scholarly journals The Spanish spatial city size distribution

2020 ◽  
pp. 239980832094186
Author(s):  
Rafael González-Val
Keyword(s):  
Size Distribution ◽  
Pareto Distribution ◽  
City Size ◽  
Large Cities ◽  
Lognormal Distributions ◽  
City Size Distribution ◽  
Distribution Parameters ◽  
Significant Patterns ◽  
New Perspective ◽  
The City

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.

scholarly journals Evolutionary Model of the City Size Distribution

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Joachim Kaldasch
Keyword(s):  
Growth Rate ◽  
Size Distribution ◽  
Power Law ◽  
Main Idea ◽  
Evolutionary Model ◽  
City Size ◽  
Large Cities ◽  
City Size Distribution ◽  
Reproduction Process ◽  
The City

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.

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

Urban Studies ◽  
2009 ◽  
Vol 46 (10) ◽  
pp. 2159-2185 ◽  
Author(s):  
Zelai Xu ◽  
Nong Zhu
Keyword(s):  
Size Distribution ◽  
City Size ◽  
Large Cities ◽  
City Size Distribution

scholarly journals Is Economic Integration a Historical Shock to City-size Distribution?

2018 ◽  
Vol 21 (1) ◽  
pp. 83-100
Author(s):  
Engin Sorhun
Keyword(s):  
Size Distribution ◽  
Economic Integration ◽  
Structural Break ◽  
City Size ◽  
Space Distribution ◽  
Eu Integration ◽  
City Size Distribution ◽  
Bound Test ◽  
The City ◽  
The Eu

Based on the assumption that the economic integration process contributes, via market reforms, to the dynamics of the space distribution in candidate countries, this study examines (i) whether agglomeration forces or dispersion forces are dominant; (ii) whether EU-integration causes a structural break to the space distribution over time; (iii) whether EU-integration makes the city-size distribution more even or uneven in eight eastern European Union members (EU–8). To carry out the analysis, the Ziwot-Andrew and Cusum Square tests are used to detect structural breaks; the ARDL Bound test is used to reveal the interaction between long-run and short-run equilibrium; and the Granger test is used to determine the direction of the causality among the variables. The main results are: the integration with the EU (i) caused a structural break to the city-size distribution, (ii) made the city-size distribution more uneven and (iii) stimulated the agglomerating forces over the spreading forces in the EU–8.

scholarly journals A scale-free transportation network explains the city-size distribution

10.3982/qe619 ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 1419-1451 ◽  
Author(s):  
Marcus Berliant ◽  
Axel H. Watanabe
Keyword(s):  
Size Distribution ◽  
Transportation Network ◽  
City Size ◽  
Scale Free ◽  
City Size Distribution ◽  
The City

Macro and Micro Dynamics of the City Size Distribution

2009 ◽  
pp. 33-49 ◽  
Author(s):  
Lucien Benguigui ◽  
Efrat Blumenfeld-Lieberthal ◽  
Michael Batty
Keyword(s):  
Size Distribution ◽  
City Size ◽  
City Size Distribution ◽  
The City

City-Size Distribution and the Size of Urban Systems

1985 ◽  
Vol 17 (7) ◽  
pp. 905-913 ◽  
Author(s):  
I Thomas
Keyword(s):  
Size Distribution ◽  
Urban System ◽  
City Size ◽  
Urban Systems ◽  
The World ◽  
City Size Distribution ◽  
The City

This paper is an analysis of the city-size distribution for thirty-five countries of the world in 1975; the purpose is to explain statistically the regularity of the rank-size distribution by the number of cities included in the urban systems. The rank-size parameters have been computed for each country and also for four large urban systems in which several population thresholds have been defined. These thresholds seem to have more influence than the number of cities included in the urban system on the regularity of the distribution.

A City-Size Distribution Model Based on the Weber-Fechner Law of Marginal Effects

1981 ◽  
Vol 13 (6) ◽  
pp. 689-701 ◽  
Author(s):  
R Bussière ◽  
T Stovall
Keyword(s):  
Utility Function ◽  
Size Distribution ◽  
Hierarchical Model ◽  
Pareto Distribution ◽  
City Size ◽  
Distribution Model ◽  
Marginal Effects ◽  
City Size Distribution ◽  
Locational Decisions ◽  
Maximum Entropy Distribution

The distribution by size of the cities of a region reflects the locational decisions made by the inhabitants concerned. Some of the factors underlying these decisions have a bearing on city size, and, it is assumed, make up a utility function that varies with city size according to the Weber-Fechner law of marginal effects. Under these conditions, the maximum entropy distribution of the population among the cities of the region gives rise to the hierarchical model described in the paper. Examples are given of calibrations of the model. It is shown that in the applicable statistical range this distribution and the Pareto distribution, although formally different, are quantitatively interchangeable. The derivation presented here may therefore be regarded as providing a new rationale for the Pareto city-size distribution model.

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