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Role of Vehicle Technology on Use: Joint analysis of the choice of Plug-in Electric Vehicle ownership and miles traveled

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Listed:
  • Chakraborty, Debapriya
  • Bunch , David S.
  • Brownstone, David

Abstract

The increasing diversity of vehicle type holdings and growing demand for BEVs and PHEVs have serious policy implications for travel demand and air pollution. Consequently, it is important to accurately predict or estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body- and fuel-type to project future VMT changes and mobile source emission levels. Leveraging the 2019 California Vehicle Survey data, this report presents the application of a utility-based model for multiple discreteness that combines multiple vehicle types with usage in an integrated model, specifically the MDCEV model. The model results suggest the important effects of household demographics, residence location, and built environment factors on vehicle body type and powertrain choice and usage. Further the predictions associated with changes inbuilt environment factors like population density can inform the design of land-use and transportation policies to influence household vehicle holdings and usage that can in turn impact travel demand and air quality issues in California. View the NCST Project Webpage

Suggested Citation

  • Chakraborty, Debapriya & Bunch , David S. & Brownstone, David, 2023. "Role of Vehicle Technology on Use: Joint analysis of the choice of Plug-in Electric Vehicle ownership and miles traveled," Institute of Transportation Studies, Working Paper Series qt3jj3v7pw, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt3jj3v7pw
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    References listed on IDEAS

    as
    1. Lloro, Alicia & Brownstone, David, 2018. "Vehicle choice and utilization: Improving estimation with partially observed choices and hybrid pairs," Journal of choice modelling, Elsevier, vol. 28(C), pages 137-152.
    2. Gillingham, Kenneth & Jenn, Alan & Azevedo, Inês M.L., 2015. "Heterogeneity in the response to gasoline prices: Evidence from Pennsylvania and implications for the rebound effect," Energy Economics, Elsevier, vol. 52(S1), pages 41-52.
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    More about this item

    Keywords

    Social and Behavioral Sciences; Automobile ownership; Choice models; Demographics; Electric vehicles; Households; Hybrid vehicles; Vehicle miles of travel;
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