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Are travelers substituting between transportation network companies (TNC) and public buses? A case study in Pittsburgh

Author

Listed:
  • Rick Grahn

    (Carnegie Mellon University)

  • Sean Qian

    (Carnegie Mellon University
    Carnegie Mellon University)

  • H. Scott Matthews

    (Carnegie Mellon University)

  • Chris Hendrickson

    (Carnegie Mellon University
    Carnegie Mellon University
    Carnegie Mellon University)

Abstract

Transportation network companies (TNC) provide mobility services that are influencing travel behavior in unknown ways due to limited TNC trip-level data. How they interact with other modes of transportation can have direct societal impacts, prompting appropriate policy intervention. This paper outlines a method to inform such policies through a data-driven approach that specifically analyzes the interaction between TNCs and bus services in Pittsburgh, PA. Uber surge multiplier data is used over a 6-month time period to approximate TNC usage (i.e., demand over supply ratio) for ten predefined points of interest throughout the city. Bus boarding data near each point of interest is used to relate TNC usage. Data from multiple sources (weather, traffic speed data, bus levels of service) are used to control for conditions that influence bus ridership. We find significant changes in bus boardings during periods of unusually high TNC usage at four locations during the evening hours. The remaining six locations observe no significant change in bus boardings. We find that the presence of a dedicated bus way transit station or a nearby university (or dense commercial zones in general) both influence ad-hoc substitutional behavior between TNCs and public transit. We also find that this behavior varies by location and time of day. This finding is significant and important for targeted policies that improve transportation network efficiency.

Suggested Citation

  • Rick Grahn & Sean Qian & H. Scott Matthews & Chris Hendrickson, 2021. "Are travelers substituting between transportation network companies (TNC) and public buses? A case study in Pittsburgh," Transportation, Springer, vol. 48(2), pages 977-1005, April.
    • Handle: RePEc:kap:transp:v:48:y:2021:i:2:d:10.1007_s11116-020-10081-4
    DOI: 10.1007/s11116-020-10081-4
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    References listed on IDEAS

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    Cited by:

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    3. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    4. Hasnine, Md Sami & Hawkins, Jason & Habib, Khandker Nurul, 2021. "Effects of built environment and weather on demands for transportation network company trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 171-185.
    5. Omar Isaac Asensio & Camila Z. Apablaza & M. Cade Lawson & Edward W. Chen & Savannah J. Horner, 2022. "Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy," Nature Energy, Nature, vol. 7(11), pages 1100-1108, November.

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