walkability

NetAScore - Network Assessment Score Toolbox for Sustainable Mobility

ArcGIS Python Toolbox for creating 3D walking networks

AwaP QGIS plugin, enables analysis of permeability within urban morphologies

IC QGIS plugin, calculates interface catchment within urban morphologies

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

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

Data visualizations on road-network

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

Development of a high-resolution walkability index for Europe

Click anywhere in Manhattan to see what you can walk to in 15 minutes. Dijkstra on an OpenStreetMap street graph, a 0–100 walkability score, React + Leaflet front end, FastAPI + Shapely back end

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

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).

Don't open, data about pedestrian accessibility inside

scores 74,000 Kolkata street segments for night-time exposure (lighting, open places, street context) from open data, and compares the shortest walk with a safer walk and walk with metro, by hour from 8 pm to 2 am.

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.

City Information Modeling with QGIS and Python

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