Guest Editor(s)
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
Special Issue Information
The construction industry continues to face persistent safety challenges, with high rates of accidents, injuries, and operational risks on worksites worldwide. Complex environments, dynamic tasks, and human-machine interactions create a high-risk setting, making worker safety a critical concern. Despite improvements in regulations and safety protocols, traditional approaches often fall short in addressing real-time hazards and preventing incidents on active sites.
Recent advances in artificial intelligence (AI) and the Internet of Things (IoT) are offering new opportunities to improve safety and operational efficiency in construction. Through real-time data collection, environmental monitoring, and intelligent alert systems, AI-IoT solutions enable more responsive and proactive safety management. These technologies also support better coordination, hazard detection, and decision-making, contributing to the development of smart and connected construction sites.
However, key challenges remain in integrating, scaling, and deploying these technologies in complex construction settings. This Special Issue aims to gather research that addresses both the opportunities and limitations of AI-IoT applications in enhancing site safety and intelligence. We invite contributions that explore innovative methods, case studies, and interdisciplinary approaches toward building safer, more connected construction environments.
Keywords of the Special Issue:
• Smart construction sites
• Construction safety management
• AI applications in construction
• Internet of Things (IoT) in construction
• Real-time site monitoring
• Large language models (LLM)
• Hazard detection technologies
• Proactive safety systems
• Intelligent sensing for construction
• Worker safety and wearable devices
• Data-driven construction safety
• Human–machine collaboration on site
• Site automation and robotics
• Predictive risk assessment
• Digital transformation in construction
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