An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers' Safety Behavior

被引:75
|
作者
Choi, Byungjoo [1 ]
Lee, SangHyun [1 ]
机构
[1] Univ Michigan, Dept Civil & Environm Engn, 2350 Hayward St,GG Brown Bldg, Ann Arbor, MI 48109 USA
关键词
Safety management; Safety behavior; Sociocognitive process; Agent-based modeling; Labor and personnel issues; PROTECTION MOTIVATION THEORY; PERCEIVED EXTERNAL PRESTIGE; ORGANIZATIONAL IDENTIFICATION; SOCIAL IDENTITY; AFFECTIVE COMMITMENT; SELF-CATEGORIZATION; RISK PERCEPTION; HONG-KONG; CLIMATE; INDUSTRY;
D O I
10.1061/(ASCE)CO.1943-7862.0001421
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Workers' unsafe behaviors have a substantial impact on construction safety. To regulate workers' unsafe behavior, construction practitioners have mainly used formal controls (e.g.,penalties). However, the formal approaches may not be effective at eliciting desired behavioral changes in improving safety behavior. Therefore, recently, researchers have paid more attention to how unsafe behaviors are produced. In this regard, cognitive models of safety behavior and empirical evidence on social influence have been suggested. However, there is a noticeable paucity of research investigating the mechanism behind the link between cognitive process, social influence, site risk, and safety behavior. In this paper, an empirically based agent-based model that incorporates theoretical and empirical findings of the sociocognitive process of workers' safety behaviors is developed. The model is used to conduct experiments examining how the sociocognitive process interacts with safety management interventions (i.e.,strictness and frequency of management feedback, and project identification) and influences workers' safety behaviors across different site risk conditions (i.e.,low-, modest-, and high-risk conditions). The results demonstrated that all three interventions contribute to decreasing the incident rate. Also, the interaction effects of the interventions in different site risk conditions were found using the parameter sweeping. The results indicated that (1)promoting workers' project identification would be an effective strategy in the modest-risk site condition; (2)other interventions should be combined after achieving the medium strictness of management feedback in the high-risk site condition; and (3)other interventions would not be effective without very strict management feedback in the low-risk site condition. This paper contributes to the body of knowledge on construction safety by extending the authors' understanding of the role of sociocognitive process and its interaction with the environment in shaping workers' safety behaviors. Additionally, the experiment results are expected to lay a strong foundation for developing effective safety management interventions in the construction projects.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Understanding the Sociocognitive Process of Construction Workers' Unsafe Behaviors: An Agent-Based Modeling Approach
    Ye, Gui
    Yue, Hongzhe
    Yang, Jingjing
    Li, Hongyang
    Xiang, Qingting
    Fu, Yuan
    Cui, Can
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (05)
  • [2] Methodology for Creating Empirically Supported Agent-Based Simulation with Survey Data for Studying Group Behavior of Construction Workers
    Ahn, Seungjun
    Lee, SangHyun
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2015, 141 (01)
  • [3] Empirically based, agent-based models
    Janssen, Marco A.
    Ostrom, Elinor
    [J]. ECOLOGY AND SOCIETY, 2006, 11 (02):
  • [4] Agent-based simulation of workers' behaviors, productivity, and safety around construction obstacles
    Binhomaid, Omar
    Hegazy, Tarek
    [J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2021, 48 (08) : 969 - 978
  • [5] A hybrid simulation framework for modelling construction projects using agent-based modelling and system dynamics: an application to model construction workers' safety behavior
    Nasirzadeh, Farnad
    Khanzadi, Mostafa
    Mir, Mostafa
    [J]. INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2018, 18 (02) : 132 - 143
  • [6] Psychological decision-making process of construction worker safety behavior: an agent-based simulation approach
    He, Changquan
    Jia, Guangshe
    McCabe, Brenda
    Chen, Yuting
    Zhang, Puwei
    Sun, Jide
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2023, 29 (01) : 141 - 153
  • [7] Agent-Based Model for Simulating Construction Safety Climate in a Market Environment
    Awwad, Rita
    Shdid, Caesar Abi
    Tayeh, Ralph
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2017, 31 (01)
  • [8] A process for BDI agent-based software construction
    Jo, CH
    Einhorn, JM
    [J]. SERP'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH AND PRACTICE, VOLS 1 AND 2, 2003, : 204 - 209
  • [9] An empirically informed agent-based model of a Nepalese smallholder village
    Roxburgh, Nicholas
    Evans, Andrew
    Gc, Raj K.
    Malleson, Nick
    Heppenstall, Alison
    Stringer, Lindsay
    [J]. METHODSX, 2021, 8
  • [10] An Agent-Based Framework for Simulating Contractors' Safety Behavior
    Tayeh, Ralph
    Awwad, Rita
    Shdid, Caesar Abi
    [J]. CONSTRUCTION RESEARCH CONGRESS 2016: OLD AND NEW CONSTRUCTION TECHNOLOGIES CONVERGE IN HISTORIC SAN JUAN, 2016, : 2679 - 2688