TY - JOUR
T1 - Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China
AU - Du, Zhanwei
AU - Yang, Yongjian
AU - Ertem, Zeynep
AU - Gao, Chao
AU - Huang, Liping
AU - Huang, Qiuyang
AU - Bai, Yuan
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85066856411&partnerID=8YFLogxK
U2 - 10.1038/s41597-019-0070-1
DO - 10.1038/s41597-019-0070-1
M3 - 文章
C2 - 31123268
AN - SCOPUS:85066856411
SN - 2052-4463
VL - 6
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 71
ER -