Influence Factors of Purchase Intention of Pure Electric Vehicle

DOI

10.2991/assehr.k.201202.100How to use a DOI?

Keywords

Purchase intention of pure electric vehicles, Discrete choice model, Car purchase restriction, Individual characteristics of travelers, Environment awareness

Abstract

In order to reduce automobile exhaust pollution, government departments should formulate transportation policies to promote the popularization of pure electric vehicles, and effective transportation policies require a thorough understanding of the factors that influencing the purchase intention of pure electric vehicles. Based on travelers’ environment behavior and environment attitude, travelers’ environmental awareness is obtained through the Raschmodel. Then bring environmental awareness into the logit discrete selection model, and analyze the impact of three factors of travelers’ environmental awareness, vehicle purchase restriction policies, and individual characteristics of travelers on their willingness to purchase pure electric vehicles. The result shows that the environmental awareness of travelers has a significant and positive impact on the purchase intention of pure electric vehicles; the vehicle purchasing restriction policy of oil-fueled automotive and the construction of charging pile and other infrastructure can increase travelers’ purchase intention of pure electric vehicles.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoliang Zhang
AU  - Bing Zhang
AU  - Lei Chen
AU  - Jianrong Liu
AU  - Zhishan Zhong
PY  - 2020
DA  - 2020/12/03
TI  - Influence Factors of Purchase Intention of Pure Electric Vehicle
BT  - Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020)
PB  - Atlantis Press
SP  - 75
EP  - 81
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201202.100
DO  - 10.2991/assehr.k.201202.100
ID  - Zhang2020
ER  -