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Spatial structures of network flows: A graph theoretical approach

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  • Gutiérrez Puebla, Javier

Abstract

The aim of this paper is to contribute to the development and systematization of some of the possibilities offered by graph-theory approach dealing with flow data. Two complementary methods are expounded: simple linkage analysis, a variant of Nystuen and Dacey's method put forward by the present author, and multiple linkage analysis. These two methods enable the representation of the basic interrelation structures within a given network. Finally, certain indices are developed to measure the degree of dispersion of these structures.

Suggested Citation

  • Gutiérrez Puebla, Javier, 1987. "Spatial structures of network flows: A graph theoretical approach," Transportation Research Part B: Methodological, Elsevier, vol. 21(6), pages 489-502, December.
    • Handle: RePEc:eee:transb:v:21:y:1987:i:6:p:489-502
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    Cited by:

    1. Kevin Cullinane & Yuhong Wang, 2012. "The hierarchical configuration of the container port industry: an application of multiple linkage analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(2), pages 169-187, March.
    2. Wang, Yuhong & Cullinane, Kevin, 2014. "Traffic consolidation in East Asian container ports: A network flow analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 152-163.
    3. Banai, Reza & Wakolbinger, Tina, 2011. "A measure of regional influence with the analytic network process," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 165-173, December.
    4. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "Transport network backbone extraction: A comparison of techniques," Journal of Transport Geography, Elsevier, vol. 69(C), pages 271-281.
    5. Nathalie Van Nuffel & Ben Derudder & Frank Witlox, 2010. "Even Important Connections Are Not Always Meaningful: On The Use Of A Polarisation Measure In A Typology Of European Cities In Air Transport Networks," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 101(3), pages 333-348, July.
    6. Mou, Naixia & Wang, Chunying & Yang, Tengfei & Ren, Haonan & Zhang, Lingxian & Xu, Huanqing & Liu, Wenbao, 2022. "Spatiotemporal patterns of maritime trade between China and Maritime Silk Road: Evidence from a quantitative study using social network analysis," Journal of Transport Geography, Elsevier, vol. 102(C).

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