• International conference on construction engineering and project management
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• 2022.06a
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.310-317
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• 2020

Purpose: In this study, the characteristics of hazardous chemical transport vehicle accidents during the last six years from 2014 to 2019 was analyzed. This study is to prevent chemical transport accidents. Method: Using statistics from the Ministry of Environment, chemical transport vehicle accidents were classified into accident type, accident cause and vehicle type. Result: Of the total 506 cases chemical accidents, 105 cases were caused by transport vehicle. More than 20 percent of total accidents were reported. Most of the accidents were caused by spill·leak. The main causes of the accident were traffic accidents(49 cases) and management negligence(29 cases). This was more than 74% of all transport vehicle accidents. By vehicle type, 57 cases(54%) were most common in tank lorries, followed by trucks (39 cases, 37%) and trailers (9 cases, 9%). Conclusion: In order to prevent accident of transport vehicle, thorough inspection of the transport vehicle is required and safe operation of the driver. In addition, the government needs to expand real-time monitoring of transport vehicles and comprehensively manage different systems by the relevant ministries.

• Fire Science and Engineering
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• v.30 no.6
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• pp.23-30
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• 2016

This study analyzed the characteristics of chemical accidents, including the accidents occurring each year according to status, type of accident, accident cause for chemical substance transporting accidents. The major aim of this study was to provide information on the chemical accidents that occurred involving chemical substance transporting accidents from 2013 to July - 2016. The total incidence of chemical transporting accidents was 77 cases; 74 cases occurred by the spill & leakage type. The main cause of the accidents analyzed was traffic accidents (41 cases). Forty-six accidents were related to hazardous chemical substances. Among the 46 hazardous chemical substances involved in transporting chemical accidents, 46% of the accident substances were hydrogen chloride. For the prevention and response to accidents occurring during the transportation of chemicals, it is necessary to complement the precautions for chemical accidents caused by transportation accidents and chemical spills and leaks of chemicals. In addition, when the chemical transport of an accident occurs, it is necessary to apply a chemical transport safety system for chemical transfer.

• Journal of the Korean Society of Safety
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• v.24 no.6
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• pp.111-118
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• 2009

As the construction project gets bigger in scale, the actual construction itself is becoming more complex. The construction accidents occupy 26.18 percent of total death disaster according to the accidents report in 2007. It is the highest figure among the entire industry, and it shows how serious the construction accident is. In order to reduce accidents occurred in the construction industry, we should find the accident characteristics of construction workers by age. In this study, we investigated 589 cases of fatal accidents, and classified them by trades, type of works, the things that caused the accident, how they occurred, and size. We then identified accident characteristics for each group by analysing them in accordance with workers age. The result of analysis showed that in carpenter and common laborer, the number of death accidents increased as the workers age increased. Another characteristics were that the number of death accidents increased as the age increased in finishing work and reinforced concrete construction and in a smaller-scale businesses, respectively. Common labor was the trade with the highest number of death accidents and the laborers of 50 age or higher in age in finishing working type were the most vulnerable to death accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.616-624
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• 2020

This study analyzed the association between the type of transport accident and the associated mortality of elderly inpatients. The findings will contribute to the development and establishment of a systematic and effective policy according to the type of transport accident to reduce the mortality of inpatients. The data on elderly inpatients with transport accidents was extracted from the 2013-2017 Korean National Hospital Discharge In-depth Survey dataset. The data was analyzed by descriptive statistics analysis, chi-square tests and multiple logistic regression analysis. After adjustment for sociodemographic, disease, injury and policy factors, the elderly inpatient deaths due to transport accidents were significantly higher for pedestrian accidents (OR: 2.522 95%, CI: 1.291-4.972), bicycle/cart accidents (OR: 2.809, 95% CI: 1.328-5.942) and motorcycle accidents (OR: 2.330, 95% CI: 1.226-4.819) rather than that for car accidents. Likewise, elderly inpatients have a higher risk of death from other types of transport accidents than those caused by car accidents. However, Korean policies related to transport accidents of elderly inpatients are concentrated on car accidents. Effective policy is needed according to the characteristics of each type of transport accident to reduce the transport accident mortality of elderly inpatients.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.39-48
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• 2023

Recently, the crisis of demographic extinction is rising in Korea more than any other country, and it is difficult for industrial sites to maintain without 'foreign workers'. Industrial accidents and accident deaths of foreign workers account for 7.6% and 12.3% of the total, through an in-depth analysis of fatal accidents in the manufacturing industry, differences and similarities between fatal accidents of foreign workers and all fatal accidents were confirmed in terms of occurrence type, workplace size, length of service, employment type, etc. In this study, customized countermeasures were found.

• Journal of the Korea Safety Management & Science
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• v.24 no.1
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• pp.91-98
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• 2022

Since cranes are a kind of complex human-machine systems, it is almost impossible to completely secure safety with current technologies. Therefore, managerial interventions to prevent human errors are needed for safely operating a crane. The Occupational Safety and Health law states that cabin-type crane operators should have crane drivers' licence and crane-related operators (e.g., pendent-type crane operators, slinging workers) should take a special safety training. However, statistics on industrial accidents showed that fatalities due to crane accidents (185 accidents occurred during 2013~2017) were the highest among hazardous machinery and equipment. To effectively control the crane-related accidents, voices of crane workers need to be analyzed to investigate the current status. This study surveyed perceived causes of crane accidents and status of special safety training for crane workers of 387. The survey revealed that 24.3% of the respondents experienced crane accidents and 31.4% eye-witnessed crane accidents. 79% of the respondents pointed human errors such as improper crane operation and improper slinging as the first cause. Lastly, only 16.7% of the respondents took a professional special safety training; but the rest took lecture-based or incomplete education. The findings of the present study can be applied to improve crane-related policies and special safety training systems.

• Journal of the Korea Institute of Building Construction
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• v.7 no.3
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• pp.115-122
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• 2007

As buildings become higher, larger, and more complex, safety issues for construction workers working at such environments become more important. We analyzed 83 critical accident cases reported to the KOSHA(Korea Occupational Safety & Health Agency) for construction cranes by types of cranes and by patterns of accidents and causes. There are more number of accidents related to mobile cranes than that related to tower cranes, but the numbers of dead were similar in both cases. The most dominant cause of crane accidents was "fall of materials". We also analyzed the cases of crane accidents using the FMEA(Failure Mode and Effect Analysis) in order to set up a priority for safety management and also to prioritize research and development items relating tower cranes. In the process, we tried to eliminate subjective indexes such as an expert group survey and use objective and quantitative indexes. As a result, it was found that critical crane accidents occurs most during the "lifting and translating" activity.

• Journal of the Korean Society of Safety
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• v.20 no.4 s.72
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• pp.130-137
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• 2005

Decision tree algorithm is one of the data mining techniques, which conducts grouping or prediction into several sub-groups from interested groups. This technique can analyze a feature of type on groups and can be used to detect differences in the type of industrial accidents. This paper uses C4.5 algorithm for the feature analysis. The data set consists of 24,887 features through data selection from total data of 25,159 taken from 2 year observation of industrial accidents in Korea For the purpose of this paper, one target value and eight independent variables are detailed by type of industrial accidents. There are 222 total tree nodes and 151 leaf nodes after grouping. This paper Provides an acceptable level of accuracy(%) and error rate(%) in order to measure tree accuracy about created trees. The objective of this paper is to analyze the efficiency of the C4.5 algorithm to classify types of industrial accidents data and thereby identify potential weak points in disaster risk grouping.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.12 no.2
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• pp.59-70
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• 2004

Most of studies on aircraft accidents have been conducted mainly for fixed-wing aircraft, while the studies on helicopter accidents have been done less even though the helicopter accidents occurred quite more than those of the fixed-wing. There are lots of differences between helicopter and fixed-wing accidents, in aspect of causes and occurrence of accidents as well as aerodynamics and operation. In Korea, helicopter accidents have occurred 2 or 3 times annually since 2000, while the number of fixed-wing aircraft accidents has been reduced considerably. The goal of this study is to solve the present safety problems in helicopter accidents by reviewing the characteristics of past accidents and comparing differences between two types of aircraft.