Abstract
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.
Highlights
In recent years, urban rail transit has become an important choice for many large cities in China to solve traffic congestion, alleviate air pollution, and restructure urban space due to its fastness and efficiency, large carrying capacity, energy saving, and environmental protection [1]
Public health emergencies have the characteristics of sudden occurrence, high uncertainty, and complex evolution situation, which may lead to the lack of effective emergency plan for some specific public health emergencies [4]
It should be pointed out that, in view of the actual emergency responses, the generation of emergency plan should consider the expected response effect to the emergency, and think about the cost of the implementation. en, it is necessary to consider the emergency response effects and costs synthetically when extracting historical cases and generating emergency plan through by CaseBased Reasoning (CBR) [9]. erefore, for the limitation of the current researches, this paper provides a method of emergency plan generation based on using the decision paradigm of similar historical cases analysis
Summary
Urban rail transit has become an important choice for many large cities in China to solve traffic congestion, alleviate air pollution, and restructure urban space due to its fastness and efficiency, large carrying capacity, energy saving, and environmental protection [1]. The existing CBR-based emergency response methods rarely involve with the implementation effect and cost of the historical emergency plans. En, it is necessary to consider the emergency response effects and costs synthetically when extracting historical cases and generating emergency plan through by CBR [9]. Erefore, for the limitation of the current researches, this paper provides a method of emergency plan generation based on using the decision paradigm of similar historical cases analysis. (2) is paper provides a method for generating emergency contingency plans, which considers the implementation effects of similar cases. Is method effectively makes up for the shortcomings of the existing CBR-based emergency plan generation method in the extraction and analysis of similar cases, such as the insufficient use of historical data and the lack of consideration of the implementation effect of the plan.
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