• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3D
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• pp.371-381
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• 2008

The systematic methodology for estimating construction cost approximately at planning and pre-design phase of a river facility construction project has not yet been established because of its unique characteristics including its relatively small project size in terms of cost. This research suggests a 4-level cost information structure and identifies critical factors affecting construction cost as a result of thorough analysis of accumulated historical cost data of river facility construction projects. Also, this research presents the framework of the approximate cost estimating methodology for river facility construction project a planning stage.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.87-95
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• 2008

The government wants to apply the construction cost estimating method based on historical data published in the first six months of 2004. Construction companies, however, require the proposed cost estimation model, to be improved which makes it difficult to predict a reasonable construction costs. This paper presents an improved historical data selection model after analyzing the problem of previous method throughout comparing contracted unit prices of reinforced concrete works selected by the previous model to market prices. The model which can select more feasible data would assist participates such as general contractors and sub-contractors to earn a proper profits.

• Journal of the Korea Institute of Building Construction
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• v.5 no.1 s.15
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• pp.111-121
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• 2005

This study purposed to derive a model to estimate appropriate construction costs for the application of the estimation system based on historical construction data. For this purpose, it analyzed data ($1999\sim2004$) on the construction costs of reinforced concrete apartments (Long-Lamina-type apartments), which have been highly standardized and have a lot of relevant objective data using statistical analysis techniques and developed an estimation model.

• Journal of the Korea Institute of Building Construction
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• v.13 no.1
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• pp.66-74
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• 2013

In the early stages of a construction project, the most important thing is to predict construction costs in a rational way. For this reason, many studies have been performed on the estimation of construction costs for apartment housing and office buildings at early stage using artificial intelligence, statistics, and the like. In this study, cost data held by a provincial Office of Education on elementary schools constructed from 2004 to 2007 were used to compare the multiple regression model with an artificial neural network model. A total of 96 historical data were classified into 76 historical data for constructing models and 20 historical data for comparing the constructed regression model with the artificial neural network model. The results of an analysis of predicted construction costs were that the error rate of the artificial neural network model is lower than that of the multiple regression model.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.77-81
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• 2015

The unit price contracting is the standard contracting method for highway projects in the U.S. As a result, state highway agencies have collected a large amount of historical bid data that they can use to determine engineer's estimates for future projects. The estimator must carefully consider various characteristics of a new project such as its location to determine an engineer's estimate as accurate as possible before bid letting. Higher cost estimates can result in the loss of the available budget and lower cost estimates may lead to deferral and delay of projects. The study uses the historical bid data obtained from Iowa Department of Transportation and develops a Geographic Information System (GIS) tool to visually show the variation of unit prices over the map using a spatial interpolation technique. The interpolation map can be used to estimate the unit price of the item at any location across Iowa. This noble method allows the estimator to effectively and fully utilize the historical bid data in a very time efficient manner and determine more accurate cost estimation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.367-370
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• 2002

The Elements of common temporary work in Construction Project have ambiguous work scope between client and builder. Also problems of non-breakdown, non-standardization in common temporary work are obstructive when contract. Finally they will be reached claim factors on the construction project. Because the common temporary work information management system is not built, We have to develop common temporary work information management system based on historical cost database for Construction Management. This system will successively accomplish the project in pre-construction step to standardize work items and to forecast the cost of common temporary work. Therefore feasibility study will be possible with historical database in new project.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.293-303
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• 2014

Recent historical unit price is presented by the Korea Institute of Construction Technology (KICT) and it is analyzed by data from large-scale projects. Therefore it has problem applying to small-scale projects. To indicate the problem, the study compared historical unit price of large-case project and small-case project in the case of civil engineering work, building construction, and mechanical facility work. As a result, average historical unit price of small-scale project was 26.6% higher than large-scale project. On the other hand, difference on the labor cost was 18.4%, difference on material cost and overheads were 8.18%. Moreover, the study proposed compensation method to correct to apply recent historical unit price to small-scale project.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.498-503
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• 2002

Connecting with cost, schedule, and quality in a construction project, resource management is one of the essential management elements. However, the material requirement planning is built at the beginning stage of construction and needs various concerned factors, it is limited to build the resource management planning on enterprise level. The disconnected communication among managements makes impossible to control historical data. In the construction project control system, the core of management elements is to manage cost and schedule information, therefore material requirement planning should be established based on historical data about EVM which is intergating schedule and cost. In this study, a resource management system concerning material requirement planning and attribute of procurement is suggested by connecting the historical data of EVM and the material requirement planning.

• Korean Journal of Construction Engineering and Management
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• v.7 no.5
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• pp.159-166
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• 2006

It was found that Korean Standard of Estimate which has been used as the only basis of cost estimate of public construction projects had some side effects such as jerry-build construction and over-estimation because it failed to reflect the current price and the state-of-the-art construction methods in a changing construction environment. Therefore, the government decided to gradually introduce historical construction cost into cost estimate of public construction projects from 2004. This paper presents analytic criteria and a process model for deducing more current and reasonable historical construction cost for contract items from not only previous contract prices but also all of the other bid prices that were not contracted. The procedure of estimating actual unit cost proposed in this paper focuses on the removal of abnormal values including strategically too low or high prices and the time correction. In addition, basic research is conducted for the correction of actual unit cost through the analysis of fluctuation of bid price depending on bidding types and rates of successful bid. It is anticipated that the effective use of the proposed process model for estimating actual unit cost would make the cost estimation more current and reasonable.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.468-471
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• 2001

The importance of early project planning is broadly recognized for construction projects. From the planning step, If extensive historical data related with the project is applied effectively, It can be major resource for estimating cost and project scope. However, The accumulation, analysis, and application of historical data is not sufficient in Korea. So useful information of construction project has disappeared. In order to solve the problems, Project Historical Data Management Systems is need to be developed. The purpose of this study is to analyze current problems and to find the method to utilize historical data in similar project.