IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt1203t5fj.html
   My bibliography  Save this paper

Characteristics and Experiences of Ride-Hailing Drivers with Plug-in Electric Vehicles

Author

Listed:
  • Sanguinetti, Angela
  • Kurani, Ken

Abstract

Electrification of transportation network companies (TNCs; e.g., Uber and Lyft) presents a path for reduced emissions as well as potential benefits to drivers via reduced costs for fueling and vehicle maintenance. This report describes 732 TNC PEV drivers in the United States in terms of their demographic characteristics, motivations for driving PEVs on TNCs, charging patterns, and ideas to improve the experience of driving PEVs on TNCs. Greater understanding of these early adopters can inform strategies to promote further adoption. The economic benefits of fuel and maintenance savings associated with PEVs featured in drivers’ reported motivations for PEV adoption. Most BEV and PHEV drivers reported charging their PEV every day, most often at home and overnight, and most were willing to charge once or more while actively driving on TNCs. A large cluster of TNC PEV drivers reported predominately using public DC fast charging, indicating a heavy reliance on public charging infrastructure. Range limitations topped the list of reasons why PHEV drivers did not opt for a BEV, and increased range topped the list of PEV drivers’ wishes to better support PEVs on TNCs. The next most common wish was for more charger locations. The third and fourth ranked wishes were financial bonuses for trip targets and more pre-trip information, which are more exclusively under the control of TNCs.

Suggested Citation

  • Sanguinetti, Angela & Kurani, Ken, 2020. "Characteristics and Experiences of Ride-Hailing Drivers with Plug-in Electric Vehicles," Institute of Transportation Studies, Working Paper Series qt1203t5fj, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt1203t5fj
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1203t5fj.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jenn, Alan, 2019. "Emissions Benefits of Electric Vehicles in Uber and Lyft Services," Institute of Transportation Studies, Working Paper Series qt15s1h1kn, Institute of Transportation Studies, UC Davis.
    2. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2022. "Widespread range suitability and cost competitiveness of electric vehicles for ride-hailing drivers," Applied Energy, Elsevier, vol. 319(C).

    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. 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.
    2. Sumitkumar, Rathor & Al-Sumaiti, Ameena Saad, 2024. "Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    3. Wadud, Zia, 2020. "The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 301-312.
    4. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    5. Abdul Rais Abdul Latiff & Saidatulakmal Mohd, 2023. "Transport, Mobility and the Wellbeing of Older Adults: An Exploration of Private Chauffeuring and Companionship Services in Malaysia," IJERPH, MDPI, vol. 20(3), pages 1-17, February.
    6. Hamid Mostofi & Houshmand Masoumi & Hans-Liudger Dienel, 2020. "The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo," IJERPH, MDPI, vol. 17(23), pages 1-19, November.
    7. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    8. 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).
    9. Gabbe, C.J. & Pierce, Gregory & Clowers, Gordon, 2020. "Parking policy: The effects of residential minimum parking requirements in Seattle," Land Use Policy, Elsevier, vol. 91(C).
    10. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.
    11. 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.
    12. Goodall, Noah, 2020. "Non-technological challenges for the remote operation of automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 14-26.
    13. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.
    14. Berrebi, Simon J. & Watkins, Kari E., 2020. "Who’s ditching the bus?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 21-34.
    15. Lee, Yongsung & Circella, Giovanni & Chen, Grace & Kim, Ilsu & Mokhtarian, Patricia L., 2024. "If Pooling with a Discount were Available for the Last Solo-Ridehailing Trip, How Much Additional Travel Time Would Users Have Accepted and for Which Types of Trips?," Institute of Transportation Studies, Working Paper Series qt1dc3v8ms, Institute of Transportation Studies, UC Davis.
    16. Du, Mingyang & Cheng, Lin & Li, Xuefeng & Liu, Qiyang & Yang, Jingzong, 2022. "Spatial variation of ridesplitting adoption rate in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 13-37.
    17. Nadine Kostorz & Eva Fraedrich & Martin Kagerbauer, 2021. "Usage and User Characteristics—Insights from MOIA, Europe’s Largest Ridepooling Service," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    18. Zwick, Felix & Axhausen, Kay W., 2022. "Ride-pooling demand prediction: A spatiotemporal assessment in Germany," Journal of Transport Geography, Elsevier, vol. 100(C).
    19. 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.
    20. Bin-Nun, Amitai Y. & Binamira, Isabel, 2020. "A framework for the impact of highly automated vehicles with limited operational design domains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 174-188.

    More about this item

    Keywords

    Social and Behavioral Sciences; electric vehicle; adoption; ride-hailing; ride-sharing; transportation network company;
    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:qt1203t5fj. 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.