Locating Fast Charging Stations for Safe and Reliable Intercity Electric Vehicle Travel in Washington

It is generally believed that direct current fast charging (DCFC) infrastructure has a significant effect on consumer adoption of electric vehicles (Evs), especially for long trips. To examine this relationship in Washington state, the expected adoption rate of EVs in each zip code was estimated by using a zero-inflated negative binomial model and then compared with the current adoption rate of EVs. The difference between expected and actual number of EVs in each zip code was then examined to determine whether it corresponded to the density of current DC fast charging stations in that zip code or adjacent zip codes. Results showed that in the northern and eastern parts of the state there are few DCFC charging stations and also lower than expected EV adoption rates. In contrast, the western part of the state showed higher EV adoption than predicted based on sociodemographic characteristics, along with a much greater concentration of DCFC stations. These results could be used for making policies related to future investments in this field.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Pacific Northwest Transportation Consortium

    University of Washington
    More Hall Room 112
    Seattle, WA  United States  98195-2700

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Jabbari, Parastoo
    • Khaloei, Moein
    • MacKenzie, Don
  • Publication Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 36p

Subject/Index Terms

Filing Info

  • Accession Number: 01708398
  • Record Type: Publication
  • Contract Numbers: DTRT-G-UTC40
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Jun 10 2019 10:07AM