• Journal of the Ergonomics Society of Korea
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• v.20 no.2
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• pp.1-28
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• 2001

This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.

• Child Health Nursing Research
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• v.25 no.4
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• pp.388-397
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• 2019

Purpose: This study aimed to identify the degree of accident prevention behavior, self-esteem, self-regulation ability, and social support among middle-school students, and investigate factors influencing their practice of accident prevention behaviors. Methods: The participants were 174 students from two middle schools located in J city. Data were collected from December 28, 2017 to February 9, 2018 using self-reported questionnaires. Results: The mean score were $3.08{\pm}0.37$ of 4 for practice of accident prevention behaviors, $3.07{\pm}0.57$ of 4 for self-esteem, $3.69{\pm}0.48$ of 5 for self-regulation ability, and $3.38{\m}0.75$ of 5 for social support. Positive correlations were found among self-regulation ability, self-esteem, social support, and practice of accident prevention behaviors. The factors influencing the practice of accident prevention behaviors were personality (being 'haste') (${\beta}=-.20$, p=.003), self-regulation ability (${\beta}=.48$, p<.001), and social support (${\beta}=.23$, p<.001). These factors explained 39.0% of the variance in practice of accident prevention behaviors. Conclusion: It was found that the middle-school students engaged in prevention behavior to an extent that was insufficient to prevent accidents. Therefore, it is necessary to develop intervention strategies to improve the practice of accident prevention behavior among middle-school students, considering self-regulation ability, social support, and personality, which affect the practice of accident prevention behaviors.

• Korean Journal of Psychosomatic Medicine
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• v.4 no.2
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• pp.215-225
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• 1996

We studied the factors that would affect the severity of psychiatric symptoms of the Sampoong accident survivors. In this study, the analyzed factors are sex, age, marital status, educational level, loss of consciousness, witness of death, death of related person, duration until the rescue, duration of hospitalization, and psychiatric treatment after the accident. Although our study has some limitations, we found some factors that affect the severity of psychiatric symptoms after the severe traumatic accident.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.129-134
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• 2017

This study aims to develop the traffic accident models by circular intersection type using count data model. The number of accident, the number of fatal and injured persons(FSI), and EPDO are calculated from the traffic accident data of TAAS. The circular intersection accident models are developed through Poisson and negative binomial regression analysis. The main results of this study are as follows. First, the null hypotheses that there are differences in the number of traffic accidents, FSI and EPDO by type of circular intersections are rejected. Second, the scale of intersection(median, large), number of approach road, mean width and length of exit road, area of the circulating roadway and central island are selected as factors influencing the number of traffic accidents, FSI and EPDO in rotary. Third, the scale of intersection(median), guide signs(limited speed, direction, roundabout), number of approach road, entry angle, area of the intersection and central island are adopted as factors influencing the number of traffic accidents, FSI and EPDO in roundabout. Finally, transferring from rotary to roundabout could be expected to make the accident decrease.

• International Journal of Highway Engineering
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• v.10 no.4
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• pp.53-63
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• 2008

Even though accident frequencies in roadway segments have been decreasing since 2000, there has been increasing the number of vehicle crashes at intersections. Due to this increase, safety problems at intersection recently started to be regarded as significant issues. The purpose of this study is to analyze the effects of road conditions, traffic operational conditions, and other influencing condition on intersection safety. Then a traffic accident frequency prediction model to evaluate the safety at intersections was developed based on the correlations between influencing factors and vehicle crashes. In this research, critically significant factors affecting vehicle crashes at rural four-legs signalized intersections were investigated. It was found that Poisson regression was the best fit method to developing a accident frequency modeling using the collected data in this study. Through this study, it was concluded that exclusive left turn lane, crosswalk, posted speed, lighting, angle, and ADT are significant influencing factors on the intersection safety.

• Korean Journal of Occupational Health Nursing
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• v.17 no.2
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• pp.210-215
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• 2008

Purpose: This study aimed to find the factors affecting medical sequelae management service satisfaction among injured workers. Method: This study population were 200 randomised samples of 619 medical sequelae management beneficiaries from April to June 2007 among occupational accident treatment ending workers in 2006. Data were collected through the telephone survey from November 28 to December 7 in 2007. Data were analyzed by ${\chi}^2$ test and multiple logistic regression using SAS 9.1 version. Results: According to the finding of this study, positive perceptions for the purpose and the effect of medical sequelae management were the factors influencing the satisfaction of medical sequelae management service. Conclusions: We recommend key issues to take into account for enhancing medical sequelae management service satisfaction in workers' compensation as follows; explaining the purpose and effect of medical sequelae management to client, evaluating medical sequelae management effect, and the policy participation of medical profession.

• Journal of Society of Preventive Korean Medicine
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• v.26 no.3
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• pp.49-58
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• 2022

Objectives : The purpose of this study is to analyze the factors affecting the intention of traffic accident patients, who had visited Korean medicine clinics for the purpose of treating traffic accidents, on revisiting and recommending those clinics to others. Methods : This study conducted the frequency analysis, Rao-scott chi-square test, and logistic regression analysis on 389 people, who answered that they had once visited Korean medicine clinics for treatment in traffic accidents, using data from the 2020 Korean Medicine Utilization and Herbal Medicine Consumption Survey. Results : As a result of the analyses, it was revealed that the significant influencing factors entailed marital status, job status, the attitude of medical staff, and access to the Korean medicine clinics, while only access to the Korean medicine clinics was a significant influencing factor for the intention to recommend to others. Especially, the intention of to revisit and to recommend in case of satisfying access to the Korean medicine clinics were 8.476 times and 6.784 times higher than when it is not the case. Conclusions : The results of this study reflect the characteristics of automobile insurance, and indicate that both further study and policy establishment on the operation of the automobile insurance system are required to ensure sufficient treatment for traffic accident patients.

• Journal of the Korean Society of Safety
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• v.38 no.4
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• pp.15-22
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• 2023

LPG-related accidents, which account for half of all gas accidents in Korea, have not shown any sign of decrease over the past decade, partially owing to the lack of effective safety improvement measures. The purpose of this study was to identify the effectiveness of improvement measures by analyzing the traits of accidents in terms of human factors, and to seek more effective accident prevention strategies. In this study, 108 accident cases were collected and analyzed in the aspect of accident characteristics such as violation type, human factors, and so on. The results showed that the work procedures of suppliers and engineers related to LPG accidents seemed to be similar in outward appearance; however, specific accident causes and unsafe behaviors were different. Particularly, type and target of violations were different, which could be visually confirmed by the Principal Component Analysis (PCA) and the Quantification Techniques (QT). Furthermore, for engineers, insufficient supervision was a major influencing factor. In conclusion, because the accident characteristics of suppliers and engineers are different, differentiated accident prevention strategies should be implemented, which was discussed in this study.

• Proceedings of the Korean Nuclear Society Conference
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• 1999.05a
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• pp.193-193
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• 1999

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.821-830
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• 2023

This research aims to identify risk factors for fall accidents at small and medium-sized construction sites through a comprehensive regression analysis. Initially, the study involved collecting a decade's worth of fall accident data from these sites. A t-test confirmed a significant variation in the treatment duration following fall accidents between two distinct groups: small and medium-sized versus large construction sites. Subsequently, a regression analysis was conducted to establish a model highlighting the risk factors associated with safety accidents. The factors influencing fall accidents were determined to be, in descending order of impact, the time of the accident, the day of the accident, and the occupational classification. The findings from this study are expected to serve as foundational data for enhancing policies and conducting statistical analyses tailored to construction site sizes. They also provide crucial information for future research on risk quantification at small and medium-sized construction sites.