• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.216-230
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• 2023

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2004.04a
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• pp.238-244
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• 2004

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.77-85
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• 2019

Death accidents rates in construction industry is increasing high recently. Such a phenomenon may be seen as a limitation of current management methods and legal actions. Therefore, purpose of this study was to find priorities of construction Workers safety activities related to motivational factors and to check perception differences between construction workers and construction engineers and to find a main factor of workers attitude, behavioral causes and find a way to reduce the accidents causing in construction industry. For the research, we did a survey with construction workers and construction engineers asking about 3 top motivators 'economic, environmental, safety, cultural, and administrative factors' in 21 details. According to the survey, the biggest difference between construction workers and construction engineers was about a working environment and safety cultural factors. Also, workers and engineers were both positive about safety incentive. Based on the results of this study, safety accidents will be reduced through worker-oriented management.

• The Korean Journal of Air & Space Law and Policy
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• v.26 no.2
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• pp.149-179
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• 2011

Statistics of aviation accident in Korea show that safety level of training flights is high. However, more than 80% of aviation accidents happen owing to human factors. And because most reasons of them are concerned with pilot error, it is very important for student pilots who will transport a lot of passengers to develop the knowledge of safety and abilities of risk management for preventing accidents. In this study, in order to investigate the Human Factors which affect safety in training student pilots for flight, verified the correlationbetween experiences of accident, the differences according to the experience level of training flight and the differences between college student pilots and ordinary student pilots on the basis of human factors that composes the SHELL models. For the study, Using SPSS 17.0, conducted Correlation Analysis, Analysis of Variance(ANOVA) and t-test. To sum up the result of this study, student pilot's ability and equipment in the cockpit are the important factors for safety when pilots are training flight. Also the analysis of the differences between human factors according to the characters of student pilots' groups shows that college student pilots are affected by immanent factors and organizational cultures. So far, there haven't been any accidents which is related with human casualties when training at the ATO(Approved Training Organization). But accidents can occur at any time and anywhere. Especially the human factors which comprises most of aviation accident have a wide reach and are impossible to be eliminated, therefore, it is best to minimize them. Because ATO is the starting point to lead the aviation industry of Korea, we will have to be aware of problems and improve education/training of human factors.

• Fire Science and Engineering
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• v.24 no.6
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• pp.160-169
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• 2010

A firefighter is one of the most dangerous jobs. But in many precent studies, risk induction factors have been understood as direct accident causes and classification of the factors are not logical. This studies reviews risk induction risks and categorized them into institutional, cultural and personal experience factors. institutional factors, Institutional factors are composed of educational and working conditions. Cultural factors are composed of performance oriented and considerate parts. Personal experiences are divided into two parts: experiences about organizational members and about ordinary citizens. Survey showed that working conditions were recognized so poorly by firefighters.

• International Journal of Highway Engineering
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• v.13 no.2
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• pp.49-56
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• 2011

Understanding various casual factors affecting the occurrence of freeway traffic crash is a backbone of deriving effective countermeasures. The first step toward understanding such factors is to identify crash risks on freeways. Unlike existing studies, this study focused on the unsafe vehicle maneuvering that can be detected by in-vehicle sensors. The recent advancement of sensor technologies allows us to gather and analyze detailed microscopic events leading to crash occurrence such as the abrupt change in acceleration. This study used an accelerometer to capture the unsafe events. A set of candidate variables representing unsafe events were derived from analyzing acceleration data obtained by the accelerometer. Then, the crash risk was modeled by the binary logistic regression technique. The probabilistic outcome of crash risk can be provided by the proposed model. An application of the methodology assessing crash risk was presented, and further research items for the successful field implementation were also discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.102-111
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• 2012

Expresway traffic accident is fatal accident by high speed, especially human injury is a great social issue. This paper aims to identify characteristic differences of highway accidents that involve human injuries or not. To analysis the elements that affect the two types of accidents used the logistic regression model. The analysis showed that human injury accident rate is increased in case of straight road, flat, or cut-slope areas, barriers, male driver, and older driver. These results provide the ground for actions to counter the problems. By discovering factors for accidents leading to fatality, this study can provide important implications for authorities that establish highway safety measures and policies in preventing human injuries or deaths from car accidents.

• International Journal of Highway Engineering
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• v.10 no.2
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• pp.35-45
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• 2008

Trucking is the most frequently used mode for freight movement due to relatively lower shipping costs and its operational flexibility. However, truck traffic can contribute to serious safety problems where they occupy high percentage of the total traffic. Heavy truck crashes arc more likely to result in serious injuries and fatalities than are crashes involving light vehicles. Therefore, safety issues for truck traffic are very significant both for public agencies and for general travelers. The objective of our study is to find truck-involved accident patterns according to traffic conditions and main factors as well as to find the most critical factor through conventional statistical techniques. A vailable data were obtained from TASAS (Traffic Accident Surveillance and Analysis System). Once critical factors are identified, effective and efficient truck management strategies can be discussed.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.157-163
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• 2010

It is well known that weather conditions are closely related with the number and severity of traffic accidents. At present, installation of safety countermeasures including systems is common approach to reduce the damage of traffic accidents at expressways. In this study, the differences of causation factors to influence traffic accidents considering road alignment characteristics and weather conditions. In order to identify the relationship between road and weather conditions, discriminant analysis has been performed with 500 traffic accident data at expressways. Weather conditions are divided into several categories such as snow, sunny, rain, fog, and cloud. Also, road conditions such as types of pavements, grades are analyzed. As the results, major impacting road conditions to traffic accidents are concrete pavement and 3% or more down grades. In these road conditions, visible distance will be reduced and actual braking distances will be increased. This study shows that the expressway sections under concrete pavement and down grades should be more cautious than other sections. It also shows that fog condition is the mose dangerous situation in terms of traffic accidents.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.79-86
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• 2022

The purpose of this study was to identify suicidal ideation and related factors of elderly people with diabetes mellitus living alone in rural area. A descriptive study design was used. The participants were 466 elderly people, aged 65 years and over, and diagnosed with diabetes mellitus living at O province in South Korea. Collected data were analyzed using descriptive statistics, t-test, χ²-test, and logistic regression analysis with SPSS statistics 26.0 program. The results of the analysis showed that the suicidal ideation rate of the subjects was 27.3%, and the subjects showed significant differences in suicidal ideation as Cognitive function was lower (t=-4.23, p<.001), Depression(t=9.56, p<.001) and Loneliness (t=4.88, p<.001) were higher. Related Factors of suicidal ideation were Cognitive function (OR=0.86, p<.001), Depression (OR=1.18, p<.001) and Loneliness (OR=1.17, p=.001). These variables explained 32.2% of suicidal ideation. Therefore, in order to reduce suicide ideation of the elderly with diabetes mellitus living alone in rural areas, intervention that can improve Cognitive function, Depression, and Loneliness is needed.