Optimal Prioritization Model for School Closure Decisions Considering Educational Accessibility in Shrinking Regions

The consolidation and closure of small schools in rural areas has not only worsened the educational environment but also risked accelerating the socioeconomic decline of rural communities. This study examines how elementary school closures affect educational accessibility and seeks to optimize closure prioritization through a fairness-oriented approach. An optimal prioritization model, developed using the p-median algorithm, was applied to simulate and assess changes in commuting conditions and spatial equity. Using a case study of a South Korean county, we demonstrate the model’s ability to minimize disparities in urban and rural commuting environments while ensuring a balanced and fair decision-making process for school closures. This approach highlights a viable pathway to equitable educational infrastructure planning in regions facing demographic decline.