Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99078
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZeng, Zen_US
dc.creatorWang, Sen_US
dc.creatorQu, Xen_US
dc.date.accessioned2023-06-14T01:00:09Z-
dc.date.available2023-06-14T01:00:09Z-
dc.identifier.issn2095-8099en_US
dc.identifier.urihttp://hdl.handle.net/10397/99078-
dc.language.isoenen_US
dc.publisherGaodeng Jiaoyu Chubansheen_US
dc.rights© 2022 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zeng, Z., Wang, S., & Qu, X. (2023). Consolidating Bus Charger Deployment and Fleet Management for Public Transit Electrification: A Life-Cycle Cost Analysis Framework. Engineering, 21, 45-60 is available at https://doi.org/10.1016/j.eng.2022.07.019.en_US
dc.subjectElectric busen_US
dc.subjectCharging station deploymenten_US
dc.subjectBattery sizingen_US
dc.subjectBus schedulingen_US
dc.subjectLife-cycle analysisen_US
dc.titleConsolidating bus charger deployment and fleet management for public transit electrification : a life-cycle cost analysis frameworken_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage45en_US
dc.identifier.epage60en_US
dc.identifier.volume21en_US
dc.identifier.doi10.1016/j.eng.2022.07.019en_US
dcterms.abstractDespite rapid advances in urban transit electrification, the progress of systematic planning and management of the electric bus (EB) fleet is falling behind. In this research, the fundamental issues affecting the nascent EB system are first reviewed, including charging station deployment, battery sizing, bus scheduling, and life-cycle analysis. At present, EB systems are planned and operated in a sequential manner, with bus scheduling occurring after the bus fleet and infrastructure have been deployed, resulting in low resource utilization or waste. We propose a mixed-integer programming model to consolidate charging station deployment and bus fleet management with the lowest possible life-cycle costs (LCCs), consisting of ownership, operation, maintenance, and emissions expenses, thereby narrowing the gap between optimal planning and operations. A tailored branch-and-price approach is further introduced to reduce the computational effort required for finding optimal solutions. Analytical results of a real-world case show that, compared with the current bus operational strategies and charging station layout, the LCC of one bus line can be decreased significantly by 30.4%. The proposed research not only performs life-cycle analysis but also provides transport authorities and operators with reliable charger deployment and bus schedules for single- and multi-line services, both of which are critical requirements for decision support in future transit systems with high electrification penetration, helping to accelerate the transition to sustainable mobility.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering, Feb. 2023, v. 21, p. 45-60en_US
dcterms.isPartOfEngineeringen_US
dcterms.issued2023-02-
dc.identifier.scopus2-s2.0-85146589087-
dc.identifier.eissn2096-0026en_US
dc.description.validate202306 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2096-
dc.identifier.SubFormID46565-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextEU Project SMUrT, JPI initiativesen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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