• The Journal of Engineering Geology
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• v.27 no.4
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• pp.393-403
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• 2017

Mountain disasters in Korea have caused massive social and economic damage. During the period 2005-2014 there has been an annual average of 7 deaths and disaster recovery costs of 79.8 billion won in the country's 4393 ha of mountainous areas. The primary mountain disasters are landslides on mountain slopes, and secondary debris flows can spread along mountain streams, damaging facilities and settlements in lower areas. Typhoons and local rainfall can cause such disasters, while anthropogenic factors include development that damages the mountainous terrain. The study area was divided into three basins. For each basin, a debris flow vulnerability assessment method was proposed considering FLO-2D analysis results and the local topography, geology, and forestation. To establish an in situ investigation, analysis, and evaluation plan for potential mountain disasters, we selected mountain basins that are potentially vulnerable to mountain disasters through analysis of their mountain slopes and streams. This work suggests the establishment of a comprehensive plan for disaster prevention based on a mountain basin feature.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.45-63
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• 2019

The number of domestic construction company is expanding every year while the construction workers' exposure to disaster risk is increasing due to technological advancements and popularity of high-rise buildings. In particular, the industry faces greater fatalities and severe large scale accidents because of construction industry characteristics including influx of foreign workers with different language and culture, large number of aged workers, outsourcing, high place work, heavy machine construction. The construction industry is labor-intensive, which is to be completed under given timeline and consists of unique working environment with a lot of night shifts. In addition, when a fixed construction budget is not secured, there is less investment in safety management resulting in poor risk management at the construction site. Taking account that the construction industry has higher accident risk rate and fatality rate, risky and unique working environment, and various labor pool from foreign to aged workers, preemptive safety management through risk factor identification is a mandatory requirement for the construction industry and site. The study analyzes about 8,500 cases of construction accidents that occurred over the past 10 years and identified risk factor by construction industry sector to secure a systematic insight for risk management. Based on interrelation analysis between accident types, work types, original cause materials and assailing materials, there is correlation between each analysis factor and work industry. Especially for work types, there is great correlation between work tasks and industry type. For reinforced concrete and earthwork are among the most frequent types of accidents, and they are not only high in frequency of accidents, but also have a high risk in categories of occurrence.

• Journal of the Korea Institute of Building Construction
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• v.19 no.6
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• pp.557-566
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• 2019

The construction industry has the most safety accidents of any of the domestic industries. Special care must be taken because disasters in the construction industry lead to social problems caused by huge property losses and casualties. As a result, there is a growing awareness of disasters occurring in the construction industry, and government departments are tightening their regulations on safety management. In particular, the OSHA (Occupational Safety and Health Agency) focuses on the expansion of protection targets and the clarification of responsibility in the full amendment OSHA. As a result, a study that focuses on the client's responsibility for safety management is needed. In this study, the project performance capability assessment of construction project management contractors, which is being carried out with uniform assessment criteria without considering the characteristics of the construction project, is considered and all the amendments to the OSHA are considered, and the factors were derived for improvement measures.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.473-480
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• 2002

재해로 연결되는 앗차사고등 재해의 싹인 위험요인을 사전에 파악하여 제거 대책을 찾기 위한 위험분석 또는 위험도 평가(Risk Assessment)이다. 사업주와 근로자가 합심하여 사업장내의 위험요인(불안전한 형태와 행동)을 자율적으로 찾아내고 제거대책 수립 및 실행을 통하여 근로자의 안전$\cdot$보건을 확보하는 것이 핵심이다.(중략)

• Korean Journal of Construction Engineering and Management
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• v.11 no.3
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• pp.97-104
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• 2010

The expressway construction work is being recently diversified even the working environments and the working kinds due to getting large scale, complexity, and high technology. The accidents are increasing according to large scale even in construction equipment and to a rise in high-ground work, thereby being required an effort of reducing accidents. However, it is insufficient in a means of coping with the technically safety management of using specific and scientific method. In order to prevent accident, a specific plan is needed that can apply each in variables to safety management by analyzing the accident types and accident factors with statistical method. Accordingly, this study carried out investigate on accidents for 12 years in the expressway construction work, and aimed to analyze characteristics on the accident type and conversion disaster-victim number according to factors with occurrence of accidents. Thus, the empirical analysis was performed. As a result of research, first, as a result of verifying significant difference with accident type by accident factor, the significant difference was shown between a cause for occurrence of accident and height with occurrence of accident. Second, among factors by period, the time with occurrence of accident was indicated to have significant difference from conversion disaster-victim number. Among factors by work condition, the cause for occurrence of accident, the height with occurrence of accident, and the type with occurrence of accident were indicated to have significant difference from conversion disaster-victim number. What suggested by analyzing characteristics in these factors and variables has important significance as a countermeasure for safety management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.4
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• pp.723-733
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• 2016

This study aims to analyze the effects of urban characteristics on the amount of damage caused by natural disasters. It is focused on the areas of a municipal level in Korea. Also, it takes into account the spatial autocorrelation of the damage caused by natural disasters. Moran's I statistics was estimated to examine the spatial autocorrelation in the damage from the study area. Subsequent to evaluating the suitability for spatial regression models and the OLS regression model, the spatial lag model was employed as an empirical analysis for the study. It showed that the increase in residential area leads to the decrease in the amount of natural disaster damage. On the other hand, the increase in green area and river basin is associated with the increase in the damage. As a result of empirical analysis, appropriate policy establishment and implementation about the damage-adding factors is needed in order to reduce the amount of damage in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.6-7
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• 2020

선원의 직무상 재해율은 일반 산업 재해율 보다 12.6배(2018년 기준)높게 유지되고 있다. 이는 일반 산업재해와 선원의 재해 예방을 위한 근거법이 산업안전보건법과 선원법으로 이원화 되어 있고, 이에 따라 재해예방을 위한 제도가 달리 이행되고 있음이 하나의 요인으로 작용한다. 이에 선원법에 명시된 선내안전보건 관련 규정과 산업안전보건법 및 해사노동협약에서 요구하는 재해예방을 위한 규정을 비교분석하여 선원의 재해예방 방안으로 선내안전보건 관련 인명사고 통계 구축 방안에 필요한 시사점을 도출하고자 한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.668-671
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• 2004

일반적으로 재해는 물적인 원인이나, 인적인 원인 또는 두 원인이 함께 작용하여 발생한다. 농업기계관련 재해의 원인은 기계의 성능뿐만 아니라 그 기계가 얼마만큼 인간이 쾌적하고, 안전하게 운전조작을 할 수 있는가에 대한 문제에도 직접적인 원인이 있는 것이다. 본 연구에서는 현재 우리나라에서의 농업기계로 인한 재해실태 조사와 외국선진사례의 분석을 통해 농업기계 작업의 특성을 파악하고, 인간공학 측면에서 농작업 및 농업기계에 대한 분석을 통해 위험요인을 도출하여, 발견된 문제점에 대한 개선방안을 마련하고자 한다. 또한 현재 농업기계에 의한 재해현황, 농업기계작업에 대한 안전지침, 설계에 대한 인간공학적인 지침 및 농업기계 재해예방을 위한 정책적 개선대안을 제시하였다. 이러한 연구는 작업자의 기술 및 상황판단, 시계성, 차체진동 및 의자진동, 의자설계, 캐핀 배치 및 설계, 안전장치 및 보호 장치, 작업환경 등을 농업기계 제조회사가 고려할 수 있도록 하는데 큰 도움을 줄 수 있으며 기계의 인간공학적 개선을 통해 안전한 운전조작을 가능케 하여 농업관련재해의 감소와 재해의 사전예방에도 크게 기여할 것으로 판단된다.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.175-182
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• 2019

We classify topics on fall incidents occurring in construction sites using topic modeling among machine learning techniques and analyze the causes of the accidents according to each topic. In order to apply topic modeling based on latent dirichlet allocation, text data was preprocessed and evaluated with Perplexity score to improve the reliability of the model. The most common falling accidents happened to the daily workers belonging to small construction site. Most of the causes were not operated properly due to lack of safety equipment, inadequacy of arrangement and wearing, and low performance of safety equipment. In order to prevent and reduce the falling accidents, it is important to educate the daily workers of small construction site, arrange the workplace, and check the wearing of personal safety equipment and device.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.338-338
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• 2023

최근 특정 지역에 짧은 시간동안 많은 강우가 내리는 국지성 집중호우가 빈번히 발생하고 있으나, 이에 대한 예측과 대비에도 불구하고 피해는 지속적으로 증가하고 있다. 지속적인 강우량 증가 추이로 시간최대 및 일최대 강우량 관측기록이 해마다 갱신되고, 도시, 하천 및 주요 홍수방어 시설의 설계용량을 초과하는 피해가 발생하고 있다. 다수의 인구가 거주하고 대규모 기반시설이 집중된 도시지역에서 발생하는 집중호우는 심각한 인명 및 재산피해로 이어질 수 있다. 따라서, 부처별 재난의 저감대책은 정량적인 피해규모의 피해금액 예측보다는 설계 빈도에 대한 규모의 크기로 대책을 마련하고 있다. 국내에서는 풍수해 피해를 저감시키기 위해 개발에 따르는 재해영향요인을 개발 사업 시행 이전에 예측·분석하고 적절한 저감대책안을 수립·시행하고 있으나 설계빈도에 대한 규모일 뿐 정량적인 저감대책으로 예방되는 피해금액은 알 수 없다. 본 연구에서는 재해연보를 기반으로 호우재해(호우, 태풍)에 대한 시군구-재해기간의 피해데이터를 1999년부터 2019년까지 총 20년의 빅데이터와 전국 68개 강우관측소를 대상으로 총 20년(1999년 ~ 2019년)의 강우자료를 구축하였다. 머신러닝의 학습별 알고리즘을 조사하여 호우재해 피해데이터의 적용성이 높고 다양한 분야에 적용이 가능한 Neural networks의 분석기술인 ANN기법을 선정하였다 피해데이터의 재해발생기간별 총강우량, 일최대강우량, 총피해금액에 대하여 1999년 ~ 2018년을 학습하고 2019년에 대하여 강우특성과 피해특성의 분석하였다. 분석결과 Neural Networks의 지도학습은 총 6,902개 중 2019년을 제외한 6,414개를 학습하였으며 분석 타깃은 호우재해의 피해규모를 분석할 수 있는 총강우량, 일최대강우량, 총피해금액에 대하여 은닉노드 5개씩 2계층에 대하여 분석하였다.