Using Raster-Based GIS and Graph Theory to Analyze Complex Networks
Disruptions to transportation networks can be very costly. However, managing disruptions and the costs associated with these events, poses some challenges. Transport networks are, in many cases, large and complex. This paper develops a method, based on complex network theory, to analyse transportation networks. It provides a way, through the use raster-based geographic information system (GIS) techniques, to identify critical nodes or links in a network that reflect spatial interdependencies with other networks and to assess how resilient the networks are to failures of these locations. For purposes of illustration, the method is applied to the network of major roads and rail in the State of Florida. Copyright Springer Science+Business Media, LLC 2007
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Volume (Year): 7 (2007)
Issue (Month): 4 (December)
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- Sean P Gorman & Rajendra Kulkarni, 2004. "Spatial small worlds: new geographic patterns for an information economy," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 31(2), pages 273-296, March.
- Gorman, Sean P. & Malecki, Edward J., 2000. "The networks of the Internet: an analysis of provider networks in the USA," Telecommunications Policy, Elsevier, vol. 24(2), pages 113-134, March.
- Laura A. Schintler & Sean P. Gorman & Aura Reggiani & Roberto Patuelli & Andy Gillespie & Peter Nijkamp & Jonathan Rutherford, 2004. "Complex Network Phenomena in Telecommunication Systems," Tinbergen Institute Discussion Papers 04-118/3, Tinbergen Institute.
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