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Evaluation of residential land use compatibilities using a density-based IOWA operator and an ANFIS-based model: A case study of Tehran, Iran

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  • Pahlavani, Parham
  • Sheikhian, Hossein
  • Bigdeli, Behnaz

Abstract

The world is rapidly urbanized in the recent decades and urban areas are dealing with enormous changes and demands in utilizing the land units. To prevent incongruous land development, a seamless land use control planning tool, impowered by a decision support system is an imperative part of development management. This study focuses on evaluating the suitability of existing land uses through a spatial decision support system. Although the problem involves various criteria as well as expert judgments, we dealt with a multi-criteria group decision making problem. The proposed methodology consists of two main sections: density-based induced ordered weighted averaging (D-IOWA) operator as a group decision making section to combine expert opinions on the problem, and an adaptive neuro-fuzzy resonance system (ANFIS) to define the compatibility of the land uses in their surrounding environment. Expert opinions were aggregated by the D-IOWA operator and the ANFIS model was trained and then applied to the rest of the data to generate the compatibility map of the residential areas. An accuracy of 81%, and a root mean square error of 0.44 were observed. Maximum 15% variation in the outputs was observed in the sensitivity analysis. In addition to the performance measurements of the model, some other models were implemented and compared with the ANFIS model. The comparisons concluded that most of the models provided acceptable accuracies while the ANFIS model acquired the best results and confirmed to be used in similar circumstances. This study confirmed that a multi-criteria decision-making system supported by an accurate classification system can provide a basis for a detailed and accurate distribution of land use across the land unit.

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  • Pahlavani, Parham & Sheikhian, Hossein & Bigdeli, Behnaz, 2020. "Evaluation of residential land use compatibilities using a density-based IOWA operator and an ANFIS-based model: A case study of Tehran, Iran," Land Use Policy, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:lauspo:v:90:y:2020:i:c:s0264837719305356
    DOI: 10.1016/j.landusepol.2019.104364
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    References listed on IDEAS

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    Cited by:

    1. Mostafa Ghadami & Andreas Dittmann & Taher Safarrad, 2020. "Lack of Spatial Approach in Urban Density Policies: The Case of the Master Plan of Tehran," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    2. Keyu Luo & Zhenyu Wang & Wei Sha & Jiansheng Wu & Hongliang Wang & Qingliang Zhu, 2021. "Integrating Sponge City Concept and Neural Network into Land Suitability Assessment: Evidence from a Satellite Town of Shenzhen Metropolitan Area," Land, MDPI, vol. 10(8), pages 1-16, August.

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