Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118490
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorMainland Development Officeen_US
dc.contributorResearch Institute for Sustainable Urban Developmenten_US
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Instituteen_US
dc.creatorTeng, Den_US
dc.creatorTang, JHCGen_US
dc.creatorMa, Ren_US
dc.creatorYang, Xen_US
dc.creatorZhuge, Cen_US
dc.date.accessioned2026-04-20T02:46:57Z-
dc.date.available2026-04-20T02:46:57Z-
dc.identifier.issn2210-6707en_US
dc.identifier.urihttp://hdl.handle.net/10397/118490-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCharging stationen_US
dc.subjectElectric vehicleen_US
dc.subjectMetro stationen_US
dc.subjectPark-charge-ride (PCR) serviceen_US
dc.subjectParking lotsen_US
dc.titleA global insight into integration of metro and electric vehicle charging stationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume139en_US
dc.identifier.doi10.1016/j.scs.2026.107217en_US
dcterms.abstractThis study investigates the potential of park-charge-ride (PCR) worldwide in the era of transportation electrification, covering 153 urban study units across the United States, Europe and China. This research uses a set of spatial analysis methods to profile the proximity, density, and clustering patterns of electric vehicle charging stations (EVCS) and parking lots relative to metro stations. The results reveal several substantial regional disparities. The United States demonstrates strong yet uneven PCR implementation with remarkable EVCS aggregation; Europe reaches balanced improvement of PCR services; and China, though possessing the greater metro infrastructure, demonstrates limited EVCS integration metro stations nearby. Intriguingly, the study found no significant policy-driven prioritization of PCR deployment by several types of metro stations (i.e., normal, interchange, terminal). These findings stress the necessity for spatial planning to optimize the coverage of PCR, foster multimodal transport efficiency, and advance sustainable mobility objectives worldwide.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationSustainable cities and society, 15 Mar. 2026, v. 139, 107217en_US
dcterms.isPartOfSustainable cities and societyen_US
dcterms.issued2026-03-15-
dc.identifier.scopus2-s2.0-105029727331-
dc.identifier.eissn2210-6715en_US
dc.identifier.artn107217en_US
dc.description.validate202604 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001495/2026-04-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe thank the Shenzhen Park of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone and this research has been supported by the \u201CTheories for Spatiotemporal Intelligence and Reliable Data Analysis\u201D (Project ID: HZQSWS-KCCYB-2024058), the National Natural Science Foundation of China (Grant No.: 52002345), the Shenzhen Municipal Science and Technology Innovation Commission (Grant No.: JCYJ20230807140401003), the Research Grants from the Smart Cities Research Institute (Grant No.: CDAR and CDA9) and Research Institute for Sustainable Urban Development (Grant No.: BBWR) at the Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-03-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-03-15
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