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Correlations and scaling laws in human mobility.

Xiang-Wen Wang1, Xiao-Pu Han2, Bing-Hong Wang3

  • 1Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China ; Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America ; Department of Modern Physics, University of Science and Technology of China, Hefei, China.

Plos One
|January 24, 2014
PubMed
Summary

Human mobility exhibits scaling anomalies and positive correlations. Cascading dynamics in human movements likely cause these scaling properties, impacting displacement distributions and predictions.

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Area of Science:

  • Complex Systems Science
  • Human Mobility Studies
  • Statistical Physics

Background:

  • Human mobility research reveals widespread scaling anomalies, such as power-law-like displacement distributions.
  • Understanding the origins of these anomalies is crucial for theoretical and applied advancements in mobility studies.

Purpose of the Study:

  • To empirically investigate the origins of scaling anomalies in human mobility patterns.
  • To explore the relationship between temporal-spatial patterns, speed-displacement dynamics, and human movement correlations.

Main Methods:

  • Empirical analysis of real-world human movement data derived from GPS records.
  • Investigation of scaling properties in temporal-spatial patterns and speed-displacement relationships.
  • Correlation analysis at both population and individual levels to understand displacement distributions.

Main Results:

  • Observed rich scaling properties in temporal-spatial human movement patterns.
  • Identified an abnormal transition in speed-displacement patterns, linked to real-world traffic jams.
  • Found significant positive correlations in population-level displacements, suggesting cascading dynamics.
  • Noted that stronger displacement correlations correlate with power-law-like individual displacement distributions.

Conclusions:

  • Empirical findings connect scaling anomalies in displacement distributions with positive displacement series correlations.
  • Cascading-like dynamics, evidenced by positive correlations, are implied to drive the emergence of scaling properties in human mobility.
  • These insights can inform future research on the mechanisms and predictive modeling of human mobility.