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Ali, G M, Bouferguene, A and Al-Hussein, M (2023) Crane mat layout optimization based on agent-based greedy and reinforcement-learning approach. Journal of Construction Engineering and Management, 149(08).

Darko, A, Glushakova, I, Boateng, E B and Chan, A P C (2023) Using machine learning to improve cost and duration prediction accuracy in green building projects. Journal of Construction Engineering and Management, 149(08).

  • Type: Journal Article
  • Keywords: accurate cost and duration prediction; artificial intelligence; green building projects; machine learning; project management; web application
  • ISBN/ISSN: 0733-9364
  • URL: http://doi.org/10.1061/JCEMD4.COENG-13101
  • Abstract:
    A major source of risk in green building projects (GBPs) is inaccurate human prediction of the final project cost and duration, which in turn results in cost and schedule overruns (i.e., poor project performance). This paper presents promising new models to mitigate such risk based upon machine learning (ML). Historical data from 198 GBPs in Hong Kong were used to develop and train two fully connected deep neural networks (DNN) models to learn and predict cost and duration, respectively, based on green building rating (GBR) and other project parameters. The models can predict cost and duration with mean absolute percentage error (MAPE) values of 0.07 and 0.09, respectively. They were then integrated with support vector regression (SVR), and results indicated that the integrated DNN-SVR models improve prediction accuracy, decreasing the MAPE from 0.07 to 0.06 (cost) and 0.09 to 0.07 (duration), respectively. The validated models were for the first time deployed as a ML-based web application for automated, fast, and accurate GBP cost and duration prediction. The feature importance analysis results revealed that the most influential parameters on the GBP cost and duration are project area and weather, respectively, not the GBR. Theoretically, the outcomes of this study provide new insights into the impact of GBR on project cost and duration, which are useful for the promotion of GBPs to improve sustainability. Practically, the study provides policymakers and practitioners with novel ML-based models and a web application to improve GBP delivery performance.

Do, Q, Moriyani, M A, Le, C and Le, T (2023) Cost-weighted tf-idf: A novel approach for measuring highway project similarity based on pay items' cost composition and term frequency. Journal of Construction Engineering and Management, 149(08).

Huang, C, Wang, Z K, Li, B, Wang, C, Xu, L S, Jiang, K, Liu, M, Guo, C X, Zhao, X F and Yang, H (2023) Discretized cell modeling for optimal layout of multiple tower cranes. Journal of Construction Engineering and Management, 149(08).

Kar, S and Jha, K N (2023) Examining the effect of material management practices on material availability and waste reduction in construction projects. Journal of Construction Engineering and Management, 149(08).

Leung, M Y, Wei, X and Wang, C (2023) Demystifying critical success factors for applying value management in construction projects along the belt and road regions: Focus group study. Journal of Construction Engineering and Management, 149(08).

Li, Q, Jiang, M, Tao, S, Hao, J and Chong, H Y (2023) The integrated problem of construction project scheduling and multiskilled staff assignment with learning effect. Journal of Construction Engineering and Management, 149(08).

Li, Y, He, N, Zhang, Y, Li, H and Zhang, C (2023) Optimization of capital structure for urban water PPP projects using mezzanine financing: Sustainable perspective. Journal of Construction Engineering and Management, 149(08).

Li, Y, Zhu, L, Xue, R and Han, Y (2023) How policy diffusion influences regional BIM innovation: An empirical study in China. Journal of Construction Engineering and Management, 149(08).

Pooladvand, S and Hasanzadeh, S (2023) Impacts of stress on workers' risk-taking behaviors: Cognitive tunneling and impaired selective attention. Journal of Construction Engineering and Management, 149(08).

Shang, M, Zhang, Y, He, Z, Qiao, H, Liu, X, Feng, Q, Xue, C, Zhang, Y, Su, F, Wang, J, Han, Y and Meng, X (2023) Workability properties of specified density concrete with municipal solid waste incinerator tailings added as a lightweight aggregate. Journal of Construction Engineering and Management, 149(08).

Shrestha, K (2023) Cost comparison of highway rest area operations: In-house workforce versus outsourcing methods. Journal of Construction Engineering and Management, 149(08).

Tan, L, Zhang, Y, Chen, Y and Zhu, T (2023) A multiple-objective decision-support model for lighting maintenance routing considering carbon dioxide emissions and balanced workload. Journal of Construction Engineering and Management, 149(08).