Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)

The Korea Society for Simulation (한국시뮬레이션학회)
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An Exploratory Structural Analysis of the Accident Causing Factors in Railway Traffic Controllers

철도관제사의 사고유발 요인에 관한 탐색적 구조분석

  • Received : 2017.12.01
  • Accepted : 2018.03.21
  • Published : 2018.03.31
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Abstract

This study intended to exploratively testify human error causing factors for railway traffic controller, using AMOS structural equation model. Through literature survey, fatigue and stress as exogenous variable, errors in information process such as cognitive, memory, storage, and execution error as endogenous variable, and accident and incident(near-miss) as dependent variable were set up. Results based on AMOS using 201 railway traffic controllers' questionnaire showed that a clear causality loop like as 'stress ${\rightarrow}$ memory error ${\rightarrow}$ storage error ${\rightarrow}$ incident(near-miss) ${\rightarrow}$ accident' is formed. This result suggests that for the purpose of mitigation of traffic controller's accident, it is so necessary to reduce memory and execution error in the information processing process based on the effective management of stress, as the precedent of them.

본 연구는 철도관제사의 인적오류를 유발하는 요인이 무엇인지를 AMOS 구조방정식 모형을 활용하여 탐색적으로 검증하려는 목적에서 시도되었다. 관제사와 관련된 문헌연구를 토대로 피로와 스트레스를 외생변인, 정보처리과정에서의 오류(인지, 기억, 저장 및 실행오류)를 내생변인, 그리고 종속변인으로 책임사고와 아차사고를 설정하였다. 여러 기관의 현직관제사 201명의 설문을 분석한 결과, '스트레스 ${\rightarrow}$ 기억오류 ${\rightarrow}$ 저장오류 ${\rightarrow}$ 아차사고 ${\rightarrow}$ 책임사고'의 인과관계 고리가 성립한다는 것을 발견하였다. 이 같은 연구결과는 인적오류와 관련하여 관제사의 사고 저감을 위해서는 그 선행요인인 스트레스를 효과적으로 관리하여 정보처리과정에서의 기억 및 실행오류를 저감시킬 필요가 있다는 것을 시사한다.

Keywords

References

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