• Journal of the Ergonomics Society of Korea
• /
• v.29 no.2
• /
• pp.241-248
• /
• 2010

In accident analysis, it is essential to understand the causal pathways of the accident. Although numerous accident models have been developed to help analysts understand how and why an accident occurs, most of them do not include all elements related to the accident in various fields. Thus analysis of human error accidents in railway operations using these existing models may be possible, but inevitably incomplete. For a more thorough analysis of the accidents in railway operations, a more exhaustive model of accident causation is needed. This paper briefly reviews four recent accident causation models, and proposes a new model that overcomes the limitations of the existing models for the analysis of human error accidents in railway operations. In addition, the usefulness and comprehensiveness of the proposed model is briefly tested by explaining 12 railway accident cases with the model. The proposed accident causation model is expected to improve understanding of how and why an accident/incident occurs, and help prevent analysts from missing any important aspect of human error accidents in railway operations

• Nuclear Engineering and Technology
• /
• v.44 no.3
• /
• pp.311-322
• /
• 2012

Since the crisis at the Fukushima plants, severe accident progression during a station blackout accident in nuclear power plants is recognized as a very important area for accident management and emergency planning. The purpose of this study is to investigate the comparative characteristics of anticipated severe accident progression among the three typical types of nuclear reactors. A station blackout scenario, where all off-site power is lost and the diesel generators fail, is simulated as an initiating event of a severe accident sequence. In this study a comparative analysis was performed for typical pressurized water reactor (PWR), boiling water reactor (BWR), and pressurized heavy water reactor (PHWR). The study includes the summarization of design differences that would impact severe accident progressions, thermal hydraulic/severe accident phenomenological analysis during a station blackout initiated-severe accident; and an investigation of the core damage process, both within the reactor vessel before it fails and in the containment afterwards, and the resultant impact on the containment.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2010.05a
• /
• pp.179-183
• /
• 2010

The safety accident is one of the formidable issues in construction field, and in order to prevent safety accident, contractors perform safety education, safety control document, meeting with labors, and safety instruction in construction phase. However, safety accident is occurred continuously, it is needed to analyze which factors are affected to safety accident. day of the week, daily construction cost, and daily work task were selected as those factors. The result in this research represented that those factors were not considered as an critical one in safety accident. Because of approach limitation to safety accident, only two case studies were collected. If more safety accident cases are gathered in future study, it will clarify the cause of safety accident and will prevent safety accident.

• Nuclear Engineering and Technology
• /
• v.50 no.4
• /
• pp.562-569
• /
• 2018

Recently, human errors have very rarely occurred during power generation at nuclear power plants. For this reason, many countries are conducting research on smart support systems of nuclear power plants. Smart support systems can help with operator decisions in severe accident occurrences. In this study, a smart support system was developed by integrating accident prediction functions from previous research and enhancing their prediction capability. Through this system, operators can predict accident scenarios, accident locations, and accident information in advance. In addition, it is possible to decide on the integrity of instruments and predict the life of instruments. The data were obtained using Modular Accident Analysis Program code to simulate severe accident scenarios for the Optimized Power Reactor 1000. The prediction of the accident scenario, accident location, and accident information was conducted using artificial intelligence methods.

• Proceedings of the Safety Management and Science Conference
• /
• 2011.04a
• /
• pp.177-183
• /
• 2011

Korea has performed strategies for the third industrial accident prevention in order to minimize industrial accident. However, the occupational fatality rate and industrial accident rate appears to be stagnated for 11 years. Therefore, this paper forecasts the occupational fatality rate and industrial accident rate for 10 years. Also, this paper applies regression method (RA), exponential smoothing method (ESM), double exponential smoothing method (DESM), autoregressive integrated moving average (ARIMA) model and proposed analytical function method (PAFM) for trend of industrial accident. Finally, this paper suggests fundamental strategies for industrial accident prevention by forecasting of industrial accident rate in the long term.

• Journal of the Korea Safety Management & Science
• /
• v.3 no.2
• /
• pp.105-112
• /
• 2001

This study concerns with the accident characteristics and prevention in small manufacturing industries of chemical products. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. One hundred and seven injury accidents which results in more than 4 days absence were surveyed from the manufacturing companies with under 100 employees. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injury type, injured body Part, and accident agency We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in small manufacturing industries of chemical products.

• Journal of Auto-vehicle Safety Association
• /
• v.13 no.4
• /
• pp.106-113
• /
• 2021

In this study, The behavior of an autonomous vehicle in an intersection accident situation is predicted. Based on a representative intersection accident situation from actual intersection accident database, simulation was performed by applying the automatic emergency braking algorithm used in the autonomous driving system. Accident reconstruction was performed based on the accident report of the representative accident situation. After applying the autonomous driving system to the accident-related vehicle, the tendency of intersection accidents that may occur in autonomous vehicles was identified and analyzed.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.51
• /
• pp.199-210
• /
• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.1D
• /
• pp.133-140
• /
• 2006

This paper suggests to reclassify railroad accident types and to standardize them as the standardized code for the railroad safety management system. The existing railroad accident types in both domestic and foreign cases have been carefully analyzed in the beginning. Based on the case studies, the new railroad accident types are classified into 9 classes which are not overlapped one another and 9 classes have been subdivided into 40 different accident patterns. All these patterns are linked with 9 different accident objects and 6 accident locations. Therefore, this study suggested the combination of 4 distinct code factors: accident class, accident pattern, accident object, and accident location to standardize them. In addition, inter-operation between the proposed codes and the existing accident types is suggested. This code will play a major role in the railroad safety management system composed of accident prevention, accident preparedness, accident response, and accident recovery.

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