Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94671
DC FieldValueLanguage
dc.contributorMainland Development Officeen_US
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, Wen_US
dc.creatorWu, Sen_US
dc.creatorWang, Sen_US
dc.creatorZhen, Len_US
dc.creatorQu, Xen_US
dc.date.accessioned2022-08-26T01:52:31Z-
dc.date.available2022-08-26T01:52:31Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/94671-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectEmergency facility locationen_US
dc.subjectEmergency serviceen_US
dc.subjectCovering problemen_US
dc.subjectMathematical modelingen_US
dc.titleEmergency facility location problems in logistics : status and perspectivesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume154en_US
dc.identifier.doi10.1016/j.tre.2021.102465en_US
dcterms.abstractEmergencies that pose potential threats to our health, life, and properties can happen anywhere and anytime and may result in huge losses if they are not handled timely and effectively. An immediate response to emergencies is the key to mitigate these threats and losses. As the response time is largely dependent on the number and location of emergency facilities, the problem of how to determine the optimal number of emergency facilities and their best locations is of great strategic importance and of great interest to researchers. One of the most common approaches for researchers to address the emergency facility location problem is to model it as a discrete coverage-based emergency facility location problem. This paper provides a comprehensive overview of this problem, including mathematical models and their extensions and applications. In addition, the commonly used solution methods and some promising future research questions based on covering models are discussed.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, Oct. 2021, v. 154, 102465en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2021-10-
dc.identifier.isiWOS:000702912200010-
dc.identifier.scopus2-s2.0-85114167907-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn102465en_US
dc.description.validate202208 bckwen_US
dc.identifier.FolderNumbera1613-
dc.identifier.SubFormID45616-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2024-10-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2024-10-30
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