In South Korea, the damage caused by typhoons and downpour has the biggest proportions in total damage. Moreover, their damages are biased to riverside structures. To deal with the disasters like typhoons, disaster response system that takes charge of preparation, emergency response, and recovery attracts public attention. This study is concerned about the emergency response resource management. This study suggests the advanced classification algorithm, which classify disaster response resources along their attributes in dynamic situation. Classification result from suggested algorithm may support decision processes under dynamic emergency. In this study, we arrange the information of response resources and use PCA and Clustering analysis to classify the resources. After that, we execute the simulation study with randomly generated dataset to examine the performance of suggested algorithm.
This study has tried to develop the resource allocation algorithm and the system for the efficient disaster response. Our suggested system allocates the disaster response resources to multiple damaged sites. After fulfilling the demand of recovery, the system should adjust the initial allocation to changed environment, if the unexpected events occur. To meet this requirements, the evaluation of resource capability and allocation algorithm using Tabu search algorithm are developed. In addition, classification of the unexpected events and the response processes are suggested and applied to the allocation algorithm. Finally, to collect the real time data, the framework of the disaster response system with IoT has been introduced.
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