The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach

Koo, Choongwan; Hong, Taehoon; Hyun, Chang-Taek

doi:10.1016/j.eswa.2011.01.063

Cited by 66 publications

(36 citation statements)

References 8 publications

(35 reference statements)

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“…As organizational and project management functions (e.g., corporate strategy, management, social and organizational contexts, etc.) might be affected by the implementation of BIM, in future, these factors should be thoroughly learned [45][46][47].…”

Section: Discussionmentioning

confidence: 99%

“…According to the creation of 5D (cost denotes the fifth dimension) information in BIM, the difficulty and workload of short-cycle costs analysis can be reduced while the efficiency and accuracy of dynamically maintaining costs data can be greatly improved [47,48]. In addition, through building information models that reflect actual costs information, it is easy to identify which models are not assigned with the costs data when conducting quantity take-off or real-time inventory management [49].…”

Section: D Accurate Planning For Decision-makingmentioning

confidence: 99%

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A Project-Based Quantification of BIM Benefits

Hou

Wang

et al. 2014

International Journal of Advanced Robotic Systems

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In the construction industry, research is being carried out to look for feasible methods and technologies to cut down project costs and waste. Building Information Modelling (BIM) is certainly currently a promising technology/method that can achieve this. The output of the construction industry has a considerable scale; however, the concentration of the industry and the level of informatization are still not high. There is still a large gap in terms of productivity between the construction industry and other industries. Due to the lack of first-hand data regarding how much of an effect can be genuinely had by BIM in real cases, it is unrealistic for construction stakeholders to take the risk of widely adopting BIM. This paper focuses on the methodological quantification (through a case study approach) of BIM's benefits in building construction resource management and real-time costs control, in contrast to traditional non-BIM technologies. Through the use of BIM technology for the dynamic querying and statistical analysis of construction schedules, engineering, resources and costs, the three implementations considered demonstrate how BIM can facilitate the comprehensive grasp of a project's implementation and progress, identify and solve the contradictions and conflicts between construction resources and costs controls, reduce project over-spends and protect the supply of resources.

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Section: Discussionmentioning

confidence: 99%

Section: D Accurate Planning For Decision-makingmentioning

confidence: 99%

A Project-Based Quantification of BIM Benefits

Hou

Wang

et al. 2014

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

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“…According to the study of Koo et al (2011), it was found that, in the CBR method, the relationship between the case similarity and the prediction accuracy is not always proportional. That is, although the case similarity of a given case is very high, the prediction accuracy of the given case can be extremely low (refer to the red line circle (A) of SI Fig.…”

Section: (Iii) Establishment Of the Filtering Enginementioning

confidence: 99%

“…The S-CBR model can be developed by combining the basic CBR approach with the optimization process using genetic algorithm (GA). Similarly, in the previous studies (Hong et al 2012c(Hong et al , 2012d(Hong et al , 2012e, 2013bKoo et al 2011Koo et al , 2013Koo et al , 2014aLee et al 2014), an advanced CBR (A-CBR) model was developed to predict the unknown value by combining the basic CBR approach with a filtering mechanism using artificial neural network (ANN) model and multiple regression analysis (MRA) model as well as the optimization process using GA. Although the A-CBR model was developed to solve the weakness of the basic CBR approach (i.e., its lower prediction accuracy compared to those of ANN and MRA models), the development process of the A-CBR model was very complicated.…”

Section: Comparison Criteria 1 (Building-level: Averaging Approach Usmentioning

confidence: 99%

Development of a Dynamic Incentive and Penalty Program for Improving the Energy Performance of Existing Buildings

Koo

Hong

2017

Technological and Economic Development of Economy

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Abstract. The positive effectiveness of energy policy instruments such as national carbon emissions reduction target (CERT) and energy performance certificates can be achieved by encouraging the voluntary participation of the public in the energy-saving campaign. Towards this end, this study aimed to develop a dynamic incentive and penalty program for improving the energy performance of existing buildings. Four types of incentive programs and four types of penalty programs were established based on three comparison criteria. As a building-level, the first comparison criterion is the averaging approach based on similar cases that can be retrieved using a simplified case-based reasoning model. As a community-level, the second comparison criterion is one-step higher operational and letter rating than the grade of a given building. As a national-level, the third comparison criterion is the operational and letter rating as the minimum criteria for achieving the national CERT. In this study, an elementary school facility located in Seoul, South Korea was selected to validate the applicability of the developed program. As a result, besides the category benchmark, the various comparison criteria should be provided to the public to encourage the voluntary participation of the public in the energy-saving campaign.Keywords: policy on sustainable development, building energy performance certificate, incentive and penalty program, operational rating, voluntary participation, case-based reasoning.JEL classification: C38, C45, C61, D78, L74, L78, Q01, Q48, R28.

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“…This study aimed to ensure the higher prediction accuracy (i.e., the advantage of the MRA and ANN models) as well as the higher explanatory power (i.e., the advantage of the basic CBR model). In previous studies, the A-CBR model was used to estimate various unknown values, such as electricity consumption, gas energy consumption, construction cost, construction duration, and the optimal size of expressway service area (Hong et al 2012a(Hong et al , 2012b(Hong et al , 2012cJeong et al 2015;Koo et al 2010Koo et al , 2011Koo et al , 2014dKoo, Hong 2015a, 2017. In particular, Koo et al (2013) and Lee et al (2014a) developed the A-CBR model to estimate the MADSR data in the 54 unmeasured locations in South Korea.…”

Section: Step 2: Estimation Of the Madsr Data In The 54 Unmeasured Lomentioning

confidence: 99%

Development of the Monthly Average Daily Solar Radiation Map Using a-Cbr, Fem, and Kriging Method

Koo

Hong

Jeong

et al. 2017

Technological and Economic Development of Economy

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Abstract. Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decisionmakers. However, there is a limitation in improving the accuracy of the MADSR map due to the lack of weather stations. This is because it is too expensive to measure the actual MADSR data using the remote sensors in all the sites where the PV system would be installed. Thus, this study aimed to develop the MADSR map with improved estimation accuracy using the advanced case-based reasoning (A-CBR), finite element method (FEM), and kriging method. This study was conducted in four steps: (i) data collection; (ii) estimation of the MADSR data in the 54 unmeasured locations using the A-CBR model; (iii) estimation of the MADSR data in the 89 unmeasured locations using the FEM model; and (iv) development of the MADSR map using the kriging method. Compared to the previous MADSR map, the proposed MADSR map was determined to be improved in terms of its estimation accuracy and classification level.

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The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach

Cited by 66 publications

References 8 publications

A Project-Based Quantification of BIM Benefits

A Project-Based Quantification of BIM Benefits

Development of a Dynamic Incentive and Penalty Program for Improving the Energy Performance of Existing Buildings

Development of the Monthly Average Daily Solar Radiation Map Using a-Cbr, Fem, and Kriging Method

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