中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (1): 24-31.doi: 10.16265/j.cnki.issn1003-3033.2023.01.0183

• 安全社会科学与安全管理 • 上一篇    下一篇

基于CA的建筑工人不安全行为传染机制

刘素霞(), 唐帅帅()   

  1. 江苏大学 管理学院,江苏 镇江 212013
  • 收稿日期:2022-08-10 修回日期:2022-11-02 出版日期:2023-01-28 发布日期:2023-07-28
  • 作者简介:

    刘素霞 (1979—),女,河北河间人,博士,教授,博士生导师,主要从事社会管理工程方面的研究。E-mail:

    唐帅帅 (1993—),男,安徽亳州人,硕士研究生,主要研究方向为安全管理。E-mail:

  • 基金资助:
    国家自然科学基金资助(72074099); 国家自然科学基金资助(71874072); 国家自然科学基金资助(72004081); 江苏省社会科学基金资助(20GLB009); 江苏省研究生科研与实践创新计划项目(SJCX20_1397)

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

摘要:

为抑制建筑工人间不安全行为的传染,借鉴易感-暴露-感染-康复(SEIR)模型,引入行为跟随者、行为接触者、不安全行为传染者和安全行为者4类行为主体,描述建筑工人不安全行为传染过程;考虑到工人群体关系的复杂性,提出小世界网络上的元胞自动机(CA)传染模型,刻画不同行为主体行为状态转化规则;运用数值仿真方法,分析行为跟随方式、不安全行为传染者分布模式与抑制率对不安全行为传染的影响。结果表明:行为跟随者的不同跟随方式、不安全行为传染者的不同分布模式对不安全行为传染效果具有显著影响,抑制率与不安全行为传染效果负向相关,其中,综合跟随方式下的行为传染效果最为显著;小群体分散分布模式极大地扩大和强化不安全行为传染者的传染范围与能力;适度的抑制性措施能够有效抑制不安全行为传染。

关键词: 元胞自动机(CA), 建筑工人, 不安全行为, 行为传染, 传染网络

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