Gyeonggi Province to Develop Big Data Analysis Models for Franchise Owner Protection and More

[Suwon Ilbo=Reporter Park No-hoon] Gyeonggi Province will pursue policies that residents can tangibly feel, such as protecting franchise owners, identifying areas requiring living SOC facilities, and resolving regional imbalances in waste disposal, through big data analysis.

Gyeonggi Province decided to actively utilize data analysis for major provincial policy issues and held a kickoff meeting on the 13th for the 'New Data Utilization Model Development Project' incorporating this direction.

The province identified five new tasks related to provincial policies requiring data analysis in the environment, fair competition, and quality of life sectors and is conducting analysis model development projects.

First, the province plans to analyze franchise sector information disclosure documents to identify current conditions by business type, brand, and region and reflect the results in policies. The topics that can be analyzed through information disclosure documents include the distribution of franchise headquarters and franchise shops within the province, product life cycles by business type, franchise owner expenses during startup and store operations, franchise headquarters sales trends, and contract periods. The province decided to support franchise owners in disputes by combining such analysis results with complaints and consultation contents.

The living SOC analysis is planned to analyze various data including existing facility status, demographic statistics, urban environment, and citizen satisfaction to resolve living SOC (sports, culture, medical services, etc.) imbalances and identify priority areas. The analysis model will be provided to cities and counties so it can serve as a foundation for decision-making in urban public facility policy.

The province will also address the continuously growing waste problem through big data analysis. Through data on waste generation, treatment volume, and transportation routes within the province, it plans to identify waste conditions and regional imbalances and utilize the findings for policies and inter-agency coordination to solve these problems.

Additionally, the province plans to analyze wild boar habitat distribution and migration routes by region to explore ways to end African swine fever, as well as conduct traffic flow analysis to predict traffic congestion on busy roads and derive optimal lane configurations.

The analysis model development is scheduled to be completed in February of next year. The province expects significant contributions to data-driven administration by providing analysis models that can be jointly utilized by the province and cities and counties.

Lim Moon-young, head of Future Growth Policy at Gyeonggi Province, said, "This project focused on analyses with high applicability to residents' lives and major provincial policies," adding "Going forward, we will actively work to conduct demand-oriented customized data analysis."