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A spatial multi-scale object to analyze road networks

Published online by Cambridge University Press:  12 February 2015

C. LAGESSE ,
P. BORDIN  and
S. DOUADY
C. LAGESSE
Affiliation:
Université Paris Diderot, Sorbonne Paris Cité, Matière et Systemes Complexes (MSC), UMR 7057, Paris, France (e-mail: [email protected])
P. BORDIN
Affiliation:
Université Paris-Est, Institut de Recherche en Constructibilité, ESTP, Cachan, France Université Paris Diderot, Sorbonne Paris Cité, Institut des Energies de Demain (IED), UMR 8236, Paris, France
S. DOUADY
Affiliation:
Université Paris Diderot, Sorbonne Paris Cité, Matière et Systemes Complexes (MSC), UMR 7057, Paris, France
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Abstract

City road networks have been extensively studied for their social significance or to quantify their connections and centralities, but often their geographical origin is forgotten. This work focuses on the spatial-geographical and geometrical aspects of the road network skeleton. Following previous work, a multi-scale object, the way, is constructed, based only on the local geometry at road crossings. The best method to reconstruct significant elements is investigated. The results show that this object is geographically meaningful, with many particular characteristics. A new indicator, structurality, is introduced and compared with previous indicators, on the cities of Paris and Avignon. Structurality appears to be stable over the borders of the map sample, and is able to reveal the underlying coherence of the road network. This stability can be interpreted as coming from the particular way the network developed in time, and was later preserved. This link with the historical development of the cites, which deserves to be further studied, is exemplified in the cases of Villers-sur-Mer (France) and Manaus (Brazil). The construction method, the results, and their potential meaning are discussed in detail so that they can be used in various related disciplines, such as sociology, town planning, geomatics, and physics.

Keywords

road networkgraph theoryspatial analysiscity modelingmorphogenesis
Type
Research Article
Information
Network Science , Volume 3 , Issue 1: Networks in Space and in Time: Methods and Applications , March 2015 , pp. 156 - 181
Copyright
Copyright © Cambridge University Press 2015 

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