Detecting multi-scale distance-based inconsistencies in cities through complex-networks
dc.contributor.author | Spadon, Gabriel | |
dc.contributor.author | Brandoli, Bruno | |
dc.contributor.author | Eler, Danilo M. [UNESP] | |
dc.contributor.author | Rodrigues-, Jose F. | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Federal de Mato Grosso do Sul (UFMS) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2019-10-04T12:35:15Z | |
dc.date.available | 2019-10-04T12:35:15Z | |
dc.date.issued | 2019-01-01 | |
dc.description.abstract | 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. | en |
dc.description.affiliation | Univ Sao Paulo, Sao Carlos, SP, Brazil | |
dc.description.affiliation | Univ Fed Mato Grosso do Sul, Comp Sci Dept, Ponta Pora, MS, Brazil | |
dc.description.affiliation | Sao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, Brazil | |
dc.description.affiliationUnesp | Sao Paulo State Univ, Dept Math & Computat, Presidente Prudente, SP, Brazil | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
dc.description.sponsorshipId | CNPq: 167967/2017-7 | |
dc.description.sponsorshipId | FAPESP: 2016/17078-0 | |
dc.description.sponsorshipId | FAPESP: 2016/02557-0 | |
dc.description.sponsorshipId | FAPESP: 2017/08376-0 | |
dc.format.extent | 209-222 | |
dc.identifier | http://dx.doi.org/10.1016/j.jocs.2018.12.015 | |
dc.identifier.citation | Journal Of Computational Science. Amsterdam: Elsevier Science Bv, v. 30, p. 209-222, 2019. | |
dc.identifier.doi | 10.1016/j.jocs.2018.12.015 | |
dc.identifier.issn | 1877-7503 | |
dc.identifier.uri | http://hdl.handle.net/11449/185410 | |
dc.identifier.wos | WOS:000457951200019 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Journal Of Computational Science | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.subject | Complex network | |
dc.subject | Network analysis | |
dc.subject | Urban structure | |
dc.title | Detecting multi-scale distance-based inconsistencies in cities through complex-networks | en |
dc.type | Artigo | |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. | |
unesp.department | Matemática e Computação - FCT | pt |