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Related Concept Videos

Sustainable Development01:43

Sustainable Development

As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

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Bus Impedance Matrix01:24

Bus Impedance Matrix

Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Selected Data About Geographic Locations

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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
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Summary
This summary is machine-generated.

This study provides a unique dataset on Rio de Janeiro

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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.