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    题名: 物流政策與國內物流專區土地使用之多目標規劃;Multiobjective Planning on Land Use of Domestic Logistic Parks and Government Policy
    作者: 林信昌;Hsin-Chang Lin
    贡献者: 土木工程研究所
    关键词: 土地使用;多目標規劃;物流;Logistics;Multi-objective programming;Land use
    日期: 2005-06-27
    上传时间: 2009-09-18 17:16:55 (UTC+8)
    出版者: 國立中央大學圖書館
    摘要: 近年來物流業蓬勃發展,但經統計有七成以上之物流用地或建築屬於違法使用,有鑑於此經濟部發覺設流專區設置之必要性,然物流專區若無考慮實際開發面積之大小對聯外道路系統所造成的影響,可能將導致物流專區與聯外運輸道路供給無法平衡,造成聯外道路交通擁擠之嚴重問題。本研究以各物流專區聯外道路之交通衝擊(服務水準)作為國內物流專區整體評估之考慮要項,使用多目標規劃法,構建物流專區土地使用與聯外道路之整合模式。並利用妥協解法(compromise solution)於求解過程中,於不同目標的權衡(Trade-off)與考量下,獲得總土地取得成本、總交通衝擊以及配送距離的最佳平衡,求得國內各物流專區土地之最適開發量。最後以業者提供適合地區當作物流專區作為實例分析,並提出有效政策減少聯外道路交通衝擊問題有不錯的結果。 In recent year, the logistics industry has developed rapidly, but it has been estimated that over 70% of lands and constructions for logistics are illegal. As a result, Ministry of Economic Affairs has identified the necessity of establishing a logistics park. However, if the impact of the size of the park on the connected road systems is not considered, it might lead to the imbalance of demand and supply between logistics parks and transportation routes and further cause serious traffic congestions in connected road systems. This study considered the traffic impact (level of service) of various logistics parks as a critical factor in the comprehensive evaluation of domestic logistics parks and applied Multi-objective Programming to construct an integrated model for the land use and connected road systems. Besides, Compromise Solution was also employed, in the consideration of trade-offs of various objectives, to gain the optimal balance among the cost of land acquisition, total traffic impact, and delivery distance, so as to find out the most appropriate sizes of land development for domestic logistics parks. At last, this study used the case in which operators provide proper areas as a logistics park as a practical example for analysis and further proposed that the policies for reducing the traffic impact on connected road systems have a considerable effect.
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