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基于关联规则挖掘的船员不安全行为致因网络分析OA北大核心

An Analysis of the Seafarers'Unsafe Actions Causality Network Based on Association Rule Mining

中文摘要英文摘要

船员不安全行为是水上交通事故频发的关键诱因,但现有研究多集中于单一因素分析,缺乏对其多因素耦合致因机制的挖掘剖析.基于886份水上交通事故调查报告,运用扎根理论对事故调查报告的文本内容进行处理,归纳提炼得出船员不安全行为及其致因;依据人为因素分析分类模型,建立起包含5个层面、76个因素的船员不安全行为及其致因分析框架;采用关联规则挖掘算法,探究船员不安全行为及其致因间的耦合关系,揭示其如何协同作用于船员不安全行为的发生机制;运用复杂网络理论,将关联规则挖掘的结果映射到有向加权网络中,建立船员不安全行为致因网络模型,通过对模型的拓扑特征进行深入分析,识别出在事故过程中发挥关键作用的节点.结果表明:船员不安全行为致因网络呈现出典型的小世界网络特性,平均聚类系数为0.63,平均路径长度为2.095 2,表明影响因素间关联紧密,易引发连锁反应;置信度大于0.5的关联规则中,"值班船员严重瞭望疏忽"有55%的概率与其他因素协同作用引发其他船员不安全行为,致因网络中其介数中心性值约为0.262 7,在致因路径发展中发挥关键中介作用;"未采取安全航速"与"未充分、正确利用导助航设施,或导助航设施不可用"在搁浅事故中存在高度关联关系,与其他因素耦合时的相互诱发概率达70%.此外,"未能及早发现并采取有效的风险化解措施""船长应急处置能力差"等在多个事故类型的关联规则中频繁出现,表明这些不安全行为在船员应对风险过程中属于重要环节.

Seafarers'unsafe actions are pivotal contributors to the frequent occurrence of waterborne traffic acci-dents.However,the majority of existing research tends to concentrate on the analysis of single factors,with insuffi-cient exploration of the underlying mechanisms involving the interplay of multiple factors.Based on 886 water-borne traffic accident investigation reports,unsafe actions and its causal factors are extracted by utilizing Grounded Theory.According to the framework of human factor analysis and classification system(HFACS),an analytical framework for the unsafe actions and causal factors is established,encompassing five levels and 76 factors.associa-tion rule mining(ARM)algorithm is utilized for the exploration of the coupling relationship and interaction be-tween the seafarers'unsafe actions.It reveals how various causal factors synergistically contribute to the occur-rence of seafarers'unsafe actions.By employing complex network theory,the results of association rule analysis are mapped onto a directed weighted network,constructing a causal network model for seafarers'unsafe actions.The key nodes influencing seafarers'unsafe actions are identified by analyzing the topological characteristics of the network.It is highlighted that the causation network of seafarers'unsafe actions exhibits typical small-world net-work characteristics,with an average clustering coefficient of 0.63 and an average path length of 2.095 2.This indi-cates that the influencing factors are closely interconnected,making it susceptible to triggering chain reactions.Among the strong association rules,"severe lookout negligence by watchkeeping seafarers"has a 55%probability of interacting with other factors to trigger other seafarers'unsafe actions.The betweenness centrality value of it is approximately 0.262 7,playing a crucial intermediary role in the development of causation pathways."Failure to adopt a safe speed"and"inadequate use of navigational aids"exhibit a highly correlated relationship in grounding accidents,with a mutual inducement probability of 70%when interacting with other factors.Unsafe actions such as"failure to detect and implement effective risk mitigation measures in a timely manner"and"poor emergency re-sponse capabilities of the captain"frequently emerge in the association rules across multiple accident types.It indi-cates that these unsafe actions occupy a pivotal position in the process of seafarers'risk management.

马晓雪;张瑞文;乔卫亮;韩冰;杨杰

大连海事大学航运经济与管理学院 辽宁 大连 116026||大连海事大学公共管理与人文艺术学院 辽宁 大连 116026大连海事大学航运经济与管理学院 辽宁 大连 116026大连海事大学轮机工程学院 辽宁 大连 116026上海船舶运输科学研究所有限公司 上海 200135大连海事大学轮机工程学院 辽宁 大连 116026

资源环境

水上交通事故船员不安全行为致因分析关联规则复杂网络

waterborne traffic accidentseafarers'unsafe actionscausation analysisassociation rule miningcom-plex network

《交通信息与安全》 2025 (2)

1-10,10

中央高校基本科研业务费项目(3132024627)资助

10.3963/j.jssn.1674-4861.2025.01.001

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