scholarly journals City Size Distribution in China: Are Large Cities Dominant?

2014 ◽  
Author(s):  
Zelai Xu ◽  
Nong Zhu
Urban Studies ◽  
2009 ◽  
Vol 46 (10) ◽  
pp. 2159-2185 ◽  
Author(s):  
Zelai Xu ◽  
Nong Zhu

Author(s):  
Rafael González-Val

This paper analyses the Spanish city size distribution from a new perspective, focusing on the role played by distance. Using un-truncated data from all cities in 1900 and 2011, we study the spatial distribution of cities and how the city size distribution varies with distance. First, K-densities are estimated to identify different spatial patterns depending on city size, with significant patterns of dispersion found for medium-sized and large cities. Second, using a distance-based approach that considers all possible combinations of cities within a 200-kilometre radius, we analyse the influence of distance on the city size distribution parameters, considering both the Pareto and lognormal distributions. The results validate the Pareto distribution in most of the cases regardless of city size, and the lognormal distribution at short distances.


2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Joachim Kaldasch

An evolutionary model of the city size distribution is presented that explains the size of a city from the reproduction process and the migration of humans between cities. The model suggests that the city size distribution is a lognormal distribution with a power law tail in agreement with empirical results and computer simulations. The main idea of the model is that the competition between cities in the migration process is the origin of Gibrat's law. While growth rate fluctuations generate the lognormal branch of the size distribution, the power law tail for large cities is caused by a small mean growth rate.


1982 ◽  
Vol 14 (11) ◽  
pp. 1449-1467 ◽  
Author(s):  
B Roehner ◽  
K E Wiese

A dynamic deterministic model of urban growth is proposed, which in its most simple form yields Zipf's law for city-size distribution, and in its general form may account for distributions that deviate strongly from Zipf's law. The qualitative consequences of the model are examined, and a corresponding stochastic model is introduced, which permits, in particular, the study of zero-growth situations.


1996 ◽  
Vol 1 (2) ◽  
pp. 185-198 ◽  
Author(s):  
Ibrahim M. Shukri ◽  
Habib M. Alshuwaikhat ◽  
Shaibu Bala Garba

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