This study aims to model an accident that occurred at building demolition work sites in Gwangju in 2021 by using functional resonance analysis method(FRAM) and to understand a range of factors contributing to the accident based on the concepts and principles of FRAM and Safety-II. The nature of building demolition works needs to be understood from the viewpoint of socio-technical systems. Not only technical factors but also non-technical factors, including human, organizational, and political factors, and their complicated interrelationships should be considered in the modeling and analysis of accidents happening in the works. Because of the inherent complexity of a demolition works, it is unlikely to specify all of the necessary activities to be conducted in the works and their accountable actors. Additionally, unexpected situations are likely to happen and therefore some activity procedures cannot be followed in a prescribed way, which means that workers sometimes should conduct their activities in an improvisional way. Those characteristics of building demolition works indicate that a traditional accident analysis method based on a linear cause-effect relationship would be inadequate, and that more systemic approaches that can deal with the socio-technical complexities and characteristics of demolition works should be used. With this in mind, we applied FRAM to the accident happening in Gwangju in 2021 and attempted to understand the accident based on the concepts and principles of FRAM and Safety-II (e.g. a functional variablity and its propagation to another function). Lastly, we also suggested ways to enhance the safety of building demolition working sites.

This study focuses on analyzing the impact range of toxicity, overpressure and radiant heat (pool fire and boiling liquid expanding vapor explosion, BLEVE) resulting from a propylene oxide leakage accident and proposes mitigation strategies to minimize damage. A risk assessment was conducted by designing accident scenarios based on variables such as substance quantity and wind speed. The results indicated that toxicity and BLEVE were the primary risk factors, and the risk level increased as the substance quantity increased and wind speed decreased. For future mitigation strategies, it is suggested that a quantitative analysis of vapor dispersion rates and dilution and effects under various environmental conditions be conducted, along with preliminary research on optimizing absorbents and catalytic materials.

This study aims to utilize the AcciMap accident investigation method to compare and analyze the causes and mechanisms of chemical and laboratory accidents, ultimately proposing effective management strategies for accident prevention. Despite the establishment of safety management frameworks through the “Laboratory Safety Environment Creation Act” in South Korea, laboratory accidents continue to occur frequently due to the inherent variety and unpredictability of hazards in research environments, highlighting the need for mandatory root cause analysis. Accordingly, the analysis was conducted using the accident investigation method AcciMap and the software tool VOSviewer. Based on these findings, this study proposes tailored management strategies for chemical and laboratory accidents. For chemical accidents, strengthening safety systems and conducting regular maintenance are critical. For laboratory accidents, implementing safety education programs to enhance researchers’ safety awareness and providing appropriate equipment for experimental environments are essential. Moreover, the study emphasizes the necessity of mandating root cause analysis for laboratory accidents to systematically identify accident causes and develop effective preventive measures. Finally, leveraging the accident reporting system outlined in the Laboratory Safety Act is essential to ensure prompt, transparent responses and structured management in the event of accidents.

This study collected video footage of accident-risk scenarios on actual roads using automobiles and motorcycles. A total of 191,500 km was driven with three vehicles and one motorcycle, capturing 6,550 near-miss accident videos. The footage was analyzed and categorized based on the 27 parameters of the iGLAD(Initiative for the Global Harmonization of Accident Data) accident categories. Parameters difficult to classify under iGLAD were localized to fit domestic conditions, and further analysis identified areas needing optimization. The categorized data was organized into a web-based database platform, providing statistical analysis and search functions for scenario development. Future use of this data will support the creation of safety evaluation scenarios for autonomous vehicles, enhancing traffic accident investigation and analysis systems. Expanding the database to include data from secondary roads and parking areas is expected to increase its applicability and value.

PURPOSES : According to government data, the Black Spot Program has resulted in an average 28.8% reduction in traffic accidents within one year of project implementation in areas where road conditions improved. However, there has been a lack of in-depth analysis of the midto- long-term effects, with a predominant focus on short-term results. This study aimed to analyze the mid-to-long-term effects of the Black Spot Program to assess the sustainability of its reported short-term impact. Additionally, the differences in the mid-to-long-term effects were investigated based on the scale of traffic accidents at intersections and the characteristics of these effects are revealed. METHODS : The mid-to-long-term effects of the Black Spot Program were analyzed at 122 intersections in Seoul, Korea, where the program was implemented between 2013 and 2017, using traffic accident data spanning five years before and after implementation. Additionally, the differences in the program's effects were analyzed at the top-100 intersections with the highest traffic accident concentration in Seoul using the chi-square test to identify these differences. To theoretically validate these differences, the Hurst exponent, commonly used in economics, was applied to analyze the regression to the mean of the intersections and reveal the correlation with improvement. RESULTS : Through the Black Spot Program at 122 intersections, a 33.3% short-term accident reduction was observed. However, the midto- long-term effect analysis showed a 25.8% reduction, indicating a slightly smaller effect than previously reported. Specifically, the top-100 intersections exhibit a 15.4% reduction. A chi-square test with a 95% confidence level indicated significant differences in the program’s effects based on the scale of traffic accidents at intersections. The Hurst index (H ) was measured for the top-100 intersections, yielding H = 0.331. This is stronger than the overall H = 0.382 for all intersections in Seoul, suggesting that the regression to the mean is more pronounced, which may lead to a lower effectiveness of the improvement. CONCLUSIONS : The mid-to-long-term effects of the Black Spot Program were relatively lower than its short-term effects, with larger differences in effectiveness observed based on the scale of traffic accidents at intersections. This indicates the need to redefine the criteria for selecting project targets by focusing on intensive improvements at intersections, where significant effects can be achieved.

PURPOSES : This study analyzes the accident damage scale of hazardous material transportation vehicles not monitored in real time by the Hazardous Material Transportation Safety (HMTS) management center. METHODS : To simulate hazardous-material transportation vehicle accidents, a preliminary analysis of transportation vehicle registration status was conducted. Simulation analyses were conducted for hazardous substance and flammable gas transportation vehicles with a high proportion of small- and medium-sized vehicles. To perform a spill accident damage-scale simulation of hazardous-substance transportation vehicles, the fluid analysis software ANSYS Fluent was used. Additionally, to analyze explosion accidents in combustible gas transportation vehicles, the risk assessment software Phast and Aloha were utilized. RESULT : Simulation analysis of hazardous material transportation vehicles revealed varying damage scales based on vehicle capacity. Simulation analysis of spillage accidents showed that the first arrival time at the side gutter was similar for various vehicle capacities. However, the results of the cumulative pollution analysis based on vehicle capacity exhibited some differences. In addition, the simulation analysis of the explosion overpressure and radiant heat intensity of the combustible gas transportation vehicle showed that the difference in the danger radius owing to the difference in vehicle capacity was insignificant. CONCLUSIONS : The simulation analysis of hazardous-material transportation vehicles indicated that accidents involving small- and medium-sized transportation vehicles could result in substantial damage to humans and ecosystems. For safety management of these small and medium-sized hazardous material transportation vehicles, it is expected that damage can be minimized with the help of rapid accident response through real-time vehicle control operated by the existing HMTS management center.

The objective of this study was to conduct research and analysis using Group Focus Interview to survey the between construction site workers and managers implementing for the Severe Accident Punishment Act. Focused on measures to improve safety management effectiveness for the effectiveness of establishing a safety management system. A plan to improve the efficient safety management system was presented to 50 construction industrial managers and workers. In order to ensure the industrial accident prevention policies appropriately, it is necessary to be aware of safety obligations for workers as well as business operators. In addition, despite the existence of a commentary on the Serious Accident Punishment Act, confusion in the field still persists, so in the event of a major accidents, the obligation to take safety and health education is strengthened, and effective case education is proposed by teaching actual accident cases suitable for actual working sites. It is necessary to make all training mandatory, and it is necessary to reconsider awareness through writing a daily safety log, awareness of risk factors, etc., and writing down risk information. Above all, at the construction ordering stage, it is necessary to keep the construction safety, request corrections and supplements for problems issues that arise, and consult between the orderer and the construction company about the problems issues. Rather than having only the construction company correct or supplement the safety management plan, the contents should be shared with supervisors and workers to establish a more practical solution. Results of this study will contribute to improving the effectiveness of the serious accident and construction safety management system.

Since last year, the government has enforced the 'Act on the Punishment of Severe Accidents, Etc.' (hereafter referred to as the 'Serious Accident Punishment Act'), which punishes business owners and business managers who fail to fulfill their duty of safety measures with 'imprisonment of one year or more' and the Occupational Safety and Health Act. Based on this, various occupational safety and health policies were developed, including the operation of a system related to entrusting the work of safety managers. Despite these efforts, the effect of implementing the Severe Accident Punishment Act is a groundbreaking change in the current disaster prevention policy, which has increased by 0.02%P and 0.03‱P, respectively, from the previous year to 0.65% of the total accident rate and 1.10‱ of the death rate per 10,000 people as of 2022. As the need emerged, attention was paid to 'collaboration and governance with safety management institutions' in the 'Severe Disaster Reduction Roadmap' announced by the Ministry of Employment and Labor in November 2022. In this study, a meaningful result was derived by comparing and analyzing the industrial accident status of workplaces entrusted by “A” safety management institutions with the national average based on the industrial accident survey table, and the types of industrial accidents that occurred in consigned workplaces were selected as intensive management targets. The policy direction for industrial accident prevention was established. It is necessary to develop safety management work manuals based on the results of this study, expertise, discover best cases of risk assessment and develop guides, and educate and train consigned workers. In addition, it suggests that the government's guidance and supervision are needed to advance the professionalism of safety management entrusted tasks, and that safety management institutions should strengthen their roles and functions for preventing and reducing industrial accidents. However, due to difficulties in disclosing information of specialized safety management institutions, the limitation of the provision, collection, and viewing of research-related data to “A” specialized safety management institutions remains a limitation of the research. It seems likely that more thorough research will be conducted.

Recently, the crisis of demographic extinction is rising in Korea more than any other country, and it is difficult for industrial sites to maintain without 'foreign workers'. Industrial accidents and accident deaths of foreign workers account for 7.6% and 12.3% of the total, through an in-depth analysis of fatal accidents in the manufacturing industry, differences and similarities between fatal accidents of foreign workers and all fatal accidents were confirmed in terms of occurrence type, workplace size, length of service, employment type, etc. In this study, customized countermeasures were found.

The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

선박 간 충돌사고의 원인 분석에서는 해당 사고에 적용되는 항법에 따라 책 임관계가 달라질 수 있으며, 이는 해당 사고와 관련한 민사나 형사소송에까지 영향을 미치게 된다. 따라서 선박충돌사고에 있어 항법 적용의 기본적인 원칙 은 중요하다. 현재 우리 해양안전심판원에서는 양 선박이 상당한 시간과 여유를 가지고 접근하여, “항행 중인 한 선박의 입장에서 상대 선박이 어떤 동작을 취하고 있 는지 파악하고 다음에 어떤 동작을 취할 것인지 예상할 수 있을 정도로 상당기간 침로 및 속력을 유지한 상태”에 한하여 항법규정에 명시되어 있는 일반적 인 항법을 적용하고 있다. 이러한 조건에 맞지 아니하여 일반적인 항법을 적용 하는 것이 적절하지 아니한 경우 선원의 상무 규정이 적용되고 있다. 한편, 사고 수역이 무역항의 수상구역 등인 경우 ｢선박의 입항 및 출항 등에 관한 법률(이하 “선박입출항법”이라 한다)｣의 항법규정이 우선 적용되며, ｢선박 입출항법｣에서 따로 정하지 않는 부분은 ｢해사안전법｣상의 항법규정을 적용하 게 된다. 무역항의 수상구역 등을 제외한 우리 영해와 이와 접속한 수역에서는 ｢해사안전법｣상의 항법규정이 적용될 것이며, 이 법률에 명시적 규정이 없는 경우에는 선원의 상무 규정이 적용될 것이다. 항법의 적용에 있어 항법 적용의 시점(始點) 문제는 중요하다. 항법 적용의 시점은 어느 지점에서 충돌의 위험성이 존재하기 시작하였는지에 대한 판단을 기준으로 하여, 최근접점까지 도달하기 15분전이 되는 지점 및 양 선박 간의 거 리가 3마일 이내가 된 지점을 함께 고려하여 결정하여야 할 것이다. 양 선박 간의 항법변경에 대한 합의는 양측이 시간적 여유를 두고 충분히 항 법변경을 약속한 상태에서만 인정할 수 있을 것이고, 이러한 합의의 효과는 ｢ 선박입출항법｣과 ｢해사안전법｣에 명시된 항법에 우선한다.

최근 5년간 국내에서 발생한 해양사고를 선박용도별로 살펴보면 어선이 67.1%(10,211척)를 차지하고 있으며, 어선에 의한 해 양사고는 2016년 1,646건에서 2020년 2,100건으로 매년 증가하고 있다. 특히 최근 5년간 발생한 378건의 전복사고 중 어선의 전복사고가 252건으로 66.7%의 높은 비중을 차지하고 있어 이에 따른 대책 마련이 시급한 실정이다. 본 연구에서는 어선 제66풍성호의 전복사고의 원인 규명을 위해 복원성 및 해수 유입경로 등의 자료 수집과 풍성호에 설치된 방수구, 추가 갑판 및 바람막이 등이 복원성에 미치는 영향을 정량적으로 분석 후 전복사고의 대응 방안을 제시하였다. 복원성에 영향을 주는 요인으로 풍성호에 설치된 추가 갑판, 바람막 이, 방수구가 초기 횡경사를 일으키고, 복원성을 악화시키며 어선구조기준을 충족시키지 못할 뿐만 아니라 풍성호의 선형 특성 등으로 인해 복원성을 약화 시키는 것으로 분석되었다. 사고 당시의 복원성을 추정하기 위해 어로작업 시점의 복원성과 해상 상태 변화에 따 른 해수 유입량 및 이에 따른 동요 상황, 그리고 선체 요인에 의한 복원성 변화를 계산하였다. 그 결과, 어로작업의 시점에서는 최소 GoM을 모두 만족하였으나 최대파고 4m에서 복원이 불가하였으며, 선체 경사에 따른 해수 유입, 동요의 영향에 의해 최대파고 4m 상 태에서 최소 GoM을 만족하지 못하는 것으로 분석되었다. 그러나, 풍성호의 복원성에 영향을 미치는 요인 중 추가 갑판과 바람막이 설 치를 제외한다면 최소 GoM을 만족하는 것으로 분석되었다.

본 연구의 목적은 과거 12년(2010~2021년)간 발생한 상선의 충돌사고 668건을 조사하여 충돌의 원인요인을 조사하고 이를 통계 적으로 분석하여 항해사의 인적과실 예방 충돌회피(HEPCA) 모델을 제안하는 것이다. 중앙해양안전심판원의 통계연보 및 충돌사건 재결서 를 조사하여 상선의 충돌 원인요인 데이터를 수집하고 통계분석 도구인 SPSS를 이용하여 빈도분석을 수행하였다. 1단계 분석으로 상선 충 돌사고 668건을 대상으로 충돌원인을 분석하였고, 2단계 분석에서는 식별된 최대빈도 원인요인을 세부적으로 분석하였다. 분석결과, 충돌 원인은 항해사의 인적과실이 98 %인 것으로 식별되었으며, 빈도 높은 요인 순서는 경계소홀 〉항행법규위반 〉조선 부적절 순이었다. 경계 소홀의 원인 요인은 주로 상대선 초인 후 지속감시 소홀이었으며 상대선박의 존재를 인식하지 못한 원인은 주로 당직시간에 다른 작업을 한 요인이었다. 분석결과를 적용하여 인적과실 예방을 위한 HEPCA 모델을 제안하였고, 이를 재결서의 충돌사건에 적용해보았다. 본 연구결과는 해기사 교육기관 및 실무에서 항해사의 인적과실로 발생하는 충돌사고를 방지하기 위한 교육 자료로 활용이 가능할 것으로 기대된다.

해양사고 예방을 위해서는 사고의 원인과 결과에 대한 분석 및 진단뿐만 아니라, 사고의 발생 패턴과 변화 추이를 예측함으로 써 정량적 위험도를 제시할 필요성이 있다. 선박교통과 관련된 해양사고 예측은 선박의 충돌위험도 분석 및 항해 경로 탐색 등 선박교통 의 흐름에 관한 연구가 주로 수행되었으며, 해양사고의 발생 패턴에 대한 분석은 전통적인 통계 분석에 따라 제시되었다. 본 연구에서는 해양사고 통계 자료 중 선박교통관련 사고의 월별, 시간대별 발생 현황 데이터를 활용하여 해양사고 발생 예측 모델을 제시하고자 한다. 국내 해양사고 발생 현황 중 월별, 시간대별 데이터 집계가 가능한 1998년부터 2021년까지의 통계자료 중 선박교통 관련 데이터를 분류하 여 정형 시계열 데이터로 변환하였으며, 대표적인 인공지능 모델인 순환 신경망 기반 장단기 기억 신경망을 통하여 예측 모델을 구축하 였다. 검증데이터를 통하여 모델의 성능을 검증한 결과 RMSE는 초기 신경망 모델에서 월별 52.5471, 시간대별 126.5893으로 나타났으며, 관측값으로 신경망 모델을 업데이트한 결과 RMSE는 월별 31.3680, 시간대별 36.3967로 개선되었다. 본 연구에서 제안한 신경망 모델을 기 반으로 다양한 해양사고의 특징 데이터를 학습하여 해양사고 발생 패턴을 예측할 수 있을 것이다. 향후 해양사고 발생 위험의 정량적 제 시와 지역기반의 위험지도 개발 등에 관한 추가 연구가 필요하다.

PURPOSES : In this study, the factors affecting the severity of traffic accidents in highway tunnel sections were analyzed. The main lines of the highway and tunnel sections were compared, and factors affecting the severity of accidents were derived for each tunnel section, such as the tunnel access zone and tunnel inner zone. METHODS : An ordered probit model (OPM) was employed to estimate the factors affecting accident severity. The accident grade, which indicates the severity of highway traffic accidents, was set as the dependent variable. In addition, human, environmental, road condition, accident, and tunnel factors were collected and set as independent variables of the model. Marginal effects were examined to analyze how the derived influential factors affected the severity of each accident. RESULTS : As a result of the OPM analysis, accident factors were found to be influential in increasing the seriousness of the accident in all sections. Environmental factors, road conditions, and accident factors were identified as the main influential factors in the tunnel access zone. In contrast, accident and tunnel factors in the tunnel inner zone were found to be the influencing factors. In particular, it was found that serious accidents (A, B) occurred in all sections when a rollover accident occurred. CONCLUSIONS : This study confirmed that the influencing factors and the probability of accident occurrence differed between the tunnel access zone and inner zone. Most importantly, when the vehicle was overturned after the accident occurred, the results of the influencing factors were different. Therefore, the results can be used as a reference for establishing safety management strategies for tunnels or underground roads.

The food delivery platform labor market has been continuing to grow rapidly in Korea, which resulted in traffic accident increases of delivery riders. To prevent traffic accidents while delivery, this study conducted a survey for 462 delivery riders and analyzed the statistical relationships of delivery characteristics and risk perception with delivery accidents. The results of this study revealed that riders with young age (20s: 46.6%) and/or low delivery experience (less than 1 year: 50.6%) had significantly higher proportion of accident experience than other age groups (over 40s: 36.2%) and high delivery experience (more than 2 years: 36.4%). In addition, side job riders (61.5%) showed significantly higher proportion of accident experience than main job riders (39.1%). The riders with accident experience had more number of deliveries per hour (weekday: 3.56, weekend: 3.91) than the riders without accident experience (weekday: 3.29, weekend: 3.68). Lastly, the riders with accident experience rated significantly higher perceived level of risk on weather, violation of traffic laws, uninspected motorcycle, receiving calls while driving, missing safety training, missing personal protective equipment than the riders without accident experience. This study suggested four aspects based on the study results to prevent traffic accidents for delivery riders.

Since cranes are a kind of complex human-machine systems, it is almost impossible to completely secure safety with current technologies. Therefore, managerial interventions to prevent human errors are needed for safely operating a crane. The Occupational Safety and Health law states that cabin-type crane operators should have crane drivers’ licence and crane-related operators (e.g., pendent-type crane operators, slinging workers) should take a special safety training. However, statistics on industrial accidents showed that fatalities due to crane accidents (185 accidents occurred during 2013~2017) were the highest among hazardous machinery and equipment. To effectively control the crane-related accidents, voices of crane workers need to be analyzed to investigate the current status. This study surveyed perceived causes of crane accidents and status of special safety training for crane workers of 387. The survey revealed that 24.3% of the respondents experienced crane accidents and 31.4% eye-witnessed crane accidents. 79% of the respondents pointed human errors such as improper crane operation and improper slinging as the first cause. Lastly, only 16.7% of the respondents took a professional special safety training; but the rest took lecture-based or incomplete education. The findings of the present study can be applied to improve crane-related policies and special safety training systems.