Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106628
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Instituteen_US
dc.contributorResearch Institute for Sustainable Urban Developmenten_US
dc.creatorPeng, Zen_US
dc.creatorWang, MWHen_US
dc.creatorYang, Xen_US
dc.creatorChen, Aen_US
dc.creatorZhuge, Cen_US
dc.date.accessioned2024-05-20T08:40:48Z-
dc.date.available2024-05-20T08:40:48Z-
dc.identifier.issn1361-9209en_US
dc.identifier.urihttp://hdl.handle.net/10397/106628-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectAnalytical frameworken_US
dc.subjectCharging infrastructureen_US
dc.subjectElectric vehicleen_US
dc.subjectSpatial analysisen_US
dc.subjectTransport equityen_US
dc.titleAn analytical framework for assessing equitable access to public electric vehicle chargersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume126en_US
dc.identifier.doi10.1016/j.trd.2023.103990en_US
dcterms.abstractInequitable 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.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part D, Transport and environment, Jan. 2024, v. 126, 103990en_US
dcterms.isPartOfTransportation research. Part D, Transport and environmenten_US
dcterms.issued2024-01-
dc.identifier.scopus2-s2.0-85178561090-
dc.identifier.eissn1879-2340en_US
dc.identifier.artn103990en_US
dc.description.validate202405 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera2710c-
dc.identifier.SubFormID48108-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational 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 Developmenten_US
dc.description.fundingTextthe Smart Cities Research Instituteen_US
dc.description.fundingTextProject of Strategic Importanceen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-01-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-01-31
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