ArticleScientific data2019
Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A dataset of tourist mobility networks across China derived from online travel blogs.Scientific data · 2026Article
- An intercity investment network dataset of China based on the enterprise registration records (2000-2020).Scientific data · 2025Article
- City-scale synthetic individual-level vehicle trip data.Scientific data · 2023Article
- Coupling the circadian rhythms of population movement and the immune system in infectious disease modeling.PloS one · 2020Article
- Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China.Scientific data · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
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.
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Registered trials
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