Skip to main content

The Self-Organizing City: An Agent-Based Approach to the Algorithmic Simulation of City-Growth Processes

  • 1020 Accesses

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 279)

Abstract

This paper discusses the suitability of algorithmic-based modeling processes in the development of ad-hoc software for urban planning and urban design. Firstly, it involves the identification and discussion of former city computational models. Secondly, it shows the development of an application that deals with complex urban systems from an urban design point of view, by using an agent-based modeling approach.

Keywords

  • Agent-based modeling
  • City growth simulation
  • Urban design
  • Self-organization
  • Complexity
  • Emergent behavior

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-54927-4_38
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   299.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-54927-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   379.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Batty M (2007) Cities and complexity: understanding cities with cellular automata, agent-based models, and fractals. MIT Press, Cambridge

    Google Scholar 

  2. CityGen, RolePlaying City Map Generator. http://citygen.crystalballsoft.com/

  3. Open City, Suicidator. 3D City Generator for Blender. http://cgchan.com/suicidator/

  4. Portugali J (2000) Self-organization and the city. Springer, Berlin

    Google Scholar 

  5. Mitchell WJ (2000) E-topia. MIT Press, Cambridge

    Google Scholar 

  6. Nicolis G, Prigogine I (1977) Self-organization in nonequilibrium systems: from dissipative structures to order through fluctuations. Wiley, New York

    Google Scholar 

  7. Gupta A (2009) Insights from complexity theory: understanding organizations better. http://tejas.iimb.ac.in/articles/12.php

  8. Easterling K (2007) Enduring innocence: global architecture and its political masquerades. MIT Press, Cambridge

    Google Scholar 

  9. Alexander C (1964) Notes on the synthesis of form. Harvard University Press, Cambridge

    Google Scholar 

  10. Snooks R (2007) Observations on the algorithmic emergence of character, models. 306090 Books, vol 11, Princeton Architectural Press, New York, p 96

    Google Scholar 

Download references

Acknowledgments

This work has been supported by the project SociAAL (TIN2011-28335-C02-01), funded by the Spanish Ministry for Economy and Competitiveness.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan Pavón .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nadal, A., Pavón, J. (2014). The Self-Organizing City: An Agent-Based Approach to the Algorithmic Simulation of City-Growth Processes. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54927-4_38

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)