AwaP QGIS plugin, enables analysis of permeability within urban morphologies
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Updated
Sep 13, 2024 - Python
AwaP QGIS plugin, enables analysis of permeability within urban morphologies
ArcGIS Python Toolbox for creating 3D walking networks
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.
Shows how much of a city's walkable street network you can reach in a 10-minute walk.
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.
Pedestrian network quality tool for Brussels — walkability scores, missing crossings & sidewalk gap detection, built from and for OpenStreetMap data.
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).
Walk Score integration for walkability, transit, and bike scores.
Core geospatial, spatial statistics, MCDA, and urban resilience engines for the PlanX ecosystem.
Python client for the Close API: walking, cycling, and public transit travel times from every US census block to nearby amenities
Street walkability audit from walk photos using local Gemma
Walkable A→B→C route recommender for Seoul's Jongno district — deterministic reachability engine + learned next-POI ranker (NN). React + Leaflet, PyTorch.
Composite walkability index integrated with outdoor thermal comfort indicators for Münster, Germany.
A generative route planner that uses OpenStreetMap and a custom cost function to create circular walking paths optimized for vibes like greenery, quietness, and safety.
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