A Possibility Evaluation Model for Road Transportation of Hazardous Chemicals Based on Bow-tie Theory and Bayesian Model

Jian Zhao, Mingguang Zhang
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Abstract

This paper collected 1115 road transportation accidents of hazardous chemicals in China from 2013 to 2021, and constructed a total of 120 accident chains, among which the most common accident chain was "impact → rear-end collision → fuel tank damage → leakage", with a total of 195 times. Based on the analysis of historical accident data, the occurrence mechanism of road transportation accidents of hazardous chemicals was discussed. Based on the bow-tie theory, the bow-tie diagram was established to realize the construction of qualitative reasoning bow-tie diagram for multi-disaster coupling accidents in road transportation of hazardous chemicals. The mapping rules between Bow-tie model and Bayesian network were established, and the structure of Bayesian network for road transportation of hazardous chemicals was constructed. The prior probability and conditional probability of Bayesian network nodes are determined by multi-source data, and the real-time accident probability evaluation is realized by combining quantitative and qualitative methods. Finally, a real time evaluation of the possibility of multi-disaster coupling accidents is realized every 30 seconds through a numerical example, which reflects the influence law of multi-disaster coupling scenarios on risks.
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基于蝴蝶结理论和贝叶斯模型的危险化学品公路运输可能性评估模型
本文收集了2013-2021年我国危险化学品道路运输事故1115起,共构建了120条事故链,其中最常见的事故链为 "撞击→追尾→油箱损坏→泄漏",共195次。在分析历史事故数据的基础上,探讨了危险化学品道路运输事故的发生机理。基于领结理论,建立了领结图,实现了危险化学品道路运输多灾种耦合事故定性推理领结图的构建。建立了领结模型与贝叶斯网络的映射规则,构建了危险化学品道路运输贝叶斯网络结构。通过多源数据确定了贝叶斯网络节点的先验概率和条件概率,并通过定量和定性相结合的方法实现了事故概率的实时评估。最后,通过数值实例实现了每 30 秒一次的多灾种耦合事故可能性实时评估,反映了多灾种耦合情景对风险的影响规律。
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