中国民航大学学报

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管制员不良工作状态特征调查研究

张兴俭,白鹏   

  1. (中国民航大学天津市空管运行规划与安全技术重点实验室,天津300300)
  • 收稿日期:2018-03-14 修回日期:2018-04-19 出版日期:2018-12-25 发布日期:2018-12-27
  • 作者简介:张兴俭(1986—),男,河南开封人,助理研究员,博士,研究方向为空中交通管理、人为因素与空管安全.
  • 基金资助:
    国家自然科学基金民航联合基金资助(U1533117);国家重点研发计划项目(2016YFB0502405);中国民航大学科研启动金(2014QD02X)

Investigation on bad working state characteristics of air traffic controller

ZHANG Xingjian, BAI Peng   

  1. (ATM Operation Programming and Safety Techniques Key Lab of Tianjin, CAUC, Tianjin 300300, China)
  • Received:2018-03-14 Revised:2018-04-19 Online:2018-12-25 Published:2018-12-27

摘要:

通过问卷调查收集到458 位管制员主观不良状态的数据,并对疲劳和紧张两种典型状态进行详细调查。考虑了不同管制因素统计分析不良状态分布情况尧疲劳和紧张影响管制能力特征情况。研究表明:多种不良状态普遍存在,且与管制因素相关,尤其在流量较大时更容易出现不良状态;疲劳、紧张状态的产生受工龄、管制类型尧流量水平3 种管制因素及不同管制情景影响显著;疲劳与紧张对管制能力造成了多方面削弱,且同时与这3 种管制因素相关,其中疲劳对管制能力特征的削弱受流量水平影响最突出,而紧张的削弱则受工龄因素影响最明显。

关键词: 空中交通管制员, 不良状态, 疲劳, 紧张, 分布特征, 影响特征

Abstract: Subjective data about bad working states of 458 controllers are collected through questionnaire, surveying bad working states, especially two typical bad states such as fatigue and nervousness in details. Considering different control factors, the distribution of bad states and the effect of fatigue and nervousness on controlling ability are analyzed. Results show that various bad states exist in control process and are related with control factors especially under high air traffic flow. Occurrence of fatigue and nervousness is significantly affected by three control factors such as working age, control type and traffic flow as well as different control scenarios. Control ability are impaired by the two bad states in various aspects and related with the three control factors as well. The impairment of fatigue on control ability is most obviously affected by traffic flow, and the impairment of nervousness on control ability is most obviously affected by working age.

Key words: air traffic controller, bad working state, fatigue, nervousness, distribution, influencing feature

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