Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89335
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWu, Len_US
dc.creatorWang, Sen_US
dc.date.accessioned2021-03-12T09:36:01Z-
dc.date.available2021-03-12T09:36:01Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/89335-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights©2020 Elsevier Ltd. All rights reserved.en_US
dc.rightsThis is the preprint version of a work that was accepted for publication in Transportation Research Part E: Logistics and Transportation Review. A definitive version was subsequently published in Transportation Research Part E: Logistics and Transportation Review, Volume 135, March 2020, 101883, https://doi.org/10.1016/j.tre.2020.101883en_US
dc.subjectContainer shippingen_US
dc.subjectGreen shippingen_US
dc.subjectPort operationsen_US
dc.subjectShore poweren_US
dc.titleThe shore power deployment problem for maritime transportationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume135en_US
dc.identifier.doi10.1016/j.tre.2020.101883en_US
dcterms.abstractIn this paper, we study a shore power deployment problem in a container shipping network. The aim of the problem is to develop a subsidy program for a government that achieves the utmost reduction of at-berth emissions from ships in the network. We formulate the problem as a mathematical model that captures the involved relationships among the government, container ports, and shipping lines. The model is hard to solve because it involves a multi-phase process that does not have a closed-form solution. To solve the problem, we develop a tailored labeling algorithm. Extensive numerical experiments are conducted, and the results demonstrate the applicability and efficiency of the solution method for solving practical instances. The results also demonstrate that the solutions delivered by our algorithm to the problem can significantly reduce the at-berth emissions from ships in the shipping network.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, Mar. 2020, v. 135, 101883en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2020-03-
dc.identifier.scopus2-s2.0-85079862817-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn101883en_US
dc.description.validate202103 bcvcen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumbera0625-n03-
dc.identifier.SubFormID624-
dc.description.fundingSourceRGCen_US
dc.description.fundingText15201718en_US
dc.description.pubStatusPublisheden_US
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