Detecting multi-scale distance-based inconsistencies in cities through complex-networks

Detalhes bibliográficos
Autor(a) principal: Spadon, Gabriel
Data de Publicação: 2019
Outros Autores: Brandoli, Bruno, Eler, Danilo M. [UNESP], Rodrigues-, Jose F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.jocs.2018.12.015
http://hdl.handle.net/11449/185410
Resumo: We propose an algebraic tool-set and related algorithms to track access problems not obviously observed in urban environments represented as street mashes. Our tool-set assumes that points of interest must be promptly accessible within the paths of a street network. Over that assumption, we introduce formalisms and computational tools to detect and evaluate access-related problems. The output of our methods, in the form of inconsistent nodes found in a given city, has the potential to assist the decision-making process regarding the positioning of resources, building of new services, and outlining the initial design of a city. (C) 2018 Elsevier B.V. All rights reserved.
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spelling Detecting multi-scale distance-based inconsistencies in cities through complex-networksComplex networkNetwork analysisUrban structureWe propose an algebraic tool-set and related algorithms to track access problems not obviously observed in urban environments represented as street mashes. Our tool-set assumes that points of interest must be promptly accessible within the paths of a street network. Over that assumption, we introduce formalisms and computational tools to detect and evaluate access-related problems. The output of our methods, in the form of inconsistent nodes found in a given city, has the potential to assist the decision-making process regarding the positioning of resources, building of new services, and outlining the initial design of a city. (C) 2018 Elsevier B.V. All rights reserved.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Sao Paulo, Sao Carlos, SP, BrazilUniv Fed Mato Grosso do Sul, Comp Sci Dept, Ponta Pora, MS, BrazilSao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, BrazilCNPq: 167967/2017-7FAPESP: 2016/17078-0FAPESP: 2016/02557-0FAPESP: 2017/08376-0Elsevier B.V.Universidade de São Paulo (USP)Universidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Spadon, GabrielBrandoli, BrunoEler, Danilo M. [UNESP]Rodrigues-, Jose F.2019-10-04T12:35:15Z2019-10-04T12:35:15Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article209-222http://dx.doi.org/10.1016/j.jocs.2018.12.015Journal Of Computational Science. Amsterdam: Elsevier Science Bv, v. 30, p. 209-222, 2019.1877-7503http://hdl.handle.net/11449/18541010.1016/j.jocs.2018.12.015WOS:000457951200019Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Computational Scienceinfo:eu-repo/semantics/openAccess2024-06-19T14:31:50Zoai:repositorio.unesp.br:11449/185410Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-19T14:31:50Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Detecting multi-scale distance-based inconsistencies in cities through complex-networks
title Detecting multi-scale distance-based inconsistencies in cities through complex-networks
spellingShingle Detecting multi-scale distance-based inconsistencies in cities through complex-networks
Spadon, Gabriel
Complex network
Network analysis
Urban structure
title_short Detecting multi-scale distance-based inconsistencies in cities through complex-networks
title_full Detecting multi-scale distance-based inconsistencies in cities through complex-networks
title_fullStr Detecting multi-scale distance-based inconsistencies in cities through complex-networks
title_full_unstemmed Detecting multi-scale distance-based inconsistencies in cities through complex-networks
title_sort Detecting multi-scale distance-based inconsistencies in cities through complex-networks
author Spadon, Gabriel
author_facet Spadon, Gabriel
Brandoli, Bruno
Eler, Danilo M. [UNESP]
Rodrigues-, Jose F.
author_role author
author2 Brandoli, Bruno
Eler, Danilo M. [UNESP]
Rodrigues-, Jose F.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Spadon, Gabriel
Brandoli, Bruno
Eler, Danilo M. [UNESP]
Rodrigues-, Jose F.
dc.subject.por.fl_str_mv Complex network
Network analysis
Urban structure
topic Complex network
Network analysis
Urban structure
description We propose an algebraic tool-set and related algorithms to track access problems not obviously observed in urban environments represented as street mashes. Our tool-set assumes that points of interest must be promptly accessible within the paths of a street network. Over that assumption, we introduce formalisms and computational tools to detect and evaluate access-related problems. The output of our methods, in the form of inconsistent nodes found in a given city, has the potential to assist the decision-making process regarding the positioning of resources, building of new services, and outlining the initial design of a city. (C) 2018 Elsevier B.V. All rights reserved.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-04T12:35:15Z
2019-10-04T12:35:15Z
2019-01-01
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://dx.doi.org/10.1016/j.jocs.2018.12.015
Journal Of Computational Science. Amsterdam: Elsevier Science Bv, v. 30, p. 209-222, 2019.
1877-7503
http://hdl.handle.net/11449/185410
10.1016/j.jocs.2018.12.015
WOS:000457951200019
url http://dx.doi.org/10.1016/j.jocs.2018.12.015
http://hdl.handle.net/11449/185410
identifier_str_mv Journal Of Computational Science. Amsterdam: Elsevier Science Bv, v. 30, p. 209-222, 2019.
1877-7503
10.1016/j.jocs.2018.12.015
WOS:000457951200019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Computational Science
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 209-222
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803045240050810880

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