安全与环境工程2024，Vol.31Issue(3)：96-102,127,8.DOI:10.13578/j.cnki.issn.1671-1556.20221186
基于演化博弈的民航危险品运输培训监管
Civil aviation dangerous goods transportation training supervision based on evolutionary game
摘要
Abstract
To promote the accurate supervision of civil aviation dangerous goods transportation training,im-prove the efficiency of civil aviation supervision,realize the best situation of compliance training and super-vision,and further ensure the safety of aviation transportation,from the perspective of behavioral interac-tion and microeconomics,the evolutionary game method is used to construct the evolutionary game model between the training institutions of dangerous goods transportation and the Civil Aviation Administration.The situational conditions and reasons for the selection of behavioral strategies of the two parties in the game are quantitatively analyzed.The sensitivity of important parameters is numerically simulated and ana-lyzed by using MATLAB software.The influence of four important parameters on the evolution path and results of the system is discussed,including the probability of unsafe events caused by the insufficient abili-ty of the trainees,the success rate of supervision,the penalty,and the supervision cost.Finally,targeted suggestions and measures are put forward from the management level in the face of the supervision of civil aviation dangerous goods transportation training.The results show that the 3 parameters of the probability of unsafe events caused by the insufficient ability of the trainees,the success rate of supervision,and the penalty have a positive effect on the behavior choice of both sides of the game,while the supervision cost has a negative effect on the behavior choice of both sides of the game.关键词
民航危险品运输/培训监管/演化博弈/演化稳定策略/参数敏感性Key words
civil aviation dangerous goods transportation/training supervision/evolutionary game/evolution-ary stability strategy/parameter sensitivity分类
资源环境引用本文复制引用
沈海滨,赵胜男,袁铭怿,王悦颐..基于演化博弈的民航危险品运输培训监管[J].安全与环境工程,2024,31(3):96-102,127,8.基金项目
中国民航大学中央高校基金项目(3122018R003) （3122018R003）
