Characterizing the Human Mobility Pattern in a Large Street Network

Prior studies demonstrated empirically that human mobility exhibits Lévy flight behavior. However, our knowledge of the mechanisms governing this Lévy flight behavior remains limited. In this paper, the authors analyze over 72,000 people’s moving trajectories, obtained from 50 taxicabs during a 6-month period in a large street network, and illustrate that the human mobility pattern, or the Lévy flight behavior, is mainly attributed to the underlying street network. In other words, the goal-directed nature of human movement has little effect on the overall traffic distribution. The mobility of a large number of random walkers is further simulated and it was determined that: 1) the simulated random walkers can reproduce the same human mobility pattern, and 2) the simulated mobility rate of the random walkers correlates failly well (an R square up to 0.87) with the observed human mobility rate.

  • Availability:
  • Authors:
    • Jiang, Bin
    • Yin, Junjun
    • Zhao, Sijian
  • Publication Date: 2009-8


  • English

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  • Accession Number: 01148073
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 6 2010 3:09PM