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Brosque, C, Skeie, G and Fischer, M (2021) Comparative Analysis of Manual and Robotic Concrete Drilling for Installation Hangers. Journal of Construction Engineering and Management, 147(03).

BuHamdan, S, Duncheva, T and Alwisy, A (2021) Developing a BIM and Simulation-Based Hazard Assessment and Visualization Framework for CLT Construction Design. Journal of Construction Engineering and Management, 147(03).

Cherkos, F D and Jha, K N (2021) Drivers of Road Sector Public-Private Partnership Adoption in New and Inexperienced Markets. Journal of Construction Engineering and Management, 147(03).

Dias Barkokebas, R and Li, X (2021) Use of Virtual Reality to Assess the Ergonomic Risk of Industrialized Construction Tasks. Journal of Construction Engineering and Management, 147(03).

El Sayed, A Y, Darwish, M and Nassar, K (2021) Design and Constructability of Novel Extendable Arched Steel Truss Falsework. Journal of Construction Engineering and Management, 147(03).

Hamledari, H, Sajedi, S, McCabe, B and Fischer, M (2021) Automation of Inspection Mission Planning Using 4D BIMs and in Support of Unmanned Aerial Vehicle–Based Data Collection. Journal of Construction Engineering and Management, 147(03).

Kar, S and Jha, K N (2021) Investigation into Lead Time of Construction Materials and Influencing Factors. Journal of Construction Engineering and Management, 147(03).

Katsuragawa, C M, Lucko, G, Isaac, S and Su, Y (2021) Fuzzy Linear and Repetitive Scheduling for Construction Projects. Journal of Construction Engineering and Management, 147(03).

Kim, K and Cho, Y K (2021) Automatic Recognition of Workers’ Motions in Highway Construction by Using Motion Sensors and Long Short-Term Memory Networks. Journal of Construction Engineering and Management, 147(03).

Liu, Y, Jarvamardi, A, Zhang, Y, Liu, M, Hsiang, S M, Yang, S, Yu, X and Jiang, Z (2021) Comparative Study on Perception of Causes for Construction Task Delay in China and the United States. Journal of Construction Engineering and Management, 147(03).

Ma, G, Jia, J, Ding, J, Wu, M and Wang, D (2021) Examining the Impact of Social Media Use on Project Management Performance: Evidence from Construction Projects in China. Journal of Construction Engineering and Management, 147(03).

Mahdavian, A, Shojaei, A, Salem, M, Yuan, J S and Oloufa, A A (2021) Data-Driven Predictive Modeling of Highway Construction Cost Items. Journal of Construction Engineering and Management, 147(03).

O’Connor, J T, Shrestha, B K, Winkler, M and Ouk Choi, J (2021) Relationship between Commissioning and Start-Up Success Factors Achievement and Performance in Capital Projects. Journal of Construction Engineering and Management, 147(03).

Raymond, A J, Kendall, A, DeJong, J T, Kavazanjian, E, Woolley, M A and Martin, K K (2021) Life Cycle Sustainability Assessment of Fugitive Dust Control Methods. Journal of Construction Engineering and Management, 147(03).

Shirowzhan, S, Sepasgozar, S M E and Trinder, J (2021) Developing Metrics for Quantifying Buildings’ 3D Compactness and Visualizing Point Cloud Data on a Web-Based App and Dashboard. Journal of Construction Engineering and Management, 147(03).

Yoon, S, Weidner, T and Hastak, M (2021) Total-Package-Prioritization Mitigation Strategy for Deferred Maintenance of a Campus-Sized Institution. Journal of Construction Engineering and Management, 147(03).

Zhang, S, Jiang, P, Zhang, Z and Wang, C (2021) WebGIS-Based Collaborative Construction Quality Control of RCC Gravity Dam Using Sensing Devices. Journal of Construction Engineering and Management, 147(03).

Zuniga-Garcia, N, Machemehl, R B, Khwaja, N A, Pruner, K D and Fu, M (2021) Estimation of Road User Costs for Work Zones in Data-Limited or Time-Constrained Environments. Journal of Construction Engineering and Management, 147(03).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001987
  • Abstract:
    This paper considers the problem of estimating road user costs (RUCs), such as travel time and delays, for roadway construction projects under time and data limitations. RUCs measure the mobility impacts of construction work zones on public roads. RUC metrics are typically used in construction phases to determine the project’s incentives and disincentives. However, determining RUC can be challenging due to scarce traffic data availability, incomplete construction plans, and limited time to conduct analysis. In this paper, we use traffic microsimulation to estimate the RUC for each hour of a typical 24-h day using 11 construction cases in Dallas, Texas. Our primary contribution includes developing relationships between peak-hour RUC measures with respect to the total daily values. Such relationships would allow an estimation of the full day RUC based only on the analysis of the peak hour. The main results suggest that the peak-hour travel time as a fraction of the daily value is, on average, 8.2%, comparable to typical percentages of the peak-hour traffic volumes. Furthermore, the models for predictive relationships using construction scenario demand and capacity show high correlation coefficients, presenting a potential for the development of such relationships for roadway construction projects.