Construction projects involve numerous risks that can impact cost, schedule, quality, safety, and sustainability. Effective risk management is critical for project success. Building Information Modelling (BIM) offers capabilities that can transform risk management across the project lifecycle. This paper provides a systematic review of how BIM can aid core risk management processes including identification, analysis, response planning, and monitoring. An extensive literature review synthesizes key techniques and findings on leveraging BIM-based tools and workflows for construction risk management. Case studies provide practical insights on implementation. Expert interviews reveal real-world perspectives on opportunities and challenges. The findings indicate BIM enables automated and visualization-based risk identification across project stages. BIM supports detailed qualitative and quantitative risk analysis through model simulations and integration with key performance data. It facilitates scenario-based evaluation of risk response plans through impact analysis. BIM also enables real-time risk monitoring by connecting models to construction progress data and early warning systems. However, issues around change resistance, contractual alignment, model reliability, and integration with existing systems constrain the realization of BIM’s risk management capabilities. A conceptual framework is developed to guide workflows, best practices, and further research on BIM adoption for minimizing construction project risks.

1. N.J. Smith, T. Merna, P. Jobling, Managing Risk in Construction Projects, Wiley, 2014.
2. A. Salman, “Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry,” Leadership and Management in Engineering, vol. 11, no. 3, pp. 241–252, 2011, doi:10.1061/(ASCE)LM.1943-5630.0000127.
3. C.M. Eastman, BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, Wiley, 2011.
4. Y. Zou, A. Kiviniemi, S.W. Jones, “A review of risk management through BIM and BIM-related technologies,” Safety Science, vol. 97, , pp. 88–98, 2017, doi:https://doi.org/10.1016/j.ssci.2015.12.027.
5. J. Wang, X. Zhang, W. Shou, X. Wang, B. Xu, M.J. Kim, P. Wu, “A BIM-based approach for automated tower crane layout planning,” Automation in Construction, vol. 59, , pp. 168–178, 2015, doi:https://doi.org/10.1016/j.autcon.2015.05.006.
6. P. Wu, Y. Feng, “Identification of non-value adding activities in precast concrete production to achieve low-carbon production,” Architectural Science Review, vol. 57, no. 2, pp. 105–113, 2014, doi:10.1080/00038628.2013.829023.
7. K.N. Ali, H.H. Alhajlah, M.A. Kassem, “Collaboration and Risk in Building Information Modelling (BIM): A Systematic Literature Review,” Buildings, vol. 12, no. 5, pp. 571, 2022, doi:10.3390/buildings12050571.
8. R. Volk, J. Stengel, F. Schultmann, “Building Information Modeling (BIM) for existing buildings — Literature review and future needs,” Automation in Construction, vol. 38, , pp. 109–127, 2014, doi:https://doi.org/10.1016/j.autcon.2013.10.023.
9. D. Bryde, M. Broquetas, J.M. Volm, “The project benefits of Building Information Modelling (BIM),” International Journal of Project Management, vol. 31, no. 7, pp. 971–980, 2013, doi:https://doi.org/10.1016/j.ijproman.2012.12.001.
10. H. Liu, M. Al-Hussein, M. Lu, “BIM-based integrated approach for detailed construction scheduling under resource constraints,” Automation in Construction, vol. 53, , pp. 29–43, 2015, doi:https://doi.org/10.1016/j.autcon.2015.03.008.
11. L.S. Kang, H.S. Moon, N. Dawood, M.S. Kang, “Development of methodology and virtual system for optimised simulation of road design data,” Automation in Construction, vol. 19, no. 8, pp. 1000–1015, 2010, doi:https://doi.org/10.1016/j.autcon.2010.09.001.
12. A. Monteiro, J. Poças Martins, “A survey on modeling guidelines for quantity takeoff-oriented BIM-based design,” Automation in Construction, vol. 35, , pp. 238–253, 2013, doi:https://doi.org/10.1016/j.autcon.2013.05.005.
13. Y. Lu, L. Yin, Y. Deng, G. Wu, C. Li, “Using cased based reasoning for automated safety risk management in construction industry,” Safety Science, vol. 163, , pp. 106113, 2023, doi:https://doi.org/10.1016/j.ssci.2023.106113.
14. L. Chen, H. Luo, “A BIM-based construction quality management model and its applications,” Automation in Construction, vol. 46, , pp. 64–73, 2014, doi:https://doi.org/10.1016/j.autcon.2014.05.009.
15. V.S.K.V. Harish, A. Kumar, “A review on modeling and simulation of building energy systems,” Renewable and Sustainable Energy Reviews, vol. 56, , pp. 1272–1292, 2016, doi:https://doi.org/10.1016/j.rser.2015.12.040.
16. N. Rane, “Integrating Building Information Modelling (BIM) and Artificial Intelligence (AI) for Smart Construction Schedule, Cost, Quality, and Safety Management: Challenges and Opportunities,” SSRN Electronic Journal, 2023, doi:10.2139/ssrn.4616055.
17. S. Zhang, K. Sulankivi, M. Kiviniemi, I. Romo, C.M. Eastman, J. Teizer, “BIM-based fall hazard identification and prevention in construction safety planning,” Safety Science, vol. 72, , pp. 31–45, 2015, doi:https://doi.org/10.1016/j.ssci.2014.08.001.
18. W. Zhou, J. Whyte, R. Sacks, “Construction safety and digital design: A review,” Automation in Construction, vol. 22, , pp. 102–111, 2012, doi:https://doi.org/10.1016/j.autcon.2011.07.005.
19. H. Hamledari, B. McCabe, S. Davari, “Automated computer vision-based detection of components of under-construction indoor partitions,” Automation in Construction, vol. 74, , pp. 78–94, 2017, doi:https://doi.org/10.1016/j.autcon.2016.11.009.
20. A. Darko, A.P.C. Chan, Y. Yang, M.O. Tetteh, “Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs,” Computers in Industry, vol. 123, , pp. 103327, 2020, doi:https://doi.org/10.1016/j.compind.2020.103327
21. F. Jalaei, A. Jrade, “An Automated BIM Model to Conceptually Design, Analyze, Simulate, and Assess Sustainable Building Projects,” Journal of Construction Engineering, vol. 2014, , pp. 1–21, 2014, doi:10.1155/2014/672896.
22. O.O. Akinade, L.O. Oyedele, S.O. Ajayi, M. Bilal, H.A. Alaka, H.A. Owolabi, S.A. Bello, B.E. Jaiyeoba, K.O. Kadiri, “Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills,” Waste Management, vol. 60, , pp. 3–13, 2017, doi:https://doi.org/10.1016/j.wasman.2016.08.017.
23. Y. Xiao, M. Watson, “Guidance on Conducting a Systematic Literature Review,” Journal of Planning Education and Research, vol. 39, no. 1, pp. 93–112, 2019, doi:10.1177/0739456X17723971.
24. C. Pickering, J. Byrne, “The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early-career researchers,” Higher Education Research & Development, vol. 33, no. 3, pp. 534–548, 2014, doi:10.1080/07294360.2013.841651.
25. R.K. Yin, Case Study Research: Design and Methods, SAGE Publications, 2009.
26. J. Saldaña, The Coding Manual for Qualitative Researchers, AGE Publications Ltd, 2021.
27. D. Goodrick, Comparative Case Studies: Methodological Briefs – Impact Evaluation No. 9, Methodological Briefs, 2014, doi:DOI:
28. A. Moser, I. Korstjens, “Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis,” European Journal of General Practice, vol. 24, no. 1, pp. 9–18, 2018, doi:10.1080/13814788.2017.1375091.
29. M.M. Abdalla, L.G.L. Oliveira, C.E.F. Azevedo, R.K. Gonzalez, “Quality in Qualitative Organizational Research: types of triangulation as a methodological alternative,” Administração: Ensino e Pesquisa, vol. 19, no. 1, pp. 66–98, 2018, doi:10.13058/raep.2018.v19n1.578.
30. W. Chengke, X. Bo, M. Chao, L. Xiao, “OVERVIEW OF BIM MATURITY MEASUREMENT TOOLS ,” Journal of Information Technology in Construction (ITcon), vol. 22, , pp. 34–62, 2017.
31. Q. Lu, J. Won, J.C.P. Cheng, “A financial decision making framework for construction projects based on 5D Building Information Modeling (BIM),” International Journal of Project Management, vol. 34, no. 1, pp. 3–21, 2016, doi:https://doi.org/10.1016/j.ijproman.2015.09.004.
32. Y. Zhou, L.Y. Ding, L.J. Chen, “Application of 4D visualization technology for safety management in metro construction,” Automation in Construction, vol. 34, , pp. 25–36, 2013, doi:https://doi.org/10.1016/j.autcon.2012.10.011.
33. S. Azhar, J. Brown, “BIM for Sustainability Analyses,” International Journal of Construction Education and Research, vol. 5, no. 4, pp. 276–292, 2009, doi:10.1080/15578770903355657.
34. S. Zhang, J. Teizer, J.-K. Lee, C.M. Eastman, M. Venugopal, “Building Information Modeling (BIM) and Safety: Automatic Safety Checking of Construction Models and Schedules,” Automation in Construction, vol. 29, , pp. 183–195, 2013, doi:https://doi.org/10.1016/j.autcon.2012.05.006.
35. R. Bortolini, C.T. Formoso, D.D. Viana, “Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling,” Automation in Construction, vol. 98, , pp. 248–264, 2019, doi:https://doi.org/10.1016/j.autcon.2018.11.031.
36. P. JeeWoong, K. Kyungki, C.Y. K, “Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors,” Journal of Construction Engineering and Management, vol. 143, no. 2, pp. 05016019, 2017, doi:10.1061/(ASCE)CO.1943-7862.0001223.
37. M.R. Saleem, J.-W. Park, J.-H. Lee, H.-J. Jung, M.Z. Sarwar, “Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network,” Structural Health Monitoring, vol. 20, no. 4, pp. 1760–1777, 2020, doi:10.1177/1475921720932384.
38. Farzad Jalaei, Ahmad Jrade, “INTEGRATING BUILDING INFORMATION MODELING (BIM) AND ENERGY ANALYSIS TOOLS WITH GREEN BUILDING CERTIFICATION SYSTEM TO CONCEPTUALLY DESIGN SUSTAINABLE BUILDINGS,” Journal of Information Technology in Construction (ITcon), vol. 19, , pp. 494–519, 2014.
39. D. Aghimien, M. Ikuabe, L.M. Aghimien, C. Aigbavboa, N. Ngcobo, J. Yankah, “PLS-SEM assessment of the impediments of robotics and automation deployment for effective construction health and safety,” Journal of Facilities Management, vol. ahead-of-print, no. ahead-of-print, 2022, doi:10.1108/JFM-04-2022-0037.
40. L. Ding, Y. Zhou, B. Akinci, “Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD,” Automation in Construction, vol. 46, , pp. 82–93, 2014, doi:https://doi.org/10.1016/j.autcon.2014.04.009.
41. K. Chen, W. Lu, Y. Peng, S. Rowlinson, G.Q. Huang, “Bridging BIM and building: From a literature review to an integrated conceptual framework,” International Journal of Project Management, vol. 33, no. 6, pp. 1405–1416, 2015, doi:https://doi.org/10.1016/j.ijproman.2015.03.006.
42. R. Sacks, C. Eastman, G. Lee, P. Teicholz, BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers, Wiley, 2018.
43. A. Rashidi, A.M. Maalim, L. Gutierrez-Bucheli, D. Maxwell, M. Arashpour, “Evaluating the Effectiveness of BIM-based Virtual Reality for Coordinating the Design Disciplines in a Building Renovation Project,” IOP Conference Series: Earth and Environmental Science, vol. 1101, no. 3, pp. 032019, 2022, doi:10.1088/1755-1315/1101/3/032019.
44. Z. Hu, J. Zhang, “BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 2. Development and site trials,” Automation in Construction, vol. 20, no. 2, pp. 167–180, 2011, doi:https://doi.org/10.1016/j.autcon.2010.09.014.
45. L.-C. Wang, Y.-C. Lin, P.H. Lin, “Dynamic mobile RFID-based supply chain control and management system in construction,” Advanced Engineering Informatics, vol. 21, no. 4, pp. 377–390, 2007, doi:https://doi.org/10.1016/j.aei.2006.09.003.
46. A.F. Waly, W.Y. Thabet, “A Virtual Construction Environment for preconstruction planning,” Automation in Construction, vol. 12, no. 2, pp. 139–154, 2003, doi:https://doi.org/10.1016/S0926-5805(02)00047-X.
47. H. Son, S. Lee, C. Kim, “What drives the adoption of building information modeling in design organizations? An empirical investigation of the antecedents affecting architects’ behavioral intentions,” Automation in Construction, vol. 49, , pp. 92–99, 2015, doi:https://doi.org/10.1016/j.autcon.2014.10.012.
48. L. Weisheng, F. Ada, P. Yi, L. Cong, R. Steve, “Demystifying Construction Project Time–Effort Distribution Curves: BIM and Non-BIM Comparison,” Journal of Management in Engineering, vol. 31, no. 6, pp. 04015010, 2015, doi:10.1061/(ASCE)ME.1943-5479.0000356.
49. V. Getuli, S.M. Ventura, P. Capone, A.L.C. Ciribini, “A BIM-based Construction Supply Chain Framework for Monitoring Progress and Coordination of Site Activities,” Procedia Engineering, vol. 164, , pp. 542–549, 2016, doi:https://doi.org/10.1016/j.proeng.2016.11.656.

Citations by Dimensions

Citations by PlumX

Crossref Citations

This paper is currently not cited.

No. of Downloads per Month

No. of Downloads per Country