The Dynamics of Complex Urban Systems

1. Front Matter

   Pages I-XIX

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2. Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics

   • Michael Batty

   Pages 1-20

3. Complexity: the Integrating Framework for Models of Urban and Regional Systems

   • Peter M. Allen, Mark Strathern, James Baldwin

   Pages 21-41

4. Ontogeny and Ontology in Complex Systems Modeling

   • Claes Andersson

   Pages 43-58

5. A Model for Asystematic Mobility in Urban Space

   • Armando Bazzani, Massimiliano Capriotti, Bruno Giorgini, Giuseppina Melchiorre, Sandro Rambaldi, Graziano Servizi et al.

   Pages 59-73

6. Preliminary Results of a Multi-Agent Traffic Simulation for Berlin

   • Ulrike Beuck, Marcel Rieser, David Strippgen, Michael Balmer, Kai Nagel

   Pages 75-94

7. Hybrid Geographical Models of Urban Spatial Structure and Behaviour

   • Mark Birkin

   Pages 95-109

8. Two Complexities and a Few Models

   • Ivan Blecic, Arnaldo Cecchini, Giuseppe A. Trunfio

   Pages 111-141

9. Cities as Evolutionary Systems in Random Media

   • Leonid Bogachev

   Pages 143-161

10. Grilling the Grid: a Non-Ultimate (Nor Objective) Report on the Configurational Approach to Urban Phenomena

    • Valerio Cutini

    Pages 163-183

11. Validating and Calibrating Integrated Cellular Automata Based Models of Land Use Change

    • Guy Engelen, Roger White

    Pages 185-211

12. Fractal Geometry for Measuring and Modelling Urban Patterns

    • Pierre Frankhauser

    Pages 213-243

13. The Dynamics of Complex Urban Systems: Theory and Application of the STASA-Model within the Scatter Project

    • Günter Haag, Jan Binder

    Pages 245-264

14. Study of Urban Developers’ Behavior in a Game Environment

    • Erez Hatna, Itzhak Benenson

    Pages 265-286

15. Self-Organization and Optimization of Pedestrian and Vehicle Traffic in Urban Environments

    • Dirk Helbing, Anders Johansson, Stefan Lämmer

    Pages 287-309

16. Multidimensional Events in Multilevel Systems

    • Jeffrey Johnson

    Pages 311-334

17. The Simulation of Spatial Change: What Relation Between Knowledge and Modeling? A Proposal and Its Application

    • Silvana Lombardo, Massimiliano Petri

    Pages 335-356

18. A Structural-Cognitive Approach to Urban Simulation Models

    • Juval Portugali

    Pages 357-372

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

    • Denise Pumain

    Pages 373-389

20. The Great Return of Large Scale Urban Models: Revival or “Renaissance”?

    • Giovanni A. Rabino

    Pages 391-407

In recent years it has become increasingly clear that the dynamics of cities can be best captured by looking at them as complex systems governed by many degrees of freedom, interacting on different space and time scales in a non-linear fashion. The evolution of cities is shaped by internal factors, e. g. decisions taken by ins- tutions and individuals, external causes (international economic context) and by social development. The underlying processes can be slow or fast, acting locally or globally. At a different level, both European cities and megacities are magnets for immigrants (e. g. countries, which have major economical and political pr- lems), leading often to phenomena like marginalization or even ghettization and segregation. They are also hotbeds of economic, political and cultural activity, giving rise, among other things, to relocation and conversion of industries, - valuation of land, and development of new services. These phenomena as quali- tive changes, are opposed to purely quantitative growth processes. They are far from being fully understood, nor they are captured in validated and complete - ban models. For most of urban theory hitherto has been based on the assumption of slowly varying spatial and social structures. Only recently, these assumptions have been questioned, giving rise to models employing dissipative dynamics, s- chastic cellular automata and multi-agent models, fractal geometry, and evoluti- ary change models, and to further mathematically oriented approaches.

• China
• complex systems
• innovation
• model
• modeling
• modelling
• ontology
• optimization
• simulation
• landscape/regional and urban planning

From the reviews: “‘The Dynamics of Complex Urban Systems’ is about … new kind of science, and how we might use it to improve our understanding of urban growth and change. … the collection is an excellent combination of model-oriented discussions, relevant data issues and various case studies involving interactions with urban planners. … it provides a collection of starting points for researchers who are seriously interested in applying some of the toolkit of complex systems science to study the possible evolution of urban form.” (David F. Batten, Papers in Regional Science, Vol. 87 (4), November, 2008)

• Institute for Applied Mathematics, University of Bonn, Germany

  Sergio Albeverio

• Accademia di Architettura, Università della Svizzera Italiana, Mendrisio, Switzerland

  Sergio Albeverio, Denise Andrey, Paolo Giordano, Alberto Vancheri

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