State of the Art on Artificial Intelligence in Land Use Simulation. (26th June 2022)

• Record Type: Journal Article
• Authors: Castro, M. Luz; Machado, Penousal; Santos, Iria; Rodriguez-Fernandez, Nereida; Torrente-Patiño, Alvaro; Carballal, Adrian
• Other Names: Ma Haitao Academic Editor.
• Is Part Of: Complexity. Volume 2022(2022)
• Publication Date: 2022-06-26
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2022/2291508
• Languages: English
• ISSNs: 1076-2787

Abstract

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.