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Network Analysis of Commuting Flows: A Comparative Static Approach to German Data


  • Roberto Patuelli


  • Aura Reggiani


  • Sean Gorman


  • Peter Nijkamp


  • Franz-Josef Bade



The analysis of complex networks has recently received considerable attention. The work by Albert and Barabási presented a research challenge to network analysis, that is, growth of the network. The present paper offers a network analysis of the spatial commuting network in Germany. First, we study the spatial evolution of the commuting network over time. Secondly, we compare two spatial interaction model (SIM) specifications, in order to replicate the actual network structure. Our findings suggest that the commuting network appeared to become more dense and clustered, while the SIMs seem to require more sophisticated specifications, in order to replicate such a connectivity structure. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Roberto Patuelli & Aura Reggiani & Sean Gorman & Peter Nijkamp & Franz-Josef Bade, 2007. "Network Analysis of Commuting Flows: A Comparative Static Approach to German Data," Networks and Spatial Economics, Springer, vol. 7(4), pages 315-331, December.
  • Handle: RePEc:kap:netspa:v:7:y:2007:i:4:p:315-331
    DOI: 10.1007/s11067-007-9027-6

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    References listed on IDEAS

    1. Wojahn, Oliver W., 2001. "Airline network structure and the gravity model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 267-279, August.
    2. Kang-Rae Ma & David Banister, 2007. "Urban spatial change and excess commuting," Environment and Planning A, Pion Ltd, London, vol. 39(3), pages 630-646, March.
    3. Börje Johansson & Johan Klaesson & Michael Olsson, 2003. "Commuters’ non-linear response to time distances," Journal of Geographical Systems, Springer, vol. 5(3), pages 315-329, November.
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    Cited by:

    1. 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.
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. Sheu Chen, 2010. "A Heuristic Algorithm for Hierarchical Hub-and-spoke Network of Time-definite Common Carrier Operation Planning Problem," Networks and Spatial Economics, Springer, vol. 10(4), pages 509-523, December.
    4. Pálóczi, Gábor, 2016. "Researching commuting to work using the methods of complex network analysis," MPRA Paper 74496, University Library of Munich, Germany.
    5. Daniel Griffith & Yongwan Chun, 2015. "Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability," Networks and Spatial Economics, Springer, vol. 15(2), pages 337-365, June.
    6. Emmanouil Tranos & Aura Reggiani & Peter Nijkamp, 2013. "Accessibility of Cities in the Digital Economy," Tinbergen Institute Discussion Papers 13-160/VIII, Tinbergen Institute.
    7. Emmanouil Tranos & Peter Nijkamp, 2013. "The Death Of Distance Revisited: Cyber-Place, Physical And Relational Proximities," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 855-873, December.
    8. D. Alexakis & A. Agapiou & M. Tzouvaras & K. Themistocleous & K. Neocleous & S. Michaelides & D. Hadjimitsis, 2014. "Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus," 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. 72(1), pages 119-141, May.
    9. Emmanouil Tranos & Peter Nijkamp, 2014. "Digital infrastructure and physical proximity," Chapters,in: Regional Development and Proximity Relations, chapter 8, pages 267-290 Edward Elgar Publishing.
    10. Yang, Chunxia & Tang, Minxuan & Cao, Yongjian & Chen, Yanhua & Deng, Qiangqiang, 2015. "The study on variation of influential regions in China from a perspective of asymmetry economic information flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 180-187.
    11. Javier Barbero & José L. Zofío, 2016. "The Multiregional Core-periphery Model: The Role of the Spatial Topology," Networks and Spatial Economics, Springer, vol. 16(2), pages 469-496, June.
    12. Mohamed Mekki Ben Jemaa, 2016. "Economic, Political and Cultural Proximity and Growth Propagation: A Network Model with Endogenous Proximity Matrix," Working Papers 1047, Economic Research Forum, revised 09 Jan 2016.
    13. 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.
    14. Floriana Gargiulo & Maxime Lenormand & Sylvie Huet & Omar Baqueiro Espinosa, 2012. "Commuting Network Models: Getting the Essentials," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-6.
    15. Andrea Montis & Simone Caschili & Alessandro Chessa, 2011. "Time evolution of complex networks: commuting systems in insular Italy," Journal of Geographical Systems, Springer, vol. 13(1), pages 49-65, March.
    16. Giuseppe Bruno & Andrea Genovese, 2012. "A Spatial Interaction Model for the Representation of the Mobility of University Students on the Italian Territory," Networks and Spatial Economics, Springer, vol. 12(1), pages 41-57, March.
    17. De Montis, Andrea & Chessa, Alessandro & Campagna, Michele & Caschili, Simone & Deplano, Giancarlo, 2010. "Modeling commuting systems through a complex network analysis: A study of the Italian islands of Sardinia and Sicily," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 39-55.


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