A resectorization of fire brigades in the north of Portugal
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/19051 |
Resumo: | Sectorization can be regarded as a division of a territory into smaller regions to deal with a complex problem involving multiple-criteria. Resectorization intends to achieve another sectorization, according to some new conditions but avoiding substantial changes. An example of this can be the distribution of geographical areas by fire brigades. In Portugal, fire brigades must protect and rescue the population in the areas surrounding their fire stations. So we will use the current sectorization, the geographic and population characteristics of the areas and the fire brigades’ response capacity to provide an optimised resectorization, in order to decrease rescue time. To achieve that, we will use a decision support system using different optimisation methods, such as Non-dominated Sorting Genetic Algorithm (NSGA II), which provides an effective sectorization concerning compactness and equilibrium criteria. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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A resectorization of fire brigades in the north of PortugalSectorizationFire brigadesMultiple-criteriaResectorizationSectorization can be regarded as a division of a territory into smaller regions to deal with a complex problem involving multiple-criteria. Resectorization intends to achieve another sectorization, according to some new conditions but avoiding substantial changes. An example of this can be the distribution of geographical areas by fire brigades. In Portugal, fire brigades must protect and rescue the population in the areas surrounding their fire stations. So we will use the current sectorization, the geographic and population characteristics of the areas and the fire brigades’ response capacity to provide an optimised resectorization, in order to decrease rescue time. To achieve that, we will use a decision support system using different optimisation methods, such as Non-dominated Sorting Genetic Algorithm (NSGA II), which provides an effective sectorization concerning compactness and equilibrium criteria.APDIORepositório Científico do Instituto Politécnico do PortoLima, Maria MargaridaOzturk, E. GoksuSousa, FIlipeLopes, Isabel CristinaTeles Oliveira, CristinaRodrigues, Ana MariaCatarina Nunes, AnaSoeiro Ferreira, José2021-12-13T08:14:04Z2021-112021-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.22/19051enginfo: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:RCAAP2023-03-13T13:12:51Zoai:recipp.ipp.pt:10400.22/19051Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:39:06.245561Repositório 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 |
A resectorization of fire brigades in the north of Portugal |
title |
A resectorization of fire brigades in the north of Portugal |
spellingShingle |
A resectorization of fire brigades in the north of Portugal Lima, Maria Margarida Sectorization Fire brigades Multiple-criteria Resectorization |
title_short |
A resectorization of fire brigades in the north of Portugal |
title_full |
A resectorization of fire brigades in the north of Portugal |
title_fullStr |
A resectorization of fire brigades in the north of Portugal |
title_full_unstemmed |
A resectorization of fire brigades in the north of Portugal |
title_sort |
A resectorization of fire brigades in the north of Portugal |
author |
Lima, Maria Margarida |
author_facet |
Lima, Maria Margarida Ozturk, E. Goksu Sousa, FIlipe Lopes, Isabel Cristina Teles Oliveira, Cristina Rodrigues, Ana Maria Catarina Nunes, Ana Soeiro Ferreira, José |
author_role |
author |
author2 |
Ozturk, E. Goksu Sousa, FIlipe Lopes, Isabel Cristina Teles Oliveira, Cristina Rodrigues, Ana Maria Catarina Nunes, Ana Soeiro Ferreira, José |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Lima, Maria Margarida Ozturk, E. Goksu Sousa, FIlipe Lopes, Isabel Cristina Teles Oliveira, Cristina Rodrigues, Ana Maria Catarina Nunes, Ana Soeiro Ferreira, José |
dc.subject.por.fl_str_mv |
Sectorization Fire brigades Multiple-criteria Resectorization |
topic |
Sectorization Fire brigades Multiple-criteria Resectorization |
description |
Sectorization can be regarded as a division of a territory into smaller regions to deal with a complex problem involving multiple-criteria. Resectorization intends to achieve another sectorization, according to some new conditions but avoiding substantial changes. An example of this can be the distribution of geographical areas by fire brigades. In Portugal, fire brigades must protect and rescue the population in the areas surrounding their fire stations. So we will use the current sectorization, the geographic and population characteristics of the areas and the fire brigades’ response capacity to provide an optimised resectorization, in order to decrease rescue time. To achieve that, we will use a decision support system using different optimisation methods, such as Non-dominated Sorting Genetic Algorithm (NSGA II), which provides an effective sectorization concerning compactness and equilibrium criteria. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-13T08:14:04Z 2021-11 2021-11-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/19051 |
url |
http://hdl.handle.net/10400.22/19051 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
APDIO |
publisher.none.fl_str_mv |
APDIO |
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 |
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1799131479054221312 |