Optimal Site Selection of Construction Sites Using Fuzzy AHP in GIS (Case Study: Yazd City)

With the rapid growth of urbanization and the increase in construction projects within urban areas, selecting appropriate locations for construction sites has become a critical issue in urban planning. This study aims to determine the optimal locations for construction sites in Yazd city by integrating the Analytic Hierarchy Process (AHP) with fuzzy logic analysis within a GIS environment. After identifying and assigning weights to eight key criteria (such as distance from medical centers, educational institutions, industrial areas, roads, and natural resources), information layers were prepared and integrated using fuzzy membership functions and spatial overlay analysis. The results revealed that the eastern and southern zones of Yazd, especially areas adjacent to transportation networks and industrial zones, are the most suitable for workshop establishment. In contrast, densely populated urban areas with sensitive land uses were deemed inappropriate. The findings of this research can serve as an efficient model for spatial decision-making in construction projects, especially in historically and architecturally sensitive urban areas.

Authors

Publication Details

Journal
Journal of Remote Sensing & GIS
Published
2024-12-29
DOI
https://doi.org/10.71593/jrors.2025.1210631
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
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article

Optimal Site Selection of Construction Sites Using Fuzzy AHP in GIS (Case Study: Yazd City)

Esmaeil Abedinnezhad
Journal of Remote Sensing & GIS
Multi-Criteria Decision Making
article

Optimal Site Selection of Construction Sites Using Fuzzy AHP in GIS (Case Study: Yazd City)

Esmaeil Abedinnezhad
article en

Abstract

With the rapid growth of urbanization and the increase in construction projects within urban areas, selecting appropriate locations for construction sites has become a critical issue in urban planning. This study aims to determine the optimal locations for construction sites in Yazd city by integrating the Analytic Hierarchy Process (AHP) with fuzzy logic analysis within a GIS environment. After identifying and assigning weights to eight key criteria (such as distance from medical centers, educational institutions, industrial areas, roads, and natural resources), information layers were prepared and integrated using fuzzy membership functions and spatial overlay analysis. The results revealed that the eastern and southern zones of Yazd, especially areas adjacent to transportation networks and industrial zones, are the most suitable for workshop establishment. In contrast, densely populated urban areas with sensitive land uses were deemed inappropriate. The findings of this research can serve as an efficient model for spatial decision-making in construction projects, especially in historically and architecturally sensitive urban areas.

Journal of Remote Sensing & GIS
Sustainable cities and communities
Openalex Percentile: Top 40%
Multi-Criteria Decision Making
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