低碳社區綠色運輸指標分群與評比機制之研究 : 以臺灣北部12個低碳社區為例

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Title:	低碳社區綠色運輸指標分群與評比機制之研究 : 以臺灣北部12個低碳社區為例
Other Titles:	A study on green transportation index clustering and assessment procedures for low-carbon communities : the case of 12 low-carbon communities in north Taiwan
Authors:	曾琬玲;Zeng, Wang-Ling
Contributors:	淡江大學運輸管理學系碩士班辛其亮;Shing, Chi-lyang
Keywords:	綠色運輸;評比機制;多屬性群體決策;德爾菲法;Green Transportation;Evaluation Framework;multi-attribute group decision methods;Delphi methods
Date:	2013
Issue Date:	2014-01-23 14:08:00 (UTC+8)
Abstract:	近年來，受到全球氣候變遷與環境衝擊的影響，永續發展已成為國際間共同關注的課題。為響應世界趨勢，臺灣亦展開了「綠色」風潮，遴選50個低碳示範社區，推動6個低碳城市，以及北、中、南、東完成4個低碳生活圈。為促進其發展效益與提升推動效率，並檢視各地區策略是否符合永續環境之發展目標，回顧國外於推動時，多以建立『綠色運輸指標評比』以及獎勵制度，藉此鼓勵各地區民眾採取主動與自發性行動。有鑒於此，本研究欲建立一套適可供檢核與回饋並適用於臺灣社區之綠色運輸評比機制。本研究首先定義「綠色運輸」名詞，並整理國內外綠色運輸相關案例，探討指標建立方式，包含指標之意義、選取原則及其建立方式。最後，將參考各國綠色運輸相關評比機制，研擬綠色運輸評比指標。但由於指標具有多樣性，為建立低碳社區綠色運輸適用之評比指標，將對初擬指標進行篩選，並因各社區社經環境之不同，將指標進行分群，最後透過多屬性群體決策方法，賦予各指標權重，歸納出優先推動之綠色運輸指標。本研究以北部12個低碳社區進行實證分析，依各社區之社經環境進行分群，並依其所適用之評比機制進行評比，透過現地調查、面談訪問、網路資料等調查方式，分別給予等級與評分，並透過雷達圖顯示各地區發展狀況，最後提出各社區改善與建議可優先規劃推動項目。 Due to rapid change of global climate and environmental impacts sustainable development has become a common issue worldwide recently. To respond to the global trend, a national program is initiated to lower carbon and save energy for chosen 50 low-carbon communities, 6 cities and 4 regions in Taiwan. To ensure the effectiveness of the program and meanwhile achievements of goals of sustainable development, most of case studies for assessing or evaluating green transportation in low-carbon communities are found to use index or indicator approaches to identify public involvement and encouragement. This study aims at presenting an assessment process of green transportation for low-carbon communities in Taiwan. Firstly, "Green Transportation" is defined and relating literatures or case studies are reviewed to summarize feasible index for comparison of assessment of green transportation in low-carbon communities. Then these indicators are clustered according to socio-economical development for different low-carbon communities by using Delphi in-depth interviews with experts. Some multi-attribute group decision methods are used to compute index weight and to propose the priority of green transportation indicators for clustered low-carbon communities. This study selects 12 low-carbon communities in North Taiwan as the empirical study. Based on the proposed process, appropriate indicators of green transportation are allocated in priority by using multi-attribute group decision methods. The overall assessment can be viewed directly with radar charts for clustered low-carbon communities. Finally corresponding strategies to improve green transportation are presented as well.
Appears in Collections:	[Graduate Institute & Department of Transportation Management] Thesis

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