• Journal of the Korea Institute of Building Construction
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• v.21 no.2
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• pp.165-174
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• 2021

The construction industry causes the most accidents and fatalities among all industries. Although many efforts have been made to reduce safety accidents in construction, the study on the lost workdays that return to work place is insufficient. Therefore, this study proposes a model that classifies the lost workdays lost into moderate and severity, and derives the importance of variable and analyzes important factors through the trained random forest model. We analyze the learning process of the random forest which is a black box model, and extracted important variables that impact on the severity of the lost workdays through the extracted feature importance. The factors existing inside were analyzed through the extracted variables. The purpose of this study is to analyze the accident case data at the construction site through a random forest model and to review variables that have a high impact on the lost workdays. In the future, this sutdy can apply to improve construction safety management and reduce the accident of industrial accidents.

• 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.

• Bulletin of the Korean Institute for Industrial Safety
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• v.2 no.1
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• pp.24-30
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• 2002

지난해 산업재해로 인한 직·간접적 경제적 손실이 7조2813억원을 넘어서는 것으로 나타나 우리나라 산업현장의 안전 문제가 심각한 수준임을 알려주고 있다. 뿐만 아니라 산업재해로 발생한 근로손실 일수도 약 46834천에 달해 노사분규에 따른 근로손실일수보다 36배나 많은 것으로 나타났다. 이것은 산재로 인하여 산업계뿐만 아니라 경제적으로도 엄청난 손실을 입고 있음에 틀림없다. 산업재해는 산업사회를 살아가면서 불가피하게 당면하는 일이지만 우리나라 재해수준은 경제발전 정도나 규모에 걸맞지 않게 너무 높다는데 문제가 있다. 실제로 우리나라 산업현장에서 산업재해를 당한 근로자는 64년이래 316만 명에 달해 대구시 인구보다 많을 정도다. 이 기간중 사망자만 보더라도 5만1000명으로 7년 동안 베트남 전에서 사망한 군인의 10배 이상이라고 하니 우리나라 산업현장은 가히 '보이지 않는 전쟁'을 치르고 있다고 해도 과언이 아니다.(중략)

• Journal of Korean Society of Disaster and Security
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• v.14 no.4
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• pp.1-7
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• 2021

Although the working environment has changed significantly compared to the past, such as the implementation of the five-day work week and the aging of the population, it is not reflected in the current industrial accident index calculation such as frequency rate, severity rate, and safe T-score. In this study, statistical data were used to understand time-series trends such as increase in life expectancy, working age, shortening of working hours, and average age of death by accident. As a result of time series trend analysis of statistical data, life expectancy increased to 83.3 years, and the legal working age was raised to 65 years due to the aging of the population. Also, with the advent of the 5-day work week since 2001, the average annual working hours decreased to 2008.1 hours. It can be confirmed through statistical data that these phenomena are applied to the current working environment due to a complex action, and these environmental changes affect the calculation results of the industrial accident index.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.463-466
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• 2008

Owing to the characteristics of the construction industry, large number of risk factors exist in construction projects compared to other industries. In the year 2007, due to industrial disaster, there was a loss of about 70 million number of working days and about 3 trillion won of the economic direct loss Economic loss is estimated up to 16trillion won including the indirect loss. Hence, a countermeasure is required to reduce the loss. However, the existing safety management is inefficient because it is based on experiential safety knowledge in the form of safety index, regulations. The purpose of this research is to improve this problem by proposing a quantitative risk assessment methodology. First, the limitation of existing hazard index is analyzed and subsequently variables for assessing degree of risk is established. Finally, these variables are then combined and a quantitative risk assessment methodology is proposed.

• Journal of Preventive Medicine and Public Health
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• v.17 no.1
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• pp.65-73
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• 1984

To assess the status of industrial injuries, a large scale textile company located around Taegu city was selected. And it was investigated from January 1981 to December 1982. After the department for workers safety was established, frequency rate of injury was 9.70 in 1981 and 4.15 in 1982, incidence rate per 1,000 workers was 27.11 in 1981 and 12.96 in 1982, and then, intensity rate was 0.33 in 1981 and 0.01 in 1982. The average duration of working loss was 36.64 days in 1981 and 3.34 in 1982. The incidence rate per 100 workers was 2.3 in annual average, 2.7 in men and 2.0 in women. The monthly incidence rate per 1,000 workers was highest as 3.6 in June; daily incidence rate, lowest as 1.8 on Sunday; and the highest as 14.7 from 10 to 12 o'clock in a day. The frequency by injured parts of body was highest as 42.3% on finger and 14.4% on the other part of hand, and the lower extremities as 14.4% followed. According to the kind of injuries, the laceration was the highest as 46.1%, the next was contusion as 15.4%, and the third was superficial injuries as 6.7%, According to the cause of injuries, the machinery accidents showed the highest as 47.1% and the accidents due to hand tool followed as 16.3%. By underlying cause of injuries, the environmental factors were 13.5% and the human factors 86.5%. The psychologic factors among human factors were the most common as 60.6%.