Publicação
Measuring mobility inequalities of favela residents based on mobile phone data
| 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. |
|---|---|
| Autores principais: | Leite Rodrigues, André |
| Outros Autores: | Giannotti, Mariana; Cunha Barboza, Matheus H.C.; Alves, Bianca Bianchi |
| Assunto: | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1866809870217379840 |
|---|---|
| author | Leite Rodrigues, André |
| author2 | Giannotti, Mariana Cunha Barboza, Matheus H.C. Alves, Bianca Bianchi |
| author2_role | author author author |
| author_facet | Leite Rodrigues, André Giannotti, Mariana Cunha Barboza, Matheus H.C. Alves, Bianca Bianchi |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Leite Rodrigues, André\"},{\"Person.name\":\"Giannotti, Mariana\"},{\"Person.name\":\"Cunha Barboza, Matheus H.C.\"},{\"Person.name\":\"Alves, Bianca Bianchi\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Leite Rodrigues, André Giannotti, Mariana Cunha Barboza, Matheus H.C. Alves, Bianca Bianchi |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-05-26T09:25:52Z |
| datacite.date.embargoed.fl_str_mv | 2021-05-26T09:25:52Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| datacite.titles.title.fl_str_mv | Measuring mobility inequalities of favela residents based on mobile phone data |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Leite Rodrigues, André Giannotti, Mariana Cunha Barboza, Matheus H.C. Alves, Bianca Bianchi |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-05-26T09:25:52Z |
| dc.date.embargoed.fl_str_mv | 2021-05-26T09:25:52Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/48174 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| dc.title.fl_str_mv | Measuring mobility inequalities of favela residents based on mobile phone data |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/7f56d8bb-927b-49d1-b6b3-fd76c4eb675d/download |
| id | ul_0d7c8f3fcbaba16fe92e6bb004f6ad75 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/48174 |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10451/48174 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Leite Rodrigues, André Giannotti, Mariana Cunha Barboza, Matheus H.C. Alves, Bianca Bianchi |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Elsevier |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engElsevierpt_PTThis 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.application/pdfpt_PTMeasuring mobility inequalities of favela residents based on mobile phone dataLeite Rodrigues, AndréGiannotti, MarianaCunha Barboza, Matheus H.C.Alves, Bianca BianchiHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISSNIsPartOf0197-3975DOIIsPartOf10.1016/j.habitatint.2021.1023462021-05-26T09:25:52Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/48174http://purl.org/coar/access_right/c_abf2open accessMobile phone dataSpace-time analysisFavelasUrban mobilityMobility inequalities11617729 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/7f56d8bb-927b-49d1-b6b3-fd76c4eb675d/downloadHabitat International110102346 |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| title | 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_short | Measuring mobility inequalities of favela residents based on mobile phone data |
| title_sort | Measuring mobility inequalities of favela residents based on mobile phone data |
| topic | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| topic_facet | Mobile phone data Space-time analysis Favelas Urban mobility Mobility inequalities |
| url | http://hdl.handle.net/10451/48174 |
| visible | 1 |