South KoreaPublic sector2025 – ongoingKorea Research Institute for Human Settlements
Urban-problem prediction from civil complaints
KRIHS reported about 73.1% parcel-level prediction performance in an urban-problem demonstration
Problem
Urban authorities needed ways to identify emerging problems before relying on responses to individual complaints.
Approach
KRIHS researchers demonstrated an AI service model using civil-complaint data to predict urban problems at parcel level. The work formed part of research into preventive public services. It remained a demonstration rather than evidence of routine municipal deployment.
Results
Takeaway
The reported result measured prediction performance. It did not establish that municipal response times or public-service costs had improved.
Categories
- Industry
- Public sector
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
KRIHS described a complaint-data demonstration of preventive urban-problem prediction. It reported approximately 73.1% parcel-level prediction performance and proposed further technical validation and institutional changes.
Full details are in the original sources.