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

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

IC QGIS plugin, calculates interface catchment within urban morphologies

A geospatial dataset focusing on walkability and pedestrian access

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.

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

Temperature, humidity and pollution levels monitoring in the campus.

Development of a high-resolution walkability index for Europe

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

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

Don't open, data about pedestrian accessibility inside

City Information Modeling with QGIS and Python

Walk Score measures the walkability, transit accessibility, and bikeability of any address in the United States and Canada. The Walk Score API returns Walk Score, Transit Score, and Bike Score for any geographic location, supporting real estate platforms, commute calculators, urban planning tools, and location intelligence applications.

This project analyzes walkability data to explore relationships between urban design, accessibility, and quality of life metrics.

A Data Science-based study made for uncovering the walkability and ciclability of the streets of Helsinki based on Open Data.

This repository has all the codes that I wrote as assignment for mobility courses I took in University of Tartu.

This project is about Walkability vs. Subjective Well-Being.

Open dataset: Melbourne suburb statistics — 321 suburbs, property prices, rent, safety, walkability, transport scores. By melbz.com.au