Locating emergency vehicles: Modelling the substitutability of resources and the impact of delays in the arrival of assistance
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | |
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. |
id |
RCAP_269a54f3421acd5dde403e3cec56ef7e |
---|---|
oai_identifier_str |
oai:estudogeral.uc.pt:10316/101181 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/101181 http://hdl.handle.net/10316/101181 https://doi.org/10.1016/j.orp.2021.100202 |
url |
http://hdl.handle.net/10316/101181 https://doi.org/10.1016/j.orp.2021.100202 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
22147160 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134079071813632 |