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Using Raster-Based GIS and Graph Theory to Analyze Complex Networks

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  • Laurie Schintler
  • Rajendra Kulkarni
  • Sean Gorman
  • Roger Stough

Abstract

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

Suggested Citation

  • Laurie Schintler & Rajendra Kulkarni & Sean Gorman & Roger Stough, 2007. "Using Raster-Based GIS and Graph Theory to Analyze Complex Networks," Networks and Spatial Economics, Springer, vol. 7(4), pages 301-313, December.
    • Handle: RePEc:kap:netspa:v:7:y:2007:i:4:p:301-313
    DOI: 10.1007/s11067-007-9029-4
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    References listed on IDEAS

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    Cited by:

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    2. Dimitrios Tsiotas & Serafeim Polyzos, 2018. "The Complexity in the Study of Spatial Networks: an Epistemological Approach," Networks and Spatial Economics, Springer, vol. 18(1), pages 1-32, March.
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    9. Rita Der Sarkissian & Chadi Abdallah & Jean-Marc Zaninetti & Sara Najem, 2020. "Modelling intra-dependencies to assess road network resilience to natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 121-137, August.
    10. Derudder, Ben & Witlox, Frank, 2009. "The impact of progressive liberalization on the spatiality of airline networks: a measurement framework based on the assessment of hierarchical differentiation," Journal of Transport Geography, Elsevier, vol. 17(4), pages 276-284.
    11. Renato Redondi & Paolo Malighetti & Stefano Paleari, 2011. "New Routes and Airport Connectivity," Networks and Spatial Economics, Springer, vol. 11(4), pages 713-725, December.
    12. Dimitrios Tsiotas & Serafeim Polyzos, 2015. "Analyzing the Maritime Transportation System in Greece: a Complex Network Approach," Networks and Spatial Economics, Springer, vol. 15(4), pages 981-1010, December.
    13. Psaltoglou, Artemis & Calle, Eusebi, 2018. "Enhanced connectivity index – A new measure for identifying critical points in urban public transportation networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 22-32.
    14. 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.
    15. Bono, Flavio & Gutiérrez, Eugenio, 2011. "A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1443-1455.
    16. Lei Kang & Chao Yang & Jeffrey C Peters & Peng Zeng, 2016. "Empirical analysis of road networks evolution patterns in a government-oriented development area," Environment and Planning B, , vol. 43(4), pages 698-715, July.
    17. Zapola, Guilherme S. & Silva, Evandro J. & Alves, Cláudio J.P. & Müller, Carlos, 2024. "Towards a resilience assessment framework for the airport passenger terminal operations," Journal of Air Transport Management, Elsevier, vol. 114(C).
    18. César Ducruet & Laurent Beauguitte, 2014. "Spatial Science and Network Science: Review and Outcomes of a Complex Relationship," Networks and Spatial Economics, Springer, vol. 14(3), pages 297-316, December.

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