Selecting the right location for new schools is critical to maximizing impact and long-term efficiency. This project applies GIS-based Multi-Criteria Decision Analysis to identify optimal sites for new public schools, focusing on previously identified underserved areas. Key criteria—including distance from existing schools, population density, land use, road access, slope, and proximity to industrial zones—were standardized and weighted using AHP. The resulting suitability map provides a clear, defensible framework for school expansion planning. This approach reduces investment risk, improves accessibility outcomes, and ensures that new facilities are located where they generate the greatest social benefit.

School Site Suitability Analysis

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