【摘要】 为减少城市地下空间施工事故发生，采用内容分析与社会网络分析相结合的方法，解构事故人为致因。首先，基于感知-分析-应答(PAR)事故致因模型，构建城市地下空间施工事故人因“主体-因子-状态”分析框架;然后，根据城市地下空间施工事故案例，编码提取致因因子，并明确致因主体关系与致因状态;最后，通过网络共现、中心性分析和相关性分析绘制人为致因结构模型，以此解析城市地下空间施工事故人因结构。结果表明:坍塌、中毒和窒息事故是城市地下空间施工事故的主要类型;导致事故发生的高频人因共计24项，包含9项核心人为致因。人为致因结构模型显示，致因主体中决策管理层安全责任尤为重大;核心致因因子“安全技术交底不到位”扮演风险枢纽角色，深刻影响致因网络;致因状态间存在较强关联效应，尤以信息缺失状态与其他状态发生特征明显。更多还原

【Abstract】 In order to reduce the occurrence of accidents during construction in urban underground spaces,a combined methodology of content analysis and social network analysis was employed to deconstruct human factors in accidents during urban underground space construction for risk reduction.Firstly,based on PAR accident causation model,a tri-dimensional analytical framework of " SubjectFactor-State" was developed for human-induced accidents in urban underground construction. Secondly,authentic accident cases were utilized to encode and extract causal factors,while causal subjects and states were systematically identified. Finally,a structural model of human-induced causation was constructed through network co-occurrence,centrality analysis,and correlation analysis to reveal inherent causal mechanisms. Key findings reveal: Collapse,poisoning,and suffocation constitute the predominant accident types,with 24 high-frequency human factors identified, including 9 core contributing factors. The structural model demonstrates that decision-making managers bear critical safety responsibilities among causal subjects. The core factor " inadequate safety technical disclosure",functions as a pivotal risk hub significantly influencing the causal network. Causal states exhibit strong interdependencies,particularly highlighting the pronounced interaction between information deficiency and other states.更多还原