• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.719-728
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• 2023

Purpose: Mobile cranes are machines that contribute to high mortality, and the High Risk Factor (SIF) information, which analyzed 2,574 accidental deaths in the construction industry in the past 6 years (2016~2021), resulted in a total of 61 mobile crane accidents. Despite safety measures in the field, it is not used properly. In this study, we present standard risk assessment indicators that contribute to accident prevention. Method: Through expert interviews, fatal accident case analysis, field analysis, and literature research, we present the standard risk assessment index method of the 4M risk assessment method. Result: As a result of analyzing the risk assessment of eight sites, it was concluded that it cannot make a significant contribution to disaster prevention and should be applied as an improvement measure of the Standard Risk Assessment Index Law. Conclusion: Switching to the standard risk assessment index method at construction sites has been proposed to make it easier for health and safety personnel and workers to use, contributing to the reduction of accidents.

• Journal of environmental and Sanitary engineering
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• v.8 no.2
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• pp.11-24
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• 1993

Methodology for health risk assessment has been developed by governmental agencies and research institutions in the United States concerning environmental and industrial health such as Environmental Protection Agency, Pood and Drug Administration, and Occupational Safety and Health Administration. The basic concept, process, and scientific rational of the health risk assessment are discussed in order to introduce this field of research for future application to risk assessment and management in Korea. As environmental criteria for most of the environmental carcinogens and nonfarcinogens are set based on the quantitative risk assessment, this quantitative methodology should be emphasized and studied in Korean situation.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.1-7
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• 2015

The study conducted questionnaire analysis to 413 industrial safety field employees in order to examine the necessity and validity of industrial safety field's 17th neo-job classification based on National Competency standards(NCS). As a result, 50.1% of industrial safety management field and 43.3% of industrial health management field answered that classification details of occupational safety and health management field are classified by job(duty) performance. Industrial safety management field recognizes that management and engineering section play a significant role in their work, while industrial health management field recognizes worker's health care and work environment management and overall control of work environment assessment to be significant in their work. Furthermore, industrial safety management field recognizes that separating qualification and foundation of 'construction safety manager', 'chemicals(safety and health) manager', '(toxic)risk assessment evaluator or risk factor manager' to be highly significant. The study is meaningful in that it suggests industrial safety field's qualification items practical in industrial sites.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1601-1606
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• 2011

The railway system consists of rolling stocks, facilities, electrical system, signaling and operation and so on, organically bound. Recently due to lots of train failures and accidents, especially the derailment related to track irregularity this year, all the people using the train are worried about railway safety and we paved the way for letting them knowing that all components of railway system are so important. As a result, most of developed countries operating railway have used to risk assessment methods about safety management to prevent railroad accidents in advance. The purpose of this paper is to find out how to closely apply to track field for risk assessment methods. Because there is no case to apply to and we're not interested in yet, despite of importance of track, in situations of higher train speed. Therefore, in this study we're going to investigate risk assessment methods and compare enire railway system with track system, eventually we want us try to present to safety management conditions necessary and secure safety improvement in track field.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.53-62
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• 2017

It has come to attention that a risk-assessing organization, that will benchmark a company's safety department, is imperative, following an increase in large-scale SOC-business project, construction of higher-raised buildings, development of underground space; all that have increase accident rates. Having faced problems that arise in firms that demand diversity, complexity and instantaneity, the purpose of the thesis is to arrive at efficient and practical problem-solving means. In order to solve the problems that would surface theoretically during an actual risk assessment, the state of the operation systems of the top five national construction firms having a hazard rate of 0.25 times less than the average rate have been analyzed, while a hierarchal recognition research of the employees who not only function at the operating level but are the practice subjects of a firm, has also been conducted, bringing the main text.

• Geomechanics and Engineering
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• v.22 no.3
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• pp.207-217
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• 2020

Slope reliability analysis and risk assessment for spatially variable soils under rainfall infiltration are important subjects but they have not been well addressed. This lack of study may in part be due to the multiple and diverse evaluation indexes and the low computational efficiency of Monte-Carlo simulations. To remedy this, this paper proposes a highly efficient computational method for investigating random field problems for slopes. First, the probability density evolution method (PDEM) is introduced. This method has high computational efficiency and does not need the tens of thousands of numerical simulation samples required by other methods. Second, the influence of rainfall on slope reliability is investigated, where the reliability is calculated from based on the safety factor curves during the rainfall. Finally, the uncertainty of the sliding mass for the slope random field problem is analyzed. Slope failure consequences are considered to be directly correlated with the sliding mass. Calculations showed that the mass that slides is smaller than the potential sliding mass (shallow surface sliding in rainfall). Sliding mass-based risk assessment is both needed and feasible for engineered slope design. The efficient PDEM is recommended for problems requiring lengthy calculations such as random field problems coupled with rainfall infiltration.

• The Journal of Korea Robotics Society
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• v.14 no.4
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• pp.333-339
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• 2019

Cobots are industrial robots with greatly enhanced safety functions that enable them to work in the same space with workers without protector. Cobots are regulated by the Industrial Safety and Health Act and must be certified according to the manufacturing stage, installation stage and usage stage. The ISO 10218-2 standard applied in the installation phase is difficult to apply in the field. Therefore, it is necessary to develop a risk assessment method based on ISO 12100 standard. This paper proposes a new methodology that combines 'JSA' and 'What-if', which reflects the human error and the lack of known risk factors. Accordingly, a new risk assessment template was proposed and the effectiveness of the developed new template was examined. The current cobot safety regulations need to be unified with safety inspections scheme, and robot safety experts and infrastructures need to be expanded and Robot safety regulations should be unified to 'Robot Act'. Based on this research, risk assessment methods suitable for the field need to be developed additionally, and robot safety regulation needs to be transformed to promote the industry.

• Journal of Preventive Medicine and Public Health
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• v.33 no.1
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• pp.125-133
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• 2000

Objectives : This study uses meta-analysis methodology to examine the statistical consistency and importance of random variation among results of epidemiologic studies of occupational electromagnetic field exposure and leukemia. Methods : Studies for this meta-analysis were identified from previous reviews and by asking researcher active in this field for recommendations. Overall, 27 studies of occupational electromagnetic field exposures and leukemia were reviewed. A variety of meta-analysis statistical methods have been used to assess combined effects, to identify heterogeneity, and to provide a single summary risk estimate based on a set of simiar epidemiologic studies. In this study, classification of exposure metircs on occupational epidemiologic studies are reported for (1) job classification (20 individual studies); (2) leukemia subtypes (13 individual studies); and (3) country (27 individual studies). Results : Results of this study, an inverse-variance weighted pooling of all the data leads to a small but significant elevation in risk of f 1% (OR=1.11, 95% CI : $1.06\sim1.16$) among 27 occupational epidemiologic studies. Publication bias was assessed by the 'fail-safe n' that may be not influence for all combined results exception a few categories, ie, 'power station operators' and 'electric utility workers' by job classification on occupational study. And ail combined odds ratio results were similar for fixed-effects models and random-effects models, with slightly higher risk estimates for the random-effects model in situations where there was significant heterogeneity, ie, Q-statistic significant (p<.05). Conclusions : We found a small elevation in risk of leukemia, but the ubiquitous nature of exposure to electromagnetic fields from workplace makes even a weak association a public health issue of substantial power to influence the present overall conclusion about relationship between electromagnetic fields exposure and leukemia.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.15-25
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• 2022

As the incidence and mortality of serious disasters in the construction industry are the highest, various efforts are being made in Korea to reduce them. Among them, risk assessment is used as data for disaster reduction measures and evaluation of risk factors at the construction stage. However, the existing risk assessment involves the subjectivity of the performer and is vulnerable to the domestic construction site. This study established a DB classification system for risk assessment with the aim of early identification and pre-removal of risks by quantitatively deriving risk factors using BIM in the risk assessment field and presents a methodology for risk assessment using BIM. Through this, prior removal of risks increases the safety of construction workers and reduces additional costs in the field of safety management. In addition, since it can be applied to new construction methods, it improves the understanding of project participants and becomes a tool for communication. This study proposes a framework for deriving quantitative risks based on BIM, and will be used as a base technology in the field of risk assessment using BIM in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.5
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• pp.338-354
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• 2024

With the development of cooperative driving technology, automated driving systems can share dynamic state and intention information in real-time. Accordingly, it has become possible to develop a model that comprehensively represents the influence of multiple vehicles by integrating the shared information to obtain the dynamic state information of all vehicles on the road in real time. This study developed a risk field model that can explain interactions between vehicles in real-time information of vehicles when calculating in an edge RSU in an infrastructure-centered cooperative driving environment to be used to assess the risk of a specific point of an autonomous vehicle and create a safe local route. The model showed that the range of risk influences increased as the velocity increased, the bias changed depending on the direction of acceleration, and caculating time decreases.