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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., authors=WANG Wenke, ZHANG Yan, ZHAO Yuanyi, LIU Xinyue, authorsList=WANG Wenke, ZHANG Yan, ZHAO Yuanyi, LIU Xinyue, authorCompany=Business School, Sichuan Normal University, Chengdu 610101, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=zkh4HlEG8xsOVMBo0tqlew==, pdfFileSize=1438478, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138419095220774, 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科技导报
| 研究论文 2020, 38(12): 149-158
基于社会网络的民航飞行不安全行为影响因素关系研究
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王文轲, 张燕, 赵源怡, 刘馨悦
作者信息
On the relationship among various influence factors of unsafe civil aviation flight behavior based on social network analysis
Affiliations
出版时间: 2020-06-28
doi: 10.3981/j.issn.1000-7857.2020.12.014
文章导航
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。
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
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.
civil aviation flight
/
safety management
/
unsafe behavior influence factor
/
social network analysis(SNA)
/
hierarchical clustering
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.
科技导报,
2020
, 38
(12)
: 149
-158
.
DOI: 10.3981/j.issn.1000-7857.2020.12.014
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
2020年第38卷第12期
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文章信息
doi: 10.3981/j.issn.1000-7857.2020.12.014
接收时间:2019-12-24
首发时间:2020-08-05
出版时间:2020-06-28
收稿日期:2019-12-24
修回日期:2020-02-07
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2020.12.014
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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