Cost Performance Comparison of Design-Build and Design-Bid-Build for Building and Civil Projects Using Mediation Analysis

Moon, Hyosoo; Kim, Kwonhyun; Lee, Hyunsoo; Park, Moonseo; Williams, T. R.; Son, Bo-Sik; Jin, Chun

doi:10.1061/(asce)co.1943-7862.0001873

Cited by 15 publications

(7 citation statements)

References 37 publications

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“…Certain features of this study are based on the first author's Ph.D. dissertation (Moon 2020). The authors are grateful to Seoul Special City for sharing the data for the study.…”

Section: Acknowledgmentsmentioning

confidence: 97%

“…Projects that exhibited significant differences between the awarded bid price and the owner's pre-bid estimate tended to demonstrate higher cost overruns. Furthermore, Moon et al (2020) which is a subsequent study of Moon (2015) examined that differences in cost performance occurred between different project types (e.g., civil and building construction). Rosmond (1984) found that increases in the level of competition lead to excessive cost overrun.…”

Section: Source Of Cost Overrun In the Bidding Stagementioning

confidence: 99%

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Predicting project cost overrun levels in bidding stage using ensemble learning

Moon

Williams

Lee

et al. 2020

Journal of Asian Architecture and Building Engineering

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Predicting project cost overruns in the bidding stage has undergone significant changes with the application of state-of-the-art techniques. Both modeling techniques and domain knowledge should be integrated to enhance predictions of cost performance. This study developed an ensemble-learning classification model to predict the expected cost-overrun levels of public projects and derive explanatory factors and key predictors. A database of 234 public-sector projects in South Korea was used, including project characteristics (i.e., project delivery method, project types, cost, and schedule) in combination with bidding characteristics (i.e., award method, number of bidders, bid to estimate ratio, number of joint ventures). The results yielded an average accuracy of 61.41% for five model runs. Furthermore, information on the project type being constructed is an important contributor to prediction accuracy. Results of the model enable project owners and managers to screen projects that are expected to incur excessive cost overruns and to anticipate budget loss during the bidding stage and before contracts are finalized.

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“…Certain features of this study are based on the first author's Ph.D. dissertation (Moon 2020). The authors are grateful to Seoul Special City for sharing the data for the study.…”

Section: Acknowledgmentsmentioning

confidence: 97%

Section: Source Of Cost Overrun In the Bidding Stagementioning

confidence: 99%

Predicting project cost overrun levels in bidding stage using ensemble learning

Moon

Williams

Lee

et al. 2020

Journal of Asian Architecture and Building Engineering

Self Cite

View full text Add to dashboard Cite

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“…Research by Chen et al (2016) showed that using the DB approach can result in good time performance, as more than 75% of DB projects are finished on time or earlier than expected. However, over 50% of DB projects go over budget, which raises doubts about whether the cost-saving benefits of DB are reliable (Chen et al, 2016, p. 1;Moon et al, 2020). Moon and colleagues (2020).pointed out that there are situations where DB may not be better than DBB, despite the lower cost growth.…”

Section: A Coordination Challenges In Design and Build (Db) Projectsmentioning

confidence: 99%

Critical Coordination Factors Affecting Design and Build Projects

Ohag

Nawawi²,

Muhammad³

et al. 2023

IJEAS

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The design and build projects (DB) have increased in numbers in the last few decades. DB method is becoming more popular than the traditional method in Malaysia, especially in national projects.However, design-build projects may suffer from a significant number of problems, such as conflicts between the project parties (designers, contractors, and owners), resulting in poor performance and poor quality. One common cause of project failure of conventional projects is poor coordination and communication process. It has been found that no such study has been found to identify the coordination factors that might affect the project’s success. To fill this gap, this research aims to establish a framework of coordination factors affecting DB projects’ performance in Malaysia. This study uses a mixed methodology approach to identify critical coordination factors by a comprehensive review of the literature. The identified factors were categorized, ranked, and prioritized according to their influence on project performance using a quantitative approach. It is found that scheduling and planning, human resource coordination, documentation & records coordination, contract implementation coordination, value engineering and quality assurance, technical coordination, design coordination, management coordination, and external coordination are the significant factors of coordination that may affect the performance of construction projects. This study provides empirical evidence by correlating the identified coordination factors with DB project performance. Identification of coordination factors will help in enhancing and improving the performance of design and build projects.

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“…The quantitative performance analyses of road construction projects have been rarely conducted thus far, owing to difficulties in collecting large sample data on a specific facility. As stated by Sullivan et al [24] and Moon et al [25], most of the previous studies were focused on small sample projects, making it difficult to derive consistent results in terms of the cost and schedule performance. Therefore, many studies have used mixed building and civil projects covering diverse facilities as the analysis targets [25][26][27][28][29][30].…”

Section: Approaches To Performance Analysis Of Road Construction Proj...mentioning

confidence: 99%

“…As stated by Sullivan et al [24] and Moon et al [25], most of the previous studies were focused on small sample projects, making it difficult to derive consistent results in terms of the cost and schedule performance. Therefore, many studies have used mixed building and civil projects covering diverse facilities as the analysis targets [25][26][27][28][29][30]. Although this approach is useful in comparing the performance between different facilities or project delivery systems (e.g., design-build (DB) and design-bid-build (DBB)), it remains limited in explaining the performance of a single facility.…”

Section: Approaches To Performance Analysis Of Road Construction Proj...mentioning

confidence: 99%

Analyzing Cost and Schedule Growths of Road Construction Projects, Considering Project Characteristics

Lee

Kim

2021

Sustainability

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The development of road infrastructure is closely related to national competitiveness and presents significant socioeconomic impacts. However, road construction involves a large budget and is vulnerable to political, economic, social, and project-specific risks, which often result in cost overruns and schedule delays. Assessing the gap between the final performance and the planned performance, and providing feedback to similar projects in the future is essential for successful project planning and management. The aim of this study is to empirically analyze the cost and schedule growth of road construction projects, considering project characteristics. Using the national-level project performance data, the primary goal is to answer, “Do project characteristics influence the road project performance? If so, how different is the performance because of the project characteristics?” To this end, this study analyzes the cost and schedule growth of 423 road construction projects, considering five project characteristics: facility type, construction type, bid type, contract type, and project size. Non-parametric tests (the Mann–Whitney U test and the Kruskal–Wallis test) are used to analyze the differences between sample groups. The results demonstrate (1) better management of the performance of the highway when compared to the national and provincial roads; (2) higher schedule growth of the expansion and renovation than that of the new construction; (3) lower cost growth of the design-build method (turnkey and alternative) than the design-bid-build methods (qualification examination and lowest price); and (4) relatively larger cost and schedule growth for projects over $50 million than those of smaller projects. These results present empirical references from the Korean construction industry that can help construction-related entities (clients, design consultants, and contractors) to estimate and manage the cost and schedule buffers of future projects by considering different project characteristics. Discussions and suggestions connected with the findings are also provided. Future research will continue to shed light on the critical factors affecting the cost and schedule growth.

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Cost Performance Comparison of Design-Build and Design-Bid-Build for Building and Civil Projects Using Mediation Analysis

Cited by 15 publications

References 37 publications

Predicting project cost overrun levels in bidding stage using ensemble learning

Predicting project cost overrun levels in bidding stage using ensemble learning

Critical Coordination Factors Affecting Design and Build Projects

Analyzing Cost and Schedule Growths of Road Construction Projects, Considering Project Characteristics

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