首页> 外文期刊>Journal of Transport Geography >Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times
【24h】

Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times

机译:使用浮动汽车数据和循环统计数据检查通勤模式:探索使用新方法和可视化方法来研究出行时间

获取原文
获取原文并翻译 | 示例
       

摘要

In this paper, we focus on the spatial distribution of travel time differences between car and public transport during peak and off-peak hours using geospatial methods and circular statistics. To that end, we combine two origin-destination matrices: one contains the number of simulated commuting trips and the other contains accurate travel times measured using either Floating Car Data or transit data. The combination of both matrices reveals that differences in travel time during peak and off-peak hours are high for intra-city commuting and low for inter-city commuting. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在本文中,我们使用地理空间方法和循环统计方法,重点研究高峰和非高峰时段汽车与公共交通工具之间旅行时间差的空间分布。为此,我们结合了两个起点-目的矩阵:一个包含模拟的通勤旅行次数,另一个包含使用浮动汽车数据或运输数据测量的准确旅行时间。两种矩阵的组合显示,高峰时段和非高峰时段的旅行时间差异对于城市内通勤而言较高,而对于城市间通勤而言则较低。 (C)2015 Elsevier Ltd.保留所有权利。

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