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Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533259/ https://www.ncbi.nlm.nih.gov/pubmed/31123268 http://dx.doi.org/10.1038/s41597-019-0070-1 |
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author | Du, Zhanwei Yang, Yongjian Ertem, Zeynep Gao, Chao Huang, Liping Huang, Qiuyang Bai, Yuan |
author_facet | Du, Zhanwei Yang, Yongjian Ertem, Zeynep Gao, Chao Huang, Liping Huang, Qiuyang Bai, Yuan |
author_sort | Du, Zhanwei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6533259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65332592019-05-24 Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China Du, Zhanwei Yang, Yongjian Ertem, Zeynep Gao, Chao Huang, Liping Huang, Qiuyang Bai, Yuan Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-05-23 /pmc/articles/PMC6533259/ /pubmed/31123268 http://dx.doi.org/10.1038/s41597-019-0070-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Du, Zhanwei Yang, Yongjian Ertem, Zeynep Gao, Chao Huang, Liping Huang, Qiuyang Bai, Yuan Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title | Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title_full | Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title_fullStr | Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title_full_unstemmed | Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title_short | Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China |
title_sort | inter-urban mobility via cellular position tracking in the southeast songliao basin, northeast china |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533259/ https://www.ncbi.nlm.nih.gov/pubmed/31123268 http://dx.doi.org/10.1038/s41597-019-0070-1 |
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