superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities

Carlson Moses Büth, Anastassia Vybornova, Michael Szell

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Abstract

superblockify is a Python package designed to assist in planning future Superblock implementations by partitioning an urban street network into Superblock-like neighborhoods and providing tools for visualizing and analyzing these partition results. A Superblock is a set of adjacent urban blocks where vehicular through traffic is prevented or pacified, giving priority to people walking and cycling (Nieuwenhuijsen et al., 2024). The potential Superblock blueprints and descriptive statistics generated by superblockify can be used by urban planners as a first step in a data-driven planning pipeline for future urban transformations, or by urban data scientists as an efficient computational method to evaluate potential Superblock partitions. The software is licensed under AGPLv3 and is available at https://superblockify.city.
Original languageEnglish
Article number6798
Journaljournal of open source software
Volume9
Issue number100
DOIs
Publication statusPublished - 14 Aug 2024

Keywords

  • urban planning
  • geospatial analysis
  • network analysis
  • urban mobility

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