Characterizing the human mobility pattern in a large street network

Bin Jiang, Junjun Yin, Sijian Zhao

Research output: Contribution to journalArticle

182 Citations (Scopus)

Abstract

Previous studies demonstrated empirically that human mobility exhibits Lévy flight behavior. However, our knowledge of the mechanisms governing this Lévy flight behavior remains limited. Here we analyze over 72000 people's moving trajectories, obtained from 50 taxicabs during a six-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. We further simulate the mobility of a large number of random walkers and find that (1) the simulated random walkers can reproduce the same human mobility pattern, and (2) the simulated mobility rate of the random walkers correlates pretty well (an R square up to 0.87) with the observed human mobility rate.

Original languageEnglish (US)
Article number021136
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume80
Issue number2
DOIs
StatePublished - Aug 31 2009

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streets
flight
Correlate
traffic
Human
Traffic
trajectories
Trajectory

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Cite this

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title = "Characterizing the human mobility pattern in a large street network",
abstract = "Previous studies demonstrated empirically that human mobility exhibits L{\'e}vy flight behavior. However, our knowledge of the mechanisms governing this L{\'e}vy flight behavior remains limited. Here we analyze over 72000 people's moving trajectories, obtained from 50 taxicabs during a six-month period in a large street network, and illustrate that the human mobility pattern, or the L{\'e}vy 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. We further simulate the mobility of a large number of random walkers and find that (1) the simulated random walkers can reproduce the same human mobility pattern, and (2) the simulated mobility rate of the random walkers correlates pretty well (an R square up to 0.87) with the observed human mobility rate.",
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Characterizing the human mobility pattern in a large street network. / Jiang, Bin; Yin, Junjun; Zhao, Sijian.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 80, No. 2, 021136, 31.08.2009.

Research output: Contribution to journalArticle

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