OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

USC urban data science course series with Python and Jupyter

Streetmix makes it easy for people to design public spaces together.

https://www.nytimes.com/2018/03/15/nyregion/bike-lane-blocked-new-york.html

Community list of data & technology resources concerning the built environment and communities. 🏙️🌳🚌🚦🗺️

🚲🚶🚌 Web-based 3D visualization of streets using A-Frame

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

depthmapX is a multi-platform Spatial Network Analysis Software

The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

Code, data and prose of the book: Spatial Microsimulation with R

Computational tools for urban analysis

An open-source tool for calculating spatial indicators for healthy, sustainable cities worldwide using open or custom data.

Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data

Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"

Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth

Public Life Data Protocol

Urban Multi-scale Environmental Predictor

Meirim is an open-source smart city application that facilitates transparency in urban planning.