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From Cells to Cities
Abstract
Since mathematical models came to be applied to problems of architectural and urban form, new concepts based on predicting large-scale structure from local rules have emerged through insights originating in computation and biology. The clearest of these are computer models based on cellular automata (CA) and their recent generalization in evolutionary biology and artificial life. Here we show how such models can be used to simulate urban growth and form, thus linking our exposition to the longer tradition of ideas in studies of built form emanating from the ‘Cambridge School’. We first review developments of CA in general and then in urban systems in particular. We propose a general class of CA models for urban simulation and illustrate two simple applications, the first a simulation of the development of the historical ‘cell’ city of Savannah, Georgia, the second, a generic hypothetical application. We then show how this generic model can be used to simulate the growth dynamics of a suburban area of a mid-sized North American city, thus illustrating how this approach provides insights into the way microprocesses lead to aggregate development patterns.
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Citations
Cited by
Overview of Land Use Transport Models
Wegener, M. (2004) · Handbook of Transport Geography and Spatial Systems · doi:10.1108/9781615832538-009 · Cited by 522
Li, X., Chen, G., Liu, X., Liang, X., Wang, S., Chen, Y., Pei, F., & Xu, X. (2017) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1303357 · Cited by 389
From Macro to Micro—How Much Micro is too Much?
Wegener, M. (2011) · Transport Reviews · doi:10.1080/01441647.2010.532883 · Cited by 89
Space, Time, and Dynamics Modeling in Historical GIS Databases: A Fuzzy Logic Approach
Dragicevic, S., Marceau, D. J., & Marois, C. (2001) · Environment and Planning B: Planning and Design · doi:10.1068/b2567 · Cited by 30
Metadata
- Authors
- Batty, M., & Xie, Y.
- Venue
- Environment and Planning B: Planning and Design
- Publisher
- SAGE Publications
- Published
- 1994-12
- Volume
- 21
- Issue
- 7
- Pages
- S31-S48
- ISSN
- 0265-8135 (ISSN-L)
- 1472-3417
- OpenAlex
- W2138730910
- Cited by
- 574
- References
- 0
- FWCI
- 27.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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