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Universal scaling laws of collective human flow patterns in urban regions
16 references·7 citing·24 second hop
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References

  • 2009Power-Law Distributions in Empirical Data8,008 cited
  • 2018Power-law distributions in empirical data6,499 cited
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  • 1885The Laws of Migration3,278 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012A universal model for mobility and migration patterns1,509 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2012Predictability of population displacement after the 2010 Haiti earthquake633 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2015Understanding Human Mobility from Twitter558 cited
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  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review

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368 cited

Cited by

  • 2022A vector field approach for identifying anomalous human mobility10 cited
  • 2023Spatiotemporal flow force model of source/sink human mobilities within city9 cited
  • 2024A generalized vector-field framework for mobility9 cited
  • 2022Potential fields and fluctuation-dissipation relations derived from human flow in urban areas modeled by a network of electric circuits9 cited
  • 2021Universal scaling of human flow remain unchanged during the COVID-19 pandemic9 cited
  • 2022Scaling of spatio-temporal variations of taxi travel routes8 cited
  • 2024Human mobility description by physical analogy of electric circuit network based on GPS data6 cited