• Journal of the Korean Society of Safety
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• v.20 no.1 s.69
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• pp.113-118
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• 2005

This study delivers the actual condition of investment for industrial accident prevention based on survey of 500 construction sites from 'reports far industry safety and health' published by Korea Occupational Safety & Health Agency (KOSHA). The various research techniques were used such as technical statistic analysis for construction industry, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.9-18
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• 2005

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.19-30
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• 2005

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Journal of the Korean Society of Safety
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• v.19 no.4 s.68
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• pp.94-100
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• 2004

This study delivers the actual condition of investment for industrial accident prevention based on survey of 500 construction sites from 'reports for industry safety and health' published by Korea Occupational Safety & Health Agency (KOSHA). The various research techniques were used such as technical statistic analysis for construction industry, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.179-183
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• 2010

The safety accident is one of the formidable issues in construction field, and in order to prevent safety accident, contractors perform safety education, safety control document, meeting with labors, and safety instruction in construction phase. However, safety accident is occurred continuously, it is needed to analyze which factors are affected to safety accident. day of the week, daily construction cost, and daily work task were selected as those factors. The result in this research represented that those factors were not considered as an critical one in safety accident. Because of approach limitation to safety accident, only two case studies were collected. If more safety accident cases are gathered in future study, it will clarify the cause of safety accident and will prevent safety accident.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.247-248
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• 2021

Recently, the government is pursuing to reduce the serious accidents in most industries, including the construction industry, by enacting laws on punishment. The accident rate tends to be depended on the size and type of construction sites, and the accidents occur frequently due to inadequate implementation of safety management system and management standards, especially, in small and medium-sized sites. This study has performed the profiling of 265,000 accident cases on construction sites by attribute analysis such as the ratio of days lost to work, and pattern of days lost to work compared to the size of the construction. It turned out that the proportion of accident cases was high mainly in small-scale construction sites, and long-term labor losses occurred. Shortly, it is necessary to establish an institutional standard for applying a realistic safety management cost calculation and management system centered on small-scale sites. Therefore, this study is expected to be used as fundamental data or guideline for developing a customized safety management and accident prevention system for a worker reflecting the conditions of a construction site in the future.

• Journal of KIBIM
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• v.6 no.2
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• pp.39-46
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• 2016

While institutional matters such as improvement on Basic Guidelines for Construction Safety are greatly concerned to reduce falling accidents at construction sites, there are short of studies on how to practically predict accident signs at construction sites and to preemptively prevent them. As one of existing accident prevention methods, it was attempted to build the early warning system based on standardized accident scenarios to control the situations. However, the investment cost was too high depending on the site situation, and it did not help construction workers directly since it was developed to mainly provide support operational work support to safety managers. In the long run, it would be possible to develop the augmented reality based accident prevention method from the worker perspective by extracting product information from BIM, visually rendering it along with site installation materials term and comparing it with the site situation. However, to make this method effective, the BIM model should be implemented first and the technology that can promptly process site situations should be introduced. Accordingly, it is necessary to identify risk signs through lightweight image processing to promptly respond only with currently available resources. In this study, it was intended to propose the system concept that identified potential risk factors of falling accidents by histogram equalization, which was known as the fastest image processing method presently, used visual words, which could enhance model classification by wording image records, to determine the risk factors and notified them to the work manager.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.71-79
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• 2014

The scale of construction industry recently tends to become bigger and larger in line with development of construction technologies and methods. Although increasing usage of construction machinery has led to improving productivity, reducing schedule and cost, constructions workers have been exposed to unstable work environment, causing more and more accidents. Construction machinery-related laws and regulations has not been enacted and reflected the conditions and circumstances of the construction industry in a timely manner. A various construction machinery and equipments produced and changed in structure randomly are so widely used that related-accidents may occure gradually. Propose a plan for accidents prevention through the analysis of characteristics and cases on construction machinery-related accidents over the past five years from 2009 to 2013.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.121-128
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• 2023

Construction industry is considered as one of the most high-risk industries for work-related injuries and fatalities, accounting for more than half of fatalities in Korea. Advanced countries have recognized the critical role of designers in preventing construction accidents and have established regulations on design for safety. In line with this, the Korean government have also implemented regulations that require owners and designers to review the safety of design outcomes. However, it has been observed that designers face challenges in identifying hazards and integrating design solutions at the design stage mainly due to their shortage of required knowledge and skills. This study aimed to examine design solutions that can be applied to prevent fall accidents in the construction industry, and to establish a relationship between these solutions and fatal fall accidents occurred over the past three years in Korea. This study also analyzed the relationships of four variables (construction type, cost, work type, and fall location) with design solutions. The results indicated that all four variables have significant relationships with design solutions, with fall location showing the strongest relationship. The design solutions and their relationships with fatal fall accidents identified in this study can be utilized in identifying hazard and integrating design solutions to ensure design for safety.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.305-316
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• 2021

Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.