Evidence map›Paper›PMID 41006314›Full record

ArticleScientific data2025

Dataset on bus mobility and environmental indicators from Rio de Janeiro.

Diego Carvalho, Vinícius Vancellote, Pablo Moreira Casais, João Luiz Carabetta, Bruno Almeida, Fabio Porto, Eduardo Mendes, Renato Rocha Souza, Douglas de O Cardoso, Peter Fernandes Wanke and 6 more

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Diego Carvalho *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-1592-6327
Vinícius Vancellote *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.ORCID http://orcid.org/0009-0003-5708-5922
Pablo Moreira Casais *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.
João Luiz Carabetta *Prefeitura do Rio de Janeiro, Rio de Janeiro, Brazil.
Bruno Almeida *Prefeitura do Rio de Janeiro, Rio de Janeiro, Brazil.
Fabio Porto *National Laboratory of Scientific Computing, Petrópolis, Brazil.
Eduardo Mendes *FGV, São Paulo, Brazil.
Renato Rocha Souza *FGV, Rio de Janeiro, Brazil.
Douglas de O Cardoso *Faculty of Economics, University of Coimbra, Coimbra, Portugal.
Peter Fernandes Wanke *EBAPE - Brazilian School of Public and Business Administration, Getulio Vargas Foundation, Rio de Janeiro, Brazil.
Rafael Barbastefano *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.
Rafaelli Coutinho *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.
Diego Brandão *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.
Miguel Diaz-Cacho *Department of Systems Engineering and Automatics, Universidade de Vigo, Vigo, Spain.
André Mendes *VALORIZA, Research Centre for Endogenous Resource Valorization, Polytechnic Institute of Portalegre, Campus Politécnico, Portalegre, Portugal.
Eduardo Ogasawara *Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil. eogasawara@ieee.org.ORCID http://orcid.org/0000-0002-0466-0626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of public transport is essential when considering urban mobility in large cities. Several factors, such as the increase in urban population, rain, and traffic events, can impact mobility, causing congestion. Addressing this issue is essential for the population and is part of the UN's 2030 Agenda for Sustainable Development goals. Integrating data from different sources is crucial to understanding and planning urban traffic. This work aims to provide a dataset with spatiotemporal information on the mobility of municipal buses, including the estimated emission of polluting gases and the rainfall volume in Rio de Janeiro from 2014 to 2023. Its format facilitates integration with other Rio de Janeiro City Hall datasets, enabling the increase and deepening of the analyses. This work is the first to combine data from bus observation with positional information on neighborhoods and rainfall regions, rainfall volumes, and pollutant gas emissions. Thus, its availability opens opportunities for research topics involving public transport associated with environmental indicators and data science with time series studies and positional data.

Identifiers

PMID41006314
PMCPMC12475399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.