Measuring mobility inequalities of favela residents based on mobile phone data

Detalhes bibliográficos
Autor(a) principal: Leite Rodrigues, André
Data de Publicação: 2021
Outros Autores: Giannotti, Mariana, Cunha Barboza, Matheus H.C., Alves, Bianca Bianchi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/48174
Resumo: This study investigated the mobility patterns of favela residents based on an analysis of their daily movements derived from high-frequency mobile phone data. Daily movements were measured considering the distance traveled at different times of day over the course of more than two months. Potential trip purposes for the most frequently visited locations were inferred based on land use data from property taxes. The high volume of geocoded data from mobile phones enabled the analysis during multiple days, also covering weekends, usually not considered in traditional transport surveys. The mobile phone data indicated that, on average, favela residents go farther from home during business days and perform less out of home activities during weekends when compared with non-favela residents. Further, distinct patterns for favelas and non-favela residents were mapped, considering different geographical areas, revealing space and time mobility inequalities.
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spelling Measuring mobility inequalities of favela residents based on mobile phone dataMobile phone dataSpace-time analysisFavelasUrban mobilityMobility inequalitiesThis study investigated the mobility patterns of favela residents based on an analysis of their daily movements derived from high-frequency mobile phone data. Daily movements were measured considering the distance traveled at different times of day over the course of more than two months. Potential trip purposes for the most frequently visited locations were inferred based on land use data from property taxes. The high volume of geocoded data from mobile phones enabled the analysis during multiple days, also covering weekends, usually not considered in traditional transport surveys. The mobile phone data indicated that, on average, favela residents go farther from home during business days and perform less out of home activities during weekends when compared with non-favela residents. Further, distinct patterns for favelas and non-favela residents were mapped, considering different geographical areas, revealing space and time mobility inequalities.ElsevierRepositório da Universidade de LisboaLeite Rodrigues, AndréGiannotti, MarianaCunha Barboza, Matheus H.C.Alves, Bianca Bianchi2021-05-26T09:25:52Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/48174engRodrigues, A. L., Giannotti, M., Barboza, M. H. C. C. & Alves, B. B. (2021). Measuring mobility inequalities of favela residents based on mobile phone data. Habitat International, 110, 102346. https://doi.org/10.1016/j.habitatint.2021.102346. Publicado: APR 20210197-397510.1016/j.habitatint.2021.102346info: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:RCAAP2023-11-08T16:51:24Zoai:repositorio.ul.pt:10451/48174Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:00:04.295775Repositório 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 Measuring mobility inequalities of favela residents based on mobile phone data
title Measuring mobility inequalities of favela residents based on mobile phone data
spellingShingle Measuring mobility inequalities of favela residents based on mobile phone data
Leite Rodrigues, André
Mobile phone data
Space-time analysis
Favelas
Urban mobility
Mobility inequalities
title_short Measuring mobility inequalities of favela residents based on mobile phone data
title_full Measuring mobility inequalities of favela residents based on mobile phone data
title_fullStr Measuring mobility inequalities of favela residents based on mobile phone data
title_full_unstemmed Measuring mobility inequalities of favela residents based on mobile phone data
title_sort Measuring mobility inequalities of favela residents based on mobile phone data
author Leite Rodrigues, André
author_facet Leite Rodrigues, André
Giannotti, Mariana
Cunha Barboza, Matheus H.C.
Alves, Bianca Bianchi
author_role author
author2 Giannotti, Mariana
Cunha Barboza, Matheus H.C.
Alves, Bianca Bianchi
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Leite Rodrigues, André
Giannotti, Mariana
Cunha Barboza, Matheus H.C.
Alves, Bianca Bianchi
dc.subject.por.fl_str_mv Mobile phone data
Space-time analysis
Favelas
Urban mobility
Mobility inequalities
topic Mobile phone data
Space-time analysis
Favelas
Urban mobility
Mobility inequalities
description This study investigated the mobility patterns of favela residents based on an analysis of their daily movements derived from high-frequency mobile phone data. Daily movements were measured considering the distance traveled at different times of day over the course of more than two months. Potential trip purposes for the most frequently visited locations were inferred based on land use data from property taxes. The high volume of geocoded data from mobile phones enabled the analysis during multiple days, also covering weekends, usually not considered in traditional transport surveys. The mobile phone data indicated that, on average, favela residents go farther from home during business days and perform less out of home activities during weekends when compared with non-favela residents. Further, distinct patterns for favelas and non-favela residents were mapped, considering different geographical areas, revealing space and time mobility inequalities.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-26T09:25:52Z
2021
2021-01-01T00:00:00Z
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/10451/48174
url http://hdl.handle.net/10451/48174
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rodrigues, A. L., Giannotti, M., Barboza, M. H. C. C. & Alves, B. B. (2021). Measuring mobility inequalities of favela residents based on mobile phone data. Habitat International, 110, 102346. https://doi.org/10.1016/j.habitatint.2021.102346. Publicado: APR 2021
0197-3975
10.1016/j.habitatint.2021.102346
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
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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
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