IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v110y2023ics0966692323001163.html
   My bibliography  Save this article

Exploring the influences of ride-hailing services on VMT and transit usage – Evidence from California

Author

Listed:
  • Tian, Guang
  • Ewing, Reid
  • Li, Han

Abstract

With years in the market, ride-hailing services have generated broad impacts on almost every aspect of transportation, from the system level – such as congestion, vehicle miles traveled (VMT), transit ridership, etc. – to the household/individual level – such as vehicle ownership, mode choice, destination choice, etc. This study aims to explore the influences of ride-hailing services on VMT and transit usage at the household level by controlling for both socioeconomic and built environmental characteristics by using pre-COVID-19 data from California. While spatial distributions, descriptive statistics, and statistical tests reveal some connections between ride-hailing usage, household VMT generation, and transit usage, a few of these relationships lose statistical significance in multilevel two-stage regressions once the built environment where people reside is controlled for. The two remaining significant relationships include: 1) occasional ride-hailing usage (1–3 times per month) correlates with increased household VMT generation, and 2) frequent ride-hailing usage (4 or more times per month) is linked to a higher likelihood of utilizing any transit services. Together with previous literature, this study suggests that the associations between ride-hailing services and household VMT generation and transit usage may vary at the household level and depend on the frequency of usage, local contexts, household characteristics, etc., such as the built environment of where people live, employment status, household income, etc. Policymakers and planners should consider all factors to create efficient, sustainable and equitable transportation systems for all.

Suggested Citation

  • Tian, Guang & Ewing, Reid & Li, Han, 2023. "Exploring the influences of ride-hailing services on VMT and transit usage – Evidence from California," Journal of Transport Geography, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:jotrge:v:110:y:2023:i:c:s0966692323001163
    DOI: 10.1016/j.jtrangeo.2023.103644
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692323001163
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2023.103644?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    2. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    3. Choi, Yunkyung & Guhathakurta, Subhrajit & Pande, Anurag, 2022. "An empirical Bayes approach to quantifying the impact of transportation network companies (TNCs) operations on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 269-283.
    4. Michael Manville & Brian D. Taylor & Evelyn Blumenberg & Andrew Schouten, 2023. "Vehicle access and falling transit ridership: evidence from Southern California," Transportation, Springer, vol. 50(1), pages 303-329, February.
    5. Rodier, Caroline, 2018. "The Effects of Ride Hailing Services on Travel and Associated Greenhouse Gas Emissions," Institute of Transportation Studies, Working Paper Series qt2rv570tt, Institute of Transportation Studies, UC Davis.
    6. Wenting Li & Amer Shalaby & Khandker Nurul Habib, 2022. "Exploring the correlation between ride-hailing and multimodal transit ridership in toronto," Transportation, Springer, vol. 49(3), pages 765-789, June.
    7. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.
    8. Meredith-Karam, Patrick & Kong, Hui & Wang, Shenhao & Zhao, Jinhua, 2021. "The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19," Journal of Transport Geography, Elsevier, vol. 97(C).
    9. 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.
    10. Yash Babar & Gordon Burtch, 2020. "Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use," Information Systems Research, INFORMS, vol. 31(3), pages 820-834, September.
    11. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    12. Schaller, Bruce, 2021. "Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities," Transport Policy, Elsevier, vol. 102(C), pages 1-10.
    13. Yuanyuan Zhang & Yuming Zhang, 2018. "Exploring the Relationship between Ridesharing and Public Transit Use in the United States," IJERPH, MDPI, vol. 15(8), pages 1-23, August.
    14. Reid Ewing & Robert Cervero, 2017. "“Does Compact Development Make People Drive Less?” The Answer Is Yes," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 19-25, January.
    15. Reid Ewing & Guang Tian & JP Goates & Ming Zhang & Michael J Greenwald & Alex Joyce & John Kircher & William Greene, 2015. "Varying influences of the built environment on household travel in 15 diverse regions of the United States," Urban Studies, Urban Studies Journal Limited, vol. 52(13), pages 2330-2348, October.
    16. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.
    17. Ngo, Nicole S. & Götschi, Thomas & Clark, Benjamin Y., 2021. "The effects of ride-hailing services on bus ridership in a medium-sized urban area using micro-level data: Evidence from the Lane Transit District," Transport Policy, Elsevier, vol. 105(C), pages 44-53.
    18. Malalgoda, Narendra & Lim, Siew Hoon, 2019. "Do transportation network companies reduce public transit use in the U.S.?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 351-372.
    19. 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.
    20. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    21. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    22. Barajas, Jesus M. & Brown, Anne, 2021. "Not minding the gap: Does ride-hailing serve transit deserts?," Journal of Transport Geography, Elsevier, vol. 90(C).
    23. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    2. Brown, Anne, 2022. "Not all fees are created equal: Equity implications of ride-hail fee structures and revenues," Transport Policy, Elsevier, vol. 125(C), pages 1-10.
    3. Blanco, Hilda & Wikstrom, Alexander, 2018. "Transit-Oriented Development Opportunities Among Failing Malls," Institute of Transportation Studies, Working Paper Series qt3h62q04h, Institute of Transportation Studies, UC Davis.
    4. Choi, Yunkyung & Guhathakurta, Subhrajit & Pande, Anurag, 2022. "An empirical Bayes approach to quantifying the impact of transportation network companies (TNCs) operations on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 269-283.
    5. Loa, Patrick & Ong, Felita & Hawkins, Jason & Nurul Habib, Khandker, 2023. "Unravelling the relationship between ride-sourcing services and conventional modes in the city of Toronto: A stated preference study," Transport Policy, Elsevier, vol. 141(C), pages 209-220.
    6. Adam Millard-Ball & Liwei Liu & Whitney Hansen & Drew Cooper & Joe Castiglione, 2023. "Where ridehail drivers go between trips," Transportation, Springer, vol. 50(5), pages 1959-1981, October.
    7. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    8. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    9. Guan, Xiaodong & Wang, Donggen, 2019. "Influences of the built environment on travel: A household-based perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 710-724.
    10. Blaudin de Thé, Camille & Carantino, Benjamin & Lafourcade, Miren, 2021. "The carbon ‘carprint’ of urbanization: New evidence from French cities," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    11. Jixiang Liu & Longzhu Xiao, 2024. "Socioeconomic differences in effect size: predicting commuting mode choice of migrants and locals using a light gradient boosting approach," Transportation, Springer, vol. 51(1), pages 1-24, February.
    12. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    13. Wenyuan Zhou & Xuanrong Li & Zhenguo Shi & Bingjie Yang & Dongxu Chen, 2023. "Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    14. Gödde, Jan & Ruhrort, Lisa & Allert, Viktoria & Scheiner, Joachim, 2023. "User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich," Journal of Transport Geography, Elsevier, vol. 109(C).
    15. Tomás Cox & Ricardo Hurtubia, 2022. "Compact development and preferences for social mixing in location choices: Results from revealed preferences in Santiago, Chile," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 246-269, January.
    16. Tao, Tao & Wang, Jueyu & Cao, Xinyu, 2020. "Exploring the non-linear associations between spatial attributes and walking distance to transit," Journal of Transport Geography, Elsevier, vol. 82(C).
    17. Mitra, Suman K. & Saphores, Jean-Daniel M., 2017. "Carless in California: Green choice or misery?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 1-12.
    18. Liang, Yuan & Yu, Bingjie & Zhang, Xiaojian & Lu, Yi & Yang, Linchuan, 2023. "The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    19. Brown, Anne, 2021. "Not All Fees are Created Equal: Equity Implications of Ride-hail Fee Structures," OSF Preprints cpsqu, Center for Open Science.
    20. Liang Guo & Shuo Yang & Qinghao Zhang & Leyu Zhou & Hui He, 2023. "Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 20(2), pages 1-28, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:110:y:2023:i:c:s0966692323001163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.