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26 May 2020 A Study for Dynamic Decision Making Framework for Tsunami Evacuation
Gyumin Lee, Changwoo Lee, Hyungjin Shin, Wooyeon Sunwoo, Kyung Soo Jun
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Lee, G.; Lee, C.; Shin, H.; Sunwoo, W., and Jun, K.S., 2020. A study for dynamic decision making framework for tsunami evacuation. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 855-859. Coconut Creek (Florida), ISSN 0749-0208.

This study aims to construct a systematic decision making framework, which can apply response plans dynamically for mitigation of casualties by reflecting regional characteristics, based on Tsunami hazard and evacuation route analysis. Tsunami is a serious disaster that can cause an extensive damage and an early prevention of tsunami is crucial for reduction in the number of casualties. In addition, the safety of the residents vary depending on the information of evacuation routes. Therefore, the priority details that must be considered in counter-measures in target area need to be derived through an evacuation routes based on the conditions and the characteristics of local situation. Hazard assessment is determined by considering tsunami inundation and travel time obtained by a numerical model. Finally, a dynamic decision making framework is proposed considering both hazard risk and evacuation route analysis. The outcome from this study will help not only the management of evacuation map, but also the response plan which provides evacuation information based on the characteristics of local area and residents. Therefore, many lives can be protected from tsunami by applying the decision making framework proposed in this study.

©Coastal Education and Research Foundation, Inc. 2020
Gyumin Lee, Changwoo Lee, Hyungjin Shin, Wooyeon Sunwoo, and Kyung Soo Jun "A Study for Dynamic Decision Making Framework for Tsunami Evacuation," Journal of Coastal Research 95(sp1), 855-859, (26 May 2020).
Received: 31 March 2019; Accepted: 13 February 2020; Published: 26 May 2020
Decision making framework
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