• International conference on construction engineering and project management
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• 2009.05a
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• pp.685-691
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• 2009

Recently, public office building projects are being recognized by many construction engineers and researchers, as the critical projects in the construction industry. The project budgets have sometimes exceeded due to the lack of core knowledge, experiences, skills and experts concerned in cost planning and estimating in the pre-construction stage. It has been highlighted that planning and estimating effectively the cost of public office building projects as critical in the design stage. Within this context, some cost data books and systems, such as RSMeans cost data systems and Spon's price book, have been systematically developed and used by many construction cost managers and organizations in order to effectively estimate and use their project budgets. As a result of this research, a cost estimating model for finishes has been developed, considering the cost data used in public office building projects.

• Journal of Korean Society of Steel Construction
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• v.22 no.1
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• pp.55-65
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• 2010

To effectively secure and execute the national budget, it is very important to estimate the reasonable construction cost of each process in the construction of public facilities and works. The construction cost is generally estimated at the time when the design of the targeted structures has been completed. Without detailed sectional drawings and with only simple information on bridge structures in the planning stage or in the early design stage. it would be very difficult to predict the approximate construction cost. In this study, a more efficient and appropriate approximate construction cost estimation model in the planning stage and in the early design stage is presented and verified as reliable by analyzing the construction cost data of 61 existing steel box girder bridges from previous studies. The results of this study show that when the construction cost that was predicted using the construction cost estimation model in the design stage was compared with the cost from the conventional standards, the suggested model in this study produced results with a very high confidence level.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.329-330
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• 2023

The performance of the construction project is to be evaluated within 60 days of completion, according to relevant laws. It evaluates cost, construction period, design change, re-construction, safety, etc. for each project stage. And the project owners are inputting the evaluation results of the construction work into the construction project information system(CALS). The post-evaluation result information entered in this way can be referred to in the basic design of the construction project by referring to the related contents if there is a similar construction in the future. And It can also be used to predict and respond to the required period and cost by analyzing the accumulated data. In this study, in order to provide reference data that can be used in similar projects in the future, the latest analysis methods are reviewed and the possibility of future application is considered. Accordingly, this study intends to focus on the construction cost part among the indicators such as construction cost, construction period, design change, and re-construction that are currently being dealt with in post evaluation.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.44-54
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• 2013

As a green construction is a world-wide hot issue, Korean government is also putting forth a multilateral effort into reducing energy usage with setting aggressive goal under green growth policy. It is essential to analyse cost raised from designing and building green construction and benefit derived from the built facility for the sustainable green construction. However, compared to advanced countries in terms of green construction, there is lack of data and a systematic way for data collection and analysis in Korea. Without analyzing the cost-benefit of green construction, investors will hesitate to put his/her money into green construction and we can not expect its growth in construction industry. In this paper, cost of green construction was defined and categorized. Through case studies and various reports on cost-benefit analysis in advanced green construction countries, problems in terms of data collection and analysis in domestic green construction sector and improvement ways were suggested. The results of this study will contribute in classification of cost and benefit of green construction, data collection in systematic way, and increasing the feasibility of green construction via appropriate analysis on cost-benefit of green construction.

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.81-89
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• 2010

Since 2004, the government has changedthe cost estimate system to one of an actual cost basis in order to calculate the optimum construction cost by reflecting changes in circumstance on the construction site in a timely manner. Currently, this is being applied to public construction work forover a billion won of actual cost data in estimation by contract unit cost. However, directly reflecting actual cost, which for large-sized construction work was originally an average unit cost, to a small building, entails the application of a low discount rate for the cost of materials, labor, etc. and therefore can frequently give rise to cases in which the actual cost of work performed exceeds the contract sum, which in turn causes problems such as decreased revenues, bad effectson business operation, productivity, etc. Therefore, to apply actual cost to small-sized construction work (less than a billion won), there should be a plan to modify unit cost in a manner that can reflect project scale, etc. in order to resolve the problem of unit cost application of actual cost to small-building construction projects. The unit cost modification model for proper actual construction cost in small-scale construction projects developed by this study will help to increase the relevant productivity and proper gain, preventing the aggravation of business operations. Organizations placing orders are also expected to be able to secure a more realistic construction cost in arranging the budget.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.291-292
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• 2012

Progress in the construction project, the estimated cost of the measure is very important. Use preliminary estimate cost data for the prediction of construction cost. But, preliminary estimate cost data a clear calculation, there is no way. it is rely on the historical data and the past construction data. As a result, a significant difference in the actual construction cost and the predicted cost of the problem occurs. In this study, taking advantage of BIM Cost Prediction for efficient and rapid preliminary estimate BIM for building database through the study preliminary estimate cost data.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.249-251
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• 2013

The government has applied the Construction New Excellent Technology Endorsement System to enhance national competitiveness and advance domestic construction technology since 1989. Nevertheless, It's application hasn't been expanded to overall construction industry, due to insufficient verification of the cost effectiveness. So, the government has established the standardized cost estimation guideline to verify the cost effectiveness in 2011. This research classified the technology group based on 27 cases of the cost estimation reports to increase understanding of the cost effectiveness of the new excellent technology. It is expected to contribute establishing reasonable and feasible cost estimation standards.

• Journal of the Korea Institute of Building Construction
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• v.7 no.1 s.23
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• pp.63-70
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• 2007

The aims of this study are to draw the project risk factors by grasping the relation especially between the construction preparation cost calculation and the project risk factors in the project's bidding stage, and to draw the cost estimate based on the risk when the orderer or the constructer performs the project and the main factors in calculating the most suitable construction cost by clarifying the understanding degree of the influence between the risk factors and the construction cost. In addition, this study can give a help to the proper decision -making through the prediction of the construction preparation cost, and this study is expected to give the basic data in developing the assessment tool for the most suitable construction cost of the project.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.105-109
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• 2010

Nowadays, the construction of high-rise building is rapidly increasing. There are many cost-increasing factors to the management in the high-rise building construction. For large and complex projects like the high-rise building construction, the more systematic methods and tools are needed for cost control. It is important to identify major cost control items and to manage them for effective cost management in the high-rise building construction. This study proposes a method of identifying major cost-increasing factors in the high-rise building construction based on the Delphi method.