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The evolution of the commuting network in Germany: Spatial and connectivity patterns

Author

Listed:
  • Patuelli, Roberto

    (University of Lugano and The Rimini Centre for Economic Analysis, Switzerland; Netherlands)

  • Reggiani, Aura

    (University of Bologna; Italy)

  • Nijkamp, Peter

    (VU University Amsterdam; Netherlands)

  • Bade, Franz-Josef

    (University of Dortmund; Germany)

Abstract

The analysis of the structure and evolution of complex networks has recently received considerable attention. Although research on networks originated in mathematical studies dating back to the nineteenth century (or earlier), and developed further in the mid-twentieth century with contributions to graph theory, interest in its application to the social sciences is currently growing---particularly in regional science and transportation, because of the spatial relevance of networks. This paper presents a dynamic outlook for the German commuting network from the perspective of the German labor market districts. The focus of this paper is to explore how the German commuting network evolves, from two perspectives: space and connectivity. We consider home-to-work commuters moving between 439 German districts for the years 1995 and 2005. The results of the present analysis make it possible to identify, among the main German districts, the most “open” and connected ones. These emerging districts can be considered as potential “hubs” in the German commuting system---that is, as attractors from the perspective of spatial economics, and as interconnectors from the perspective of networking.

Suggested Citation

  • Patuelli, Roberto & Reggiani, Aura & Nijkamp, Peter & Bade, Franz-Josef, 2010. "The evolution of the commuting network in Germany: Spatial and connectivity patterns," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 5-37.
  • Handle: RePEc:ris:jtralu:0037
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    References listed on IDEAS

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    Cited by:

    1. Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2015. "Street network structure and household activity spaces," Urban Studies, Urban Studies Journal Limited, vol. 52(6), pages 1090-1112, May.
    2. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, vol. 11(4), pages 621-641, December.
    3. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    4. Zhu, Guohun & Corcoran, Jonathan & Shyy, Paul & Pileggi, Salvatore Flavio & Hunter, Jane, 2018. "Analysing journey-to-work data using complex networks," Journal of Transport Geography, Elsevier, vol. 66(C), pages 65-79.
    5. Mengying Cui & David Levinson, 2015. "Accessibility and the Ring of Unreliability," Working Papers 000133, University of Minnesota: Nexus Research Group.
    6. Kok, Suzanne, 2014. "Town and city jobs: How your job is different in another location," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 58-67.
    7. Parthasarathi, Pavithra, 2014. "Network structure and metropolitan mobility," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 153-168.
    8. Piliuk, Anastasiia & Semerikova, Elena & Nastansky, Andreas, 2023. "Determinants of commuting flows in Germany," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 99-127.

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    More about this item

    Keywords

    complex networks; commuting; evolution; dynamics; German districts;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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