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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.
Original language | English |
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Pages (from-to) | 036125-1 |
Number of pages | 36124 |
Journal | Physical Review E: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics |
Volume | 73 |
Issue number | 3, part 2 |
Publication status | Published - 24 Mar 2006 |
Keywords
- spatial networks
- urban
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Dive into the research topics of 'Centrality measures in spatial networks of urban streets'. Together they form a unique fingerprint.Activities
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Evolution of Complex Transportation Networks
Porta, S. (Organiser)
29 Aug 2011 → 30 Aug 2011Activity: Participating in or Organising an Event › Organiser of major conference