Hwaseong City to Predict Civil Complaints with AI... Launches "Problem-Solving Urban Data Platform" Initiative

Hwaseong City Holds Kickoff Meeting for Urban Data Platform Project
Civil Complaint Analysis and Prediction System Powered by Korea Research Institute for Human Settlements Urban AI
Integrating Data from 63 Information Systems in a City 1.4 Times the Size of Seoul
Transitioning Administration from "Responding After Reports" to "Action Based on Prediction"

Hwaseong Special City in Gyeonggi Province (Mayor Jeong Myung-geun) has embarked on the development of an artificial intelligence (AI)-based administrative system that connects data scattered throughout the city into a single platform, enabling the prediction and proactive response to issues before citizens file complaints.

Joo Seungmun, Deputy Mayor of Hwaseong Special City, is presiding over the kickoff meeting for the "Problem-Solving Urban Data Platform Construction" project. Provided by Hwaseong City

On July 30, Hwaseong City announced that it had held a kickoff meeting for the "Problem-Solving Urban Data Platform Development" project in the situation room at City Hall, officially launching the initiative to transition to data-driven administration.

This project was selected by the Ministry of the Interior and Safety as part of the "AI Service Support Project for the Public Sector," and its core aim is to integrate and analyze the diverse urban data held by the city to diagnose and address municipal issues.

Hwaseong City is one of the largest local governments in South Korea, with an area of 844 square kilometers—1.4 times the size of Seoul—and a population exceeding 1.07 million. Especially since February of this year, the administrative demand has surged due to the transition to a system of four general districts: Manse, Hyohang, Byeongjeom, and Dongtan. This has underscored the growing need for a data-driven scientific administrative system.

Attendees at the report meeting included Josungmoon, Second Vice Mayor of Hwaseong Special City, representatives from departments related to civil complaints, transportation, crime prevention, disaster, and safety, as well as the Korea Research Institute for Human Settlements, Hwaseong City Research Institute, Hwaseong Industry Promotion Agency, Hwaseong Urban Corporation, and S.O.C Soft consortium, the project implementer. They shared project directions and detailed plans.

The project will be carried out over 180 days, from July 15, 2026, to January 11, 2027. Key tasks include building a civil complaint analysis and prediction system using the Urban AI technology developed by the Korea Research Institute for Human Settlements; establishing an ontology-based urban data anomaly detection system; integrating and collecting data; and implementing urban data services.

This initiative especially focuses on "connecting" and "predicting" urban data. Until now, data on civil complaints, transportation, crime prevention, disaster, and safety have been managed separately by each department. However, by linking data based on ontology, the city will be able to analyze correlations and detect anomalies in advance. The city expects this will enable a shift from a reactive administrative approach to a proactive one.

Initially, the city plans to connect 38 out of 63 information system databases and develop an integrated management system by acquiring Hwaseong-related data held by external organizations as well.

In addition, the city will offer 15 types of urban data services that citizens can use, such as maps showing population and migration status, regional economic analysis maps, medical supply vulnerability analysis, and real-time noise and fine dust monitoring.

In the first phase, Hwaseong City will develop seven core capabilities: civil complaint analysis, data ontology construction, data collection systems, information system integration, securing external data, data standardization and quality management, and GIS-based urban data services. From 2027 onward, the city plans to further advance urban situation scenarios and its data knowledge base, as well as expand data integration, ultimately developing a customized administrative system for each of the four general districts.

Josungmoon, Second Vice Mayor of Hwaseong Special City, stated, "Data is a record that the city leaves behind on its own, and reading that record is an essential foundation for enhancing the future competitiveness of the city. Through this project, we will unify scattered urban data, predict citizen inconveniences and urban problems in advance, and realize more scientific and efficient administration."

This content was produced with the assistance of AI translation services.