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State of the Art on Artificial Intelligence in Land Use Simulation

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Listed:
  • M. Luz Castro
  • Penousal Machado
  • Iria Santos
  • Nereida Rodriguez-Fernandez
  • Alvaro Torrente-Patiño
  • Adrian Carballal

Abstract

This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land‐use predictions. In this review, different articles after the year 2016 are analyzed mostly focusing on those that are not mentioned in earlier publications. Most of the articles analyzed used a combination of Markov chains and cellular automata to predict the growth of urban areas and metropolitan regions. We noticed that most of these simulations were applied in various areas of China. An analysis of the publication of articles in the area over time is included.

Suggested Citation

  • M. Luz Castro & Penousal Machado & Iria Santos & Nereida Rodriguez-Fernandez & Alvaro Torrente-Patiño & Adrian Carballal, 2022. "State of the Art on Artificial Intelligence in Land Use Simulation," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:2291508
    DOI: 10.1155/2022/2291508
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    References listed on IDEAS

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    1. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    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. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    4. Yan Liu & Yongjiu Feng & Robert Gilmore Pontius, 2014. "Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling," Land, MDPI, vol. 3(3), pages 1-20, July.
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