In the process of continuous improvement and development of public transport,traffic safety problems caused by bus drivers’ bad psychology gradually appear.In various industries,the bus driver is a kind of high pressure,high risk occupation,the occupation group due to work pressure caused by the increasingly serious psychological problems,and the bus driver will bring this bad psychological pressure to work,not only will reduce the quality of public transport industry service,but also bring hidden dangers to the safety of public transport operation.Therefore,the bad psychological problems of bus drivers can not be ignored,the use of professional theories and methods to analyze the relationship between bad psychological symptoms and traffic safety,and find out the source of work pressure leading to bad psychological symptoms of bus drivers,in order to help the driver to relieve psychological pressure and negative emotions,improve the level of mental health of bus drivers.It is of great practical significance to improve the safety of bus operation.Taking the drivers of a bus enterprise in Jilin Province as the research object,the thesis uses univariate analysis and binary logistic regression analysis to determine the risk factors of bus drivers’ prone accidents,and puts forward the Bayesian network model of bus drivers’ mental health and traffic safety evaluation.The different severity of demographic characteristics,bad psychology and personality on drivers’ probability of traffic accidents as well as the key factors and combination factors of traffic accidents are analyzed.At the same time,in order to find out the work stress factors that cause bus drivers to produce bad psychological symptoms,a structural equation model of the relationship between work stress and bad psychological symptoms is constructed.The path coefficient effect of work stress on bus drivers’ bad psychological symptoms is quantitatively analyzed.Firstly,the demographic characteristics questionnaire,SCL-90 scale and Y-G scale are combined to evaluate the factors of bus drivers’ susceptibility to traffic accidents from the aspects of mental state and mental adjustment ability.Through single factor analysis,the influencing factors of bus drivers’ susceptibility to traffic accidents are preliminarily found.Binary logistic regression analysis is used todetermine seven factors,including somatization,depression and anxiety,that lead to traffic accidents of bus drivers.Secondly,the seven influencing factors of binary logistic regression analysis are graded and used as node variables.The Bayesian network structure of bus driver mental health and traffic safety assessment is constructed by combining expert knowledge and k2 algorithm.The Incorp Case File module in Netica software is used for parameter learning.Netica software is used to analyze the model,and the key factors and combination factors that significantly increase the probability of accidents are identified through accident prediction.The results of the diagnosis of the accident cause show that the most likely causes of the accident are moderate depression,severe anxiety and mild somatization.The area under ROC curve of Bayesian network model is 0.88,which indicates that this model has a high value of use.Finally,in order to analyze the work stressors that cause bus drivers’ bad psychology and ensure bus road safety,a structural equation model of the relationship between bus drivers’ work stress and bad psychological symptoms is constructed.The relationship between job stress and bad psychology is analyzed,and the route significance test of the model is used to determine the job stressors leading to bad psychology of bus drivers and the degree of influence of job stressors on bad psychological symptoms.The research methods and conclusions of the thesis not only help enterprises to better identify the extreme personality and bad psychological state of bus drivers,but also can take effective intervention measures from the perspective of work stress sources to relieve the psychological pressure of bus drivers,improve the level of bus drivers’ mental health,and improve the safety of public transport. |