AI Innovations and Digital Transformation for Risk Assessment and Management in Sustainable Construction
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".
Deadline for manuscript submissions: 18 March 2026 | Viewed by 134
Special Issue Editors
Interests: construction management; building information modeling; IoT
Special Issue Information
Dear Colleagues,
The construction industry is witnessing rapid technological advancements as artificial intelligence (AI) and digital transformation increasingly redefine risk assessment and management strategies. These innovations empower construction professionals to shift from manual, reactive approaches towards proactive, predictive methods, significantly enhancing project sustainability. Leveraging advanced technologies facilitates improved safety management, optimized resource efficiency, reduced environmental impacts, and enhanced sustainable development outcomes.
This Special Issue aims to highlight the latest developments and practical applications of AI and digital technologies in enhancing risk management practices for sustainability-oriented construction projects. Contributions should address how these technologies support effective risk management, promote safety, and encourage sustainability throughout the construction lifecycle.
Potential topics include, but are not limited to, the following:
- AI-driven predictive modeling for sustainable risk management;
- Digital transformation integration with Building Information Modeling (BIM) and Digital Twins;
- IoT and real-time monitoring for risk detection in sustainable construction;
- Machine learning methods for proactive hazard identification and accident prevention;
- Autonomous systems and drone technology for enhanced safety management;
- Data-driven decision-making tools for sustainable and risk-aware project management.
We invite original research, comprehensive reviews, and practical case studies from academia, industry experts, and policymakers that illustrate the transformative potential of AI and the digital transformation in advancing sustainable construction management.
Dr. Ung-Kyun Lee
Dr. Si Van-Tien Tran
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI-driven risk management
- digital twins in engineering
- building information modeling (BIM)
- real-time monitoring
- sustainable development
- automated safety management
- digital transformation
- AI-driven decision-making
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