Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China

Version 1 : Received: 23 February 2017 / Approved: 23 February 2017 / Online: 23 February 2017 (18:15:47 CET)
Version 2 : Received: 24 February 2017 / Approved: 26 February 2017 / Online: 26 February 2017 (10:33:14 CET)

How to cite: Wang, F.; Yu, J.; Yang, P.; Miao, L.; Ye, B. Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China. Preprints 2017, 2017020089. https://doi.org/10.20944/preprints201702.0089.v1 Wang, F.; Yu, J.; Yang, P.; Miao, L.; Ye, B. Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China. Preprints 2017, 2017020089. https://doi.org/10.20944/preprints201702.0089.v1

Abstract

China planned to promote the large scale adoption of Electric Vehicles (EVs) in the thirteenth five year plans, however, this target faces numerous obstacles. This paper was trying to analyze the main barriers to wide spread adoption of EVs through a survey in Shenzhen, which has the largest EVs market share in China major cities. On the basis of previous scholarly findings,a new survey was conducted and 406 approved questionnaires were collected among 500 participants. Five hypotheses were established that examine four types of barriers to spread adoption of EVs:Preference, willingness and attitudes, public policy and financial incentives, innovation awareness and concerns of EVs technology, the analysis conducted by statistic methods(two-way frequency contingency tables, primary components and factor analysis )and the results provide the limited support for the hypotheses. Furthermore, some results positively supported the hypotheses and showed differences with previous scholarly findings, however,the findings of the study may not be a stagnant phenomenon, and more variables should be explored to accurately evaluate EVs penetration situations in China

Keywords

No keywords defined for manuscript.

Subject

Engineering, Transportation Science and Technology

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