• 한국안전학회지
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• 제32권4호
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• pp.73-78
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• 2017

In this study, the risk level of architectural works was calculated by applying work period and number of input workers based on accidents records from 2012 to 2014 and the architectural works were divided into four groups(High-High, High-Low, Low-High, Low-Low) according to risk levels of fatal accidents and loss time accidents. And then questionnaire on the job stress level of workers was performed for 670 workers working in the architectural work using Korean Occupational Stress Questionnaire Form developed by KOSHA. And then the relationship between the risk level and job stress level of four groups was analyzed. Results showed that 1) risk levels of fatal and loss time accidents applied by work period and input workers were analyzed to be different with those of previous research based on the number of fatal and loss time accidents; 2) job stress level of workers has been analyzed to have a significant relationship with the risk level of fatal and loss time accident; 3) specially, the average of job stress level of 'HH(High-High)' group was higher than those of other groups; 4) among the subfactors of job stress, interpersonal conflict, job insecurity, organizational system and lack of reward were analyzed to be key factors to affect the risk level.

• 한국안전학회지
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• 제22권2호
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• pp.59-66
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• 2007

As the need of handling heavy materials increases, various cranes are used in industries. However, the effectiveness of crane also entails industrial accidents such as falling, constriction etc. In fact, the number of fatal accidents caused by crane is still high in Korea. To find out the causes of the accidents in terms of human error, we developed a man-machine system model that consists of two axes; human information processing and crane life cycle. In the human information processing dimension, we simplified it as five functions; sensing and perception, decision making and memory, response etc. In the crane life cycle dimension, we divided it into nine phases; design, production, operation etc. For the 152 fatal accident records during 1999-2006 years, we classified them into 45 cells made by two axes. Then we identified the preceding causes of the classified crane accident based on performance shaping factors. As the results of statistical analysis, the overall trend of crane fatal accidents was described. For the cause analysis, wrong decision making in work plan phase shows the highest frequency. Next, the poor information input in crane operation followed in accident frequency. In ergonomics view, the problems of interface design in displays and controls made 11.8% of fatal accidents. Following the analysis, several ergonomic design guidelines to prevent crane accidents were suggested.

• 대한교통학회지
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• 제32권2호
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• pp.119-129
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• 2014

이 연구는 고속도로 구간과속단속시스템(SSES) 운영에 따른 교통사고 감소효과를 분석하는데 그 목적이 있다. 이를 위해 SSES가 설치된 고속도로 9개 구간 전체를 대상으로 5년간(사전 2년과 사후 3년간) 교통사고 자료를 수집하고, 비교그룹방법을 활용하여 연차별 사전 사후 분석을 시행한다. 사고감소의 효과척도로는 전체 교통사고(TAs), 중상이상 교통사고(FSAs), 전체 사상자수(TIs) 및 중상이상 사상자수(FSIs)를 활용한다. 주요 연구결과는 다음과 같다. 첫째, 교통사고 발생건수와 사상자수는 각각 32.0%, 17.1% 감소하는 것으로 분석된다. 둘째, 중상이상 심각사고 발생건수 및 사상자수는 각각 41.7%, 32.2% 감소한 것으로 분석되어, 심각사고 감소에서 높은 감소효과가 나타난다. 셋째, SSES 도입에 따른 교통사고 감소효과는 연차별로 점차 증가하고 있으며, 운영 후 3년차에서 사고감소효과가 크게 나타난다.

• 한국안전학회지
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• 제36권5호
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• pp.52-60
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• 2021

As the prevention of fatal accidents is considered an essential part of social responsibilities, both government and individual have devoted efforts to mitigate the unsafe conditions and behaviors that facilitate accidents. Several studies have analyzed the factors that cause fatal accidents and compared them to those of non-fatal accidents. However, studies on mathematical and systematic analysis techniques for identifying the features of fatal accidents are rare. Recently, various industrial fields have employed machine learning algorithms. This study aimed to apply machine learning algorithms for the classification of fatal and non-fatal accidents based on the features of each accident. These features were obtained by text mining literature on accidents. The classification was performed using four machine learning algorithms, which are widely used in industrial fields, including logistic regression, decision tree, neural network, and support vector machine algorithms. The results revealed that the machine learning algorithms exhibited a high accuracy for the classification of accidents into the two categories. In addition, the importance of comparing similar cases between fatal and non-fatal accidents was discussed. This study presented a method for classifying accidents using machine learning algorithms based on the reports on previous studies on accidents.

• 한국안전학회지
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• 제12권4호
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• pp.122-133
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• 1997

Various types of fatal accidents are increasing in Korean construction work site. Simply repeated and conventional accidents as well as new types of potential hazards which are caused by large-scaled work, complexity and negligence of temporary structures in construction are increasing, so that analysis of fundamental causes are necessary to control the construction accidents. In this study 739 fatal accidents are informally classified by the types of work and work process. The classified items which are based on ANSI Z 16.2, are modified adapted to the construction fields and are given code numbers and are analyzed by the data-base program. The exact causes of various types of accidents are analyzed by the accident types, agencies and hazardous conditions and through the Cross-tabulation method in order to find out the cause between relevant accidents.

• International Journal of Safety
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• 제3권1호
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• pp.47-52
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• 2004

Current OSH system was analyzed in this paper to explain why high fatal incidents and disasters are continuously repeated for recent years in Korea. It was found that we have Dichotomous Perceptional Misconception of prevention before accident and compensation after accident and there is a significant lack of proper feed­back reward system for OSH performance. It was assumed that no reduction of accident rate and fatality rate have not been achieved recently despite of a great effort and increased resource allocations. Some statistics for proving weak punishment were analyzed. In the current system, the will of administrative agency would have been very limited particularly in the legal aspects. The Industrial Safety and Health Act is not suitable to after-injury punishment for employer and/or corporate since it is based on a framework for enforcement of prevention. Based on these analyses, it was concluded that there was a need to consider a special law for Corporate Accountability for Fatal Accidents. Because it is necessary to consider seriously for introduction of a new legal system for after injury punishment to repair the current system where it was found lack of proper feedback system. Also, there was no proper sanction measures for corporate with the current OSH legal system, and the most urgent problem in OSH area is the high fatality rate. it is necessary to consider seriously for introduction of a new legal system for after injury punishment. Also, there is no proper sanction measures for corporate with the current OSH legal system, and the most urgent problem in OSH area is the high fatality rate.

• 대한인간공학회지
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• 제23권4호
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• pp.23-34
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• 2004

The importance of the industrial safety has been growing gradually as well as the prevention activities on industrial accidents. Industrial accident rates have been decreasing by the prevention activities. However, the fatal industrial accidents such as the death tend to increase and risk per accident has increased. The previous studies on the industrial accidents focus on the entire accidents. However, these studies are lacking for the fatal industrial accidents such as the death. The purpose of this paper is to analyze the characteristics and trend of death which occurred by industrial accident, based on the real data of deaths collected last 5 years from 1999 to 2003 in korea. This paper suggests a analysis method using MDS(MultiDimensional Scaling) that considers accidents variables and properties simultaneously. We evaluate MDPREF (Multidimensional Analysis of Preference Data), one of the MDS analysis, to know the relations between the type of industry and region as well as the type of industry and occupation. This paper finds the type of industry which has high possibilities of death by regional groups. In addition, we find the type of occupation which has high possibilities of death by the type of industry. These findings indicate that industrial classification should be differently controled according to type of occupation and region.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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• pp.192-193
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• 2015

The number of accidents is raising every year and severity is also increasing. A lot of studies are interested in the leading indicator such as safety culture or safety audit to reduce accidents. In particular, the studies on safety awareness are actively conducted. However, these studies showed that there was consciousness of scapegoatism which to pass responsibility of accident causes to others regardless of safety awareness. It means that there are probability about overestimating and making light of unsafe condition and act which have to manage and control. Eventually, the direct causes which lead to the fatal accident may be consistently arisen. Nevertheless, researches about consciousness of scapegoatism are shortage. Therefore, this study proposed the means to investigate the relationship between consciousness of scapegoatism and accidents through report from KOSHA and conducts the survey with suggested means. This paper will contribute to prevent accidents by identifying relationship between consciousness of scapegoatism and accidents.

• 한국안전학회지
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• 제34권3호
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• pp.83-88
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• 2019

The 7,993 cases of Survey Report of Fatal Industrial Accidents conducted jointly by the MEOL and the KOSHA for the recent seven years(2007-2013) were categorized according to personal and occupational characteristics, industry types, business sizes, job types, activities at the time accident, types of accidents, material agents(assailing materials), unsafe conditions, and unsafe acts. And it is found that among the 72.2 percent of fatal occupational accidents in the construction and manufacturing industries are caused by falling, sticking, bumping and being caught under objects & overturning. For this study, through the empirical analysis on causes of fatal industrial accidents, was used to identity high risk groups based on total data of 7,993 victims of occupational accidents. An annual fatal occupational injury (FOI) rate per 10,000 workers was about 0.47‱. The middle-aged group and the elderly group showed the highest FOI rates per 10,000 workers (0.73‱, 0.80‱), and the daily workers showed the highest FOI rate (1.46‱), and the craft and related trades workers showed the highest FOI rate (2.17‱). In case of industry type the mining industry (7.26‱) showed the highest FOI rate, followed by the sewerage, waste management, materials recovery and remediation activity industry (3.91‱) and the construction industry (2.71‱). The primary high risk target group that requires a strategy designed to reduce fatal occupation injuries caused by falling and bumping & contact(collision) is the construction industry, and the secondary high risk target group in the construction industry is classified as the equipment, machine operating and assembling workers in the construction industry, those aged 50 years old and above need the prevention measures against bumping & contact(collision) and being caught under an object & falling(objects), while those aged less than 50 years old need prevention measures against falling(persons).

• 한국재난정보학회:학술대회논문집
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• 한국재난정보학회 2022년 정기학술대회 논문집
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• pp.169-170
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• 2022

As the size of construction projects has become larger in recent years, the nature of the disaster safety factors along with the progress of construction is also becoming more complex and diversified. Accordingly, the introduction of computerized construction, new technologies, and new construction methods has resulted in a variety of risk factors in the process and operations, and many new safety construction methods are being tried. Since the construction industry has variable working environments and constantly changes working methods and components depending on the rate of progress, workers at construction sites are always exposed to risk depending on the specific circumstances of the construction industry. This study attempts to collect and analyze major accident cases generated by major accident construction projects as a result of progress in construction work, and to derive the major causes and causes for each safety management activity that affect safety accidents.