College of Computer and Information Science, Southwest University, Chongqing, 400715, China.
College of Computer Science and Technology, Jilin University, 130012, Changchun, China.
Sci Data. 2019 May 23;6(1):71. doi: 10.1038/s41597-019-0070-1.
Position tracking using cellular phones can provide fine-grained traveling data between and within cities on hourly and daily scales, giving us a feasible way to explore human mobility. However, such fine-grained data are traditionally owned by private companies and is extremely rare to be publicly available even for one city. Here, we present, to the best of our knowledge, the largest inter-city movement dataset using cellular phone logs. Specifically, our data set captures 3-million cellular devices and includes 70 million movements. These movements are measured at hourly intervals and span a week-long duration. Our measurements are from the southeast Sangliao Basin, Northeast China, which span three cities and one country with a collective population of 8 million people. The dynamic, weighted and directed mobility network of inter-urban divisions is released in simple formats, as well as divisions' GPS coordinates to motivate studies of human interactions within and between cities.
利用手机进行位置追踪可以提供城市间和城市内每小时和每天的精细出行数据，为我们探索人类移动性提供了可行的方法。然而，这种精细数据传统上是由私人公司拥有的，即使对于一个城市来说，也极难公开获取。在这里，我们展示了迄今为止使用手机记录获取的最大的城市间移动数据集。具体来说，我们的数据集包含 300 万个手机设备和 7000 万次移动，这些移动是按小时间隔测量的，持续一周。我们的测量数据来自中国东北的东南部三市一县，覆盖了一个拥有 800 万人口的地区。城市间移动的动态、加权和有向移动网络以简单的格式发布，以及各分区的 GPS 坐标，以激励城市内和城市间的人类互动研究。
