• Journal of the Korean Society of Safety
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• v.36 no.2
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• pp.80-86
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• 2021

The purpose of this study is to diagnose the level of disaster safety perception (disaster safety importance, accident possibility, personal safety, and regional safety) of local residents, and to analyze the impact of individual and accident cause characteristics. The analysis method used multiple regression analysis, and the main analysis results are as follows. First, disaster safety importance and accident possibility were higher as residents who had experience in safety education and were willing to visit the safety experience center in the province. Second, disaster safety importance was higher as the cause of the accident was the lack of response 119 and police. And accident possibility was higher as the cause of the accident was the lack of prior treatment by the state and local governments. Third, personal safety and regional safety were higher for men, and especially personal safety was lower as residents with children. The results of this study can be used as basic data for establishing regional customized disaster safety policies based on the perception of local residents, who are policy consumers.

• The Korean Journal of Emergency Medical Services
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• v.8 no.1
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• pp.179-187
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• 2004

The purpose of the study was to injury types in Daegu subway fire accident, Sampung department store collapse, Mokpo airport civil aircraft accident, and Buan sunken ship disaster. The conclusion obtained from these analyses are as following. 1. The total of victims were Sampung department store collapse(l440 people). Buan sunken ship disaster(355 people), Daegu subway fire accident(340 people), and Mokpo airport civil aircraft accident(110 people). 2. The total of dead people were Sampung department store collapse(502 people), Buan sunken ship disaster(287 people), Daegu subway fire accident(192 people), and Mokpa airport civil aircraft accident(66 people). 3. The total of injured people were Sampung department store collapse(938 people), Daegu subway fire accident(148 people), Mokpo airport civil aircraft accident(84 people), and Buan sunken ship disaster(67 people). 4. The major types of victims presented smoke inhalation such as coughing, dyspnea, and sore throat in Daegu subway fire accident. 5. The major types of victims presented crushing(multiple fractures), vertebral, and soft tissues injuries in Sampung department store collapse. 6. The major types of victims presented multiple fractures. In addition to, a lot of people showed vertebral injuries and shock symptoms in Mokpo airport civil aircraft accident. 7. The major types of victims presented drowning as well lots of hypothermia patients in Buan sunken ship disaster. There were a wide variety of types in human disaster. Therefore, the most important disaster training program need to each disaster aspect in the local emergency medical services system. Moreover, the emergency medical services personnel should be understand and training for injury types of each human disaster.

• Journal of the Korea Safety Management & Science
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• v.16 no.2
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• pp.53-61
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• 2014

The disaster and safety accidents in any construction site occur inevitably. Since the on-site disaster and accident occurrence became one of major concerning factors in construction site, architects & building executers have been flooded with safety management advices. The purpose of this paper is to survey and analyze the effect of the application of Safety Patrol Management System(SPMS) upon the reduction of disaster & accident occurrences in construction site. In order to estimate and reduce the disaster and accident ratio in construction site, various surveyed data has been analysed. It will establish the suitable design standards and suggest the basic database for estimating disaster and accident ratio.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.19-29
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• 2007

According to industrial disaster statistics by the Ministry of Labor in 2006, out of 11,688,797 people working at 1,292,696 business places that apply Industrial Disaster Indemnity Act, 89,910 workers were involved in an accident that more than 4 days of medical treatment requires. Among this figure 2,453 people lost their precious lives. "89,910 industrial disaster victims per annum" is showing the safety level of our industrial situation. To prevent such industrial disaster, the most typical and distinctive method is Accident-free Campaign. At the beginning, the movement arose with devotion through out the entire industry. But, the heartbreaking fact is that the fever is getting cool gown as times goes by. Therefore, opportunity for revitalization of this movement is required. The movement should be practically supporting principle of respect for human life and dignity. And it should be established with analysis on industrial disaster and systematize Accident-free Campaign totally in connected research.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.163-171
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• 2019

Purpose: Purpose: The National Safety Experience Center Establishment and Reinforcement Project Management Guidelines, established to build a national safety experience center that is central to practicing education on disasters and safety accidents, requires that appropriate experience training programs be in place. However, due to the lack of classification grounds for the six areas of disaster•safety accidents presented by the Ministry of Public Administration and Security, and the mortality statistics necessary for establishing sectors have accumulated for over a decade, they are based on this. Our purpose is to standardize classification of sectors belonging to each area. Methods: We will divide disaster•safety accidents into 6 areas by three steps, and the grounds for 6 areas of accidents are presented. The 15 external causes other than the disease since 2009 has been proposed by The National Statistical Office. Therefore on the basis of these causes, various sectors belonging to each area are classified. Results: We will divide all disaster•safety accidents into six areas through three logical separation stages, and the areas were systematically classified based on the 15 factors of death. In conclusion, we present the grounds for the classification criteria in the six areas, the transportation accident disaster area in three areas, the social infrastructure system area in four areas, the crime accident disaster area in four areas, the life safety accident area in four areas, we set up all disaster•safety accidents in six areas and finally standardize total 25 areas.

• Journal of the Society of Disaster Information
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• v.5 no.2
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• pp.140-152
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• 2009

Recently the occurrence ratio of mechanical accidents in industrial disaster of korea is increased, but very little accident information has been given regarding the prevention of mechanical accidents. In this study, mechanical accidents by the analysis of industrial accident case was examined. And it was proposed the risk assessment method and building database for investigation of risk factors in mechanical accident. As a result, from mechanical accidents database, it was found that the occurrence ratio of mechanical accident by constriction and falling etc. is very high and death ratio by mechanical accident is larger than that of usual accident. And we applied the quantitative risk assessment method proposed by this study in the mechanical accident analysis of a domestic manufacturer. From the results, the risk factors due to constriction, curling, falling and scattering are principal causes of mechanical accidents. These result is similar to that of the analysis of mechanical accidents for recent 12 years in korea.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.03a
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• pp.131-140
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• 2002

Recently, in the whole fields of industry including shipping business, the conception and importance of Human Factor is very highly and frequently emphasized. But the domestic crew disaster including injury and illness in our shipping business shows higher accident rate than other shipping countries. Therefore the developing of measurec to prevent/reduce the accident is highly required as the marine accident including crew disaster cause enormous loss of property and human life in size and scale. But, because the domestic data regarding the crew accident are relatively insufficient and rare, the developing of these measures has many difficulties. Therefore, this study is to make the concerning data for the useful reference by showing the trend and current situation of crew accidents, assorted by the crew's rank, type of the accident, injured part of the body, cause of the accident, type of ships and type of the works when the accident occurred, by using the each ocean-going shipping company's recent 5 years('95∼'99) data in korea.

• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.23-33
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• 2015

Recently, the Ministry of Employment and Labor Management is a trend to strengthen all men death rate than the accident rate. Points reduction in the accident rate change orders related to credit rating score to +2 points in his plans as part of +1 point. In addition, according to the fancy linger RISK treatment in the event of a disaster site and fiction treatment to achieve accident-free during processing the scene interspersed with equity issues have been raised. In general disaster for the problem in the first two cases occurs when abnormal process according to the disaster site manager positions dismissal policy, each division headquarters itself, interspersed disasters performance compared to processing in accordance with the refrain, processing expenses in accordance with the composition of untreated industrial accident, costs and burdens partners FTC, there is a possibility that the issues raised, such as the Ministry of Employment and Labor. In response to domestic social practices focused on the construction site practices and prevention measures should be evaluated with respect to what.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.122-123
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• 2018

Although the disaster rate of the industry as a whole is on a downward trend, the disaster rate of the construction industry is on an ongoing trend. Therefore, in this study, we analyzed safety accident statistical data of the construction site over the past three years. As a result of the analysis, the incidence of disasters at small construction sites was very high. And the proportion of disaster occurred for workers who worked in less than 6 months even roughly 92.6%. In addition, as a result of analyzing the form of disaster occurrence, the crash was 34.1% and the fall was 15.1%. The analysis results of these construction safety accidents are to provide as a basic material for developing a policy that can prevent safety accidents and a safety accident prediction model.