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http://dx.doi.org/10.6109/jkiice.2016.20.4.683

Social security aimed disaster response policy based on Big Data application  

Choung, Young-chul (Department of Computer Engineering, Chosun University)
Choy, Ik-su (Department of Architecture Engineering, Dongkang College)
Bae, Yong-guen (Department of Computer Engineering, Chosun University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.4, 2016 , pp. 683-690 More about this Journal
Abstract
In modern society, disasters frequently occur, and the effect is getting more massive. Also, unpredictable future increases anxiety about social security. Accordingly, in order to prevent national-scale emergency from happening, it is highly required governments' role as ICT power nation and transition to disaster management system using big data applied service. Thus, e-gov necessarily acquires disaster response system in order to predict and manage disasters. Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, this manuscript suggests epidemics preactive warning algorithm model as a mean of reduce national anxiety on disaster using big data for social security. Also, by recognizing the importance of e-gov and analyzing problems in weak disaster management system, it suggests political implication for disaster response.
Keywords
Social Disaster; Big Data; Electronic Government; Epidemic; Centers Disease Control and Prevention;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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