Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China

The transition from conventional vehicles (CVs) to electric vehicles (EVs) could be promising in tackling environmental challenges in China. Using a sample of 1216 respondents in Beijing, China, our study intends to understand the underlying factors that drive the decision to purchase an EV among po...

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Autores principales:	Ziwen Ling, Christopher R. Cherry, Yi Wen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	electric vehicles electric bikes China vehicle-purchase decision Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b9f89fd9bc41464ea0f18a5b74a4987b
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id	oai:doaj.org-article:b9f89fd9bc41464ea0f18a5b74a4987b
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spelling	oai:doaj.org-article:b9f89fd9bc41464ea0f18a5b74a4987b2021-11-11T19:26:39ZDetermining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China10.3390/su1321117192071-1050https://doaj.org/article/b9f89fd9bc41464ea0f18a5b74a4987b2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11719https://doaj.org/toc/2071-1050The transition from conventional vehicles (CVs) to electric vehicles (EVs) could be promising in tackling environmental challenges in China. Using a sample of 1216 respondents in Beijing, China, our study intends to understand the underlying factors that drive the decision to purchase an EV among potential Chinese vehicle purchasers. We built two choice models to estimate vehicle purchase behavior and fuel choice. We found that males and having higher household income are associated with greater intention to purchase EVs (both plug-in and battery electric vehicles). However, a previous inclination to choose CV negatively impacted willingness to buy EVs. Between specific EV types, we found that Plug-in Hybrid EV (PHEV) purchase was negatively associated with plans to obtain a driver’s license within three years and longer durations of having owned a motorized vehicle first. Yet, the number of electric bicycles in the household was positively associated with PHEV-purchase likelihood. For Battery EVs (BEV), we found that respondents who had previous experience with an EV (either as a driver or passenger) were more likely to purchase a BEV while existing ownership of a driver’s license and a higher purchase budget reduced such possibility. Based on our findings, we recommend authorities continue to, or increasingly, provide direct monetary incentives to purchase EVs, and to provide EV driving and riding experience to customers, especially who are in the middle- and low-income vehicle purchasing groups, to improve the Chinese EV market relative to CVs.Ziwen LingChristopher R. CherryYi WenMDPI AGarticleelectric vehicleselectric bikesChinavehicle-purchase decisionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11719, p 11719 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electric vehicles electric bikes China vehicle-purchase decision Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	electric vehicles electric bikes China vehicle-purchase decision Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ziwen Ling Christopher R. Cherry Yi Wen Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
description	The transition from conventional vehicles (CVs) to electric vehicles (EVs) could be promising in tackling environmental challenges in China. Using a sample of 1216 respondents in Beijing, China, our study intends to understand the underlying factors that drive the decision to purchase an EV among potential Chinese vehicle purchasers. We built two choice models to estimate vehicle purchase behavior and fuel choice. We found that males and having higher household income are associated with greater intention to purchase EVs (both plug-in and battery electric vehicles). However, a previous inclination to choose CV negatively impacted willingness to buy EVs. Between specific EV types, we found that Plug-in Hybrid EV (PHEV) purchase was negatively associated with plans to obtain a driver’s license within three years and longer durations of having owned a motorized vehicle first. Yet, the number of electric bicycles in the household was positively associated with PHEV-purchase likelihood. For Battery EVs (BEV), we found that respondents who had previous experience with an EV (either as a driver or passenger) were more likely to purchase a BEV while existing ownership of a driver’s license and a higher purchase budget reduced such possibility. Based on our findings, we recommend authorities continue to, or increasingly, provide direct monetary incentives to purchase EVs, and to provide EV driving and riding experience to customers, especially who are in the middle- and low-income vehicle purchasing groups, to improve the Chinese EV market relative to CVs.
format	article
author	Ziwen Ling Christopher R. Cherry Yi Wen
author_facet	Ziwen Ling Christopher R. Cherry Yi Wen
author_sort	Ziwen Ling
title	Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
title_short	Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
title_full	Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
title_fullStr	Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
title_full_unstemmed	Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China
title_sort	determining the factors that influence electric vehicle adoption: a stated preference survey study in beijing, china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b9f89fd9bc41464ea0f18a5b74a4987b
work_keys_str_mv	AT ziwenling determiningthefactorsthatinfluenceelectricvehicleadoptionastatedpreferencesurveystudyinbeijingchina AT christopherrcherry determiningthefactorsthatinfluenceelectricvehicleadoptionastatedpreferencesurveystudyinbeijingchina AT yiwen determiningthefactorsthatinfluenceelectricvehicleadoptionastatedpreferencesurveystudyinbeijingchina
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Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China

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