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

TL;DR

This study models and analyzes street networks for every urban area globally, providing open data repositories and insights into worldwide street network patterns, using open-source tools and comprehensive data sources.

Contribution

It introduces a reproducible workflow, creates global open data repositories of street networks and indicators, and offers the first worldwide analysis of urban street network form.

Findings

Produced a global street network model dataset for 8,914 urban areas

Developed open-source workflow for modeling and analysis

Provided first comprehensive worldwide street network indicators

Abstract

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 from OpenStreetMap with the open-source OSMnx software. In total, this study models over 160 million OpenStreetMap street network nodes and over 320 million edges across 8,914 urban areas in 178 countries, and attaches elevation and grade data. This article presents the study's reproducible computational workflow, introduces two new open data repositories of ready-to-use global street network models and calculated indicators, and discusses summary findings on street network form worldwide. It makes four contributions. First, it reports the methodological advances of this open-source workflow. Second, it produces an open data repository containing street network models for each urban area. Third, it analyzes these models to produce an open data repository containing street network form indicators for each urban area. No such global urban street network indicator dataset has previously existed. Fourth, it presents a summary analysis of urban street network form, reporting the first such worldwide results in the literature.