• 한국안전학회지
• /
• 제33권5호
• /
• pp.101-108
• /
• 2018

This study was carried out to obtain baseline data on the causes of industrial accidents and their prevention by investigating structural models between the Shipyard workers' egogram ego-states (CP: Critical Parent, NP: Nurturing Parent, A: Adult, FC: Free Child, AC: Adapted Child), safe and unsafe behaviors, and industrial accidents (frequency/severity). In order to achieve this goal, 378 workers from 3 locations of major corporations in Geojedo Island and Ulsan took a questionnaire, which was then analyzed with a structural equation model using the SPSS 23.0 and AMOS 24 statistics package, and the main results of the study are as follows. First, NP and A's ego-states had a positive influence on safe behavior, AC's ego-state had a negative influence on safe behavior, and A's ego-state had the largest influence on safe behavior. Second, CP and AC's ego-states had a positive influence on unsafe behavior, and A's ego-state had a negative influence on unsafe behavior. AC's ego-state had the largest influence on unsafe behavior. Third, safe behavior did not have a significant influence on industrial accidents. However, unsafe behavior had a positive influence on industrial accident frequency and industrial accident severity, both sub-factors of industrial accidents. This study, despite its limitations, such as sampling limitations, has the following significance. First, this study verified that ego-state, a psychological characteristic, is an important factor for predicting unsafe behavior that induces industrial accidents. Second, in order to reduce industrial accidents, there is a need to stimulate the A ego-states, and promote continuous safety management and safety education to neutralize the AC ego-state. Third, previous studies were limited in the area of practical methods for reducing unsafe behaviors, but this study presents practical methods for reducing unsafe behaviors by verifying the structural relationship between safe/unsafe behaviors and industrial accidents by selecting ego-gram ego-states, variable personality theory, as an independent variable.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 2009년도 추계학술대회
• /
• pp.1-7
• /
• 2009

Most industrial accidents occur when the workers' unsafe behavior and the unsafe situation of workplace take place at the same time. Although human's unsafe behavior is indispensable to work field, the evaluation scheme to detect the causes for the accident resulted from human's unsafe behavior and counterplan should be prepared to prevent and reduce accident. To do this, we first classify the specific background factors in terms of human inner factor and environment factor and then develop the AHP (Analytic Hierarchy Process) model to analyze the background factors that affect the worker's unsafe behavior. We also develop a checklist to be able to evaluate the occurrence possibility of individual worker's unsafe behavior.

• 한국건설관리학회논문집
• /
• 제24권6호
• /
• pp.91-98
• /
• 2023

Construction accidents result from a combination of factors, including both the actions of workers and the safety conditions on site. Despite advancements in enhancing construction site safety, there remains a gap in comprehending the cognitive processes underlying workers' unsafe behavior. This paper investigates and validates a qualitative model that delves into the potential causes of workers' unsafe actions by examining their cognitive processes, employing a system dynamics approach. By analyzing the interplay of various loops within this model, it offers both short- and long-term safety strategies for managers intent on minimizing unsafe behavior among workers. Specifically, safety managers should prioritize increasing workers' awareness of hazards through education and fostering a positive safety mindset. Moreover, they should task frontline supervisors with directly addressing and rectifying instances of unsafe behavior by workers. Lastly, construction safety managers ought to formulate safety strategies that take into account the cognitive states of workers to mitigate any adverse consequences of biased safety management. The outcomes of this research contribute to our comprehension of methods to enhance hazard perception among workers, curtail unsafe actions, and ultimately reduce construction accidents from a cognitive standpoint.

• Safety and Health at Work
• /
• 제15권3호
• /
• pp.300-309
• /
• 2024

Background: Risk perception plays a crucial role in workers' unsafe behaviors. However, little research has explored why workers generate biased risk perceptions, namely underestimating or overestimating the risks of unsafe actions. Cognitive biases in risk perception arise from uncertainties about the dangers of unsafe behaviors. As a typical heuristic strategy, the anchoring effect is critical in decision-making under uncertain conditions. Consequently, this study empirically analyzed the influence of anchoring effects on workers' risk perception. Methods: In 2022, a survey was conducted with 1,418 coal mine workers from Shanxi Province, China. The survey instruments assessed workers' risk perception of unsafe behavior, anchoring effects, need for cognition, and safety knowledge. Multivariable linear regression models were employed to analyze the associations among these variables. Results: The findings verified the proposed anchoring effects. Specifically, experimenter-provided high-risk anchors led workers to overestimate unsafe behavior risks, thus reducing their tendency to engage in such behavior. In contrast, experimenter-provided low-risk anchors and accident-injury experiences (self-generated anchors) decreased workers' risk perception, increasing their propensity to engage in unsafe behavior. Additionally, workers' safety knowledge and need for cognition significantly affected anchoring effects. Conclusion: This research enhances workplace safety studies by applying the anchoring effect from psychology to risk perception research. Suggestions for improving risk perception encompass implementing hazard warnings, fostering safety education, and providing training. Furthermore, managers should give special attention to workers with accident-injury experience and promptly correct their accident fluke mentality, thereby improving overall risk awareness.

• 한국가스학회지
• /
• 제26권3호
• /
• pp.1-9
• /
• 2022

화학공장에서 발생하는 사고의 발생원인은 다양하지만, 전 세계적으로 발생되는 산업재해의 96%는 근로자의 불안전행동에 의해 발생된다. 국제노동기구(International Labour Organization, ILO)에서는 근로자의 불안전행동에 의한 사고의 위험성을 경고하기 위하여 산업현장에서 다발적으로 발생하는 근로자의 불안전 행동을 20개의 요소로 구분하여 발표한 바 있으며, 산업재해 예방을 위해서는 근로자의 불안전행동을 제어하여야 한다고 강조하고 있다. 본 연구에서는 근로자의 불안전행동을 관리할 수 있는 방법을 알아보기 위하여 국내사업장의 사고조사 이력 정보를 토대로 현장에서 다발적으로 발생하는 주요 불안전행동 유형을 분석 하였다. 주요 불안전행동 분석 결과를 기반으로 Swiss Cheese Model을 이용하여 불안전 행동을 유발하는 근본원인을 분석하였으며, 각 근본원인별 관리방법을 제안하였다.

• Journal of Preventive Medicine and Public Health
• /
• 제56권6호
• /
• pp.552-562
• /
• 2023

Objectives: Adolescents who engage in unhealthy behaviors are particularly vulnerable to anxiety. We hypothesized that participation in physical activity could influence the relationship between anxiety and unhealthy behaviors in adolescents. These behaviors include smoking, alcohol consumption, and unsafe sexual activity. Methods: This study included 50 301 students from the first year of middle school to the third year of high school, all from Korea. The unhealthy adolescent behaviors examined included current alcohol consumption, current smoking, and unsafe sexual behavior. Anxiety levels were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7). Results: The participants had a mean age of 15.19 years and an average GAD-7 score of 4.23. No significant differences were observed in GAD-7 score among exercising participants when categorized by smoking status (p=0.835) or unsafe sexual behavior (p=0.489). In contrast, participants in the non-exercise group who engaged in these behaviors demonstrated significantly higher GAD-7 scores (p<0.001 and 0.016, respectively). The only significant interaction was found between unsafe sexual behavior and exercise (p=0.009). Based on logistic regression analysis, within the non-exercise group, significant positive associations were observed between current smoking and anxiety (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.18 to 1.57), as well as between unsafe sexual behavior and anxiety (OR, 1.33; 95% CI, 1.02 to 1.73). However, within the exercise group, no significant association was found between anxiety and either smoking or unsafe sexual behavior. Furthermore, no significant interaction was observed between unhealthy behaviors and exercise. Conclusions: These findings are insufficient to conclude that physical activity influences the relationship between unhealthy behaviors and anxiety.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 2007년도 추계학술대회
• /
• pp.107-119
• /
• 2007

The purpose of this article is to examine the relationship between unsafe behavior, human factor and human error. For the object, several correlation analyses for those three elements were implemented. Several hypotheses for the relationship between them was suggested. The suggested hypotheses were verified by a comprehensive survey received from 132 safety manager of manufacturing industry. The conclusions were proven from the hypotheses verificaiton as belows; 1) The dependent relation items between unsafe behavior and human factor are dress protection tool, machine(equipment) and working rule have a dependent relation. 2) The dependent relation items between human factor and human error are uncommunication, control, slaps, fatigue, education, system, unmonitoring, failure. 3) The dependent relation items between human error and unsfafe behavior are decline and product/working method,failure and uncommunication have a dependent relation.

• 대한안전경영과학회지
• /
• 제12권3호
• /
• pp.21-26
• /
• 2010

This study compared the effects of praise and punishment for improving safety behaviors. Participants were 30 volunteer undergraduate students and they were randomly assigned to one of two experimental conditions: (1) praise under which positive feedback was delivered for safe behaviors, (2) punishment under which negative feedback was delivered for unsafe behaviors. A simulated computerized work task was developed specifically for this study. Participants had to work on the work task and follow seven safety rules while working. When they follow all the seven safety rules, their behaviors were considered safe. If they did not follow any one of the rules, their behaviors were considered unsafe. Results showed that the percentage of safe behavior under group of praise feedback was significantly higher than under group of punish feedback.

• 한국재난정보학회 논문집
• /
• 제18권2호
• /
• pp.343-350
• /
• 2022

연구목적: 2007년 발생한 태안 기름유출사고는 우리에게 커다란 교훈을 주었으며 사회적 재난의 대표적 사례이다. 자원봉사자의 눈부신 헌신과 봉사를 통해 극복했다. 그러나 자원봉사 이면에는 유출된 기름에 직간접적으로 노출되어 두통 등 건강장해와 안전사고가 발생하였다. 안전사고는 불안전한 행동에 기인하였고, 불안전한 행동은 안전의식의 결여 또는 무지에서 왔다. 자원봉사자에 대한 체계적인 안전의식 고취를 위한 교육훈련 프로그램을 산업안전보건법과 연계하여 찾고자 한다. 연구방법: 산업안전보건법과 해안방제와 관련한 법률 그리고 과년도 산업재해통계의 불안전 행동 요인을 중심으로 파악하였다. 연구결과: 해안방제에 투입되는 자원봉사자에 대하여 실시하여야 할 교육내용과 교육 시간을 산업안전보건법의 근로자와 대비하여 제시하였다. 결론: 자원봉사자와 자원봉사 관리자에 대한 안전보건교육은 안전의식과 직결하고 불안전한 행동을 방지할 수 있다.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.361-369
• /
• 2022

Unsafe actions and behaviors of workers cause most accidents at construction sites. Nowadays, occupational safety is a top priority at construction sites. However, this problem often requires money and effort from investors or construction owners. Therefore, decreasing the accidents rates of workers and saving monitoring costs for contractors is necessary at construction sites. This study proposes an unsafe behavior detection method based on a skeleton model to classify three common unsafe behaviors on the scaffold: climbing, jumping, and running. First, the OpenPose method is used to obtain the workers' key points. Second, all skeleton datasets are aggregated from the temporary size. Third, the key point dataset becomes the input of the action classification model. The method is effective, with an accuracy rate of 89.6% precision and 90.5% recall of unsafe actions correctly detected in the experiment.