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民航3类安全信息的TEM分布特征比较研究 被引量:5

Comparative study of three sources for safety information in civil aviation
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摘要 通过对自愿报告、强制报告和正常运行安全监测(NOSS)数据的威胁与差错管理(TEM)分析,获得了3类安全信息的威胁、差错和意外状态的分布特征。对比研究发现,强制报告中空中威胁、环境威胁的分布比例(55.46%;16.8%)明显高于自愿报告(32.42%;10.35%)和NOSS(19.26%;11.7%),说明强制报告信息侧重外部威胁与他人错误。自愿报告中"内部威胁-其他管制员"的比例(20.85%)显著高于NOSS(6.91%)和强制报告数据(4.20%),说明自愿报告可有效识别内部协作威胁和认知差错;NOSS对易识别、独立责任的"程序差错-文件"检出率(25%)显著高于自愿报告(2.81%)和强制报告(0%),证实了NOSS信息的客观性,但NOSS对低频度、高危害类差错的检出率显著偏低,说明小样本NOSS信息存在波动性。 The paper introduced and analyzed the characteristics of several aviation safety data sources in civil aviation. As is known, safety management based on information, but safety related data is unequal to effective information. The risk control strategies calls for effectively and comprehensively use of safety data. By using the framework of threat and error management ( TEM), operation safety data from database of Air Traffic Control (ATC) voluntary safety report system (VSRS), ATC safety compulsory information system (SCIS) and normal operation safety survey (NOSS) archives were analyzed. Different characteristics in distribution of threats/errors/undesired states in three databases have been identified. According to statistics results of the TEM taxonomy analysis, SCIS data has detailed record of occasions in operation, especially the serious incidents, but it emphasizes particularly on ATC external threats and errors from outside i.e. from pilots. 55.46% and 16.8% reported threats from SCIS are airborne threats and circumstance threats compare to which of VSRS(32.42%; 10.35%) and NOSS(29.26%; 11.7 % ) . While internal threats are 8.40% of whole threats in SCIS data compare to that of VSRS(33.94% ) and NOSS(27.65% ). Focusing on ATC internal threats and cognitive errors, VSRS can effectively find cognitive and co-operative threats that are not easily observed in operation, 20.85% of reported threats of VSRS are attribute to threats from other controllers, obviously higher than that of SCIS(4.20% ) and VSRS ( 6.91% ). But VSRS still have report bias. Threats from Airborne-Pilots in VSRS (12.94%) and SCIS ( 17.65% ) are higher than that of NOSS( 7.45% ) which is believed to be reliable and objective in recording threats. NOSS, as a thirdparty monitoring method, have advantaged in comprehensive information and small deviation. 25% of errors identified from NOSS archives are procedure errors in using documents which is solely responsible of controllers, compare to which of SCIS (0 % ) and VSRS (2.63%), but NOSS records only cover the survey period and are difficult to identify the threats and errors of low frequency but high hazard, i.e. pilot-controller communicate errors. The distribution of Undesired States of three sources has little difference. These three data sources have their own advantages and deficiencies. The research shows that the three safety sources can complement and validate each other. Data compare and integration of the three source of safety information could make clear the whole distribution of threats and errors in the operation circumstance.
出处 《安全与环境学报》 CAS CSCD 北大核心 2010年第3期170-174,共5页 Journal of Safety and Environment
基金 国家自然科学基金项目(60776805 60979006)
关键词 航空运输 人的因素 航空安全自愿报告 NOSS TEM air transportation human factor TEM civil aviation aviation safety information aviation safety voluntaryreporting system NOSS
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参考文献14

  • 1International Civil Aviation Organization.Safety management manual,DOC 9859-AN/460[M].Montreal:International Civil Aviation Organization,2006.
  • 2International Civil Aviation Organization.Line operations safety audit,DOC 9803-AN/761[M].Montreal:International Civil Aviation Organization,2002.
  • 3International Civil Aviation Organization.Normal operations safety survey,DOC 9910-AN/473[M].Montreal:International Civil Aviation Organization,2008.
  • 4Intentional Civil Aviation Organization.Safety oversight audit manual,DOC 9735-AN/960[M].2nd ed.Montreal:International Civil Aviation Organization,2006.
  • 5SEAMSTER,THOMAS L,KANKI,et al.Aviation information management:from document to data[M].Aldershot:Ashgate,2002.
  • 6WIEGMANN D,SHAPPELL S.Human error analysis of commercial aviation accidents:application of the human factors analysis and classification system[J].Aviation Space and Environmental Medicine,2001,72(11):1006-1016.
  • 7罗晓利.近12年中国民航人因事故与事故征候的分类研究(英文)[J].航天医学与医学工程,2004,17(5):318-321. 被引量:5
  • 8吕人力,周艳,周沐.空中交通管制团队人误的分类及致因研究[J].中国安全科学学报,2009,19(1):64-70. 被引量:12
  • 9DODD B.Safety data integration can lead to better understanding of risk[J].Intentional Civil Aviation Organization Journal,2007(2):21-22.
  • 10Intentional Civil Aviation Organization.Annex 13 to the convention on international civil aviation:aircraft accident and incident investigation[M].9th ed.Montreal:International Civil Aviation Organization,2001.

二级参考文献20

  • 1罗晓利.1990~2003年中国民航152起小于间隔飞行事件的分类统计研究[J].中国安全科学学报,2004,14(12):26-32. 被引量:47
  • 2霍志勤,罗帆.近十年中国民航事故及事故征候的统计分析[J].中国安全科学学报,2006,16(12):65-71. 被引量:79
  • 3Pape, M . A. , Wiegmann, D. A. , Shappell. S. Air traffic control (ATC) related accidents and incidents : a human factors analysis[A]. Presented at the 11^th International Symposium on Aviation Psychology[C ]. Columbus, OH: The Ohio State University, 2001
  • 4Sasou K, Reason J. Team errors: definition and taxonomy [ J]. Reliability Engineering and System Safety, 1999, 65:1 -9
  • 5Dormann&Frese, M. Error training: Replication and the function of Exploratory behavior[J]. International Journal of Human-Computer Interaction, 1994, 6(4) : 365 - 372
  • 6Smith-Jentsch, K A; Zeisig, R L. ; Acton, B & McPherson, J. A. , Team dimensional training: A strategy for guided team self-correction. Making Decisions under Stress: Implications for individual and team training[Z]. Washington DC: American Psychological Association, 1998, 271 - 297
  • 7XiaoLi Luo. Human factor in flight[M]. Chengdu:Southwestern Jiaotong university publishing houses, 2002.9-11.
  • 8XiaoLi Luo. Cockpit resource management[M].Chengdu: Southwestern Jiaotong university publishing houses, 2002.4.
  • 9Shappel SA, Wiegman DA. A human error approach to Accident Investigation: The Taxonomy of Unsafe Operations[J]. The International Journal of Aviation psychology(1997a), 1997,7:269-291.
  • 10Shappel SA, Wiegman DA. A Reliability Analysis of The Taxonomy of Unsafe Operations (Abstract)[J]. Aviation, Space, and Environmental Medicine(1997b),1997,69:620.

共引文献15

同被引文献48

  • 1European Air Traffic Management Programme. The Human Error in ATM Technique, HERA-JANUS[R]. Geneva: Euro- pean Organization for the Safety of Air Navigation, 2003.
  • 2International Civil Aviation Organization. Threat and Error Management in Air Traffic Control, C314-AN/178[R]. Mont- real: International Civil Aviation Organization, 2008.
  • 3International Civil Aviation Organization. Line Operations Safety Audit, D9803-AN/761 [R]. Montreal: International Civil Aviation Organization, 2002.
  • 4Ashleigh Merritt, James Klinect. Defensive Flying for Pilots: An Introduction to Threat and Error Management L R J. Austin: The University of Texas Human Factors Research Project, The LOSA Collaborative, 2006.
  • 5Dodd B. Safety data integration can lead to better understanding of risk[J].International Civil Aviation Organization Jour- nal, 2007, 62(2):21 -22.
  • 6Anthony M P, Douglas A W, Scott S. Air traffic control related accidents and incidents: a human factors analysis[A]. The 11^th International Symposium on Aviation Psychology[C]. Columbus, OH,2001:1 -4.
  • 7James T. Luxh~j, David W. Modeling low probability/high consequence events: An aviation safety risk model[A]. Reli- ability and Maintainability Symposium, RAMS 06 Annual Conference[C] . Newport Beach, CA,2006:215 -221.
  • 8James T. LuxhФj. Risk Analysis of Human performance in aviation maintenance[.A]. 16^th Human Factors in Aviation Maintenance Symposium[ C]. San Francisco, CA,2002 : 1 - 9.
  • 9Milan Janic. An assessment of risk and safety in civil aviation[J]. Journal of Air Transport Management, 2000, 6(1) : 43 - 50.
  • 10Frank H Hawkins.Human Factors in Flight.England:Ashgate Publishing Limited 1987:22-25,46-47.

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