An Exploratory Analysis to Estimate the Value of Free Charging Bundle in Electric Vehicle Purchases

This research establishes a national estimate of the willingness-to-pay (WTP) for a free charging bundle in the United States electric vehicle market. Using a stated choice experiment conducted using a probability-based sample from an internet panel, 36 choice scenarios were generated with 9 scenarios received per respondent. Individuals chose between three vehicles (two EVs and a comparable gasoline vehicle) with varying vehicle attributes: purchase price, driving range, annual fuel cost, and years of free charging. For EVs, the free charging bundle was offered at four levels: zero, one, two, and three years. Results from the mixed logit and latent class analysis showed heterogeneity in the sensitivity to the free charging time scale with a significant share of the population showing no sensitivity to a single year of free charging. All population segments experienced some WTP for free charging at the two- and three-year time frames.

    Language

    • English

    Project

    • Status: Completed
    • Funding: $73619
    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Center for Teaching Old Models New Tricks

      Arizona State University
      Tempe, AZ  United States  85287
    • Project Managers:

      Pendyala, Ram

    • Performing Organizations:

      University of South Florida, Tampa

      3650 Spectrum Boulevard, Suite 160
      Tampa, FL  United States  33612
    • Principal Investigators:

      Maness, Michael

    • Start Date: 20210901
    • Expected Completion Date: 20220801
    • Actual Completion Date: 20220621
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01848888
    • Record Type: Research project
    • Source Agency: Center for Teaching Old Models New Tricks
    • Files: UTC, RIP
    • Created Date: Jun 20 2022 11:39PM