由於台灣地區地理位置屬於颱風頻生地區，是故颱風災害發生機率為全球公認最高；如何透過規劃與建設來降低災害所帶來的損失，實為維持正常生活機能之重要任務。 本研究以台灣首善之都-台北市為研究範圍，並且遵循台北市地方行政區調度支援救災原則，希望透過救災期間設施平均運作成本、救災期間攤提機具年平均設備成本（包含購買成本與養護成本）、救災期間救災機具過剩機具處罰成本、運輸成本與救災期間租用機具成本目標之共同設定，建構移動式抽水機區位-配送模型，並且於三種需求量擾動情境下利用樣本平均近似法（Sample Average Strategy,SAA）獲得最佳防災整備階段救災機具存放方案，以達到總成本最小與總成本變異平緩之目標。 進而針對各層級救災中心/據點開設設施容量上限進行敏感度分析，得知區域級救災中心有較明顯的成本降低趨勢；即透過區域級救災中心存放容量的適切增加，可以有效率的達到降低總成本之目標。 In this article, the multi-tiered flood rescue equipment distribution problem with uncertainty is formulated as a two-staged scenario planning model that allows for determination of a rescue equipment distribution system for urban flood disaster, including rescue framework, locations of rescue resource storehouse, rescue equipment allocation and distribution plans. In addition, a computer-based decision-support system is developed to help solve this problem. By application of the data processing and network analysis functions of geographic information system, the flood tendency graphs can be utilized for estimating the possible locations of rescue demand points and the amounts of rescue equipments. After having these rescue demand data, the proposed model is solved by following sample average approximation scheme. Then, a computational study of real flood rescue equipment distribution is presented to highlight the significance of the proposed model as well as the efficiency of the proposed solution strategy.
