Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance

Detalhes bibliográficos
Autor(a) principal: Nelas, José
Data de Publicação: 2021
Outros Autores: Dias, Joana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/101181
https://doi.org/10.1016/j.orp.2021.100202
Resumo: The quality and promptness of emergency assistance is highly dependant on the location of existing emergency vehicles. In this work, we propose a new model for optimizing emergency vehicles’ location that takes into account the existence of different types of emergency vehicles and the level of care they can provide, the possibility of vehicles’ substitution considering the hierarchy of levels of care and the explicit consideration of the progression of an emergency episode when the arrival of assistance suffers delays. The inherent uncertainty that exists in this problem is represented by a set of scenarios. A heuristic procedure for solving the problem was also developed. The model and algorithmic approach were tested using real data. It is possible to conclude that the application of stochastic location models that explicitly consider the evolution of the health condition of the victims when care is delayed can lead to better emergency coverage. The location of vehicles is indeed influenced by the explicit consideration of the impact of assistance time on the victims’ conditions.
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spelling Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistanceLocationOR in health servicesEmergency vehiclesUncertaintyThe quality and promptness of emergency assistance is highly dependant on the location of existing emergency vehicles. In this work, we propose a new model for optimizing emergency vehicles’ location that takes into account the existence of different types of emergency vehicles and the level of care they can provide, the possibility of vehicles’ substitution considering the hierarchy of levels of care and the explicit consideration of the progression of an emergency episode when the arrival of assistance suffers delays. The inherent uncertainty that exists in this problem is represented by a set of scenarios. A heuristic procedure for solving the problem was also developed. The model and algorithmic approach were tested using real data. It is possible to conclude that the application of stochastic location models that explicitly consider the evolution of the health condition of the victims when care is delayed can lead to better emergency coverage. The location of vehicles is indeed influenced by the explicit consideration of the impact of assistance time on the victims’ conditions.2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101181http://hdl.handle.net/10316/101181https://doi.org/10.1016/j.orp.2021.100202eng22147160Nelas, JoséDias, Joanainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-08-16T20:49:47Zoai:estudogeral.uc.pt:10316/101181Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:25.844852Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
title Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
spellingShingle Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
Nelas, José
Location
OR in health services
Emergency vehicles
Uncertainty
title_short Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
title_full Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
title_fullStr Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
title_full_unstemmed Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
title_sort Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
author Nelas, José
author_facet Nelas, José
Dias, Joana
author_role author
author2 Dias, Joana
author2_role author
dc.contributor.author.fl_str_mv Nelas, José
Dias, Joana
dc.subject.por.fl_str_mv Location
OR in health services
Emergency vehicles
Uncertainty
topic Location
OR in health services
Emergency vehicles
Uncertainty
description The quality and promptness of emergency assistance is highly dependant on the location of existing emergency vehicles. In this work, we propose a new model for optimizing emergency vehicles’ location that takes into account the existence of different types of emergency vehicles and the level of care they can provide, the possibility of vehicles’ substitution considering the hierarchy of levels of care and the explicit consideration of the progression of an emergency episode when the arrival of assistance suffers delays. The inherent uncertainty that exists in this problem is represented by a set of scenarios. A heuristic procedure for solving the problem was also developed. The model and algorithmic approach were tested using real data. It is possible to conclude that the application of stochastic location models that explicitly consider the evolution of the health condition of the victims when care is delayed can lead to better emergency coverage. The location of vehicles is indeed influenced by the explicit consideration of the impact of assistance time on the victims’ conditions.
publishDate 2021
dc.date.none.fl_str_mv 2021
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http://hdl.handle.net/10316/101181
https://doi.org/10.1016/j.orp.2021.100202
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https://doi.org/10.1016/j.orp.2021.100202
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