Regional Characteristics of Migration Inflow of One-Person Households in the Seoul Metropolitan Area : Focusing on Migration Motivation between Job and Housing

Cho, Mihyun; Song, Jaemin

doi:10.17208/jkpa.2020.08.55.4.70

Cited by 4 publications

(2 citation statements)

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“…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.…”

Section: Discussionmentioning

confidence: 99%

“…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.…”

Section: Spatial Distribution and Influencing Factors Of Sphsmentioning

confidence: 99%

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

Yoon,

Kwon

2024

Sustainability

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Previous studies on social isolation and quality of life in single-person households (SPHs) faced limitations in identifying socially isolated groups in a citywide and detailed spatial range. The emergence of big data from various sources offers new possibilities for studying the relationship between SPHs and social isolation. This study examined the spatial distribution of SPHs at high risk of social isolation by age group and the influencing factors for Seoul, South Korea, using Seoul Citizen Life Data. Local indicators of spatial association clustering and spatial econometric models were used for the analyses. The results show, first, that SPHs are concentrated in areas with a high proportion of small- and medium-sized houses and non-apartment-type housing. Second, clear spatial distribution patterns based on life-cycle characteristics exist, with young people clustering near universities and employment centers and older people clustering in residential areas. Third, these life-cycle patterns are not as evident for SPHs with a higher risk of social isolation. Our findings show that not all SPHs can be considered a group with a high risk of social isolation, and the residential patterns of socially isolated SPHs differ from those of typical SPHs throughout their life cycle.

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Section: Discussionmentioning

confidence: 99%