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The backbone of a city

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  • S. Scellato
  • A. Cardillo
  • V. Latora

  • S. Porta

Abstract

Recent studies have revealed the importance of centrality measures to analyze various spatial factors affecting human life in cities. Here we show how it is possible to extract the backbone of a city by deriving spanning trees based on edge betweenness and edge information. By using as sample cases the cities of Bologna and San Francisco, we show how the obtained trees are radically different from those based on edge lengths, and allow an extended comprehension of the “skeleton” of most important routes that so much affects pedestrian/vehicular flows, retail commerce vitality, land-use separation, urban crime and collective dynamical behaviours. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

Suggested Citation

  • S. Scellato & A. Cardillo & V. Latora & S. Porta, 2006. "The backbone of a city," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 221-225, March.
    • Handle: RePEc:spr:eurphb:v:50:y:2006:i:1:p:221-225
    DOI: 10.1140/epjb/e2006-00066-4
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    Cited by:

    1. Ioannidou, Dimitra & Nikias, Vasileios & Brière, Raphaël & Zerbi, Stefano & Habert, Guillaume, 2015. "Land-cover-based indicator to assess the accessibility of resources used in the construction sector," Resources, Conservation & Recycling, Elsevier, vol. 94(C), pages 80-91.
    2. Guanwen Yin & Tianzi Liu & Yanbin Chen & Yiming Hou, 2022. "Disparity and Spatial Heterogeneity of the Correlation between Street Centrality and Land Use Intensity in Jinan, China," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    3. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.
    4. Marc Barthélemy & Alessandro Flammini, 2009. "Co-evolution of Density and Topology in a Simple Model of City Formation," Networks and Spatial Economics, Springer, vol. 9(3), pages 401-425, September.
    5. Dumedah, Gift & Eshun, Gabriel, 2020. "The case of Paratransit - ‘Trotro’ service data as a credible location addressing of road networks in Ghana," Journal of Transport Geography, Elsevier, vol. 84(C).
    6. Cardwell, Julia & Delamater, Paul L. & Konrad, Charles E., 2024. "Impacts of weather-related road closures on daily habitual travel in North Carolina," Journal of Transport Geography, Elsevier, vol. 121(C).
    7. Wang, Shiguang & Yu, Dexin & Lin, Ciyun & Shang, Qiang & Lin, Yu, 2018. "How to connect with each other between roads? An empirical study of urban road connection properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 775-787.
    8. Hanning Yuan & Yanni Han & Ning Cai & Wei An, 2018. "A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential," Complexity, Hindawi, vol. 2018, pages 1-8, October.

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