• Journal of the Economic Geographical Society of Korea
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• v.18 no.4
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• pp.450-466
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• 2015

This study examines why families move to neighborhoods at different levels of income. By analyzing a survey dataset of homeowners who sold and bought a house in 1999 in Franklin County, Ohio, in USA on their mobility decisions, this study examined the factors associated with cross-income residential location decisions. I categorized both survey respondents and neighborhoods into low-, middle-, and high-income levels and ran multinomial logit analyses for each of the low-, middle-, and high-income family groups to examine why families moved to neighborhoods at different levels of income. The analysis suggests that middle-income families moved to high-income neighborhoods because of school reputation and moved to low-income neighborhoods because of investment purposes.

• Journal of the Korean association of regional geographers
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• v.10 no.3
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• pp.654-666
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• 2004

The function of officetel has been changed from office use to residential use since 1980s. The construction of officetel was relatively increased in 1991, has been decreased in the middle of the 1991, and has been increased after 1996. This paper is an empirical examination of officetel rent determinants in Seoul. Hedonic regression analysis provides the basic framework for this study. The major rent determinants are the preferable location of buildings, the ratio of private use area to the building area. residential use. The officetel rents are likely to increase at an increasingly rate with respect to these variables. The significant and positive determinants that impact rents is the building story height for the officetel for business use, and the ratio of private use area to the building area for the officetel for residential use.

• Journal of the Korean Regional Science Association
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• v.32 no.1
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• pp.83-103
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• 2016

This study aims to analyze the determinants of residential location choice for the inter-urban migrants in the Seoul metropolitan area. In doing so, we have built a discrete choice model, using household sample data from the 2010 Korea Population and Housing Census. We classified households, which made a intra-urban movement during the last five years, into four groups: 1) movers from Seoul (central city) to Gyunggi-Incheon (suburban), 2) movers from Gyunggi-Incheon to Seoul, 3) Intra-Seoul movers, and 4) intra-Gyunggi-Incheon movers. The analysis findings can be summarized as follows. First, significant differences in the determinants of residential location choice were found among different types of movers. Second, movers from Gyunggi- Incheon to Seoul were likely to choose small housings with fewer rooms, indicating that their housing choices were forced rather than voluntary due to high housing prices in Seoul. Third, all types of movers have a high preference for the neighborhood with a good accessibility by public transit including subway. Lastly, neighborhood amenity was also an important attracting factors for the intra-urban migrants in Seoul.

• Journal of the Korean housing association
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• v.19 no.6
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• pp.73-83
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• 2008

We explore what factors influence the residential choice and mobility of people, and try to figure out the preferable residential district in Deagu. Household, housing characteristics, and neighborhood environments are considered as explanatory variables to predict the residential choice and the preferable residential district, and logit regression is used for the analysis. We found age, ownership, income, property, and education level as household characteristics, building age as housing characteristics, and accessibility to park and open space, public library and shopping mall as neighborhood environments are significant in determining residential choice of people whereas housing size, accessibility to elementary school, local market, cultural facility and gymnasium are not significant. These results imply people choose the residential district according to household characteristics as they did, as well as choose according to housing characteristics and neighborhood environments which are newly issued factors.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.707-715
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• 2023

This study utilized CART algorithm, a decision tree analysis method, to comparatively analyze factors affecting housing and residential environment satisfaction by region using data from Ministry of Land, Infrastructure and Transport's housing survey in 2020. First, in terms of residential environment satisfaction, accessibility to medical facilities and school district showed higher importance in metropolitan cities and areas compared to other regions, whereas safety from accident showed the opposite trait, showing difference between region. Second, housing characteristics were important in housing satisfaction, indoor environment level satisfaction and indoor safety and hygiene being important in almost all regions, while residential environment characteristics were more important in residential environment satisfaction and influencing factors were relatively evenly distributed. In order to generalize these regional characteristics, research using time series data needs to be conducted later.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.19-36
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• 2021

This study examined the determinants of change in residential size according to the patterns of residential mobility in the Seoul Metropolitan Area. Particularly, this study examined the upward and downward in residential size, which is emerging as an important factor in the era of increasing non-face-to-face environment. For the empirical analysis, I used 「2018 Korea Housing Survey」 and employed binary logistic regression model. The empirical analysis shows the change of residential size is statistically significant depending on the direction of geographic. In addition, there are differences in the determinants of change in residential size. When people move within Seoul, housing factors, accessibility, age of residents, and the number of household members can be the determinants. When people move from Seoul to Gyeonggi or Incheon, housing factors, safety, gender, and the number of household members work as determinants. On the other hand, when moving from Gyeonggi or Incheon to Seoul, whether it is studio or not, housing type, accessibility, the number of household members, and the disability of homeownership are the determinants. When moving within Gyeonggi or Incheon, housing factors, Accessibility to green areas, safety, age of resident, income, and the number of household members, are the determinants.

• Korean Journal of Construction Engineering and Management
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• v.21 no.5
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• pp.29-37
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• 2020

This study analyzed the importance of factors according to the investor's perspective through a survey of residential real estate experts using AHP and fuzzy theory. Analysis results showed that rent, profitability, traffic accessibility, commercial and infrastructure, and financial regulation are important in common. By expert group, financial and credit groups cited profitability, rent, traffic accessibility, supply and tax benefits, construction and development groups cited traffic accessibility, rent, direct access, profitability, commercial area and infrastructure, and appraisal and evaluation groups cited rent, profitability, transportation accessibility, financial regulation and supply as the most important factors. This showed that it had a preference characteristic that was associated with work. In other words, it focuses most on the financial perspective in investment characteristics, and it values convenience such as accessibility to transportation and commercial districts and infrastructure as its location characteristics. In addition, it was found that easing financial regulations in the market is important to expand investment in real estate. This study aims to help the business feasibility analysis of residential property developers and rational decision-making of general investors who are consumers, taking into account the various perspectives of the expert group.

• Journal of the Korean housing association
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• v.16 no.6
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• pp.1-7
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• 2005

도시화는 현대사회의 가장 큰 특징이며 도시가 성장하면서 과거의 기능이 변화하고 도시내부의 공간구조가 점차 기능적으로 분화하는 경향이 있다. 그 중 가장 주목할 만한 것 중의 하나는 주거지역의 입지변화와 공간적 확산과정에서 나타나는 주거지 분화현상이다. 도시생태학자 Hoyt은 주거지 이동패턴에 대하여 도시 내의 주거지분포 패턴을 결정짓는 핵심적인 요인으로 최고지대를 지불할 수 있는 부유층의 주거입지 선택에 따라 전체 도시의 계층별 주거분포가 영향을 받게 된다고 주장하였다. 서울은 소규모로 계획된 역사도시에서 인구 1000만의 대도시로 성장하여 오면서 많은 구조적 변화를 경험하여 현재의 공간구조를 이루게 되었다. 현재 전체 서울의 주택지는 동일한 것이 아니고 각종 주위환경에 따른 성격과 특성을 달리하는 요소로 구성되어 있다. 이 특성을 달리하는 주택지들이 모여서 각기 상이한 역할을 수행하고 서로 기능적 관계를 맺으면서 주택지를 형성하고 있다. 선형이론(Hoyt's Sector theory)에 따르면 고급주택지역의 도시 공간구조에 많은 영향을 미치고 있다고 주장하였다. 그럼에도 불구하고 서울의 고급주택지역의 분포와 그 입지 특성에 관한 연구는 미비한 실정이다. 본 연구의 목적은 서울시 고급주택지역의 분포를 형성하는 원인을 규명하는데 있다. 고급주택지의 지역적 분포를 파악하여 그 입지 성향과 특성을 알게 되면 도시의 토지이용계획, 특히 주거지계획에 도움이 될 수 있다.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 1990.09a
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• pp.45-56
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• 1990

In this study, existing apartments were examined to find the building elements which affect deterioration of the apartment. Data was analyzed with frequency, and discriminant analysis by SPSS/PC package. According to the results, the deteriorating factors in the apartment were greatly affected by maintance and residents experience in immediate life inconvience and discomfort.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.409-418
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• 2009

The aim of this study is to analyze the evaluations and determinants on residential resettlements in accordance with urban regeneration by 7,396 samples from 19 housing redevelopment districts in Busan. The major finding on determinants on residential resettlements in accordance with urban regeneration are as follows; A binary logit model for determinants on residential resettlements in accordance with urban regeneration are composed of owner's characteristics, land and building characteristics, housing complex characteristics, and location characteristics. The significant variables in relation to owner's characteristics are owner's age, owner's place of residence, the possession period against property and investment intention. As a result of logit model for residential resettlements, it shows that the variables in relation to land and building characteristics are the land classification, the use of building, the size of land or building, the permission of building and the appraisal price on land and building. This result means that actual customer's investment connects to resettlement after redevelopment project. The other side, the housing complex variables consist of the brand of construction company, the ratio of large size housing and floor are ratio shows that improvable conditions for housing value are important factor to induce residence's resettlement. The location variables show that Dongbusan has higher probability, the reverse Jungbusan has lower probability in residential resettlement likewise residential preference.