Determining the travel intention of residents with shared electric vehicles (EVs) is significant for
promoting the development of low-carbon transportation, considering that common problems such as high idle
rate and lack of attractiveness still exist. To this end, a structural equation model (SEM) based on the theory of
multiple motivations is proposed in this paper. First, the influencing motivations for EV sharing are divided into
three categories: consumer-driven, program-driven, and enterprise-driven motivations. Then, the intentions of
residents in Shanghai to travel with shared EVs are obtained through a survey questionnaire. Finally, an SEM is
constructed to analyze quantitatively the impact of different motivations on the travel intention. The results show
that consumer-driven motivations with impact weights from 0.14 to 0.63 have the overwhelming impact on travel
intention, compared to program-driven motivations with impact weights from ?0.14 to 0.15 and enterprise-driven
motivations with impact weights from 0.02 to 0.06. In terms of consumer-driven motivations, the weight of green
travel awareness is the highest. The implications of these results on the policy to enable large-scale implementation
of shared EVs are discussed from the perspectives of the resident, enterprise, and government.
BAO Lewen (鲍乐雯), MIAO Rui, ∗ (苗 瑞), CHEN Zhihua (陈志华), ZHANG Bo (张 博), GUO Peng (郭 鹏), MA Yuze (马宇泽)
. Travel Intention of Electric Vehicle Sharing based on Theory of Multiple Motivations[J]. Journal of Shanghai Jiaotong University(Science), 2023
, 28(1)
: 1
-9
.
DOI: 10.1007/s12204-023-2563-5
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