• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.815-827
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• 2001

Accidents involving students are an important cause of death and disability. They also have enormous financial implications. In order to prevent childhood accidents. research and education for safety should be strengthened. The purpose of this study was to determine how often lower grade elementary students have accidents and what factors affect the accident rate. The study population consisted of 676 students who were in the 2nd, 3rd and 4th grades of twelve elementary schools located in Kun Wi Gun. The questionnaires were distributed to all of the 2nd to 4th grade student in the Kun Wi Gun to be completed by their parents about all the accidents which happened last one year and collected during the period of March 19, to March 30, 2001. The data were analyzed by using SPSS WIN 10.0 statistical package. The results of the study are as follow: 1. Among 676 students. 270 students had 540 accidental injuries during the study period. 2. The month, the day and the time with the highest accident rate were April. Monday. and between 1 and 4 p. m. each. 3. In the analysis of the location where the injury took place, the most frequent place was on school, around their homes and. then inside the home. 4. Most of accidents were caused by carelessness on the part of the students and the most frequent type of injury was an abrasion. 5. Students most injured part of the body was their legs. 6. They were treated at home most often and usually emergency treatment was performed by family members with disinfectant as first aid measure. Cost of the treatment of the accident ranged from 10.000 to 30,000 won in most cases. 7. Students' personality. type of family composition. mother's age and parents' education level were statistically significant. As a conclusion. 1st to 3rd grade rural elementary students need their assessment for accident involving condition. This study gave a very useful and important data to prepare accident prevention teaching program and to prepare accident prevention strategies.

• Knowledge Management Research
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• v.25 no.1
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• pp.217-233
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• 2024

The demand for two-wheelers has increased in recent years, driven by the growing delivery culture, which has also led to a rise in the number of two-wheelers. Although two-wheelers are economically efficient in congested traffic conditions, reckless driving and ambiguous traffic laws for two-wheelers have turned two-wheeler accidents into a significant social issue. Given the high fatality rate associated with two-wheelers, the severity and risk of two-wheeler accidents are considerable. It is, therefore, crucial to thoroughly understand the characteristics of two-wheeler accidents by analyzing their attributes. In this study, the characteristics of two-wheeled vehicle accidents were categorized using the K-prototypes algorithm, based on data from two-wheeled vehicle accidents. As a result, the accidents were divided into four clusters according to their characteristics. Each cluster showed distinct traits in terms of the roads where accidents occurred, the major laws violated, the types of accidents, and the times of accident occurrences. By tailoring enforcement methods and regulations to the specific characteristics of each type of accident, we can reduce the incidence of accidents involving two-wheelers in metropolitan areas, thereby enhancing road safety. Furthermore, by applying machine learning techniques to urban transportation and safety, this study adds to the body of related literature.

• Journal of the Korea Convergence Society
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• v.5 no.1
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• pp.9-15
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• 2014

Traffic accidents are caused by a variety of factors. Among the factors that cause traffic accidents are weather conditions at the time. There is a difference in the percentage of deaths according to traffic accidents, due to the weather conditions. In order to reduce the number of deaths due to traffic accidents, to predict the incidence of traffic accidents that occur in response to weather conditions is required. In this paper, it propose a model to predict the incidence of traffic accidents caused by weather conditions. Predictive modeling was applied to the theory of Markov processes. By applying the actual data for the proposed model, to predict the incidence of traffic accidents, it was compared with the number of occurrences in practice. In this paper, it is to support the development of traffic accident policy with the change of weather.

• Journal of Navigation and Port Research
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• v.46 no.2
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• pp.92-98
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• 2022

Maritime accidents result in enormous economic loss and loss of life; thus, such accidents must be prevented, and risks must be managed to prevent these occurrences Risk management must be based on statistical evidence such as variables. Because calculating when variables increase statistically can be difficult, compressing the designated variables is necessary to use the maritime accident data in Korea. Thus, in this study, variables of marine accident data are compressed using statistical methods. The date, ship type, and marine accident type included in all maritime accident data were extracted, the number of optimal variables was confirmed using the hierarchical clustering analysis method, and the data were compressed. For the compressed variables, the validity of the data use was statistically confirmed using analysis of variance, and the data of the variables identified using the variable compression method were designated. Consequently, among the monthly and yearly data, statistical significance was confirmed in yearly data, and compression was possible. The significance of the data was confirmed in six and eight types of ships and accidents, respectively, and these were compressed. These results can be directly used for prevention or prediction based on past maritime accident data. Additionally, the data range extracted from past maritime accidents and the number of applicable data will be studied in the future.

• Korean Journal of Occupational Health Nursing
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• v.22 no.3
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• pp.249-256
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• 2013

Purpose: This study was conducted to compare the rates of industrial accidents in workplaces that adopted the 2011 Workplace Health Promotion Subsidy Scheme before and after the implementation. Methods: The study analyzed the raw data of industrial accidents of 304 workplaces which received subsidies for health promotion activities in 2011. The raw data covered the period from February 2010 to July 2012, based on the dates of industrial accidents. Results: Workplaces subsidized for health promotion activities reported fewer occurrences in staff injuries and illnesses than before the subsidization, as the total number of industrial accident victims dropped from 0.35 to 0.24. The rate of industrial accidents also dropped from 0.49 to 0.35, with the number of working days decreased from 35,433 to 23.867, about 33%. Conclusion: The study showed that financial support for health-promoting activities contributed to the decease in industrial accidents, which is an important indication advocating the need for corporate and government investment on workers health promotion programs. Furthermore, this study is also significant as it is the first research conducted in Korea to examine the impact of a workers health promotion project using a direct indicator, the rate of industrial accidents.

• Safety and Health at Work
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• v.15 no.2
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• pp.208-212
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• 2024

Background: Traffic accidents involving professional drivers have serious societal repercussions. Unique occupational stressors and health risks exacerbate the likelihood of traffic accidents among professional drivers. This study explores the association between presenteeism-impaired work performance due to working while unwell-and traffic accident risk among professional taxi drivers in Japan. Methods: A prospective cohort study was conducted from June 2022 to February 2023, involving taxi drivers from a single company in Fukuoka Prefecture, Japan. Presenteeism was assessed using the Work Functioning Impairment Scale (WFun). Primary outcome involved the number of self-reported minor traffic accidents. The incidence rate ratio (IRR) of minor traffic accident occurrences was estimated using a Poisson regression analysis, adjusted for confounders including sex, age, and driving experience. Results: Of 838 targeted drivers, 435 were included in the analysis. Higher baseline work functioning impairment was associated with a significant trend of increasing IRR of minor traffic accidents (p for trend = 0.045). A dose-response relationship was seen between the degree of presenteeism and incidence rate of minor traffic accidents. Conclusion: Higher levels of presenteeism were associated with an increased risk of traffic accidents among taxi drivers. The findings underscore the need for socio-economic support and prioritized health management to mitigate traffic accident risk among professional drivers. This study highlights the importance of managing non-critical health issues alongside serious health conditions for safer driving practices among professional drivers in Japan.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.759-768
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• 2007

Construction is one of the most hazardous industries due to its unique nature. Recent occurrences of highly publicised and criticized construction site accidents have highlighted the immediate need for the construction industry to address safety hazards. Safety used to be addressed as an isolated issue in the past, but the problem of safety is an emergent property of a system. In general, it seems that both industrial practitioners and government officials have tended to address safety by focusing on technical aspects and looking for immediate causes of accidents after they have taken place. The objective of this paper is to examine issues and critical factors that affect the safety standards from a holistic point of view. The job of making worksites safe should not just fall squarely on the contractors but should be shared by all parties in the value chain of construction activities.

• Journal of the Korean Society of Safety
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• v.37 no.2
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• pp.18-27
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• 2022

Construction accidents are difficult to prevent because several different types of activities occur simultaneously. The current method of accident analysis only indicates the number of occurrences for one or two variables and accidents have not reduced as a result of safety measures that focus solely on individual variables. Even if accident data is analyzed to establish appropriate safety measures, it is difficult to derive significant results due to a large number of data variables, elements, and qualitative records. In this study, in order to simplify the analysis and approach this complex problem logically, data preprocessing techniques, such as latent class cluster analysis (LCCA) and predictor importance were used to discover the most influential variables. Finally, the correlation was analyzed using an alluvial flow diagram consisting of seven variables and fourteen elements based on accident data. The alluvial diagram analysis using reduced variables and elements enabled the identification of accident trends into four categories. The findings of this study demonstrate that complex and diverse construction accident data can yield relevant analysis results, assisting in the prevention of accidents.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.560-565
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• 2022

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.

• Journal of Environmental Health Sciences
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• v.48 no.1
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• pp.9-18
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• 2022

In today's civilization, it can be impossible to prevent disasters that cause large-scale human and material harm, and the environmental industry is not excepted from this. Over the last 50 years, several large and small environmental health catastrophes have occurred in Korea. Notable instances include the phenol pollution accident in the Nakdong River, the Hebei Spirit oil spill in Taean, Chungcheongnam-do, and the humidifier disinfectant disaster. Looking at these instances, it is clear that the government failed to prevent similar incidents and accidents after the tragedies. The government created and executed different policies to prevent such incidents and accidents, but the majority of them were highly fragmented. It is understandable that depending on the political and social level of the society in which the environmental health hazard incident/accident happened, the investigation of the cause, countermeasures, and policy reaction may differ. To put it another way, the more authoritarian and non-democratic a political social system is, the more likely it is to cover up occurrences and accidents without a deep examination. This is in line with the members of society's level of political awareness and acknowledgment of the importance of life and safety. In 1985, when the Onsan pollution disease was discovered, and in 2011, when we recognized the realities of the humidifier disinfectant disaster, South Korea's political and social systems were entirely different.