Gyeonggi Assembly — School Facility Complexification Strategy
Gyeonggi public data + AI behavioral pattern analysis to identify 4 regional clusters. Delivered location-specific school facility complexification models for Hwaseong, Yeoncheon, Pyeongtaek, Namyangju, and Anyang.
Problem
While the need to expand school facility complexification was recognized, there was no analytical framework to quantify regional supply-demand imbalances and facility type biases (cultural arts vs. sports) with data, or to derive region-specific placement strategies. Legislators often relied on constituent complaints when prioritizing projects, making evidence-based policy proposals difficult.
Decision to Make
In which regions of Gyeonggi Province should which types of complex facilities be prioritized to resolve supply-demand imbalances and maximize resident accessibility?
Inputs (Data)
Approach
Used AI behavioral pattern analysis to segment Gyeonggi Province into 4 clusters and conducted in-depth analysis of supply-demand ratios and accessibility per cluster. Quantified the imbalance between cultural arts and sports facilities to derive region-specific distributed placement scenarios, and proposed participatory policy design incorporating resident opinion gathering platform integration.
Deliverables
Result
Final report presentation completed at Gyeonggi Provincial Assembly Education & Administration Committee (Mar 25, 2025). Refined facility type composition plan incorporating on-site suggestions from the assembly research group. Analysis results expected to feed into Gyeonggi-type school facility complexification policy with concrete implementation plans.
