Gravity model explained by the radiation model on a population landscape

Inho Hong, Woo Sung Jung, Hang Hyun Jo*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
94 Downloads (Pure)

Abstract

Understanding the mechanisms behind human mobility patterns is crucial to improve our ability to optimize and predict traffic flows. Two representative mobility models, i.e., radiation and gravity models, have been extensively compared to each other against various empirical data sets, while their fundamental relation is far from being fully understood. In order to study such a relation, we first model the heterogeneous population landscape by generating a fractal geometry of sites and then by assigning to each site a population independently drawn from a power-law distribution. Then the radiation model on this population landscape, which we call the radiation-on-landscape (RoL) model, is compared to the gravity model to derive the distance exponent in the gravity model in terms of the properties of the population landscape, which is confirmed by the numerical simulations. Consequently, we provide a possible explanation for the origin of the distance exponent in terms of the properties of the heterogeneous population landscape, enabling us to better understand mobility patterns constrained by the travel distance.

Original languageEnglish
Article number0218028
Number of pages13
JournalPloS one
Volume14
Issue number6
DOIs
Publication statusPublished - 6 Jun 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • ZIPFS LAW
  • SIZE DISTRIBUTION
  • MOBILITY
  • GROWTH
  • CITIES
  • PREDICTABILITY
  • NETWORK
  • COMPLEX

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    Hong, I. (Creator), Jung, W. (Creator) & Jo, H. (Creator), 15 May 2019

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