Recent Advances in Building Information Modeling for Sustainable Construction: A Systematic Literature Review
DOI:
https://doi.org/10.54518/jaei.2.1.2024.1268Keywords:
Artificial Intelligence, Building Information Modeling (BIM), Digital Twin, Internet of ThingsAbstract
Building Information Modeling (BIM) has become a fundamental technology for promoting sustainable construction by improving collaboration, resource efficiency, and lifecycle management throughout construction projects. This systematic literature review examines recent research published between published over the last five years to identify technological developments, research trends, practical applications, challenges, and future opportunities of BIM in sustainable construction. The reviewed studies indicate that BIM has been increasingly integrated with digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), digital twins, cloud computing, and Geographic Information Systems (GIS) to support energy-efficient building design, construction planning, facility management, and environmental performance assessment. Furthermore, BIM enhances project visualization, reduces material waste, improves cost estimation, and facilitates informed decision-making throughout the building lifecycle. Despite these advancements, challenges remain regarding interoperability, data standardization, implementation costs, and the shortage of skilled professionals. Future research should emphasize intelligent BIM integration, standardized data exchange, and sustainable digital construction to accelerate the transformation toward resilient and environmentally responsible built environments.
References
Adams, C. A., & Abhayawansa, S. (2022). Connecting the COVID-19 pandemic, environmental, social and governance (ESG) investing and calls for ‘harmonisation’of sustainability reporting. Critical perspectives on accounting, 82, 102309.
Ali, K. N., Alhajlah, H. H., & Kassem, M. A. (2022). Collaboration and risk in building information modelling (BIM): a systematic literature review. Buildings, 12(5), 571.
Bruno, N., & Roncella, R. (2019). HBIM for conservation: A new proposal for information modeling. Remote Sensing, 11(15), 1751.
Chen, X., Chang-Richards, A. Y., Pelosi, A., Jia, Y., Shen, X., Siddiqui, M. K., & Yang, N. (2022). Implementation of technologies in the construction industry: a systematic review. Engineering, Construction and Architectural Management, 29(8), 3181-3209.
Deng, M., Menassa, C. C., & Kamat, V. R. (2021). From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry. Journal of information technology in construction, 26.
Dixit, M. K., Venkatraj, V., Ostadalimakhmalbaf, M., Pariafsai, F., & Lavy, S. (2019). Integration of facility management and building information modeling (BIM) A review of key issues and challenges. Facilities, 37(7-8), 455-483.
Durdyev, S., Dehdasht, G., Mohandes, S. R., & Edwards, D. J. (2021). Review of the building information modelling (BIM) implementation in the context of building energy assessment. Energies, 14(24), 8487.
Jiang, S., Jiang, L., Han, Y., Wu, Z., & Wang, N. (2019). OpenBIM: An enabling solution for information interoperability. Applied Sciences, 9(24), 5358.
Junussova, T., Nadeem, A., Kim, J. R., Azhar, S., Khalfan, M., & Kashyap, M. (2022). Sustainable construction through resource planning systems incorporation into building information modelling. Buildings, 12(10), 1761.
Kaewunruen, S., Sresakoolchai, J., & Zhou, Z. (2020). Sustainability-based lifecycle management for bridge infrastructure using 6D BIM. Sustainability, 12(6), 2436.
Kilbourne, A. M., Braganza, M. Z., Bowersox, N. W., Goodrich, D. E., Miake-Lye, I., Floyd, N., ... & Ramoni, R. (2019). Research lifecycle to increase the substantial real-world impact of research: accelerating innovations to application. Medical care, 57, S206-S212.
Krausková, V., & Pifko, H. (2021). Use of artificial intelligence in the field of sustainable architecture: current knowledge. Architecture Papers of the Faculty of Architecture and Design STU, 26(1), 20-29.
Lai, H., Deng, X., & Chang, T. Y. P. (2019). BIM-based platform for collaborative building design and project management. Journal of Computing in Civil Engineering, 33(3), 05019001.
Lee, D. J., Ding, J., & Guzzo, T. J. (2019). Improving operating room efficiency. Current urology reports, 20(6), 28.
Li, X., Lu, W., Xue, F., Wu, L., Zhao, R., Lou, J., & Xu, J. (2022). Blockchain-enabled IoT-BIM platform for supply chain management in modular construction. Journal of construction engineering and management, 148(2), 04021195.
Liu, Z., Lu, Y., & Peh, L. C. (2019). A review and scientometric analysis of global building information modeling (BIM) research in the architecture, engineering and construction (AEC) industry. Buildings, 9(10), 210.
Lu, Q., Parlikad, A. K., Woodall, P., Don Ranasinghe, G., Xie, X., Liang, Z., ... & Schooling, J. (2020). Developing a digital twin at building and city levels: Case study of West Cambridge campus. Journal of management in engineering, 36(3), 05020004.
Margara, A., Cugola, G., Felicioni, N., & Cilloni, S. (2023). A model and survey of distributed data-intensive systems. ACM Computing Surveys, 56(1), 1-69.
Marinakis, V. (2020). Big data for energy management and energy-efficient buildings. Energies, 13(7), 1555.
Samsudin, N. S., Mohammad, M. Z., Khalil, N., Nadzri, N. D., & Ibrahim, C. K. I. C. (2022). A thematic review on Prevention through design (PtD) concept application in the construction industry of developing countries. Safety science, 148, 105640.
Sepasgozar, S. M., Costin, A. M., Karimi, R., Shirowzhan, S., Abbasian, E., & Li, J. (2022). BIM and digital tools for state-of-the-art construction cost management. Buildings, 12(4), 396.
Vuong, Q. H., La, V. P., Nguyen, H. K. T., Ho, M. T., Vuong, T. T., & Ho, M. T. (2021). Identifying the moral–practical gaps in corporate social responsibility missions of Vietnamese firms: An event‐based analysis of sustainability feasibility. Corporate Social Responsibility and Environmental Management, 28(1), 30-41.
Wang, K., Guo, F., Zhang, C., Hao, J., & Schaefer, D. (2022, March). Digital technology in architecture, engineering, and construction (AEC) industry: Research trends and practical status toward construction 4.0. In Construction research congress 2022 (pp. 983-992).
You, Z., & Feng, L. (2020). Integration of industry 4.0 related technologies in construction industry: a framework of cyber-physical system. Ieee Access, 8, 122908-122922.
