Fully charged: An empirical study into the factors that influence connection times at EV-charging stations

Rick Wolbertus, Maarten Kroesen, Robert van den Hoed and Caspar Chorus

Energy Policy, 2018, vol. 123, issue C, 1-7

Abstract: This study is the first to systematically and quantitatively explore the factors that determine, the length of charging sessions at public charging stations for electric vehicles in urban areas, with, particular emphasis placed on the combined parking- and charging-related determinants of connection, times. We use a unique and large data set – containing information concerning 2.6 million charging, sessions of 64,000 (i.e., 60% of) Dutch EV-users – in which both private users and taxi and car sharing, vehicles are included; thus representing a large variation in charging duration behaviour. Using, multinomial logistic regression techniques, we identify key factors explaining heterogeneity in charging, duration behaviour across charging stations. We show how these explanatory variables can be used to, predict EV-charging behaviour in urban areas and we derive preliminary implications for policy-makers, and planners who aim to optimize types and size of charging infrastructure.

Keywords: Electric vehicles; Charging infrastructure; Connection times (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421518305585
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:123:y:2018:i:c:p:1-7

DOI: 10.1016/j.enpol.2018.08.030

Access Statistics for this article

Energy Policy is currently edited by N. France

More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().