• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.40 no.5
• /
• pp.527-534
• /
• 2020

A significant factor in construction work is cost. At early- and advanced-stage design, costs should be calculated to derive realistic cost estimates according to unit price calculation. Based on these estimates, the economic feasibility of construction work is assessed, and whether to proceed is determined. Through the Korea Institute of Civil Engineering and Building Technology, the construction cost index has been calculated by indirect methods after both the producer price index and construction market labor have been reprocessed to easily adjust the price changes of construction costs in Korea, and the Institute has announced it since 2004. As of January 2000, however, the construction cost index was released, and this has a time constraint on the correction and use of past construction cost data to the present moment. Variables were calculated to compute a rough construction cost that utilized past construction costs through surveys of the producer price index and the construction market labor force consisting of the construction cost index. After significant independent variables among the many variables were selected through correlation analysis, the construction cost index from 1970 to 1999 was calculated and presented through multiple regression analysis. This study therefore has prominent significance in terms of proposing a method of calculating rough construction costs that utilize construction costs that pre-date the 2000s.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.31 no.6D
• /
• pp.829-837
• /
• 2011

Construction cost estimation in planning phase which calculates the cost for performing construction tasks is used for various ways. Meanwhile, in the case of road construction, the existing cost estimating method in early phase based on numerical mean value of the past is not accurate to be used. This paper propose neural network model for estimating road construction cost in planning phase to solve the limit of current cost estimating method. The model was designed using past road construction bidding records, and variables of model were optimized through trial and error. The estimation result of the model was compared with regression analysis and government's standard and it was verified that the model is better in accuracy. It is expected that the proposed model will be used for road cost estimation in planning phase.

• Information and Communications Magazine
• /
• v.29 no.7
• /
• pp.89-96
• /
• 2012

정보통신공사의 공사비 산정은 그동안 원가계산 방식으로 이루어져 왔으나, 최근 들어 건설 및 전기분야에서와 같이 실적공사비를 활용할 수 있도록 제도 시행을 추진하고 있다. 그러나 실적공사비를 적용하기 위해서는 과거 공사비 실적자료를 현가화 할 수 있는 지수의 개발이 전제되어야 함에도, 그동안 정보통신공사는 한국건설기술연구원의 통신공사비지수(기타 특수건설의 최하위지수)나 한국은행의 생산지물가지수를 이용할 수밖에 없는 한계를 지니고 있었다. 이에 본 연구에서는 실적적산 데이터를 기반으로 정보통신공사의 특성을 고려한 정보통신공사비지수를 제시하고자 한다. 개발된 지수는 실적공사비 자료의 현가화 뿐 아니라, 물가변동에 따른 계약단가 조정(Escalation), 정보통신분야의 거시적인 동향을 파악할 수 있는 주요 지표로 정보통신공사의 사업비산정 및 관련 분야의 기초자료로 활용될 수 있다.

• Korean Journal of Construction Engineering and Management
• /
• v.2 no.2 s.6
• /
• pp.90-97
• /
• 2001

The paper considers non-deterministic methods of analysing the risk exposure in a cost estimate. The method(referred to as the 'Monte Carlo simulation' method) interprets cost data indirectly, to generate a probability distribution for total costs from the deficient elemental experience cost distribution. The Monte Carlo method is popular method for incorporating uncertainty relative to parameter values in risk assessment modelling. Non-deterministic methods, they are here presented as possibly effective foundation on which to risk management in cost estimating. The objectives of this research is to develop a computerized algorithms to forecast the probabilistic total construction cost and the elemental work cost at the planning stage.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2004.11a
• /
• pp.256-260
• /
• 2004

As a large portion of defence budget are alloted for military facility construction, reasonable budget estimation in the planning stage has been officers' main concerns. However the proper estimation of construction cost is difficult to be carried out due to the absence of systematic criteria. To improve the budget estimation for military facility construction, this study proposes a cost index model which can convert historical cost to current cost. Thus the developed cost index would enhance effectiveness of budget estimation process 3nd support reasonable decision making. This cost index model is developed by analyzing historical cost data with statistical methodology The study is executed by following process. First, factors which affect construction cost for the most are selected by analyzing historical cost data. second, the selected factors are categorized material cost, labor cost and equipment cost, and weights of those factors are calculated by dividing the cost of each factor by total item costs. Last, cost index is developed by using weighted average method.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.31 no.4D
• /
• pp.595-601
• /
• 2011

There is currently applied to the unit cost per a distance (KRW/km) for estimating the conceptual cost of civil work on basic planning stage of high speed railroad. This unit cost is an arithmetic average value based on historical data, which could be in big error. It also is difficult to explain the deficiency comparing the estimated cost derived from next basic design stage. This study provides the conceptual estimation model using by the parametric method and regression analysis. Independent variables are the distance and the geological materials (earth, weathered rock, soft-rock, hard-rock), extracting from the actual data to 36 contracts. The deviation between the unit costs estimated using the developed model and the actual cost data is presented in the range from -0.4% to +31%. This range is acceptable compared the typical range "-30% to + 50%". This model will improve the accuracy of existing method and be expected to contribute to effective total cost management and the economic aspects, reduce the financial expenditure.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.383-386
• /
• 2001

The ability to make good cost overruns predictions is a very important aspect of in major construction project. The probabilistic cost models can provide more reliable than traditional cost models which have been used in korea to prepare Bill of Quantities, if the actual cost data are sufficient enough to analyze the trends of the variables. The paper considers non-deterministic methods in a cost estimate. The method(referred to as the 'Monte Carlo simulation' method) interprets cost data indirectly, to generate a probability distribution for total costs from the deficient elemental experience cost distribution. The objectives of this research is to develop a method to forecast the probabilistic total construction cost and the elemental work cost

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.33 no.4
• /
• pp.1707-1718
• /
• 2013

Historical cost data estimating system has been introduced since 2004 in the construction industry. Based on contract prices of past projects, this estimating system estimates construction cost according to work types. The Korea Institute of Construction Technology (KICT) announces the historical cost data twice a year annually. The unit price of a small construction project is higher than large construction project due to the increase on production cost per work unit, equipment and labor cost, etc. However, the historical cost data estimating system is applied to project estimation uniformly regardless the construction project's size. This study compared and analyzed the historical cost data of large and small construction project to indicate the problem of historical cost date estimating system. The study derived that the unit price of a small construction project is 21.8% higher than that of large construction project.

• Proceedings of the KIEE Conference
• /
• 2015.07a
• /
• pp.1436-1437
• /
• 2015

"국가를 당사자로 하는 계약에 관한 법률" 시행령 제9조 1항 제3호 및 같은 법 시행규칙 제5조 제2항에 근거 전기공사의 예정가격의 결정기준은 (1)거래실례가격 (2)표준품셈 (3)표준시장단가 (4)견적가격 등 4가지 방법을 사용하고 있다. 특히 표준시장단가제도는 이미 수행한 공사의 계약단가만을 고려하여 발표하는 "실적공사비"제도를 계약단가, 입찰단가, 시공단가 등을 고려한 "표준시장단가"제도로 2015년 3월 1일부로 개정되었다. 제도는 시행되었으나 표준시장단가의 산정기준, 절차 및 방법 등 세부적인 제도가 미흡한 상황이다. 따라서 과거 실적공사비 산정방식을 검토하되, 계약단가, 입찰단가, 시공단가 등을 고려한 합리적인 표준시장단가의 산정방식을 제시함으로써, 예정가격결정시 적정공사비를 확보하고, 원 하도급간의 거래가격 투명성 및 객관성을 통해 전기공사의 품질 및 안정성이 확보될 것으로 사료된다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2004.11a
• /
• pp.290-295
• /
• 2004

Along with social changes, school buildings are getting complex and diversified unlike the past. However, objective data analysis on construction costs fall short. In particular, ordering agencies are in a great need of objective and practical construction cost management for on-budget construction and procurement of quality goods. This paper analyzes the design diagram for a newly built school with an order from the Daejeon Metropolitan Office of Education, and compares the analysis with those of other kinds of buildings. The results are: the total construction cost of one school unit is 8,017,596,000 won on average; the cost is in the order of building, machinery and equipment, electricity, communications and civil engineering; as to activity, RC construction takes account of $30.3\%$ of the total construction cost. 1'he cost of school construction per M2 is 838,000 won, which is 6th highest of 11 kinds of constructions and slightly lower than 950,000 won, the average price of comparative constructions. When it comes to the percentage, school building takes mote percentage of the total cost than comparative building while machinery and equipment, electricity and communications takes slightly less percentage. Through simple regression analysis of gross coverage, this paper suggests a model formula with which the total construction cost, construction cost in accordance with activity, how much main construction materials are to be used are predictable.