China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (1): 24-31.doi: 10.16265/j.cnki.issn1003-3033.2023.01.0183

• Safety social science and safety management • Previous Articles     Next Articles

Research on contagion mechanism of unsafe behavior of construction workers based on CA

LIU Suxia(), TANG Shuaishuai()   

  1. School of Management, Jiangsu University, Zhenjiang Jiangsu 212013, China
  • Received:2022-08-10 Revised:2022-11-02 Online:2023-01-28 Published:2023-07-28

Abstract:

In order to restrain the contagion of unsafe behavior among construction workers, the susceptibility-exposure-infection-recovery (SEIR) model was used to describe the infection process of unsafe behavior among construction workers by introducing four types of behavior subjects : behavior followers, behavior contacts, unsafe behavior infectors and safety actors. Considering the complexity of workers' group relations, a CA contagion model in a small-world network was proposed to characterize the transformation rules of different actors. By using numerical simulation method, the influence of behavior following mode, distribution pattern of unsafe behavior infectors and inhibition rate on unsafe behavior infection was analyzed. The results show that the different follow-up modes of behavior followers and the different distribution modes of unsafe behavior infectors have a significant influence on the contagion performance of unsafe behavior. The inhibition rate is negatively correlated with the contagion effect of unsafe behavior. Among them, the behavioral contagion effect under the comprehensive follow-up mode performance is the most significant. The decentralized distribution pattern of small groups greatly expands and strengthens the scope and ability of the infectors of unsafe behaviors; moderate inhibitory measures can effectively inhibit the contagion of unsafe behavior.

Key words: cellular automata(CA), construction workers, unsafe behavior, behavioral contagion, contagion network