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A complex network approach to urban growth

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  • Claes Andersson

    ()

  • Koen Frenken

    ()

  • Alexander Hellervik

    ()

Abstract

The economic geography can be viewed as a large and growing network of interacting activities. This fundamental network structure and the large size of such systems makes complex networks an attractive model for its analysis. In this paper we propose the use of complex networks for geographical modeling and demonstrate how such an application can be combined with a cellular model to produce output that is consistent with large scale regularities such as power laws and fractality. Complex networks can provide a stringent framework for growth dynamic modeling where concepts from e.g. spatial interaction models and multiplicative growth models can be combined with the flexible representation of land and behavior found in cellular automata and agent-based models. In addition, there exists a large body of theory for the analysis of complex networks that have direct applications for urban geographic problems. The intended use of such models is twofold: i) to address the problem of how the empirically observed hierarchical structure of settlements can be explained as a stationary property of a stochastic evolutionary process rather than as equilibrium points in a dynamics, and, ii) to improve the prediction quality of applied urban modeling.

Suggested Citation

  • Claes Andersson & Koen Frenken & Alexander Hellervik, 2005. "A complex network approach to urban growth," Papers in Evolutionary Economic Geography (PEEG) 0505, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2005.
  • Handle: RePEc:egu:wpaper:0505
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    File URL: http://econ.geo.uu.nl/peeg/peeg0505.pdf
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    Cited by:

    1. Nijkamp Peter, 2012. "Behaviour of Humans and Behaviour of Models in Dynamic Space," Quaestiones Geographicae, De Gruyter Open, vol. 31(2), pages 7-19, June.
    2. 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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    Keywords

    evolutionary economics; complex networks; urban growth;

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