A Dynamic Model of Post-disaster Search and Rescue Considering Information Uncertainty

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A Dynamic Model of Post-disaster Search and Rescue Considering Information Uncertainty

Liu, Qianqian / Wang, Qun

Abstract Information moves society, so does in post-disaster SAR. Effective information management is a vital component of disaster response and relief. In the process of SAR, information is massive and constantly updated. Therefore, the decision-makers and SAR teams need to adjust the strategy, patterns, and path selection according to the dynamic information. In this paper, a grid-based distribution model considering the information as well as its uncertainty is firstly presented, in order to describe how the uncertain information influences the SAR operation, which has not been thoroughly studied by former researchers. The model incorporates with a general SAR cost, which can be used to evaluate whether the information helps to optimize the selection of SAR objectives. The model can be used to find better plans to reduce the search time and SAR costs and to help design modern simulation of SAR work to increase SAR efficiency.