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Seoul is more polycentric than London, suggesting polycentric city models may better address urban challenges. This study used smart travel card data to analyze human movements and urban structure.

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Area of Science:

  • Urban Planning and Geography
  • Spatial Analysis
  • Transportation Science

Background:

  • The polycentric city model is favored in spatial planning to mitigate issues like congestion and accessibility in monocentric cities.
  • A clear, measurable definition of urban polycentricity is lacking, hindering its practical application.
  • Smart travel card data offers high spatio-temporal resolution for analyzing urban dynamics.

Purpose of the Study:

  • To develop a method for quantifying urban polycentricity.
  • To infer the degree of polycentricity by analyzing human movement patterns.
  • To compare the polycentricity of London and Seoul.

Main Methods:

  • Leveraging fine spatio-temporal resolution smart travel card data.
  • Developing a novel probabilistic approach to model complex human movements.
  • Analyzing deviations from a well-defined monocentric urban model.

Main Results:

  • London exhibits a higher degree of monocentricity compared to Seoul.
  • Seoul demonstrates characteristics indicative of a more polycentric urban structure.
  • Human movement patterns correlate with sophisticated urban structures.

Conclusions:

  • The proposed method effectively infers urban polycentricity from travel data.
  • Seoul is likely more polycentric than London, offering insights for urban planning.
  • Polycentricity may be a key factor in addressing urban challenges.