首页> 外文期刊>PLoS Computational Biology >Tracking urban human activity from mobile phone calling patterns
【24h】

Tracking urban human activity from mobile phone calling patterns

机译:通过手机呼叫模式跟踪城市人类活动

获取原文
           

摘要

Timings of human activities are marked by circadian clocks which in turn are entrained to different environmental signals. In an urban environment the presence of artificial lighting and various social cues tend to disrupt the natural entrainment with the sunlight. However, it is not completely understood to what extent this is the case. Here we exploit the large-scale data analysis techniques to study the mobile phone calling activity of people in large cities to infer the dynamics of urban daily rhythms. From the calling patterns of about 1,000,000 users spread over different cities but lying inside the same time-zone, we show that the onset and termination of the calling activity synchronizes with the east-west progression of the sun. We also find that the onset and termination of the calling activity of users follows a yearly dynamics, varying across seasons, and that its timings are entrained to solar midnight. Furthermore, we show that the average mid-sleep time of people living in urban areas depends on the age and gender of each cohort as a result of biological and social factors.
机译:人类活动的时间以生物钟为标志,而生物钟又被带到不同的环境信号中。在城市环境中,人工照明和各种社交线索的存在往往会破坏自然光对阳光的夹带。但是,尚不完全清楚这种情况是什么。在这里,我们利用大规模数据分析技术来研究大城市中人们的手机通话活动,以推断出城市日常节奏的动态。通过分布在不同城市但位于同一时区的大约1,000,000用户的呼叫模式,我们显示呼叫活动的开始和结束与太阳的东西向同步。我们还发现,用户呼叫活动的开始和终止遵循每年的动态,并且随着季节的变化而变化,并且其时间被带到太阳午夜。此外,我们发现,由于生物学和社会因素,居住在城市地区的人们的平均半睡眠时间取决于每个队列的年龄和性别。

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