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

• 한국안전학회지
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• 제33권5호
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• pp.101-108
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• 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.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3628-3638
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• 2023

This paper uses 135 Licensed Operator Event Reports (LOER) from Chinese nuclear plants to analyze how safety culture affects unsafe behaviors in nuclear power plants. On the basis of a modified human factors analysis and classification system (HFACS) framework, structural equation model (SEM) is used to explore the relationship between latent variables at various levels. Correlation tests such as chi-square test are used to analyze the path from safety culture to unsafe behaviors. The role of latent error is clarified. The results show that the ratio of latent errors to active errors is 3.4:1. The key path linking safety culture weaknesses to unsafe behaviors is Organizational Processes → Inadequate Supervision → Physical/Technical Environment → Skill-based Errors. The most influential factors on the latent variables at each level in the HFACS framework are Organizational Processes, Inadequate Supervision, Physical Environment, and Skill-based Errors.

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

• 한국건설관리학회논문집
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• 제18권2호
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• pp.38-48
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• 2017

건설재해의 직접적인 원인은 작업자의 불안전한 행동과 작업장의 불안전한 상태로 분류할 수 있다. 그러나 작업자의 불안전한 행동의 원인은 불안전한 상태에 비해 상대적으로 발견이 어렵다. 왜냐하면 불안전한 행동은 개인의 인지과정을 거쳐 순식간에 발생하기 때문이다. 따라서 작업자 인지과정모델을 통해 불안전한 행동의 원인을 밝히고 그 관리방안을 밝히는 것이 본 연구의 목적이다. 작업자의 인지과정모델을 개발하기 위해 피드백 관계를 규명하기에 알맞은 시스템 다이내믹스 방법론을 사용하였다. 개발된 인지과정모델은 작업자가 위험을 인식하지 못하는 그 상황 자체의 위험성에 대하여 강조하였으며 작업자가 위험을 인식 하였더라도 불안전한 행동을 할 수 있음을 나타냈다. 또한 불안전한 행동이 바로 사고로 이어지지 않는다는 습관은 작업자의 안전에 대한 부정적 태도인 태도로 이어진다는 점에 대해서도 규명하였다. 이러한 분석은 건설현장의 안전관리자가 작업자의 인지상태를 관리하는데 도움이 될 것이다.

• 대한안전경영과학회지
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• 제12권3호
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• pp.21-26
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• 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.

• Nuclear Engineering and Technology
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• 제54권3호
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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.

• 한국건설관리학회논문집
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• 제24권6호
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• pp.91-98
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• 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.

• 한국건설관리학회논문집
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• 제20권4호
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• pp.69-76
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• 2019

본 연구는 토사운반작업이 실행되는 현장에 충돌위험구역을 설정하고 작업자의 불안전한 행동을 아차사고수준에서 식별하는 영상분석 방법론을 제시한다. 컴퓨터 비전기술을 건설안전관리에 활용하는 데 있어 큰 걸림돌이 되어 온 위험발생 이벤트를 연구자가 원하는 시나리오대로 재현하기 용이하도록 게임엔진을 활용하는 방법을 제시한다. 본 연구는 기존 연구들이 불안전한 조건을 결정론적으로 가정하는 접근방식과 달리, 현장여건에 따라 위험구역이 변화되는 상황을 현실적으로 반영하는 방법을 제시한다. 본 방법론은 선행연구들이 간과한 불안전한 조건과 행동을 구분하는 방법을 제시하고 사고가 발생되는 인과관계를 반영하였다. 사례연구는 덤프트럭에 의해 제공된 불안전한 조건하에서 작업자의 불안전한 행동을 아차사고 수준에서 관측하는 방법과 중점관리 대상이 되는 위험구역을 결정하는 방법을 규명하였다.

• Safety and Health at Work
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• 제12권3호
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• pp.339-345
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• 2021

Background: Some researchers state that they are not yet able to provide a deep understanding of the underlying causes of unsafe behaviors (UBs). Therefore, the present study was conducted to investigate the attitudes and experiences of Iranian workers of UBs. Methods: This present study was conducted in 35 industries using a semistructured interview based on grounded theory. Forty participants were interviewed, including 13 industrial safety and health experts and 27 workers and supervisors. The analysis of the present study consisted of a three-step coding process including open, axial, and selective coding. Results: The results showed that the factors affecting UBs could be classified into three categories: organizational, individual, and socioeconomic factors. Organizational factors were divided into 6 parts: procedure and environmental conditions, communications, monitoring, organizational safety culture, resource allocation, and human resources. Socioeconomic factors had three subcategories: community safety culture, type of organizational ownership, and economic problems. Finally, the individual factors were classified into two categories of personality traits and individual competence. Conclusion: The results showed that organizational factors were the most categorized, and it is estimated that this factor has a more important role in the UBs. Of course, to better understand the close relationship between these factors and find the weight and importance of each factor, it needs to measure it with multicriteria decision systems.