Enhancing educational equity and sustainability: a fuzzy-based framework for optimal school site selection

Educational equity is a crucial component of social fairness, essential for a harmonious society. This study employs Multi-Criteria Decision Analysis (MCDA), integrating Geographic Information Systems (GIS) and the Fuzzy Analytic Hierarchy Process (FAHP), to assess and improve the distribution of middle school resources in Henan Province, China. We applied fuzzy techniques simultaneously in the weighting and classification processes of school site selection criteria. We evaluated economic, transportation, social, and safety factors and incorporated educational resource allocation and teaching environment factors into the site selection criteria. Our study finds that over 39% of land in Henan Province is unsuitable for school construction. We also identified areas on the urban periphery and in the eastern and southern regions, which have convenient transportation and high educational demand, as potential sites for middle schools. Sensitivity analysis further validates the reasonableness of the expanded decision criteria. Our approach addresses the limitations of traditional AHP in handling fuzzy information, considers long-term resource allocation and ecological development of school operations, and provides planners with a robust framework for making scientifically informed site selection decisions, thereby promoting educational equity and sustainable development.

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Publication Details

Journal
International Journal of Digital Earth
Published
2025-04-23
DOI
https://doi.org/10.1080/17538947.2025.2495735
Citations
2
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
1.37

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article

Enhancing educational equity and sustainability: a fuzzy-based framework for optimal school site selection

Yu Meng, Yanhong Liu, Xiao Huang, Yanqing Xu et al.
2 citations
International Journal of Digital Earth
Spatial Cognition and Navigation
1.37
article

Enhancing educational equity and sustainability: a fuzzy-based framework for optimal school site selection

Yu Meng, Yanhong Liu, Xiao Huang, Yanqing Xu, Yan Liu, Yuchen Li, Cong Fu, Ruidun Chen
article en
2 citations

Abstract

Educational equity is a crucial component of social fairness, essential for a harmonious society. This study employs Multi-Criteria Decision Analysis (MCDA), integrating Geographic Information Systems (GIS) and the Fuzzy Analytic Hierarchy Process (FAHP), to assess and improve the distribution of middle school resources in Henan Province, China. We applied fuzzy techniques simultaneously in the weighting and classification processes of school site selection criteria. We evaluated economic, transportation, social, and safety factors and incorporated educational resource allocation and teaching environment factors into the site selection criteria. Our study finds that over 39% of land in Henan Province is unsuitable for school construction. We also identified areas on the urban periphery and in the eastern and southern regions, which have convenient transportation and high educational demand, as potential sites for middle schools. Sensitivity analysis further validates the reasonableness of the expanded decision criteria. Our approach addresses the limitations of traditional AHP in handling fuzzy information, considers long-term resource allocation and ecological development of school operations, and provides planners with a robust framework for making scientifically informed site selection decisions, thereby promoting educational equity and sustainable development.

International Journal of Digital EarthVol. 18(1)
University of Leeds (GB), Emory University (US), Wuhan University (CN), Syracuse University (US)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Spatial Cognition and Navigation
1.37
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