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.


Original document

The different versions of the original document can be found in:

http://resolver.tudelft.nl/uuid:487b3aa3-47f7-40b8-a9a3-f062cd59de5a
https://api.elsevier.com/content/article/PII:S0301421518305585?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.enpol.2018.08.030 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://pure.hva.nl/ws/files/4937739/fully_charged_preprint.pdf,
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A487b3aa3-47f7-40b8-a9a3-f062cd59de5a,
https://ideas.repec.org/a/eee/enepol/v123y2018icp1-7.html,
https://academic.microsoft.com/#/detail/2888605497
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Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1016/j.enpol.2018.08.030
Licence: Other

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