Urban rail network safety is a critical sector of urban public safety. However, there is no uniform standard for the safety evaluation of the urban rail network. This paper presents a novel methodology by integrating a multilevel decision tree with a fuzzy analytical approach to enhance urban rail network safety. The proposed methodology overcomes serious limitations such as subjectivity in the data and independence of the variables in decision-making processes. The proposed methodology is applied to the risk evaluation of the selected Chongqing rail transit lines and the Expo Line. The risk analysis is considered using the field data collected from these transit lines. The applied case studies confirm the general applicability of the methodology and the multilevel decision tree network. The main risk factors identified for the Chongqing rail traffic system are the terrorist threat, emergency management, and aging infrastructure which need to be investigated as a priority to mitigate risk associated with these infrastructures.

城市轨道交通网络安全是城市公共安全的重要部门。但是，对于城市轨道交通网络的安全性评估没有统一的标准。本文通过将多级决策树与模糊分析方法相集成来提出一种新颖的方法，以增强城市轨道交通网络的安全性。所提出的方法克服了严重的限制，例如数据的主观性和决策过程中变量的独立性。拟议的方法学应用于选定的重庆轨道交通线和世博线的风险评估。使用从这些运​​输线路收集的现场数据来考虑风险分析。应用案例研究证实了该方法和多层决策树网络的普遍适用性。