Abstract:

In order to explore the factors influencing unsafe behaviors among new-generation construction workers, an analytical method based on an improved DEMATEL-FCM approach was proposed. First, interviews were conducted with new-generation construction workers, and grounded theory was used to identify the factors influencing their unsafe behaviors. An influencing-factor system was then constructed, comprising two core categories—external constraints and internal drivers—including eight main categories and multiple initial categories. Second, triangular fuzzy numbers were introduced to improve the direct-influence matrix in DEMATEL, thereby reducing the subjectivity of expert evaluations. By calculating the influencing degree, influenced degree, causal degree, and centrality of each factor, the factors were classified into prevention, control, early-warning, and supervision zones for preliminary analysis. Finally, dynamic simulation analysis of the influencing factors was conducted by integrating the predictive reasoning of FCM. The results show that factors such as large technical disparities, unclear career development, and weak organizational belonging occupy core positions, and that significant dynamic transmission effects exist among the factors.

Key words: decision-making trial and evaluation laboratory (DEMATEL), fuzzy cognitive maps (FCM), new-generation construction workers, unsafe behavior, triangular fuzzy numbers