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Trade Uber for the Bus?

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  • Xiaoxia Dong

Abstract

Problem, research strategy, and findings: Few studies have examined ride-hail users’ individual preferences between ride-hail and transit. Based on a survey of ride-hail users in the Philadelphia (PA) region, I examine who uses ride-hail and investigate ride-hail users’ willingness to use ride-hail versus transit. My results suggest that more than one-quarter of respondents replaced transit with ride-hail in their last ride-hail trips. Mixed logit regression analysis based on stated preference choice experiments indicate that higher-income respondents and respondents over 30 years old are increasingly willing to choose ride-hail over transit, even though their actual ride-hail usage is lower than that among lower-income and younger respondents. Results also show that female respondents are more willing to choose ride-hail over transit than male respondents and less frequent transit users are more likely to choose ride-hail than frequent transit users. Higher cost and longer trip duration are significant deterrents for travel by either mode. Respondents consider the time spent on walking to and from transit more burdensome than in-vehicle travel time and wait time for transit and ride-hail. They consider waiting for ride-hail less burdensome than waiting for transit. Survey sampling and design limitations provide lessons for future ride-hail studies.Takeaway for practice: Practitioners should ensure convenient, affordable travel options for lower-income residents, who are more frequent but less willing ride-hail users than higher-income residents. Female respondents’ safety concerns about transit should urge transit agencies to recognize female transit riders’ travel needs. The relationship between age and willingness to use ride-hail reminds planners to anticipate greater substitution of ride-hail for transit as the more tech-savvy generation starts entering their 30s. Last, fare reduction alone may not be enough to prompt ride-hail users to switch to transit. Service improvements that shorten the overall trip duration are imperative to make transit more attractive.

Suggested Citation

  • Xiaoxia Dong, 2020. "Trade Uber for the Bus?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(2), pages 222-235, April.
  • Handle: RePEc:taf:rjpaxx:v:86:y:2020:i:2:p:222-235
    DOI: 10.1080/01944363.2019.1687318
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    Cited by:

    1. Barajas, Jesus & Brown, Anne, 2020. "Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?," SocArXiv y4jwk, Center for Open Science.
    2. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.
    3. Abdelwahab, Bilal & Palm, Matthew & Shalaby, Amer & Farber, Steven, 2021. "Evaluating the equity implications of ridehailing through a multi-modal accessibility framework," Journal of Transport Geography, Elsevier, vol. 95(C).
    4. Xiaoxia Dong & Erick Guerra & Ricardo A. Daziano, 2022. "Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia," Transportation, Springer, vol. 49(6), pages 1577-1597, December.
    5. Blumenberg, Evelyn & Paul, Julene & Pierce, Gregory, 2021. "Travel in the digital age: Vehicle ownership and technology-facilitated accessibility," Transport Policy, Elsevier, vol. 103(C), pages 86-94.
    6. Dubey, Subodh & Cats, Oded & Hoogendoorn, Serge & Bansal, Prateek, 2022. "A multinomial probit model with Choquet integral and attribute cut-offs," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 140-163.
    7. Li, Shengxiao(Alex) & Zhai, Wei & Jiao, Junfeng & Wang, Chao (Kenneth), 2022. "Who loses and who wins in the ride-hailing era? A case study of Austin, Texas," Transport Policy, Elsevier, vol. 120(C), pages 130-138.
    8. Brown, Anne, 2021. "Not All Fees are Created Equal: Equity Implications of Ride-hail Fee Structures," OSF Preprints cpsqu, Center for Open Science.

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