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Abdel Aziz, A M (2024) Statistical analysis and representation models of calendar-day liquidated damages. Journal of Construction Engineering and Management, 150(06).
- Type: Journal Article
- Keywords: delays; highways; liquidated damages; standard specifications; transportation
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14506
- Abstract:
When projects suffer noncompletion, state highway agencies (SHAs) may trigger liquidated damage (LD) provisions, and at times, contractors may challenge their enforceability. Normally, to be compensated for the costs expected during the delay, states design the LD schedules by associating LD rates to specific contract sizes. A review of the literature found that states varied significantly in the LD schedule designs. However, no studies have explored the relationship between the LD rates and contract sizes (LDR-CS) across states. Exploring this relationship could lead to identifying the underlying model of the relationship, explaining how states vary the LD rates against contract sizes, running comparative analyses of the states' LD schedules, and designing optimal LD schedules, among other potential benefits. To realize these benefits, the objectives of this work were to (1) statistically explore and characterize the LDR-CS relationship, and (2) develop a representative model of the relationship. To achieve these objectives, descriptive, box-whisker, and cluster analyses were performed to characterize the relationship, and regression analysis was utilized to search for the best-fit representation model. The relationship was found to be challenging; it had a unique L-shape, and was modeled successfully only using transformed nonlinear regression. The research results could facilitate performing LD comparative analysis among states, help SHAs assess and build confidence in their LD rates, and help update and optimize LD schedule designs. This work contributes to the body of knowledge with new statistical dimensions to comprehend the LDR-CS relationship, providing tables, charts, and transformed nonlinear models.
Cao, N and Cheung, S O (2024) Voluntary mediation as a tenable resolution mechanism for construction disputes. Journal of Construction Engineering and Management, 150(06).
Cui, L Z, Liu, J, Luo, H, Wang, J, Zhang, X, Lv, G and Xie, Q (2024) Deformation measurement of tunnel shotcrete liner using the multiepoch lidar point clouds. Journal of Construction Engineering and Management, 150(06).
Han, Y, Soomro, M A, Li, Y, Garvin, M J and Xue, R (2024) Exploring farmers' willingness to engage in participatory irrigation infrastructure programs: Evidence from a water-stressed region. Journal of Construction Engineering and Management, 150(06).
Houng, S C, Pal, A and Lin, J J (2024) 4D BIM and reality model-driven camera placement optimization for construction monitoring. Journal of Construction Engineering and Management, 150(06).
Jin, Z, Gambatese, J A and Nnaji, C (2024) Musculoskeletal disorder risk assessment in modern ready-made concrete formwork construction. Journal of Construction Engineering and Management, 150(06).
Kim, J, Chung, S and Chi, S (2024) Cross-lingual information retrieval from multilingual construction documents using pretrained language models. Journal of Construction Engineering and Management, 150(06).
Kim, S, Ghimire, P, Jeong, H D and Barutha, P (2024) Comparative analysis of project risks across construction sectors. Journal of Construction Engineering and Management, 150(06).
Liu, G, Ma, Z, Li, J, Li, S, Zhou, X and Song, Y (2024) Framework of digital lean construction and implementation of its management platform for the construction phase. Journal of Construction Engineering and Management, 150(06).
Liu, W, Zhang, J, Qu, C and Zhang, H (2024) Performance of priority rules for finance-based and resource-constrained project scheduling heuristics. Journal of Construction Engineering and Management, 150(06).
Masood, R, Roy, K, Gonzalez, V A and Lim, J B P (2024) Ameliorating supply chains of prefabricated housebuilding: An integrated performance framework. Journal of Construction Engineering and Management, 150(06).
Shen, J, Liu, S and Zhang, J (2024) Using text mining and Bayesian network to identify key risk factors for safety accidents in metro construction. Journal of Construction Engineering and Management, 150(06).
Shi, Q, Wang, Z and Zhu, J (2024) Developing collaborative driving mechanism of prefabricated buildings using multiagent stochastic evolutionary game. Journal of Construction Engineering and Management, 150(06).
Wang, W, Hao, S, Zhong, H and Sun, Z (2024) Toward sustainable construction: Optimizing carbon emission reduction in the building supply chain through game-theoretic strategies, government subsidies, and cost-sharing contract. Journal of Construction Engineering and Management, 150(06).
Wu, H, Zhang, P, Li, H, Zhong, B, Guo, S, Fung, I W H and Lee, Y Y (2024) Blockchain impact on construction quality management and its adoption analysis: A game theory-based method. Journal of Construction Engineering and Management, 150(06).
Yang, Z and Lu, W (2024) Lean modular integrated construction production phase planning under uncertainties: A big data-driven optimization approach. Journal of Construction Engineering and Management, 150(06).
Zeberga, M S, Haaskjold, H and Hussein, B (2024) Digital technologies for preventing, mitigating, and resolving contractual disagreements in the AEC industry: A systematic literature review. Journal of Construction Engineering and Management, 150(06).
Zhang, F, Liu, H, Chen, Z, Wang, L, Zhang, Q and Guo, L (2024) Collision risk warning model for construction vehicles based on YOLO and DeepSORT algorithms. Journal of Construction Engineering and Management, 150(06).