• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.28 no.3
• /
• pp.312-318
• /
• 2018

Objectives: This study is aimed to illustrate the status of the occupational accident rate, fatality rate, and musculoskeletal disorder rate by safety and health management type in workplaces. Methods: In order to analyze the status of the occupational accident rate, fatality rate, and musculoskeletal disorder rate of different safety and health management types in workplaces, selected data from the Occupational Safety and Health Research Institute were used. Results: The occupational accident rate in workplaces where safety and health managers had been appointed was lower than in those where safety and health management was entrusted to other organizations, while the result was the opposite in regards to the fatality rate per 10,000 workers caused by accident. However, the occupational fatality rate per 10,000 workers in workplaces where safety and health managers have other roles was 426% higher than those where safety and health management was entrusted to other organizations. Moreover, the musculoskeletal disorder rate of the workplaces where safety and health managers have other roles was 15% higher than those where health management was entrusted to other organizations. Conclusions: It is necessary to review the effectiveness of systems in which safety and health managers can concurrently engage in other roles.

• Journal of the Korea Safety Management & Science
• /
• v.24 no.4
• /
• pp.41-47
• /
• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.

• Proceedings of the Safety Management and Science Conference
• /
• 2011.04a
• /
• pp.177-183
• /
• 2011

Korea has performed strategies for the third industrial accident prevention in order to minimize industrial accident. However, the occupational fatality rate and industrial accident rate appears to be stagnated for 11 years. Therefore, this paper forecasts the occupational fatality rate and industrial accident rate for 10 years. Also, this paper applies regression method (RA), exponential smoothing method (ESM), double exponential smoothing method (DESM), autoregressive integrated moving average (ARIMA) model and proposed analytical function method (PAFM) for trend of industrial accident. Finally, this paper suggests fundamental strategies for industrial accident prevention by forecasting of industrial accident rate in the long term.

• Safety and Health at Work
• /
• v.7 no.3
• /
• pp.213-217
• /
• 2016

Background: The objective of this study is to identify high-risk groups for industrial accidents by setting up 2003 as the base year and conducting an in-depth analysis of the trends of major industrial accident indexes the index of industrial accident rate, the index of occupational injury rate, the index of occupational illness and disease rate per 10,000 people, and the index of occupational injury fatality rate per 10,000 people for the past 10 years. Methods: This study selected industrial accident victims, who died or received more than 4 days of medical care benefits, due to occupational accidents and diseases occurring at workplaces, subject to the Industrial Accident Compensation Insurance Act, as the study population. Results: According to the trends of four major indexes by workplace characteristics, the whole industry has shown a decreasing tendency in all four major indexes since the base year (2003); as of 2012, the index of industrial accident rate was 67, while the index of occupational injury fatality rate per 10,000 people was 59. Conclusion: The manufacturing industry, age over 50 years and workplaces with more than 50 employees showed a high severity level of occupational accidents. Male workers showed a higher severity level of occupational accidents than female workers. The employment period of < 3 years and newly hired workers with a relatively shorter working period are likely to have more occupational accidents than others. Overall, an industrial accident prevention policy must be established by concentrating all available resources and capacities of these high-risk groups.

• Journal of the Korean Society of Safety
• /
• v.37 no.6
• /
• pp.128-135
• /
• 2022

The comparative evaluation of occupational accident fatality rates (OAFRs) of different countries is complicated owing to the differences in their level of socio-economic development. However, such evaluation is necessary to assess the national occupational safety and health system of a country. This study proposes a statistical method to compare the OAFRs of countries taking into consideration the difference in their level of socio-economic development. We first collected data on the socio-economic indicators and OAFRs of 11 countries over a 30-year period. Next, based on literature survey and statistical correlation analysis, we selected the significant independent variables and built multiple linear regression models to predict OAFR. We also determined the groups of countries having heterogeneous relationships between the independent variables and OAFRs, which are represented by the regression models. The proposed method is demonstrated by comparing the OAFR of Korea with the OAFRs of 10 other developed countries.

• Safety and Health at Work
• /
• v.3 no.2
• /
• pp.104-109
• /
• 2012

Singapore, an island republic of over 5 million inhabitants, has 3.1 million workers. Most are employed in the service, finance and tourist/transport industry. Significant numbers work in manufacturing, construction and heavy industry. Following a series of construction and shipyard accidents with multiple deaths in 2004, the government announced its intention to reduce workplace fatalities from 4.9 to 2.5 per 100,000 by 2015. There was strong political will to achieve this target. The strategic approaches were to build workplace safety and health (WSH) capabilities; implement legislative changes with enforcement; promote benefits of WSH and recognize best practices, and enhance partnership with stakeholders. The anticipated outcomes were to reduce workplace fatality and injury rates; have WSH as an integral part of business; and establish a progressive and pervasive WSH culture. With these measures, the workplace fatality rate declined from 4.9/100,000 in 2004, to 2.2/100,000 in 2010. However, other confounding factors could also account for this decline, and have to be considered. The next target, announced by Singapore's Prime Minister in 2008, is to further reduce the workplace fatality rate to 1.8/100,000 by 2018, and to have "one of the best workplace safety records in the world".

• Korean Journal of Construction Engineering and Management
• /
• v.15 no.4
• /
• pp.3-10
• /
• 2014

As the income level of a country gets improved, people's social, economic, and cultural expectation will grow at the same time. Although the income level of Korea has been remarkably improved, her work-related fatality rate is the highest among OECD countries. Moreover, the rate hasn't been reduced for more than 10 years. This study aims to provide appropriate measures for work-related fatality reduction by comparing the income levels and the work-related fatality rates of countries and by analysing the problems of our worker-oriented accident prevention policy. For the comparison of income level and work-related fatalities, this study suggests income-level incorporated fatality rate, and it turned out that the rate of Korea is the highest among the countries. In order to find out the causes of that result, this study has found that our law enforcement is much weaker than that of UK, which implicates more strict law enforcement policy is needed to improve our work-related safety.

• Journal of the Korea Safety Management & Science
• /
• v.18 no.1
• /
• pp.9-15
• /
• 2016

In this study, the current regulations to be adequate in industrial site have to be renew in order to prevent the fatal injuries by mobile cranes. Fatal injury analyses were conducted with several accident cases by the mobile cranes. For each accident, the causes of the injuries were examined and proper safety measures were proposed. This study proposed a revision of the standard guideline as an accident prevention measures through in-depth analysis of fatal accidents. First, fatality rate per 10,000 persons by the mobiles cranes was 0.57 in 2011. Second, the in-depth analysis of the mobile crane accidents showed that the main factors of the accidents were the overturn of mobile crane, the fracture of connection part between mobile crane boom and rope, the breaking of rope and the misunderstanding over the signal between a mobile crane driver and workers around a mobile crane. Third, the order of high defection of connecting parts was bucket bolt, bracket and extension parts. Fourth, since there were several cases of overturn of mobile crane by itself in the in-depth analysis of the mobile crane, the over slop-proof device was proposed as the main alternative in this study. Fifth, the revision of standards of safety factor that shall be more than 10, of connecting parts of mobile crane was proposed.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2020.11a
• /
• pp.55-56
• /
• 2020

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.56 no.2
• /
• pp.138-146
• /
• 2020

Stow net fishery is one of the fishery with high fishing work accidents in southwestern sea of Korea. We conducted to serve as basic data for improving the healthy and safe working environment of fisher using risk assessment process (ISO45001) with fishermen's occupational accidents of the National Federation of Fisheries Cooperative (NFFC) from 2016 to 2018. The average occurrence rate of victim in this fishery was 9.04%, 16.7 times more than such rate in all industries. In addition, the average fatality rate was found to have a very serious level management to 31.06‱, 27.7 times more than such rate in all industries. The safety hazards of stow net fishery was more likely to occur by other general industrial groups, with more severe consequences after the accident. According to 4M analysis, 58.6% of all accidents were caused by human factors, 24.0% by environmental factors, 16.0% by mechanical factors, and 1.5% by managerial factors, respectively. The occurrence frequency by accident type was the highest in 187 cases (32.2%) for struck by object, 158 cases (27.2%) for slipping, and 94 cases (16.2%) for being in contact with machinery. Severity is the highest for others such as diseases etc., in the order of being struck by object, being in contact with machinery, falling from above slipping, collapsing, bumping, and burning. Being struck by object, being in contact with machinery, and slipping are high-risk groups, falling from above others, bumping, and burning are medium-risk groups based on the risk assessment using the occurrence frequency and severity of accident. The obtained results are expected to contribute to the safe operation environment subsidy for fishing crews on the stow net fishing vessel.