• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2483-2491
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• 2013

In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

• Korean Institute of Interior Design Journal
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• v.20 no.3
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• pp.242-248
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• 2011

According to a study on the accident patterns of older people in 2006 by Korea Consumer Agency (CISS), the number of accidents of the elderly at home reached 486, and the figure has increased every year. As Korea is about to enter into the aged society, it is important to investigate the factors that cause an accident in the welfare facilities for the aged and establish the barrier-free construction standards. The accident influence factors include facility environmental, physical functional, socio demographic and socio psychological factors. In terms of the verification tools, there are Facility Evaluation Index, FIM, MMSE-K and General Feature. In terms of analysis method, in addition, there are real number, percentage, t-test, ANOVA and logistic regression. In conclusion, this paper attempts to reveal correlations among the accident influence factors using the Facility Evaluation Standards (115 items in total) for facility environmental factor, FIM (3 items) for physical functional factor, MMSE-K (6 items) for socio psychological factor and questionnaire (5 items) for socio demographic factor.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.9-17
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• 2000

For the accident prevention, it is necessary to identify common factors and characteristics contributing to the industrial accidents. This study concerned with the accident characteristics by age of injured person in the manufacturing industries. To make the statistical comparisons for the accident characteristics by age group, we derived the distributions of occupational injuries in terms of accident time, accident type, activity at time of accident, injury type, injured part of body, agency of accident, and workday losses. The results show that the characteristics of the occupational injuries by age group are not significantly different in a31 characteristics investigated in this study.

• Journal of Power System Engineering
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• v.13 no.2
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• pp.56-62
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• 2009

The fatalities of pedestrian account for about 40.0% of all fatalities in Korea 2005. Vehicle-Pedestrian accident generates trajectory of pedestrian. In pedestrian involved accident, the most important data to inspect accident is throw distance of pedestrian. The throw distance of pedestrian can be influenced by many variables. But existing studies have been done for simple factors. The variables that influence trajectory of pedestrian can be classified into vehicular factors, pedestrian factors, and road factors. The trajectory of pedestrian, dynamic characteristics of multi-body were analyzed by PC-CRASH, a kinetic analysis program for a traffic accident. PC-CRASH enables an analyst to investigate the effect of many variables. The influence of the offset of impact point was analyzed by Working Model. Based on the results, the variables that influence trajectory of pedestrian were vehicular frontal shape, vehicular impact speed, the offset of impact point, the height of pedestrian, friction coefficients of pedestrian. However the weight of pedestrian did not affect trajectory of pedestrian considerably.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.3
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• pp.104-109
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• 2010

The fatality of pedestrian accounts for about 21.2% of all fatality at 2007 year in Korea. In car to pedestrian accident it is very important to inspect the throw distance of pedestrian after collision for exact reconstructing of the accident. The variables that influence on the throw distance of pedestrian can be classified into the factors of vehicle and pedestrian, and road condition. It was simulated by PC-CRASH, a kinetic analysis program for a traffic accident in sedan type vehicle and SPSS program was used for regression analysis. From the results, the throw distance of pedestrian increased with the increasing of vehicle velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and throw distance at the road condition of wet was longer than that at dry condition. Finally, the regression model of sedan type vehicle on the throw distance of pedestrian was as follows; $$dist_i=2.39-0.11offset_i+0.59speed_i-545height_i-0.25walk_i+2.78wet_i+{\epsilon}_i$$.

• Journal of Power System Engineering
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• v.13 no.5
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• pp.76-81
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• 2009

The fatalities of pedestrian account for about 21.2% of all fatalities at 2007 year in Korea. To reconstruct exactly the accident, it is important to calculate the throw distance of pedestrian in car to pedestrian accident. The frontal shape of SUV vehicle is dissimilar to passenger car and bus, so the trajectory and throw distance of pedestrian by SUV vehicle is not the same of passenger car and bus. The influencing on it can be classified into the factors of vehicle and pedestrian, and road factor. It was analyzed by PC-CRASH for simulation, and SPSS s/w was used for regression analysis. From the simulation results, the maximum impact energy of multi-body of pedestrian was occurred to that of torso body at the same time. And the throw distance increased with the increasing of impact velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and the throw distance of wet road was longer than that of dry road. Finally, the regression analysis model of SUV(Nissan Pathfinder type)vehicle in car to pedestrian accident was as follows; $$disti_i=-0.87-0.11offseti_i+0.69speed_i-4.27height_i+0.004walk_i+0.63wet_i+{\epsilon}_i$$.

• Journal of the Korean Society of Safety
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• v.36 no.4
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• pp.62-70
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• 2021

Representative systematic accident analysis methods proposed so far include AcciMap, STAMP, and FRAM. This study used these three techniques to analyze a fire accident case that occurred during routine manufacturing work in a domestic chemical plant and compared the results. The methods used different approaches to identify the cause of the accident, but they all highlighted similar causal factors. In addition to technical issues, the three accident analysis methods identified factors related to safety education, risk assessment, and the operation of the process safety management system, as well as management philosophy and company culture as problems. The AcciMap and STAMP models play complementary roles because they use hierarchical structures, while FRAM is more effective in analyses centered on human and organizational functions than in technical analyses.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.246-251
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• 2005

Accident scenarios analysis is a course to understand, analyze, and describe a process of an accident and behavior pattern of the parties to an accident. The method of accident scenarios is that we described patterns represented between accidents and hazardous conditions, and then provide data to prevent the accident. We have carried out scenarios analysis in various fields so far, but it was not taking account of system. In this research, we made a study on technology of accident scenarios analysis using QFD (Quality Function Deployment) to analyze systematically and evaluate quantitatively types of hazards and scenarios of railway accident. And we analyses accident scenarios of a subject of work-related fatality accident to railway employee and conducted risk assessment for different scenarios. Also we defined relation between unsafe events and hazardous conditions caused to work-related fatality accident, and attempted to quantitatively assess work-related fatality accident and the parties to accidents. The results of this research will be used in analyzing for important causes and contributing factors of work-related fatality accidents at the step of risk assessment of railway system, and quantitatively assessing frequency of work-related accidents and risk.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.63-64
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• 2018

The construction industry is one of the most prolific disaster-prone industries, particularly those that suffer from falling disasters compared to other industries. The safety accident at the construction site leads to social problems caused by massive loss of life and property, so it needs to be extra careful. The reason why falls are the most frequent accidents of the types of construction accidents is due to the analysis of the risk factors of safety accidents and the development of various construction methods. Therefore, in this study, the accident case for the fallen victims of construction site was analyzed and the risk factor was selected. Based on the safety expert survey, an importance analysis was performed. In conclusion, this study analyzes various risk factors that affect the occurrence of falls, identifies the importance of each factor, and presents basic data for safety accident prevention activities.

• Korea Trade Review
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• v.45 no.6
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• pp.45-54
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• 2020

Occurrence of accidents at a container terminal results in casualties and damages of equipments which are involved in the accidents, and affects the terminal operation. Therefore, analyzing factors affecting occurrence of accidents at a container terminal is important for efficient operation of the terminal. Most of existing studies analyzing factors of accidents have performed in a land transportation field. And most of existing studies in a maritime field have focused on developing risk assessment methods, rather than identifying factors of accidents. This study aims to analyze the factors affecting the damage level which was resulted from accidents at a container terminal in Busan, Korea. After a basic statistical analysis of the accident dataset which was occurred in the terminal, a linear regression model is applied to identify the factors which affect the damage level resulted from the accident. As a result of analysis, it is found that the more number of equipments, facilities and containers damaged from the accidents positively affect the damage level from the accidents, as well as dozing during working. The results of this study are expected to be a basic for developing safety management.