NetAScore - Network Assessment Score Toolbox for Sustainable Mobility
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Updated
Oct 25, 2026 - Jinja
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
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).
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.
Don't open, data about pedestrian accessibility inside
R client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities.
City Information Modeling with QGIS and Python
Headless 3D spatial mobility, biomechanical human kinematics, metabolic energy modeling, and multi-criteria routing engine.
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