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Modeling taxi drivers’ decisions for improving airport ground access: John F. Kennedy airport case

Listed author(s):
  • Anil Yazici, M.
  • Kamga, Camille
  • Singhal, Abhishek
Registered author(s):

    Taxi service is an important component of airport ground access, which affects the economic competitiveness of an airport and its potential positive impact on the surrounding region. Airports across the globe experience both taxi shortages and excesses due to various factors such as the airport’s proximity to the city center, timing and frequency of flights, and the fare structure. Since taxi drivers are independent entities whose decisions affect the taxi supply at airports, it is important to understand taxi drivers’ decision mechanisms in order to suggest policies and to maintain taxi demand and supply equilibrium at the airports. In this paper, New York City (NYC) taxi drivers’ decisions about airport pick-ups or cruising for customers at the end of each trip is modeled using logistic regression based on a large taxi GPS dataset. The presented approach helps to quantify the potential impacts of parameters and to rank their influence for policy recommendations. The results reveal that spatial variables (mainly related to proximity) have the highest impact on taxi drivers’ airport pickup decisions, followed by temporal, environmental and driver-shift related variables. Along with supplementary information from unstructured taxi driver interviews, the model results are used to suggest policies for the improvement of John F. Kennedy (JFK) airport’s ground access and passenger satisfaction, i.e. the implementation of taxi driver frequent airport server punch cards and a time-specific ride share program.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416305067
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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 91 (2016)
    Issue (Month): C ()
    Pages: 48-60

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    Handle: RePEc:eee:transa:v:91:y:2016:i:c:p:48-60
    DOI: 10.1016/j.tra.2016.06.004
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    1. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 407-441.
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    5. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    6. Yang, Hai & Fung, C.S. & Wong, K.I. & Wong, S.C., 2010. "Nonlinear pricing of taxi services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 337-348, June.
    7. Wong, R.C.P. & Szeto, W.Y. & Wong, S.C., 2014. "Bi-level decisions of vacant taxi drivers traveling towards taxi stands in customer-search: Modeling methodology and policy implications," Transport Policy, Elsevier, vol. 33(C), pages 73-81.
    8. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    9. Tsamboulas, Dimitrios A. & Nikoleris, Anastasios, 2008. "Passengers' willingness to pay for airport ground access time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1274-1282, December.
    10. Wai Yuen Szeto & Ryan Cheuk Pong Wong & Sze Chun Wong & Hai Yang, 2013. "A time-dependent logit-based taxi customer-search model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(2), pages 184-198, July.
    11. Sean D. Barrett, 2010. "The Sustained Impacts Of Taxi Deregulation," Economic Affairs, Wiley Blackwell, vol. 30(1), pages 61-65, March.
    12. Camille Kamga & Alison Conway & Abhishek Singhal & Anil Yazici, 2012. "Using Advanced Technologies to Manage Airport Taxicab Operations," Journal of Urban Technology, Taylor & Francis Journals, vol. 19(4), pages 23-43, October.
    13. Gelhausen, Marc C., 2011. "Modelling the effects of capacity constraints on air travellers’ airport choice," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 116-119.
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