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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641473/ https://www.ncbi.nlm.nih.gov/pubmed/37965603 http://dx.doi.org/10.1016/j.dib.2023.109695 |
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author | Chaves, Júlio César da Silva, Moacyr A.H.B. Alencar, Ricardo de Souza Evsukoff, Alexandre G. Vieira, Vinícius da Fonseca |
author_facet | Chaves, Júlio César da Silva, Moacyr A.H.B. Alencar, Ricardo de Souza Evsukoff, Alexandre G. Vieira, Vinícius da Fonseca |
author_sort | Chaves, Júlio César |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10641473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106414732023-11-14 Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area Chaves, Júlio César da Silva, Moacyr A.H.B. Alencar, Ricardo de Souza Evsukoff, Alexandre G. Vieira, Vinícius da Fonseca Data Brief Data Article 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. Elsevier 2023-10-18 /pmc/articles/PMC10641473/ /pubmed/37965603 http://dx.doi.org/10.1016/j.dib.2023.109695 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Chaves, Júlio César da Silva, Moacyr A.H.B. Alencar, Ricardo de Souza Evsukoff, Alexandre G. Vieira, Vinícius da Fonseca Human mobility and socioeconomic datasets of the Rio de Janeiro metropolitan area |
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 | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641473/ https://www.ncbi.nlm.nih.gov/pubmed/37965603 http://dx.doi.org/10.1016/j.dib.2023.109695 |
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