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June 12, 2026Regional Research of Russia

Spatial Patterns of Long-Term Passenger Flow Dynamics at Moscow Metro Stations

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Authors

IKI. V. KiselevInstitute of Geography

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Overview

Randomized analysis confirms that station location affects passenger traffic variability in Moscow, indicating significant urban dynamics.

Key Points

  • This research aims to explore how the location of Moscow Metro stations impacts passenger flow variability over time.
  • Utilized topological and statistical methods for analysis.
  • Calculated spatial positions using the closeness centrality index.
  • Analyzed passenger traffic volatility with the variation coefficient and relative changes over the study period.
  • Stations with high volatility are randomly distributed, while medium and low volatility stations cluster along the center-periphery gradient.
  • Most central stations exhibit a decrease in passenger traffic, whereas outskirts show a slowdown in decline or growth.

Cite This Study

I. V. Kiselev (2026) studied this question.

synapsesocial.com/papers/6a2ba18c8101cf8926f00e8bhttps://doi.org/10.1134/s2079970526600046
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