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http://dx.doi.org/10.5762/KAIS.2019.20.9.290

Classification of Disaster Safety Data Management System based on Daily Situation Report  

Lee, Giu (Gaonknowledge)
Jung, In-Su (Korea Institute of Civil Engineering and Building Technology(KICT))
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.9, 2019 , pp. 290-298 More about this Journal
Abstract
This study investigated a total of 22 types (15 types of natural disasters and seven types of social disasters) of disaster and safety data based on the National Daily Situation Report, Disaster Yearbook and annual Disaster Annals issued by the Ministry of Public Administration and Security. Disaster safety data were collected from the daily situation report of MOIS (Ministry of the Interior and Safety). The number of total data cases were 1,760, of which 656 were natural disasters and 1,104 were social disasters. The disasters were then patternized according to their characteristics. The patterning was conducted to set up the disaster and safety data system designed to keep disaster situations under prompt and effective management. The study analyzed the data associated with the activities in the response and recovery stages according to the disaster type. Furthermore, based on the management activities performed with the flow of time following a disaster, this study classified and proposed disaster and safety data patterns to achieve effective disaster management work by analyzing the characteristics of a disaster and safety data and disaster and safety management procedures. Disasters of high similarity were classified by merging and deleting them. This was done to consider the scalability and mutual linkage so that it can be used in the establishment of national statistical data, such as the disaster annual report and disaster annuity.
Keywords
Disaster; Daily Situation Report; Natural Disaster; Safety Data; Social Disaster;
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