Modeling Electric Vehicle Charging Behaviour: What Is the Relationship Between Charging Location, Driving Distance and Range Anxiety?

For parking operators and charging service providers it is critical to understand the factors that influence the demand for charging electric vehicles away from home. This information will not only help them to better anticipate the impact on the power grid, but also to develop revenue-maximizing demand response strategies. Recent studies suggest that observable and unobservable attributes of travel demand affect the location and the frequency of charging events. Nevertheless, it is unlikely that there is a simple one-way causality in the relationship, since the distinctive characteristics of electric vehicles might also lead to transformations in travel behaviour. In order to examine these ambiguous interrelationships the authors develop two models: a binary logistic regression for home charging vs out-of-home charging and an ordered logit regression for the daily distance driven with an electric vehicle. Attitudes and perceptions of individuals towards range constraints are indirectly captured with latent constructs like schedule flexibility or mobility necessity. The data used for the analysis were collected through the administration of an online survey to electric vehicle drivers in the UK and Ireland. Results show that there is an intrinsic link between charging and travel behaviour with potential implications both in a strategic and an operational level.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values. Alternate title: Modeling Electric Vehicle Charging Behavior: What Is the Relationship Between Charging Location, Driving Distance, and Range Anxiety?
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Charilaos, Latinopoulos
    • Sivakumar, Aruna
    • Polak, John
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01626722
  • Record Type: Publication
  • Report/Paper Numbers: 17-05273
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 27 2017 9:26AM