• Journal of the Earthquake Engineering Society of Korea
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• v.22 no.3
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• pp.185-191
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• 2018

Post-earthquake risk assessment technique in Korea is developed in 2013 by National Disaster Management Research Institute, at the same time, related manual and standard regulation is distributed to every local government by National Emergency Management Agency. The objectives of this research are to investigate and evaluate the post-earthquake risk assessment of 9.12 Earthquake (M5.8, Gyeongju City, 2016) and 11.15 Earthquake (M5.4, Pohang City, 2017). To suggest and improve the assessment process of post-earthquake risk, first post-earthquake risk assessment method of advanced foreign countries including US, New Zealand and Japan are compared, and post-earthquake evaluation activities in 9.12 Earthquake and 11.15 Earthquake are analyzed. From the results, it is needed to expand the adapted building and structure types and strengthen the earthquake disaster response capacity of local government.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.105-112
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• 2016

The current study examined the relationships between disaster victims' post-trauma risk and posttraumatic growth, and the mediational role of social support for this relationships. In addition, we tested the hypothesis that income status would moderate the relationship between post-trauma risk and subjective well-being. Two hundred disaster victims completed Post-trauma Risk Checklist (PRC), Posttraumatic growth scale, Social support scale and Concise Measure of Subjective Well-Being (COMOSWB) as well as questions about their demographic characteristics. Results showed that those with high post-trauma risk demonstrated significantly higher levels of posttraumatic growth as compared to those with low post-trauma risk and social support partially mediated this relationship. Also, high levels of post-trauma risk predicted low levels of recent subjective well-being. Participants with high income obtained higher subjective well-being than did those with low income among high post-trauma risk groups. Implications for post-trauma risk and posttraumatic growth are discussed.

• Journal of Korean Society of Disaster and Security
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• v.9 no.2
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• pp.15-21
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• 2016

According to the disaster statistics issued by the Ministry of Public Safety and Security, traffic accidents, fire, collapses and others are classified into twenty-three (23) categories. In the past, disasters were mainly caused by the influence of nature, such as typhoon or drought. On the other hand, as society has become city-centered, social disasters' types, frequencies and scales are becoming more diversified and ever-increasing. However, there are no specific criteria and assessment methods that can measure degrees of social disasters-related risks objectively. Therefore, this study targeted traffic accidents, fire and collapses from major social disasters, utilized data that are related to occurrence rate, scale of casualties and scale of property loss in past eight years, and calculated the disaster risk index using the distance (Euclidean distance) between two points on the 3D spatial coordinates, in order to make the objective assessment by social disaster type possible. These results will enable the objective evaluation of risk index of major social disaster to be used as the foundational data when building the national disaster management system.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.189-216
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• 2019

The frequent occurrence of overwhelming disasters necessitates risk communication systems capable of operating effectively in disaster contexts. Few studies have examined risk communication networks during disasters through social networking services (SNS). This study therefore investigates the patterns of risk communication by comparing Korean and international networks based on the social amplification of risk communication in the context of the Sewol ferry disaster (SFD). In addition, differences in language use and patterns between Korean and international contexts are identified through a semantic analysis using KrKwick, NodeXL, and UCINET. The SFD refers to the sinking of the ferry while carrying 476 people, mostly secondary school students. The results for interpersonal risk communication reveal that the structure of the Korean risk communication network differed from that of the international network. The Korean network was more fragmented, and its clustering was more sparsely knitted based on the impact and physical proximity of the disaster. Semantic networks imply that the physical distance from the disaster affected the content of risk communication, as well as the network pattern.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.356-364
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• 2015

As the modern society becoms industry acceleration and urbanization. Disaster is noticed that loss of life and a huge property loss. In sprit of continuous experience misfortune that reality have nonhigh national consciousness. But government is on the brink of various disaster. Various disaster are becoming larger and larger through industrialization and abnormal climate. The researchers of the study suggest as followers: the selection of a key risk factors throuh vulnerability analysis and risk assessment of disaster. As well suggest as policy direction throuh plan of personalized safety management.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.64-69
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• 2014

Community-based disaster preparedness approaches are increasingly important elements of vulnerability reduction and disaster strategies. They are associated with a policy trend that values the knowledge and capacities of local people. In this research, we describe the community diagnosis method and develop Flood Disaster Risk Reduction Index(FDRRI) for assessment of flood vulnerability. FDRRI is composed of four indicators such as Flood Exposure Indicator(FEI), Sensitivity Indicator(SI), Risk Reduction Indicator(RRI), and Community Preparedness Indicator(CPI). We anticipate to present the guideline for selection national preparedness projects and uplift community's preparedness capacity.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.57-68
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• 2009

Recently, damage scale of human-induced disaster is sharply increased but its occurrences and damages are so uncertain that it is hard to construct a resonable response & mitigation plan for infrastructures. Therefore, the needs for a advanced risk management technique based on a probabilistic and stochastic risk evaluation theory is increased. In this study, these evaluation methods were investigated and a advanced disaster risk evaluation method, which is based on the probabilistic or stochastic risk assessment theory and also is a quantitative evaluation technique, was suggested. With this method, the safety changes as the result of fire damage management for recent 40 years was analyzed. And the result was compared with that of Japan. Through the consilience of the traditional risk assessment method and this method, a stochastical estimation technique for the uncertainty of future disaster's damage could support a cost-effective information for a resonable decision making on disaster mitigation.

• Korea Multimedia Society
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• v.12 no.1
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• pp.32-42
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• 2008

• 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.

• Journal of the Society of Disaster Information
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• v.10 no.3
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• pp.366-372
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• 2014

As the disaster becomes bigger and more complicated and causes massive damage in the society, it becomes important to educate and exercise the people for the disaster response and safety. In this study, the effect of the disaster and safety education on the disaster risk assessment was evaluated. Disaster risk was calculated by the likelihood and consequences. The expert survey was used to evaluate the effect of the education on the likelihood and consequences. The inquiries were divided by the education target which makes different results of the survey. As a result, the disaster risk was reduced upto almost 48% when all people including the government workers and students were educated regularly. The result needs to be verified by the field data analysis. However, it provides the reason why the disaster and safety education is important.