Using Raster-Based GIS and Graph Theory to Analyze Complex Networks
AbstractDisruptions 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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Bibliographic InfoArticle provided by Springer in its journal Networks and Spatial Economics.
Volume (Year): 7 (2007)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=106607
Complex networks; Geographic information system (GIS); Raster analysis; Transportation; Spatial interdependencies;
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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.
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- David Fajardo & Lauren Gardner, 2013. "Inferring Contagion Patterns in Social Contact Networks with Limited Infection Data," Networks and Spatial Economics, Springer, vol. 13(4), pages 399-426, December.
- Renato Redondi & Paolo Malighetti & Stefano Paleari, 2011. "New Routes and Airport Connectivity," Networks and Spatial Economics, Springer, vol. 11(4), pages 713-725, December.
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