首页|IFAM与24Model的对比研究

IFAM与24Model的对比研究

扫码查看
为完善和推动事故致因理论的发展,提高事故防控水平,在对信息流事故致因模型(IFAM)和事故致因2-4模型(24Model)理论基础、组成要素和分析过程对比研究的基础上,通过实例分析辨识二者之间的异同.研究结果表明:IFAM与24Model都有较强的理论基础,部分组成要素存在对应关系,但原因类别划分存在差异.IFAM以信息流和组织为研究对象,研究过程相对复杂,更适用于分析单起事故;24Model以组织为研究对象,事故原因模块通用性和逻辑性强,适用于分析单起或某类事故.在实际应用中,IFAM与24Model均可用于事故调查分析和事故分级定责,具有一定的理论和实践价值.IFAM通过信息流表征事故致因,直观描述组织外部原因因素,但对个体能力的深入研究欠缺;而24Model认为组织外部因素需要通过组织内部原因模块的欠缺体现,认为个体能力是引发事故的间接原因并进行细致分析,但对组织间相关关系的探究欠缺.研究结果可为事故预防工作提供新视角和理论支撑.
Comparative study of IFAM and 24Model
To improve and promote the development of accident causation theory and improve the accident prevention and control level,based on the comparative study of the theoretical basis,components,and analysis process of IFAM and 24Model,the similarities and differences between the two were identified through case analysis.The results show that both IFAM and 24Model have the strong theoretical basis,and there is correspondence between some of the components,but there are differ-ences in the classification of cause categories.IFAM takes the information flow and organization as the research object,and the research process is relatively complex,so it is more suitable for analyzing single accident.24Model takes the organization as the research object,and the accident causation module has strong versatility and logic,so it is suitable for analyzing single ac-cident or a class of accidents.In the practical application,both IFAM and 24Model can be used for accident investigation and analysis and accident classification and responsibility determination,which have certain theoretical and practical value.IFAM characterizes the accident causation through information flow,and intuitively describes the external causal factors of organiza-tion,but lacks in-depth study of individual capability.24Model argues that the external factors of organization need to be re-flected through the lack of internal organizational cause module,which considers and meticulously analyzes individual capabil-ity as the indirect cause of accidents,but lacks the exploration of inter-organizational correlations.The research results can provide a new perspective and theoretical support for accident prevention.

information-flow-based accident-cause model(IFAM)accident causation 24Model(24Model)accident cau-sationroad traffic accidentcomparative study

刘晓露、严玉琼、张苏、高梦瑶、聂晓琴

展开 >

北京科技大学土木与资源工程学院,北京 100083

福州大学环境与安全工程学院,福建福州 350116

福州海盈港务有限公司,福建福州 350015

信息流事故致因模型(IFAM) 事故致因2-4模型(24Model) 事故致因 道路交通事故 对比研究

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(9)
  • 13