Citation

Han XP, Hao Q, Wang BH, Zhou T. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2011; 83(3 Pt 2): 036117.

Affiliation

Department of Modern Physics, University of Science and Technology of China, Hefei 230026, People's Republic of China.

Copyright

(Copyright © 2011, American Physical Society, Publisher American Institute of Physics)

DOI

unavailable

PMID

21517568

Abstract

Uncovering the mechanism leading to the scaling law in human trajectories is of fundamental importance in understanding many spatiotemporal phenomena. We propose a hierarchical geographical model to mimic the real traffic system, upon which a random walker will generate a power-law-like travel displacement distribution with tunable exponent, and display a scaling behavior in the probability density of having traveled a certain distance at a certain time. The simulation results, analytical results, and empirical observations reported in D. Brockmann et al. [Nature (London) 439, 462 (2006)] agree very well with each other.

Language: en