• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 IEEE International Conference on Ubiquitous Intelligence and Computing; 2014 IEEE International Conference on Autonomic and Trusted Computing; 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops >Identifying Hot Lines of Urban Spatial Structure Using Cellphone Call Detail Record Data
【24h】

Identifying Hot Lines of Urban Spatial Structure Using Cellphone Call Detail Record Data

机译：使用手机通话详细记录数据识别城市空间结构的热线

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The rapid growth of cell phone users in cities enable the cell phone towers spread all over urban area in past years. The user call logs, which refer to users movement trajectory in urban area, can provide an opportunity to understand urban spatial structure. As the extraction of more popular channel of human movement in urban area, the hot lines highlighted the spatial morphology of human flows in urban structure. In this paper, we propose popularity index that utilizes diversity and density index of channel to identify the hot lines based on cell phone call detail record dataset. The density of cell phone users that travel across one channel and the diversity of travel behaviors from different cell phone users refer to one channel has been combined to infer the level of popularity index for each channel. In the case study, a call detail record dataset that generated from the users of an anonymous telecom in Wuhan has been applied to identify the hot lines. The results showed the effectiveness of our approach and can be used as references for more explicitly representing urban dynamics to support urban plan applications.
机译：城市中手机用户的快速增长使手机塔在过去的几年中遍布了整个城市。用户呼叫记录是指用户在城市中的运动轨迹，它可以为了解城市空间结构提供机会。随着人们对城市运动的普遍了解，热线突出了城市结构中人流的空间形态。在本文中，我们提出了基于手机呼叫详细记录数据集的流行指数，该指数利用渠道的多样性和密度指数来识别热线。跨一个通道旅行的手机用户密度以及来自不同手机用户的一个通道的旅行行为的多样性已经组合在一起，以推断出每个通道的受欢迎程度指数。在案例研究中，从武汉一家匿名电信用户生成的呼叫详细记录数据集已用于识别热线。结果表明了我们方法的有效性，可以作为参考来更明确地表示支持城市规划应用的城市动态。

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