摘要
针对公共自行车服务系统运行及其效率问题,运用数理统计方法对浙江省温州市鹿城区公共自行车管理中心提供的某20天借车和还车的原始数据进行处理.计算出20天累计的借车频次和还车频次前10名的站点排序情况,并分析得出每次用车时长呈右偏态分布,建立了每张借车卡累计借车频次分布的指数模型.此外,还针对站点的位置设置以及锁桩的配置进行分析,提出了相应的对策建议.
Aiming at the run of public bicycle service system and its efficiency, the mathematical statistics method was used to manage the raw data during 20 days of borrowing and returning the public bicycle of the public bicycle management center in Lucheng district, Wenzhou city, Zhejiang, and cumulative frequencies of the top ten were obtained. The time of borrowing bicycles showed a trend of right skewness distribution, the index model of the distribution of the cumulative borrowing number was established. In addition, in view of the setting of the site and the allocation of the lock pile, the corresponding suggestions were put forward.
出处
《上海工程技术大学学报》
CAS
2016年第4期359-364,共6页
Journal of Shanghai University of Engineering Science
基金
国家社会科学基金资助项目(12BTJ008)
安徽省教育厅自然科学研究资助项目(KJ2013Z001)
关键词
公共自行车
右偏态分布
指数模型
public bicycle
right skewness distribution
index model
