Street Network Models and Indicators for Every Urban Area in the World

Cities worldwide exhibit a variety of street network patterns and configurations that shape human mobility, equity, health, and livelihoods. This study models and analyzes the street networks of every urban area in the world, using boundaries derived from the Global Human Settlement Layer. Street network data are acquired and modeled using the open-source OSMnx software and OpenStreetMap. In total, this study models over 150 million street network nodes and over 300 million edges across 9,000 urban areas in 178 countries. This paper demonstrates the study’s computational workflow, introduces two new open data repositories of processed global street network models and calculated indicators, and discusses analytical findings on street network form worldwide. It makes four contributions. First, it reports the methodological advances of using this software tool in spatial network modeling and analyses with open big data. Second, it produces an open data repository containing models for each of these urban areas, in various file formats, for public reuse. Third, it produces an open data repository containing dozens of calculated indicators of street network and urban form for each urban area. No such global urban street network indicator data set has previously existed. Fourth, it presents a preliminary descriptive spatial/network analysis of worldwide street network form at the metropolitan scale, reporting the first such analytical results in the literature.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 14p

Subject/Index Terms

Filing Info

  • Accession Number: 01764282
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-02033
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:24AM