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Modeling Acceptance of Electric Vehicle Sharing Based on Theory of Planned Behavior

Author

Listed:
  • Kai Zhang

    (School of Law and Economic, China University of Political Science and Law, Beijing 100088, China)

  • Hongwei Guo

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Guangzheng Yao

    (College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

  • Chenggang Li

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Yujie Zhang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Wuhong Wang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract

The electric vehicle (EV) is a kind of innovation helping to address the issue of climate change and conventional energy consumption, compared to internal combustion engine vehicles. Electric vehicle sharing is a new way to promote the market penetration of electric vehicles due to its convenience and economy. Aiming to provide a more profound understanding of the influential factors in the acceptance of electric vehicle sharing, a structural equation model is proposed based on the theory of planned behavior as the policy environment has been added as prepositive variable. The data about the travelers’ perspective of electric vehicle sharing are acquired from questionnaires in Beijing. The results indicate that the perceived behavioral control is the primary factor with positive contributions to EV-sharing acceptance. Subjective norm, ranking second, is also proven to exert a significant positive effect on EV-sharing acceptance. The results also reveal the insignificant relationship between the attitude towards behavior and sharing acceptance, which is consistent with relevant research. Moreover, the significant positive effects of policy support on attitude and subjective norm are demonstrated. Finally, strategies to promote electric vehicle sharing are proposed, including providing more accessible resources (charging facility, service station), improving social pressure (free trial, sharing atmosphere), and strengthening policy support (financial support, legal guarantee). This study can give a better understanding of the acceptance of EV sharing and the strategy to promoting EV sharing in urban traffic.

Suggested Citation

  • Kai Zhang & Hongwei Guo & Guangzheng Yao & Chenggang Li & Yujie Zhang & Wuhong Wang, 2018. "Modeling Acceptance of Electric Vehicle Sharing Based on Theory of Planned Behavior," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4686-:d:189250
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    References listed on IDEAS

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    Cited by:

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    2. Hu, Jia-Wei & Javaid, Aneeque & Creutzig, Felix, 2021. "Leverage points for accelerating adoption of shared electric cars: Perceived benefits and environmental impact of NEVs," Energy Policy, Elsevier, vol. 155(C).
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    4. Sahoo, Debajani & Harichandan, Sidhartha & Kar, Sanjay Kumar & S, Sreejesh, 2022. "An empirical study on consumer motives and attitude towards adoption of electric vehicles in India: Policy implications for stakeholders," Energy Policy, Elsevier, vol. 165(C).
    5. Jaeyoung Lee & Farrukh Baig & Mir Aftab Hussain Talpur & Sajan Shaikh, 2021. "Public Intentions to Purchase Electric Vehicles in Pakistan," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    6. Vats, Ishan & Singhal, Deepak & Tripathy, Sushanta & Jena, Sarat Kumar, 2022. "The transition from BS4 to BS6 compliant vehicles for eco-friendly mobility in India: An empirical study on switching intention," Research in Transportation Economics, Elsevier, vol. 91(C).
    7. Julia Morgan & Casey Canfield, 2021. "Comparing Behavioral Theories to Predict Consumer Interest to Participate in Energy Sharing," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    8. Ruiwei Li & Gobi Krishna Sinniah & Xiangyu Li, 2022. "The Factors Influencing Resident’s Intentions on E-Bike Sharing Usage in China," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    9. Jesús García & Rosa Arroyo & Lidón Mars & Tomás Ruiz, 2019. "The Influence of Attitudes towards Cycling and Walking on Travel Intentions and Actual Behavior," Sustainability, MDPI, vol. 11(9), pages 1-17, May.

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