Exploring the Level of Urbanization Based on Zipf's Scaling Exponent
Yanguang Chen

TL;DR
This paper investigates the relationship between Zipf's law and urbanization levels, revealing that the Zipf exponent influences maximum urbanization rates in large countries, and reducing this exponent can promote urban growth.
Contribution
It introduces a mathematical model linking Zipf's exponent to urbanization levels, providing new insights into urban growth dynamics and how to enhance urbanization in populous countries.
Findings
Zipf exponent of 1 limits urbanization to about 50% in large countries.
Zipf exponent less than 1 allows urbanization to exceed 80%.
Reducing the Zipf exponent can promote higher urbanization levels.
Abstract
The rank-size distribution of cities follows Zipf's law, and the Zipf scaling exponent often tends to a constant 1. This seems to be a general rule. However, a recent numerical experiment shows that there exists a contradiction between the Zipf exponent 1 and high urbanization level in a large population country. In this paper, mathematical modeling, computational analysis, and the method of proof by contradiction are employed to reveal the numerical relationships between urbanization level and Zipf scaling exponent. The main findings are as follows. (1) If Zipf scaling exponent equals 1, the urbanization rate of a large populous country can hardly exceed 50%. (2) If Zipf scaling exponent is less than 1, the urbanization level of large populous countries can exceeds 80%. A conclusion can be drawn that the Zipf exponent is the control parameter for the urbanization dynamics. In order to…
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