Gyeonggi-do Provides Continuous Data Analysis Service in Daily Life and Safety Related Fields

Project Kick-off Meeting

Gyeonggi Province will establish a continuous data analysis service for four areas closely related to residents' lives and safety, including public daycare centers and childcare vulnerable areas, as well as priority reinforcement areas for the fire emergency vehicle priority signal system, through analysis of residential and floating populations.

On the 16th, Gyeonggi Province held a kickoff meeting for the "2023 Data Model Advancement Project" at the Gyeonggi Provincial Government Office to discuss the overall plan and direction of the project, the province announced on the 17th.

This project aims to provide demand-centered customized administrative services by utilizing already verified analysis models, including ▲analysis of public daycare centers and childcare vulnerable areas ▲location analysis of child care centers ▲analysis of priority reinforcement areas for the fire emergency vehicle priority signal system ▲improvement and advancement of the continuous living population analysis service functions.

First, the analysis of public daycare centers and childcare vulnerable areas is a service that analyzes childcare vulnerable areas through population estimates by age group and the current density of infants and toddlers. It can be used for selecting locations for public daycare centers.

The location analysis of child care centers will predict elementary school care demand and visualize priority installation areas for new care centers considering household characteristics.

The analysis of priority reinforcement areas for the fire emergency vehicle priority signal system analyzes data such as regional fire damage status and dispatch status, allowing identification of areas where the priority signal system needs reinforcement so that emergency vehicles can secure the golden time.

The improvement and advancement of the continuous living population analysis service will visualize and provide basic status data for regional policy development, such as population movement patterns by administrative district, month, and age group, as well as card consumption patterns.

Gyeonggi Province plans to complete the data analysis model advancement project by December.

Lee Su-jae, Director of the AI Big Data Industry Division of Gyeonggi Province, said, "This project provides continuous analysis services to support policies and decision-making in areas closely related to residents' lives based on data," adding, "We will continue to actively work to establish a foundation for data-driven provincial administration."

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