Spatio-Temporal Distribution Analysis of One-Person Household - The Case of Busan City -

Yoo, Chang-Ju; Nam, Kwang-Woo

doi:10.11108/kagis.2014.17.2.059

Cited by 4 publications

(1 citation statement)

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“…An analysis of the capital area (Choi and Yoon 2013) finds that the elderly population mainly lives in self-owned detached houses and houses that have been built for more than 20 years, typically in the outskirts of the capital area. A study of Busan (Yoo and Nam 2014) showed that elderly single-person households live in small houses or old residential areas in the old city center area. In a study on Cheongju, the elderly residential area is relatively far from convenient areas where public facilities are concentrated (Jeon et al 2019).…”

Section: Introduction Theoretical Background and Purpose Of The Studymentioning

confidence: 99%

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

Chang¹

2022

Geog. Rev. Japan B

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This study analyzed the spatial distribution of population and housing in Daejeon Metropolitan City, a regional central city in South Korea, from the perspective of diversity. The diversity index of each administrative Dong is calculated using the population census variables of age, household, and housing type in 2010 and 2015. Variables affecting diversity changes are the increase in the number of people aged 55 or older, the increase in singleperson households, and the increase in condominium dwellings. Based on extracted variables, specific populationand housing type-areas of concentration are identified: aged 55 or older, single-person households, detached houses; and age group of 35-44, couples with children, condominium dwellings. The spatial distribution shows that aged 55 or older, single-person households and detached house concentrations are found in the eastern part of the city, mainly the old city area. In contrast, 35-44 years old, couples and children, and condominium concentration districts are found in the western part where the development of condominium complexes occurred. In Daejeon, an elderly population concentration area exists, which is predicted to expand further as the elderly population increases. Since condominium construction serves as a pull factor for 35-44 years old and couples with children, condominiumcentered housing construction in old city areas can increase the possibility of preserving age and household diversity.

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Section: Introduction Theoretical Background and Purpose Of The Studymentioning

confidence: 99%

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

Chang¹

2022

Geog. Rev. Japan B

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Estimation of Representative Area-Level Concentrations of Particulate Matter(PM₁₀) in Seoul, Korea

Song¹,

Kim²

2016

J. Korean Assoc. Geogr. Inf. Stud

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

Lee¹,

Yoon²,

Koh³

2015

Journal of Korea Spatial Information Society

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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.

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Spatio-Temporal Distribution Analysis of One-Person Household - The Case of Busan City -

Abstract: At present, Korean one-person households have been continuously increased in 2014년 3월 8일 접수

Cited by 4 publications

References 1 publication

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

Estimation of Representative Area-Level Concentrations of Particulate Matter(PM₁₀) in Seoul, Korea

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

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Spatio-Temporal Distribution Analysis of One-Person Household - The Case of Busan City -

Abstract: At present, Korean one-person households have been continuously increased in 2014년 3월 8일 접수

Cited by 4 publications

References 1 publication

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

An analysis of the spatial distribution of population and housing: The case of Daejeon, South Korea

Estimation of Representative Area-Level Concentrations of Particulate Matter(PM10) in Seoul, Korea

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

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Estimation of Representative Area-Level Concentrations of Particulate Matter(PM₁₀) in Seoul, Korea