时间维度下上海市共享单车骑行模式研究

基于上海市摩拜单车一个星期的骑行数据，从时间角度深入挖掘骑行数据背后隐藏的行为模式和规律. 统计结果显示，工作日和周末的骑行行为存在显著差异，工作日呈现两个明显骑行高峰时段，周末的骑行分布则比较均匀. 在区分工作日和周末的基础上，根据骑行行为对每日的骑行者进行分类，每组骑行者均表现出独特的骑行开始时间和骑行时长. 基于周中的一天与骑行开始时间，以及周中的一天与骑行时长这两个组合分别计算赫希曼指数 (HHI)，证实共享单车骑行高度的时间规律性；周中的一天与骑行开始时间组合的HHI值具有更大的标准差，显示了共享单车的灵活性. 对共享单车骑行模式的探究，能够在一定程度上促进城市交通系统的持续改善，吸引更多出行者使用绿色交通方式.

Unraveling Mobility Pattern of Dockless Bike-sharing Use in Shanghai

Through the analysis of one-week records from Mobike in Shanghai, this study investigates the underlying mobility pattern of bike-sharing use behavior from a temporal perspective. The statistical results show a significant difference between weekdays-and weekends-cycling behavior. Two peaks are found within weekdays, while the biking trips are almost evenly distributed on weekends. The cyclers are classified into two and three groups for every day across weekdays and weekends, respectively, where each group is characterized by a distinctive distribution of biking start time and duration. Herfindahl-Hirschman Index (HHI) for the two combination, i.e., day-of-week-start time and day-of-week-duration, reflects high temporal regularity associated with bike-sharing use. And the larger standard deviation of HHI for the combination of day-of-week - start time confirms the flexibility of bicycling travel. This study is expected to unravel the mobility pattern of dockless bikesharing use, which could further contribute to its efficiency evaluation and system improvement.