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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
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
Allen P (1997) Cities and regions as self-organizing systems: models of complexity. Gordon and Breach, Amsterdam
Allen P, Sanglier M (1979) A dynamic model of growth in a central place system. Geographical Analysis 2: 256–272
Andersson C, Hellervik A, Lindgren K, Hagson A, Tornberg J (2003) The urban economy as a scale-free network. ArXiv.cond-mat/030355 v2
Anderson P, Arrow K, Pines D (eds) (1988) The Economy as an Evolving Complex system. Addison Wesley, Redwood City
Atlan H (1979) Entre le cristal et la fumée. Seuil, Paris
Arthur BW (1994) Increasing returns and path dependency in the economy. Michigan University Press
Arthur WB, Durlauf S, Lane D (eds) (1997) The Economy as an Evolving Complex System II. Addison Wesley, Redwood City
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
Batty M, Torrens PM (2001) Modelling complexity. The limits to prediction. Cybergeo 201: 24
Berry BJL (1964) Cities as systems within systems of cities. Papers and Proceedings of the Regional Science Association 13: 147–163
Bretagnolle A (1999) Espace et temps dans l’évolution d’un système de villes. PhD Thesis, University of Paris I, France
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
Bretagnolle A, Paulus F, Pumain D (2002) Time and space scales for measuring urban growth. Cybergeo 219
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
Casti JL (1997) Would-be worlds. John Wiley, Chichester
Casti JL, Swain H (1975) Catastrophe Theory and Urban processes. Optimization Techniques 1975: 388–406
Clarke GP (ed) (1996) Microsimulation for Urban and Regional Policy Analysis. Pion, London
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
Durlauf SN (2003) Complexity and empirical economics. Santa Fe Institute, Working Paper 03-02-013
Epstein JM, Axtell R (1996) Growing Artificial Societies: Social science from the Bottom Up. MIT Press, Cambridge, MA
Ferber J (1995) Les systèmes multi-agents: vers une intelligence collective. InterEditions
Fujita M, Krugman P, Mori T (1994) On the evolution of hierarchical urban systems. North American meeting of the Regional Science Association, Niagara Falls.
Fujita M, Krugman P, Venables AJ (1999) The Spatial Economy. MIT Press, Cambridge, MA
Hägerstrand T (1952) The propagation of Innovation waves. Lund Studies in Geography B 4
Haken H (1977) Synergetics — An introduction; Non equilibrium Phase Transitions and Self-organisation in Physics, Chemistry and Biology. Springer, Berlin
Holm E, Sanders L (2001) Modèles spatiaux de micro-simulation. In: Sanders L (ed) Modèles en analyse spatiale. Hermès, Paris, pp 187–217
Hubermann BA (ed.) (1988) The ecology of computation. Elsevier, North Holland
Langton CG (1988) Artificial Life. Addison-Wesley, Reading, MA
Lesourne J, Orléan A (eds) (1998) Advances in self-organization and evolutionary economics. Economica, Paris
Lewontin RC (2003) Four Complications in Understanding the Evolutionary Process. Santa Fe Institute Bulletin 18:1: 17–23.
Livet P (1983) La fascination de l’auto-organisation. In: Dumouchel P, Dupuy J-P (eds) op.cité, pp 165–171
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
Page SE (1998) On the emergence of cities. Santa Fe Institute, Working Paper 98-08-075
Page M, Parisel C, Pumain D, Sanders L (2001) Knowledge-based simulation of settlement systems. Computers, Environment and Urban Systems 25:2: 167–193
Prigogine I (1996) La fin des certitudes. Odile Jacob, Paris
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
Pumain D (2000) Settlement systems in the evolution. Geografiska Annaler 82B:2: 73–87
Pumain D (2003) Une approche de la complexité en géographie. Géocarrefour
Pumain D (ed) (2005) Hierarchy in natural and social sciences. Kluwer, Dordrecht
Pumain D, Racine JB (1999) L’homo geographicus: de l’emprunt à l’empreinte. Revue européenne des sciences sociales 113: 77–86
Robic MC (1982) Cent ans avant Christaller: une théorie des lieux centraux. L’Espace Géographique 11: 5–12
Robson B (1973) Urban growth, an approach. Methuen, London
Sanders L (1992) Système de villes et synergétique. Anthropos, Paris
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
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
Taylor PJ (1997) Hierarchical tendencies amongst word cities. Cities 14:6: 323–332
Tesfatsion L (2002) Agent-Based Computational Economics: Growing Economies from the Bottom Up. Artificial Life 8:1: 55–82
Weidlich W (2000) Sociodynamics. Taylor and Francis, London
Weidlich W, Haag G (1988) Interregional migration — Dynamic Theory and Comparative Analysis. Springer, Berlin
Wilson A (1980) Catastrophe theory and bifurcation. Croom Helm, London
Wolfram S (1994) Cellular automata and complexity. Addison-Wesley, Reading, MA
Zelinski W (1971) The Hypothesis of the Mobility Transition. Geographical review 61:2: 219–249
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Physica-Verlag Heidelberg and Accademia di Architettura, Mendrisio, Switzerland
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1937-3_18
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1936-6
Online ISBN: 978-3-7908-1937-3
eBook Packages: Business and EconomicsEconomics and Finance (R0)