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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Multi-scale spatio-temporal analysis of human mobility.

Laura Alessandretti1, Piotr Sapiezynski2, Sune Lehmann2,3

  • 1City, University of London, London EC1V 0HB, United Kingdom.

Plos One
|February 16, 2017
PubMed
Summary
This summary is machine-generated.

High-resolution digital traces reveal that human mobility patterns, including travel distances and time spent at locations, follow predictable log-normal and gamma distributions. These patterns are not solely due to modern routines but reflect fundamental aspects of human behavior.

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Area of Science:

  • Human mobility studies
  • Complex systems science
  • Data science

Background:

  • Digital traces from phone calls and online logins enhance understanding of human mobility.
  • Previous studies faced limitations due to data resolution and coverage for describing human displacements across scales.

Purpose of the Study:

  • To characterize human mobility behavior across multiple spatial and temporal scales.
  • To analyze the underlying distributions and emergent time-scales of human movement patterns.

Main Methods:

  • Analysis of digital traces from approximately 850 individuals over 25 months.
  • Data sampling at approximately 16-second intervals with approximately 10-meter spatial resolution.
  • Statistical analysis of distance and waiting time distributions between locations.

Main Results:

  • Human mobility distances are best described by log-normal distributions.
  • Waiting times between consecutive locations follow gamma distributions.
  • Emergent natural time-scales are observed in human mobility patterns, indicating underlying regularity.

Conclusions:

  • Human mobility exhibits predictable statistical patterns, characterized by log-normal and gamma distributions.
  • The regularity of human mobility suggests emergent natural time-scales.
  • The discovery of new places also follows log-normal distributions, indicating these patterns are fundamental and not solely a product of modern life.