Modeling Population Dynamics in the City: from a Regional to a Multi-Agent Approach

The paper reviews different approaches to urban population from the point of view of the theory of complex systems. Regional models deal with large numbers of urban regions involved in exchanging population and resources among themselves. In contrast, ecological models deal with several qualitatively different types of relationships between a small number of components, aimed at understanding the most general laws of urban dynamic. Two relatively new approaches, namely Cellular Automata and multi-agent ones describe the macro-processes resulting from uniform collective processes at the micro-level of land parcels and migrating city individuals. Recent results of the multi-agent simulations regarding abstract and real-world systems are presented in more details.

[1]  Guy Engelen.  The theory of self-organization and modelling complex urban systems , 1988 .

[2]  Frank Schweitzer,et al.  Urban Cluster Growth: Analysis and Computer Simulation of Urban Aggregations , 1997 .

[3]  Robert M. Itami,et al.  Simulating spatial dynamics: cellular automata theory , 1994 .

[4]  Fulong Wu.  A linguistic cellular automata simulation approach for sustainable land development in a fast growing region , 1996 .

[5]  Juval Portugali,et al.  Artificial Planning Experience by Means of a Heuristic Cell-Space Model: Simulating International Migration in the Urban Process , 1995 .

[6]  R. Hegselmann.  Social Dilemmas in Lineland and Flatland , 1996 .

[7]  S. Benati.  A Cellular Automaton for the Simulation of Competitive Location , 1997 .

[8]  Roger White,et al.  Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns , 1993 .

[9]  Roger White,et al.  The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .

[10]  Juval Portugali,et al.  Internal vs. External Spatial Information and Cultural Emergence in a Self-Organizing City , 1995, COSIT.

[11]  Juval Portugali,et al.  A Synergetic Approach to the Self-Organization of Cities and Settlements , 1995 .

[12]  Hermann Haken.  Synergetics as a Strategy to Cope with Complex Systems , 1993 .

[13]  Geoffrey J. D. Hewings,et al.  Integrated Urban Models , 1985 .

[14]  M Phipps,et al.  Spatial Dynamics, Cellular Automata, and Parallel Processing Computers , 1997 .

[15]  Juval Portugali,et al.  Agent-Based Simulations of a City Dynamics in a GIS Environment , 1997, COSIT.

[16]  Simon A. Levin,et al.  Stochastic Spatial Models: A User's Guide to Ecological Applications , 1994 .

[17]  Kunihiko Kaneko.  Chaos as a source of complexity and diversity in evolution , 1993 .

[18]  Stanley Lieberson,et al.  An Asymmetrical Approach to Segregation , 1981 .

[19]  G. Rabino,et al.  An Evolutionary Urban Cellular Automata: The Model and Some First Simulations , 1997 .

[20]  P. Maes.  Modeling adaptive autonomous agents , 1993 .

[21]  Michel J. Phipps,et al.  From Local to Global: The Lesson of Cellular Automata , 1992 .

[22]  Michael Batty,et al.  From Cells to Cities , 1994 .

[23]  Michèle Sanglier,et al.  Urban Evolution, Self-Organization, and Decisionmaking , 1981 .

[24]  I. Benenson,et al.  Spatial Cognitive Dissonance and Sociospatial Emergence in a Self-Organizing City , 1997 .

[25]  Roberto Tadei,et al.  Performance indicators for evaluation with a dynamic urban model , 1994 .

[26]  Guy Engelen,et al.  Self-organizing systems and the `laws of socio-economic geography' , 1986 .

[27]  Hélène Mathian,et al.  SIMPOP: A Multiagent System for the Study of Urbanism , 1997 .

[28]  Helen Couclelis,et al.  Cellular Worlds: A Framework for Modeling Micro—Macro Dynamics , 1985 .

[29]  R. Conte,et al.  Introduction: Social Simulation — A New Disciplinary Synthesis , 1997 .

[30]  D. Dendrinos,et al.  Urban evolution : studies in the mathematical ecology of cities , 1985 .

[31]  Luc Anselin,et al.  New directions in regional analysis: Integrated and multi-regional approaches , 1990 .

[32]  Pierre Frankhauser,et al.  La fractalité des structures urbaines , 1994 .

[33]  Michael Sonis,et al.  Chaos and socio-spatial dynamics , 1990 .