大眾運輸導向發展為當代作為有效達到永續都市型態的重要策略，因此瞭解其都市生活型態是相當且具意義的研究與規劃議題。時間地理學提供一個從個體時空行為維度的研究框架，通過調查人們日常生活的時空活動對於空間結構進行描述，後續關注於都市內不同族群生活需求差異，惟過往研究在檢測空間結構因資料與技術限制無法呈現都市尺度下的動態空間結構特性。新型態大數據（Big Data）以更貼近都市人口資料且高時效性的動態資料，給予都市空間中人類的活動及時空間格局一個更全面詮釋。其中， IC 卡數據可揭示搭乘者隨時空間變化下的日常生活的固定及彈性非頻率性活動以及活動範圍，展現TOD 都市生活型態。
本研究目的為探究 TOD 生活圈特徵，並以臺北捷運文湖線作為實證地區。在此目的下本研究以時間地理學為框架，提出一種基於個體時空活動大數據的動態空間結構分析架構，從解析人們的時空活動後而分析捷運站點周邊地區的動態空間結構。首先，透過連接捷運及公車 IC 卡數據建立個體時空行為大數據，瞭解一般、學生及高齡搭乘者平日及周末的旅次特性，提取不同族群於站點周邊地區頻率性及非頻率性活動特徵，歸納以捷運站點為核心之生活型態。最後，利用餐飲業 POI 代表商業發展程度，作為都市空間發展之展現，探索搭乘者特徵與站點周邊地方商圈發展的關係。
根據研究結果，透過 IC 卡數據為基礎分析不同捷運搭乘者的時空活動，確實能解析各 TOD 場站周邊地區之生活圈特徵。依據搭乘者外出及停留活動特性上，顯示一般及學生族群外出活動時間段相似，而高齡者每日開始及結束外出活動的時間最早。在站點周邊停留從事活動的分析成果上，三類搭乘者在持續時間峰值具有明顯的三個峰值時間段，而在頻率性上高齡搭乘者不論在外出及停留活動天數上皆較其他搭乘者少一天。另外，透過停留時間分類其從事活動大致可歸納五種生活型態，分為居住型及工作學習型兩種頻率性活動；非頻率性活動則屬0.5 到 3.5 小時的短時間類型、 8 到 11 小時的中時間類型以及 11.25 到 12.5 小時的長時間類型。進一步分析平日及周末生活圈、 15–30–60 分鐘生活圈與三類搭乘者生活圈，可更具體的描述五種生活型態。最後，根據相關性分析成果，顯示搭乘者特徵對於餐飲業發展具有顯著的相關，並以一般搭乘者的影響情形較高，而高齡搭乘者的影響程度較低。透過解析 TOD 的生活型態，可協助瞭解規劃定位與實際空間結構的差異，有助於未來 TOD 的施政方向上，規劃者可更貼近使用者導向下反映土地的規劃策略以及基盤設施的設計。

Transit-Oriented Development（TOD）has become an important strategy that deeply affects the development of contemporary urban space and the living patterns of residents. Combined with the characteristics of big data, time geography provides a research framework for describing the dynamic structure of space from the spatial and temporal activities of different groups.
The study aims to investigate the characteristics of TOD living circle. Time geography will be used as the research framework. Therefore, the study proposes a dynamic urban spatial structure analysis framework based on the big data of individual spatial and temporal activities, and chooses the Taipei metro stations in Wenhu Line as the empirical area. The research material will use the metro and bus IC card data to extract the frequency and non-frequency activities and the range of living circle. To generalize the life style under TOD, and explore the relationship between rider characteristics and the development of local catering districts around the stations.
The results of this study indicate that there are differences in the spatial and temporal activity characteristics of the stations, and Wenhu Line can be categorized into five types of living areas, which represent the functional services corresponding to each types. Based on the characteristics of various types of activities and living areas, the study can help to understand the difference between the planning positioning and the actual spatial structure, and provide valuable suggestions for the future direction of TOD.

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