Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area
This data descriptor presents two main datasets and a set of auxiliary files. The mobility dataset presents a long-term study of human mobility in the Rio de Janeiro Metropolitan Area (RJMA) performed in the entire year of 2014 based on mobile phone data. The socioeconomic dataset presents selected...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923007722 |
| _version_ | 1827616179998425088 |
|---|---|
| author | Júlio César Chaves Moacyr A.H.B. da Silva Ricardo de Souza Alencar Alexandre G. Evsukoff Vinícius da Fonseca Vieira |
| author_facet | Júlio César Chaves Moacyr A.H.B. da Silva Ricardo de Souza Alencar Alexandre G. Evsukoff Vinícius da Fonseca Vieira |
| author_sort | Júlio César Chaves |
| collection | DOAJ |
| description | This data descriptor presents two main datasets and a set of auxiliary files. The mobility dataset presents a long-term study of human mobility in the Rio de Janeiro Metropolitan Area (RJMA) performed in the entire year of 2014 based on mobile phone data. The socioeconomic dataset presents selected socioeconomic variables of the Brazilian 2010 census. A set of auxiliary files is included to present georeferenced information and geographic features (shapefiles) and data used to validate the mobility estimates. The human mobility estimation was carried out using a methodology that allows direct integration with census data, based on an approximation of the geographic boundaries of census units by an aggregation of Voronoi polygons of the mobile phone antennas. The study area is the Brazilian local area 21, which includes the entire RJMA and four other municipalities. The mobility dataset is divided into two files: one is an estimation of the origin-destination (OD) matrix per day, and the other is a visitors’ dataset where the number of visitors of each location is estimated in four shifts each day. The socioeconomic dataset presents information of 55 variables for each location, which have been used in different studies and present the longest human mobility dataset available for public use. |
| first_indexed | 2024-03-09T09:22:28Z |
| format | Article |
| id | doaj.art-c224e1b4b43a44e2aefc5a31ecca36b2 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-09T09:22:28Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-c224e1b4b43a44e2aefc5a31ecca36b22023-12-02T07:00:05ZengElsevierData in Brief2352-34092023-12-0151109695Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan areaJúlio César Chaves0Moacyr A.H.B. da Silva1Ricardo de Souza Alencar2Alexandre G. Evsukoff3Vinícius da Fonseca Vieira4EMAp/Getulio Vargas Foundation, Praia de Botafogo 190, Botafogo, 22253-900, Rio de Janeiro, Brazil; Corresponding author.EMAp/Getulio Vargas Foundation, Praia de Botafogo 190, Botafogo, 22253-900, Rio de Janeiro, BrazilCoppe/Federal University of Rio de Janeiro, 68506, Rio de Janeiro, BrazilCoppe/Federal University of Rio de Janeiro, 68506, Rio de Janeiro, BrazilUniversidade Federal de São João del Rei, Praça Frei Orlando, 170, 36307-352, São João del Rei, BrazilThis data descriptor presents two main datasets and a set of auxiliary files. The mobility dataset presents a long-term study of human mobility in the Rio de Janeiro Metropolitan Area (RJMA) performed in the entire year of 2014 based on mobile phone data. The socioeconomic dataset presents selected socioeconomic variables of the Brazilian 2010 census. A set of auxiliary files is included to present georeferenced information and geographic features (shapefiles) and data used to validate the mobility estimates. The human mobility estimation was carried out using a methodology that allows direct integration with census data, based on an approximation of the geographic boundaries of census units by an aggregation of Voronoi polygons of the mobile phone antennas. The study area is the Brazilian local area 21, which includes the entire RJMA and four other municipalities. The mobility dataset is divided into two files: one is an estimation of the origin-destination (OD) matrix per day, and the other is a visitors’ dataset where the number of visitors of each location is estimated in four shifts each day. The socioeconomic dataset presents information of 55 variables for each location, which have been used in different studies and present the longest human mobility dataset available for public use.http://www.sciencedirect.com/science/article/pii/S2352340923007722Human mobilitySocioeconomic indicatorsCall detail recordsMobile phone dataRio de janeiro metropolitan areaTransportation planning |
| spellingShingle | Júlio César Chaves Moacyr A.H.B. da Silva Ricardo de Souza Alencar Alexandre G. Evsukoff Vinícius da Fonseca Vieira Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area Data in Brief Human mobility Socioeconomic indicators Call detail records Mobile phone data Rio de janeiro metropolitan area Transportation planning |
| title | Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
| title_full | Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
| title_fullStr | Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
| title_full_unstemmed | Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
| title_short | Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
| title_sort | human mobility and socioeconomic datasets of the rio de janeiro metropolitan area |
| topic | Human mobility Socioeconomic indicators Call detail records Mobile phone data Rio de janeiro metropolitan area Transportation planning |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923007722 |
| work_keys_str_mv | AT juliocesarchaves humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea AT moacyrahbdasilva humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea AT ricardodesouzaalencar humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea AT alexandregevsukoff humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea AT viniciusdafonsecavieira humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea |