Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/10172
標題: 公共工程預算配置最適化模型之研究-以「易淹水地區水患治理計畫」預算分配為例
Public Construction Budget Allocation Using BLPF & DPPF Model: A Case Study of Flood Management in Flood-Prone Areas
作者: 黃正翰
Huang, Cheng-Han
關鍵字: 二元線性規劃柏拉圖最佳分析法;Binary Linear Programming and the Pareto front analysis;動態規劃柏拉圖最佳分析法;效益評估機制;預算分配;Dynamic Programming and the Pareto front analysis;Evaluation;Budget allocation
出版社: 土木工程學系所
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摘要: 
台灣地區長期飽受風災水災與地震等災害之苦,其中水災更是連年發生並日趨嚴重。根據政府報告統計,台灣需整治之水系多達130條,且需求經費高達2,412億元。但受限於政府預算有限,自2006至2013年僅能編列新台幣800億元預算用以改善台灣之淹水災害。因此,如何透過科學且客觀的方法,決策出水系整治之優先順序,實為關鍵課題。
本研究蒐集水利署提列之130條易淹水水系資料並採用二元線性規劃柏拉圖最佳分析法(BLPF)以及動態規劃柏拉圖最佳分析法(DPPF)撰寫資料運算程式,將解題空間分階段採逐一求解優化之運算原則納入柏拉圖效用曲線,找尋柏拉圖解作為二元線性規劃以及動態規劃階段優化之決策機制。
使用本研究之理論架構進行優選方案之規劃,並與實際推行狀況作比較,目的在於求出「不同預算金額」以及「不同預期規劃效益」之執行計畫選擇方式,不僅可解決現況中預算變動之狀況,也可提供決策者於編列預算金額時之參考依據。
最後成果驗證發現運用本研究兩種最佳分析法模型,在預期效益相同之狀態下,將分別可為台灣政府節省年成本新台幣1,898.405佰萬元~1979.297佰萬元,並達成相同之規劃目標。

Taiwan faces long term exposure to natural hazards, such as floods, droughts and earthquakes, especially severe flooding which jeopardize the peoples’ properties and lives.
As a result, the government initiated long–term project to regulate and monitor 130 rivers in flood-prone areas.
However, the fiscal budget is limited and unable to meet the demand of the overall rectification costs for 130 rivers. How to objectively and efficiently prioritize these rivers for rectification works remains a major challenge for the government.
This research collected all possible information of the regulated 130 rivers, then utilizing dynamic programming and Pareto front analysis, as well as binary linear programming and the Pareto front analysis, to develop a budget allocation model.
The result shows this evaluation model can assist the government save up to NT $1.898~$1.979 billion, and achieve the same outcomes.
URI: http://hdl.handle.net/11455/10172
其他識別: U0005-1507201322163200
Appears in Collections:土木工程學系所

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