• Journal of Korea Planning Association
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• v.54 no.4
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• pp.26-37
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• 2019

It is necessary to implement a wide range of housing welfare policies that citizens can experience in order to improve residents' the quality of life, as it emphasizes the balance of supply and management of public housing. The purpose of this study is to analyze the factors affecting residential satisfaction considering the three hierarchical levels of individual, household, and area. In the background of the study, the individuals' quality-of-life satisfaction determined not only by the individual but also by the various influencing environmental factors. This study targets 1,736 households, 3,239 persons in 464 areas in Seoul. The main research results are as follows. At the level one, there were influencing factors such as age(-), education level and income, and housing area per person, recipient of basic living(-), period(-) and RIR (at the level two). At the level three, west-south region(-) and social mix affect the complex of public housing. In consideration of living infrastructure, the closer to public transportation, public facilities, and medical facilities, the higher the satisfaction of public housing. The results of this analysis suggest that public support needs to focus on individual household members, but there is a need for ways to link it with the complex and the region.

• Journal of the Korean housing association
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• v.14 no.3
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• pp.147-156
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• 2003

A small apartment housings in Korea, which is built mass-product from 1980s, are dissatisfied, in spite of good condition, due to the growing living areas and changing lifestyle of the residents. Many of them confronted with slum areas and the kinds of housing stock accumulated much more in Korean contexts. For the existing small houses, it could be discuss an adaptation model to the increasing requirement standards of the house residents; wider living area, new facilities and a style of new residence. A social policy for elderly people who are handicap in physical and economical aspects, is home stay system rather than national support. But it is not easy to find the three generation family house in Korea context, specially apartment house. This paper deals with the vertical unification typology of two dwelling units to one, in order to supply three generation houses by remodel existing small apartment houses constructed by Korea National Housing Corporation. The use of convert houses into vertical expansion are expected to be a house of three generation family, it can also enhance privacy against conflictive activities in a house. And also the merging types of two dwelling units into one can be used as a device to get rid of the monotonous characteristics and gain diversity in the declining stock housing.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.559-568
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• 2008

This paper analyzes Korean residential tenure choice for house which is the most important in Korean households' assets. Data used in the analysis is the data of Korean Labor and Income Panel Study for the period from 1998 to 2006 and with 2341 households. In this paper, a household chooses a housing tenure mode, either by renting or by owing house. We use a mixed-logit panel model as an estimation model to take into consideration household's heteroscedasticity of preference in tenure choice. It turns out that the heteroscedasticity is significant in households' tenure choice behavior, implying that Korean housing policy emphasizing supply side should consider the demand side.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.228-235
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• 2008

새정부 들어 주택의 안정적 공급을 위한 대책을 내놓고 있으나, 주택 수요 공급과 관련된 통계 및 정보의 종합적 관리 체계 미흡으로 주택수급상황을 파악하여 주택수급에 대처하는 주택하위 시장별 대응정보가 미비한 실정이다. 이에 따라 수급상황을 분석 및 제공하기 위한 정보시스템을 구축 "주택 수요"가 있는 곳에 "주택을 공급"하는 정책지원체계가 요구되고 있다. 이를 위해 본 연구는 행정생활권, 광역교통망, 주택사업위치, 공공 민간 사업지구 등의 GIS정보 기반에 주택 수요 공급 통계 및 정보를 분석하여 정책지원 및 대국민 서비스를 하는 정보체계인 주택수급지도(Housing Demand and Supply Mapping Model)의 구축방안을 제시하였다. 연구에서는 주택수급에 필요한 수요현황 및 예측 등 "주택수요정보"에 기초하여 주택건설, 공급, 재고 등의 "주택공급정보"를 분석하여 주택수급지도에 대한 기본설계 방안을 도출하였다. 향후 주택수급지도를 활용하여 주택수급상황을 한눈에 파악하고, 주택수요를 고려한 수요자별 맞춤형 주택공급정책을 수립할 수 있도록 지원함으로써, 지역별, 주택 규모별, 주택유형별, 인구계층별 주택수급 예측에 활용될 수 있을 것으로 기대된다.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.229-236
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• 2021

There has been a lot of research on the real estate market, but a lack of research on the supply and demand of housing supply in each region, reflecting the changes in population growth and supply. It is calculated as the transition probability of the Markov chain model by reflecting the data on the number of houses per 1,000 people in the past 35 years and the forecast data for population change by region, in terms of supply (housing) to demand (population) for factors on the real estate market. According to the calculation results of the real estate market by region, the housing supply to the metropolitan area such as Gyeong-gi, Incheon, and Seoul is expected to be insufficient for a considerable period of time, considering the population changes by region. To stabilize the real estate market, it was confirmed that it was necessary to actively apply the differentiation of housing supply by region. It is meaningful in terms of verifying long term trends in the real estate market by region that reflect the prediction of population change, and it is expected that the methods used in this study will be practical through the analysis results using the historical data.

• Land and Housing Review
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• v.12 no.4
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• pp.93-101
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• 2021

As the number of small households (1 to 2 persons per household) in Korea gradually increases, so does the importance of housing supply policies for small households. In response to the increase in small households, the government has been continuously supplying urban housing for these households. Since housing for small households is a sales and rental business similar to apartments and general business facilities, it is important for the building owner to calculate the project's estimated construction duration during the planning stage. Review of literature found a model for estimating the duration of construction of large-scale buildings but not for small-scale buildings such as urban housing for small households. Therefore this study aimed to develop and verify a model for estimating construction duration for urban housing at the planning stage based on multiple regression analysis. Independent variables inputted into the estimation model were building site area, building gross floor area, number of below ground floors, number of above ground floors, number of buildings, and location. The modified coefficient of determination (R_a²) of the model was 0.547. The developed model resulted in a Root Mean Square Error (RMSE) of 171.26 days and a Mean Absolute Percentage Error (MAPE) of 26.53%. The developed estimation model is expected to provide reliable construction duration calculations for small-scale urban residential buildings during the planning stage of a project.

• Journal of the Korean housing association
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• v.17 no.4
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• pp.65-72
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• 2006

Most of buildings have been deteriorated with time-elapse by reflection of the building location, material, environmental circumstances and so on. The performance would go down and be demolished if anything could not be done after constructed. The maintenance should be required to preserve a decent living condition or improve a inferior condition by various plans and practices. The maintenance plan needs various data such as a repair scope, a repair time, a forecasted cost, a plan of management and so forth. Among the above required data for planning the maintenance, the deterioration characteristics of the building components would be first analyzed. The deterioration pattern would be a key role to affect and make a maintenance plan. In this paper, it aimed at classifying the deterioration patterns of building components. A deterioration pattern would be analyzed between the cumulative repair cost and time-elapse and modeled with these relations. A deterioration patterns are classified into 4 types-a accelerated type, a straight type, a temporary type and a slowly type. As a result of this research, a accelerated type includes window, window frame, general paintings, general water proofing in building components. A straight type includes the lacquer paintings, furnishings in building components and water supply pipe, boiler, sanitaries in mechanical facilities and lighting in electric facilities. Based on these research results, further study should be conducted to include any other components and an estimating model.

• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.631-637
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• 2014

Recently, following the application of modular housing techniques to not only residential sector, but also to business sector, the scope of modular housing market b expanding. In the case of other developed countries, such markets are entering into the maturity stage, though the market in Korea is not fully formed yet. Thus, it is difficult to check its trend to estimated mid- to long-term prospects of the market. In this context, the study predicted demand of the modular housing market by using a non-linear prediction model based on time series analysis. To get the prospects for the modular housing market, the quantity of housing supply was estimated based on the estimated quantity of newly built housings, and assumed that a portion of the supplied quantity would be the demand for modular housings. Based on the assumption of demand for modular housings, several scenarios were analyzed and the prospects of the modular housing market was obtained by utilizing the non-linear prediction model.

• Land and Housing Review
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• v.4 no.1
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• pp.43-54
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• 2013

This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.425-450
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• 2016

Purpose: This study can provide a strategic advantage for the marketing information of CRM of apartment provider microscopically. It is also expected to contribute to policy for public housing supply in the macro. Methods: This study is contained theoretical research on CRM & Residential Satisfaction & the brand of Apartments with the search for prior literature. Establish a research model to derive a hypothesis. It performs measurements aimed at an apartment tenant. After the test the hypothesis proposes a conclusion. Results: CRM activity of the housing construction companies is confirmed that a significant positive influence on residential satisfaction and brand value. Conclusion: Housing construction companies through improved residential satisfaction have on the growth strategy that takes the brand value in regardless of environmental factors. it is necessary to focus on CRM activities.