Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/87860
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Zhuge, CX | - |
dc.creator | Wei, BR | - |
dc.creator | Shao, CF | - |
dc.creator | Shan, YL | - |
dc.creator | Dong, CJ | - |
dc.date.accessioned | 2020-08-19T06:27:50Z | - |
dc.date.available | 2020-08-19T06:27:50Z | - |
dc.identifier.issn | 0301-4215 | - |
dc.identifier.uri | http://hdl.handle.net/10397/87860 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Zhuge, C. X. , Wei, B. R. , Shao, C. F. , Shan, Y. L. , & Dong, C. J. (2020). The role of the license plate lottery policy in the adoption of electric vehicles: a case study of beijing. Energy Policy, 139, 111328, 1-18 is available at https://dx.doi.org/10.1016/j.enpol.2020.111328 | en_US |
dc.subject | License plate lottery policy | en_US |
dc.subject | Electric vehicle | en_US |
dc.subject | Market penetration | en_US |
dc.subject | Agent-based modelling | en_US |
dc.subject | Spatial analysis | en_US |
dc.subject | SelfSim | en_US |
dc.title | The role of the license plate lottery policy in the adoption of electric vehicles : a case study of beijing | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 18 | - |
dc.identifier.volume | 139 | - |
dc.identifier.doi | 10.1016/j.enpol.2020.111328 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Energy policy, Apr. 2020, v. 139, 111328, p. 1-18 | - |
dcterms.isPartOf | Energy policy | - |
dcterms.issued | 2020-04 | - |
dc.identifier.isi | WOS:000528255000036 | - |
dc.identifier.scopus | 2-s2.0-85079240943 | - |
dc.identifier.artn | 111328 | - |
dc.description.validate | 202008 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Zhuge_License_Plate_Lottery.pdf | 5.5 MB | Adobe PDF | View/Open |
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