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Widespread range suitability and cost competitiveness of electric vehicles for ride-hailing drivers

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  • Taiebat, Morteza
  • Stolper, Samuel
  • Xu, Ming

Abstract

Transportation network companies provide an increasingly significant share of mobility, which has prompted interest in curbing greenhouse gas emissions in the ride-hailing sector. Vehicle electrification offers the possibility of vast emissions reductions, but a number of factors are thought to constrain this transition. We investigate two such factors – battery electric vehicle (BEV) range and total cost of ownership – from 2019 driving data covering all U.S. drivers on the Lyft platform. We estimate that, for more than 86% of drivers, their daily travel needs can be met by a fully charged BEV with listed range of 250 miles (BEV250) on at least 95% of days. New and pre-owned BEVs both appear to be cost-saving for many drivers. We estimate that a $5,700 BEV purchase subsidy would make new BEVs cost-competitive to gas-powered vehicles for all drivers on the Lyft platform, holding annual mileage and vehicle prices constant. Our results suggest that range and lifetime cost should not be significant barriers to widespread EV take-up in the ride-hailing sector. More generally, they suggest that continued moderate subsidies for BEVs, information interventions, and targeting of such programs to ride-hailing drivers who stand to gain most from them will promote a faster transition in this sector. Driver-targeted outreach and information provision related to EV benefits, as well as expansion of charging availability and fast charging rates through local and federal policy, are additional valuable steps to encourage ride-hailing electrification.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:319:y:2022:i:c:s0306261922006055
    DOI: 10.1016/j.apenergy.2022.119246
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    References listed on IDEAS

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    1. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    2. Alexandre Milovanoff & I. Daniel Posen & Heather L. MacLean, 2020. "Electrification of light-duty vehicle fleet alone will not meet mitigation targets," Nature Climate Change, Nature, vol. 10(12), pages 1102-1107, December.
    3. 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.
    4. Henao, Alejandro & Marshall, Wesley E., 2019. "An analysis of the individual economics of ride-hailing drivers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 440-451.
    5. 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.
    6. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    7. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
    8. Zachary A. Needell & James McNerney & Michael T. Chang & Jessika E. Trancik, 2016. "Potential for widespread electrification of personal vehicle travel in the United States," Nature Energy, Nature, vol. 1(9), pages 1-7, September.
    9. Palmer, Kate & Tate, James E. & Wadud, Zia & Nellthorp, John, 2018. "Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan," Applied Energy, Elsevier, vol. 209(C), pages 108-119.
    10. Morteza Taiebat & Samuel Stolper & Ming Xu, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use A Microeconomic Study of Induced Travel and Energy Rebound," Papers 1902.00382, arXiv.org, revised May 2019.
    11. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.
    12. Alan Jenn, 2020. "Emissions benefits of electric vehicles in Uber and Lyft ride-hailing services," Nature Energy, Nature, vol. 5(7), pages 520-525, July.
    13. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," Applied Energy, Elsevier, vol. 247(C), pages 297-308.
    14. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," LawArXiv dk6qv, Center for Open Science.
    15. Hardman, Scott & Chandan, Amrit & Tal, Gil & Turrentine, Tom, 2017. "The effectiveness of financial purchase incentives for battery electric vehicles – A review of the evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1100-1111.
    16. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
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