• Korean Journal of Construction Engineering and Management
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• v.8 no.6
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• pp.178-187
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• 2007

As the government has enforced recently the policies on the distribution of the housing, the construction cost of multi-family housing projects has increasingly become very sensitive and political issue. However, it is difficult to predict the construction cost in planning and design phase of the project because the Bill of Quantity of the multi-family housing projects was composed of breakdown structure based on each work package. To predict the construction cost in planning and design phase for multi-family housing projects in more effective and reasonable way, this study developed the cost breakdown structure based on spaces using Delphi method. The Cost Breakdown Structure (CBS) based on spaces for multi-family housing projects basically consists of three parts: (i) Building part; (ii) Non-building part; and (iii) Additional part. The characteristics of spaces in multi-family housing projects are fully taken into consideration. Then these three parts were subdivided into work packages in terms of work tasks. Additionally, the usefulness and effectiveness of Space CBS in this paper were validated by analyzing the BOQs of several collected sample projects and matching with Space CBS afterwards.

• KIEAE Journal
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• v.16 no.1
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• pp.47-55
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• 2016

Purpose: Long-life housing causes unavoidable cost increase while providing higher durability, flexibility, and repair easiness compare to those of normal apartment. The effectiveness should be evaluated considering the level of passing mandatory Long-life housing Certification System when supplying specific size of apartment complex. Thus, it is essential to identify the estimated costs and the obtainable grade by applying the optional element technologies selectively during the design phase. This study aimed to suggest the technology influence matrix(TIM) to support decision-making of element technologies in planning stage of long-life housing. Method: The technology influence matrix was established based on the property information about applicable element technologies for long-life housing such as construction methods, interface types, cost data, and certification-related characteristics. The usefulness of TIM was verified through case study, in which TIM was applied to the exclusive housing unit and the influences from four areas of quantity, cost, certification, and schedule were identified and calculated. Result: TIMs covering four areas representing the essential planning factors were developed, and are expected to contribute to sound decision-making in planning long-life housing.

• Journal of the Korean housing association
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• v.21 no.2
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• pp.59-67
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• 2010

The maintenance cost plays a important role to plan the scale of the apartment housing such as a number of household, building area and building type. Therefore, it is required to forecast the cost considering various maintenance characteristics. The maintenance characteristics are floor area, number of household, heating type, site area and etc.. In addition, the maintenance cost are classified into 5 area. These are a personal expense, facility maintenance cost, energy and water cost, insurance and sanitary cost. These five cost area are related with various characteristics and brought up the estimation model using the stepwise multiple regression analysis. The energy and heating cost share over the 50% in the total cost and the personal expense cost shares about 40%. The personal expense cost per area is 5,272 won/$m^2{\cdot}yr$ irregardless of heating type and the district heating type is a higher cost than other type. In facility maintenance cost, the central heating type is 2,015 won/$m^2{\cdot}yr$ and higher than other type. The estimation models have good statistics in each model. Most of the model have a determination coefficient over 0.7 and Durbin Watson value between 1.5 and 2.5.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.246-247
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• 2019

This study was conducted to provide useful information to enable planned repair and cost planning during the operation and maintenance phase of aged multi-family housing. For this purpose, The concept of probabilistic maintenance cost analysis considering the risk factors of the aged multi-family housing is presented in the following six steps. 1. Risk factor investigation and analysis 2. Classification and deriving of maintenance cost 3. Investigation and deriving cost maintenance cost of old apartment house 4. Analysis of expert questionnaire 5. Analysis of Monte -Carlo simulation 6. Probabilistic maintenance cost Deriving the result. This study has limitations that need to be verified by applying actual data.

• Journal of the Korean Wood Science and Technology
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• v.19 no.3
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• pp.45-52
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• 1991

To investigate opportunities for wood frame housing and to activate wood frame house construction, trends of construction activities. preference about housing, and building codes related to wood frame housing were discussed. And two models of wood frame house were developed and construction cost was analyzed to compare with comparative masonry houses. The results obtained were as follows: 1. While 77.8% of people prefer single-family houses, majority of people(74.9%), ironically, possess multi-family houses such as apartments Wood work cost was ratio of 4% of total building cost. while wood material cost accounted merely for 11 % out of total building material cost. 2. Building code was not major barrier to residential house at height under 13m. The building code regulated major structural member and family boder wall of multi-family house to be built with fire retardant material. 3. The proper wood frame house was analyzed of town house or villa type locating in suburban of big city with hot ondol system for the upper middle class. 4 There was no difference in construction cost between western style wood frame house and comparable masonry house, but construction cost for Korean style wood frame house is 27% higher than that of comparable masonry house. It was necessary to reduce materials and cost down by prefabrication technique for both style of wood frame house.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.161-166
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• 2011

This research was conducted in order to suggestion management program of Happy house center which facility of detached housings, multi family housing, and semi-detached housing management. This study's purpose is to systematically help create a district customized co-management housing management system among detached housing area by reflecting resident opinion and simultaneously provide basic research. The area of research is Sanjoen district in Ulsan city that compact old detached houses. The research study's results are follows: First, the overall survey results showed that most respondents demanded program of happy house center for housing energy deduction method and support of house insulation cost and heating fuel cost. Second, happy house center try to order of priority or housing maintenance and seek of cost deduction plan. Third, happy house center propose the Maeulmandeulgi(Machizkuri) program or housing management plan for residents' talent contribution.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.226-227
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• 2019

The basic type construction cost which is the base of the building cost estimation is being adjusted according to the price changes by utilizing the apartment construction cost index in order to flexibly operate it. In this study, we analyzed the change trends and characteristics of the housing cost index for the basic type building cost model project operated from September, 2012 to March, 2018. As a result, the increase in material costs is slight while the share of the labor cost increased in the construction cost due to the rise of labor unit price, leading to a perceived increase in sensitivity of labor costs. We should be careful to keep the sensitivity of the material cost and the labor cost to an appropriate level so that the index may not be distorted.

• Journal of the Korean housing association
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• v.22 no.6
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• pp.51-60
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• 2011

The maintenance cost depends on various factors such as building volume, floor area, number of household and so on. The maintenance cost of the apartment housing is affected by the maintenance type, building physical factor, sociogeographic aspects. Among these, the maintenance characteristics is represented and made up by the total floor area and number of household which means main factor to provide the building scale roughly. In this paper, it aimed at modelling the estimation function of the maintenance cost with the total floor area and number of household and analyzing the elasticity of the two factors. Although items of maintenance cost are various in general cost, repair cost and so on, we classified these items into the 5 categories. 5 categories are a general cost, a facility maintenance cost, a utilization cost, insurance and sanitary cost. The estimation function used a power function and it has better goodness-offitness than any other estimation methods in statistics. A power function has a three curve types with concave and convex and linear style to the origin.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.93-100
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• 2016

Long-life housing means a housing which structural members (Support) such as columns and floor are maintained for a long period of time and the housing can be used for approximately 100 years by replacing components (Infill) such as walls and furniture. The government established "Certification standards of long-life housing construction" on December 24, 2014, requiring the long-life housing certification for construction of apartment houses for over 1,000 households. However, it is necessary to prepare an incentive measure which could be granted to construction related personnel and housing owners due to the effectiveness of such system and recognition that the initial construction cost of long-life housing is high. The purpose of this study is as follows. First, the reasons and necessity of long-life housing cost increase for each construction company, housing owner, infill component manufacturer and designer which are long-life housing related personnel are determined. The direction of incentive grant for supplying long-life housing based on the determined items is established. The result of this study is as follows. First, a special treatment which is higher than the alleviation of construction standards according to the previous ordinance is necessary for construction companies to secure the business feasibility. Also, incentives such as the provision of service space and wide balcony are necessary to improve the preference level of parceling out. Second, financial incentives such as financial support for housing purchase, reduction and exemption of tax (acquisition tax and registration tax), and support of maintenance cost are required for house owners. Third, it is essential to increase opportunities to participate in the market for infill component manufacturers by applying additional points for PQ. Fourth, it is needed to provide compensation for additional human resource and time at the time of designing to designers by preparing the long-life housing design cost standards.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.171-180
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• 2005

Public rental housing is constructed, owned, and managed by the public sector. The public institution for the public rental housing controls the whole building life cycle from the construction to the demolition. The construction company for the house built for sale is strongly interested in the cost for the initial investment, while the public institution is more focused on the maintenance cost for the preservation of the buildings Nevertheless, the maintenance cost of the public rental housing has been only managed as the accounting factor without the systemic research and analysis on the actual condition. This paper shows how expenses are related to the degree of obsolescence and presents the differences of the maintenance costs by the housing area and expenditure trends (vs time) of the maintenance costs, through analyzing time series data of public rental housing maintenance cost. Further, this paper helps understanding the causes of the differences of the maintenance costs by housing areas and characteristics of the expenditure trends. After all, this paper contributes to the improvement of the reliability and the practicality for the Life Cycle Cost modeling and the maintenance cost estimating.