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Fractal Geometry for Measuring and Modelling Urban Patterns

In: The Dynamics of Complex Urban Systems

Author

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  • Pierre Frankhauser

    (Université de Franche-Comté)

Abstract

Urban growth generates nowadays patterns, which look rather irregular. Planning policy regrets the lack of compactness and density of these agglomerations, but controlling urban sprawl turns out to be difficult. Obviously a new type of spatial organisation emerges, which is rather the result of a self-organisation process to which a high number of social agents contribute. In the present contribution we focus on the use of fractal geometry which turned out to be a powerful instrument for describing the morphology of these patterns. After an introduction about the context of research, fractal models are presented, which serve as reference models for better understanding the spatial organisation of settlement patterns. Then the methodology for measuring their morphology by means of fractal parameters is explained. Moreover different peculiar topics are considered like a specific approach of urban boundaries. Then an overview is given over results obtained for a couple of agglomerations in different European countries. The interpretation of these results allows establishing links between urban planning policy and pattern morphology. Applying the idea of self-organisation leads to introducing a fractal order parameter for studying the emergent fractal order in urban patterns. The presentation of these quantitative results will be completed by some reflections about how planning concepts based on fractal geometry may help to manage more efficiently urban sprawl.

Suggested Citation

  • Pierre Frankhauser, 2008. "Fractal Geometry for Measuring and Modelling Urban Patterns," Springer Books, in: Sergio Albeverio & Denise Andrey & Paolo Giordano & Alberto Vancheri (ed.), The Dynamics of Complex Urban Systems, pages 213-243, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-1937-3_11
    DOI: 10.1007/978-3-7908-1937-3_11
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    Citations

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    Cited by:

    1. Karina Andreea Gruia & Razvan-Cătălin Dobrea & Cezar-Petre Simion & Cristina Dima & Alexandra Grecu & Oana Simona Hudea & Marian Marin & Ion Andronache & Daniel Peptenatu, 2019. "The Use of Sholl and Kolmogorov Complexity Analysis in Researching on the Sustainable Development of Creative Economies in the Development Region of Bucharest‒Ilfov, Romania," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    2. Isabelle Thomas & Pierre Frankhauser & Dominique Badariotti, 2012. "Comparing the fractality of European urban neighbourhoods: do national contexts matter?," Journal of Geographical Systems, Springer, vol. 14(2), pages 189-208, April.
    3. Francisco Martinez & Hermann Manriquez & Alberto Ojeda & Gabriel Olea, 2022. "Organization Patterns of Complex River Networks in Chile: A Fractal Morphology," Mathematics, MDPI, vol. 10(11), pages 1-23, May.
    4. Abdullah F. Alqurashi, 2021. "Quantification of Urban Patterns and Processes through Space and Time Using Remote Sensing Data: A Comparative Study between Three Saudi Arabian Cities," Sustainability, MDPI, vol. 13(22), pages 1-22, November.
    5. Yunfei Li & Diego Rybski & Jürgen P. Kropp, 2021. "Singularity cities," Environment and Planning B, , vol. 48(1), pages 43-59, January.
    6. Saeedimoghaddam, Mahmoud & Stepinski, T.F., 2021. "Multiplicative random cascade models of multifractal urban structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    7. Chen, Yanguang, 2022. "Normalizing and classifying shape indexes of cities by ideas from fractals," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).

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