• Journal of Advanced Navigation Technology
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• v.28 no.1
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• pp.77-86
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• 2024

'UAS flight recording system' is a system that is mounted on an unmanned aircraft system consisting of various components and records flight-related data. The data recorded by this system should be used for aviation accident and incident investigations to prevent similar accidents. In particular, for the category of UAS with high operating risk, safety devices close to that of manned aircraft are required, and it is urgent to develop flight recording systems reflecting the characteristics of the UAS to secure airworthiness. This paper highlights the need for UAS flight recording systems for aviation accident and incident investigations and seek a method to derive flight recording system parameters for 'Certified Category' with high operational risk. To this end, Inter-City UAM was used as a concrete use case, and the process of approaching system parameters was devised by assuming accident occurrences and hazards from mission profiles and scenarios. As a result of the study, it was confirmed that parameters could be derived through this process.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.81-90
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• 2009

The safety management of a road network comprises four basic inter-related components：identification of sites(black spot) requiring safety investigation, diagnosis of safety problems, selection of feasible treatments for potential treatment candidates, and prioritization of treatments given limited budgets(Persaud, 2001). Identification process of selecting black spot is very important for efficient investigation of sites. In this study, the accident prediction model for EB method was developed by using accident data and geometric conditions of black spots selected from four-leg signalized intersections in In-cheon City for three years (2004-2006). In addition, by comparing the rank nomination technique using EB method to that by using accident counts, we managed to show the problems which the existing method have and the necessity for developing rational prediction model. As a result, in terms of total number of accidents, both the counts predicted by existing non-linear regression model and that by EB method have high good of fitness, but EB method, considering both the accident counts by sites and total number of accident, has better good of fitness than non-linear poison model. According to the result of the comparison of ranks nominated for treatment between two methods, the rank for treatment of almost sites does not change but SeoHae intersection and a few other intersections have significant changes in their rank. This shows that, with the technique proposed in the study, the RTM problem caused by using real accident counts can be overcome.

• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.43-51
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• 2021

Incident investigation is one of the most important processes among various other safety management methods to prevent industrial accidents. Finding the root causes of accidents, eliminating hazards, and improving safety are the most important purposes of investigating accidents. During the investigation process, root cause analysis (RCA) techniques are used to effectively identify RCA. Over the past few decades, over 30 RCA methods have been developed. These techniques are being widely used in some industries, such as the nuclear and aircraft industries; however, most of the RCA techniques require professional knowledge and special training, making it difficult for safety managers in their respective fields to understand and apply them. Therefore, managers of general industrial sites are rarely present at the scene of actual accident investigations, and they cannot contribute much to the purpose and effectiveness of these investigations. In this study, to address these issues, we developed an RCA technique to facilitate root cause investigation of accidents in real-world industrial sites. To develop new techniques, Systematic Cause Analysis Technique (SCAT), one of the RCA techniques, was used to investigate incidents in the enterprise over three years. We also utilized feature analysis and other papers from existing RCA techniques. To verify its effectiveness, the technique proposed was also applied to the accident case. The technique developed can easily identify and analyze the root cause of an accident and help industrial managers. It can also identify the root cause category where accidents are concentrated and use this data to establish guidelines for preventing future accidents and, thus, focus on prioritizing improvement initiatives.

• The Journal of Sustainable Design and Educational Environment Research
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• v.12 no.2
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• pp.19-30
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• 2013

Low birthrate is causing a reduction in the number of students at kindergartens, elementary schools, middle schools and high schools nationwide and yet, school safety accidents are on a constant rise, which was reported to be 237 accidents a day on average in 2011. Such phenomenon is proving how the school safety policy is not doing what it was supposed to do. In order to decrease the school safety accidents, first, causes of the accidents should be analyzed and then, prevention measures should be designed. For that reason, the study looked into the present condition of the school safety accidents and safety accident theories and based on the results, "School Safety Accident Analysis Matrix Model" was proposed. With a matrix method of the accident types (17 of them) and hazard factors (9 of them) applied, the concerned model analyzed a total of 153 accident causes. In consideration of the results from the analysis, the study suggested that the education authority should open a safety organization and design a school safety policy that would systematically deal with safety education, prevention measures practice, accident investigation and analysis, and countermeasures practice as well.

• Journal of Auto-vehicle Safety Association
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• v.12 no.4
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• pp.54-60
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• 2020

In a previous study, an investigation of occupant behaviors and injuries (to the head and chest) was performed during vehicle impact loading cases in order to ensure the safety of wheelchair passengers on a bus. The computational results showed overall safety tolerances of wheelchair occupants under different accident configurations. The bus crashworthiness is described as the capability of a bus to protect occupants during rollover loadings. The residual space containing occupants should be undamaged without any intrusions. However it is necessary to evaluate the residual space according to the bus occupant kinematic analysis under the rollover crash simulation. This study focuses on the evaluation of occupant behaviors during rollover loading cases in order to ensure the safety of bus passengers sitting in general seats and wheelchairs and evaluates the residual space of the bus by analyzing the bus occupant kinematics.

• Journal of Auto-vehicle Safety Association
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• v.9 no.1
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• pp.32-36
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• 2017

In order to reduce the damage of life and property caused by an automobile accident, we should design new car models and safety standard with reference to the data analysis and in-depth investigation of the accident. In-depth research and analysis of the current world other than the police investigation team (GIDAS, iGLAD, NHTSA, etc.) and collect in-depth data. Going to develop a safety policy to make it much safer cars based on this data. However, the country still does not have the advantage of KIDAS data Safety Policy Direction. In KNCAP tests, there is nothing in order to protect far side passengers even if far side impact causes approximately 50% injured people. Based on DBs like KIDAS (Korean In-Depth Accident Study) and GIDAS, far side passengers got injured as much as near side passengers did. So as to protect far side passengers, KNCAP has to change the test method of side crashes. In this study, injury severities to compare with ES-2, World SID and Thor dummies and the movements of far and near side passengers, SLED TEST was used.

• Journal of the Korean Society of Safety
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• v.24 no.6
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• pp.32-38
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• 2009

According to the statistics from the Ministry of labor, 70~80 people died by work-related electric shock accidents in the workplace and this number is about 10~20 times higher than those of the foreign countries such as Japan and the United Kingdom in frequencies and rates per 100,000. The electrocution deaths had decreased from several hundred in 1990s to 67 in 2002, since then there has been little change over the last 5 years. To reduce this number of the electrocution death, it is necessary to analyze the sources of the accidents and to implement the suitable measures for preventing the similar accidents from occurring. But there is not any consensus standard method or procedures for accident investigation yet. And the results solely depend on the ability of the investigator. Because of the demand of eliminating technical barrier for free trading, the IEC 60364 is adopted as a regulation for low voltage electrical installations in Korea. The facilities designed and constructed by IEC 60364 are increasing. The facilities by IEC 60364 have different features in comparison with the facilities by Korea eletro technical regulation, and these features combined with parameters of electric shock accident can greatly affect the consequences of the electric accidents. The accident analysis program for electric shock injuries in Terra Neutral(TN) and Terra Terra(TT) system was developed in this paper, which was based on KOSHA Electric Shock Analysis Program(ESAP).

• Journal of the Society of Disaster Information
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• v.14 no.3
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• pp.360-366
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• 2018

Purpose: This study operation of Joint inter-agency Chemical Emergency Preparedness Center and contribute to the reduction of chemical accidents that occur continuously. Method: The Joint inter-agency Chemical Emergency Preparedness Center functions and Chemical accident statistics data of the ('13~'17) were utilized. Results: The number of chemical accidents is decreasing from 113 in '15, 78 in '16, 87 in '17(latest five years 469 chemical accidents). The Joint inter-agency Chemical Emergency Preparedness Center is located in the industrial complex that handling a large amount of chemical, and performs functions such as prompt response, probation & investigation, accident prevention training, safety patrol. It is believed that it contributes to the decreasing of chemical accident by local control accident prevention function. Conclusion: Decreasing the safety management according to the Chemicals control act('15.1.1). The Joint inter-agency Chemical Emergency Preparedness Center('14.1 set up manage organization), which is operated as a mission to prepare respond to chemical accidents, plays a role.

• Journal of the Korean Society of Safety
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• v.35 no.4
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• pp.64-73
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• 2020

As Korean government and safety-related organizations make continuous efforts to reduce the number of industrial accidents, accident rate has steadily declined since 2010, thereby recording 0.48% in 2017. However, the number of fatalities due to industrial accidents was 1,987 in 2017, which means that more efforts should be made to reduce the number of industrial accidents. As an essential activity for enhancing the system safety, accident analysis can be effectively used for reducing the number of industrial accidents. Accident analysis aims to understand the process of an accident scenario and to identify the plausible causes of the accident. Accident analysis offers useful information for developing measures for preventing the recurrence of an accident or its similar accidents. However, it seems that the current practice of accident analysis in Korean manufacturing companies takes a simplistic accident model, which is based on a linear and deterministic cause-effect relation. Considering the actual complexities underlying accidents, this would be problematic; it could be more significant in the case of human error-related accidents. Accordingly, it is necessary to use a more elaborated accident model for addressing the complexity and nature of human-error related accidents more systematically. Regarding this, HFACS(Human Factors Analysis and Classification System) can be a viable accident analysis method. It is based on the Swiss cheese model and offers a range of causal factors of a human error-related accident, some of which can be judged as the plausible causes of an accident. HFACS has been widely used in several work domains(e.g. aviation and rail industry) and can be effectively used in Korean industries. However, as HFACS was originally developed in aviation industry, the taxonomy of causal factors may not be easily applied to accidents in Korean industries, particularly manufacturing companies. In addition, the typical characteristics of Korean industries need to be reflected as well. With this issue in mind, we developed HFACS-K as a method for analyzing accidents happening in Korean industries. This paper reports the process of developing HFACS-K, the structure and contents of HFACS-K, and a case study for demonstrating its usefulness.

• Journal of the Korea Safety Management & Science
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• v.22 no.1
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• pp.23-32
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• 2020

There has been a significant decline in the number of rail accidents in Korea since system safety management activities were introduced. Nonetheless, analyzing and preventing human error-related accidents is still an important issue in railway industry. As a railway system is increasingly automated and intelligent, the mechanism and process of an accident occurrence are more and more complicated. It is now essential to consider a variety of factors and their intricate interactions in the analysis of rail accidents. However, it has proved that traditional accident models and methods based on a linear cause-effect relationship are inadequate to analyze and to assess accidents in complex systems such as railway systems. In order to supplement the limitations of traditional safety methods, recently some systemic safety models and methods have been developed. Of those, FRAM(Functional Resonance Analysis Method) has been recognized as one of the most useful methods for analyzing accidents in complex systems. It reflects the concepts of performance adjustment and performance variability in a system, which are fundamental to understanding the processes of an accident in complex systems. This study aims to apply FRAM to the analysis of a rail accident involving human errors, which occurred recently in South Korea. Through the application of FRAM, we found that it can be a useful alternative to traditional methods in the analysis and assessment of accidents in complex systems. In addition, it was also found that FRAM can help analysts understand the interactions between functional elements of a system in a systematic manner.