The present situation of Korea already shone various symptoms of the aged society, and many kinds of data reported by the National Statistical Office demonstrate those facts. However, to my regret, sufficient efforts for aged workers are not taken in the area of industrial safety. In this research, work arrangement and industrial accidents of middle-aged and aged workers over last 5 years were analyzed. According to research results, proportion of industrial accidents involved middle-aged and aged workers was as high as 40%, and that of aged workers alone was so high as 25%. In addition, proportion of accidents were higher than that of worker population f3r aged wetters. Considering ages, it was demonstrated that as workers get older, mean number of accidents shows the tendency of going higher, and that as years go by, mean lost work-days are increasing regardless of age group. Main accident types were Fall followed by Slip, and Work-Related Disease, furthermore proportion of Slip was highest than any other types for aged workers. Based upon these results, it was emphasized thai careful attention should be paid to functional characteristics of aged workers, and that modification of accident prevention policy would be necessary.
Proceedings of the Korean Institute Of Construction Engineering and Management
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2007.11a
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pp.714-717
/
2007
This paper presents the findings that may be useful for establishing safety policies involved with safety plan, program, and control relative to fatal accidents in construction job site. The fatal accident investigation database maintained by Korean Production Household Mascot Safety Industrial Complex is accessed. The 5 years fatal accidents occurred in 2002 to 2006 were analyzed. The statistic relative to the fatal accidents in different project types is obtained using different classifications such as occupation, years of experience, accident type, and time in a day. This research would contribute to ensure the effectiveness of safety policy so as to enhance worker safety.
Purpose: The purpose of this study was to examine the types of school accidents and their first aids at Elementary, Middle, High Schools in a local area. Methods: The subjects were 1062 students who have had episodes of school accidents from 730 (Elementary = 429, Middle = 188, High = 113) schools in Chungnam province from January to December, 2006. Data were collected from accident-related record from school nurse and 'School Safety Fund', and analyzed using the SPSS Version 13.0 programs and the results and conclusions are as follows: Results: The proportion of school accidents occurred were in middle(0.43%), high(0.35%), primary(0.30%) school students. And the most frequent type of accident was fracture and then sprain. Most school accidents broke out in playground during resting time, and followed by physical education class. The most frequent cause of school accidents was carelessness and first aid was fixation the injury. Conclusion: Based on these findings, school-based and continuous safety education programs and emergency care system within school and in community can be suggested in collaboration with health-related resources. Further longitudinal study to identify causes and kinds of school accidents and can also be recommended.
Purpose: It is intended to prevent similar and similar disasters in advance by classifying the types of industrial accidents by type of distribution center and establishing countermeasures. Method: Development of improvement measures by analyzing in detail the types of occurrences of each type of 5 years in the distribution center. Result: Through the analysis of industrial accidents that occurred in the distribution center, it was possible to find ways to reduce disasters. Conclusion: It is expected to help reduce the disaster rate of the distriution center by presenting a disaster reduction plan through the analysis of industrial accidents in the distribution center.
Kyung Min Kim;Yongyoon Suh;Jong Bin Lee;Seong Rok Chang
Journal of the Korean Society of Safety
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v.38
no.4
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pp.23-31
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2023
Revising the Occupational Safety and Health Act led to enacting and revising related laws and systems, such as placing fire observers in hot workplaces. However, the operating standards in such cases are still ambiguous. Although fire accidents occur through multiple and multi-step factors, the hazards of fire accidents have been identified in this study as individual rather than interrelated factors. The aim has been to identify multiple factors of accidents, outlining fire and explosion accidents that recently occurred in the domestic manufacturing industry. First, major keywords were extracted through text mining. Then representative accident types were derived by combining the main keywords through the co-word network analysis to identify the hazards and their relationships. The representative fire accidents were identified as six types, and their major hazards were then addressed for improving safety measures using the identification of hazards in the "Risk Assessment" tool. It is found that various safety measures, such as professional fire observers' training and clear placement standards, are needed. This study will provide useful basic data for revising practical laws and guidelines for fire accident prevention, system supplementation, safety policy establishment, and future related research.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.9
no.1
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pp.89-95
/
2014
This study is to notify differences of PITR reaction groups classified by industrial accident. This study aims to know reaction of stress, preparation plan, and psychological resources on industrial accident workers. The research was performed as below: First, Measuring and descriptive statistical analysis were performed. twenty workers who were hospitalized by industrial accidents and twenty patients who were hospitalized by common accidents. Data were collected from March to October in 2013. Then There were classified Two groups following subjects; 'industrial accident' and 'common accident'. Second, Questionaries assessing demographic and PITR(Person-In-The-Rain) by Heidi S. Lack. Third, statistical analysis was done by SPSS for Window 18.0. To Verify the reliability of the measures and correlations between two groups, and to find out the difference of the reaction of 'stress', 'preparation plan', and 'psychological resource', were used frequency analysis and T-test. The results of this is significant personality types of industrial accident are followings; Industrial accident workers' felt more stressful, less self esteem, and less psychological resource than common accident patients.
In the past most major accidents resulted in death, but today there is a dramatic increase in the number of people who survive such accidents but who are left with permanent injury. Particularly, children who are inquisitive about their surroundings but immature in their ability to assess danger, are more vulnerable to accidents and their causes as well as to determine attitudes towards prevention. The main objective of the study was to assess the effectiveness of using an accident prevention manual for accident for accident prevention education. The study was a quasi-experimental study using a questionnaire format. The subjects of the study were 393 mothers of children attending six day care centers in Seoul. Data collection was done between May 1 and June 15, 1997. The tools used for the study were a questionnaire developed the researchers and a manual for accident prevention. The collected data were analyzed using SPSS. The results of the study are as follows: 1. Types of accidents included stabbing, bums, falls from heights, choking, falls on slippery surfaces, traffic accidents, drowning, poisoning, and electrical shock in that order of frequency. 2. The main causes of accidents in children were from cosmetics and household medications. 3. The most frequent locations of accidents in the home were the bathroom, kitchen, and stairways in that order. 4. For $90.4\%$ of children safety seats were not used when the ridding in a car. 5. In examining the parents' accident prevention practices, it was found that many parents used only . one electrical outlet for many appliances, tending to overload the electricity lines and that they were not practically concerned bout the flammability of children's pajamas, indicating a less than positive attitude towards fire prevention. 6. The parents had not provided their children with any instruction on accident prevention or on what to do after an accident had occurred. 7. After the use of pamphlet in an accident prevention education program, it was found that there was a statistically significant difference in the degree to which children carried out safety measures (t=14.96, p=.000) and in their safety habits (t=-1.67, p<.1) indicating an effectiveness in this method of education. The results of this study showed that there are many things in a child's environment that can cause accidents and that the possibility of an accident occurring is high. So nurses looking after children should be aware of the need for safety education to prevent accidents in the home and plan to provide appropriate educational material to help parents with this education.
Many studies have analyzed marine accidents, and since marine accident information is updated every year, it is necessary to periodically analyze and identify the causes. The purpose of this study was to prevent accidents by identifying and analyzing the causes of marine accidents using previous and new data. In marine accident data, 1,921 decisions by the Korea Maritime Safety Tribunal on marine accidents on fishing ships over 16 years were collected in consideration of the specificity of fishing ships, and 1,917 cases of accident notification text history by the Ministry of Maritime Affairs and Fisheries over 3 years were collected. The decision data and text data were classified according to variables and quantified. Prior probability was calculated using a Bayesian network using the quantified data, and fishing ship marine accidents were predicted using backward propagation. Among the two collected datasets, the decision data did not provide the types of fishing ships and fishing areas, and because not all fishing ship accidents were included in the decision data, the text data were selected. The probability of a fishing ship marine accident in which engine damage would occur in the West Sea was 0.0000031%, as calculated by backward propagation. The expected effect of this study is that it is possible to analyze marine accidents suitable for the characteristics of actual fishing ships using new accident notification text data to analyze fishing ship marine accidents. In the future, we plan to conduct research on the causal relationship between variables that affect fishing ship marine accidents.
Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.
Journal of Korean Society of Industrial and Systems Engineering
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v.40
no.4
/
pp.147-153
/
2017
The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.
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