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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).

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).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001495
  • Abstract:
    The improvement of construction productivity has always been a key concern for both researchers and project managers. Several studies have analyzed construction productivity from different perspectives; however, little research has been conducted to evaluate the impact of outdoor ambient environmental factors on construction productivity, especially at the project level. Therefore, to assess such impacts, a nonparametric regression model—the generalized additive model (GAM)—and a nonlinear machine learning model—random forest (RF)—are comparatively used to assess these contributors on the scaffolding construction performance factor (PF). The meteorological variables used in this study include temperature, humidity, ambient pressure, wind speed and wind direction, specific weather event (clear day, fog, rain, or thunderstorm), and the ultraviolet (UV) index. Results demonstrate that the joint meteorological factors play a key role in construction PF variation, with contribution ranging from 32.50% (GAM) to 59.41% (RF). The better performance of RF and GAM shows that the relationship between outdoor ambient environment and construction productivity is nonlinear and should be built by nonlinear models.

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).