• Journal of Distribution Science
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• v.16 no.6
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• pp.15-23
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• 2018

Purpose - This paper aims to explore the distribution and application of community-based disaster risk information and employ a case study as a qualitative research method to make some implications and suggestions for disaster management in the future. Research design, data, and methodology - This research has basically adopted an idiographic approaches to examine the basic policy of integrated flood risk management of Shiga prefecture in Japan. The methodology is based on a retrospective analysis, which starts from critical events and traces backwards processes to find out what goes well or wrong. Results - The results of this paper support that the multiple stakeholders in a community have to share and distribute disaster risk information in the proper time. The distribution and application of community-based disaster risk information cannot be overemphasized in that the local communities are culturally rich in traditional flood management knowledge, have voluntary organizations and have enjoyed mutual support and human network to cope with floods. Conclusions - The study results also imply that local residents of the community will be abe to have an important role in coping with natural disasters, which involves more proactive actions than passive actions for the enhancement of disaster management.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.329-341
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• 2021

This study derives the risk-Influence factors for subway structures, the basis for the transition from the current subway disaster recovery-oriented maintenance system to a preemptive disaster management system, to reduce risk factors for existing subway structures. To apply reasonable risk assessment techniques, risk influence factors for subway underground structures using statistical information(spatial information) and risk influence factors according to frequency of accidents were selected to derive the risk factors. The significant risk factors were verified through ground subsidence (SI: Subsidence Impact)-based correlation analysis. This process confirmed that the subsidence of the ground was a risk influence factor for the subway structure. The main result of this study is that derive the risk factors to improve the risk factors of subway structures due to the rapid increase in disaster risk factors. The derived risk factors that were expected to affect the depression around subway stations and track structures did not show a noticeable correlation, but the cause of this may be that there is no physical connection between them, but on the other hand, the accumulated data may not accurately record the surrounding depression. Accordingly, in order to evaluate the risk of depression around the station and track, more intensive observation and data accumulation around the structure are required.

• 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.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.493-504
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• 2020

Purpose: The purpose of this study is to propose an analytical methodology for selecting the priority of preventive projects in the course of carrying out disaster prevention projects that improve disaster-hazardous areas. Method: Data analysis was performed using RFM model which can divide data grade and perform target marketing based on Recency, Frequency, and Monetary. Result: The top 10% of the area with high RFM value was mainly in the East Sea and the South Sea coast, and the number of damage in private facilities was high. Conclusion: In this study, we used the RFM model to select the priority of disaster risk and to implement the regional disaster risk using GIS. These results are expected to be used as basic data for selecting priority project sites for disaster prevention projects and as basic data in the decision-making process for disaster prevention projects.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.97-104
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• 2023

Purpose: The web based KRAS risk assessment support system to facilitate risk assessment in small businesses and provides an assessment model for each type of business. In order to help understand risk assessment, private institutions have opened and operated training in charge of risk assessment. It will present the effectiveness of education in charge of risk assessment and measures to improve and revitalize it accordingly. Method: Using SPSS 22 for 670 workplaces that completed risk assessment personnel training within 5 years from 2017 to 2021, the disaster rate was analyzed through correlation analysis and t-test by dividing groups of less than 100 people into groups of 100 people. Result: Hypothesis 1-5 are adopted and reject 5-8. Conclusion: It is possible to consider the organization of a curriculum according to the size of a company for corporate education with more than 100 employees and to enhance the benefits of recognizing risk assessment.

• Journal of the Society of Disaster Information
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• v.7 no.3
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• pp.220-228
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• 2011

Disaster sign data is confirmed data by the experts to the collected data from web and users. In this paper, we focused to make the risk scores to the data based on ontology technology. To analyse the data, first of all, we defined the ontological structure for 4 kinds of disaster types which consists of the bridges, workplaces, buildings, and walls. Base on the ontologies, collected the accidents examples, and then extract the risk rules from the examples. The rules are adjusted with frequencies and weights, and managed to the ontology DB. The rules apply to the disaster sign data, and then calculates the risk scores. It plays role of the index to the risk rates. The disaster sign data management system was implemented and the rules were verified to the system. Because the quality of the risk scores to the disaster sign data depends on the data of the accidents examples's qualities, we assure that the system's performance will be monotonic increasing following up the data upgrades. Continuously, data management is needed. Also the quality control of the rules are needed.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.211-219
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• 2020

This paper examines in depth the UN's disaster risk reduction system and framework that affect a country's disaster safety strategy and focuse on identifying the global trends in disaster risk reduction that have emerged in the Hyogo and the Sendai Framework, a disaster risk reduction strategy proposed by the UN since 2000. For this aim it attempts a theoretical review based on collecting a variety of domestic and international literatures, draws meaningful implications and suggests alternatives to a national disaster risk reduction policy. According to the analysis, the UN disaster risk reduction mechanism is UNISDR, the Secretariat is UNDRR, and the SRSG represents it, and the Sendai Framework, developed from the Hyogo Code of Conduct, a global strategy which has been for disaster safety for the past decade, will lead global disaster safety for the next decade. The policy implications drawn from the analysis of both strategies are the emphasis on consistent international coordination, strengthening resilience and an integrated and comprehensive approach. In conclusion, this paper proposes the need for a disaster risk reduction strategy to establish a resilience reinforcement system to proactively identify and cope with risk factors and to minimize impacts, to promote the coordination of international coordination and cooperation at the government level.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.29-34
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• 2017

This Analyzed case study of measuring displacement, implemented laboratory investigation, and in-situ testing in order to interpret ground subsidence risk rating by excavation work. Since geological features of each country are different, it is necessary to objectify or classify quantitatively ground subsidence risk evaluation in accordance with Korean ground character. Induced main factor that could be evaluated and used to predicted ground subsidence risk through literature investigation and analysis study on research trend related to the ground subsidence. Major factors of ground subsidence might be classified by geological features as overburden, boundary surface of ground, soil, rock and water. These factors affect each other differently in accordance with type of ground that's classified soil, rock, or complex. Then rock could be classified including limestone element or not, also in case of the latter it might be classified whether brittle shear zone or not.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.67-73
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• 2010

Relatively high density of population and buildings exists in urban area mainly because of broad job opportunities and conveniences available. In other words, if happened, there might be high possibility of disaster which can not be easily recovered. The purpose of this study is to show evaluation approach of the risk degree resulted from the disaster, which considers the attributes of urban area. Cheongju-city in Chungcheongbuk-do is selected as sample district to be estimated. The degree of overall risk including fire risk, building collapse risk, evacuation risk and gas explosion risk etc. is analyzed in the designated area. The analysis suggests the highest risk degree in Bukmun-ro district which also shows CBD decline phenomenon. Therefore, it can be not only predicted that this area as old downtown has not been provided with disaster prevention operation and urban renewal project, but also judged that administrative assistances for the disaster are required possibly soon.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.6
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• pp.45-53
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• 2018

The construction work to establish a safety management plan should be carried out Design for Safety(DFS) task by the designers from May 2016 according to the amendment of the Construction Technology Promotion Act. However, designers lack experience in construction work and lack of information on safety accidents, so it is not easy to predict a disaster that may occur during the construction phase. Therefore, the purpose of this study is to provide information about disasters that can occur in each construction work in order to enable designers to efficiently perform DFS task in the design phase. In this study, the construction work was classified by work unit and the disaster risk assessment was conducted using the Failure Mode and Effect Analysis technique. The disaster information by work unit analyzed in this study can be used to provide designers with an alternative to prevent disasters at the design stage. Disaster information by work unit of apartment construction can be used by designers to prepare an alternative for disaster prevention at the design stage.