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Partial Correlation between Spatial and Temporal Regularities of Human Mobility.

Wei Geng1,2, Guang Yang3,4

  • 1School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, China. wgeng@swjtu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces temporal entropy to analyze human mobility patterns alongside spatial entropy. Findings reveal a significant correlation between spatial and temporal regularities in human movement, offering new insights into mobility behavior.

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Area of Science:

  • Mobility studies
  • Complex systems analysis
  • Urban planning

Background:

  • Human mobility regularity is crucial for applications in urban planning and transportation.
  • Entropy measures, particularly spatial entropy, are established tools for quantifying mobility patterns.
  • Existing research has primarily focused on spatial aspects of mobility regularity.

Purpose of the Study:

  • To introduce and apply a novel temporal entropy measure for human mobility.
  • To investigate the distinct spatial and temporal regularities of human mobility.
  • To examine the relationship between spatial and temporal entropy in mobility data.

Main Methods:

  • Utilizing data from an automated transit fare collection system in China.
  • Calculating spatial entropy to quantify location regularity.
  • Developing and applying an analogous temporal entropy to measure time regularity.

Main Results:

  • The study analyzed the distributions of spatial and temporal entropies.
  • Dependence of these entropies on various statistical measures was examined.
  • A statistically significant correlation between spatial and temporal entropies was identified, a novel finding.

Conclusions:

  • Spatial and temporal regularities in human mobility are significantly interconnected.
  • The developed temporal entropy provides a new dimension for understanding mobility patterns.
  • This research offers a more comprehensive view of human mobility dynamics.