IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt6q1382xd.html
   My bibliography  Save this paper

Ridehailing, Uncertainty, and Sustainable Transportation: How Transportation Stakeholders are Responding to the Unknowns Surrounding Ridehailing

Author

Listed:
  • Pike, Susan
  • Pilatwosky Gruner, Raiza

Abstract

This study investigates how stakeholders throughout California view the potential impacts of ridehailing services, such as Uber or Lyft, on transportation systems, and how to address such impacts. The stakeholders surveyed included city planning agencies, regional transportation planning agencies, metropolitan planning organizations, state agencies, ridehailing service providers, interest groups, and non-profits. Ridehailing is one of several emerging shared use mobility alternatives, poised to impact transportation systems, for better or worse. For better, if these new services catalyze the development and maturation of well-integrated multi-model transportation systems that serve all travelers and reduce vehicle miles traveled (VMT) and transportation emissions. For worse, if these new services serve merely as a less expensive taxi, allowing more people to forego alternative modes of transportation like public transit and biking, thereby leading to increases in VMT, emissions, and congestion. The high degree of uncertainty surrounding the impacts of these services presents challenges to stakeholders involved in transportation planning and policy making. Through interviews, the researchers investigated the viewpoints of 42 transportation stakeholders throughout the state of California. They find that the diversity of interviewees is reflected in the sentiments they have about ridehailing, what issues are important and potential obstacles to achieving positive outcomes. Nonetheless, interviewees agree that regulations should balance local control with state level guidance. View the NCST Project Webpage

Suggested Citation

  • Pike, Susan & Pilatwosky Gruner, Raiza, 2020. "Ridehailing, Uncertainty, and Sustainable Transportation: How Transportation Stakeholders are Responding to the Unknowns Surrounding Ridehailing," Institute of Transportation Studies, Working Paper Series qt6q1382xd, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt6q1382xd
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/6q1382xd.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    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. Nair, Gopindra S. & Bhat, Chandra R. & Batur, Irfan & Pendyala, Ram M. & Lam, William H.K., 2020. "A model of deadheading trips and pick-up locations for ride-hailing service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 289-308.
    2. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    3. Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Tri Basuki Joewono & Nurvita I. M. Simanjuntak, 2020. "Do motorcycle-based ride-hailing apps threaten bus ridership? A hybrid choice modeling approach with latent variables," Public Transport, Springer, vol. 12(1), pages 207-231, March.
    4. 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.
    5. Behram Wali & Paolo Santi & Carlo Ratti, 2023. "A joint demand modeling framework for ride-sourcing and dynamic ridesharing services: a geo-additive Markov random field based heterogeneous copula framework," Transportation, Springer, vol. 50(5), pages 1809-1845, October.
    6. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    7. Barreto, Yuri & Silveira Neto, Raul da Mota & Carazza, Luis, 2021. "Uber and traffic safety: Evidence from Brazilian cities," Journal of Urban Economics, Elsevier, vol. 123(C).
    8. 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.
    9. Vignon, Daniel & Yin, Yafeng & Ke, Jintao, 2023. "Regulating the ride-hailing market in the age of uberization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    10. Ong, Felita & Loa, Patrick & Nurul Habib, Khandker, 2024. "Ride-sourcing demand in Metro Vancouver: Looking through the lens of disability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    11. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    12. Pangbourne, Kate & Mladenović, Miloš N. & Stead, Dominic & Milakis, Dimitris, 2020. "Questioning mobility as a service: Unanticipated implications for society and governance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 35-49.
    13. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    14. Zhang, Yufeng & Khani, Alireza, 2021. "Integrating transit systems with ride-sourcing services: A study on the system users’ stochastic equilibrium problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 95-123.
    15. Lindsey, Robin & de Palma, André & Silva, Hugo E., 2019. "Equilibrium in a dynamic model of congestion with large and small users," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 82-107.
    16. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    17. Xu, Yiming & Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2021. "Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 170-188.
    18. Wang, Yiyuan & Shen, Qing, 2023. "An economic analysis of incorporating new shared mobility into public transportation provision," Transport Policy, Elsevier, vol. 141(C), pages 263-273.
    19. Wei Chen & Karen Xie & Jianwei Liu & Yong Liu, 2019. "How Incumbents Beat Disruptors? Evidence from Hotels’ Responses to Home-sharing Rivals," Working Papers 19-11, NET Institute.
    20. Guo, Yuhan & Zhang, Yu & Boulaksil, Youssef & Qian, Yaguan & Allaoui, Hamid, 2023. "Modelling and analysis of online ride-sharing platforms – A sustainability perspective," European Journal of Operational Research, Elsevier, vol. 304(2), pages 577-595.

    More about this item

    Keywords

    Social and Behavioral Sciences; Exhaust gases; Interviewing; Ridesourcing; Stakeholders; Sustainable transportation; Transportation planning; Uncertainty; Vehicle miles of travel;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cdl:itsdav:qt6q1382xd. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.