• 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 Environmental Science International
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• v.14 no.5
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• pp.473-480
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• 2005

The cost of the construction and management of new apartment buildings was evaluated using a monetary analysis and an emergy concept to provide a new perspective regarding the housing policy of Korea. The systems of analyses were typical apartment buildings with an area of $76.03m^2$ per household in Korea built on the same size of land area. Three apartment buildings with different stories were evaluated and compared; 5-story, 15-story, and 20-story apartment buildings. The durable years of those apartments were assumed to be 40 years. The total cost of the construction and management of an apartment building was divided into three categories of construction, land purchase, and management. A 20-story apartment showed the highest cost and a 15-story apartment the lowest in the monetary cost analysis. In contrast, the emergy evaluation revealed a different pattern in the cost of construction and management, the cost increasing from a 5-story apartment to a 20-story one. This means that the higher the apartment constructed, the greater the cost in terms of real wealth. This result suggests that new evaluation methodologies like the emergy analysis should be used together with the monetary analysis to provide better insights on the national housing policy.

• Journal of the Korea Institute of Building Construction
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• v.8 no.6
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• pp.65-74
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• 2008

The aim is to get comprehensive view point for the price of apartment. Apartment construction cost is the sun of land cost and building cost. Land price reflects the value of location where building stands. When the gap between price and affordability is narrow enough, effective demand promote apartment construction. The today's trends of rising price, which began in apartment housing, spreads to real estates market and finally overall consumer price. Problem is that price is decided only by supplier's interest. Equilibrium-pricing is common process in housing market. However it is important to review hedonic price and the factor of housing services and focused on the affordability of demanders. AHP analysis was used to study real needs and preference of demanders and dealt with 200 interviewees with brief checklists. We found that social factor is more important than building cost or site development. Especially location of apartment is most important to affect environment quality and accessibility to facilities.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.98-106
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• 2005

The construction cost index and the forecasting model of apartment house can be efficient for evaluating the validness of the fluctuating price, and for making guidelines for construction firms when calculating their profit. In this study the previous construction cost index of apartment house was improved, and the forecasting model based on X-12 ARIMA was developed. According to the result, during the last five years the construction cost, excluding labor expense, has risen approximately to 22.7%. And during next three years, additional 16.8% rise of construction cost is expected. Those quantitative results can be utilized for evaluating the apartment house's selling price in an indirection, and be helpful to understand the variation pattern of the price.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.143-147
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• 2010

Due to the diversification and complication of construction projects, controlling risks from the early design-planning phase gives huge impact on success of the construction project. As a part of managing uncertainties it is also important to estimate the project cost several times. Especially, estimating project cost in the early stage gives effects on making a budget for projects. This study estimated the apartment project cost using case-based reasoning(CBR), which is the process of solving new problems based on the past problems. For this, we deduced the apartment cost influence factors which can be gathered in the early stage of project. Based on the factors we established the database for apartment project and calculated the attribute value, attribute similarity and case similarity. Although we retrieve the most similar case from the database, it is very hard to utilize it directly due to the uniqueness of each project. So, Genetic Algorithm(GA) was applied in revising the cost of the retrieved-case. Therefore, the accuracy of the prediction was improved by GA optimization.

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.139-147
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• 2009

Accurate construction cost estimation in the initial stage of building project plays a key role for project success and for mitigation of disputes. Total construction cost(TCC) estimation of apartment projects in Vietnam has become more important because those projects increasingly rise in quantity with the urbanization and population growth. This paper presents the application of artificial neural networks(ANNs) in estimating TCC of apartment projects. Ninety-one questionnaires were collected to identify input variables. Fourteen data sets of completed apartment projects were obtained and processed for training and generalizing the neural network(NN). MATLAB software was used to train the NN. A program was constructed using Visual C++ in order to apply the neural network to realistic projects. The results suggest that this model is reasonable in predicting TCCs for apartment projects and reinforce the reliability of using neural networks to cost models. Although the proposed model is not validated in a rigorous way, the ANN-based model may be useful for both practitioners and researchers. It facilitates systematic predictions in early phases of construction projects. Practitioners are more proactive in estimating construction costs and making consistent decisions in initial phases of apartment projects. Researchers should benefit from exploring insights into its implementation in the real world. The findings are useful not only to researchers and practitioners in the Vietnam Construction Industry(VCI) but also to participants in other developing countries in South East Asia. Since Korea has emerged as the first largest foreign investor in Vietnam, the results of this study may be also useful to participants in Korea.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.228-229
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• 2021

Planning/planning stage Construction cost prediction is very important. In particular, flexible thinking is required to predict the construction cost by reflecting rapid market changes and current conditions. Therefore, in this study, we tried to consider the process for calculating the construction cost of an apartment house in a more accurate planning/planning stage. First, cases were collected based on the classification system by construction type. Second, the construction cost was predicted using the case-based reasoning technique. Third, the composition ratio by construction type of the most similar case was applied to the derived construction cost. Finally, the construction cost was predicted based on practical corrections reflecting the market and field conditions.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.48-49
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• 2019

The number of disputes over defects after completion of construction work in apartment buildings is increasing every year. In this situation, the prediction of reasonable defect repair costs is very important. In this paper, we are going to collect basic data for predicting defect repair costs through the correlation analysis of the construction period and defect repair cost of apartment houses. For this purpose, first of all, the construction period and defect repair cost of apartment houses were analyzed to analyze the construction period for each type of work, the construction period for each project type, and the construction period for each standard calculation. Next, the correlation between defect repair cost and the independent variables of the candidate was conducted. According to the analysis, the ratio of framing air, the ratio of finishing air, and the number of delay days showed strong correlation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.153-154
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• 2011

In Korea, the apartment supplier should satisfy the apartment residents' demand on the defect repair found in apartment housing by the law of Management of Apartment Complexs. But in the cost of defect repair, not only the actual defect repair cost, but also the cost of residents' complains are contained. So in this analytic study, the actual use state of defect deposite during 4~10 years after moving in are analysed base on actual data of 15 apartment complexes. In this study, about 66% of defect repair deposites are used to actual defect repair and only 34% of defect repair cost are spent to satisfy the demand of apartment residents'.

• Korean Journal of Construction Engineering and Management
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• v.10 no.2
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• pp.132-144
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• 2009

In this study, the basic data for calculating the proper construction cost as minimizing the uncertainty at the stage of forecasting construction cost with the basis of the analysis on the actual construction cost within completed domestic public apartment house. In this regard, 23 public apartment houses by each region which were ordered by the Korea National Housing Corporation and completed from 2004 to 2007 were selected as the objects of study. Four works such as common temporary installation, construction work, civil work and machine/equipment work which are the important direct cost items based on the actually inputted and settled construction costs were classified by completion year, region, architectural area, and the distribution type considering inflation rate. The sequent actual construction costs per 3.3m2 were compared and analyzed by each work, the proper construction costs were analogized and the calculating formula were presumed with the basis of average actual construction costs to be analyzed and presented.