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A Cellular Automata Model Based on Irregular Cells: Application to Small Urban Areas

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  • Nuno Norte Pinto
  • António Pais Antunes

Abstract

We present in this paper the development and application of a cellular automata model that uses irregular cells for simulating land-use change instead of the common regular cells based on the pixels of remote sensing images. The use of irregular cells combines urban form with reliable demographic, socioeconomic, and building data that are usually available for irregular census blocks. The calibration of the model is made through a procedure based on a particle swarm algorithm that optimises a measure of agreement derived from the kappa index for contingency matrices. The model was applied for simulating urban change in a small municipality in Portugal that registered high growth rates during the 1990s. Simulation results indicate the model's ability to capture land-use change in small urban areas.

Suggested Citation

  • Nuno Norte Pinto & António Pais Antunes, 2010. "A Cellular Automata Model Based on Irregular Cells: Application to Small Urban Areas," Environment and Planning B, , vol. 37(6), pages 1095-1114, December.
    • Handle: RePEc:sae:envirb:v:37:y:2010:i:6:p:1095-1114
    DOI: 10.1068/b36033
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    References listed on IDEAS

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    1. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    2. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    3. Cohen, Barney, 2004. "Urban Growth in Developing Countries: A Review of Current Trends and a Caution Regarding Existing Forecasts," World Development, Elsevier, vol. 32(1), pages 23-51, January.
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    1. Jing Yang & Feng Shi & Yizhong Sun & Jie Zhu, 2019. "A Cellular Automata Model Constrained by Spatiotemporal Heterogeneity of the Urban Development Strategy for Simulating Land-use Change: A Case Study in Nanjing City, China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.

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