• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1180-1186
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• 2007

This paper contains that the current emergency response procedure through the railroad accident type at domestic and foreign, and the response program which is more systematic as a result of improving weaknesses. Because the response program at home is less sufficient than developed country's, we have made an investigation into system of classification in America, British, Germany, Japan for organizing separate emergency response code. we have researched the recognition response of five senses for minimizing the accident damage in a way of spreading the emergency response type analyzed through the accident procedure according to the feature of five senses by the first recognizer. Based on the first recognitions response of five senses, the scenario has been established according to each types and the criteria of accident has been researched through classifying the recognition of five senses response level, early response level, self-response level, outside support level.

• 환경영향평가
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• 제23권3호
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• pp.177-186
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• 2014

Depending on the change of lifestyle and the improvement of people's living standards and rapid industrialization, urbanization of recent, demand for water is increasing rapidly. So emissions of domestic wastewater and various industrial waste water has increased, and water quality is worsening day by day. Therefore, in order to provide a measure against the occurrence of water pollution accident, this study was tried to simulate water pollution accident. This study simulated 2008 Gimcheon phenol accident using 1,2-D model, and analyze scenario for prevent of water pollution accident. Consequently the developed 1-D model presents high reappearance when compared with 2-D model, and has been able to obtain results in a short simulation run time. This study will contribute to the water pollution incident response prediction system and water quality analysis in the future.

• 대한안전경영과학회지
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• 제22권3호
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• pp.9-14
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• 2020

A forklift accident occurs in the logisitcs center. there are many kinds of accidents such as a casualty accident or a minor accident, etc. there are many other causes of accident, including poor visibility and habitual operational mistakes The result of the accident is the phenomenon of cutting, falling, scratching of the product. In the case of minor accidents, workers do not report accidents, so the occurrence of accidents is unknown. The customer receives the goods and then notifies them that they are defective product. After the product is returned, we can see that the forklift accident caused the problem of the product The result of the late response affects the image of the enterprise. In this study, we recognized the need for safety education to prevent accidents and found out which of the education items could raise awareness of safety. As result of the study, disinfection and forklift maneuverability regarding speed were mentioned as the most important items in education.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.127-128
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• 2022

The construction industry has a higher disaster rate than other industries, so safety education and management are highly important. In order to reduce the construction accident rate, it is necessary to study the key safety management factors reflecting the characteristics of the construction industry, where there are differences in processes and manpower input for each process, and a small number of managers. Therefore, in this study, key safety management factors for each Process of construction were derived through cross-analysis between safety accident types and accident occurrence objects through disaster case data. The extracted key safety management factors are expected to provide useful information for safety education and supervision of construction sites.

• 대한교통학회지
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• 제29권4호
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• pp.103-111
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• 2011

속도는 교통안전에 있어서 중요한 요소이며 교통사고와 밀접한 연관성이 있다. 국외의 속도변화와 사고위험 간 관계 관련 연구에서는 평균속도와 속도 표준편차가 증가하면 사고율도 증가한다고 제시하고 있지만, 국내 연구에서는 속도와 사고위험간의 관계 수립이 미흡한 실정이다. 따라서 본 연구에서는 루프검지기 속도자료와 고속도로 사고자료를 이용하여 속도를 이용한 고속도로 구간 사고율 예측모형을 개발하였다. 경부고속도로 2005~2009년의 5년 간 천안~양재 양방향 총 22구간에서 발생한 486건의 사고자료와 구간별 루프검지기 자료를 기초로 분석을 수행하였다. 종속변수를 사고율로 설정하고, 중앙 집중화경향을 나타내는 값과, 변동성을 나타내는 값, 연평균 일 교통량, 구간길이 등을 통해 산출한 구간정보 변수를 독립변수 후보로 설정하였다. 통계적 분석을 통해 사고율에 직접적으로 영향을 미치는 변수를 설정한 결과 중앙값, 최소값, 표준편차를 독립변수로 설정하였다. 모형수립 결과 실제 사고율과 예측 사고율간의 높은 상관도를 보였다. 본 연구에서 개발한 모형은 속도변화에 의한 교통안전 위험도 분석에 효과적으로 사용되어 다양한 교통정책 및 운영관리전략 시행에 따른 교통안전 효과분석시 유용한 도구로서 활용될 수 있을 것으로 기대된다.

• 한국안전학회지
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• 제33권5호
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• pp.28-34
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• 2018

Recently, various engineering approaches have been widely used in the accident investigation field to identify the cause of the accident and to predict damage by accident. Computational analysis is the most commonly used method of accident investigation technique. This technique is mainly used to identify the mechanism of the accident generation and to determine the cause when it is difficult to reproduce the situation at the time of the accident or when it is impossible to perform a reproduction experiment. In this study, The computational fluid dynamics analysis for nitrogen asphyxiation accident generated by defect of building structural between diffusion outlet and cooling tower was performed to determine the inflow path of the suffocation gas, death possibility by concentration of suffocation gas and predicted the time of death due to the accident using 3D modeling and FLACS program. We can quantify diffusion concentration of asphyxiation gas and predict mechanism of death occurrence by accident and evaluate the consequence Analysis through this study. In the future, This method can be widely used in the field of gas safety by improving the reliability and validity of the analysis.

• 한국안전학회지
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• 제29권2호
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• pp.76-81
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• 2014

Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

• 대한교통학회지
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• 제31권3호
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• pp.19-32
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• 2013

본 연구의 목적은 그간 교통안전 정책에서 간과되어온 어린이 보행자 횡단행태에 대한 분석을 통해 향후 어린이 교통안전 정책을 개선하기 위한 기초자료를 제공함에 있다. 어린이 횡단행태 분석은 물리적 형태와 사고발생빈도가 상이한 어린이 보호구역에서의 횡단행태 및 패턴의 차이를 비교하는 부분에 초점을 두고 이루어졌다. 자료는 경기도 7개 초등학교 비신호 횡단보도를 대상으로 현장관찰과 비디오 녹화를 통해 수집하였으며, 통계분석, CHAID 알고리즘 분석, 통행 패턴비교를 실시하였다. 분석결과, 사고발생 빈도와 유의한 관계가 있는 횡단특성은 대기유무, 주의유무, 특이행동 유무 순으로 나타났다. 구체적으로 사고발생빈도가 낮은 지점에서 대기후 횡단하는 비율이 69.1%인 반면, 사고다발지점에서 대기를 하지 않고 횡단하는 경우가 83.6%로 상이함을 확인하였다. 횡단 전 대기 및 주의 정도는 횡단 시작부 보도폭이 넓고 학교 출구에서 횡단보도까지 거리가 일정규모 이상일 때 높게 나타났다. 한편, 횡단패턴과 사고발생빈도의 관계성은 뚜렷하게 나타나지 않았다. 향후 어린이 보호구역의 안전성 개선을 위해서는 대기 후 통행이 이루어질 수 있도록 각 보호구역에서의 어린이 횡단특성에 기반한 차별화된 맞춤형 접근이 긴요할 것으로 판단된다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.724-730
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• 2011

A turnout serves to switch train from one line to another. The turnout consists of a Point which is switchs the rail to induce direction, and a Crossing which is cross over two line on the plane surface, and a Lead where is middle section in Point to Crossing. Point machine, consists of a turnout, is important facilities in railway signal, that is safety issue relates in derailment of the train. Recently, train delay and accident frequently occurred because of the turnout include in a point machine trouble of electrical and mechanical. So in order to prevent train accident the research is advanced, install of normal and reverse indication lamp in a point machine, development of adherence detector for sensing the status of adhesion between the stock rails and tongue rails etc. In this paper investigates the problem which is connected with a turnout trouble, include in a point machine, occurrence at the time of train accident, and then proposed to the safety system model in order to prevent the train accident in turnout.