Work

Centrality measures in spatial networks of urban streets

Year: 2006

Type: article

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.

Source: Physical Review E

DOI: 10.1103/physreve.73.036125

Authors: Paolo Crucitti, Vito Latora, Sergio Porta

Institutions: University of Catania, Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Politecnico di Milano

Language: English

Topic: Urban Design and Spatial Analysis

Subfield: Urban Studies

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W2070857404

FWCI: 88.45

Cites: 24

Cited by: 734

Related to: 10