Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout

Detalhes bibliográficos
Autor(a) principal: Bispo, Regina
Data de Publicação: 2023
Outros Autores: Vieira, Francisca G., Yokochi, Clara, Marques, Filipe J., Espadinha-Cruz, Pedro, Penha, Alexandre, Grilo, António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/164570
Resumo: Funding Information: Open access funding provided by FCT|FCCN (b-on). This work is funded by national funds through the FCT—Fundação para a Ciência e a Tecnologia, I.P., under the scope of the project DSAIPA/DS/0088/2019 and research and development units UNIDEMI (project UIDB/00667/2020) and NOVAMATH (projects UIDB/00297/2020 and UIDP/00297/2020). Publisher Copyright: © 2023, The Author(s).
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spelling Using spatial point process models, clustering and space partitioning to reconfigure fire stations layoutFireFire stationsk-meansPoisson point processVoronoi tessellationInformation SystemsModelling and SimulationComputer Science ApplicationsComputational Theory and MathematicsApplied MathematicsFunding Information: Open access funding provided by FCT|FCCN (b-on). This work is funded by national funds through the FCT—Fundação para a Ciência e a Tecnologia, I.P., under the scope of the project DSAIPA/DS/0088/2019 and research and development units UNIDEMI (project UIDB/00667/2020) and NOVAMATH (projects UIDB/00297/2020 and UIDP/00297/2020). Publisher Copyright: © 2023, The Author(s).Fire stations (FS) are typically non-uniformly distributed across space, and their service area is, in general, defined based on administrative boundaries. Since the location of FS may considerably influence the readiness and the effectiveness of the provided services, national and regional governments need research-based information to adequately plan where to establish firefighting facilities. In this study, we propose a method to reconfigure the fire stations layout using spatial point process models, clustering and space partitioning. First, modelling fire intensity variation across space through a point process model enables to replicate the process independently by simulation. Subsequently, for each simulation, the k-means algorithm is used to define a siting location, minimizing the total within distance between the fire occurrences and the new position. This method allows to obtain a set of locations from which the respective distribution is inferred. Assuming a bivariate normal spatial distribution, we further define confidence siting regions. Ultimately, new FS service areas are defined by Voronoi tessellation. To exemplify the application of the method, we apply it to reconfigure the fire station layout at Aveiro, Portugal.DM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialDEMI - Departamento de Engenharia Mecânica e IndustrialDCV - Departamento de Ciências da VidaRUNBispo, ReginaVieira, Francisca G.Yokochi, ClaraMarques, Filipe J.Espadinha-Cruz, PedroPenha, AlexandreGrilo, António2024-03-06T23:52:43Z2023-10-042023-10-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttp://hdl.handle.net/10362/164570eng2364-415XPURE: 84397504https://doi.org/10.1007/s41060-023-00455-zinfo: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:RCAAP2024-03-11T05:53:12Zoai:run.unl.pt:10362/164570Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:15.563814Repositório 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 Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
title Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
spellingShingle Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
Bispo, Regina
Fire
Fire stations
k-means
Poisson point process
Voronoi tessellation
Information Systems
Modelling and Simulation
Computer Science Applications
Computational Theory and Mathematics
Applied Mathematics
title_short Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
title_full Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
title_fullStr Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
title_full_unstemmed Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
title_sort Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout
author Bispo, Regina
author_facet Bispo, Regina
Vieira, Francisca G.
Yokochi, Clara
Marques, Filipe J.
Espadinha-Cruz, Pedro
Penha, Alexandre
Grilo, António
author_role author
author2 Vieira, Francisca G.
Yokochi, Clara
Marques, Filipe J.
Espadinha-Cruz, Pedro
Penha, Alexandre
Grilo, António
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
DEMI - Departamento de Engenharia Mecânica e Industrial
DCV - Departamento de Ciências da Vida
RUN
dc.contributor.author.fl_str_mv Bispo, Regina
Vieira, Francisca G.
Yokochi, Clara
Marques, Filipe J.
Espadinha-Cruz, Pedro
Penha, Alexandre
Grilo, António
dc.subject.por.fl_str_mv Fire
Fire stations
k-means
Poisson point process
Voronoi tessellation
Information Systems
Modelling and Simulation
Computer Science Applications
Computational Theory and Mathematics
Applied Mathematics
topic Fire
Fire stations
k-means
Poisson point process
Voronoi tessellation
Information Systems
Modelling and Simulation
Computer Science Applications
Computational Theory and Mathematics
Applied Mathematics
description Funding Information: Open access funding provided by FCT|FCCN (b-on). This work is funded by national funds through the FCT—Fundação para a Ciência e a Tecnologia, I.P., under the scope of the project DSAIPA/DS/0088/2019 and research and development units UNIDEMI (project UIDB/00667/2020) and NOVAMATH (projects UIDB/00297/2020 and UIDP/00297/2020). Publisher Copyright: © 2023, The Author(s).
publishDate 2023
dc.date.none.fl_str_mv 2023-10-04
2023-10-04T00:00:00Z
2024-03-06T23:52:43Z
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/10362/164570
url http://hdl.handle.net/10362/164570
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2364-415X
PURE: 84397504
https://doi.org/10.1007/s41060-023-00455-z
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
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
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