PURPOSES : This study aims to identify the thresholds at which various factors affecting traffic crashes lead to actual traffic crashes METHODS : To verify the thresholds, we created scenarios and ran simulations with a combination of factors that affect traffic crashes. Lateral offset and minimum TTC were used to evaluate whether an incident occurred. RESULTS : In the first scenario, the most significant factor affecting traffic crashes is curvature, and it was found that the smaller the curvature(200 meters or less), the greater the deviation from the lane. And in the second scenario, especially the passenger car scenario, no accidents occurred when the curvature was greater than 90 meters and the speed was 40 km/h or less. The smaller the curvature and the higher the speed, the more accidents occurred. Similarly, in the bus scenario, no accidents occurred when the curvature was 120 meters or more and the speed was 30 km/h or less. Also, accidents tended to occur when the curvature was smaller and the speed was higher. CONCLUSIONS : Through this study, we derived the thresholds of factors that influence traffic crashes. The results are expected to help design and operate roads in the future and contribute to reducing traffic crashes.

Purpose: This study aims to investigate the effect of a simulation-based patient safety performance improvement education program on caregivers’ knowledge, attitude, and performance toward safety. Methods: This study adopted a quasi-experimental design that applied before-and-after designs for the test and control groups. It was configured focusing on “infectious disease,” “fires,” “falls,” and “drug abuse.” Results: There was a significant difference in knowledge and patient safety performance between the experimental group and the control group. However, there was no significant difference in attitudes toward safety. Conclusion: The results of this study showed that the simulation-based patient safety performance improvement education program is effective in improving patient safety performance. Therefore, it is necessary to continuously apply and evaluate the simulation-based patient safety performance training program to enable caregivers to develop professional prevention and management capabilities within elderly care facilities

Purpose: The purpose of this study is to investigate the effect of simulation-based disaster nursing education programs on nursing college students’ disaster nursing knowledge, attitude toward disasters, and basic disaster nursing implementation abilities. Method: This study is similar to an experimental study that applied before-and-after designs for test groups and control groups. It was configured focusing on “earthquakes,” “fires,” “infectious diseases,” and “hospital disaster preparation.” Our simulation-based disaster nursing education program was configured to improve nursing students’ abilities to immediately respond to problems through the integration of nursing courses. Results: The test group that received the simulation-based disaster nursing education program showed a statistically significant increase in disaster nursing knowledge, attitude toward disasters, and basic disaster nursing implementation abilities, compared to the control group. Conclusion: Through the results of this study, simulation-based disaster nursing education programs were found to be effective in improving disaster nursing implementation abilities. Therefore, efforts should be made so that simulation-based disaster nursing educational courses take root to improve the disaster preparedness abilities of college students majoring in nursing.

조선소의 생산성은 제한된 자원을 얼마나 효율적이고 체계적으로 관리하고 사용하는가에 달려있다. 최근 들어 조선소에서는 생산관리 시스템을 고도화하기 위해 시뮬레이션 기법을 적용한 연구가 활발히 진행되고 있다. 본 논문에서는 시뮬레이션 기법을 생산관리에 적용한 조선소의 시뮬레이션 기반 생산 개념을 연구하였다. 이는 조선소 현장에서 경험과 직관에 의한 의사결정을 지양하고, 정량적이고 구체적인 데이터에 기반을 둔 개선방안을 확립할 수 있게 한다. 본 논문에서는 조선소의 생산 계획 중 선표 계획 영역에 대한 시뮬레이션 적용 연구를 수행하였으며, 이를 위해 조선소의 생산 계획 프로세스와 시스템을 분석하고 상용 시뮬레이션 소프트웨어를 이용한 시뮬레이션 시스템의 설계를 수행하였다. 이러한 시뮬레이션 시스템은 현재 조선소 생산관리 시스템의 운용환경을 고려하여 웹 환경에서 운용가능한 구조를 갖고 있으며, 이를 통해 조선소에서는 보다 손쉽게 생산 계획을 시뮬레이션하고 결과를 분석함으로써 보다 신뢰도 높은 생산 계획을 수립할 수 있을 것으로 기대한다.