Ambulances deployment problems: categorization, evolution and dynamic problems review

In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to...

Full description

Autores:
Neira Rodado, Dionicio
Escobar, John Willmer
McClean, Sally
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9256
Acceso en línea:
https://hdl.handle.net/11323/9256
https://doi.org/10.3390/ijgi11020109
https://repositorio.cuc.edu.co/
Palabra clave:
Ambulance
Location
Dispatch
Relocation
Emergency
Optimization
Routing
Emergency Medical Services (EMS)
Rights
openAccess
License
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
id RCUC2_3bd53699533ce40935659c276495d1dd
oai_identifier_str oai:repositorio.cuc.edu.co:11323/9256
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv Ambulances deployment problems: categorization, evolution and dynamic problems review
title Ambulances deployment problems: categorization, evolution and dynamic problems review
spellingShingle Ambulances deployment problems: categorization, evolution and dynamic problems review
Ambulance
Location
Dispatch
Relocation
Emergency
Optimization
Routing
Emergency Medical Services (EMS)
title_short Ambulances deployment problems: categorization, evolution and dynamic problems review
title_full Ambulances deployment problems: categorization, evolution and dynamic problems review
title_fullStr Ambulances deployment problems: categorization, evolution and dynamic problems review
title_full_unstemmed Ambulances deployment problems: categorization, evolution and dynamic problems review
title_sort Ambulances deployment problems: categorization, evolution and dynamic problems review
dc.creator.fl_str_mv Neira Rodado, Dionicio
Escobar, John Willmer
McClean, Sally
dc.contributor.author.spa.fl_str_mv Neira Rodado, Dionicio
Escobar, John Willmer
McClean, Sally
dc.subject.proposal.eng.fl_str_mv Ambulance
Location
Dispatch
Relocation
Emergency
Optimization
Routing
Emergency Medical Services (EMS)
topic Ambulance
Location
Dispatch
Relocation
Emergency
Optimization
Routing
Emergency Medical Services (EMS)
description In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to identify the evolution and recent applications of this kind of problem once the basic models are explored. This extensive review allowed us to identify the most recent developments in this problem and the most critical gaps to be addressed. In this sense, it is essential to point out that the dynamic location of emergency medical services (EMS) is nowadays a relevant topic considering its impact on the healthcare system outcomes. Issues related to forecasting, simulation, heterogeneous fleets, robustness, and solution speed for real-life problems, stand out in the identified gaps. Applications of machine learning the deployment challenges during epidemic outbreaks such as SARS and COVID-19 were also explored. At the same time, a proposed notation tries to tackle the fact that the word problem in this kind of work refers to a model on many occasions. The proposed notation eases the comparison between the different model proposals found in the literature.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-06-15T19:17:37Z
dc.date.available.none.fl_str_mv 2022-06-15T19:17:37Z
dc.date.issued.none.fl_str_mv 2022-02-03
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
format http://purl.org/coar/resource_type/c_6501
dc.identifier.citation.spa.fl_str_mv Neira-Rodado, D.; Escobar-Velasquez, J.W.; McClean, S. Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review. ISPRS Int. J. Geo-Inf. 2022, 11, 109. https://doi.org/10.3390/ijgi11020109
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9256
dc.identifier.url.spa.fl_str_mv https://doi.org/10.3390/ijgi11020109
dc.identifier.doi.spa.fl_str_mv 10.3390/ijgi11020109
dc.identifier.eissn.spa.fl_str_mv 2220-9964
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Neira-Rodado, D.; Escobar-Velasquez, J.W.; McClean, S. Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review. ISPRS Int. J. Geo-Inf. 2022, 11, 109. https://doi.org/10.3390/ijgi11020109
10.3390/ijgi11020109
2220-9964
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9256
https://doi.org/10.3390/ijgi11020109
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv ISPRS International Journal of Geo-Information
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spelling Neira Rodado, Dioniciod24b5c1a29df08a69d1f234065a6b291600Escobar, John Willmere54e42d4e59ff8b36110b08eeccfcf8e600McClean, Sally9327cf873c28bdda765b6a99aeeaeb7d6002022-06-15T19:17:37Z2022-06-15T19:17:37Z2022-02-03Neira-Rodado, D.; Escobar-Velasquez, J.W.; McClean, S. Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review. ISPRS Int. J. Geo-Inf. 2022, 11, 109. https://doi.org/10.3390/ijgi11020109https://hdl.handle.net/11323/9256https://doi.org/10.3390/ijgi1102010910.3390/ijgi110201092220-9964Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to identify the evolution and recent applications of this kind of problem once the basic models are explored. This extensive review allowed us to identify the most recent developments in this problem and the most critical gaps to be addressed. In this sense, it is essential to point out that the dynamic location of emergency medical services (EMS) is nowadays a relevant topic considering its impact on the healthcare system outcomes. Issues related to forecasting, simulation, heterogeneous fleets, robustness, and solution speed for real-life problems, stand out in the identified gaps. Applications of machine learning the deployment challenges during epidemic outbreaks such as SARS and COVID-19 were also explored. At the same time, a proposed notation tries to tackle the fact that the word problem in this kind of work refers to a model on many occasions. The proposed notation eases the comparison between the different model proposals found in the literature.37 páginasapplication/pdfengMDPI AGSwitzerland© 2022 by the authors. Licensee MDPI, Basel, Switzerland.Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ambulances deployment problems: categorization, evolution and dynamic problems reviewArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.mdpi.com/2220-9964/11/2/109ISPRS International Journal of Geo-Information1. Ortiz-Barrios, M.; Neira-Rodado, D.; Jiménez-Delgado, G.; McClean, S.; Lara, O. 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