Towards a Fractal Model of Connectivity in Regional Road Networks

This chapter describes how the fractal dimensions of road networks serve as connectivity measures for regional road networks. Both global and nodal connectivity indices can be used in order to measure connectivity regardless of the network shapes and sizes. Therefore, various networks can be easily compared to each other using the connectivity measures. The connectivity indices can also be computed for sub-parts of a network and used to compare these sub-parts in order to assess the differential demand of or lack of infrastructure. The connectivity models are based on the more traditional approach of graph theory is not capable of obtaining this type of information, especially when comparing a multitude of road networks of different sizes. These models provide even less information to policy makers for assessing relative adequacy of the built infrastructure of a region. It may be noted that the approach in this chapter neither supersedes nor replaces the traditional graph theory approach. Instead, the chapter aims to make available to policy makers a tool that can give them information about area road networks, which would otherwise be difficult to achieve from traditional models and measures. The method that is proposed in this chapter is both intuitive and empirical. It is easy to implement at all scales of network sizes using the current advances in geographic information systems (GIS). Almost without exception, transportation authorities in all regions have access to traffic information on lanes per segment of regional roads as well as the lane miles and areas of these networks. Hence, computation of the connectivity index becomes a simple exercise of measuring and rank-ordering the lanes, lane miles and calculating fractal dimensions.


  • English

Media Info

  • Media Type: Print
  • Features: Figures; Maps; References;
  • Pagination: pp 359-375
  • Monograph Title: Structural Change in Transportation and Communications in the Knowledge Society

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Filing Info

  • Accession Number: 01050145
  • Record Type: Publication
  • ISBN: 9781843766100
  • Files: TRIS
  • Created Date: May 29 2007 5:41PM