This study aimed at developing a living population forecasting model using spatial big data and identify related policy challenges. As living population is increasingly utilized to address regional population decline, more deeper understanding of the current situation and forecasting are essential to enhance policy effectiveness. This study developed and applied a model for the living population analysis and forecasting using mobile floating population data from telecommunication companies. Also based on our results, several related policy initiatives were proposed.

This study examines the extent and structural drivers of wealth inequality in South Korea and proposes policy measures to mitigate the widening asset gaps. The analysis reveals that asset disparities are shaped by complex interactions among life-course trajectories, asset composition, debt utilization, and the impact of intergenerational transfers through inheritance. From a life-cycle perspective, a coordinated policy approach is required that integrates social and tax policies, prioritizing support for low-and middle-wealth groups.