Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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A Study on the Prevention Measures of Human Error with Railway Drivers

열차 운전 종사자를 대상으로 한 인적오류의 개선 방안 연구

  • Kim, Dong Won (Department of Rolling Stock System, Seoul National University of Science & Technology) ;
  • Song, Bo Young (Ministry of Land Infrastructure and Transport) ;
  • Lee, Hi Sung (Department of Rolling Stock System, Seoul National University of Science & Technology)
  • 김동원 (서울과학기술대학교 철도차량시스템공학과) ;
  • 송보영 (국토교통부 철도운행안전과) ;
  • 이희성 (서울과학기술대학교 철도차량시스템공학과)
  • Received : 2018.10.08
  • Accepted : 2019.02.13
  • Published : 2019.02.28
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Abstract

In this study, the causes of human error were identified through the survey of the drivers of the three organizations: Seoul Metro, Seoul Metropolitan Rapid Transit Corporation, and Korail. It was started with the aim of finding and eliciting causes in various directions including human factors, job factors, and environmental factors. The Cronbach alpha value was 0.95 for the reliability significance of the stress-induced factors in the operational area. The significance probability for organisational factors was shown to be 0.82, and the significance of the sub-accident experience and the driving skill factors in operation was 0.81 In addition, the analysis results showed that stress-induced in the field of driving is higher than the human factors in the reliability analysis. The results of the analysis confirmed that the reliability of the organizational and operational stress-induced factors was higher than other causes. In order to reduce urban railroad accidents, this paper suggests a method for operating safe urban railroad through the minimization human errors.

Keywords

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Fig. 1. Procedure for conducting research.

Table 1. Fault conditions by cause3)

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Table 2. Reliability analysis of human factors

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Table 3. Reliability analysis of factors

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Table 4. ANOVA Table for average comparison of human factors

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Table 5. Work year comparison

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Table 6. ANOVA Table for average comparison of job factors

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Table 7. Average by membership

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Table 8. ANOVA Table for average comparison of skill in near miss

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Table 9. Average by number of disciplinary accidents

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