• 한국도로학회논문집
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• 제13권3호
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• pp.157-165
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• 2011

최근 고속도로 사고발생량은 감소하고 있는 반면 치사율은 증가하는 추세임에 따라 고속도로의 교통사고 감소 및 안전성 향상을 위한 많은 노력이 요구된다. 특히, 고속도로의 경우 사고다발지점의 등급별 관리기준을 선정하여 관리하고 있어 이에 대한 등급별 사고 영향 인자를 파악하는 것이 세부적으로 필요하다. 따라서 본 연구에서는 우리나라에서 가장 이용률이 높은 경부고속도로를 대상으로 해당구간 내 사고지점에 대한 등급별 데이터를 기준으로 주변환경 요인 중 교통사고에 영향을 미치는 요인을 검토하고, 사고특성을 분석하여 사고등급을 결정지을 수 있는 사고예측모형을 개발하였다. 사고관련 변수 중 고정변수인 기하구조를 기준으로 종속변수와 독립변수의 특성을 고려한 수량화이론 제2류 기법을 이용하여 모형을 구축한 결과, 사고등급에 영향을 미치는 변수로는 평면선형의 경우 승합차종과 차대 사람이, 종단구배는 트레일러 특수차량과 차대 사람, 방책시설은 주시태만과 흐린 날씨가 공통인자로 분석되었다.

• 한국가스학회지
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• 제18권4호
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• pp.86-94
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• 2014

화학실험실 사고의 근본원인분석 Map을 개발하기 위하여 석유화학 사고 근본원인분석 Map을 참고하여 3단계 사고 요인 트리(Tree)로 구성된 Map을 작성하였다. 원인 인자 도표(Cause Factor Charting) 방식을 적용하여 실험실 사건 사고 211건을 1~5단계까지 사고 원인을 조사하고, 그 사고의 원인을 EXCEL 프로그램에 입력하였다. 그 후, 그 사고요인들을 유형과 각 단계별로 분류하여, 근본원인분석 Map 초안(draft)을 작성하였다. 또한, 연구실 사건 사고 211건의 근본원인이 근본원인분석 Map초안에 적절한지 재확인하였다. 향후 실험실에서 발생할 수 있는 사고의 원인들을 보완함으로써, 화학실험실에 관한 RCA Map이 개발되었다. 본 연구에서 제시한 근본원인분석 Map을 기반으로 발생빈도를 고려하여 사고 원인을 1~5단계로 나누어 분석한 결과, 3단계 원인은 관리시스템 35.%, 모니터링 12.2%, Human Factor Eng. 15.1%, 교육훈련 12.1% 등의 순으로 나타났다.

• Journal of Preventive Medicine and Public Health
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• 제22권3호
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• pp.313-322
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• 1989

The present status of the traffic accident rate in Korea shows that it is the highest in the world with a continuously increasing trend. Human factors account for 90% of the causes of traffic accidents. Therefore, the purpose of this study was to determine some human factors related to traffic accidents by studying the relationship between health status and traffic accidents. To accomplish this purpose, all taxi companies located in the Seoul area were divided in three groups according to the number of taxi possessed, then some companies in each ?roup were randomly selected for study, and a total of 222 drivers in those selected companies were questioned and examined from April 15 to April 22, 1989. Seventy drivers among 222 had experienced a traffic accident. A $x^2$-test was performed on the data, then, factor analysis and discrminant analysis were executed with the following results: 1. The drivers complaining of gastroenteric symptoms numbered 110(49.5%), which was the major symptom among all drivers complaining of poor health. 2. In the primary analysis, variables related to traffic accidents were divided into general, occupational, and health characteristics. Drivers having no traffic accident experience and drivers having that experience were subjected to question about age, educational level, residential status, monthly average income, working hours and days, degree of satisfaction with their profession and homelife, degree of worry about health. degree of fatigue, medication, drunken driving, and illness, but there were no statistical significances. 3. In the factor analysis, the 8 health variables which cause traffic accidents were classified into 3 common factors which were perceived health factor, sleeping and drunken driving, and visual acuity and smoking factor. Perceived health was the factor which contributed most to explaining accidents. 4. In the discriminant analysis, a correct prediction rate of 68.0% was obtained in the factors of all the characteristics. 5. Degree of sttisfaction with their homelife and educational and economic factor in the general characteristics, degree of satisfaction with their profession in the occupational characteristics, and sleeping and drunken driving in the health characteristics were selected as statistically significant factors to discriminant the traffic accident. 6. Among the factors of the general, occupational, and health characteristics, degree of satisfaction with their homelife, driving experience, family factor, perceived factor were selected as the statistically significant factors.

• 한국자동차공학회논문집
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• 제23권6호
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• pp.615-622
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• 2015

Recently Digital-TachoGraph(DTG) was mounted mandatorily in commercial vehicles(Taxi, Bus, etc.). DTG records accurate and detailed information of the running state of vehicles related to traffic accident, such as Time, Distance, Velocity, RPM, Brake ON/OFF, GPS, Azimuth, Acceleration. Thus those standardized data can play an important role in traffic accident investigation and reconstruction. To develope the accurate and objective method using the DTG data for the reconstruction of traffic accident, we had conducted several tests such as driving test, high speed circuit test, braking test, slalom test at Korea Automobile Testing & Research Institute(KATRI), and collision test at Korea Automobile insurance repair Research and Training center(KART) with the vehicle equipped with several DTG. Development of the program which enables the reading and analysis of the DTG data was followed. In the experiments, we have found velocity error, RPM error, brake signal error and azimuth error in several products, and also non-continuous event data. The cause of these errors was deduced to be related to the correction factor, the durability of electronic parts and the algorithm.

• 대한안전경영과학회지
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• 제17권3호
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• pp.53-63
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• 2015

This study highlights empirically the relationship among major constructs such as accident, fear and anxiety emotion, self-efficacy, and negative spillover of work, focused on the railway drivers. The differentiated factor of this study is in that the experience of accident was posed as exogenous variable. The main statistical tool was Regression. Hypothesis tests based on 201 samples verified that the experience of accidents showed a significant effect on negative spillover of work mediated by fear and anxiety, with moderating effect of self-efficacy between fear and anxiety and negative spillover of work. However, the moderating effect was shown as increasing the degree of negative spillover of work, since the drivers recognized their fear and anxiety accrued by accident experience as uncontrollable. This findings suggest the need for mitigating driver's negative emotion - fear and anxiety - through an introduction of practice such as exemption of settlement obligation in accident site and lowering of the penalty for accident responsibility.

• 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.

• 대한건축학회논문집:구조계
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• 제35권8호
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• pp.157-168
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• 2019

Modular Construction is regarded as having enhanced safety compared to traditional construction since most of modular manufacturing process in plants. Unlike general consideration for safety in modular construction, several industrial accident data and studies have pointed out that the accident rate of modular construction is not enough less as much as the practitioners have expected. It means that there is a clear need for improvement of safety management in modular construction. To enhance safety, it is necessary to identify the type and cause of accident through accident cases in order to prevent safety accident in advance. In this consideration, this study analyzed the types and causes of accidents through root cause analysis procedure with accident cases of U.S. OSHA. The classification was carried out in the order of process type, accident type and cause of accident. By following the classification criteria in this study, the causal factor was derived and the root cause map was created. Based on the analysis results, cross-analysis was conducted and it is shown that activity characteristics of modular construction are related to safety accidents. In addition, prevention methods to reduce safety accident by major activity are presented in terms of organizational, educational and technical aspects. This study contributes that the result can be used as the basic safety management in the manufacturing and construction process of modular construction.

• 대한교통학회지
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• 제28권3호
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• pp.131-143
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• 2010

본 연구에서는 지방부 2차로 도로구간에 대한 사고예측계수를 개발하고자 하였으며, 사고예측계수(AMF)는 설계 안전성 평가시 도로구간의 기하구조적요인, 운영적 요인 등 개별 요소가 사고빈도에 미치는 영향을 반영하는 계수이다. 개발한 지방부 2차로 도로의 사고예측계수항목은 기존문헌과 모형을 통해 횡단보도와 진출입구의 밀도, 지형(산악지), 토지이용도(주거), 중앙분리대의 설치여부로 결정되었다. 사고예측계수의 개발은 모형을 이용한 방법을 채택하였으며 산출된 값에 대해서는 전문가 평가를 통하여 항목의 적정성을 평가하고, AMF의 예측력, 국내도로 특성 반영도 등 두 가지 측면에서 적용성 평가를 수행하였으며 국외의 AMF를 적용했을 시와 비교분석하여 평가하였다. 전문가를 통한 적정성에 대한 평가에서는 개발된 계수의 항목이 전반적으로 적정한 것으로 평가되었으나 토지이용도의 주거 항목의 값에 대하여 과대 예측하는 결과를 유발 할 수 있을 것으로 평가되었다. 한편, 국외의 사고예측계수 및 실제사고와의 비교분석결과는 전체 예측빈도로 판단한 결과, 미국에서 개발 중인 IHSDM과 본 연구의 결과가 실제에 가장 근접하는 것으로 나타났으며 미국 텍사스 RSDS의 값은 전반적으로 결과를 과대 예측하는 것으로 나타났다. 또한 실제 사고발생위험도가 높은 도로구간에 대한 예측은 본 연구의 계수 값을 적용하는 경우 반영도가 더 좋은 것으로 나타났다.

• Journal of Radiation Protection and Research
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• 제47권2호
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• pp.77-85
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• 2022

Background: After the Fukushima Daiichi Nuclear Power Station (FDNPS) accident, a model was developed to estimate the external exposure doses for residents who were expected to return to their homes after evacuation orders were lifted. However, the model's accuracy and uncertainties in parameters used to estimate external doses have not been evaluated. Materials and Methods: The model estimates effective doses based on the integrated ambient dose equivalent (H^*(10)) and life patterns, considering a dose reduction factor to estimate the indoor H^*(10) and a conversion factor from H^*(10) to the effective dose. Because personal dose equivalent (H_p(10)) has been reported to agree well with the effective dose after the FDNPS accident, this study validates the model's accuracy by comparing the estimated effective doses with H_p(10). The H_p(10) and life pattern data were collected for 36 adult participants who lived or worked near the FDNPS in 2019. Results and Discussion: The estimated effective doses correlated significantly with H_p(10); however, the estimated effective doses were lower than H_p(10) for indoor sites. A comparison with the measured indoor H^*(10) showed that the estimated indoor H^*(10) was not underestimated. However, the H_p(10) to H^*(10) ratio indoors, which corresponds to the practical conversion factor from H^*(10) to the effective dose, was significantly larger than the same ratio outdoors, meaning that the conversion factor of 0.6 is not appropriate for indoors due to the changes in irradiation geometry and gamma spectra. This could have led to a lower effective dose than H_p(10). Conclusion: The estimated effective doses correlated significantly with H_p(10), demonstrating the model's applicability for effective dose estimation. However, the lower value of the effective dose indoors could be because the conversion factor did not reflect the actual environment.

• 유통과학연구
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• 제18권5호
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• pp.49-60
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• 2020

Purpose: The primary objective of this research is to propose answers of rider's accident of food retailer in South Korea, in view of business sustainability of food retailer and his precious fate of rider who is a father that has a responsibility to the family. Research design, data, and methodology: We investigated previous studies such as food retailer, delivery, delivery application of mobile, rider's accident and statistics of delivery business agency, motorcycle accident ratio, annual fatalist, and further we analyzed cases of rider's accidents. Results: Rider's accident on the road toward food retailer is serious risky factor to their business reputation, corporate image, because claim amount related to death and physical/mental disability can be heavily damaged to food retailer. The point when rider dies is that rider is a person responsible for supporting his/her family, that is, a life itself issue together with downfall of family. Conclusions: In view of growth of South Korean' delivery rider industry, the authors recommended that focus of stability and sustainablity of both food retailer and delivery rider should establish to executable and practical ideas such as rider's readiness, abandon of speed guarantee, duty of delivery app business and legal aids.