Centrality measures in spatial networks of urban streets

Paolo Crucitti, Vito Latora, and Sergio Porta
Phys. Rev. E 73, 036125 – Published 24 March 2006

Abstract

We study centrality in urban street patterns of different world cities represented as networks in geographical space. The results indicate that a spatial analysis based on a set of four centrality indices allows an extended visualization and characterization of the city structure. A hierarchical clustering analysis based on the distributions of centrality has a certain capacity to distinguish different classes of cities. In particular, self-organized cities exhibit scale-free properties similar to those found in nonspatial networks, while planned cities do not.

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  • Received 20 October 2005

DOI:https://doi.org/10.1103/PhysRevE.73.036125

©2006 American Physical Society

Authors & Affiliations

Paolo Crucitti1, Vito Latora2, and Sergio Porta3

  • 1Scuola Superiore di Catania, Italy
  • 2Dipartimento di Fisica e Astronomia, Università di Catania, and INFN Sezione di Catania, Italy
  • 3Dipartimento di Progettazione dell'Architettura, Politecnico di Milano, Italy

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Vol. 73, Iss. 3 — March 2006

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