基于有向加权网络的高处坠落事故致因分析

为了了解高处坠落事故致因的复杂性，减少类似事故的发生，收集210个高处坠落事故案例，通过事故链分析技术获取致因关系，整合构成有向加权网络；运用复杂网络理论对致因网络特征进行分析，得出高处坠落事故致因的演化关系，提取了现场安全监管不足和安全意识淡薄两个关键节点，并根据致因联系强度对重要节点的控制提出建议。本研究有助于揭示高坠事故致因内在联系和演化特征，控制关键致因提升管理效率。

Cause Complexity Analysis of Falling Accidents Based on Directed Weighted Network

In order to understand the complexity of the causes of falling accidents and reduce the occurrence of similar accidents，210 cases of falling accidents were collected，and the causal relationship was obtained through the accident chain analysis technology，and the directional weighted network was integrated. Based on the complex network theory，the characteristics of the causal network are analyzed and discussed，and the evolutionary relationship of the causes of falling accidents is obtained. Two key nodes of insufficient safety supervision and weak safety awareness are extracted. Finally，some suggestions on the control of important nodes are put forward according to the strength of causal links. This study is helpful to reveal the internal relationship and evolution characteristics of the causes of falling accidents，improve management efficiency by controlling key causes.