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Urban Development Modeling Using Integrated Fuzzy Systems, Ordered Weighted Averaging (OWA), and Geospatial Techniques

Author

Listed:
  • Neda Ghasemkhani

    (Department of Geography and Urban Planning, Islamic Azad University, 1148963537 Tehran, Iran)

  • Saeideh Sahebi Vayghan

    (Department of Remote Sensing and GIS, Kharazmi University, 1571914911 Tehran, Iran)

  • Abolfazl Abdollahi

    (Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia)

  • Biswajeet Pradhan

    (Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia
    Department of Civil Engineering, Indian Institute of Technology Indore (IITI), Khandwa Road, Simrol, Indore 453552, India)

  • Abdullah Alamri

    (Department of Geology & Geophysics, College of Science, King Saud Univ., P.O. Box 2455, Riyadh 11451, Saudi Arabia)

Abstract

This paper proposes a model to identify the changing of bare grounds into built-up or developed areas. The model is based on the fuzzy system and the Ordered Weighted Averaging (OWA) methods. The proposed model consists of four main sections, which include physical suitability, accessibility, the neighborhood effect, and a calculation of the overall suitability. In the first two parts, physical suitability and accessibility were obtained by defining fuzzy inference systems and applying the required map data associated with each section. However, in order to calculate the neighborhood effect, we used an enrichment factor method and a hybrid method consisting of the enrichment factor with the Few, Half, Most, and Majority quantifiers of the ordered weighted averaging (OWA) method. Finally, the three maps of physical suitability, accessibility, and the neighborhood effect were integrated by the fuzzy system method and the quantifiers of OWA to obtain the overall suitability maps. Then, the areas with high suitability were selected from the overall suitability map to be changed from bare ground into built-up areas. For this purpose, the proposed model was implemented and calibrated in the first period (2004–2010) and was evaluated by being applied to the second period (2010–2016). By comparing the estimated map of changes to the reference data and after the formation of the error matrix, it was determined that the OWA-Majority method has the best estimation compared to those of the other methods. Finally, the total accuracy and the Kappa coefficient for the OWA-Majority method in the second period were 98.98% and 98.98%, respectively, indicating this method’s high accuracy in predicting changes. In addition, the results were compared with those of other studies, which showed the effectiveness of the suggested method for urban development modeling.

Suggested Citation

  • Neda Ghasemkhani & Saeideh Sahebi Vayghan & Abolfazl Abdollahi & Biswajeet Pradhan & Abdullah Alamri, 2020. "Urban Development Modeling Using Integrated Fuzzy Systems, Ordered Weighted Averaging (OWA), and Geospatial Techniques," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:809-:d:311825
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    References listed on IDEAS

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    1. Marco Criado & Antonio Martínez-Graña & Fernando Santos-Francés & Sergio Veleda & Caridad Zazo, 2017. "Multi-Criteria Analyses of Urban Planning for City Expansion: A Case Study of Zamora, Spain," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
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    4. Abolfazl Abdollahi & Biswajeet Pradhan & Nagesh Shukla, 2019. "Extraction of road features from UAV images using a novel level set segmentation approach," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(3), pages 391-405, July.
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    Cited by:

    1. Hyung-Sup Jung & Saro Lee & Biswajeet Pradhan, 2020. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations," Sustainability, MDPI, vol. 12(6), pages 1-6, March.
    2. Bahare Moradi & Rojin Akbari & Seyedeh Reyhaneh Taghavi & Farnaz Fardad & Abdulsalam Esmailzadeh & Mohammad Zia Ahmadi & Sina Attarroshan & Fatemeh Nickravesh & Jamal Jokar Arsanjani & Mehdi Amirkhani, 2023. "A Scenario-Based Spatial Multi-Criteria Decision-Making System for Urban Environment Quality Assessment: Case Study of Tehran," Land, MDPI, vol. 12(9), pages 1-24, August.

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