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    Title: 臺北都會區捷運場站運量特性及影響模型之研究
    A Study on The Characteristics and the Influence on the Ridership of Taipei Metro Station
    Authors: 江繼元
    Chiang, Chi-Yuan
    Contributors: 白仁德
    江繼元
    Chiang, Chi-Yuan
    Keywords: 臺北都會區大眾捷運系統
    社群網絡分析
    熱點分析
    多元線性迴歸分析
    Taipei Metropolitan Area Rapid Transit Systems
    Social Network Analysis
    Hotspot Analysis
    Multiple linear regression analysis
    Date: 2020
    Issue Date: 2020-03-02 11:22:20 (UTC+8)
    Abstract: 根據交通部105年調查結果,臺北市公共運具次數市佔率僅41%,與相鄰國家之主要城市例如香港(87%)、首爾(72%)、東京(51%)等有相當差距,惟政府未來仍將繼續投入大量經費進行大眾捷運系統開發,故如何有效增加大眾運輸使用量成為當前政府部門之重要課題。近年永續發展已成為世界各國共同追求之願景,大眾運輸導向發展(Transit-oriented development,TOD)隨之成為城市交通規劃研究之重要課題,然而國內有關TOD建成環境特性對臺北都會區大眾捷運系統運量影響效益之實證研究僅以座落於臺北市行政區內之捷運站點作為實證樣本,未能涵蓋臺北捷運之整體情況,且其未探討相關影響因素對旅次起訖端影響效果之異同,亦缺乏對人行、自行車行等建成環境特性之驗證。此外,尚未有採用數據分析方法進行臺北捷運場站運量特性及其使用者空間移動現象分析之文獻。
    因此,本研究首先使用臺北捷運旅次起訖資料搭配社群網絡分析及熱點分析等方法,探討臺北捷運場站運量特性,其後透過文獻回顧整理、歸納影響捷運運量之因素,運用多元線性迴歸模式進行校估分析。實證結果顯示臺北捷運運量時間分布於平日呈雙峰狀、假日呈高原狀,且旅次分布受捷運路網連結度影響,另高密度及緊湊發展模式可對臺北捷運運量產生顯著正向影響顯著,此外,建成環境因素對捷運運量之影響顯著,且影響程度隨平、假日及進、出站模式而有明顯差異。最後,綜合本研究捷運運量特性分析及影響模型實證結果,分別就交通運輸及土地使用層面,提供臺北捷運營運者及政府部門相關政策建議。
    According to the results of the 2016 survey by the Government, the market share of public transportation vehicles is only 41%, which is far from the major cities in neighboring countries such as Hong Kong (87%), Seoul (72%), and Tokyo (51%) ,. Despite the downturn of ridership, the government has been continuing to invest amount of budge in the development of mass transit systems. The enhancement of ridership is considered the important issue for government departments. In recent years, sustainable development has become the goal pursued by all countries, and Transit-Oriented Development (TOD), has become an important subject in the research of urban planning. However,The domestic empirical researchs of the Taipei Metropolitan Area Rapid Transit Systems(Taipei MRT), which is based only on the station in Taipei City District as an empirical sample,fails to cover the overall situation of Taipei MRT, and neglects the dynamic behavior of the civil brigade operation as a round trip direction, but cannot explore in depth the similarities and differences of the relevant influencing factors on the effect of the travel factors on the end of the trip. Furthermore, the walk and cycle of the built environment variables have not yet been verified, and there is no literature using data analysis methods to analyze the ridership of Taipei MRT stations.
    At the beginning of this study, using Taipei MRT travel data with social network analysis and hotspot analysis explore thecharacteristics of Taipei MRT stations, and then summarize the factors affecting ridership of Taipei MRT through literature review. This study establishs the models of Taipei MRT ridership to verify the influence of TOD built environment variables by multiple linear regression analysis. The empirical results indicate that the characteristics of ridership is double-peaked on weekdays and plateau-shaped on holidays, and the travel distribution is affected by the connectivity of network. Secondly, the high-density and compact development model have a significant positive effect on the ridership of Taipei MRT. Thirdly, TOD built environment factors have a significant effect on the ridership of MRT, and the influence varies significantly from weekday to weekend, as well as between inbound and outbound modes. Finally, based on the empirical results in this study, the relevant policy recommendations are provided to operators of Taipei MRT and government departments from transportation and land use perspective independently.
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    Description: 碩士
    國立政治大學
    地政學系碩士在職專班
    104923017
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104923017
    Data Type: thesis
    DOI: 10.6814/NCCU202000222
    Appears in Collections:[地政學系] 學位論文

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