osmnx-urban

What problem does it solve?

This Skill solves the problem of turning OpenStreetMap street data into measurable urban network insights for planning, research, and comparative analysis.

Core Features & Use Cases

• Download and project OSM street graphs: Build walk/drive/bike networks for a named place or around a lat/lon point using OSMnx, then project to enable distance/area computations.
• Compute network statistics and spatial metrics: Produce node/edge counts, density indicators, average block lengths, and circuity for quantitative city comparisons.
• Perform centrality, isochrone, POI, and routing analyses: Compute centrality measures, generate walkability isochrone polygons, measure nearest-POI accessibility, and support shortest-path workflows.
• Use Case: Compare multiple cities’ walkability by generating 5- and 10-minute isochrone areas from downtown centers and relating them to network density and circuity.

Quick Start

Ask your AI to download walking networks for five city centers, compute extended network statistics for each city, and generate 5- and 10-minute isochrones for walkability comparison.