• 한국정보시스템학회지:정보시스템연구
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• 제20권3호
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• pp.63-79
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• 2011

Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

• 대한건축학회논문집:구조계
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• 제36권3호
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• pp.135-145
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• 2020

Recently, the disaster rate of the construction industry has increased with high-rise, and complexity of the building, unlike the decrease in the disaster rate in other industries. Although risk assessment is performed to reduce the occurrence of disasters, it is difficult to estimate the risks accurately due to activity in which no disaster has occurred, and inconsistencies in the level of details of work. In this study, in order to evaluate the risk of the major activity for the apartment construction work, the activity was identified by referring to the risk assessment model of construction industry type by the KOSHA. The construction work types and activities were consistently organized in level of work into nine work types and 82 activities were through experts consultation. Analyzing the disaster types that occurred during work through KOSHA disaster cases, calculating the probability of disaster occurrence according to the type of disaster, and combining the probability of disaster with the severity of disaster to estimate the risk assessment method was presented. Using the daily report of the construction site of the apartment, the results of a case study confirmed the validity of the risk calculation method presented in this study.

• 대한건축학회연합논문집
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• 제20권6호
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• pp.25-32
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• 2018

According to the data released by Korea Occupational Safety & Health Agency, construction workers suffering from falling disaster have been increasing continuously for the last five years, and in fact, small and medium construction companies' falling disaster forms over 97% of all every year. This means that to reduce falling disaster significantly, it is needed to get rid of disaster taking place in small and medium construction companies. Here, this study aims to analyze various causes of falling disaster in small and medium construction companies, examine how those factors are correlated with one another, and suggest how to manage the risk of falling disaster effectively. According to the study results, main factors influencing falling disaster in small and medium construction companies are found as follows: Situational Awareness/Risk Perception, Fatigue/Alertness, Communications, Equipment/Facilities, and Personal Protective Equipment (PPE) in the Direct Level, Management/Supervision, Education/Training, and Planning in the Organizational Level, and Management's Commitment to Safety in the Policy Level.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.265-266
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• 2023

Recently, many disasters have occurred due to poor management of construction site. In addition, as legal regulations on safety management at construction sites are strengthened, its importance is being further emphasized. In relation to smart safety management technology, a study was introduced to build an analysis model through various safety-related data collected within construction companies. This model derives quantitative disaster risk about the site level through information related to past disasters and near misses. However, construction work is performed separately by work group of each partner company. There is a limitation in that individual workers cannot directly experience this analysis information. In this study, we propose a method to derive the safety disaster risk of individual work units from disaster risk of the site level. We expect that this study to be helpful for smart safety management technology of construction sites.

• 한국방재안전학회논문집
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• 제13권4호
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• pp.47-63
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• 2020

본 연구는 한국인의 사회재난에 대한 위험인식 수준이 정부에 대한 신뢰에 미치는 영향을 알아보고자 하였다. 이를 위해 사회재난 유형에 따른 재난위험 인식 수준 차이와 사회재난 위험인식 수준이 정부신뢰에 미치는 영향을 분석하였다. 예비조사에서 위험성 정도가 높은 3개 사회재난 유형(조류독감, 미세먼지, 핵발전소)을 추출하였으며, 본 조사는 20세 이상 한국인 성인 남녀 1,109명을 대상으로 실시하였다. 분석결과, 첫째, 사회재난 인식 수준은 사회재난 유형에 따라 차이가 있는 것으로 나타났다. 둘째, 사회재난에 대한 자발성, 개인적 지식, 친숙도, 심각성, 두려움, 회복가능성 위험은 정부신뢰에 영향을 미치지 않는 것으로 나타났다. 셋째, 사회재난에 대한 지연성 위험 인식은 정부신뢰에 긍정적인 영향을 미치는 것으로 나타났다. 넷째, 사회재난에 대한 과학적 지식, 통제가능성, 치명성, 발현시기 위험 인식은 정부신뢰에 부정적인 영향을 미치는 것으로 나타났다. 결론에서는 본 연구의 시사점 및 한계점을 서술하였다.

• 대한안전경영과학회지
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• 제16권3호
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• pp.35-44
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• 2014

This study empirically examines how much effect levels of fatigue and stress of a construction worker have on disaster risks from the perspective of human factors concerning construction disaster risks. To achieve the purpose of this study, a survey was conducted with respect to construction workers working at large construction sites within the metropolitan area. The retrieved survey data were analyzed by using the statistical software programs, SPSS 18.0 and AMOS 8.0. The results of this study do not definitively lead to the conclusion that the level of fatigue or stress of construction workers result in disaster risks. However, it does show that the results vary depending upon the individual approach and treatment of stress and fatigue. In particular, this study revealed that disaster risk levels could increase through unsafe behavior intentions which were established as a mediator variable. Also, with respect to unsafe behavior intentions of construction workers leading to disaster risks, when examining the results that the level of mental fatigue, occupational stress and social-psychological stress of construction workers had a greater significant effect than the level of physical fatigue, this study demonstrates the importance of psychological and mental issues that could be easily overlooked with respect manual labor workers.

• 대한토목학회논문집
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• 제37권4호
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• pp.765-773
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• 2017

2015년 효고행동강령이 종료됨에 따라 2015년 3월 개최된 제3차 세계재난위기경감회의에서 센다이프레임워크가 재해위험경감을 위한 새로운 글로벌 아젠다로 채택되었다. 재해위험경감을 위한 글로벌 아젠다에 대한 지속적인 파악은 글로벌 수준뿐만 아니라 국가 수준에서의 재해위험경감에 있어서도 매우 중요하다. 이에 따라 본 연구에서는 재해위험경감을 위한 글로벌 아젠다가 효고행동강령에서 센다이프레임워크로 전환됨에 따라 아젠다의 주요 변화 내용을 살펴보았으며, 효고행동강령 이행에 대한 국내 주요 성과와 센다이프레임워크 채택에 따른 현재까지의 국내 현황을 분석하였다. 또한 센다이프레임워크는 정책결정에 있어서 과학 및 기술의 역할을 강조하고 있으며, 국내에서 과학기술 분야의 연구 동향을 살펴보았다. 재난관리 단계 중 예방을 위한 노력이 49.9%로 가장 많이 이루어지고 있었으며, 행동우선순위 1 (40.4%)과 4 (35.8%) 관련 계획들이 주로 추진되고 있었다. 재난관리를 위한 과학기술 연구 개발 또한 활발하게 진행되고 있는 것으로 분석되었으나, 행동우선순위 4와 관련된 과제가 79.7%로 대부분을 차지하고 있었으며, 4가지 행동우선순위를 모두 고려한 개발이 필요하다고 할 수 있다. 최근 위성기술, 빅데이터 등의 차세대 방재기술을 활용한 재해관리가 요구되고 있으며, 이를 지원할 수 있는 교육 및 정책 수립을 통해 재해위험경감에 효과적으로 기여할 수 있을 것으로 기대된다.

• 한국도로학회논문집
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• 제16권3호
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• pp.59-66
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• 2014

PURPOSES : This study is to suggest heavy snow risk analysis in Seoul. METHODS : Recently, the increase of extreme weather caused by global warming raises the occurrences of unpredictable natural disasters and the loss potential of human disasters by land use facilities accumulation. It is necessary to develop the risk analysis for the natural and human disasters. RESULTS : In this study, heavy snow risk analysis among natural disasters in Seoul was suggested. The spatial unit of risk analysis level was established for the lines and administrative districts. CONCLUSIONS : The risk analysis was performed using risk matrix of disaster occurrence score and disaster damage score. The components affecting the risk disaster analysis by types were analyzed and the application of heavy snow risk analysis was suggested.

• The Journal of Asian Finance, Economics and Business
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• 제10권1호
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• pp.57-66
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• 2023

There is a strong association between poverty levels and the probability of natural disasters. East Java, however, exhibits a distinct pattern. While the rate of poverty is declining, natural disasters are becoming more severe. Considering that East Java is an area with a high risk of natural disasters and a high poverty rate, this study aims to estimate the effect of environmental preservation and the magnitude of the impact of disasters as measured by the Disaster Risk Index (IRBI) on poverty. The 3SLS model is used on secondary data from 38 districts/cities from 2015 to 2021 as an analytical database. Based on the estimation results, there are 3 findings in this study: (i) the role of government, population development, and economic activity have a strong influence on nature conservation; (ii) nature conservation has a strong influence on disaster risk; and (iii) the disaster risk index has a strong effect on poverty. As a result, areas with a high level of disaster risk have a slower rate of poverty reduction. The role of this research is to show the need for the government's role in improving the quality of natural disaster mitigation anticipation, economic activity, and the role of the population in a sustainable manner.

• 한국안전학회지
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• 제32권3호
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• pp.112-116
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• 2017

This study applied risk indexes to the disaster flow event occurred at Mt. Umyeon region in 2011. A 2D hydrodynamic model was employed to calculate flow characteristics, and the model was validated against two dam break flow problems conducted by Bellos and EU CADAM project. The model performance was shown to be satisfactory. In order to determine which index is more appropriate to assess the vulnerability of debris flow, 3 risk indexes (FII, FHR and VDI) were considered. It was found that VDI, which determines the risk level only by the velocity factor, consistently predicted the risk level corresponding to 6 because the velocity range was widely organized. However, in the case of FII and FHR, the risk was reasonably quantified due to combined consideration of significant factors of flow velocity and debris thickness. Therefore, FII and FHR are expected to be more accurate than VDI. However, two indexes still need to be improved to include major factors such as debris density or material properties.