Indian Journal of Science and Technology

Abstract

Objectives: This study attempted the exploratory approach to measure and improves the welfare for senior citizens in Seoul where the population is concentrated. Methods/Statistical Analysis: Based on the public data of Seoul, this study refined/analyzed data by using open source R. Through cluster analysis and association analysis based on the refined data, the correlations between happiness index of senior citizens in each borough and diverse variables were analyzed. Through time-series analysis, the number of senior citizens of Korea in the future was predicted. Finding: This study performed analysis focusing on measures to solve senior citizen problems by using the public data of Seoul. In the results of the analysis, voluntary hobby, religious activity, work, and activity in senior citizens center had no direct influence. However, senior citizens’ volunteer work showed a certain correlation, which was directly connected to their happiness. Improvements/Applications: The results of this study could provide the practical guidelines to establish the advanced hub project policies based on senior citizens’ social contribution to cope with aging society.
Keywords: Aging Society, Big Data, Data Analysis, Policy Convergence, Senior Citizen Happiness, Senior Citizen Welfare