• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.38-48
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• 2017

Finding causes of workers' unsafe behaviors is important to prevent construction accidents because 80 percent of accidents occur by workers' unsafe behaviors. In this regard, this research aims to investigate possible reasons of workers' unsafe behaviors based on workers' cognitive process model using System dynamics. This study is based on two ways of workers' cognitive process which are in relation to hazard perception and failure of hazard perception. Based on existing literature, causal loops for workers' cognitive process are developed to explain workers' habituation by staying out of accidents, safety learning by experience, failure of hazard perception, and attitude change by accidents. The interactions between the developed loops provide managerial insights to reduce workers' unsafe behaviors from a safety manager's perspective including increasing the probability of workers' hazard perception through knowledge management, maintaining workers' positive attitude toward safety, and controlling first-line supervisors to eliminate workers' unsafe behavior. The research allows us to better understand the causes and solutions of workers' unsafe behaviors in workers' cognitive perspectives.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.69-76
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• 2019

This paper presents a method that identifies the unsafe behaviors at the level of near-misses using image analysis. The method establishes potential collision hazardous area in earthmoving operation. It is implemented using a game engine to reproduce the dangerous events that have been accepted as major difficulty in utilizing computer vision technology to support construction safety management. The method keeps realistically track of the ever-changing hazardous area by reflecting the volatile field conditions. The method opens a way to distinguish unsafe conditions and unsafe behaviors that have been overlooked in previous studies, and reflects the causal relationship which causes an accident. The case study demonstrate how to identify the unsafe behavior of a worker exposed to an unsafe area created by dump trucks at the level of near-misses and to determine the hazardous areas.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.19-33
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• 2008

The study on semiconductor industrial accident in korea has been focused on frequencies of each type, employee, characteristics, cause and un-safety condition, behaviour and so on. Those attributes of semiconductor industrial accidents were usually analyzed independently, so that it was hard to provides a well-process and systematic guide lines for efficient safety management. There fore, there were a few studies based on comprehensive survey in terms of sharp-type of safe management. The questionnaire survey carried out for the workers(284) who were responsible for safety management in to center with corporate company with semiconductor industry the factor analysis showed that there were three factor of safety management. They were 1) Investment and operation and management for accident prevention, 2) Unsafe, safety management 3) General human error and behavior the industries of respondents were correlative with three group. Three Groups showed a statistically significant differences on the number of cases. Actually, the group with the larger investment and the better unsafe cause, human error a of accident prevention had a smaller cause of accident cases.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1271-1276
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• 2017

산업이 고도화되고 기술발전이 가속화되고 있지만, 생산현장에서의 사고와 재해는 아직까지도 지속적으로 발생하고 있다. 이는 시스템의 대규모화, 복잡화, 다양화 등에 따라 나타나는 불안전한 상태(unsafe condition)와 근로자의 안전불감증, 낮은 학습효과, 안전문화 비활성화 등을 포함하는 불안전한 행동(unsafe behavior)에 기인한다. 최근 4차 산업혁명이 대두되면서, 인간과 기계 시스템 사이의 상호작용이 활발해지고, 데이터 가용성과 알고리즘 우수성이 확보되면서, 산업현장에서도 시스템과 공정안전을 위해 최신 기술을 활용하려는 시도가 시작되고 있다. 궁극적으로는, 품질 관리, 고장분석, 작업환경관리, 보건관리 등 생산관리의 다양한 범위에 새로운 산업안전혁신을 가져올 것으로 기대된다. 본 논문에서는 사물인터넷, 드론, 인공지능 등 4차 산업혁명 시대의 하드웨어와 소프트웨어의 결합의 사례를 통해 안전한 생산현장은 물론 신뢰성할 수 있는 공공 및 사회를 위한 지능형 시스템 구축의 필요성을 제시하고자 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.11
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• pp.761-767
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• 2019

In the present study, analyses of initial behavior of an air-launched projectile for varying initial conditions are performed by coupling computational fluid dynamics and 6 degrees of freedom calculations. Accuracy of the present numerical methods is validated by comparing the present result with the measured data. Launching safety analyses are carried out for various ejecting conditions by considering weight of the projectile and magnitude of front and rear ejector forces as the major parameters of initial behavior of the projectile. A response surface of the projectile launching safety is obtained in the range of the major parameters. In all the conditions of zero rear ejector force, unsafe launching behavior is observed. As the weight of the projectile decreases, the initial launching behavior becomes more unsafe.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.22
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• pp.71-78
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• 1990

Some problems to assess the safety of automated man-machine system are studied in many ways. The difficulty occurred in this system is the vagueness of human behavior. Fuzzy set theory is used to assess the human behavior in safety analysis. The unsafe behavior listed top 10 in accident statistics would be explained as the factors of human vagueness. Three cases are considered, which consist of man-machine system as man-man, man-machine, machine-machine types. For the design of safe task, using characteristics of work performance, each motion cycle time is required to know the rate of learning. Approach of human behavior to the standard motion means more safe motion. It is important to design the works as to minimize the time performance to the standard motion's, which utilize the control of risk potential with easy. In that process, use of fuzzy set theory is appropriate to analyze the human behavior to identify its vagueness.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.786-794
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• 2022

In construction sites, effective preventive safety management is required beyond post-processing safety management. Purpose: The purpose of this study is to present a model and analyze the relationship between safety management activities, safety culture key elements, safety, unsafe behavior management, and safety for autonomous and preventive safety management. Method: The relationship was analyzed by applying the survey data to the structural equation, and the path to safety outcomes from exogenous variables was explored and major issues were presented by interpreting the part suggested by the hypothesis verified by the analysis results. Result: As a result of analyzing the preliminary model and the path model, the appropriate model fit was confirmed, and the significant effect of exogenous variables on endogenous variables was confirmed. Conclusion: It is judged that it can contribute to continuously improving safety performance before safety accidents occur through safety management activities, safety and unsafe behavior management, and management of key elements of safety culture.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.111-114
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• 1995

As modern industrial technologies progress, critical incidents (both conventional and new) occur as well. Although majority of these safety incidents are human-related, or human factors problems, industrial systems and/or occupational safety operations are often designed without seriously considering important roles of human factors in industrial safety. The purpose of this paper is to show how a human factors approach can contribute to industrial safety. The paper introduces a systems safety concept with some useful analysis techniques for proactively preventing human-related safety problems. A behavior-based safety analysis approach to modify hyman behavior is suggested to reduce unsafe behavior and promote safe behavior. Finally, a sound human factors/ergonomics program is recommended for management to establish a hazard-free work environment. Some current and future research issues are discussed.

• Computers and Concrete
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• v.12 no.4
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• pp.393-411
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• 2013

In the analysis and design of reinforced concrete frames beam-column joints are sometimes assumed as rigid. This simplifying assumption can be unsafe because it is likely to affect the distributions of internal forces and moments, reduce drift and increase the overall load-carrying capacity of the frame. This study is concerned with the relevance of shear deformation of beam-column joints, in particular of exterior ones, on the quasi-static behavior of regular reinforced concrete sway frames. The included parametric studies of a simple sub-frame model reveal that the quasi-static monotonic behavior of unbraced regular reinforced concrete frames is prone to be significantly affected by the deformation of beam-column joints.

• Management & Information Systems Review
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• v.31 no.4
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• pp.397-432
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• 2012

The purpose of this study is Big Five personality factors of personality type on career behavior, that is, entry to the unsafe first job in Korean university students. To accomplish this research objective, this study collected data from 500 students in three universities and two colleges located in the Chungcheong region. Among 350 questionnaires, 342 copies were used for a final analysis. In order to analyze the survey data, statistical package program SPSS/WIN 18.0 was utilized and statistical techniques such as basic statistical analysis, factor analysis, Cronbach's alpha, correlation analysis, and multiple regression analysis were used. The results obtained in this study can be summarized as follows. The extraversion personality and agreeableness personality of college students has a significant effect on the entry to the unsafe first job in the positive direction. On the other hand, the neurotic personality and openness to experience has a significant effect on the entry to the unsafe first job in the negative direction. However, the integrity personality of college students was not statistically significant. Finally, based on the empirical results we suggested several theoretical and practical implications.