[1]王永刚,马文婷.基于TRACEr-SHEL模型的管制员差错行为核心影响因素研究*[J].中国安全生产科学技术,2023,19(12):193-199.[doi:10.11731/j.issn.1673-193x.2023.12.026]
WANG Yonggang,MA Wenting.Study on core influencing factors for error behavior of controllers based on TRACEr-SHEL model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(12):193-199.[doi:10.11731/j.issn.1673-193x.2023.12.026]
点击复制
基于TRACEr-SHEL模型的管制员差错行为核心影响因素研究*
WANG Yonggang,MA Wenting.Study on core influencing factors for error behavior of controllers based on TRACEr-SHEL model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(12):193-199.[doi:10.11731/j.issn.1673-193x.2023.12.026]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 19
- 期数:
- 2023年12期
- 页码:
- 193-199
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2023-12-31
文章信息/Info
- Title:
- Study on core influencing factors for error behavior of controllers based on TRACEr-SHEL model
- 文章编号:
- 1673-193X(2023)-12-0193-07
- 关键词:
- 管制员; 差错行为; 影响因素; TRACEr-SHEL模型; 社会网络分析法
- Keywords:
- controller; error behavior; influencing factor; TRACEr-SHEL model; social network analysis (SNA)
- 分类号:
- X949；V321.3
- 文献标志码:
- A
- 摘要:
- 为掌握管制员差错行为规律，利用TRACEr-SHEL模型对影响管制员差错行为的内、外因素进行分析，采用社会网络分析法（SNA）构建影响因素网络模型，计算各影响因素的中心性指标，确定各影响因素之间的关联关系，识别导致管制员差错的关键影响因素。研究结果表明：协调指挥差错、监视识别差错、通信差错、使用设备工具差错是管制员外部差错基本类型；感知混淆、警觉性失效、注意力分散等是影响管制员差错的内部因素，设备故障、仪表显示不友好、操作不便利等是影响管制员差错的外部因素。感知与警觉性、注意力、记忆、工作场所环境等因素中心性指标均位于网络模型的前30%，其是管制员差错行为的核心影响因素。研究结果可为减少管制员差错行为、提高管制过程的可靠性提供依据。
- Abstract:
- In order to grasp the law of controllers’ error behavior and manage it effectively,the TRACEr-SHEL model was used to analyze the internal and external factors influencing the error behavior of controllers,and the social network analysis (SNA) was used to construct the network model of influencing factors.The centrality index of each influencing factor was calculated,then the correlation between each influencing factor was determined,and the key influencing factors that lead to controller errors were identified.The results show that the coordination and command errors,surveillance and identification errors,communication errors,and errors in the use of equipment and tools are the basic types of controllers’ external errors.The perception confusion,alertness failure,and attention distraction are the internal factors affecting controller errors,and the equipment fault,unfriendly instrument displays,and inconvenient operation are the external factors affecting controller errors.The centrality indexes of perception and alertness,attention,memory,and workplace environment are all in the top 30% of the network model,and they are the core influencing factors of the controllers’ error behavior.The results can provide a basis for reducing the error behavior of controllers and improving the reliability of control process.
参考文献/References:
［1］高扬,朱艳妮.基于HEART方法的管制员调配飞行冲突的人为差错概率研究［J］.安全与环境工程,2013,20(4):97-101.
GAO Yang,ZHU Yanni.Research on human error probability for flight conflict deployment by air traffic controllers controllers based on HEART［J］.Safety and Environmental Engineering,2013,20(4):97-101.
［2］TOBARUELA G,SCHUSTER W,MAJUMDAR A,et al.A method to estimate air traffic controller mental workload based on traffic clearances［J］.Journal of Air Transport Management,2014,39:59-71.
［3］MOON W C，YOO K E，CHOI Y C.Airtraffic volumeandair traffic control human errors［J］.Journal of Transportation Technologies，2011，1(3):47-53.
［4］ISAACA R,RUITENBERG B.Air traffic control:human performance factors ［J］.Communication,1999,120(4):54-58.
［5］MARTINA T,ALBERTO B,GUIDO B,et al.Emotional and cognitive influences in air traffic controller tasks:an investigation using a virtual environment?［J］.Applied Ergonomics,2018（69）:1-9.
［6］GRAZIANOA，TEIXEIRA A P，GUEDES S C.Classification of human errors in grounding and collision accidentsusing the TRACEr taxonomy［J］.Safety Science，2016（86）:245-257.
［7］马俊雄.基于SHEL模型的空管差错评估研究［D］.昆明：云南大学,2020.
［8］BARRY K,GIBSON W H,BRIAN H.Human error data collection as a precursor to the development of a human reliability assessment capability in air traffic management［J］.Reliability Engineering & System Safety,2008,93(2):217-233.
［9］BONGO M F,ALIMPANGOG K M S,LOAR J F,et al.An application of DEMATEL-ANP and PROMETHEE II approach for air traffic controllers’ workload stress problem:a case of mactan civil aviation authority of the philippines［J］.Journal of Air Transport Management,2018（68）:198-213.
［10］MANNING W C,MILLS S,FOX C,et al.The relationship between air traffic control communication events and measures of controller taskload and workload［J］.Air Traffic Control Quarterly,2002（10）:69-83.
［11］CHANG Y H,YANG H H,HSW W J.Effects of work shifts on fatigue levels of air traffic controllers［J］.Journal of Air Transport Management,2019,76:1-9.
［12］GALSTER S M,DULEY J A,MASALONIS A J,et al.Air Traffic controller performance and workload under mature free flight:conflict detection and resolution of aircraft self-separation［J］.International Journal of Aviation Psychology,2001,11(1):71-93.
［13］庾睿.本体驱动贝叶斯网的空管人为差错分析应用研究［D］.天津：中国民航大学,2019.
［14］苏文国.空中交通管制系统中人为差错的研究［D］.泉州：华侨大学,2011.
［15］FRENCH S,BEDFORD T,POLLARD S,et al.Human reliability analysis:acritique and review for managers［J］.Safety Science,2011,49(6):753-763.
［16］王永刚,董保健.管制员人为差错影响因素及指标权重分析［J］.中国安全生产科学技术,2011,7(2):28-33.
WANG Yonggang,DONG Baojian.Analysis of human error influence factors and evaluation indexes weights determination for air traffic controller［J］.Journal of Safety Science and Technology,2011,7(2):28-33.
［17］周建亮，朱琰，苗晋维，等.基于SNA的煤矿安全生产关键风险因素分析与对策［J］.煤矿安全，2023，54（1）：252-256.
ZHOU Jianliang,ZHU Yan,MIAO Jinwei,et al.Analysis and countermeasures of key risk factors of coalmine safety production based on SNA［J］.Safety in Coal Mines,2023,54（1）:252-256.
［18］LEI W,QLA C,SD A,et al.Effectiveness assessment of ship navigation safety countermeasures using fuzzy cognitive maps［J］.Safety Science,2019（117）:352-364.
［19］ALREFAIE A.Factors affect companies’ safety performance inordan using structural equation modeling［J］.Safety Science，2013，57:169-178.
相似文献/References:
[1]杨智,罗帆.基于粗神经网络的管制员工作差错风险预警模型[J].中国安全生产科学技术,2011,7(12):44.
YANG Zhi,LUO Fan.Work error risks warning model of air traffic controller based on rough sets and neural networks[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(12):44.
[2]袁乐平,谷泽坤.基于RAG的管制员安全韧性分析方法研究*[J].中国安全生产科学技术,2023,19(12):52.[doi:10.11731/j.issn.1673-193x.2023.12.007]
YUAN Leping,GU Zekun.Study on analysis method for safety resilience of controllers based on RAG[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(12):52.[doi:10.11731/j.issn.1673-193x.2023.12.007]
备注/Memo
- 备注/Memo:
-
收稿日期： 2023-03-25
* 基金项目： 中国民航局安全能力项目(ASSA2021)
作者简介： 王永刚，博士，教授，主要研究方向为系统安全管理，人因工程与行为管理以及质量、安全管理体系。
通信作者： 马文婷，硕士研究生，主要研究方向为民航安全与应急管理。
