M.-S. Chang and C.-F. Hsueh (Taiwan)
Emergency facility location, rescue resource allocation, rescue equipment distribution, scenario planning.
This paper aims at developing a decision making tool which can be potentially used by government agents in planning for emergency logistics. The flood emergency logistics problem with uncertainty is formulated as two stochastic programming models that allow for determination of a rescue resource distribution system for urban flood disasters. By applying of the data processing and network analysis functions of geographic information system, the flooding potential maps can be utilized for estimating the possible locations of rescue demand points and the amounts of rescue equipment. Furthermore, a real study of planning for emergency logistics is presented to highlight the significance of the proposed model as well as the efficacy of the proposed solution strategy.
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