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Assessment of the Development of Time-Sharing Electric Vehicles in Shanghai and Subsidy Implications: A System Dynamics Approach

Author

Listed:
  • Biyi Zhou

    (School of Naval, Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, NO. 800 Dongchuan Road, Minhang District, Shanghai 200240, China)

  • Hao Hu

    (School of Naval, Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, NO. 800 Dongchuan Road, Minhang District, Shanghai 200240, China)

  • Lei Dai

    (School of Naval, Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, NO. 800 Dongchuan Road, Minhang District, Shanghai 200240, China)

Abstract

CO 2 emissions reduction has long been discussed, since the problem is one of the most urgent issues we human beings are faced with in the 21st century. Time-sharing electric vehicles (TSEVs), combining the benefits of cleaner energy and more sufficient utilization, are considered a sustainable future transportation tool, with increasing support from governments around the world. Although numerous studies have been carried out in this domain, few have studied the development process, considering the inverse interrelations, including the policy implementation effects and user choice, in a dynamic way. This research fills the previous academic gap and presents a system dynamics (SD) model incorporating scenario analysis to simulate the effect of introducing time-sharing electric vehicles in changing the user quantities in transportation tools, including public and private sectors, under different levels of government subsidies, thus providing policy implications and ex-ante assessment for the subsidies. The results suggest that it is not the greater the subsidy, the better the effect. Considering that one of the purposes of introducing TSEVs is to reduce private vehicles, there is a threshold for user transfer. It is actually under low subsidy that private internal combustion engine vehicle (ICV) users are most attracted to the TSEVs compared to the medium and high ones. The gap between the simulation results and common sense reminds us that ex-ante assessment and overall planning in the process of industry development are necessary.

Suggested Citation

  • Biyi Zhou & Hao Hu & Lei Dai, 2020. "Assessment of the Development of Time-Sharing Electric Vehicles in Shanghai and Subsidy Implications: A System Dynamics Approach," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:345-:d:304104
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    References listed on IDEAS

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    1. Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    2. Shaheen, Susan PhD & Cano, Lauren & Camel, Madonna, 2015. "Exploring Electric Vehicle Carsharing As A Mobility Option for Older Adults:A Case Study of A Senior Adult Community in The San Francisco Bay Area," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0cz5s74s, Institute of Transportation Studies, UC Berkeley.
    3. Caulfield, Brian & Farrell, Séona & McMahon, Brian, 2010. "Examining individuals preferences for hybrid electric and alternatively fuelled vehicles," Transport Policy, Elsevier, vol. 17(6), pages 381-387, November.
    4. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    5. George, David K. & Xia, Cathy H., 2011. "Fleet-sizing and service availability for a vehicle rental system via closed queueing networks," European Journal of Operational Research, Elsevier, vol. 211(1), pages 198-207, May.
    6. Dmitri Muravev & Aleksandr Rakhmangulov & Hao Hu & Hengshuo Zhou, 2019. "The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
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    1. Yongli Wang & Shanshan Song & Mingchen Gao & Jingyan Wang & Jinrong Zhu & Zhongfu Tan, 2020. "Accounting for the Life Cycle Cost of Power Grid Projects by Employing a System Dynamics Technique: A Power Reform Perspective," Sustainability, MDPI, vol. 12(8), pages 1-28, April.

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