Modeling (simulation) of Urban Growth in Urban Abha until 2030 Using CA-Markov Model
DOI:
https://doi.org/10.35516/hum.v52i1.4241Keywords:
Urban Growth, Urban Abha, CA-Markov model, Modeling (Simulation)Abstract
Urban growth models are one of the latest modern technologies that are effective in predicting future urban growth and that help planners, and decision-makers in trying to find possible solutions to overcome the problems of expected urban expansion.
Objectives: The study sought to model (simulate) urban growth in urban Abha until 2030 AD. With the aim of producing a digital map of the urban bloc. Through which, the area of the expected urban block can be calculated. Using a built-in Markov model, Based on urban growth maps for the period (1984-2002 AD).
Methods: This study followed a spatial analysis approach to simulate urban growth by classifying land uses for two areas: (built-up free of and urbanization) and the use of the (CA-Markov) model to simulate urban growth, and evaluate the accuracy of classification using the Idrisi Selva program.
Results: The research finds that the land is expected to grow in urban Abha until the year 2030 (120.6 km2) which is 12.8% of the total area of 945.7 km2, which is three times the annual increase Between the years (1984-2020), which covers (3.9) km2.
Conclusion: making the total inhabited area (300.25) km2 forming 31.8% of the total urban area of Abha. The study suggests the need to develop plans for the expected urban growth to reduce its implications
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References
Allen, L. (2003). Modeling and Prediction of Future Urban Growth in the Charleston Region of South Carolina a GIS-based Integrated Approach. Resilience Alliance Inc., Conservation Ecology, 8(2).
Alshwesh, I. (2014). GIS-Based Interaction of Location Allocation Models with Areal Interpolation Techniques. Ph. D. Thesis, University of Leicester .
Li, C. (2014). Monitoring and analysis of urban growth process using Remote Sensing, GIS and Cellular Automata modeling: A case study of Xuzhou city, China, A doctorate dissertation , Faculty of Spatial Planning at TU Dortmund University, Dortmund.
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Copyright (c) 2024 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-01-21
Published 2024-11-14


