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The Socio-Spatial Dynamics of Systems of Cities and Innovation Processes: a Multi-Level Model

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The Dynamics of Complex Urban Systems

Abstract

Following a first attempt presented as the SIMPOP model (a multi-agents systems whose prototype is described in Bura et al. 1996), our aim is to develop a generic model for simulating the evolution of systems of towns and cities, using the SWARM simulation platform. The scientific issue is: to understand how cities that are interconnected through material and immaterial networks co-evolve, within an environment where social and economic innovation continuously emerge, while maintaining at a macro-geographical scale functional, hierarchic and spatial differentiation which evolve at a much slower pace.

The SIMPOP2 model is designed for testing hypothesis about the general processes of urbanisation and interactions between towns and cities. The objective is to identify and order the rules and parameters that have produced a variety of configuration at the level of the systems of cities, according mainly to the changing conditions of spatial interaction: communication means, transportation speed, range of trading activities, proximity networks and long distance connectivity. Three main varieties of urban systems that have had different histories of urbanisation and conditions of circulation will be investigated: developed countries with old settlement systems, developed countries of much more recent urbanisation, and developing countries. A first generic version of the model includes the minimal rules that seem necessary for reproducing the emergence and evolution of any system of cities, whereas three different scenarios will be constructed for simulating the characteristic features of the three main variations.

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References

  • Allen P (1991) Spatial models of evolutionary systems. In: Pumain D (ed) Spatial analysis and population dynamics. John Libbey-INED, Congresses and Colloquia 6, Paris

    Google Scholar 

  • Allen P (1997) Cities and regions as self-organizing systems: models of complexity. Gordon and Breach, Amsterdam

    Google Scholar 

  • Allen P, Sanglier M (1979) A dynamic model of growth in a central place system. Geographical Analysis 2: 256–272

    Google Scholar 

  • Andersson C, Hellervik A, Lindgren K, Hagson A, Tornberg J (2003) The urban economy as a scale-free network. ArXiv.cond-mat/030355 v2

    Google Scholar 

  • Anderson P, Arrow K, Pines D (eds) (1988) The Economy as an Evolving Complex system. Addison Wesley, Redwood City

    Google Scholar 

  • Atlan H (1979) Entre le cristal et la fumée. Seuil, Paris

    Google Scholar 

  • Arthur BW (1994) Increasing returns and path dependency in the economy. Michigan University Press

    Google Scholar 

  • Arthur WB, Durlauf S, Lane D (eds) (1997) The Economy as an Evolving Complex System II. Addison Wesley, Redwood City

    Google Scholar 

  • Axtell RL, Florida R (2000) Emergent cities: a microeconomic explanation of Zip’s Law. Center on Social andd Economic Dynamics, Working Paper, The Brookings Institution

    Google Scholar 

  • Batty M, Torrens PM (2001) Modelling complexity. The limits to prediction. Cybergeo 201: 24

    Google Scholar 

  • Berry BJL (1964) Cities as systems within systems of cities. Papers and Proceedings of the Regional Science Association 13: 147–163

    Article  Google Scholar 

  • Bretagnolle A (1999) Espace et temps dans l’évolution d’un système de villes. PhD Thesis, University of Paris I, France

    Google Scholar 

  • Bretagnolle A, Mathian H, Pumain D, Rozenblat C (2000) Long-term dynamics of European towns and cities: towards a spatial model of urban growth. Cybergeo 131: 17

    Google Scholar 

  • Bretagnolle A, Paulus F, Pumain D (2002) Time and space scales for measuring urban growth. Cybergeo 219

    Google Scholar 

  • Bura S, Guerin-Pace F, Mathian H, Pumain D, Sanders L (1996), Multi-agents systems and the dynamics of a settlement system. Geographical Analysis 28,2: 161–178

    Article  Google Scholar 

  • Casti JL (1997) Would-be worlds. John Wiley, Chichester

    Google Scholar 

  • Casti JL, Swain H (1975) Catastrophe Theory and Urban processes. Optimization Techniques 1975: 388–406

    Google Scholar 

  • Clarke GP (ed) (1996) Microsimulation for Urban and Regional Policy Analysis. Pion, London

    Google Scholar 

  • Drogoul A, Ferber J (1994) Multi-agent simulation as a tool for studying emergent processes in societies. In: N Gilbert, JE Doran (eds) Simulating societies: the computer simulation of social phenomena. University of London College Press, London, pp 127–142

    Google Scholar 

  • Durlauf SN (2003) Complexity and empirical economics. Santa Fe Institute, Working Paper 03-02-013

    Google Scholar 

  • Epstein JM, Axtell R (1996) Growing Artificial Societies: Social science from the Bottom Up. MIT Press, Cambridge, MA

    Google Scholar 

  • Ferber J (1995) Les systèmes multi-agents: vers une intelligence collective. InterEditions

    Google Scholar 

  • Fujita M, Krugman P, Mori T (1994) On the evolution of hierarchical urban systems. North American meeting of the Regional Science Association, Niagara Falls.

    Google Scholar 

  • Fujita M, Krugman P, Venables AJ (1999) The Spatial Economy. MIT Press, Cambridge, MA

    Google Scholar 

  • Hägerstrand T (1952) The propagation of Innovation waves. Lund Studies in Geography B 4

    Google Scholar 

  • Haken H (1977) Synergetics — An introduction; Non equilibrium Phase Transitions and Self-organisation in Physics, Chemistry and Biology. Springer, Berlin

    Google Scholar 

  • Holm E, Sanders L (2001) Modèles spatiaux de micro-simulation. In: Sanders L (ed) Modèles en analyse spatiale. Hermès, Paris, pp 187–217

    Google Scholar 

  • Hubermann BA (ed.) (1988) The ecology of computation. Elsevier, North Holland

    Google Scholar 

  • Langton CG (1988) Artificial Life. Addison-Wesley, Reading, MA

    Google Scholar 

  • Lesourne J, Orléan A (eds) (1998) Advances in self-organization and evolutionary economics. Economica, Paris

    Google Scholar 

  • Lewontin RC (2003) Four Complications in Understanding the Evolutionary Process. Santa Fe Institute Bulletin 18:1: 17–23.

    Google Scholar 

  • Livet P (1983) La fascination de l’auto-organisation. In: Dumouchel P, Dupuy J-P (eds) op.cité, pp 165–171

    Google Scholar 

  • McKinnon D, Cumbers A, Chapman K (2003) Learning, innovation and regional development: a critical appraisal of recent debates. Progress in Human Geography 2: 293–311

    Google Scholar 

  • Page SE (1998) On the emergence of cities. Santa Fe Institute, Working Paper 98-08-075

    Google Scholar 

  • Page M, Parisel C, Pumain D, Sanders L (2001) Knowledge-based simulation of settlement systems. Computers, Environment and Urban Systems 25:2: 167–193

    Article  Google Scholar 

  • Prigogine I (1996) La fin des certitudes. Odile Jacob, Paris

    Google Scholar 

  • Pumain D (1998) Urban Research and Complexity. In: Bertuglia CS, Bianchi G, Mela A (eds) The City and its Sciences. Physica Verlag, Heidelberg, pp 323–362

    Google Scholar 

  • Pumain D (2000) Settlement systems in the evolution. Geografiska Annaler 82B:2: 73–87

    Article  Google Scholar 

  • Pumain D (2003) Une approche de la complexité en géographie. Géocarrefour

    Google Scholar 

  • Pumain D (ed) (2005) Hierarchy in natural and social sciences. Kluwer, Dordrecht

    Google Scholar 

  • Pumain D, Racine JB (1999) L’homo geographicus: de l’emprunt à l’empreinte. Revue européenne des sciences sociales 113: 77–86

    Google Scholar 

  • Robic MC (1982) Cent ans avant Christaller: une théorie des lieux centraux. L’Espace Géographique 11: 5–12

    Google Scholar 

  • Robson B (1973) Urban growth, an approach. Methuen, London

    Google Scholar 

  • Sanders L (1992) Système de villes et synergétique. Anthropos, Paris

    Google Scholar 

  • Sanders L, Pumain D, Mathian H, Guérin-Pace F, Bura S (1997) SIMPOP, a multi-agents system for the study of urbanism. Environment and Planning B 24: 287–305

    Article  Google Scholar 

  • Schweitzer F (1998) Oekonomische Geographie: Raümliche Selbstorganisation in der Standortverteilung In: F Schweitzer, G Silverberg (eds) Evolution und Selbstorganisation in der Oekonomie. Duncker & Humbolt, Berlin, pp 97–125

    Google Scholar 

  • Taylor PJ (1997) Hierarchical tendencies amongst word cities. Cities 14:6: 323–332

    Article  Google Scholar 

  • Tesfatsion L (2002) Agent-Based Computational Economics: Growing Economies from the Bottom Up. Artificial Life 8:1: 55–82

    Article  Google Scholar 

  • Weidlich W (2000) Sociodynamics. Taylor and Francis, London

    Google Scholar 

  • Weidlich W, Haag G (1988) Interregional migration — Dynamic Theory and Comparative Analysis. Springer, Berlin

    Google Scholar 

  • Wilson A (1980) Catastrophe theory and bifurcation. Croom Helm, London

    Google Scholar 

  • Wolfram S (1994) Cellular automata and complexity. Addison-Wesley, Reading, MA

    Google Scholar 

  • Zelinski W (1971) The Hypothesis of the Mobility Transition. Geographical review 61:2: 219–249

    Article  Google Scholar 

Download references

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Pumain, D. (2008). The Socio-Spatial Dynamics of Systems of Cities and Innovation Processes: a Multi-Level Model. In: Albeverio, S., Andrey, D., Giordano, P., Vancheri, A. (eds) The Dynamics of Complex Urban Systems. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1937-3_18

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