• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.198-207
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• 2013

This study was to examine the effects of risk characteristic and risk perception on risk severity of natural disaster. The findings showed that the risk severity of natural disaster were classified into geographical disaster, storm and flood damage, drought damage. Typhoon among storm and flood damage showed high scores on risk severity of natural disaster. Moreover participants showed high scores on unfamiliar, undiscoverable, and unknown by scientific knowledge among risk characteristic of natural disaster. Second, risk characteristic was significantly correlated to risk perception. Third, risk characteristic influenced positively on risk severity of natural disaster. Especially, risk characteristic had great effect on storm and flood damage among natural disaster. Fourth, risk perception influenced positively on risk severity of natural disaster. Especially, risk perception had great effect on storm and flood damage among natural disaster.

• Journal of the Society of Disaster Information
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• v.14 no.1
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• pp.28-35
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• 2018

The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.6
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• pp.3-12
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• 2019

Current risk assessment methods typically determine accident risks embedded in construction projects by combining severity and frequency; however, they do not reflect the characteristics of construction projects. To solve the problem, this study aims to develop a novel risk assessment method that combines severity, frequency, and disaster influence factors (i.e., weather conditions and worker's characteristics) for assessing risks of activities occurring on a construction site actually. In this study, a severity was estimated by death against victims, and a frequency was estimated by the victim rate. The frequency was then converted to probability taking disaster influence factors into account. Thus, instead of considering severity and frequency for assessing the original risks (RO), the proposed method uses severity and probability to yield adjusted risks (RA) for each activity. A case study was conducted to determine if the proposed method works as intended in a real setting. The results show that RA is more sensitive to disaster influence factors than RO and, therefore, is able to assess the actual risks reflecting the working environment and conditions of a construction site. This study contributes to risk management of construction projects by offering a risk assessment method that measures a possibility of potential disasters from the probabilistic perspective. This method would help project managers assess accident risks in a more systematic and quantitative manner.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.36 no.3
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• pp.135-145
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• 2020

Recently, the disaster rate of the construction industry has increased with high-rise, and complexity of the building, unlike the decrease in the disaster rate in other industries. Although risk assessment is performed to reduce the occurrence of disasters, it is difficult to estimate the risks accurately due to activity in which no disaster has occurred, and inconsistencies in the level of details of work. In this study, in order to evaluate the risk of the major activity for the apartment construction work, the activity was identified by referring to the risk assessment model of construction industry type by the KOSHA. The construction work types and activities were consistently organized in level of work into nine work types and 82 activities were through experts consultation. Analyzing the disaster types that occurred during work through KOSHA disaster cases, calculating the probability of disaster occurrence according to the type of disaster, and combining the probability of disaster with the severity of disaster to estimate the risk assessment method was presented. Using the daily report of the construction site of the apartment, the results of a case study confirmed the validity of the risk calculation method presented in this study.

• Journal of Korean Academy of Nursing
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• v.34 no.4
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• pp.636-645
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• 2004

Purpose. A natural disaster negatively affects children's emotional and behavioral adjustment. The purpose of this paper was to examine the prevalence, symptoms, and correlates of PTSD after the occurrence of Typhoon Rusa. Method. 261 elementary school children living in Kimcheon, which was a devastated rural area in South Korea by Typhoon Rusa, were selected. Data were collected 4 months after the disaster using the PTSD Reaction Index categories recommended by Frederick, severity of PTSD. Results. 12.3% of the children had either moderate or severe PTSD symptoms; 22.7% reported mild symptoms; and the remaining 65% had sub-clinical symptoms of PTSD. The most frequent symptom was recurrenct fear(67.0%). 13% to 17.2% of children exhibited difficulty in concentration, sleep disturbance, and guilt feeling. The regression model of severity of PTSD was composed of the level of exposure to traumatic experiences, grade in school, gender, negative coping style, and social support, and explained 34.3% for PTSD symptoms. Exposure to traumatic experiences was the strongest factor of all predictors. Conclusion. Emotional support from friends and coping style were correlated with PTSD severity. School-based interventions that emphasizes coping with disaster related problems and problem-solving may prove to be useful, and may aid in building close and supportive ties with teachers, classmates, and friends.

• Journal of Korean Academy of Nursing
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• v.33 no.6
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• pp.829-838
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• 2003

Purpose: In South Korea, as growing the need of psychological support in disaster situation psychological assessment on stress after disaster is important to find out the factors affecting coping, and to plan intervention in the community. Method: The volunteers of Korea Redcross who live around K city, and the research team visited all homes at Jirye town, one of the high-impact area, 4 month after the typhoon. One of the family members who is over 18 years old, answered the self-report questionnaire composed of disaster experience, damage, exposure to traumatic event, and posttraumatic stress with IES-K (Impact of Event Scale-korea) He also, described his family members symptom related to re-experiencing, hyper-arousal, and avoidance. Six hundreds households were surveyed. Result: The prevalence of moderate to severe PTSD symptom was 36% of the subjects. The severity of PTSD was affected by gender, economic status and affected by damaged property, physical injury, worsening existing disease, getting infectious disease, amount of experienced traumatic event before disaster, warning, taking shelter, and subjects revealed differences in somatization as severity of PTSD. According to the description, community members had re-experiencing, hyper-arousal and avoidance. Conclusion: At a rural area, South Korea, community members have suffered from psychological distress after disaster. So psychological interventions are required as affecting factors and also to plan for warning and shelter in disaster situation is needed for preventing PTSD.

• Journal of the Korean Society of School Health
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• v.30 no.3
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• pp.344-354
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• 2017

Purpose: The purpose of this study is to assess school health teachers' awareness of the severity of natural disasters and nursing core competencies related to disasters. Methods: This cross-sectional study asked 119 school health teachers to complete structured questionnaires sent by email and mobile phones from Feb to Aug, 2017. Data were analyzed using t-test, ANOVA and multiple regression analysis with SPSS 21.0 statistical program. Results: The predictor that had a significant effect on school health teachers' core competency was the experience with natural disaster safety education. Its explanatory power was 14.3%. Conclusion: The finding of this study suggests a strong need for the implementation of disaster-related education targeting school health teachers in order to improve their disaster management ability.

• Land and Housing Review
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• v.7 no.4
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• pp.315-322
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• 2016

Recently, Ministry of Land, Infrastructure and Transport has amended the law to Design for Safety in working design stage of construction work. There should be informed the disaster likelihood and severity of unit-works to decide risk of unit-works in Design for Safety. Therefore, the construction disaster data of ${\bigcirc}{\bigcirc}$ corporation were classified as 24 unit-works and the disaster likelihood and severity of unit works were analyzed in this study. The safety management level of unit-works which based on analysis data was suggested 3 groups; special management and emphasis management, regular management. The results of this study can be used as basic information to perform Design for Safety in construction. And this information will be able to reduce the disaster.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.420-432
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• 2019

Purpose: This study examined the relationships among disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency among nursing students by identifying the predictors of disaster nursing competency. Methods: The study participants were 306 nursing students in the nursing departments of 3 universities located in G City and J Province. The data was analyzed using descriptive statistics, t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression analysis. Results: The participants' scores for disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency were 5.41±1.68, 4.29±0.46, and 2.84±0.78, respectively. Disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency exhibited positive correlations. The factors influencing disaster nursing competency among nursing students included disaster nursing knowledge, disaster preparedness attitudes, year level, disaster training experience, first-aid training experience, disaster area experience, medical service experience, and disaster severity awareness. These variables explained 17% of the variance in disaster nursing competency. Conclusion: Disaster nursing knowledge and disaster preparedness attitudes was positively related to disaster nursing competency. The findings of this study indicate that it is important to develop and apply education programs aimed at increasing disaster nursing knowledge and enhancing disaster preparedness attitudes among nursing students to improve nursing students' disaster nursing competency.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.440-447
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• 2024

Purpose: The number of registered vehicles in Korea continues to increase. As traffic volume increases gradually due to improved quality of life, the severity of accidents is expected to increase and congestion problems are also expected. Therefore, it is necessary to analyze the accident factors of pointed traffic accidents and non-pointed traffic accidents. Method: The severity of the apical and non-pointed traffic accidents in Incheon Metropolitan City is analyzed by dividing them into apical and non-pointed traffic accidents to investigate the factors affecting the accident. XGBoost machine learning techniques were applied to analyze the severity of pointed and non-pointed traffic accidents and visualized as plot through the results. Result: It was analyzed that during non-peak hours, such as the case of the victim's vehicle type at peak times, the victim's vehicle type and construction machinery are variables that increase the severity of the accident. Conclusion: It is meaningful to derive the seriousness factors of apical and non-pointed accidents, and it is hoped that it will be used to reduce congestion costs by reducing the seriousness of accidents in the case of apical and non-pointed in the future.