Journal
INTERNATIONAL JOURNAL OF ECONOMIC THEORY
Volume 16, Issue 1, Pages 38-50Publisher
WILEY
DOI: 10.1111/ijet.12254
Keywords
city-size distribution; community detection; GPS data; jump diffusion process; mixture of distributions; power law
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Funding
- Kikawada Foundation, Japan Society for the Promotion of Science (JSPS)
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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 x 1 km(2) 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.
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