The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing

Zhuge, Chengxiang, Wei, Binru, Shao, Chunfu, Shan, Yuli and Dong, Chunjiao (2020) The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing. Energy Policy, 139. ISSN 0301-4215

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Abstract

Policy is an influential factor to the purchase and usage of Electric Vehicles (EVs). This paper is focused on the license plate lottery policy, a typical vehicle purchase restriction in Beijing, China. An agent-based spatial integrated urban model, SelfSim-EV, is employed to investigate how the policy may influence the uptake of EVs over time at the individual level. Two types of “what-if” scenario were set up to explore how the methods to allocate the vehicle purchase permits and the number of permits might influence the EV market expansion from 2016 to 2020. The results suggested that 1) both the allocation methods and the number of purchase permits could heavily influence the uptake of EVs and further its impacts on vehicular emissions, energy consumption and urban infrastructures; 2) compared to the baseline, both scenarios got significantly different spatial distributions of vehicle owners, transport facilities, vehicular emissions and charging demand at the multiple resolutions; 3) SelfSim-EV was found as a useful tool to quantify the nonlinear relationships between the increase of EV purchasers and the demand for transport facilities and electricity, and also to capture some unexpected results coming out from the interactions in the complex dynamic urban system.

Item Type: Article
Uncontrolled Keywords: sdg 7 - affordable and clean energy ,/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy
Faculty \ School: Faculty of Science > School of Environmental Sciences
Faculty of Social Sciences > School of Global Development (formerly School of International Development)
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Depositing User: LivePure Connector
Date Deposited: 26 Feb 2020 08:13
Last Modified: 22 Oct 2022 05:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/74314
DOI: 10.1016/j.enpol.2020.111328

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