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Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles

Author

Listed:
  • Jingya Gao

    (Tongji University
    University of Washington)

  • Andisheh Ranjbari

    (University of Washington)

  • Don MacKenzie

    (University of Washington)

Abstract

It is widely believed that vehicle automation will change how travelers perceive the value of travel time (VoTT), but the magnitude of this effect is still unknown. This study investigates how highly automated vehicles (AVs) may affect VoTT, using an existing mode—ridehailing services (RHS)—as an analogy for AVs. Both AVs and RHS relieve travelers from the effort of driving and allow them to participate in other activities while traveling. In a stated choice experiment, respondents chose between driving a personal vehicle or taking an RHS, with each mode characterized by a cost and travel time. Analysis results using a mixed logit model indicated that the VoTT was 13% lower when being driven in an RHS than when driving a personal car. We also told half the respondents (randomly selected) that the RHS was driverless; and for half (also randomly selected) we explicitly mentioned the ability to multitask while traveling in an RHS. Mentioning multitasking explicitly led to a much lower VoTT, approximately half that of driving oneself. However, the VoTT in a driverless RHS was 15% higher than when driving a personal car, which may reflect a lack of familiarity and comfort with driverless technology at present. These results suggest sizable reductions in VoTT for travel in future AVs, and point to the need for caution in making forecasts based on consumers’ current perceptions of AV technology.

Suggested Citation

  • Jingya Gao & Andisheh Ranjbari & Don MacKenzie, 2019. "Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles," Transportation, Springer, vol. 46(6), pages 2103-2116, December.
    • Handle: RePEc:kap:transp:v:46:y:2019:i:6:d:10.1007_s11116-019-10031-9
    DOI: 10.1007/s11116-019-10031-9
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    3. Devon McAslan & Farah Najar Arevalo & David A. King & Thaddeus R. Miller, 2021. "Pilot project purgatory? Assessing automated vehicle pilot projects in U.S. cities," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-16, December.
    4. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    5. Lavoie, Brenden & Ong, Felita & Habib, Khandker Nurul, 2024. "Relax on the way to work or work on the way to relax? Influences of vehicle interior on travel time perceptions in autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
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    7. Compostella, Junia & Fulton, Lewis M. & De Kleine, Robert & Kim, Hyung Chul & Wallington, Timothy J. & Brown, Austin L., 2021. "Travel time costs in the near- (circa 2020) and long-term (2030–2035) for automated, electrified, and shared mobility in the United States," Transport Policy, Elsevier, vol. 105(C), pages 153-165.
    8. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    9. Zou, Tianqi & Aemmer, Zack & MacKenzie, Don & Laberteaux, Ken, 2022. "A framework for estimating commute accessibility and adoption of ridehailing services under functional improvements from vehicle automation," Journal of Transport Geography, Elsevier, vol. 102(C).
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