walkability

NetAScore - Network Assessment Score Toolbox for Sustainable Mobility

AwaP QGIS plugin, enables analysis of permeability within urban morphologies

ArcGIS Python Toolbox for creating 3D walking networks

generating various measures of urban form, built environment, and walkability for the Toronto region

IC QGIS plugin, calculates interface catchment within urban morphologies

Full-stack web application for the visualization of road attributes and route planning in Amsterdam using area avoidance, focusing on the needs of the elderly and vulnerable people.

A geospatial dataset focusing on walkability and pedestrian access

Temperature, humidity and pollution levels monitoring in the campus.

Packaged repository for the final studio project for the Artificial Intelligence seminar at the MACAD Masters

Development of a high-resolution walkability index for Europe

Ready-to-use MCP extensions for Gemini CLI and Claude Desktop - neighborhood intelligence, school ratings, flood risk, air quality, and more.

Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?

Shows how much of a city's walkable street network you can reach in a 10-minute walk.

City Information Modeling with QGIS and Python

R client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities.

Street livability score for any city: every residential street scored 0-100 for light, green space, noise, tourists and walkability, from OpenStreetMap, Overture Maps and Sentinel-2 open data. Runs as an AI agent skill (Claude Code and others).

An end-to-end data pipeline analyzing walkability and service voids in a local community with OSM data and building footprints as a population proxy.

Headless 3D spatial mobility, biomechanical human kinematics, metabolic energy modeling, and multi-criteria routing engine.

Don't open, data about pedestrian accessibility inside

An interactive agent-based simulation that models how pedestrians naturally carve desire paths across terrain. Place origin and destination nodes on real-world maps, then watch friction fields form and emergent foot traffic patterns emerge from the interaction of agents navigating through walkable surfaces.