• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.55-60
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• 2020

The purpose of this study is to analyze the influence of the economic and workforce factors on the annual number of occupational accident fatalities occurring at the construction sites. The considered variables of the economic factor are the amount of economic losses caused by industrial accidents, the GDP, and the total monthly wage for each economically active population. And, the variables related to the workforce factor are the number of economically active population, the number of female economically active population, and the number of labor union members. The multiple regression analysis was conducted to determine the effect of two factors on the total number of occupational fatalities in the construction industry. The results show that GDP among considered variables in the economic factor had a statistically significant negative relationship with the number of the construction accident fatalities in the construction industry. Among variables related to the workforce factor, economically active population showed a statistically significant negative relationship with the number of the construction accident fatalities.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.126-126
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• 2018

최근 우리나라는 기후변화로 인한 이상기후 현상 중 가뭄에 대한 발생빈도가 증가하고 있다. 가뭄은 다른 자연재해에 비해 지속기간이 길고 규모가 광범위하여, 사회 경제적인 피해가 크게 발생한다. 이러한 가뭄에 대비하기 위해서는 지역적으로 적합한 가뭄 대책을 수립해야 하며, 이를 위해서는 가뭄 위험도 평가가 선행되어야 한다. 지역적 가뭄 위험도를 평가하기 위해서는 기상학적 요인뿐만 아니라 사회 경제적인 요인에 의한 영향을 고려하는 가뭄 취약성 평가가 수반되어야 한다. 본 연구에서는 지역별 가뭄 취약성 평가를 수행하기 위해, 지역별 용수 수요 및 공급관련 인자와 선행연구에서 정의된 가뭄 위험인자들 중 8개(생활 농업 공업 용수공급량, 인구밀도, 1인당 가용수자원량, 물 자급률, 취수율, 물 이용 공평성)를 선택하였다. 베이지안 네트워크(Bayesian Network) 기법을 통해 선정된 사회 경제적 요인들과 가뭄과의 상관관계를 분석하여 각 지역의 특성을 고려한 가뭄 위험요인별 확률을 산정하였다. 최종적으로 산정된 주요 가뭄 위험요인별 확률을 우선순위에 따른 가중치를 적용하여 지역별 가뭄 취약성지수(Drought Vulnerability Index, DVI)를 산정하였고, 이를 이용하여 우리나라의 행정구역별로 취약성 평가를 수행하고 지도로 표시하였다. 지역별 가뭄 취약성 평가를 수행한 결과 익산, 상주, 완주 순으로 높게 나타났으며, 계룡, 과천, 종로순으로 가장 낮게 산정되었다. 또한 광역자치단체의 평균 가뭄 취약성지수를 산정한 결과 전라북도 지역이 가장 높게 나타났으며, 대구 및 대전광역시가 가장 낮게 나타났다.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.11
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• pp.155-162
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• 2019

The construction industry is the highest safety accident causing industry as 28.55% portion of all industries' accidents in Korea. In particular, falling is the highest accidents type composed of 60.16% among the construction field accidents. Therefore, we analyzed the factors of major disaster affecting the fall accident and then derived feature importances by considering various variables. We used data collected from Korea Occupational Safety & Health Agency (KOSHA) for learning and predicting in the proposed model. We have an effort to predict the degree of occupational fall accidents by using the machine learning model, i.e., Adaboost, short for Adaptive Boosting. Adaboost is a machine learning meta-algorithm which can be used in conjunction with many other types of learning algorithms to improve performance. Decision trees were combined with AdaBoost in this model to predict and classify the degree of occupational fall accidents. HyOperpt was also used to optimize hyperparameters and to combine k-fold cross validation by hierarchy. We extracted and analyzed feature importances and affecting fall disaster by permutation technique. In this study, we verified the degree of fall accidents with predictive accuracy. The machine learning model was also confirmed to be applicable to the safety accident analysis in construction site. In the future, if the safety accident data is accumulated automatically in the network system using IoT(Internet of things) technology in real time in the construction site, it will be possible to analyze the factors and types of accidents according to the site conditions from the real time data.

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.41-51
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• 2019

With the aging of the population and the slowdown of the job market, elderly workers make up a large portion of the construction workforce. Also, due to the nature of the construction industry, where outdoor work is frequent, the weather has a more sensitive impact on elderly workers than on younger ones. The study aims to analyze the degree of weather risks exposed to elderly workers in the construction industry using the measure of work loss days. To that end, construction accidents that affected 28,514 elderly workers in seven cities from 2012 to 2016 (a total of 12,789 days) were analyzed to calculate work loss days per different weather factors. The results show that the elderly workers were seriously affected when the temperature was between $-12^{\circ}C$ and $-10^{\circ}C$, humidity between 55% and 60%, precipitation between 128mm and 181mm, and wind speed between 5.5m/s and 6.5m/s, with the highest work loss days. The combined effects between the weather factors were also analyzed to identify the conditiosn that leaded to high work loss days of elderly workers. This study contributes to effective safety management and pleasant working environment between weather factors and shedding light on the relationship between weather factors and work loss days of elderly workers.

• Journal of the Korea Institute of Building Construction
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• v.13 no.2
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• pp.169-180
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• 2013

This paper presents the path model that defines a causal relationship between the construction workers' personal characteristics and their safety behavior at job-site. The personal characteristics and the safety behaviors which should be incorporated into the theoretical model were identified and established by conducting literature survey.. The model was verified by administrating survey questionnaires to the 399 construction workers who are actively engaged in construction job-sites located in Daegu metropolitan city and Kyungpook province. The data obtained from the respondents were statistically analyzed using SPSS18 and AMOS18. It is confirmed that safety behavior is directly affected by sincerity, openness, and extroversions. In addition, it is indirectly affected by stress reaction, safety motivation, and safety knowledge as well.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.302-306
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• 2010

전 세계적으로 진행 중인 지구온난화와 기후변화의 영향으로 우리나라의 강우특성이 변화하고 있다. 이에 기후변화로 인한 재해 발생요인을 감소시키기 위한 다양한 대책을 검토하고 합리적 대책을 제시하여 이상홍수에 대한 대응방안을 수립할 필요가 있다. 본 연구에서는 이상홍수에 대비한 방재대책을 수립하기 위해, 먼저 이상홍수 발생 시 댐과 같은 대규모 수공구조물의 방류로 인해 하류에 위치한 도시에 피해가 미칠 수 있는 유역을 선정하였다. 이후 선정된 시험유역에서의 이상홍수 발생 시나리오를 작성하여 각 시나리오별 이상홍수의 취약성을 평가하고, 마지막으로 시험유역에 다양한 방재대책을 적용해 적용된 방재대책의 재해저감 능력을 분석하여 적절한 방재 개선안을 도출하는 것을 목표로 하였다. 충주댐의 홍수조절 능력을 초과한 홍수발생 시 충주댐 하류에 위치한 주요 도시인 충주 및 여주에 홍수피해 발생 위험이 증가하게 된다. 본 연구에서는 2006년 7월에 발생했던 홍수사상을 분석하고, 2006년 7월의 실측 강우량보다 1.2~1.5배 큰 강우사상과 PMF가 발생할 경우에 대한 모의를 통해 남한강유역의 홍수 취약성을 분석하였다. 분석된 홍수 취약성을 기초로 충주댐 하류지역의 홍수피해를 줄이기 위해 다양한 홍수저감대책을 고려하였다. 홍수저감대책 중 구조적인 방법으로는 댐 상류지역에 홍수조절지를 건설하는 방안, 신규댐을 건설하여 충주댐과의 연계 운영하는 방안, 댐 하류에 강변저류지를 설치하는 방안 및 홍수발생시 파제를 실시하는 방안을 모의하였고 비구조적인 방법으로는 충주댐의 홍수조절능력을 높여주는 가변제한수위 적용방안을 모의하였다. 그 결과 댐 사이의 연계운영이 적절하게 이루어진다면 구조적인 방법 중 하나인 신규댐을 건설하는 방안이 가장 효과적인 홍수저감대책인 것으로 분석되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.124-124
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• 2019

가뭄은 다른 자연재해들과 달리 복잡한 자연의 순환 시스템에 의해 발생하므로 시기가 명확하지 않으며, 사회 전반에 걸친 큰 규모의 피해가 발생한다. 이러한 피해를 저감하기 위해 가뭄에 대한 다양한 연구들이 진행되고 있다. 가뭄에 대한 기존 연구들을 살펴보면, 강수량과 같은 가뭄의 원인을 중점적으로 다룬 가뭄지수 연구가 대다수이다. 한편, 실제 가뭄 피해에 대한 연구들은 위험 혹은 취약성 분석으로 지수를 산정하는 방법으로 연구되고 있으며 농업 가뭄에 집중한 결과를 제시하고 있다. 본 연구에서는 가뭄 현상의 원인을 제공하는 기상학적 요인뿐 아니라 피해 대상과 대상의 내부시스템 능력에 따른 영향을 고려한 가뭄위험지수(Drought Risk Index, DRI)을 연구하였다. 또한, 생활용수, 농업용수, 공업용수를 고려하여 농업가뭄과 더불어 사회 경제학적 가뭄의 피해 평가가 가능한 통합 DRI를 산정하였다. 크론바흐 알파 계수를 통하여 지수 구성 요소들 간의 신뢰성과 DRI와 실제 가뭄 피해간의 스피어만 상관 계수를 사용하여 국내 유역에 대한 DRI의 타당성을 확인하였고 이를 통해 지수의 적합성을 분석하였다. 결과적으로 기후변화 시나리오를 사용하여 한반도의 2030, 2050, 2080년대 통합 DRI를 제시하였다.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.6
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• pp.3-12
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• 2019

Current risk assessment methods typically determine accident risks embedded in construction projects by combining severity and frequency; however, they do not reflect the characteristics of construction projects. To solve the problem, this study aims to develop a novel risk assessment method that combines severity, frequency, and disaster influence factors (i.e., weather conditions and worker's characteristics) for assessing risks of activities occurring on a construction site actually. In this study, a severity was estimated by death against victims, and a frequency was estimated by the victim rate. The frequency was then converted to probability taking disaster influence factors into account. Thus, instead of considering severity and frequency for assessing the original risks (RO), the proposed method uses severity and probability to yield adjusted risks (RA) for each activity. A case study was conducted to determine if the proposed method works as intended in a real setting. The results show that RA is more sensitive to disaster influence factors than RO and, therefore, is able to assess the actual risks reflecting the working environment and conditions of a construction site. This study contributes to risk management of construction projects by offering a risk assessment method that measures a possibility of potential disasters from the probabilistic perspective. This method would help project managers assess accident risks in a more systematic and quantitative manner.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.437-445
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• 2016

Since typhoon is a critical meteorological disaster, some advanced countries have developed typhoon damage prediction models. However, although South Korea is vulnerable to typhoons, there is still shortage of study in typhoon damage prediction model reflecting the vulnerability of domestic building and features of disaster. Moreover, many studies have been only focused on the characteristics and typhoon and regional characteristics without various influencing factors. Therefore, the objective of this study is to analyze typhoon damage by path and develop to prediction model for building damage ratio by using multiple regression analysis. This study classifies the building damages by typhoon paths to identify influencing factors then the correlation analysis is conducted between building damage ratio and their factors. In addition, a multiple regression analysis is applied to develop a typhoon damage prediction model. Four categories; typhoon information, geography, construction environment, and socio-economy, are used as the independent variables. The results of this study will be used as fundamental material for the typhoon damage prediction model development of South Korea.

• Journal of the Korea Institute of Building Construction
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• v.20 no.1
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• pp.83-91
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• 2020

The recent bridge construction projects is demanded more sophisticated risk management measures and loss forecasts to brace for risk losses from an increase in the trend of bridge construction. This study aims to analyze the risk factors that caused the loss of material in actual bridge construction and to develop a quantified predictive loss model, based on the past record of insurance payment by major domestic insurance companies for bridge construction projects. For the development of quantitative bridge construction loss model, the dependent variable was selected as the loss ratio, i.e., the ratio of insurance payout divided by the total project cost, while the independent variable adopted 1) Technical factors: superstructure type, foundation type, construction method, and bridge length 2) Natural hazards: typhoon and flood 3) Project information: construction period and total project cost. Among the selected independent variables, superstructure type, construction method, and project period were shown to affect the ratio of bridge construction losses. The results of this study can provide government agencies, bridge construction design and construction and insurance companies with the quantitative damage prediction and risk assessment services, using risk indicators and loss prediction functions derived from the findings of this study and can be used as a guideline for future basic bridge risk assessment development research.