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Research On Safety Management Strategy Of Urban Rail Operation System Oriented To Human Behavior

Posted on:2022-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:C Y ZhaoFull Text:PDF
GTID:2491306563978859Subject:Transportation planning and management
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Urban rail transit is an important foundation for the construction of modern cities.With the promulgation of the "14th Five-Year Plan",the construction of a powerful transportation nation has continued to advance.While urban rail transit is developing rapidly,it is also facing tremendous safety pressure.When studying the operation safety of urban rail system,domestic and foreign scholars pay more attention to improving the safety of equipment.However,the urban rail operation system is a complex system with highly coupling of human,machine and loop.Only the common safety of human,machine and environment can realize the overall safety of the system.The human factor is the most active and complex factor in the process of system operation,which plays an important role in the safety of urban rail operation and is the focus of the safety management of urban rail operation.Therefore,based on the actual needs of urban rail operation safety management,combined with the research methods of "macro + micro","whole + part" and the four safety management concepts of "overall safety,human-oriented,active safety and delicacy management ",this paper proposes a research on the safety management strategy of urban rail operation oriented to human behavior.The system safety management strategy based on the human factor composited risk network is used to reduce the risks of human,machine and environment and realize the overall safety of the system.Through individual employee behavior management strategy to reduce the cost of system safety,improve management efficiency.The main research results are as follows:(1)The human factor composited risk network model of urban rail operation is constructedBased on typical cases of urban rail operation accidents,the characteristics of accident causes are analyzed and the requirements of urban rail operation safety management are proposed.According to the complexity of human factor,the risk point of human factor is analyzed separately from the macro and micro perspectives.In the macro perspective,human risk points are regarded as job nodes,while in the micro perspective,human risk points are regarded as individual risk points of employees.It also analyzes the risk attributes of barrier behaviors and linkage behaviors of human risk points.Based on the requirements of overall safety management and considering the three major factors of human,machine and environment in the operation system,the construction method of human factor composited risk network model for urban rail operation is proposed.Based on the requirements of human-centered safety management,a behavior-oriented dismantling method of the human factor composited risk network model is proposed,which provides a basis for the follow-up research.Through the case study,the actual human factor composited risk network model of urban rail operation and the operation basic risk subnet and the operation linkage risk subnet are constructed,and the topological structure properties of the network model are analyzed(2)The evaluation method of risk point activity degree is proposedBased on the requirements of active safety management and complex network theory,the risk point activity degree evaluation method combining the K-order structural entropy and the original occurrence probability of risk points is proposed.This method can reflect the activation probability of the risk status of the risk point and the influence of the risk point in the network,and is suitable for large-scale urban rail operation system.(3)The system security management strategy based on the human factor composited risk network is proposedIn order to give full play to the subjective initiative of human factor and ensure the safety of mechanical and environmental factors in the urban rail operation system,based on the risk point activity degree and the operation basic risk subnet,a composition-environment oriented key safety barrier behavior intervention strategy is proposed..According to the scale index of the largest connected subgraph of the risk network,the effect evaluation method of the intervention strategy of the key security barrier behavior is proposed.In order to ensure the safety of human factor in the urban rail operation system,combining the activity degree of risk points and the edge betweenness,the evaluation method of edge importance degree is proposed.For the operation linkage risk subnet,a key operation linkage behavior management strategy based on edge importance degree is proposed.And according to the risk network edge connectivity index,the effect evaluation method of key operation linkage behavior management strategy is proposed.Through the case study,on the basis of research data,the key safety barrier behavior intervention strategy and key operation linkage behavior management strategy proposed in this paper are used to prove the effectiveness of the proposed strategy by comparing with other management strategies(4)The individual behavior management strategy based on risk propagation is proposed From the micro perspective,through the analysis of the characteristics of individual employee behavior propagation,the classic propagation model is introduced to construct the risks-safety propagation model of individual employee behavior of urban rail operation.From the perspective of cost,the optimal employee behavior management strategy is solved by using two classical heuristic algorithms,the genetic algorithm based on the elite selection strategy and the simulated annealing algorithm based on the Metropolis criterion.In the case study,a risk subnet for individual communication of employees based on driver post is constructed.Two classical algorithms are used to obtain the optimal strategy of individual employee behavior management,which reduces the cost of human behavior management.
Keywords/Search Tags:Urban rail transit system, Human behavior, Complex network, System dynamics, Safety management strategy
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