21,892 nodes from the SPTrans GTFS data have been analyzed for graph centrality metrics. The dataset provides network analysis results for São Paulo's public transit system. The author and creation date are not specified.
Use Cases
- Identify critical transit hubs by analyzing node centrality metrics.
- Model network vulnerability by simulating the removal of high-centrality nodes.
- Compare the structural importance of different bus stops or stations within the 21,892-node graph.
- Optimize route planning by understanding the connectivity and betweenness of nodes.
- Validate graph theory models using real-world transit network data from São Paulo.
Strengths
- Analysis covers 21,892 nodes, representing a large-scale transit network.
- Derived from an official GTFS source (SPTrans), indicating a structured foundation.
Limitations
- Specific centrality metrics (e.g., degree, betweenness) and their values are not described.
- No sample data or column definitions are provided to verify data structure.
- The temporal coverage of the underlying GTFS data is unknown.
Provenance
- Source
- SPTrans GTFS data.
- Collection Method
- Graph analysis performed on GTFS network data.
- Time Range
- null
- Freshness
- null
- Geography
- São Paulo, Brazil.