• Journal of Digital Convergence
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• v.11 no.8
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• pp.41-52
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• 2013

Recently in Korea, it takes place as a social phenomenon the emergency of small family(1-2 persons). The City-Type Housing is constructed new standards and facilities for them from 2009. P.O.E(Post Occupancy Evaluation) carried out the building for a period of time, making the assessment says. The aims of this study were P.O.E. of the City-Type Housing and its political implications. Four City-Type Housing located Gang-Nam, Gang-Buk in Seoul, surveyed 62 questions and interviewed for City-Type Housing office. As the results revealed transportation issues, confined space, parking space, economic issues. In Gang-Nam resident were more satisfactoried the location, the building status, the construction status, the housing size, maintenance and economical sences 95% confidence level. Thus, it should be improved. the upward limited living space, parking space qualified, defined design technical issues.

• Spatial Information Research
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• v.21 no.6
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• pp.81-89
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• 2013

Recently, several studies conducted for other countries show that housing price has very close relationship with personal or neighborhood level obesity. Also these studies suggest the use of housing price as a new SES(Socio-Economic Status) variable for health related studies. In this study, whether this relationship can be found in regions of the Seoul Metropolitan Area is investigated. The results of this study show that, as in the cases of other countries, the regions with SES represented by higher housing prices show lower obesity levels. Further, the results show that the differences in regional housing prices well explain the variations of regional obesity levels as other traditional SES variables do. This finding indicates that housing price which is objectively, continuously, and spatially measured in Korea can be used as a new SES indicator for health research in Korea.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.77-86
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• 2021

This study aims at exploring the change of the total fertility rate(TFR) in regional level and analysing what different effects the local labor market and housing market have on the change of TFR. Previous studies have emphasized that the job and housing issues of the youth are structural factors on the decline of TFR. However, considering that youth problem is variant in local level, the relationship of job and housing issues with TFR could be different in local level. This study analyses what effects the situation of local labor market and housing market have on the TFR from 2012 to 2018 in regional level. The result is that the employment and housing factors have different effects on capital areas and non-capital areas. While the high cost of housing has negative effects on TFR in capital areas, it has rather positive effects in non-capital areas. However, labor market variables have statistically insignificant effects on TFR.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.197-211
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• 2018

We conducted this research to examine how well regional housing prices are suited to use as an alternative to conventional census-based regional deprivation indices in health and medical geography studies. To examine the relative performance of mean regional housing prices compared to conventional census-based regional deprivation indices, we compared several multilevel logistic regression models, where the first level was individuals and the second was health districts in the Seoul Metropolitan Area (SMA) in Korea, for the sake of adjusting the regional clustering tendency of unknown factors. In these models, we predicted two dichotomous variables that represented individuals' after-lunch tooth brushing behavior and use of dental floss by individual characteristics and regional indices. Then, we compared the relative predictive performance of the models using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The results from the estimations showed that mean regional housing prices and census-based deprivation indices were correlated with the two types of dental health behavior in a statistical sense. The results also revealed that the model with mean regional housing prices showed smaller AIC and BIC compared with other models with conventional census-based deprivation indices. These results imply that it is possible for housing prices summarized using aerial units to be used as an alternative to conventional census-based deprivation indices when the census variables employed cannot properly reflect the characteristics of the aerial units.

• Land and Housing Review
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• v.7 no.1
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• pp.19-29
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• 2016

This study proposes the big data policy and case studies in Korea and the application of land and housing of spatial big data to excavate the future business and to propose the spatial big data based application for the government policy in advance. As a result, at first, the policy and cases of big data in Korea were evaluated. Centered on the Government 3.0 Committee, the information from each department of government is being established with the big-data-based system, and the Ministry of Land, Infrastructure, and Transport is establishing the spatial big data system from 2013 to support application of big data through the platform of national spatial information and job creation. Second, based on the information system established and administrated by LH, the status of national territory information and the application of land and housing were evaluated. First of all, the information system is categorized mainly into the support of public ministration, statistical view, real estate information, on-line petition, and national policy support, and as a basic direction of major application, the national territory information (DB), demand of application (scope of work), and profit creation (business model) were regarded. After the settings of such basic direction, as a result of evaluating an approach in terms of work scope and work procedure, the four application fields were extracted: selection of candidate land for regional development business, administration and operation of rental house, settings of priority for land preservation, and settings of priority for urban generation. Third, to implement the application system of spatial big data in the four fields extracted, the required data and application and analytic procedures for each application field were proposed, and to implement the application solution of spatial big data, the improvement and future direction of evaluation required from LH were proposed.

• KIEAE Journal
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• v.15 no.1
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• pp.29-43
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• 2015

Shared housing for elderly people, where several elderly people live together, gains attention as a means to prevent the lonely death of elderly people and continuously maintain their social relations. The purpose of this study is to compare the characteristics planned through rural and urban areas-residing elderly people's participation in the shared housing spatial composition by area. This study conducted a small scale workshop panel method that targeted small group, but through which extensive information can be acquired, as a qualitative method. This study targeted 16 elderly people aged 65 and over living in rented apartments in rural and urban areas by dividing them two groups by area, namely into four groups. A total of 12 workshop sessions were held with three sessions at a time through a certain time interval. As a result of the study, the elderly people showed positive responses to the shared housing, irrelevant of area. As time went on, the workshop panel method's effect was revealed through consolidated positive attitude and agreement of different opinions. The shared housing for elderly people is valuable as a residential alternative for elderly people, and differentiated supply of the shared housing for elderly people, according to residential area's characteristics, is suggested.

• Journal of the Korean housing association
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• v.21 no.5
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• pp.73-81
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• 2010

With rapid development of various information and communication technologies, to forecast future became important for coping with new environment. Experts in each field of study are forecasting future society, and considerable life scenarios are derived in the process. Life scenarios help people to approach and understand future circumstances easily. Therefore, to study future housing with life scenarios as materials will be helpful to establish the direction to the development of current housing. The purpose of this research is to examine what characterizes the housing functions and life behaviors of future house and what is changing from the housing functions and life behaviors of past and present. Content analysis was used as research method. The subject was 10 future forecasting books which reflects daily life in the house, and 1 episode relating residential space as 1 analysis unit, the total of 213 episodes were analyzed as materials. As a result, most of the life behaviors in the house are expected to be performed by robots instead of humans in the future. On the other hand, partial life behaviors are already being performed mostly by computer system, and another partial life behaviors show that the role-performance of them are not being totally by robots but partially with human.

• Korean Journal of Human Ecology
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• v.15 no.1
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• pp.177-185
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• 2006

The purpose of this study is to research middle school students' interests in the housing education contents of Technology Home Economics Subject - to classify the contents into three units, we have application of living space, indoor environment and equipments, support and repair of housing. This study has a subject of 529 middle schoolers living in Jeonbuk province. In this statistical analysis, SPSS program was utilized to analyze percentage, mean and standard deviation. These materials were also verified by t-test. The results of this research were as follows: Middle school students' interests in housing education contents stayed at a mid-level. There was a significant difference in contents interest according to their gender - boys appeared to have a higher interest than girls. On the basis of these results, it can be suggested that these results offer fundamental information for improving students' critical practice in their real life. Since this study has conducted a limited research with a topic of housing education only, it is essential that further research covering a wider array of themes be done in the future.

• Journal of the Korean housing association
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• v.17 no.6
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• pp.9-18
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• 2006

The purpose of this study is to find out the selection of housing type and the characteristics of dwelling of foreign students' residence in order to provide some information for better housing plans for foreign students in Korea. To analyze characteristics of dwelling, a questionnaire survey was conducted with 171 students who study in the university located in seoul, Korea. The results are summarized as follows: Overseas students in Korea can get from their house to school within 30 minutes and they spend more than 9 hours a day at home on average. Housing is one of the most important factors for oversea students. For the dormitory group, they chose their houses based on fee, distance from the school, stability, etc. The lodging group, chose their houses based on fee, distance from school, and Korean culture experience. The Go-Si-Won group chose their houses based on fee, distance from the school, privacy and so on.

• Journal of the Korean housing association
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• v.18 no.6
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• pp.35-44
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• 2007

The purpose of this paper is to find out the factors affecting the apartment price given three sets of variables such as characteristics of apartment building, apartment site, and location. Data of 1,579 housing units in 224 apartment complex sites in Ilsan city were selected from the housing information of four public and private housing sources in 2006. The first set of variables for physical features include housing size (pyoung), preferring-floor, building orientation, heating system and structure of entrance. The second set of variables for building were number of housing units, built year and rank of construction company. The third set of variables for location were distance from number of school, the subway station, distance of department store and park. For the analysis, the hedonic price model, which was one of the methods to estimate social convenience, was used along with the SPSS statistical program and regression analysis. The results are as follows, Firstly, in the structural characteristic variables, it was analyzed that all of the variables except facing affected the apartment price. Secondly, In the site characteristic variables, unusually all of the variables were not affected the apartment price in Ilsan city. Finally, the locational characteristic variables number of school, the subway station, distance of department store and park affected the apartment price. In case of Ilsan city, educational facilities was likely to positively contribute to the price of apartment.