As an important public travel mode, urban rail transit has the characteristics of crowded passengers and closed operation. Safe management of urban rail transit is an important research topic that attracted attention in recent years. This article proposes a decision analysis method based on case-based reasoning, which aims to solve the emergency response problems for the prevention and control of corona virus disease 2019 (COVID-19) in urban rail transit. In this method, first, the historical cases are extracted and filtered by calculating the similarity between the target case and the historical case. A set of similar historical cases is constructed by setting the similarity threshold in advance. Second, comprehensive utility value of emergency response of each similar case is calculated referring to the utility evaluation of emergency response effect and response cost of each similar historical case. On this basis, the emergency plan of the target case is generated by selecting the emergency plans of the similar historical cases corresponding to the maximum comprehensive utility values of the emergency responses. Finally, with the emergency responses of COVID-19 in Tianjin rail transit as the background, this paper explains the feasibility and effectiveness of the proposed method within a case study.

中文翻译：

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基于案例推理的城市轨道交通COVID-19防治应急响应

城市轨道交通作为一种重要的公共交通方式，具有乘客拥挤，封闭运营的特点。城市轨道交通的安全管理是近年来引起关注的重要研究课题。本文提出了一种基于案例推理的决策分析方法，旨在解决城市轨道交通中2019年冠状病毒病（COVID-19）的应急响应问题。在这种方法中，首先，通过计算目标案例与历史案例之间的相似度来提取和过滤历史案例。通过预先设置相似度阈值来构造一组相似的历史案例。第二，参照每个相似历史案例的应急响应效用评估和响应成本，计算出每个相似案例的应急响应综合效用值。在此基础上，通过选择与应急响应的最大综合效用值相对应的相似历史案例的应急计划来生成目标案例的应急计划。最后，以天津轨道交通COVID-19的应急响应为背景，在案例研究中解释了该方法的可行性和有效性。通过选择与应急响应的最大综合效用值相对应的相似历史案例的应急预案来生成目标案例的应急预案。最后，以天津轨道交通COVID-19的应急响应为背景，在案例研究中解释了该方法的可行性和有效性。通过选择与应急响应的最大综合效用值相对应的相似历史案例的应急预案来生成目标案例的应急预案。最后，以天津轨道交通COVID-19的应急响应为背景，在案例研究中解释了该方法的可行性和有效性。