Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chaves, Júlio César, da Silva, Moacyr A.H.B., Alencar, Ricardo de Souza, Evsukoff, Alexandre G., Vieira, Vinícius da Fonseca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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
_version_ 1785146775489740800
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
work_keys_str_mv AT chavesjuliocesar humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea
AT dasilvamoacyrahb humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea
AT alencarricardodesouza humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea
AT evsukoffalexandreg humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea
AT vieiraviniciusdafonseca humanmobilityandsocioeconomicdatasetsoftheriodejaneirometropolitanarea