Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106628
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.contributor | Department of Civil and Environmental Engineering | en_US |
dc.contributor | Otto Poon Charitable Foundation Smart Cities Research Institute | en_US |
dc.contributor | Research Institute for Sustainable Urban Development | en_US |
dc.creator | Peng, Z | en_US |
dc.creator | Wang, MWH | en_US |
dc.creator | Yang, X | en_US |
dc.creator | Chen, A | en_US |
dc.creator | Zhuge, C | en_US |
dc.date.accessioned | 2024-05-20T08:40:48Z | - |
dc.date.available | 2024-05-20T08:40:48Z | - |
dc.identifier.issn | 1361-9209 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106628 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Analytical framework | en_US |
dc.subject | Charging infrastructure | en_US |
dc.subject | Electric vehicle | en_US |
dc.subject | Spatial analysis | en_US |
dc.subject | Transport equity | en_US |
dc.title | An analytical framework for assessing equitable access to public electric vehicle chargers | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 126 | en_US |
dc.identifier.doi | 10.1016/j.trd.2023.103990 | en_US |
dcterms.abstract | Inequitable distribution of public electric vehicle (EV) charging facilities may result in disparities in charging accessibility, potentially impeding the uptake of EVs. In response, this paper proposes an analytical framework to assess the accessibility-based equity of public EV charging infrastructure systematically, using Hong Kong (HK) as the study area. The results demonstrated severe spatial inequity of charging facilities in central, north, and southwest HK. Meanwhile, the Gini index of all public EV charger types for the total population was 0.751, and the indices for low-income, low-education level, and government-funded housing subgroups were 0.791, 0.809, and 0.893, respectively. These indicated considerable horizontal and vertical inequity from a statistical perspective. Furthermore, age, education level, family structure, and housing type were identified as significant socio-demographic characteristics correlated to the accessibility-based equity of public EV charging infrastructure in HK. These findings are expected to be useful for future policymaking and infrastructure planning. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Transportation research. Part D, Transport and environment, Jan. 2024, v. 126, 103990 | en_US |
dcterms.isPartOf | Transportation research. Part D, Transport and environment | en_US |
dcterms.issued | 2024-01 | - |
dc.identifier.scopus | 2-s2.0-85178561090 | - |
dc.identifier.eissn | 1879-2340 | en_US |
dc.identifier.artn | 103990 | en_US |
dc.description.validate | 202405 bcch | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a2710c | - |
dc.identifier.SubFormID | 48108 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; the Public Policy Research Funding Scheme of The Government of the Hong Kong Special Administrative Region; the Research Institute for Sustainable Urban Development | en_US |
dc.description.fundingText | the Smart Cities Research Institute | en_US |
dc.description.fundingText | Project of Strategic Importance | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2026-01-31 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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