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

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

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• http://dx.doi.org/10.1016/j.enpol.2018.08.030

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• https://pure.hva.nl/en/publications/fully-charged(c21f2181-ed19-4e6a-ac65-4b4edb870f8f).html

• http://dx.doi.org/10.1016/j.enpol.2018.08.030,

http://resolver.tudelft.nl/uuid:487b3aa3-47f7-40b8-a9a3-f062cd59de5a

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• https://www.sciencedirect.com/science/article/pii/S0301421518305585,

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,

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https://academic.microsoft.com/#/detail/2888605497