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Modeling urban growth patterns with correlated percolation
Open accessAbstract
We propose and test a model that describes the morphology of cities, the scaling of the urban perimeter of individual cities, and the area distribution of systems of cities. The model is also consistent with observable urban growth dynamics, our results agreeing both qualitatively and quantitatively with urban data. The resulting growth morphology can be understood from interactions among the constituent units forming an urban region, and can be modeled using a correlated percolation model in the presence of a gradient.
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Citations
Cited by
Barthélemy, M. (2011) · Physics Reports · doi:10.1016/j.physrep.2010.11.002 · Cited by 2,469
Recent advances in percolation theory and its applications
Saberi, A. A. (2015) · Physics Reports · doi:10.1016/j.physrep.2015.03.003 · Cited by 438
Scaling and universality in the micro-structure of urban space
Carvalho, R., & Penn, A. (2004) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2003.10.024 · Cited by 96
A Complex Network Approach to Urban Growth
Andersson, C., Frenken, K., & Hellervik, A. (2006) · Environment and Planning A: Economy and Space · doi:10.1068/a37418 · Cited by 67
How complexity emerges in urban systems: Theory of urban morphology
Goh, S., Choi, M. Y., Lee, K., & Kim, K.-M. (2016) · Physical Review E · doi:10.1103/physreve.93.052309 · Cited by 28
Metadata
- Authors
- Makse, H. A., Andrade, J. S., Batty, M., Havlin, S., & Stanley, H. E.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 1998-12-01
- Volume
- 58
- Issue
- 6
- Pages
- 7054-7062
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2119143935
- Cited by
- 271
- References
- 0
- FWCI
- 37.86
- Type
- journal article
- Language
- en
- Open access
- green
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- Makse, H. A., Andrade, J. S., Batty, M., Havlin, S., & Stanley, H. E. (1998). Modeling urban growth patterns with correlated percolation. Physical Review E. https://doi.org/10.1103/physreve.58.7054
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.