State of the Art on Artificial Intelligence in Land Use Simulation-Reference-Cited by-同舟云学术

State of the Art on Artificial Intelligence in Land Use Simulation

Published:2022-06-26 Issue: Volume:2022 Page:1-19
ISSN:1099-0526
Container-title:Complexity
language:en
Short-container-title:Complexity

Author:

Castro M. Luz¹²^ORCID,Machado Penousal³^ORCID,Santos Iria¹⁴^ORCID,Rodriguez-Fernandez Nereida¹²^ORCID,Torrente-Patiño Alvaro¹⁴^ORCID,Carballal Adrian¹⁴^ORCID

Affiliation:

1. CITIC-Research Center of Information and Communication Technologies, University of A Coruña, A Coruña, Spain

2. Department of Computer Science and Information Technologies, Faculty of Communication Science, University of A Coruña, A Coruña, Spain

3. CISUC, Department of Informatics Engineering University of Coimbra, Coimbra, Portugal

4. Department of Computer Science and Information Technologies, Faculty of Computer Science, University of A Coruña, A Coruña, Spain

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.

Funder

Xunta de Galicia

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Link

http://downloads.hindawi.com/journals/complexity/2022/2291508.pdf

Reference108 articles.

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