• 제목/요약/키워드: Accident Factors Analysis

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

  • 이승원;임현교
    • 한국안전학회지
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    • 제20권4호
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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.

SD법을 이용한 해양사고 예방의 정책대안 분석 (A Study on the Alternative Plan for Prevention of Marine Accident using System Dynamic)

  • 금종수;장운재
    • 해양환경안전학회지
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    • 제10권2호
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    • pp.17-22
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    • 2004
  • 해양사고는 맡은 원인이 서로 복잡하게 상호작용을 하여 발생하고 있다. 이러한 해양사고의 분석은 선박의 안전 운항상의 측면에서 매우 중요하다고 할 수 있다. 따라서 본 연구의 목적은 시스템다이내믹스법을 이용하여 해양사고 원인과 개선책에 대한 모델을 구축하고, 요소의 개선에 대한 효과를 분석하고자 한다. 본 연구의 수행을 위해 해양사고 원인과 개선책의 요소를 브레인스토밍법에 의해 추출하고, 인과지도상의 정량적, 정성적, 피드백루프로 변환하였다. 그리고 표준모델과 4가지 정책모델에 대해 23년간(1997-2020) 시뮬레이션을 수행하였다.

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AHP 분석에 의한 무인타워크레인 사고 요인의 중요도 순위 (Importance Ranking of Accident Factors of Remote Control Tower Crane by AHP)

  • 김주용;정영철;김광희
    • 한국건축시공학회지
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    • 제20권6호
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    • pp.497-504
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    • 2020
  • 국내 건설 현장 타워크레인의 사용량 증가에 따른 재해 감소를 위한 연구가 진행되고 있지만 무인타워크레인에 대한 연구는 미비한 실정이다. 따라서 본 연구에서는 타워크레인 유형별 사고 요인의 중요도 순위를 AHP 분석을 통해 도출하여 제시하고자 한다. 분석 결과 무인타워크레인에서 인양 작업이 가장 높은 중요도를 보였다. 본 연구 결과를 바탕으로 중요도가 높은 요인을 우선적으로 관리하여 타워크레인 사고 저감을 위한 조치가 필요할 것으로 사료된다.

An Empirical Analysis of the Industrial Accident Factors Affecting Manufacturing Performance in Korea

  • Park, Hai Chun;Kim, Jong Rae
    • International Journal of Safety
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    • 제2권1호
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    • pp.45-49
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    • 2003
  • In this paper, we investigated the relationship between the variables of the industrial accident factors and the manufacturing performances such as production quantity, quality, cost, and delivery. For this investigation, we collected the real data from 30 small/medium-sized manufacturing industries by performing a questionnaire survey and a on-site inter-view with the workers. Thirty industries were made up of 10 from each of the following three industries: metal processing, machinery manufacturing, and chemical products manufacturing. The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the tentative conclusion that only two variables such as work skill and load affected all four manufacturing performances and the rest of them two or three performances.

현장 소방활동 안전사고 원인에 대한 4M 분석 (4M Analysis of the factors affecting firefighters' on-site safety)

  • 김태범;변혜정;강태선
    • 한국산업보건학회지
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    • 제27권3호
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    • pp.231-237
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    • 2017
  • Objectives: This study was conducted to determine firefighters' work-related accident rate and investigate the factors affecting their on-site safety. Methods: We developed a web-based self-reported questionnaire designed to inquire into firefighters' work-related accident experience and the factors (4M; Man, Machine, Media, Management) affecting firefighters' on-site safety. We distributed questionnaires to all members of firefighting organizations in South Korea by e-mail and 9,149 were returned, resulting in a response rate of 23.1%. Results: Fifteen point seven percent of the respondents reported work-related injuries within the past one year, and 35.1% answered that current accident investigation reports are not helpful for preventing the same accident from recurring. Among the 4M factors, the one most affecting firefighters' on-site safety in the order of priority is the Man factor, followed by Machine, Media, and Management. However, the results from detailed sub-categorical factors showed some differences. 'Lack of human resources', one of the Management factors, was the most influential (70.3%), followed by 'worn-out equipment' under the Machine factor (67.2%). The viewpoint of elements of the Man factor including 'forgetting instructions' and 'fatigue and illness' were significantly different according to firefighters' rank. The higher the firefighter's rank, the more they answered 'forgetting instructions,' while the opposite was the case for 'fatigue and disease'. Conclusions: The present firefighters' accident investigation report needs to be improved, and the 4M method could prove very useful. In addition, it is necessary to set up a proper firefighters' accident investigation and prevention system.

Finding Hazard Factors by New Risks on Maritime Safety in Korea

  • Park, Deuk-Jin;Park, Seong-Bug;Yang, Hyeong-Sun;Yim, Jeong-Bin
    • 해양환경안전학회지
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    • 제22권3호
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    • pp.278-285
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    • 2016
  • The key features of maritime accidents are the change of their attributes by new risks from time to time. To prevent maritime accidents in Korea, the impacts by new risks on domestic safety environments should be identified or predicted. The purpose of this paper is to find the hazard factors by new risks on maritime safety in Korea. The meaning of new risks is the elements of accident hazard which is compiled from new or rare or unprecedented events in the worldwide maritime transportations. The problems of new risks are the lacks of optimum countermeasures to mitigate accident risks. Using the questionnaires with 152 event scenarios classified by 20 accident causes, the hazard identification and risk analysis of new risks was performed based on the Formal Safety Assessment (FSA) by IMO. A total of 22 Influence Diagrams, which is to depict the transit flows between accident causes to consequences, is used in the construction of 152 event scenarios. A total of 20 accidents causes is the same contents as the causation factors represented in Statistical Year Book for Maritime Accidents of Korean Maritime Safety Tribunals. After defining the evaluation equations to the response results of questionnaires by 46 experts, the work for risk analysis is carried out. As results from the analysis of 152 scenarios, it is known that the root cause to affect on maritime safety in Korea is the pressure of business competition and it led to the lacks of well experienced crews, the overload of vessel operations and crew's fatigue. In addition, as results from the analysis of 20 accident causes, the three accident causes are to be candidate as main issues in Korea such as the inadequate preparedness of departure, the neglecting of watch keeping in bridge and the inadequate management of ship operations. All of the results are thought to be as basic hazard factors to safety impediments. It is thus found that the optimum Risk Control Options to remove the hazard factors and to mitigate consequences required are the following two factors: business competition and crewing problems.

인적특성을 고려한 고령 운전자 교통사고 영향요인 분석 (Analysis of Old Driver's Accident Influencing Factors Considering Human Factors)

  • 김태호;김은경;노정현
    • 한국안전학회지
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    • 제24권1호
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    • pp.69-77
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    • 2009
  • This paper reports the aging driver traffic accident severity modeling results. For the modeling, Poisson regression approach is applied using the data set obtained from the Korea Transportation Safety Authority's simulator-based driver aptitude test results. The test items include the estimations of moving objects' speed and stopping distance, drivers' multi-task capability, and kinetic depth perception and so on. The resulting model with the response variable of equivalent property damage only(EPDO) indicated that EPDO is significantly influenced by moving objects' speed estimation and drivers' multi-task capabilities. More interestingly, a comparison with the younger driver model revealed that the degradation of such capabilities may result in severer crashes for older drivers as suggested by the higher estimated parameters for the older driver model.

재해분석과 실태조사를 통한 스마트 팩토리 공정의 위험성 감소 방안 (Plan for Risk Reduction of Smart Factory Process through Accident Analysis and Status Survey)

  • 변정환
    • 한국안전학회지
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    • 제37권5호
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    • pp.22-32
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    • 2022
  • The domestic smart factory is being built and spread rapidly, mainly by mid-sized companies and large enterprises according to the government's active introduction and support policy. But these factories only promote production system and efficiency, so harmfulness and risk factors are not considered. Therefore, to derive harmful risk factors in terms of industrial safety for 12,983 government-supported smart factory workplaces from 2014 to 2019, industrial accident status analysis compared workplaces with automation facilities and government-supported workplaces with automation facilities. Also, to reduce risks associated with domestic smart factory processes, twenty government-supported workplaces with automation facilities underwent analysis, evaluating risks through a status survey using the process evaluation table. In addition, the status survey considered region, size, industry, construction level, and accident rate; the difference in risk according to the structure of the process was confirmed. Based on the smart factory process evaluation results, statistical analysis confirmed that serial, parallel, and hybrid structures pose different risk levels and that the risks of mixed structures are greater. Finally, safety control system application was presented for risk assessment and reduction in the smart factory process, reflecting the results of disaster analysis and actual condition investigation.

데이터 마이닝을 이용한 차량 사고자 사망확률 모형 (Development of Car Accidents Person Fatality Model using Data Mining)

  • 김천식;홍유식;정명희
    • 대한전자공학회논문지TC
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    • 제43권9호
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    • pp.25-31
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    • 2006
  • 본 논문에서는 데이터 마이닝을 이용한 차량 사고 사망확률 모형을 제안하였다. 본 논문의 목표는 제안된 모델을 이용하여 기술적, 환경적 개선을 통해 교통사고를 줄이는 것으로 교통사고 데이터를 수집하여 데이터 마이닝 알고리즘을 적용하여 사망 원인에 대한 분석을 통해 사망확률 모형을 개발하였다. 이를 위해서 훈련 데이터와 테스트 데이터를 이용하여 최적의 모형을 개발하였다. 이모형을 통해 교통 사망사고에 대한 사망확률을 구할 수 있고 사망 사고의 원인이 되는 중요한 요인을 알아낼 수 있다. 교통사고의 원인이 되는 요인을 기술 개발과 교통 환경 개선에 활용한다면 향후 교통사고를 줄이는데 기여할 것이다.

가산자료 모형을 이용한 국내 원형교차로 유형별 교통사고 분석 (Analysis of Traffic Accident by Circular Intersection Type in Korea Using Count Data Model)

  • 김태양;이민영;박병호
    • 한국안전학회지
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    • 제32권5호
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    • pp.129-134
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    • 2017
  • This study aims to develop the traffic accident models by circular intersection type using count data model. The number of accident, the number of fatal and injured persons(FSI), and EPDO are calculated from the traffic accident data of TAAS. The circular intersection accident models are developed through Poisson and negative binomial regression analysis. The main results of this study are as follows. First, the null hypotheses that there are differences in the number of traffic accidents, FSI and EPDO by type of circular intersections are rejected. Second, the scale of intersection(median, large), number of approach road, mean width and length of exit road, area of the circulating roadway and central island are selected as factors influencing the number of traffic accidents, FSI and EPDO in rotary. Third, the scale of intersection(median), guide signs(limited speed, direction, roundabout), number of approach road, entry angle, area of the intersection and central island are adopted as factors influencing the number of traffic accidents, FSI and EPDO in roundabout. Finally, transferring from rotary to roundabout could be expected to make the accident decrease.