Research On Risk Assessment Of Operator's Dangerous Goods Air Transportation

With the rapid development of economic globalization,society's demand for air transportation continues to grow,and air cargo volume hits record highs.At the same time as the rapid development of air cargo,the demand for air transport of dangerous goods continues to rise.Simultaneously increasing pressure to ensure the safety of air transportation of dangerous goods.Judging from the previous literature and data research on air transportation of dangerous goods,the risk assessment and safety management of air transportation of dangerous goods are mostly studied at a micro or local level,or using traditional human,machine,and environmental The theoretical thinking of the management of the four aspects of the risk of the system from a static perspective.From the macro perspective,combined with the development of time,the research on the dynamic risk assessment of the entire process of air transportation of dangerous goods is limited.Studying the risk transmission and impact of various links in the air transportation of dangerous goods from a macro perspective,we can have a comprehensive understanding of the risks that have a greater impact on the system.Achieve a balance between risk management costs and risk management levels.The most important participant in the air transportation system is the operator.The air transportation of dangerous goods from a macro perspective is analyzed.First,determine the links and their risk influencing factors for the entire process of the operator's air transportation of dangerous goods,and properly screen the links and their risk influencing factors to facilitate the establishment of the model.Then,through literature research,find the suitable method for dynamic risk assessment of the entire process of dangerous goods air transportation by operators.Based on the method of assessing the quality risk of the goods in the logistics cold chain transportation,the dynamic Bayesian network was used for risk assessment.Finally,a dynamic Bayesian network was used to establish an operator risk assessment model for dangerous goods air transport.Combining the data with expert experience to calculate reasonable prior probability transition probability and other data,the GeNIe software was used to analyze the model and the results.The assessment method used in this article is different from the traditional static risk assessment method,which aims to carry out dynamic risk assessment on the core links of air transportation of dangerous goods from different macro perspectives.At the same time,it provides operators with a macro risk assessment method.Different operators can use different data according to their own actual conditions to obtain evaluation results that meet their own conditions.Based on the results of the assessment,the company will make precise policies and make targeted efforts to effectively and efficiently differentiate risk management.