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Dataset on bus mobility and environmental indicators from Rio de Janeiro
Diego Carvalho1, Vinícius Vancellote1, Pablo Moreira Casais1
1Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ), Rio de Janeiro, Brazil.
Scientific Data
|September 26, 2025
Summary
This study provides a unique dataset on Rio de Janeiro
Area of Science:
- Urban planning and environmental science, focusing on the intersection of public transportation, urban mobility, and environmental impact.
Background:
- Urban mobility in large cities is significantly impacted by factors like population growth, weather events, and traffic congestion.
- Addressing urban mobility challenges is crucial for sustainable development, aligning with the UN's 2030 Agenda.
- Effective urban traffic planning necessitates the integration of diverse data sources.
Purpose of the Study:
- To create a comprehensive spatiotemporal dataset of municipal bus mobility in Rio de Janeiro from 2014 to 2023.
- To integrate data on estimated pollutant gas emissions and rainfall volume.
- To facilitate enhanced analysis by enabling integration with existing Rio de Janeiro City Hall datasets.
Main Methods:
- Compilation of spatiotemporal data on municipal bus movements.
- Estimation of pollutant gas emissions associated with bus transit.
- Inclusion of historical rainfall volume data, geolocated by region.
Main Results:
- Development of a novel dataset combining bus mobility, environmental indicators (rainfall), and pollutant emissions for Rio de Janeiro.
- The dataset uniquely integrates bus observation data with neighborhood positional data, rainfall regions, volumes, and gas emissions.
- This integrated dataset is formatted for seamless compatibility with other municipal datasets.
Conclusions:
- The dataset provides a foundation for advanced research at the nexus of public transport, environmental indicators, and urban planning.
- Opens avenues for data science applications, including time series analysis and geospatial studies related to urban mobility.
- Facilitates a deeper understanding of the environmental impact of public transportation systems.
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