大数据下宁波市公共自行车出行特征分析

通过数据分析来了解宁波市公共自行车系统运行规律和机理. 结果表明: 全市公共自行车租还车时间服从对数正态分布, 其均值为17.19min, 部分租赁点存在潮汐现象. 江北和镇海租赁点的布局都具有“小集群”不成网特征, 平均租还车时间分别为最长和最短; 通过建立市民出行偏好的效用函数, 解释了它们在租还车时间上的差异. 最后, 针对“租赁点布局”和“潮汐现象”等问题提出了租赁点布局成网化发展和分级调度优化管理的建议.

A study on operation characteristic of Ningbo shared bicycle industry in perspective of big-data

In this paper we explore the operation characteristic of the public shared bicycle system in Ningbo using big data analysis. According to the analysis, the time between lease and return in Ningbo observes the law of lognormal distribution. The average time cost between lease and return is 17.19 minutes. And the traffic peak-hour phenomenon exists in some lease sites. The lease sites in Jiangbei district and Zhenhai district presents small clusters and has not yet formed a systematic network. The lease time in Jiangbei is found to be the longest and the shortest is identified in Zhenhai. The utility function is established according to the analysis of riders’ preference for transportation vehicle. The utility function can explain the difference of the time cost for the two districts. Finally, to tackle the problem of lease site distribution and traffic rush-hour phenomenon, the author puts forward some suggestions for the systematic network distribution of lease sites and optimal management of hierarchy scheduling.