Site Selection for Green Space Centers Using Fuzzy Logic Model in Geographic Information Systems: A Case Study of Yazd, Iran
محورهای موضوعی : EnvironmentAli Gholami Javadieh 1 , Malihe Zakerian 2
1 - Islamic Azad University, Yazd branch, Yazd, Iran
2 - Assistant Professor, Department of Geography, Meybod Branch , Islamic Azad University, Meybod, Iran
کلید واژه: Urban green spaces, Geographic Information Systems (GIS), Fuzzy Logic, Yazd city,
چکیده مقاله :
Background and objective: The rapid increase in population and industrial growth in cities has led to environmental pollution and significant challenges for urban residents. To address these shortcomings, the development of urban green spaces is considered the most effective solution. Many cities, particularly Yazd, Iran, struggle to provide adequate services to their populations due to ineffective spatial planning and poor location choices regarding service centers. This study aims to optimize the spatial distribution of urban green spaces in Yazd. Materials and methods: This research employs a combination of Fuzzy Logic and the Analytic Hierarchy Process (AHP) for the location of urban green spaces. The selection of suitable sites for parks requires the identification and analysis of multiple criteria, including population density, distance from existing parks, proximity to educational, cultural, and commercial centers, as well as main thoroughfares. Due to the varying impacts of these indicators, pairwise comparisons were conducted using the AHP technique to determine the final weights of each factor. The fuzzy data layers were integrated into the ARC MAP environment to create the final maps for the suitable locations of parks and urban green spaces. Results and conclusion: The analysis utilized the GAMMA operator methods for site selection. The results indicate that the northern region, with minor areas in the northeast, presents the most suitable locations for establishing new parks and green spaces in Yazd. The findings emphasize the importance of optimal spatial planning to enhance the availability and accessibility of urban green areas, ultimately contributing to improved environmental quality and urban sustainability.
Background and objective: The rapid increase in population and industrial growth in cities has led to environmental pollution and significant challenges for urban residents. To address these shortcomings, the development of urban green spaces is considered the most effective solution. Many cities, particularly Yazd, Iran, struggle to provide adequate services to their populations due to ineffective spatial planning and poor location choices regarding service centers. This study aims to optimize the spatial distribution of urban green spaces in Yazd. Materials and methods: This research employs a combination of Fuzzy Logic and the Analytic Hierarchy Process (AHP) for the location of urban green spaces. The selection of suitable sites for parks requires the identification and analysis of multiple criteria, including population density, distance from existing parks, proximity to educational, cultural, and commercial centers, as well as main thoroughfares. Due to the varying impacts of these indicators, pairwise comparisons were conducted using the AHP technique to determine the final weights of each factor. The fuzzy data layers were integrated into the ARC MAP environment to create the final maps for the suitable locations of parks and urban green spaces. Results and conclusion: The analysis utilized the GAMMA operator methods for site selection. The results indicate that the northern region, with minor areas in the northeast, presents the most suitable locations for establishing new parks and green spaces in Yazd. The findings emphasize the importance of optimal spatial planning to enhance the availability and accessibility of urban green areas, ultimately contributing to improved environmental quality and urban sustainability.
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