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Abstract

A first-time visitor to Paris or Los Angeles, or any other city, is acutely aware that despite some relatively predictable features, cities are highly diverse and elaborately complicated. In terms of land use, residential, industrial, and commercial areas are interspersed with each other at various scales and in a variety of shapes. All cities, with the exception of some planned communities, have this intricate spatial quality, so it would seem to be important. Indeed, recent results in abstract systems theory support this conclusion. Work by Kauffman (1990), Langton (1990) and others suggests that only systems which are sufficiently complex — specifically, only systems that are nearly chaotic — have the ability to evolve. Since evolvability is clearly an essential characteristic of all living systems, including social systems, these results imply that cities must be inherently complex.

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References

  • Allen, P., 1983, Self-Organization and Evolution in Human Systems, (Crosby, R. ed.), Cities and Regions as Nonlinear Decision Systems Westview Press, Boulder, pp. 29–62.

    Google Scholar 

  • Allen, P., G. Engelen, and M. Sanglier, 1984, Self-Organizing Dynamic Models of Human Systems, (Ferhland, E. ed.), Macroscopic to Microscopic Order, Synergetics, vol. 22), Springer, pp. 150–171, Berlin.

    Google Scholar 

  • Allen, P. and M. Sanglier, 1979, A Dynamical Model of Growth in a Central Place System, Geographical Analysis, vol. 11, pp. 256–272.

    Article  Google Scholar 

  • Bak, Per and Chen, Kan, 1989, The Physics of Fractals, Physica D, vol. 38, pp. 5–12.

    Article  Google Scholar 

  • Bak, Per; Chen, Kan; and M. Creutz, 1989, Self-Organized Criticality in the ‘Game of Life. Nature, vol. 342, pp. 780–782.

    Article  Google Scholar 

  • Batty, M., 1991a, Cities as Fractals: Simulating Growth and Form, (A.J. Crilly, et. al. eds.), Fractals and Chaos, Springer-Verlag, pp. 43–69.

    Chapter  Google Scholar 

  • Batty, M., 199lb, Generating Urban Forms from Diffusive Growth, Environment and Planning A, vol. 23, pp.511–544

    Article  Google Scholar 

  • Batty, M., and P. Longley, 1987, Fractal-Based Description of Urban Form, Environment and Planning B, vol. 14, pp. 123–134.

    Article  Google Scholar 

  • Batty, M., P. Longley, and S. Fotheringham, 1989, Urban Growth and Form: Scaling, Fractal Geometry, and Diffusion-Limited Aggregation, Environment and Planning A, vol. 21, pp. 1447–1472.

    Article  Google Scholar 

  • Couclelis, H., 1985, Cellular Worlds: A Framework for Modeling Micro-Macro Dynamics, Environment and Planning A, vol. 17, pp. 585–596.

    Article  Google Scholar 

  • Couclelis, H., 1988, Of Mice and Men: What Rodent Populations Can teach Us About Complex Spatial Dynamics, Environment and Planning A, vol. 20, pp. 99–109.

    Article  Google Scholar 

  • Couclelis, H. 1989, Macrostructure and Microbehavior in a Metropolitan Area, Environment and Planning B vol. 16, pp. 141–154.

    Google Scholar 

  • Engelen, G., 1988, The Theory of Self-organization and Modelling Complex Urban Systems, European Journal of Operational Research, vol. 37, pp. 42–57.

    Article  Google Scholar 

  • Fotheringham, S., M. Batty, and P. Longley, 1989, Diffusion-Limited Aggregation and the Fractal Nature of Urban Growth, Papers of the Regional Science Association, vol. 67, pp. 55–69.

    Article  Google Scholar 

  • Frankhauser, P., 1991, Aspects fractals des structures urbaines, L’Espace Geographique, pp. 45–69

    Google Scholar 

  • Frankhauser, P. and R. Sadler, 1991, Fractal Analysis of Agglomerations, Proceedings of the Second International Colloquium of the Sonderforschungsbereich 230: Naturliche Konstruktionen.

    Google Scholar 

  • Grassberger, P., 1991, La Percolation ou la Geometrie de la Contagion, La Recherche, vol. 22, pp. 640–646.

    Google Scholar 

  • Hillier, W. and J. Hanson, 1984, The Social Logic of Space Cambridge University Press.

    Google Scholar 

  • Jacobs, J., 1961, The Death and Life of Great American Cities, Random House, New York.

    Google Scholar 

  • Kauffman, S.A., 1990, Requirements for Evolvability in Complex Systems: Orderly Dynamics and Frozen Components, Physica D, vol. 42, pp. 135–152.

    Article  Google Scholar 

  • Langton, C., 1990, Computation at the Edge of Chaos: Phase Transitions and Emergent • Computation, Physica D, vol. 42, pp. 12–37.

    Article  Google Scholar 

  • Mandelbrot, B., 1983, The Fractal Geometry of Nature, W. H. Freeman and Co., New York.

    Google Scholar 

  • Markus, M. and B. Hess, 1990, Isotropic Cellular Automaton for Modelling Excitable Media, Nature, vol. 347, pp. 56–58.

    Article  Google Scholar 

  • Passonneau, J. and R. Wurman, 1966, Urban Atlas: 20 American Cities MIT Press

    Google Scholar 

  • Phipps, M., 1989, Dynamical Behaviour of Cellular Automata Under Constraint of Neighbourhood Coherence, Geographical Analysis, vol. 21, pp. 197–215.

    Article  Google Scholar 

  • Pumain, D., T. Saint-Julien, and L. Sanders, 1987, Applications of a Dynamic Urban Model, Geographical Analysis, vol. 19

    Google Scholar 

  • Tobler, W., 1979, Cellular Geography, (S. Gale and G. Olsson, eds.), Philosophy in Geography, pp. 379–386.

    Chapter  Google Scholar 

  • White, R., 1977, Dynamic Central Place Theory: Results of a Simulation Approach, Geographical Analysis, vol. 9, pp. 227–243.

    Article  Google Scholar 

  • White, R., 1978, The Simulation of Central Place Dynamics: Two Sector Systems and the Rank-Size Distribution, Geographical Analysis, vol. 10, pp. 201–208.

    Article  Google Scholar 

  • White, R., 1984, Principles of Simulation in Human Geography, (G. Gaile and C. Wilmott, eds.), Spatial Statistics and Models, D. Reidel, Dordrecht, pp. 384–416.

    Google Scholar 

  • White, R. and G. Engelen, 1992, Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land Use Patterns, Environment and Planning A in press.

    Google Scholar 

  • Wilson, A., 1978, Spatial Interaction and Settlement Structure: Toward an Explicit Central Place Theory, (A. Karqvist, et. al., eds), Spatial Interaction, Theory, and Planning Models, North Holland, Amsterdam, pp. 137–156.

    Google Scholar 

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© 1993 Springer-Verlag Berlin · Heidelberg

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White, R., Engelen, G. (1993). Complex Dynamics and Fractal Urban Form. In: Nijkamp, P., Reggiani, A. (eds) Nonlinear Evolution of Spatial Economic Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78463-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-78463-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78465-1

  • Online ISBN: 978-3-642-78463-7

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