|本期目录/Table of Contents|

[1]陈芳,韩美佳,陈茜.基于零膨胀模型的航空器危险接近事件安全影响因素研究*[J].中国安全生产科学技术,2021,17(2):147-151.[doi:10.11731/j.issn.1673-193x.2021.02.023]
 CHEN Fang,HAN Meijia,CHEN Xi.Research on safety influencing factors of aircraft near-midair collision events based on zeroinflated model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(2):147-151.[doi:10.11731/j.issn.1673-193x.2021.02.023]
点击复制

基于零膨胀模型的航空器危险接近事件安全影响因素研究*
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
17
期数:
2021年2期
页码:
147-151
栏目:
职业安全卫生管理与技术
出版日期:
2021-02-28

文章信息/Info

Title:
Research on safety influencing factors of aircraft near-midair collision events based on zeroinflated model
文章编号:
1673-193X(2021)-02-0147-05
作者:
陈芳韩美佳陈茜
(中国民航大学 经济与管理学院,天津 300300)
Author(s):
CHEN Fang HAN Meijia CHEN Xi
(College of Economic & Management,Civil Aviation University of China,Tianjin 300300,China)
关键词:
零膨胀有序概率模型航空器危险接近碰撞风险
Keywords:
zero-inflated ordered probit model aircraft near-midair collision collision risk
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2021.02.023
文献标志码:
A
摘要:
为探究航空器危险接近事件安全影响因素,降低航空器碰撞风险,利用二元概率函数区分航空器危险接近事件危险状态,利用probit函数确定不同风险等级结果,构建航空器危险接近事件零膨胀有序概率模型。结果表明:机组人员程序执行偏差、侵犯领空(无人驾驶飞机未获许可在管制空域飞行)、意图沟通无效或不充分、未监控其他飞机或监控不及时4个安全影响因素,增加航空器危险接近时碰撞风险概率分别为7.03%、4.25%、7.14%和6.03%。
Abstract:
In order to explore the safety influencing factors of aircraft near-midair collision events and avoid the risk of aircraft collision,the binary probability function was used to distinguish the risk status of aircraft near-midair collision events,then the probit function was used to determine the results of different risk levels,and a zero-inflated ordered probit model for the aircraft near-midair collision events was constructed.The results showed that there were four safety influencing factors including the program execution deviation of crew,violation of airspace (unmanned aircraft flying in controlled airspace without permission),ineffective or inadequate communication of intent,and failing in monitoring other aircrafts or failing in monitoring them timely,and their probability of increasing the collision risk in case of aircraft near-midair collision was 7.03%,4.25%,7.14% and 6.03%,respectively.

参考文献/References:

[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]VALDS R M A,COMENDADOR V F G,CASTN 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/.

相似文献/References:

[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]

备注/Memo

备注/Memo:
收稿日期: 2020-07-16
* 基金项目: 2019年民航局安全能力项目(ASSA2019/19)
作者简介: 陈芳,博士,教授,主要研究方向为民航安全管理及系统安全。
更新日期/Last Update: 2021-03-11