NYC Pedestrian Demand Street Categorization

NYC DOT developed a framework categorizing streets based on pedestrian needs. The plan uses citywide data sources for pedestrian generators to improve comfort and increase walking. Data was last updated in March 2026.

Use Cases

• Analyze pedestrian demand correlations between `Rank` and proximity to institutions like `StSenDist` or `AssemDist`.
• Map pedestrian needs by `Boro` or `NTA2020` neighborhood using the `Category` and `the_geom` fields.
• Identify high-priority corridors for sidewalk improvements by joining `segmentid` with traffic or crash data.
• Assess equity in pedestrian infrastructure by comparing `Category` across different `CounDist` council districts.

Strengths

• Includes a `the_geom` field for geospatial analysis.
• Categorizes streets across all five NYC boroughs (`Boro`).

Limitations

• Sample data and exact row count are unavailable for assessing volume.
• Specific data sources and collection methodology are not detailed in the description.

Provenance

Source

New York City Department of Transportation (NYC DOT).

Collection Method

Developed from citywide data sources for pedestrian generators.

Freshness

Last updated March 2026.

Geography

New York City, USA.