superblockify

Data built with v1.0.2 from OpenStreetMap data of Sep 8, 2026

superblockify is a Python package that generates superblock-based partitions of urban street networks — potential car-free or traffic-calmed neighborhoods that prioritize pedestrians and cyclists. It visualizes alternative partitioning schemes and provides statistical analysis of each scenario, enabling planners to compare different superblock configurations for their city.

Watch the tutorial on YouTube

Install & Run it yourself

Requires Python>=3.10


			
				conda install superblockify
			
				python
			
				import superblockify as sb
			
				sb.ResidentialPartitioner(
			
				    city_name='Scheveningen',
			
				    search_str='Scheveningen, NL',
			
				).run()

Docs Code

Learn more about the science

Journal of Open Source Software 9(100), 6798 (2024) superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities C.M. Büth, A. Vybornova, M. Szell

Explore tool results

Pick one of the featured cities below, or search among the 373 available cities for this tool in the search bar belowon the right!