• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.122-128
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• 2017

Korean government announced long-term railway safety investment plan for the safety improvement by 2020. But no research have been done about differential analysis on railroad safety investment and safety improvement. In this study, recent 10 year data on safety investments and accident data are analysed for the differential analysis. Three main safety investments are analysed on regard to accident rate and accident fatalities. Three safety measures include level crossing accident, platform fatalities, and track trespass fatalities. About 90% of railway accident fatalities are caused by these three kind of accidents. Differential analysis shows about 4 to 6 years delay after railroad safety investment and safety improvement. This result can be utilized for the decision making on safety measures and safety target. Which required long term approach.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.55-60
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• 2020

The purpose of this study is to analyze the influence of the economic and workforce factors on the annual number of occupational accident fatalities occurring at the construction sites. The considered variables of the economic factor are the amount of economic losses caused by industrial accidents, the GDP, and the total monthly wage for each economically active population. And, the variables related to the workforce factor are the number of economically active population, the number of female economically active population, and the number of labor union members. The multiple regression analysis was conducted to determine the effect of two factors on the total number of occupational fatalities in the construction industry. The results show that GDP among considered variables in the economic factor had a statistically significant negative relationship with the number of the construction accident fatalities in the construction industry. Among variables related to the workforce factor, economically active population showed a statistically significant negative relationship with the number of the construction accident fatalities.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.47-54
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• 2020

The purpose of this study is to determine whether the variables of the agency factors affected the number of occupational fatalities in the construction industry in order to determine whether there is a relationship between the number of occupational fatalities occurring at the construction sites and the agency. The considered agencies are KOSHA (Korea Occupational Safety and Health Agency) and MOEL (Ministry of Employment and Labor). The variables of two agency factors are classified as follows: the variables of two agency factors are the number of employees, budget amounts, technical support and guidance for construction sites of KOSHA, and the number of labor inspectors, the number of inspection and oversight workplace, the number of criminally punished construction sites and fines levied on them in the industrial accident prevention departments of Regional Employment and Labor Office. The multiple regression analysis was conducted to determine the effect of two agency factors on the total number of occupational fatalities in the construction industry. The policy implications derived from this study are that, in order to reduce the fatalities of construction sites by KOSHA, the appropriate level of increased budget for KOSHA must be secured every year. In addition, the amount of fines levied on construction sites by the labor inspector in the industrial accident prevention departments of Regional Employment and Labor Office reduces the occupational fatalities at the construction sites.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.113-123
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• 2006

This article evaluates the effects of eight traffic safety policies such as traffic accident reduction campaign, the seat belt law, three strike out driving while intoxicated, rewarding for reporting traffic offenders on the number of accidents and fatalities. Intervention analysis of time series is used to compare the monthly accident and fatalities with the before and after reinforcement. The results indicate that no significant impact of the traffic enforcement measures on reducing the number of accidents and fatalities.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.763-767
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• 2011

As accident rate have been reduced into half since 2005, no train accident fatality occurred in recent year. Level crossing accident also been reduced that no more than 5 fatalities occurred every year. As a result 98% of accident fatalities occurred in station and track. So railway station safety measures are more and more important but only few research have been done on railway station safety. In this study status on safety measures on railway stations are reviewed and basic research have been done based on expert interview for the development of new safety measures.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.21-27
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• 2012

This study deals with the relationships between signal operation and traffic accident of signalized intersections. The objective of this study is to analyze the traffic accident reduction effects on the operation of all-red clearance interval (ARCI). This study gives particular attentions to evaluating the traffic accident reduction effects of ARCI at 37 signalized intersections in Cheongju using before-after evaluation with comparison group. The main results are as follows. First, the number of traffic accidents, fatalities and injuries has changed before operating ARCI and thereafter. Second, the result of before-and-after evaluation with comparison group showed that the number of accidents was reduced by 20.0% and that the number of fatalities and injuries was reduced by 28.0%. Finally, reduction effects from operating ARCI were evaluated to be 6.0~35.0% in the number of accidents and 18.0~37.0% in the number of fatalities and injuries.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.13-20
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• 2022

Road conditions and weather conditions are very important factors in the case of traffic accident fatalities in fog and ice sections that occur on roads in winter. In this paper, a simulation was performed to estimate the traffic accident risk rate assuming traffic accident prediction data. In addition, in this paper, in order to reduce traffic accidents and prevent traffic accidents, factor analysis and traffic accident fatality rates were predicted using the WEKA data mining technique and TENSOR FLOW open source data on traffic accident fatalities provided by the Korea Transportation Corporation.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.25-36
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• 1992

A possible adverse effect on the likelihood of front-seat occupant fatalities from unbelted rear-seat occupants in frontal crashes is investigated using Fatal Accident Reporting System data. Passenger cars which sustained frontal damage and which did not roll over are included in this analysis. Of the frontally damaged cars, only cars containing a driver and a right-front passenger are selected. Then, from these cars, the following three cases are considered: a) left-rear occupant present, b) right-rear occupant present, and c) no one else in the car. Cars belonging to a) or b) contain only three occupants, and those belonging to the last case contain only two occupants. In addition, all occupants are unbelted. To estimate the influence of rear-seat occupants on front-seat occupant fatalities, relative risks of driver and right-front passenger fatalities are compared pairwise across these three cases. The adverse influence of unbelted rear-seat occupants on the likelihood of unbelted front-seat occupant fatalities in frontal crashes is estimated to be 7.9% ${\pm}$ 45%(the error limits indicate one standard error). In other words, front-seat occupant fatalities are increased 7.9% in frontal crashes due to the loadings from unbelted rear-seat occupants. This suggests that the usage of safety belts by rear-seat occupants not only may extend their own lives but also helps in reducing the fatalities of front-seat occupants seated in front of them.

• 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.

• 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; $$disti_i=-0.87-0.11offseti_i+0.69speed_i-4.27height_i+0.004walk_i+0.63wet_i+{\epsilon}_i$$.