• Title/Summary/Keyword: Accident Frequency

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Study on a Quantitative Risk Assessment of a Large-scale Hydrogen Liquefaction Plant (대형 수소 액화 플랜트의 정량적 위험도 평가에 관한 연구)

  • Do, Kyu Hyung;Han, Yong-Shik;Kim, Myung-Bae;Kim, Taehoon;Choi, Byung-Il
    • Transactions of the Korean hydrogen and new energy society
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    • v.25 no.6
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    • pp.609-619
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    • 2014
  • In the present study, the frequency of the undesired accident was estimated for a quantitative risk assessment of a large-scale hydrogen liquefaction plant. As a representative example, the hydrogen liquefaction plant located in Ingolstadt, Germany was chosen. From the analysis of the liquefaction process and operating conditions, it was found that a $LH_2$ storage tank was one of the most dangerous facilities. Based on the accident scenarios, frequencies of possible accidents were quantitatively evaluated by using both fault tree analysis and event tree analysis. The overall expected frequency of the loss containment of hydrogen from the $LH_2$ storage tank was $6.83{\times}10^{-1}$times/yr (once per 1.5 years). It showed that only 0.1% of the hydrogen release from the $LH_2$ storage tank occurred instantaneously. Also, the incident outcome frequencies were calculated by multiplying the expected frequencies with the conditional probabilities resulting from the event tree diagram for hydrogen release. The results showed that most of the incident outcomes were dominated by fire, which was 71.8% of the entire accident outcome. The rest of the accident (about 27.7%) might have no effect to the population.

An Analysis on the Gender Differences in the Level of Accident Risk using Generalized Linear and Heckman Methods (일반화선형모형과 헤크먼모형을 활용한 성별 자동차사고 위험도 분석)

  • Kim, DaeHwan;Park, HwaGyu
    • 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.

Development of a Voluntary Hazard Assessment Model for Small- and Medium-Sized Ship-building Plants (중소규모 조선업 사업장을 위한 자율 위험성 평가 모델의 개발)

  • Lim, Hyeon-Kyo;Lee, Kyung-Tae;Bae, Dong-Chul;Chang, Seong-Rok
    • Journal of the Korean Society of Safety
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    • v.26 no.2
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    • pp.70-76
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    • 2011
  • Industrial accident frequency in small- and medium-sized ship-building plants is much higher than that of large-sized ones so that safety management activities should be different. In that sense, voluntary hazard assessment would be helpful for small- and medium-sized plants. However, conventional hazard assessment items and methods had some problems that discouraged voluntary participation of plants concerned. This study aimed to develop a new model for small- and medium-sized ship-building plants that can promote and encourage voluntary hazard assessment activities. For that purpose, ship-building process was assumed as a sequence of phases, and accident characteristics were compared with them. From that result, relative weights of accident factors including ship-building phases, accident types, occupational category, accident-induced objects, and hazardous items were determined with accident frequency data and with the help of expert groups. Therefore, for web-based integrative computer programming, a plain but accident data-dependent model was developed, with an additive function for related agencies that want to collect assessment results. It is expected that this model would help small- and medium-sized ship-building plants that wanted not only simple checklists but also effective assessment and management guidelines.

Analysis of Cause of Excavator Safety Accidents according to the Accident Case Study (중대재해사례를 통한 굴삭기 안전사고 원인분석)

  • Seo, Jong-Min;Han, Kap-Kyu;Lim, Ji-Young;Kim, Sun-Kuk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.450-454
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    • 2007
  • In line with the construction projects, which have been increasingly getting larger and complex, safety accident has been on the rise, particularly those in association with the construction equipment. In a bid to prevent the safety accident, it's needed to analyze the cause of such accidents. The thesis was intended to identify the cause of safety accident by reviewing the cases of construction disaster complied by Korea Occupational Safety and Health Agency. The cases subject to study were limited to the accident by excavator. Summarizing the study is as follows. 1) Among the cause of accidents caused by excavator were, in order of high frequency, being caught in equipment or machine, falling, being crashed or bumped. 2) Among the causes of accident were, in order of high frequency, worker's unauthorized presence within the range of equipment operation. inappropriate use, failure of equipment inspection prior to starting work and inappropriate work method. The study is highly expected to pave the foundation for further study as well as to make commitment to mitigating the safety accident.

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Investigation the Farm Work Accidents of the Two-wheel Tractor in Korea. (동력경운기의 농작사업고에 관한 조사연구)

  • 박호석;홍종호;박판규;한성금
    • Journal of Biosystems Engineering
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    • v.3 no.2
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    • pp.126-132
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    • 1978
  • This study was carried out through the survey questionaries in order to get the information for proper operating technique of the two-wheel tractors which are widely used in the farm, and investigated various accidents which occurred during the operation of two-wheel tractors for farm works in 7 Provinces of Korea. The summarized results are as follows ; 1. Annual accident frequency of the two-wheel tractor was 2.07 times, and the average rate of accident was 0.72 times per hour. Its value was the largest in the pre-operations , and the smallest in the threshing operation. 2. The accident distribution according to each month was nearly propertional to the operating hours of the two-wheel tractor. More than 60 % of total accident was concentrated during the rice transplanting and harvesting season. 3. The careless accident was more than 50% of total accident , and inevitable accident about 18% . The rate of careless accident showed the highest in pre-operation such as engine starting, check, and adjustment, and belt change. 4. The serious wounded operator was 7.1 % to total wounded operator , and about 50 % of accident of casualties to operators occurred during haruling operations. 5. The amount of casualties to property was range of 1,000 to 10,000 won, and annual total amount per unit tractor could be estimated to be 10 , 000 won.

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Development of Traffic Accident Frequency Prediction Model in Urban Signalized Intersections with Fuzzy Reasoning and Neural Network Theories (퍼지 및 신경망이론을 이용한 도시부 신호교차로 교통사고예측모형 개발)

  • Kang, Young-Kyun;Kim, Jang-Wook;Lee, Soo-Il;Lee, Soo-Beom
    • International Journal of Highway Engineering
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    • v.13 no.1
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    • pp.69-77
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    • 2011
  • This study is to suggest a methodology to overcome the uncertainty and lack of reliability of data. The fuzzy reasoning model and the neural network model were developed in order to overcome the potential lack of reliability which may occur during the process of data collection. According to the result of comparison with the Poisson regression model, the suggested models showed better performance in the accuracy of the accident frequency prediction. It means that the more accurate accident frequency prediction model can be developed by the process of the uncertainty of raw data and the adjustment of errors in data by learning. Among the suggested models, the performance of the neural network model was better than that of the fuzzy reasoning model. The suggested models can evaluate the safety of signalized intersections in operation and/or planning, and ultimately contribute the reduction of accidents.

A Study on Development of Traffic Accident Merging Index for Local Governments (지방자치단체 교통사고통합지수 개발방안에 관한 연구)

  • Rim, Cheoul-Woong;Cho, Jeong-Kwon;Kim, Su-Yeol;Kim, Ju-Young
    • Journal of the Korean Society of Safety
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    • v.27 no.3
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    • pp.147-152
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    • 2012
  • Traffic Accident Merging Index (TAMI) is developed for TMACS (Traffic Safety Information Management Complex System). TAMI is calculated by combining 'Severity Index' and 'Frequency'. The existing indexes are Traffic deaths per 100,000 population, Traffic deaths per 100,000 inhabitants/per billion veh-km, etc. However, there is no consistency in using them among local governments, so it can create confusion. Moreover, the index level is too complicated to understand. Therefore, this study suggests new traffic safety index, TAMI. It will work to improve the weaknesses and present accurate status of traffic safety in local governments.

Risk Analysis Based on Accident-Category for Railway Work Zones (철도건설현장의 사고유형기반 위험도 분석)

  • Park, Mi-Yun;Choi, Eun-Soo;Park, Joo-Nam;Choi, Seung-Sun
    • 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.

A Survey on the Implementation of Musculoskeletal Disorders Prevention Program in Shipbuilding Industry

  • Kim, Day-Sung
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.1
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    • pp.151-156
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    • 2012
  • Objective: In 2010, the rate of injuries and illnesses in the shipbuilding industry was 1.20, about 1.74 times higher than the average of overall industries(0.69). Musculoskeletal disorders(MSDs) became a major problem since 2000 in shipbuilding industry. The purpose of this study was to provide efficient implementation management through evaluating the economic effectiveness of the Musculoskeletal Disorders Prevention Program(MDPP). Successfully implementing the MDPP in the workplace may decrease the risk of MSDs and therefore reduce MSDs related costs. Methods: Occupational accident index (frequency rate, severity rate, and frequency severity indicator), estimated direct costs, and total occupational accident occurrence rate were provided by analysis of MSDs, statistical analysis of MDPP decreed companies, and data analysis of implementation. Results: The study shows the number of MSDs for MDPP decreed companies decreased 76.2% from 2,319 in 2004 to 551 in 2008. Above all, the number of MSDs decreased 78.7% in Shipbuilding industries. Forty companies (85.1%) showed a decreasing tendency and 27.7% of those had an $R^2$ > 0.7. Similar results were found in severity rate and frequency severity indicator. From these results, it appears there are a number of advantages in implementing the MDPP. Conclusion: MDPP effectiveness was demonstrated by analysing implementation and occupational accident index. A more effective and efficient implementation would take into account business sector, size, policy, and organization of the company.

Agricultural Accidents in Farm Workers (일 지역 농업인의 농작업 재해사고)

  • Kim, Hann-Sook;Choi, Yeon-Hee
    • Research in Community and Public Health Nursing
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    • v.18 no.4
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    • pp.643-650
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    • 2007
  • Purpose: This study was to obtain information regarding to agricultural accidents in farm workers in the Kyungpook area. Methods: A questionnaire survey was carried out for 528 workers from the 1st to 31st of March, 2007. Frequency, percentage, mean and chi-square test with the SPSS program were used to analyze the data. Results: The causes of agricultural accidents include falling(29.0%), overseeing(18.9%), traffic accident(17.4%), putting between machinery(11.7%), crashing(5.3%), fire (0.6%) in the order of frequency. Injuries from agricultural accidents include fracture(44.7%) cerebral bleeding (10.4%), amputation(7.0%), airway obstruction (2.3%) burn(1.9%), drug addiction(1.9%) in the order of frequency. The largest proportion of the subjects of hospital treatment were in their 50s and belonged to the group of high-level economic state. Agricultural machinery collision was the most frequent cause among the subjects of hospital treatment. Conclusion: These results suggest that carelessness can be a potential risk factor for agricultural accidents in farm workers. These findings may give useful information for developing agricultural accident prevention programs for farm workers.

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