J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (1): 1-9.doi: 10.1007/s12204-023-2563-5

• Intelligent Transportation Systems •     Next Articles

Travel Intention of Electric Vehicle Sharing based on Theory of Multiple Motivations


BAO Lewen1 (鲍乐雯), MIAO Rui1,2,3∗ (苗 瑞), CHEN Zhihua1(陈志华), ZHANG Bo1 (张 博), GUO Peng1 (郭 鹏), MA Yuze1(马宇泽)   

  1. (1. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China)
  2. (1.上海交通大学 船舶海洋与建筑工程学院,上海 200240;2. 上海交通大学 海洋工程国家重点实验室,上海 200240;3. 上海交通大学 中国城市治理研究院,上海 200030)
  • Received:2022-05-12 Online:2023-01-28 Published:2023-02-10

Abstract: 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.

Key words: multiple motivations theory, shared electric vehicles (EVs), travel intention, structural equation model (SEM), urban governance

摘要: 分析城市居民对共享电动汽车的使用意愿对于促进城市交通低碳发展意义重大。考虑到目前共享电动汽车仍存在空闲率高、吸引力不足等问题,本研究提出了一种基于多元动机理论的结构方程模型。首先利用多元动机理论将影响消费者是否选择共享出行方式归为消费者驱动动机、方案驱动动机以及企业驱动动机三类,并对各变量的影响因素进行了细分;随后通过调查问卷得到上海市居民对电动汽车共享出行的意愿数据;最后构建结构方程模型定量化分析了各变量对于出行意愿的影响。研究结果表明:消费者驱动动机(影响权重范围为0.14~0.63)对于共享电动汽车出行意愿的影响最大,远大于方案驱动动机(-0.14~0.15)和企业驱动动机(0.02~0.06)的影响,其中在消费者驱动变量中,绿色出行意识影响最大。基于以上分析,本文分别从消费者、企业及政府层面提出了具体的相关政策建议。

关键词: 多元动机理论,共享电动汽车,出行意愿,结构方程模型,城市治理

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