This study aimed to analyze changes in the housing mobility patterns of elderly households nationwide before and after the COVID-19 pandemic, as well as the determinants influencing their intention to move, using microdata from Korea housing survey. The analysis utilized binary logistic regression, considering the characteristics of the dependent variable. The main findings of this study are as follows. First, there were significant differences in the determinants influencing the elderly households’ intention to move before and after COVID-19. The determinants include the number of household members, monthly average total disposable income and residential environment satisfaction. Second, after COVID-19, elderly households tend to have an increased preference for urban areas with relatively good residential environments. Third, a polarization in housing mobility between urban and non-urban areas was observed among the elderly after COVID-19. This study aimed to interpret the implications and motivations of residential mobility choices through a micro-level analysis of the residential mobility of the elderly, which has been discussed collectively due to the small number of cases. This study also confirmed that in order to ensure housing stability for the elderly, senior employment policies should be implemented concurrently. According to the findings, it is it is necessary to implement localized senior housing alternatives that reflect the changing residential mobility needs of the elderly. Furthermore, the reconfiguration of urban infrastructure to accommodate the aging population should be prioritized in elderly housing policies, in line with the pace of population aging.
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