• Journal of the Korean housing association
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• v.14 no.3
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• pp.77-84
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• 2003

This study analyzes the necessity and situation of the improvement of housing quality control system for the consumer. we find several defeats of the Housing Quality Control System in Korea. Especially there is no any organization that manange the total housing quality control. So this study suggest the home warranty system should be established as soon as possible for protectings home-buyers and improving housing quality.

• Journal of the Korean housing association
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• v.23 no.6
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• pp.1-9
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• 2012

This study is to organize the frame of measuring inventory for housing quality related to mental health in foreign literature reviews. In the first step, many housing quality contents or items are extracted from empirical studies, including housing environment quality and mental health. In the next step, extracted contents and items are classified by space scope (house and neighborhood unit) and WHO housing properties (safety & security, health & sanitation, efficiency/convenience, comfort/amenity). Almost all housing properties follow the WHO standard, but some properties, sustainability and economic characteristics, do not follow the standard. These reflect on current Korean housing environment. They are energy saving and environment friendly effort, property value and economic burden, identity expression, and school district. So they need to be added to the Korean housing quality measurement related to mental health.

• Journal of the Korean Home Economics Association
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• v.26 no.2
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• pp.49-67
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• 1988

The purpose of this study was to present a conceptual model for predicting housing quality. Housing quality was measured in three ways: perceived quality about physical features of houses, perceived level of the quality in comparison with perceived average level I urban area and housing satisfaction. The specific objectives to achieve the purpose were ; 1) to measure the perceived quality about physical features of houses and perceived level of the quality in comparison with the perceived average level I urban 2) to measure the level of housing satisfaction 3) to clarify the causality between the composite variables of housing quality. A final instrument was developed through two stage pilot surveys. The respondents were 1292 homemakers of middle and high economic class in seoul and Daejeon, selected through stratified random sampling technique. Data were collected during March and April, 1986, and analyzed using SPSS and SAS computer packages. The statistics used were frequency, percentage, F-test, Duncan's Multiple Range, x2, Cramer's V, Multiple linear Regression, Path analysis. The major finding were as follows; the variables significantly related to predict the housing quality were found. The simple, composite variables and 3 measures of housing quality were linked using path analysis, thereby a conceptual model predicting housing quality was suggested.

• Journal of the Korean housing association
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• v.14 no.5
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• pp.27-36
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• 2003

The purpose of this research is to analyze the residential environment based on the physical quality indicators in apartment housing through the case study of 36 housing estate samples which were built in 1994-1998. The contents of this research consists of two main parts. The first part is to select the quality indicators based on the residential satisfaction of dwellers. The second part is to analyze the residential environment based on the selected quality indicators in apartment housing. This research will contribute to the establishment of the site planning methods which increase the quality of residential environment in apartment housing.

• Journal of Families and Better Life
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• v.5 no.2
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• pp.65-82
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• 1987

Product characteristic approach and hedonic method were explained and applied to demand behavior of housing for 360 households sampled from four districts of Seoul. Th major findings are: 1) Housing prices are determined by housing characteristics, i.e., basic structure, interior space, interior quality, and neighborhood quality. 2) as income increase , the demand for basic structure, interior space, interior of quality, and neighbor hood quality increases. As compared to the counties that have advanced housing financial systems, income elasticity form housing characteristics was low. 3) householder's educational level has insignificant effects on the demand for neighborhood quality. 4) the housing need of family is different to a family life cycle. In the first stage, the increase of income enhances the demand for basic structure. interior space, and interior quality, but inversed with neighborhood quality. In the second and third stages, the demand for basic structure, interior space, and interior quality increases as the income increases. 5) It is predicted that the larger the family size, the more housing space is required. But in the low-income group, an increase in family size results in a decrease in the demand for interior space because expenses for food and education are indispensable ones. In the middle -income group the demand for interior space, interior quality increases as the family size increases, In the high-income group, the larger the family size the more interior quality is demanded. As mentioned above, the demand for housing is derived form characteristics and the demand behavior far housing characteristics is varied with individual household's characteristics. Therefore, the fact that different housing needs according to various income groups should be considered in housing policy.

• KIEAE Journal
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• v.8 no.6
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• pp.39-46
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• 2008

The purpose of this research is to analyze the planning characteristics based on the physical quality indicators and the users' satisfaction of parking space in apartment housing through the case study of 36 housing estate samples which were built in 1994-1998. The contents of this research consists of three main parts. The first part is to analyze the characteristics of residential environment based on the quality indicators of parking space in apartment housing. The second part is to analyze the correlation of quality indicators of parking space and development conditions in apartment housing. The third part is to analyze the correlation of users' satisfaction and physical quality indicators of parking space, and to propose the planning methods which increase the quality of residential environment of parking space in apartment housing.

• Journal of the Korean housing association
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• v.7 no.2
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• pp.69-77
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• 1996

Mobility in housing is a normative way to satisfy family needs for· better· living conditions. In the context of relative decisions. mobility can be understood as forced relocation or unforced relocation In making relocation. the household chooses a particular 'environmental quality profile. Therefore. the understanding of mobility and relocation in housing is needed for· the developing and planning of housing evnironment. The major findings are s follows ;1. The motives of mobility are composed of 4 factors('material porseperity’, 'convenience· safety'. environmental improvement' and 'forced relocation'). Especially, 'material prosperity' was defined the most fundamental factor· for. 2. The components of housing environment quality were composed of 3 factors related to the scale of home environment. They were 'neighborhood character factor', 'dwelling character· factor·'. And 'location character· factor'. The factor 'neighborhood character' was defined the basic factor· to choose for the housing environmental quality profile.3. It was examined that the motives of mobility and the components of home environmental quality were significantly different by the household characteristics (income. family life cycle. and tenure type).

• Asian Journal for Public Opinion Research
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• v.8 no.1
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• pp.3-21
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• 2020

This study examined the relationship between residential environmental satisfaction and quality of life, and how the relationship between variables differed depending on housing type. Residential environments can affect a person's life in a variety of ways. However, there have not been many studies on the relationship between quality of life and residential environments, which increases the importance of this study. In this study, residential environments were categorized according to amenities, safety, and neighborhood relationships, which enabled the comparison of influence between these elements. In addition, this study analyzed the moderating effect of housing type to look for improvements for low-rise housing residents. For testing the hypotheses, moderating regression analysis was conducted with data from the 1^st Gyeonggi Province quality of life survey that had 18,953 subjects. Results showed that residential environmental satisfaction had a positive effect on quality of life, with amenities having the largest influence. Furthermore, housing type had a significant moderating effect on the relationship between safety and quality of life. In other words, safety was proven relatively important in improving quality of life for low-rise housing residents. Today, with the limits to quantitative growth, qualitative development has become more important. In this respect, this study provides important implications for many developing countries undergoing urbanization.

• Journal of the Korean housing association
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• v.5 no.1
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• pp.71-84
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• 1994

This article tries to develop an instrument for assessing the quality of housing environment by using 67 housing environment variables. The method of factor analysis is used to explore the dimension of the quality of housing. As the result, 5 dimensions of housing environment are extracted. They are, according to the order of their importances, house structure and indoor environment, outdoor facilities and natural environment, indoor facilities and economy, public facilities and social relationship, and convenient facilities and residential feasibility.

• KIEAE Journal
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• v.7 no.4
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• pp.45-50
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• 2007

The purpose of this research is to analyze the residential environment based on the physical quality indicators of green space in apartment housing through the case study of 36 housing estate samples which were built in 1994-1998. The contents of this research consists of two main parts. The first part is to analyze the characteristics of residential environment based on the quality indicators of green space in apartment housing. The second part is to analyze the Correlation of Development Conditions and Physical Quality Indicators of Green Space. This research will contribute to the establishment of the site planning methods which increase the quality of residential environment in apartment housing.