• The Korean Journal of Applied Statistics
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• v.30 no.2
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• pp.271-280
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• 2017

Real-estate values and related economics are often the first read newspaper category. We are concerned about the opinions of experts on the forecast for real estate prices. The Box-Jenkins ARIMA model is a commonly used statistical method to predict housing prices. In this article, we tried to predict housing prices by combining independent component analysis (ICA) in multivariate data analysis and the Box-Jenkins ARIMA model. The two independent components for both the selling price index and the long-term rental price index were extracted and used to predict the future values of both indices. In conclusion, it has been shown that the actual indices and the forecast indices using ICA are more comparable to the forecasts of the ARIMA model alone.

• Journal of the Korean housing association
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• v.17 no.4
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• pp.93-100
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• 2006

The purpose of the study was to analyze the appropriateness of space in multi-family housing by examining the current conditions of space, space norms and deficits, satisfaction with and needs for the spaces of individual rooms. The data came from the survey with 412 households living in Haeundae New Town, Busan and were analyzed with descriptive statistics. The appropriateness of space were mainly investigated in terms of housing size, number of bedrooms, and number of bathrooms. In terms of current space conditions, the highest portion of the households live in apartments with $20\sim30s$ pyong, 3 bedrooms, and 2 bathrooms. It was found that the space norms included housing with $30\sim40s$ pyong, 3 bedrooms, and 2 bathrooms. Households in current study tended to have some space deficits, especially in housing size and number or bathrooms. In general, the satisfaction with the current space of individual rooms were generally low except living room and master bedroom. It was also found that the households were more likely to make the second biggest bedroom bigger than now. The stages of family life cycle has significant effects on needs for the spaces of several rooms, such as dining room, room2, and room3.

• Journal of the Korean housing association
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• v.25 no.5
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• pp.73-82
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• 2014

The purpose of this study is to identify U.S. Baby Boomers' intention to move and their reasons for moving after retirement, and to examine the associations between their socio-demographic characteristics and housing characteristics, and their reasons for moving after retirement factors. A total of 403 usable data were collected through an online survey using a self-administrated questionnaire. For data analyses, descriptive statistics, factor analysis, t-test, and ANOVA were used. Almost 30% of the total respondents considered moving and 15% were strongly agreed to move after their retirement. The most frequently mentioned reasons for moving after retirement were 'a place with good weather', 'being close to leisure activities', and 'a change or decline of my current neighborhood'. Four factors of reasons for moving after retirement (quality of residential environment, need assistant, proximity to activities, and proximity to family/friends) were identified. Age, marital status, number of household, housing type, homeownership, length of residence, and number of bedroom were significantly associated with the four factors of reasons for moving. The results of this study provide a better understanding to U.S. Baby Boomers' housing behavior after retirement which is 10 years faster than Korea, and suggest insights of housing plan for Korean older adults.

• Journal of the Korean housing association
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• v.22 no.4
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• pp.93-102
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• 2011

The purpose of this study is to suggest unit design considerations for college student's rental houses. To achieve this purpose, life pattern, residential space usage and housing needs were investigated. Data were collected by in-person interviews. Interview participants were 37 single undergraduate students living near the Shinchon station subway line 2. Subjects were selected by housing types-a Gosiwon, a boarding house or an one-room house-. Qualitative approaching method was used, and quantitative analysis was additionally employed to count keyword found during the interviews. SPSS window version 14.0 was used for the descriptive statistics and the analysis of the items with multi-response analysis. The major findings are as follows; a personal space for each resident with a common kitchen and a bathroom was mostly desired for the unit. Therefore, Two diagrams would be used as examples to explain the new concept of unit planning.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.217-223
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• 2007

지속적인 주택공급 증가에 따라 전반적인 주택보급률은 상승하였으나 주택하위시장별로 수급이 차별화되고, 수요자의 요구도 다양해짐에 따라 주택정책의 수립에 있어서 양적정보 뿐만 아니라 지역적으로 세분화된 주택통계에 대한 질적 정보 수요가 높아지고 있다. 이중 주택공급통계(housing supply statistics)는 건축물의 건설, 사용, 수선 및 보수, 폐기의 각 생애주기(life-cycle)별로 인허가, 착공, 분양, 준공, 입주통계 등을 생산한다. 하지만 통계생산시 발생하는 누락 오기, 정보시스템의 미비 연계부족 등의 이유로 신속하고 정확한 통계 생산이 곤란한 실정이다. 본 연구에서는 이러한 문제를 해결하기 위해 시스템적 통계 생산방안을 모색하고자 주택공급통계를 중심으로 통계 및 시스템 현황을 분석하고 주택 통계와 GIS를 연계한 통합데이터베이스 구축과 시스템 정비방안을 연구하였다.

• Korean Institute of Interior Design Journal
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• v.24 no.4
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• pp.99-110
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• 2015

The purpose of this study is to identify pre-elderly's housing mobility related characteristics (reasons for moving, change of personal life after move, housing attachment, and plan to future move) and to examine the associations between their socio-demographic characteristics and housing characteristics, and their housing mobility related characteristics. A total of 200 usable data were collected through personal survey using a questionnaire developed by the researcher. Samples were selected in Seoul and new towns in the capital area and a survey conducted from February, 2014 to December, 2014. For the analyses, descriptive statistics, factor analysis, t-test and ANOVA were used. The most frequently mentioned reasons for moving were 'a good place for nature and retirement life'. Age, education level, liiving expenses, locaion, tenure status, and housing size were the variables to show significant difference to reasons for moving. Respondents experienced positive personal life changes after moving, especially, 'physical health' and outgoing activity'. Respondents who moved to a new town was more positively changed. Personal life changes was the most important variable associated with 3 factors of housing attachment. Location, tenure status, housing size were the major variables to show differences to housing attaachment. Also, personal life changes after moving and housing attachment were the important variables affecting a plan to future move. In other words, the respondents who do not plan to future move showed higher positive life change and strong housing attachment.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1155-1167
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• 2009

We made a new sample design for life and consciousness survey of Kyungpook people in 2007. We used the 10% sample survey data of 2005 population and housing census as a survey population. After stratification, we allocate proportionally samples within strata after examining various characteristics in previous survey, which includes economic activity state, an income level per year, and housing possession. And we calculated weight in a new sample design and derived estimators and a formula of standard error using the weights.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.875-888
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• 2008

Mosaic plots, proposed by Hartigan and Kleiner (1981, 1984), are very useful in visualizing categorical data. In mosaic plot, multi-way classified cell frequencies are represented by rectangles with proportional area. The plot is easy to understand while preserving the information contained in the data. Plot's appearance, however, does change substantially depending on the order of variables and the orders of categories with variable put into the plot. In this study, we propose the algorithms for ordering variables and categories of the categorical data to be explored via mosaic plots. We demonstrate our methods to three well-known datasets: Titanic, Housing and PreSex.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.31-34
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• 2023

주택 매매에 있어서 가격에 대한 예측은 매우 중요하지만, 실거래 발생 전까지는 정확한 가격을 알 수 없다. 그렇기에 주택가격을 예측하는 많은 연구가 진행되어왔다. 주택가격을 결정하는 영향요인은 크게 주택의 내부요인과 주택의 외부 요인으로 구분되는데, 내부적인 요인 (공급면적, 전용면적, 층, 방 개수 등)에 대한 연구가 많이 진행되었다. 하지만 외부적인 요인 (위치 요인, 금융요인 등)에 대한 연구는 미비하였다. 본 연구는 주택 매수자 관점에서 가격 예측 시 외부적인 요인 역시 중요하다고 판단하여 외부요인을 적용하고자 한다. 본 논문에서 제안하는 방법은 다양한 외부요인 중 주택의 위치 정보를 활용하여, 해당 정보 기반으로 도출 가능한 데이터를 추가한다. 또한 이용량에 따른 지하철역 데이터를 추가하여 관련된 여러 영향요인들을 분석 및 적용 후 머신러닝 기반 예측 모델을 생성한다. 생성된 모델들에 주택매매 실거래 데이터를 적용하여 예측 정확도를 비교 후 높은 정확성을 보이는 모델 결과에 주요하게 영향을 끼치는 요인에 관하여 기술한다.

• Journal of the Korean housing association
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• v.9 no.3
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• pp.107-118
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• 1998

In order to provide the basic data for planning of stairways design in elderly housing, the study of Ergonomics were exmined. 3 old women and 3 female subjects were tested: 1) The relations between blood pressure and pulse: In case of the old, blood pressure was the highest at 13 cm and pulse was the highest at 23 cm. But in case of the young, the former was the highest at 23 cm and the latter was at 13 cm. 2) EMG: According to the height of stairs, the significant differences on the statistics were not seen. 3) Riviewing that biological characters according to the finishing materials, in case of the old groups, they feel most stable, as they up the wooden stairs. While they feel very dangerous, as they up the stairs where carpet is on. In the biological characters according to the stairs heights and the finishing materials, the most stable conditions for the old are 15 cm-high-stairs, wooden. And even if the stairs used inside the house, the installment of the handrails at both side must be considered.