Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89335
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Wu, L | en_US |
dc.creator | Wang, S | en_US |
dc.date.accessioned | 2021-03-12T09:36:01Z | - |
dc.date.available | 2021-03-12T09:36:01Z | - |
dc.identifier.issn | 1366-5545 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/89335 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | ©2020 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | This 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.2020.101883 | en_US |
dc.subject | Container shipping | en_US |
dc.subject | Green shipping | en_US |
dc.subject | Port operations | en_US |
dc.subject | Shore power | en_US |
dc.title | The shore power deployment problem for maritime transportation | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 135 | en_US |
dc.identifier.doi | 10.1016/j.tre.2020.101883 | en_US |
dcterms.abstract | In 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Transportation research. Part E, Logistics and transportation review, Mar. 2020, v. 135, 101883 | en_US |
dcterms.isPartOf | Transportation research. Part E, Logistics and transportation review | en_US |
dcterms.issued | 2020-03 | - |
dc.identifier.scopus | 2-s2.0-85079862817 | - |
dc.identifier.eissn | 1878-5794 | en_US |
dc.identifier.artn | 101883 | en_US |
dc.description.validate | 202103 bcvc | en_US |
dc.description.oa | Author’s Original | en_US |
dc.identifier.FolderNumber | a0625-n03 | - |
dc.identifier.SubFormID | 624 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | 15201718 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0625-n03_The Shore Power Deployment Problem for Maritime Transportation.pdf | Preprint version | 991.22 kB | Adobe PDF | View/Open |
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