Airport and Ground Access Choice Modeling

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Presentation transcript:

Airport and Ground Access Choice Modeling Chrissy Bernardo, Surabhi Gupta, & Peter Vovsha WSP

Airport and Ground Access Choice Modeling Airports are large, important generators of regional trips They also face many of their own important planning issues Air passengers have very different behavior from other travelers Questions: What will the mode split of trips to my region’s airport look like in the future? Can we divert more air passengers to smaller regional airports by improving ground access by highway? By transit? How does changing the fare on transit service to the airport impact ridership? How does that impact transit conditions? Highway conditions? What is the impact of adding transit service to an airport on highway conditions around the airport?

Airport Choice Modeling Levels Model Type Scope High-Level Mid-Level Low-Level Regional airport capacity and growth analysis Multiple, competing regional airports Regional air travel totals Airport-by-airport passenger numbers Airport by mode by market Airport ground access planning and operations Detailed ground access network for single airport Airport passenger and employee totals Terminal-by-terminal numbers by mode Detailed segment (line/link) by market (including employees)

Regional Airport Modeling Year 2005 Million Annual Passengers

Model Output – Regional Airports Have rail directly to airport Large Regional Airports

Airport / Mode Choice Driving Factors Regional Growth Magnitude and pattern of population and employment growth Change in regional demographic characteristics (income) Ground Access Highway access – increased congestion, tolling, taxi / Uber fares? Improved transit airport access Existing or new service Air Capacity and Air Service Changes Airfares at specific airports, number of flights to destination city, etc.

Modeled Alternatives: Airport Ground Access Auto Drop off/pick up Auto park/short term Auto park/off airport/shuttle AirTrain w/ auto access Long Term Parking + AirTrain Rental car + AirTrain AirTrain w/ transit access Commuter Rail + AirTrain Subway A + AirTrain Subway B + AirTrain Local bus + AirTrain General transit Local bus Airport Shuttle Bus Shared ride (Super Shuttle) Other Taxi/limousine Uber/Lyft/Gett

Model Output – Airport Ground Access Trips on an Average Annual Day Uses AirTrain? Pays AirTrain Fare? Boolean   Market Total Employee Air Passenger Other Resident Visitor Mode Yes No Total Employees Single 10-ride 30-day Business Non-Business Connecting Flight 1 Drop-off x 2,270 11,922 1,691 12,432 853 29,167 2 Auto Park - Short Term 387 1,467 362 2,215 3 Auto Park - Long Term / Airtrain 820 5,325 126 6,271 4 Auto Park - Off Airport/ Shuttle 80 386 17 482 5 Rental Car / Airtrain 1,250 2,366 20 3,636 6 Employee Drove Yourself 9,810 1,804 6,315 7 Employee Drove Yourself / Airtrain 5,143 737 1,105 3,302 8 Employee Shared Ride 2,428 388 194 1,845 9 LIRR / Airtrain 647 64 97 487 479 1,216 298 1,471 100 4,211 10 Subway - Howard Beach / Airtrain 953 179 197 577 107 1,192 210 1,392 156 4,010 11 Subway - Jamaica / Airtrain 1,978 348 289 1,341 385 2,369 450 3,298 336 8,816 12 Local bus 10,665 1,506 1,945 7,214 21 40 10,745 13 Local bus - Jamaica/ Airtrain 1,939 306 301 1,332 132 15 2,162 14 Local bus - Lefferts Blvd / Airtrain 1,857 346 452 1,059 285 70 2,212 Local bus - Howard Beach /Airtrain 942 139 184 618 90 22 1,080 16 NYC Airporter 102 327 221 477 18 1,145 Shared Ride/ Hotel Courtesy 245 2,057 570 5,968 57 8,898 Taxi/Limousine 6,664 13,236 2,908 17,875 160 41,040 19 Uber/Lyft 79 39 2,869 5,075 2,406 6,934 239 17,602 Airtrain 3,710 467 564 2,680 622 595 10,583 483 16,022 Total Daily Trips 40,346 6,210 7,132 27,005 14,448 45,369 10,031 53,287 3,031 177,095

Trips by Market

Access Mode by Market

Model Output – Airport Transit JM Rail and Subway Trips yJF yFJ Subway & Local Bus Trips Local Bus Trips y Daily Riders Connecting Passengers z Daily Riders T7 zLH zFL HB LB zHL zLF T5 x Daily Riders FC T8 zF1 yF1 Long Term & Employee Parking x42 Rental Car Trips T4 z1F y1F x24 T1 T2

Multi-Resolution Data Aggregate Total enplanements by airport / terminal, proportion of connecting passengers Total employees Regional LOS by various modes to/from regional origins/destinations Projected population, employment, and real income growth Airport Detailed LOS at/on airport Projected terminal development plans Survey of air passengers and/or employees

Construction of LOS for Entire Trip Airport model Gate at Term. 1 Regional model Major Station Term. 1 Light Rail Term. 2 Main St. Rail Access point Hotel

Multi-Resolution Airport Model Sample enumeration model General model can potentially be expanded to ports for freight movements

Interesting Results Air passengers have high VOT $40/hr for non-business travelers $60/hr for business travelers Air Passengers highly value: Reliability Convenience (especially when traveling with bags) Visitors (particularly international travelers): Less familiar with local transit systems Less inclined to drive (especially rental car) Cost may be proportional to party size (transit), OR give an “economy of scale” with larger groups (long term parking, taxi/Uber) Airport employees make up a substantial share of transit ridership to airports, but are much more price-sensitive

Contacts Chrissy Bernardo Peter Vovsha Senior Modeler Systems Analysis Group Chrissy.Bernardo@wsp.com Peter Vovsha Assistant Vice President Peter.Vovsha@wsp.com