• Korean Journal of Construction Engineering and Management
• /
• v.16 no.4
• /
• pp.21-29
• /
• 2015

Construction cost index (CCI) has been published for last 10 years, it's contributed to update the historical cost data, analysis cost fluctuation and evaluate the market price for construction works with direct or indirect manner. CCI is a secondary or processed statistics using the basic statistics of input output table (IO table) and producer price index (PPI) from the Bank of Korea (BOK). So once the basic statistics change, it is required to modify the calculating model of CCI. Recently the BOK changed some fundamental principles and the base year (from 2005 to 2010), that can be used in IO table and PPI. This research analyzed the recent revision of basic statistics and their impacts on CCI, and improved the previous CCI model in response to it. Also the validity of new CCI was verified by analyzing the items and weights utilized in CCI and comparing the related index.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.2 s.30
• /
• pp.53-61
• /
• 2006

Korean Government started to publish Korean CCI(Construction Cost Index) again at February 2004 since CAK(Construction Association of Korea) stopped publishing it 1994. CCI is developed using the verified statistical data, that is, input-output table and producer price index by Korean Bank and labor unit cost by CAK. Though the method is available as it uses the verified statistical data, there is a limitation to reflect the characteristics of construction. For overcoming this limitation, this study suggests CCI development method investigating the input structure of labor and material cost for each type of construction project and applying the cost variations of the items.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.5
• /
• pp.77-84
• /
• 2006

Indexes have played an important role as a economic indicator or performance indicator in many industries for a long time. In construction industry, indexes, or Construction Cost Index(CCI), have been used to compensate for the gap of time in Estimate Using the Historical Cost Data from Feb. 2004. CCI is composed of index formula and resources. Existing literatures had used Laspyeres Index as a index formula. And, Leontief table, the bills of quantities, and information of price surveyor were used as a resource. When applying Laspyeres formula and the resources to calculating the CCI, the problems such as double application of price fluctuation, calculating the incorrect weights, may be generated. This paper analyzed the existing economic relevant indexes as well as Laspyeres formula. Thus, feasibility of them was analyzed using three practical cases of apartments. And then, Quantity based Base Period Price Index(QBPPI) was developed to consider the characteristics of construction more accurately.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• v.y2004m10
• /
• pp.83-86
• /
• 2004

Index adjusted ration method has been widely utilized in public construction secter for contract sum adjustment by price fluctuation. In this method. the Production Price Index are used for calculating the base ratio. but the PPI can't reflect the property of construction project in respect of the selected item and weight structure. In this research we prove the problem of using the index adjusted ration method in contract sum adjustment by price fluctuation. and improve it by using the construction cost index. which has the property of construction project. And the result. we figure out the difference between the PPI and CCI by $6.7\%$ in maximum value.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.72-76
• /
• 2015

Capital project benchmarking requires an effective cost normalization process to compare cost performance of projects accomplished in different time and location. Existing cost normalization approaches have been established based on the assumption that all required information for cost normalization is fully identified once a project is completed. Cost normalization, however, is sometimes required to evaluate phase-level outcomes of an ongoing project where the required information is not fully available. This paper aims to provide a cost normalization procedure for phase-based performance assessment. The procedure consists of three normalization steps: currency conversion, location adjustment, and time adjustment considering various scenarios where the required information is not fully identified. This paper also presents how the cost normalization procedure has been applied to the 10-10 Performance Assessment Program, which is a phase-based performance assessment system developed by the Construction Industry Institute (CII). Both researchers and industrial professionals can apply the cost normalization procedure to studies and practices regarding to cost estimation, feasibility analysis, and performance assessment.

• Journal of the Korea Institute of Building Construction
• /
• v.12 no.1
• /
• pp.108-114
• /
• 2012

Escalation method examining the changes in price index has been widely utilized in public construction projects. The previous escalation method determined estimated changes in price based on the average unit price of contract items over a period of time. In relation to this method, the issue has been raised that the fluctuation rates of previous method show different trends compared with other related price indices, as the influence of the small group of contract items with large unit prices overwhelms the others. This research suggested an improved escalation method which estimates the fluctuation rate by examining the changes in CCI (construction cost index) and applies it to the total amount or the partial amount deducted for labor cost in price escalation for previous bid price method. To verify the improvement, a case study is conducted on an educational facility, and the fluctuation rate was estimated in two different base periods (short term, long term). The results over the long term showed similar tendencies to those of related price indices, as well as significant differences in fluctuation rates compared to those of the previous method.