以悠遊卡大數據初探YouBike租賃及轉乘捷運行為

Preliminary EasyCard Big Data Analysis of YouBike Rental and Its MRT Transfer Behavior

鍾智林(Chih-Lin Chung)；李舒媛(Shu-Yuan Li)

公共自行車系統 ； 大數據 ； 使用者行為 ； 轉乘行為 ； public bike system ； big data ； user behavior ； transfer behavior

都市交通

33卷1期（2018 / 06 / 01）

16 - 36

繁體中文

YouBike被定位為捷運接駁運具，過往多以問卷調查進行轉乘分析，本研究則採用新北市YouBike與臺北捷運的悠遊卡旅次交易紀錄（分別有164萬及5,687萬筆），依YouBike騎乘頻率區分偶爾、經常、忠實等三類使用者，再以悠遊卡號判斷YouBike旅次有無轉乘捷運，並就各類使用者進行時間、空間、轉乘特性初探。結果顯示偶爾使用者占78%，但旅次數僅為總量的30%，主要為假日休閒旅次，未與捷運轉乘之旅次高達80%；經常與忠實使用者各占17%及5%，旅次數分占38%及32%，均以平日通勤為主，未與捷運轉乘之旅次亦分別高達76%與73%。

YouBike has been positioned as the feeder mode of mass rapid transit (MRT). Previous studies usually analyzed the transfer behavior by questionnaire surveys. This paper adopted the YouBike and MRT transaction data of EasyCard in New Taipei. The data size of YouBike was 1.64 million and that of MRT was 56.87 million. YouBikers were divided into casual, constant, and loyal users based on the frequency of use. Transfer analysis relied on connecting a shared column, Card ID, of the YouBike and MRT data. Preliminary findings show that the casual users accounted for 78% of the YouBikes, but only 30% of the total trips. The trips made by the casual users were mainly on the weekend for the leisure purpose, and only 20% were related to MRT. As for the constant and loyal users, they respectively accounted for 17% and 5% of the YouBikers, and 38% and 32% of the total trips. The trips made by the constant and loyal users were mainly for the weekday commute. Respectively, 24% and 27% of the trips were related to MRT.

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