| 英文摘要 |
This study focuses on the construction industry in Taiwan and explores the practical application of technology-assisted management in fall hazard prevention. With the increasing scale of construction projects and the growing complexity of work environments and construction methods, falls from heights have frequently become the primary type of occupational accidents on construction sites, highlighting the urgent need for effective fall hazard prevention. Traditional safety management methods are increasingly insufficient to address complex and dynamic risks; therefore, the adoption of technology-assisted solutions such as smart helmets, sensing devices, AI-based image recognition, and real-time monitoring systems has emerged as a crucial development trend in construction safety management. This study employs literature review, expert interviews, and questionnaire surveys, and utilizes the Analytic Hierarchy Process (AHP) to construct a framework identifying the key factors influencing the effectiveness of technology applications. Further analysis is conducted on the practical challenges encountered during the implementation of technological interventions at construction sites. The results reveal that the human factor is the most significant determinant affecting both the effectiveness and practicality of technological applications, followed by the management, environmental, and institutional dimensions. The research findings reveal that cost considerations, technological maturity, the extent of education and training promotion, and regulatory policy support are the main factors affecting the success of technology-assisted management. Based on these findings, this study proposes specific recommendations targeting government policy initiatives, internal management practices of construction companies, and future directions for integrated technological applications, aiming to enhance the effectiveness of fall hazard prevention on construction sites and to foster a robust workplace safety culture. |