Eden - Stochastic Urban Cellular Model

 

Eden is a celular automata based urban simulation models that may be used as urban laboratory to explore various interesting ideas of urban policies about how city work and change over time. An urban cellular model that is a simplified form of a city, in which the focus is on the physical development of city blocks. The city model is based on the biological cell growth analog to stochastic growth Eden simulation (Murray Eden, 1961) that has been proposed for bacterial colonies. Eden model is a simple aggregation model in which a new black cell is added at each step at a randomly chosen position adjacent to the existing cluster of black cells. Various interesting urban policy can be analyzed and predicted through the means of simulation. Those policies will help the city government to examine the impact of their policy of development toward urban pattern such as influence of development restriction zones, incentive of development that can guide the urban pattern.

 

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Eden Urban Cellular Model Version 0.1 release 1 is now available for download.

 

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References

  1. Batty, M. (1991) “Cities as Fractals: Simulating Growth and Form”, in Fractals and Chaos , Crilly A.J., Earnshaw, R.A. and Jones, H. (eds), Springer-Verlag, New York, p 43-69.
  2. Clarke, K.C., Hoppen, S. and Gaydos, L. (1997), “A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San-Francisco Bay Area” Environment and Planning B: Planning and Design 24 , p. 247-261.
  3. Eden, M. (1961) “A Two-Dimensional Growth Process” in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume IV: Biology and Problems of Health edited by J. Neyman (University of California Press, Berkeley), pp. 223-239.
  4. Teknomo, K., Gerilla, G. P. and Hokao, K. (2006) Stochastic Cellular Model for Lowland Urban Development, Lowland Technology International Journal Volume 8 Number 1, June 2006, pp. 1-10.
  5. Teknomo, K.; Gerilla, G. P.; Hokao, K., (2004) Cellular Urban Descriptor for Lowland Urban Model, Proceedings of International Symposium of Lowland Technology (ISLT), Bangkok, September 2004, pp. 297-302.
  6. Teknomo, K; Gerilla,G. P.; Hokao, K.; Benguigui, G. (2005), Unconstrained City Development using the Extension of Stochastic Eden Simulation, Lowland Technology International Journal, Vol 7 no 1, p. 23-31.
  7. Wolfram, S. (2002) A New Kind of Science, Wolfram Media, Inc.