本研究目的在探討土地使用與騎乘環境等環境空間因素以及站點數，對公共自行車租借量之影響。研究資料為臺北市公共自行車每月租借量，使用多元迴歸分析方法與階層模型分析資料並建立預測模型。研究結果顯示站點位置在商業使用土地、鄰里公園與社區公園旁，皆正向顯著增加租借量。降雨對租借量為負向影響，在冬季時降雨越多越易減少租借量。在騎乘環境因素方面，還車站點附近自行車道布設距離須超過一定距離才能增加租借量。本研究呈現臺北市公共自行車站點附近的土地使用、騎乘設施、天氣與站點數如何影響公共自行車的租借量。本研究希望提供給政策決策者公共自行車系統的改善建議，俾利臺北市公共自行車系統的持續改進與發展。

The present study aims to examine the rental demand of the Taipei YouBike system; particularly, we make an attempt to identify the effects of environmental context and station networks on the YouBike demand patterns. The YouBike data from January 2015 to March 2016 were collected; the borrowing and returning volumes of stations were separately investigated with multiple and multilevel regression. The empirical results showed that the area of commercial and residential land uses and neighborhoods or community parks were positively related to the rental volumes of YouBike stations while winter rainfalls exhibited a negative association. Bike lanes also showed a positive association with the rental volumes only if their length was sufficient. The study provides insights about the relative importance of land use, bike infrastructure, weather and station networks to bike-sharing usage in Taipei. The findings may help bike-sharing operators to improve their system operations and increase the sustainability of the bike-sharing system.