Assessment of the Development of Time-Sharing Electric Vehicles in Shanghai and Subsidy Implications: A System Dynamics Approach
Open Access
- 1 January 2020
- journal article
- research article
- Published by MDPI AG in Sustainability
- Vol. 12 (1), 345
- https://doi.org/10.3390/su12010345
Abstract
CO2 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.This publication has 23 references indexed in Scilit:
- A dynamic model of electric vehicle adoption: The role of social commerce in new transportationInformation & Management, 2019
- Does car sharing help reduce the total number of vehicles?Soft Computing, 2019
- Who wants shared mobility? Lessons from early adopters and mainstream drivers on electric carsharing in GermanyTransportation Research Part D: Transport and Environment, 2018
- User decision-making and technology choices in the U.S. carsharing marketTransport Policy, 2016
- Research on Consumers’ Use Willingness and Opinions of Electric Vehicle Sharing: An Empirical Study in ShanghaiSustainability, 2015
- Factors affecting carbon dioxide (CO2) emissions in China's transport sector: a dynamic nonparametric additive regression modelJournal of Cleaner Production, 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 AreaInternational Journal of Sustainable Transportation, 2015
- The relocation problem for the one‐way electric vehicle sharingNetworks, 2014
- Energy, Environmental and Mobility Impacts of Car-sharing Systems. Empirical Results from Lisbon, PortugalProcedia - Social and Behavioral Sciences, 2014
- “How green are electric vehicles?”International Journal of Hydrogen Energy, 2012