Abstracts – Browse Results
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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).
- Type: Journal Article
- Keywords: Data-driven predictive modeling; Construction cost; Highway construction; Cost forecast; Regression analysis; Machine learning;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001991
- Abstract:
The highway network is an economically necessary form of transportation that has a significant impact on the quality of the life of the citizens who use it. Cost overruns in highway projects have been a universal occurrence that jeopardize the development, maintenance, and expansion of this vital infrastructure. Incorrect cost estimations can drive decision makers to pass ineffective policies that have played a large role in the cost overruns of transportation construction projects. The existing prediction models in the literature are limited in one or multiple areas of modeling approach, inputs, and model development robustness. In this research, a model was developed to accurately predict the total construction cost of highway projects by utilizing machine learning algorithms. This study developed a modeling pipeline to automate much of the cost forecasting process, reducing the amount of manual work and dependence on skilled data scientists. This study used the Florida Department of Transportation’s (FDOT’s) critical highway construction cost items between 2001 and 2017 to test the model. The highways of Florida were selected for testing due to the states’ population growth, high immigrant population, logistics, and hurricane frequency. This study used a pool of five categories of independent variables (69 variables total), including the construction market, energy market, socioeconomics, US economy, and temporal variables, which were compiled from relevant sources and existing literature. The results revealed that our linear model exhibits superiority in generalization and prediction of cost items over nonlinear models and is capable of accurately forecasting highway construction costs. Our suggested approach in this study also provides more accurate forecasts for the detailed cost estimation by considering the monthly historical information for the average 92.6% of the six highway construction types mentioned with a 92.51% prediction accuracy. By employing our developed model, local governments, network operators, contractors, and logistics sectors would be capable of a more exact prediction of highway construction costs.
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).