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Charging Forward: Deploying Electric Vehicle Infrastructure for Uber and Lyft in California

Author

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  • Jenn, Alan
Abstract
With recent policies such as the Clean Miles Standard in California and Lyft’s announcement to reach 100% electric vehicles (EVs) by 2030, the electrification of vehicles on ride-hailing platforms is inevitable. The impacts of this transition are not well-studied. This work attempts to examine the infrastructure deployment necessary to meet demand from electric vehicles being driven on Uber and Lyft platforms using empirical trip data from the two services. The Widespread Infrastructure for Ride-hail EV Deployment (WIRED) model was developed to examine a set of case studies for charger installation in San Diego, Los Angeles, and the San Francisco Bay Area. A set of sensitivity scenarios was also conducted to measure the tradeoff between explicit costs of infrastructure versus weighting factors for valuing the time for drivers to travel to a charger (from where they are providing rides) and valuing the rate of charging (to minimize the amount of time that drivers have to wait to charge their vehicle). There are several notable findings from the study: 1) DC fast charging infrastructure is the dominant charger type necessary to meet ride-hailing demand, 2) shifting to overnight charging behavior that places less emphasis on daytime public charging can significantly reduce costs, and 3) the necessary ratio of chargers is approximately 10 times higher for EVs in Uber and Lyft compared to chargers for the general EV owning public.

Suggested Citation

  • Jenn, Alan, 2021. "Charging Forward: Deploying Electric Vehicle Infrastructure for Uber and Lyft in California," Institute of Transportation Studies, Working Paper Series qt6vk0h1mj, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt6vk0h1mj
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    References listed on IDEAS

    as
    1. Ferro, G. & Minciardi, R. & Robba, M., 2020. "A user equilibrium model for electric vehicles: Joint traffic and energy demand assignment," Energy, Elsevier, vol. 198(C).
    2. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2018. "Consumer evaluation of public charging infrastructure for electric vehicles," Working Papers "Sustainability and Innovation" S13/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
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    Cited by:

    1. Lai, Zhijie & Li, Sen, 2024. "Towards a multimodal charging network: Joint planning of charging stations and battery swapping stations for electrified ride-hailing fleets," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    2. Rye, Jamie & Sintov, Nicole D., 2024. "Predictors of electric vehicle adoption intent in rideshare drivers relative to commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

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    More about this item

    Keywords

    Engineering; Social and Behavioral Sciences; Case studies; Costs; Electric vehicle charging; Electric vehicles; Forecasting; Implementation; Infrastructure; Ridesourcing; Travel demand; Travel time;
    All these keywords.

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