• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.45-46
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• 2019

Accident rate in domestic construction industry has been increased rapidly in every year. In particular, the rate of death has been shown very high compared with other industries. It means that safety activities performed by government is not effective in reducing the rate of accident. To solve these problems, the risk factors should be predicted in advance, controlled, monitored and managed from start of project to end of project. However, most studies have been conducted by using frequency of occurrence of accident and only listed the importance of risk. Therefore, the objective of this study is to provide basic material to develop risk quantifying model for human accidents on construction site in South Korea. In the future, it is expected to be used as a reference of study on developing safety mangement checklist in construction industry and model for forecasting accident.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.77-85
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• 2019

Death accidents rates in construction industry is increasing high recently. Such a phenomenon may be seen as a limitation of current management methods and legal actions. Therefore, purpose of this study was to find priorities of construction Workers safety activities related to motivational factors and to check perception differences between construction workers and construction engineers and to find a main factor of workers attitude, behavioral causes and find a way to reduce the accidents causing in construction industry. For the research, we did a survey with construction workers and construction engineers asking about 3 top motivators 'economic, environmental, safety, cultural, and administrative factors' in 21 details. According to the survey, the biggest difference between construction workers and construction engineers was about a working environment and safety cultural factors. Also, workers and engineers were both positive about safety incentive. Based on the results of this study, safety accidents will be reduced through worker-oriented management.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.66-73
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• 2019

Thanks to various efforts to reduce disasters by the government and the Health and Safety Authority, disasters across industries and the construction industry show their reduction trend. However, the falling disasters in the construction industry have not decreased and increased on the contrary. Especially falling disaster caused by Hanging Scaffolding is the most critical disaster which shows low occurrence frequency but is directly connected to death of worker. The working environment for Hanging Scaffolding is poor in domestic construction site. In particular, the Hanging Scaffolding workers in small construction sites are not on the safety control and management by anyone for their works. They are driven to unsafe working condition with mostly uncertified facilities which are made by themselves. Therefore, this study is focused on searching falling disaster factors from the 242 disaster cases caused by Hanging Scaffolding Work in 15 years presented by KOSHA, and trying to provide suggestions for improvement. The improvement of the method of work requires facility improvement and work due to high accident rate caused by unsafe behavior. Analysis of the case of a disaster occurring over the past 15 years shows that no disaster occurred due to problems in the order of operations presented by KOSHA. However, it was found that many accidents resulted from death caused by safety belts not being installed or attached to ropes using safety belts without following the order of work. The most important aspect of improving the work method was the installation and wearing of lifeboats and safety belts.

• Journal of the Korean Institute of Rural Architecture
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• v.16 no.1
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• pp.95-102
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• 2014

The number of industrial accident victims in the construction industry accounts for 1/3 of those in the entire industries and about 30% of the total compensation costs are spent in the construction industry. As such, the construction industry is a typical industry causing numerous safety accidents. This study analyzes the status of industrial accidents in small scale construction sites to build maximum five-story buildings by examining statistical data for the past five years, investigating those construction sites and conducting interviews with the workers. This study also seeks the causes of and measures for industrial accidents in the small scale construction industry through comparison with relevant systems. The findings are as follows: (1) To reduce hazard rate, shaping the working environment and safety measures that take into account the physically weak classes of the middle aged and the aging are urgently required, because 62.9% of the industrial accidents in the construction industry occurred to those who are 50 years of age or older. (2) The hazard rate at small scale construction sites with less than 10 construction workers accounts for 55% of that of the entire industries. The government, in this context, needs to support finance or technology and improve system by selecting the small scale construction sites, where industrial accidents occur frequently. (3) Because the hazard rate of unskilled workers with less than 6 months of work experience accounts for 90.95% of the total, safety education needs to be concentrated on those unskilled workers. (4) The relevant standards need to be segmented and revised and bolstered, given that 64.79% of death disaster in the construction industry occurs in the temporary structures including scaffolds and ladders.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.1
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• pp.99-107
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• 2023

Recently, the rate of death and safety accidents at construction sites is the highest among all kinds of industries. In order to apply artificial intelligence technology to construction sites, it is essential to secure a dataset which can be used as a basic training data. In this paper, a number of image data were collected through actual construction site, for which major construction equipment objects mainly operated in civil engineering sites were defined. The optimal training dataset construction was completed by annotation process of about 90,000 image dataset. Reliability of the dataset was verified with the mAP of over 90 % in use of YOLO, a representative model in the field of object detection. The construction equipment training dataset built in this study has been released which is currently available on the public data portal of the Ministry of Public Administration and Security. This dataset is expected to be freely used for any application of object detection technology on construction sites especially in the field of construction safety in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.843-852
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• 2022

Despite continuous safety management, the death rate of construction workers is not decreasing every year. Accordingly, various studies are in progress to prevent construction site accidents. In this paper, we developed an AI-based priority inspection target selection model that preferentially selects sites are expected to cause construction accidents among construction sites with construction costs of less than 5 billion won (KRW). In particular, Random Forest (90.48 % of accident prediction AUC-ROC) showed the best performance among applied AI algorithms (Classification analysis). The main factors causing construction accidents were construction costs, total number of construction days and the number of construction performance evaluations. In this study an ROI (return of investment) of about 917.7 % can be predicted over 8 years as a result of better efficiency of manual inspections human resource and a preemptive response to construction accidents.

• Safety and Health at Work
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• v.13 no.1
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• pp.117-125
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• 2022

Background: External-cause mortality is an important public health issue worldwide. Considering its significance to workers' health and inequalities across industries, we aimed to describe the state of external-cause mortality and investigate its difference by industry in Republic of Korea based on data for 2018. Methods: Data obtained from the Statistics Korea and Korean Employment Information System were used. External causes of death were divided into three categories (suicide, transport accident, and others), and death occurred during employment period or within 90 days after unemployment was regarded as workers' death. We calculated age- and sex-standardized mortalities per 100,000, standardized mortality ratios (SMRs) compared to the general population and total workers, and mortality rate ratios (RRs) across industries using information and communication as a reference. Correlation analyses between income, education, and mortality were conducted. Results: Age- and sex-standardized external-cause mortality per 100,000 in all workers was 29.4 (suicide: 16.2, transport accident: 6.6, others: 6.6). Compared to the general population, all external-cause and suicide SMRs were significantly lower; however, there was no significant difference in transport accidents. When compared to total workers, wholesale, transportation, and business facilities management showed higher SMR for suicide, and agriculture, forestry, and fishing, mining and quarrying, construction, transportation and storage, and public administration and defense showed higher SMR for transport accidents. A moderate to strong negative correlation was observed between education level and mortality (both age- and sex-standardized mortality rates and SMR compared to the general population). Conclusion: Inequalities in external-cause mortalities from suicide, transport accidents, and other causes were found. For reducing the differences, improved policies are needed for industries with higher mortalities.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.179-186
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• 2019

Identifying potential accidents at construction sites is a major concern for the construction industry, and, according to the Korea Occupational Safety and Health Agency, the death rate of safety accidents caused by construction equipment is particularly high at 19.8% as of 2016. Although Internet of Things (IoT) has not been applied widely in construction sites, it can build an operating system that feeds accurate and useful information to construction accident management for identifying potential accidents. In this context, this study proposes an IoT- and RTLS-based construction equipment safety accident prevention system, which can be useful for preventing and managing safety accidents caused by construction equipment. Future deployment of such system would contribute not only to the safety of workers but also to efficient equipment and manpower operation.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.81-88
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• 2019

Recently, the government has shown a decrease in disaster accidents throughout the industry and construction industry due to various efforts to reduce disasters. However, the fall accidents in the construction industry are not decreasing but increasing. In particular, the fall accident caused by scaffolding is low each year, but the disaster intensity is very high in that it directly leads to the death of workers. Scaffolding working environment in domestic construction industry is very poor. Moreover, scaffold workers in small construction sites are not subject to safety oversight and control. Therefore, this study is the installation and non-installation of the vertical lifeline, which is the most fundamental problem to be prevented during the study, to prevent the fall of the moon scaffold. In addition, it is hoped that it will be a solution for preventing accidents in construction site construction through the identification of various causes of disasters such as rope loosening, rope breaking, and fixed point failure.

• Asian Journal of Business Environment
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• v.4 no.1
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• pp.25-35
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• 2014

Purpose - Appropriate project management knowledge as well as its effective application in the construction industry increase construction quality and, therefore, reduce fatalities and destruction. Research design, data, and methodology - This study was conducted through a comparative analysis of earthquake fatalities in Iran, Turkey, Pakistan, Indonesia, China, Haiti, Japan, and the United States of America. The data was analyzed using a frequency study. The analysis contrasts the fatalities of some of the strongest earthquakes around the world between 1960 and 2010. Results - Poor quality construction practices and a lack of effective application of project management knowledge play a major role in the vast destruction, high death toll, and dismal tragedies that are associated with earthquakes, especially in Iran. Conclusions - Despite the history of tragic earthquakes and their continuing recurrence, this study attempts to make governments, companies, and disaster management personnel aware of the dangers of poor quality construction and the deficient application of project management knowledge and, further, accentuates effective ways to prevent the probability of serious damage in future. This study contains valuable information on the effects of project management application towards reducing earthquake fatalities and destruction.