Atenção!


O atendimento às questões referentes ao Repositório Institucional será interrompido entre os dias 20 de dezembro de 2024 a 5 de janeiro de 2025.

Pedimos a sua compreensão e aproveitamos para desejar boas festas!

 

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

dc.contributor.authorSpadon, Gabriel
dc.contributor.authorBrandoli, Bruno
dc.contributor.authorEler, Danilo M. [UNESP]
dc.contributor.authorRodrigues-, Jose F.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-04T12:35:15Z
dc.date.available2019-10-04T12:35:15Z
dc.date.issued2019-01-01
dc.description.abstractWe 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.en
dc.description.affiliationUniv Sao Paulo, Sao Carlos, SP, Brazil
dc.description.affiliationUniv Fed Mato Grosso do Sul, Comp Sci Dept, Ponta Pora, MS, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCNPq: 167967/2017-7
dc.description.sponsorshipIdFAPESP: 2016/17078-0
dc.description.sponsorshipIdFAPESP: 2016/02557-0
dc.description.sponsorshipIdFAPESP: 2017/08376-0
dc.format.extent209-222
dc.identifierhttp://dx.doi.org/10.1016/j.jocs.2018.12.015
dc.identifier.citationJournal Of Computational Science. Amsterdam: Elsevier Science Bv, v. 30, p. 209-222, 2019.
dc.identifier.doi10.1016/j.jocs.2018.12.015
dc.identifier.issn1877-7503
dc.identifier.urihttp://hdl.handle.net/11449/185410
dc.identifier.wosWOS:000457951200019
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofJournal Of Computational Science
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectComplex network
dc.subjectNetwork analysis
dc.subjectUrban structure
dc.titleDetecting multi-scale distance-based inconsistencies in cities through complex-networksen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.departmentMatemática e Computação - FCTpt

Arquivos