.shtml",null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,{"$f":"CONCATENATE(\"It was expanded in March 2012 to allow estimates of before-and-after crossings at *individual* bridges and tunnels. See Section G, 'Revenues per Crossing,' beginning in Row \",O99, \", or click on this link:\")","v":"It was expanded in March 2012 to allow estimates of before-and-after crossings at *individual* bridges and tunnels. See Section G, 'Revenues per Crossing,' beginning in Row 99, or click on this link:"},null,null,null,null,null,"Revenues per Crossing",null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"A. East River bridge crossings vs. all crossings into Manhattan CBD (to estimate impacts of tolling only East River bridges)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"East River bridges share of cordon toll revenues",null,null,null,null,null,null,null,null,null,{"$f":"Approaches!K216/(Approaches!K216+Approaches!I216)","v":0.4435755561417869},null,null,{"$f":"ROW()","v":12}]
[null,{"$f":"CONCATENATE(\"Calculated as ratio of 'surviving' (post-toll) ER bridge crossings to sum of same + surviving 60th St crossings, based on figures in 'Approaches' tab, Row \",Approaches!O216, \".\")","v":"Calculated as ratio of 'surviving' (post-toll) ER bridge crossings to sum of same + surviving 60th St crossings, based on figures in 'Approaches' tab, Row 216."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"B. Harlem River bridge crossings (to estimate impacts of tolling Harlem River bridges, as some public figures urge from time to time)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Daily volumes, 2015","Willis Avenue","3rd Avenue","Madison Ave","145th Street","Mac Dam","Washington","Univ Hghts","Broadway",null,"Total",null,null,{"$f":"ROW()","v":17}]
[null,null,63912,55988,{"$f":"18676+21756","v":40432},{"$f":"13025+14072","v":27097},{"$f":"20099+18457","v":38556},{"$f":"23468+30538","v":54006},{"$f":"21732+16781","v":38513},{"$f":"17571+16326","v":33897},null,{"$f":"SUM(C18:J18)","v":352401},null,null,{"$f":"ROW()","v":18}]
[null,"Source: NYCDOT, Manhattan River Crossings, 2015. Figures shown are one-way, i.e., divide by two for round-trip figures.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"East River bridge daily volumes, 2015 (all vehicles including taxis)",null,null,null,null,null,null,null,null,null,{"$f":"'Hub-Bound'!O104","v":437436},null,null,{"$f":"ROW()","v":20}]
[null,{"$f":"CONCATENATE(\"Source: 'Hub-Bound' tab, Row \",'Hub-Bound'!R104, \". Based on 2015 Hub-Bound data.\")","v":"Source: 'Hub-Bound' tab, Row 104. Based on 2015 Hub-Bound data."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Ratio, Harlem River bridge daily volumes to East River bridge daily volumes, 2015 (all vehicles including taxis)",null,null,null,null,null,null,null,null,null,{"$f":"L18/L20","v":0.80560584862699913},null,null,{"$f":"ROW()","v":22}]
[null,{"$f":"CONCATENATE(\"Row \",O18, \" divided by Row \",O20, \".\")","v":"Row 18 divided by Row 20."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"One-half of daily volumes (to put on same basis as other trip entries in this spreadsheet)",null,null,null,null,null,null,null,null,null,{"$f":"L18/2","v":176200.5},null,null,{"$f":"ROW()","v":24}]
[null,"Motor vehicle crossings to CBD, 60th St + E Riv bridges only, excluding taxis",null,null,null,null,null,null,null,null,null,{"$f":"Approaches!I190+Approaches!K190","v":379129.92599628499},null,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"Source: 'Approaches' tab, Row \",Approaches!O190, \". Based on 2015 Hub-Bound data.\")","v":"Source: 'Approaches' tab, Row 190. Based on 2015 Hub-Bound data."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Ratio of 2009 Harlem River bridge crossings (inbound only) to all inbound crossings into CBD",null,null,null,null,null,null,null,null,null,{"$f":"L24/L25","v":0.46474964891514936},null,null,{"$f":"ROW()","v":27}]
[null,{"$f":"CONCATENATE(\"Row \",O24, \" divided by Row \",O25, \". Note: This figure is a construct, since Harlem Riv crossings are not a subset of all CBD crossings.\")","v":"Row 24 divided by Row 25. Note: This figure is a construct, since Harlem Riv crossings are not a subset of all CBD crossings."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"C. Average Toll Paid for Auto Crossings into CBD, 2012-13 ",null,null,null,{"$f":"CONCATENATE(\"Used to calculate baseline tolls -- a key input in 'Motor Vs' and 'Motor Vs' Weekends' worksheets, Row \",'Motor Vs'!O273,)","v":"Used to calculate baseline tolls -- a key input in 'Motor Vs' and 'Motor Vs' Weekends' worksheets, Row 273"},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,"(1)","(2)","(4)",null,"(3)","(5)",null,"(6)","(7)",null,{"$f":"ROW()","v":32}]
[null,null,null,null,"\nTravelers to or through CBD on typical weekday (24h): where do they live?","% paying a PANYNJ toll that is charged at entrance to CBD","Avg round-trip PANYNJ toll to enter CBD (for trips that pay it)","Avg round-trip PANYNJ toll paid by drivers from place of residence shown","% paying an MTA toll that is charged at entrance to CBD","Avg round-trip MTA toll to enter CBD (for trips that pay it)","Avg round-trip MTA toll paid by drivers from place of residence shown","Round-trip toll to enter CBD, avg'd across all trips to CBD","X-product of Column (1) -- shares of CBD trips -- and (6) avg effective toll",null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Place of residence",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Peak",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"NYC",null,null,{"$f":"SUM(Incidence!G213:'Incidence'!K213)","v":0.56723967081153315},{"$f":"(SUMPRODUCT(Incidence!G227:K227,Incidence!G213:K213)+SUMPRODUCT(Incidence!G228:K228,Incidence!G213:K213))/SUM(Incidence!G213:K213)","v":4.5672334952706319E-2},{"$f":"$H$58","v":12.75},{"$f":"F40*G40","v":0.58232227064700559},{"$f":"(SUMPRODUCT(Incidence!G229:K229,Incidence!G213:K213)+SUMPRODUCT(Incidence!G230:K230,Incidence!G213:K213))/SUM(Incidence!G213:K213)","v":0.13892565701126339},{"$f":"2*($I$89*MTA_1Way_EZPass_2019+(1-$I$89)*MTA_1Way_Cash_2019)","v":12.672639999999999},{"$f":"I40*J40","v":1.7605548380672167},{"$f":"H40+K40","v":2.3428771087142222},{"$f":"E40*L40","v":1.328972839898932},null,{"$f":"ROW()","v":40}]
[null,"Nassau/Suffolk",null,null,{"$f":"SUM(Incidence!M213:'Incidence'!N213)","v":0.10840418259561377},{"$f":"(SUMPRODUCT(Incidence!M227:N227,Incidence!M213:N213)+SUMPRODUCT(Incidence!M228:N228,Incidence!M213:N213))/SUM(Incidence!M213:N213)","v":0},12.75,0,{"$f":"(SUMPRODUCT(Incidence!M229:N229,Incidence!M213:N213)+SUMPRODUCT(Incidence!M230:N230,Incidence!M213:N213))/SUM(Incidence!M213:N213)","v":0.17},12.672639999999999,2.1543488000000002,2.1543488000000002,0.23354042068984143,null,{"$f":"ROW()","v":41}]
[null,"5 Lower Hudson Valley \"MTA counties\"",null,null,{"$f":"SUM(Incidence!O213:'Incidence'!S213)","v":9.7401805064658356E-2},{"$f":"(SUMPRODUCT(Incidence!O227:S227,Incidence!O213:S213)+SUMPRODUCT(Incidence!O228:S228,Incidence!O213:S213))/SUM(Incidence!O213:S213)","v":2.1733852807324452E-2},12.75,0.27710662329338676,{"$f":"(SUMPRODUCT(Incidence!O229:S229,Incidence!O213:S213)+SUMPRODUCT(Incidence!O230:S230,Incidence!O213:S213))/SUM(Incidence!O213:S213)","v":1.6618213539425188E-2},12.672639999999999,0.2105966376282612,0.48770326092164795,4.7503177949688564E-2,null,{"$f":"ROW()","v":42}]
[null,"New Jersey",null,null,{"$f":"Incidence!U213","v":0.19874100142529186},{"$f":"(Incidence!U227+Incidence!U228)","v":0.55000000000000004},12.75,7.0125000000000002,{"$f":"(Incidence!U229+Incidence!U230)","v":0},12.672639999999999,0,7.0125000000000002,1.3936712724948592,null,{"$f":"ROW()","v":43}]
[null,"Connecticut",null,null,{"$f":"Incidence!V213","v":1.9007606139082575E-2},{"$f":"(Incidence!V227+Incidence!V228)","v":0},12.75,0,{"$f":"(Incidence!V229+Incidence!V230)","v":0.01},12.672639999999999,0.12672639999999999,0.12672639999999999,2.4087654986238338E-3,null,{"$f":"ROW()","v":44}]
[null,"Other",null,null,{"$f":"Incidence!W213","v":9.2057339638204148E-3},{"$f":"(Incidence!W227+Incidence!W228)","v":0.2},12.75,2.5500000000000003,{"$f":"(Incidence!W229+Incidence!W230)","v":0.01},12.672639999999999,0.12672639999999999,2.6767264000000002,2.464123113233475E-2,null,{"$f":"ROW()","v":45}]
[null,"T O T A L",null,null,{"$f":"SUM(E40:E45)","v":1.0000000000000002},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Note: Formula for Cell M\",O46, \" includes modest (downward) true-up adj'ment to ensure baseline toll revenues net to zero.\")","v":"Note: Formula for Cell M46 includes modest (downward) true-up adj'ment to ensure baseline toll revenues net to zero."},{"$f":"SUM(M40:M45)","v":3.0307377076642803},null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Off-Peak",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"NYC",null,null,{"$f":"E40","v":0.56723967081153315},4.5672334952706319E-2,{"$f":"$H$59","v":10.950000000000001},{"$f":"F49*G49","v":0.50011206773213424},{"$f":"I40","v":0.13892565701126339},{"$f":"2*($I$89*MTA_1Way_EZPass_2019+(1-$I$89)*MTA_1Way_Cash_2019)","v":12.672639999999999},{"$f":"I49*J49","v":1.7605548380672167},{"$f":"H49+K49","v":2.2606669057993507},{"$f":"E49*L49","v":1.282339951460151},null,{"$f":"ROW()","v":49}]
[null,"Nassau/Suffolk",null,null,0.10840418259561377,0,10.950000000000001,0,0.17,12.672639999999999,2.1543488000000002,2.1543488000000002,0.23354042068984143,null,{"$f":"ROW()","v":50}]
[null,"5 Lower Hudson Valley \"MTA counties\"",null,null,9.7401805064658356E-2,2.1733852807324452E-2,10.950000000000001,0.23798568824020278,1.6618213539425188E-2,12.672639999999999,0.2105966376282612,0.44858232586846397,4.3692728259691178E-2,null,{"$f":"ROW()","v":51}]
[null,"New Jersey",null,null,0.19874100142529186,0.55000000000000004,10.950000000000001,6.0225000000000009,0,12.672639999999999,0,6.0225000000000009,1.1969176810838205,null,{"$f":"ROW()","v":52}]
[null,"Connecticut",null,null,1.9007606139082575E-2,0,10.950000000000001,0,0.01,12.672639999999999,0.12672639999999999,0.12672639999999999,2.4087654986238338E-3,null,{"$f":"ROW()","v":53}]
[null,"Other",null,null,9.2057339638204148E-3,0.2,10.950000000000001,2.1900000000000004,0.01,12.672639999999999,0.12672639999999999,2.3167264000000003,2.1327166905359404E-2,null,{"$f":"ROW()","v":54}]
[null,"T O T A L",null,null,{"$f":"SUM(E49:E54)","v":1.0000000000000002},null,null,null,null,null,null,null,{"$f":"SUM(M49:M54)","v":2.7802267138974872},null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"New Jersey tolls",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Peak",null,null,null,null,null,{"$f":"F97*PA_Peak_Toll_EZPass+(1-F97)*PA_Cash_Toll","v":12.75},null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"Off-peak",null,null,null,null,null,{"$f":"F97*PA_Offpeak_Toll_EZPass+(1-F97)*PA_Cash_Toll","v":10.950000000000001},null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Sources: (1), (2) & (3) are taken directly from Incidence tab, except that 3 percentage points have been added to PANYNJ and MTA toll percents for NYC to allow for possible undercounts there due to convention of rounding percent values to nearest 5%. PA and MTA toll rates in (4) & (5) are from this sheet; both are weighted by estimated shares of trips paid with E-ZPass; MTA toll rate is doubled to reflect collection in both directions. (6) is sum of cross-products of (2) & (4), and (3) and (5). (7) is cross-product of county/state shares in (1) and averaged tolls in (6).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"D. Non-Revenue Vehicles on Selected MTA Crossings, 2017",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,"Triborough","Q-Mid Tunn","Bklyn-Batt Tunn","Subtotal","All TBTA",null,null,{"$f":"ROW()","v":66}]
[null,"Toll-Paying Vehicles (millions)",null,null,null,null,null,{"$f":"'MTA Crossings'!R37","v":63810},{"$f":"'MTA Crossings'!R42","v":25065},{"$f":"'MTA Crossings'!R41","v":17510},{"$f":"SUM(H67:J67)","v":106385},{"$f":"'MTA Crossings'!R46","v":309997},null,null,{"$f":"ROW()","v":67}]
[null,"Non-Revenue Vehicles (millions)",null,null,null,null,null,{"$f":"'MTA Crossings'!M37","v":662},{"$f":"'MTA Crossings'!M42","v":130},{"$f":"'MTA Crossings'!M41","v":161},{"$f":"SUM(H68:J68)","v":953},{"$f":"'MTA Crossings'!M46","v":2031},null,null,{"$f":"ROW()","v":68}]
[null,"Total Vehicles (millions)",null,null,null,null,null,{"$f":"'MTA Crossings'!S37","v":64472},{"$f":"'MTA Crossings'!S42","v":25195},{"$f":"'MTA Crossings'!S41","v":17671},{"$f":"K67+K68","v":107338},{"$f":"'MTA Crossings'!S46","v":312028},null,null,{"$f":"ROW()","v":69}]
[null,"Non-Revenue Vehicles, % Total Vehicles",null,null,null,null,null,{"$f":"H68/H69","v":1.0268023327956323E-2},{"$f":"I68/I69","v":5.1597539194284583E-3},{"$f":"J68/J69","v":9.1109727802614459E-3},{"$f":"K68/K69","v":8.8784959660138992E-3},{"$f":"L68/L69","v":6.5090312407860831E-3},null,null,{"$f":"ROW()","v":70}]
[null,"Source: MTA, \"Supplement to Final MTA 2009 Combined Continuing Disclosure Filing, Dated June 22, 2009,\" available via <http://bit.ly/h8443R>, Table, \"Traffic by Facility and Vehicle Class, 2008,\" p. 508 of 558. Note to table identifies non-revenue vehicles: \"Includes police, fire and other emergency vehicles and TBTA vehicles.\" Note that 2009 data appear similar, based on TBTA statement that \"In 2009 [our] facilities carried 294.6 million total vehicles, of which 291.2 million were toll paying … (Non-revenue transactions include police, emergency and TBTA vehicles.)\" The implied percent of non-revenue vehicles is 1.154%, i.e., 1.2%. Source: \"Appendix E, History and Projection of Traffic, Toll Revenues and Expenses adn Review of Physical Conditions of the Facilities of Triborough Bridge and Tunnel Authority,\" April 30, 2010, URS Corp., p. 4 of 69. Document is available at: <http://bit.ly/eNWmOl>.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Twice the 2008 value for this figure was entered in 'Policy Levers,' Row \",'Policy Levers'!O85,\" until mid-2012. Current value used for most or all plans is  \",100*'Policy Levers'!I85, \"%.\")","v":"Twice the 2008 value for this figure was entered in 'Policy Levers,' Row 85 until mid-2012. Current value used for most or all plans is  4%."},"This figure is shown for illustration purposes only.",null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"E. MTA Bridge & Tunnel Toll Rates",null,null,null,2014,2015,2017,2019,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"BBT, QMT, Trib (cash)",null,null,null,7.5,8,8.5,9.5,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"BBT, QMT, Trib (E-ZPass)",null,null,null,5.33,5.54,5.76,6.12,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Henry Hudson Br (cash)",null,null,null,5,5.5,6,7,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"Henry Hudson Br (E-ZPass)",null,null,null,2.44,2.54,2.64,2.8,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Marine Park & Cross-Bay Bridges (cash)",null,null,null,3.75,4,4.25,4.75,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Marine Park & Cross-Bay Bridges (E-ZPass)",null,null,null,2,2.08,2.16,2.29,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Marine Park & Cross-Bay Bridges (Rockaway residents cash)",null,null,null,1.79,1.86,1.92,2.0499999999999998,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Marine Park & Cross-Bay Bridges (Rockaway residents E-ZPass)",null,null,null,1.31,1.36,1.41,1.49,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"2014 rates are from Stantec 2014 report. 2015 are from http://web.mta.info/mta/news/hearings/2015FareTolls/FaresBT.html. 2017 are from http://web.mta.info/bandt/traffic/btmain.html. 2019 are from https://new.mta.info/sites/default/files/2019-03/B%26T_toll_tables_03-01-19.pdf.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":87}]
[]
[null,"Estimated % of drivers using E-ZPass",null,null,null,null,0.84,null,{"$f":"Cordon!I110","v":0.93600000000000005},null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Stantec Report (2015), Table 2, shows annual system-wide shares of 79.4% 2011, 81.0% 2012, 83.3% 2013 and 84.2% 2014. 2017 figure is from Cordon tab, Cell I75.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"F. Proposed toll ratio, QBB Upper Roadway (doesn't \"land\" in cordon) vis-à-vis BBT or QMT",null,null,null,null,null,null,{"$f":"1-2.5/MTA_1Way_EZPass_2019","v":0.59150326797385622},null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"One minus ratio of $2.50 to MTA E-Zpass toll rate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"F. PANYNJ Toll Rates",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Are shown in Revenues worksheet tab, here:",null,null,"Port_Authority_Crossings",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"% of auto trips on Port Authority crossings from NYC using E-ZPass:",null,null,null,0.9,"Komanoff assumption.",null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"G. Revenues per Crossings ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,"W   E   E   K   D   A   Y   S",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,{"$f":"C195","v":"BBT"},{"$f":"D195","v":"QMT"},"Lincoln Tunnel","Holland Tunnel",{"$f":"G195","v":"Bklyn Br"},{"$f":"H195","v":"Manhattan Br"},{"$f":"I195","v":"Williamsburg Br"},{"$f":"J195","v":"Queensboro Br"},"60th Street",{"$f":"L195","v":"All crossings"},null,null,{"$f":"ROW()","v":102}]
[null,"Baseline Crossings",{"$f":"'Hub-Bound'!E83","v":29025},{"$f":"'Hub-Bound'!E82","v":46002},{"$f":"'Hub-Bound'!E68","v":54870},{"$f":"'Hub-Bound'!E67","v":42342},{"$f":"'Hub-Bound'!E76","v":64429},{"$f":"'Hub-Bound'!E75","v":41724},{"$f":"'Hub-Bound'!E74","v":50294},{"$f":"'Hub-Bound'!E77","v":77649},{"$f":"'Hub-Bound'!E62","v":303139},{"$f":"SUM(C103:K103)","v":709474},null,null,{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Figures are inbound only, weekdays, 2016 and are from 'Hub-Bound' worksheet, for consistency with entries in 'Motor Vs' worksheet (Row \",'Motor Vs'!O35, \"), which 'drives' traffic and revenue modeling.\")","v":"Figures are inbound only, weekdays, 2016 and are from 'Hub-Bound' worksheet, for consistency with entries in 'Motor Vs' worksheet (Row 35), which 'drives' traffic and revenue modeling."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Survival Rate (SR)",{"$f":"Approaches!L222","v":1.2348949459339766},{"$f":"Approaches!L222","v":1.2348949459339766},{"$f":"Approaches!J222","v":1},{"$f":"Approaches!J222","v":1},{"$f":"Approaches!K222","v":0.66708408531630292},{"$f":"Approaches!K222","v":0.66708408531630292},{"$f":"Approaches!K222","v":0.66708408531630292},{"$f":"Approaches!K222","v":0.66708408531630292},{"$f":"Approaches!I222","v":0.76332479359141181},{"$f":"L107/L103","v":0.81386730697573206},null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"From respective columns of 'Approaches' worksheet, Row \",Approaches!O222, \". E Riv tunnel and bridge figures reflect traffic re-assignment, so former may be greater than 100%.\")","v":"From respective columns of 'Approaches' worksheet, Row 222. E Riv tunnel and bridge figures reflect traffic re-assignment, so former may be greater than 100%."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,"Surviving Crossings",{"$f":"C103*C105","v":35842.825805733672},56807.637302854797,54870,42342,42979.56053284408,27833.416375737423,33550.326986898137,51798.412140725603,231393.51460450699,{"$f":"SUM(C107:K107)","v":577417.69374930067},null,null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O105, \" percentages and Row \",O103, \" baselines.\")","v":"Product of Row 105 percentages and Row 103 baselines."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Reassignment #1: Triboro Bridge (if discounted) picking up crossings from Queensboro Bridge",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Weekday TBB (Queens to Bronx or vice-versa) windfall trip increase (if any)",null,null,null,null,null,null,null,null,null,null,{"$f":"'MTA Crossings'!$O$316/(weekday_per_yr+wkend_per_yr*J136/J103)","v":3707.3124363113893},null,{"$f":"ROW()","v":110}]
[null,{"$f":"CONCATENATE(\"From 'MTA Crossings' Cell O\",'MTA Crossings'!AL316, \", averaged to weekdays per ratio of Cell J\",O103, \" to Cell J\",O136, \".\")","v":"From 'MTA Crossings' Cell O316, averaged to weekdays per ratio of Cell J103 to Cell J136."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111}]
[null,"Assumed share of TBB (Q-Bx) windfall that will draw from existing QBB load (Komanoff assumption)",null,null,null,null,null,null,null,null,null,null,{"$f":"1/4","v":0.25},null,{"$f":"ROW()","v":112}]
[null,"Change in QBB from TBB windfall",null,null,null,null,null,null,null,{"$f":"-M112*M110","v":-926.82810907784733},null,null,null,null,{"$f":"ROW()","v":113}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O112, \" and \",O110, \".\")","v":"Product of Rows 112 and 110."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,"Reassignment #2: Brooklyn Battery Tunnel trips moving to Queens Midtown Tunnel",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115}]
[null,"Assumed share of (baseline) BBT trips that will move to QMT, directly or indirectly (Komanoff assumption)",null,null,null,null,null,null,null,null,null,null,0.05,null,{"$f":"ROW()","v":116}]
[null,"Trips, BBT to QMT",{"$f":"-D117","v":-1451.25},{"$f":"M117","v":1451.25},{"$f":"CONCATENATE(\"Product of Cells M\",O116, \" and C\",O103, \".\")","v":"Product of Cells M116 and C103."},null,null,null,null,null,null,null,{"$f":"M116*C103","v":1451.25},null,{"$f":"ROW()","v":117}]
[null,"Tot. Reassgnmnts",{"$f":"SUM(C113:C117)","v":-1451.25},1451.25,0,0,0,0,0,-926.82810907784733,0,{"$f":"SUM(C118:K118)","v":-926.82810907784733},null,null,{"$f":"ROW()","v":118}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O113,\" and \",O117, \".\")","v":"Sum of Rows 113 and 117."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Survivors w/ Reassgn",{"$f":"C107+C118","v":34391.575805733672},58258.887302854797,54870,42342,42979.56053284408,27833.416375737423,33550.326986898137,50871.584031647755,231393.51460450699,{"$f":"SUM(C120:K120)","v":576490.86564022291},null,null,{"$f":"ROW()","v":120}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O107,\" and \",O118, \".\")","v":"Sum of Rows 107 and 118."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"SR w/ Reassign, %",{"$f":"C120/C103","v":1.1848949459339766},1.2664424873452198,1,1,0.66708408531630292,0.66708408531630292,0.66708408531630292,0.65514796110249651,0.76332479359141181,0.8125609474628005,null,null,{"$f":"ROW()","v":122}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O120,\" to Row \",O103, \".\")","v":"Ratio of Row 120 to Row 103."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,"Annual Vol. (000)",{"$f":"C120*weekday_per_yr/1000","v":8597.8939514334179},14564.721825713699,13717.5,10585.5,10744.89013321102,6958.3540939343557,8387.5817467245342,12717.896007911939,57848.378651126746,{"$f":"SUM(C124:K124)","v":144122.71641005573},null,null,{"$f":"ROW()","v":124}]
[null,{"$f":"CONCATENATE(\"Surviving Trips in Row \",O107, \" multiplied by number of weekdays in year and divided by 1,000.\")","v":"Surviving Trips in Row 107 multiplied by number of weekdays in year and divided by 1,000."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Toll Increment",{"$f":"Approaches!L202","v":0},{"$f":"Approaches!L202","v":0},{"$f":"Approaches!J202","v":0},{"$f":"Approaches!J202","v":0},{"$f":"2*AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$34)","v":14.688008},{"$f":"2*AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$34)","v":14.688008},{"$f":"2*AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$34)","v":14.688008},{"$f":"2*AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$34)","v":14.688008},{"$f":"2*AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$34)","v":14.688008},null,null,null,{"$f":"ROW()","v":126}]
[null,{"$f":"CONCATENATE(\"Calculated as unweighted average of weekday toll rates in 'Policy Levers', Cells K\",'Policy Levers'!O30,\"-K\",'Policy Levers'!O34,\". This is a *temporary* 'fix' that needs to be replaced by a weighted average.\")","v":"Calculated as unweighted average of weekday toll rates in 'Policy Levers', Cells K30-K34. This is a *temporary* 'fix' that needs to be replaced by a weighted average."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,"Revenue, $M",{"$f":"C124*C126/1000","v":0},0,0,0,157.82103223572454,102.20436059854057,123.19686779654393,186.80055830737862,849.67744841477884,{"$f":"SUM(C128:K128)","v":1419.7002673529664},null,null,{"$f":"ROW()","v":128}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O124,\" and \",O126, \".\")","v":"Product of Rows 124 and 126."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Weekends/Holidays multiple of Weekdays",null,null,{"$f":"Weekends!V154","v":0.8505209452271516},null,null,null,null,"Implied Wkday-to-Yr multiple",{"$f":"weekday_per_yr+E131*wkend_per_yr","v":347.80990870112242},null,null,null,{"$f":"ROW()","v":131}]
[null,{"$f":"CONCATENATE(\"Derived in 'Weekends' worksheet tab, by comparing tolled throughput between weekdays and weekends on the Triborough Bridge and Queens Midtown Tunnel during two months in 2007. Copied from Row \",Weekends!X154, \" in that worksheet.\")","v":"Derived in 'Weekends' worksheet tab, by comparing tolled throughput between weekdays and weekends on the Triborough Bridge and Queens Midtown Tunnel during two months in 2007. Copied from Row 154 in that worksheet."},null,null,null,null,null,null,{"$f":"CONCATENATE(\"Weighted avg of 1 and figure in Cell E\",O131, \", wghtd by respective days in year.\")","v":"Weighted avg of 1 and figure in Cell E131, wghtd by respective days in year."},null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,"W   E   E   K   E   N   D   S",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,null,{"$f":"C102","v":"BBT"},"QMT","Lincoln Tunnel","Holland Tunnel","Bklyn Br","Manhattan Br","Williamsburg Br","Queensboro Br","60th Street","All crossings",null,null,{"$f":"ROW()","v":135}]
[null,"Baseline Crossings",{"$f":"$E$131*C103","v":24686.370435218076},39125.66452233943,46668.084264613812,36012.757862808052,54798.213980040149,35487.135918657674,42776.100419254362,66042.100875943099,257826.06881521351,{"$f":"SUM(C136:K136)","v":603422.49709408823},null,null,{"$f":"ROW()","v":136}]
[null,{"$f":"CONCATENATE(\"Figures are inbound only, weekends, 2016. They are calculated as product of respective Row \",O103, \" figures and constant in Cell E\",O131, \".\")","v":"Figures are inbound only, weekends, 2016. They are calculated as product of respective Row 103 figures and constant in Cell E131."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Survival Rate",{"$f":"Approaches!W222","v":1.2560233209042044},{"$f":"Approaches!W222","v":1.2560233209042044},{"$f":"Approaches!U222","v":1},{"$f":"Approaches!U222","v":1},{"$f":"Approaches!V222","v":0.79477644915834489},{"$f":"Approaches!V222","v":0.79477644915834489},{"$f":"Approaches!V222","v":0.79477644915834489},{"$f":"Approaches!V222","v":0.79477644915834489},{"$f":"Approaches!T222","v":0.88550223053517862},null,null,null,{"$f":"ROW()","v":138}]
[null,{"$f":"CONCATENATE(\"From respective columns of 'Approaches' worksheet, Row \",Approaches!O222, \". E Riv tunnel and bridge figures reflect traffic re-assignment, so may be greater than 100%.\")","v":"From respective columns of 'Approaches' worksheet, Row 222. E Riv tunnel and bridge figures reflect traffic re-assignment, so may be greater than 100%."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Surviving Trips",{"$f":"C136*C138","v":31006.65697511398},49142.747085932584,46668.084264613812,36012.757862808052,43552.329927275481,28204.339876230304,33997.437200055771,52488.706429139274,228305.55902598801,{"$f":"SUM(C140:K140)","v":549378.61864715721},null,null,{"$f":"ROW()","v":140}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O138, \" percentages and Row \",O136, \" baselines.\")","v":"Product of Row 138 percentages and Row 136 baselines."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,"Reassignment #1: Triboro Bridge (if discounted) picking up trips from Queensboro Bridge",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Weekend TBB (Queens to Bronx or vice-versa) windfall trip increase (if any)",null,null,null,null,null,null,null,null,null,null,{"$f":"'MTA Crossings'!$O$316/(weekday_per_yr*J103/J136+wkend_per_yr)","v":3153.1468775839371},null,{"$f":"ROW()","v":143}]
[null,{"$f":"CONCATENATE(\"From 'MTA Crossings' Cell O\",'MTA Crossings'!AL315, \", averaged to weekdays per ratio of Cell J\",O103, \" to Cell J\",O136, \".\")","v":"From 'MTA Crossings' Cell O315, averaged to weekdays per ratio of Cell J103 to Cell J136."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Assumed share of TBB (Q-Bx) windfall that will draw from existing QBB load (Komanoff assumption)",null,null,null,null,null,null,null,null,null,null,{"$f":"1/4","v":0.25},null,{"$f":"ROW()","v":145}]
[null,"Change in QBB from TBB windfall",null,null,null,null,null,null,null,{"$f":"-M145*M143","v":-788.28671939598428},null,null,null,null,{"$f":"ROW()","v":146}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O145, \" and \",O143, \".\")","v":"Product of Rows 145 and 143."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,"Reassignment #2: Brooklyn Battery Tunnel trips moving to Queens Midtown Tunnel",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Assumed share of (baseline) BBT trips that will move to QMT, directly or indirectly (Komanoff assumption)",null,null,null,null,null,null,null,null,null,null,0.05,null,{"$f":"ROW()","v":149}]
[null,"Trips, BBT to QMT",{"$f":"-D150","v":-1234.3185217609039},{"$f":"M150","v":1234.3185217609039},{"$f":"CONCATENATE(\"Product of Cells M\",O149, \" and C\",O136, \".\")","v":"Product of Cells M149 and C136."},null,null,null,null,null,null,null,{"$f":"M149*C136","v":1234.3185217609039},null,{"$f":"ROW()","v":150}]
[null,"Tot. Reassgnmnts",{"$f":"SUM(C146:C150)","v":-1234.3185217609039},1234.3185217609039,0,0,0,0,0,-788.28671939598428,0,{"$f":"SUM(C151:K151)","v":-788.28671939598428},null,null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O146,\" and \",O150, \".\")","v":"Sum of Rows 146 and 150."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Survs w/ Reassgn",{"$f":"C140+C151","v":29772.338453353077},50377.06560769349,46668.084264613812,36012.757862808052,43552.329927275481,28204.339876230304,33997.437200055771,51700.419709743292,228305.55902598801,{"$f":"SUM(C153:K153)","v":548590.33192776132},null,null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",O140,\" and \",O151, \".\")","v":"Sum of Rows 140 and 151."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"SR w/ Reassign, %",{"$f":"C153/C136","v":1.2060233209042046},1.2875708623154474,1,1,0.79477644915834489,0.79477644915834489,0.79477644915834489,0.78284032494453859,0.88550223053517862,0.909131387327481,null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",O153,\" to Row \",O136, \".\")","v":"Ratio of Row 153 to Row 136."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Annual Volume, 000",{"$f":"C153*wkend_per_yr/1000","v":3423.8189221356042},5793.3625448847515,5366.829690430588,4141.4671542229262,5008.5179416366809,3243.4990857664848,3909.7052780064137,5945.5482666204789,26255.139287988623,{"$f":"SUM(C157:K157)","v":63087.888171692553},null,null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"Surviving Trips in Row \",O140, \" multiplied by number of weekends plus holidays in year and divided by 1,000.\")","v":"Surviving Trips in Row 140 multiplied by number of weekends plus holidays in year and divided by 1,000."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Toll Increment",{"$f":"Approaches!W202","v":0},{"$f":"Approaches!W202","v":0},{"$f":"Approaches!U202","v":0},{"$f":"Approaches!U202","v":0},{"$f":"2*AVERAGE('Policy Levers'!$K$37:'Policy Levers'!$K$40)","v":12.24001},{"$f":"2*AVERAGE('Policy Levers'!$K$37:'Policy Levers'!$K$40)","v":12.24001},{"$f":"2*AVERAGE('Policy Levers'!$K$37:'Policy Levers'!$K$40)","v":12.24001},{"$f":"2*AVERAGE('Policy Levers'!$K$37:'Policy Levers'!$K$40)","v":12.24001},{"$f":"2*AVERAGE('Policy Levers'!$K$37:'Policy Levers'!$K$40)","v":12.24001},null,null,null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"Calculated as unweighted average of weekend toll rates in 'Policy Levers', Cells K\",'Policy Levers'!O37,\"-K\",'Policy Levers'!O40,\". This is a *temporary* 'fix' that needs to be replaced by a weighted average.\")","v":"Calculated as unweighted average of weekend toll rates in 'Policy Levers', Cells K37-K40. This is a *temporary* 'fix' that needs to be replaced by a weighted average."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Revenue, $M",{"$f":"C157*C159/1000","v":0},0,0,0,61.304309690812389,39.700461244772633,47.854831699851282,72.77357023891733,321.3631674363736,{"$f":"SUM(C161:K161)","v":542.99634031072719},null,null,{"$f":"ROW()","v":161}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O157,\" and \",O159, \".\")","v":"Product of Rows 157 and 159."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,"W   E   E   K   D   A   Y   S   +   W   E   E   K   E   N   D   S",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,{"$f":"C102","v":"BBT"},"QMT","Lincoln Tunnel","Holland Tunnel","Bklyn Br","Manhattan Br","Williamsburg Br","Queensboro Br","60th Street","All crossings",null,null,{"$f":"ROW()","v":166}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,"Annual Volume, 000",{"$f":"C124+C157","v":12021.712873569022},20358.084370598452,19084.32969043059,14726.967154222926,15753.408074847701,10201.85317970084,12297.287024730947,18663.44427453242,84103.517939115365,{"$f":"SUM(C168:K168)","v":207210.60458174825},null,null,{"$f":"ROW()","v":168}]
[null,{"$f":"CONCATENATE(\"Sum of Weekday Volumes from Row \",O124,\" and Weekend Volumes from Row \",O157, \".\")","v":"Sum of Weekday Volumes from Row 124 and Weekend Volumes from Row 157."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Revenue, $M",{"$f":"C128+C161","v":0},0,0,0,219.12534192653692,141.90482184331321,171.0516994963952,259.57412854629592,1171.0406158511523,{"$f":"SUM(C171:K171)","v":1962.6966076636936},null,null,{"$f":"ROW()","v":171}]
[null,{"$f":"CONCATENATE(\"Sum of Weekday Revenues from Row \",O128,\" and Weekend Revenues from Row \",O161, \".\")","v":"Sum of Weekday Revenues from Row 128 and Weekend Revenues from Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"Adjustment factor for (i) surcharge for cash payments, (ii) trucks, and (iii) no-pays (non-revenue vehicles):",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,{"$f":"CONCATENATE(\"Cordon revenue figure in Cell L\",O171, \" is based on E-Zpass toll rates. It also assumes 100% of vehicles pay toll. In reality, some vehicles will pay with cash, incurring a surcharge, and some vehicles will not pay due to exemptions, tech failure or theft.\")","v":"Cordon revenue figure in Cell L171 is based on E-Zpass toll rates. It also assumes 100% of vehicles pay toll. In reality, some vehicles will pay with cash, incurring a surcharge, and some vehicles will not pay due to exemptions, tech failure or theft."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Non-payments",{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},{"$f":"1-'Policy Levers'!$K$85","v":0.96},null,null,null,{"$f":"ROW()","v":177}]
[null,{"$f":"CONCATENATE(\"Complement of 'Policy Levers' Cell K\",'Policy Levers'!O85,\".\")","v":"Complement of 'Policy Levers' Cell K85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Cash Surcharges",{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},{"$f":"1+IF(Select_Plan_Box=\"Baseline\",0,'Policy Levers'!$K$95/AVERAGE('Policy Levers'!$K$30:'Policy Levers'!$K$40))*(1-IF('Policy Levers'!$K$46=\"CORDON\",Cordon!$J$110,IF('Policy Levers'!$K$46=\"BRIDGES\",(1-Cordon!$J$110),IF('Policy Levers'!$K$46=\"EAST\",(1-Cordon!$J$110)))))","v":1.0040609354465244},null,null,null,{"$f":"ROW()","v":179}]
[null,{"$f":"CONCATENATE(\"Calculated through fairly complex formula built on (i) proportion by which cash surcharge raises nominal (E-ZPass) cordon toll, \" & \"and (ii) share of trips expected to pay with cash (i.e., forego E-ZPass). Both elements require IF statements to reflect plan selected by user.\" & \" First element divides cash surcharge from 'Policy Levers' worksheet tab, Cell K\",'Policy Levers'!O95, \", by unweighted avg toll from 'Policy Levers' (Cells K\",'Policy Levers'!O30,\"-K\",'Policy Levers'!O40,\"). Second element draws on Row \",'Policy Levers'!O46, \" from 'Policy Levers' tab to reflect whether toll is placed on entire cordon, or E River bridges only, or on East & Harlem River bridges.\")","v":"Calculated through fairly complex formula built on (i) proportion by which cash surcharge raises nominal (E-ZPass) cordon toll, and (ii) share of trips expected to pay with cash (i.e., forego E-ZPass). Both elements require IF statements to reflect plan selected by user. First element divides cash surcharge from 'Policy Levers' worksheet tab, Cell K95, by unweighted avg toll from 'Policy Levers' (Cells K30-K40). Second element draws on Row 46 from 'Policy Levers' tab to reflect whether toll is placed on entire cordon, or E River bridges only, or on East & Harlem River bridges."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Trucks",1.01,1.07,1.2,1.1000000000000001,1,1.1000000000000001,1.1000000000000001,1.1000000000000001,1.05,"BBT & QMT were from 'MTA Crossings' tab, require re-derivation a/o 6-28-2013. Rest are by Komanoff.",null,null,{"$f":"ROW()","v":183}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Combined",{"$f":"C179*C183*C177","v":0.97353748300894993},1.0313713928906698,1.1566781976343961,1.0602883478315297,0.96389849802866345,1.0602883478315297,1.0602883478315297,1.0602883478315297,1.0120934229300966,null,null,null,{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,"Adj. Rev., $M",{"$f":"C171*C185","v":0},0,0,0,211.21458796300624,150.46002910157412,181.36412385280818,275.22342389616119,1185.2025052869612,{"$f":"SUM(C187:K187)","v":2003.4646701005111},null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Wghtd Surv. Rate",{"$f":"(C122*weekday_per_yr+C155*wkend_per_yr)/365","v":1.1915518311985689},1.2730993726098121,1,1,0.70731592597886406,0.70731592597886406,0.70731592597886406,0.69537980176505776,0.80181905454629732,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,"H. Average Daily Crossings (source: NYC DOT, \"Manhattan River Crossings,\" various years, various tables)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Note: All 1970-2005 figures below are sum of inbound + outbound trips.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,"BBT","QMT","Trib Manh","MTA total","Bklyn Br","Manhattan Br","Williamsburg Br","Queensboro Br","ER br tot","All crossings","MTA %",null,{"$f":"ROW()","v":195}]
[null,1970,62042,77180,85121,{"$f":"SUM(C196:E196)","v":224343},100050,72077,73062,126554,{"$f":"SUM(G196:J196)","v":371743},{"$f":"F196+K196","v":596086},{"$f":"F196/L196","v":0.37636012253265466},null,{"$f":"ROW()","v":196}]
[null,{"$f":"B196+1","v":1971},64032,81747,90372,{"$f":"SUM(C197:E197)","v":236151},102535,68681,72299,120555,{"$f":"SUM(G197:J197)","v":364070},{"$f":"F197+K197","v":600221},0.39344008290279747,null,{"$f":"ROW()","v":197}]
[null,1972,52065,74936,80052,207053,103815,73803,76219,136455,390292,597345,0.34662213628640065,null,{"$f":"ROW()","v":198}]
[null,1973,49916,74214,85592,209722,102834,73401,79989,138066,394290,604012,0.34721495599425178,null,{"$f":"ROW()","v":199}]
[null,1974,46620,75219,82676,204515,99959,77198,78914,138560,394631,599146,0.34134417988269972,null,{"$f":"ROW()","v":200}]
[null,1975,45636,65315,72566,183517,103750,74320,82057,144252,404379,587896,0.31215895328425436,null,{"$f":"ROW()","v":201}]
[null,1976,52444,65881,68325,186650,102590,68057,82471,145130,398248,584898,0.31911546970582905,null,{"$f":"ROW()","v":202}]
[null,1977,53500,71150,73276,197926,104532,64835,82490,146283,398140,596066,0.3320538329648059,null,{"$f":"ROW()","v":203}]
[null,1978,58252,72696,76572,207520,104848,74257,82626,138415,400146,607666,0.34150339166581639,null,{"$f":"ROW()","v":204}]
[null,1979,60445,69827,87885,218157,91319,75403,81340,133966,382028,600185,0.36348292609778654,null,{"$f":"ROW()","v":205}]
[null,1980,62386,73216,88439,224041,103954,77914,82663,127929,392460,616501,0.36340735862553347,null,{"$f":"ROW()","v":206}]
[null,1981,58657,81211,93361,233229,102572,79589,85100,127864,395125,628354,0.37117452900753395,null,{"$f":"ROW()","v":207}]
[null,1982,56189,78229,88158,222576,110991,87760,79369,136864,414984,637560,0.34910596649727083,null,{"$f":"ROW()","v":208}]
[null,1983,61130,78134,92967,232231,115825,85222,86947,125158,413152,645383,0.35983439291087616,null,{"$f":"ROW()","v":209}]
[null,1984,58032,74808,95247,228087,110432,89104,94898,134107,428541,656628,0.34736106288492113,null,{"$f":"ROW()","v":210}]
[null,1985,63469,76065,94644,234178,116929,100825,107386,150892,476032,710210,0.32973064304923894,null,{"$f":"ROW()","v":211}]
[null,1986,60778,71478,93432,225688,126555,77784,107181,158191,469711,695399,0.32454461395544143,null,{"$f":"ROW()","v":212}]
[null,1987,63256,77813,95795,236864,123523,77519,107362,151688,460092,696956,0.33985502671617718,null,{"$f":"ROW()","v":213}]
[null,1988,62959,76243,99438,238640,129153,75221,102643,153841,460858,699498,0.34115894541514058,null,{"$f":"ROW()","v":214}]
[null,1989,59254,72828,92720,224802,131951,68593,107967,152591,461102,685904,0.32774557372460283,null,{"$f":"ROW()","v":215}]
[null,1990,60512,71186,99840,231538,129626,69550,109474,140063,448713,680251,0.34037142172521612,null,{"$f":"ROW()","v":216}]
[null,1991,63883,80616,94487,238986,128491,72695,115345,131438,447969,686955,0.34789178330458326,null,{"$f":"ROW()","v":217}]
[null,1992,62510,81835,97198,241543,125643,78117,98307,141078,443145,684688,0.35277819970555935,null,{"$f":"ROW()","v":218}]
[null,1993,57561,77288,92660,227509,134793,74526,86591,135964,431874,659383,0.34503315978725568,null,{"$f":"ROW()","v":219}]
[null,1994,57013,68511,79536,205060,134837,78418,83525,151483,448263,653323,0.31387231124573911,null,{"$f":"ROW()","v":220}]
[null,1995,61097,73882,95696,230675,131883,75126,100588,157306,464903,695578,0.33163067262046814,null,{"$f":"ROW()","v":221}]
[null,1996,57091,72285,92981,222357,131872,81075,88570,161965,463482,685839,0.32421165900451854,null,{"$f":"ROW()","v":222}]
[null,1997,54690,78023,91313,224026,147898,83209,96124,184179,511410,735436,0.30461658118449464,null,{"$f":"ROW()","v":223}]
[null,1998,61091,79697,93863,234651,144131,78172,109268,192119,523690,758341,0.30942676183933088,null,{"$f":"ROW()","v":224}]
[null,1999,63307,80941,98553,242801,127065,92311,107941,189190,516507,759308,0.31976615549948112,null,{"$f":"ROW()","v":225}]
[null,2000,63242,80879,103079,247200,147767,75684,108376,182940,514767,761967,0.32442349865545356,null,{"$f":"ROW()","v":226}]
[null,2001,{"$f":"253/365*C226+(365-253)/365*13762","v":48059.095890410965},72864,102224,223147.09589041097,95586,73064,82202,176469,427321,650468.09589041094,0.34305617339302397,null,{"$f":"ROW()","v":227}]
[null,2002,56976,82834,94759,234569,121145,66152,103364,176419,467080,701649,0.33431103015895414,null,{"$f":"ROW()","v":228}]
[null,2003,56271,85377,93177,{"$f":"SUM(C229:E229)","v":234825},134444,73767,100243,184964,{"$f":"SUM(G229:J229)","v":493418},728243,0.32245418081601884,null,{"$f":"ROW()","v":229}]
[null,2004,54488,86599,97958,{"$f":"SUM(C230:E230)","v":239045},137563,79129,110528,180369,{"$f":"SUM(G230:J230)","v":507589},746634,0.32016356072721036,null,{"$f":"ROW()","v":230}]
[null,2005,49043,86063,91898,{"$f":"SUM(C231:E231)","v":227004},132210,80363,107030,178610,{"$f":"SUM(G231:J231)","v":498213},725217,0.31301527680680402,null,{"$f":"ROW()","v":231}]
[null,"Brooklyn Battery Tunnel 2001 volume was surveyed on 1-Oct-2001 and reported as only 13,762, owing to post-9/11 restrictions. I have estimated that datum here as average of that figure from 11-Sept-01 through 31-Dec-31, and of year-2000 volume for 1-Jan-01 through 10-Sept-01. Other crossings have not been recalculated since they were only modestly less than 2000 volumes.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,"2014 Inbound",null,null,null,null,48379,43999,56079,84556,{"$f":"SUM(G235:J235)","v":233013},null,null,null,{"$f":"ROW()","v":235}]
[null,"2014 Outbound",null,null,null,null,51607,40049,55555,89683,{"$f":"SUM(G236:J236)","v":236894},null,null,null,{"$f":"ROW()","v":236}]
[null,"Source: NYCDOT, Manhattan River Crossings, 2014.",null,null,null,null,{"$f":"G235+G236","v":99986},{"$f":"H235+H236","v":84048},{"$f":"I235+I236","v":111634},{"$f":"J235+J236","v":174239},{"$f":"K235+K236","v":469907},null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,"I. NYCDOT Capital Budgeting for East River Bridges"]
[]
[null,"Figures shown are best estimate of NYC DOT's desired spending for each bridge. They're drawn from City of New York, Preliminary Capital budget, Fiscal Year 2016 (filename: pcb2_15.pdf), p. 5 (p. 18 / 162), which is \"captured\" via screenshot inserted directly below. "]
[]
[]
[null,"NB: I've taken only the \"APP\" (Appropriations) figures, on belief that other figures shown in screenshot correspond to bookkeeping subdivisions denoting sources of funds. Note that 2016 entry for Manhattan Bridge is ambiguous. I've selected \"CF\" (Cash Flow) figure for that year, rather than zero."]
[]
[]
[null,null,null,null,null,"2016 Estimate","Three Year Projections",null,null,"4-Y Total for Each Bridge"]
[null,null,null,null,null,null,2017,2018,2019]
[null,"Manhattan Bridge Reconstruction",null,null,null,24479072,26321043,82821000,67138000,{"$f":"ROUND(SUM(F249:I249),-5)","v":200800000}]
[null,"Queensboro Bridge Major Bridge Rehabilitation Program",null,null,null,58386864,107535000,69497000,70887000,{"$f":"ROUND(SUM(F250:I250),-5)","v":306300000}]
[null,"Brooklyn Bridge",null,null,null,23900709,47339000,59395000,49252000,{"$f":"ROUND(SUM(F251:I251),-5)","v":179900000}]
[null,"Williamsburg Bridge",null,null,null,"There were no entries for WBB in FY 2016 Prelim Cap Budget",null,null,null,{"$f":"ROUND(SUM(F252:I252),-5)","v":0}]
[null,"T O T A L (rounded)",null,null,null,{"$f":"ROUND(SUM(F249:F251),-5)","v":106800000},{"$f":"ROUND(SUM(G249:G251),-5)","v":181200000},{"$f":"ROUND(SUM(H249:H251),-5)","v":211700000},{"$f":"ROUND(SUM(I249:I251),-5)","v":187300000},{"$f":"ROUND(SUM(J249:J251),-5)","v":687000000}]
[null,"Average per-bridge (rounded; reflects zeroes for Williamsburg Bridge)",null,null,null,{"$f":"F253/4","v":26700000},{"$f":"G253/4","v":45300000},{"$f":"H253/4","v":52925000},{"$f":"I253/4","v":46825000},{"$f":"J253/4","v":171750000}]

{"sheet":"Pop & Employ","index":65,"n_rows":55,"n_cols":15,"rows_kept":55,"cut":false,"hidden":false,"merged":[[2,1,5,12],[7,2,7,6],[7,8,7,12]]}
[null,"Population & Employment",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[null,"This worksheet is drawn from two NYMTC spreadsheets: New York Urban Region Employment by County, 1970-2030; and New York Urban Region Population by County, 1970-2030. Those spreadsheets contain actual data for 1970, 1980, 1990, 2000 and 2002, and projections for 5-year periods from 2005 to 2030. I have eliminated most columns, in order to focus on the 2002 data and 2010 projections that we use in Reassignments to bring NYMTC 2004 hub-bound travel data to the present (2007). All rows past those for New York City could be eliminated as well."]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Annualized","Annualized"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Population","Employment"]
[null,null,"POPULATION (000)",null,null,null,null,null,"EMPLOYMENT (000)",null,null,null,null,"Increase","Increase"]
[null,"AREANAME",1990,2000,2002,2005,2010,null,1990,2000,2002,2005,2010,"2002-2010","2002-2010"]
[null,"NEW YORK CITY",7322.5640000000003,8008.2780000000002,{"$f":"SUM(E11,E12,E13,E15,E14)","v":8072.0110000000004},8209.3282656625124,8411.7449468988816,null,3966.0829999999996,4277.3040000000001,4145.2124612432108,4177.08,4460.3640000000005,{"$f":"(G10/E10)^(1/($G$9-$E$9))-1","v":5.166587449327853E-3},{"$f":"(M10/K10)^(1/($M$9-$K$9))-1","v":9.2016185390642047E-3}]
[null,"Bronx",1203.8,1332.65,{"$f":"1358370*0.001","v":1358.3700000000001},1367.4563574953504,1391.0563574953505,null,237.77884073932802,269.36767886858269,274.34538936539559,281.95291968008593,295.47205620176618,2.9766685567533813E-3,{"$f":"(M11/K11)^(1/($M$9-$K$9))-1","v":9.3164315522540342E-3}]
[null,"Kings",2300.6999999999998,2465.326,{"$f":"2475650*0.001","v":2475.65},2515.294172172124,2565.8941721721239,null,504.47856014730291,584.64592686656431,588.23102748530448,590.50666812638269,621.55228108640972,4.4855344281788945E-3,6.9113052967084698E-3]
[null,"New York",1487.5,1537.1949999999999,{"$f":"1555434*0.001","v":1555.434},1582.9510529543952,1625.7510529543952,null,2565.0704944384502,2682.2416040230059,2548.7745681861247,2545.8341289018008,2737.6868102465405,5.5422126843733821E-3,8.9776409162634074E-3]
[null,"Queens",1951.6,2229.3789999999999,{"$f":"2227172*0.001","v":2227.172},2272.7452734527114,2334.3000000000002,null,567.26232615466438,624.14769346061382,617.53038016685628,635.37033158325107,668.28081630361839,5.8897066532910269E-3,9.9214195172097064E-3]
[null,"Richmond",379,443.72800000000001,{"$f":"455385*0.001","v":455.38499999999999},470.88914509235008,494.68914509235009,null,91.558466063994103,116.91672108881522,116.33109603952991,123.4159517084793,137.37203616166528,1.0402023851442843E-2,2.0998994651401537E-2]
[]
[null,"LONG ISLAND",2609.212,2753.913,{"$f":"SUM(E18:E19)","v":2794.9920000000002},2837.2314565701263,2923.1146831560718,null,1329.8109999999999,1457.5383333333334,1464.0838054363201,1488.7629999999999,1565.7059999999997,{"$f":"(G17/E17)^(1/($G$9-$E$9))-1","v":5.6182831561715219E-3},8.4236789943097357E-3]
[null,"Nassau",1287.4000000000001,1334.5440000000001,{"$f":"1339265*0.001","v":1339.2650000000001},1357.3661896347585,1377.6661896347584,null,716.80323891354885,743.26602067021599,742.56733967317678,742.74756711659973,767.32870677309745,{"$f":"(G18/E18)^(1/($G$9-$E$9))-1","v":3.5399941042868477E-3},4.108631311031008E-3]
[null,"Suffolk",1321.8,1419.3690000000001,{"$f":"1455727*0.001","v":1455.7270000000001},1479.8008657585772,1545.4008657585771,null,613.00776108645118,714.194261682243,721.51296549933568,746.01543288340019,798.37729322690245,{"$f":"(G19/E19)^(1/($G$9-$E$9))-1","v":7.5002249029791912E-3},1.2734265935421263E-2]
[]
[null,"MID HUDSON",2025.972,2179.1889999999999,{"$f":"SUM(E22:E28)","v":2225.3290000000002},2312.7511322887294,2422.3556469744713,null,1009.2160000000001,1079.6195942700631,1094.2086032171674,1123.7797765608173,1170.9034826947582,{"$f":"(G21/E21)^(1/($G$9-$E$9))-1","v":1.0660889687648334E-2},8.5039918733933462E-3]
[null,"Dutchess",259.5,280.14999999999998,{"$f":"287675*0.001","v":287.67500000000001},300.05315555398249,328.04489264318437,null,140.38300000000001,139.37799999999999,142.0605722460657,145.8166655775542,154.77177880905222,1.6550351469542868E-2,1.07698448849749E-2]
[null,"Orange",307.60000000000002,341.36700000000002,{"$f":"355802*0.001","v":355.80200000000002},375.63438703916768,408.87166403447287,null,128.29599999999999,149.76192760339609,152.20250021286884,160.4038554163987,171.43028629467872,1.7530248677973148E-2,1.498171971766693E-2]
[null,"Putnam",83.9,95.745000000000005,{"$f":"98530*0.001","v":98.53},101.91265205387383,110.04260510551703,null,26.291999999999998,32.888999999999996,33.989915593706122,36.526742668155457,38.289870830783229,1.3909162123300733E-2,1.5001600104582513E-2]
[null,"Rockland",265.5,286.75299999999999,{"$f":"291230*0.001","v":291.23},298.90671343241308,315.68117352630981,null,122.666,133.73366666666666,137.73404291845188,142.04251121127027,148.69820432591385,1.0128376620787138E-2,9.6202521098163185E-3]
[null,"Sullivan",69.3,73.966000000000008,{"$f":"74132*0.001","v":74.132000000000005},79.121936440719281,90.339213436024451,null,31.753999999999998,33.06666666666667,33.775333333333585,34.831314427276027,36.293361863723931,2.5023502856122537E-2,9.0285263187799281E-3]
[null,"Ulster",165.3,177.749,{"$f":"180066*0.001","v":180.066},188.82928494427665,195.2097544278447,null,76.19,81.562666666666999,81.732406294704788,86.051235722887711,88.525905552994772,1.0145014469276514E-2,1.0030553892943717E-2]
[null,"Westchester",874.9,923.45900000000006,{"$f":"937894*0.001","v":937.89400000000001},968.1985134201002,974.16733971117992,null,483.63499999999999,509.22766666666666,512.71383261803646,518.10745153727487,532.89407501761127,4.7545370303474499E-3,4.837263528101543E-3]
[]
[null,"NEW JERSEY",6097.1,6661.75,{"$f":"SUM(E31:E44)","v":6790.155999999999},6927.0289716676807,7095.904076793764,null,3403.9279610893177,3748.346534045927,3766.5,3882.0190000000002,4079.5120000000006,{"$f":"(G30/E30)^(1/($G$9-$E$9))-1","v":5.5206593252123959E-3},1.002885337381576E-2]
[null,"Bergen",825.4,884.11800000000005,{"$f":"894454*0.001","v":894.45400000000006},905.37254527187088,907.35754527187089,null,533.80100000000004,570.24772968980778,566.87270160194873,581.28282840122756,593.09880099722284,1.7919915338586723E-3,5.6692887989240326E-3]
[null,"Essex",778,793.63300000000004,{"$f":"795905*0.001","v":795.90499999999997},809.79779679299008,818.03079679299003,null,436.15023460629698,451.07033303901926,447.09922467411047,442.31762451922555,456.59417303885624,3.4333997599746979E-3,2.6302559778292878E-3]
[null,"Hudson",553.1,608.97500000000002,{"$f":"609936*0.001","v":609.93600000000004},622.11724379213331,648.59624379213335,null,273.53899999999999,287.613,289.35000000000002,286.63461487783809,300.44087827055699,7.7116287408887096E-3,4.7128158070819381E-3]
[null,"Hunterdon",107.9,121.989,{"$f":"126685*0.001","v":126.685},130.00344578471757,136.07144578471758,null,51.363891777295564,68.815250761188224,71.685546805448752,75.299041771604067,83.362675456650095,8.9745814729309537E-3,1.9042988722687504E-2]
[null,"Mercer",325.8,350.76100000000002,{"$f":"358180*0.001","v":358.18},366.54256842352117,388.36256842352117,null,223.57599999999999,244.30566666666667,252.83333333333334,260.024363692669,271.46874981220901,1.0164271908393863E-2,8.9291946073675188E-3]
[null,"Middlesex",671.7,750.16200000000003,{"$f":"772410*0.001","v":772.41},785.62453094739044,813.4825309473905,null,407.5028795546267,474.4121309814555,474.23886931217595,502.98066233841519,528.13343594853905,6.4971348223645808E-3,1.3545651303325634E-2]
[null,"Monmouth",553.20000000000005,615.30100000000004,{"$f":"627668*0.001","v":627.66800000000001},651.95465397007979,664.98665397007971,null,265.54491465494135,306.62303913608719,315.12630122382694,332.36363741107283,357.75991427763074,7.2455739348293857E-3,1.5987531589566117E-2]
[null,"Morris ",421.3,470.21199999999999,{"$f":"478622*0.001","v":478.62200000000001},494.76286083394513,500.42786083394509,null,288.42099999999999,342.62736817653285,344.16918218939907,367.00800643725489,392.04999087565488,5.5845749678875567E-3,1.6415275911483507E-2]
[null,"Ocean ",433.2,510.916,{"$f":"536769*0.001","v":536.76900000000001},552.93618504213578,574.11718504213582,null,146.08708534505865,179.40492033352464,189.41284699116557,199.72500949218593,216.43739262913405,8.4436603281328182E-3,1.6811285340348148E-2]
[null,"Passaic ",470.9,489.04900000000004,{"$f":"496508*0.001","v":496.50800000000004},498.75374370765985,503.80574370765981,null,225.012,218.83916571700391,213.6334965381813,217.71568116483482,219.95771598943881,1.8255603698635881E-3,3.6533339706259493E-3]
[null,"Somerset ",240.2,297.49,{"$f":"307722*0.001","v":307.72199999999998},314.90176872042383,330.40976872042381,null,166.08022866807781,217.73396409352642,213.39197152587164,233.17006208373377,262.67907675563367,8.931755893687443E-3,2.6315589205490708E-2]
[null,"Sussex ",130.9,144.166,{"$f":"148875*0.001","v":148.875},151.99895419041098,156.073954190411,null,41.959736428493642,53.127471932994403,54.910153863380557,58.768441308135067,63.64834279485207,5.9203228177411305E-3,1.8630803096973514E-2]
[null,"Union ",493.8,522.54100000000005,{"$f":"528924*0.001","v":528.92399999999998},530.79271252730723,538.81171252730724,null,302.96114040921555,289.20601479430394,287.85462817850748,278.15914440705939,284.17379223474808,2.3178606242535427E-3,-1.6074059798228957E-3]
[null,"Warren ",91.7,102.437,{"$f":"107498*0.001","v":107.498},111.44407761174801,115.36907761174801,null,41.92884964531104,44.320478723816656,45.936118115225291,46.569882094744017,49.707060918874006,8.8721408296439375E-3,9.910701302436431E-3]
[]
[null,"CONNECTICUT",1805.9560000000001,1888.768,{"$f":"SUM(E47:E49)","v":1916.6750000000002},1958.3663927477057,2016.4776528101695,null,1027.991,1064.9205478101658,1056.2,1072.2138484543318,1135.2762411730598,{"$f":"(G46/E46)^(1/($G$9-$E$9))-1","v":6.3652148170101341E-3},9.0656518821878862E-3]
[null,"Fairfield",827.7,882.56700000000001,{"$f":"894622*0.001","v":894.62200000000007},916.1317848357919,945.69840590282342,null,509.625,536.9035806829412,530.0541261201098,534.82199224146825,568.27403121055511,{"$f":"(G47/E47)^(1/($G$9-$E$9))-1","v":6.9644429302491151E-3},8.7410600925263982E-3]
[null,"Litchfield",174.1,182.19300000000001,{"$f":"186384*0.001","v":186.38400000000001},191.85259224334578,206.87434326933757,null,83.003999999999991,89.458142164088557,89.691184476548742,93.62809870070916,100.22445553469753,{"$f":"(G48/E48)^(1/($G$9-$E$9))-1","v":1.3123176614415977E-2},1.3976741432622175E-2]
[null,"New Haven",804.2,824.00800000000004,{"$f":"835669*0.001","v":835.66899999999998},850.38798157934355,863.89960948632029,null,435.36200000000002,438.55882496313615,436.46635115037873,443.76375751215431,466.77775442780717,{"$f":"(G49/E49)^(1/($G$9-$E$9))-1","v":4.161631595765547E-3},8.4280627387689488E-3]
[]
[null,"REGION",19860.803999999996,21491.898000000001,{"$f":"21799163*0.001","v":21799.163},22244.706218936753,22869.597006633358,null,10737.028961089318,11627.729009459488,{"$f":"SUM(K46+K30+K21+K17+K10)","v":11526.204869896697},11743.855625015149,12411.761723867818,{"$f":"(G51/E51)^(1/($G$9-$E$9))-1","v":6.0100900858077733E-3},9.2956160666761711E-3]
[]
[null,"Source: New York Metropolitan Transportation Council, September 2004"]
[null,"Note: 2002 estimates from U.S. Bureau of the Census, U.S. Bureau of Labor Statistics, U.S. Bureau of Economic Analysis"]
[null," Analysis by Community Consulting Services, March 2005"]

{"sheet":"40 Years On","index":66,"n_rows":245,"n_cols":30,"rows_kept":245,"cut":false,"hidden":false,"merged":[[37,8,40,8],[12,5,12,8],[22,5,22,8],[27,1,28,12],[27,21,27,29],[30,1,31,12],[19,1,21,12],[12,10,12,19],[12,21,12,28],[14,16,15,16],[14,17,15,17],[14,18,15,18],[14,21,15,21],[14,22,15,22],[14,24,15,24],[14,10,15,10],[14,29,15,29],[14,25,15,25],[14,26,15,26],[14,27,15,27],[14,28,15,28],[5,1,7,11],[14,23,15,23],[13,5,15,5],[13,6,15,6],[13,7,15,7],[13,8,15,8],[14,19,15,19],[14,11,15,11],[14,12,15,12],[14,13,15,13],[14,14,15,14],[14,15,15,15]]}
[null,"40 Years On",null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet makes 40-year revenue projections for toll plan selected in Results worksheet tab.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,{"$f":"CONCATENATE(\"Revenue projections here are for bridges and tunnels, 60th St portal to Manhattan CBD, and FHV/taxi surcharges. Omitted is any NYC \" & \"Transit ''windfall'' from increased use of public transit as a result of toll disincentive or attractive effect of transit improvements financed by toll \" & \"revenues. These revenues may be seen in 'Results' tab, in Cells I\",Results!N51, \" and I\",Results!N52,\".\")","v":"Revenue projections here are for bridges and tunnels, 60th St portal to Manhattan CBD, and FHV/taxi surcharges. Omitted is any NYC Transit ''windfall'' from increased use of public transit as a result of toll disincentive or attractive effect of transit improvements financed by toll revenues. These revenues may be seen in 'Results' tab, in Cells I51 and I52."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Click","Here","for 40-yr graph of annual net revenue.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"All figures in this worksheet are annual.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,"S U M M A R Y",null,null,null,null,"B R I D G E S    A N D    T U N N E L S    T H A T    E N T E R    M A N H A T T A N    C B D",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13},"M T A    B R I D G E S    T H A T    D O    N O T    E N T E R    M A N H A T T A N    C B D"]
[null,null,null,null,null,"Manhattan CBD Crossings","MTA Bridges (non-CBD related)","Taxi Surcharge","\nTotal",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,"Brooklyn-Batt Tunnel","QMT","Lincoln Tunnel","Holland Tunnel","Brooklyn Bridge","Manhattan Bridge","Williamsburg Bridge","Queensboro Bridge","60th Street","Subtotal",{"$f":"ROW()","v":15},"Verrazano-Narrows","Triborough (Manhattan)","Triborough (Bronx)","Bronx-Whitestone Br","Throgs Neck Bridge","Henry Hudson Bridge","Marine Pkwy Bridge","Cross Bay Blvd Bridge","Subtotal"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"Baseline",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Baseline Traffic Volume, Annual, 000",null,null,null,{"$f":"T19","v":246762.08716582012},{"$f":"AD19","v":270629},"NA",{"$f":"SUM(F19:H19)","v":517391.08716582012},null,{"$f":"(Bridges!C103*weekday_per_yr+Bridges!C136*wkend_per_yr)/1000","v":10095.182600050079},{"$f":"(Bridges!D103*weekday_per_yr+Bridges!D136*wkend_per_yr)/1000","v":15999.951420069036},{"$f":"(Bridges!E103*weekday_per_yr+Bridges!E136*wkend_per_yr)/1000","v":19084.32969043059},{"$f":"(Bridges!F103*weekday_per_yr+Bridges!F136*wkend_per_yr)/1000","v":14726.967154222926},{"$f":"(Bridges!G103*weekday_per_yr+Bridges!G136*wkend_per_yr)/1000","v":22409.044607704618},{"$f":"(Bridges!H103*weekday_per_yr+Bridges!H136*wkend_per_yr)/1000","v":14512.020630645633},{"$f":"(Bridges!I103*weekday_per_yr+Bridges!I136*wkend_per_yr)/1000","v":17492.751548214252},{"$f":"(Bridges!J103*weekday_per_yr+Bridges!J136*wkend_per_yr)/1000","v":27007.091600733456},{"$f":"(Bridges!K103*weekday_per_yr+Bridges!K136*wkend_per_yr)/1000","v":105434.74791374954},{"$f":"SUM(K19:S19)","v":246762.08716582012},{"$f":"ROW()","v":19},{"$f":"'MTA Crossings'!T36","v":72907},{"$f":"'MTA Crossings'!T37","v":32563.326816032881},{"$f":"'MTA Crossings'!T38","v":32566.673183967123},{"$f":"'MTA Crossings'!T39","v":46380},{"$f":"'MTA Crossings'!T40","v":43852},{"$f":"'MTA Crossings'!T43","v":25817},{"$f":"'MTA Crossings'!T44","v":8050},{"$f":"'MTA Crossings'!T45","v":8493},{"$f":"SUM(V19:AC19)","v":270629}]
[null,{"$f":"CONCATENATE(\"Volumes for CBD portals are inbound only and cover all motor vehicles. They are calculated as sum of baseline annual motor vehicle volumes for weekdays and weekends, by multiplying per-day volumes from 'Bridges' worksheet, Rows \",Bridges!O103,\" and \",Bridges!O136,\", by respective numbers of such days in year. Volumes for MTA bridges (not tunnels) at far right are in both directions and are toll-payers only. They are taken from 'MTA Crossings' worksheet, Column T, Rows \",'MTA Crossings'!AL36,\"-\",'MTA Crossings'!AL45,\".\")","v":"Volumes for CBD portals are inbound only and cover all motor vehicles. They are calculated as sum of baseline annual motor vehicle volumes for weekdays and weekends, by multiplying per-day volumes from 'Bridges' worksheet, Rows 103 and 136, by respective numbers of such days in year. Volumes for MTA bridges (not tunnels) at far right are in both directions and are toll-payers only. They are taken from 'MTA Crossings' worksheet, Column T, Rows 36-45."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Baseline Toll Revenue",null,null,null,"N O T    A P P L I C A B L E",null,null,null,null,{"$f":"1000*'MTA Crossings'!U152","v":108376},{"$f":"1000*'MTA Crossings'!U153","v":165577},{"$f":"Revenues!H163/1000","v":266635},{"$f":"Revenues!H162/1000","v":193031},0,0,0,0,0,{"$f":"SUM(K23:S23)","v":733619},{"$f":"ROW()","v":23},{"$f":"1000*'MTA Crossings'!U147","v":424726},{"$f":"1000*'MTA Crossings'!U148","v":222815.55118796739},{"$f":"1000*'MTA Crossings'!U149","v":222838.44881203261},{"$f":"1000*'MTA Crossings'!U150","v":329546},{"$f":"1000*'MTA Crossings'!U151","v":346263},{"$f":"1000*'MTA Crossings'!U154","v":85328},{"$f":"1000*'MTA Crossings'!U155","v":17662},{"$f":"1000*'MTA Crossings'!U156","v":18850},{"$f":"SUM(V23:AC23)","v":1668029}]
[null,{"$f":"CONCATENATE(\"MTA bridges and tunnels are 2013 figures from 'MTA Crossings' worksheet, Cells U\", 'MTA Crossings'!AL147, \"-U\",'MTA Crossings'!AL156, \". PANYNJ tunnels are 2013 values from 'Revenues' worksheet, Section D.\")","v":"MTA bridges and tunnels are 2013 figures from 'MTA Crossings' worksheet, Cells U147-U156. PANYNJ tunnels are 2013 values from 'Revenues' worksheet, Section D."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"With Traffic Pricing",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"First Tolled Year Traffic Volume",null,null,null,{"$f":"T27","v":207210.60458174822},{"$f":"AD27","v":272098.89},"NA",{"$f":"SUM(F27:H27)","v":479309.49458174827},null,{"$f":"Bridges!C168","v":12021.71287356902},{"$f":"Bridges!D168","v":20358.084370598448},{"$f":"Bridges!E168","v":19084.32969043059},{"$f":"Bridges!F168","v":14726.967154222926},{"$f":"Bridges!G168","v":15753.40807484769},{"$f":"Bridges!H168","v":10201.853179700833},{"$f":"Bridges!I168","v":12297.28702473094},{"$f":"Bridges!J168","v":18663.444274532405},{"$f":"Bridges!K168","v":84103.517939115336},{"$f":"SUM(K27:S27)","v":207210.60458174819},{"$f":"ROW()","v":27},{"$f":"V19+'MTA Crossings'!P305/1000","v":74365.14},{"$f":"W19+'MTA Crossings'!P306/1000","v":33214.593352353535},{"$f":"X19+'MTA Crossings'!P307/1000","v":33218.006647646464},{"$f":"Y19+'MTA Crossings'!P308/1000","v":46380},{"$f":"Z19+'MTA Crossings'!P309/1000","v":43852},{"$f":"AA19+'MTA Crossings'!P312/1000","v":24526.15},{"$f":"AB19+'MTA Crossings'!P313/1000","v":8050},{"$f":"AC19+'MTA Crossings'!P314/1000","v":8493},{"$f":"SUM(V27:AC27)","v":272098.89}]
[null,{"$f":"CONCATENATE(\"Volumes for CBD portals are inbound only and are from 'Bridges' worksheet, Row \",Bridges!O168, \". They exclude taxicabs, which are assumed ''tolled'' via special taxi surcharge. Volumes for MTA bridges are in both directions (a round-trip counts as two trips) and are sum of Baseline trips in Row \",U19, \" and changes in trips derived in ''MTA Crossings'' worksheet, Column P, Rows \",'MTA Crossings'!AL305, \"-\",'MTA Crossings'!AL314, \".\")","v":"Volumes for CBD portals are inbound only and are from 'Bridges' worksheet, Row 168. They exclude taxicabs, which are assumed ''tolled'' via special taxi surcharge. Volumes for MTA bridges are in both directions (a round-trip counts as two trips) and are sum of Baseline trips in Row 19 and changes in trips derived in ''MTA Crossings'' worksheet, Column P, Rows 305-314."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28},"Figures directly above are total trips (000) on each bridge, rather than changes, although revenue figures in next data row reflect changes."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Gross Revenues, First Tolled Year",null,null,null,{"$f":"ROUND(T30,-6)","v":2004000000},{"$f":"ROUND(AD30,-6)","v":0},{"$f":"ROUND(Revenues!K69*1000000,-6)","v":387000000},{"$f":"SUM(F30:H30)","v":2391000000},null,{"$f":"ROUND(Bridges!C187*1000000,-3)","v":0},{"$f":"ROUND(Bridges!D187*1000000,-3)","v":0},{"$f":"ROUND(Bridges!E187*1000000,-3)","v":0},{"$f":"ROUND(Bridges!F187*1000000,-3)","v":0},{"$f":"ROUND(Bridges!G187*1000000,-5)","v":211200000},{"$f":"ROUND(Bridges!H187*1000000,-5)","v":150500000},{"$f":"ROUND(Bridges!I187*1000000,-5)","v":181400000},{"$f":"ROUND(Bridges!J187*1000000,-5)","v":275200000},{"$f":"ROUND(Bridges!K187*1000000,-5)","v":1185200000},{"$f":"SUM(K30:S30)","v":2003500000},{"$f":"ROW()","v":30},{"$f":"'MTA Crossings'!S305","v":35},{"$f":"'MTA Crossings'!S306","v":25},{"$f":"'MTA Crossings'!S307","v":30},{"$f":"'MTA Crossings'!S308","v":32.5},{"$f":"'MTA Crossings'!S309","v":35},{"$f":"'MTA Crossings'!S312","v":27.5},{"$f":"'MTA Crossings'!S313","v":30},{"$f":"'MTA Crossings'!S314","v":30},{"$f":"SUM(V30:AC30)","v":245}]
[null,{"$f":"CONCATENATE(\"Figures for CBD portals are increments to any current tolls collected by MTA on East River tunnels and PANYNJ on Hudson River tunnels. They are taken from 'Bridges' worksheet, Row \",Bridges!O187, \". Figures for MTA's non-CBD crossings are also increments from traffic pricing, and are from ''MTA Crossings'' worksheet, Column T, Rows \",'MTA Crossings'!$AL305, \"-\",'MTA Crossings'!$AL314, \". Taxi Surcharge is from 'Revenues',' Cell M\",Revenues!R56, \".\")","v":"Figures for CBD portals are increments to any current tolls collected by MTA on East River tunnels and PANYNJ on Hudson River tunnels. They are taken from 'Bridges' worksheet, Row 187. Figures for MTA's non-CBD crossings are also increments from traffic pricing, and are from ''MTA Crossings'' worksheet, Column T, Rows 305-314. Taxi Surcharge is from 'Revenues',' Cell M56."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Toll Revenues Lost to Outer-Borough Discounts",null,null,null,{"$f":"ROUND(T33,-6)","v":0},{"$f":"ROUND(AD33,-6)","v":0},0,{"$f":"SUM(F33:H33)","v":0},null,0,0,0,0,0,0,0,0,0,{"$f":"SUM(K33:S33)","v":0},{"$f":"ROW()","v":33},{"$f":"1000000*'MTA Crossings'!U265","v":0},{"$f":"1000000*'MTA Crossings'!U266","v":0},{"$f":"1000000*'MTA Crossings'!U267","v":0},{"$f":"1000000*'MTA Crossings'!U268","v":0},{"$f":"1000000*'MTA Crossings'!U269","v":0},{"$f":"'MTA Crossings'!R312","v":-16.942015735681483},{"$f":"1000000*'MTA Crossings'!U273","v":0},{"$f":"1000000*'MTA Crossings'!U274","v":0},{"$f":"SUM(V33:AC33)","v":-16.942015735681483}]
[null,{"$f":"CONCATENATE(\"Applies only to MTA's non-CBD crossings. Figures are from 'MTA Crossings' worksheet, Column S, Rows \",'MTA Crossings'!AL305, \"-\",'MTA Crossings'!AL314, \".\")","v":"Applies only to MTA's non-CBD crossings. Figures are from 'MTA Crossings' worksheet, Column S, Rows 305-314."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Net Revenue Change",null,null,null,{"$f":"F30+F33","v":2004000000},{"$f":"G30+G33","v":0},{"$f":"H30+H33","v":387000000},{"$f":"SUM(F35:H35)","v":2391000000},null,{"$f":"K30+K33","v":0},0,0,0,211200000,150500000,181400000,275200000,1185200000,{"$f":"SUM(K35:S35)","v":2003500000},{"$f":"ROW()","v":35},{"$f":"V30+V33","v":35},{"$f":"W30+W33","v":25},{"$f":"X30+X33","v":30},32.5,35,10.557984264318517,30,30,{"$f":"SUM(V35:AC35)","v":228.05798426431852}]
[null,{"$f":"CONCATENATE(\"Sum of Rows \",U30, \" and \",U33, \".\")","v":"Sum of Rows 30 and 33."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,"40-Year Growth Parameters",null,"Years 1-20","Years 21-40","Figures are assumptions of annual growth.",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,"CBD Crossings, Years 1-20: ",null,5.0000000000000001E-3,0,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,"Non-CBD Crossings, all years:",null,0.01,0.01,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,"Taxi Trips, all years:",null,0,0,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,"CBD X-ings","MTA Bridges","Taxi Surcharge","\nTotal",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Year 01","Gross Revenues",null,null,{"$f":"ROUND(T45,-6)","v":2004000000},{"$f":"ROUND(AD45,-6)","v":0},{"$f":"H30","v":387000000},{"$f":"SUM(F45:H45)","v":2391000000},null,{"$f":"K30","v":0},0,0,0,211200000,150500000,181400000,275200000,1185200000,{"$f":"SUM(K45:S45)","v":2003500000},{"$f":"ROW()","v":45},{"$f":"V30","v":35},{"$f":"W30","v":25},{"$f":"X30","v":30},32.5,35,27.5,30,30,{"$f":"SUM(V45:AC45)","v":245}]
[null,{"$f":"B45","v":"Year 01"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T46,-6)","v":0},{"$f":"ROUND(AD46,-6)","v":0},{"$f":"H33","v":0},{"$f":"SUM(F46:H46)","v":0},null,{"$f":"K33","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K46:S46)","v":0},{"$f":"ROW()","v":46},{"$f":"V33","v":0},{"$f":"W33","v":0},{"$f":"X33","v":0},0,0,-16.942015735681483,0,0,{"$f":"SUM(V46:AC46)","v":-16.942015735681483}]
[null,{"$f":"B46","v":"Year 01"},"Net Revenue Change",null,null,{"$f":"F45+F46","v":2004000000},{"$f":"G45+G46","v":0},{"$f":"H45+H46","v":387000000},{"$f":"SUM(F47:H47)","v":2391000000},null,{"$f":"K45+K46","v":0},0,0,0,211200000,150500000,181400000,275200000,1185200000,{"$f":"SUM(K47:S47)","v":2003500000},{"$f":"ROW()","v":47},{"$f":"V45+V46","v":35},{"$f":"W35","v":25},{"$f":"X35","v":30},32.5,35,10.557984264318517,30,30,{"$f":"SUM(V47:AC47)","v":228.05798426431852}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Year 02","Gross Revenues",null,null,{"$f":"ROUND(T49,-6)","v":2014000000},{"$f":"ROUND(AD49,-6)","v":0},{"$f":"IF((MID($B49,6,2))^2<=400,H45*(1+$G$41),H45*(1+$H$41))","v":387000000},{"$f":"SUM(F49:H49)","v":2401000000},null,{"$f":"IF((MID($B49,6,2))^2<=400,K45*(1+$G$39),K45*(1+$H$39))","v":0},0,0,0,212255999.99999997,151252499.99999997,182306999.99999997,276576000,1191125999.9999998,{"$f":"SUM(K49:S49)","v":2013517499.9999995},{"$f":"ROW()","v":49},{"$f":"IF((MID($B49,6,2))^2<=400,V45*(1+$G$40),V45*(1+$H$40))","v":35.35},25.25,{"$f":"IF((MID($B49,6,2))^2<=400,X45*(1+$G$40),X45*(1+$H$40))","v":30.3},32.825000000000003,35.35,27.774999999999999,30.3,30.3,{"$f":"SUM(V49:AC49)","v":247.45000000000005}]
[null,{"$f":"B49","v":"Year 02"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T50,-6)","v":0},{"$f":"ROUND(AD50,-6)","v":0},{"$f":"IF((MID($B50,6,2))^2<=400,H46*(1+$G$41),H46*(1+$H$41))","v":0},{"$f":"SUM(F50:H50)","v":0},null,{"$f":"IF((MID($B50,6,2))^2<=400,K46*(1+$G$39),K46*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K50:S50)","v":0},{"$f":"ROW()","v":50},0,0,{"$f":"IF((MID($B50,6,2))^2<=400,X46*(1+$G$40),X46*(1+$H$40))","v":0},0,0,-17.111435893038298,0,0,{"$f":"SUM(V50:AC50)","v":-17.111435893038298}]
[null,{"$f":"B50","v":"Year 02"},"Net Revenue Change",null,null,{"$f":"F49+F50","v":2014000000},{"$f":"G49+G50","v":0},{"$f":"H49+H50","v":387000000},{"$f":"SUM(F51:H51)","v":2401000000},null,{"$f":"K49+K50","v":0},0,0,0,212255999.99999997,151252499.99999997,182306999.99999997,276576000,1191125999.9999998,{"$f":"SUM(K51:S51)","v":2013517499.9999995},{"$f":"ROW()","v":51},{"$f":"V49+V50","v":35.35},25.25,{"$f":"X49+X50","v":30.3},32.825000000000003,35.35,10.663564106961701,30.3,30.3,{"$f":"SUM(V51:AC51)","v":230.33856410696174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Year 03","Gross Revenues",null,null,{"$f":"ROUND(T53,-6)","v":2024000000},{"$f":"ROUND(AD53,-6)","v":0},{"$f":"IF((MID($B53,6,2))^2<=400,H49*(1+$G$41),H49*(1+$H$41))","v":387000000},{"$f":"SUM(F53:H53)","v":2411000000},null,{"$f":"IF((MID($B53,6,2))^2<=400,K49*(1+$G$39),K49*(1+$H$39))","v":0},0,0,0,213317279.99999994,152008762.49999994,183218534.99999994,277958880,1197081629.9999995,{"$f":"SUM(K53:S53)","v":2023585087.4999993},{"$f":"ROW()","v":53},{"$f":"IF((MID($B53,6,2))^2<=400,V49*(1+$G$40),V49*(1+$H$40))","v":35.703499999999998},25.502500000000001,{"$f":"IF((MID($B53,6,2))^2<=400,X49*(1+$G$40),X49*(1+$H$40))","v":30.603000000000002},33.15325,35.703499999999998,28.05275,30.603000000000002,30.603000000000002,{"$f":"SUM(V53:AC53)","v":249.92450000000002}]
[null,{"$f":"B53","v":"Year 03"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T54,-6)","v":0},{"$f":"ROUND(AD54,-6)","v":0},{"$f":"IF((MID($B54,6,2))^2<=400,H50*(1+$G$41),H50*(1+$H$41))","v":0},{"$f":"SUM(F54:H54)","v":0},null,{"$f":"IF((MID($B54,6,2))^2<=400,K50*(1+$G$39),K50*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K54:S54)","v":0},{"$f":"ROW()","v":54},0,0,{"$f":"IF((MID($B54,6,2))^2<=400,X50*(1+$G$40),X50*(1+$H$40))","v":0},0,0,-17.282550251968679,0,0,{"$f":"SUM(V54:AC54)","v":-17.282550251968679}]
[null,{"$f":"B54","v":"Year 03"},"Net Revenue Change",null,null,{"$f":"F53+F54","v":2024000000},{"$f":"G53+G54","v":0},{"$f":"H53+H54","v":387000000},{"$f":"SUM(F55:H55)","v":2411000000},null,{"$f":"K53+K54","v":0},0,0,0,213317279.99999994,152008762.49999994,183218534.99999994,277958880,1197081629.9999995,{"$f":"SUM(K55:S55)","v":2023585087.4999993},{"$f":"ROW()","v":55},{"$f":"V53+V54","v":35.703499999999998},25.502500000000001,{"$f":"X53+X54","v":30.603000000000002},33.15325,35.703499999999998,10.77019974803132,30.603000000000002,30.603000000000002,{"$f":"SUM(V55:AC55)","v":232.64194974803135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Year 04","Gross Revenues",null,null,{"$f":"ROUND(T57,-6)","v":2034000000},{"$f":"ROUND(AD57,-6)","v":0},{"$f":"IF((MID($B57,6,2))^2<=400,H53*(1+$G$41),H53*(1+$H$41))","v":387000000},{"$f":"SUM(F57:H57)","v":2421000000},null,{"$f":"IF((MID($B57,6,2))^2<=400,K53*(1+$G$39),K53*(1+$H$39))","v":0},0,0,0,214383866.39999992,152768806.31249991,184134627.67499992,279348674.39999998,1203067038.1499994,{"$f":"SUM(K57:S57)","v":2033703012.937499},{"$f":"ROW()","v":57},{"$f":"IF((MID($B57,6,2))^2<=400,V53*(1+$G$40),V53*(1+$H$40))","v":36.060535000000002},25.757525000000001,{"$f":"IF((MID($B57,6,2))^2<=400,X53*(1+$G$40),X53*(1+$H$40))","v":30.909030000000001},33.484782500000001,36.060535000000002,28.333277500000001,30.909030000000001,30.909030000000001,{"$f":"SUM(V57:AC57)","v":252.423745}]
[null,{"$f":"B57","v":"Year 04"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T58,-6)","v":0},{"$f":"ROUND(AD58,-6)","v":0},{"$f":"IF((MID($B58,6,2))^2<=400,H54*(1+$G$41),H54*(1+$H$41))","v":0},{"$f":"SUM(F58:H58)","v":0},null,{"$f":"IF((MID($B58,6,2))^2<=400,K54*(1+$G$39),K54*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K58:S58)","v":0},{"$f":"ROW()","v":58},0,0,{"$f":"IF((MID($B58,6,2))^2<=400,X54*(1+$G$40),X54*(1+$H$40))","v":0},0,0,-17.455375754488365,0,0,{"$f":"SUM(V58:AC58)","v":-17.455375754488365}]
[null,{"$f":"B58","v":"Year 04"},"Net Revenue Change",null,null,{"$f":"F57+F58","v":2034000000},{"$f":"G57+G58","v":0},{"$f":"H57+H58","v":387000000},{"$f":"SUM(F59:H59)","v":2421000000},null,{"$f":"K57+K58","v":0},0,0,0,214383866.39999992,152768806.31249991,184134627.67499992,279348674.39999998,1203067038.1499994,{"$f":"SUM(K59:S59)","v":2033703012.937499},{"$f":"ROW()","v":59},{"$f":"V57+V58","v":36.060535000000002},25.757525000000001,{"$f":"X57+X58","v":30.909030000000001},33.484782500000001,36.060535000000002,10.877901745511636,30.909030000000001,30.909030000000001,{"$f":"SUM(V59:AC59)","v":234.96836924551161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,"Year 05","Gross Revenues",null,null,{"$f":"ROUND(T61,-6)","v":2044000000},{"$f":"ROUND(AD61,-6)","v":0},{"$f":"IF((MID($B61,6,2))^2<=400,H57*(1+$G$41),H57*(1+$H$41))","v":387000000},{"$f":"SUM(F61:H61)","v":2431000000},null,{"$f":"IF((MID($B61,6,2))^2<=400,K57*(1+$G$39),K57*(1+$H$39))","v":0},0,0,0,215455785.7319999,153532650.34406239,185055300.81337491,280745417.77199996,1209082373.3407493,{"$f":"SUM(K61:S61)","v":2043871528.0021863},{"$f":"ROW()","v":61},{"$f":"IF((MID($B61,6,2))^2<=400,V57*(1+$G$40),V57*(1+$H$40))","v":36.421140350000002},26.01510025,{"$f":"IF((MID($B61,6,2))^2<=400,X57*(1+$G$40),X57*(1+$H$40))","v":31.218120300000002},33.819630324999999,36.421140350000002,28.616610275000003,31.218120300000002,31.218120300000002,{"$f":"SUM(V61:AC61)","v":254.94798245000001}]
[null,{"$f":"B61","v":"Year 05"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T62,-6)","v":0},{"$f":"ROUND(AD62,-6)","v":0},{"$f":"IF((MID($B62,6,2))^2<=400,H58*(1+$G$41),H58*(1+$H$41))","v":0},{"$f":"SUM(F62:H62)","v":0},null,{"$f":"IF((MID($B62,6,2))^2<=400,K58*(1+$G$39),K58*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K62:S62)","v":0},{"$f":"ROW()","v":62},0,0,{"$f":"IF((MID($B62,6,2))^2<=400,X58*(1+$G$40),X58*(1+$H$40))","v":0},0,0,-17.62992951203325,0,0,{"$f":"SUM(V62:AC62)","v":-17.62992951203325}]
[null,{"$f":"B62","v":"Year 05"},"Net Revenue Change",null,null,{"$f":"F61+F62","v":2044000000},{"$f":"G61+G62","v":0},{"$f":"H61+H62","v":387000000},{"$f":"SUM(F63:H63)","v":2431000000},null,{"$f":"K61+K62","v":0},0,0,0,215455785.7319999,153532650.34406239,185055300.81337491,280745417.77199996,1209082373.3407493,{"$f":"SUM(K63:S63)","v":2043871528.0021863},{"$f":"ROW()","v":63},{"$f":"V61+V62","v":36.421140350000002},26.01510025,{"$f":"X61+X62","v":31.218120300000002},33.819630324999999,36.421140350000002,10.986680762966753,31.218120300000002,31.218120300000002,{"$f":"SUM(V63:AC63)","v":237.31805293796677}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"Year 06","Gross Revenues",null,null,{"$f":"ROUND(T65,-6)","v":2054000000},{"$f":"ROUND(AD65,-6)","v":0},{"$f":"IF((MID($B65,6,2))^2<=400,H61*(1+$G$41),H61*(1+$H$41))","v":387000000},{"$f":"SUM(F65:H65)","v":2441000000},null,{"$f":"IF((MID($B65,6,2))^2<=400,K61*(1+$G$39),K61*(1+$H$39))","v":0},0,0,0,216533064.66065988,154300313.5957827,185980577.31744176,282149144.86085993,1215127785.2074528,{"$f":"SUM(K65:S65)","v":2054090885.6421969},{"$f":"ROW()","v":65},{"$f":"IF((MID($B65,6,2))^2<=400,V61*(1+$G$40),V61*(1+$H$40))","v":36.785351753500002},26.275251252499999,{"$f":"IF((MID($B65,6,2))^2<=400,X61*(1+$G$40),X61*(1+$H$40))","v":31.530301503000004},34.15782662825,36.785351753500002,28.902776377750005,31.530301503000004,31.530301503000004,{"$f":"SUM(V65:AC65)","v":257.49746227450004}]
[null,{"$f":"B65","v":"Year 06"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T66,-6)","v":0},{"$f":"ROUND(AD66,-6)","v":0},{"$f":"IF((MID($B66,6,2))^2<=400,H62*(1+$G$41),H62*(1+$H$41))","v":0},{"$f":"SUM(F66:H66)","v":0},null,{"$f":"IF((MID($B66,6,2))^2<=400,K62*(1+$G$39),K62*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K66:S66)","v":0},{"$f":"ROW()","v":66},0,0,{"$f":"IF((MID($B66,6,2))^2<=400,X62*(1+$G$40),X62*(1+$H$40))","v":0},0,0,-17.806228807153584,0,0,{"$f":"SUM(V66:AC66)","v":-17.806228807153584}]
[null,{"$f":"B66","v":"Year 06"},"Net Revenue Change",null,null,{"$f":"F65+F66","v":2054000000},{"$f":"G65+G66","v":0},{"$f":"H65+H66","v":387000000},{"$f":"SUM(F67:H67)","v":2441000000},null,{"$f":"K65+K66","v":0},0,0,0,216533064.66065988,154300313.5957827,185980577.31744176,282149144.86085993,1215127785.2074528,{"$f":"SUM(K67:S67)","v":2054090885.6421969},{"$f":"ROW()","v":67},{"$f":"V65+V66","v":36.785351753500002},26.275251252499999,{"$f":"X65+X66","v":31.530301503000004},34.15782662825,36.785351753500002,11.096547570596421,31.530301503000004,31.530301503000004,{"$f":"SUM(V67:AC67)","v":239.69123346734645}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"Year 07","Gross Revenues",null,null,{"$f":"ROUND(T69,-6)","v":2064000000},{"$f":"ROUND(AD69,-6)","v":0},{"$f":"IF((MID($B69,6,2))^2<=400,H65*(1+$G$41),H65*(1+$H$41))","v":387000000},{"$f":"SUM(F69:H69)","v":2451000000},null,{"$f":"IF((MID($B69,6,2))^2<=400,K65*(1+$G$39),K65*(1+$H$39))","v":0},0,0,0,217615729.98396316,155071815.16376159,186910480.20402896,283559890.58516419,1221203424.1334898,{"$f":"SUM(K69:S69)","v":2064361340.0704079},{"$f":"ROW()","v":69},{"$f":"IF((MID($B69,6,2))^2<=400,V65*(1+$G$40),V65*(1+$H$40))","v":37.153205271035006},26.538003765025,{"$f":"IF((MID($B69,6,2))^2<=400,X65*(1+$G$40),X65*(1+$H$40))","v":31.845604518030004},34.499404894532503,37.153205271035006,29.191804141527506,31.845604518030004,31.845604518030004,{"$f":"SUM(V69:AC69)","v":260.07243689724504}]
[null,{"$f":"B69","v":"Year 07"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T70,-6)","v":0},{"$f":"ROUND(AD70,-6)","v":0},{"$f":"IF((MID($B70,6,2))^2<=400,H66*(1+$G$41),H66*(1+$H$41))","v":0},{"$f":"SUM(F70:H70)","v":0},null,{"$f":"IF((MID($B70,6,2))^2<=400,K66*(1+$G$39),K66*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K70:S70)","v":0},{"$f":"ROW()","v":70},0,0,{"$f":"IF((MID($B70,6,2))^2<=400,X66*(1+$G$40),X66*(1+$H$40))","v":0},0,0,-17.984291095225121,0,0,{"$f":"SUM(V70:AC70)","v":-17.984291095225121}]
[null,{"$f":"B70","v":"Year 07"},"Net Revenue Change",null,null,{"$f":"F69+F70","v":2064000000},{"$f":"G69+G70","v":0},{"$f":"H69+H70","v":387000000},{"$f":"SUM(F71:H71)","v":2451000000},null,{"$f":"K69+K70","v":0},0,0,0,217615729.98396316,155071815.16376159,186910480.20402896,283559890.58516419,1221203424.1334898,{"$f":"SUM(K71:S71)","v":2064361340.0704079},{"$f":"ROW()","v":71},{"$f":"V69+V70","v":37.153205271035006},26.538003765025,{"$f":"X69+X70","v":31.845604518030004},34.499404894532503,37.153205271035006,11.207513046302385,31.845604518030004,31.845604518030004,{"$f":"SUM(V71:AC71)","v":242.08814580201988}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Year 08","Gross Revenues",null,null,{"$f":"ROUND(T73,-6)","v":2075000000},{"$f":"ROUND(AD73,-6)","v":0},{"$f":"IF((MID($B73,6,2))^2<=400,H69*(1+$G$41),H69*(1+$H$41))","v":387000000},{"$f":"SUM(F73:H73)","v":2462000000},null,{"$f":"IF((MID($B73,6,2))^2<=400,K69*(1+$G$39),K69*(1+$H$39))","v":0},0,0,0,218703808.63388294,155847174.23958036,187845032.6050491,284977690.03808999,1227309441.2541571,{"$f":"SUM(K73:S73)","v":2074683146.7707596},{"$f":"ROW()","v":73},{"$f":"IF((MID($B73,6,2))^2<=400,V69*(1+$G$40),V69*(1+$H$40))","v":37.524737323745356},26.803383802675249,{"$f":"IF((MID($B73,6,2))^2<=400,X69*(1+$G$40),X69*(1+$H$40))","v":32.164060563210306},34.844398943477827,37.524737323745356,29.483722182942781,32.164060563210306,32.164060563210306,{"$f":"SUM(V73:AC73)","v":262.67316126621745}]
[null,{"$f":"B73","v":"Year 08"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T74,-6)","v":0},{"$f":"ROUND(AD74,-6)","v":0},{"$f":"IF((MID($B74,6,2))^2<=400,H70*(1+$G$41),H70*(1+$H$41))","v":0},{"$f":"SUM(F74:H74)","v":0},null,{"$f":"IF((MID($B74,6,2))^2<=400,K70*(1+$G$39),K70*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K74:S74)","v":0},{"$f":"ROW()","v":74},0,0,{"$f":"IF((MID($B74,6,2))^2<=400,X70*(1+$G$40),X70*(1+$H$40))","v":0},0,0,-18.164134006177374,0,0,{"$f":"SUM(V74:AC74)","v":-18.164134006177374}]
[null,{"$f":"B74","v":"Year 08"},"Net Revenue Change",null,null,{"$f":"F73+F74","v":2075000000},{"$f":"G73+G74","v":0},{"$f":"H73+H74","v":387000000},{"$f":"SUM(F75:H75)","v":2462000000},null,{"$f":"K73+K74","v":0},0,0,0,218703808.63388294,155847174.23958036,187845032.6050491,284977690.03808999,1227309441.2541571,{"$f":"SUM(K75:S75)","v":2074683146.7707596},{"$f":"ROW()","v":75},{"$f":"V73+V74","v":37.524737323745356},26.803383802675249,{"$f":"X73+X74","v":32.164060563210306},34.844398943477827,37.524737323745356,11.319588176765407,32.164060563210306,32.164060563210306,{"$f":"SUM(V75:AC75)","v":244.50902726004011}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Year 09","Gross Revenues",null,null,{"$f":"ROUND(T77,-6)","v":2085000000},{"$f":"ROUND(AD77,-6)","v":0},{"$f":"IF((MID($B77,6,2))^2<=400,H73*(1+$G$41),H73*(1+$H$41))","v":387000000},{"$f":"SUM(F77:H77)","v":2472000000},null,{"$f":"IF((MID($B77,6,2))^2<=400,K73*(1+$G$39),K73*(1+$H$39))","v":0},0,0,0,219797327.67705232,156626410.11077824,188784257.76807433,286402578.48828042,1233445988.4604278,{"$f":"SUM(K77:S77)","v":2085056562.5046129},{"$f":"ROW()","v":77},{"$f":"IF((MID($B77,6,2))^2<=400,V73*(1+$G$40),V73*(1+$H$40))","v":37.899984696982813},27.071417640702002,{"$f":"IF((MID($B77,6,2))^2<=400,X73*(1+$G$40),X73*(1+$H$40))","v":32.485701168842411},35.192842932912605,37.899984696982813,29.77855940477221,32.485701168842411,32.485701168842411,{"$f":"SUM(V77:AC77)","v":265.29989287887969}]
[null,{"$f":"B77","v":"Year 09"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T78,-6)","v":0},{"$f":"ROUND(AD78,-6)","v":0},{"$f":"IF((MID($B78,6,2))^2<=400,H74*(1+$G$41),H74*(1+$H$41))","v":0},{"$f":"SUM(F78:H78)","v":0},null,{"$f":"IF((MID($B78,6,2))^2<=400,K74*(1+$G$39),K74*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K78:S78)","v":0},{"$f":"ROW()","v":78},0,0,{"$f":"IF((MID($B78,6,2))^2<=400,X74*(1+$G$40),X74*(1+$H$40))","v":0},0,0,-18.345775346239147,0,0,{"$f":"SUM(V78:AC78)","v":-18.345775346239147}]
[null,{"$f":"B78","v":"Year 09"},"Net Revenue Change",null,null,{"$f":"F77+F78","v":2085000000},{"$f":"G77+G78","v":0},{"$f":"H77+H78","v":387000000},{"$f":"SUM(F79:H79)","v":2472000000},null,{"$f":"K77+K78","v":0},0,0,0,219797327.67705232,156626410.11077824,188784257.76807433,286402578.48828042,1233445988.4604278,{"$f":"SUM(K79:S79)","v":2085056562.5046129},{"$f":"ROW()","v":79},{"$f":"V77+V78","v":37.899984696982813},27.071417640702002,{"$f":"X77+X78","v":32.485701168842411},35.192842932912605,37.899984696982813,11.432784058533063,32.485701168842411,32.485701168842411,{"$f":"SUM(V79:AC79)","v":246.95411753264054}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Year 10","Gross Revenues",null,null,{"$f":"ROUND(T81,-6)","v":2095000000},{"$f":"ROUND(AD81,-6)","v":0},{"$f":"IF((MID($B81,6,2))^2<=400,H77*(1+$G$41),H77*(1+$H$41))","v":387000000},{"$f":"SUM(F81:H81)","v":2482000000},null,{"$f":"IF((MID($B81,6,2))^2<=400,K77*(1+$G$39),K77*(1+$H$39))","v":0},0,0,0,220896314.31543756,157409542.16133213,189728179.05691469,287834591.38072181,1239613218.4027297,{"$f":"SUM(K81:S81)","v":2095481845.3171358},{"$f":"ROW()","v":81},{"$f":"IF((MID($B81,6,2))^2<=400,V77*(1+$G$40),V77*(1+$H$40))","v":38.278984543952639},27.342131817109021,{"$f":"IF((MID($B81,6,2))^2<=400,X77*(1+$G$40),X77*(1+$H$40))","v":32.810558180530833},35.544771362241733,38.278984543952639,30.076344998819934,32.810558180530833,32.810558180530833,{"$f":"SUM(V81:AC81)","v":267.95289180766849}]
[null,{"$f":"B81","v":"Year 10"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T82,-6)","v":0},{"$f":"ROUND(AD82,-6)","v":0},{"$f":"IF((MID($B82,6,2))^2<=400,H78*(1+$G$41),H78*(1+$H$41))","v":0},{"$f":"SUM(F82:H82)","v":0},null,{"$f":"IF((MID($B82,6,2))^2<=400,K78*(1+$G$39),K78*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K82:S82)","v":0},{"$f":"ROW()","v":82},0,0,{"$f":"IF((MID($B82,6,2))^2<=400,X78*(1+$G$40),X78*(1+$H$40))","v":0},0,0,-18.529233099701539,0,0,{"$f":"SUM(V82:AC82)","v":-18.529233099701539}]
[null,{"$f":"B82","v":"Year 10"},"Net Revenue Change",null,null,{"$f":"F81+F82","v":2095000000},{"$f":"G81+G82","v":0},{"$f":"H81+H82","v":387000000},{"$f":"SUM(F83:H83)","v":2482000000},null,{"$f":"K81+K82","v":0},0,0,0,220896314.31543756,157409542.16133213,189728179.05691469,287834591.38072181,1239613218.4027297,{"$f":"SUM(K83:S83)","v":2095481845.3171358},{"$f":"ROW()","v":83},{"$f":"V81+V82","v":38.278984543952639},27.342131817109021,{"$f":"X81+X82","v":32.810558180530833},35.544771362241733,38.278984543952639,11.547111899118395,32.810558180530833,32.810558180530833,{"$f":"SUM(V83:AC83)","v":249.42365870796698}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Year 11","Gross Revenues",null,null,{"$f":"ROUND(T85,-6)","v":2106000000},{"$f":"ROUND(AD85,-6)","v":0},{"$f":"IF((MID($B85,6,2))^2<=400,H81*(1+$G$41),H81*(1+$H$41))","v":387000000},{"$f":"SUM(F85:H85)","v":2493000000},null,{"$f":"IF((MID($B85,6,2))^2<=400,K81*(1+$G$39),K81*(1+$H$39))","v":0},0,0,0,222000795.88701472,158196589.87213877,190676819.95219925,289273764.33762538,1245811284.4947433,{"$f":"SUM(K85:S85)","v":2105959254.5437214},{"$f":"ROW()","v":85},{"$f":"IF((MID($B85,6,2))^2<=400,V81*(1+$G$40),V81*(1+$H$40))","v":38.661774389392164},27.615553135280113,{"$f":"IF((MID($B85,6,2))^2<=400,X81*(1+$G$40),X81*(1+$H$40))","v":33.138663762336144},35.90021907586415,38.661774389392164,30.377108448808134,33.138663762336144,33.138663762336144,{"$f":"SUM(V85:AC85)","v":270.63242072574513}]
[null,{"$f":"B85","v":"Year 11"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T86,-6)","v":0},{"$f":"ROUND(AD86,-6)","v":0},{"$f":"IF((MID($B86,6,2))^2<=400,H82*(1+$G$41),H82*(1+$H$41))","v":0},{"$f":"SUM(F86:H86)","v":0},null,{"$f":"IF((MID($B86,6,2))^2<=400,K82*(1+$G$39),K82*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K86:S86)","v":0},{"$f":"ROW()","v":86},0,0,{"$f":"IF((MID($B86,6,2))^2<=400,X82*(1+$G$40),X82*(1+$H$40))","v":0},0,0,-18.714525430698554,0,0,{"$f":"SUM(V86:AC86)","v":-18.714525430698554}]
[null,{"$f":"B86","v":"Year 11"},"Net Revenue Change",null,null,{"$f":"F85+F86","v":2106000000},{"$f":"G85+G86","v":0},{"$f":"H85+H86","v":387000000},{"$f":"SUM(F87:H87)","v":2493000000},null,{"$f":"K85+K86","v":0},0,0,0,222000795.88701472,158196589.87213877,190676819.95219925,289273764.33762538,1245811284.4947433,{"$f":"SUM(K87:S87)","v":2105959254.5437214},{"$f":"ROW()","v":87},{"$f":"V85+V86","v":38.661774389392164},27.615553135280113,{"$f":"X85+X86","v":33.138663762336144},35.90021907586415,38.661774389392164,11.662583018109579,33.138663762336144,33.138663762336144,{"$f":"SUM(V87:AC87)","v":251.91789529504658}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Year 12","Gross Revenues",null,null,{"$f":"ROUND(T89,-6)","v":2116000000},{"$f":"ROUND(AD89,-6)","v":0},{"$f":"IF((MID($B89,6,2))^2<=400,H85*(1+$G$41),H85*(1+$H$41))","v":387000000},{"$f":"SUM(F89:H89)","v":2503000000},null,{"$f":"IF((MID($B89,6,2))^2<=400,K85*(1+$G$39),K85*(1+$H$39))","v":0},0,0,0,223110799.86644977,158987572.82149944,191630204.05196023,290720133.1593135,1252040340.917217,{"$f":"SUM(K89:S89)","v":2116489050.8164399},{"$f":"ROW()","v":89},{"$f":"IF((MID($B89,6,2))^2<=400,V85*(1+$G$40),V85*(1+$H$40))","v":39.048392133286086},27.891708666632915,{"$f":"IF((MID($B89,6,2))^2<=400,X85*(1+$G$40),X85*(1+$H$40))","v":33.470050399959504},36.259221266622795,39.048392133286086,30.680879533296213,33.470050399959504,33.470050399959504,{"$f":"SUM(V89:AC89)","v":273.3387449330026}]
[null,{"$f":"B89","v":"Year 12"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T90,-6)","v":0},{"$f":"ROUND(AD90,-6)","v":0},{"$f":"IF((MID($B90,6,2))^2<=400,H86*(1+$G$41),H86*(1+$H$41))","v":0},{"$f":"SUM(F90:H90)","v":0},null,{"$f":"IF((MID($B90,6,2))^2<=400,K86*(1+$G$39),K86*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K90:S90)","v":0},{"$f":"ROW()","v":90},0,0,{"$f":"IF((MID($B90,6,2))^2<=400,X86*(1+$G$40),X86*(1+$H$40))","v":0},0,0,-18.901670685005541,0,0,{"$f":"SUM(V90:AC90)","v":-18.901670685005541}]
[null,{"$f":"B90","v":"Year 12"},"Net Revenue Change",null,null,{"$f":"F89+F90","v":2116000000},{"$f":"G89+G90","v":0},{"$f":"H89+H90","v":387000000},{"$f":"SUM(F91:H91)","v":2503000000},null,{"$f":"K89+K90","v":0},0,0,0,223110799.86644977,158987572.82149944,191630204.05196023,290720133.1593135,1252040340.917217,{"$f":"SUM(K91:S91)","v":2116489050.8164399},{"$f":"ROW()","v":91},{"$f":"V89+V90","v":39.048392133286086},27.891708666632915,{"$f":"X89+X90","v":33.470050399959504},36.259221266622795,39.048392133286086,11.779208848290672,33.470050399959504,33.470050399959504,{"$f":"SUM(V91:AC91)","v":254.43707424799709}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Year 13","Gross Revenues",null,null,{"$f":"ROUND(T93,-6)","v":2127000000},{"$f":"ROUND(AD93,-6)","v":0},{"$f":"IF((MID($B93,6,2))^2<=400,H89*(1+$G$41),H89*(1+$H$41))","v":387000000},{"$f":"SUM(F93:H93)","v":2514000000},null,{"$f":"IF((MID($B93,6,2))^2<=400,K89*(1+$G$39),K89*(1+$H$39))","v":0},0,0,0,224226353.86578199,159782510.68560693,192588355.07222,292173733.82511002,1258300542.621803,{"$f":"SUM(K93:S93)","v":2127071496.0705221},{"$f":"ROW()","v":93},{"$f":"IF((MID($B93,6,2))^2<=400,V89*(1+$G$40),V89*(1+$H$40))","v":39.438876054618945},28.170625753299245,{"$f":"IF((MID($B93,6,2))^2<=400,X89*(1+$G$40),X89*(1+$H$40))","v":33.804750903959096},36.621813479289024,39.438876054618945,30.987688328629176,33.804750903959096,33.804750903959096,{"$f":"SUM(V93:AC93)","v":276.07213238233265}]
[null,{"$f":"B93","v":"Year 13"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T94,-6)","v":0},{"$f":"ROUND(AD94,-6)","v":0},{"$f":"IF((MID($B94,6,2))^2<=400,H90*(1+$G$41),H90*(1+$H$41))","v":0},{"$f":"SUM(F94:H94)","v":0},null,{"$f":"IF((MID($B94,6,2))^2<=400,K90*(1+$G$39),K90*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K94:S94)","v":0},{"$f":"ROW()","v":94},0,0,{"$f":"IF((MID($B94,6,2))^2<=400,X90*(1+$G$40),X90*(1+$H$40))","v":0},0,0,-19.090687391855596,0,0,{"$f":"SUM(V94:AC94)","v":-19.090687391855596}]
[null,{"$f":"B94","v":"Year 13"},"Net Revenue Change",null,null,{"$f":"F93+F94","v":2127000000},{"$f":"G93+G94","v":0},{"$f":"H93+H94","v":387000000},{"$f":"SUM(F95:H95)","v":2514000000},null,{"$f":"K93+K94","v":0},0,0,0,224226353.86578199,159782510.68560693,192588355.07222,292173733.82511002,1258300542.621803,{"$f":"SUM(K95:S95)","v":2127071496.0705221},{"$f":"ROW()","v":95},{"$f":"V93+V94","v":39.438876054618945},28.170625753299245,{"$f":"X93+X94","v":33.804750903959096},36.621813479289024,39.438876054618945,11.89700093677358,33.804750903959096,33.804750903959096,{"$f":"SUM(V95:AC95)","v":256.98144499047703}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Year 14","Gross Revenues",null,null,{"$f":"ROUND(T97,-6)","v":2138000000},{"$f":"ROUND(AD97,-6)","v":0},{"$f":"IF((MID($B97,6,2))^2<=400,H93*(1+$G$41),H93*(1+$H$41))","v":387000000},{"$f":"SUM(F97:H97)","v":2525000000},null,{"$f":"IF((MID($B97,6,2))^2<=400,K93*(1+$G$39),K93*(1+$H$39))","v":0},0,0,0,225347485.63511088,160581423.23903495,193551296.84758109,293634602.49423552,1264592045.3349118,{"$f":"SUM(K97:S97)","v":2137706853.5508742},{"$f":"ROW()","v":97},{"$f":"IF((MID($B97,6,2))^2<=400,V93*(1+$G$40),V93*(1+$H$40))","v":39.833264815165137},28.452332010832237,{"$f":"IF((MID($B97,6,2))^2<=400,X93*(1+$G$40),X93*(1+$H$40))","v":34.142798412998687},36.988031614081912,39.833264815165137,31.297565211915469,34.142798412998687,34.142798412998687,{"$f":"SUM(V97:AC97)","v":278.83285370615596}]
[null,{"$f":"B97","v":"Year 14"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T98,-6)","v":0},{"$f":"ROUND(AD98,-6)","v":0},{"$f":"IF((MID($B98,6,2))^2<=400,H94*(1+$G$41),H94*(1+$H$41))","v":0},{"$f":"SUM(F98:H98)","v":0},null,{"$f":"IF((MID($B98,6,2))^2<=400,K94*(1+$G$39),K94*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K98:S98)","v":0},{"$f":"ROW()","v":98},0,0,{"$f":"IF((MID($B98,6,2))^2<=400,X94*(1+$G$40),X94*(1+$H$40))","v":0},0,0,-19.281594265774153,0,0,{"$f":"SUM(V98:AC98)","v":-19.281594265774153}]
[null,{"$f":"B98","v":"Year 14"},"Net Revenue Change",null,null,{"$f":"F97+F98","v":2138000000},{"$f":"G97+G98","v":0},{"$f":"H97+H98","v":387000000},{"$f":"SUM(F99:H99)","v":2525000000},null,{"$f":"K97+K98","v":0},0,0,0,225347485.63511088,160581423.23903495,193551296.84758109,293634602.49423552,1264592045.3349118,{"$f":"SUM(K99:S99)","v":2137706853.5508742},{"$f":"ROW()","v":99},{"$f":"V97+V98","v":39.833264815165137},28.452332010832237,{"$f":"X97+X98","v":34.142798412998687},36.988031614081912,39.833264815165137,12.015970946141316,34.142798412998687,34.142798412998687,{"$f":"SUM(V99:AC99)","v":259.55125944038178}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Year 15","Gross Revenues",null,null,{"$f":"ROUND(T101,-6)","v":2148000000},{"$f":"ROUND(AD101,-6)","v":0},{"$f":"IF((MID($B101,6,2))^2<=400,H97*(1+$G$41),H97*(1+$H$41))","v":387000000},{"$f":"SUM(F101:H101)","v":2535000000},null,{"$f":"IF((MID($B101,6,2))^2<=400,K97*(1+$G$39),K97*(1+$H$39))","v":0},0,0,0,226474223.06328642,161384330.35523012,194519053.33181897,295102775.50670666,1270915005.5615861,{"$f":"SUM(K101:S101)","v":2148395387.8186283},{"$f":"ROW()","v":101},{"$f":"IF((MID($B101,6,2))^2<=400,V97*(1+$G$40),V97*(1+$H$40))","v":40.231597463316788},28.736855330940561,{"$f":"IF((MID($B101,6,2))^2<=400,X97*(1+$G$40),X97*(1+$H$40))","v":34.484226397128673},37.357911930222734,40.231597463316788,31.610540864034625,34.484226397128673,34.484226397128673,{"$f":"SUM(V101:AC101)","v":281.6211822432175}]
[null,{"$f":"B101","v":"Year 15"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T102,-6)","v":0},{"$f":"ROUND(AD102,-6)","v":0},{"$f":"IF((MID($B102,6,2))^2<=400,H98*(1+$G$41),H98*(1+$H$41))","v":0},{"$f":"SUM(F102:H102)","v":0},null,{"$f":"IF((MID($B102,6,2))^2<=400,K98*(1+$G$39),K98*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K102:S102)","v":0},{"$f":"ROW()","v":102},0,0,{"$f":"IF((MID($B102,6,2))^2<=400,X98*(1+$G$40),X98*(1+$H$40))","v":0},0,0,-19.474410208431895,0,0,{"$f":"SUM(V102:AC102)","v":-19.474410208431895}]
[null,{"$f":"B102","v":"Year 15"},"Net Revenue Change",null,null,{"$f":"F101+F102","v":2148000000},{"$f":"G101+G102","v":0},{"$f":"H101+H102","v":387000000},{"$f":"SUM(F103:H103)","v":2535000000},null,{"$f":"K101+K102","v":0},0,0,0,226474223.06328642,161384330.35523012,194519053.33181897,295102775.50670666,1270915005.5615861,{"$f":"SUM(K103:S103)","v":2148395387.8186283},{"$f":"ROW()","v":103},{"$f":"V101+V102","v":40.231597463316788},28.736855330940561,{"$f":"X101+X102","v":34.484226397128673},37.357911930222734,40.231597463316788,12.136130655602731,34.484226397128673,34.484226397128673,{"$f":"SUM(V103:AC103)","v":262.14677203478561}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Year 16","Gross Revenues",null,null,{"$f":"ROUND(T105,-6)","v":2159000000},{"$f":"ROUND(AD105,-6)","v":0},{"$f":"IF((MID($B105,6,2))^2<=400,H101*(1+$G$41),H101*(1+$H$41))","v":387000000},{"$f":"SUM(F105:H105)","v":2546000000},null,{"$f":"IF((MID($B105,6,2))^2<=400,K101*(1+$G$39),K101*(1+$H$39))","v":0},0,0,0,227606594.17860284,162191252.00700626,195491648.59847805,296578289.38424015,1277269580.5893939,{"$f":"SUM(K105:S105)","v":2159137364.7577209},{"$f":"ROW()","v":105},{"$f":"IF((MID($B105,6,2))^2<=400,V101*(1+$G$40),V101*(1+$H$40))","v":40.633913437949957},29.024223884249967,{"$f":"IF((MID($B105,6,2))^2<=400,X101*(1+$G$40),X101*(1+$H$40))","v":34.82906866109996},37.731491049524962,40.633913437949957,31.926646272674972,34.82906866109996,34.82906866109996,{"$f":"SUM(V105:AC105)","v":284.4373940656497}]
[null,{"$f":"B105","v":"Year 16"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T106,-6)","v":0},{"$f":"ROUND(AD106,-6)","v":0},{"$f":"IF((MID($B106,6,2))^2<=400,H102*(1+$G$41),H102*(1+$H$41))","v":0},{"$f":"SUM(F106:H106)","v":0},null,{"$f":"IF((MID($B106,6,2))^2<=400,K102*(1+$G$39),K102*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K106:S106)","v":0},{"$f":"ROW()","v":106},0,0,{"$f":"IF((MID($B106,6,2))^2<=400,X102*(1+$G$40),X102*(1+$H$40))","v":0},0,0,-19.669154310516213,0,0,{"$f":"SUM(V106:AC106)","v":-19.669154310516213}]
[null,{"$f":"B106","v":"Year 16"},"Net Revenue Change",null,null,{"$f":"F105+F106","v":2159000000},{"$f":"G105+G106","v":0},{"$f":"H105+H106","v":387000000},{"$f":"SUM(F107:H107)","v":2546000000},null,{"$f":"K105+K106","v":0},0,0,0,227606594.17860284,162191252.00700626,195491648.59847805,296578289.38424015,1277269580.5893939,{"$f":"SUM(K107:S107)","v":2159137364.7577209},{"$f":"ROW()","v":107},{"$f":"V105+V106","v":40.633913437949957},29.024223884249967,{"$f":"X105+X106","v":34.82906866109996},37.731491049524962,40.633913437949957,12.25749196215876,34.82906866109996,34.82906866109996,{"$f":"SUM(V107:AC107)","v":264.76823975513344}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Year 17","Gross Revenues",null,null,{"$f":"ROUND(T109,-6)","v":2170000000},{"$f":"ROUND(AD109,-6)","v":0},{"$f":"IF((MID($B109,6,2))^2<=400,H105*(1+$G$41),H105*(1+$H$41))","v":387000000},{"$f":"SUM(F109:H109)","v":2557000000},null,{"$f":"IF((MID($B109,6,2))^2<=400,K105*(1+$G$39),K105*(1+$H$39))","v":0},0,0,0,228744627.14949584,163002208.26704127,196469106.84147042,298061180.83116132,1283655928.4923408,{"$f":"SUM(K109:S109)","v":2169933051.5815096},{"$f":"ROW()","v":109},{"$f":"IF((MID($B109,6,2))^2<=400,V105*(1+$G$40),V105*(1+$H$40))","v":41.040252572329457},29.314466123092465,{"$f":"IF((MID($B109,6,2))^2<=400,X105*(1+$G$40),X105*(1+$H$40))","v":35.177359347710961},38.108805960020213,41.040252572329457,32.245912735401724,35.177359347710961,35.177359347710961,{"$f":"SUM(V109:AC109)","v":287.28176800630621}]
[null,{"$f":"B109","v":"Year 17"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T110,-6)","v":0},{"$f":"ROUND(AD110,-6)","v":0},{"$f":"IF((MID($B110,6,2))^2<=400,H106*(1+$G$41),H106*(1+$H$41))","v":0},{"$f":"SUM(F110:H110)","v":0},null,{"$f":"IF((MID($B110,6,2))^2<=400,K106*(1+$G$39),K106*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K110:S110)","v":0},{"$f":"ROW()","v":110},0,0,{"$f":"IF((MID($B110,6,2))^2<=400,X106*(1+$G$40),X106*(1+$H$40))","v":0},0,0,-19.865845853621376,0,0,{"$f":"SUM(V110:AC110)","v":-19.865845853621376}]
[null,{"$f":"B110","v":"Year 17"},"Net Revenue Change",null,null,{"$f":"F109+F110","v":2170000000},{"$f":"G109+G110","v":0},{"$f":"H109+H110","v":387000000},{"$f":"SUM(F111:H111)","v":2557000000},null,{"$f":"K109+K110","v":0},0,0,0,228744627.14949584,163002208.26704127,196469106.84147042,298061180.83116132,1283655928.4923408,{"$f":"SUM(K111:S111)","v":2169933051.5815096},{"$f":"ROW()","v":111},{"$f":"V109+V110","v":41.040252572329457},29.314466123092465,{"$f":"X109+X110","v":35.177359347710961},38.108805960020213,41.040252572329457,12.380066881780348,35.177359347710961,35.177359347710961,{"$f":"SUM(V111:AC111)","v":267.41592215268486}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Year 18","Gross Revenues",null,null,{"$f":"ROUND(T113,-6)","v":2181000000},{"$f":"ROUND(AD113,-6)","v":0},{"$f":"IF((MID($B113,6,2))^2<=400,H109*(1+$G$41),H109*(1+$H$41))","v":387000000},{"$f":"SUM(F113:H113)","v":2568000000},null,{"$f":"IF((MID($B113,6,2))^2<=400,K109*(1+$G$39),K109*(1+$H$39))","v":0},0,0,0,229888350.2852433,163817219.30837646,197451452.37567776,299551486.73531711,1290074208.1348023,{"$f":"SUM(K113:S113)","v":2180782716.839417},{"$f":"ROW()","v":113},{"$f":"IF((MID($B113,6,2))^2<=400,V109*(1+$G$40),V109*(1+$H$40))","v":41.450655098052749},29.607610784323391,{"$f":"IF((MID($B113,6,2))^2<=400,X109*(1+$G$40),X109*(1+$H$40))","v":35.529132941188074},38.489894019620415,41.450655098052749,32.56837186275574,35.529132941188074,35.529132941188074,{"$f":"SUM(V113:AC113)","v":290.15458568636922}]
[null,{"$f":"B113","v":"Year 18"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T114,-6)","v":0},{"$f":"ROUND(AD114,-6)","v":0},{"$f":"IF((MID($B114,6,2))^2<=400,H110*(1+$G$41),H110*(1+$H$41))","v":0},{"$f":"SUM(F114:H114)","v":0},null,{"$f":"IF((MID($B114,6,2))^2<=400,K110*(1+$G$39),K110*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K114:S114)","v":0},{"$f":"ROW()","v":114},0,0,{"$f":"IF((MID($B114,6,2))^2<=400,X110*(1+$G$40),X110*(1+$H$40))","v":0},0,0,-20.064504312157592,0,0,{"$f":"SUM(V114:AC114)","v":-20.064504312157592}]
[null,{"$f":"B114","v":"Year 18"},"Net Revenue Change",null,null,{"$f":"F113+F114","v":2181000000},{"$f":"G113+G114","v":0},{"$f":"H113+H114","v":387000000},{"$f":"SUM(F115:H115)","v":2568000000},null,{"$f":"K113+K114","v":0},0,0,0,229888350.2852433,163817219.30837646,197451452.37567776,299551486.73531711,1290074208.1348023,{"$f":"SUM(K115:S115)","v":2180782716.839417},{"$f":"ROW()","v":115},{"$f":"V113+V114","v":41.450655098052749},29.607610784323391,{"$f":"X113+X114","v":35.529132941188074},38.489894019620415,41.450655098052749,12.503867550598148,35.529132941188074,35.529132941188074,{"$f":"SUM(V115:AC115)","v":270.09008137421165}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Year 19","Gross Revenues",null,null,{"$f":"ROUND(T117,-6)","v":2192000000},{"$f":"ROUND(AD117,-6)","v":0},{"$f":"IF((MID($B117,6,2))^2<=400,H113*(1+$G$41),H113*(1+$H$41))","v":387000000},{"$f":"SUM(F117:H117)","v":2579000000},null,{"$f":"IF((MID($B117,6,2))^2<=400,K113*(1+$G$39),K113*(1+$H$39))","v":0},0,0,0,231037792.03666949,164636305.40491831,198438709.63755614,301049244.16899365,1296524579.1754763,{"$f":"SUM(K117:S117)","v":2191686630.423614},{"$f":"ROW()","v":117},{"$f":"IF((MID($B117,6,2))^2<=400,V113*(1+$G$40),V113*(1+$H$40))","v":41.865161649033276},29.903686892166625,{"$f":"IF((MID($B117,6,2))^2<=400,X113*(1+$G$40),X113*(1+$H$40))","v":35.884424270599958},38.874792959816617,41.865161649033276,32.894055581383299,35.884424270599958,35.884424270599958,{"$f":"SUM(V117:AC117)","v":293.05613154323294}]
[null,{"$f":"B117","v":"Year 19"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T118,-6)","v":0},{"$f":"ROUND(AD118,-6)","v":0},{"$f":"IF((MID($B118,6,2))^2<=400,H114*(1+$G$41),H114*(1+$H$41))","v":0},{"$f":"SUM(F118:H118)","v":0},null,{"$f":"IF((MID($B118,6,2))^2<=400,K114*(1+$G$39),K114*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K118:S118)","v":0},{"$f":"ROW()","v":118},0,0,{"$f":"IF((MID($B118,6,2))^2<=400,X114*(1+$G$40),X114*(1+$H$40))","v":0},0,0,-20.265149355279167,0,0,{"$f":"SUM(V118:AC118)","v":-20.265149355279167}]
[null,{"$f":"B118","v":"Year 19"},"Net Revenue Change",null,null,{"$f":"F117+F118","v":2192000000},{"$f":"G117+G118","v":0},{"$f":"H117+H118","v":387000000},{"$f":"SUM(F119:H119)","v":2579000000},null,{"$f":"K117+K118","v":0},0,0,0,231037792.03666949,164636305.40491831,198438709.63755614,301049244.16899365,1296524579.1754763,{"$f":"SUM(K119:S119)","v":2191686630.423614},{"$f":"ROW()","v":119},{"$f":"V117+V118","v":41.865161649033276},29.903686892166625,{"$f":"X117+X118","v":35.884424270599958},38.874792959816617,41.865161649033276,12.628906226104132,35.884424270599958,35.884424270599958,{"$f":"SUM(V119:AC119)","v":272.79098218795377}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":120}]
[null,"Year 20","Gross Revenues",null,null,{"$f":"ROUND(T121,-6)","v":2203000000},{"$f":"ROUND(AD121,-6)","v":0},{"$f":"IF((MID($B121,6,2))^2<=400,H117*(1+$G$41),H117*(1+$H$41))","v":387000000},{"$f":"SUM(F121:H121)","v":2590000000},null,{"$f":"IF((MID($B121,6,2))^2<=400,K117*(1+$G$39),K117*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K121:S121)","v":2202645063.5757318},{"$f":"ROW()","v":121},{"$f":"IF((MID($B121,6,2))^2<=400,V117*(1+$G$40),V117*(1+$H$40))","v":42.283813265523612},30.202723761088293,{"$f":"IF((MID($B121,6,2))^2<=400,X117*(1+$G$40),X117*(1+$H$40))","v":36.243268513305956},39.263540889414784,42.283813265523612,33.222996137197129,36.243268513305956,36.243268513305956,{"$f":"SUM(V121:AC121)","v":295.98669285866526}]
[null,{"$f":"B121","v":"Year 20"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T122,-6)","v":0},{"$f":"ROUND(AD122,-6)","v":0},{"$f":"IF((MID($B122,6,2))^2<=400,H118*(1+$G$41),H118*(1+$H$41))","v":0},{"$f":"SUM(F122:H122)","v":0},null,{"$f":"IF((MID($B122,6,2))^2<=400,K118*(1+$G$39),K118*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K122:S122)","v":0},{"$f":"ROW()","v":122},0,0,{"$f":"IF((MID($B122,6,2))^2<=400,X118*(1+$G$40),X118*(1+$H$40))","v":0},0,0,-20.46780084883196,0,0,{"$f":"SUM(V122:AC122)","v":-20.46780084883196}]
[null,{"$f":"B122","v":"Year 20"},"Net Revenue Change",null,null,{"$f":"F121+F122","v":2203000000},{"$f":"G121+G122","v":0},{"$f":"H121+H122","v":387000000},{"$f":"SUM(F123:H123)","v":2590000000},null,{"$f":"K121+K122","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K123:S123)","v":2202645063.5757318},{"$f":"ROW()","v":123},{"$f":"V121+V122","v":42.283813265523612},30.202723761088293,{"$f":"X121+X122","v":36.243268513305956},39.263540889414784,42.283813265523612,12.755195288365169,36.243268513305956,36.243268513305956,{"$f":"SUM(V123:AC123)","v":275.51889200983334}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Year 21","Gross Revenues",null,null,{"$f":"ROUND(T125,-6)","v":2203000000},{"$f":"ROUND(AD125,-6)","v":0},{"$f":"IF((MID($B125,6,2))^2<=400,H121*(1+$G$41),H121*(1+$H$41))","v":387000000},{"$f":"SUM(F125:H125)","v":2590000000},null,{"$f":"IF((MID($B125,6,2))^2<=400,K121*(1+$G$39),K121*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K125:S125)","v":2202645063.5757318},{"$f":"ROW()","v":125},{"$f":"IF((MID($B125,6,2))^2<=400,V121*(1+$G$40),V121*(1+$H$40))","v":42.706651398178849},30.504750998699176,{"$f":"IF((MID($B125,6,2))^2<=400,X121*(1+$G$40),X121*(1+$H$40))","v":36.605701198439014},39.656176298308935,42.706651398178849,33.555226098569101,36.605701198439014,36.605701198439014,{"$f":"SUM(V125:AC125)","v":298.94655978725194}]
[null,{"$f":"B125","v":"Year 21"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T126,-6)","v":0},{"$f":"ROUND(AD126,-6)","v":0},{"$f":"IF((MID($B126,6,2))^2<=400,H122*(1+$G$41),H122*(1+$H$41))","v":0},{"$f":"SUM(F126:H126)","v":0},null,{"$f":"IF((MID($B126,6,2))^2<=400,K122*(1+$G$39),K122*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K126:S126)","v":0},{"$f":"ROW()","v":126},0,0,{"$f":"IF((MID($B126,6,2))^2<=400,X122*(1+$G$40),X122*(1+$H$40))","v":0},0,0,-20.672478857320279,0,0,{"$f":"SUM(V126:AC126)","v":-20.672478857320279}]
[null,{"$f":"B126","v":"Year 21"},"Net Revenue Change",null,null,{"$f":"F125+F126","v":2203000000},{"$f":"G125+G126","v":0},{"$f":"H125+H126","v":387000000},{"$f":"SUM(F127:H127)","v":2590000000},null,{"$f":"K125+K126","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K127:S127)","v":2202645063.5757318},{"$f":"ROW()","v":127},{"$f":"V125+V126","v":42.706651398178849},30.504750998699176,{"$f":"X125+X126","v":36.605701198439014},39.656176298308935,42.706651398178849,12.882747241248822,36.605701198439014,36.605701198439014,{"$f":"SUM(V127:AC127)","v":278.2740809299317}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Year 22","Gross Revenues",null,null,{"$f":"ROUND(T129,-6)","v":2203000000},{"$f":"ROUND(AD129,-6)","v":0},{"$f":"IF((MID($B129,6,2))^2<=400,H125*(1+$G$41),H125*(1+$H$41))","v":387000000},{"$f":"SUM(F129:H129)","v":2590000000},null,{"$f":"IF((MID($B129,6,2))^2<=400,K125*(1+$G$39),K125*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K129:S129)","v":2202645063.5757318},{"$f":"ROW()","v":129},{"$f":"IF((MID($B129,6,2))^2<=400,V125*(1+$G$40),V125*(1+$H$40))","v":43.133717912160641},30.809798508686168,{"$f":"IF((MID($B129,6,2))^2<=400,X125*(1+$G$40),X125*(1+$H$40))","v":36.971758210423403},40.052738061292025,43.133717912160641,33.890778359554794,36.971758210423403,36.971758210423403,{"$f":"SUM(V129:AC129)","v":301.93602538512448}]
[null,{"$f":"B129","v":"Year 22"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T130,-6)","v":0},{"$f":"ROUND(AD130,-6)","v":0},{"$f":"IF((MID($B130,6,2))^2<=400,H126*(1+$G$41),H126*(1+$H$41))","v":0},{"$f":"SUM(F130:H130)","v":0},null,{"$f":"IF((MID($B130,6,2))^2<=400,K126*(1+$G$39),K126*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K130:S130)","v":0},{"$f":"ROW()","v":130},0,0,{"$f":"IF((MID($B130,6,2))^2<=400,X126*(1+$G$40),X126*(1+$H$40))","v":0},0,0,-20.879203645893483,0,0,{"$f":"SUM(V130:AC130)","v":-20.879203645893483}]
[null,{"$f":"B130","v":"Year 22"},"Net Revenue Change",null,null,{"$f":"F129+F130","v":2203000000},{"$f":"G129+G130","v":0},{"$f":"H129+H130","v":387000000},{"$f":"SUM(F131:H131)","v":2590000000},null,{"$f":"K129+K130","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K131:S131)","v":2202645063.5757318},{"$f":"ROW()","v":131},{"$f":"V129+V130","v":43.133717912160641},30.809798508686168,{"$f":"X129+X130","v":36.971758210423403},40.052738061292025,43.133717912160641,13.011574713661311,36.971758210423403,36.971758210423403,{"$f":"SUM(V131:AC131)","v":281.056821739231}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Year 23","Gross Revenues",null,null,{"$f":"ROUND(T133,-6)","v":2203000000},{"$f":"ROUND(AD133,-6)","v":0},{"$f":"IF((MID($B133,6,2))^2<=400,H129*(1+$G$41),H129*(1+$H$41))","v":387000000},{"$f":"SUM(F133:H133)","v":2590000000},null,{"$f":"IF((MID($B133,6,2))^2<=400,K129*(1+$G$39),K129*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K133:S133)","v":2202645063.5757318},{"$f":"ROW()","v":133},{"$f":"IF((MID($B133,6,2))^2<=400,V129*(1+$G$40),V129*(1+$H$40))","v":43.565055091282247},31.117896493773031,{"$f":"IF((MID($B133,6,2))^2<=400,X129*(1+$G$40),X129*(1+$H$40))","v":37.341475792527639},40.453265441904946,43.565055091282247,34.229686143150339,37.341475792527639,37.341475792527639,{"$f":"SUM(V133:AC133)","v":304.95538563897577}]
[null,{"$f":"B133","v":"Year 23"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T134,-6)","v":0},{"$f":"ROUND(AD134,-6)","v":0},{"$f":"IF((MID($B134,6,2))^2<=400,H130*(1+$G$41),H130*(1+$H$41))","v":0},{"$f":"SUM(F134:H134)","v":0},null,{"$f":"IF((MID($B134,6,2))^2<=400,K130*(1+$G$39),K130*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K134:S134)","v":0},{"$f":"ROW()","v":134},0,0,{"$f":"IF((MID($B134,6,2))^2<=400,X130*(1+$G$40),X130*(1+$H$40))","v":0},0,0,-21.087995682352418,0,0,{"$f":"SUM(V134:AC134)","v":-21.087995682352418}]
[null,{"$f":"B134","v":"Year 23"},"Net Revenue Change",null,null,{"$f":"F133+F134","v":2203000000},{"$f":"G133+G134","v":0},{"$f":"H133+H134","v":387000000},{"$f":"SUM(F135:H135)","v":2590000000},null,{"$f":"K133+K134","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K135:S135)","v":2202645063.5757318},{"$f":"ROW()","v":135},{"$f":"V133+V134","v":43.565055091282247},31.117896493773031,{"$f":"X133+X134","v":37.341475792527639},40.453265441904946,43.565055091282247,13.141690460797921,37.341475792527639,37.341475792527639,{"$f":"SUM(V135:AC135)","v":283.8673899566233}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Year 24","Gross Revenues",null,null,{"$f":"ROUND(T137,-6)","v":2203000000},{"$f":"ROUND(AD137,-6)","v":0},{"$f":"IF((MID($B137,6,2))^2<=400,H133*(1+$G$41),H133*(1+$H$41))","v":387000000},{"$f":"SUM(F137:H137)","v":2590000000},null,{"$f":"IF((MID($B137,6,2))^2<=400,K133*(1+$G$39),K133*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K137:S137)","v":2202645063.5757318},{"$f":"ROW()","v":137},{"$f":"IF((MID($B137,6,2))^2<=400,V133*(1+$G$40),V133*(1+$H$40))","v":44.000705642195072},31.429075458710763,{"$f":"IF((MID($B137,6,2))^2<=400,X133*(1+$G$40),X133*(1+$H$40))","v":37.714890550452914},40.857798096323997,44.000705642195072,34.571983004581845,37.714890550452914,37.714890550452914,{"$f":"SUM(V137:AC137)","v":308.00493949536553}]
[null,{"$f":"B137","v":"Year 24"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T138,-6)","v":0},{"$f":"ROUND(AD138,-6)","v":0},{"$f":"IF((MID($B138,6,2))^2<=400,H134*(1+$G$41),H134*(1+$H$41))","v":0},{"$f":"SUM(F138:H138)","v":0},null,{"$f":"IF((MID($B138,6,2))^2<=400,K134*(1+$G$39),K134*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K138:S138)","v":0},{"$f":"ROW()","v":138},0,0,{"$f":"IF((MID($B138,6,2))^2<=400,X134*(1+$G$40),X134*(1+$H$40))","v":0},0,0,-21.298875639175943,0,0,{"$f":"SUM(V138:AC138)","v":-21.298875639175943}]
[null,{"$f":"B138","v":"Year 24"},"Net Revenue Change",null,null,{"$f":"F137+F138","v":2203000000},{"$f":"G137+G138","v":0},{"$f":"H137+H138","v":387000000},{"$f":"SUM(F139:H139)","v":2590000000},null,{"$f":"K137+K138","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K139:S139)","v":2202645063.5757318},{"$f":"ROW()","v":139},{"$f":"V137+V138","v":44.000705642195072},31.429075458710763,{"$f":"X137+X138","v":37.714890550452914},40.857798096323997,44.000705642195072,13.273107365405902,37.714890550452914,37.714890550452914,{"$f":"SUM(V139:AC139)","v":286.70606385618953}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,"Year 25","Gross Revenues",null,null,{"$f":"ROUND(T141,-6)","v":2203000000},{"$f":"ROUND(AD141,-6)","v":0},{"$f":"IF((MID($B141,6,2))^2<=400,H137*(1+$G$41),H137*(1+$H$41))","v":387000000},{"$f":"SUM(F141:H141)","v":2590000000},null,{"$f":"IF((MID($B141,6,2))^2<=400,K137*(1+$G$39),K137*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K141:S141)","v":2202645063.5757318},{"$f":"ROW()","v":141},{"$f":"IF((MID($B141,6,2))^2<=400,V137*(1+$G$40),V137*(1+$H$40))","v":44.44071269861702},31.743366213297872,{"$f":"IF((MID($B141,6,2))^2<=400,X137*(1+$G$40),X137*(1+$H$40))","v":38.09203945595744},41.266376077287234,44.44071269861702,34.917702834627661,38.09203945595744,38.09203945595744,{"$f":"SUM(V141:AC141)","v":311.0849888903191}]
[null,{"$f":"B141","v":"Year 25"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T142,-6)","v":0},{"$f":"ROUND(AD142,-6)","v":0},{"$f":"IF((MID($B142,6,2))^2<=400,H138*(1+$G$41),H138*(1+$H$41))","v":0},{"$f":"SUM(F142:H142)","v":0},null,{"$f":"IF((MID($B142,6,2))^2<=400,K138*(1+$G$39),K138*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K142:S142)","v":0},{"$f":"ROW()","v":142},0,0,{"$f":"IF((MID($B142,6,2))^2<=400,X138*(1+$G$40),X138*(1+$H$40))","v":0},0,0,-21.511864395567702,0,0,{"$f":"SUM(V142:AC142)","v":-21.511864395567702}]
[null,{"$f":"B142","v":"Year 25"},"Net Revenue Change",null,null,{"$f":"F141+F142","v":2203000000},{"$f":"G141+G142","v":0},{"$f":"H141+H142","v":387000000},{"$f":"SUM(F143:H143)","v":2590000000},null,{"$f":"K141+K142","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K143:S143)","v":2202645063.5757318},{"$f":"ROW()","v":143},{"$f":"V141+V142","v":44.44071269861702},31.743366213297872,{"$f":"X141+X142","v":38.09203945595744},41.266376077287234,44.44071269861702,13.405838439059959,38.09203945595744,38.09203945595744,{"$f":"SUM(V143:AC143)","v":289.57312449475137}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Year 26","Gross Revenues",null,null,{"$f":"ROUND(T145,-6)","v":2203000000},{"$f":"ROUND(AD145,-6)","v":0},{"$f":"IF((MID($B145,6,2))^2<=400,H141*(1+$G$41),H141*(1+$H$41))","v":387000000},{"$f":"SUM(F145:H145)","v":2590000000},null,{"$f":"IF((MID($B145,6,2))^2<=400,K141*(1+$G$39),K141*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K145:S145)","v":2202645063.5757318},{"$f":"ROW()","v":145},{"$f":"IF((MID($B145,6,2))^2<=400,V141*(1+$G$40),V141*(1+$H$40))","v":44.885119825603191},32.060799875430853,{"$f":"IF((MID($B145,6,2))^2<=400,X141*(1+$G$40),X141*(1+$H$40))","v":38.472959850517015},41.679039838060106,44.885119825603191,35.266879862973937,38.472959850517015,38.472959850517015,{"$f":"SUM(V145:AC145)","v":314.1958387792223}]
[null,{"$f":"B145","v":"Year 26"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T146,-6)","v":0},{"$f":"ROUND(AD146,-6)","v":0},{"$f":"IF((MID($B146,6,2))^2<=400,H142*(1+$G$41),H142*(1+$H$41))","v":0},{"$f":"SUM(F146:H146)","v":0},null,{"$f":"IF((MID($B146,6,2))^2<=400,K142*(1+$G$39),K142*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K146:S146)","v":0},{"$f":"ROW()","v":146},0,0,{"$f":"IF((MID($B146,6,2))^2<=400,X142*(1+$G$40),X142*(1+$H$40))","v":0},0,0,-21.726983039523379,0,0,{"$f":"SUM(V146:AC146)","v":-21.726983039523379}]
[null,{"$f":"B146","v":"Year 26"},"Net Revenue Change",null,null,{"$f":"F145+F146","v":2203000000},{"$f":"G145+G146","v":0},{"$f":"H145+H146","v":387000000},{"$f":"SUM(F147:H147)","v":2590000000},null,{"$f":"K145+K146","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K147:S147)","v":2202645063.5757318},{"$f":"ROW()","v":147},{"$f":"V145+V146","v":44.885119825603191},32.060799875430853,{"$f":"X145+X146","v":38.472959850517015},41.679039838060106,44.885119825603191,13.539896823450558,38.472959850517015,38.472959850517015,{"$f":"SUM(V147:AC147)","v":292.46885573969894}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Year 27","Gross Revenues",null,null,{"$f":"ROUND(T149,-6)","v":2203000000},{"$f":"ROUND(AD149,-6)","v":0},{"$f":"IF((MID($B149,6,2))^2<=400,H145*(1+$G$41),H145*(1+$H$41))","v":387000000},{"$f":"SUM(F149:H149)","v":2590000000},null,{"$f":"IF((MID($B149,6,2))^2<=400,K145*(1+$G$39),K145*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K149:S149)","v":2202645063.5757318},{"$f":"ROW()","v":149},{"$f":"IF((MID($B149,6,2))^2<=400,V145*(1+$G$40),V145*(1+$H$40))","v":45.33397102385922},32.381407874185165,{"$f":"IF((MID($B149,6,2))^2<=400,X145*(1+$G$40),X145*(1+$H$40))","v":38.857689449022182},42.095830236440705,45.33397102385922,35.61954866160368,38.857689449022182,38.857689449022182,{"$f":"SUM(V149:AC149)","v":317.33779716701451}]
[null,{"$f":"B149","v":"Year 27"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T150,-6)","v":0},{"$f":"ROUND(AD150,-6)","v":0},{"$f":"IF((MID($B150,6,2))^2<=400,H146*(1+$G$41),H146*(1+$H$41))","v":0},{"$f":"SUM(F150:H150)","v":0},null,{"$f":"IF((MID($B150,6,2))^2<=400,K146*(1+$G$39),K146*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K150:S150)","v":0},{"$f":"ROW()","v":150},0,0,{"$f":"IF((MID($B150,6,2))^2<=400,X146*(1+$G$40),X146*(1+$H$40))","v":0},0,0,-21.944252869918614,0,0,{"$f":"SUM(V150:AC150)","v":-21.944252869918614}]
[null,{"$f":"B150","v":"Year 27"},"Net Revenue Change",null,null,{"$f":"F149+F150","v":2203000000},{"$f":"G149+G150","v":0},{"$f":"H149+H150","v":387000000},{"$f":"SUM(F151:H151)","v":2590000000},null,{"$f":"K149+K150","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K151:S151)","v":2202645063.5757318},{"$f":"ROW()","v":151},{"$f":"V149+V150","v":45.33397102385922},32.381407874185165,{"$f":"X149+X150","v":38.857689449022182},42.095830236440705,45.33397102385922,13.675295791685066,38.857689449022182,38.857689449022182,{"$f":"SUM(V151:AC151)","v":295.3935442970959}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Year 28","Gross Revenues",null,null,{"$f":"ROUND(T153,-6)","v":2203000000},{"$f":"ROUND(AD153,-6)","v":0},{"$f":"IF((MID($B153,6,2))^2<=400,H149*(1+$G$41),H149*(1+$H$41))","v":387000000},{"$f":"SUM(F153:H153)","v":2590000000},null,{"$f":"IF((MID($B153,6,2))^2<=400,K149*(1+$G$39),K149*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K153:S153)","v":2202645063.5757318},{"$f":"ROW()","v":153},{"$f":"IF((MID($B153,6,2))^2<=400,V149*(1+$G$40),V149*(1+$H$40))","v":45.787310734097815},32.705221952927019,{"$f":"IF((MID($B153,6,2))^2<=400,X149*(1+$G$40),X149*(1+$H$40))","v":39.246266343512403},42.516788538805109,45.787310734097815,35.975744148219718,39.246266343512403,39.246266343512403,{"$f":"SUM(V153:AC153)","v":320.51117513868468}]
[null,{"$f":"B153","v":"Year 28"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T154,-6)","v":0},{"$f":"ROUND(AD154,-6)","v":0},{"$f":"IF((MID($B154,6,2))^2<=400,H150*(1+$G$41),H150*(1+$H$41))","v":0},{"$f":"SUM(F154:H154)","v":0},null,{"$f":"IF((MID($B154,6,2))^2<=400,K150*(1+$G$39),K150*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K154:S154)","v":0},{"$f":"ROW()","v":154},0,0,{"$f":"IF((MID($B154,6,2))^2<=400,X150*(1+$G$40),X150*(1+$H$40))","v":0},0,0,-22.163695398617801,0,0,{"$f":"SUM(V154:AC154)","v":-22.163695398617801}]
[null,{"$f":"B154","v":"Year 28"},"Net Revenue Change",null,null,{"$f":"F153+F154","v":2203000000},{"$f":"G153+G154","v":0},{"$f":"H153+H154","v":387000000},{"$f":"SUM(F155:H155)","v":2590000000},null,{"$f":"K153+K154","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K155:S155)","v":2202645063.5757318},{"$f":"ROW()","v":155},{"$f":"V153+V154","v":45.787310734097815},32.705221952927019,{"$f":"X153+X154","v":39.246266343512403},42.516788538805109,45.787310734097815,13.812048749601917,39.246266343512403,39.246266343512403,{"$f":"SUM(V155:AC155)","v":298.34747974006689}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Year 29","Gross Revenues",null,null,{"$f":"ROUND(T157,-6)","v":2203000000},{"$f":"ROUND(AD157,-6)","v":0},{"$f":"IF((MID($B157,6,2))^2<=400,H153*(1+$G$41),H153*(1+$H$41))","v":387000000},{"$f":"SUM(F157:H157)","v":2590000000},null,{"$f":"IF((MID($B157,6,2))^2<=400,K153*(1+$G$39),K153*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K157:S157)","v":2202645063.5757318},{"$f":"ROW()","v":157},{"$f":"IF((MID($B157,6,2))^2<=400,V153*(1+$G$40),V153*(1+$H$40))","v":46.245183841438795},33.03227417245629,{"$f":"IF((MID($B157,6,2))^2<=400,X153*(1+$G$40),X153*(1+$H$40))","v":39.638729006947528},42.941956424193158,46.245183841438795,36.335501589701913,39.638729006947528,39.638729006947528,{"$f":"SUM(V157:AC157)","v":323.71628689007156}]
[null,{"$f":"B157","v":"Year 29"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T158,-6)","v":0},{"$f":"ROUND(AD158,-6)","v":0},{"$f":"IF((MID($B158,6,2))^2<=400,H154*(1+$G$41),H154*(1+$H$41))","v":0},{"$f":"SUM(F158:H158)","v":0},null,{"$f":"IF((MID($B158,6,2))^2<=400,K154*(1+$G$39),K154*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K158:S158)","v":0},{"$f":"ROW()","v":158},0,0,{"$f":"IF((MID($B158,6,2))^2<=400,X154*(1+$G$40),X154*(1+$H$40))","v":0},0,0,-22.385332352603978,0,0,{"$f":"SUM(V158:AC158)","v":-22.385332352603978}]
[null,{"$f":"B158","v":"Year 29"},"Net Revenue Change",null,null,{"$f":"F157+F158","v":2203000000},{"$f":"G157+G158","v":0},{"$f":"H157+H158","v":387000000},{"$f":"SUM(F159:H159)","v":2590000000},null,{"$f":"K157+K158","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K159:S159)","v":2202645063.5757318},{"$f":"ROW()","v":159},{"$f":"V157+V158","v":46.245183841438795},33.03227417245629,{"$f":"X157+X158","v":39.638729006947528},42.941956424193158,46.245183841438795,13.950169237097935,39.638729006947528,39.638729006947528,{"$f":"SUM(V159:AC159)","v":301.33095453746756}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Year 30","Gross Revenues",null,null,{"$f":"ROUND(T161,-6)","v":2203000000},{"$f":"ROUND(AD161,-6)","v":0},{"$f":"IF((MID($B161,6,2))^2<=400,H157*(1+$G$41),H157*(1+$H$41))","v":387000000},{"$f":"SUM(F161:H161)","v":2590000000},null,{"$f":"IF((MID($B161,6,2))^2<=400,K157*(1+$G$39),K157*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K161:S161)","v":2202645063.5757318},{"$f":"ROW()","v":161},{"$f":"IF((MID($B161,6,2))^2<=400,V157*(1+$G$40),V157*(1+$H$40))","v":46.707635679853183},33.362596914180855,{"$f":"IF((MID($B161,6,2))^2<=400,X157*(1+$G$40),X157*(1+$H$40))","v":40.035116297017005},43.371375988435091,46.707635679853183,36.698856605598934,40.035116297017005,40.035116297017005,{"$f":"SUM(V161:AC161)","v":326.95344975897228}]
[null,{"$f":"B161","v":"Year 30"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T162,-6)","v":0},{"$f":"ROUND(AD162,-6)","v":0},{"$f":"IF((MID($B162,6,2))^2<=400,H158*(1+$G$41),H158*(1+$H$41))","v":0},{"$f":"SUM(F162:H162)","v":0},null,{"$f":"IF((MID($B162,6,2))^2<=400,K158*(1+$G$39),K158*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K162:S162)","v":0},{"$f":"ROW()","v":162},0,0,{"$f":"IF((MID($B162,6,2))^2<=400,X158*(1+$G$40),X158*(1+$H$40))","v":0},0,0,-22.609185676130018,0,0,{"$f":"SUM(V162:AC162)","v":-22.609185676130018}]
[null,{"$f":"B162","v":"Year 30"},"Net Revenue Change",null,null,{"$f":"F161+F162","v":2203000000},{"$f":"G161+G162","v":0},{"$f":"H161+H162","v":387000000},{"$f":"SUM(F163:H163)","v":2590000000},null,{"$f":"K161+K162","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K163:S163)","v":2202645063.5757318},{"$f":"ROW()","v":163},{"$f":"V161+V162","v":46.707635679853183},33.362596914180855,{"$f":"X161+X162","v":40.035116297017005},43.371375988435091,46.707635679853183,14.089670929468916,40.035116297017005,40.035116297017005,{"$f":"SUM(V163:AC163)","v":304.34426408284224}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,"Year 31","Gross Revenues",null,null,{"$f":"ROUND(T165,-6)","v":2203000000},{"$f":"ROUND(AD165,-6)","v":0},{"$f":"IF((MID($B165,6,2))^2<=400,H161*(1+$G$41),H161*(1+$H$41))","v":387000000},{"$f":"SUM(F165:H165)","v":2590000000},null,{"$f":"IF((MID($B165,6,2))^2<=400,K161*(1+$G$39),K161*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K165:S165)","v":2202645063.5757318},{"$f":"ROW()","v":165},{"$f":"IF((MID($B165,6,2))^2<=400,V161*(1+$G$40),V161*(1+$H$40))","v":47.174712036651712},33.696222883322662,{"$f":"IF((MID($B165,6,2))^2<=400,X161*(1+$G$40),X161*(1+$H$40))","v":40.435467459987173},43.805089748319439,47.174712036651712,37.065845171654921,40.435467459987173,40.435467459987173,{"$f":"SUM(V165:AC165)","v":330.22298425656203}]
[null,{"$f":"B165","v":"Year 31"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T166,-6)","v":0},{"$f":"ROUND(AD166,-6)","v":0},{"$f":"IF((MID($B166,6,2))^2<=400,H162*(1+$G$41),H162*(1+$H$41))","v":0},{"$f":"SUM(F166:H166)","v":0},null,{"$f":"IF((MID($B166,6,2))^2<=400,K162*(1+$G$39),K162*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K166:S166)","v":0},{"$f":"ROW()","v":166},0,0,{"$f":"IF((MID($B166,6,2))^2<=400,X162*(1+$G$40),X162*(1+$H$40))","v":0},0,0,-22.835277532891318,0,0,{"$f":"SUM(V166:AC166)","v":-22.835277532891318}]
[null,{"$f":"B166","v":"Year 31"},"Net Revenue Change",null,null,{"$f":"F165+F166","v":2203000000},{"$f":"G165+G166","v":0},{"$f":"H165+H166","v":387000000},{"$f":"SUM(F167:H167)","v":2590000000},null,{"$f":"K165+K166","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K167:S167)","v":2202645063.5757318},{"$f":"ROW()","v":167},{"$f":"V165+V166","v":47.174712036651712},33.696222883322662,{"$f":"X165+X166","v":40.435467459987173},43.805089748319439,47.174712036651712,14.230567638763603,40.435467459987173,40.435467459987173,{"$f":"SUM(V167:AC167)","v":307.3877067236707}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,"Year 32","Gross Revenues",null,null,{"$f":"ROUND(T169,-6)","v":2203000000},{"$f":"ROUND(AD169,-6)","v":0},{"$f":"IF((MID($B169,6,2))^2<=400,H165*(1+$G$41),H165*(1+$H$41))","v":387000000},{"$f":"SUM(F169:H169)","v":2590000000},null,{"$f":"IF((MID($B169,6,2))^2<=400,K165*(1+$G$39),K165*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K169:S169)","v":2202645063.5757318},{"$f":"ROW()","v":169},{"$f":"IF((MID($B169,6,2))^2<=400,V165*(1+$G$40),V165*(1+$H$40))","v":47.646459157018228},34.033185112155891,{"$f":"IF((MID($B169,6,2))^2<=400,X165*(1+$G$40),X165*(1+$H$40))","v":40.839822134587045},44.243140645802633,47.646459157018228,37.436503623371472,40.839822134587045,40.839822134587045,{"$f":"SUM(V169:AC169)","v":333.5252140991276}]
[null,{"$f":"B169","v":"Year 32"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T170,-6)","v":0},{"$f":"ROUND(AD170,-6)","v":0},{"$f":"IF((MID($B170,6,2))^2<=400,H166*(1+$G$41),H166*(1+$H$41))","v":0},{"$f":"SUM(F170:H170)","v":0},null,{"$f":"IF((MID($B170,6,2))^2<=400,K166*(1+$G$39),K166*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K170:S170)","v":0},{"$f":"ROW()","v":170},0,0,{"$f":"IF((MID($B170,6,2))^2<=400,X166*(1+$G$40),X166*(1+$H$40))","v":0},0,0,-23.063630308220233,0,0,{"$f":"SUM(V170:AC170)","v":-23.063630308220233}]
[null,{"$f":"B170","v":"Year 32"},"Net Revenue Change",null,null,{"$f":"F169+F170","v":2203000000},{"$f":"G169+G170","v":0},{"$f":"H169+H170","v":387000000},{"$f":"SUM(F171:H171)","v":2590000000},null,{"$f":"K169+K170","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K171:S171)","v":2202645063.5757318},{"$f":"ROW()","v":171},{"$f":"V169+V170","v":47.646459157018228},34.033185112155891,{"$f":"X169+X170","v":40.839822134587045},44.243140645802633,47.646459157018228,14.372873315151239,40.839822134587045,40.839822134587045,{"$f":"SUM(V171:AC171)","v":310.46158379090735}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Year 33","Gross Revenues",null,null,{"$f":"ROUND(T173,-6)","v":2203000000},{"$f":"ROUND(AD173,-6)","v":0},{"$f":"IF((MID($B173,6,2))^2<=400,H169*(1+$G$41),H169*(1+$H$41))","v":387000000},{"$f":"SUM(F173:H173)","v":2590000000},null,{"$f":"IF((MID($B173,6,2))^2<=400,K169*(1+$G$39),K169*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K173:S173)","v":2202645063.5757318},{"$f":"ROW()","v":173},{"$f":"IF((MID($B173,6,2))^2<=400,V169*(1+$G$40),V169*(1+$H$40))","v":48.122923748588413},34.373516963277453,{"$f":"IF((MID($B173,6,2))^2<=400,X169*(1+$G$40),X169*(1+$H$40))","v":41.248220355932915},44.68557205226066,48.122923748588413,37.810868659605184,41.248220355932915,41.248220355932915,{"$f":"SUM(V173:AC173)","v":336.86046624011885}]
[null,{"$f":"B173","v":"Year 33"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T174,-6)","v":0},{"$f":"ROUND(AD174,-6)","v":0},{"$f":"IF((MID($B174,6,2))^2<=400,H170*(1+$G$41),H170*(1+$H$41))","v":0},{"$f":"SUM(F174:H174)","v":0},null,{"$f":"IF((MID($B174,6,2))^2<=400,K170*(1+$G$39),K170*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K174:S174)","v":0},{"$f":"ROW()","v":174},0,0,{"$f":"IF((MID($B174,6,2))^2<=400,X170*(1+$G$40),X170*(1+$H$40))","v":0},0,0,-23.294266611302437,0,0,{"$f":"SUM(V174:AC174)","v":-23.294266611302437}]
[null,{"$f":"B174","v":"Year 33"},"Net Revenue Change",null,null,{"$f":"F173+F174","v":2203000000},{"$f":"G173+G174","v":0},{"$f":"H173+H174","v":387000000},{"$f":"SUM(F175:H175)","v":2590000000},null,{"$f":"K173+K174","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K175:S175)","v":2202645063.5757318},{"$f":"ROW()","v":175},{"$f":"V173+V174","v":48.122923748588413},34.373516963277453,{"$f":"X173+X174","v":41.248220355932915},44.68557205226066,48.122923748588413,14.516602048302747,41.248220355932915,41.248220355932915,{"$f":"SUM(V175:AC175)","v":313.56619962881643}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Year 34","Gross Revenues",null,null,{"$f":"ROUND(T177,-6)","v":2203000000},{"$f":"ROUND(AD177,-6)","v":0},{"$f":"IF((MID($B177,6,2))^2<=400,H173*(1+$G$41),H173*(1+$H$41))","v":387000000},{"$f":"SUM(F177:H177)","v":2590000000},null,{"$f":"IF((MID($B177,6,2))^2<=400,K173*(1+$G$39),K173*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K177:S177)","v":2202645063.5757318},{"$f":"ROW()","v":177},{"$f":"IF((MID($B177,6,2))^2<=400,V173*(1+$G$40),V173*(1+$H$40))","v":48.604152986074297},34.717252132910225,{"$f":"IF((MID($B177,6,2))^2<=400,X173*(1+$G$40),X173*(1+$H$40))","v":41.660702559492243},45.132427772783267,48.604152986074297,38.188977346201234,41.660702559492243,41.660702559492243,{"$f":"SUM(V177:AC177)","v":340.22907090252005}]
[null,{"$f":"B177","v":"Year 34"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T178,-6)","v":0},{"$f":"ROUND(AD178,-6)","v":0},{"$f":"IF((MID($B178,6,2))^2<=400,H174*(1+$G$41),H174*(1+$H$41))","v":0},{"$f":"SUM(F178:H178)","v":0},null,{"$f":"IF((MID($B178,6,2))^2<=400,K174*(1+$G$39),K174*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K178:S178)","v":0},{"$f":"ROW()","v":178},0,0,{"$f":"IF((MID($B178,6,2))^2<=400,X174*(1+$G$40),X174*(1+$H$40))","v":0},0,0,-23.527209277415462,0,0,{"$f":"SUM(V178:AC178)","v":-23.527209277415462}]
[null,{"$f":"B178","v":"Year 34"},"Net Revenue Change",null,null,{"$f":"F177+F178","v":2203000000},{"$f":"G177+G178","v":0},{"$f":"H177+H178","v":387000000},{"$f":"SUM(F179:H179)","v":2590000000},null,{"$f":"K177+K178","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K179:S179)","v":2202645063.5757318},{"$f":"ROW()","v":179},{"$f":"V177+V178","v":48.604152986074297},34.717252132910225,{"$f":"X177+X178","v":41.660702559492243},45.132427772783267,48.604152986074297,14.661768068785772,41.660702559492243,41.660702559492243,{"$f":"SUM(V179:AC179)","v":316.70186162510458}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":180}]
[null,"Year 35","Gross Revenues",null,null,{"$f":"ROUND(T181,-6)","v":2203000000},{"$f":"ROUND(AD181,-6)","v":0},{"$f":"IF((MID($B181,6,2))^2<=400,H177*(1+$G$41),H177*(1+$H$41))","v":387000000},{"$f":"SUM(F181:H181)","v":2590000000},null,{"$f":"IF((MID($B181,6,2))^2<=400,K177*(1+$G$39),K177*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K181:S181)","v":2202645063.5757318},{"$f":"ROW()","v":181},{"$f":"IF((MID($B181,6,2))^2<=400,V177*(1+$G$40),V177*(1+$H$40))","v":49.090194515935039},35.064424654239325,{"$f":"IF((MID($B181,6,2))^2<=400,X177*(1+$G$40),X177*(1+$H$40))","v":42.077309585087164},45.583752050511102,49.090194515935039,38.570867119663248,42.077309585087164,42.077309585087164,{"$f":"SUM(V181:AC181)","v":343.63136161154523}]
[null,{"$f":"B181","v":"Year 35"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T182,-6)","v":0},{"$f":"ROUND(AD182,-6)","v":0},{"$f":"IF((MID($B182,6,2))^2<=400,H178*(1+$G$41),H178*(1+$H$41))","v":0},{"$f":"SUM(F182:H182)","v":0},null,{"$f":"IF((MID($B182,6,2))^2<=400,K178*(1+$G$39),K178*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K182:S182)","v":0},{"$f":"ROW()","v":182},0,0,{"$f":"IF((MID($B182,6,2))^2<=400,X178*(1+$G$40),X178*(1+$H$40))","v":0},0,0,-23.762481370189619,0,0,{"$f":"SUM(V182:AC182)","v":-23.762481370189619}]
[null,{"$f":"B182","v":"Year 35"},"Net Revenue Change",null,null,{"$f":"F181+F182","v":2203000000},{"$f":"G181+G182","v":0},{"$f":"H181+H182","v":387000000},{"$f":"SUM(F183:H183)","v":2590000000},null,{"$f":"K181+K182","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K183:S183)","v":2202645063.5757318},{"$f":"ROW()","v":183},{"$f":"V181+V182","v":49.090194515935039},35.064424654239325,{"$f":"X181+X182","v":42.077309585087164},45.583752050511102,49.090194515935039,14.808385749473629,42.077309585087164,42.077309585087164,{"$f":"SUM(V183:AC183)","v":319.86888024135561}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":184}]
[null,"Year 36","Gross Revenues",null,null,{"$f":"ROUND(T185,-6)","v":2203000000},{"$f":"ROUND(AD185,-6)","v":0},{"$f":"IF((MID($B185,6,2))^2<=400,H181*(1+$G$41),H181*(1+$H$41))","v":387000000},{"$f":"SUM(F185:H185)","v":2590000000},null,{"$f":"IF((MID($B185,6,2))^2<=400,K181*(1+$G$39),K181*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K185:S185)","v":2202645063.5757318},{"$f":"ROW()","v":185},{"$f":"IF((MID($B185,6,2))^2<=400,V181*(1+$G$40),V181*(1+$H$40))","v":49.58109646109439},35.415068900781719,{"$f":"IF((MID($B185,6,2))^2<=400,X181*(1+$G$40),X181*(1+$H$40))","v":42.498082680938033},46.039589571016215,49.58109646109439,38.95657579085988,42.498082680938033,42.498082680938033,{"$f":"SUM(V185:AC185)","v":347.06767522766063}]
[null,{"$f":"B185","v":"Year 36"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T186,-6)","v":0},{"$f":"ROUND(AD186,-6)","v":0},{"$f":"IF((MID($B186,6,2))^2<=400,H182*(1+$G$41),H182*(1+$H$41))","v":0},{"$f":"SUM(F186:H186)","v":0},null,{"$f":"IF((MID($B186,6,2))^2<=400,K182*(1+$G$39),K182*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K186:S186)","v":0},{"$f":"ROW()","v":186},0,0,{"$f":"IF((MID($B186,6,2))^2<=400,X182*(1+$G$40),X182*(1+$H$40))","v":0},0,0,-24.000106183891514,0,0,{"$f":"SUM(V186:AC186)","v":-24.000106183891514}]
[null,{"$f":"B186","v":"Year 36"},"Net Revenue Change",null,null,{"$f":"F185+F186","v":2203000000},{"$f":"G185+G186","v":0},{"$f":"H185+H186","v":387000000},{"$f":"SUM(F187:H187)","v":2590000000},null,{"$f":"K185+K186","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K187:S187)","v":2202645063.5757318},{"$f":"ROW()","v":187},{"$f":"V185+V186","v":49.58109646109439},35.415068900781719,{"$f":"X185+X186","v":42.498082680938033},46.039589571016215,49.58109646109439,14.956469606968366,42.498082680938033,42.498082680938033,{"$f":"SUM(V187:AC187)","v":323.06756904376914}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Year 37","Gross Revenues",null,null,{"$f":"ROUND(T189,-6)","v":2203000000},{"$f":"ROUND(AD189,-6)","v":0},{"$f":"IF((MID($B189,6,2))^2<=400,H185*(1+$G$41),H185*(1+$H$41))","v":387000000},{"$f":"SUM(F189:H189)","v":2590000000},null,{"$f":"IF((MID($B189,6,2))^2<=400,K185*(1+$G$39),K185*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K189:S189)","v":2202645063.5757318},{"$f":"ROW()","v":189},{"$f":"IF((MID($B189,6,2))^2<=400,V185*(1+$G$40),V185*(1+$H$40))","v":50.076907425705336},35.769219589789536,{"$f":"IF((MID($B189,6,2))^2<=400,X185*(1+$G$40),X185*(1+$H$40))","v":42.923063507747415},46.499985466726379,50.076907425705336,39.346141548768479,42.923063507747415,42.923063507747415,{"$f":"SUM(V189:AC189)","v":350.53835197993732}]
[null,{"$f":"B189","v":"Year 37"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T190,-6)","v":0},{"$f":"ROUND(AD190,-6)","v":0},{"$f":"IF((MID($B190,6,2))^2<=400,H186*(1+$G$41),H186*(1+$H$41))","v":0},{"$f":"SUM(F190:H190)","v":0},null,{"$f":"IF((MID($B190,6,2))^2<=400,K186*(1+$G$39),K186*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K190:S190)","v":0},{"$f":"ROW()","v":190},0,0,{"$f":"IF((MID($B190,6,2))^2<=400,X186*(1+$G$40),X186*(1+$H$40))","v":0},0,0,-24.240107245730428,0,0,{"$f":"SUM(V190:AC190)","v":-24.240107245730428}]
[null,{"$f":"B190","v":"Year 37"},"Net Revenue Change",null,null,{"$f":"F189+F190","v":2203000000},{"$f":"G189+G190","v":0},{"$f":"H189+H190","v":387000000},{"$f":"SUM(F191:H191)","v":2590000000},null,{"$f":"K189+K190","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K191:S191)","v":2202645063.5757318},{"$f":"ROW()","v":191},{"$f":"V189+V190","v":50.076907425705336},35.769219589789536,{"$f":"X189+X190","v":42.923063507747415},46.499985466726379,50.076907425705336,15.106034303038051,42.923063507747415,42.923063507747415,{"$f":"SUM(V191:AC191)","v":326.29824473420689}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,"Year 38","Gross Revenues",null,null,{"$f":"ROUND(T193,-6)","v":2203000000},{"$f":"ROUND(AD193,-6)","v":0},{"$f":"IF((MID($B193,6,2))^2<=400,H189*(1+$G$41),H189*(1+$H$41))","v":387000000},{"$f":"SUM(F193:H193)","v":2590000000},null,{"$f":"IF((MID($B193,6,2))^2<=400,K189*(1+$G$39),K189*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K193:S193)","v":2202645063.5757318},{"$f":"ROW()","v":193},{"$f":"IF((MID($B193,6,2))^2<=400,V189*(1+$G$40),V189*(1+$H$40))","v":50.577676499962386},36.126911785687433,{"$f":"IF((MID($B193,6,2))^2<=400,X189*(1+$G$40),X189*(1+$H$40))","v":43.352294142824888},46.964985321393641,50.577676499962386,39.739602964256164,43.352294142824888,43.352294142824888,{"$f":"SUM(V193:AC193)","v":354.04373549973673}]
[null,{"$f":"B193","v":"Year 38"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T194,-6)","v":0},{"$f":"ROUND(AD194,-6)","v":0},{"$f":"IF((MID($B194,6,2))^2<=400,H190*(1+$G$41),H190*(1+$H$41))","v":0},{"$f":"SUM(F194:H194)","v":0},null,{"$f":"IF((MID($B194,6,2))^2<=400,K190*(1+$G$39),K190*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K194:S194)","v":0},{"$f":"ROW()","v":194},0,0,{"$f":"IF((MID($B194,6,2))^2<=400,X190*(1+$G$40),X190*(1+$H$40))","v":0},0,0,-24.482508318187733,0,0,{"$f":"SUM(V194:AC194)","v":-24.482508318187733}]
[null,{"$f":"B194","v":"Year 38"},"Net Revenue Change",null,null,{"$f":"F193+F194","v":2203000000},{"$f":"G193+G194","v":0},{"$f":"H193+H194","v":387000000},{"$f":"SUM(F195:H195)","v":2590000000},null,{"$f":"K193+K194","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K195:S195)","v":2202645063.5757318},{"$f":"ROW()","v":195},{"$f":"V193+V194","v":50.577676499962386},36.126911785687433,{"$f":"X193+X194","v":43.352294142824888},46.964985321393641,50.577676499962386,15.257094646068431,43.352294142824888,43.352294142824888,{"$f":"SUM(V195:AC195)","v":329.56122718154893}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,"Year 39","Gross Revenues",null,null,{"$f":"ROUND(T197,-6)","v":2203000000},{"$f":"ROUND(AD197,-6)","v":0},{"$f":"IF((MID($B197,6,2))^2<=400,H193*(1+$G$41),H193*(1+$H$41))","v":387000000},{"$f":"SUM(F197:H197)","v":2590000000},null,{"$f":"IF((MID($B197,6,2))^2<=400,K193*(1+$G$39),K193*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K197:S197)","v":2202645063.5757318},{"$f":"ROW()","v":197},{"$f":"IF((MID($B197,6,2))^2<=400,V193*(1+$G$40),V193*(1+$H$40))","v":51.08345326496201},36.488180903544311,{"$f":"IF((MID($B197,6,2))^2<=400,X193*(1+$G$40),X193*(1+$H$40))","v":43.785817084253139},47.434635174607578,51.08345326496201,40.136998993898729,43.785817084253139,43.785817084253139,{"$f":"SUM(V197:AC197)","v":357.58417285473411}]
[null,{"$f":"B197","v":"Year 39"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T198,-6)","v":0},{"$f":"ROUND(AD198,-6)","v":0},{"$f":"IF((MID($B198,6,2))^2<=400,H194*(1+$G$41),H194*(1+$H$41))","v":0},{"$f":"SUM(F198:H198)","v":0},null,{"$f":"IF((MID($B198,6,2))^2<=400,K194*(1+$G$39),K194*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K198:S198)","v":0},{"$f":"ROW()","v":198},0,0,{"$f":"IF((MID($B198,6,2))^2<=400,X194*(1+$G$40),X194*(1+$H$40))","v":0},0,0,-24.727333401369609,0,0,{"$f":"SUM(V198:AC198)","v":-24.727333401369609}]
[null,{"$f":"B198","v":"Year 39"},"Net Revenue Change",null,null,{"$f":"F197+F198","v":2203000000},{"$f":"G197+G198","v":0},{"$f":"H197+H198","v":387000000},{"$f":"SUM(F199:H199)","v":2590000000},null,{"$f":"K197+K198","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K199:S199)","v":2202645063.5757318},{"$f":"ROW()","v":199},{"$f":"V197+V198","v":51.08345326496201},36.488180903544311,{"$f":"X197+X198","v":43.785817084253139},47.434635174607578,51.08345326496201,15.409665592529119,43.785817084253139,43.785817084253139,{"$f":"SUM(V199:AC199)","v":332.85683945336444}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,"Year 40","Gross Revenues",null,null,{"$f":"ROUND(T201,-6)","v":2203000000},{"$f":"ROUND(AD201,-6)","v":0},{"$f":"IF((MID($B201,6,2))^2<=400,H197*(1+$G$41),H197*(1+$H$41))","v":387000000},{"$f":"SUM(F201:H201)","v":2590000000},null,{"$f":"IF((MID($B201,6,2))^2<=400,K197*(1+$G$39),K197*(1+$H$39))","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K201:S201)","v":2202645063.5757318},{"$f":"ROW()","v":201},{"$f":"IF((MID($B201,6,2))^2<=400,V197*(1+$G$40),V197*(1+$H$40))","v":51.594287797611628},36.853062712579757,{"$f":"IF((MID($B201,6,2))^2<=400,X197*(1+$G$40),X197*(1+$H$40))","v":44.223675255095671},47.908981526353656,51.594287797611628,40.538368983837714,44.223675255095671,44.223675255095671,{"$f":"SUM(V201:AC201)","v":361.16001458328134}]
[null,{"$f":"B201","v":"Year 40"},"Revenues Lost to Outer-Borough Discounts",null,null,{"$f":"ROUND(T202,-6)","v":0},{"$f":"ROUND(AD202,-6)","v":0},{"$f":"IF((MID($B202,6,2))^2<=400,H198*(1+$G$41),H198*(1+$H$41))","v":0},{"$f":"SUM(F202:H202)","v":0},null,{"$f":"IF((MID($B202,6,2))^2<=400,K198*(1+$G$39),K198*(1+$H$39))","v":0},0,0,0,0,0,0,0,0,{"$f":"SUM(K202:S202)","v":0},{"$f":"ROW()","v":202},0,0,{"$f":"IF((MID($B202,6,2))^2<=400,X198*(1+$G$40),X198*(1+$H$40))","v":0},0,0,-24.974606735383304,0,0,{"$f":"SUM(V202:AC202)","v":-24.974606735383304}]
[null,{"$f":"B202","v":"Year 40"},"Net Revenue Change",null,null,{"$f":"F201+F202","v":2203000000},{"$f":"G201+G202","v":0},{"$f":"H201+H202","v":387000000},{"$f":"SUM(F203:H203)","v":2590000000},null,{"$f":"K201+K202","v":0},0,0,0,232192980.99685282,165459486.93194288,199430903.1857439,302554490.38983858,1303007202.0713537,{"$f":"SUM(K203:S203)","v":2202645063.5757318},{"$f":"ROW()","v":203},{"$f":"V201+V202","v":51.594287797611628},36.853062712579757,{"$f":"X201+X202","v":44.223675255095671},47.908981526353656,51.594287797611628,15.56376224845441,44.223675255095671,44.223675255095671,{"$f":"SUM(V203:AC203)","v":336.18540784789803}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,1,{"$f":"I47","v":2391000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,2,{"$f":"I51","v":2401000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,3,{"$f":"I55","v":2411000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,4,{"$f":"I59","v":2421000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,5,{"$f":"I63","v":2431000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,null,null,null,null,null,null,6,{"$f":"I67","v":2441000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,7,{"$f":"I71","v":2451000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,8,{"$f":"I75","v":2462000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,9,{"$f":"I79","v":2472000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,10,{"$f":"I83","v":2482000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,11,{"$f":"I87","v":2493000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,null,null,null,null,null,null,12,{"$f":"I91","v":2503000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,13,{"$f":"I95","v":2514000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,null,null,null,null,null,null,14,{"$f":"I99","v":2525000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,15,{"$f":"I103","v":2535000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,null,16,{"$f":"I107","v":2546000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":221}]
[null,null,null,null,null,null,null,17,{"$f":"I111","v":2557000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,18,{"$f":"I115","v":2568000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,19,{"$f":"I119","v":2579000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,null,null,null,null,null,null,20,{"$f":"I123","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":225}]
[null,null,null,null,null,null,null,21,{"$f":"I127","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":226}]
[null,null,null,null,null,null,null,22,{"$f":"I131","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,23,{"$f":"I135","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,null,null,null,null,null,null,24,{"$f":"I139","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,null,25,{"$f":"I143","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":230}]
[null,null,null,null,null,null,null,26,{"$f":"I147","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,null,null,null,null,null,null,27,{"$f":"I151","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,28,{"$f":"I155","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,null,null,null,null,null,null,29,{"$f":"I159","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,null,30,{"$f":"I163","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,null,null,null,null,null,null,31,{"$f":"I167","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,null,null,null,null,null,null,32,{"$f":"I171","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":237}]
[null,null,null,null,null,null,null,33,{"$f":"I175","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,34,{"$f":"I179","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,null,null,null,null,null,null,35,{"$f":"I183","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,36,{"$f":"I187","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,37,{"$f":"I191","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,38,{"$f":"I195","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,39,{"$f":"I199","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,null,null,null,null,null,null,40,{"$f":"I203","v":2590000000},null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":245}]

{"sheet":"Toll Rates","index":67,"n_rows":86,"n_cols":20,"rows_kept":86,"cut":false,"hidden":false,"merged":[[85,1,89,14],[6,1,7,13],[9,6,9,9],[9,2,9,5],[9,10,9,13],[70,6,70,9],[70,10,70,13],[82,1,83,14],[79,1,80,14]]}
[null,"Toll Rates",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[null,"This worksheet derives weighted average toll rates for the three East River crossings operated by MTA Bridges & Tunnels"]
[]
[null,"Note: Tolls shown are one-way, but all crossings charge tolls in both directions. This is reflected in Price to Drive worksheet."]
[]
[null,"Data through 2000 are from Komanoff spreadsheet, \"MTA Hub Bound Volumes _ CK Mods 17 Jan 03.xls,\" prepared as part of analysis for TSTC on travel impacts from different MTA toll scenarios."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Manhat-","Manhat-","Manhattan"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MTA % of","Effective",null,"tan Jobs","tan Wages","Wages / CPI"]
[null,null,"Average daily volumes",null,null,null,"Base Passenger Car Toll",null,null,null,"X-Products",null,null,null,"E Riv X'ings","1-way toll",null,"000","000,000","(82-84=100)"]
[null,null,"BBT","QMT","Triboro Manh.","Totals","BBT","QMT","Trib M","Totals","BBT","QMT","TMP","Totals"]
[null,1948,null,26462,26465,{"$f":"SUM(C12:E12)","v":52927},null,0.25,0.25]
[null,1949,null,30045,32554,{"$f":"SUM(C13:E13)","v":62599},null,0.25,0.25]
[null,{"$f":"B13+1","v":1950},37258,34044,36995,108297,0.35,0.25,0.25,{"$f":"N14/F14","v":0.28440353841749999},{"$f":"C14*G14","v":13040.3},{"$f":"D14*H14","v":8511},{"$f":"E14*I14","v":9248.75},{"$f":"SUM(K14:M14)","v":30800.05}]
[null,{"$f":"B14+1","v":1951},41253,36680,44639,122572,0.35,0.25,0.25,0.28365613680122703,14438.55,9170,11159.75,{"$f":"SUM(K15:M15)","v":34768.300000000003}]
[null,1952,45366,38866,48503,132735,0.35,0.25,0.25,0.28417787320601195,15878.099999999999,9716.5,12125.75,37720.35]
[null,1953,47999,38509,48595,135103,0.35,0.25,0.25,0.28552770848907866,16799.649999999998,9627.25,12148.75,38575.649999999994]
[null,1954,45120,38185,52286,135591,0.35,0.25,0.25,0.2832765449034228,15791.999999999998,9546.25,13071.5,38409.75]
[null,1955,45843,39839,59913,145595,0.35,0.25,0.25,0.28148665819567981,16045.05,9959.75,14978.25,40983.050000000003]
[null,1956,48054,49544,64460,162058,0.35,0.25,0.25,0.27965234669069094,16818.899999999998,12386,16115,45319.899999999994]
[null,1957,54490,54311,64677,173478,0.35,0.25,0.25,0.28141032292279139,19071.5,13577.75,16169.25,48818.5]
[null,1958,53789,58321,62982,175092,0.35,0.25,0.25,0.28072042126424962,18826.149999999998,14580.25,15745.5,49151.899999999994]
[null,1959,49468,61115,64389,174972,0.35,0.25,0.25,0.27827195208376199,17313.8,15278.75,16097.25,48689.8]
[null,1960,48970,62008,63115,174093,0.35,0.25,0.25,0.27812864388573921,17139.5,15502,15778.75,48420.25]
[null,1961,48197,62301,59603,170101,0.35,0.25,0.25,0.27833434253766876,16868.95,15575.25,14900.75,47344.95]
[null,1962,48173,65038,60251,173462,0.35,0.25,0.25,0.27777150038625176,16860.55,16259.5,15062.75,48182.8]
[null,1963,48271,63038,60988,172297,0.35,0.25,0.25,0.27801615814552777,16894.849999999999,15759.5,15247,47901.35]
[null,1964,51893,67713,66139,185745,0.35,0.25,0.25,0.27793776413900778,18162.55,16928.25,16534.75,51625.55]
[null,1965,56455,69386,69755,195596,0.35,0.25,0.25,0.27886306468434935,19759.25,17346.5,17438.75,54544.5]
[null,1966,57674,69850,71540,199064,0.35,0.25,0.25,0.27897259172929306,20185.899999999998,17462.5,17885,55533.399999999994]
[null,1967,57611,69416,73602,200629,0.35,0.25,0.25,0.27871519072516932,20163.849999999999,17354,18400.5,55918.35]
[null,1968,60652,66432,75932,203016,0.35,0.25,0.25,0.27987547779485361,21228.199999999997,16608,18983,56819.199999999997]
[null,1969,62116,68884,78481,209481,0.35,0.25,0.25,0.27965233123767785,21740.6,17221,19620.25,58581.85]
[null,1970,62042,77180,85121,224343,0.35,0.25,0.25,0.27765497474848777,21714.699999999997,19295,21280.25,62289.95,{"$f":"Bridges!M196","v":0.37636012253265466},{"$f":"J34*O34","v":0.10449826031814199}]
[null,1971,64032,81747,90372,236151,0.35,0.25,0.25,0.27711485447870216,22411.199999999997,20436.75,22593,65440.95,{"$f":"Bridges!M197","v":0.39344008290279747},0.10902809131969723]
[null,1972,52065,74936,80052,207053,0.7,0.5,0.5,0.55029147126581113,36445.5,37468,40026,113939.5,{"$f":"Bridges!M198","v":0.34662213628640065},0.19074320535034192]
[null,1973,49916,74214,85592,209722,0.7,0.5,0.5,0.54760206368430586,34941.199999999997,37107,42796,114844.2,{"$f":"Bridges!M199","v":0.34721495599425178},0.19013562644450771]
[null,1974,46620,75219,82676,204515,0.7,0.5,0.5,0.54559078796176319,32633.999999999996,37609.5,41338,111581.5,{"$f":"Bridges!M200","v":0.34134417988269972},0.18623424006836398]
[null,1975,45636,65315,72566,183517,{"$f":"8/12*G38+4/12*G40","v":0.71666666666666656},{"$f":"8/12*H38+4/12*H40","v":0.58333333333333326},{"$f":"8/12*I38+4/12*I40","v":0.58333333333333326},0.61648993462912605,32705.799999999996,38100.416666666664,42330.166666666664,113136.38333333333,{"$f":"Bridges!M201","v":0.31215895328425436},0.19244285270410638,null,null,23582.306121000001,{"$f":"'Toll Rates'!S39*100/'Trip Price'!P34","v":43833.282752788109}]
[null,1976,52444,65881,68325,186650,0.75,0.75,0.75,0.75,39333,49410.75,51243.75,139987.5,{"$f":"Bridges!M202","v":0.31911546970582905},0.23933660227937179,null,null,24975.977209000001,{"$f":"'Toll Rates'!S40*100/'Trip Price'!P35","v":43894.511790861165}]
[null,1977,53500,71150,73276,197926,0.75,0.75,0.75,0.75,40125,53362.5,54957,148444.5,{"$f":"Bridges!M203","v":0.3320538329648059},0.24904037472360441,null,null,26641.513324,{"$f":"'Toll Rates'!S41*100/'Trip Price'!P36","v":43962.893273927388}]
[null,1978,58252,72696,76572,207520,0.75,0.75,0.75,0.75,43689,54522,57429,155640,{"$f":"Bridges!M204","v":0.34150339166581639},0.25612754374936231,null,2177.9270000000001,34986.109044999997,{"$f":"'Toll Rates'!S42*100/'Trip Price'!P37","v":53659.676449386498}]
[null,1979,60445,69827,87885,218157,0.75,0.75,0.75,0.75,45333.75,52370.25,65913.75,163617.75,{"$f":"Bridges!M205","v":0.36348292609778654},0.27261219457333991,null,2181.1750000000002,37345.270218999998,{"$f":"'Toll Rates'!S43*100/'Trip Price'!P38","v":51439.766141873282}]
[null,1980,62386,73216,88439,224041,{"$f":"139/366*G43+227/366*G45","v":0.9050546448087432},{"$f":"139/366*H43+227/366*H45","v":0.9050546448087432},{"$f":"139/366*I43+227/366*I45","v":0.9050546448087432},0.90505464480874309,56462.739071038253,66264.480874316941,80042.127732240435,202769.34767759562,{"$f":"Bridges!M206","v":0.36340735862553347},0.32890351788171573,null,2205.27,41512.846052000001,{"$f":"'Toll Rates'!S44*100/'Trip Price'!P39","v":50379.667538834947}]
[null,1981,58657,81211,93361,233229,1,1,1,1,58657,81211,93361,233229,{"$f":"Bridges!M207","v":0.37117452900753395},0.37117452900753395,null,2247.4839999999999,46425.512564999997,{"$f":"'Toll Rates'!S45*100/'Trip Price'!P40","v":51073.171138613863}]
[null,1982,56189,78229,88158,222576,{"$f":"108/365*G45+257/365*G47","v":1.1760273972602739},{"$f":"108/365*H45+257/365*H47","v":1.3520547945205479},{"$f":"108/365*I45+257/365*I47","v":1.3520547945205479},{"$f":"N46/F46","v":1.3076169241991407},{"$f":"C46*G46","v":66079.803424657526},{"$f":"D46*H46","v":105769.89452054794},{"$f":"E46*I46","v":119194.44657534246},291044.14452054794,{"$f":"Bridges!M208","v":0.34910596649727083},0.45649687013072954,null,2237.0810000000001,50786.903508000003,{"$f":"'Toll Rates'!S46*100/'Trip Price'!P41","v":52628.915552331608}]
[null,1983,61130,78134,92967,232231,1.25,1.5,1.5,1.4341926788413262,76412.5,117201,139450.5,333064,{"$f":"Bridges!M209","v":0.35983439291087616},0.51607185190809179,null,2244.6320000000001,54853.540813,{"$f":"'Toll Rates'!S47*100/'Trip Price'!P42","v":55073.836157630525}]
[null,1984,58032,74808,95247,228087,1.5,1.5,1.5,1.5,87048,112212,142870.5,342130.5,{"$f":"Bridges!M210","v":0.34736106288492113},0.52104159432738173,null,2287.4810000000002,59692.538915999998,{"$f":"'Toll Rates'!S48*100/'Trip Price'!P43","v":57451.914259865247}]
[null,1985,63469,76065,94644,234178,1.5,1.5,1.5,1.5,95203.5,114097.5,141966,351267,{"$f":"Bridges!M211","v":0.32973064304923894},0.4945959645738584,null,2320.3330000000001,64269.827154999999,{"$f":"'Toll Rates'!S49*100/'Trip Price'!P44","v":59730.32263475837}]
[null,1986,60778,71478,93432,225688,1.75,1.75,1.75,1.75,106361.5,125086.5,163506,394954,{"$f":"Bridges!M212","v":0.32454461395544143},0.56795307442202247,null,2353.2460000000001,70565.526895000003,{"$f":"'Toll Rates'!S50*100/'Trip Price'!P45","v":64384.604831204386}]
[null,1987,63256,77813,95795,236864,{"$f":"36/365*G50+329/365*G52","v":1.9753424657534246},{"$f":"36/365*H50+329/365*H52","v":1.9753424657534246},{"$f":"36/365*I50+329/365*I52","v":1.9753424657534246},1.9753424657534244,124952.26301369863,153707.32328767123,189227.9315068493,467887.51780821913,{"$f":"Bridges!M213","v":0.33985502671617718},0.67133006647222937,null,2390.7049999999999,77553.320412000001,{"$f":"'Toll Rates'!S51*100/'Trip Price'!P46","v":68268.767968309869}]
[null,1988,62959,76243,99438,238640,2,2,2,2,125918,152486,198876,477280,{"$f":"Bridges!M214","v":0.34115894541514058},0.68231789083028116,null,2385.5529999999999,84897.006630000003,{"$f":"'Toll Rates'!S52*100/'Trip Price'!P47","v":71764.164522400679}]
[null,1989,59254,72828,92720,224802,{"$f":"196/365*G52+169/365*G54","v":2.2315068493150685},{"$f":"196/365*H52+169/365*H54","v":2.2315068493150685},{"$f":"196/365*I52+169/365*I54","v":2.2315068493150685},2.2315068493150685,132225.70684931506,162516.18082191781,206905.31506849316,501647.20273972605,{"$f":"Bridges!M215","v":0.32774557372460283},0.73136649259914799,null,2376.1280000000002,87142.355878000002,{"$f":"'Toll Rates'!S53*100/'Trip Price'!P48","v":70276.09345}]
[null,1990,60512,71186,99840,231538,2.5,2.5,2.5,2.5,151280,177965,249600,578845,{"$f":"Bridges!M216","v":0.34037142172521612},0.85092855431304026,null,2342.6950000000002,91838.57372,{"$f":"'Toll Rates'!S54*100/'Trip Price'!P49","v":70266.697566947216}]
[null,1991,63883,80616,94487,238986,2.5,2.5,2.5,2.5,159707.5,201540,236217.5,597465,{"$f":"Bridges!M217","v":0.34789178330458326},0.86972945826145809,null,2205.971,90001.997247000007,{"$f":"'Toll Rates'!S55*100/'Trip Price'!P50","v":66080.761561674022}]
[null,1992,62510,81835,97198,241543,2.5,2.5,2.5,2.5,156275,204587.5,242995,603857.5,{"$f":"Bridges!M218","v":0.35277819970555935},0.88194549926389842,null,2124.567,98549.650397999998,{"$f":"'Toll Rates'!S56*100/'Trip Price'!P51","v":70242.088665716306}]
[null,1993,57561,77288,92660,227509,{"$f":"30/365*G56+335/365*G58","v":2.9589041095890409},{"$f":"30/365*H56+335/365*H58","v":2.9589041095890409},{"$f":"30/365*I56+335/365*I58","v":2.9589041095890409},2.9589041095890409,170317.47945205477,228687.78082191778,274172.05479452055,673177.31506849313,{"$f":"Bridges!M219","v":0.34503315978725568},1.020920034439003,null,2108.549,99553.677039000002,{"$f":"'Toll Rates'!S57*100/'Trip Price'!P52","v":68895.278227681658}]
[null,1994,57013,68511,79536,205060,3,3,3,3,171039,205533,238608,615180,{"$f":"Bridges!M220","v":0.31387231124573911},0.94161693373721733,null,2118.0630000000001,100990.24954800001,{"$f":"'Toll Rates'!S58*100/'Trip Price'!P53","v":68144.567846153848}]
[null,1995,61097,73882,95696,230675,3,3,3,3,183291,221646,287088,692025,{"$f":"Bridges!M221","v":0.33163067262046814},0.99489201786140447,null,2103.8919999999998,108057.885559,{"$f":"'Toll Rates'!S59*100/'Trip Price'!P54","v":70904.124382545924}]
[null,1996,57091,72285,92981,222357,{"$f":"2/12*G59+10/12*G61","v":3.416666666666667},{"$f":"2/12*H59+10/12*H61","v":3.416666666666667},{"$f":"2/12*I59+10/12*I61","v":3.416666666666667},3.4166666666666674,195060.91666666669,246973.75000000003,317685.08333333337,759719.75000000012,{"$f":"Bridges!M222","v":0.32421165900451854},1.1077231682654385,null,2141.7579999999998,118465.22971100001,{"$f":"'Toll Rates'!S60*100/'Trip Price'!P55","v":75503.651823454435}]
[null,1997,54690,78023,91313,224026,3.5,3.5,3.5,3.5,191415,273080.5,319595.5,784091,{"$f":"Bridges!M223","v":0.30461658118449464},1.0661580341457313,null,2263.375,129431.429,{"$f":"'Toll Rates'!S61*100/'Trip Price'!P56","v":80642.634890965739}]
[null,1998,61091,79697,93863,234651,3.5,3.5,3.5,3.5,213818.5,278939.5,328520.5,821278.5,{"$f":"Bridges!M224","v":0.30942676183933088},1.082993666437658,null,2306.0329999999999,142242.35,{"$f":"'Toll Rates'!S62*100/'Trip Price'!P57","v":87265.245398773011}]
[null,1999,63307,80941,98553,242801,3.5,3.5,3.5,3.5,221574.5,283293.5,344935.5,849803.5,{"$f":"Bridges!M225","v":0.31976615549948112},1.1191815442481838,null,2382.1750000000002,151722.886,{"$f":"'Toll Rates'!S63*100/'Trip Price'!P58","v":91070.159663865546}]
[null,2000,63242,80879,103079,247200,3.5,3.5,3.5,3.5,221347,283076.5,360776.5,865200,{"$f":"Bridges!M226","v":0.32442349865545356},1.1354822452940874,null,2286.8910000000001,172879.636,{"$f":"'Toll Rates'!S64*100/'Trip Price'!P59","v":100394.67828106854}]
[null,2001,{"$f":"253/365*C64+(365-253)/365*13762","v":48059.095890410965},72864,102224,223147.09589041097,3.5,3.5,3.5,3.5,168206.83561643839,255024,357784,{"$f":"SUM(K65:M65)","v":781014.83561643842},{"$f":"Bridges!M227","v":0.34305617339302397},1.2006966068755838,null,2342.3380000000002,175402.04500000001,{"$f":"'Toll Rates'!S65*100/'Trip Price'!P60","v":99041.245059288543}]
[null,2002,56976,82834,94759,234569,3.5,3.5,3.5,3.5,199416,289919,331656.5,{"$f":"SUM(K66:M66)","v":820991.5},{"$f":"Bridges!M228","v":0.33431103015895414},1.1700886055563395,null,2249.1860000000001,162963.20199999999,{"$f":"'Toll Rates'!S66*100/'Trip Price'!P61","v":90585.437465258467}]
[null,2003,56271,85377,93177,234825,{"$f":"G66*137/365+G68*(365-137)/365","v":3.8123287671232875},{"$f":"H66*137/365+H68*(365-137)/365","v":3.8123287671232875},{"$f":"I66*137/365+I68*(365-137)/365","v":3.8123287671232875},3.8123287671232875,214523.55205479451,325485.19315068494,355221.35753424658,{"$f":"SUM(K67:M67)","v":895230.10273972596},{"$f":"Bridges!M229","v":0.32245418081601884},1.2293013496040828,null,2212.4569999999999,162549.45199999999,{"$f":"'Toll Rates'!S67*100/'Trip Price'!P62","v":88342.093478260867}]
[null,2004,54488,86599,97958,239045,4,4,4,4,217952,346396,391832,{"$f":"SUM(K68:M68)","v":956180},{"$f":"Bridges!M230","v":0.32016356072721036},1.2806542429088414,null,2213.9699999999998,176835.31099999999,{"$f":"'Toll Rates'!S68*100/'Trip Price'!P63","v":93613.187400741124}]
[null,2005,49043,86063,91898,227004,{"$f":"(31+28+12)/365*G68+(365-31-28-12)/365*G70","v":4.4027397260273977},{"$f":"(31+28+12)/365*H68+(365-31-28-12)/365*H70","v":4.4027397260273977},{"$f":"(31+28+12)/365*I68+(365-31-28-12)/365*I70","v":4.4027397260273977},4.4027397260273977,215923.56438356166,378912.98904109595,404602.9753424658,{"$f":"SUM(K69:M69)","v":999439.52876712335},{"$f":"Bridges!M231","v":0.31301527680680402},1.3781247940507784,null,2248.8119999999999,189341.06599999999,{"$f":"'Toll Rates'!S69*100/'Trip Price'!P64","v":96948.830517153081}]
[null,2006,null,null,null,null,4.5,4.5,4.5,null,null,null,null,null,null,null,null,2295.6610000000001,210431.43100000001,{"$f":"'Toll Rates'!S70*100/'Trip Price'!P65","v":104380.67013888891}]
[null,null,null,null,null,null,"E-Z Pass Rates",null,null,null,"Cash Rates"]
[null,null,null,null,null,null,"Majors","Rockwy","HH","VZNB","Majors","Rockwy","HH","VZNB"]
[]
[null,{"$f":"B70+1","v":2007}]
[null,{"$f":"B74+1","v":2008}]
[null,{"$f":"B75+1","v":2009}]
[null,{"$f":"B76+1","v":2010},null,null,null,null,4.57,1.71,2.09,9.14,5.5,2.75,3,11]
[null,{"$f":"B77+1","v":2011},null,null,null,null,4.8,1.8,2.2000000000000002,9.6,6.5,3.25,4,13]
[]
[null,"Toll rates for 2010 and 2011 are from NY Post and amNewYork (both Oct 28, 2010). Rates shown for 2011 go into effect Dec. 30, 2010. Staten Island residents using E-ZPass get $2.88 Verrazano discount. \"Majors\" are RFK, Throgs, Whitestone, BBT & QMT."]
[]
[]
[null,"Toll rate for 2005 reflects March 13, 2005 rollout of $4.50 toll. See http://www.answers.com/topic/triborough-bridge-and-tunnel-authority, or http://www.nyc.gov/html/dot/pdf/manrivercross05.pdf."]
[]
[]
[null,"Manhattan jobs are Annual average employment in New York County, provided to KEA by Solidelle Wasser, Bureau of Labor Statistics, on July 5, 2005: \"I am attaching data for New York County from the QCEW(Quarterly Census of Employment and Wages) program. Data from 1975 to 1977 are not comparable because there was a change in the coverage of unemployment insurance in 1978. Annual average data for 2006 are not yet available from this program. Should you have questions on this or any other program with which we can be of assistance, please let us know. Solidelle Wasser, economist, 212-337-2418.\" Updated July 26, 2007 with 2006 data for jobs and earnings."]

{"sheet":"Value of Time","index":68,"n_rows":177,"n_cols":17,"rows_kept":177,"cut":false,"hidden":false,"merged":[[78,11,79,11],[67,7,70,7],[144,4,144,6],[141,4,141,8],[141,9,141,13],[144,9,145,13],[78,12,79,12],[78,13,80,13],[105,7,110,7],[81,13,88,13],[114,12,115,12],[132,9,133,9],[135,4,136,10],[30,1,33,10],[95,11,98,11],[57,6,60,6],[95,9,98,9],[95,10,98,10],[57,11,60,11],[37,1,40,10],[57,9,60,9],[57,10,60,10],[57,5,60,5],[57,7,60,7],[57,8,60,8],[79,3,79,4],[79,6,79,8],[64,8,66,8],[69,6,70,6],[99,15,104,16],[115,3,115,4],[80,3,81,3],[80,4,81,4],[99,3,102,3],[97,3,98,3],[109,9,110,10],[95,5,98,5],[95,6,98,6],[95,7,98,7],[95,8,98,8],[103,6,104,6],[107,6,108,6],[147,9,147,13],[129,10,133,10],[3,1,4,10],[11,1,15,10],[6,1,9,10],[17,1,20,10],[116,4,117,4],[115,6,115,8],[65,6,66,6],[99,2,102,2],[78,2,79,2],[57,4,60,4],[71,9,72,10],[72,1,73,8],[35,1,36,10],[35,11,36,11],[4,16,5,25],[6,16,8,25],[9,16,12,25],[173,1,176,10],[158,1,161,10],[114,11,115,11],[162,1,165,10],[166,1,172,10],[116,3,117,3],[114,2,115,2],[132,4,133,4],[132,5,133,5],[132,6,133,6],[132,7,133,7],[132,8,133,8],[147,4,147,8]]}
[null,"Value of Time",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet estimates the values that vehicle users and transit users place on an hour of time spent traveling. (For vehicles, it estimates the values of \"vehicle-hours\" and thus encompasses passengers in addition to drivers, as well as the implied value of cargo in the case of trucks.) ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4},null,"“I put a dollar value on my time, too, so the time I’m not commuting I’m getting back.”"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5},null,"Health-care worker Dupe Ajayi, explaining that her shorter commute from moving to a Brooklyn neighborhood with better transit service is well worth the higher rent."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"The resuting figures will have four uses: (i) placing a monetary value on increases in travel speeds for vehicle users attributable to traffic-pricing (see Results and Cost-Benefit worksheets); (ii) placing a value on expenditures and investments that improve travel times for transit users (also see Results and Cost-Benefit sheets); ; (iii) calculating current costs of delays due to adding an incremental or \"marginal\" vehicle to the traffic mix (see various Delays worksheets; and (iv) estimating the extent to which drivers' travel-time savings will offset their toll costs (see Breakeven worksheet).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7},null,"Here's entire passage, from Winnie Hu's 31-Jan-2018 NY Times story, \"For Health Care Workers, the Worst Commutes in New York City\" <https://www.nytimes.com/2018/01/31/nyregion/health-care-worker-commutes.html>:"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10},null,"\"Dupe Ajayi used to start her day with an hour-and-a-half commute on three subway trains from her home in the Bronx to Maimonides Medical Center in Brooklyn. Then it was another hour and a half at the end of the day. Finally, she had enough and moved to Brooklyn, paying $500 more a month in rent. Her commute is now 45 minutes each way on two subway trains.\""]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"The \"root\" time-value for our estimates is an estimate by two widely published transportation specialists from Northeastern University and the Brookings Institution, of the value of air travelers' time, which they developed for a Dec. 2007 study of air traffic delays for the NYC Comptroller's Office. (All documents are referenced below.) Their value, approximately $48 per hour in 2005 dollars, has been (i) updated here to 2019 dollars, (ii) adjusted from national averages to the NYC area, and (iii) modified to reflect different values of time for different types of road users in and en route to the Manhattan Central Business District. For example, we impute a time value of 3/4, relative to air travelers, for a driver commuting to work in the CBD; a time value of 3/8 for an individual driving into the CBD for non-work purposes; a 9/10 factor for users of medallion taxis; lesser values for passengers, etc.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,"To estimate the value of time savings for vehicle users, we weight each vehicle type's value of time by its share of the mix of traffic, with one set of calculations for CBD travel, and another for non-CBD travel. The resulting weighted averages are then applied elsewhere in the BTA, especially in the Cost-Benefit worksheet where the savings from re-optimizing traffic are calculated, and in the various Delay worksheets where the delay costs from incremental vehicles are calculated.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Part 1: Value of an hour of saved time for airline passengers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Median Value (2005 $/hour) (from Brookings study, see below)",null,null,null,null,null,47.97,null,null,null,null,null,null,{"$f":"ROW()","v":25}]
[null,"This is a nationwide figure. In Part 2, we adjust for NYC-area air passengers.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Inflation adjustment, 2005 to 2019",null,null,null,null,null,{"$f":"CPI_2019/CPI_2005","v":1.3114651305683562},null,null,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Calculated as ratio of 2019-average to 2005-average Consumer Price Index, shown in \"Constants\" tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Median Value (2019 $/hour)",null,null,null,null,null,{"$f":"H25*H27","v":62.910982313364045},null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Median value of airline passengers' time (first row in block of rows above) was estimated in \"Grounded: The Impact of Mounting Flight Delays on New York City's Economy and Environment,\" Office of the New York City Comptroller, Dec. 2007. Page 18 of that report states: \"In a soon-to-be published study of the economic impact of airport congestion, economists Steven A. Morrison and Clifford Winston have estimated that for pleasure and business travelers, “passengers’ values of time in 2005 dollars ranged from $27.13 to $79.16 per hour with a median of $47.97.” ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"A preliminary version of the study, published in Aug. 2006 as \"Another Look at Airport Congestion Pricing,\" by Steven A. Morrison, Northeastern Univ., & Clifford Winston, Brookings Institution, is available at <https://www.jstor.org/stable/30034594?seq=1#page_scan_tab_contents>. They wrote, at p. 9:",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"\"Passengers’ time costs depend on their value of travel time, which varies by trip purpose, and the number of passengers on each flight. For each of the airports in our sample, we used the U.S. Department of Transportation’s National Household Travel Survey to calculate the percentage of trips whose purpose was business and the percentage whose purpose was pleasure and the average household income for business and pleasure travelers. Consistent with the U.S. Department of Transportation’s (1997) guidelines, we value business travelers’ travel time at 100 percent of the wage and pleasure travelers’ travel time at 70 percent of the wage. Passengers’ values of time in 2005 dollars ranged from $27.13 to $79.16 per hour with a median of $47.97.\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"See Part 8 of this worksheet for details on the USDOT guidelines.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,"Part 2: Adjust U.S. airline passengers' value of saved time to NYC region ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":45}]
[null,"The median values above apply to the 74 airports in the Morrison-Winston study (see Table 1). Here, we adjust that average to the NYC metro region.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":47}]
[null,"Mean Hourly Earnings, All workers, U.S., Dec. 2007 - Jan. 2009 (mean ref. date: July 2008)",null,null,null,null,null,20.62,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"http://www.bls.gov/ncs/ocs/sp/nctb0715.txt (Bureau of Labor Statistics, National Compensation Survey)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49}]
[null,"Mean Hourly Earnings, New York-Newark-Bridgeport, NY-NJ-CT-PA CSA, same time period",null,null,null,null,null,26.09,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"http://www.bls.gov/ncs/ocs/sp/ncbl1197.txt (Bureau of Labor Statistics, National Compensation Survey)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Ratio, NYC-area wage rates to US average",null,null,null,null,null,{"$f":"H50/H48","v":1.2652764306498545},null,null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,"Adjustment factor used here (above ratio, rounded down for conservatism)",null,null,null,null,null,{"$f":"(ROUNDDOWN(100*H52,-1))/100","v":1.2},null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Median Value for NYC-area airline passengers (2019 $/hour)",null,null,null,null,null,{"$f":"H29*H53","v":75.493178776036856},null,null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,{"$f":"CONCATENATE(\"Product of U.S. median value in Row \",O29, \" and US-to-NYC adjustment factor in Row \",O53, \".\")","v":"Product of U.S. median value in Row 29 and US-to-NYC adjustment factor in Row 53."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"Part 3: Basic Parameters for Time Value, Vehicle Occupancy, etc. for vehicle travel within the Manhattan Central Business District",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,"Figures in this column were used until Feb-2011","Driver's Time Value, vis-à-vis air passenger","Passenger Value, vis-à-vis driver of the vehicle","Time Value, relative to an auto-work driver","Number of passengers other than driver","(2019 $) Time Value of driver ","(2019 $) Time Value of passengers","(2019 $) Time Value of vehicle-hr",null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"Auto work-trip",null,null,0.75,{"$f":"1/2","v":0.5},{"$f":"3/4","v":0.75},null,{"$f":"H.I.S.!$G$125-1","v":0.14999999999999991},{"$f":"F62*$H$54","v":37.746589388018428},{"$f":"G62*I62*J62","v":4.2464913061520706},{"$f":"J62+K62","v":41.993080694170501},null,null,{"$f":"ROW()","v":62}]
[null,"Auto non-work-trip",null,null,{"$f":"0.5*E62","v":0.375},{"$f":"0.5*F62","v":0.25},{"$f":"2/3*G62","v":0.5},null,{"$f":"H.I.S.!$H$125-1","v":0.5},{"$f":"F63*$H$54","v":18.873294694009214},{"$f":"G63*I63*J63","v":4.7183236735023035},23.591618367511519,null,null,{"$f":"ROW()","v":63}]
[null,"Auto thru-trip",null,null,{"$f":"AVERAGE(E62:E63)","v":0.5625},{"$f":"AVERAGE(F62:F63)","v":0.375},{"$f":"AVERAGE(G62:G63)","v":0.625},null,{"$f":"AVERAGE(I62:I63)","v":0.32499999999999996},{"$f":"F64*$H$54","v":28.309942041013819},{"$f":"G64*I64*J64","v":5.7504569770809315},34.060399018094749,null,null,{"$f":"ROW()","v":64}]
[null,"Van or small truck",null,null,null,null,null,2,"passngers are encompassed in figs to left",{"$f":"H65*J62","v":75.493178776036856},null,75.493178776036856,null,null,{"$f":"ROW()","v":65}]
[null,"Large truck",null,null,null,null,"Bus pass. v. airline pass.",2.5,null,{"$f":"H66*J62","v":94.366473470046074},null,94.366473470046074,null,null,{"$f":"ROW()","v":66}]
[null,"Big Rig (18-wheeler)",null,null,null,null,null,5,null,{"$f":"H67*J62","v":188.73294694009215},null,188.73294694009215,null,null,{"$f":"ROW()","v":67}]
[null,"Bus",null,null,0.5,{"$f":"1/2","v":0.5},0.15,{"$f":"CONCATENATE(\"Bus passgr's time is thus valued at \",100*G68/F62, \"% of a car commuter's.\")","v":"Bus passgr's time is thus valued at 30% of a car commuter's."},20,{"$f":"F68*$H$54","v":37.746589388018428},{"$f":"G68*I68*$H$54","v":226.47953632811056},264.22612571612899,null,null,{"$f":"ROW()","v":68}]
[null,"FHV (taxi, Uber, etc.) (first entry refers to first passenger)",null,null,0.9,{"$f":"ROUND(2/3*1000000000000,-10)/1000000000000","v":0.67},{"$f":"3/4","v":0.75},null,{"$f":"Taxis!$L$74-1","v":0.39999999999999991},{"$f":"F69*$H$54","v":50.580429779944694},{"$f":"G69*I69*J69","v":15.174128933983406},65.754558713928105,null,null,{"$f":"ROW()","v":69}]
[null,"FHV, cruising",null,null,{"$f":"1/4","v":0.25},0.2,"2nd taxi pass. v. 1st.",null,null,{"$f":"F70*$H$54","v":15.098635755207372},0,15.098635755207372,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"All time values relative to air passenger are Komanoff assumptions. See Taxis worksheet for data on taxi passenger income levels.",null,null,null,null,null,null,null,"Implied per-hour value of bus passengers' time:",null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Passenger numbers per vehicle are from H.I.S. worksheet (for auto work and non-work trips) and Taxis worksheet (for medallion taxis). Auto thru-trip is mean of auto work and auto non-work. Bus is Komanoff assumption.",null,null,null,null,null,null,null,null,null,{"$f":"K68/I68","v":11.323976816405528},null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,{"$f":"CONCATENATE(\"Bizarre formula in Cell F\",O69, \" (multiplying by one trillion, rounding, and then dividing by one trillion) allows cell reference in 'Assumptions' worksheet, Row \",Assumptions!L771, \" to be limited to two decimal places.\")","v":"Bizarre formula in Cell F69 (multiplying by one trillion, rounding, and then dividing by one trillion) allows cell reference in 'Assumptions' worksheet, Row 771 to be limited to two decimal places."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Part 4: Apportion VMT within the Manhattan CBD by Vehicle Type and Calculate Weighted Average Value of CBD Travel Time",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,"VMT (Baseline)",null,null,null,null,null,null,null,null,"% of CBD VMT ","Value of veh-hour","Value of veh-hour, cars only",{"$f":"ROW()","v":79}]
[null,"In-Cordon Weekday VMT",null,"Thru-Trips (#, not VMT)",null,null,"VMT w/ Thru Trips Assigned",null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Work trips (car)",{"$f":"'Motor Vs'!W968","v":524173.03784578131},{"$f":"D87-SUM(D84:D86)","v":95000},{"$f":"D81/$D$87","v":0.94527363184079605},null,"Car work",{"$f":"C81","v":524173.03784578131},{"$f":"H81/$H$87","v":0.17347478042811521},null,"Car work",{"$f":"I81","v":0.17347478042811521},{"$f":"L62","v":41.993080694170501},null,{"$f":"ROW()","v":81}]
[null,"Non-work trips (car)",{"$f":"'Motor Vs'!AF968","v":422014.66185085394},null,null,null,"Car non-wk",{"$f":"C82","v":422014.66185085394},0.13966552171949217,null,"Car non-wk",{"$f":"I82","v":0.13966552171949217},23.591618367511519,"(Is used for a calc. in Sub vs. Bus sheet, and has interest for illustrative purposes.)",{"$f":"ROW()","v":82}]
[null,"Through trips ",{"$f":"'Motor Vs'!AO968","v":253033.68780613685},null,null,null,"Car thru",{"$f":"C83*E81","v":239186.07305057714},7.9158500167114107E-2,null,"Car thru-trip",{"$f":"I83","v":7.9158500167114107E-2},34.060399018094749,null,{"$f":"ROW()","v":83}]
[null,"FHV's",{"$f":"'Motor Vs'!AX968+'Motor Vs'!BP968","v":1531060.6114769536},0,{"$f":"D84/$D$87","v":0},null,"FHV",{"$f":"C84","v":1531060.6114769536},0.50670367268345362,null,"Van / small truck",{"$f":"J89*$I$85","v":6.5761176981802727E-2},75.493178776036856,null,{"$f":"ROW()","v":84}]
[null,"Trucks",{"$f":"(35000/'Motor Vs'!M$35)*('Motor Vs'!BG$968)","v":221181.37055687644},{"$f":"'Motor Vs'!$M$44-'Motor Vs'!$M$85-500","v":5000},{"$f":"D85/$D$87","v":4.975124378109453E-2},null,"Truck",{"$f":"C85+E85*$C$83","v":233770.11124374892},7.7366090566826723E-2,null,"Large truck",{"$f":"G89*$I$85","v":7.7366090566826726E-3},94.366473470046074,null,{"$f":"ROW()","v":85}]
[null,"Buses",{"$f":"(11100/'Motor Vs'!M$35)*('Motor Vs'!BG$968)","v":70146.091805180811},500,{"$f":"D86/$D$87","v":4.9751243781094526E-3},null,"Bus",{"$f":"C86+E86*$C$83","v":71404.965873868059},2.3631434434998027E-2,null,"Big Rig",{"$f":"E89*$I$85","v":3.8683045283413363E-3},188.73294694009215,null,{"$f":"ROW()","v":86}]
[null,"Total",{"$f":"SUM(C81:C86)","v":3021609.4613417834},{"$f":"'Motor Vs'!$K$85","v":100500},null,null,"Total",{"$f":"SUM(H81:H86)","v":3021609.4613417834},{"$f":"SUM(I81:I86)","v":0.99999999999999989},null,"Bus",{"$f":"I86","v":2.3631434434998027E-2},264.22612571612899,null,{"$f":"ROW()","v":87}]
[null,null,null,null,null,null,null,null,null,null,"FHV, occup.",{"$f":"I84*G90","v":0.35469257087841749},65.754558713928105,null,{"$f":"ROW()","v":88}]
[null,"Further division of trucks into three subgroups: ",null,"Big rigs:",0.05,"Large:",0.1,null,"Van/small trucks:",{"$f":"1-E89-G89","v":0.85},"FHV, cruis.",{"$f":"I84*E90","v":0.15201110180503608},15.098635755207372,null,{"$f":"ROW()","v":89}]
[null,"Further division of FHVs into two subgroups: ",null,"Cruising: ",0.3,"Occupied:",{"$f":"1-E90","v":0.7},"Cruising % modified from Taxis worksheet.",null,null,"Total",{"$f":"SUM(L81:L89)","v":0.99999999999999978},{"$f":"SUMPRODUCT(L81:L89,M81:M89)","v":51.56237565878903},{"$f":"SUMPRODUCT(M81:M83,L81:L83)/SUM(L81:L83)","v":33.841159247644832},{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,{"$f":"CONCATENATE(\"Vehicle Miles Traveled are final (not baseline) figures and are from 'Motor Vs' worksheet, Row \",'Motor Vs'!O968, \".\")","v":"Vehicle Miles Traveled are final (not baseline) figures and are from 'Motor Vs' worksheet, Row 968."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Through-trips are subdivided to allocate truck and bus through-trips. Percents in first box are multiplied by through-trips VMT, and the products are applied to each category in second box.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Part 5: Basic Parameters for Time Value, Vehicle Occupancy, etc. for vehicle travel outside the Manhattan Central Business District",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,null,null,null,null,"Driver's Time Value, vis-à-vis air passenger","Passenger Value, vis-à-vis driver of the vehicle","Time Value, relative to an auto-work driver","Number of passengers other than driver","(2019 $) Time Value of driver ","(2019 $) Time Value of passengers","(2019 $) Time Value of vehicle-hr",null,null,{"$f":"ROW()","v":96}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":97}]
[null,null,null,"Van-Truck-Rig",null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,"Autos",null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"Auto work-trip","Nominal ratio, non-CBD to CBD values","Nominal ratio, non-CBD to CBD values",null,{"$f":"$C$104*F62","v":0.33333333333333331},{"$f":"G62","v":0.75},null,{"$f":"H.I.S.!$G$125-1","v":0.14999999999999991},{"$f":"F100*$H$54","v":25.164392925345616},{"$f":"G100*I100*J100","v":2.8309942041013803},{"$f":"J100+K100","v":27.995387129446996},null,null,{"$f":"ROW()","v":100},"Ratio at left applies to all travelers except bus drivers and medallion taxi passengers."]
[null,"Auto non-work-trip",null,null,null,{"$f":"0.5*F100","v":0.16666666666666666},{"$f":"G63","v":0.5},null,{"$f":"H.I.S.!$H$125-1","v":0.5},{"$f":"F101*$H$54","v":12.582196462672808},{"$f":"G101*I101*J101","v":3.1455491156682021},15.727745578341011,null,null,{"$f":"ROW()","v":101}]
[null,"Auto thru-trip",null,null,null,{"$f":"AVERAGE(F100:F101)","v":0.25},{"$f":"AVERAGE(G100:G101)","v":0.625},null,{"$f":"AVERAGE(I100:I101)","v":0.32499999999999996},{"$f":"F102*$H$54","v":18.873294694009214},{"$f":"G102*I102*J102","v":3.833637984720621},22.706932678729835,null,null,{"$f":"ROW()","v":102}]
[null,"Van or small truck",null,null,null,null,null,{"$f":"H65*$D$104/$C$104","v":2.7},null,{"$f":"H103*J100","v":67.943860898433172},null,67.943860898433172,null,null,{"$f":"ROW()","v":103}]
[null,"Large truck",{"$f":"2/3","v":0.66666666666666663},0.9,null,null,"Bus pass. v. airline pass.",{"$f":"H66*$D$104/$C$104","v":3.375},null,{"$f":"H104*J100","v":84.929826123041451},null,84.929826123041451,null,null,{"$f":"ROW()","v":104}]
[null,"Big Rig (18-wheeler)","(Komanoff)","(Komanoff)",null,null,null,{"$f":"H67*$D$104/$C$104","v":6.75},null,{"$f":"H105*J100","v":169.8596522460829},null,169.8596522460829,null,null,{"$f":"ROW()","v":105}]
[null,"Bus",null,null,null,{"$f":"F68","v":0.5},{"$f":"G68","v":0.15},{"$f":"CONCATENATE(\"Values above prorate Rows \",O65, \"-\",O67, \" values by ratio of Col. D to Col. C factors in Row \",O104, \".\")","v":"Values above prorate Rows 65-67 values by ratio of Col. D to Col. C factors in Row 104."},20,{"$f":"F106*$H$54","v":37.746589388018428},{"$f":"C104*G106*I106*$H$54","v":150.98635755207368},188.73294694009212,null,null,{"$f":"ROW()","v":106}]
[null,"FHV (taxi, Uber, etc.) (first entry refers to first passenger)",null,null,null,{"$f":"F69","v":0.67},{"$f":"3/4","v":0.75},null,{"$f":"Taxis!$L$74-1","v":0.39999999999999991},{"$f":"F107*$H$54","v":50.580429779944694},{"$f":"G107*I107*J107","v":15.174128933983406},65.754558713928105,null,null,{"$f":"ROW()","v":107}]
[null,"FHV, cruising",null,null,null,{"$f":"F70","v":0.2},"2nd taxi pass. v. 1st.",null,null,{"$f":"F108*$H$54","v":15.098635755207372},0,15.098635755207372,null,null,{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109}]
[null,"Notes from Part 2 apply here.",null,null,null,null,null,null,null,"Implied per-hour value of bus passengers' time:",null,null,null,null,{"$f":"ROW()","v":110}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"K106/I106","v":7.5493178776036842},null,null,{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112}]
[null,"Part 6: Apportion VMT outside the Manhattan CBD by Vehicle Type and Calculate Weighted Average Value of non-CBD Travel Time",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114}]
[null,null,"VMT (Baseline)",null,null,null,null,null,null,null,null,"% of non-CBD VMT ","Value of veh-hour",null,{"$f":"ROW()","v":115}]
[null,"In-Cordon Weekday VMT",null,"Thru-Trips (#, not VMT)",null,null,"VMT w/ Thru Trips Assigned",null,null,null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,"Work trips (car)",{"$f":"'Motor Vs'!W184","v":22315887.325495116},{"$f":"D123-SUM(D120:D122)","v":95000},{"$f":"D117/$D$87","v":0.94527363184079605},null,"Car work",{"$f":"C117","v":22315887.325495116},{"$f":"H117/$H$123","v":0.38625396864929434},null,"Car work",{"$f":"I117","v":0.38625396864929434},{"$f":"L100","v":27.995387129446996},null,{"$f":"ROW()","v":117}]
[null,"Non-work trips (car)",{"$f":"'Motor Vs'!AF184","v":15691321.748143887},null,null,null,"Car non-wk",{"$f":"C118","v":15691321.748143887},0.27159284370688092,null,"Car non-wk",{"$f":"I118","v":0.27159284370688092},15.727745578341011,null,{"$f":"ROW()","v":118}]
[null,"Through trips ",{"$f":"'Motor Vs'!AO184","v":14905272.549040269},null,null,null,"Car thru",{"$f":"C119*E117","v":14089561.116008215},0.24386881051184955,null,"Car thru-trip",{"$f":"I119","v":0.24386881051184955},22.706932678729835,null,{"$f":"ROW()","v":119}]
[null,"FHV's",{"$f":"'Motor Vs'!AX184+'Motor Vs'!BP184","v":1158960},0,{"$f":"D120/$D$87","v":0},null,"FHV",{"$f":"C120","v":1158960},2.0059829706809754E-2,null,"Van / small truck",{"$f":"J125*$I$121","v":5.2279732786826447E-2},67.943860898433172,null,{"$f":"ROW()","v":120}]
[null,"Trucks",{"$f":"(35000/'Motor Vs'!M$35)*('Motor Vs'!BG$184)","v":2811938.5788688324},{"$f":"'Motor Vs'!$M$44-'Motor Vs'!$M$85-500","v":5000},{"$f":"D121/$D$87","v":4.975124378109453E-2},null,"Truck",{"$f":"C121+E121*$C$119","v":3553494.4270797912},6.1505567984501706E-2,null,"Large truck",{"$f":"G125*$I$121","v":6.1505567984501712E-3},84.929826123041451,null,{"$f":"ROW()","v":121}]
[null,"Buses",{"$f":"(11100/'Motor Vs'!M$35)*('Motor Vs'!BG$184)","v":891786.23501268693},500,{"$f":"D122/$D$87","v":4.9751243781094526E-3},null,"Bus",{"$f":"C122+E122*$C$119","v":965941.81983378273},1.6718979440663688E-2,null,"Big Rig",{"$f":"E125*$I$121","v":3.0752783992250856E-3},169.8596522460829,null,{"$f":"ROW()","v":122}]
[null,"Total",{"$f":"SUM(C117:C122)","v":57775166.436560802},{"$f":"'Motor Vs'!$K$85","v":100500},null,null,"Total",{"$f":"SUM(H117:H122)","v":57775166.436560795},{"$f":"SUM(I117:I122)","v":0.99999999999999989},null,"Bus",{"$f":"I122","v":1.6718979440663688E-2},188.73294694009212,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,"FHV, occup.",{"$f":"I120*G126","v":1.4041880794766827E-2},65.754558713928105,null,{"$f":"ROW()","v":124}]
[null,"Further division of trucks into three subgroups: ",null,"Big rigs:",0.05,"Large:",0.1,null,"Van/small trucks:",{"$f":"1-E125-G125","v":0.85},"FHV, cruis.",{"$f":"I120*E126","v":6.017948912042926E-3},15.098635755207372,null,{"$f":"ROW()","v":125}]
[null,"Further division of taxis into two subgroups: ",null,"Cruising: ",0.3,"Occupied:",{"$f":"1-E126","v":0.7},"Cruising % modified from Taxis worksheet.",null,null,"Total",{"$f":"SUM(L117:L125)","v":0.99999999999999989},{"$f":"SUMPRODUCT(L117:L125,M117:M125)","v":29.388806276713776},null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,{"$f":"CONCATENATE(\"Baseline Vehicle Miles Traveled is from 'Motor Vs' worksheet, Row \",'Motor Vs'!O184, \".\")","v":"Baseline Vehicle Miles Traveled is from 'Motor Vs' worksheet, Row 184."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,"Through-trips are subdivided to allocate truck and bus through-trips. Percents in first box are multiplied by through-trips VMT, and the products are applied to each category in second box.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,"Other (PATH, Paratransit, Private Bus, Suburban bus lines)",null,null,null,{"$f":"ROW()","v":130}]
[null,"Part 7: Derivation of value of an hour of saved time for transit users",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,null,null,null,"Auto (Driver or Passng'r)","Taxi or Car Service User","Subway User (only)","Subway & Bus User","Bus User (only)","Commuter Rail",null,null,null,null,{"$f":"ROW()","v":133}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"NYC Travelers Median HH Income, by Mode (2008 basis)",null,null,72200,84600,58300,46300,39600,96500,33700,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,"Source: MTA \"Customer Travel Survey,\" 2008. Results published: June 17, 2009. Available at http://web.mta.info/mta/planning/docs/MTA%20Travel%20Survey_061709.ppt",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,"Inflation adjustment, 2008 to 2019",null,null,null,null,null,{"$f":"CPI_2019/CPI_2008","v":1.189621788827838},null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,"Calculated as ratio of 2019-average to 2008-average Consumer Price Index, shown in \"Constants\" tab.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"NYC Travelers Median HH Income, by Mode (2019 basis)",null,null,{"$f":"ROUND(E135*$H$138,-2)","v":85900},100600,69400,55100,47100,114800,40100,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,"W E E K D A Y S",null,null,null,null,"W E E K E N D S",null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Hourly value of in-CBD time for auto user, weekday",null,null,"Work Trip","Non-wk Trip","Thru Trip","Wghtd Avg",null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,null,null,null,{"$f":"J62","v":37.746589388018428},{"$f":"J63","v":18.873294694009214},{"$f":"J64","v":28.309942041013819},{"$f":"SUMPRODUCT(E144:G144,'Motor Vs'!I85:K85)/SUM('Motor Vs'!I85:K85)","v":29.613830208160259},null,{"$f":"'Cost-Benefit'!$M$126*E144","v":22.647953632811056},{"$f":"'Cost-Benefit'!$M$126*F144","v":11.323976816405528},{"$f":"'Cost-Benefit'!$M$126*G144","v":16.98596522460829},{"$f":"SUMPRODUCT(J144:L144,'Motor Vs Weekends'!N85:P85)/SUM('Motor Vs Weekends'!N85:P85)","v":22.630090813299237},null,{"$f":"ROW()","v":144}]
[null,null,null,null,{"$f":"CONCATENATE(\"Copied from Cells J\",O62, \", J\",O63, \" and J\",O64, \".\")","v":"Copied from Cells J62, J63 and J64."},null,null,null,null,{"$f":"CONCATENATE(\"Applies weekend/weekday ratio from 'Cost-Benefit' tab, Cell M \",'Cost-Benefit'!O126, \" to cells in Weekday array here.\")","v":"Applies weekend/weekday ratio from 'Cost-Benefit' tab, Cell M 126 to cells in Weekday array here."},null,null,null,null,{"$f":"ROW()","v":145}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,{"$f":"CONCATENATE(\"Weighted Avgs apply respective # of weekday trips into cordon from Row \",'Motor Vs'!O90, \" of 'Motor Vs' and 'Motor Vs Weekends tabs.\")","v":"Weighted Avgs apply respective # of weekday trips into cordon from Row 90 of 'Motor Vs' and 'Motor Vs Weekends tabs."},null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,"W E E K D A Y S",null,null,null,null,"W E E K E N D S",null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,"Subway","Subway/Bus","Bus",null,null,"Subway","Subway/Bus","Bus",{"$f":"ROW()","v":149}]
[null,"Hourly value of in-CBD time for transit user, weekday",null,null,null,null,{"$f":"$H$144*G140/$E$140","v":23.925492624520629},{"$f":"$H$144*H140/$E$140","v":18.995600052032948},{"$f":"$H$144*I140/$E$140","v":16.23761819329858},null,null,{"$f":"$M$144*G140/$E$140","v":18.283216559289489},{"$f":"$M$144*H140/$E$140","v":14.515925539147707},{"$f":"$M$144*I140/$E$140","v":12.40835014326419},{"$f":"ROW()","v":150}]
[null,null,null,null,{"$f":"CONCATENATE(\"Prorates Cell H\",O144, \" by ratios of respective values in Row \",O140, \" to Cell E\", O140, \".\")","v":"Prorates Cell H144 by ratios of respective values in Row 140 to Cell E140."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Prorates Cell N\",O144, \" by ratios of resp. #'s in Row \",O140, \" to Cell E\", O140, \".\")","v":"Prorates Cell N144 by ratios of resp. #'s in Row 140 to Cell E140."},{"$f":"ROW()","v":151}]
[null,"Hourly value of out-CBD time for transit user, weekday",null,null,null,null,{"$f":"$C$104*G150","v":15.950328416347086},{"$f":"$C$104*H150","v":12.663733368021965},{"$f":"$C$104*I150","v":10.825078795532386},null,null,{"$f":"$C$104*L150","v":12.188811039526325},{"$f":"$C$104*M150","v":9.6772836927651369},{"$f":"$C$104*N150","v":8.2722334288427923},{"$f":"ROW()","v":152}]
[null,null,null,null,{"$f":"CONCATENATE(\"Applies Cell C\",O104, \" to respective values in Row \",O150, \".\")","v":"Applies Cell C104 to respective values in Row 150."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Applies Cell C\",O104, \" to respective values in Row \",O150, \".\")","v":"Applies Cell C104 to respective values in Row 150."},{"$f":"ROW()","v":153}]
[null,null,null,null,null,null,"Subway",null,"Bus",null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Hourly values of time for transit users, wghtd for in/out CBD and wkday/wknd",null,null,null,null,{"$f":"G150*Subways!$W$5*'Cost-Benefit'!$I$171+G152*Subways!$W$5*(1-'Cost-Benefit'!$I$171)+L150*(1-Subways!$W$5)*'Cost-Benefit'!$I$171++L152*(1-Subways!$W$5)*(1-'Cost-Benefit'!$I$171)","v":17.529181623641431},null,{"$f":"I150*Subways!$W$5*'Cost-Benefit'!$I$142+I152*Subways!$W$5*(1-'Cost-Benefit'!$I$142)+N150*(1-Subways!$W$5)*'Cost-Benefit'!$I$142++N152*(1-Subways!$W$5)*(1-'Cost-Benefit'!$I$142)","v":11.379362234317286},null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"Each figure uses the four applicable hourly rates from Rows \",O150, \" and \",O152, \", along with in/out CBD percentages from 'Cost-Benefit' tab and wkday/wknd usage weights from 'Subways' tab.\")","v":"Each figure uses the four applicable hourly rates from Rows 150 and 152, along with in/out CBD percentages from 'Cost-Benefit' tab and wkday/wknd usage weights from 'Subways' tab."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":157}]
[null,"Part 8: Further documentation for deriving value of an hour of saved time for airline passengers",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"The US DOT 1997 guidelines document on which the Morrison-Winston figures are based are contained in the document, The Value of Saving Travel Time: Departmental Guidance for Conducting Economic Evaluations, <http://ostpxweb.dot.gov/policy/Data/VOT97guid.pdf>. The following excerpts are from p. 3 of doc (4 of 33):",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":159}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,"Briefly, the values adopted herein are: 50 percent of the wage for all local personal travel, regardless of the mode employed, 70 percent of the wage for all intercity personal travel, and 100 percent of the wage (plus fringe benefits) for all local and intercity business travel, including travel by truck drivers. These figures are a synthesis of mode-specific and distance-specific values and are broadly consistent with the empirical research. In special cases where out-of-vehicle time (access, waiting, and transfer time) on transit trips is isolated as an object of analysis, the value of 100 percent of the wage is adopted.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":164}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":166}]
[null,"The hourly wages to which they are applied are derived from several sources. For personal travel by surface modes, the standard adopted is median annual household income, as reported by the Bureau of the Census, divided by 2,000 hours. This figure amounted to $17.00 in 1995. For business travel, the source employed was employee compensation figures supplied by the Bureau of Labor Statistics. For all surface travelers on business except truck drivers, the hourly wage figure, including the hourly value of fringe benefits, was $18.80. Truck drivers received combined wages and benefits of $16.50. Because air travel is a higher-cost service used by higher-income passengers, incomes were based on a survey by the Air Transport Association yielding figures of $27.80 for personal travel and $34.50 for business travel. In special cases where general aviation travelers represent a large share of the affected traffic, a weighted average income may be used, incorporating the wage of $37.50 for these travelers. This figure is derived from a survey of its members by the Aircraft Owners and Pilots Association (AOPA).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":168}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":173}]
[null,"The hourly values of time corresponding to these percentages and hourly wage rates are: $8.50 for personal local travel by all modes, $11.90 for personal intercity surface travel; $18.80 for business surface travel; $16.50 for truck drivers; $19.50 for personal air travel; and $34.50 for business air travel. The Office of the Assistant Secretary for Transportation Policy will publish periodic revisions of these figures, based on income data from the Bureau of the Census, the Bureau of Labor Statistics and the Air Transport Association.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]

{"sheet":"Constants","index":69,"n_rows":92,"n_cols":15,"rows_kept":92,"cut":false,"hidden":false,"merged":[[2,1,3,9],[25,5,28,8],[32,10,35,12]]}
[null,"Constants",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"This worksheet compiles numerical parameters (constants) that figure in the various analyses in this spreadsheet. It also includes important and helpful facts about NYC transportation -- baseline (2008) values.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"Day-to-Year Multiplier (ratio of annual travel volumes to weekday)",null,null,null,null,null,null,null,330,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"Day-to-Year Multiplier for typical cycling VMT per day",null,null,null,null,null,null,null,365,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"Pounds of Carbon per pound of Carbon Dioxide (CO2)",null,null,null,null,null,null,null,{"$f":"12/44","v":0.27272727272727271},null,null,null,null,{"$f":"ROW()","v":8}]
[null,"Feet per mile",null,null,null,null,null,null,null,5280,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Square feet per acre",null,null,null,null,null,null,null,{"$f":"J9*J9/640","v":43560},null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Pounds of Carbon Dioxide (CO2) per gallon of gasoline combusted",null,null,null,null,null,null,null,19.63,null,null,null,null,{"$f":"ROW()","v":11}]
[null,"Standard literature value; to be sourced via other CK spreadsheets.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Grams per pound",null,null,null,null,null,null,null,453.6,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"tons per tonne",null,null,null,null,null,null,null,{"$f":"1000000/(J13*2000)","v":1.1022927689594357},null,null,null,null,{"$f":"ROW()","v":14}]
[null,"Kilograms of Carbon Dioxide (CO2) per gallon of gasoline combusted",null,null,null,null,null,null,null,{"$f":"J11*J13/1000","v":8.9041680000000003},null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Gallons per barrel",null,null,null,null,null,null,null,42,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Acres per square mile",null,null,null,null,null,null,null,640,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"(from CK's ICCT work in Calif.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Day-to-Year Multiplier ",null,null,null,null,null,null,null,365.25,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Subtract weekends",null,null,null,null,null,null,null,{"$f":"2/7*J20","v":104.35714285714285},null,null,null,null,{"$f":"ROW()","v":21}]
[null,"Subtract holidays (Komanoff counted 10)",null,null,null,null,null,null,null,10,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Day-to-Year Multiplier (number of weekdays in a year)",null,null,null,null,null,null,null,{"$f":"J20-J21-J22","v":250.89285714285717},null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Round to",null,null,null,null,null,null,null,{"$f":"ROUND(J23,-1)","v":250},null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Weekdays per month",null,null,null,null,null,null,null,{"$f":"weekday_per_yr/12","v":20.833333333333332},null,null,null,null,{"$f":"ROW()","v":25}]
[null,"Weekend days and holidays per year (rounded)",null,null,null,{"$f":"CONCATENATE(\"Value in Cell J\",O29, \" rather than J\",O28, \" is used in transit analysis to adjust for NYCT's convention that excludes major holidays in calculating Sunday-Holidays average ridership. \" & \"See text box in 'Subways' tab, Columns Q-W, Rows \",Subways!O13, \"-\",Subways!O17, \" for details.\" )","v":"Value in Cell J29 rather than J28 is used in transit analysis to adjust for NYCT's convention that excludes major holidays in calculating Sunday-Holidays average ridership. See text box in 'Subways' tab, Columns Q-W, Rows 13-17 for details."},null,null,null,{"$f":"ROUND(J20-J24,0)","v":115},null,null,null,null,{"$f":"ROW()","v":26}]
[null,"of which Saturdays are",null,null,null,null,null,null,null,52,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"and Sundays and Holidays are",null,null,null,null,null,null,null,{"$f":"wkend_per_yr-J27","v":63},null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Sundays and Holidays for transit analysis",null,null,null,null,null,null,null,58,null,null,null,null,{"$f":"ROW()","v":29}]
[null,"Weekend days alone (w/o holidays that fall on weekdays)",null,null,null,null,null,null,null,{"$f":"2*J27","v":104},null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Weekend days and holidays per month",null,null,null,null,null,null,null,{"$f":"wkend_per_yr/12","v":9.5833333333333339},null,null,null,null,{"$f":"ROW()","v":31}]
[null,"Hours per day",null,null,null,null,null,null,null,24,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Weekdays in first six months 2017 (includes holidays that fall on weekdays)",null,null,null,null,null,null,null,131,"Values at left are from http://www.easysurf.cc/wdate2.htm",null,null,null,{"$f":"ROW()","v":33}]
[null,"Weekend days in first six months 2017 (excludes holidays that fall on weekdays)",null,null,null,null,null,null,null,50,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Weekdays in first six months 2018 (includes holidays that fall on weekdays)",null,null,null,null,null,null,null,130,null,null,null,null,{"$f":"ROW()","v":35}]
[null,"Weekend days in first six months 2017 (excludes holidays that fall on weekdays)",null,null,null,null,null,null,null,51,null,null,null,null,{"$f":"ROW()","v":36}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Consumer Price Index, \"All Urban Consumers,\" 1982-84=100. Accessed via https://data.bls.gov/cgi-bin/surveymost, then go to Data Tools.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,1980,82.4,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,1981,90.9,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,1982,96.5,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,1983,99.6,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,1984,103.9,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,null,null,1985,107.6,null,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,1986,109.6,null,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,1987,113.6,null,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,1988,118.3,null,null,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,null,null,null,null,1989,124,null,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,1990,130.69999999999999,null,null,null,null,{"$f":"ROW()","v":50}]
[null,null,null,null,null,null,null,null,1991,136.19999999999999,null,null,null,null,{"$f":"ROW()","v":51}]
[null,null,null,null,null,null,null,null,1992,140.30000000000001,null,null,null,null,{"$f":"ROW()","v":52}]
[null,null,null,null,null,null,null,null,1993,144.5,null,null,null,null,{"$f":"ROW()","v":53}]
[null,null,null,null,null,null,null,null,1994,148.19999999999999,null,null,null,null,{"$f":"ROW()","v":54}]
[null,null,null,null,null,null,null,null,1995,152.4,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,1996,156.9,null,null,null,null,{"$f":"ROW()","v":56}]
[null,null,null,null,null,null,null,null,1997,160.5,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,1998,163,null,null,null,null,{"$f":"ROW()","v":58}]
[null,null,null,null,null,null,null,null,1999,166.6,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,2000,172.2,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,2001,177.1,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,2002,179.9,null,null,null,null,{"$f":"ROW()","v":62}]
[null,null,null,null,null,null,null,null,2003,184,null,null,null,null,{"$f":"ROW()","v":63}]
[null,null,null,null,null,null,null,null,2004,188.9,null,null,null,null,{"$f":"ROW()","v":64}]
[null,null,null,null,null,null,null,null,2005,195.3,null,null,null,null,{"$f":"ROW()","v":65}]
[null,null,null,null,null,null,null,null,2006,201.6,null,null,null,null,{"$f":"ROW()","v":66}]
[null,null,null,null,null,null,null,null,2007,207.34200000000001,null,null,null,null,{"$f":"ROW()","v":67}]
[null,null,null,null,null,null,null,null,2008,215.303,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,2009,214.53700000000001,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,2010,218.05600000000001,null,null,null,null,{"$f":"ROW()","v":70}]
[null,null,null,null,null,null,null,null,2011,224.93899999999999,null,null,null,null,{"$f":"ROW()","v":71}]
[null,null,null,null,null,null,null,null,2012,229.59399999999999,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,2013,232.95699999999999,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,2014,236.73599999999999,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,2015,237.017,null,null,null,null,{"$f":"ROW()","v":75}]
[null,null,null,null,null,null,null,null,2016,240.00700000000001,null,null,null,null,{"$f":"ROW()","v":76}]
[null,null,null,null,null,null,null,null,2017,245.12,null,null,null,null,{"$f":"ROW()","v":77}]
[null,null,null,null,null,null,null,null,2018,251.107,null,null,null,null,{"$f":"ROW()","v":78}]
[null,null,null,null,null,null,null,null,2019,{"$f":"J78*(1+K79)","v":256.12914000000001},0.02,"assumed 2019/2018",null,null,{"$f":"ROW()","v":79}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Important/Helpful Facts About NYC Transportation (compiled for easy reference and comparability)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Figures are baseline (mostly 2011-12 conditions). Revenues are annual and in millions of dollars. Trips are weekdays.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Item",null,null,null,null,null,"Worksheet Source",null,"Figure",null,null,null,null,{"$f":"ROW()","v":85}]
[null,"Daily motor vehicle trips into the CBD",null,null,null,null,null,"Motor Vs",null,{"$f":"'Motor Vs'!H35","v":715800},null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Daily yellow-cab (medallion taxi) fare trips",null,null,null,null,null,"Taxis",null,{"$f":"Taxis!L69","v":304946.14061270922},null,null,null,null,{"$f":"ROW()","v":87}]
[null,"Daily subway trips",null,null,null,null,null,"Subways",null,{"$f":"Subways!R5","v":5580845},null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Daily bus trips (excludes express buses)",null,null,null,null,null,"Buses",null,{"$f":"Buses!D30","v":1923993},null,null,null,null,{"$f":"ROW()","v":89}]
[null,"Annual subway revenue (millions)",null,null,null,null,null,"Revenue",null,{"$f":"Revenues!G122","v":3344.2700071879799},null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Annual bus revenue (millions)",null,null,null,null,null,"Revenue",null,{"$f":"Revenues!J122","v":952.36300000000006},null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Number of people traveling to CBD",null,null,null,null,null,"Travel",null,{"$f":"Travel!G182","v":3472000},null,null,null,null,{"$f":"ROW()","v":92}]

{"sheet":"FreshDirect","index":70,"n_rows":279,"n_cols":78,"rows_kept":279,"cut":false,"hidden":false,"merged":[[43,5,46,5],[216,7,218,7],[172,6,172,8],[155,1,156,5],[172,9,172,11],[173,10,175,10],[173,11,175,11],[216,6,218,6],[277,1,278,10],[173,8,175,8],[173,6,175,6],[173,7,175,7],[262,8,263,13],[274,8,275,13],[180,1,181,6],[215,6,215,8],[228,6,228,8],[228,9,228,11],[228,12,228,14],[216,8,218,8],[241,7,241,8],[206,1,208,7],[211,1,212,6],[173,9,175,9],[48,52,48,59],[48,61,48,68],[48,16,48,23],[119,12,119,14],[111,1,112,11],[92,1,94,11],[103,1,104,11],[21,52,21,59],[29,61,29,68],[29,16,29,23],[29,25,29,32],[29,34,29,41],[29,52,29,59],[29,43,29,50],[20,70,20,77],[48,25,48,32],[48,34,48,41],[48,43,48,50],[38,16,38,23],[20,34,20,41],[20,16,20,23],[21,34,21,41],[21,25,21,32],[21,16,21,23],[20,25,20,32],[20,61,20,68],[21,61,21,68],[20,43,20,50],[21,43,21,50],[20,52,20,59],[222,1,223,6],[215,9,215,11],[216,9,218,9],[120,12,120,14],[168,12,168,14],[216,12,218,12],[216,13,218,13],[216,14,218,14],[172,12,172,14],[173,12,175,12],[173,13,175,13],[173,14,175,14],[215,12,215,14],[2,11,8,14],[2,1,8,9],[35,11,36,13],[10,11,13,14],[252,9,253,14],[241,9,243,14],[167,12,167,14],[43,6,43,14],[20,7,20,8],[21,7,21,8],[17,1,18,10],[161,1,162,9],[126,1,129,8],[19,7,19,8],[216,10,218,10],[216,11,218,11]]}
[null,"FreshDirect",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,"Requires revision to adapt columns to change in vehicle categories in Motor Vs tab from early Nov. 2017",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"This worksheet estimates delays imposed on other vehicle users by FreshDirect Co. trucks delivering groceries to customers in NYC. (An earlier version covered only deliveries within the Manhattan CBD.) The first part, Delay Estimates due to Driving, uses the form of the BTA's Delays worksheet to calculate delays due to truck movements between the company's depot in Long Island City and customers in the CBD and elsewhere. The second part, Delay Estimates due to Parking, estimates the loss of street space due to the trucks' double-parking, and applies speed-volume relationships shown in the Motor Vs worksheet to estimate the resulting slowing of traffic and drivers' lost time. Later parts summarizes the results and present input assumptions.",null,null,null,null,null,null,null,null,null,"Note: An earlier version of this worksheet was the analytical backbone for \"Time Thieves,\" an article by Charles Komanoff and Will Fisher in the Winter 2010 edition of the New York Transportation Journal, published by the NYU-Wagner Rudin Center for Transportation Policy & Management. To download the article, use this link: <https://wagner.nyu.edu/files/faculty/publications/Time_Thieves_Feb_2012_reprint.pdf>.",null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,"Later note (5-May-2012): This worksheet should probably be updated to incorporate refinements and improvements developed for the FreshDirect Bronx worksheet (the next tab in the BTA).",null,null,null,{"$f":"ROW()","v":11}]
[null,"Part One: Delays due to Driving FreshDirect Trucks to, within and back from Manhattan Central Business District",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,{"$f":"CONCATENATE(\"Delays caused by FD trucks driving to non-CBD destinations are estimated by extrapolation. See Rows \",P110, \"-\",P118, \", starting in Column Q.\")","v":"Delays caused by FD trucks driving to non-CBD destinations are estimated by extrapolation. See Rows 110-118, starting in Column Q."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,"1A. General Traffic Estimates (24-hour weekday basis)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"1. Breakout of m.v. trips into cordon (will also apply to trips leaving zone)",null,null,null,null,null,"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus","FreshDirect","Total",{"$f":"ROW()","v":17}]
[null,"This section recapitulates the Motor Vs and Delays worksheets. It maintains that structure, rather than simply importing the data from those worksheets, in order to preserve the ability to invoke the 'Baseline Traffic Reduction' parameter in Policy Levers, to reflect lower (or higher) traffic levels.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From Row \",P267,)","v":"From Row 267"},null,{"$f":"ROW()","v":19}]
[null,{"$f":"'Motor Vs'!B35","v":"Daily motor vehicle trips into \"Hub\" as defined by NYMTC"},null,null,null,null,null,{"$f":"'Motor Vs'!I35-K20","v":636700},null,0,{"$f":"'Motor Vs'!L44","v":32900},{"$f":"'Motor Vs'!M35","v":46200},{"$f":"'Motor Vs'!N35","v":54900},{"$f":"G267","v":75},{"$f":"SUM(H20:N20)","v":770775},{"$f":"ROW()","v":20}]
[null,"Share of each mode's trips that are est'd to be through-trips",null,null,null,null,null,{"$f":"'Motor Vs'!I46","v":0.32},null,{"$f":"'Motor Vs'!K46","v":"N.A."},{"$f":"'Motor Vs'!L46","v":0},{"$f":"'Motor Vs'!M46","v":0.27},{"$f":"'Motor Vs'!N46","v":0},0,null,{"$f":"ROW()","v":21},{"$f":"'Motor Vs'!P48","v":"AUTO TRIPS FOR WORK"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!Y48","v":"AUTO TRIPS FOR NON-WORK"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AH48","v":"THROUGH-TRIPS (AUTOS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AQ48","v":"TAXICABS (MEDALLION TAXIS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AZ48","v":"TRUCKS & BUSES"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!BI48","v":"UBERLYFT"},null,null,null,null,null,null,null,null,"FRESH DIRECT TRUCKS"]
[null,"Redistribution of trips after allocating through-trips to own column",null,null,null,null,null,{"$f":"H20*(1-H21)","v":432955.99999999994},null,{"$f":"O20-(H22+SUM(K22:N22))","v":216218},{"$f":"K20*(1-K21)","v":32900},{"$f":"L20*(1-L21)","v":33726},{"$f":"M20*(1-M21)","v":54900},{"$f":"N20*(1-N21)","v":75},{"$f":"SUM(H22:N22)","v":770775},{"$f":"ROW()","v":22},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$45,)","v":"Data will appear in this 'column block' after Row 45"}]
[null,"Percent of (non-taxi) auto trips that are work trips (derived in H.I.S. Worksheet)",null,null,null,null,null,{"$f":"H.I.S.!G128","v":0.58708201873587496},{"$f":"1-H23","v":0.41291798126412504},null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Final breakout without added cars (taken from Motor Vs)",null,null,null,null,null,{"$f":"'Motor Vs'!I85","v":225700},{"$f":"'Motor Vs'!J85","v":158700},{"$f":"'Motor Vs'!K85","v":100500},{"$f":"'Motor Vs'!L85","v":32900},{"$f":"'Motor Vs'!M85","v":40700},{"$f":"'Motor Vs'!N85","v":54900},0,{"$f":"SUM(H24:N24)","v":613400},{"$f":"ROW()","v":24}]
[null,"Final breakout with added cars",null,null,null,null,{"$f":"'Policy Levers'!K259","v":0},{"$f":"H22*H23*(1-$G$25)","v":254180.68250380945},{"$f":"H22*I23*(1-$G$25)","v":178775.31749619049},{"$f":"J24*(1-$G$25)","v":100500},{"$f":"K24*(1-$G$25)","v":32900},{"$f":"L24*(1-$G$25)","v":40700},{"$f":"M24*(1-$G$25)","v":54900},{"$f":"N22*(1-G25)","v":75},{"$f":"SUM(H25:N25)","v":662031},{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,"Difference",{"$f":"H25-H24","v":28480.682503809454},20075.317496190488,0,0,0,0,75,{"$f":"SUM(H26:N26)","v":48630.999999999942},{"$f":"ROW()","v":26}]
[null,"Trip Distances for trips into cordon ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Rows \",P252, \"-\",P254,)","v":"Rows 252-254"},null,{"$f":"ROW()","v":27}]
[null,"Cordon miles for average trip (one way)",null,null,null,null,null,{"$f":"'Motor Vs'!I99","v":1.25},{"$f":"'Motor Vs'!J99","v":1.25},{"$f":"'Motor Vs'!K99","v":1.6},{"$f":"'Motor Vs'!L99","v":1.5},{"$f":"'Motor Vs'!M99","v":3},{"$f":"'Motor Vs'!N99","v":1.5},{"$f":"H247+H249/2","v":3.2},null,{"$f":"ROW()","v":28}]
[null,"Non-Cordon miles for average trip (one way) (total miles minus cordon miles)",null,null,null,null,null,{"$f":"'Motor Vs'!I93","v":16.85690937641937},{"$f":"'Motor Vs'!J93","v":16.85690937641937},{"$f":"'Motor Vs'!K93","v":25.285364064629057},{"$f":"'Motor Vs'!L93","v":6},{"$f":"'Motor Vs'!M93","v":15.548220939020323},{"$f":"'Motor Vs'!N93","v":6},{"$f":"H248","v":4.9666666666666659},null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Both rows are taken from 'Motor Vs' worksheet, except that miles for FD are from this worksheet, Rows \",P252, \" and \",P253, \", with circulating miles divided by two to produce one-way values.\")","v":"Both rows are taken from 'Motor Vs' worksheet, except that miles for FD are from this worksheet, Rows 252 and 253, with circulating miles divided by two to produce one-way values."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"2. Cordon-crossing VMT",null,null,null,null,null,"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus",null,"Total",{"$f":"ROW()","v":32}]
[null,"Daily weekday cordon VMT of m.v. trips into and out of cordon",null,null,null,null,null,{"$f":"2*H25*H28","v":635451.70625952363},{"$f":"2*I25*I28","v":446938.29374047625},{"$f":"2*J25*J28","v":321600},{"$f":"(1+Taxis!L228)*K25*K28","v":86362.5},{"$f":"2*L25*L28","v":244200},{"$f":"2*M25*M28","v":164700},null,{"$f":"SUM(H33:M33)","v":1899252.5},{"$f":"ROW()","v":33}]
[null,"Calculated as 2x cordon entries times cordon miles per entry (all figures are doubled to account for return journeys, except that taxicabs use an outgoing-trip factor less than one (see Taxis).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Percentage breakdown",null,null,null,null,null,{"$f":"H33/$O$33","v":0.33457989722773757},0.2353232620415012,0.16932977579337133,4.5471836946377589E-2,0.12857690064907115,8.6718327341941112E-2,null,{"$f":"SUM(H35:M35)","v":0.99999999999999989},{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,"Bus figure here is hard-wired, pending revision of this tab to reflect consolidation w/ trucks.",null,null,null,{"$f":"ROW()","v":36}]
[null,"3. Intra-Cordon VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,"Additional intra-cordon VMT, as a percentage of crossing-cordon VMT ",null,null,null,null,null,{"$f":"'Motor Vs'!I113","v":0.14285714285714285},{"$f":"'Motor Vs'!J113","v":0.14285714285714285},{"$f":"'Motor Vs'!K113","v":0},{"$f":"'Motor Vs'!L113","v":"N.A."},{"$f":"'Motor Vs'!M113","v":0.2},0.5,null,null,{"$f":"ROW()","v":38}]
[null,"Komanoff ests. Note that 7 in 8 auto trips in Cordon are either inbound or outbound, while 1 in 8 are intra-Cordon trips (Schaller, \"Necessity or Choice,\" p. 25).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,"Daily weekday VMT of all m.v. trips occuring entirely within cordon",null,null,null,null,null,{"$f":"H$38*H33","v":90778.815179931946},{"$f":"I$38*I33","v":63848.327677210887},{"$f":"J$38*J33","v":0},{"$f":"Taxis!I486","v":620998.12503044493},{"$f":"L$38*L33","v":48840},{"$f":"M$38*M33","v":82350},null,{"$f":"SUM(H40:M40)","v":906815.26788758778},{"$f":"ROW()","v":40}]
[null,{"$f":"CONCATENATE(\"Products of percentages in row \",P38, \" and miles in row \",P33, \", except taxi figure is from Taxis worksheet.\")","v":"Products of percentages in row 38 and miles in row 33, except taxi figure is from Taxis worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"1B. Traffic Estimates From Part \"1A\" Disaggregated Into Different Weekday Time Periods",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,"Select period via pull-down menu on cell below.","ALL MOTOR VEHICLE TRIPS",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G132","v":"Graveyard"},{"$f":"'Motor Vs'!H132","v":"A.M. Pre-pk"},{"$f":"'Motor Vs'!I132","v":"A.M. Peak"},{"$f":"'Motor Vs'!J132","v":"A.M. Post-pk"},{"$f":"'Motor Vs'!K132","v":"Midday Pk"},{"$f":"'Motor Vs'!L132","v":"P.M. Peak"},{"$f":"'Motor Vs'!M132","v":"P.M. Post-pk"},null,{"$f":"'Motor Vs'!N132","v":"Totals"},{"$f":"ROW()","v":45},{"$f":"G45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk",{"$f":"O45","v":"Totals"},null,{"$f":"Q45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"Z45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"AI45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"AR45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"BA45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"BJ45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals"]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G133","v":"11 pm - 5 am"},{"$f":"'Motor Vs'!H133","v":"5 am - 6 am"},{"$f":"'Motor Vs'!I133","v":"6 am - 9 am"},{"$f":"'Motor Vs'!J133","v":"9 am - 10 am"},{"$f":"'Motor Vs'!K133","v":"10 am - 2 pm"},{"$f":"'Motor Vs'!L133","v":"2 pm - 8 pm "},{"$f":"'Motor Vs'!M133","v":"8 pm - 11 pm"},null,null,{"$f":"ROW()","v":46},{"$f":"G46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"Q46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"Z46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"AI46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"AR46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"BA46","v":"11 pm - 5 am"},"5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm"]
[null,"Hours in period",null,"See By Hours worksheet.",null,null,{"$f":"'Motor Vs'!G135","v":6},{"$f":"'Motor Vs'!H135","v":1},{"$f":"'Motor Vs'!I135","v":3},{"$f":"'Motor Vs'!J135","v":1},{"$f":"'Motor Vs'!K135","v":4},{"$f":"'Motor Vs'!L135","v":6},{"$f":"'Motor Vs'!M135","v":3},null,{"$f":"SUM(G47:M47)","v":24},{"$f":"ROW()","v":47},6,1,3,1,4,6,3,{"$f":"O47","v":24},null,6,1,3,1,4,6,3,{"$f":"X47","v":24},null,6,1,3,1,4,6,3,{"$f":"AG47","v":24},null,6,1,3,1,4,6,3,{"$f":"AP47","v":24},null,6,1,3,1,4,6,3,{"$f":"AY47","v":24},null,6,1,3,1,4,6,3,{"$f":"BH47","v":24},null,6,1,3,1,4,6,3,{"$f":"BQ47","v":24}]
[null,"Active period for time-dependent delay calculations",null,null,null,"Graveyard",{"$f":"IF($F$48 = G45, 1, 0)","v":1},0,0,0,0,0,0,null,null,{"$f":"ROW()","v":48}]
[null,null,null,null,"Switch in next cell to right must be set = 0",0,{"$f":"1-G48+(1-$F49)*G48","v":1},1,1,1,1,1,1,null,null,{"$f":"ROW()","v":49},"Inbounds follow shape for inbound work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound non-work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound through trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"1. Auto Cordon Crossings, inbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":51},null,null,null,null,null,null,null,null,null,null,{"$f":"H48*$I26","v":0},0,0,0,0,0]
[null,"Daily cordon auto entries (figures are vehicles, not persons)",null,null,null,null,{"$f":"Q52+Z52+AI52+AR52+BA52+BJ52+BS52","v":103628.88416257684},{"$f":"R52+AA52+AJ52+AS52+BB52+BK52+BT52","v":24110.857244249059},121507.83257881025,35805.877368116053,119693.22296552092,190558.03501441338,66726.290666313391,null,{"$f":"SUM(G52:M52)","v":662030.99999999988},{"$f":"ROW()","v":52},{"$f":"$H$24*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))+G48*H26","v":36583.301902160412},{"$f":"$H$24*'Weekday Hours'!T40+H48*H26","v":13307.396498819224},{"$f":"$H$24*SUM('Weekday Hours'!T41:T43)+I48*H26","v":71518.57223654339},{"$f":"$H$24*'Weekday Hours'!T44+J48*H26","v":17117.951319843243},{"$f":"$H$24*SUM('Weekday Hours'!T45:T48)+K48*H26","v":48386.165796810201},{"$f":"$H$24*SUM('Weekday Hours'!T49:T54)+L48*H26","v":52544.415279393434},{"$f":"$H$24*SUM('Weekday Hours'!T55:T57)+M48*H26","v":14722.879470239532},{"$f":"SUM(Q52:W52)","v":254180.68250380945},null,{"$f":"I24*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))+G48*$I26","v":37503.625201470451},{"$f":"I24*'Weekday Hours'!U40+H48*$I26","v":1807.5101016746883},{"$f":"I24*SUM('Weekday Hours'!U41:U43)+I48*$I26","v":12608.845592025515},{"$f":"I24*'Weekday Hours'!U44+J48*$I26","v":7676.2431331302878},{"$f":"I24*SUM('Weekday Hours'!U45:U48)+K48*$I26","v":30537.431934295273},{"$f":"I24*SUM('Weekday Hours'!U49:U54)+L48*$I26","v":66972.380902113902},{"$f":"I24*SUM('Weekday Hours'!U55:U57)+M48*$I26","v":21669.280631480386},{"$f":"SUM(Z52:AF52)","v":178775.31749619049},null,{"$f":"J24*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))+G48*J26","v":18002.945989096526},{"$f":"J24*'Weekday Hours'!V40+H48*J26","v":3942.3027483761189},{"$f":"J24*SUM('Weekday Hours'!V41:V43)+I48*J26","v":11917.858872778505},{"$f":"J24*'Weekday Hours'!V44+J48*J26","v":3510.8139867176706},{"$f":"J24*SUM('Weekday Hours'!V45:V48)+K48*J26","v":15637.475629387947},{"$f":"J24*SUM('Weekday Hours'!V49:V54)+L48*J26","v":31132.459724356926},{"$f":"J24*SUM('Weekday Hours'!V55:V57)+M48*J26","v":16356.143049286284},{"$f":"SUM(AI52:AO52)","v":100499.99999999999},null,{"$f":"K24*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":2954.3460248875253},{"$f":"K24*'Weekday Hours'!D40","v":1293.8911732137742},{"$f":"K24*SUM('Weekday Hours'!D41:D43)","v":6519.2069133737541},{"$f":"K24*'Weekday Hours'!D44","v":1920.4559357601381},{"$f":"K24*SUM('Weekday Hours'!D45:D48)","v":6415.4102879798047},{"$f":"K24*SUM('Weekday Hours'!D49:D54)","v":10217.889748414524},{"$f":"K24*SUM('Weekday Hours'!D55:D57)","v":3578.799916370479},{"$f":"SUM(AR52:AX52)","v":32900},null,{"$f":"$L$25*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":3654.7684867149633},{"$f":"$L$25*'Weekday Hours'!D40","v":1600.6495668632404},{"$f":"$L$25*SUM('Weekday Hours'!D41:D43)","v":8064.7939627450396},{"$f":"$L$25*'Weekday Hours'!D44","v":2375.761598341569},{"$f":"$L$25*SUM('Weekday Hours'!D45:D48)","v":7936.3890188686346},{"$f":"$L$25*SUM('Weekday Hours'!D49:D54)","v":12640.368169011279},{"$f":"$L$25*SUM('Weekday Hours'!D55:D57)","v":4427.2691974552736},{"$f":"SUM(BA52:BG52)","v":40700},null,{"$f":"$M$25*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":4929.8965582469655},{"$f":"$M$25*'Weekday Hours'!D40","v":2159.107155302012},{"$f":"$M$25*SUM('Weekday Hours'!D41:D43)","v":10878.555001344046},{"$f":"$M$25*'Weekday Hours'!D44","v":3204.6513943231485},{"$f":"$M$25*SUM('Weekday Hours'!D45:D48)","v":10705.350298179066},{"$f":"$M$25*SUM('Weekday Hours'!D49:D54)","v":17050.521191123324},{"$f":"$M$25*SUM('Weekday Hours'!D55:D57)","v":5971.9184014814373},{"$f":"SUM(BJ52:BP52)","v":54900},null,0,0,0,0,{"$f":"N20","v":75},0,0,{"$f":"SUM(BS52:BY52)","v":75}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53},"Product of total auto work trips above, times percentages of total daily inbound work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times %'s of total daily inbound non-work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total thru-trips above, times %'s of daily thru-trips in respective periods in By Hours worksheet."]
[null,"Cordon VMT from cordon entries ",null,null,null,null,{"$f":"Q54+Z54+AI54+AR54+BA54+BJ54+BS54","v":144204.04179693965},{"$f":"R54+AA54+AJ54+AS54+BB54+BK54+BT54","v":35182.763841382584},174518.87124246857,51424.99123511483,173404.76610674677,278031.65170219587,99267.914075151653,null,{"$f":"SUM(G54:M54)","v":956034.99999999988},{"$f":"ROW()","v":54},{"$f":"Q52*$H$28","v":45729.127377700512},16634.245623524032,89398.215295679242,21397.439149804053,60482.707246012753,65680.519099241792,18403.599337799416,{"$f":"SUM(Q54:W54)","v":317725.85312976182},null,{"$f":"Z52*$I$28","v":46879.531501838064},2259.3876270933602,15761.056990031893,9595.3039164128604,38171.789917869093,83715.476127642381,27086.600789350483,{"$f":"SUM(Z54:AF54)","v":223469.14687023815},null,{"$f":"AI52*$J$28","v":28804.713582554443},6307.6843974017902,19068.574196445607,5617.3023787482734,25019.961007020716,49811.935558971083,26169.828878858054,{"$f":"SUM(AI54:AO54)","v":160800},null,{"$f":"AR52*$K$28","v":4431.519037331288},1940.8367598206614,9778.8103700606316,2880.6839036402071,9623.1154319697071,15326.834622621785,5368.1998745557185,{"$f":"SUM(AR54:AX54)","v":49350},null,{"$f":"BA52*$L$28","v":10964.305460144889},4801.9487005897208,24194.381888235119,7127.2847950247069,23809.167056605904,37921.104507033837,13281.807592365822,{"$f":"SUM(BA54:BG54)","v":122099.99999999999},null,{"$f":"BJ52*$M$28","v":7394.8448373704487},3238.6607329530179,16317.83250201607,4806.9770914847231,16058.025447268599,25575.781786684987,8957.8776022221555,{"$f":"SUM(BJ54:BP54)","v":82350.000000000015},null,{"$f":"BS52*$N28","v":0},{"$f":"BT52*$N28","v":0},0,0,240,0,0,{"$f":"SUM(BS54:BY54)","v":240}]
[null,{"$f":"CONCATENATE(\"Daily cordon entries in Row \",P52,\" times Cordon VMT per entry in Row \",P$28,\".\")","v":"Daily cordon entries in Row 52 times Cordon VMT per entry in Row 28."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"2. Auto Cordon Crossings, outbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,"Daily cordon auto return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"Q58+Z58+AI58+AR58+BA58+BJ58+BS58","v":76340.909182894393},{"$f":"R58+AA58+AJ58+AS58+BB58+BK58+BT58","v":15652.515147342589},86471.405360788689,28258.472273449068,117349.81746086439,245318.84337158009,92639.037203080661,null,{"$f":"SUM(G58:M58)","v":662030.99999999977},{"$f":"ROW()","v":58},{"$f":"(H24+G49*H26)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":29653.078120407568},{"$f":"(H24+H49*H26)*'Weekday Hours'!L40","v":5801.8440990303297},{"$f":"(H24+I49*H26)*SUM('Weekday Hours'!L41:L43)","v":32306.033753821514},{"$f":"(H24+J49*H26)*'Weekday Hours'!L44","v":10642.319552647548},{"$f":"(H24+K49*H26)*SUM('Weekday Hours'!L45:L48)","v":44824.91754050403},{"$f":"(H24+L49*H26)*SUM('Weekday Hours'!L49:L54)","v":94996.504046114642},{"$f":"(H24+M49*H26)*SUM('Weekday Hours'!L55:L57)","v":35955.985391283808},{"$f":"SUM(Q58:W58)","v":254180.68250380945},null,{"$f":"(I24+G49*I26)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":20856.181529986065},{"$f":"(I24+H49*I26)*'Weekday Hours'!L40","v":4080.6662042541388},{"$f":"(I24+I49*I26)*SUM('Weekday Hours'!L41:L43)","v":22722.110053723412},{"$f":"(I24+J49*I26)*'Weekday Hours'!L44","v":7485.163853441014},{"$f":"(I24+K49*I26)*SUM('Weekday Hours'!L45:L48)","v":31527.135682012598},{"$f":"(I24+L49*I26)*SUM('Weekday Hours'!L49:L54)","v":66814.794911166231},{"$f":"(I24+M49*I26)*SUM('Weekday Hours'!L55:L57)","v":25289.265261607015},{"$f":"SUM(Z58:AF58)","v":178775.31749619049},null,{"$f":"($J24+G49*$J26)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":11724.472220882863},{"$f":"($J24+H49*$J26)*'Weekday Hours'!L40","v":2293.979724221605},{"$f":"($J24+I49*$J26)*SUM('Weekday Hours'!L41:L43)","v":12773.419129561124},{"$f":"($J24+J49*$J26)*'Weekday Hours'!L44","v":4207.8457910547513},{"$f":"($J24+K49*$J26)*SUM('Weekday Hours'!L45:L48)","v":17723.235961305356},{"$f":"($J24+L49*$J26)*SUM('Weekday Hours'!L49:L54)","v":37560.48084610614},{"$f":"($J24+M49*$J26)*SUM('Weekday Hours'!L55:L57)","v":14216.566326868155},{"$f":"SUM(AI58:AO58)","v":100499.99999999999},null,{"$f":"AR52","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AR58:AX58)","v":32900},null,{"$f":"$L$25*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":4748.1195959197266},{"$f":"$L$25*'Weekday Hours'!L40","v":929.00472413750572},{"$f":"$L$25*SUM('Weekday Hours'!L41:L43)","v":5172.9170007277389},{"$f":"$L$25*'Weekday Hours'!L44","v":1704.0728725963022},{"$f":"$L$25*SUM('Weekday Hours'!L45:L48)","v":7177.4696878122195},{"$f":"$L$25*SUM('Weekday Hours'!L49:L54)","v":15211.060402353432},{"$f":"$L$25*SUM('Weekday Hours'!L55:L57)","v":5757.3557164530739},{"$f":"SUM(BA58:BG58)","v":40699.999999999993},null,{"$f":"$M$25*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":6404.7116908106391},{"$f":"$M$25*'Weekday Hours'!L40","v":1253.129222485235},{"$f":"$M$25*SUM('Weekday Hours'!L41:L43)","v":6977.718509581151},{"$f":"$M$25*'Weekday Hours'!L44","v":2298.6142679493119},{"$f":"$M$25*SUM('Weekday Hours'!L45:L48)","v":9681.6483012503886},{"$f":"$M$25*SUM('Weekday Hours'!L49:L54)","v":20518.113417425146},{"$f":"$M$25*SUM('Weekday Hours'!L55:L57)","v":7766.0645904981266},{"$f":"SUM(BJ58:BP58)","v":54900},null,0,0,0,0,0,0,{"$f":"N20","v":75},{"$f":"SUM(BS58:BY58)","v":75}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59},"Product of total auto work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",P52,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 52, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,"Taxicab outbound trips are assumed to follow same distribution as inbound."]
[null,"Cordon VMT from cordon return trips",null,null,null,null,{"$f":"Q60+Z60+AI60+AR60+BA60+BJ60+BS60","v":109070.79571837821},{"$f":"R60+AA60+AJ60+AS60+BB60+BK60+BT60","v":22145.841013866018},122542.08691082938,40112.560470741337,167069.46215552388,350266.37035053526,132490.38338012577,null,{"$f":"SUM(G60:M60)","v":943697.49999999977},{"$f":"ROW()","v":60},{"$f":"Q58*$H$28","v":37066.347650509459},7252.3051237879117,40382.542192276895,13302.899440809435,56031.146925630033,118745.6300576433,44944.981739104762,{"$f":"SUM(Q60:W60)","v":317725.85312976182},null,{"$f":"Z58*$I$28","v":26070.22691248258},5100.8327553176732,28402.637567154266,9356.454816801268,39408.919602515751,83518.493638957792,31611.581577008768,{"$f":"SUM(Z60:AF60)","v":223469.1468702381},null,{"$f":"AI58*$J$28","v":18759.15555341258},3670.3675587545681,20437.470607297801,6732.5532656876021,28357.17753808857,60096.769353769829,22746.506122989049,{"$f":"SUM(AI60:AO60)","v":160800},null,{"$f":"AR58*$K$28*Taxis!$L$228","v":3323.6392779984662},{"$f":"AS58*$K$28*Taxis!$L$228","v":1455.6275698654961},{"$f":"AT58*$K$28*Taxis!$L$228","v":7334.1077775454742},{"$f":"AU58*$K$28*Taxis!$L$228","v":2160.5129277301553},{"$f":"AV58*$K$28*Taxis!$L$228","v":7217.3365739772798},{"$f":"AW58*$K$28*Taxis!$L$228","v":11495.12596696634},{"$f":"AX58*$K$28*Taxis!$L$228","v":4026.1499059167891},{"$f":"SUM(AR60:AX60)","v":37012.5},null,{"$f":"BA58*$L$28","v":14244.35878775918},2787.0141724125169,15518.751002183217,5112.2186177889071,21532.409063436658,45633.181207060297,17272.067149359224,{"$f":"SUM(BA60:BG60)","v":122100},null,{"$f":"BJ58*$M$28","v":9607.0675362159582},1879.6938337278525,10466.577764371727,3447.921401923968,14522.472451875583,30777.170126137717,11649.096885747189,{"$f":"SUM(BJ60:BP60)","v":82350},null,{"$f":"BS58*$N28","v":0},{"$f":"BT58*$N28","v":0},0,0,0,0,240,{"$f":"SUM(BS60:BY60)","v":240}]
[null,{"$f":"CONCATENATE(\"Daily cordon return trips in Row \",P58,\" times Cordon VMT per entry [which is same as per return] in Row \",P$28,\".\")","v":"Daily cordon return trips in Row 58 times Cordon VMT per entry [which is same as per return] in Row 28."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab outbound cordon VMT is calculated as trips times cordon VMT per trip times one-half, to reflect lesser circulation on final trips."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"3. Auto Travel in Cordon that Doesn't Cross Cordon -- VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":63}]
[null,"% of 24-h volume that occurs in respective period",null,null,null,null,{"$f":"AVERAGE('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39),('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39)))","v":0.10322958332475049},{"$f":"AVERAGE('Weekday Hours'!D40,'Weekday Hours'!L40)","v":3.1076834041778207E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D41:D43),SUM('Weekday Hours'!L41:L43))","v":0.16262544181170491},{"$f":"AVERAGE('Weekday Hours'!D44,'Weekday Hours'!L44)","v":5.0120816596288344E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D45:D48),SUM('Weekday Hours'!L45:L48))","v":0.18567393988551417},{"$f":"AVERAGE(SUM('Weekday Hours'!D49:D54),SUM('Weekday Hours'!L49:L54))","v":0.34215514215435761},{"$f":"AVERAGE(SUM('Weekday Hours'!D55:D57),SUM('Weekday Hours'!L55:L57))","v":0.12511824218560624},null,{"$f":"SUM(G64:M64)","v":1},{"$f":"ROW()","v":64},{"$f":"'Motor Vs'!P158","v":0.10322958332475049},{"$f":"'Motor Vs'!Q158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!R158","v":0.16262544181170491},{"$f":"'Motor Vs'!S158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!T158","v":0.18567393988551417},{"$f":"'Motor Vs'!U158","v":0.34215514215435761},{"$f":"'Motor Vs'!V158","v":0.12511824218560624},{"$f":"SUM(Q64:W64)","v":1},null,{"$f":"'Motor Vs'!Y158","v":0.10322958332475049},{"$f":"'Motor Vs'!Z158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!AA158","v":0.16262544181170491},{"$f":"'Motor Vs'!AB158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!AC158","v":0.18567393988551417},{"$f":"'Motor Vs'!AD158","v":0.34215514215435761},{"$f":"'Motor Vs'!AE158","v":0.12511824218560624},{"$f":"SUM(Z64:AF64)","v":1},null,{"$f":"'Motor Vs'!AH158","v":0.10322958332475049},{"$f":"'Motor Vs'!AI158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!AJ158","v":0.16262544181170491},{"$f":"'Motor Vs'!AK158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!AL158","v":0.18567393988551417},{"$f":"'Motor Vs'!AM158","v":0.34215514215435761},{"$f":"'Motor Vs'!AN158","v":0.12511824218560624},{"$f":"SUM(AI64:AO64)","v":1},null,{"$f":"'Motor Vs'!AQ158","v":0.17861463753128054},{"$f":"'Motor Vs'!AR158","v":1.9116782531877763E-2},{"$f":"'Motor Vs'!AS158","v":0.12799966275594579},{"$f":"'Motor Vs'!AT158","v":4.7871019756144786E-2},{"$f":"'Motor Vs'!AU158","v":0.17533154624066652},{"$f":"'Motor Vs'!AV158","v":0.29602835790347287},{"$f":"'Motor Vs'!AW158","v":0.1550379932806118},{"$f":"SUM(AR64:AX64)","v":1.0000000000000002},null,{"$f":"'Motor Vs'!AZ158","v":0.10322958332475049},{"$f":"'Motor Vs'!BA158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!BB158","v":0.16262544181170491},{"$f":"'Motor Vs'!BC158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!BD158","v":0.18567393988551417},{"$f":"'Motor Vs'!BE158","v":0.34215514215435761},{"$f":"'Motor Vs'!BF158","v":0.12511824218560624},{"$f":"SUM(BA64:BG64)","v":1},null,{"$f":"'Motor Vs'!BI158","v":0.17861463753128054},{"$f":"'Motor Vs'!BJ158","v":1.9116782531877763E-2},{"$f":"'Motor Vs'!BK158","v":0.12799966275594579},{"$f":"'Motor Vs'!BL158","v":4.7871019756144786E-2},{"$f":"'Motor Vs'!BM158","v":0.17533154624066652},{"$f":"'Motor Vs'!BN158","v":0.29602835790347287},{"$f":"'Motor Vs'!BO158","v":0.1550379932806118},{"$f":"SUM(BJ64:BP64)","v":1.0000000000000002},null,0,0,0,0,0,0,0,{"$f":"SUM(BS64:BY64)","v":0}]
[null,"Calculated as mean of inbound and outbound percentages for respective periods, in By Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":65},{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."}]
[null,"Cordon VMT from motor vehicle trips that didn't cross cordon",null,null,null,null,{"$f":"Q66+Z66+AI66+AR66+BA66+BJ66","v":146632.09878803906},19768.867781937191,123117.25680523188,43867.931339293478,161097.66035859601,277828.31967527582,134503.13313921436,null,{"$f":"SUM(G66:M66)","v":906815.26788758778},{"$f":"ROW()","v":66},{"$f":"Q64*$H$40","v":9371.0592657389097},2821.1181738560012,14762.944925779537,4549.9083464617252,16855.260272596886,31060.438412493771,11358.085783005114,{"$f":"SUM(Q66:W66)","v":90778.815179931931},null,{"$f":"Z64*$I$40","v":6591.0362621006143},1984.203883069757,10383.362497444927,3200.1303214892077,11854.970554929065,21846.033632714098,7988.590525463218,{"$f":"SUM(Z66:AF66)","v":63848.32767721088},null,{"$f":"AI64*$J$40","v":0},0,0,0,0,0,0,{"$f":"SUM(AI66:AO66)","v":0},null,{"$f":"AR64*$K$40","v":110919.35500991775},11871.486108910853,79487.550575971618,29727.813511861299,108880.56147414267,183833.05521389816,96278.303135742652,{"$f":"SUM(AR66:AX66)","v":620998.12503044505},null,{"$f":"BA64*$L$40","v":5041.7328495808142},1517.7925746004476,7942.6265780836675,2447.9006825627225,9068.3152240085128,16710.857142818826,6110.7749483450089,{"$f":"SUM(BA66:BG66)","v":48840.000000000007},null,{"$f":"BJ64*$M$40","v":14708.915400700953},1574.2670415001337,10540.772227952137,3942.1784769185233,14438.552832918887,24377.935273350991,12767.378746658382,{"$f":"SUM(BJ66:BP66)","v":82350},null,0,0,0,0,0,0,0,{"$f":"SUM(BS66:BY66)","v":0}]
[null,"Each entry is sum of respective entries for the six trip types.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67},{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P64,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P40, \".\")","v":"Each entry is product of %'s in row 64 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 40."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P64,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P40, \".\")","v":"Each entry is product of %'s in row 64 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 40."},null,null,null,null,null,null,null,null,"Intra-cordon VMT is zero for thru-trips, by definition.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P64,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P40, \".\")","v":"Each entry is product of %'s in row 64 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 40."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P64,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P40, \".\")","v":"Each entry is product of %'s in row 64 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 40."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P64,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P40, \".\")","v":"Each entry is product of %'s in row 64 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 40."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"4. Total VMT in Cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,"VMT in period",null,null,null,null,{"$f":"G54+G60+G66","v":399906.9363033569},77097.472637185798,420178.2149585298,135405.48304514965,501571.8886208667,906126.34172800696,366261.43059449177,null,{"$f":"SUM(G70:M70)","v":2806547.7678875877},{"$f":"ROW()","v":70},{"$f":"Q54+Q60+Q66","v":92166.534293948876},26707.668921167944,144543.70241373568,39250.246937075208,133369.11444423968,215486.58756937887,74706.666859909295,{"$f":"SUM(Q70:W70)","v":726230.52143945557},null,{"$f":"Z54+Z60+Z66","v":79540.794676421268},9344.4242654807895,54547.057054631085,22151.889054703333,89435.68007531391,189080.00339931427,66686.772891822475,{"$f":"SUM(Z70:AF70)","v":510786.62141768716},null,{"$f":"AI54+AI60+AI66","v":47563.869135967019},9978.0519561563578,39506.044803743411,12349.855644435876,53377.138545109286,109908.70491274091,48916.335001847103,{"$f":"SUM(AI70:AO70)","v":321600},null,{"$f":"AR54+AR60+AR66","v":118674.51332524751},15267.95043859701,96600.468723577724,34769.010343231661,125721.01348008966,210655.01580348628,105672.65291621516,{"$f":"SUM(AR70:AX70)","v":707360.62503044493},null,{"$f":"BA54+BA60+BA66","v":30250.397097484882},9106.7554476026853,47655.759468502001,14687.404095376336,54409.891344051073,100265.14285691296,36664.649690070051,{"$f":"SUM(BA70:BG70)","v":293040},null,{"$f":"BJ54+BJ60+BJ66","v":31710.827774287358},6692.6216081810044,37325.182494339933,12197.076970327214,45019.050732063071,80730.887186173699,33374.353234627728,{"$f":"SUM(BJ70:BP70)","v":247050},null,{"$f":"BS54+BS60+BS66","v":0},0,0,0,240,0,240,{"$f":"SUM(BS70:BY70)","v":480}]
[null,{"$f":"CONCATENATE(\"Each entry is sum of respective VMT's in Rows \",P54, \", \",P60, \" and \",103, \".\")","v":"Each entry is sum of respective VMT's in Rows 54, 60 and 103."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":71}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G70/G47","v":66651.156050559483},77097.472637185798,140059.40498617661,135405.48304514965,125392.97215521667,151021.05695466782,122087.14353149726,null,null,{"$f":"ROW()","v":72},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxi % of all cordon VMT:",{"$f":"AY70/$O70","v":0.25203940339944975}]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",P70, \" divided by hours in period in Row \",P47, \".\")","v":"Period VMT in Row 70 divided by hours in period in Row 47."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"5. Total VMT Outside Cordon (for cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"Q77+Z77+AI77+AR77+BA77+BJ77+BS77","v":1808218.2631446724},{"$f":"R77+AA77+AJ77+AS77+BB77+BK77+BT77","v":400078.41412587836},1949255.4287261716,574415.20898239722,1952300.9923953987,3162025.0832289937,1153170.8460868583,null,{"$f":"SUM(G77:M77)","v":10999464.23669037},{"$f":"ROW()","v":77},{"$f":"Q52*$H$29","v":616681.40485490847},224321.57681667607,1205582.0909223144,288555.75410855591,815641.21190923208,885736.44660168036,248182.24498977303,{"$f":"SUM(Q77:W77)","v":4284700.7302031405},null,{"$f":"Z52*$I$29","v":632195.21130838501},30469.033980892782,212546.16748603893,129397.73484653875,514766.7227049903,1128947.3555899735,365277.09985706437,{"$f":"SUM(Z77:AF77)","v":3013599.3257738841},null,{"$f":"AI52*$J$29","v":455211.04357015912},99682.560245677887,301347.40046907414,88772.209817348063,395399.26434083865,787195.57835776603,413571.03169435571,{"$f":"SUM(AI77:AO77)","v":2541179.0884952196},null,{"$f":"AR52*$K$29","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AR77:AX77)","v":197400},null,{"$f":"BA52*$L$29","v":56825.147912413209},24887.253111536844,125393.19836043712,36938.866229454776,123396.72992338426,196535.23704234714,68836.159638553785,{"$f":"SUM(BA77:BG77)","v":632812.5922181271},null,{"$f":"BJ52*$M$29","v":29579.379349481795},12954.642931812072,65271.33000806428,19227.908365938893,64232.101789074397,102303.12714673995,35831.510408888622,{"$f":"SUM(BJ77:BP77)","v":329400.00000000006},null,{"$f":"BS52*$N29","v":0},{"$f":"BT52*$N29","v":0},0,0,372.49999999999994,0,0,{"$f":"SUM(BS77:BY77)","v":372.49999999999994}]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,{"$f":"Q78+Z78+AI78+AR78+BA78+BJ78+BS78","v":1277866.719983815},254319.18615629527,1411996.1953216661,463779.98049519229,1943377.3515850501,4098289.7820875188,1549835.0210608328,null,{"$f":"SUM(G78:M78)","v":10999464.236690369},{"$f":"ROW()","v":78},{"$f":"Q58*$H$29","v":499859.25060759444},97801.16019346776,544579.88329971454,179396.61625387566,755609.57278574747,1601347.4597820106,606106.78728072997,{"$f":"SUM(Q78:W78)","v":4284700.7302031405},null,{"$f":"Z58*$I$29","v":351570.76198912656},68787.420400529241,383024.55001664301,126176.72874510517,531450.06908976391,1126290.9428215753,426298.85271113995,{"$f":"SUM(Z78:AF78)","v":3013599.3257738836},null,{"$f":"AI58*$J$29","v":296457.54857065319},58004.112483820645,322980.55304105021,106396.91275463643,448138.47368493187,949730.43263632024,359471.05532380752,{"$f":"SUM(AI78:AO78)","v":2541179.0884952201},null,{"$f":"AR58*$K$29","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AR78:AX78)","v":197400},null,{"$f":"BA58*$L$29","v":73824.812522251814},14444.370704283565,80429.65642652924,26495.301519318338,111596.88448922562,236504.92785257453,89516.638703944045,{"$f":"SUM(BA78:BG78)","v":632812.5922181271},null,{"$f":"BJ58*$M$29","v":38428.270144863833},7518.77533491141,41866.311057486906,13791.685607695872,58089.889807502332,123108.68050455087,46596.387542988756,{"$f":"SUM(BJ78:BP78)","v":329400},null,{"$f":"BS58*$N29","v":0},{"$f":"BT58*$N29","v":0},0,0,0,0,372.49999999999994,{"$f":"SUM(BS78:BY78)","v":372.49999999999994}]
[null,"VMT in period (sum of figures in two previous rows)",null,null,null,null,{"$f":"Q79+Z79+AI79+AR79+BA79+BJ79+BS79","v":3086084.9831284881},654397.6002821736,3361251.6240478377,1038195.1894775894,3895678.3439804483,7260314.8653165121,2703005.8671476911,null,{"$f":"SUM(G79:M79)","v":21998928.473380741},{"$f":"ROW()","v":79},{"$f":"Q77+Q78","v":1116540.655462503},322122.73701014381,1750161.9742220291,467952.37036243157,1571250.7846949794,2487083.9063836909,854289.032270503,{"$f":"SUM(Q79:W79)","v":8569401.4604062811},null,{"$f":"Z77+Z78","v":983765.97329751158},99256.454381422023,595570.717502682,255574.4635916439,1046216.7917947542,2255238.2984115491,791575.95256820437,{"$f":"SUM(Z79:AF79)","v":6027198.6515477663},null,{"$f":"AI77+AI78","v":751668.59214081231},157686.67272949853,624327.95351012435,195169.12257198448,843537.73802577052,1736926.0109940863,773042.08701816318,{"$f":"SUM(AI79:AO79)","v":5082358.1769904392},null,{"$f":"AR77+AR78","v":35452.152298650304},15526.694078565291,78230.482960485053,23045.471229121657,76984.923455757656,122614.67698097428,42945.598996445748,{"$f":"SUM(AR79:AX79)","v":394800},null,{"$f":"BA77+BA78","v":130649.96043466503},39331.623815820407,205822.85478696635,63434.167748773114,234993.6144126099,433040.16489492171,158352.79834249784,{"$f":"SUM(BA79:BG79)","v":1265625.1844362542},null,{"$f":"BJ77+BJ78","v":68007.64949434562},20473.418266723482,107137.64106555119,33019.593973634765,122321.99159657673,225411.80765129082,82427.897951877385,{"$f":"SUM(BJ79:BP79)","v":658800},null,{"$f":"BS77+BS78","v":0},{"$f":"BT77+BT78","v":0},0,0,372.49999999999994,0,372.49999999999994,{"$f":"SUM(BS79:BY79)","v":744.99999999999989}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"B. Non-cordon VMT for trips that do not enter the cordon",null,null,null,null,{"$f":"'Motor Vs'!G183","v":3978248.8036853974},{"$f":"'Motor Vs'!H183","v":1181560.5285596321},{"$f":"'Motor Vs'!I183","v":6038792.1803381331},{"$f":"'Motor Vs'!J183","v":1857592.6168550521},{"$f":"'Motor Vs'!K183","v":6904571.1728123892},{"$f":"'Motor Vs'!L183","v":12725838.395482821},{"$f":"'Motor Vs'!M183","v":4735421.559034802},null,{"$f":"SUM(G81:M81)","v":37422025.256768227},{"$f":"ROW()","v":81},{"$f":"'Motor Vs'!P183","v":1121835.4914185663},{"$f":"'Motor Vs'!Q183","v":601401.82264235453},{"$f":"'Motor Vs'!R183","v":3264685.4478706834},{"$f":"'Motor Vs'!S183","v":865583.15906019812},{"$f":"'Motor Vs'!T183","v":2873194.2339169979},{"$f":"'Motor Vs'!U183","v":4460113.3081477843},{"$f":"'Motor Vs'!V183","v":1519864.9699228299},{"$f":"SUM(Q81:W81)","v":14706678.432979412},null,{"$f":"'Motor Vs'!Y183","v":1171011.1019567107},{"$f":"'Motor Vs'!Z183","v":176908.36669227283},{"$f":"'Motor Vs'!AA183","v":1067957.9672450901},{"$f":"'Motor Vs'!AB183","v":466576.09336143418},{"$f":"'Motor Vs'!AC183","v":1906729.4338837811},{"$f":"'Motor Vs'!AD183","v":4114361.2223279374},{"$f":"'Motor Vs'!AE183","v":1437394.5266011534},{"$f":"SUM(Z81:AF81)","v":10340938.712068379},null,{"$f":"'Motor Vs'!AH183","v":1452785.4904415046},{"$f":"'Motor Vs'!AI183","v":304768.50113553554},{"$f":"'Motor Vs'!AJ183","v":1206668.2067336307},{"$f":"'Motor Vs'!AK183","v":377212.60728379939},{"$f":"'Motor Vs'!AL183","v":1630345.3400300033},{"$f":"'Motor Vs'!AM183","v":3357039.1700893864},{"$f":"'Motor Vs'!AN183","v":1494095.0563359703},{"$f":"SUM(AI81:AO81)","v":9822914.3720498309},null,{"$f":"'Motor Vs'!AQ183","v":3545.2152298650308},{"$f":"'Motor Vs'!AR183","v":1552.6694078565292},{"$f":"'Motor Vs'!AS183","v":7823.048296048506},{"$f":"'Motor Vs'!AT183","v":2304.5471229121658},{"$f":"'Motor Vs'!AU183","v":7698.4923455757662},{"$f":"'Motor Vs'!AV183","v":12261.467698097429},{"$f":"'Motor Vs'!AW183","v":4294.5598996445751},{"$f":"SUM(AR81:AX81)","v":39480},null,{"$f":"'Motor Vs'!AZ183","v":219657.30973067196},{"$f":"'Motor Vs'!BA183","v":96201.54572219438},{"$f":"'Motor Vs'!BB183","v":484706.74731603038},{"$f":"'Motor Vs'!BC183","v":142786.99270557924},{"$f":"'Motor Vs'!BD183","v":476989.4090959669},{"$f":"'Motor Vs'!BE183","v":759705.92285201047},{"$f":"'Motor Vs'!BF183","v":266085.81224815093},{"$f":"SUM(BA81:BG81)","v":2446133.7396706045},null,{"$f":"'Motor Vs'!BI183","v":9414.1949080787963},{"$f":"'Motor Vs'!BJ183","v":727.62295941841194},{"$f":"'Motor Vs'!BK183","v":6950.7628766498401},{"$f":"'Motor Vs'!BL183","v":3129.2173211287736},{"$f":"'Motor Vs'!BM183","v":9614.2635400635463},{"$f":"'Motor Vs'!BN183","v":22357.304367607809},{"$f":"'Motor Vs'!BO183","v":13686.634027052816},{"$f":"SUM(BJ81:BP81)","v":65880}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"C. Total (Sum of \"A\" + \"B\")",null,null,null,null,{"$f":"G79+G81","v":7064333.786813885},1835958.1288418057,9400043.8043859713,2895787.8063326413,10800249.516792838,19986153.260799333,{"$f":"M79+M81","v":7438427.4261824936},null,{"$f":"SUM(G83:M83)","v":59420953.730148971},{"$f":"ROW()","v":83}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G83/G47","v":1177388.9644689809},1835958.1288418057,3133347.9347953238,2895787.8063326413,2700062.3791982094,3331025.5434665554,2479475.8087274977,null,null,{"$f":"ROW()","v":84}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"6. Speeds",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"A. Cordon Speeds",null,null,null,null,{"$f":"KSC/(1+0.1*(G72/V_sub_k)^KSE)","v":20.748534714596612},19.855874444556321,10.109760475750242,10.851259816630398,12.531310117985823,8.4947665087895121,13.10290836397656,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",P90, \" & \",P91,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 90 & 91)"},null,null,null,null,{"$f":"1/G87","v":4.8196174513301854E-2},5.0362929257651484E-2,9.8914311807747388E-2,9.2155198280979539E-2,7.9800115916429937E-2,0.11771953931462421,7.6318934103917768E-2,null,null,{"$f":"ROW()","v":88}]
[null,{"$f":"CONCATENATE(\"Are calculated using speed-vol. relationship in Speed-Volume Cordon wksheet, operating on Vk value derived there and shown in Motor Vs wksheet in Row \",'Motor Vs'!O198, \", and on hourly VMT figs in Row \",P72, \".\")","v":"Are calculated using speed-vol. relationship in Speed-Volume Cordon wksheet, operating on Vk value derived there and shown in Motor Vs wksheet in Row 198, and on hourly VMT figs in Row 72."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 6am - 6pm",null,null,{"$f":"(I70+J70+K70+L70*(4/6))/(I70*I88+J70*J88+K70*K88+L70*(4/6)*L88)","v":10.057272254799829},null,null,null,null,{"$f":"ROW()","v":90}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 24 hour",null,null,{"$f":"$O$70/SUMPRODUCT(G88:M88,G70:M70)","v":11.144004063562132},null,null,null,null,{"$f":"ROW()","v":91}]
[null,"B. Non-cordon speeds ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"Baseline non-cordon speeds, i.e., on approaches to (and from) CBD in NJ, Bklyn, Queens, Bronx and Upper Manhattan, are derived differently than cordon speeds. Whereas our cordon equation is derived from observations made on urban streets, our non-cordon equation is based on data for freeways and expressways. See Speed-Volume, non-Cordon, for details.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Non-Cordon Speeds, uncapped",null,null,null,null,{"$f":"Alpha*EXP(Beta*G84/SVConstant)","v":60.767649643381439},39.60608847878121,17.04181639881827,19.887390966342785,22.585516824021433,14.986926262767714,26.067562265419163,null,null,{"$f":"ROW()","v":96}]
[null,"Non-Cordon Speeds, capped",null,null,null,null,{"$f":"MIN(G96,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN(H96,'Speed-Vol., non-Cordon'!$Y$6)","v":39.60608847878121},{"$f":"MIN(I96,'Speed-Vol., non-Cordon'!$Y$6)","v":17.04181639881827},{"$f":"MIN(J96,'Speed-Vol., non-Cordon'!$Y$6)","v":19.887390966342785},{"$f":"MIN(K96,'Speed-Vol., non-Cordon'!$Y$6)","v":22.585516824021433},{"$f":"MIN(L96,'Speed-Vol., non-Cordon'!$Y$6)","v":14.986926262767714},{"$f":"MIN(M96,'Speed-Vol., non-Cordon'!$Y$6)","v":26.067562265419163},null,null,{"$f":"ROW()","v":97}]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",P99, \" & \",P100,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 99 & 100)"},null,null,null,null,{"$f":"1/G97","v":1.8181818181818181E-2},2.5248643287148785E-2,5.8679191032086402E-2,5.0283116658811085E-2,4.4276161922335251E-2,6.6724822853390403E-2,3.8361853318619861E-2,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 6am - 6pm",null,null,{"$f":"(I$72*I47+J$72*J47+K$72*K47+L$72*4)/(I72*I47*I98+J72*J47*J98+K72*K47*K98+L72*4*L98)","v":17.676634284532565},null,null,null,null,{"$f":"ROW()","v":99}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 24 hour",null,null,{"$f":"O70/SUMPRODUCT(G98:M98,G70:M70)","v":20.425928356163091},null,null,null,null,{"$f":"ROW()","v":100}]
[null,"1C. Final Calculations",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":102}]
[null,"1. Vehicle Hours in Traffic Within Cordon",null,null,null,null,{"$f":"'Motor Vs'!G164/G87","v":21015.195289522922},{"$f":"'Motor Vs'!H164/H87","v":4277.8387978631981},{"$f":"'Motor Vs'!I164/I87","v":47702.325996785483},{"$f":"'Motor Vs'!J164/J87","v":14822.620449754142},{"$f":"'Motor Vs'!K164/K87","v":46569.814570239498},{"$f":"'Motor Vs'!L164/L87","v":122075.87499196726},{"$f":"'Motor Vs'!M164/M87","v":34502.259203591573},null,{"$f":"SUM(G103:M103)","v":290965.92929972411},{"$f":"ROW()","v":103}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",'Motor Vs'!O164, \" VMT figures in Motor Vs worksheet by Row \",P87, \" speeds. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles.\")","v":"Calculated as quotient of Row 164 VMT figures in Motor Vs worksheet by Row 87 speeds. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":105}]
[null,"Baseline vehicle hours in traffic within cordon",null,null,null,null,{"$f":"'Motor Vs'!G207","v":21509.324559195331},{"$f":"'Motor Vs'!H207","v":4475.1694748015479},{"$f":"'Motor Vs'!I207","v":66660.771002912661},{"$f":"'Motor Vs'!J207","v":22266.690840313149},{"$f":"'Motor Vs'!K207","v":63258.259057392752},{"$f":"'Motor Vs'!L207","v":175688.80721873918},{"$f":"'Motor Vs'!M207","v":52935.96850372351},null,{"$f":"SUM(G106:M106)","v":406794.9906570781},{"$f":"ROW()","v":106}]
[null,{"$f":"CONCATENATE(\"Taken from corresponding entry in Motor Vs, Row \",'Motor Vs'!O207)","v":"Taken from corresponding entry in Motor Vs, Row 207"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Preliminary difference in number of hours in traffic within cordon, as result of FreshDirect trucks (difference between rows \",P103, \" and \",P106,\")\")","v":"Preliminary difference in number of hours in traffic within cordon, as result of FreshDirect trucks (difference between rows 103 and 106)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O103-O106","v":-115829.06135735399},{"$f":"ROW()","v":108}]
[null,{"$f":"CONCATENATE(\"Adj. difference in hours in traffic w/i cordon, as result of FreshDirect trucks (multiplies truck delay factor from 'Delay Costs' worksheet, Row \",#REF!, \", times Row \",P108, \" figure)\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O108*#REF!","v":{"$error":"#REF!"}},{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":110},"Delays caused by FD trucks driving while performing non-CBD deliveries"]
[null,"2. Outside Cordon ",null,null,null,null,{"$f":"'Motor Vs'!G184/G97","v":111990.4815360224},{"$f":"'Motor Vs'!H184/H97","v":45814.19142565634},{"$f":"'Motor Vs'!I184/I97","v":545912.8482609333},{"$f":"'Motor Vs'!J184/J97","v":144324.30656014258},{"$f":"'Motor Vs'!K184/K97","v":471149.44926374295},{"$f":"'Motor Vs'!L184/L97","v":1310371.4472106651},{"$f":"'Motor Vs'!M184/M97","v":282190.89145098731},null,{"$f":"SUM(G111:M111)","v":2911753.61570815},{"$f":"ROW()","v":111},"Factor denoting number of delivery trucks for non-CBD, relative to CBD",null,null,null,null,null,{"$f":"(1-H244)/H244","v":1}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",'Motor Vs'!O184, \" VMT figures in Motor Vs worksheet by Row \",P97, \" speeds in this worksheet. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles.\")","v":"Calculated as quotient of Row 184 VMT figures in Motor Vs worksheet by Row 97 speeds in this worksheet. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112},{"$f":"CONCATENATE(\"Ratio of complement of percentage in Cell I\",P244, \" to Cell I\",P244, \" itself.\")","v":"Ratio of complement of percentage in Cell I244 to Cell I244 itself."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":113},"Factor reflecting non-CBD miles for non-CBD deliveries, relative to same for CBD deliveries",null,null,null,null,null,{"$f":"I253/H253","v":1.5100671140939599}]
[null,"Baseline vehicle hours in traffic outside cordon",null,null,null,null,{"$f":"'Motor Vs'!G1060","v":111990.4815360224},{"$f":"'Motor Vs'!H1060","v":45180.228043883733},{"$f":"'Motor Vs'!I1060","v":534594.24334133998},{"$f":"'Motor Vs'!J1060","v":141946.84824274344},{"$f":"'Motor Vs'!K1060","v":459124.77156853332},{"$f":"'Motor Vs'!L1060","v":1261928.7659085172},{"$f":"'Motor Vs'!M1060","v":277197.56746023538},null,{"$f":"SUM(G114:M114)","v":2831962.9061012752},{"$f":"ROW()","v":114},{"$f":"CONCATENATE(\"Ratio of wghtd avg of non-CBD miles for non-CBD deliveries in Cell L \",P253, \" to non-CBD miles for CBD delivs in Cell I\",P253, \".\")","v":"Ratio of wghtd avg of non-CBD miles for non-CBD deliveries in Cell L 253 to non-CBD miles for CBD delivs in Cell I253."}]
[null,{"$f":"CONCATENATE(\"Taken from corresponding entry in Motor Vs, Row \",'Motor Vs'!O1060)","v":"Taken from corresponding entry in Motor Vs, Row 1060"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":115},"Combined factor, non-CBD to CBD deliveries (non-CBD miles only)",null,null,null,null,null,{"$f":"W111*W113","v":1.5100671140939599}]
[null,{"$f":"CONCATENATE(\"Preliminary difference in number of hours in traffic outside cordon, as result of FreshDirect trucks (difference between rows \",P111, \" and \",P114,\")\")","v":"Preliminary difference in number of hours in traffic outside cordon, as result of FreshDirect trucks (difference between rows 111 and 114)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O111-O114","v":79790.709606874734},{"$f":"ROW()","v":116},{"$f":"CONCATENATE(\"Product of Cells in Rows \",P104, \" and \",P106, \".\")","v":"Product of Cells in Rows 104 and 106."}]
[null,{"$f":"CONCATENATE(\"Adj. difference in hours in traffic outside cordon, as result of FreshDirect trucks (multiplies truck delay factor from 'Delay Costs' worksheet, Row \",#REF!, \", times Row \",P116, \" figure)\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O116*#REF!","v":{"$error":"#REF!"}},{"$f":"ROW()","v":117},{"$f":"O117*W115","v":{"$error":"#REF!"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118},{"$f":"CONCATENATE(\"Product of delay hours shown in Cell O\",P106, \" and ratio shown in Cell W\",P108, \".\")","v":"Product of delay hours shown in Cell O106 and ratio shown in Cell W108."}]
[null,"3. Within and Outside Cordon, combined",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":119}]
[null,"Delay time attributable to driving FreshDirect trucks into, within and back from CBD destinations (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"(O109+O117)","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":120}]
[null,"Delay time attributable to driving FreshDirect trucks into, within and back from non-CBD destinations (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"Q117","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":121}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,"Part Two: Delay Estimates due to Parking FreshDirect Trucks within Manhattan CBD (weekdays)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,{"$f":"CONCATENATE(\"Delays caused by FD trucks parking in non-CBD destinations are estimated by extrapolation. See Rows \",P160, \"-\",P168, \", starting in Column Q.\")","v":"Delays caused by FD trucks parking in non-CBD destinations are estimated by extrapolation. See Rows 160-168, starting in Column Q."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Parked Truck Parameters",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,"Fresh-Direct trucks rarely if ever park at curbside. Rather they are invariably double-parked, which means they take a lane out of service for some distance. We assume that one (double-)parked truck effectively removes from service one lane for one-half of a short block. We thus take the number of acres in a lane-mile (from Cordon worksheet), divide by 20 (to reflect 20 short blocks to a mile) and then halve that.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Street space appropriated by one truck (acres)",null,null,null,null,{"$f":"0.5*Cordon!J298/20","v":3.5070785070785072E-2},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Acres per lane-mile (from Cordon), halved (1/2 block impact) and div'd by 20 (blocks/mile).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,"Area used by entire CBD fleet if parked 24-7 (acres)",null,null,null,null,{"$f":"G131*G267","v":2.6303088803088803},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"Product of acres per truck in Row \",P131, \" and fleet size in Row \",P267, \".\")","v":"Product of acres per truck in Row 131 and fleet size in Row 267."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"Street area of entire CBD (acres)",null,null,null,null,{"$f":"Cordon!G322","v":1260},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"From Cordon worksheet",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"% of street area removed from service if FD trucks parked 24-7",null,null,null,null,{"$f":"G133/G135","v":2.0875467304038733E-3},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P133, \" to Row \",P135, \".\")","v":"Ratio of Row 133 to Row 135."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Delay Calculations due to parked trucks",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,{"$f":"G45","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Total",null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"ROW()","v":142}]
[null,"Baseline Speeds in CBD",null,null,null,null,{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,null,{"$f":"ROW()","v":143}]
[null,{"$f":"CONCATENATE(\"Baseline values in Motor Vs worksheet, Row \",'Motor Vs'!O201,)","v":"Baseline values in Motor Vs worksheet, Row 201"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Coincidence of period with FD delivery schedule",null,null,null,null,0,0,0,0,0,1,{"$f":"2/3","v":0.66666666666666663},null,null,{"$f":"ROW()","v":145}]
[null,"Komanoff assumptions, predicated on 2-10 p.m. delivery schedule",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Hours in which FD trucks are parked, upper limit",null,null,null,null,{"$f":"G145*6","v":0},{"$f":"H145*1","v":0},{"$f":"I145*3","v":0},{"$f":"J145*1","v":0},{"$f":"K145*4","v":0},{"$f":"L145*6","v":6},{"$f":"M145*3","v":2},null,null,{"$f":"ROW()","v":147}]
[null,"Miles driven by FD trucks in CBD in period",null,null,null,null,{"$f":"G147/($L$147+$M$147)*2*$N$28","v":0},0,0,0,0,4.8000000000000007,1.6,null,null,{"$f":"ROW()","v":148}]
[null,{"$f":"CONCATENATE(\"Apportions cordon miles in Row \",P28, \" per hours shown in Row \",P147, \".\")","v":"Apportions cordon miles in Row 28 per hours shown in Row 147."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,"Hours in which FD trucks are driven in period",null,null,null,null,{"$f":"G148/G143","v":0},0,0,0,0,0.81321248903156484,0.18735082444883785,null,null,{"$f":"ROW()","v":150}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P148, \" to Row \",P143, \".\")","v":"Ratio of Row 148 to Row 143."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,"Actual hours FD trucks are parked in period",null,null,null,null,{"$f":"G147-G150","v":0},0,0,0,0,5.1867875109684354,1.8126491755511622,null,null,{"$f":"ROW()","v":152}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",P147, \" and \",P150, \".\")","v":"Difference between Rows 147 and 150."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Percentage of period in which FD trucks are parked",null,null,null,null,{"$f":"G152/6","v":0},{"$f":"H152/1","v":0},{"$f":"I152/3","v":0},{"$f":"J152/1","v":0},{"$f":"K152/4","v":0},{"$f":"L152/6","v":0.8644645851614059},{"$f":"M152/3","v":0.60421639185038745},null,null,{"$f":"ROW()","v":154}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P152, \" to actual hours in period.\")","v":"Ratio of Row 152 to actual hours in period."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":155}]
[null,"Effective % of CBD street area removed from service in period due to parked FD trucks ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,null,null,null,null,null,{"$f":"G154*$G$137","v":0},0,0,0,0,1.8046102183036335E-3,1.2613299532637018E-3,null,null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P154, \" and \",P137, \".\")","v":"Product of Rows 154 and 137."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Effective factor increase in traffic vol. from FD trucks parked ",null,null,null,null,{"$f":"1/(1-G157)","v":1},1,1,1,1,1.0018078727238946,1.0012629229157659,null,null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"Complement of percents in Row \",P156, \".\")","v":"Complement of percents in Row 156."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160},"Delays caused by FD trucks parking while performing non-CBD deliveries"]
[null,"Speeds w/ FD truck space unavailable for other veh's",null,null,null,null,{"$f":"KSC/(1+0.1*(G72*G159/V_sub_k)^KSE)","v":20.748534714596612},19.855874444556321,10.109760475750242,10.851259816630398,12.531310117985823,8.457121502322904,13.076143531420632,null,null,{"$f":"ROW()","v":161},"Factor denoting number of delivery trucks for non-CBD, relative to CBD",null,null,null,null,null,{"$f":"(1-H244)/H244","v":1}]
[null,{"$f":"CONCATENATE(\"Calculated for P.M. Peak and P.M. Post-Peak by applying baseline traffic volumes in Row \",P72, \" by factor incrs in Row \",P159, \" and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet. Speeds for other periods are same as in Row \",P143, \".\")","v":"Calculated for P.M. Peak and P.M. Post-Peak by applying baseline traffic volumes in Row 72 by factor incrs in Row 159 and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet. Speeds for other periods are same as in Row 143."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162},{"$f":"CONCATENATE(\"Ratio of complement of percentage in Cell I\",P244, \" to Cell I\",P244, \" itself.\")","v":"Ratio of complement of percentage in Cell I244 to Cell I244 itself."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163},"Factor reflecting relative congestion intensity of non-CBD neighborhoods to CBD",null,null,null,null,null,{"$f":"I254","v":0.5}]
[null,"Hours spent in traffic with new speeds",null,null,null,null,{"$f":"'Motor Vs'!G164/G161","v":21015.195289522922},{"$f":"'Motor Vs'!H164/H161","v":4277.8387978631981},{"$f":"'Motor Vs'!I164/I161","v":47702.325996785483},{"$f":"'Motor Vs'!J164/J161","v":14822.620449754142},{"$f":"'Motor Vs'!K164/K161","v":46569.814570239498},{"$f":"'Motor Vs'!L164/L161","v":122619.26875806453},{"$f":"'Motor Vs'!M164/M161","v":34572.879963310712},{"$f":"SUM(G164:M164)","v":291579.94382554054},null,{"$f":"ROW()","v":164},{"$f":"CONCATENATE(\"Komanoff assumption entered in Cell I\",P254, \".\")","v":"Komanoff assumption entered in Cell I254."}]
[null,{"$f":"CONCATENATE(\"Baseline hours in traffic (from 'Motor Vs' worksheet, Row \",'Motor Vs'!O207, \").\")","v":"Baseline hours in traffic (from 'Motor Vs' worksheet, Row 207)."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!N207","v":406794.9906570781},null,{"$f":"ROW()","v":165},"Combined factor, non-CBD to CBD deliveries",null,null,null,null,null,{"$f":"W161*W163","v":0.5}]
[null,"Number of hours of delay due to parked trucks",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N164-N165","v":-115215.04683153756},null,{"$f":"ROW()","v":166},{"$f":"CONCATENATE(\"Product of Cells in Rows \",P165, \" and \",P167, \".\")","v":"Product of Cells in Rows 165 and 167."}]
[null,"Multiply by truck delay factor (which is one because truck size is already taken into account in estimating lane-miles removed from service per double-parked truck)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N166*1","v":-115215.04683153756},null,{"$f":"ROW()","v":167},{"$f":"N167*W165","v":-57607.523415768781}]
[null,"Delay time attributable to parking FreshDirect trucks within CBD (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"N167","v":-115215.04683153756},null,null,{"$f":"ROW()","v":168},{"$f":"CONCATENATE(\"Product of delay hours shown in Cell N\",P167, \" and ratio shown in Cell W\",P165, \".\")","v":"Product of delay hours shown in Cell N167 and ratio shown in Cell W165."}]
[null,"Delay time attributable to parking FreshDirect trucks outside CBD (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"Q167","v":-57607.523415768781},null,null,{"$f":"ROW()","v":169}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":170}]
[null,"Part Three: Weekday Summary ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":172}]
[null,"Weekday Summary ",null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":173}]
[null,null,null,null,null,null,"Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD",{"$f":"ROW()","v":174}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":175}]
[null,"Delays (hours), per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Caused by FD trucks driving w/i CBD",null,null,null,null,{"$f":"O109","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"H177*G177","v":{"$error":"#REF!"}},{"$f":"S109","v":0},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"K177*J177","v":0},{"$f":"G177+J177","v":{"$error":"#REF!"}},null,{"$f":"I177+L177","v":{"$error":"#REF!"}},{"$f":"ROW()","v":177}]
[null,"Caused by FD trucks driving outside CBD",null,null,null,null,{"$f":"O117","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"H178*G178","v":{"$error":"#REF!"}},{"$f":"Q117","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"K178*J178","v":{"$error":"#REF!"}},{"$f":"G178+J178","v":{"$error":"#REF!"}},null,{"$f":"I178+L178","v":{"$error":"#REF!"}},{"$f":"ROW()","v":178}]
[null,"Caused by FD trucks parked w/i CBD",null,null,null,null,{"$f":"N167","v":-115215.04683153756},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"H179*G179","v":-5940761.5262727123},null,null,null,{"$f":"G179+J179","v":-115215.04683153756},null,{"$f":"I179+L179","v":-5940761.5262727123},{"$f":"ROW()","v":179}]
[null,"Caused by FD trucks parked outside CBD",null,null,null,null,null,null,null,{"$f":"Q167","v":-57607.523415768781},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"K180*J180","v":-1693016.3457472813},{"$f":"G180+J180","v":-57607.523415768781},null,{"$f":"I180+L180","v":-1693016.3457472813},{"$f":"ROW()","v":180}]
[null,{"$f":"CONCATENATE(\"Delay hours are copied from results derived in Parts One & Two, above. Costs per delay hour are from Cost-Benefit worksheet, Row \",'Cost-Benefit'!O236, \" for CBD and Row \",'Cost-Benefit'!O250, \" for non-CBD.\")","v":"Delay hours are copied from results derived in Parts One & Two, above. Costs per delay hour are from Cost-Benefit worksheet, Row 236 for CBD and Row 250 for non-CBD."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Total daily delay due to FD deliveries to CBD, hrs",null,null,null,null,{"$f":"SUM(G177:G179)","v":{"$error":"#REF!"}},null,{"$f":"SUM(I177:I179)","v":{"$error":"#REF!"}},{"$f":"SUM(J177:J179)","v":{"$error":"#REF!"}},null,{"$f":"SUM(L177:L179)","v":{"$error":"#REF!"}},{"$f":"G183+J183","v":{"$error":"#REF!"}},null,{"$f":"I183+L183","v":{"$error":"#REF!"}},{"$f":"ROW()","v":183}]
[null,"Daily delay per FD truck delivering to CBD, hrs",null,null,null,null,{"$f":"G183/$G$267","v":{"$error":"#REF!"}},null,{"$f":"I183/$G$267","v":{"$error":"#REF!"}},{"$f":"J183/$G$267","v":{"$error":"#REF!"}},null,{"$f":"L183/$G$267","v":{"$error":"#REF!"}},{"$f":"M183/$E$259","v":{"$error":"#REF!"}},null,{"$f":"O183/$E$259","v":{"$error":"#REF!"}},{"$f":"ROW()","v":184}]
[null,"Delay from one FD delivery in CBD, minutes / $",null,null,null,null,{"$f":"60*G184/$E$260","v":{"$error":"#REF!"}},null,{"$f":"I184/$E$260","v":{"$error":"#REF!"}},{"$f":"60*J184/$E$260","v":{"$error":"#REF!"}},null,{"$f":"L184/$E$260","v":{"$error":"#REF!"}},{"$f":"60*M184/$E$260","v":{"$error":"#REF!"}},null,{"$f":"O184/$E$260","v":{"$error":"#REF!"}},{"$f":"ROW()","v":185}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":186}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":189}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":190}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,"Part Four: Extrapolation to Weekends",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,"We prorate weekend impacts from weekday impacts above. This obviates the need for a similarly complex calculation and fits both the approximate nature of the exercise and the smaller impacts on weekends (due to lesser weekend traffic and fewer weekend days).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,"For Script Do Not Touch",null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Ratio of weekend to weekday CBD delay impacts from additional trip into CBD",null,null,null,null,null,0.98048900631534974,null,null,{"$f":"#REF!/#REF!","v":{"$error":"#REF!"}},{"$f":"#REF!/#REF!","v":{"$error":"#REF!"}},null,null,null,{"$f":"ROW()","v":211}]
[null,{"$f":"CONCATENATE(\"Ratio of respective Row \",#REF!, \" figures from 'Delays Weekends' and 'Delays Weekends' worksheets, when former is set to Midday Peak and latter to Shoulder 1.\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,"Ratio of weekend to weekday non-CBD delay impacts from additional trip into CBD",null,null,null,null,null,0.76968142186927246,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,{"$f":"CONCATENATE(\"Same note as in Row \",P212, \", except that Row \",#REF!, \" figures are used.\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":216}]
[null,"Weekend Summary ",null,null,null,null,"Hours of delays due to F. Direct","Cost per each delay-hour","Cost of delays due to F. Direct","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD",{"$f":"ROW()","v":217}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":218}]
[null,"Delays (hours), per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":219}]
[null,"Caused by FD trucks driving w/i CBD",null,null,null,null,{"$f":"G177*$H$211","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$236","v":30.937425395273426},{"$f":"H220*G220","v":{"$error":"#REF!"}},{"$f":"J177*$H$211","v":0},{"$f":"'Cost-Benefit'!$J$236","v":30.937425395273426},{"$f":"K220*J220","v":0},{"$f":"G220+J220","v":{"$error":"#REF!"}},null,{"$f":"I220+L220","v":{"$error":"#REF!"}},{"$f":"ROW()","v":220}]
[null,"Caused by FD trucks driving outside CBD",null,null,null,null,{"$f":"G178*$H$214","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"H221*G221","v":{"$error":"#REF!"}},{"$f":"J178*$H$214","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K221*J221","v":{"$error":"#REF!"}},{"$f":"G221+J221","v":{"$error":"#REF!"}},null,{"$f":"I221+L221","v":{"$error":"#REF!"}},{"$f":"ROW()","v":221}]
[null,"Caused by FD trucks parked w/i or outside CBD",null,null,null,null,{"$f":"G179*$H$211","v":-112967.08678043075},{"$f":"'Cost-Benefit'!$J$236","v":30.937425395273426},{"$f":"H222*G222","v":-3494910.8193909554},{"$f":"J179*$H$211","v":0},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K222*J222","v":0},{"$f":"G222+J222","v":-112967.08678043075},null,{"$f":"I222+L222","v":-3494910.8193909554},{"$f":"ROW()","v":222}]
[null,{"$f":"CONCATENATE(\"Delay hours are calculated by multiplying results in Rows \",P176,\"-\",P178,\" by respective weekend/weekday ratios in Rows \",P191,\" and \",P194,\".\")","v":"Delay hours are calculated by multiplying results in Rows 176-178 by respective weekend/weekday ratios in Rows 191 and 194."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Total daily delay due to FD deliveries to CBD, hrs",null,null,null,null,{"$f":"SUM(G220:G222)","v":{"$error":"#REF!"}},null,{"$f":"SUM(I220:I222)","v":{"$error":"#REF!"}},{"$f":"SUM(J220:J222)","v":{"$error":"#REF!"}},null,{"$f":"SUM(L220:L222)","v":{"$error":"#REF!"}},{"$f":"G225+J225","v":{"$error":"#REF!"}},null,{"$f":"I225+L225","v":{"$error":"#REF!"}},{"$f":"ROW()","v":225}]
[null,"Daily delay per FD truck delivering to CBD, hrs",null,null,null,null,{"$f":"G225/$G$267","v":{"$error":"#REF!"}},null,{"$f":"I225/$G$267","v":{"$error":"#REF!"}},{"$f":"J225/$G$268","v":{"$error":"#REF!"}},null,{"$f":"L225/$G$268","v":{"$error":"#REF!"}},{"$f":"M225/$E$259","v":{"$error":"#REF!"}},null,{"$f":"O225/$E$259","v":{"$error":"#REF!"}},{"$f":"ROW()","v":226}]
[null,"Delay from one FD delivery in CBD, minutes / $",null,null,null,null,{"$f":"60*G226/$E$260","v":{"$error":"#REF!"}},null,{"$f":"I226/$E$260","v":{"$error":"#REF!"}},{"$f":"60*J226/$E$260","v":{"$error":"#REF!"}},null,{"$f":"L226/$E$260","v":{"$error":"#REF!"}},{"$f":"60*M226/$E$260","v":{"$error":"#REF!"}},null,{"$f":"O226/$E$260","v":{"$error":"#REF!"}},{"$f":"ROW()","v":227}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":228}]
[null,"Annual Summary ",null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":229}]
[null,null,null,null,null,null,"Weekdays","Weekends","Avg or Total","Weekdays","Weekends","Avg or Total","Weekdays","Weekends","Avg or Total",{"$f":"ROW()","v":230}]
[null,"Per delivery",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":231}]
[null,"Total delays from one FD delivery, minutes",null,null,null,null,{"$f":"G185","v":{"$error":"#REF!"}},{"$f":"G227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G232:H232,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"J185","v":{"$error":"#REF!"}},{"$f":"J227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J232:K232,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"M185","v":{"$error":"#REF!"}},{"$f":"M227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(M232:N232,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"ROW()","v":232}]
[null,"Number of applicable days per year",null,null,null,null,{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"G233+H233","v":365},{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"J233+K233","v":365},{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"M233+N233","v":365},{"$f":"ROW()","v":233}]
[null,"Delay cost from one FD delivery",null,null,null,null,{"$f":"I185","v":{"$error":"#REF!"}},{"$f":"I227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G234:H234,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"L185","v":{"$error":"#REF!"}},{"$f":"L227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J234:K234,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"O185","v":{"$error":"#REF!"}},{"$f":"O227","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(M234:N234,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"ROW()","v":234}]
[null,"For all deliveries, per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":235}]
[null,"Total delays from all FD deliveries, hours",null,null,null,null,{"$f":"G232*$E$258*$H$244/60","v":{"$error":"#REF!"}},{"$f":"H232*$E$258*$H$244/60","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G236:H236,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"J232*$E$258*$H$244/60","v":{"$error":"#REF!"}},{"$f":"K232*$E$258*$H$244/60","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J236:K236,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"G236+J236","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":236}]
[null,"Delay cost from all FD deliveries",null,null,null,null,{"$f":"G234*$E$258*$H$244","v":{"$error":"#REF!"}},{"$f":"H234*$E$258*$H$244","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G237:H237,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$f":"J234*$E$258*$H$244","v":{"$error":"#REF!"}},{"$f":"K234*$E$258*$H$244","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J237:K237,$G$233:$H$233)/$I$233","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":237}]
[null,"For all deliveries, per year, millions of dollars",null,null,null,null,{"$f":"G237*G233/1000000","v":{"$error":"#REF!"}},{"$f":"H237*H233/1000000","v":{"$error":"#REF!"}},{"$f":"G238+H238","v":{"$error":"#REF!"}},{"$f":"J237*J233/1000000","v":{"$error":"#REF!"}},{"$f":"K237*K233/1000000","v":{"$error":"#REF!"}},{"$f":"J238+K238","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":238}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":239}]
[null,"Part Five: Our Assumptions re FreshDirect Operations from Long Island City depot",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":241}]
[null,null,null,null,null,null,null,"Delivery Destinations",null,"Note that we used mean of the 3 routes below, absent info from FreshDirect. Interestingly, a driver whom we interviewed at Lexington Ave. & E 29 St said he is instructed to use the toll-free QB Bridge instead of the much closer (to FD's L.I.C. depot) but tolled Qns-Midtown Tunnel. Substituting QBB for some or all QMT traffic would increase our delay estimates.",null,null,null,null,null,{"$f":"ROW()","v":242}]
[null,null,null,null,null,null,null,"CBD","Other",null,null,null,null,null,null,{"$f":"ROW()","v":243}]
[null,"Delivery breakdown ",null,null,null,null,"(Komanoff assumptions)",0.5,{"$f":"1-H244","v":0.5},null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Number of daily trucks delivering to area",null,null,null,null,{"$f":"CONCATENATE(\"Product of Rows \",P259, \" and \", P244, \".\")","v":"Product of Rows 259 and 244."},{"$f":"H244*$E$259","v":75},{"$f":"I244*$E$259","v":75},"Route Miles (1-way)",null,"QMT","Williansburg","Manhattan","Mean",{"$f":"ROW()","v":245}]
[null,"Miles to truck staging area (1-way)",null,null,null,null,"(Komanoff, see data at right)",{"$f":"H247+H248","v":6.6666666666666661},{"$f":"I247+I248","v":6},"1. Outside cordon",null,2,4.8,8.1,{"$f":"AVERAGE(L246:N246)","v":4.9666666666666659},{"$f":"ROW()","v":246}]
[null,"Of which miles driven to staging area within CBD:",null,null,null,null,"(Komanoff, see data at right)",{"$f":"O247","v":1.7000000000000002},0,"2. Cordon to delivery area",null,2.1,1.8,1.2,{"$f":"AVERAGE(L247:N247)","v":1.7000000000000002},{"$f":"ROW()","v":247}]
[null,"Miles driven outside CBD to staging area (1-way)",null,null,null,null,{"$f":"CONCATENATE(\"Row \",P245, \" minus Row \", P246, \".\")","v":"Row 245 minus Row 246."},{"$f":"O246","v":4.9666666666666659},6,"3. Hovering/delivering (tot.)",null,3.5,3,2.5,{"$f":"AVERAGE(L248:N248)","v":3},{"$f":"ROW()","v":248}]
[null,"Miles driven hovering/delivering w/i deliv zone (total)",null,null,null,null,"(Komanoff assumptions)",{"$f":"O248","v":3},{"$f":"O248","v":3},"#1: Via Google Maps, using major highways from FD through bridge/tunnel to Manh portal.",null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Of which miles driven within CBD are ",null,null,null,null,null,3,0,"#2: Mapped by KEA, from Manhattan side of portal to each respective delivery zone.",null,null,null,null,null,{"$f":"ROW()","v":250}]
[null,"And miles driven outside CBD are",null,null,null,null,null,{"$f":"H249-H250","v":0},{"$f":"I249-I250","v":3},"#3: Estimated by KEA; reflects miles circulating within the delivery zone.",null,null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Total miles driven within CBD, per truck",null,null,null,null,{"$f":"CONCATENATE(\"Twice Row \",P247, \" plus Row \", P250, \".\")","v":"Twice Row 247 plus Row 250."},{"$f":"2*H247+H250","v":6.4},{"$f":"2*I247+I250","v":0},null,null,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Total miles driven outside CBD, per truck",null,null,null,null,{"$f":"CONCATENATE(\"Twice Row \",P248, \" plus Row \", P251, \".\")","v":"Twice Row 248 plus Row 251."},{"$f":"2*H248+H251","v":9.9333333333333318},{"$f":"2*I248+I251","v":15},{"$f":"CONCATENATE(\"Congestion Index reflects rough result that per-mile congestion causation on approaches to CBD is half that within CBD. See array in 'Delays' worksheet, Rows \",#REF!, \" and \",#REF!, \".\")","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Congestion Index vis-à-vis CBD",null,null,null,null,null,1,{"$f":"1/2","v":0.5},null,null,null,null,null,null,{"$f":"ROW()","v":254}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":255}]
[null,"Deliveries",null,null,null,null,"Sources",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":256}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":257}]
[null,"Deliveries per day",null,null,7000,null,"http://www.nytimes.com/2009/04/25/nyregion/25fresh.html",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":258}]
[null,"Number of vehicles (trucks)",null,null,150,null,"Same as above. Note that 25-June-2009 email from PR firm representing FreshDirect reported 140 trucks, 6,000-7,000 deliveries/day.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":259}]
[null,"Deliveries per vehicle (calculated)",null,null,{"$f":"E258/E259","v":46.666666666666664},null,{"$f":"CONCATENATE(\"Ratio of Row \",P258, \" to Row \",P259, \".\")","v":"Ratio of Row 258 to Row 259."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":260}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":261}]
[null,"CBD Crossing Times",null,null,null,"Enter","Leave",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Weekday",null,null,null,"1:30pm","12pm",null,"Based on FreshDirect Website guidelines for delivery times (weekdays, 2-11 pm; weekends, 7:30 am - 9 pm)",null,null,null,null,null,null,{"$f":"ROW()","v":263}]
[null,"Weekend",null,null,null,"7am","9pm",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"Acres in cordon",null,null,null,null,5040,null,"Google Maps",null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"Manhattan delivery trucks",null,null,null,null,{"$f":"E259*H244","v":75},null,"KEA estimate, on premise that one-half of deliveries are within Manhattan CBD.",null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Delivery trucks to districts outside Manhattan CBD",null,null,null,null,{"$f":"E259-G267","v":75},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Average size of truck's region (acres)",null,null,null,null,{"$f":"G266/G267","v":67.2},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"2008 sales",null,null,null,"$215 million",null,null,"Crain's New York Business, June 1, 2009, \"Defying Odds, FreshDirect Delivers Gains\"",null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"2009 sales",null,null,null,"$240 million",null,null,"(same)",null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"# of frequent users",null,null,null,35000,null,null,"(same)",null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"% of revenue from frequent users",null,null,null,0.6,null,null,"(same)",null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,"Average purchase",null,null,null,160,null,null,"(same, although several drivers interviewed indicated that the average for all users is appreciably less, perhaps in the $120 range)",null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]
[null,"Crain's \"Book of Lists, 2010\" special issue, published Dec. 2009, ranked FreshDirect at #102 among the NY area's privately held companies, with the same 2008 and 2009 sales figures shown directly above, and 1,800 employees.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":278}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":279}]

{"sheet":"FreshDirect Bronx","index":71,"n_rows":277,"n_cols":78,"rows_kept":277,"cut":false,"hidden":false,"merged":[[48,70,48,76],[46,70,46,76],[53,70,53,76],[247,8,248,8],[247,9,248,9],[247,10,248,10],[247,11,248,11],[47,61,47,68],[91,1,93,11],[102,1,103,11],[178,12,178,14],[179,12,181,12],[179,13,181,13],[179,14,181,14],[119,12,119,14],[174,12,174,14],[19,70,19,77],[16,1,17,10],[18,7,18,8],[19,7,19,8],[19,16,19,23],[19,25,19,32],[19,34,19,41],[19,43,19,50],[19,52,19,59],[19,61,19,68],[20,61,20,68],[28,16,28,23],[28,25,28,32],[28,34,28,41],[28,43,28,50],[28,52,28,59],[28,61,28,68],[20,52,20,59],[20,43,20,50],[20,16,20,23],[20,25,20,32],[20,34,20,41],[47,52,47,59],[47,25,47,32],[47,34,47,41],[47,43,47,50],[37,16,37,23],[47,16,47,23],[118,12,118,14],[125,1,128,8],[173,12,173,14],[3,1,8,10],[110,1,111,11],[160,1,161,5],[3,12,8,14],[20,7,20,8],[42,5,45,5],[42,6,42,14],[34,11,35,13],[186,1,187,6],[212,1,214,7],[221,6,223,6],[221,7,223,7],[221,8,223,8],[179,6,181,6],[179,7,181,7],[179,8,181,8],[178,6,178,8],[178,9,178,11],[179,9,181,9],[179,10,181,10],[179,11,181,11],[263,9,264,14],[275,1,276,11],[220,6,220,8],[220,9,220,11],[220,12,220,14],[233,6,233,8],[233,9,233,11],[233,12,233,14],[221,9,223,9],[221,10,223,10],[221,11,223,11],[221,12,223,12],[221,13,223,13],[221,14,223,14],[246,8,246,11],[265,6,266,14]]}
[null,"FreshDirect Bronx",null,null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,"Requires revision to adapt columns to change in vehicle categories in Motor Vs tab from early Nov. 2017",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet estimates delays that will be imposed on other vehicle users by operation of an expanded distribution center that FreshDirect Co. seeks to build and operate in the South Bronx. It follows the format of the preceding worksheet, FreshDirect, which treats current FreshDirect operations in and from Long Island City in Queens. The first part, Delay Estimates due to Driving, calculates delays due to movement of trucks between the prospective South Bronx depot and customers in New York City. The second part, Delay Estimates due to Parking, estimates the loss of street space due to the trucks' double-parking and calculates the resulting slowing of traffic and drivers' lost time. Later parts summarizes the results and present input assumptions.",null,null,null,null,null,null,null,null,null,null,"This analysis, from early May 2012, improves on and supersedes the analysis underlying my Feb 9, 2012 testimony before the New York City Industrial Development Agency.",null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Part One: Delay Estimates due to Driving FreshDirect Trucks to, within and back from the Manhattan Central Business District",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,{"$f":"CONCATENATE(\"NB: Delays caused by FD trucks driving to non-CBD destinations are estimated by extrapolation. See Rows \",P109, \"-\",P117, \", starting in Column Q.\")","v":"NB: Delays caused by FD trucks driving to non-CBD destinations are estimated by extrapolation. See Rows 109-117, starting in Column Q."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,"1A. General Traffic Estimates (24-hour weekday basis)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"1. Breakout of m.v. trips into cordon (will also apply to trips leaving zone)",null,null,null,null,null,"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus","FreshDirect","Total",{"$f":"ROW()","v":16}]
[null,"This section recapitulates the Motor Vs and Delays worksheets. It maintains that structure, rather than simply importing the data from those worksheets, in order to preserve the ability to invoke the 'Baseline Traffic Reduction' parameter in Policy Levers, to reflect lower (or higher) traffic levels.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From Row \",P272,)","v":"From Row 272"},null,{"$f":"ROW()","v":18}]
[null,{"$f":"'Motor Vs'!B35","v":"Daily motor vehicle trips into \"Hub\" as defined by NYMTC"},null,null,null,null,null,{"$f":"'Motor Vs'!I35-K19","v":636700},null,0,{"$f":"'Motor Vs'!L44","v":32900},{"$f":"'Motor Vs'!M35","v":46200},{"$f":"'Motor Vs'!N35","v":54900},{"$f":"G272","v":126.66666666666666},{"$f":"SUM(H19:N19)","v":770826.66666666663},{"$f":"ROW()","v":19}]
[null,"Share of each mode's trips that are est'd to be through-trips",null,null,null,null,null,{"$f":"'Motor Vs'!I46","v":0.32},null,{"$f":"'Motor Vs'!K46","v":"N.A."},{"$f":"'Motor Vs'!L46","v":0},{"$f":"'Motor Vs'!M46","v":0.27},{"$f":"'Motor Vs'!N46","v":0},0,null,{"$f":"ROW()","v":20},{"$f":"'Motor Vs'!P48","v":"AUTO TRIPS FOR WORK"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!Y48","v":"AUTO TRIPS FOR NON-WORK"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AH48","v":"THROUGH-TRIPS (AUTOS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AQ48","v":"TAXICABS (MEDALLION TAXIS ONLY)"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!AZ48","v":"TRUCKS & BUSES"},null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!BI48","v":"UBERLYFT"},null,null,null,null,null,null,null,null,"FRESH DIRECT TRUCKS"]
[null,"Redistribution of trips after allocating through-trips to own column",null,null,null,null,null,{"$f":"H19*(1-H20)","v":432955.99999999994},null,{"$f":"O19-(H21+SUM(K21:N21))","v":216218},{"$f":"K19*(1-K20)","v":32900},{"$f":"L19*(1-L20)","v":33726},{"$f":"M19*(1-M20)","v":54900},{"$f":"N19*(1-N20)","v":126.66666666666666},{"$f":"SUM(H21:N21)","v":770826.66666666663},{"$f":"ROW()","v":21},{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Data will appear in this 'column block' after Row \",$P$44,)","v":"Data will appear in this 'column block' after Row 44"}]
[null,"Percent of (non-taxi) auto trips that are work trips (derived in H.I.S. Worksheet)",null,null,null,null,null,{"$f":"H.I.S.!G128","v":0.58708201873587496},{"$f":"1-H22","v":0.41291798126412504},null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Final breakout without added cars (taken from Motor Vs)",null,null,null,null,null,{"$f":"'Motor Vs'!I85","v":225700},{"$f":"'Motor Vs'!J85","v":158700},{"$f":"'Motor Vs'!K85","v":100500},{"$f":"'Motor Vs'!L85","v":32900},{"$f":"'Motor Vs'!M85","v":40700},{"$f":"'Motor Vs'!N85","v":54900},0,{"$f":"SUM(H23:N23)","v":613400},{"$f":"ROW()","v":23}]
[null,"Final breakout with added cars",null,null,null,null,{"$f":"'Policy Levers'!K259","v":0},{"$f":"H21*H22*(1-$G$24)","v":254180.68250380945},{"$f":"H21*I22*(1-$G$24)","v":178775.31749619049},{"$f":"J23*(1-$G$24)","v":100500},{"$f":"K23*(1-$G$24)","v":32900},{"$f":"L23*(1-$G$24)","v":40700},{"$f":"M23*(1-$G$24)","v":54900},{"$f":"N21*(1-G24)","v":126.66666666666666},{"$f":"SUM(H24:N24)","v":662082.66666666663},{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,"Difference",{"$f":"H24-H23","v":28480.682503809454},20075.317496190488,0,0,0,0,126.66666666666666,{"$f":"SUM(H25:N25)","v":48682.666666666606},{"$f":"ROW()","v":25}]
[null,"Trip Distances for trips into cordon ",null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Rows \",P255, \"-\",P257,)","v":"Rows 255-257"},null,{"$f":"ROW()","v":26}]
[null,"Cordon miles for average trip (one way)",null,null,null,null,null,{"$f":"'Motor Vs'!I99","v":1.25},{"$f":"'Motor Vs'!J99","v":1.25},{"$f":"'Motor Vs'!K99","v":1.6},{"$f":"'Motor Vs'!L99","v":1.5},{"$f":"'Motor Vs'!M99","v":3},{"$f":"'Motor Vs'!N99","v":1.5},{"$f":"I255+I257/2","v":4.5},null,{"$f":"ROW()","v":27}]
[null,"Non-Cordon miles for average trip (one way) (total miles minus cordon miles)",null,null,null,null,null,{"$f":"'Motor Vs'!I93","v":16.85690937641937},{"$f":"'Motor Vs'!J93","v":16.85690937641937},{"$f":"'Motor Vs'!K93","v":25.285364064629057},{"$f":"'Motor Vs'!L93","v":6},{"$f":"'Motor Vs'!M93","v":15.548220939020323},{"$f":"'Motor Vs'!N93","v":6},{"$f":"I256","v":4},null,{"$f":"ROW()","v":28}]
[null,{"$f":"CONCATENATE(\"Both rows are taken from 'Motor Vs' worksheet, except that miles for FD are from this worksheet, Rows \",P255, \", \",P256, \", and \",P257, \", with circulating miles divided by two to produce one-way values.\")","v":"Both rows are taken from 'Motor Vs' worksheet, except that miles for FD are from this worksheet, Rows 255, 256, and 257, with circulating miles divided by two to produce one-way values."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"2. Cordon-crossing VMT",null,null,null,null,null,"Auto Work","Auto Non-Wk","Thru Trips","Taxicab","Truck","Bus",null,"Total",{"$f":"ROW()","v":31}]
[null,"Daily weekday cordon VMT of m.v. trips into and out of cordon",null,null,null,null,null,{"$f":"2*H24*H27","v":635451.70625952363},{"$f":"2*I24*I27","v":446938.29374047625},{"$f":"2*J24*J27","v":321600},{"$f":"(1+Taxis!L228)*K24*K27","v":86362.5},{"$f":"2*L24*L27","v":244200},{"$f":"2*M24*M27","v":164700},null,{"$f":"SUM(H32:M32)","v":1899252.5},{"$f":"ROW()","v":32}]
[null,"Calculated as 2x cordon entries times cordon miles per entry (all figures are doubled to account for return journeys, except that taxicabs use an outgoing-trip factor less than one (see Taxis).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,"Percentage breakdown",null,null,null,null,null,{"$f":"H32/$O$32","v":0.33457989722773757},0.2353232620415012,0.16932977579337133,4.5471836946377589E-2,0.12857690064907115,8.6718327341941112E-2,null,{"$f":"SUM(H34:M34)","v":0.99999999999999989},{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,"Bus figure here is hard-wired, pending revision of this tab to reflect consolidation w/ trucks.",null,null,null,{"$f":"ROW()","v":35}]
[null,"3. Intra-Cordon VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Additional intra-cordon VMT, as a percentage of crossing-cordon VMT ",null,null,null,null,null,{"$f":"'Motor Vs'!I113","v":0.14285714285714285},{"$f":"'Motor Vs'!J113","v":0.14285714285714285},{"$f":"'Motor Vs'!K113","v":0},{"$f":"'Motor Vs'!L113","v":"N.A."},{"$f":"'Motor Vs'!M113","v":0.2},0.5,null,null,{"$f":"ROW()","v":37}]
[null,"Komanoff ests. Note that 7 in 8 auto trips in Cordon are either inbound or outbound, while 1 in 8 are intra-Cordon trips (Schaller, \"Necessity or Choice,\" p. 25).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,"Daily weekday VMT of all m.v. trips occuring entirely within cordon",null,null,null,null,null,{"$f":"H$37*H32","v":90778.815179931946},{"$f":"I$37*I32","v":63848.327677210887},{"$f":"J$37*J32","v":0},{"$f":"Taxis!I486","v":620998.12503044493},{"$f":"L$37*L32","v":48840},{"$f":"M$37*M32","v":82350},null,{"$f":"SUM(H39:M39)","v":906815.26788758778},{"$f":"ROW()","v":39}]
[null,{"$f":"CONCATENATE(\"Products of percentages in row \",P37, \" and miles in row \",P32, \", except taxi figure is from Taxis worksheet.\")","v":"Products of percentages in row 37 and miles in row 32, except taxi figure is from Taxis worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"1B. Traffic Estimates From Part \"1A\" Disaggregated Into Different Weekday Time Periods",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,"Select period via pull-down menu on cell below.","ALL MOTOR VEHICLE TRIPS",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G132","v":"Graveyard"},{"$f":"'Motor Vs'!H132","v":"A.M. Pre-pk"},{"$f":"'Motor Vs'!I132","v":"A.M. Peak"},{"$f":"'Motor Vs'!J132","v":"A.M. Post-pk"},{"$f":"'Motor Vs'!K132","v":"Midday Pk"},{"$f":"'Motor Vs'!L132","v":"P.M. Peak"},{"$f":"'Motor Vs'!M132","v":"P.M. Post-pk"},null,{"$f":"'Motor Vs'!N132","v":"Totals"},{"$f":"ROW()","v":44},{"$f":"G44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk",{"$f":"O44","v":"Totals"},null,{"$f":"Q44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"Z44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"AI44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"AR44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"BA44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals",null,{"$f":"BJ44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Totals"]
[null,null,null,null,null,null,{"$f":"'Motor Vs'!G133","v":"11 pm - 5 am"},{"$f":"'Motor Vs'!H133","v":"5 am - 6 am"},{"$f":"'Motor Vs'!I133","v":"6 am - 9 am"},{"$f":"'Motor Vs'!J133","v":"9 am - 10 am"},{"$f":"'Motor Vs'!K133","v":"10 am - 2 pm"},{"$f":"'Motor Vs'!L133","v":"2 pm - 8 pm "},{"$f":"'Motor Vs'!M133","v":"8 pm - 11 pm"},null,null,{"$f":"ROW()","v":45},"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm"]
[null,"Hours in period",null,"See By Hours worksheet.",null,null,{"$f":"'Motor Vs'!G135","v":6},{"$f":"'Motor Vs'!H135","v":1},{"$f":"'Motor Vs'!I135","v":3},{"$f":"'Motor Vs'!J135","v":1},{"$f":"'Motor Vs'!K135","v":4},{"$f":"'Motor Vs'!L135","v":6},{"$f":"'Motor Vs'!M135","v":3},null,{"$f":"SUM(G46:M46)","v":24},{"$f":"ROW()","v":46},6,1,3,1,4,6,3,{"$f":"O46","v":24},null,6,1,3,1,4,6,3,{"$f":"X46","v":24},null,6,1,3,1,4,6,3,{"$f":"AG46","v":24},null,6,1,3,1,4,6,3,{"$f":"AP46","v":24},null,6,1,3,1,4,6,3,{"$f":"AY46","v":24},null,6,1,3,1,4,6,3,{"$f":"BH46","v":24},null,6,1,3,1,4,6,3,{"$f":"BQ46","v":24}]
[null,"Active period for time-dependent delay calculations",null,null,null,"Graveyard",{"$f":"IF($F$47 = G44, 1, 0)","v":1},0,0,0,0,0,0,null,null,{"$f":"ROW()","v":47},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Figures below are FD's representations of departures of its trucks from Harlem Yards facility (weekdays)"]
[null,null,null,null,"Switch in next cell to right must be set = 0",0,{"$f":"1-G47+(1-$F48)*G47","v":1},1,1,1,1,1,1,null,null,{"$f":"ROW()","v":48},"Inbounds follow shape for inbound work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound non-work trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for inbound through trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,"Inbounds follow shape for all inbound trips; outbounds follow shape for all outbound trips.",null,null,null,null,null,null,null,null,3,101,{"$f":"42+30+4","v":76},0,{"$f":"4+0+29+65","v":98},{"$f":"22+24+6+40+6+0","v":98},4,{"$f":"SUM(BS48:BY48)","v":380}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":49},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"From FD envir assessment, see Row \",P266, \" for source.\")","v":"From FD envir assessment, see Row 266 for source."}]
[null,"1. Auto Cordon Crossings, inbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50},null,null,null,null,null,null,null,null,null,null,{"$f":"H47*$I25","v":0},0,0,0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"BS48/$BZ$48","v":7.8947368421052634E-3},0.26578947368421052,0.2,0,0.25789473684210529,0.25789473684210529,1.0526315789473684E-2,{"$f":"SUM(BS50:BY50)","v":1}]
[null,"Daily cordon auto entries (figures are vehicles, not persons)",null,null,null,null,{"$f":"Q51+Z51+AI51+AR51+BA51+BJ51+BS51","v":103629.88416257684},{"$f":"R51+AA51+AJ51+AS51+BB51+BK51+BT51","v":24144.523910915726},121533.16591214358,35805.877368116053,119650.88963218759,190590.70168108004,66727.623999646719,null,{"$f":"SUM(G51:M51)","v":662082.66666666663},{"$f":"ROW()","v":51},{"$f":"$H$23*('Weekday Hours'!T58+SUM('Weekday Hours'!T35:T39))+G47*H25","v":36583.301902160412},{"$f":"$H$23*'Weekday Hours'!T40+H47*H25","v":13307.396498819224},{"$f":"$H$23*SUM('Weekday Hours'!T41:T43)+I47*H25","v":71518.57223654339},{"$f":"$H$23*'Weekday Hours'!T44+J47*H25","v":17117.951319843243},{"$f":"$H$23*SUM('Weekday Hours'!T45:T48)+K47*H25","v":48386.165796810201},{"$f":"$H$23*SUM('Weekday Hours'!T49:T54)+L47*H25","v":52544.415279393434},{"$f":"$H$23*SUM('Weekday Hours'!T55:T57)+M47*H25","v":14722.879470239532},{"$f":"SUM(Q51:W51)","v":254180.68250380945},null,{"$f":"I23*('Weekday Hours'!U58+SUM('Weekday Hours'!U35:U39))+G47*$I25","v":37503.625201470451},{"$f":"I23*'Weekday Hours'!U40+H47*$I25","v":1807.5101016746883},{"$f":"I23*SUM('Weekday Hours'!U41:U43)+I47*$I25","v":12608.845592025515},{"$f":"I23*'Weekday Hours'!U44+J47*$I25","v":7676.2431331302878},{"$f":"I23*SUM('Weekday Hours'!U45:U48)+K47*$I25","v":30537.431934295273},{"$f":"I23*SUM('Weekday Hours'!U49:U54)+L47*$I25","v":66972.380902113902},{"$f":"I23*SUM('Weekday Hours'!U55:U57)+M47*$I25","v":21669.280631480386},{"$f":"SUM(Z51:AF51)","v":178775.31749619049},null,{"$f":"J23*('Weekday Hours'!V58+SUM('Weekday Hours'!V35:V39))+G47*J25","v":18002.945989096526},{"$f":"J23*'Weekday Hours'!V40+H47*J25","v":3942.3027483761189},{"$f":"J23*SUM('Weekday Hours'!V41:V43)+I47*J25","v":11917.858872778505},{"$f":"J23*'Weekday Hours'!V44+J47*J25","v":3510.8139867176706},{"$f":"J23*SUM('Weekday Hours'!V45:V48)+K47*J25","v":15637.475629387947},{"$f":"J23*SUM('Weekday Hours'!V49:V54)+L47*J25","v":31132.459724356926},{"$f":"J23*SUM('Weekday Hours'!V55:V57)+M47*J25","v":16356.143049286284},{"$f":"SUM(AI51:AO51)","v":100499.99999999999},null,{"$f":"K23*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":2954.3460248875253},{"$f":"K23*'Weekday Hours'!D40","v":1293.8911732137742},{"$f":"K23*SUM('Weekday Hours'!D41:D43)","v":6519.2069133737541},{"$f":"K23*'Weekday Hours'!D44","v":1920.4559357601381},{"$f":"K23*SUM('Weekday Hours'!D45:D48)","v":6415.4102879798047},{"$f":"K23*SUM('Weekday Hours'!D49:D54)","v":10217.889748414524},{"$f":"K23*SUM('Weekday Hours'!D55:D57)","v":3578.799916370479},{"$f":"SUM(AR51:AX51)","v":32900},null,{"$f":"$L$24*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":3654.7684867149633},{"$f":"$L$24*'Weekday Hours'!D40","v":1600.6495668632404},{"$f":"$L$24*SUM('Weekday Hours'!D41:D43)","v":8064.7939627450396},{"$f":"$L$24*'Weekday Hours'!D44","v":2375.761598341569},{"$f":"$L$24*SUM('Weekday Hours'!D45:D48)","v":7936.3890188686346},{"$f":"$L$24*SUM('Weekday Hours'!D49:D54)","v":12640.368169011279},{"$f":"$L$24*SUM('Weekday Hours'!D55:D57)","v":4427.2691974552736},{"$f":"SUM(BA51:BG51)","v":40700},null,{"$f":"$M$24*('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39))","v":4929.8965582469655},{"$f":"$M$24*'Weekday Hours'!D40","v":2159.107155302012},{"$f":"$M$24*SUM('Weekday Hours'!D41:D43)","v":10878.555001344046},{"$f":"$M$24*'Weekday Hours'!D44","v":3204.6513943231485},{"$f":"$M$24*SUM('Weekday Hours'!D45:D48)","v":10705.350298179066},{"$f":"$M$24*SUM('Weekday Hours'!D49:D54)","v":17050.521191123324},{"$f":"$M$24*SUM('Weekday Hours'!D55:D57)","v":5971.9184014814373},{"$f":"SUM(BJ51:BP51)","v":54900},null,{"$f":"BS50*$BZ$51","v":1},33.666666666666664,25.333333333333332,0,32.666666666666664,32.666666666666664,1.3333333333333333,{"$f":"N19","v":126.66666666666666}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":52},"Product of total auto work trips above, times percentages of total daily inbound work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times %'s of total daily inbound non-work trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total thru-trips above, times %'s of daily thru-trips in respective periods in By Hours worksheet."]
[null,"Cordon VMT from cordon entries ",null,null,null,null,{"$f":"Q53+Z53+AI53+AR53+BA53+BJ53+BS53","v":144208.54179693965},{"$f":"R53+AA53+AJ53+AS53+BB53+BK53+BT53","v":35334.263841382584},174632.87124246857,51424.99123511483,173311.76610674677,278178.65170219587,99273.914075151653,null,{"$f":"SUM(G53:M53)","v":956364.99999999988},{"$f":"ROW()","v":53},{"$f":"Q51*$H$27","v":45729.127377700512},16634.245623524032,89398.215295679242,21397.439149804053,60482.707246012753,65680.519099241792,18403.599337799416,{"$f":"SUM(Q53:W53)","v":317725.85312976182},null,{"$f":"Z51*$I$27","v":46879.531501838064},2259.3876270933602,15761.056990031893,9595.3039164128604,38171.789917869093,83715.476127642381,27086.600789350483,{"$f":"SUM(Z53:AF53)","v":223469.14687023815},null,{"$f":"AI51*$J$27","v":28804.713582554443},6307.6843974017902,19068.574196445607,5617.3023787482734,25019.961007020716,49811.935558971083,26169.828878858054,{"$f":"SUM(AI53:AO53)","v":160800},null,{"$f":"AR51*$K$27","v":4431.519037331288},1940.8367598206614,9778.8103700606316,2880.6839036402071,9623.1154319697071,15326.834622621785,5368.1998745557185,{"$f":"SUM(AR53:AX53)","v":49350},null,{"$f":"BA51*$L$27","v":10964.305460144889},4801.9487005897208,24194.381888235119,7127.2847950247069,23809.167056605904,37921.104507033837,13281.807592365822,{"$f":"SUM(BA53:BG53)","v":122099.99999999999},null,{"$f":"BJ51*$M$27","v":7394.8448373704487},3238.6607329530179,16317.83250201607,4806.9770914847231,16058.025447268599,25575.781786684987,8957.8776022221555,{"$f":"SUM(BJ53:BP53)","v":82350.000000000015},null,{"$f":"BS51*$N27","v":4.5},{"$f":"BT51*$N27","v":151.5},114,0,147,147,6,{"$f":"SUM(BS53:BY53)","v":570}]
[null,{"$f":"CONCATENATE(\"Daily cordon entries in Row \",P51,\" times Cordon VMT per entry in Row \",P$27,\".\")","v":"Daily cordon entries in Row 51 times Cordon VMT per entry in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":54},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Figures below are FD's representations of returns of its trucks from Harlem Yards facility (weekdays, same source as above)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"69+14+0+0+0+0","v":83},0,{"$f":"0+1+3","v":4},0,{"$f":"22+1+45+17","v":85},{"$f":"55+27+14+6+6+1","v":109},{"$f":"12+14+72","v":98},{"$f":"SUM(BS55:BY55)","v":379}]
[null,"2. Auto Cordon Crossings, outbound -- Trips and VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"BS55/$BZ$55","v":0.21899736147757257},0,1.0554089709762533E-2,0,0.22427440633245382,0.28759894459102903,0.25857519788918204,{"$f":"SUM(BS56:BY56)","v":1}]
[null,"Daily cordon auto return trips (figures are vehicles, not persons)",null,null,null,null,{"$f":"Q57+Z57+AI57+AR57+BA57+BJ57+BS57","v":76368.648848681551},{"$f":"R57+AA57+AJ57+AS57+BB57+BK57+BT57","v":15652.515147342589},86472.742212151919,28258.472273449068,117378.22555233317,245355.2725712283,92596.790061479958,null,{"$f":"SUM(G57:M57)","v":662082.66666666651},{"$f":"ROW()","v":57},{"$f":"(H23+G48*H25)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":29653.078120407568},{"$f":"(H23+H48*H25)*'Weekday Hours'!L40","v":5801.8440990303297},{"$f":"(H23+I48*H25)*SUM('Weekday Hours'!L41:L43)","v":32306.033753821514},{"$f":"(H23+J48*H25)*'Weekday Hours'!L44","v":10642.319552647548},{"$f":"(H23+K48*H25)*SUM('Weekday Hours'!L45:L48)","v":44824.91754050403},{"$f":"(H23+L48*H25)*SUM('Weekday Hours'!L49:L54)","v":94996.504046114642},{"$f":"(H23+M48*H25)*SUM('Weekday Hours'!L55:L57)","v":35955.985391283808},{"$f":"SUM(Q57:W57)","v":254180.68250380945},null,{"$f":"(I23+G48*I25)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":20856.181529986065},{"$f":"(I23+H48*I25)*'Weekday Hours'!L40","v":4080.6662042541388},{"$f":"(I23+I48*I25)*SUM('Weekday Hours'!L41:L43)","v":22722.110053723412},{"$f":"(I23+J48*I25)*'Weekday Hours'!L44","v":7485.163853441014},{"$f":"(I23+K48*I25)*SUM('Weekday Hours'!L45:L48)","v":31527.135682012598},{"$f":"(I23+L48*I25)*SUM('Weekday Hours'!L49:L54)","v":66814.794911166231},{"$f":"(I23+M48*I25)*SUM('Weekday Hours'!L55:L57)","v":25289.265261607015},{"$f":"SUM(Z57:AF57)","v":178775.31749619049},null,{"$f":"($J23+G48*$J25)*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":11724.472220882863},{"$f":"($J23+H48*$J25)*'Weekday Hours'!L40","v":2293.979724221605},{"$f":"($J23+I48*$J25)*SUM('Weekday Hours'!L41:L43)","v":12773.419129561124},{"$f":"($J23+J48*$J25)*'Weekday Hours'!L44","v":4207.8457910547513},{"$f":"($J23+K48*$J25)*SUM('Weekday Hours'!L45:L48)","v":17723.235961305356},{"$f":"($J23+L48*$J25)*SUM('Weekday Hours'!L49:L54)","v":37560.48084610614},{"$f":"($J23+M48*$J25)*SUM('Weekday Hours'!L55:L57)","v":14216.566326868155},{"$f":"SUM(AI57:AO57)","v":100499.99999999999},null,{"$f":"AR51","v":2954.3460248875253},1293.8911732137742,6519.2069133737541,1920.4559357601381,6415.4102879798047,10217.889748414524,3578.799916370479,{"$f":"SUM(AR57:AX57)","v":32900},null,{"$f":"$L$24*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":4748.1195959197266},{"$f":"$L$24*'Weekday Hours'!L40","v":929.00472413750572},{"$f":"$L$24*SUM('Weekday Hours'!L41:L43)","v":5172.9170007277389},{"$f":"$L$24*'Weekday Hours'!L44","v":1704.0728725963022},{"$f":"$L$24*SUM('Weekday Hours'!L45:L48)","v":7177.4696878122195},{"$f":"$L$24*SUM('Weekday Hours'!L49:L54)","v":15211.060402353432},{"$f":"$L$24*SUM('Weekday Hours'!L55:L57)","v":5757.3557164530739},{"$f":"SUM(BA57:BG57)","v":40699.999999999993},null,{"$f":"$M$24*('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39))","v":6404.7116908106391},{"$f":"$M$24*'Weekday Hours'!L40","v":1253.129222485235},{"$f":"$M$24*SUM('Weekday Hours'!L41:L43)","v":6977.718509581151},{"$f":"$M$24*'Weekday Hours'!L44","v":2298.6142679493119},{"$f":"$M$24*SUM('Weekday Hours'!L45:L48)","v":9681.6483012503886},{"$f":"$M$24*SUM('Weekday Hours'!L49:L54)","v":20518.113417425146},{"$f":"$M$24*SUM('Weekday Hours'!L55:L57)","v":7766.0645904981266},{"$f":"SUM(BJ57:BP57)","v":54900},null,{"$f":"BS56*$BZ$57","v":27.73966578715919},0,1.3368513632365873,0,28.408091468777481,36.429199648197006,32.752858399296386,{"$f":"N19","v":126.66666666666666}]
[null,"Each figure in first column block is sum of respective figures in subsequent column blocks for the six trip types. Sources for those figures are shown further to right.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58},"Product of total auto work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,"Product of total auto non-work trips above, times percentages of total daily outbound trips in respective periods in By Hours worksheet.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Figures in preceding row are made equal to corresponding figues in row \",P51,\", since thru-trips leave cordon shortly after entering.\")","v":"Figures in preceding row are made equal to corresponding figues in row 51, since thru-trips leave cordon shortly after entering."},null,null,null,null,null,null,null,null,"Taxicab outbound trips are assumed to follow same distribution as inbound."]
[null,"Cordon VMT from cordon return trips",null,null,null,null,{"$f":"Q59+Z59+AI59+AR59+BA59+BJ59+BS59","v":109195.62421442043},{"$f":"R59+AA59+AJ59+AS59+BB59+BK59+BT59","v":22145.841013866018},122548.10274196394,40112.560470741337,167197.29856713337,350430.30174895213,132397.77124292261,null,{"$f":"SUM(G59:M59)","v":944027.49999999988},{"$f":"ROW()","v":59},{"$f":"Q57*$H$27","v":37066.347650509459},7252.3051237879117,40382.542192276895,13302.899440809435,56031.146925630033,118745.6300576433,44944.981739104762,{"$f":"SUM(Q59:W59)","v":317725.85312976182},null,{"$f":"Z57*$I$27","v":26070.22691248258},5100.8327553176732,28402.637567154266,9356.454816801268,39408.919602515751,83518.493638957792,31611.581577008768,{"$f":"SUM(Z59:AF59)","v":223469.1468702381},null,{"$f":"AI57*$J$27","v":18759.15555341258},3670.3675587545681,20437.470607297801,6732.5532656876021,28357.17753808857,60096.769353769829,22746.506122989049,{"$f":"SUM(AI59:AO59)","v":160800},null,{"$f":"AR57*$K$27*Taxis!$L$228","v":3323.6392779984662},{"$f":"AS57*$K$27*Taxis!$L$228","v":1455.6275698654961},{"$f":"AT57*$K$27*Taxis!$L$228","v":7334.1077775454742},{"$f":"AU57*$K$27*Taxis!$L$228","v":2160.5129277301553},{"$f":"AV57*$K$27*Taxis!$L$228","v":7217.3365739772798},{"$f":"AW57*$K$27*Taxis!$L$228","v":11495.12596696634},{"$f":"AX57*$K$27*Taxis!$L$228","v":4026.1499059167891},{"$f":"SUM(AR59:AX59)","v":37012.5},null,{"$f":"BA57*$L$27","v":14244.35878775918},2787.0141724125169,15518.751002183217,5112.2186177889071,21532.409063436658,45633.181207060297,17272.067149359224,{"$f":"SUM(BA59:BG59)","v":122100},null,{"$f":"BJ57*$M$27","v":9607.0675362159582},1879.6938337278525,10466.577764371727,3447.921401923968,14522.472451875583,30777.170126137717,11649.096885747189,{"$f":"SUM(BJ59:BP59)","v":82350},null,{"$f":"BS57*$N27","v":124.82849604221636},{"$f":"BT57*$N27","v":0},6.0158311345646425,0,127.83641160949867,163.93139841688654,147.38786279683373,{"$f":"SUM(BS59:BY59)","v":569.99999999999989}]
[null,{"$f":"CONCATENATE(\"Daily cordon return trips in Row \",P57,\" times Cordon VMT per entry [which is same as per return] in Row \",P$27,\".\")","v":"Daily cordon return trips in Row 57 times Cordon VMT per entry [which is same as per return] in Row 27."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxicab outbound cordon VMT is calculated as trips times cordon VMT per trip times one-half, to reflect lesser circulation on final trips."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,"3. Auto Travel in Cordon that Doesn't Cross Cordon -- VMT",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"% of 24-h volume that occurs in respective period",null,null,null,null,{"$f":"AVERAGE('Weekday Hours'!D58+SUM('Weekday Hours'!D35:D39),('Weekday Hours'!L58+SUM('Weekday Hours'!L35:L39)))","v":0.10322958332475049},{"$f":"AVERAGE('Weekday Hours'!D40,'Weekday Hours'!L40)","v":3.1076834041778207E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D41:D43),SUM('Weekday Hours'!L41:L43))","v":0.16262544181170491},{"$f":"AVERAGE('Weekday Hours'!D44,'Weekday Hours'!L44)","v":5.0120816596288344E-2},{"$f":"AVERAGE(SUM('Weekday Hours'!D45:D48),SUM('Weekday Hours'!L45:L48))","v":0.18567393988551417},{"$f":"AVERAGE(SUM('Weekday Hours'!D49:D54),SUM('Weekday Hours'!L49:L54))","v":0.34215514215435761},{"$f":"AVERAGE(SUM('Weekday Hours'!D55:D57),SUM('Weekday Hours'!L55:L57))","v":0.12511824218560624},null,{"$f":"SUM(G63:M63)","v":1},{"$f":"ROW()","v":63},{"$f":"'Motor Vs'!P158","v":0.10322958332475049},{"$f":"'Motor Vs'!Q158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!R158","v":0.16262544181170491},{"$f":"'Motor Vs'!S158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!T158","v":0.18567393988551417},{"$f":"'Motor Vs'!U158","v":0.34215514215435761},{"$f":"'Motor Vs'!V158","v":0.12511824218560624},{"$f":"SUM(Q63:W63)","v":1},null,{"$f":"'Motor Vs'!Y158","v":0.10322958332475049},{"$f":"'Motor Vs'!Z158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!AA158","v":0.16262544181170491},{"$f":"'Motor Vs'!AB158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!AC158","v":0.18567393988551417},{"$f":"'Motor Vs'!AD158","v":0.34215514215435761},{"$f":"'Motor Vs'!AE158","v":0.12511824218560624},{"$f":"SUM(Z63:AF63)","v":1},null,{"$f":"'Motor Vs'!AH158","v":0.10322958332475049},{"$f":"'Motor Vs'!AI158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!AJ158","v":0.16262544181170491},{"$f":"'Motor Vs'!AK158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!AL158","v":0.18567393988551417},{"$f":"'Motor Vs'!AM158","v":0.34215514215435761},{"$f":"'Motor Vs'!AN158","v":0.12511824218560624},{"$f":"SUM(AI63:AO63)","v":1},null,{"$f":"'Motor Vs'!AQ158","v":0.17861463753128054},{"$f":"'Motor Vs'!AR158","v":1.9116782531877763E-2},{"$f":"'Motor Vs'!AS158","v":0.12799966275594579},{"$f":"'Motor Vs'!AT158","v":4.7871019756144786E-2},{"$f":"'Motor Vs'!AU158","v":0.17533154624066652},{"$f":"'Motor Vs'!AV158","v":0.29602835790347287},{"$f":"'Motor Vs'!AW158","v":0.1550379932806118},{"$f":"SUM(AR63:AX63)","v":1.0000000000000002},null,{"$f":"'Motor Vs'!AZ158","v":0.10322958332475049},{"$f":"'Motor Vs'!BA158","v":3.1076834041778207E-2},{"$f":"'Motor Vs'!BB158","v":0.16262544181170491},{"$f":"'Motor Vs'!BC158","v":5.0120816596288344E-2},{"$f":"'Motor Vs'!BD158","v":0.18567393988551417},{"$f":"'Motor Vs'!BE158","v":0.34215514215435761},{"$f":"'Motor Vs'!BF158","v":0.12511824218560624},{"$f":"SUM(BA63:BG63)","v":1},null,{"$f":"'Motor Vs'!BI158","v":0.17861463753128054},{"$f":"'Motor Vs'!BJ158","v":1.9116782531877763E-2},{"$f":"'Motor Vs'!BK158","v":0.12799966275594579},{"$f":"'Motor Vs'!BL158","v":4.7871019756144786E-2},{"$f":"'Motor Vs'!BM158","v":0.17533154624066652},{"$f":"'Motor Vs'!BN158","v":0.29602835790347287},{"$f":"'Motor Vs'!BO158","v":0.1550379932806118},{"$f":"SUM(BJ63:BP63)","v":1.0000000000000002},null,0,0,0,0,0,0,0,{"$f":"SUM(BS63:BY63)","v":0}]
[null,"Calculated as mean of inbound and outbound percentages for respective periods, in By Hours worksheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64},{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Same as for this column block in 'Motor Vs' tab, Row \",'Motor Vs'!O158, \".\")","v":"Same as for this column block in 'Motor Vs' tab, Row 158."}]
[null,"Cordon VMT from motor vehicle trips that didn't cross cordon",null,null,null,null,{"$f":"Q65+Z65+AI65+AR65+BA65+BJ65","v":146632.09878803906},19768.867781937191,123117.25680523188,43867.931339293478,161097.66035859601,277828.31967527582,134503.13313921436,null,{"$f":"SUM(G65:M65)","v":906815.26788758778},{"$f":"ROW()","v":65},{"$f":"Q63*$H$39","v":9371.0592657389097},2821.1181738560012,14762.944925779537,4549.9083464617252,16855.260272596886,31060.438412493771,11358.085783005114,{"$f":"SUM(Q65:W65)","v":90778.815179931931},null,{"$f":"Z63*$I$39","v":6591.0362621006143},1984.203883069757,10383.362497444927,3200.1303214892077,11854.970554929065,21846.033632714098,7988.590525463218,{"$f":"SUM(Z65:AF65)","v":63848.32767721088},null,{"$f":"AI63*$J$39","v":0},0,0,0,0,0,0,{"$f":"SUM(AI65:AO65)","v":0},null,{"$f":"AR63*$K$39","v":110919.35500991775},11871.486108910853,79487.550575971618,29727.813511861299,108880.56147414267,183833.05521389816,96278.303135742652,{"$f":"SUM(AR65:AX65)","v":620998.12503044505},null,{"$f":"BA63*$L$39","v":5041.7328495808142},1517.7925746004476,7942.6265780836675,2447.9006825627225,9068.3152240085128,16710.857142818826,6110.7749483450089,{"$f":"SUM(BA65:BG65)","v":48840.000000000007},null,{"$f":"BJ63*$M$39","v":14708.915400700953},1574.2670415001337,10540.772227952137,3942.1784769185233,14438.552832918887,24377.935273350991,12767.378746658382,{"$f":"SUM(BJ65:BP65)","v":82350},null,0,0,0,0,0,0,0,{"$f":"SUM(BS65:BY65)","v":0}]
[null,"Each entry is sum of respective entries for the six trip types.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66},{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P63,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P39, \".\")","v":"Each entry is product of %'s in row 63 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 39."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P63,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P39, \".\")","v":"Each entry is product of %'s in row 63 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 39."},null,null,null,null,null,null,null,null,"Intra-cordon VMT is zero for thru-trips, by definition.",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P63,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P39, \".\")","v":"Each entry is product of %'s in row 63 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 39."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P63,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P39, \".\")","v":"Each entry is product of %'s in row 63 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 39."},null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Each entry is product of %'s in row \",$P63,\" times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row \",$P39, \".\")","v":"Each entry is product of %'s in row 63 times est'd VMT of m.v. trips within cordon (trips that don't cross cordon) shown in row 39."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":67}]
[null,"4. Total VMT in Cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,"VMT in period",null,null,null,null,{"$f":"G53+G59+G65","v":400036.26479939913},77248.972637185798,420298.23078966443,135405.48304514965,501606.72503247613,906437.27312642382,366174.81845728861,null,{"$f":"SUM(G69:M69)","v":2807207.7678875877},{"$f":"ROW()","v":69},{"$f":"Q53+Q59+Q65","v":92166.534293948876},26707.668921167944,144543.70241373568,39250.246937075208,133369.11444423968,215486.58756937887,74706.666859909295,{"$f":"SUM(Q69:W69)","v":726230.52143945557},null,{"$f":"Z53+Z59+Z65","v":79540.794676421268},9344.4242654807895,54547.057054631085,22151.889054703333,89435.68007531391,189080.00339931427,66686.772891822475,{"$f":"SUM(Z69:AF69)","v":510786.62141768716},null,{"$f":"AI53+AI59+AI65","v":47563.869135967019},9978.0519561563578,39506.044803743411,12349.855644435876,53377.138545109286,109908.70491274091,48916.335001847103,{"$f":"SUM(AI69:AO69)","v":321600},null,{"$f":"AR53+AR59+AR65","v":118674.51332524751},15267.95043859701,96600.468723577724,34769.010343231661,125721.01348008966,210655.01580348628,105672.65291621516,{"$f":"SUM(AR69:AX69)","v":707360.62503044493},null,{"$f":"BA53+BA59+BA65","v":30250.397097484882},9106.7554476026853,47655.759468502001,14687.404095376336,54409.891344051073,100265.14285691296,36664.649690070051,{"$f":"SUM(BA69:BG69)","v":293040},null,{"$f":"BJ53+BJ59+BJ65","v":31710.827774287358},6692.6216081810044,37325.182494339933,12197.076970327214,45019.050732063071,80730.887186173699,33374.353234627728,{"$f":"SUM(BJ69:BP69)","v":247050},null,{"$f":"BS53+BS59+BS65","v":129.32849604221636},151.5,120.01583113456465,0,274.83641160949867,310.93139841688651,153.38786279683373,{"$f":"SUM(BS69:BY69)","v":1140}]
[null,{"$f":"CONCATENATE(\"Each entry is sum of respective VMT's in Rows \",P53, \", \",P59, \" and \",103, \".\")","v":"Each entry is sum of respective VMT's in Rows 53, 59 and 103."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G69/G46","v":66672.710799899854},77248.972637185798,140099.41026322148,135405.48304514965,125401.68125811903,151072.87885440397,122058.27281909621,null,null,{"$f":"ROW()","v":71},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Taxi % of all cordon VMT:",{"$f":"AY69/$O69","v":0.25198014665039592}]
[null,{"$f":"CONCATENATE(\"Period VMT in Row \",P69, \" divided by hours in period in Row \",P46, \".\")","v":"Period VMT in Row 69 divided by hours in period in Row 46."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":73}]
[null,"5. Total VMT Outside Cordon (for cordon-bound trips)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,"A. Non-cordon VMT for trips that ultimately enter the cordon",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Non-cordon VMT in period, inbound leg of trips",null,null,null,null,{"$f":"Q76+Z76+AI76+AR76+BA76+BJ76+BS76","v":1808222.2631446724},{"$f":"R76+AA76+AJ76+AS76+BB76+BK76+BT76","v":400213.08079254505},1949356.7620595049,574415.20898239722,1952059.1590620654,3162155.7498956602,1153176.1794201916,null,{"$f":"SUM(G76:M76)","v":10999598.403357036},{"$f":"ROW()","v":76},{"$f":"Q51*$H$28","v":616681.40485490847},224321.57681667607,1205582.0909223144,288555.75410855591,815641.21190923208,885736.44660168036,248182.24498977303,{"$f":"SUM(Q76:W76)","v":4284700.7302031405},null,{"$f":"Z51*$I$28","v":632195.21130838501},30469.033980892782,212546.16748603893,129397.73484653875,514766.7227049903,1128947.3555899735,365277.09985706437,{"$f":"SUM(Z76:AF76)","v":3013599.3257738841},null,{"$f":"AI51*$J$28","v":455211.04357015912},99682.560245677887,301347.40046907414,88772.209817348063,395399.26434083865,787195.57835776603,413571.03169435571,{"$f":"SUM(AI76:AO76)","v":2541179.0884952196},null,{"$f":"AR51*$K$28","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AR76:AX76)","v":197400},null,{"$f":"BA51*$L$28","v":56825.147912413209},24887.253111536844,125393.19836043712,36938.866229454776,123396.72992338426,196535.23704234714,68836.159638553785,{"$f":"SUM(BA76:BG76)","v":632812.5922181271},null,{"$f":"BJ51*$M$28","v":29579.379349481795},12954.642931812072,65271.33000806428,19227.908365938893,64232.101789074397,102303.12714673995,35831.510408888622,{"$f":"SUM(BJ76:BP76)","v":329400.00000000006},null,{"$f":"BS51*$N28","v":4},{"$f":"BT51*$N28","v":134.66666666666666},101.33333333333333,0,130.66666666666666,130.66666666666666,5.333333333333333,{"$f":"SUM(BS76:BY76)","v":506.66666666666657}]
[null,"Non-cordon VMT in period, outbound leg of trips",null,null,null,null,{"$f":"Q77+Z77+AI77+AR77+BA77+BJ77+BS77","v":1277977.6786469636},254319.18615629527,1412001.5427271191,463779.98049519229,1943490.9839509253,4098435.4988861117,1549593.53249443,null,{"$f":"SUM(G77:M77)","v":10999598.403357036},{"$f":"ROW()","v":77},{"$f":"Q57*$H$28","v":499859.25060759444},97801.16019346776,544579.88329971454,179396.61625387566,755609.57278574747,1601347.4597820106,606106.78728072997,{"$f":"SUM(Q77:W77)","v":4284700.7302031405},null,{"$f":"Z57*$I$28","v":351570.76198912656},68787.420400529241,383024.55001664301,126176.72874510517,531450.06908976391,1126290.9428215753,426298.85271113995,{"$f":"SUM(Z77:AF77)","v":3013599.3257738836},null,{"$f":"AI57*$J$28","v":296457.54857065319},58004.112483820645,322980.55304105021,106396.91275463643,448138.47368493187,949730.43263632024,359471.05532380752,{"$f":"SUM(AI77:AO77)","v":2541179.0884952201},null,{"$f":"AR57*$K$28","v":17726.076149325152},7763.3470392826457,39115.241480242526,11522.735614560828,38492.461727878828,61307.338490487142,21472.799498222874,{"$f":"SUM(AR77:AX77)","v":197400},null,{"$f":"BA57*$L$28","v":73824.812522251814},14444.370704283565,80429.65642652924,26495.301519318338,111596.88448922562,236504.92785257453,89516.638703944045,{"$f":"SUM(BA77:BG77)","v":632812.5922181271},null,{"$f":"BJ57*$M$28","v":38428.270144863833},7518.77533491141,41866.311057486906,13791.685607695872,58089.889807502332,123108.68050455087,46596.387542988756,{"$f":"SUM(BJ77:BP77)","v":329400},null,{"$f":"BS57*$N28","v":110.95866314863676},{"$f":"BT57*$N28","v":0},5.3474054529463491,0,113.63236587510993,145.71679859278802,131.01143359718554,{"$f":"SUM(BS77:BY77)","v":506.66666666666657}]
[null,"VMT in period (sum of figures in two previous rows)",null,null,null,null,{"$f":"Q78+Z78+AI78+AR78+BA78+BJ78+BS78","v":3086199.9417916369},654532.26694884023,3361358.3047866239,1038195.1894775894,3895550.1430129902,7260591.2487817714,2702769.7119146218,null,{"$f":"SUM(G78:M78)","v":21999196.806714073},{"$f":"ROW()","v":78},{"$f":"Q76+Q77","v":1116540.655462503},322122.73701014381,1750161.9742220291,467952.37036243157,1571250.7846949794,2487083.9063836909,854289.032270503,{"$f":"SUM(Q78:W78)","v":8569401.4604062811},null,{"$f":"Z76+Z77","v":983765.97329751158},99256.454381422023,595570.717502682,255574.4635916439,1046216.7917947542,2255238.2984115491,791575.95256820437,{"$f":"SUM(Z78:AF78)","v":6027198.6515477663},null,{"$f":"AI76+AI77","v":751668.59214081231},157686.67272949853,624327.95351012435,195169.12257198448,843537.73802577052,1736926.0109940863,773042.08701816318,{"$f":"SUM(AI78:AO78)","v":5082358.1769904392},null,{"$f":"AR76+AR77","v":35452.152298650304},15526.694078565291,78230.482960485053,23045.471229121657,76984.923455757656,122614.67698097428,42945.598996445748,{"$f":"SUM(AR78:AX78)","v":394800},null,{"$f":"BA76+BA77","v":130649.96043466503},39331.623815820407,205822.85478696635,63434.167748773114,234993.6144126099,433040.16489492171,158352.79834249784,{"$f":"SUM(BA78:BG78)","v":1265625.1844362542},null,{"$f":"BJ76+BJ77","v":68007.64949434562},20473.418266723482,107137.64106555119,33019.593973634765,122321.99159657673,225411.80765129082,82427.897951877385,{"$f":"SUM(BJ78:BP78)","v":658800},null,{"$f":"BS76+BS77","v":114.95866314863676},{"$f":"BT76+BT77","v":134.66666666666666},106.68073878627968,0,244.29903254177657,276.38346525945468,136.34476693051889,{"$f":"SUM(BS78:BY78)","v":1013.3333333333331}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":79}]
[null,"B. Non-cordon VMT for trips that do not enter the cordon",null,null,null,null,{"$f":"'Motor Vs'!G183","v":3978248.8036853974},{"$f":"'Motor Vs'!H183","v":1181560.5285596321},{"$f":"'Motor Vs'!I183","v":6038792.1803381331},{"$f":"'Motor Vs'!J183","v":1857592.6168550521},{"$f":"'Motor Vs'!K183","v":6904571.1728123892},{"$f":"'Motor Vs'!L183","v":12725838.395482821},{"$f":"'Motor Vs'!M183","v":4735421.559034802},null,{"$f":"SUM(G80:M80)","v":37422025.256768227},{"$f":"ROW()","v":80},{"$f":"'Motor Vs'!P183","v":1121835.4914185663},{"$f":"'Motor Vs'!Q183","v":601401.82264235453},{"$f":"'Motor Vs'!R183","v":3264685.4478706834},{"$f":"'Motor Vs'!S183","v":865583.15906019812},{"$f":"'Motor Vs'!T183","v":2873194.2339169979},{"$f":"'Motor Vs'!U183","v":4460113.3081477843},{"$f":"'Motor Vs'!V183","v":1519864.9699228299},{"$f":"SUM(Q80:W80)","v":14706678.432979412},null,{"$f":"'Motor Vs'!Y183","v":1171011.1019567107},{"$f":"'Motor Vs'!Z183","v":176908.36669227283},{"$f":"'Motor Vs'!AA183","v":1067957.9672450901},{"$f":"'Motor Vs'!AB183","v":466576.09336143418},{"$f":"'Motor Vs'!AC183","v":1906729.4338837811},{"$f":"'Motor Vs'!AD183","v":4114361.2223279374},{"$f":"'Motor Vs'!AE183","v":1437394.5266011534},{"$f":"SUM(Z80:AF80)","v":10340938.712068379},null,{"$f":"'Motor Vs'!AH183","v":1452785.4904415046},{"$f":"'Motor Vs'!AI183","v":304768.50113553554},{"$f":"'Motor Vs'!AJ183","v":1206668.2067336307},{"$f":"'Motor Vs'!AK183","v":377212.60728379939},{"$f":"'Motor Vs'!AL183","v":1630345.3400300033},{"$f":"'Motor Vs'!AM183","v":3357039.1700893864},{"$f":"'Motor Vs'!AN183","v":1494095.0563359703},{"$f":"SUM(AI80:AO80)","v":9822914.3720498309},null,{"$f":"'Motor Vs'!AQ183","v":3545.2152298650308},{"$f":"'Motor Vs'!AR183","v":1552.6694078565292},{"$f":"'Motor Vs'!AS183","v":7823.048296048506},{"$f":"'Motor Vs'!AT183","v":2304.5471229121658},{"$f":"'Motor Vs'!AU183","v":7698.4923455757662},{"$f":"'Motor Vs'!AV183","v":12261.467698097429},{"$f":"'Motor Vs'!AW183","v":4294.5598996445751},{"$f":"SUM(AR80:AX80)","v":39480},null,{"$f":"'Motor Vs'!AZ183","v":219657.30973067196},{"$f":"'Motor Vs'!BA183","v":96201.54572219438},{"$f":"'Motor Vs'!BB183","v":484706.74731603038},{"$f":"'Motor Vs'!BC183","v":142786.99270557924},{"$f":"'Motor Vs'!BD183","v":476989.4090959669},{"$f":"'Motor Vs'!BE183","v":759705.92285201047},{"$f":"'Motor Vs'!BF183","v":266085.81224815093},{"$f":"SUM(BA80:BG80)","v":2446133.7396706045},null,{"$f":"'Motor Vs'!BI183","v":9414.1949080787963},{"$f":"'Motor Vs'!BJ183","v":727.62295941841194},{"$f":"'Motor Vs'!BK183","v":6950.7628766498401},{"$f":"'Motor Vs'!BL183","v":3129.2173211287736},{"$f":"'Motor Vs'!BM183","v":9614.2635400635463},{"$f":"'Motor Vs'!BN183","v":22357.304367607809},{"$f":"'Motor Vs'!BO183","v":13686.634027052816},{"$f":"SUM(BJ80:BP80)","v":65880}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":81}]
[null,"C. Total (Sum of \"A\" + \"B\")",null,null,null,null,{"$f":"G78+G80","v":7064448.7454770338},1836092.7955084722,9400150.4851247575,2895787.8063326413,10800121.31582538,19986429.644264594,{"$f":"M78+M80","v":7438191.2709494233},null,{"$f":"SUM(G82:M82)","v":59421222.063482299},{"$f":"ROW()","v":82}]
[null,"Hourly VMT (period VMT divided by hrs)",null,null,null,null,{"$f":"G82/G46","v":1177408.1242461724},1836092.7955084722,3133383.495041586,2895787.8063326413,2700030.3289563451,3331071.6073774323,2479397.0903164744,null,null,{"$f":"ROW()","v":83}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"6. Speeds",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":85}]
[null,"A. Cordon Speeds",null,null,null,null,{"$f":"KSC/(1+0.1*(G71/V_sub_k)^KSE)","v":20.747007297892207},19.840630569241309,10.103518937355306,10.851259816630398,12.529811754364159,8.4876112681503066,13.107920844504294,null,null,{"$f":"ROW()","v":86}]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",P89, \" & \",P90,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 89 & 90)"},null,null,null,null,{"$f":"1/G86","v":4.8199722766839488E-2},5.0401623905557115E-2,9.8975417000778124E-2,9.2155198280979539E-2,7.9809658724657048E-2,0.11781877944298556,7.6289749675995791E-2,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Are calculated using speed-vol. relationship in Speed-Volume Cordon wksheet, operating on Vk value derived there and shown in Motor Vs wksheet in Row \",'Motor Vs'!O198, \", and on hourly VMT figs in Row \",P71, \".\")","v":"Are calculated using speed-vol. relationship in Speed-Volume Cordon wksheet, operating on Vk value derived there and shown in Motor Vs wksheet in Row 198, and on hourly VMT figs in Row 71."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 6am - 6pm",null,null,{"$f":"(I69+J69+K69+L69*(4/6))/(I69*I87+J69*J87+K69*K87+L69*(4/6)*L87)","v":10.051584684022695},null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 24 hour",null,null,{"$f":"$O$69/SUMPRODUCT(G87:M87,G69:M69)","v":11.138988337633643},null,null,null,null,{"$f":"ROW()","v":90}]
[null,"B. Non-cordon speeds ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"Baseline non-cordon speeds, i.e., on approaches to (and from) CBD in NJ, Bklyn, Queens, Bronx and Upper Manhattan, are derived differently than cordon speeds. Whereas our cordon equation is derived from observations made on urban streets, our non-cordon equation is based on data for freeways and expressways. See Speed-Volume, non-Cordon, for details.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":93}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Non-Cordon Speeds, uncapped",null,null,null,null,{"$f":"Alpha*EXP(Beta*G83/SVConstant)","v":60.766892848177172},39.602621739046896,17.041422491721832,19.887390966342785,22.58598735048059,14.986477532816497,26.068896112466359,null,null,{"$f":"ROW()","v":95}]
[null,"Non-Cordon Speeds, capped",null,null,null,null,{"$f":"MIN(G95,'Speed-Vol., non-Cordon'!$Y$6)","v":55},{"$f":"MIN(H95,'Speed-Vol., non-Cordon'!$Y$6)","v":39.602621739046896},{"$f":"MIN(I95,'Speed-Vol., non-Cordon'!$Y$6)","v":17.041422491721832},{"$f":"MIN(J95,'Speed-Vol., non-Cordon'!$Y$6)","v":19.887390966342785},{"$f":"MIN(K95,'Speed-Vol., non-Cordon'!$Y$6)","v":22.58598735048059},{"$f":"MIN(L95,'Speed-Vol., non-Cordon'!$Y$6)","v":14.986477532816497},{"$f":"MIN(M95,'Speed-Vol., non-Cordon'!$Y$6)","v":26.068896112466359},null,null,{"$f":"ROW()","v":96}]
[null,{"$f":"CONCATENATE(\"Reciprocal of Cordon Speeds (needed to calc avgs in Rows \",P98, \" & \",P99,\")\")","v":"Reciprocal of Cordon Speeds (needed to calc avgs in Rows 98 & 99)"},null,null,null,null,{"$f":"1/G96","v":1.8181818181818181E-2},2.5250853506348359E-2,5.8680547383046656E-2,5.0283116658811085E-2,4.4275239531590446E-2,6.6726820749589716E-2,3.8359890487337969E-2,null,null,{"$f":"ROW()","v":97}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 6am - 6pm",null,null,{"$f":"(I$71*I46+J$71*J46+K$71*K46+L$71*4)/(I71*I46*I97+J71*J46*J97+K71*K46*K97+L71*4*L97)","v":17.676024298190153},null,null,null,null,{"$f":"ROW()","v":98}]
[null,null,null,null,null,null,null,"Traffic-weighted avg speeds, 24 hour",null,null,{"$f":"O69/SUMPRODUCT(G97:M97,G69:M69)","v":20.425743443002428},null,null,null,null,{"$f":"ROW()","v":99}]
[null,"1C. Final Calculations",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":100}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"1. Vehicle Hours in Traffic Within Cordon",null,null,null,null,{"$f":"'Motor Vs'!G164/G86","v":21016.742450512007},{"$f":"'Motor Vs'!H164/H86","v":4281.1255301585634},{"$f":"'Motor Vs'!I164/I86","v":47731.794531568543},{"$f":"'Motor Vs'!J164/J86","v":14822.620449754142},{"$f":"'Motor Vs'!K164/K86","v":46575.383569789337},{"$f":"'Motor Vs'!L164/L86","v":122178.78760591871},{"$f":"'Motor Vs'!M164/M86","v":34489.065509147396},null,{"$f":"SUM(G102:M102)","v":291095.51964684873},{"$f":"ROW()","v":102}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",'Motor Vs'!O164, \" VMT figures in Motor Vs worksheet by Row \",P86, \" speeds. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles.\")","v":"Calculated as quotient of Row 164 VMT figures in Motor Vs worksheet by Row 86 speeds. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Baseline vehicle hours in traffic within cordon",null,null,null,null,{"$f":"'Motor Vs'!G207","v":21509.324559195331},{"$f":"'Motor Vs'!H207","v":4475.1694748015479},{"$f":"'Motor Vs'!I207","v":66660.771002912661},{"$f":"'Motor Vs'!J207","v":22266.690840313149},{"$f":"'Motor Vs'!K207","v":63258.259057392752},{"$f":"'Motor Vs'!L207","v":175688.80721873918},{"$f":"'Motor Vs'!M207","v":52935.96850372351},null,{"$f":"SUM(G105:M105)","v":406794.9906570781},{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Taken from corresponding entry in Motor Vs, Row \",'Motor Vs'!O207)","v":"Taken from corresponding entry in Motor Vs, Row 207"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,{"$f":"CONCATENATE(\"Preliminary difference in number of hours in traffic within cordon, as result of FreshDirect trucks (difference between rows \",P102, \" and \",P105,\")\")","v":"Preliminary difference in number of hours in traffic within cordon, as result of FreshDirect trucks (difference between rows 102 and 105)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O102-O105","v":-115699.47101022938},{"$f":"ROW()","v":107}]
[null,{"$f":"CONCATENATE(\"Adj. difference in hours in traffic w/i cordon, as result of FreshDirect trucks (multiplies truck delay factor from 'Delay Costs' worksheet, Row \",#REF!, \", times Row \",P107, \" figure)\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O107*#REF!","v":{"$error":"#REF!"}},{"$f":"ROW()","v":108}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":109},"Delays caused by FD trucks driving while performing non-CBD deliveries"]
[null,"2. Outside Cordon ",null,null,null,null,{"$f":"'Motor Vs'!G184/G96","v":111990.4815360224},{"$f":"'Motor Vs'!H184/H96","v":45818.201914629957},{"$f":"'Motor Vs'!I184/I96","v":545925.46686393255},{"$f":"'Motor Vs'!J184/J96","v":144324.30656014258},{"$f":"'Motor Vs'!K184/K96","v":471139.63396195183},{"$f":"'Motor Vs'!L184/L96","v":1310410.6827758134},{"$f":"'Motor Vs'!M184/M96","v":282176.45280787471},null,{"$f":"SUM(G110:M110)","v":2911785.2264203676},{"$f":"ROW()","v":110},"Factor denoting number of delivery trucks for non-CBD, relative to CBD",null,null,null,null,null,{"$f":"(1-I250)/I250","v":2.0000000000000004}]
[null,{"$f":"CONCATENATE(\"Calculated as quotient of Row \",'Motor Vs'!O184, \" VMT figures in Motor Vs worksheet by Row \",P96, \" speeds in this worksheet. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles.\")","v":"Calculated as quotient of Row 184 VMT figures in Motor Vs worksheet by Row 96 speeds in this worksheet. Numerator uses Motor Vs VMT figures to ensure that delays are calculated on 'baseline' vehicle volumes only and do not [spuriously] reflect delays experienced by the hypothesized additional vehicles."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":111},{"$f":"CONCATENATE(\"Ratio of complement of percentage in Cell I\",P250, \" to Cell I\",P250, \" itself.\")","v":"Ratio of complement of percentage in Cell I250 to Cell I250 itself."}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":112},"Factor reflecting non-CBD miles for non-CBD deliveries, relative to same for CBD deliveries",null,null,null,null,null,{"$f":"J261/I261","v":1.25}]
[null,"Baseline vehicle hours in traffic outside cordon",null,null,null,null,{"$f":"'Motor Vs'!G1060","v":111990.4815360224},{"$f":"'Motor Vs'!H1060","v":45180.228043883733},{"$f":"'Motor Vs'!I1060","v":534594.24334133998},{"$f":"'Motor Vs'!J1060","v":141946.84824274344},{"$f":"'Motor Vs'!K1060","v":459124.77156853332},{"$f":"'Motor Vs'!L1060","v":1261928.7659085172},{"$f":"'Motor Vs'!M1060","v":277197.56746023538},null,{"$f":"SUM(G113:M113)","v":2831962.9061012752},{"$f":"ROW()","v":113},{"$f":"CONCATENATE(\"Ratio of wghtd avg of non-CBD miles for non-CBD deliveries in Cell L \",P261, \" to non-CBD miles for CBD delivs in Cell I\",P261, \".\")","v":"Ratio of wghtd avg of non-CBD miles for non-CBD deliveries in Cell L 261 to non-CBD miles for CBD delivs in Cell I261."}]
[null,{"$f":"CONCATENATE(\"Taken from corresponding entry in Motor Vs, Row \",'Motor Vs'!O1060)","v":"Taken from corresponding entry in Motor Vs, Row 1060"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":114},"Combined factor, non-CBD to CBD deliveries (non-CBD miles only)",null,null,null,null,null,{"$f":"W110*W112","v":2.5000000000000004}]
[null,{"$f":"CONCATENATE(\"Preliminary difference in number of hours in traffic outside cordon, as result of FreshDirect trucks (difference between rows \",P110, \" and \",P113,\")\")","v":"Preliminary difference in number of hours in traffic outside cordon, as result of FreshDirect trucks (difference between rows 110 and 113)"},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O110-O113","v":79822.320319092367},{"$f":"ROW()","v":115},{"$f":"CONCATENATE(\"Product of Cells in Rows \",P103, \" and \",P105, \".\")","v":"Product of Cells in Rows 103 and 105."}]
[null,{"$f":"CONCATENATE(\"Adj. difference in hours in traffic outside cordon, as result of FreshDirect trucks (multiplies truck delay factor from 'Delay Costs' worksheet, Row \",#REF!, \", times Row \",P115, \" figure)\")","v":{"$error":"#REF!"}},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"O115*#REF!","v":{"$error":"#REF!"}},{"$f":"ROW()","v":116},{"$f":"O116*W114","v":{"$error":"#REF!"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117},{"$f":"CONCATENATE(\"Product of delay hours shown in Cell O\",P105, \" and ratio shown in Cell W\",P107, \".\")","v":"Product of delay hours shown in Cell O105 and ratio shown in Cell W107."}]
[null,"3. Within and Outside Cordon, combined",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":118}]
[null,"Delay time attributable to driving FreshDirect trucks into, within and back from CBD destinations (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"(O108+O116)","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":119}]
[null,"Delay time attributable to driving FreshDirect trucks into, within and back from non-CBD destinations (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"Q116","v":{"$error":"#REF!"}},null,null,{"$f":"ROW()","v":120}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":121}]
[null,"Part Two: Delay Estimates due to Parking FreshDirect Trucks within Manhattan CBD (weekdays)",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":122}]
[null,{"$f":"CONCATENATE(\"Delays caused by FD trucks parking in non-CBD destinations are estimated by extrapolation. See Rows \",P165, \"-\",P174, \", starting in Column Q.\")","v":"Delays caused by FD trucks parking in non-CBD destinations are estimated by extrapolation. See Rows 165-174, starting in Column Q."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":124}]
[null,"Parked Truck Parameters",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":125}]
[null,"Fresh-Direct trucks rarely park at curbside. Rather they are invariably double-parked, which means they take a lane out of service for some distance. We assume that one (double-)parked truck effectively removes from service one lane for one-half of a short block. We thus take the number of acres in a lane-mile (from Cordon worksheet), divide by 20 (to reflect 20 short blocks to a mile) and then halve that.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":126}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":127}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":128}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"Street space appropriated by one truck (acres)",null,null,null,null,null,null,{"$f":"0.5*Cordon!J298/20","v":3.5070785070785072E-2},null,null,null,null,null,null,{"$f":"ROW()","v":130}]
[null,"Acres per lane-mile (from Cordon), halved (1/2 block impact) and div'd by 20 (blocks/mile).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":131}]
[null,"Area used by entire CBD portion of FD fleet if parked 24-7 (acres)",null,null,null,null,null,null,{"$f":"I130*G272","v":4.4422994422994417},null,null,null,null,null,null,{"$f":"ROW()","v":132}]
[null,{"$f":"CONCATENATE(\"Product of acres per truck in Row \",P130, \" and fleet size in Row \",P272, \".\")","v":"Product of acres per truck in Row 130 and fleet size in Row 272."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":133}]
[null,"Street area of entire CBD (acres)",null,null,null,null,null,null,{"$f":"Cordon!G322","v":1260},null,null,null,null,null,null,{"$f":"ROW()","v":134}]
[null,"From Cordon worksheet",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,"Delay Calculations due to parked trucks",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,null,null,null,null,null,{"$f":"G44","v":"Graveyard"},"A.M. Pre-pk","A.M. Peak","A.M. Post-pk","Midday Pk","P.M. Peak","P.M. Post-pk","Total",null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,"11 pm - 5 am","5 am - 6 am","6 am - 9 am","9 am - 10 am","10 am - 2 pm","2 pm - 8 pm ","8 pm - 11 pm",null,null,{"$f":"ROW()","v":139}]
[null,"Hours in period",null,null,null,null,{"$f":"'Motor Vs'!G135","v":6},{"$f":"'Motor Vs'!H135","v":1},{"$f":"'Motor Vs'!I135","v":3},{"$f":"'Motor Vs'!J135","v":1},{"$f":"'Motor Vs'!K135","v":4},{"$f":"'Motor Vs'!L135","v":6},{"$f":"'Motor Vs'!M135","v":3},{"$f":"SUM(G140:M140)","v":24},null,{"$f":"ROW()","v":140}]
[null,"Baseline Speeds in CBD",null,null,null,null,{"$f":"'Motor Vs'!G201","v":20.271882912859152},{"$f":"'Motor Vs'!H201","v":18.980338184441628},{"$f":"'Motor Vs'!I201","v":7.2345261344574521},{"$f":"'Motor Vs'!J201","v":7.2235298373289432},{"$f":"'Motor Vs'!K201","v":9.2253691014053434},{"$f":"'Motor Vs'!L201","v":5.9025163345882756},{"$f":"'Motor Vs'!M201","v":8.5401278841819632},null,null,{"$f":"ROW()","v":141}]
[null,{"$f":"CONCATENATE(\"Baseline values in Motor Vs worksheet, Row \",'Motor Vs'!O201,)","v":"Baseline values in Motor Vs worksheet, Row 201"},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,"Coincidence of period with FD delivery schedule",null,null,null,null,0,0,{"$f":"5/6","v":0.83333333333333337},1,1,1,1,{"$f":"SUM(G143:M143)","v":4.8333333333333339},null,{"$f":"ROW()","v":143}]
[null,"Komanoff assumptions, predicated on 6:30 a.m.-11 p.m. delivery sched.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,"Hours in which FD trucks are in delivery area",null,null,null,null,{"$f":"G143*G140","v":0},0,2.5,1,4,6,3,{"$f":"SUM(G145:M145)","v":16.5},null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P143, \" and \",P140, \".\")","v":"Product of Rows 143 and 140."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,"Miles driven by each FD truck in CBD in period",null,null,null,null,{"$f":"(G145/SUM($G$145:$M$145))*2*$N$27","v":0},0,1.3636363636363638,0.54545454545454541,2.1818181818181817,3.2727272727272729,1.6363636363636365,{"$f":"SUM(G147:M147)","v":9},null,{"$f":"ROW()","v":147}]
[null,{"$f":"CONCATENATE(\"Apportions twice cordon miles in Row \",P27, \" over hours shown in Row \",P145, \".\")","v":"Apportions twice cordon miles in Row 27 over hours shown in Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,"Hours in which FD trucks are driven in period",null,null,null,null,{"$f":"G147/G141","v":0},0,0.18849007361262765,7.5510803961216705E-2,0.23650199334418123,0.55446306070333962,0.19160879773176601,{"$f":"SUM(G149:M149)","v":1.2465747293531311},null,{"$f":"ROW()","v":149}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P147, \" to Row \",P141, \".\")","v":"Ratio of Row 147 to Row 141."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,"Hours in which FD trucks are parked in period",null,null,null,null,{"$f":"G145-G149","v":0},0,2.3115099263873722,0.92448919603878332,3.7634980066558188,5.4455369392966606,2.808391202268234,{"$f":"SUM(G151:M151)","v":15.25342527064687},null,{"$f":"ROW()","v":151}]
[null,{"$f":"CONCATENATE(\"Difference between Rows \",P145, \" and \",P149, \".\")","v":"Difference between Rows 145 and 149."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,"Percentage of time in delivery area in which FD trucks are parked",null,null,null,null,{"$f":"IF(G145=0,0,G151/G145)","v":0},0,0.92460397055494892,0.92448919603878332,0.9408745016639547,0.90758948988277677,0.93613040075607801,0.92445001640284064,null,{"$f":"ROW()","v":153}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P151, \" to Row \",P145, \".\")","v":"Ratio of Row 151 to Row 145."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]
[null,"Periods' share of hours in which FD trucks are parked",null,null,null,null,{"$f":"G151/$N$151","v":0},0,0.15154038423327493,6.060862918559258E-2,0.24673133672462116,0.35700420349361472,0.18411544636289651,{"$f":"SUM(G155:M155)","v":0.99999999999999978},null,{"$f":"ROW()","v":155}]
[null,{"$f":"CONCATENATE(\"From Row \",P151, \", with each cell being ratio of period's hours to total hours.\")","v":"From Row 151, with each cell being ratio of period's hours to total hours."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":156}]
[null,"Number of FD truck-hours parked in CBD",null,null,null,null,{"$f":"G155*G153*$I$262*$I$251","v":0},0,141.98303884099536,56.779116507051903,235.23846646546812,328.33343977390717,174.65414747693691,{"$f":"SUM(G157:M157)","v":936.98820906435958},null,{"$f":"ROW()","v":157}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",P155, \" (period's share), \",P153, \" (% of hours in area that trucks are parked), \",P262, \" (hours each truck spends in CBD), and \",P251, \" total number of trucks deployed in CBD.\")","v":"Product of Rows 155 (period's share), 153 (% of hours in area that trucks are parked), 262 (hours each truck spends in CBD), and 251 total number of trucks deployed in CBD."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":158}]
[null,"Average number of FD trucks parked in CBD in period, at any time",null,null,null,null,{"$f":"G157/G140","v":0},0,47.327679613665119,56.779116507051903,58.80961661636703,54.722239962317865,58.218049158978971,39.041175377681647,null,{"$f":"ROW()","v":159}]
[null,{"$f":"CONCATENATE(\"Ratio of Row \",P157, \" (number of parked truck-hours) to Row \",P140, \" (number of hours in period).\")","v":"Ratio of Row 157 (number of parked truck-hours) to Row 140 (number of hours in period)."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":160}]
[null,"Effective % of CBD street area removed from service, averaged across period, due to parked FD trucks ",null,null,null,null,{"$f":"G159*$I$130/$I$134","v":0},0,1.3173165711347823E-3,1.5803874535935572E-3,1.6369043051173639E-3,1.5231364415161711E-3,1.6204386422975802E-3,1.0866703734773804E-3,null,{"$f":"ROW()","v":161}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":162}]
[null,{"$f":"CONCATENATE(\"Avg number of FD trucks parked in CBD from Row \",P159, \", times number of acres of street space consumed by one FD truck from Row \",P130, \", divided by number of acres of street space in CBD from Row \",P134, \".\")","v":"Avg number of FD trucks parked in CBD from Row 159, times number of acres of street space consumed by one FD truck from Row 130, divided by number of acres of street space in CBD from Row 134."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":163}]
[null,"Effective factor increase in traffic vol. from FD trucks parked ",null,null,null,null,{"$f":"1/(1-G161)","v":1},1,1.0013190541830683,1.0015828890315595,1.0016395881540252,1.0015254599251182,1.0016230687255796,null,null,{"$f":"ROW()","v":164}]
[null,{"$f":"CONCATENATE(\"Complement of percents in Row \",P161, \".\")","v":"Complement of percents in Row 161."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":165},"Delays caused by FD trucks parking while performing non-CBD deliveries"]
[null,"Speeds w/ FD truck space unavailable for other veh's",null,null,null,null,{"$f":"KSC/(1+0.1*(G71*G164/V_sub_k)^KSE)","v":20.747007297892207},19.840630569241309,10.07471773997522,10.816471755940281,12.494451462705571,8.4558483021997048,13.073531203728637,null,null,{"$f":"ROW()","v":166},"Factor denoting number of delivery trucks for non-CBD, relative to CBD",null,null,null,null,null,{"$f":"(1-I250)/I250","v":2.0000000000000004}]
[null,{"$f":"CONCATENATE(\"Calculated by multiplying baseline traffic volumes in Row \",P71, \" by factor incrs in Row \",P164, \" and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet.\")","v":"Calculated by multiplying baseline traffic volumes in Row 71 by factor incrs in Row 164 and inputting product into 'VsubK' algorithm detailed in 'Speed-Vol., Cordon' worksheet."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":167},{"$f":"CONCATENATE(\"Ratio of complement of percentage in Cell I\",P250, \" to Cell I\",P250, \" itself.\")","v":"Ratio of complement of percentage in Cell I250 to Cell I250 itself."}]
[null,"Hours spent in traffic with new speeds",null,null,null,null,{"$f":"'Motor Vs'!G164/G166","v":21016.742450512007},{"$f":"'Motor Vs'!H164/H166","v":4281.1255301585634},{"$f":"'Motor Vs'!I164/I166","v":47868.248263682006},{"$f":"'Motor Vs'!J164/J166","v":14870.293131884469},{"$f":"'Motor Vs'!K164/K166","v":46707.195610682385},{"$f":"'Motor Vs'!L164/L166","v":122637.73158550773},{"$f":"'Motor Vs'!M164/M166","v":34579.788249244535},{"$f":"SUM(G168:M168)","v":291961.12482167163},null,{"$f":"ROW()","v":168},"Factor reflecting relative congestion intensity of non-CBD neighborhoods to CBD",null,null,null,null,null,{"$f":"L263","v":0.49999999999999994}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":169},{"$f":"CONCATENATE(\"Komanoff assumption entered in Cell L\",P263, \".\")","v":"Komanoff assumption entered in Cell L263."}]
[null,{"$f":"CONCATENATE(\"Baseline hours in traffic (from 'Motor Vs' worksheet, Row \",'Motor Vs'!O207, \").\")","v":"Baseline hours in traffic (from 'Motor Vs' worksheet, Row 207)."},null,null,null,null,null,null,null,null,null,null,null,{"$f":"'Motor Vs'!N207","v":406794.9906570781},null,{"$f":"ROW()","v":170},"Combined factor, non-CBD to CBD deliveries",null,null,null,null,null,{"$f":"W166*W168","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":171}]
[null,"Number of hours of delay due to parked trucks",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N168-N170","v":-114833.86583540647},null,{"$f":"ROW()","v":172},{"$f":"CONCATENATE(\"Product of Cells in Rows \",P170, \" and \",P173, \".\")","v":"Product of Cells in Rows 170 and 173."}]
[null,"Multiply by truck delay factor (which is one because truck size is already taken into account in estimating lane-miles removed from service per double-parked truck)",null,null,null,null,null,null,null,null,null,null,null,{"$f":"N172*1","v":-114833.86583540647},null,{"$f":"ROW()","v":173},{"$f":"N173*W170","v":-114833.86583540647}]
[null,"Delay time attributable to parking FreshDirect trucks within CBD (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"N173","v":-114833.86583540647},null,null,{"$f":"ROW()","v":174},{"$f":"CONCATENATE(\"Product of delay hours shown in Cell N\",P173, \" and ratio shown in Cell W\",P170, \".\")","v":"Product of delay hours shown in Cell N173 and ratio shown in Cell W170."}]
[null,"Delay time attributable to parking FreshDirect trucks outside CBD (reflects truck factor)",null,null,null,null,null,null,null,null,null,null,{"$f":"Q173","v":-114833.86583540647},null,null,{"$f":"ROW()","v":175}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":176}]
[null,"Part Three: Weekday Summary ",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":177}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":178}]
[null,"Weekday Summary ",null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":179}]
[null,null,null,null,null,null,"Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD",{"$f":"ROW()","v":180}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":181}]
[null,"Delays hours and cost, per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":182}]
[null,"Caused by FD trucks driving w/i CBD",null,null,null,null,{"$f":"O108","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"H183*G183","v":{"$error":"#REF!"}},{"$f":"S108","v":0},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"K183*J183","v":0},{"$f":"G183+J183","v":{"$error":"#REF!"}},null,{"$f":"I183+L183","v":{"$error":"#REF!"}},{"$f":"ROW()","v":183}]
[null,"Caused by FD trucks driving outside CBD",null,null,null,null,{"$f":"O116","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"H184*G184","v":{"$error":"#REF!"}},{"$f":"Q116","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"K184*J184","v":{"$error":"#REF!"}},{"$f":"G184+J184","v":{"$error":"#REF!"}},null,{"$f":"I184+L184","v":{"$error":"#REF!"}},{"$f":"ROW()","v":184}]
[null,"Caused by FD trucks parked w/i CBD",null,null,null,null,{"$f":"N173","v":-114833.86583540647},{"$f":"'Cost-Benefit'!$I$236","v":51.562375658789044},{"$f":"H185*G185","v":-5921106.9285562094},null,null,null,{"$f":"G185+J185","v":-114833.86583540647},null,{"$f":"I185+L185","v":-5921106.9285562094},{"$f":"ROW()","v":185}]
[null,"Caused by FD trucks parked outside CBD",null,null,null,null,null,null,null,{"$f":"Q173","v":-114833.86583540647},{"$f":"'Cost-Benefit'!$I$250","v":29.388806276713776},{"$f":"K186*J186","v":-3374830.2370429011},{"$f":"G186+J186","v":-114833.86583540647},null,{"$f":"I186+L186","v":-3374830.2370429011},{"$f":"ROW()","v":186}]
[null,{"$f":"CONCATENATE(\"Delay hours are derived in Parts One & Two, above. Costs per delay hour are for weekdays and are from Cost-Benefit worksheet, Row \",'Cost-Benefit'!O236, \" for CBD and Row \",'Cost-Benefit'!O250, \" for non-CBD.\")","v":"Delay hours are derived in Parts One & Two, above. Costs per delay hour are for weekdays and are from Cost-Benefit worksheet, Row 236 for CBD and Row 250 for non-CBD."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":187}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":188}]
[null,"Total daily delay due to FD deliveries, hrs",null,null,null,null,{"$f":"SUM(G183:G185)","v":{"$error":"#REF!"}},null,{"$f":"SUM(I183:I185)","v":{"$error":"#REF!"}},{"$f":"SUM(J183:J186)","v":{"$error":"#REF!"}},null,{"$f":"SUM(L183:L186)","v":{"$error":"#REF!"}},{"$f":"G189+J189","v":{"$error":"#REF!"}},null,{"$f":"I189+L189","v":{"$error":"#REF!"}},{"$f":"ROW()","v":189}]
[null,"Daily delay per FD delivery truck, hrs",null,null,null,null,{"$f":"G189/$G$272","v":{"$error":"#REF!"}},null,{"$f":"I189/$G$272","v":{"$error":"#REF!"}},{"$f":"J189/$G$273","v":{"$error":"#REF!"}},null,{"$f":"L189/$G$273","v":{"$error":"#REF!"}},{"$f":"M189/$E$266","v":{"$error":"#REF!"}},null,{"$f":"O189/$E$266","v":{"$error":"#REF!"}},{"$f":"ROW()","v":190}]
[null,"Delay from one FD delivery, minutes / $",null,null,null,null,{"$f":"60*G190/$E$268","v":{"$error":"#REF!"}},null,{"$f":"I190/$E$268","v":{"$error":"#REF!"}},{"$f":"60*J190/$E$268","v":{"$error":"#REF!"}},null,{"$f":"L190/$E$268","v":{"$error":"#REF!"}},{"$f":"60*M190/$E$268","v":{"$error":"#REF!"}},null,{"$f":"O190/$E$268","v":{"$error":"#REF!"}},{"$f":"ROW()","v":191}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":192}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":193}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":194}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":195}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":196}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":197}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":198}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":199}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":200}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":201}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":202}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":203}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":204}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":205}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":206}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":207}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":208}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":209}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":210}]
[null,"Part Four: Extrapolation to Weekends",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":211}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":212}]
[null,"We prorate weekend impacts from weekday impacts above. This obviates the need for a similarly complex calculation and fits both the approximate nature of the exercise and the smaller impacts on weekends (due to lesser weekend traffic, lesser value of weekend time, and fewer weekend days).",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":213}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":214}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":215}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":216}]
[null,"Ratio of weekend to weekday trips by FD delivery trucks",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Row \",P267, \" to Row \",P266, \".\")","v":"Ratio of Row 267 to Row 266."},{"$f":"E267/E266","v":0.91052631578947374},null,null,null,{"$f":"ROW()","v":217}]
[null,"Ratio of weekend to weekday per-mile CBD delay impacts from additional trip",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cells M\",#REF!, \" in 'Delays, Weekends' to 'Delays' worksheets.\")","v":{"$error":"#REF!"}},{"$f":"#REF!/#REF!","v":{"$error":"#REF!"}},null,null,null,{"$f":"ROW()","v":218}]
[null,"Ratio of weekend to weekday per-mile non-CBD delay impacts from additional trip",null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Ratio of Cells M\",#REF!, \" in 'Delays, Weekends' to 'Delays' worksheets.\")","v":{"$error":"#REF!"}},0.76968142186927246,null,null,null,{"$f":"ROW()","v":219}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":220}]
[null,null,null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":221}]
[null,"Weekend Summary ",null,null,null,null,"Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD","Hours of delays due to FD","Cost per each delay-hour","Cost of delays due to FD",{"$f":"ROW()","v":222}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":223}]
[null,"Delays (hours), per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":224}]
[null,"Caused by FD trucks driving w/i CBD",null,null,null,null,{"$f":"G183*$L$217*$L$218","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$236","v":30.937425395273426},{"$f":"H225*G225","v":{"$error":"#REF!"}},{"$f":"J183*$L$217*$L$219","v":0},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K225*J225","v":0},{"$f":"G225+J225","v":{"$error":"#REF!"}},null,{"$f":"I225+L225","v":{"$error":"#REF!"}},{"$f":"ROW()","v":225}]
[null,"Caused by FD trucks driving outside CBD",null,null,null,null,{"$f":"G184*$L$217*$L$219","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"H226*G226","v":{"$error":"#REF!"}},{"$f":"J184*$L$217*$L$219","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K226*J226","v":{"$error":"#REF!"}},{"$f":"G226+J226","v":{"$error":"#REF!"}},null,{"$f":"I226+L226","v":{"$error":"#REF!"}},{"$f":"ROW()","v":226}]
[null,"Caused by FD trucks parked w/i CBD",null,null,null,null,{"$f":"G185*$L$217*$L$218","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$236","v":30.937425395273426},{"$f":"H227*G227","v":{"$error":"#REF!"}},{"$f":"J185*$L$217*$L$219","v":0},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K227*J227","v":0},{"$f":"G227+J227","v":{"$error":"#REF!"}},null,{"$f":"I227+L227","v":{"$error":"#REF!"}},{"$f":"ROW()","v":227}]
[null,"Caused by FD trucks parked outside CBD",null,null,null,null,{"$f":"G186*$L$217*$L$218","v":{"$error":"#REF!"}},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"H228*G228","v":{"$error":"#REF!"}},{"$f":"J186*$L$217*$L$219","v":-80477.317433393575},{"$f":"'Cost-Benefit'!$J$250","v":17.633283766028264},{"$f":"K228*J228","v":-1419079.3750317623},{"$f":"G228+J228","v":{"$error":"#REF!"}},null,{"$f":"I228+L228","v":{"$error":"#REF!"}},{"$f":"ROW()","v":228}]
[null,{"$f":"CONCATENATE(\"Delay hours are calculated by multiplying results in Rows \",P183,\"-\",P186,\" by weekend/weekday ratio in Row \",P217,\" and respective ratios in Rows \",P218, \" and \",P219,\".\")","v":"Delay hours are calculated by multiplying results in Rows 183-186 by weekend/weekday ratio in Row 217 and respective ratios in Rows 218 and 219."},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":229}]
[null,"Total daily delay due to FD deliveries, hrs",null,null,null,null,{"$f":"SUM(G225:G228)","v":{"$error":"#REF!"}},null,{"$f":"SUM(I225:I228)","v":{"$error":"#REF!"}},{"$f":"SUM(J225:J228)","v":{"$error":"#REF!"}},null,{"$f":"SUM(L225:L228)","v":{"$error":"#REF!"}},{"$f":"G230+J230","v":{"$error":"#REF!"}},null,{"$f":"I230+L230","v":{"$error":"#REF!"}},{"$f":"ROW()","v":230}]
[null,"Daily delay per FD delivery truck, hrs ",null,null,null,null,{"$f":"G230/$G$272","v":{"$error":"#REF!"}},null,{"$f":"I230/$G$272","v":{"$error":"#REF!"}},{"$f":"J230/$G$273","v":{"$error":"#REF!"}},null,{"$f":"L230/$G$273","v":{"$error":"#REF!"}},{"$f":"M230/$E$266","v":{"$error":"#REF!"}},null,{"$f":"O230/$E$266","v":{"$error":"#REF!"}},{"$f":"ROW()","v":231}]
[null,"Delay from one FD delivery in minutes or $",null,null,null,null,{"$f":"60*G231/$E$268","v":{"$error":"#REF!"}},null,{"$f":"I231/$E$268","v":{"$error":"#REF!"}},{"$f":"60*J231/$E$268","v":{"$error":"#REF!"}},null,{"$f":"L231/$E$268","v":{"$error":"#REF!"}},{"$f":"60*M231/$E$268","v":{"$error":"#REF!"}},null,{"$f":"O231/$E$268","v":{"$error":"#REF!"}},{"$f":"ROW()","v":232}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":233}]
[null,"Annual Summary ",null,null,null,null,"Deliveries to Manhattan CBD",null,null,"Deliveries outside Manhattan CBD",null,null,"Combined Deliveries",null,null,{"$f":"ROW()","v":234}]
[null,null,null,null,null,null,"Weekdays","Weekends","Avg or Total","Weekdays","Weekends","Avg or Total","Weekdays","Weekends","Avg or Total",{"$f":"ROW()","v":235}]
[null,"Per delivery",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":236}]
[null,"Total delays from one FD delivery, minutes",null,null,null,null,{"$f":"G191","v":{"$error":"#REF!"}},{"$f":"G232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G237:H237,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"J191","v":{"$error":"#REF!"}},{"$f":"J232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J237:K237,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"M191","v":{"$error":"#REF!"}},{"$f":"M232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(M237:N237,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"ROW()","v":237}]
[null,"Number of applicable days per year",null,null,null,null,{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"G238+H238","v":365},{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"J238+K238","v":365},{"$f":"wkday_per_yr","v":250},{"$f":"wkend_per_yr","v":115},{"$f":"M238+N238","v":365},{"$f":"ROW()","v":238}]
[null,"Delay cost from one FD delivery",null,null,null,null,{"$f":"I191","v":{"$error":"#REF!"}},{"$f":"I232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G239:H239,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"L191","v":{"$error":"#REF!"}},{"$f":"L232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J239:K239,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"O191","v":{"$error":"#REF!"}},{"$f":"O232","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(M239:N239,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"ROW()","v":239}]
[null,"For all deliveries, per day",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":240}]
[null,"Total delays from all FD deliveries, hours",null,null,null,null,{"$f":"G237*$E$269*$I$250/60","v":{"$error":"#REF!"}},{"$f":"H237*$E$269*$I$250/60","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G241:H241,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"J237*$E$269*$I$250/60","v":{"$error":"#REF!"}},{"$f":"K237*$E$269*$I$250/60","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J241:K241,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"G241+J241","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":241}]
[null,"Delay cost from all FD deliveries",null,null,null,null,{"$f":"G239*$E$269*$I$250","v":{"$error":"#REF!"}},{"$f":"H239*$E$269*$I$250","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(G242:H242,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$f":"J239*$E$269*$I$250","v":{"$error":"#REF!"}},{"$f":"K239*$E$269*$I$250","v":{"$error":"#REF!"}},{"$f":"SUMPRODUCT(J242:K242,$G$238:$H$238)/$I$238","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":242}]
[null,"For all deliveries, per year, millions of dollars",null,null,null,null,{"$f":"G242*G238/1000000","v":{"$error":"#REF!"}},{"$f":"H242*H238/1000000","v":{"$error":"#REF!"}},{"$f":"G243+H243","v":{"$error":"#REF!"}},{"$f":"J242*J238/1000000","v":{"$error":"#REF!"}},{"$f":"K242*K238/1000000","v":{"$error":"#REF!"}},{"$f":"J243+K243","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},{"$f":"ROW()","v":243}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":244}]
[null,"Part Five: Our Assumptions re FreshDirect Operations from South Bronx depot",null,null,null,null,null,null,"This section uses a different structure than the prior worksheet, FreshDirect, which applies to Long Island City",null,null,null,null,null,null,{"$f":"ROW()","v":245}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":246}]
[null,null,null,null,null,null,null,null,"Delivery Destinations",null,null,null,null,null,null,{"$f":"ROW()","v":247}]
[null,null,null,null,null,null,null,null,"Manhattan CBD","Upper West & East Sides","Other","Non-CBD avg",null,null,null,{"$f":"ROW()","v":248}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":249}]
[null,"Delivery shares, by destination",null,null,null,null,null,"(Komanoff assumptions)",{"$f":"1/3","v":0.33333333333333331},{"$f":"1/3","v":0.33333333333333331},{"$f":"1-J250-I250","v":0.33333333333333343},null,null,null,null,{"$f":"ROW()","v":250}]
[null,"Number of daily trucks delivering to area",null,null,null,null,null,{"$f":"CONCATENATE(\"Product of Rows \",P269, \" and \", P250, \".\")","v":"Product of Rows 269 and 250."},{"$f":"I250*$E$266","v":126.66666666666666},{"$f":"J250*$E$266","v":126.66666666666666},{"$f":"K250*$E$266","v":126.6666666666667},null,null,null,null,{"$f":"ROW()","v":251}]
[null,"Hours deployed in area where delivering groceries",null,null,null,null,null,"(Komanoff assumptions)",8,8,8,null,null,null,null,{"$f":"ROW()","v":252}]
[null,"Total truck-hours deployed in area where delivering groceries",null,null,null,null,null,{"$f":"CONCATENATE(\"Product of Rows \",P251, \" and \", P252, \".\")","v":"Product of Rows 251 and 252."},{"$f":"I251*I252","v":1013.3333333333333},{"$f":"J251*J252","v":1013.3333333333333},{"$f":"K251*K252","v":1013.3333333333336},null,null,null,null,{"$f":"ROW()","v":253}]
[null,"Miles to area where truck is deployed (1-way)",null,null,null,null,null,"(Komanoff, aided by Google Earth)",7,{"$f":"AVERAGE(4,3)","v":3.5},8,{"$f":"SUMPRODUCT($J$251:$K$251,J254:K254)/SUM($J$251:$K$251)","v":5.75},null,null,null,{"$f":"ROW()","v":254}]
[null,"Of which miles driven to that area within CBD are ",null,null,null,null,null,"(Komanoff, aided by Google Earth)",3,0,0,0,null,null,null,{"$f":"ROW()","v":255}]
[null,"And miles driven outside CBD to that area are ",null,null,null,null,null,{"$f":"CONCATENATE(\"Row \",P251, \" minus Row \", P254, \".\")","v":"Row 251 minus Row 254."},{"$f":"I254-I255","v":4},{"$f":"J254-J255","v":3.5},{"$f":"K254-K255","v":8},5.75,null,null,null,{"$f":"ROW()","v":256}]
[null,"Miles driven hovering/delivering within delivery zone (total)",null,null,null,null,null,"(Komanoff assumptions)",3,3,3,3,null,null,null,{"$f":"ROW()","v":257}]
[null,"Of which miles driven within CBD are ",null,null,null,null,null,null,3,0,0,0,null,null,null,{"$f":"ROW()","v":258}]
[null,"And miles driven outside CBD are",null,null,null,null,null,null,{"$f":"I257-I258","v":0},{"$f":"J257-J258","v":3},{"$f":"K257-K258","v":3},3,null,null,null,{"$f":"ROW()","v":259}]
[null,"Total miles driven within CBD, per truck",null,null,null,null,null,{"$f":"CONCATENATE(\"Twice Row \",P255, \" plus Row \", P258, \".\")","v":"Twice Row 255 plus Row 258."},{"$f":"2*I255+I258","v":9},0,0,0,null,null,null,{"$f":"ROW()","v":260}]
[null,"Total miles driven outside CBD, per truck",null,null,null,null,null,{"$f":"CONCATENATE(\"Twice Row \",P256, \" plus Row \", P259, \".\")","v":"Twice Row 256 plus Row 259."},8,10,19,14.5,null,null,null,{"$f":"ROW()","v":261}]
[null,"Hours deployed in area where delivering groceries",null,null,null,null,null,"(Komanoff assumptions)",8,8,8,null,null,null,null,{"$f":"ROW()","v":262}]
[null,"Congestion Index vis-à-vis CBD",null,null,null,null,null,null,1,0.6,0.4,0.49999999999999994,null,null,null,{"$f":"ROW()","v":263}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Congestion Indices reflect rough result that per-mile congestion causation on approaches to CBD is half that within CBD. See array in 'Delays' worksheet, Rows \",#REF!, \" and \",#REF!, \".\")","v":{"$error":"#REF!"}},null,null,null,null,null,{"$f":"ROW()","v":264}]
[null,"Deliveries",null,null,null,null,"Sources",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":265}]
[null,"No. trucks making deliveries (wkdays)",null,null,380,null,"From Fresh Direct Environmental Assessment, Table 3, \"Fresh Direct Distribution Facility: Shipping & Receiving [sic] Information, Weekday\" Figure is for \"Deliveries\" only, and excludes an additional 89 truck entries (and exits) to the facility shown under \"Receiving.\" Weekends are from Table 4.",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":266}]
[null,"No. trucks making deliveries (wkdays)",null,null,346,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":267}]
[null,"Deliveries per vehicle (calculated)",null,null,{"$f":"FreshDirect!E260","v":46.666666666666664},null,{"$f":"CONCATENATE(\"Calculated in, and taken from, original 'Fresh Direct' tab, Row \",FreshDirect!P260, \".\")","v":"Calculated in, and taken from, original 'Fresh Direct' tab, Row 260."},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":268}]
[null,"Deliveries per day",null,null,{"$f":"ROUND(E266*E268,-2)","v":17700},null,"Product of two prior rows (rounded to nearest hundred).",null,null,null,null,null,null,null,null,{"$f":"ROW()","v":269}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":270}]
[null,"Acres in cordon",null,null,null,null,5040,null,"Google Maps",null,null,null,null,null,null,{"$f":"ROW()","v":271}]
[null,"Delivery trucks to Manhattan CBD",null,null,null,null,{"$f":"E266*I250","v":126.66666666666666},null,"KEA estimate, on premise that one-half of deliveries are within Manhattan CBD.",null,null,null,null,null,null,{"$f":"ROW()","v":272}]
[null,"Delivery trucks to districts outside Manhattan CBD",null,null,null,null,{"$f":"E266-G272","v":253.33333333333334},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":273}]
[null,"Average size of truck's region (acres)",null,null,null,null,{"$f":"G271/G272","v":39.789473684210527},null,null,null,null,null,null,null,null,{"$f":"ROW()","v":274}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":275}]
[null,"\"The parcels [are] located between East 132nd Street and the Harlem River, and between Willis Avenue Bridge to the west and the Robert F. Kennedy Bridge to the east, Bronx, New York, 10454.\" NYCIDA PROJECT COST/BENEFIT ANALYSIS, Fresh Direct, LLC and U.T.F. Trucking, Inc., Jan. 26, 2012, p. 16 of 37.",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":276}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":277}]

{"sheet":"Horses","index":72,"n_rows":154,"n_cols":15,"rows_kept":154,"cut":false,"hidden":false,"merged":[[31,1,35,8],[150,1,151,8],[152,1,152,8],[139,1,141,8],[145,1,148,8],[36,1,40,8],[41,1,43,8],[51,8,51,9],[3,9,9,10],[117,13,121,13],[123,13,127,13],[129,13,133,13],[53,8,53,9],[3,1,5,8],[9,1,12,8],[110,13,114,13],[110,1,116,5],[67,1,69,8],[73,1,74,8],[58,1,60,8],[14,9,15,9],[14,8,15,8],[17,1,18,8],[20,1,21,8]]}
[null,"Horses",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Scenario now being run: \",Results!$K$27, \".\")","v":"Scenario now being run: Fix NYC higher-range plan."},null,null,null,null,{"$f":"ROW()","v":2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,"This worksheet develops parameters pertaining to New York City's horse-drawn carriage sector, for purposes of (i) comparing mean distance between collision incidents for carriage horses vs. motor vehicles, and (ii) estimating traffic delays due to movement of the carriages within the CBD.",null,null,null,null,null,null,null,{"$f":"CONCATENATE(\"Jan 19, 2016 addendum: To model traffic impacts of eliminating the West Side horse stables, follow instructions in text box in Rows \",'Policy Levers'!O270, \"-\",'Policy Levers'!O278, \" of this spreadsheet's 'Policy Levers' tab.\")","v":"Jan 19, 2016 addendum: To model traffic impacts of eliminating the West Side horse stables, follow instructions in text box in Rows 270-278 of this spreadsheet's 'Policy Levers' tab."},null,null,null,null,{"$f":"ROW()","v":4}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,"1. Mean Distance between Collision Incidents ",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":9}]
[null,"Note: for comparability with the carriage horse on-street data, we draw our motor vehicle crash data from the NYPD's Midtown North (a/k/a 018) Precinct, which extends from Central Park South to 45th Street and runs from Lexington Avenue to the Hudson River (west of 9th Avenue the precinct’s southern boundary is 43rd Street). Its location is nicely coterminous with the part of the street grid traversed by the carriage horses to and from their stations at Central Park South.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,"All Motor Vehicles","Carriage Horses",null,null,null,null,{"$f":"ROW()","v":15}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":16}]
[null,"Daily Miles Traveled in CBD (excludes Central Park)",null,null,null,null,null,null,{"$f":"('Motor Vs'!N164*weekday_per_yr+'Motor Vs Weekends'!N164*wkend_per_yr)/365","v":3182296.5752220703},{"$f":"J63","v":340},null,null,null,null,{"$f":"ROW()","v":17}]
[null,{"$f":"CONCATENATE(\"Figure for carriage horses is derived directly below and shown in Row \",O57,\". Figure for all mv's is weighted average of weekday and weekend miles in CBD given in 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, Row \",'Motor Vs'!O164,\".\")","v":"Figure for carriage horses is derived directly below and shown in Row 57. Figure for all mv's is weighted average of weekday and weekend miles in CBD given in 'Motor Vs' and 'Motor Vs Weekends' worksheet tabs, Row 164."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":19}]
[null,"Share of those daily miles allocable to jurisdiction to which crash/incident data (below) pertain",null,null,null,null,null,null,0.11,1,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Based on personal communication with former NYC Traffic Commissioner Sam Schwartz, Dec. 8, 2014, who rough-estimated that 10-12% of CBD VMT takes place in Midtown North precinct (geographical boundaries are discussed further below).",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":22}]
[null,"Daily Miles Traveled in jursidiction to which crash/incident data (below) pertain",null,null,null,null,null,null,{"$f":"I17*I20","v":350052.62327442772},{"$f":"J17*J20","v":340},null,null,null,null,{"$f":"ROW()","v":23}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O17, \" and \",O20, \".\")","v":"Product of Rows 17 and 20."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":24}]
[null,"Annual Miles Traveled in jursidiction to which crash/incident data (below) pertain",null,null,null,null,null,null,{"$f":"I23*365","v":127769207.49516612},{"$f":"J23*365","v":124100},null,null,null,null,{"$f":"ROW()","v":25}]
[null,{"$f":"CONCATENATE(\"Row \",O23, \" times 365.\")","v":"Row 23 times 365."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":26}]
[null,"Period covered with incident figures in preceding row, months",null,null,null,null,null,null,12,59,null,null,null,null,{"$f":"ROW()","v":27}]
[null,"Documented directly below.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Miles traveled in period to which crash/incident data pertain",null,null,null,null,null,null,{"$f":"I25","v":127769207.49516612},{"$f":"J25*J27/12","v":610158.33333333337},null,null,null,null,{"$f":"ROW()","v":29}]
[null,{"$f":"CONCATENATE(\"Motor vehicle figure duplicates Row \",O25, \". Carriage horse figure is Row \",O25, \" times Row \",O27, \" divided by 12.\")","v":"Motor vehicle figure duplicates Row 25. Carriage horse figure is Row 25 times Row 27 divided by 12."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Number of incidents/collisions involving vehicles or horses reported to NYPD on Midtown North streets",null,null,null,null,null,null,7941,30,null,null,null,null,{"$f":"ROW()","v":31}]
[null,"For all motor vehicles, we accessed NYPD crash data by precinct for each of the 12 months of 2012. Data for December 2012, for example, were downloaded via the link < http://nypd.openscrape.com/#/2012/12/cityacc.xlsx>. For that month, total vehicles in recorded crashes is 817. Excluding bicycles, pedicabs and “other” leaves a total of 780 presumed motor vehicles involved in crashes in Midtown North for that sample month. Analogous calculations for the other eleven months of 2012 (excluding scooters as well, which appear as a very small category in one or two months) yields a total of 7,941 motor vehicles involved in traffic crashes in Midtown North for all of 2012.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"For carriage horses, we accessed a database compiled by the animal rights advocacy group NYCLASS. It is in the form of a two-page file (RecordsSummary.pdf) that may be downloaded via the link <http://www.nyclass.org/records>. The file shows 31 incidents, with the first occurring on 10/21/2009 and the last on 04/23/2014. NYCLASS compiled these records from data provided by NYPD in response to a FOIL request proffered by the Animal Legal Defense Fund. In the NYCLASS dataset, each incident is represented by its date, time, location, and brief description provided by NYCLASS (e.g., “Driver of car stated that horse carriage hit his car and broke back window, carriage driver then left scene.”)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":41}]
[null,"One incident involving a carriage horse occurred within Central Park, leaving 30 that took place on the adjacent streets in the northern part of the Manhattan Central Business District. The period covered appears to have been 59 months, based on an apparent start date of June 1, 2009 and end date of May 1, 2014 for ALDF’s FOIL request.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Number of incidents/collisions on Midtown North streets per month",null,null,null,null,null,null,{"$f":"I31/I27","v":661.75},{"$f":"J31/J27","v":0.50847457627118642},null,null,null,null,{"$f":"ROW()","v":45}]
[null,{"$f":"CONCATENATE(\"Row \",O31, \" divided by \",O27, \".\")","v":"Row 31 divided by 27."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":46}]
[null,"Number of incidents/collisions on Midtown North streets per year",null,null,null,null,null,null,{"$f":"12*I45","v":7941},{"$f":"12*J45","v":6.101694915254237},null,null,null,null,{"$f":"ROW()","v":47}]
[null,{"$f":"CONCATENATE(\"Row \",O45, \" times \",O16, \".\")","v":"Row 45 times 16."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Miles traveled per incident",null,null,null,null,null,null,{"$f":"I25/I47","v":16089.81331005744},{"$f":"J25/J47","v":20338.611111111113},null,null,null,null,{"$f":"ROW()","v":49}]
[null,{"$f":"CONCATENATE(\"Row \",O25, \" divided by \",O47, \".\")","v":"Row 25 divided by 47."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Miles traveled per incident, rounded",null,null,null,null,null,null,{"$f":"ROUND(I49,-2)","v":16100},{"$f":"ROUND(J49,-2)","v":20300},null,null,null,null,{"$f":"ROW()","v":51}]
[null,"Percent to which carriage horses travel further between incidents than motor vehicles",null,null,null,null,null,null,{"$f":"J51/I51-1","v":0.26086956521739135},null,null,null,null,null,{"$f":"ROW()","v":52}]
[null,{"$f":"CONCATENATE(\"Ratio of carriage horse miles in Row \",$O$51, \" to motor vehicle miles in Row \",$O$51, \", less one.\")","v":"Ratio of carriage horse miles in Row 51 to motor vehicle miles in Row 51, less one."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":53}]
[null,"Percent by which carriage horses are involved in fewer incidents than m.v., for same distance traveled",null,null,null,null,null,null,{"$f":"1-I51/J51","v":0.2068965517241379},null,null,null,null,null,{"$f":"ROW()","v":54}]
[null,{"$f":"CONCATENATE(\"One minus ratio of motor vehicle miles in Row \",$O$51, \" to carriage horse miles in Row \",$O$51, \".\")","v":"One minus ratio of motor vehicle miles in Row 51 to carriage horse miles in Row 51."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":55}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":56}]
[null,"2. Miles traveled per day in CBD, entire horse-carriage sector",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":57}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":58}]
[null,"We estimate the total number of miles traveled by the horse-carriages within the CBD, and then convert the mileage to passenger-car equivalents (PCE's) reflecting their greater bulk and slower movement. We then annotate where the PCE miles should be inputted into other BTA tabs to calculate the traffic impacts.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":59}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":60}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":61}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":62}]
[null,"Result: miles traveled per day in CBD, entire horse-carriage sector (12-month average)",null,null,null,null,null,null,null,{"$f":"J65*J89","v":340},null,null,null,null,{"$f":"ROW()","v":63}]
[null,{"$f":"CONCATENATE(\"Derived in ensuing rows, and calculated as product of Rows \",O65, \" and \",O89, \".\")","v":"Derived in ensuing rows, and calculated as product of Rows 65 and 89."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":64}]
[null,"No. of licensed carriage horses",null,null,null,null,null,null,null,68,null,null,null,null,{"$f":"ROW()","v":65}]
[null,"Many sources.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":66}]
[null,"Average one-way distance between carriage stables and stands, miles",null,null,null,null,null,null,null,{"$f":"H134","v":1.6144657863145258},null,null,null,null,{"$f":"ROW()","v":67}]
[null,{"$f":"CONCATENATE(\"Derived in Rows \",O109, \"-\",O134, \" using Google-mapping driving (auto) routes between each of the four carriage stables and six carriage stands (using locations and numbers provided by Christina \" & \"Hansen (@CarriageCavalry) via email, April 23-24, 2014); and weighting them by stable and stand volumes. Figure shown is weighted average assuming random assignment of horses to the various stands.\")","v":"Derived in Rows 109-134 using Google-mapping driving (auto) routes between each of the four carriage stables and six carriage stands (using locations and numbers provided by Christina Hansen (@CarriageCavalry) via email, April 23-24, 2014); and weighting them by stable and stand volumes. Figure shown is weighted average assuming random assignment of horses to the various stands."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":68}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":69}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":70}]
[null,"Average number of round-trip journeys per licensed carriage, averaged across 365 days / year",null,null,null,null,null,null,null,{"$f":"J85","v":1.5239583333333331},null,null,null,null,{"$f":"ROW()","v":71}]
[null,{"$f":"CONCATENATE(\"Derived in next dozen rows and shown in Row \",O85, \".\")","v":"Derived in next dozen rows and shown in Row 85."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":72}]
[null,"Round-trip journeys per cab per day in summer (no inclement weather)",null,null,null,null,null,null,null,{"$f":"2*2/3+1*1/3","v":1.6666666666666665},null,null,null,null,{"$f":"ROW()","v":73}]
[null,"Based on representation by Christina Hansen (see note above) that 2/3 of carriages make 2 round trips, while 1/3 make 1 and operate for a shorter day to comply with the 9-hour shift limit.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":74}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":75}]
[null,"Round-trip journeys per cab per day in winter (no inclement weather)",null,null,null,null,null,null,null,{"$f":"2*1/2+1*1/2","v":1.5},null,null,null,null,{"$f":"ROW()","v":76}]
[null,"Same as note above.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":77}]
[null,"Summer months/year",null,null,null,null,null,null,null,7.5,null,null,null,null,{"$f":"ROW()","v":78}]
[null,"Winter months/year",null,null,null,null,null,null,null,{"$f":"12-J78","v":4.5},null,null,null,null,{"$f":"ROW()","v":79}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":80}]
[null,"Round-trip journeys per cab per day (no inclement weather)",null,null,null,null,null,null,null,{"$f":"1/12*(J73*J78+J76*J79)","v":1.6041666666666665},null,null,null,null,{"$f":"ROW()","v":81}]
[null,{"$f":"CONCATENATE(\"Weighted averages from Rows \",O73, \"-\",O79, \".\")","v":"Weighted averages from Rows 73-79."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":82}]
[null,"Days lost to Inclement weather, illness or injury, percent, year-round",null,null,null,null,null,null,null,0.05,null,null,null,null,{"$f":"ROW()","v":83}]
[null,"Komanoff estimate.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":84}]
[null,"Round-trip journeys per cab per day (no inclement weather)",null,null,null,null,null,null,null,{"$f":"(1-J83)*J81","v":1.5239583333333331},null,null,null,null,{"$f":"ROW()","v":85}]
[null,{"$f":"CONCATENATE(\"Product of Row \",O81, \" and complement of Row \",O83, \".\")","v":"Product of Row 81 and complement of Row 83."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":86}]
[null,"Average miles per day a horse-carriage is driven between stable and stand, year-round average",null,null,null,null,null,null,null,{"$f":"2*J85*J67","v":4.9207571778711472},null,null,null,null,{"$f":"ROW()","v":87}]
[null,{"$f":"CONCATENATE(\"Twice (for round-trip) the product of daily round-trips in Row \",O85, \" and average one-way miles in Row \",O67, \".\")","v":"Twice (for round-trip) the product of daily round-trips in Row 85 and average one-way miles in Row 67."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":88}]
[null,"Average miles per day per horse-carriage, rounded",null,null,null,null,null,null,null,{"$f":"ROUND(J87,0)","v":5},null,null,null,null,{"$f":"ROW()","v":89}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":90}]
[null,"Horse-Carriage \"Passenger Car Equivalent\"",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":91}]
[null,"1. Length",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":92}]
[null,"NYC taxicab (used as proxy for typical CBD passenger vehicle), inches",null,null,null,null,null,null,null,188.3,null,null,null,null,{"$f":"ROW()","v":93}]
[null,"http://en.wikipedia.org/wiki/Chevrolet_Malibu",null,null,"Chevrolet Malibu Classic (Sixth generation)",null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":94}]
[null,"Horse-and-carriage (combo), inches",null,null,null,null,null,null,null,{"$f":"12*22","v":264},null,null,null,null,{"$f":"ROW()","v":95}]
[null,"Christina Hansen, e-mail 23-April 2014: \"About 20 - 22 ft.\" Higher end of range is used here.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":96}]
[null,"Ratio, Horse-Carriage length to NYC taxicab ",null,null,null,null,null,null,null,{"$f":"ROUND(J95/J93,1)","v":1.4},null,null,null,null,{"$f":"ROW()","v":97}]
[null,"2. Height obstruction ratio",null,null,null,null,null,null,null,1.2,null,null,null,null,{"$f":"ROW()","v":98}]
[null,"Komanoff estimate, intended to roughly capture greater obstruction to flow of surrounding traffic due to horse-carriage's greater heigh",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":99}]
[null,"3. Speed obstruction ratio",null,null,null,null,null,null,null,1.5,null,null,null,null,{"$f":"ROW()","v":100}]
[null,"Komanoff estimate, intended to roughly capture greater obstruction to flow of surrounding traffic due to horse-carriage's lesser speed",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":101}]
[null,"Combined impact of factors 1-3",null,null,null,null,null,null,null,{"$f":"ROUND(PRODUCT(J97:J100),1)","v":2.5},null,null,null,null,{"$f":"ROW()","v":102}]
[null,{"$f":"CONCATENATE(\"Komanoff estimate, calculated as product of Rows \",O97, \", \",O98, \" and \",O100, \", intended to roughly capture greater obstruction to flow of surrounding traffic due to horse-carriage's lesser speed.\")","v":"Komanoff estimate, calculated as product of Rows 97, 98 and 100, intended to roughly capture greater obstruction to flow of surrounding traffic due to horse-carriage's lesser speed."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":103}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":104}]
[null,"Passenger-Car Equivalent (PCE) Miles traveled per day in CBD, entire horse-carriage sector (12-month average)",null,null,null,null,null,null,null,{"$f":"J63*J102","v":850},null,null,null,null,{"$f":"ROW()","v":105}]
[null,{"$f":"CONCATENATE(\"Product of Rows \",O57, \" and \",O102, \".\")","v":"Product of Rows 57 and 102."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":106}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":107}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":108}]
[null,"Details for calculated weighted-avg one-way distance betw stalls and stables",null,null,null,null,null,"No. of stables",{"$f":"SUM(J109:M109)","v":68},39,7,16,6,null,{"$f":"ROW()","v":109}]
[null,null,null,null,null,null,null,"No. of stands","TOTAL","618W52","608W48","538W38","537W37",null,{"$f":"ROW()","v":110}]
[null,{"$f":"CONCATENATE(\"We assume a random distribution of carriages and horses from their stables on mid-Manhattan's West Side to their stands on \" & \"Central Park South. First array at right is one-way distance per Google Maps Second array is number of occurrences of the twenty stall-stand combinations. Third \" & \"array is each combination's share of those occurrences. Fourth and last array shows cross-products of each combination's distance and share of occurrences. The \" & \"total, shown in Cell H\",O134, \", is the weighted-avg one way travel distance.\")","v":"We assume a random distribution of carriages and horses from their stables on mid-Manhattan's West Side to their stands on Central Park South. First array at right is one-way distance per Google Maps Second array is number of occurrences of the twenty stall-stand combinations. Third array is each combination's share of those occurrences. Fourth and last array shows cross-products of each combination's distance and share of occurrences. The total, shown in Cell H134, is the weighted-avg one way travel distance."},null,null,null,null,null,5,"230CPS",1,1.2,1.6,1.8,"One-way distance (miles) btw stall and stable",{"$f":"ROW()","v":111}]
[null,null,null,null,null,null,null,9,"7th/59th",1.1000000000000001,1.3,1.7,1.9,null,{"$f":"ROW()","v":112}]
[null,null,null,null,null,null,null,10,"6th/59th",1.3,1.4,1.8,2.1,null,{"$f":"ROW()","v":113}]
[null,null,null,null,null,null,null,10,"768 5th",1.5,1.6,2,2.2999999999999998,null,{"$f":"ROW()","v":114}]
[null,null,null,null,null,null,null,15,"5th/60th",1.7,1.9,2.2999999999999998,2.5,null,{"$f":"ROW()","v":115}]
[null,null,null,null,null,null,null,{"$f":"SUM(H111:H115)","v":49},"TOTAL",null,null,null,null,null,{"$f":"ROW()","v":116}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":117}]
[null,null,null,null,null,null,null,null,null,{"$f":"J$109*$H111","v":195},35,80,30,"X-Products of number of stalls and stables",{"$f":"ROW()","v":118}]
[null,"Carriage Stables",null,null,null,null,null,null,null,351,63,144,54,null,{"$f":"ROW()","v":119}]
[null,"Clinton Park Stables - 39 carriages, 618 W. 52nd St. btw 11th Ave & W Side Highway",null,null,null,null,null,null,null,390,70,160,60,null,{"$f":"ROW()","v":120}]
[null,"Chateau Stables - 7 carriages, 608 W. 48th St. btw 11th Ave & W Side Highway",null,null,null,null,null,null,null,390,70,160,60,null,{"$f":"ROW()","v":121}]
[null,"West Side Livery - 16 carriages, 538 W. 38th St., btw 10th and 11th Avenues",null,null,null,null,null,{"$f":"SUM(J118:M122)","v":3332},"TOTAL",585,105,240,90,null,{"$f":"ROW()","v":122}]
[null,"Central Park Carriages - 6 carriages, 537 W. 37th St., btw 10th and 11th Avenues",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":123}]
[null,null,null,null,null,null,null,null,null,{"$f":"J118/$H$122","v":5.8523409363745497E-2},1.050420168067227E-2,2.4009603841536616E-2,9.00360144057623E-3,"Each stall-stable's percent of sum of all X-products",{"$f":"ROW()","v":124}]
[null,"Carriage Stands",null,null,null,null,null,null,null,0.10534213685474189,1.8907563025210083E-2,4.3217286914765909E-2,1.6206482593037214E-2,null,{"$f":"ROW()","v":125}]
[null,"5 spots btw 8th and 7th Avenues (approx'ly 230 Central Park South)",null,null,null,null,null,null,null,0.11704681872749099,2.100840336134454E-2,4.8019207683073231E-2,1.800720288115246E-2,null,{"$f":"ROW()","v":126}]
[null,"9 spots at 7th and 59th.",null,null,null,null,null,null,null,0.11704681872749099,2.100840336134454E-2,4.8019207683073231E-2,1.800720288115246E-2,null,{"$f":"ROW()","v":127}]
[null,"10 spots at 6th and 59th.",null,null,null,null,null,{"$f":"SUM(J124:M128)","v":0.99999999999999978},"TOTAL",0.17557022809123649,3.1512605042016806E-2,7.202881152460984E-2,2.7010804321728692E-2,null,{"$f":"ROW()","v":128}]
[null,"5 spots on 59th across from Plaza Hotel (approx'ly 768 5th Ave.)",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":129}]
[null,"5 spots on 59th at 5th Ave & Grand Army Plaza (approx'ly 768 5th Ave.)",null,null,null,null,null,null,null,{"$f":"J111*J124","v":5.8523409363745497E-2},{"$f":"K111*K124","v":1.2605042016806723E-2},3.8415366146458588E-2,1.6206482593037214E-2,"Respective product of each pair's distance and share ",{"$f":"ROW()","v":130}]
[null,"9 spots on W side of GAP on E side of unnamed road (approx'ly 5th Ave at 60th St)",null,null,null,null,null,null,null,{"$f":"J112*J125","v":0.11587635054021608},2.4579831932773109E-2,7.3469387755102047E-2,3.0792316926770705E-2,null,{"$f":"ROW()","v":131}]
[null,"6-7 overflow spots on W side of same unnamed road (approx'ly 5th Ave at 60th St)",null,null,null,null,null,null,null,{"$f":"J113*J126","v":0.15216086434573831},2.9411764705882353E-2,8.6434573829531819E-2,3.7815126050420166E-2,null,{"$f":"ROW()","v":132}]
[null,null,null,null,null,null,null,null,null,{"$f":"J114*J127","v":0.17557022809123649},3.3613445378151266E-2,9.6038415366146462E-2,4.1416566626650657E-2,null,{"$f":"ROW()","v":133}]
[null,{"$f":"CONCATENATE(\"All carriage stable and stall info from Christina Hansen (see Row \",O68, \").\")","v":"All carriage stable and stall info from Christina Hansen (see Row 68)."},null,null,null,null,null,{"$f":"SUM(J130:M134)","v":1.6144657863145258},"TOTAL",{"$f":"J115*J128","v":0.29846938775510201},5.9873949579831928E-2,0.16566626650660263,6.7527010804321733E-2,null,{"$f":"ROW()","v":134}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":135}]
[null,"3. Inputting the horse-carriage mileage into other BTA tabs to calculate delay costs",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":136}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":137}]
[null,{"$f":"CONCATENATE(\"First, go to 'Results' tab. Using pull-down menu att'd to Cell K\",Results!N27, \", set the model so it is running the 'Baseline' scenario.\")","v":"First, go to 'Results' tab. Using pull-down menu att'd to Cell K27, set the model so it is running the 'Baseline' scenario."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":138}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":139}]
[null,"Continuing, note that both the Motor Vs and Motor Vs Weekend tabs contain sections in which exogenous additions to (or subtractions from) baseline CBD vehicle miles traveled (VMT) may be made to baseline estimates, to gauge the resulting traffic impacts.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":140}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":141}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":142}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":143}]
[null,{"$f":"CONCATENATE(\"In both worksheets, these are found in the small arrays spanning Rows \",'Motor Vs'!O975, \" to \",'Motor Vs'!O981, \".\")","v":"In both worksheets, these are found in the small arrays spanning Rows 975 to 981."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":144}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":145}]
[null,{"$f":"CONCATENATE(\"For the Motor V's tab (pertaining to weekdays), the user should divide the 'PCE' (passenger car equivalent') daily CBD VMT shown in Cell H\",O105, \" of this tab ('Horses') by four. One each of those quarters should be inputted into each of the Cells J\",'Motor Vs'!$O$976, \" and K\",'Motor Vs'!$O$976, \", to capture the trips from stable to stand; and the other one-half should be inputted into Cell L\",'Motor Vs'!$O$976, \" to capture the evening return journey.\")","v":"For the Motor V's tab (pertaining to weekdays), the user should divide the 'PCE' (passenger car equivalent') daily CBD VMT shown in Cell H105 of this tab ('Horses') by four. One each of those quarters should be inputted into each of the Cells J976 and K976, to capture the trips from stable to stand; and the other one-half should be inputted into Cell L976 to capture the evening return journey."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":146}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":147}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":148}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":149}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":150}]
[null,{"$f":"CONCATENATE(\"A parallel procedure should be used for the Motor Vs Weekend tab (includes holidays). One-fourth of the daily CBD PCE VMT shown in Cell H\",O105, \" should be inputted into each Cell H\",'Motor Vs'!$O$976, \", I\",'Motor Vs'!$O$976, \", J\",'Motor Vs'!$O$976, \" and K\",'Motor Vs'!$O$976, \".\")","v":"A parallel procedure should be used for the Motor Vs Weekend tab (includes holidays). One-fourth of the daily CBD PCE VMT shown in Cell H105 should be inputted into each Cell H976, I976, J976 and K976."},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":151}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":152}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":153}]
[null,"Impacts of these inputs on travel speeds and their monetized costs may be found in the Results and Cost-Benefit tabs.",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":154}]

{"sheet":"New Ideas","index":73,"n_rows":51,"n_cols":15,"rows_kept":51,"cut":false,"hidden":false,"merged":[]}
[null,"New Ideas",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"},null,null,null,null,{"$f":"ROW()","v":1}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":2}]
[null,"A. For analysis",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":3}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":4}]
[null,"1. Which creates greater social costs: an auto double-parked in CBD, or an auto idling in CBD?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":5}]
[null,"2. Would all-door boarding generate enough additional ridership to offset increased fare evasion?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":6}]
[null,"3. If electric cars are exempted from congestion fees, would the additiona emissions from increased stop-and-go driving offset the pollution reduction from substituting electric for combustion?",null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":7}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":8}]
[null,"B. Data updates",null,null,null,null,null,null,null,null,{"$f":"SUM(K11:K51)","v":121},null,null,null,{"$f":"ROW()","v":9}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":10}]
[null,"Subject",null,null,null,null,null,null,null,"Worksheets","Hours",null,null,null,{"$f":"ROW()","v":11}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":12}]
[null,"Verify and input 2016 CBD speed data from DOT 2018 NYC Mobility Report",null,null,null,null,null,null,null,"Speed-Vol., Cordon",4,null,null,null,{"$f":"ROW()","v":13}]
[null,null,null,null,null,null,null,null,null,"Motor Vs",2,null,null,null,{"$f":"ROW()","v":14}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":15}]
[null,"Update per-vehicle delay estimates and costs to reflect the new CBD speed data",null,null,null,null,null,null,null,"Delays",12,null,null,null,{"$f":"ROW()","v":16}]
[null,null,null,null,null,null,null,null,null,"Delay Costs",4,null,null,null,{"$f":"ROW()","v":17}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":18}]
[null,"Input 2017 MTA bridges revenue and volume data from 2018 Stantec report for TBTA",null,null,null,null,null,null,null,"MTA Crossings",4,null,null,null,{"$f":"ROW()","v":19}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":20}]
[null,"Input 2017 MTA bridges E-Zpass usage rates from 2018 Stantec report for TBTA",null,null,null,null,null,null,null,"MTA Crossings",2,null,null,null,{"$f":"ROW()","v":21}]
[null,null,null,null,null,null,null,null,null,"Cordon",2,null,null,null,{"$f":"ROW()","v":22}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":23}]
[null,"Input Mid-2018 Price levels throughout model",null,null,null,null,null,null,null,"Value of Time",3,null,null,null,{"$f":"ROW()","v":24}]
[null,null,null,null,null,null,null,null,null,"Motor Vs",2,null,null,null,{"$f":"ROW()","v":25}]
[null,null,null,null,null,null,null,null,null,"Parking",1,null,null,null,{"$f":"ROW()","v":26}]
[null,null,null,null,null,null,null,null,null,"elsewhere in BTA",2,null,null,null,{"$f":"ROW()","v":27}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":28}]
[null,"Gather, process and input 2018 Uber and Lyft volumes and zones",null,null,null,null,null,null,null,"UberLyft",16,null,null,null,{"$f":"ROW()","v":29}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":30}]
[null,"Obtain and input 2018 Medallion Taxi volumes",null,null,null,null,null,null,null,"Taxis",4,null,null,null,{"$f":"ROW()","v":31}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":32}]
[null,"Obtain and input 2017-18 subway volumes and revenues",null,null,null,null,null,null,null,"Subways",4,null,null,null,{"$f":"ROW()","v":33}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":34}]
[null,"Obtain and input 2017-18 bus volumes and revenues",null,null,null,null,null,null,null,"Buses",4,null,null,null,{"$f":"ROW()","v":35}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":36}]
[null,"Add feedback loop to Bus modeling so that gains in bus ridership ripple out as reductions in car and FHV usage",null,null,null,null,null,null,null,"Motor Vs",6,null,null,null,{"$f":"ROW()","v":37}]
[null,null,null,null,null,null,null,null,null,"Taxis",4,null,null,null,{"$f":"ROW()","v":38}]
[null,null,null,null,null,null,null,null,null,"UberLyft",4,null,null,null,{"$f":"ROW()","v":39}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":40}]
[null,"Obtain and input 2017-18 transit farecard media (largely: unlimited vs. per pay ride)",null,null,null,null,null,null,null,"Transit",3,null,null,null,{"$f":"ROW()","v":41}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":42}]
[null,"\"Mine\" Transit Center data & Fast Forward NYC plan to refine coefficient that translates subway investments into faster service ",null,null,null,null,null,null,null,"Transit",16,null,null,null,{"$f":"ROW()","v":43}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":44}]
[null,"Incorporate latest (2017?) Calif Air Resources Board emission motor vehicle emission factors ",null,null,null,null,null,null,null,"EMFAC",8,null,null,null,{"$f":"ROW()","v":45}]
[null,null,null,null,null,null,null,null,null,"Emissions",2,null,null,null,{"$f":"ROW()","v":46}]
[null,null,null,null,null,null,null,null,null,"Speed-CO2",2,null,null,null,{"$f":"ROW()","v":47}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":48}]
[null,"Input current CBD parking rates (prices) and shares (off-street vs. metered vs. paid-for vs. placards)",null,null,null,null,null,null,null,"Parking",4,null,null,null,{"$f":"ROW()","v":49}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"ROW()","v":50}]
[null,"Update revenue bases for alternative revenue sources such as sales tax, gasoline tax, Payroll Mobility Tax",null,null,null,null,null,null,null,"Taxes Instead",6,null,null,null,{"$f":"ROW()","v":51}]

{"sheet":"Regressions","index":74,"n_rows":89,"n_cols":10,"rows_kept":89,"cut":false,"hidden":false,"merged":[[21,5,21,7],[2,1,3,8],[13,1,14,8],[5,1,7,8],[16,1,17,8],[9,1,11,8]]}
[null,"Regressions",null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
[]
[null,"This worksheet applies statistical linear regression to historical data to infer the price-elasticity of motor vehicle trips across the East River."]
[]
[]
[null,"Two-year moving averages are used, to \"smooth\" temporary aberrations in travel data. The one-time but severe changes in travel patterns imposed after the 2001 attack on the World Trade Center make it advisable to combine five years of data (2001-2005) into a single averaged data row."]
[]
[]
[]
[null,"The Summary Output table (further below) indicates that each percentage change in the number of Manhattan jobs is associated with a 0.61% change in the number of E. River crossings; while each percentage change in the price to drive across the E. River is associated with an oppositely-signed 70% change in the number of crossings."]
[]
[]
[]
[null,"That is, the revealed price-elasticity of vehicle trips across the East River is (negative) 70%, indicating that East River vehicle trips are price-elastic."]
[]
[]
[null,"This finding jibes extraordinarily well with the auto price-elasticity estimates in the 1977 Tri-State Regional Planning Commission study (see Tri-State Elasticities worksheet): negative 50% for work trips and negative 90% for non-work trips."]
[]
[]
[null,"The Data"]
[]
[null,null,"East River","Manhattan","Price to","% Changes from Prior Period"]
[null,null,"Crossings","Jobs, 000","Cross E Riv","Crossings","Jobs","Price"]
[null,1978,{"$f":"Bridges!L204","v":607666},{"$f":"'Toll Rates'!R42","v":2177.9270000000001},{"$f":"'Trip Price'!Q37","v":15.522524081990527}]
[null,"1979-80",{"$f":"AVERAGE(Bridges!L205:L206)","v":608343},{"$f":"AVERAGE('Toll Rates'!R43:R44)","v":2193.2224999999999},{"$f":"AVERAGE('Trip Price'!Q38:Q39)","v":15.739122343515085},{"$f":"C25/C24-1","v":1.1140988635203186E-3},{"$f":"D25/D24-1","v":7.0229626612827722E-3},{"$f":"E25/E24-1","v":1.3953804186772611E-2}]
[null,"1981-82",{"$f":"AVERAGE(Bridges!L207:L208)","v":632957},{"$f":"AVERAGE('Toll Rates'!R45:R46)","v":2242.2825000000003},{"$f":"AVERAGE('Trip Price'!Q40:Q41)","v":14.970567690816337},{"$f":"C26/C25-1","v":4.046072692543512E-2},2.2368911498947597E-2,-4.8830845578591742E-2]
[null,"1983-84",{"$f":"AVERAGE(Bridges!L209:L210)","v":651005.5},{"$f":"AVERAGE('Toll Rates'!R47:R48)","v":2266.0565000000001},{"$f":"AVERAGE('Trip Price'!Q42:Q43)","v":14.455637082978349},2.851457523970824E-2,1.060258910284495E-2,-3.439619782447334E-2]
[null,"1985-86",{"$f":"AVERAGE(Bridges!L211:L212)","v":702804.5},{"$f":"AVERAGE('Toll Rates'!R49:R50)","v":2336.7894999999999},{"$f":"AVERAGE('Trip Price'!Q44:Q45)","v":13.838290790022917},7.9567684143989625E-2,3.1214137864611802E-2,-4.270626672568878E-2]
[null,"1987-88",{"$f":"AVERAGE(Bridges!L213:L214)","v":698227},{"$f":"AVERAGE('Toll Rates'!R51:R52)","v":2388.1289999999999},{"$f":"AVERAGE('Trip Price'!Q46:Q47)","v":13.664593874945904},-6.5131910794538062E-3,2.1970100430526607E-2,-1.2551905268694319E-2]
[null,"1989-90",{"$f":"AVERAGE(Bridges!L215:L216)","v":683077.5},{"$f":"AVERAGE('Toll Rates'!R53:R54)","v":2359.4115000000002},{"$f":"AVERAGE('Trip Price'!Q48:Q49)","v":13.660850633995056},-2.1697098508078327E-2,-1.2025104171508261E-2,-2.7393722675594923E-4]
[null,"1991-92",{"$f":"AVERAGE(Bridges!L217:L218)","v":685821.5},{"$f":"AVERAGE('Toll Rates'!R55:R56)","v":2165.2690000000002},{"$f":"AVERAGE('Trip Price'!Q50:Q51)","v":13.336315970685369},4.0171137242845933E-3,-8.2284289959593693E-2,-2.3756548695590074E-2]
[null,"1993-94",{"$f":"AVERAGE(Bridges!L219:L220)","v":656353},{"$f":"AVERAGE('Toll Rates'!R57:R58)","v":2113.306},{"$f":"AVERAGE('Trip Price'!Q52:Q53)","v":13.413190076532658},-4.2968177579734701E-2,-2.3998403893465525E-2,5.7642684843599579E-3]
[null,"1995-96",{"$f":"AVERAGE(Bridges!L221:L222)","v":690708.5},{"$f":"AVERAGE('Toll Rates'!R59:R60)","v":2122.8249999999998},{"$f":"AVERAGE('Trip Price'!Q54:Q55)","v":13.461771436417241},5.23430227331938E-2,4.5043169328056187E-3,3.6219094493843418E-3]
[null,"1997-98",{"$f":"AVERAGE(Bridges!L223:L224)","v":746888.5},{"$f":"AVERAGE('Toll Rates'!R61:R62)","v":2284.7039999999997},{"$f":"AVERAGE('Trip Price'!Q56:Q57)","v":13.324346264710723},8.1336772314225092E-2,7.6256403613109924E-2,-1.0208550364683155E-2]
[null,"1999-2000",{"$f":"AVERAGE(Bridges!L225:L226)","v":760637.5},{"$f":"AVERAGE('Toll Rates'!R63:R64)","v":2334.5330000000004},{"$f":"AVERAGE('Trip Price'!Q58:Q59)","v":13.612538737628373},1.8408370191802303E-2,2.180982744373039E-2,2.1629014076354647E-2]
[null,"2001-2005",{"$f":"AVERAGE(Bridges!L227:L231)","v":710442.21917808219},{"$f":"AVERAGE('Toll Rates'!R65:R69)","v":2253.3525999999997},{"$f":"AVERAGE('Trip Price'!Q60:Q64)","v":14.651163862568362},-6.5991067784480495E-2,-3.4773721339557251E-2,7.6299149259276389E-2]
[]
[null,"SUMMARY OUTPUT"]
[]
[null,"Regression Statistics"]
[null,"Multiple R",0.83013150598005037,null,"ANOVA"]
[null,"R Square",0.68911831722070638,null,null,"df","SS","MS","F","Signif F"]
[null,"Adj R Square",0.62003349882530778,null,"Regression",2,1.5738442060245477E-2,7.8692210301227385E-3,9.9749602478017803,5.2080854756563592E-3]
[null,"Std Error",2.8087318895901849E-2,null,"Residual",9,7.1000773448407642E-3,7.8889748276008494E-4]
[null,"Obsrvtns",12,null,"Total",11,2.283851940508624E-2]
[]
[]
[null,null,null,"Coefficients","Std Error","t Stat","P-value","Lower 95%","Upper 95%"]
[null,"Intercept",null,8.8858961474911468E-3,8.1942398214637086E-3,1.0844076254902544,0.30637712510627646,-9.6507762858487316E-3,2.7422568580831023E-2]
[null,"X Var 1 (% change jobs)",null,0.60748998948599264,0.22373929094555264,2.7151690117487073,2.3795262750305968E-2,0.10135616412956017,1.1136238148424251]
[null,"X Var 2 (% change price)",null,-0.70043886130596233,0.26047513937274774,-2.6890814340005527,2.483385474531255E-2,-1.2896750126490049,-0.1112027099629197]
[]
[null,"RESIDUAL OUTPUT"]
[]
[null,"Observation","Predicted Y","Residuals"]
[null,{"$f":"B25","v":"1979-80"},3.3784889452849604E-3,-2.2643900817646417E-3]
[null,"1981-82",5.6677807832476002E-2,-1.6217080907040882E-2]
[null,"1983-84",3.9419296527531449E-2,-1.0904721287823209E-2]
[null,"1985-86",5.7761301266648656E-2,2.180638287734097E-2]
[null,"1987-88",3.1024354460662516E-2,-3.7537545540116318E-2]
[null,"1989-90",1.7726420199518772E-3,-2.3469740528030206E-2]
[null,"1991-92",-2.4460976378026036E-2,2.847809010231063E-2]
[null,"1993-94",-9.7304116348777645E-3,-3.3237765944856938E-2]
[null,"1995-96",9.0852974631627382E-3,4.3257725270031064E-2]
[null,"1997-98",6.2361363369682142E-2,1.897540894454295E-2]
[null,"1999-2000",6.9853460011617529E-3,1.1423024190640551E-2]
[null,"2001-2005",-6.5681680689246541E-2,-3.0938709523395391E-4]
[]
[]
[null,"Note: In an alternative analysis excluding the Triborough Bridge (i.e., with TB Manhattan Plaza crossings zeroed-out in Bridges"]
[null,"and Toll Rates worksheets), the coefficients are virtually unchanged. Here are results:"]
[]
[null,"Regression Statistics"]
[null,"Multiple R",0.8]
[null,"R Square",0.64]
[null,"Adjusted R Square",0.56999999999999995]
[null,"Standard Error",0.03]
[null,"Observations",12]
[]
[null,"ANOVA"]
[null,null,"df","SS","MS","F","Significance F"]
[null,"Regression",2,1.7828697000000001E-2,8.9143480000000008E-3,8.1483585699999992,9.5565809999999998E-3]
[null,"Residual",9,9.8460490000000008E-3,1.0940050000000001E-3]
[null,"Total",11,2.7674746E-2]
[]
[null,null,"Coefficients","Standard Error","t Stat","P-value","Lower 95%","Upper 95%"]
[null,"Intercept",6.0000000000000001E-3,0.01,0.66300000000000003,0.52400000000000002,-1.6E-2,2.8000000000000001E-2]
[null,"X Variable 1",0.64900000000000002,0.26400000000000001,2.4609999999999999,3.5999999999999997E-2,5.1999999999999998E-2,1.246]
[null,"X Variable 2",-0.69899999999999995,0.28999999999999998,-2.411,3.9E-2,-1.3560000000000001,-4.2999999999999997E-2]

{"sheet":"BTA 1.0","index":75,"n_rows":31,"n_cols":10,"rows_kept":31,"cut":false,"hidden":false,"merged":[[10,1,15,9],[4,1,9,9],[26,1,29,9],[16,1,19,9],[20,1,25,9]]}
[null,"BTA 1.0",null,null,null,null,null,null,null,{"$f":"'Title Page'!G2","v":"2019-09-15"}]
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[null,"Important technical note 1 for BTA 1.0: As \"Balancing Congestion Pricing and Free Transit in New York City,\" the report based on the prior spreadsheet, went to press in Jan. 2008, we noticed several anomalies in the Summary results (and in the Cost-Benefit figures on which the Summary results are based): When the 10 \"policy choices\" are set to 2007 conditions, some results don't match current conditions; most notably, \"Increase in Funds Available to Agencies,\" which should be zero, is $180 million. "]
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[null,"We traced this anomaly to a gain of $170 million in \"Motor Vehicle Tolls\" in the Cost Benefit worksheet. (The other $10 million \"increase\" was due to an error in converting daily transit revenues to annual.) It arose because the $2.76 figure for current tolls, which underlay the calculation of toll revenues, was overstated, causing toll revenues in the \"Revenue\" worksheet to be calculated in the third column block as $723 million, rather than their then-current (2006) value of $550 million. The difference (rounded) was $170 million."]
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[null,"The $2.76 average toll rate was calculated from East River entries to the CBD rather than from all portals. Correcting this figure, to a value around $2.10, will slightly increase the impact of the cordon fee, and, consequently, increase the traffic reduction while slightly reducing the revenue gain. This correction has been made in BTA 1.1."]
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[null,"Important technical note 2: After we released the Jan. 2008 report noted above, a Grist commenter pointed out that we hadn't linked parking pricing revenues to the reduction in CBD crossings that parking pricing would evoke. We had taken credit for new parking revenues without reflecting the drop in toll revenues due to trips eliminated by charging for parking. Our inadvertent double-counting probably led us to overstate annual revenue by $160 million. (See discussion here: <http://bit.ly/fHCDi5>. This defect does not occur in BTA 1.1, which does not analyze (or take credit for) parking revenues."]
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[null,"We remain confident in the original spreadsheet's (BTA 1.0) overall accuracy and consistency and its capacity to reasonably predict policy outcomes. At this point, however, BTA 1.0 is useful primarily as an historical artifact. For transport-policy debates in New York City and elsewhere, the reader should use the present spreadsheet, BTA 1.1."]
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[null,"For a copy of BTA 1.0, released 24-Jan-2008, go to www.kheelplan.org, where you'll find a link for downloading the original spreadsheet."]