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

Biyi Zhou, Hao Hu and Lei Dai
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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

Sustainability, 2020, vol. 12, issue 1, 1-18

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.

Keywords: time-sharing electric vehicles (TSEVs); subsidy implications; ex-ante assessment; system dynamics; scenario analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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