[1]ICAO,2020-2022 Global aviation safety plan[R].ICAO,2019.
[2]刘晓红,杨婕.我国双机空中相撞事故及事故征候统计分析[J].中国民用航空,2012,144(12):70-72.
LIU Xiaohong,YANG Jie.The statistical analysis of flight collision accidents and incidents in China [J].Civil Aviation of China,2012,144(12):70-72.
[3]朱磊,梁晓龙,张佳强.基于事故树和贝叶斯的军民航飞行冲突风险研究[J].火力与指挥控制,2016,41(9):53-56.
ZHU Lei,LIANG Xiaolong,ZHANG Jiaqiang.Risk analysis of civil aviation and military flight conflict based on fault tree and Bayesian [J].Fire Control & Command Control,2016,41(9):53-56.
[4]杨昌其.事故调查中危险接近的量化研究[D].成都:西南交通大学,2004.
[5]陈芳,范丹红.空中危险接近的系统动力学机理及仿真研究[J].安全与环境学报,2017,17(4):1365-1370.
CHEN Fang,FAN Danhong.Underlying principle and asimulation study of midair collision [J].Journal of Safety and Environment,2017,17(4):1365-1370.
[6]王洁宁,庾睿.Onto-BN框架下空管任务差错耦合分析[J].安全与环境学报,2018,18(6):2235-2240.
WANG Jiening,YU Rui.Analytic investigation of coupling in ATCO’s task error under the Onto-BN frame [J].Journal of Safety and Environment,2018,18(6):2235-2240.
[7]王红勇,温瑞英.基于复杂网络的空中交通态势风险评估方法[J].中国安全科学学报,2018,28(5):172-178.
WANG Hongyong,WEN Ruiying.Research on assessment of risk in air traffic situation based on complex network [J].China Safety Science Journal,2018,28(5):172-178.
[8]VALDS R M A,COMENDADOR V F G,CASTN J A P C,et al.Development of Safety Performance Functions (SPFs) to analyse and predict aircraft loss of separation in accordance with the characteristics of the airspace [J].Reliability Engineering & System Safety,2019,186:143-161.
[9]ANASTASOPOULOSP C.Random parameters multivariate tobit and zero-inflated count data models:addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis [J].Analytic Methods in Accident Research,2016,11:17-32.
[10]FOUNTAS G,ANASTASOPOULOS P C.Analysis of accident injury-severity outcomes:the zero-inflated hierarchical ordered probit model with correlated disturbances [J].Analytic Methods in Accident Research,2018,20:30-45.
[11]JIANG X,HUANG B,ZARETZKI R L,et al.Investigating the influence of curbs on single-vehicle crash injury severity utilizing zero-inflated ordered probit models [J].Accident Analysis & Prevention,2013,57:55-66.
[12]FOUNTAS G,RYET.A note on accounting for underlying injury-severity states in statistical modeling of injury accident data [J].Procedia Computer Science,2019,151:202-209.
[13]HARRISMN,ZHAOX.Azero-inflated ordered probit model,with an application to modelling to baccocon sumption[J].Journal of Econometrics,2007,141(2):1073-1099.
[14]ICAO.Procedures forair navigation services-air traffic management:Doc 4444-RAC 501[S].ICAO,2016.
[15]The UK Airprox Board.Contributing factors and riskrating[EB/OL].(2019-07-15)[2019-07-15].https://www.airproxboard.org.uk/Learn-more/Contributory-factors-and-risk-ratings/.
[16]The UK Airprox Board.Individual Airprox reports[EB/OL].(2019-01-06)[2019-01-06].https://www.airproxboard.org.uk/Reports-and-analysis/Airprox-Reports-2019/.
[1]霍志勤.中国民航运输航空器偏/冲出跑道统计分析[J].中国安全生产科学技术,2012,8(7):127.
HUO Zhi qin.Statistical analysis on runway excursion of transport aircraft in China[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(2):127.
[2]孙奕捷,张元,李敬.航空器设计、制造单位安全风险管理方案研究[J].中国安全生产科学技术,2012,8(12):132.
SUN Yi jie,ZHANG Yuan,LI Jing.Study on programme of risk management in aircraft designand manufacture organization[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(2):132.
[3]程明,梅傲然.基于关联规则的跑道着陆事件演化网络构建研究*[J].中国安全生产科学技术,2022,18(12):203.[doi:10.11731/j.issn.1673-193x.2022.12.029]
CHENG Ming,MEI Aoran.Research on construction of evolution network for runway landing event based on association rules[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(2):203.[doi:10.11731/j.issn.1673-193x.2022.12.029]