• Safety and Health at Work
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• 제7권1호
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• pp.38-42
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• 2016

Background: Truck driving is known as one of the occupations with the highest accident rate. This study investigates the characteristics of traffic collisions according to road types (expressway and rural road). Methods: Classifying 267 accidents into expressway and rural road, we analyzed them based on driver characteristics (age, working experience, size of employment), time characteristics (day of accident, time, weather), and accident characteristics (accident causes, accident locations, accident types, driving conditions). Results: When we compared the accidents by road conditions, no differences were found between the driver characteristics. However, from the accident characteristics, the injured person distributions were different by the road conditions. In particular, driving while drowsy is shown to be highly related with the accident characteristics. Conclusion: This study can be used as a guideline and a base line to develop a plan of action to prevent traffic accidents. It can also help to prepare formal regulations about a truck driver's vehicle maintenance and driving attitude for a precaution on road accidents.

• 대한안전경영과학회지
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• 제25권2호
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• pp.9-15
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• 2023

The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

• 한국학교ㆍ지역보건교육학회지
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• 제13권1호
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• pp.65-75
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• 2012

Objectives: This study aims at grasping the socio-demographic variable, safety education experience, personality type and accident experience and analyzing if the personality type influences on the accident experience. Methods: For 330 third-year students at one middle school located at Gyeonggi-Do, questionnaire survey was performed on 16th, October, 2010. Excepting data of 19 students poor in contents, 311 students' data were analyzed. Results: The results of analysis are like followings. 1. As for relation between the socio-demographic variable and accident experience, it showed statistical significance in sex and how to go to school. And there was no statistical significance in parents' job, educational level of parents, residential type, school record and allowance. 2. As for relation between safety education experience and accident experience, safety education doing school than family lowered accident incidence outstandingly. When safety education frequency increased one time, possibility to experience accident decreased to 30%. 3. As for relation between 4 personality types of MBTI and accident experience, Thinking(T) experienced accident more than Feeling(F). Moreover, it showed difference in accident type and injuried degree. This results were statistically significant. As the result of analyzing the injuried degree by sex only in Thinking(T) and Feeling(F), female students had statistically significant difference. Conclusions: Health care providers should develop school safety programs by characteristics of personality.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 춘계학술대회 논문집
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• pp.151-156
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• 2005

The objective of this study is to devise an accident scenario analysis method adept at creating accident scenarios at the Preliminary Hazard Analysis(PHA) step of a hazard analysis for railway system. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management and was used at the systematic accident scenario analysis(SASA) for the design of safer products. In this study, the QFD provides a formal and systematic schema to devise accident scenarios while maintaining objective. The accident scenario analysis method first identifies the hazard factors that cause railway accidents and explains the situation characteristics surrounding the accident. This method includes a feasibility test, a clustering process and a pattering process for a clearer understanding of the accident situation. Since this method enables an accident scenario analysis method to be performed systematically as well as objectively, this method is useful in building better accident prevention strategies. Therefore, this study can serve to reduce railway accident and be an effective tool for a hazard analysis.

• 대한안전경영과학회지
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• 제18권3호
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• pp.17-24
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• 2016

The regulation for industrial accident rate level assessment of construction companies was introduced to the construction industry in the Republic of Korea since 1993 and has brought positive outcome on industrial accidents reduction at construction work sites. There were considerable decrease of industrial accident ratio and enforcing of contrators' safety organizations from the beginning of the regulation for industrial accident rate level assessment. In spite of these positive outcomes, there were some negative effects such as contractors' shrinking accident reports to keep good accident ratios since these figures had a great impact on pre-qualification stage of bidding when general contractors were competing for new construction projects. In addition, Comprehensive evaluation bid system, which replaces the lowest price bid system is applied to government-ordered construction projects since 2016. Comprehensive evaluation bid system includes construction company's accident rate as one of the evaluation items and carries out with the industrial accident rate level assessment of construction companies at the same time. The regulations of two systems have been called for improvement to unify these different procedures and standards which have led business stakeholders to confusion for several years. This study aims to devote on lessening shrinking accident reports and to reduce the waste of business stakeholders through changing the regulation for industrial accident rate level assessment.

• 한방재활의학과학회지
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• 제18권2호
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• pp.119-130
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• 2008

Objectives : The purpose of this study was to compare mean values of Factor AA on Skin Resistance Variability(SRV) of traffic accident patient group with those of non-traffic accident patient group(control group) by using 7-Zone-Diagnostic System. Methods : Two groups were selected from those who took the CP-6000A test in College of Oriental Medical Hospital of Sang-Ji University from March 2007 to November 2007. Two groups were control group(n=61) and traffic accident patient group(n=62). Mean values of Factor AA on Skin Resistance Variability(SRV) of two groups were compared. Results and Conclusions : The results suggest that traffic accident patient group and non-traffic accident patient group had problems in circulation but non-traffic accident patient group had more problems than traffic accident patient group, and that after oriental medical therapy, non-traffic accident patient group was more improved than traffic accident patient group. So, further studies will be needed.

• 대한건축학회논문집:구조계
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• 제34권3호
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• pp.69-76
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• 2018

General workers who assist various technicians in different fields with their work across the whole construction sites without having a particular skill are at risk of the highest accident rate and their accident form becomes varied. Accordingly, this study was conducted to identify the relationship between form of safety accident and influence factor in general workers and analyze accident severity by influence factor. The followings are the results from this study. First, as a result of analyzing major form of accident and influence factors in general workers with network analysis methodology, nine forms of accident and seventeen influence factors were drawn. Second, it was found that in accident severity among general workers, collapsing, among various forms of accident, appeared the highest, followed by fall, electric shock, fire, hit by an object, bumped against, trip, scission getting cut chopped in order. Third, main points of special, concentrated, and permanent management were presented in order to reduce the safety accident in general workers effectively.

• 한국안전학회지
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• 제36권1호
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• pp.56-63
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• 2021

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.

• 한국안전학회지
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• 제36권3호
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• pp.50-59
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• 2021

The main purpose of accident analysis is to identify the causal factors and the mechanisms of those factors leading to the accident. However, current accident analysis techniques focus only on finding the factors related to the accident without providing more insightful results, such as structures or mechanisms. For this reason, preventive actions for safety management are concentrated on the elimination of causal factors rather than blocking the connection or chain of accident processes. This greatly reduces the effectiveness of safety management in practice. In the present study, a technique to model the correlational structure of accident risk factors is proposed by using the co-occurrence keyword network analysis technique. To investigate the effectiveness of the proposed technique, a case study involving a portable ladder fall accident is conducted. The results indicate that the proposed technique can construct the correlational structure model of the risk factors of a portable ladder fall accident. This proves the effectiveness of the proposed technique in modeling the correlational structure of accident risk factors.

• 대한교통학회지
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• 제27권3호
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• pp.91-102
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• 2009

도로설계 안전성을 평가하기 위해서는 도로의 설계 요소변화가 사고에 미치는 영향을 예측할 수 있어야 한다. 이를 위해 본 연구에서는 통계적 방법, 사고이력, 전문가의 판단, 그리고 기존문헌고찰 등 다양한 방법을 통하여, 설계요소의 특징과 사고율 및 사고빈도의 관계를 반영할 수 있는 AMF(Accident Modification Factor)를 개발하고자 하였다. 본 연구에서는 AMF를 좌회전전용차로, 우회전전용차로, 시거, 교차각 등의 항목을 대상으로 개발하였다. 개발된 AMF를 적용한 경우의 사고 예측값, 사고예측모형을 통한 예측값을 실제 사고데이터와 비교분석함으로써 적정성을 검토하였다. 분석결과, AMF를 적용한 예측값이 사고예측모형을 통한 예측 값보다 예측력이 우수함을 확인할 수 있었다. 이러한 결과는 사고를 예측함으로써 도로설계 안전성을 평가하는 알고리즘에 있어 AMF가 도로의 설계요소의 특성을 보다 효과적으로 반영하며, 지방부 교차로에서 각각의 해당요소가 사고에 미치는 영향을 판단할 수 있는 지표가 될 수 있음을 의미한다.