通过人类流动性挖掘了解地点探索和访问情况

Shafqat Shad, Muhammad Usman, Chandan Kumar, Hadiqa Afzal
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引用次数: 0

摘要

由于过去几十年来定位采集技术(GPS、GSM、Wifi 等)的进步,时空数据已被广泛使用。这些时空数据可以很容易地用于利用用户的轨迹、历史和习惯来开发基于位置的服务(LBS)。但要利用基于位置的用户历史记录却有一定的难度,在本文中,我们利用用户的 GPS 日志数据来发现用户的轨迹并分析其不同的生活模式。我们提出,人的一生有 80% 的时间是在已知地点或安全地点度过的。我们将 GPS 模式转换为访问地点,将其转换为每日和定期趋势,并对其进行长期分析,以证明我们的假设。我们使用了微软亚洲研究院收集的 GPS 数据,该数据有 182 个用户,其中 73 个用户提供了他们的移动方式信息,即出租车、步行、火车等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Places Exploration and Visitation via Human Mobility Mining
Spatial-temporal data is widely available because of advancement in location acquisition technologies (GPS, GSM, Wifi, etc.) over past decades. This spatial-temporal data can easily be used to leverage user's trajectories, history, and habits to develop location-based services (LBS). But to leverage user's history based on location is bit challenging, in this paper we used the user's GPS log data to discover trajectories and analyze different life patterns over it. We proposed that a human spends 80% of his life on known places or safe places. We converted GPS patterns into visitation locations, converted them into daily and periodic trends and analyzed them over time to prove our assumption. We used the GPS data collected by Microsoft Research Asia, this data has 182 users with 73 users with their mode of movement information i.e., Taxi, Walk, Train etc.
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