脆弱性(计算)
互联网
工程类
建筑工程
计算机安全
计算机科学
建筑工程
业务
万维网
作者
Lizi Luo,Shiying Hu,Ke Chen,Yunlin Liu,Clyde Zhengdao Li
标识
DOI:10.1109/tem.2024.3378840
摘要
Prefabricated construction, known for its efficiency and eco-friendliness, presents new safety management challenges due to its unique characteristics, such as the use of large components and frequent lifting operations. The presence of safety vulnerability in this construction method is influenced by various factors, and Internet of Things (IoT) technologies hold substantial promise in mitigating this vulnerability. This study adopted partial least squares structural equation modeling (PLS-SEM) to comprehensively scrutinize the relationships among various factors and their impacts on the formation of safety vulnerability. Furthermore, a two-mode social network analysis was conducted to quantitatively analyze the mitigation effects of IoT technologies on safety vulnerability. The results revealed that workers' unsafe behaviors, high work pressure, and inadequate construction supervision significantly contribute to the formation of safety vulnerability in prefabricated construction. The study further found that IoT technologies play a crucial role in mitigating safety vulnerability by improving compliance with safety regulations and fostering safety commitment among managers. Notably, sensors and Auto-ID technologies emerged as prominent IoT technologies with substantial reduction effects on safety vulnerability. These findings strongly advocate for the widespread adoption of IoT in prefabricated construction to enhance safety performance.
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