The size distribution of ‘cities’ delineated with a network theory-based method and mobile phone GPS data

Shota Fujishima, Naoya Fujiwara, Yuki Akiyama, Ryosuke Shibasaki, Ritsu Sakuramachi

Research output: Contribution to journalArticlepeer-review

Abstract

We delineate “cities” independent of administrative boundaries in Japan by using a network theory-based method and GPS-based human mobility data. We divide the country into approximately 1 × 1 km2 cells and detect the partition of cells that is optimal from the perspective of information theory. The resulting groups of cells are specified as cities. We find that the combination of two lognormal distributions better fits the city-size distribution than a distribution with a Pareto upper tail. Moreover, we show that a jump diffusion process is the stochastic process of the city population underlying such a distribution.

Original languageEnglish
Pages (from-to)38-50
Number of pages13
JournalInternational Journal of Economic Theory
Volume16
Issue number1
DOIs
Publication statusPublished - 2020 Mar 1

Keywords

  • GPS data
  • city-size distribution
  • community detection
  • jump diffusion process
  • mixture of distributions
  • power law

ASJC Scopus subject areas

  • Economics and Econometrics

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