基于Logistic回归的民航ASIS风险辨识仿真

Risk Identification Simulation of Civil Aviation ASIS Based on Logistic Regression

传统的安检系统风险辨识方法在辨识风险因素时采用综合性分析的概念,未能分析因素重要性程度,导致其存在旅客停留安检区域时间长、安检系统安全程度低的问题。为此提出基于Logistic回归的民航机场安检系统风险辨识方法。首先分析机场风险,并在Logistic回归分析模型中计算各风险值的权重,根据风险值重要性程度判断机场安检系统风险的主要因素。根据取得的风险指标构建判断矩阵,再通过对机场安检系统风险展开评价完成风险辨识。实验结果表明,应用该方法后,旅客在旅客安检区域停留时间更短,安检系统的安全程度最高可达到97%。通过上述实验说明所提方法的实用性较强,能为提高民航机场安检效率奠定基础。

The traditional risk identification method of security check system adopts the concept of comprehensive analysis when identifying risk factors, but fails to analyze the importance of factors, which leads to the problems of long time of passengers staying in security check area and low security degree of security check system. Therefore, this study proposes a risk identification method of civil airport security system based on Logistic regression. First, the airport risk was analyzed, and the weight of each risk value was calculated in the Logistic regression analysis model, and the main risk factors of airport security check system were judged according to the importance degree of risk value. The judgment matrix was constructed according to the obtained risk indicators, and then the risk identification was completed through the risk evaluation of the airport security system. The experimental results show that the passengers’ stay time in the security check area is shorter and the security level of the security check system is up to 97%. The above experiments show that the method is practical and can lay a foundation for improving security efficiency of civil aviation airport.