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Crossover from exponential to power-law scaling for human mobility pattern in urban, suburban and rural areas

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  • Hsing Liu
  • Ying-Hsing Chen
  • Jiann-Shing Lih

Abstract

Empirical analysis on human mobility has caught extensive attentions due to the accumulated human dynamical data and the advance of data mining technique. But the results of related research still have to further investigate on some issues such as spatial scale. In this paper, we explore human mobility in greater Kaohsiung area by using long-term taxicabs’ GPS data. The trip distance in our dataset exhibits exponential decay for short trips and power-law scaling for long trips. We propose an approach to investigate the possible mechanism of the power-law tail. Moreover, we utilize the method of simulation and random relinking trip path to explain the empirical observation. Our results show that the origin of power-law movement distribution may be largely due to the power-law population distribution. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Hsing Liu & Ying-Hsing Chen & Jiann-Shing Lih, 2015. "Crossover from exponential to power-law scaling for human mobility pattern in urban, suburban and rural areas," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(5), pages 1-7, May.
    • Handle: RePEc:spr:eurphb:v:88:y:2015:i:5:p:1-7:10.1140/epjb/e2015-60232-1
    DOI: 10.1140/epjb/e2015-60232-1
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    Cited by:

    1. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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    Keywords

    Statistical and Nonlinear Physics;

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