土地使用與交通運輸規劃一向是人類生活中一個的重要課題,自20世紀後汽車成為通勤主要工具,土地使用向郊區蔓延,造成都市蔓延(Urban Sprawl)的情形。為解決都市蔓延所造成的問題,聰明成長(Smart Growth)的概念逐漸被應用於運輸規劃上。近年來為順應「永續發展」之觀念,學者提出大眾運輸導向發展的都市模式(transit-oriented development city, TOD),逐漸成為全球各大先進都市的運輸規劃目標及促進聰明成長的策略之一。 回顧過去都市運輸規劃策略相關研究,針對聰明成長之概念探討部分較為缺乏。本研究欲以都市運輸規劃策略為主要研究架構,並導入聰明成長原則作為評估指標,與規劃策略相結合,再利用客觀科學方法進行實證分析。本研究首先由文獻回顧與探討對國內外相關文獻進行分析,並分類整理聰明成長原則,作為後續研究之基礎。再利用模糊德爾菲法(Fuzzy Delphi Technique, FDT)專家問卷作進一步調查,篩選出適合應用於都市運輸規劃發展策略相關之聰明成長準則,建構研究模型。實證部分將利用資料包絡分析法(Data Envelopment Analysis, DEA),以保證區域之概念設定準則權數,評選導入聰明成長原則下適合都市運輸規劃策略之捷運車站,作為未來都市運輸規劃發展策略之參考。本研究將選定台北捷運新興規劃路線作為實證研究之對象,以驗證模式應用於策略產生之實用性。
The research for a land use and transportation planning has always been an important study area among the urban planning field. Since the 20th century, automobiles had become the main media as the transportation vehicle. However, the automobile-oriented development (AOD) also caused the sever urban sprawl problem during the past years. In order to reduce the problems of urban sprawl, the Smart Growth concepts have been proposed and applied to transportation planning process. In recent years, with the up to date sustainable development concept, the transit-oriented development (TOD) model has become one of the novel transport planning strategies utilized to improve the urban environment by means of Smart Growth principles. This study tries to integrate smart growth principles into the urban transportation planning development strategies and utilize objective scientific method to the empirical study. This study will include the following sections. First of all, we try to study and classify the category of smart growth principles based on literature review. Followed by applying fuzzy Delphi technique (FDT) to obtain individual expert’s opinions and to screen the most important criteria of proposed principles in our research. And then the empirical study of Taipei Metro Transit System will be demonstrated to show the application of our proposed methodology. Finally, the utilization of data envelopment analysis (DEA) model combined with assurance region analysis will be applied to select the most suitable MRT stations as the suggested strategies for public sectors.