Safety recommendation comparison of aviation accident investigation reports between China and US based on WFA

Journal of Civil Aviation University of China ›› 2020, Vol. 38 ›› Issue (2): 51-54.

• Civil Aviation • Previous Articles Next Articles

Safety recommendation comparison of aviation accident investigation reports between China and US based on WFA

CUI Zhenxin, SUN Wenlong

（College of Flight Technology, CAUC, Tianjin 300300, China）

Received:2018-12-16 Revised:2019-03-15 Online:2020-04-25 Published:2020-05-13

Abstract

Abstract: After an aviation accident/incident happens, the accident investigation agencies will propose corresponding safety recommendation for the hidden dangers of aviation system found during investigation. WFA is conducted aiming at the key words of safety recommendation in the Sino-US aviation accident investigation reports, including 130 accident investigation reports issued by CAAC in 2017 and 53 accident investigation reports released by US NTSB in 2013-2017. Results show that the four aspects of safety recommendation mostly involved are ‘pilot/unit’,‘procedure/regulation’‘machine/equipment’‘practice/training’, which are the key orientations of aviation safety management. Most safety recommendation given by CAAC aims at airlines, while the US aims more at FAA; in terms of procedure and regulation, CAAC emphasizes mostly the compliance of regulation, while the US emphasizes the revision of regulation.

Key words: aviation safety, accident investigation report, WFA, safety recommendation, safety management

CLC Number:

V328.2

CUI Zhenxin, SUN Wenlong. Safety recommendation comparison of aviation accident investigation reports between China and US based on WFA[J]. Journal of Civil Aviation University of China, 2020, 38(2): 51-54.

References 10

[1]	包继来. 建立事故安全建议跟踪制度的几点思考[C]//江苏省航海学会2005 年学术研讨会, 南通, 2005: 105-108.
[2]	王占海, 曹大树, 陈奇, 等. 航空安全建议闭环管理研究[J]. 民航学报, 2018, 2(1): 22-25, 6.
[3]	SCOTT S, DOUGLAS W. Closing the loop on the system safety process:the human factors intervention matrix(HFIX)[C]//ISASI, Orlando, Florida, Oct-Dec, 2009: 20-25.
[4]	霍志勤, 谢孜楠, 张永一. 航空事故调查中人的因素安全建议框架研究[J]. 中国安全生产科学技术, 2011, 7(2): 91-97.
[5]	孙墨. 基于词频分析的《论语》《老子》思想比较研究[D]. 哈尔滨:黑龙江大学, 2014.
[6]	左丽华. 词频分析及常用工具比较研究[J]. 图书馆学刊, 2016, 38(6): 38-41.
[7]	张勤. 词频分析法在学科发展动态研究中的应用综述[J]. 图书情报知识, 2011(2): 95-98, 128.
[8]	魏瑞斌. 基于关键词的情报学研究主题分析[J]. 情报科学, 2006, 24(9): 1400-1404, 1434.
[9]	赵星, 高小强, 郭吉安, 等. 基于主题词频和g 指数的研究热点分析方法[J]. 图书情报工作, 2009, 53(2): 7, 59-61.
[10]	范佳健. 微博评论信息的聚类分析[D]. 合肥: 安徽大学, 2017.

Safety recommendation comparison of aviation accident investigation reports between China and US based on WFA

Knowledge

Abstract

Cite this article

share this article

References 10

Related Articles 7

Recommended Articles

Metrics

Comments

[1]	SHI Xiaopeng, XIONG Chen. Research on the protective effect of aviation child safety device on 1.5-year-old children [J]. Journal of Civil Aviation University of China, 2024, 42(4): 24-28.
[2]	WANG Lei, ZHANG Mengxi, ZOU Ying, CAI Yiwei. Research on evaluation index of pilot ability based on information processing model [J]. Journal of Civil Aviation University of China, 2023, 41(2): 1-7.
[3]	LIU Junjie, YE Yinghao, DU Yinlan. Quantification of controlled flight into terrain event based on Bayesian network [J]. Journal of Civil Aviation University of China, 2023, 41(2): 21-26.
[4]	WANG Yonggang, HE Dingkun. Evaluation model of continuous flight safety capability of pilots [J]. Journal of Civil Aviation University of China, 2022, 40(4): 61-64.
[5]	CUI Zhenxin, ZHANG Zhuoyan. Automatic classification of civil aviation safety information based on text augment [J]. Journal of Civil Aviation University of China, 2022, 40(3): 47-53.
[6]	YU Sixuan, WANG Huawei. General aviation unsafe incident research based on correspondence analysis model [J]. , 2018, 36(6): 34-38.
[7]	YOU Yang,PAN Le-shu,YANG Hu. Evaluation of TEM effect in MPL training based on ANP and evidential theory [J]. , 2015, 33(4): 59-64.