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Bingham, E, Gibson, G E and Asmar, M E (2018) Measuring User Perceptions of Popular Transportation Project Delivery Methods Using Least Significant Difference Intervals and Multiple Range Tests. Journal of Construction Engineering and Management, 144(06).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001469
  • Abstract:
    One of the most critical decisions made by transportation project stakeholders is the choice of a project delivery method for their project. Delivery methods have been shown to significantly impact project cost and schedule. As the use of alternative project delivery methods increases, the perceptions of the advantages and disadvantages to using a particular method have matured. This paper reports on a national study of over 80 transportation owners and designers to measure their perceptions of the three most widely used delivery methods: design bid build (DBB), construction manager at risk (CMAR), and design build (DB). The study develops a list of factors that influence the selection of a delivery method, and then tests the most significant factors that lead to the selection of each individual method. Analyses using Fisher’s least significant difference intervals and multiple range tests allow for the identification of specific correlations between the delivery method and motivating factors or project goals. The analyses show that delivery method selection is motivated primarily by project urgency, cost, and risk allocation. For the three main delivery methods of DBB, CMAR, and DB, motivation for their selection is primarily based on cost, risk allocation, and project urgency, respectively. User perceptions align with findings from literature in terms of schedule performance, but do not align in terms of cost performance. This research contributes to the body of knowledge by reporting on the most current motivating factors for the selection and use of the most popular delivery methods.

Chang, C and Yu, S (2018) Three-Variance Approach for Updating Earned Value Management. Journal of Construction Engineering and Management, 144(06).

de la Garza, J M and Pishdad-Bozorgi, P (2018) Workflow Process Model for Flash Track Projects. Journal of Construction Engineering and Management, 144(06).

El-adaway, I H, Abotaleb, I S, Eid, M S, May, S, Netherton, L and Vest, J (2018) Contract administration guidelines for public infrastructure projects in the United States and Saudi Arabia: comparative analysis approach. Journal of Construction Engineering and Management, 144(06), 04018031.

Guo, H, Yu, Y, Ding, Q and Skitmore, M (2018) Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 144(06).

Ham, N, Moon, S, Kim, J and Kim, J (2018) Economic Analysis of Design Errors in BIM-Based High-Rise Construction Projects: Case Study of Haeundae L Project. Journal of Construction Engineering and Management, 144(06).

Han, Y, Li, Y, Taylor, J E and Zhong, J (2018) Characteristics and Evolution of Innovative Collaboration Networks in Architecture, Engineering, and Construction: Study of National Prize-Winning Projects in China. Journal of Construction Engineering and Management, 144(06).

Kosonen, H K and Kim, A A (2018) Mental Model Approach to Wastewater Treatment Plant Project Delivery during Emergency Response. Journal of Construction Engineering and Management, 144(06).

Kwon, N, Song, K, Lee, H, Kim, J and Park, M (2018) Construction Noise Risk Assessment Model Focusing on Construction Equipment. Journal of Construction Engineering and Management, 144(06).

Liu, D, Lu, W and Niu, Y (2018) Extended Technology-Acceptance Model to Make Smart Construction Systems Successful. Journal of Construction Engineering and Management, 144(06).

Liu, X, Song, Y, Yi, W, Wang, X and Zhu, J (2018) Comparing the Random Forest with the Generalized Additive Model to Evaluate the Impacts of Outdoor Ambient Environmental Factors on Scaffolding Construction Productivity. Journal of Construction Engineering and Management, 144(06).

Liu, Z, Wang, H and Li, H (2018) Model of Equipment Sharing between Contractors on Construction Projects. Journal of Construction Engineering and Management, 144(06).

Nzabonimpa, J D and Hong, W (2018) Novel Precast Erection Method of Interlocking Mechanical Joints Using Couplers. Journal of Construction Engineering and Management, 144(06).

Rahimi, Y, Tavakkoli-Moghaddam, R, Iranmanesh, S H and Vaez-Alaei, M (2018) Hybrid Approach to Construction Project Risk Management with Simultaneous FMEA/ISO 31000/Evolutionary Algorithms: Empirical Optimization Study. Journal of Construction Engineering and Management, 144(06).

Raoufi, M and Fayek, A R (2018) Key Moderators of the Relationship between Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(06).

Shaofeng, L, Jincai, F, Pinghua, Z and Xiang, L (2018) Stability Analysis of Two Parallel Closely Spaced Tunnels Based on Convergence–Confinement Principle. Journal of Construction Engineering and Management, 144(06).

Sherratt, F, Welfare, K, Hallowell, M and Hoque Tania, M (2018) Legalized Recreational Marijuana: Safety, Ethical, and Legal Perceptions of the Workforce. Journal of Construction Engineering and Management, 144(06).

Vaux, J S and Kirk, W M (2018) Relationship Conflict in Construction Management: Performance and Productivity Problem. Journal of Construction Engineering and Management, 144(06).

Walters, J P, Kaminsky, J and Huepe, C (2018) Factors Influencing Household Solar Adoption in Santiago, Chile. Journal of Construction Engineering and Management, 144(06).

Yoon, S, Kang, K, Yoon, Y, Hastak, M and Ji, R (2018) Systematic Decision-Making Process for Composite Pavement Maintenance. Journal of Construction Engineering and Management, 144(06).

Yu, J and Leung, M (2018) Structural Stakeholder Model in Public Engagement for Construction Development Projects. Journal of Construction Engineering and Management, 144(06).

Zhao, T, Liu, W, Zhang, L and Zhou, W (2018) Retracted: Cluster Analysis of Risk Factors from Near-Miss and Accident Reports in Tunneling Excavation. Journal of Construction Engineering and Management, 144(06).