• Journal of Preventive Medicine and Public Health
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• 제14권1호
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• pp.89-96
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• 1981

Of 2,740 industries in Jeonbug area which are covered by industrial insurance policy, 462 facilities which the accidents related to industry occured during the year of 1979 were studied. and the results are summarized as follows: 1. The accidents related to industry occured in 462 industries of the total 2,740 industrial facilities in Jeonbug area as of 1979. 2. The incidence rate of accident per 1,000 workers was 34.3 (49.2 in male workers and 12.8 in female workers), the frequency rate of the total industries in jeonbug area was 13.36, and severity rate was 1.3. 3. The frequency rates and severity rates by type of industry in study area were quite different to compare with those of national rates. 4. The incidence rate of construction industry was 223.6 per 1,000 workers, and that of transportation-communication industries were 78.6. 5. The proportion of industrial accidents of $20{\sim}24$ age group was 22.1 per cent of the total accidents, and the proportions decreased according to age increase. 6. The incidence rate in the industry having less than 49 workers was 20.6 per 1,000 workers, that of industry with $50{\sim]99$ workers was 26.7, that of industry with $100{\sim}199$ was 51.9, that of industry with $200{\sim}499$ was 80.2 and that of with more than 500 worker was 40.7. 7. The accidents which occured in the workers with experience of less than one year was 69.4 per cent of the total accidents, otherwise, the longer the workers have worked the less accident they have. 8. The most accidents occured in tile shift between 10 to 12 o'clock, and 16 to 18 hour 9. The primary causes of the industrial accidents were found to be collisions, machinery falling objects and falls. 10. The site of injury by type of industry were quite different, and the major site of injury was finger. 11. The laceration and open injuries of the accidents related to industry were 37.2 per cent of the total cases, and fractures or dislocations were 23.5 per cent, and contusions were 6.5 per cent. 12. Death rate of industrial accident was 5.0 per 10,000 workers, and those of industry were 47.6 in transportation, 42.8 in construction industry, 24.4 in mine industry, and 2.0 in manufacturing industry.

• 대한교통학회지
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• 제24권7호
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• pp.41-51
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• 2006

본 논문에서는 고속도로 트럼펫 IC형식의 연결로 선형조건 및 교통조건에 따른 교통사고특성에 관한 기초연구를 수행하였다. 교통사고 특성분석은 트럼펫 IC형식의 유입 및 유출 연결로 형태의 도로선형조건 및 교통조건에 따른 다양한 거시적 미시적 교통사고분석을 수행함으로써 연결로의 형태(직결, 준직결, 루프 연결로) 별로 도로선형조건(곡선반경, 곡률차, 본선 구배)과 교통조건(교통량)이 교통사고에 미치는 영향을 규명하였다. 거시적으로 사고율은 트럼펫 IC A형과 B형이 거의 유사하게 나타났으나, 사고건수는 B형이 A형보다 약 1.5배 높게 나타났다. 그리고 유출연결로의 사고율은 유입연결로보다 약3배 이상 높게 나타났다. 거시적으로 유출연결로의 사고율은 교통량, 곡률차, 첫 번째 곡선반경의 증가에 따라 지수형으로 감소하였다. 그러나 사고율과 두 번째 곡선반경의 관계는 ${\cap}$형의 관계를 보였으며, 본선구배에 따른 사고율은 본선구내 $-0.15{\sim}-0.5%$에서 높게 나타났다. 고속도로 트럼펫 IC형식 연결로의 교통사고 특성분석 결과는 비용-효율적인 트럼펫 IC 연결로의 설계를 위한 평가의 수단으로 이용될 수 있을 뿐만 아니라, 사고취약 고속도로 연결로에 대한 개선 대안의 수립에도 기여할 것으로 기대된다.

• 한국도로학회논문집
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• 제20권2호
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• pp.75-85
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• 2018

PURPOSES : This study aimed to analyze traffic accidents at circular intersections, and discuss accident reduction strategies based on land use and vehicle type. METHODS : Traffic accident data from 2010 to 2014 were collected from the "traffic accident analysis system" (TAAS) data set of the Road Traffic Authority. To develop the accident rate model, a multiple linear regression model was used. Explanatory variables such as geometry and traffic volume were used to develop the models. RESULTS : The main results of the study are as follows. First, it was found that the null hypotheses that land use and vehicle type do not affect the accident rate should be rejected. Second, 16 accident rate models, which are statistically significant (with high $R^2$ values), were developed. Finally, the area of the central island, number of speed humps, entry lane width, circulatory roadway width, bus stops, and pedestrian crossings were analyzed to determine their effect on accidents according to the type of land use and vehicle. CONCLUSIONS : Through the developed accident rate models, it was revealed that the accident factors at circular intersections changed depending on land use and vehicle type. Thus, selecting the appropriate location of bus stops for trucks, widening entry lanes for cars, and installing splitter islands and optimal lighting for motorcycles were determined to be important for reducing the accident rate. Additionally, the evaluation showed that commercial and mixed land use had a weaker effect on accidents than residential land use.

• 대한토목학회논문집
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• 제37권5호
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• pp.827-835
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• 2017

고령화가 급격한 속도로 진행되며 발생하는 문제 중 고령 운전자 사고는 해결되어야 하는 중요한 사회문제이며 사고를 감소하고자 하는 노력은 앞으로 맞이할 초고령 사회를 대비하기 위해 꼭 필요하다. 현재 고령자는 65세 이상으로 규정되어 있으며 이에 따라 고령 운전자 사고에 관련된 다양한 연구들은 65세를 기준으로 일반운전자와 고령 운전자를 구분하여 분석한다. 이러한 배경으로 인해 수용 가능한 정확도의 수준에서 실질적으로 교통약자로 분류되어야 하는 신체 능력을 갖춘 고령 운전자를 구분하는 기준은 제시되고 있지 않다. 따라서 본 연구에서는 상관분석을 이용하여 고령 운전자의 연령별 사고특성을 분석하여 연령군집별 사고 위험성을 비교하도록 한다. 분석결과 차종별 주요 사고특성에 대해 75세 이상의 경우 사고 발생에 미치는 영향력이 높아지는 것으로 나타났으며, 70세에서 80세 사이 구간에서 사고 발생 빈도가 상대적으로 낮았던 승용차에 대해서도 주요사고특성을 분석한 결과 75세 이상 84세 이하 구간에서 사고 발생에 대한 영향력이 높아지는 것이 두드러지게 나타났다. 이는 고령화가 진행되고 평균 수명이 늘어남으로써 고령자 구간 폭도 증가하는바, 고령자 내에서도 특성이 나뉘게 되며 본 연구를 통해 연령군집별로 사고 발생에 대한 영향력이 달라지는 것을 확인하였다.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.245-256
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• 2021

This study is significant in determining the reduction of safety accidents by applying PDCA's theory by subdividing it into a case analysis technique for construction sites by PDCA's theory. For this study, accidents accounted for the largest proportion of each type of disaster in the construction site were considered, and safety accidents were reduced through the PDCA theory through prior research. The analysis method of this study derived improvement plans by applying PDCA techniques to plan, implement, confirm, review, and improve disaster accidents at construction sites. The conclusions of this study are as follows. In the plan, first of all, measures shall be taken to prepare a safety management plan, to verify the implementation of the plan, and to verify the degree of implementation by the field manager. In the implementation, first of all, it is necessary to introduce a safety education history system to strengthen the safety education curriculum to suit the site, as long-term work is impossible for field workers depending on field conditions. First of all, it is necessary to strengthen the installation of safety facilities, including "work scaffolding" and "conducting prevention facilities" at construction sites. In management review and improvement, the risk assessment system for construction sites needs to be expanded first°.

• 대한안전경영과학회지
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• 제14권2호
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• pp.55-63
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• 2012

As of Dec. 31, 2011, the number of nation's escalators accounts for 24,248 units, 5.4% of total elevators in our country, safety accidents take up as many 539 case, 55.2% of total elevators' safety accidents. Escalator safety accidents show high incident ratio of primary safety accidents breaking out by users' careless and abnormal use type, taking up multi-caused accident, which mainly take place from vulnerable age groups such as children under 13, and elders above 65. The Government will have to devote itself for policy and support for the establishment of safety management system fit for current state, the revitalization of preventive education for safety accident, the enhancement of safety awareness to escalators' users in order to secure escalator safety environment on an international level and support domestic industrial development.

• Safety and Health at Work
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• 제12권2호
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• pp.261-267
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• 2021

Background: The series of serious industrial accidents in recent years at contractors to large companies has highlighted risk outsourcing as a real and urgent problem. This study aims to review the difference in the degree of risk exposure and the occurrence of industrial accidents depending on the type of company relations. Among in-house contractors, the focus will be on those handling hazardous chemicals that include companies for which outsourcing requires approval. Methods: This study uses the 9th wave of the Industrial Safety and Health Survey (2018). For determining the degree of risk exposure, the occurrence of industrial accidents, and industrial accident rate, multivariate, logistic, and fractional logit, regression analyses were used, respectively. Results: First, In-house contractors' degree of risk exposure is higher than that of the client companies. In particular, this gap is even greater for companies dealing with chemicals. Second, among only those that handle hazardous chemicals, in-house contractors do show a significantly higher rate of industrial accident occurrence. Third, In-house contractors have a significantly higher rate of industrial accidents from diseases than client companies. Conclusion: The analysis supports the intent of the legal amendment that strengthens the protection of in-house contracted workers who handle hazardous chemicals. Second, the results of this study suggest that safety and health management must go beyond legal compliance and ensure that it has substance and effectiveness. Last, there should be policy consideration is necessary to reduce attempts to hide industrial accidents.

• International Journal of Safety
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• 제5권1호
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• pp.37-41
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• 2006

The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

• 대한안전경영과학회지
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• 제11권3호
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• pp.49-56
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• 2009

The quantity of the fuel gas consumed is trending upwards because it can be easily delivered but isn't deteriorated and doesn't have any environmental pollution. Though there are many advantages to use the fuel gas, it can be hesitated to consume more gas because of its explosiveness and combustibility. So paying more attentions to prevent the fuel gas accidents is required. In this paper, we examine the present situation data about the fuel gas accidents and analyze them statistically using ANOVA. we confirm that there is an acceptable difference between the mean values of accidents classified by the kind of gas, the cause, the type and the place but isn't by month. It is expected that our result can be applied as preliminary data when mapping out a strategy for preventing the fuel gas accidents.

• Journal of Preventive Medicine and Public Health
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• 제22권3호
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• pp.355-367
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• 1989

This study examined the physical and mental health factors affecting the industrial accidents of 142 injured and 1,212 uninjured workers in the shipbuilding industry from 1986 to 1988. The results acquired from the Todai Health Index (THI) and from analysis of the health examination were as follows: 1. Among the personal characteristics of the workers, the educational level of injured workers was significantly lower than that of the uninjured workers. 2. Among the physical characteristics, vision and $R\ddot{o}hrer$ Index of the injured workers were lower than those of the uninjured workers, and the difference was statistically significant. On the other hand, the differences in height, weight, hearing function, hematocrit, blood pressure, urine test, and X-ray findings were not statistically significant between the injured and uninjured workers. 3. The score of the THI questionnaire on the physical and mental health of the injured workers was higher than that of the uninjured workers, and the difference was statistically significant. 4. Form the THI score, the industrial workers had complained more about mental health than physical health and there was a statistically singinficant relation with the industrial accidents. 5. The relative risk expressed in terms of the odds ratio was 2.9 for poorer vision, 2.7 for a lower educational level, 2.2 for a higher THI score and 1.6 for overdrinking. 6 Educational level, vision, and the THI score were selected as significant factors influencing industrial accidents based on a log-linear model. According to the results of this model by logistic analysis, the odds ratio of industrial accidents was 1.8 for a lower educational level, 1.7 for poorer vision, and 1.6 for a higher THI score. 7 By event history analysis with the dependent variable as the duration of work at the time of the industrial accident, educational level, age, $R\ddot{o}hrer$ Index and THI score were the statistically significant variables selected, and the hazard rate of industrial accident occurrence was 0.24 for a lower educational level, 0.92 for age, 0.99 for a lower $R\ddot{o}hrer$ Index and 2.72 for a higher THI score. As we have seen, educational level and THI score were the most significant factors affecting the hazard rate of industrial accidents. Vision, $R\ddot{o}hrer$ Index, age, and drinking behavior were also statistically significant variables influencing industrial accidents. Therefore, in order to prevent industrial accidents, it is necessary to establish a health management plan for industry which can objectively evaluate not only the physical but also the mental health of the workers. If we use this type of study as a prospective study design, we can determine the relative risk of physical and mental health factors on industrial accidents. Furthermore, it is expected that this type of study will provide workers at high risk with more precise basic data for a health managment plan for industrial accident prevention.