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基于社会网络的民航飞行不安全行为影响因素关系研究
引用本文:王文轲,张燕,赵源怡,刘馨悦. 基于社会网络的民航飞行不安全行为影响因素关系研究[J]. 科技导报(北京), 2020, 38(12): 149-158. DOI: 10.3981/j.issn.1000-7857.2020.12.014
作者姓名:王文轲  张燕  赵源怡  刘馨悦
作者单位:四川师范大学商学院, 成都 610101
基金项目:四川省社会科学规划项目(2019SB111);四川省科技厅重点研发计划(重大科技专项)2020年国际科技创新合作项目(20GJHZ0039)
摘    要:为提升民航飞行安全管理水平,基于不安全行为影响因素的重要性,通过文献分析和相关者调查的方式确定不安全行为影响因素集合。根据调研数据,运用社会网络分析(SNA)方法构建了不安全行为影响因素间的关系概念模型,研究其节点属性、核心—边缘分析、结构特征、影响力及聚类等级情况。结果表明,关键不安全行为影响因素节点可构成行为连锁反应链,进而连接成具有较高风险性的行为网络。其中,关键不安全行为影响因素包括职业倦怠、安全监察、业务技能熟练程度;存在行为连锁反应链,包括"知识水平较低—规程标准不够严格—民航飞行不安全"等;不安全行为影响因素网络的桥节点包括职业倦怠、压力等。

关 键 词:民航飞行  安全管理  不安全行为影响因素  社会网络分析(SNA)  聚类分析
收稿时间:2019-12-24

On the relationship among various influence factors of unsafe civil aviation flight behavior based on social network analysis
WANG Wenke,ZHANG Yan,ZHAO Yuanyi,LIU Xinyue. On the relationship among various influence factors of unsafe civil aviation flight behavior based on social network analysis[J]. Science & Technology Review, 2020, 38(12): 149-158. DOI: 10.3981/j.issn.1000-7857.2020.12.014
Authors:WANG Wenke  ZHANG Yan  ZHAO Yuanyi  LIU Xinyue
Affiliation:Business School, Sichuan Normal University, Chengdu 610101, China
Abstract:To enhance the management of civil aviation flight safety, a set of factors influencing unsafe behavior is determined through literature analysis and stakeholder survey. Then a network model of relationship among these factors is built by applying social network analysis. Its node attributes, core-edge analysis, structural feature, influence and hierarchical clustering are investigated.The result shows that the key unsafe behavior influencing factor nodes can form a reaction chain, which can in turn connect with others into a high-risk behavior network. Among them, the key unsafe behavior influence factors include job burnout, safety supervision, and business skills proficiency. There is a chain of behavioral reactions, including "the level of knowledge is low- procedures are not strict- civil aviation flight is unsafe", etc. Some kinds of behavior such as job burnout, stress, etc. can serve as bridge nodes in the network of factors influencing unsafe behavior.
Keywords:civil aviation flight  safety management  unsafe behavior influence factor  social network analysis(SNA)  hierarchical clustering  
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