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Physica A Statistical Mechanics and its Applications
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Size distribution of cities: A kinetic explanation

Size distribution of cities: a kinetic explanation
Authors: Gualandi S.; Toscani G.;

Size distribution of cities: A kinetic explanation

Abstract

We present a kinetic approach to the formation of urban agglomerations which is based on simple rules of immigration and emigration. In most cases, the Boltzmann-type kinetic description allows to obtain, within an asymptotic procedure, a Fokker--Planck equation with variable coefficients of diffusion and drift, which describes the evolution in time of some probability density of the city size. It is shown that, in dependence of the microscopic rules of migration, the equilibrium density can follow both a power law for large values of the size variable, which contains as particular case a Zipf's law behavior, and a lognormal law for middle and low values of the size variable. In particular, connections between the value of Pareto index of the power law at equilibrium and the disposal of the population to emigration are outlined. The theoretical findings are tested with recent data of the populations of Italy and Switzerland.

Country
Italy
Keywords

Physics - Physics and Society, Kinetic models; Fokker-Planck equations; Zipf's law; Lognormal distribution; Large-time behavior, lognormal distribution, kinetic models, FOS: Physical sciences, Physics and Society (physics.soc-ph), Kinetic model, 35Q91, 82B40, 91D10, 97MXX, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Lognormal distribution, Zipf's law, large-time behavior, Fokker–Planck equation, Models of societies, social and urban evolution, Large-time behavior, Fokker-Planck equations, Adaptation and Self-Organizing Systems (nlin.AO)

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
Green
bronze