• Title/Summary/Keyword: human accident

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A Proposition of Accident Causation Model for the Analysis of Human Error Accidents in Railway Operations (철도 분야의 인적 오류 사고 분석을 위한 사고발생 모형의 제안)

  • Kim, Dong-San;Baek, Dong-Hyun;Yoon, Wan-Chul
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.2
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    • pp.241-248
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    • 2010
  • In accident analysis, it is essential to understand the causal pathways of the accident. Although numerous accident models have been developed to help analysts understand how and why an accident occurs, most of them do not include all elements related to the accident in various fields. Thus analysis of human error accidents in railway operations using these existing models may be possible, but inevitably incomplete. For a more thorough analysis of the accidents in railway operations, a more exhaustive model of accident causation is needed. This paper briefly reviews four recent accident causation models, and proposes a new model that overcomes the limitations of the existing models for the analysis of human error accidents in railway operations. In addition, the usefulness and comprehensiveness of the proposed model is briefly tested by explaining 12 railway accident cases with the model. The proposed accident causation model is expected to improve understanding of how and why an accident/incident occurs, and help prevent analysts from missing any important aspect of human error accidents in railway operations

Study on searching method of human errors accidents for case study of disaster database (재해 데이터베이스의 사례연구를 위한 휴먼에러 재해 검색방법에 관한 연구)

  • 한우섭
    • Journal of the Society of Disaster Information
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    • v.1 no.1
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    • pp.121-136
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    • 2005
  • Most human-error case of accident database is written by various description and expression because accident database is produced by two or more person. And extracted information by searching of database varies in researcher's judgment criteria and the capability. Furthermore, much time and effort are required to examine manually information related to the human error from each accident case. Accordingly, it is difficult to explore objectively the accidents relevant to the human-error from the accident data base which is accumulated enormously. In this study, to solve these problems, it was developed an searchig method which is not influenced by researcher's judgment criteria and capability. For this, human-error keywords were extracted from a Japanese-English dictionary to examine objectively the accident case related to human-error in data base. This searching method by the human-error keywords can be applicable in most accident databases, although a database will be accumulated in future. Also, using the searching technique of this research, knowledge obtained by searching result can be compared with other research's results by the same method. Although the number of accident case increasese, searching results from database have the objectivity because it is not necessary to modify the based searching method or change the human-error keywords. However, as subject of future investigation, it would be necessary that the extension and investigation on human-error keywords improve and the technique to enhance searching accuracy would be modified.

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- The Accident Analyze of a Pointed-End Equipment for Human Error - (Human Error에 의한 첨단장비의 사고 분석 연구)

  • Yoon Yong Gu;Park Peom
    • Journal of the Korea Safety Management & Science
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    • v.6 no.4
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    • pp.39-46
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    • 2004
  • The Study lay Emphasised on to Investigate Human Related Causes of a Pointed End Equipment Accident and the Basic data for Analyzing Human-Error Prevention Program. Peter Son's Model of Human-Error Accident Causation and Cooper's Model of Safety Culture Were Applied to Analyze the Severe Cause of a Pointed End Equipment for Last 5 Years. Through to Analyzing the Cause of Equipment Accident of Human-Error, Expert's Opinion and Experience Theory Method was Reflected. The Analyses Showed What the Immature and Inexperient Error Were Major Causes of a Pointed and Equipment Accident. The Cause of Human-Error was Found with Respect to Human, Tasks, Acknowledge, Organization.

The Accident Analyze study of a Pointed- End Equipment for Human Error (Human Error에 의한 첨단장비의 사고 분석연구)

  • Yoon Yong Gu;Park Peom
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.311-318
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    • 2004
  • The Study lay Emphasised on to Investigate Human Related Causes of a Pointed End Equipment Accident and the Basic data for Analyzing Human-Error Prevention Program. Peter Son's Model of Human-Error Accident Causation and Cooper's Model of Safety Culture Were Applied to Analyze the Severe Cause of a Pointed End Equipment for Last 5 Years. Through to Analyzing the Cause of Equipment Accident of Human-Error, Expert's Opinion and Experience theory Method was Reflected. The Analyses Showed What the Immature and Inexperient Error Were Major Causes of a Pointed and Equipment Accident The Cause of Human-Error was Found with Respect to Human, Tasks, Acknowledge, Organization.

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A Study on Estimation Flow of Information Analysis for Prevention of Human Error to the Operation (화학 공장 내 운전과 설비작업의 인적 오류에 대한 정보 분석 평가흐름의 연구)

  • Yun, Yong-Gu;Gang, Yeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2013.11a
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    • pp.231-241
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    • 2013
  • In recent years, accident induced by human error is increasing in the chemical plant. Human error analysis of the chemical plant was conducted on the basis of past accident. Some company called by A for the basis of a chemical accident. Factor analysis of human errors was separated in plant operation and work. Agency's work of occupational safety & health was classified into four types. It is based on the work before, during work, recovery work, and discontinue work. It was still separated work of human error by analysis and then was derived factor and issue. The human error factor and priority for accident prevention in the chemical plant is presented.

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Development of Accident Analysis System for Human Error Prevention (인적오류 예방을 위한 재해분석시스템의 개발)

  • 정병용;이재득;양승태
    • Journal of the Korea Safety Management & Science
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    • v.5 no.3
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    • pp.1-10
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    • 2003
  • Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. In this study we developed a human error analysis system that can be used easily at the industries. This accident analysis system can be used to develop accident prevention programs to reduce human initiated accidents.

Cognitive Analysis on Accident-related Human Factors during Shunting Movements (철도 입환작업 중의 인적 사고요인에 대한 인지과학적 분석)

  • Lee, Seung-Won;Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.20 no.4 s.72
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    • pp.114-121
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    • 2005
  • Railroad shunting movements connecting and disconnecting train sets are very susceptible to human errors since they depend on human decision-making and action procedure that are variable to situation to situation. Nevertheless, in the investigation of railroad accidents, all the accident causes related with human factors have merely been categorized as 'careless treatment' of the workers without any systematic approach of behavioral sciences or the analysis of human errors. In this research, therefore, 137 accident cases occurred during railroad shunting movements and 435 accident cases occurred during driving were analyzed with a special interest of human errors. According to results, the traditional accident investigation scheme used for last several decades did not seem to be appropriate for catching up true accident causes with respect to human errors. In addition, both signal men and locomotive drivers made many mistakes in judgement/action stage while the former mainly commit judgement tasks where as the latter mainly commit cognition tasks. Ant those tasks such as 'confirmation of signal and route', 'location check-up of connected train sets', and 'route identification for a shift of track' ranked highly for accident susceptibility.

A Case Study of Marine Accident Investigation and Analysis with Focus on Human Error (해양사고조사를 위한 인적 오류 분석사례)

  • Kim, Hong-Tae;Na, Seong;Ha, Wook-Hyun
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.1
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    • pp.137-150
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    • 2011
  • Nationally and internationally reported statistics on marine accidents show that 80% or more of all marine accidents are caused fully or in part by human error. According to the statistics of marine accident causes from Korean Maritime Safety Tribunal(KMST), operating errors are implicated in 78.7% of all marine accidents that occurred from 2002 to 2006. In the case of the collision accidents, about 95% of all collision accidents are caused by operating errors, and those human error related collision accidents are mostly caused by failure of maintaining proper lookout and breach of the regulations for preventing collision. One way of reducing the probability of occurrence of the human error related marine accidents effectively is by investigating and understanding the role of the human elements in accident causation. In this paper, causal factors/root causes classification systems for marine accident investigation were reviewed and some typical human error analysis methods used in shipping industry were described in detail. This paper also proposed a human error analysis method that contains a cognitive process model, a human error analysis technique(Maritime HFACS) and a marine accident causal chains, and then its application to the actual marine accident was provided as a case study in order to demonstrate the framework of the method.

Implications for the Analysis of Human Error in Railway Accidents (철도 인적오류 사고분석에 대한 시사점)

  • Lee, Ji-Sun;Kim, Man-Woong;Kim, Dong-San;Baek, Dong-Hyun
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1360-1364
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    • 2009
  • The basic concept of analysis of human error that induced railway accident is that errors are consequences, not causes. But in most cases, it is likely that direct causes of the accident could be concluded as real causes, which make it difficult to find out root causes. Design, training, staffing, culture and condition are general category applied to investigate human error. In order to examine how those approach could help accident analysis, this paper studied accident investigation reports of UK RAIB(Rail Accident Investigation Branch). Rather than consider specific investigation method, we focus investigation result on how to describe causal factors and how to indicate recommendations to prevent similar accident. The reports show that they try to find out causes more in organizational, environmental and job factors, which implies the necessity to improve investigation process of human error accident in Korea.

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An Empirical Study on method to Reduce of Human Error of High-Speed Train Drivers (고속철도 운전직무의 휴먼에러 감축방안을 위한 실증적 연구)

  • Joo, Chang Hoon;Kim, Tae Gil;Lim, Jeong Oun;Kang, Kyung Sik
    • Journal of the Korea Safety Management & Science
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    • v.16 no.2
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    • pp.1-9
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    • 2014
  • This study tried to propose plan to prevent human error of railroad driver among human error of railroad worker which takes great share in railroad accident. For this, in order to maintain correlation between the accident actually occurred after the opening of high-speed railroad and experience of accident that did not happened, survey on respondent was analyzed by conducting survey on KTX captain who is working in driving work of high-speed railroad, and instruction management team manager who manages KTX captain and captain. This thesis classified the factors by human factor, job factor, environment factor, organization factor, and established human error management model by comparing and analyzing how each factors have spatial interrelations with a railroad accident. The purpose of this study is to contribute to make safe railroad, and reliable railroad by preventing human error accident by minimizing human error of high-speed railroad drivers, and improving driving workers to cope accurately and fast with irregularities through various institutional improvement, improvement of driving facilities, improvement of operating room environment, and improvement of education system.