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Land Suitability of Urban and Industrial Development Using Multi-Criteria Evaluation (MCE) and A New Model by GIS in Fasa County, Iran

Author

Listed:
  • Masoud Masoudi

    (Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University, Shiraz 71441-1331, Iran)

  • Mostafa Aboutalebi

    (Department of Civil Engineering, Payame Noor University, Tehran 19395-3697, Iran)

  • Elham Asrari

    (Department of Civil Engineering, Payame Noor University, Tehran 19395-3697, Iran)

  • Artemi Cerdà

    (Soil Erosion and Degradation Research Group, Department of Geography, Valencia University, 46010 Valencia, Spain)

Abstract

Land use planning is a science that specifies the optimized use of land based on ecological and socioeconomic characteristics. In many parts of Iran, the selection and management of land use (development, especially) is performed regardless of land capability, which causes disinvestment and reduces the environmental capacity. The main objective of this study is to evaluate and reform the ecological model of urban, rural, and industrial development in the study area. This study was conducted in Fasa County in the southern part of Iran, and the investigated methods included Weighted Linear Combination (WLC) or Multi-Criteria Evaluation (MCE), with two views, without limitation and with limitation, and the proposed geometric mean method through the integration of maps in GIS. The results showed that the geometric mean evaluation model (with kappa = 0.69) is the best and easiest compared to other models in the estimation of environmental capability. It should be mentioned that the lowest precision (with kappa = 0.59) between the methods was observed in the MCE method without a limiting factor, and it is clear that the limiting factor has a decisive role in assessing ecological capability and increasing accuracy. It is concluded that the proposed geometric mean method, due to the simplicity and high accuracy of the calculations, has a significant contribution to increasing efficiency and reducing the costs associated with the assessment of ecological capability.

Suggested Citation

  • Masoud Masoudi & Mostafa Aboutalebi & Elham Asrari & Artemi Cerdà, 2023. "Land Suitability of Urban and Industrial Development Using Multi-Criteria Evaluation (MCE) and A New Model by GIS in Fasa County, Iran," Land, MDPI, vol. 12(10), pages 1-13, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:10:p:1898-:d:1256444
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    References listed on IDEAS

    as
    1. Masoud Masoudi & Parviz Jokar, 2022. "Development of a Quantitative Model in Land Use Planning Using GIS: A Case Study of Zarrin Dasht County, Iran," REGION, European Regional Science Association, vol. 9, pages 183-199.
    2. Saskia Keesstra & Jeroen Veraart & Jan Verhagen & Saskia Visser & Marit Kragt & Vincent Linderhof & Wilfred Appelman & Jolanda van den Berg & Ayodeji Deolu-Ajayi & Annemarie Groot, 2023. "Nature-Based Solutions as Building Blocks for the Transition towards Sustainable Climate-Resilient Food Systems," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
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    Cited by:

    1. Lan Qing Zhao & Alysha van Duynhoven & Suzana Dragićević, 2024. "Machine Learning for Criteria Weighting in GIS-Based Multi-Criteria Evaluation: A Case Study of Urban Suitability Analysis," Land, MDPI, vol. 13(8), pages 1-26, August.

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