• 한국도로학회논문집
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• 제10권1호
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• pp.31-39
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• 2008

본 연구는 도로기하구조 요인과 교통사고간의 관계를 규명하기 위하여 CART분석을 이용하여 전국의 4차로 국도를 대상으로 교통사고예측모형을 개발하고, 다중회귀모형, 확률회귀모형과 CART분석모형을 비교 분석하여 개발한 모형의 적합도를 검증하였다. 연구결과로는 첫째, 변수간의 복합적인 상호관계를 설명할 수 있는 CART분석을 이용하여 국도의 교통사고 예측모형을 개발하고 도로기하구조 요인에 따라 표준교통사고율을 의미하는 교통사고발생도표를 제시하였다. 둘째, CART분석모형에 근거하여 교통사고 발생률에 큰 영향을 미치는 도로기하구조 요인이 구간거리(km), 횡단보도폭(m), 횡단길어깨(m), 교통량 순으로 나타났다. 셋째, CART분석모형의 적합도 검증결과, CART분석모형이 실제교통사고율을 타 모형에 비해 전반적으로 잘 묘사하고 있었으나, 각 모형별로 교통사고율의 크기에 따라 교통사고율이 비교적 낮은 구간에서는 다중회귀모형이, 평균이상의 교통사고율을 나타내는 구간에서는 포아송 회귀모형의 예측력이 높았으며, CART분석모형은 교통사고율의 크기와 상관없이 우수한 예측력을 보였다. 넷째, 도출된 교통사고발생도표는 도로기하구조 조건에 따른 표준교통사고율을 제시해주기 때문에 도로설계 시에 안전한 기하구조 설계요소 선정기준을 제시 할 뿐만 아니라, 교통사고 잦은 지점개선사업추진 시 사업의 우선순위를 판단할 수 있는 기준을 제시하는 등 정책적 활용도가 매우 높을 것으로 판단된다.

• 대한인간공학회지
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• 제30권1호
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• pp.137-150
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• 2011

Nationally and internationally reported statistics on marine accidents show that 80% or more of all marine accidents are caused fully or in part by human error. According to the statistics of marine accident causes from Korean Maritime Safety Tribunal(KMST), operating errors are implicated in 78.7% of all marine accidents that occurred from 2002 to 2006. In the case of the collision accidents, about 95% of all collision accidents are caused by operating errors, and those human error related collision accidents are mostly caused by failure of maintaining proper lookout and breach of the regulations for preventing collision. One way of reducing the probability of occurrence of the human error related marine accidents effectively is by investigating and understanding the role of the human elements in accident causation. In this paper, causal factors/root causes classification systems for marine accident investigation were reviewed and some typical human error analysis methods used in shipping industry were described in detail. This paper also proposed a human error analysis method that contains a cognitive process model, a human error analysis technique(Maritime HFACS) and a marine accident causal chains, and then its application to the actual marine accident was provided as a case study in order to demonstrate the framework of the method.

• 대한인간공학회지
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• 제36권3호
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• pp.231-244
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• 2017

Objective: This study aims to understand the occupational injury characteristics of the workers in the motor vehicle parts (automobile parts) manufacturing industry and to present basic guidelines on accident prevention through accident analysis. Background: There occur many occupational injuries in the motor vehicle parts manufacturing industry. But there were few researches for the occupational injuries of the workers in the motor vehicle parts manufacturing industry. Method: This study analyzed the data of occupational injuries of 1,609 workers in the motor vehicle parts manufacturing industry in 2015. The accident characteristics were analyzed by dividing them into worker related factors and accident related factors. Results: Among the occupational injuries of the workers in the motor vehicle parts manufacturing industry, 80.6% of the victims were males, 64.0% were older than 40. 57.8% of the victims were employed by the companies with less than 50 workers. In addition, there was a difference in accident characteristics according to age, work experience, employment type, events or exposures, accident time of the day, agents, natures of injuries and illnesses, injured organs and injured body part. Conclusion: It is important to prevent equipment/machinery accidents. For this purpose, more efforts should be made to establish safety measures faithful to the basics of safety devices and safety work procedures. It is also suggested that prevention of disasters should be intensively carried out for workplaces with less than 50 employees and middle-aged and elderly people. Application: The result can be used to present guidelines for preventative measures for the workers in the motor vehicle parts manufacturing industry including safety education/training.

• Nuclear Engineering and Technology
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• 제36권5호
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• pp.430-449
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• 2004

A quantitative model for a control system that integrates human operators, systems, and their interactions is developed based on discrete functions. After identifying the major entities and the key factors that are important to each entity in the control system, a quantitative analysis to estimate the recovery failure probability from an abnormal state is performed. A numerical analysis based on assumed values of related variables shows that this model produces reasonable results. The concept of 'relative sensitivity' is introduced to identify the major factors affecting the reliability of the control system. The analysis shows that the hardware factor and the design factor of the instrumentation system have the highest relative sensitivities in this model. T도 probability of human operators performing incorrect actions, along with factors related to human operators, are also found to have high relative sensitivities. This model is applied to an analysis of the TMI-2 nuclear power plant accident and systematically explains how the accident took place.

• Journal of Korean Biological Nursing Science
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• 제22권1호
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• pp.45-52
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• 2020

Purpose: The purpose of this study was to investigate the risk factors of intracranial hemorrhage in children with skull fractures from head trauma. Methods: The retrospective study included 205 patients diagnosed with a skull fracture in a pediatric emergency room. Data were analyzed using 𝓍²-test, Fisher's exact test, t-test, and logistic regression analysis with the SPSS/WIN24.0 program. Results: Intracranial hemorrhage was diagnosed in 71 patients. There were statistically significant differences between the hemorrhagic group and non-hemorrhagic group in age group, places of accident, type of accident, location of the fracture, and symptoms. Intracranial hemorrhage by age group was higher in school-age and adolescence than in infancy. The places of accidents of hemorrhage were higher in street and school than in the home. The types of an accident of bleeding were higher in the case of knock and traffic accident than in fall. Symptoms of nausea, headache, and loss of consciousness were associated with higher intracranial hemorrhage. Multivariable logistic regression analysis showed that knock (OR= 3.29, 95% CI= 1.50-7.22), traffic accident (OR= 4.78, 95% CI= 1.31-17.43), nausea (OR= 4.18, 95% CI= 1.42-12.31), and loss of consciousness (OR= 3.29, 95% CI= 1.41-9.50) were risk factors for intracranial hemorrhage. Conclusion: In this study, the risk factors of intracranial hemorrhage were identified in pediatric patients with skull fractures caused by head trauma. It is recommended that the results of this study be used to manage and educate patients, caregivers, and medical staff after head trauma hemorrhage.

• 대한토목학회논문집
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• 제39권6호
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• pp.841-851
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• 2019

본 연구는 교차로, 횡단보도, 터널 구간에서 교통사고 유형에 따른 위험 순위를 비교 분석한 것이다. 서울, 경기도에서 발생한 2014년부터 2017년까지의 교통사고자료 중 교통량 및 속도 자료와 결합 가능한 58,868건의 자료를 구축하고, 순서형 로짓모형을 활용하여 사고심각도 추정모형을 구축하였다. 추정된 모형을 기반으로 사고심각도에 영향을 미치는 요인을 규명하고, 영향을 미치는 정도를 살펴보았다. 또한 사고발생위치(교차로, 횡단보도, 터널)별, 사고유형별, 사고발생 시간이나 상황별로 상대적 위험도 분석을 통해 위험순위를 제시하였다. 분석 결과 사고발생 위치와 시간에 따라 사고심각도에 현격한 차이를 보이는 것으로 나타났으며, 분석 자료로부터 산출된 사고 발생 빈도와 사고심각도와 비교해봤을 때, 발생 빈도가 적더라도 사고심각도 측면에서는 위중하거나, 발생 빈도가 높고, 사고심각도 또한 위중한 경우가 존재하는 것으로 분석되었다. 이러한 교통사고유형의 위험 평가를 통해 도로별로 상대적으로 위험한 사고유형에 대한 이해가 가능하고 도로별, 사고유형의 교통사고 위험도 지수 개발에 기초자료 활용할 수 있을 것이다.

• 대한안전경영과학회지
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• 제10권4호
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• pp.1-9
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• 2008

It is very important to evaluate the priority of prevention factors and strategies in order to minimize industrial accident. It provides decisive information for accident prevention and safety management. Therefore, this paper proposes evaluation method of the priority through statistic testing with prevention factors and strategies by the cause analysis of cause and effect models. Especially, this paper uses priority matrix criterion to justify application of rank and objectivity. This paper is based on the results of a questionnaire of workers and managers who are engaged by real manufacturing and construction industries with less than 300 workers in the central region of Korea, where most of the fatal accidents have happened. Finally, the result provides one way to implement safety management for industrial accident prevention.

• 산업경영시스템학회지
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• 제41권4호
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• pp.171-178
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• 2018

Recently, the continuing operation of nuclear power plants has become a major controversial issue in Korea. Whether to continue to operate nuclear power plants is a matter to be determined considering many factors including social and political factors as well as economic factors. But in this paper we concentrate only on the economic factors to make an optimum decision on operating nuclear power plants. Decisions should be based on forecasts of plant accident risks and large and small accident data from power plants. We outline the structure of a decision model that incorporate accident risks. We formulate to decide whether to shutdown permanently, shutdown temporarily for maintenance, or to operate one period of time and then periodically repeat the analysis and decision process with additional information about new costs and risks. The forecasting model to predict nuclear power plant accidents is incorporated for an improved decision making. First, we build a one-period decision model and extend this theory to a multi-period model. In this paper we utilize influence diagrams as well as decision trees for modeling. And bayesian statistical approach is utilized. Many of the parameter values in this model may be set fairly subjective by decision makers. Once the parameter values have been determined, the model will be able to present the optimal decision according to that value.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.2021-2028
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• 2010

국외에서는 대형시스템을 사용하는 항공, 해양, 원자력, 철도 등에서 발생하는 사고 중 인적오류가 포함된 사고에 대한 분석 및 연구가 활발히 진행되고 있다. 우리나라에서는 영국, 미국 등의 철도선진국과 비교하여 인적오류를 고려한 철도시스템의 체계적인 운영이 미흡하며, 관련 기준을 별도로 규명하지 않고 있는 실정이다. 또한, 사고 분석을 위한 방법이나 절차, 인적오류와 관련된 원인요소에 대한 항목이 제한적이어서 사고분석이 어려운 실정이다. 이에 본 연구에서는 철도사고구분에 따른 위험사건들을 체계화하여 기관사, 사령, 역무원을 포함한 철도안전업무종사자의 수행도에 영향을 끼칠 수 있는 인적오류원인들을 국내외 연구결과를 바탕으로 체계화하고, 국내 철도 사고 사례를 통해 적합한 인적오류원인을 도출할 수 있는 분류방안을 마련한다.

• 한국인터넷방송통신학회논문지
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• 제22권6호
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• pp.13-20
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• 2022

겨울철 도로에서 발생하는 안개 및 결빙구간 교통사고 사망률의 경우는 도로조건 및 기상조건이 매우 중요한 요소 이다. 본 논문에서는 교통사고 예측 데이터를 가정하고 교통사고 위험율을 에측 하는 모의실험을 수행하였다. 그뿐만 아니라, 본 논문에서는 교통사고를 줄이고 교통사고를 예방하기 위해서, 교통공단에서 제공하는 교통사고 사망자 데이터를 WEKA 데이터 마이닝 기법 및 TENSOR FLOW 공개 소스를 이용해서 요인 분석 및 교통사고 치사율 사망을 예측하였다. 추가적인 기능으로는 지도 표시 기능을 이용해서, 운전자가 WEB 기반에서, 안개 및 결빙구간 정보를 운전자에게 제공하는 모의실험 및 교통사고 사진을 실시간으로 전송하는 모의실험 결과를 설명하였다.