Adjacency grid defines spatial contiguity between New York City's official taxi zones using rook adjacency. The dataset includes connections across bridges and tunnels, modeling the physical transportation network. Author, organization, and creation date are unknown.
Use Cases
- Model taxi trip distribution probabilities between adjacent zones using the adjacency matrix.
- Analyze network connectivity and identify isolated zones or critical bridges/tunnels in the grid.
- Build graph neural network features for traffic prediction by incorporating zone adjacency relationships.
- Validate or correct trip records by checking for physical contiguity between origin and destination zones.
Strengths
- Includes connections for bridges and tunnels, reflecting real-world travel corridors.
- Uses rook contiguity, a specific and consistent rule for defining adjacency.
Limitations
- Dataset size, row count, and specific zone identifiers are unknown.
- The adjacency model may not reflect actual travel times or road network distances.
Provenance
- Source
- null
- Collection Method
- Constructed as an adjacency grid using rook contiguity rules.
- Time Range
- null
- Freshness
- null
- Geography
- New York City taxi zones.