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Urban Science Beyond Samples: Up-to-Date Street Network Models and Indicators for Every Urban Area in the World

Author

Listed:
  • Boeing, Geoff

    (Northeastern University)

Abstract

Urban planners need up-to-date, global, and consistent street network models and indicators to measure resilience and performance, model accessibility, and target local quality-of-life interventions. This article presents up-to-date street network models and indicators for every urban area in the world. It uses 2025 urban area boundaries from the Global Human Settlement Layer, allowing users to join these data to hundreds of other urban attributes. Its workflow ingests 180 million OpenStreetMap nodes and 360 million OpenStreetMap edges across 10,351 urban areas in 189 countries. The code, models, and indicators are publicly available for reuse. These resources unlock worldwide urban street network science beyond samples as well as local analyses in under-resourced regions where models and indicators are otherwise less-accessible.

Suggested Citation

  • Boeing, Geoff, 2026. "Urban Science Beyond Samples: Up-to-Date Street Network Models and Indicators for Every Urban Area in the World," SocArXiv z9cqh_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:z9cqh_v1
    DOI: 10.31219/osf.io/z9cqh_v1
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    References listed on IDEAS

    as
    1. Boeing, Geoff, 2025. "Modeling and Analyzing Urban Networks and Amenities with OSMnx," SocArXiv d5fp3_v1, Center for Open Science.
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