PURPOSES : In this study, we quantitatively prove the rubber necking phenomenon for highway traffic accidents and develop a calculation model based on the influencing factors. METHODS : Vehicle detector speed data in the opposite direction to the accident point were used based on the accident data on highways over the past three years, and a comparative verification was performed between nearby vehicle detector data to verify the reliability of the data. Accordingly, a binomial logistic model, ordinal probit regression model, and multilinear regression model were developed to compare the orientation. RESULTS : There was a difference in the influencing factors based on the dependent variable, and the day of the week, vehicle type, weather, longitudinal slope, and median height had an effect. Through a regression analysis, an influence coefficient was derived to calculate the driving speed deceleration value by rubbernecking. The results of the model analysis proved that the speed reduction caused by rubbernecking was more evident during the daytime than at night, during weekends compared to weekdays, and the speed reduction was more obvious for heavy vehicles compared to other types of vehicles. It can also be concluded that longer clearance time, higher accident severity, and higher traffic volume affect traffic delay. To verify the data and model equation, the mean prediction bias (MPB) and mean absolute deviation (MAD) were calculated for hundred cases randomly extracted from the collected accident data. These results were excellent. CONCLUSIONS : It can be developed into a human-engineered model that reflects various road/facility conditions, such as highways, other lanes, general roads, and roads without a median strip. This study is meaningful as a basic study on the quantitative effect of rubber necking.

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.

This study aims to propose a conceptual design of information displays for supporting responsive actions under severe accidents in Nuclear Power Plants (NPPs). Severe accidents in NPPs can be defined as accident conditions that are more severe than a design basis accident and involving significant core degradation. Since the Fukushima accident in 2011, the management of severe accidents is increasing important in nuclear industry. Dealing with severe accidents involves several cognitively complex activities, such as situation assessment; accordingly, it is significant to provide human operators with appropriate knowledge support in their cognitive activities. Currently, severe accident management guidelines (SAMG) have been developed for this purpose. However, it is also inevitable to develop information displays for supporting the management of severe accidents, with which human operators can monitor, control, and diagnose the states of NPPs under severe accident situations. It has been reported that Ecological Interface Design (EID) framework can be a viable approach for developing information displays used in complex socio-technical systems such as NPPs. Considering the design principles underlying the EID, we can say that EID-based information displays can be useful for dealing with severe accidents effectively. This study developed a conceptual design of information displays to be used in severe accidents, following the stipulated design process and principles of the EID framework. We particularly attempted to develop a conceptual design to make visible the principle knowledge to be used for coping with dynamically changing situations of NPPs under severe accidents.

우리나라 해양안전심판원은 해양사고가 발생하였을 때 해양안전심판절차에 따라 해양사고를 조사하는 기관으로 해양사고를 전문으로 조사할 수 있는 역량을 갖춘 조사관을 필요로 한다. 해양안전심판원의 조사관은 2급 이상의 해기사면허를 요구하고 있으며, 승 선경력을 갖춘 경력자로 선박에 대한 전문지식을 소유하고 있지만, 해양사고 조사에 관한 기술 역량은 별도의 교육이 필요하다. 하지만 현재의 해양사고 조사관을 위한 교육은 행정업무가 주된 내용으로 조사 기술 역량 향상에는 부적합하여 이에 대한 개발이 시급한 실정이 다. 본 연구는 해양사고 조사관을 위한 기술 역량 강화를 목적으로 해양사고 조사관 교육 콘텐츠를 설계하기 위해 진행되었다. 이를 위하 여 현행 조사관 교육내용의 분석, 관련 법령의 검토, 선진 해양국가 및 국내 유사 교통기관들의 조사관 교육내용을 분석하였다. 연구의 결 과로써 조사 기술 역량 강화에 중점을 둔 교육 콘텐츠를 설계하였고, 이를 각 5일이 소용되는 신규교육과 전문교육 과정으로 나누어 제안 하였다. 설계된 교육 콘텐츠를 바탕으로 우리나라 해양사고 조사관의 업무여건 등을 충분히 반영하여 심층적인 연구가 진행된다면 조사 기술 역량 향상에 큰 도움이 될 것으로 사료된다.