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Ahn, S, Crouch, L, Kim, T W and Rameezdeen, R (2020) Comparison of Worker Safety Risks between Onsite and Offsite Construction Methods: A Site Management Perspective. Journal of Construction Engineering and Management, 146(09).

Al-Bayati, A J and Panzer, L (2020) Reducing Damages to Underground Utilities: Importance of Stakeholders’ Behaviors. Journal of Construction Engineering and Management, 146(09).

Ariyachandra, M R M F and Brilakis, I (2020) Detection of Railway Masts in Airborne LiDAR Data. Journal of Construction Engineering and Management, 146(09).

Ballesteros-Pérez, P, Sanz-Ablanedo, E, Cerezo-Narváez, A, Lucko, G, Pastor-Fernández, A, Otero-Mateo, M and Contreras-Samper, J P (2020) Forecasting Accuracy of In-Progress Activity Duration and Cost Estimates. Journal of Construction Engineering and Management, 146(09).

Chen, T, Hu, H and Zhu, F (2020) Developing a Hierarchical Road Layout Method for Large-Scale Construction Site. Journal of Construction Engineering and Management, 146(09).

Dou, Y, Xue, X, Wu, C, Luo, X and Wang, Y (2020) Interorganizational Diffusion of Prefabricated Construction Technology: Two-Stage Evolution Framework. Journal of Construction Engineering and Management, 146(09).

Fan, C (2020) Defect Risk Assessment Using a Hybrid Machine Learning Method. Journal of Construction Engineering and Management, 146(09).

Franz, B, Molenaar, K R and Roberts, B A M (2020) Revisiting Project Delivery System Performance from 1998 to 2018. Journal of Construction Engineering and Management, 146(09).

Gurmu, A T and Ongkowijoyo, C S (2020) Stochastic-Based Model for Setting Formwork-Productivity Baseline. Journal of Construction Engineering and Management, 146(09).

Jazayeri, E and Dadi, G B (2020) Hazard Recognition and Risk Perception Skills among Union Electricians. Journal of Construction Engineering and Management, 146(09).

Kar, S and Jha, K N (2020) Examining the Effect of Material Management Issues on the Schedule and Cost Performance of Construction Projects Based on a Structural Equation Model: Survey of Indian Experiences. Journal of Construction Engineering and Management, 146(09).

Kim, T, Lee, D, Cha, M, Lim, H, Lee, M, Cho, H and Kang, K (2020) Simulation-Based Lift Planning Model for the Lift Transfer Operation System. Journal of Construction Engineering and Management, 146(09).

Love, P E D, Matthews, J and Fang, W (2020) Rework in Construction: A Focus on Error and Violation. Journal of Construction Engineering and Management, 146(09).

Ma, H, Zhang, H and Chang, P (2020) 4D-Based Workspace Conflict Detection in Prefabricated Building Constructions. Journal of Construction Engineering and Management, 146(09).

Moon, H, Kim, K, Lee, H, Park, M, Williams, T P, Son, B and Chun, J (2020) Cost Performance Comparison of Design-Build and Design-Bid-Build for Building and Civil Projects Using Mediation Analysis. Journal of Construction Engineering and Management, 146(09).

Neve, H H, Wandahl, S, Lindhard, S, Teizer, J and Lerche, J (2020) Determining the Relationship between Direct Work and Construction Labor Productivity in North America: Four Decades of Insights. Journal of Construction Engineering and Management, 146(09).

Ogunrinde, O, Amirkhanian, A, Corley, M and Nnaji, C (2020) Effect of Nighttime Construction on Quality of Asphalt Paving. Journal of Construction Engineering and Management, 146(09).

  • Type: Journal Article
  • Keywords: Quality; Award type; Asphalt paving; Percent within limit (PWL); Pay factor; Highway construction;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001905
  • Abstract:
    The need to meet increasing economic vitality has caused continued deterioration of road surfaces owing to the constant use fueled by high traffic volume. Nighttime paving operations are often seen as a viable solution to reduce traffic disruptions due to maintenance and construction activities. However, state highway agencies (SHAs) are uncertain as to whether the quality of nighttime paving is at the same level of daytime paving. Although percent within limits (PWL) has shown great promise as a quality-based pay factor tool, limited empirical research exists that focuses on using this process as a postconstruction pay tool. The goal of this study is to assess the impact of nighttime and daytime paving on pavement quality using PWL. To achieve the goal of this study, data extracted from a review of existing literature and archival studies were analyzed using multiple statistical tools. This study examines rideability quality for 86 different projects from both nighttime and daytime asphalt paving projects over a 2-year period in South Carolina. It was found that nighttime projects were awarded more rideability bonus payouts while daytime projects were awarded more 100% rideability payouts. This study fills a gap in knowledge and practices by providing relevant information required to use PWL as a tool for measuring, enhancing, and optimizing quality or asphalt pavement. SHAs should consider including PWL in highway contracts as a tool for assessing the quality of projects.

Simmons, D R, McCall, C and Clegorne, N A (2020) Leadership Competencies for Construction Professionals as Identified by Construction Industry Executives. Journal of Construction Engineering and Management, 146(09).

Townsend, R and Gershon, M (2020) Attaining Successful Construction Project Execution Through Personnel and Communication. Journal of Construction Engineering and Management, 146(09).

Xue, J, Shen, G Q, Yang, R J, Zafar, I and Ekanayake, E M A C (2020) Dynamic Network Analysis of Stakeholder Conflicts in Megaprojects: Sixteen-Year Case of Hong Kong-Zhuhai-Macao Bridge. Journal of Construction Engineering and Management, 146(09).

Yap, J B H, Rou Chong, J, Skitmore, M and Lee, W P (2020) Rework Causation that Undermines Safety Performance during Production in Construction. Journal of Construction Engineering and Management, 146(09).

Zhang, Y, Lei, Z, Han, S, Bouferguene, A and Al-Hussein, M (2020) Process-Oriented Framework to Improve Modular and Offsite Construction Manufacturing Performance. Journal of Construction Engineering and Management, 146(09).