Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28887
Title: A stated adaptation instrument for studying travel patterns after electric vehicle adoption
Authors: LANGBROEK, Joram 
Franklin, Joel P.
Susilo, Yusak O.
Issue Date: 2018
Publisher: ELSEVIER SCIENCE BV
Source: Bonnel, P Munizaga, M Morency, C Trepanier, M (Ed.). TRANSPORT SURVEY METHODS IN THE ERA OF BIG DATA: FACING THE CHALLENGES, ELSEVIER SCIENCE BV,p. 464-473
Series/Report: Transportation Research Procedia
Abstract: This paper describes and evaluates a stated adaptation instrument to investigate the effects of a transition towards electric vehicles on travel behaviour. The respondents were equipped with an "imaginary" electric vehicle with a specific range and were asked whether they wanted to make changes in an activity-travel schedule they had previously registered. It has been found that electric vehicle use may increase car use, and that activities are likely to be cancelled in case of problems with range limitations. In this paper, the validity, reliability and practical implementation of this stated adaptation experiment are discussed. (C) 2018 The Authors. Published by Elsevier Ltd.
Notes: [Langbroek, Joram; Franklin, Joel P.; Susilo, Yusak O.] KTH Royal Inst Technol, Teknikringen 72, S-10044 Stockholm, Sweden. [Langbroek, Joram] Hasselt Univ, Transportat Res Inst, Wetenschapspk 5, B-3500 Diepenbeek, Belgium.
Keywords: stated adaptation; electric vehicles; travel behaviour; survey instrument;stated adaptation; electric vehicles; travel behaviour; survey instrument
Document URI: http://hdl.handle.net/1942/28887
DOI: 10.1016/j.trpro.2018.10.045
ISI #: 000471307900048
Rights: 2018 The Authors. Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)Peer-review under responsibility of the International Steering Committee for Transport Survey Conferences (ISCTSC).10.1016/j.trpro.2018.10.045
Category: C1
Type: Proceedings Paper
Validations: ecoom 2020
Appears in Collections:Research publications

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