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Al-Ghzawi, M and El-Rayes, K (2023) Optimizing the planning of airport airside expansion projects to minimize air traffic disruptions and construction cost. Journal of Construction Engineering and Management, 149(04).
Barros, B A F S and Sotelino, E D (2023) Constructability and sustainability studies in conceptual projects: A BIM-based approach. Journal of Construction Engineering and Management, 149(04).
- Type: Journal Article
- Keywords: building information modeling; constructability; plugin; process map; sustainability
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-12767
- Abstract:
Less polluting and more efficient projects can be developed when considering sustainability and constructability in the initial phases of building design. The building information modeling (BIM) methodology uses 3D graphical modeling and parametrized objects and, thus, provides an environment that can seamlessly assess these factors. An in-depth systematic literature review revealed that when these issues are addressed using BIM, they are not considered within the same framework. To address this gap in knowledge, the present work proposes a BIM-based workflow that involves the different agents in a construction, in order to promote a greater participation of builders and environmental specialists at the initial stages of the design. In addition, a plugin is developed in the Autodesk Revit software, named ECOS, that quantifies the constructability and sustainability of a project and identifies which aspects of the project are deficient within this context. ECOS also provides a cost criterion, as this is also an important aspect when evaluating a project. The proposed workflow and the plugin are tested and validated through a survey in conjunction with interviews of sixteen architectural and engineering professionals. The results show that the proposed process map associated with ECOS form a useful framework to promote greater participation of builders and environmental engineers in the initial stages, and, thus, can promote more sustainable designs with better constructability.
Guo, H, Zhang, Z, Yu, R, Sun, Y and Li, H (2023) Action recognition based on 3D skeleton and LSTM for the monitoring of construction workers' safety harness usage. Journal of Construction Engineering and Management, 149(04).
Hassan, F U, Le, T and Le, C (2023) Automated approach for digitalizing scope of work requirements to support contract management. Journal of Construction Engineering and Management, 149(04).
Jeon, J, Zhang, Y, Yang, L, Xu, X, Cai, H and Tran, D (2023) Risk breakdown matrix for risk-based inspection of transportation infrastructure projects. Journal of Construction Engineering and Management, 149(04).
Koc, K, Ekmekcioǧlu, Ö and Gurgun, A P (2023) Developing a national data-driven construction safety management framework with interpretable fatal accident prediction. Journal of Construction Engineering and Management, 149(04).
Li, Y, Ning, Y and Rowlinson, S (2023) Social control in outsourced architectural and engineering design consulting projects: Behavioral consequences and motivational mechanism. Journal of Construction Engineering and Management, 149(04).
Nigra, M and Bossink, B (2023) Cooperative learning in green building demonstration projects: Insights from 30 innovative and environmentally sustainable demonstrations around the world. Journal of Construction Engineering and Management, 149(04).
Pushpakumara, B H J, Gunasekara, M T and Gannile, Y M T D (2023) Variation of mechanical and chemical properties of old and new clay bricks. Journal of Construction Engineering and Management, 149(04).
Shiha, A and Dorra, E M (2023) Resilience index framework for the construction industry in developing countries. Journal of Construction Engineering and Management, 149(04).
Shirazi, D H and Toosi, H (2023) Deep multilayer perceptron neural network for the prediction of Iranian dam project delay risks. Journal of Construction Engineering and Management, 149(04).
Xia, N, Griffin, M A, Xie, Q and Hu, X (2023) Antecedents of workplace safety behavior: Meta-analysis in the construction industry. Journal of Construction Engineering and Management, 149(04).
Xu, W and Wang, T K (2023) Construction worker safety prediction and active warning based on computer vision and the gray absolute decision analysis method. Journal of Construction Engineering and Management, 149(04).