| Summary: | With the advantages of high efficiency and convenience, shared bikes are rapidly gaining popularity in China, and become an important connection mode for rail transit stations, but it also brings many problems which affect urban transportation and environment. Based on multi-source big data such as Xiamen shared bikes and urban space, this article analyzes the spatial and temporal characteristics of shared bikes travel by Python and GIS, and explores their riding characteristics and the effects concerning land use, urban environment and other aspects in the station area. Shared bikes have the characteristics of short spatial and temporal distance utilization, which provides an important support for the connecting traffic of urban subway stations. The connection and utilization of shared bikes around the station are affected by various urban factors, which also reflect the stages and differences of the station development. By analyzing the characteristics of shared bikes trips, rail transit stations can be classified into four types, and the develop strategies should be taken according to the difference of station types, to improve the urban slow traffic system, promote the development level of rail transit stations.(共享单车凭借其高效便利的优势在全国各大城市快速普及，已成为轨道交通站点重要的接驳方式，但其供需失衡、乱停乱放等问题也给城市交通与环境带来挑战。利用厦门市共享单车及城市空间等多源大数据，通过Python、GIS解析共享单车出行的时空特征，探究轨道站域骑行特征及其来自土地利用、城市建成环境等方面的影响效应，结果表明：共享单车具有短时空距离利用的特征，为城市地铁站点的接驳交通提供了重要支撑；站点周边共享单车的接驳利用受城市多种因素影响，同时也反映了站点开发的阶段性和差异性；根据共享单车出行特征，轨道交通站点可归纳为四类，应根据站点的不同类型因站施策，完善城市慢行系统，促进共享单车骑行，加强轨道交通站域开发。)
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