• Journal of the Ergonomics Society of Korea
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• v.25 no.4
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• pp.137-144
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• 2006

The goal of this study is to find out correlation between Driver's Unsafe acts(errors and violations) and Personality types. The experiment was performed on 180 subjects, men and women between 20's and 60's having experience in driving for 6 months at least. Personality types of the subjects were classified by MBTI(Myers-Briggs Type Indicator) GS type and Driver's unsafe acts were measured by KDBQ(Korean Driver Behavior Questionnaire) based on Reason's DBQ(Driver Behavior Questionnaire). The result of experiment showed several facts about the relation. The first is that the drivers of P (Perceiving) type commit more violations and slips than drivers of J(Judging) type. The second is that in the comparison among attitude indexes(EP, EJ, IP, IJ) the drivers of EP(Extroversions - Perceiving) commit more violations than other type drivers. Finally, only men of P(Perceiving) type commits more violations than men of J(Judging). Based on these facts, it is possible to use Personality types as a device to prevent unsafe acts in various fields for driver selection and accident prevention training classified by Personality types etc.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.11-19
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• 2012

Especially because of the distinctiveness that new experiments and research provoke coexistence of various risk factors, the researchers in university laboratory are being exposed to incidents that are difficult to predict. Due to the fact that the numbers of accidents that occur at the university laboratory are increasing, the necessity for laboratory safety management is on the rise. Most laboratory accidents are caused by the ability that can detect risk factors such as unsafe behavior or unsafe condition but is not working perfectly. In order to prevent researchers in advance from unsafe behavior or unsafe condition, effective safety education, systematic safety management, safe research environment, continuous safety check and proper measures after accident are the most important factors. In this study, survey was conducted in university laboratory to identify the factors that affect on safety management and to measure the safety management level. As a result, effective measures are proposed for the improvement of the safety management level.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.35-44
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• 2014

This study empirically examines how much effect levels of fatigue and stress of a construction worker have on disaster risks from the perspective of human factors concerning construction disaster risks. To achieve the purpose of this study, a survey was conducted with respect to construction workers working at large construction sites within the metropolitan area. The retrieved survey data were analyzed by using the statistical software programs, SPSS 18.0 and AMOS 8.0. The results of this study do not definitively lead to the conclusion that the level of fatigue or stress of construction workers result in disaster risks. However, it does show that the results vary depending upon the individual approach and treatment of stress and fatigue. In particular, this study revealed that disaster risk levels could increase through unsafe behavior intentions which were established as a mediator variable. Also, with respect to unsafe behavior intentions of construction workers leading to disaster risks, when examining the results that the level of mental fatigue, occupational stress and social-psychological stress of construction workers had a greater significant effect than the level of physical fatigue, this study demonstrates the importance of psychological and mental issues that could be easily overlooked with respect manual labor workers.

• Journal of the Korean Society of Safety
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• v.33 no.5
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• pp.109-119
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• 2018

This study has performed to identify the effect of safety behavior, safety climate and its satisfaction through the Behavior Based Safety Program for 5 sites of the same Company. The study result indicated that the level of recognized safety behavior, climate and its satisfaction improved by conducting observation of worker behavior, jobsite feedback, displaying feedback chart, safety training, behavior modification committee. Additionally, the participation level of safety activity and conformity level of safety rule improved. The recognized level of safety climate improved together with recognized safety value by management, safety participation of direct boss, communication with each other to be dealt with safety matter, safety training material to be contained unsafe behavior and practical hazard, understanding and conducting safety standard. In addition, The recognized level of satisfaction improved together with safety behavior and climate. As a result, this program provided an opportunities to correct worker's unsafe behavior to safe behavior in conjunction with increasing number of observation, providing additional time to have a safety check, safety suggestion to improve work situation and a permit to work rule. It will be integrated into health and safety management system to be able to reduce industrial accident.

• Journal of the Korean Society of School Health
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• v.33 no.1
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• pp.39-47
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• 2020

Purpose: The purpose of this study was to compare unsafe sex experiences of multicultural and non-multicultural adolescents. Methods: The study analyzed the data of 3,029 respondents who responded that they had sex in the Korea Youth Risk Behavior Web-Based Survey of 2018. Weighted percentages and simple and multiple logistic regression were conducted using SAS 9.2. Results: As a result of univariate analysis, the odds ratio of unsafe sex was significantly higher in multicultural adolescents, but the difference between the two groups was not significant after controlling for the related variables. Among the covariates, the odds of unsafe sex were significantly higher in boys (AOR: 1.34; 95% CI: 1.08~1.66), those who did not live with their family (AOR: 1.68; 95% CI: 1.17~2.39), those with low academic achievement (AOR: 1.33; 95% CI: 1.02~1.73), binge drinkers (AOR: 1.61; 95% CI: 1.29~2.02), smokers (AOR: 1.37; 95% CI: 1.06~1.78), and those who did not receive sex education (AOR: 1.59; 95% CI: 1.20~2.11). Conclusion: There was no significant difference in unsafe sex experience between multicultural and non-multicultural adolescents. This study also shows the positive effect of school sex education on safe sex in teenagers. It is necessary to strengthen sex education for male students, students not living with their family, students with low academic achievement, binge drinkers, and smokers.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.10-14
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• 2015

Unsafe behavior is one of the major causes of construction accidents. Managing the behavior of workers in real-time is difficult and requires huge manpower. In this paper, a new real-time locating framework is proposed to improve safety management by collecting and analyzing data describing the behavior of workers to identify habits that may lead to accidents. The aim of the study is to identify working habits of workers based on their location history. Location data is used to compare with that of other workers and equipment. The results indicate that the reuse of real-time location data can provide extra safety information for safety management and that the proposed system has the potential to prevent struck-by accidents and caught-in between accidents by predicting unwanted interaction between workers and equipment. This adds to current research aimed at automating construction safety to the point where the continuous monitoring, managing and protection of site workers on site is possible.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.12
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• pp.1711-1716
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• 2018

Unlike conventional transmission and distribution lines, catenary system for operating electric railway vehicles are composed of multi-conductor groups (feeder line, contact wire, messenger wire, protection wire) and are used for railway employees, public or passengers in the station yards. Electric shock hazards are exposed and electric shocks such as death or serious injury are occurring in electric railway vehicles, railway high-voltage distribution lines, and catenary system. In order to analyze the types of electric shock accidents on railway by systematic approach method, we modeled 'unsafe behavior classification' method using swiss cheese model. Based on this method, we derived the type of electric shock accidents about railway accidents during the last 5 years by analyzing the frequency of occurrence of human errors and unsafe acts, laws and regulations related to violations, and so on.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.1-8
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• 2009

The studies on semiconductor industrial accident in korea have been focused on the frequencies of each type of safety management employee, characteristics, cause and unsafe conditions, acts and so on. Those attributes of semiconductor industrial accidents were usually analyzed independently, so that it was hard to provides a wel-developed process and systematic guidelines for efficient safety management. Therefore, there were a few studies based on comprehensive survey in terms of the shape type of safe management. The questionnaire survey carried out for the 284 workers who were responsible for safety management in center with cooperation companies in semiconductor industry factor analysis showed that there were three factors of safety management. First, investment and operation and management for accident prevention, Second, unsafe act and condition, safety management Third, general human error and behavior. The industries of respondents were correlative with three groups. Three groups showed statistically significant differences on the number of cases. Actually, the group with the larger investment and the more unsafe cause, human error of accidents prevention had a smaller causes of accident cases.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.909-916
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• 2022

To study the developments and variations of unsafe behaviors in nuclear power plants thus reduce the possibility of human-related accidents, this paper, based on the Game Theory, focused on the changes in benefits of the Department of Management, Operational and Emergency in a nuclear power plant, and established the expected revenue functions of these departments. Additionally, the preventive measures of unsafe behaviors in nuclear power plants were also presented in terms of these 3 departments. Results showed that the violations of the Operation Department (OD) and the Emergency Department (ED) were not only relevant with the factors such as their own risks, costs, and the responsibility-sharing due to accidents, but also affected by the safety investments from the Management Department (MD). Furthermore, results also showed that the accident-induced responsibility-sharing of both the OD and the ED would rise, if the MD increased the investments in safety. As a result, the probability of violation behaviors of these 3 departments would be attenuated consciously, which would reduce the unsafe behaviors in the nuclear power plants significantly.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.417-428
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• 2023

The demolition of domestic infrastructures mirrors other significant construction initiatives in presenting a markedly high accident rate. A comprehensive investigation into the origins of such accidents is crucial for the prevention of future incidents. Upon detailed inspection, the causes of demolition construction accidents are multifarious, encompassing unsafe worker behavior, hazardous conditions, psychological and physical states, and site management deficiencies. While statistics relating to demolition construction accidents are consistently collated and reported, there exists an exigent need for a more foundational cause categorization system based on accident type. Drawing from Heinrich's Domino Theory, this study classifies the origins of accidents(unsafe behavior, unsafe conditions) and human errors(human factors) as per the type of accidents experienced during demolition construction. In this study, a three-step model of QFD-FMEA(Quality Function Deployment - Failure Mode Effect Analysis) is employed to systematically categorize accident causes according to the types of accidents that occur during demolition construction. The QFD-FMEA method offers a technique for cause classification at each stage of the demolition process, including direct causes(unsafe behavior, unsafe environment), and human errors(human factors) through a tri-stage process. The results of this accident cause classification can serve as safety knowledge and reference checklists for accident prevention efforts.