State of the Art on Artificial Intelligence in Land Use Simulation

Autor: M. Luz Castro, Penousal Machado, Iria Santos, Nereida Rodriguez-Fernandez, Alvaro Torrente-Patiño, Adrian Carballal
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Complexity, Vol 2022 (2022)
Druh dokumentu: article
ISSN: 1099-0526
DOI: 10.1155/2022/2291508
Popis: 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.
Databáze: Directory of Open Access Journals