首页> 外文会议>International conference on transportation engineering >IC Card-Based Data Mining Characteristics of Urban Public Bicycles
【24h】

IC Card-Based Data Mining Characteristics of Urban Public Bicycles

机译:基于IC卡的城市公共自行车数据挖掘特性

获取原文

摘要

This article takes three bicycle sharing systems as the research object, the Citi Bike of New York City , the Capital Bike share of Washington and the Divvy of Chicago. Adopting the method of Data mining, the corresponding long-term historic credit card data, bicycle sharing system location data and the land-use properties coming from three bicycle sharing systems are compared and analyzed to get bicycle sharing system in seasonal, spatial and temporal distribution, site symmetry aspects of trip characteristics, which provides support for bicycle sharing system Operational decisions.
机译:本文以三种自行车共享系统为研究对象,分别是纽约市的花旗自行车,华盛顿的首都自行车和芝加哥的Divvy。采用数据挖掘的方法,对相应的长期历史信用卡数据,自行车共享系统位置数据和来自三个自行车共享系统的土地利用属性进行了比较分析,得出了自行车共享系统在季节,空间和时间上的分布。 ,行程特征的站点对称性方面,为自行车共享系统的运营决策提供支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号