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Automated Street Network Analysis for Urban Planners with OSMnx

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  • Boeing, Geoff

    (Northeastern University)

Abstract

Street network modeling has become ubiquitous in urban planning for analyzing transportation infrastructure, household travel behavior, accessibility and social equity, location centrality, walkability, and indicators of the urban fabric including block sizes, intersection density, and connectivity. However, straightforward, scalable tools for professional planners to automatically acquire and analyze detailed street networks have been few and far between. OSMnx offers an easier way. It is a new, free, open-source tool that allows anyone to download walkable, drivable, or bikeable urban networks from OpenStreetMap for any city name, address, or polygon in the world, then automatically analyze and visualize them. OSMnx democratizes these data and methods to help technical and non-technical planners use OpenStreetMap data to model urban form, circulation, accessibility, and resilience.

Suggested Citation

  • Boeing, Geoff, 2018. "Automated Street Network Analysis for Urban Planners with OSMnx," SocArXiv mkbp3, Center for Open Science.
    • Handle: RePEc:osf:socarx:mkbp3
    DOI: 10.31219/osf.io/mkbp3
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