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The scaling of human mobility by taxis is exponential

Author

Listed:
  • Liang, Xiao
  • Zheng, Xudong
  • Lv, Weifeng
  • Zhu, Tongyu
  • Xu, Ke

Abstract

As a significant factor in urban planning, traffic forecasting and prediction of epidemics, modeling patterns of human mobility draws intensive attention from researchers for decades. Power-law distribution and its variations are observed from quite a few real-world human mobility datasets such as the movements of banking notes, trackings of cell phone users’ locations and trajectories of vehicles. In this paper, we build models for 20 million trajectories with fine granularity collected from more than 10 thousand taxis in Beijing. In contrast to most models observed in human mobility data, the taxis’ traveling displacements in urban areas tend to follow an exponential distribution instead of a power-law. Similarly, the elapsed time can also be well approximated by an exponential distribution. Worth mentioning, analysis of the interevent time indicates the bursty nature of human mobility, similar to many other human activities.

Suggested Citation

  • Liang, Xiao & Zheng, Xudong & Lv, Weifeng & Zhu, Tongyu & Xu, Ke, 2012. "The scaling of human mobility by taxis is exponential," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2135-2144.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:5:p:2135-2144
    DOI: 10.1016/j.physa.2011.11.035
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    References listed on IDEAS

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    1. Reynolds, A.M., 2011. "On the origin of bursts and heavy tails in animal dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 245-249.
    2. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
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