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DOI | 10.1016/j.enpol.2020.111328 |
The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing | |
Zhuge C.; Wei B.; Shao C.; Shan Y.; Dong C. | |
发表日期 | 2020 |
ISSN | 0301-4215 |
卷号 | 139 |
英文摘要 | 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. © 2020 The Authors |
英文关键词 | Agent-based modelling; Electric vehicle; License plate lottery policy; Market penetration; SelfSim; Spatial analysis |
学科领域 | Autonomous agents; Commerce; Computational methods; Electric vehicles; Energy utilization; License plates (automobile); Sales; Urban transportation; Agent-based modelling; Electric Vehicles (EVs); Integrated urban models; Market penetration; Non-linear relationships; SelfSim; Spatial analysis; Urban infrastructure; Vehicle to infrastructure; adoption behavior; consumption behavior; electric vehicle; energy use; spatial analysis; urban area; urban planning; urban transport; Beijing [Beijing (ADS)]; Beijing [China]; China |
语种 | 英语 |
scopus关键词 | Autonomous agents; Commerce; Computational methods; Electric vehicles; Energy utilization; License plates (automobile); Sales; Urban transportation; Agent-based modelling; Electric Vehicles (EVs); Integrated urban models; Market penetration; Non-linear relationships; SelfSim; Spatial analysis; Urban infrastructure; Vehicle to infrastructure; adoption behavior; consumption behavior; electric vehicle; energy use; spatial analysis; urban area; urban planning; urban transport; Beijing [Beijing (ADS)]; Beijing [China]; China |
来源期刊 | Energy Policy
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/118057 |
作者单位 | Department of Geography, University of Cambridge, Downing Place, Cambridge, CB2 3EN, United Kingdom; Tyndall Centre for Climate Change Research, School of Environmental Science, University of East Anglia, Norwich, NR1 7TJ, United Kingdom; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge, CB3 9EP, United Kingdom; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing, 100044, China; Energy and Sustainability Research Institute Groningen, University of Groningen, Groningen, AG 9747, Netherlands |
推荐引用方式 GB/T 7714 | Zhuge C.,Wei B.,Shao C.,et al. The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing[J],2020,139. |
APA | Zhuge C.,Wei B.,Shao C.,Shan Y.,&Dong C..(2020).The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing.Energy Policy,139. |
MLA | Zhuge C.,et al."The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing".Energy Policy 139(2020). |
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