Topological patterns in street networks of self-organized urban settlements

C. Buhl (), J. Gautrais, N. Reeves, R. V. Solé, S. Valverde, P. Kuntz and G. Theraulaz
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C. Buhl: Centre de Recherches sur la Cognition Animale, CNRS UMR 5169, Université Paul Sabatier
J. Gautrais: Centre de Recherches sur la Cognition Animale, CNRS UMR 5169, Université Paul Sabatier
N. Reeves: Laboratoire NXI GESTATIO, Département de Design, Université du Québec à Montréal
R. V. Solé: ICREA-Complex Systems Lab,Universitat Pompeu Fabra
S. Valverde: ICREA-Complex Systems Lab,Universitat Pompeu Fabra
P. Kuntz: Laboratoire d'Informatique Nantes-Atlantique, Université de Nantes
G. Theraulaz: Centre de Recherches sur la Cognition Animale, CNRS UMR 5169, Université Paul Sabatier

The European Physical Journal B: Condensed Matter and Complex Systems, 2006, vol. 49, issue 4, 513-522

Abstract: Abstract. Many urban settlements result from a spatially distributed, decentralized building process. Here we analyze the topological patterns of organization of a large collection of such settlements using the approach of complex networks. The global efficiency (based on the inverse of shortest-path lengths), robustness to disconnections and cost (in terms of length) of these graphs is studied and their possible origins analyzed. A wide range of patterns is found, from tree-like settlements (highly vulnerable to random failures) to meshed urban patterns. The latter are shown to be more robust and efficient.

Keywords: 89.75.Hc Networks and genealogical trees; 89.40.Bb Land transportation; 89.65.Lm Urban planning and construction (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1140/epjb/e2006-00085-1

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