• Title/Summary/Keyword: Accident Analysis

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Analysis of the Characteristic of Railroad(level-crossing) Accident Frequency (철도 건널목 사고의 발생빈도 특성분석 연구)

  • Park, Jun-Tae;Kang, Pal-Moon;Park, Sung-Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.2
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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.

A study on the classification of consumer types based on food safety attitudes: focusing on the Fukushima nuclear accident

  • Baek, Kyung-Mi;Kim, Sounghun;Koo, Seungmo;Gim, Uhn-Soon
    • Korean Journal of Agricultural Science
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    • v.45 no.4
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    • pp.889-903
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    • 2018
  • The purposes of this study were to classify consumer types and to analyze purchase behavior depending on food safety attitudes related to the Fukushima nuclear accident. Based on the consumer survey data, factor analysis and cluster analysis were done to classify consumer types. Applying factor analysis, six factors with a total variance of 73.4% were extracted from 22 basic variables. The 6 factors were termed 'anxiety from ingesting agricultural and fishery products after the nuclear accident', 'importance of food safety when purchasing food', 'reduced rate of purchases of agricultural and fishery products after the accident', 'importance of food prices', 'socio-demographic characteristics' and 'family composition'. Using cluster analysis, consumers were classified into 5 types using the factor scores of 6 factors. The main results are as follows. For every consumer type, the anxiety about imported agricultural and fishery products was higher than that for domestic products after the nuclear accident. The food safety attitudes of consumers were mainly formed by the socio-demographic characteristics. Consumer types with high-education and high-income responded flexibly to the food safety concerning the accident; especially, the consumer type with a high-income and kids under 19 responded very reasonably to the accident. However, consumer types with a low-income and aged over 50 or less than 30 years were the least responsive to the accident, mainly due to financial restrictions. Thus, we suggest some food safety strategies and policy implications based on consumer type for food safety after the accident.

Analysis of Control Element Assembly Withdrawal at Full Power Accident Scenario Using a Hybrid Conservative and BEPU Approach

  • Kajetan Andrzej Rey;Jan Hruskovic;Aya Diab
    • Nuclear Engineering and Technology
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    • v.55 no.10
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    • pp.3787-3800
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    • 2023
  • Reactivity Initiated Accident (RIA) scenarios require special attention using advanced simulation techniques due to their complexity and importance for nuclear power plant (NPP) safety. While the conservative approach has traditionally been used for safety analysis, it may lead to unrealistic results which calls for the use of best estimate plus uncertainty (BEPU) approach, especially with the current advances in computational power which makes the BEPU analysis feasible. In this work an Uncontrolled Control Element Assembly (CEA) Withdrawal at Full Power accident scenario is analyzed using the BEPU approach by loosely coupling the thermal hydraulics best-estimate system code (RELAP5/SCDAPSIM/MOD3.4) to the statistical analysis software (DAKOTA) using a Python interface. Results from the BEPU analysis indicate that a realistic treatment of the accident scenario yields a larger safety margin and is therefore encouraged for accident analysis as it may enable more economic and flexible operation.

Reliability Evaluation of EDR Data Using PC-Crash & Vbox (Vbox와 PC-Crash를 활용한 EDR 기록정보의 신뢰성 평가)

  • Park, Jongchan;Kim, Jonghyuk;Oh, Wontaek;Choi, Jihun;Park, Jongjin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.3
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    • pp.317-325
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    • 2017
  • The EDR(Event Data Recorder) is a part of the ACU(Airbag Control Unit) functions mounted on a vehicle. EDR data have pre-crash data and post-crash data. Pre-crash data are recorded within 5 sec from time zero(AE) with 0.5 sec resolution, and reveal vehicle speed, engine rotation speed, throttle opening, brake pedal operation, acceleration pedal position and steering angle, etc. Using this EDR data, the investigation of a traffic accident can become more objective and scientific. Crash tests of three vehicles equipped with EDR function had been performed successfully. Evaluation of EDR data reliability had also been performed using Vbox and PC-Crash's sequence table function. Based on the results, we could confirm EDR data's reliability and availability for Traffic Accident Analysis by the series of this process.

A study on quantitative risk assessment of mechanical accidents (사업장의 기계재해 위험성평가에 관환 연구)

  • Han, Ou-Sup
    • Journal of the Society of Disaster Information
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    • v.5 no.2
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    • pp.140-152
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    • 2009
  • Recently the occurrence ratio of mechanical accidents in industrial disaster of korea is increased, but very little accident information has been given regarding the prevention of mechanical accidents. In this study, mechanical accidents by the analysis of industrial accident case was examined. And it was proposed the risk assessment method and building database for investigation of risk factors in mechanical accident. As a result, from mechanical accidents database, it was found that the occurrence ratio of mechanical accident by constriction and falling etc. is very high and death ratio by mechanical accident is larger than that of usual accident. And we applied the quantitative risk assessment method proposed by this study in the mechanical accident analysis of a domestic manufacturer. From the results, the risk factors due to constriction, curling, falling and scattering are principal causes of mechanical accidents. These result is similar to that of the analysis of mechanical accidents for recent 12 years in korea.

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The Problem Analysis and Improvement of Technical Guidance On Construction Accident Prevention (건설재해예방 기술지도의 문제점 분석 및 개선방안)

  • Oh, Heui-Keun;Kim, Yong-Su
    • Journal of the Korea Safety Management & Science
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    • v.18 no.2
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    • pp.19-27
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    • 2016
  • Safety accident rate of small-medium construction site is high. because of lack of safety management system, lack of safety management capacity, lack of investment for safety, Owner's insufficient awareness about safety. In order to improve this, Currently in Occupational Safety and Health Act, Construction site of amounts more than 300 million won less than 120 billion (architectural),150 billion won(civil) mandatory subject to the technical guidance on construction accident prevention. Context of construction accident causes with construction accident rate relationship analysis and case analysis of technical guidance, through a survey of stakeholders in the technical guidance drawn the problems of the construction accident prevention technical guidance system and ways to improve on this.

Implications for the Analysis of Human Error in Railway Accidents (철도 인적오류 사고분석에 대한 시사점)

  • Lee, Ji-Sun;Kim, Man-Woong;Kim, Dong-San;Baek, Dong-Hyun
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1360-1364
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    • 2009
  • The basic concept of analysis of human error that induced railway accident is that errors are consequences, not causes. But in most cases, it is likely that direct causes of the accident could be concluded as real causes, which make it difficult to find out root causes. Design, training, staffing, culture and condition are general category applied to investigate human error. In order to examine how those approach could help accident analysis, this paper studied accident investigation reports of UK RAIB(Rail Accident Investigation Branch). Rather than consider specific investigation method, we focus investigation result on how to describe causal factors and how to indicate recommendations to prevent similar accident. The reports show that they try to find out causes more in organizational, environmental and job factors, which implies the necessity to improve investigation process of human error accident in Korea.

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A Study on the Accident Analysis by Nip Points and Risk Assessment in the Medium and Small Enterprise (중소 제조업의 끼임 재해분석 및 위험성평가 연구 - 경인지역 50인 미만 제조업을 대상으로 -)

  • Yang, Kwang Mo
    • Journal of the Korea Safety Management & Science
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    • v.16 no.2
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    • pp.63-70
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    • 2014
  • As preventive measures have received tremendous attention to prevent any possible accident in advance, many work places have introduced safety and health management systems. However despite of this government's effort, the industrial accident rate of small-scale businesses with less than 50 employees does not decline, which is mainly because the projects are not differentiated according to the risk level of individual business. To evaluate the risk level of small-scale businesses with less than 50 employees and then establish effective safety and health management systems according to the risk level, this study has conducted the following processes. The small-scale businesses with less than 50 employees were evaluated through accident type, and potential accident risk factor was evaluated through location, business type, and business size. The results of this analysis are expected to make contribution to improving the effectiveness of the safety and health management supports to small-scale businesses with less than 50 employees.

Injuries Analysis and Interpretation of Standard Age and Sex in KIDAS Accident Statistics (KIDAS 사고 통계에서 표준 연령 남녀의 상해 분석 및 해석연구)

  • Park, Jiyang;Youn, Younghan
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.1
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    • pp.30-35
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    • 2019
  • KIDAS (Korean In-Depth Accident Study) is a data structure of accident investigation type, vehicle breakage and human injury database. A consortium of research institutes, universities, and medical institutions has been established and operated. KIDAS has the strongest difference from the TAAS (Traffic Accident Analysis System), which is the data of the National Police Agency, that it can grasp the injury information of passengers. In this study, the mean age and weight of the most frequent accident types in the KIDAS accident statistics were calculated to determine the degree of injury according to gender. Through the MADYMO analysis, it is aimed to grasp the difference of dummy injury using commercial dummy models and scaling models are currently used.

Analysis of Relative Risk by Accident Types at Intersections, Crosswalk and Tunnel Sections (교차로, 횡단보도, 터널 구간에서 사고유형에 따른 상대적 위험도 분석)

  • Lee, Hyunmi;Jeon, Gyoseok;Kim, Hyung Jun;Jang, Jeong Ah
    • 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.