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A Study of Power Law Distribution of Korean Disaster and Identification of Focusing Events
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 Title & Authors
A Study of Power Law Distribution of Korean Disaster and Identification of Focusing Events
Kim, Yongkyun; Kim, Sang Pil; Cho, Hyoung-Sig; Sohn, Hong-Gyoo;
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 Abstract
Improvements in disaster management has become a global necessity because the magnitude of disasters is intensifying in parallel with the increased disaster damage. The disaster risk in Korea is also increasing due to the emergence of new types of disaster; such as the Middle East respiratory syndrome coronavirus, the increase of complex disasters, and the heightened probability of a catastrophic event due to climate change. This paper aimed to identify the disaster loss-frequency relationship from 1948 to 2014 in Korea by using four types of variables. In addition, this paper found major disasters that resulted in the reformation of disaster response organizations, and inputted the deaths and economic loss attributed to those disasters into the disaster loss-frequency graph. The research result substantiated that the disaster loss-frequency relationship in Korea follows the Power Law and found the coefficients of each Power Function. Additionally, this paper found that most of the reformations of disaster response organizations happened after major disasters that concentrated societies attention and anger due to the high human and economic impact; such events are labelled as "focusing events." These focusing events, with the characteristics of a low probability and high impact, are located in the long tail of the Power Law Distribution. This paper suggests that the effective public policy for disaster response needs to be developed by paying attention to `low probability and high impact` focusing events that are located in the long tail of the Power Law Distribution.
 Keywords
Power law;Disaster response;Focusing events;
 Language
Korean
 Cited by
 References
1.
Barton, C. C., Nishenko, S. P., Tebbens, S. F. and Loeb, W. A. (1994). "Fractal scaling and forecasting of the size and frequency for florida hurricanes 1886-1991 and of U.S. hurricane financial loss." Santa Fe Institute Workshop on Natural Hazards Reduction, Jan 5-9, Santa Fe, New Mexico, p. 1.

2.
Becerra, O., Johnson, N., Meier, P., Restrepo, J. and Spagat, M. (2006). "Natural disasters, casualties and power laws: A Comparative Analysis with Armed Conflict." in Proceedings of the Annual Meeting of the American Political Science Association, Loews Philadelphia, and the Pennsylvania Convention Center, Philadelphia, Pa, USA.

3.
Birkland, T. A. (1997). "After disaster: Agenda Setting, Public Policy, and Focusing Events." Georgetown University Press.

4.
Birkland, T. A. (1998). "Focusing Events, Mobilization, and Agenda Setting." Journal of Public Policy, Vol. 18, No. 1, pp. 53-74. crossref(new window)

5.
Birland, T. A. (2007). "Lessons of Disaster: Policy Change after Catastrophic Events." Georgetown University Press.

6.
Blank, A. and Solomon, S. (2000). "Power laws in cities population, financial markets and internet sites (scaling in systems with a variable number of components)." Physica A: Statistical Mechanics and its Applications, Vol. 287, No. 1-2, pp. 279-288.

7.
Clauset, A., Shalizi, C. R. and Newman, M. E. J. (2009). "Power-Law Distributions in Empirical Data." Society for Industrial and Applied Mathematics Review, Vol. 51, No. 4, pp. 661-703.

8.
Etkin, D. (2015). "Disaster Theory: An Interdisciplinary Approach to Concepts and Causes." Butterworth-Heinemann.

9.
Faloutsos, M., Faloutsos, P. and Faloutsos, C. (1999). "On power-law relationships of the internet topology." Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication, pp. 251-262.

10.
Farber, D. A. (2003). "Probabilities behaving badly: Complexity Theory and Environmental Uncertainty." UC Davis L. Review 37, Retrieved from http://scholarship.law.berkeley.edu/facpubs/614.

11.
Gabaix, X., Gopikrishnan, P., Plerou, V. and Stanley, H. E. (2003). "A theory of power-law distributions in financial market fluctuations." Nature, Vol. 423, pp. 267-270. crossref(new window)

12.
Janczura, J. and Weron, R. (2012). "Black swans or dragon-kings? A Simple Test for Deviations from the Power Law." The Eur. Phys. J. Spec., Vol. 205, pp. 79-93. crossref(new window)

13.
Jo, H. H. and Ko, Y. L. (2014). "Large variance and fat tail of damage by natural disaster." Vulnerability, Uncertainty, and Risk, pp. 2744-2753.

14.
Keen, B. D. and Pakkot, M. R. (2011). "Monetary policy and natural disasters in a DSGE Model." Southern Economic Journal, Vol. 77, No. 4, pp. 973-990. crossref(new window)

15.
Kingdon, J. W. (1995). "Agenda, alternatives and public policies." 2nd ed. New York: Harper Collins.

16.
Kingdon, J. W. (2010). "Agenda, alternatives and public policies, update edition, with an epilogue on health care." 2nd ed. Boston, MA, Longman.

17.
Kwon K. H. (2014). "Policy Science Lecture." Parkyoung Press (in Korean).

18.
Lee, D. K. (2010). "Policy change after focusing events: Approach to Understand the Catastrophic Disaster Cases in Korea." Ph.D. dissertation, Sungkyunkwan University.

19.
Lee, Y. J., Nam, S. H., Kim, Y. H., Yun, D. G., Jung, J. S. and Choi, S. W. (2015). "Introduction to emergency management." Life & Power Press (in Korean).

20.
Mandelbrot, B. B. (1983). "The fractal geometry of nature." Freeman, San Francisco.

21.
National Emergency Management (NEMA) (2009). "The 60-year history of korean disaster management." (in Korean).

22.
Roberts, P. (2009). "An unnatural disaster." Administration & Society, Vol. 41, No. 6, pp. 763-769. doi: 10.1177/0095399709345628. crossref(new window)

23.
Yoo, M. B. (2015). "Korean policy science." Parkyoung Press (in Korean).