Proceedings of the 5th Borneo International Conference (BICAME 2024): Symposium on Digital Innovation, Sustainable Design and Planning (DSP)

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Land Use Change By Cellular Automata (CA) – Markov Method

Authors
Arief Hidayat1, *, Umar Mustofa1, Wardhan Wardhan2
1Department of Urban and Regional Planning, Institut Teknologi Kalimantan, Balikpapan, Indonesia
2Department of Urban and Regional Planning, UIN Alauddin, Makassar, Indonesia
*Corresponding author. Email: arief.hidayat@lecturer.itk.ac.id
Corresponding Author
Arief Hidayat
Available Online 24 December 2024.
DOI
10.2991/978-2-38476-329-0_5How to use a DOI?
Keywords
Landuse; Markov; Cellular Automata
Abstract

This study examines the simulation of land use changes in transportation node areas, specifically around ports and train stations. The objective is to predict future land use changes in these regions. Several interrelated analytical methods are employed to address the research questions. These include supervised classification analysis using Landsat 8 imagery, overlay analysis to identify land use changes over the past eight years, and prediction of land-use discrepancies in comparison to the Barru Regency spatial plan (RTRW). Additionally, the study uses Cellular Automata (CA)-Markov and artificial neural networks (ANN) methods to forecast land use changes over the next 20 years. The analysis of land changes in transportation node areas provides data on land use before and after the development of these nodes over the past two decades. The results show significant changes, particularly in residential land use, which has increased by 770.51 hectares over the last 20 years. Based on these findings, the study predicts land use changes for the next 20 years, with the total built-up area projected to reach approximately 1,183.75 hectares.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th Borneo International Conference (BICAME 2024): Symposium on Digital Innovation, Sustainable Design and Planning (DSP)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 December 2024
ISBN
978-2-38476-329-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-329-0_5How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Arief Hidayat
AU  - Umar Mustofa
AU  - Wardhan Wardhan
PY  - 2024
DA  - 2024/12/24
TI  - Land Use Change By Cellular Automata (CA) – Markov Method
BT  - Proceedings of the 5th Borneo International Conference (BICAME 2024): Symposium on Digital Innovation, Sustainable Design and Planning (DSP)
PB  - Atlantis Press
SP  - 45
EP  - 58
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-329-0_5
DO  - 10.2991/978-2-38476-329-0_5
ID  - Hidayat2024
ER  -