An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas

Purpose: Frequent sudden-onset disasters which have threatened the survival of human and the development of society force the public to pay an increasing attention to emergency management. A challenging task in the process of emergency management is emergency dispatch of reliefs. An emergency dispat...

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Detalles Bibliográficos
Autores: Sheng, Liu, Wen-Jing, Tan, Guo-Dong, Yu, Fei, Li
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/84889
Acceso en línea:https://hdl.handle.net/2117/84889
Access Level:acceso abierto
Palabra clave:Emergency management
Computer algorithms
Sudden-onset disaster
Urgency of the requirement for reliefs in different disaster areas
Emergency dispatch
Adaptive genetic algorithm
Gestió d'emergències
Algorismes genètics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció
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spelling An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areasSheng, LiuWen-Jing, TanGuo-Dong, YuFei, LiEmergency managementComputer algorithmsSudden-onset disasterUrgency of the requirement for reliefs in different disaster areasEmergency dispatchAdaptive genetic algorithmGestió d'emergènciesAlgorismes genèticsÀrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direccióPurpose: Frequent sudden-onset disasters which have threatened the survival of human and the development of society force the public to pay an increasing attention to emergency management. A challenging task in the process of emergency management is emergency dispatch of reliefs. An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is proposed in this paper to dispatch reliefs reasonably and reduce the effect of sudden-onset disasters. Design/methodology/approach: Firstly, quantitative assessment on the urgency of the requirement for reliefs in different disaster areas is done by an evaluation method based on Fuzzy Comprehensive Evaluation and improved Evidence Reasoning which is proposed in this paper. And then based the quantitative results, an emergency dispatch model aiming to minimize the response time, the distribution cost and the unsatisfied rate of the requirement for reliefs is proposed, which reflects the requests of disaster areas under emergency, including the urgency of requirement, the economy of distribution and the equity of allocation. Finally, the Genetic Algorithm is improved based on the adaptive crossover and mutation probability function to solve the emergency dispatch model. Findings: A case that the Y hydraulic power enterprise carries on emergency dispatch of reliefs under continuous sudden-onset heavy rain is given to illustrate the availability of the emergency dispatch model proposed in this paper. The results show that the emergency dispatch model meets the distribution priority requirement of disaster area with the higher urgency, so that reliefs are supplied more timely. Research limitations/implications: The emergency dispatch model faced to large scale sudden-onset disasters is complex. The quantity of reliefs that disaster area requires and the running time of vehicles are viewed as available information, and the problem that how to obtain the information is not considered. Practical implications: The emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is applicable to a realistic emergency dispatch of reliefs under sudden-onset disasters and the research results is the foundation of further research on the problem of emergency management. Originality/value: This paper proposes emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas which can meet the realistic requirement that the disaster area with the higher urgency has an priority to obtain the reliefs and make reliefs be distributed timely.Peer ReviewedOmniaScience20152015-12-0120162016-03-30journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/84889reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 3.0 Unportedhttp://creativecommons.org/licenses/by-nc/3.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/848892026-05-27T15:37:01Z
dc.title.none.fl_str_mv An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
title An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
spellingShingle An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
Sheng, Liu
Emergency management
Computer algorithms
Sudden-onset disaster
Urgency of the requirement for reliefs in different disaster areas
Emergency dispatch
Adaptive genetic algorithm
Gestió d'emergències
Algorismes genètics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció
title_short An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
title_full An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
title_fullStr An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
title_full_unstemmed An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
title_sort An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
dc.creator.none.fl_str_mv Sheng, Liu
Wen-Jing, Tan
Guo-Dong, Yu
Fei, Li
author Sheng, Liu
author_facet Sheng, Liu
Wen-Jing, Tan
Guo-Dong, Yu
Fei, Li
author_role author
author2 Wen-Jing, Tan
Guo-Dong, Yu
Fei, Li
author2_role author
author
author
dc.subject.none.fl_str_mv Emergency management
Computer algorithms
Sudden-onset disaster
Urgency of the requirement for reliefs in different disaster areas
Emergency dispatch
Adaptive genetic algorithm
Gestió d'emergències
Algorismes genètics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció
topic Emergency management
Computer algorithms
Sudden-onset disaster
Urgency of the requirement for reliefs in different disaster areas
Emergency dispatch
Adaptive genetic algorithm
Gestió d'emergències
Algorismes genètics
Àrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció
description Purpose: Frequent sudden-onset disasters which have threatened the survival of human and the development of society force the public to pay an increasing attention to emergency management. A challenging task in the process of emergency management is emergency dispatch of reliefs. An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is proposed in this paper to dispatch reliefs reasonably and reduce the effect of sudden-onset disasters. Design/methodology/approach: Firstly, quantitative assessment on the urgency of the requirement for reliefs in different disaster areas is done by an evaluation method based on Fuzzy Comprehensive Evaluation and improved Evidence Reasoning which is proposed in this paper. And then based the quantitative results, an emergency dispatch model aiming to minimize the response time, the distribution cost and the unsatisfied rate of the requirement for reliefs is proposed, which reflects the requests of disaster areas under emergency, including the urgency of requirement, the economy of distribution and the equity of allocation. Finally, the Genetic Algorithm is improved based on the adaptive crossover and mutation probability function to solve the emergency dispatch model. Findings: A case that the Y hydraulic power enterprise carries on emergency dispatch of reliefs under continuous sudden-onset heavy rain is given to illustrate the availability of the emergency dispatch model proposed in this paper. The results show that the emergency dispatch model meets the distribution priority requirement of disaster area with the higher urgency, so that reliefs are supplied more timely. Research limitations/implications: The emergency dispatch model faced to large scale sudden-onset disasters is complex. The quantity of reliefs that disaster area requires and the running time of vehicles are viewed as available information, and the problem that how to obtain the information is not considered. Practical implications: The emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is applicable to a realistic emergency dispatch of reliefs under sudden-onset disasters and the research results is the foundation of further research on the problem of emergency management. Originality/value: This paper proposes emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas which can meet the realistic requirement that the disaster area with the higher urgency has an priority to obtain the reliefs and make reliefs be distributed timely.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-12-01
2016
2016-03-30
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/84889
url https://hdl.handle.net/2117/84889
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Unported
http://creativecommons.org/licenses/by-nc/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Unported
http://creativecommons.org/licenses/by-nc/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv OmniaScience
publisher.none.fl_str_mv OmniaScience
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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