摘要
为量化航线飞行员的风险行为及影响因素,通过综合文献与专家法确定航线飞行员风险画像的维度界定,编制航线飞行员风险画像指标体系问卷;在航空公司面向资深飞行员开展问卷调研,获取有效样本116份;通过探索性因子分析(EFA)检验问卷信效度,验证性因子分析(CFA)检验风险画像指标体系的有效性,结合有效指标组合赋权法确定风险画像指标重要度。结果表明:飞行员风险画像作为一种基于大数据理论的风险评估方法,能够有效量化飞行员的个人风险;飞行员风险画像指标体系包括能力、技能、作风、社会风险、人格、身心状态6个维度及20项指标,其中风险知觉及空间认知能力是影响飞行员风险画像评估的最重要的2项指标。
In order to quantify risk behaviors of airline pilots and its influencing factors,dimensions of pilot risk portrait were defined through literature synthesis and expert evaluation method.Then,questionnaire of airline pilots risk portrait index system was compiled and implemented among senior pilots of airlines,for which 116 valid samples were obtained.Finally,questionnaire’s reliability and validity were tested by exploratory factor analysis(EFA),system effectiveness was examined by confirmatory factor analysis(CFA),and impact importance of each index was determined by adopting effective index combination weighting method.The results show that pilot risk profile,as an assessment method based on big data theory,can effectively quantify personal risks of pilots.And its index system includes six dimensions,namely pilot ability,skills,style,social risk,personality,physical and mental status,and 20 indexes.Among them,risk perception and space perception are the two most important ones.
作者
汪磊
蒋引
谭维
WANG Lei;JIANG Yin;TAN Wei(Flight Academy,Civil Aviation University of China,Tianjin 300300,China;Key Laboratory of Airlines Artificial Intelligence of Civil Aviation of China,Tianjin 300300,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2020年第11期13-21,共9页
China Safety Science Journal
基金
天津市研究生科研创新项目(2019YJSS068)
国家自然科学基金委员会与中国民用航空局联合资助(U1733117)。
