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A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood

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  • Boeing, Geoff

    (Northeastern University)

Abstract

OpenStreetMap offers a valuable source of worldwide geospatial data useful to urban researchers. This study uses the OSMnx software to automatically download and analyze 27,000 US street networks from OpenStreetMap at metropolitan, municipal, and neighborhood scales - namely, every US city and town, census urbanized area, and Zillow-defined neighborhood. It presents empirical findings on US urban form and street network characteristics, emphasizing measures relevant to graph theory, transportation, urban design, and morphology such as structure, connectedness, density, centrality, and resilience. In the past, street network data acquisition and processing have been challenging and ad hoc. This study illustrates the use of OSMnx and OpenStreetMap to consistently conduct street network analysis with extremely large sample sizes, with clearly defined network definitions and extents for reproducibility, and using nonplanar, directed graphs. These street networks and measures data have been shared in a public repository for other researchers to use.

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  • Boeing, Geoff, 2018. "A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood," SocArXiv hmhts, Center for Open Science.
    • Handle: RePEc:osf:socarx:hmhts
    DOI: 10.31219/osf.io/hmhts
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    5. Geoff Boeing, 2020. "Planarity and street network representation in urban form analysis," Environment and Planning B, , vol. 47(5), pages 855-869, June.
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    8. Boeing, Geoff, 2019. "The Morphology and Circuity of Walkable and Drivable Street Networks," SocArXiv edj2s, Center for Open Science.
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    Cited by:

    1. Geoff Boeing, 2020. "Planarity and street network representation in urban form analysis," Environment and Planning B, , vol. 47(5), pages 855-869, June.
    2. Liu, Shiqin & Higgs, Carl & Arundel, Jonathan & Boeing, Geoff & Cerdera, Nicholas & Moctezuma, David & Cerin, Ester & Adlakha, Deepti & Lowe, Melanie & Giles-Corti, Billie, 2021. "A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data," SocArXiv cua35, Center for Open Science.
    3. Boeing, Geoff, 2019. "Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood," SocArXiv 7fxjz, Center for Open Science.
    4. Pan, Jiamin & Zhao, Xia & Guo, Weisi & Feng, Yuhao & Liu, Yu & Zhu, Jiangling & Fang, Jingyun, 2024. "Characterizing China's road network development from a spatial entropy perspective," Journal of Transport Geography, Elsevier, vol. 116(C).
    5. Boeing, Geoff & Ha, Jaehyun, 2024. "Resilient by design: Simulating street network disruptions across every urban area in the world," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    6. Sedar Olmez & Jason Thompson & Ellie Marfleet & Keiran Suchak & Alison Heppenstall & Ed Manley & Annabel Whipp & Rajith Vidanaarachchi, 2022. "An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space," Energies, MDPI, vol. 15(11), pages 1-24, May.
    7. Juan C Duque & Nancy Lozano-Gracia & Jorge E Patino & Paula Restrepo, 2022. "Urban form and productivity: What shapes are Latin-American cities?," Environment and Planning B, , vol. 49(1), pages 131-150, January.
    8. Konstantin Klemmer & Tobias Brandt & Stephen Jarvis, 2018. "Isolating the effect of cycling on local business environments in London," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-31, December.
    9. Wang, Shiguang & Yu, Dexin & Kwan, Mei-Po & Zheng, Lili & Miao, Hongzhi & Li, Yongxing, 2020. "The impacts of road network density on motor vehicle travel: An empirical study of Chinese cities based on network theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 144-156.
    10. Shiguang Wang & Dexin Yu & Mei-Po Kwan & Huxing Zhou & Yongxing Li & Hongzhi Miao, 2019. "The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017," Sustainability, MDPI, vol. 11(19), pages 1-25, September.
    11. Cirunay, Michelle T. & Batac, Rene C., 2023. "Evolution of the periphery of a self-organized road network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).
    12. Baorui Han & Dazhi Sun & Xiaomei Yu & Wanlu Song & Lisha Ding, 2020. "Classification of Urban Street Networks Based on Tree-Like Network Features," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    13. Lingyue Li & Zhixin Qi & Shi Xian & Dong Yao, 2021. "Agricultural Land Use Change in Chongqing and the Policy Rationale behind It: A Multiscale Perspective," Land, MDPI, vol. 10(3), pages 1-18, March.
    14. Choi, Dong-ah & Ewing, Reid, 2021. "Effect of street network design on traffic congestion and traffic safety," Journal of Transport Geography, Elsevier, vol. 96(C).
    15. Boeing, Geoff, 2019. "The Morphology and Circuity of Walkable and Drivable Street Networks," SocArXiv edj2s, Center for Open Science.
    16. Hu, Xinlei & Huang, Jie & Shi, Feng, 2019. "Circuity in China's high-speed-rail network," Journal of Transport Geography, Elsevier, vol. 80(C).
    17. Boeing, Geoff, 2020. "Street Network Models and Indicators for Every Urban Area in the World," SocArXiv f2dqc, Center for Open Science.

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