首页> 外文会议>2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services >Integrated geo-sensing: A case study on the relationships between weather and mobile phone usage in Northern Italy
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Integrated geo-sensing: A case study on the relationships between weather and mobile phone usage in Northern Italy

机译:综合地理感应:以意大利北部天气与手机使用之间的关系为例的案例研究

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Meteorological phenomena, in particular rapid events with local dynamics such as the onset of heavy rainfall, may have several instantaneous impacts on human behaviour. These impacts include, for example, the utilization of private or public transportation or on scheduling of personal and business activities. Given the increasing accuracy of weather forecasting at any scale, understanding the relationship between weather patterns and collective mobility behaviour or activity could, for instance, provide valuable insights into understanding urban dynamics and/or demand for public resources such as transportation. Scientific studies show that user-generated traffic in wireless communication networks can serve as a proxy for spatio-temporal patterns of human behaviour. In this paper we explore the relationship between weather and mobile phone usage and indirectly on human behaviour. We link the time-space pattern of meteorological measurements with that of mobile phone usage in the same large scale area (a region in Northern Italy). Taking the spatial context into account, we compare frequency-domain statistics correlations between weather and telecom activity and how they change between mountainous, urban, and coastal areas. The results indicate significant relationships between weather conditions, telecom activity, and area type.
机译:气象现象,特别是具有局部动态的快速事件,如重度降雨,可能对人类行为有几个瞬时影响。这些影响包括,例如,利用私人或公共交通或按照个人和商业活动的调度。鉴于任何规模的天气预报的准确性提高,例如,了解天气模式和集体流动性行为或活动之间的关系,可以为了解对公共资源等公共资源等公共资源进行有价值的见解。科学研究表明,无线通信网络中的用户生成的流量可以用作人类行为的时空模式的代理。在本文中,我们探讨了天气和手机使用与人类行为之间的关系。我们将具有相同大型地区的移动电话使用量(意大利北部地区)的移动电话使用情况进行链接时空模式。考虑到空间背景,我们比较天气和电信活动之间的频域统计相关性以及它们如何改变山区,城市和沿海地区。结果表明了天气条件,电信活动和面积类型之间的显着关系。

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