• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1999.06a
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• pp.121-124
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• 1999

항공 산업분야의 사고빈도분석을 위해 개발된 이상트리분석(Fault Tree Analysis) 방법은 최근 들어 넓은 분야에 거쳐 광범위하게 사용되고 있다. 특히 화학공장의 위험성을 평가하는 방법 중 크게 각광받고 있는 정량적 위험성평가의 사고의 빈도를 분석하는 방법으로 그 중요성이 증가되고 있다. 하지만 아직까지 국내 현실은 인식과 데이터의 부족으로 업체 스스로가 시설물의 안전가동을 위해 이러한 분석방법을 수행하기에는 상당히 어려운 점이 많은 실정이다. (중략)

• Journal of the Korean Institute of Gas
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• v.18 no.3
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• pp.60-66
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• 2014

In this study, the overseas failure frequency data of the high-pressure gas pipeline were investigated to apply QRA of high-pressure gas pipeline. The typical overseas failure frequency data of high-pressure gas pipeline are DOT of United States, EGIG of Europe, and UKOPA of United Kingdom (UK). Comparative analysis of these data was shown that EGIG data was suitable for the situation in Korea. In order to apply QRA of high-pressure gas pipeline, non-linear regression analysis using the failure frequency data in the report of EGIG 8th was performed. In the future, intensive researches are required for the external interference because about 50% of the failure frequency of all incidents is the external interference, and for combining of domestic and overseas data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.841-851
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• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• Journal of the Korean Society for Railway
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• v.12 no.2
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• pp.260-266
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• 2009

The theory of risk is applied frequently in analysis of railway accidents. The aim of risk analysis is to search potential causes and contribution factors of accidents by checking the total system of construction field. This paper analyze a pattern and a cause of accident occupied in construction field, calculate risk index considering accident frequency and severity, and then provide the relative risk assessment. Based on this, this paper will provide the methodology of qualitative risk assessment guiding to reach a consistency of risk index with risk assessment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.139-150
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• 2019

Though, fishing vessel accidents account for 70 % of all maritime accidents in Korean waters, most research has focused on identifying causes and developing mitigation policies in an attempt to reduce this rate. However, predicting and evaluating accident risk needs to be done before the implementation of such reduction measures. For this reasons, we havve performed a risk analysis to calculate the risk of accidents and propose a risk criteria matrix with 4 quadrants, within one of which forecasted risk is plotted for the relative comparison of risks. For this research, we considered 9 types of fishing vessel accidents as reported by Korea Maritime Safety Tribunal (KMST). Given that no risk evaluation criteria have been established in Korea, we established a two-dimensional frequency-consequence grid consisting of four quadrants into which paired frequency and consequence for each type of accident are presented. With the simple structure of the evaluation model, one can easily verify the effect of frequency and consequence on the resulting risk within each quadrant. Consequently, these risk evaluation results will help a decision maker employ more realistic risk mitigation measures for accident types situated in different quadrants. As an application of the risk evaluation matrix, accident types were further analyzed using accident causes including human error (factor) and appropriate risk reduction options may be established by comparing the relative frequency and consequence of each accident cause.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.2
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• pp.3-9
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• 2015

Since changes in land use in urban space cause traffic volume and it is closely related to traffic accidents. Therefore, an analysis on the causes of traffic accidents is judged to be an essential factor to establish the measure to reduce traffic accidents. In this regard, the analysis was conducted on the clustering by using the nearest neighbor indexes with regard to the occurrence frequencies of commercial and residential zone based on traffic accident data of the past five years (2009-2013) with the target of local small-medium sized city, Jinju-si. The analysis results, obtained in this study, are as follows: the occurrence frequency of traffic accidents was the highest in spring and the lowest in winter respectively. The clustering of traffic accident occurrence at nighttime was stronger than at daytime. In addition, terms of the analysis on the clustering of traffic accident according to land use, changes according to the seasons was not significant in commercial areas, while clustering density in winter tended to become significantly lower in residential areas. The analysis results of traffic accident types showed that the side-right angle collision of cars was the highest in frequency occurrence, and widespread in both commercial areas and residential areas. These results can provide us with important information to identify the occurrence pattern of traffic accidents in the structure of urban space, and it is expected that they will be appropriately utilized to establish measures to reduce traffic accidents.

• The Korean Journal of Applied Statistics
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• v.27 no.1
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• pp.147-157
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• 2014

Women's roles have changed substantially in economically developed countries; subsequently, the ratio of female drivers has also increased. In such countries, there has been considerable interest in assessing gender differences in vehicle accident risks and reasons to explain the gender differences. This study investigates the gender differences in vehicle accident risk based on 500,000 drivers randomly selected from a population sample. A Heckman model is used for accident damage and a negative binomial model is used for the accident frequency. Empirical results show that male drivers are 8.3% riskier than female drivers in terms of accident damage; however, female drivers are 113% risker than male drivers in term of accident frequency. We can implement more practical policies to reduce vehicle accidents if we can understand the reasons for the gender differences.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.551-555
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• 2012

최근 10년간 해양사고를 분석한 결과 어선은 전체 해양사고의 70퍼센트를 차지하고 있으며, 상선의 경우 충돌 및 좌초 등 운항과실에 의한 발생빈도가 높은 반면에 어선은 조업 중 및 기관구역 사고의 발생빈도가 높다. 또한 해양사고의 총톤수별 분석 결과 총톤수 100톤 미만의 소형선박이 72퍼센트를 차지하였다. 이에 이 글은 다음 7가지를 고려한 어선의 해양사고 방지방안을 제시하고자 한다. 1)충돌사고, 2)어선의 구조 및 설비에 따른 사고, 3) 어선의 전복사고, 4)어선의 기관, 화재, 폭발사고, 5)혼승선박의 비상대응능력, 6)어선의 출항통제기준, 7)동해안의 특성.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.389-397
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• 1998

공공기관에서 발간하는 통계자료들을 살펴보면 대부분 관찰값으로 빈도수나 또는 전체를 기준으로 하여 그 빈도수가 차지하는 퍼센트정도로 나타나 있다. 그러나 우리는 꾸준히 변하는 사회에 살고 있는데 객관적인 자료는 쉽게 설명되지 않으며 이해하기 어렵다. 예를 들어 모든 자동차 사고 가운데 승용차의 사고는 다른 종류보다 제일 많은 60%이상을 차지한다. 그러나 승용차는 등록된 모든 차량종류에서 70% 이상을 점유하고 있으므로 다른 차종보다 사고율은 제일 낮다. 따라서 교통사고 건수가 제일 많은 승용차가 다른 차종에 비하여 제일 사고율이 낮고 가장 안전한 차종이라는 것을 경험할 수 있다. 이 논문에서는 1991년부터 발표된 교통사고에 대한 일반적인 통계자료를 우리들의 생활 속에서 느낄 수 있는 위험 인지도로 바꾸어 계산하여 분석하였다. 차종별, 지역별, 연령별, 도로종류별, 사고 유형별, 교통수단별, 시간별, 법규위반별로 구분된 교통사고의 위험에 대한 인지도를 총 인구수(시도별)와 등록된 여러 종류의 자동차의 대수 또는 여러 종류의 도로 길이 등과 같은 요인들을 고려하여 비교 분석하였다.

• Journal of Korean Society of Transportation
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• v.17 no.1
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• pp.207-222
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• 1999

공공기관에서 발간하는 통계자료들을 살펴보면 대부분 관찰값으로 빈도수나 또는 전체를 기준으로 하여 그 빈도수가 차지하는 퍼센트 정도로 나타나 있다. 그러나 우리는 꾸준히 변하는 사회에 살고 있는데 객관적인 자료는 쉽게 설명되지 않으며 이해하기 어렵다. 예를 들어 모든 자동차 사고 가운데 승용차의 사고는 다른 종류보다 제일 많은 60% 이상을 차지한다. 그러나 승용차는 등록된 모든 차량종류에서 70% 이상을 점유하고 있으므로 다른 차종보다 사고율은 제일 낮다. 따라서 교통사고 건수가 제일 많은 승용차가 다른 차종에 비하여 제일사고율이 낮고 가장 안전한 차종이라는 것을 경험할 수 있다. 이 논문에서는 1991년부터 발표된 교통사고에 대한 일반적인 통계자료를 우리들의 생활 속에서 느낄 수 있는 위험 인지도로 바꾸어 계산하여 분석하였다. 차종별, 지역별, 연령별, 도로종류별, 사고 유형별, 교통수단별, 시간별, 법규위반별로 구분된 교통사고의 위험에 대한 인지도를 총 인구수(시도별)와 등록된 여러 종류의 자동차의 대수 또는 여러 종류의 도로 길이 등과 같은 요인들을 고려하여 비교 분석하였다.