System Data | Citi Bike Trip Histories

System Data<br>Where do Citi Bikers ride? When do they ride? How far do they go? Which stations are most popular? What days of the week are most rides taken on? We've heard all of these questions and more from you, and we're happy to provide the data to help you discover the answers to these questions and more. We invite developers, engineers, statisticians, artists, academics and other interested members of the public to use the data we provide for analysis, development, visualization and whatever else moves you.<br>Citi Bike Trip HistoriesWe publish downloadable files of Citi Bike trip data. The data includes:<br>Trip Duration (seconds)Start Time and DateStop Time and DateStart Station NameEnd Station NameStation IDStation Lat/LongBike IDUser Type (Customer = 24-hour pass or 3-day pass user; Subscriber = Annual Member)Gender (Zero=unknown; 1=male; 2=female)Year of Birth<br>This data has been processed to remove trips that are taken by staff as they service and inspect the system, trips that are taken to/from any of our “test” stations (which we were using more in June and July 2013), and any trips that were below 60 seconds in length (potentially false starts or users trying to re-dock a bike to ensure it's secure).

系统数据集<br>花旗单车（Citi Bike）用户的骑行轨迹覆盖何处？何时出行？骑行距离几何？哪些站点最为热门？一周中的哪几日骑行订单最为密集？我们已收到来自各界的诸多此类疑问，特此提供本数据集以助力您探寻相关乃至更多问题的答案。我们诚邀开发者、工程师、统计学家、艺术家、学者及其他感兴趣的社会公众，使用本数据集开展分析、开发、可视化创作及其他各类创意相关工作。<br>花旗单车出行历史数据集：我们提供可下载的花旗单车出行数据文件，所涵盖的数据字段如下：<br>出行时长（秒）、出发时间与日期、到达时间与日期、出发站点名称、到达站点名称、站点编号、站点经纬度、单车编号、用户类型（临时用户=购买24小时或3日通票者；订阅用户=年度会员）、性别（0=未知；1=男性；2=女性）、出生年份<br>本数据集已完成预处理，已剔除以下几类出行记录：运维人员用于系统巡检与维护的行程、往返于2013年6月至7月期间试点站点的行程，以及时长不足60秒的行程（此类行程可能为误启动或用户为确认车辆安全而重新停靠的操作）。