Osan City Proves Factors Improving Settlement Tendencies Through AI Big Data Analysis... First in Nation

[Suwon Ilbo=Reporter Seo Dong-young] Osan City announced on the 1st that it has scientifically proven factors affecting settlement tendency improvement through big data analysis using artificial intelligence (AI) algorithms for the first time in Korea, and based on the results, has identified 11 areas within the city with potential for settlement tendency improvement.

According to the related big data analysis results, the correlation between settlement tendency and education and care facilities (daycare centers, elementary, middle and high schools, senior community centers, etc.) over the past 10 years was analyzed to be 87% or higher. This is the first time in Korea that statistical proof has been established that expanding education and care facilities is effective in improving settlement tendency.

On the 30th of last month, the city held a completion report meeting for the "2020 Osan City Big Data Analysis Project" at the city hall situation room, attended by Mayor Kwak Sang-wook and heads and staff of operational departments, and discussed the completion report of the big data analysis project and ways to utilize it in administration.

The big data analysis project was conducted over 5 months from July, with Osan City and big data analysis specialist company Ains SNC (CEO Yang Young-jin) participating to conduct big data analysis tasks including settlement tendency, revitalization of Oseok Market and Oseok Street Market, and prevention of infectious diseases in children.

In this project, public data such as the Statistics Korea's household trend survey, household finance and welfare survey data, and the Ministry of Land, Infrastructure and Transport's apartment information were incorporated and utilized in the analysis data to ensure accuracy and reliability of the big data analysis.

Through this, a total of 704 data were established, including ▲133 items on household composition characteristics such as household composition type and employed population ▲147 items on consumption expenditure such as household income, housing costs, and private education expenses ▲214 items on economic sentiment such as financial assets by household and real estate investment propensity ▲79 items related to education and care facilities ▲131 items on licensed business entities.

In particular, when analyzing major big data on the correlation between settlement tendency and education and care facilities (daycare centers, elementary, middle and high schools, senior community centers, etc.) over the past 10 years, the analysis showed a correlation of over 87%, scientifically proving for the first time in Korea that the expansion of education and care facilities currently being intensively pursued by Osan City has a high effect on improving settlement tendency.

Over 10 years, the city saw a 34.4% increase in the number of households, a 22.7% decrease in household outflow rate, and a 59.1% increase in residence period. It was possible to identify that settlement tendency among households in their 30s with monthly income of 4 to 5 million won with children under elementary school age (middle-class families with children in their 30s) is increasing.

As a result of mapping and analyzing the determinants of settlement tendency according to education and care facilities within the living area by region (1 km grid, 500 m radius) using AI algorithms (R² 0.70), it was found that residence period is determined by public and private daycare centers, senior community centers, parks, educational facilities, etc.

In addition, by analyzing the settlement tendency decision mapping of the AI algorithm, a total of 11 small districts (1 km grid) with potential for settlement tendency improvement were identified from the perspectives of all households, households with pre-school children care, elementary school-age children care households, and others.

Mayor Kwak Sang-wook of Osan City stated, "The fact that the education and care policies we have pursued over the past 10 years have contributed to improvement in settlement tendency has been scientifically proven through this big data analysis using AI algorithms, so we will continue to promote settlement tendency improvement policies such as education and care by region in the future," and added, "We will make various efforts to create an Osan City where people want to stay and an Osan City that people want to visit."