• Journal of the Korean housing association
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• v.18 no.5
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• pp.143-150
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• 2007

The purpose of this research is to example the general trend of the service environment evaluation of the silver town and classify based on the service environment evaluation to suggest a effective method and alternatives fur development companies. The survey population of this study focused on 40s and 50s' middle aged both genders living in the Seoul and national capital region, we used random sampling method. The analytical methods used in this study were frequency, mean, standard deviation, factor analysis, Chi-Squae analysis, ANOVA, cluster Analysis, post-hoc estimation (Duncan test), To verify the reliability of each measure, Cronbach's alpha coefficient was used. As a result of classifying the environment evaluation elements, it was classified into 5 groups for the differentiating strategy on each group. The groups are: life support service type, medical and health support service type, cultural support service type, indifference type, and food support service type.

• Journal of the Korean housing association
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• v.2 no.2
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• pp.55-69
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• 1991

The purpose of this study were 1) to identify the pattern of general life style of the middle classs apartment residents. 2) to examine the types of the home furnishing attitudes of those. 3) to find out the relationships between life style and the home furnishing attitudes. The data were collected using self-administered questionnaire. The respondents were 227 homemakers of the middle class apartment residents, selected through stratified random sampling technique. Data were coded and analyzed using SPSS computer packages. The statistics used were frequency, percentage. Pearson's correlation coefficient, F-test, X2-test, factor and cluster analysis. 6 patterns of life style and 6 types of the home furnishing attitudes were identified. The relationships between the life style and the home furshing attitudes were interpreted by 25%.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.95-118
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• 2017

Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government's spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper research.

• Journal of the Korean Home Economics Association
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• v.29 no.4
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• pp.65-80
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• 1991

The present study was designed to find out demanding characteristics about a desk in the teenager's housing lifestyles. Documentry research and questionnaire survey methods were used in this study. Questionnaire were administered to 233 teenagers in seoul. Data were analyzed with the use SPSS PC+ package. The statistics were frequency, percentage, factor analysis, chi-squre, and cluster analysis. The major findings were followings: the teenager's housing lifestyles were categorized into the five patterns: the creative and impulsive type, the personal and private type, the economic and traditional type, the Western lifestyle-type, functional and achievement-orienented type. Teenagers in the low class of the functional and achievemental type demanded for the desk of the strong structure and materials, under 200,000 wons, and D furniture. Teenagers in the middle-high class of the personal and private type demanded for the desk of colorful and good design, 200,000-400,000 wons, and DS furniture. Teenagers in the high-low class of the Western lifestyle-type demanded for the desk of the famous trademark, 400,000-600,000 wons and S furniture. Teenagers in the middle-low class of the economic and tradition-oriented type demanded for the desk of the convinient and functional design, under 200,000 wons, and L furniture.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.34-46
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• 2005

The purpose of this study was to research buying behavior and home fashion preferences based on housing size. The target consumers were Korean women, aged 20~40s who reside in the Seoul & Kyunggido areas. We distributed questionnaires to 650 women. However, only 600 questionnaires were used for the statistical analysis. Data analyses were conducted with SPSS program on the frequency, Chi-square test, cluster analysis, t-test and ANOVA. The results of this study are as follows: 1. The considering factors for purchasing such as brand, trends coordinating existing furnishings with new products and functionality were significantly associated with housing size. The buyers who reside in bigger size homes. over 40 pyung place higher value on brand name, trends. or coordinating existing furnishing with new products than residents in smaller units. However, women who live in smaller units place higher value on functionality when purchasing home fashion products. Considering factors such as brand, trend, and materials were also significantly associated with segmented age group; 40~49 age group considered brand, trend, and materials more than 20~29 age group. The group who are highly interested in home fashion considered design/color, rand, coordination, and functionality than the group who are low interested in home fashion. 2. Residents in over 40 pyung homes buy home fashion products at department stores, while residents in less than 39 pyung homes buy them at discounted store. 3. Respondents preferred solid colors more than patterns. However, they favored character pattern for textile bedding products for their children. 4. there is also a statistical difference in preferences for types of window treatments between large ad small housing sizes. Residents living in over 40 pyung preferred tie-back/cottage curtain, while residents living in less than 29 pyung preferred Roman shade style.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.1-10
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• 2009

This paper documents research carried on the University students who are potential residents of the city to find out their preference for the ubiquitous residential functions, and categorize based on the life style to find out difference of their preference on ubiquitous residential functions. A survey was conducted on 324 university students in Gwangju city. The students were selected through purposive sampling and quota sampling by self-administered questionnaire sheets. The analysis analyzing methods using SPSS/PC 12.0 are frequency, percentage, factor analysis, cluster analysis, $x^2$(chaisquare)-test and one-way ANOVA (analysis of variance). For the survey, lifestyle types were categorized as: These are classified based on the analysis of facts regarding characteristics of student's lifestyles that are divided into nine types of facts and then make the four types through the cluster analysis as below. Energetic life type, Inactive life type, Family-oriented life type, Thrifty and Personality-oriented life type. The residential function of Ubiquitous is classified as Safety, Convenience, Comfortableness, Information, Health, Leisure and the residential space is divided into bedroom, livingroom, kitchen, bathroom. Considering the preference aspects for Ubiquitous residential function, among the bedroom, living room, kitchen, and bathroom, University student seek for safety from the living room, Convenience from the kitchen and Comfortableness from the living room, bedroom and kitchen. For Information, bedroom is most preferred among the bedroom, living room, and kitchen. For Health and Leisure, bedroom is preferred between bedroom and living room. In terms of the difference about the preferences for ubiquitous functions based on the four types of lifestyles; The Thrift-oriented type is commonly preferred to the Inactive type among the bedroom, living room and kitchen. The Family-oriented and the Thrift-oriented type were preferred to the Energetic and Inactive types in the bathroom. Also, in the entire residential space, the Ubiquitous functions is most preferred by the Thrifty and Personality-oriented life type.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.233-246
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• 2013

This paper investigates both the spatial patterns of aging population and its formal regional structure in 2010. The results are as follows: first, aging index shows high values in remote mountainous and coastal regions while showing relatively low values in Capital Region and large provincial cities. Aging index has low negative correlation with such variables as population increasing rate, ratio of youth population, ratio of apartments, and ratio of newly built housing. However, aging index shows high positive correlation with variables including ratio of single unit house, ratio of aged peoples' house ownerships, ratio of welfare recipients, ratio of old housing, and number of public healthcare facilities. Secondly, four factors are identified from factor analysis including aging factor, welfare factor, economic vitality factor, and new town factor. The aging level of a region is negatively related to the strong level of those factors. Thirdly, cluster analysis results in four different types of formal regions including rural mountainous coastal type, rural non-capital region type, large metropolitan type, and provincial industrial city type.

• Land and Housing Review
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• v.14 no.2
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• pp.35-50
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• 2023

The purpose of this study is to identify areas in need of urban renewal by utilizing spatial data and analyzing their types and characteristics. For this, this research employed a kernel density function and K-means cluster analysis with spatial data, through which it sought ways to identify high-demand areas for urban renewal projects. The key findings and implications of the research are summarized as follows. Firstly, this research classified 587 target sites in Seoul based on development density (ratios) and an indicator for aged buildings. Approximately half of these areas were consistent with leading pilot project sites and Accelerated Integration Sites. Secondly, it was observed that residential environments in the designated leading pilot project sites, as decided by public sectors, were relatively poor compared to other areas. Lastly, the target areas for urban renewal were not clearly categorized through statistical analysis. Instead, it was found that categorization should be made depending on the requirements of each project.

• KIEAE Journal
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• v.7 no.1
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• pp.5-13
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• 2007

Since aging has become one of most hot and serious issues in the whole global world, universal design as a strategic concept to enable the elderly age in place has received much attention and its importance is getting recognized. Japan has undergone the Aging phenomenon much earlier than Korea and other countries. During that time, through much trials and errors, it accumulated the wisdoms and techniques to precede aging friendly environment and products. Therefore current Japan house is a comprehensive setting which embraces lots of universal design features that has a valuable implication for Korean development that faces fast aging future. The purpose of this study was to delineate characteristics of universal design features appeared in Japanese Model houses. One site of housing park in the city where various model houses of representative housing construction companies was selected as a cluster area for data collecting. Data were collected mainly through field survey at the housing park of Tokyo during November, 2006, and additional data were collected through website and company information of relevant company. Universal design features were extracted for 17 houses of the housing park and sorted and analyzed according to the analysis frame. The frame were made using 2 major clusters; space area, and 8 universal design principle. Results showed a range of universal design feature and its detail universal design principle satisfied. The 8 principle currently developed became to house realistic practical examples and theory became proved its impractical power. The academic, educational and industrial implication were documented.

• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.181-195
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• 2012

The purpose of this study was to explore clusters of married woman based on family differentiation and family rules originating from their family of origin, and to examine family strength according to clusters. The research instrument comprised of a questionnaire completed by 269 married women that investigated family differentiation and family rules based on family origins, and the comparative strength of their nuclear family. Analysis of subgroups was based on four representative categories differentiating family rule patterns. Cluster analysis demonstrated that the higher family differentiation level and lower-mid family rules level were related to greater family strength. As a subgroup, lowest levels of family strength were associated with lower family differentiation and lower family rules in all clusters. Findings supported the efficacy of a typological approach for investigation of experiences of married women based on family origin.