Combining travel and population data through a bivariate spatial analysis to define Functional Urban Regions

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorAguiar, Larissa Limongi [UNESP]-
Autor(es): dc.creatorManzato, Gustavo Garcia [UNESP]-
Autor(es): dc.creatorRodrigues da Silva, Antônio Nélson-
Data de aceite: dc.date.accessioned2022-02-22T00:23:54Z-
Data de disponibilização: dc.date.available2022-02-22T00:23:54Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.jtrangeo.2019.102565-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/198211-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/198211-
Descrição: dc.descriptionThe aim of this paper is to provide support to the issue of defining Functional Urban Regions (FURs). We carried out an exploratory study in which both commuting trips and population data were used in a combined setting. To do this, Bivariate Exploratory Spatial Data Analysis was used, enabling permuted analyses of the variables considered. The municipalities of São Paulo state, Brazil, were used in the case study investigated in this research. We observed that this combined analysis has more satisfactory results when compared to the analyses of variables in an isolated way. There is also a greater correlation of the results obtained from bivariate analysis with the official delimitations. Considering the possible permuted analyses, which are travel data versus population or population versus travel data, the first showed more reliable results in terms of identifying municipalities with strong correlations between the two variables. This can be observed both in areas within official FURs and throughout the territory, highlighting the areas of regional influence.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionSão Paulo State University – UNESP School of Engineering-
Descrição: dc.descriptionSão Paulo State University - UNESP School of Engineering Bauru, Avenida Engenheiro Luiz Edmundo Carrijo Coube, 14-01-
Descrição: dc.descriptionUniversity of São Paulo – USP São Carlos School of Engineering-
Descrição: dc.descriptionSão Paulo State University – UNESP School of Engineering-
Descrição: dc.descriptionSão Paulo State University - UNESP School of Engineering Bauru, Avenida Engenheiro Luiz Edmundo Carrijo Coube, 14-01-
Descrição: dc.descriptionFAPESP: 2014/26903-0-
Idioma: dc.languageen-
Relação: dc.relationJournal of Transport Geography-
???dc.source???: dc.sourceScopus-
Título: dc.titleCombining travel and population data through a bivariate spatial analysis to define Functional Urban Regions-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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