A Study on the Age Distribution Factors of One Person Household in Seoul using Multiple Regression Analysis

Abstract

While the number of total population in Seoul has been on the constant decline for the last few years, the number of household has increased due to the rising tendency of the smaller households. In 2010, the small households in the metropolitan areas accounted for 44% of the entire households, and Statistics Korea has reported that one person household, which will take up more than 30% of the whole household, will have been the most common type of household by 2020. This reason of rise will be differently shown according to age like the preferred housing type or surrounding environments, this research is suggest to research hypothesis that distinction of age leads to the spatial distribution of one person household. Therefore, this research is to exercise a multiple regression analysis targeting on the facilities, which become the spatial distribution factor of one person household, with the independent variable gained from the concluded area calculated with the area ratio of the spatial unit followed by the service area analysis based on network. The spatial unit is the census output of Seoul, and based on this the interaction between the number of one person household according to age and the factors of its distribution. Also, the spatial regions -downtown, northeast, southeast, northwest, southwest -are designed as dummy variables and the results of each region are found out. As a result, the spatial regions occupied according to age are found to be varied -people in their 20s prefer housings near the college, 30s lease or the monthly rental housings, 40s the monthly rental housings, and over 60s the housing with the floor area of less than 40m 2 . Likewise, one person household has different types of housing environments preferred according to age, and thus a housing policy concerning this will have to be suggested.

Spatial Distribution and Influencing Factors of Single-Person Households with Social Isolation in Seoul, South Korea

“…However, we found a significant negative effect in Model 2 and Models 4-8. This result is consistent with previous studies [9,34,35] showing that SPHs tend to live in small-and medium-sized multi-family units and studios with relatively lower prices owing to their relatively low number of members and income levels. However, in Model 3, unlike the results of the other models, the average rental price variable showed a significant positive association with the distribution of the entire youth SPHs.…”

“…This reflects their propensity to actively participate in society and interact with others. In addition, middleaged and older adults typically show a clear preference for living in urban centers or residential areas away from areas familiar to young people, such as universities [9,11,35,38,39]. However, those at higher risk of social isolation do not exhibit these life-cycle characteristics, are more likely to be rent burdened, and show little preference for accessibility.…”

“…In the last decade, with the explosive growth of SPHs, geographers and urban planners have conducted studies on the spatial distribution of SPHs and their controlling factors. SPHs are characterized differently from other household groups in terms of their preferences for housing types and prices by region because of the small number of household members and relatively low household income [9,34,35]. Studies have shown that SPHs tend to favor neighborhoods with relatively small house sizes, low-density multifamily housing, and relatively low land and rental prices [9,35].…”

“…Previous studies have argued that SPHs are more mobile than other household types, with housing choices based on individual decisions and preferences [2,36]. Several studies have found that SPHs tend to live near universities or employment centers [9][10][11]35,[37][38][39]. Young adults have been shown to have a higher preference for proximity to work and access to public transportation than other groups.…”

“…The factors affecting the spatial distribution of SPHs by age group were derived from previous studies [9,12,15,35,39,46]. We included a proportion of small houses (SMALL_RATIO) of ≤40 m 2 based on previous studies that show that SPHs are more likely to live in houses with relatively small areas.…”