Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117959
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.contributorResearch Institute for Sustainable Urban Developmenten_US
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Instituteen_US
dc.contributorMainland Development Officeen_US
dc.creatorTian, Zen_US
dc.creatorLiu, Jen_US
dc.creatorWang, Sen_US
dc.creatorYang, Xen_US
dc.creatorPeng, Zen_US
dc.creatorChen, Aen_US
dc.creatorZhuge, Cen_US
dc.date.accessioned2026-03-09T06:57:11Z-
dc.date.available2026-03-09T06:57:11Z-
dc.identifier.issn1361-9209en_US
dc.identifier.urihttp://hdl.handle.net/10397/117959-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectBattery electric busen_US
dc.subjectEnvironmental impactsen_US
dc.subjectRoad gradienten_US
dc.subjectScenario analysisen_US
dc.subjectSimulation-based optimizationen_US
dc.titleElectrification of a bus system in a hilly city considering gradient impactsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume153en_US
dc.identifier.doi10.1016/j.trd.2026.105223en_US
dcterms.abstractElectrifying a bus system in hilly cities is challenging, as the road gradient plays a significant role in vehicular energy consumption, influencing the configuration of bus fleet and the layout of charging facilities. In response, this study developed a data-driven large-scale simulation optimization model that explicitly considers the impact of road gradients, aiming to determine the optimal electric bus fleet and charging infrastructure deployment, with Hong Kong (a typical hilly city) as the study area. Results indicated that neglecting gradient characteristics would underestimate the system cost and life-cycle emissions. Meanwhile, when accounting for gradient impacts, the required number of charging stations and fleet size increased by 27% and 3%, respectively. Moreover, the spatial distribution of charging stations could be greatly influenced. Further scenario analysis indicated that charging speed and infrastructure costs are influential in shaping bus electrification strategies. The outcomes can be helpful for bus electrification in hilly cities.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part D, Transport and environment, Apr. 2026, v. 153, 105223en_US
dcterms.isPartOfTransportation research. Part D, Transport and environmenten_US
dcterms.issued2026-
dc.identifier.scopus2-s2.0-105027626854-
dc.identifier.eissn1879-2340en_US
dc.identifier.artn105223en_US
dc.description.validate202603 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001111/2026-02-
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 “Theories for Spatiotemporal Intelligence and Reliable Data Analysis” (Project ID: HZQSWS-KCCYB-2024058), the National Natural Science Foundation of China (52002345), the Shenzhen Municipal Science and Technology Innovation Commission (Project ID: JCYJ20230807140401003), the Public Policy Research Funding Scheme of The Government of the Hong Kong Special Administrative Region (Project Number: 2023.A6.232.23B), the research grants from the Research Institute for Sustainable Urban Development (1-BBG1 and 1-BBWR), the Smart Cities Research Institute (CDAR and CDA9), and the funding for Project of Strategic Importance provided by The Hong Kong Polytechnic University (1-ZE0A).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-04-30
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