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An Application of Complex Network Theory to German Commuting Patterns

In: Network Science, Nonlinear Science and Infrastructure Systems

Author

Listed:
  • Sean P. Gorman

    (George Mason University)

  • Roberto Patuelli

    (VU University Amsterdam)

  • Aura Reggiani

    (University of Bologna)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Rajendra Kulkarni

    (George Mason University)

  • Günter Haag

    (Steinbeis Transfer Centre Applied System Analysis (STASA))

Abstract

Simulating the structure and evolution of complex networks is an area that has recently received considerable attention. Most of this research has grown out of the physical sciences, but there is growing interest in their application to the social sciences, especially regional science and transportation. This paper presents a network structure simulation experiment utilizing a gravity model to identify interactions embodied in socio-economic processes. In our empirical case, we consider home-to-work commuting patterns among 439 German labour market districts. Specifically, the paper examines first the connectivity distribution of the German commuting network. The paper next develops a spatial interaction model to estimate the structure and flows in the network concerned. The focus of this paper is to examine how well the spatial interaction model replicates the structure of the German commuting network as compared to complex network models. Finally, the structure of the physical German road network is compared to the spatial flows of commuters across it for a tentative supply-demand comparison.

Suggested Citation

  • Sean P. Gorman & Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Rajendra Kulkarni & Günter Haag, 2007. "An Application of Complex Network Theory to German Commuting Patterns," International Series in Operations Research & Management Science, in: Terry L. Friesz (ed.), Network Science, Nonlinear Science and Infrastructure Systems, chapter 0, pages 167-185, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71134-8_8
    DOI: 10.1007/0-387-71134-1_8
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    Citations

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    Cited by:

    1. 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.
    2. Demirel, Hande & Kompil, Mert & Nemry, Françoise, 2015. "A framework to analyze the vulnerability of European road networks due to Sea-Level Rise (SLR) and sea storm surges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 62-76.
    3. McArthur, David Philip & Kleppe, Gisle & Thorsen, Inge & Ubøe, Jan, 2011. "The spatial transferability of parameters in a gravity model of commuting flows," Journal of Transport Geography, Elsevier, vol. 19(4), pages 596-605.
    4. Giovanni Russo & Aura Reggiani & Peter Nijkamp, 2005. "Spatial Activity and Labour Market Patterns," Tinbergen Institute Discussion Papers 05-107/3, Tinbergen Institute.
    5. Chengliang Liu & Qinchang Gui, 2016. "Mapping intellectual structures and dynamics of transport geography research: a scientometric overview from 1982 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 159-184, October.
    6. 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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