Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90658
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWu, Yen_US
dc.creatorWang, Sen_US
dc.creatorChen, Yen_US
dc.creatorChang, Den_US
dc.date.accessioned2021-08-13T06:13:36Z-
dc.date.available2021-08-13T06:13:36Z-
dc.identifier.issn0217-5959en_US
dc.identifier.urihttp://hdl.handle.net/10397/90658-
dc.language.isoenen_US
dc.publisherWorld Scientificen_US
dc.rightsElectronic version of an article published as Asia-Pacific Journal of Operational Research, Volume 38, Issue 3, 2021, 2140022, DOI: 10.1142/S0217595921400224, © World Scientific Publishing Co. & Operational Research Society of Singapore https://www.worldscientific.com/worldscinet/apjoren_US
dc.subjectEvolutionary game theoryen_US
dc.subjectGreen shippingen_US
dc.subjectLNGen_US
dc.subjectPricing decisionen_US
dc.titleEvaluation of liquefied natural gas as a ship fuel for liner shipping using evolutionary game theoryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume38en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1142/S0217595921400224en_US
dcterms.abstractStrict limits on air emissions released by burning fuel of ships have recently been imposed in Emission Control Areas. Retrofitting ships to use Liquefied Natural Gas (LNG) as a ship fuel is one of the methods for liner companies to comply with global regulations. Since the LNG retrofitting investment is expensive, it is likely that liner companies need a more scientific methodology to evaluate the LNG for propulsion of ships. Liner companies are particularly interested in their profits determined by the pricing decision. Based on the evolutionary game theory, this paper develops a mathematical model for the pricing problem with the consideration of market competition, LNG investment, and price elasticity. We also consider several realistic factors, such as the demand sensitivity for LNG effort, to make the proposed methodology meet the realistic demands when more and more liner companies need a revolutionary transformation because of the stricter regulations. Numerical experiments, including a simulated-data case, are performed to validate the proposed methodology. Some managerial insights are concluded according to the computational experiments and sensitivity analysis.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAsia-Pacific journal of operational research, June 2021, v. 38, no. 3, 2140022en_US
dcterms.isPartOfAsia-Pacific journal of operational researchen_US
dcterms.issued2021-06-
dc.identifier.scopus2-s2.0-85107756206-
dc.identifier.eissn1793-7019en_US
dc.identifier.artn2140022en_US
dc.description.validate202108 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1003-n06-
dc.identifier.SubFormID2388-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
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