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Commuting Network Models: Getting the Essentials

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  • Floriana Gargiulo

    ()

  • Maxime Lenormand

    ()

  • Sylvie Huet

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  • Omar Baqueiro Espinosa

    ()

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    Abstract

    Human mobility and, in particular, commuting patterns have a fundamental role in understanding socio-economic systems. Analysing and modelling the networks formed by commuters, for example, has become a crucial requirement in studying rural areas dynamics and to help decision-making. This paper presents a simple spatial interaction commuting model with only one parameter. The proposed algorithm considers each individual who wants to commute, starting from their residence to all the possible workplaces. The algorithm decides the location of the workplace following the classical rule inspired from the gravity law consisting of a compromise between the job offers and the distance to the job. The further away the job is, the more important the offer should be to be considered for the decision. Inversely, the quantity of offers is not important for the decision when these offers are close by. The presented model provides a simple, yet powerful approach to simulate realistic distributions of commuters for empirical studies with limited data availability. The paper also presents a comparative analysis of the structure of the commuting networks of the four European regions to which we apply our model. The model is calibrated and validated on these regions. The results from the analysis show that the model is very efficient in reproducing most of the statistical properties of the network given by the data sources.

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    File URL: http://jasss.soc.surrey.ac.uk/15/2/6/6.pdf
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 15 (2012)
    Issue (Month): 2 ()
    Pages: 6

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    Handle: RePEc:jas:jasssj:2011-12-3

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    Related research

    Keywords: Commuting Patterns; Network Generation Models; Individual Based Models; Stochastic Models;

    References

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    1. 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, Springer, vol. 7(4), pages 315-331, December.
    2. Jacob J. de Vries & Peter Nijkamp & Piet Rietveld, 2004. "Exponential or Power Distance-decay for Commuting? An Alternative Specification," Tinbergen Institute Discussion Papers 04-097/3, Tinbergen Institute.
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    Cited by:
    1. Lenormand, Maxime & Huet, Sylvie & Gargiulo, Floriana, 2014. "Generating French virtual commuting networks at the municipality level," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 43-55.
    2. Constanza Fosco, 2012. "Spatial Diffusion and Commuting Flows," Documentos de Trabajo en Economia y Ciencia Regional, Universidad Catolica del Norte, Chile, Department of Economics 30, Universidad Catolica del Norte, Chile, Department of Economics, revised Sep 2012.

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