scholarly journals Decision-Making for Fire Emergency of Urban Rail Transit Based on Prospect Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun ◽  
Yufei Yang

Fire emergency response of urban rail transit is a complex multiattribute risk decision-making problem. In emergency response analysis, it is necessary to consider the psychological behaviors of decision-makers such as reference dependence, loss aversion, and judge distortion. Applying different emergency plans can intervene the development and evolution of urban rail emergency fire and may even result in different levels of casualties and property losses. For this situation, this paper proposes an emergency response decision-making method based on prospect theory. First, according to the prospect theory, this paper quantitatively describes the comprehensive psychological perception of decision-makers for casualties and property losses in different situations. Then, the psychological perception of decision-makers for the important levels of different situations is calculated. Third, according to the situation comprehensive values, situation weights, and the cost inputs of emergency plans, the comprehensive prospect values of each emergency plan are calculated, and the fire emergency plans can be ranked based on comprehensive prospect value. At last, the fire emergency disposal of Tianjin rail transportation line 3 is considered as the background in this paper. The feasibility and effectiveness of the purposed method is illustrated through the case study.

2013 ◽  
Vol 380-384 ◽  
pp. 2822-2826
Author(s):  
Yun Tao Du ◽  
Ling Ling Zhong

Emergency plan modeling is the foundation of the work for digitizing emergency plans. On the basis of analyzing the content and structure of the existing urban rail transit emergency plans, a formalization method for emergency plans based on ontology is put forward. The core terms of emergency plans are extracted and classified. The relationships between various concepts are concluded. Combined with related concepts of ontology five meta-words, the ontology model of emergency plans is constructed. The emergency plan system from a subway company is presented as a real world case to establish the semantic model, providing the feasibility of the method proposed.


2020 ◽  
Vol 12 (22) ◽  
pp. 9734
Author(s):  
Baofeng Sun ◽  
Jiaojiao Liu ◽  
Junyi Hao ◽  
Xiuxiu Shen ◽  
Xinhua Mao ◽  
...  

The networked operation of Urban Rail Transit (URT) brings the new challenge of network-wide maintenance. This research focuses on the URT Network-Wide Maintenance Decision-Making Problem (URT-NMDP), including regionalized maintenance network design and maintenance resource allocation. In this work, we proposed a bi-objective integer programming model that integrates the characteristics of set coverage and P-median models, resulting in the regionalized maintenance network design model. Some critical factors are considered in the model, such as the importance of node, the maximum failure response time, and maintenance guarantee rules. We designed a NSGA-II based algorithm to solve the model. Moreover, due to the uncertainty of failures in the URT network, we developed the method of allocating maintenance resources based on Monte Carlo simulation to strengthen the reliability of the regionalized maintenance network. With the model and algorithm presented in this work, we obtained Pareto optimal solutions of URT-NMDP, i.e., URT network-wide maintenance planning schemes, which include the number and location of maintenance points, the allocation of demand points, and the amount of maintenance units. Finally, a real-world case is studied to evaluate the operating performance of these schemes for verifying the method in our paper. The results of the case study demonstrate that the reasonable and tested-in-practice maximum failure response time is the precondition for the efficient URT maintenance network. The maintenance scheme considered the weighted importance of node shows the optimal performance, with the shortest overall maintenance path and the minimum average failure response time and investment cost on maintenance resources.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun

The decision-making for urban rail transit emergency events takes an important role in both reducing the losses caused by disasters and ensuring the safety of passengers. For the rainstorm emergency decision-making without certain scenario prediction information, considering the characteristic that the predisaster prevention measures will influence the effect of in-process countermeasures, this paper aimed to analyze the whole process scenarios for the occurrence, evolution, and development of rainstorm disaster in urban rail transit by considering the regret aversion of the decision makers. An emergency decision-making method for the beforehand-ongoing two stages rainstorm emergencies was developed to assess the emergency decision-making of urban rail transportation in different rainfall flood scenarios. Besides, the utilities and application costs of the emergency plans are also considered when defining the optimal emergency decision-making. This paper purposes the emergency decision-making model based on regret theory to define the optimal predisaster prevention method and ongoing responding measure for different disaster scenarios. Taking the Tianjin rail transportation as an example, this paper defines the optimal emergency decision-making to respond typhoon “Lekima.” The results show that if this method can be implemented in the rail transportation rainstorm disaster emergency responding and relevant disaster prevention management, then the reliability and risk responding capability of public transportation service can both be improved.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun ◽  
Yufei Yang

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.


2011 ◽  
Vol 228-229 ◽  
pp. 519-525
Author(s):  
Hong Yan Yan ◽  
Fei Lian Zhang

Aiming at the evaluation and optimization of urban rail transit network scheme, the optimization decision-making model based on group TOPSIS was advanced in this paper. The multi-attribute evaluation index system of urban rail transit network was established. Then the decision-making’s position matrix and the attribute weights were determined using the idea of group decision-making on the basis that group rationality was guaranteed , which aimed at the phenomenon that preference of decision-making existed and the reduction of decision-maker’s preference had influence on the result of decision-making. The network scheme was ranked based on TOPSIS method to arrive at a decision. The example in this paper has verified the effectiveness and practicability of the model.


2014 ◽  
Vol 587-589 ◽  
pp. 1862-1866
Author(s):  
Ying Wang ◽  
Kuan Min Chen

A comprehensive evaluation system was proposed in terms of operational effect, network structure, social benefits, strategic development and implementation. The indicators layer was taken as the index set, and the network programs were taken as the domain set to establish the original decision-making matrix. The comprehensive weights of the indexes were determined by the AHP and Entropy Method, with giving full consideration to the expert knowledge and experience, as well as data itself implies. Also, the weighted normalized decision-making was constructed. The positive and negative ideals were determined based on the TOPSIS, the pros and cons of the line networks were determined by calculating the degree of closeness of the programs to the negative ideal solution. This method was applied to Xi’an urban rail transit network planning. The result shows that this method has a better application prospect for its simple calculation and scientific decision.


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