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系統識別號 U0026-2508202011394400
論文名稱(中文) 場站尺度建成環境探討台北捷運運量影響因素之研究
論文名稱(英文) The Impact of the Built Environment on Station-level Rail Transit Ridership: the Taipei Metro Case
校院名稱 成功大學
系所名稱(中) 都市計劃學系
系所名稱(英) Department of Urban Planning
學年度 108
學期 2
出版年 109
研究生(中文) 楊徨仁
研究生(英文) Huang-Jen Yang
電子信箱 jimmy84818@gmail.com
學號 P26061043
學位類別 碩士
語文別 中文
論文頁數 127頁
口試委員 口試委員-陳彥仲
口試委員-林楨家
口試委員-林漢良
口試委員-安大衛
指導教授-石豐宇
中文關鍵字 大眾運輸旅運量  建成環境  多重尺度地理加權迴歸  大眾運輸導向發展 
英文關鍵字 Transit ridership  Built environment  Multiscale geographically weighted regression  Transit-oriented development 
學科別分類
中文摘要 都市運輸與土地使用的關係是長久以來討論的重要議題,一些研究顯示高密度與混合的土地使用可以減少開車意願,配合友善步行與自行車的設計,可增加步行和大眾運輸的使用。然而,當中一個重要的問題是,不同建成環境如何去影響整個都市運輸系統的運量。本研究試圖以過去研究使用的5D建成環境因素在整個都會區分析大眾運輸的運量。該5D因素分別為土地使用密度、多樣性、友善行人與自行車的設計、目的地可及性和轉乘便利性。
本研究以臺北捷運系統作為實證對象,調查共108個場站與其周遭地區,使用來自不同政府機關的資料庫以及開放街圖的POI資料。根據不同範圍進行模型建置,發現以0-600公尺的範圍抓取資料將得出最佳配適度的模型,同時也發現以季運量來做同心圓的分群,配適度更高,解決以往建置模型時樣本數不足的問題。相較於OLS的結果,本研究使用多重尺度地理加權迴歸(Multi-scale geographically weighted regression)來處理變數不同尺度帶寬的問題,以解釋空間異質性的現象。
研究結果顯示,中和、松山、大安與信義一帶的十字路口密度與公車路線數對當地捷運站運量較有顯著正向影響,反而其他變數則較無顯著影響或負向影響;淡水、北投一帶以土地使用多樣性、公共設施與公車路線數呈現顯著正向影響;內湖、新莊與板橋一帶多以人口密度、公共設施呈現顯著正向影響。值得一提的是,中和的人口密度呈現正向顯著影響,推測可能跟中和的高人口密度有關,但卻因為稀少的大型公共設施,中和的行人目的地可及性呈現負向顯著影響。就實務面來說,本研究能在解釋運量影響因素上建立參考的基礎,並應用於大眾運輸導向發展規劃當中。
英文摘要 Over the past few decades of research on relationship between built environment and urban transport, a number of issues have appeared that density development and mixed land use would reduce the choice of private vehicle and encourage the transit system. One key concern for urban planners is how the built envirnment influences on urban transit system at the different neighborhood area. Therefore, our purpose attempts to analyse the different factors of transit ridership at an empirical area by five-D concepts including density, divesity, design, destination accessibility, and distance to transit. This study took Taipei Metro as an example to investigate the factors of built environment on ridership in 108 metro stations. The data consisted of different database of government and Open Street Map from December, 2017 to November, 2018. We compiled this data around station by 600 meters as the best goodness-of-fit model, and conducted seasonal ridership as dependent variables due to the small sample problem. Furthermore, compared with this OLS model, we also developed the multi-scale geographically weighted regression (GWR) in different area to fix the spatial scale problem of coefficient. Our findings indicate the seasonal ridership and repeated independent variables of OLS model in more local area, to some extent, deal with the worse coefficient of determination. To conclude, this study may be of importance in explaining the factors of built environment on transit ridership, and furthor applied for Transit-oriented development (TOD) strategy.
論文目次 第一章 緒論 1
第一節 研究緣起 1
第二節 研究方法與架構 3
第三節 研究範疇 5
第二章 文獻回顧 7
第一節 大眾運輸導向發展 7
第二節 大眾運輸系統的直接式旅運量模式 21
第三章 研究設計 29
第一節 研究課題分析 29
第二節 假說研提 31
第三節 量測變項選取 34
第四節 驗證方法設計 48
第四章 實證分析 59
第一節 樣本特性分析 59
第二節 多元迴歸模型分析 65
第三節 地理加權迴歸模型分析 74
第四節 模型綜合分析 83
第五節 假說驗證 84
第五章 討論與結論 87
第一節 應用討論 87
第二節 結論 89
第三節 建議 91

參考文獻 94
附錄一 試驗變數 102
附錄二 各捷運站周遭的公共設施 105
附錄三 不分群模型之敘述統計 108
附錄四 分群模型之敘述統計 113
附錄五 不分群模型之試驗結果 114
附錄六 不分群模型之MGWR局部係數 125
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二、中文書籍、技術報告書與學位論文(按筆劃排序)
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四、英文書籍、技術報告書與學位論文(按字母排序)
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五、網路資源與其他出版品(依筆劃和字母排序)
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