Abstracts – Browse Results
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Assaad, R, El-Adaway, I H and Abotaleb, I S (2020) Predicting Project Performance in the Construction Industry. Journal of Construction Engineering and Management, 146(05).
Chan, A P C, Chiang, Y, Wong, F K, Liang, S and Abidoye, F A (2020) Work–Life Balance for Construction Manual Workers. Journal of Construction Engineering and Management, 146(05).
Firouzi, A and Khayyati, M (2020) Bayesian Updating of Copula-Based Probabilistic Project-Duration Model. Journal of Construction Engineering and Management, 146(05).
Gao, N and Touran, A (2020) Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects. Journal of Construction Engineering and Management, 146(05).
Hacker, M E, Kaminsky, J, Faust, K M and Rauch, S (2020) Regulatory Enforcement Approaches for Mass Population Displacement. Journal of Construction Engineering and Management, 146(05).
Hasanzadeh, S, de la Garza, J M and Geller, E S (2020) Latent Effect of Safety Interventions. Journal of Construction Engineering and Management, 146(05).
Hu, Q, Bai, Y, He, L, Cai, Q, Tang, S, Ma, G, Tan, J and Liang, B (2020) Intelligent Framework for Worker-Machine Safety Assessment. Journal of Construction Engineering and Management, 146(05).
Hua, Y, He, J, Gong, J and Zhao, J (2020) Hazardous Area Risk-Based Evacuation Simulation and Analysis of Building Construction Sites. Journal of Construction Engineering and Management, 146(05).
Krechowicz, M (2020) Comprehensive Risk Management in Horizontal Directional Drilling Projects. Journal of Construction Engineering and Management, 146(05).
Liu, C, AbouRizk, S, Morley, D and Lei, Z (2020) Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost. Journal of Construction Engineering and Management, 146(05).
Liu, J and Lu, M (2020) Synchronized Optimization of Various Management-Function Schedules in a Multiproject Environment: Case Study of Planning Steel Girder Fabrication Projects in Bridge Construction. Journal of Construction Engineering and Management, 146(05).
Lu, W, Xu, J and Söderlund, J (2020) Exploring the Effects of Building Information Modeling on Projects: Longitudinal Social Network Analysis. Journal of Construction Engineering and Management, 146(05).
Martínez-Rocamora, A, García-Alvarado, R, Casanova-Medina, E, González-Böhme, L F and Auat-Cheein, F (2020) Parametric Programming of 3D Printed Curved Walls for Cost-Efficient Building Design. Journal of Construction Engineering and Management, 146(05).
Navon, R (2020) The Last Lecture: The Need for Civil Engineering Education to Stimulate Thinking Instead of Only Teaching. Journal of Construction Engineering and Management, 146(05).
Nguyen, P H D, Tran, D and Lines, B C (2020) Fuzzy Set Theory Approach to Classify Highway Project Characteristics for Delivery Selection. Journal of Construction Engineering and Management, 146(05).
- Type: Journal Article
- Keywords: Fuzzy set theory; Cluster analysis; Project delivery methods; Cost performance; Complexity; Risks;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001829
- Abstract:
Selecting an appropriate delivery method for highway projects is a complex decision process. Delivery decisions typically involve evaluating both quantitative (e.g., cost, schedule) and qualitative (e.g., project complexity, delivery risk) criteria. Although many studies have proposed processes and guidance to select the most suitable delivery method, there is a lack of understanding on how to rigorously address qualitative criteria. This study aimed at applying fuzzy cluster analysis to investigate cost performance associated with qualitative criteria, including project complexity and delivery risk. The proposed approach includes three main steps: (1) assess data clustering tendency; (2) determine number of clusters; and (3) validate clustering result. An empirical data set of 254 completed highway projects was used to develop and illustrate the proposed approach. The result shows seven clusters for comparing cost performance between design-bid-build (D-B-B) and design-build (D-B) projects. D-B-B produces low-cost growth for Project Cluster 1, but medium- to high-cost growth for Project Cluster 3. D-B produces low-cost growth for Project Clusters 2, 4, 5, and 7. For Cluster 6, there is no difference in cost growth between D-B-B and D-B. The findings also indicate that D-B outperformed D-B-B in new, complex, and highly risky projects, whereas D-B-B was a better choice in certain reconstruction projects. This study contributes to the body of knowledge by identifying seven groups of highway projects that have many commonalities with respect to project attributes and cost performance associated with the use of D-B-B and D-B. The identified groups may help highway agencies better understand and select the most suitable delivery method for their projects.
Okonkwo, P N and Wium, J (2020) Health and Safety Management Systems within Construction Contractor Organizations: Case Study of South Africa. Journal of Construction Engineering and Management, 146(05).
Pan, M and Pan, W (2020) Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors. Journal of Construction Engineering and Management, 146(05).
Raoufi, M and Fayek, A R (2020) Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, 146(05).
Song, M H and Fischer, M (2020) Generating a Daily Bill of Materials at Level of Development 400 Using the Smallest Workface Boundary. Journal of Construction Engineering and Management, 146(05).
Tomczak, M and JaÅ›kowski, P (2020) New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, 146(05).
Wondimu, P A, Klakegg, O J, Lohne, J and Lædre, O (2020) Experiences with Best-Value Procurement in Norway and the Netherlands. Journal of Construction Engineering and Management, 146(05).
Yu, T, Liang, X and Wang, Y (2020) Factors Affecting the Utilization of Big Data in Construction Projects. Journal of Construction Engineering and Management, 146(05).
Zhang, X, Li, Y and Wu, D (2020) Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning. Journal of Construction Engineering and Management, 146(05).