基于大数据的共享单车投放及管理

Delivery and Management of Shared Bikes Based on Big Data

为解决共享单车无序投放问题,提出以地铁站点为典型场景,利用手机信令大数据识别地铁乘客来源去向分布,再结合地铁进出站刷卡数据及共享单车服务范围、分担率、周转率等,匡算地铁站点共享单车投放规模的思路及方法,并以广州市地铁全网及三号线同和站为例进行推演,结果相对可靠,最后提出相关管理措施及建议,以期为共享单车企业及政府主管部门提供决策参考。

To deal with the disorder problem, this paper proposes a method calculating the scale of shared bikes at the subway station. First identify subway passengers’ origin and destination by mobile phone signaling data mining. Then list the formula with service area, share rate and turnover rate taken into count. The case results which deduced from Guangzhou metro line network and line 3 Tonghe station show that the method is relatively reliable. Finally put forward related management measures and suggestions, hoping to provide decision-making reference for enterprise and government departments of shared bikes.