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Spatial distributions of restaurants emerging from pedestrian behavior and online information sharing

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  • Lee, Ji-Hye
  • Jo, Junghyo
  • Kim, Jong Won
  • Lee, Keumsook
  • Choi, M.Y.

Abstract

We analyze the spatial distributions of restaurants in Seoul to examine the effects of the proximity to a transportation system as well as online information sharing on urban living facilities. Despite its complexity, restaurants are spread in a self-similar manner, forming clusters with the fractal dimension approximately given by 1.62. The probability density of distances between each restaurant and the nearest station shows that the locations of restaurants are associated extensively with the Seoul metropolitan subway system. Moreover, we explore the effects of online information sharing by choosing a subset of restaurants having a large number of online reviews. The distribution of these most-reviewed restaurants exhibits similar but somewhat different geographical patterns. To explain observed features based on data analysis, we propose a mathematical model taking into account the pedestrians and exploration paths as well as land prices around subway stations. Parametrization in terms of the characteristic distance and scaling exponents makes it possible to understand, with a single formula, the seemingly different spatial patterns between all restaurants and most-reviewed ones, manifesting universality in such phenomena.

Suggested Citation

  • Lee, Ji-Hye & Jo, Junghyo & Kim, Jong Won & Lee, Keumsook & Choi, M.Y., 2022. "Spatial distributions of restaurants emerging from pedestrian behavior and online information sharing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    • Handle: RePEc:eee:phsmap:v:597:y:2022:i:c:s037843712200231x
    DOI: 10.1016/j.physa.2022.127265
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    References listed on IDEAS

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