AbstractWe examine the distributions of Chinese and Indian city sizes for seven decades (1950s to 2010s) using lognormal, Pareto, and general Pareto distributions. We ascertain which distribution fits the data and how the city size distributions change during these periods. The Chinese city size distribution is represented by lognormal in the early periods (1950–1990) and by Pareto in 2010, but is not characterized by Zipf, which could be attributed to Chinese government’s restrictions of migration from rural to urban areas and the one-child policy. In contrast, the Indian city size distribution transitions from lognormal in the earlier periods to Zipf in the later periods
We study US city size distribution using places data from the Census, without size restrictions, fo...
We study the US city size distribution using the Census places data, without size restriction, for ...
Older cities in the US tend to be larger than younger ones. The distribution of city sizes is, there...
AbstractWe examine the distributions of Chinese and Indian city sizes for seven decades (1950s to 20...
Abstract: This paper studies the evolution of China’s city size distribution, measured by non-agricu...
This paper analyses in detail the features offered by three distributions used in urban economics to...
The Pareto-Positive Stable (PPS) distribution is introduced as a new model for describing city size ...
We estimate the Zipf’s law in the context of 2011 census and 2010 estimates of city sizes. The power...
Traditionally, it is assumed that the population size of cities in a country follows a Pareto distr...
We study the US city size distribution using the Census places data, without size restriction, for ...
This paper examines the evolution of the size distribution of Chinese cities. Since the relaxation o...
This paper presents a simple method for calculating deviations between actual city size and the size...
We develop a urban economic model in which agents locate in cities of different size so as to maximi...
Pareto and Zipf distributions have been used in the modeling of distinct phenomena, namely in biolog...
The size distribution of cities within countries was investigated for several years, leading to the ...
We study US city size distribution using places data from the Census, without size restrictions, fo...
We study the US city size distribution using the Census places data, without size restriction, for ...
Older cities in the US tend to be larger than younger ones. The distribution of city sizes is, there...
AbstractWe examine the distributions of Chinese and Indian city sizes for seven decades (1950s to 20...
Abstract: This paper studies the evolution of China’s city size distribution, measured by non-agricu...
This paper analyses in detail the features offered by three distributions used in urban economics to...
The Pareto-Positive Stable (PPS) distribution is introduced as a new model for describing city size ...
We estimate the Zipf’s law in the context of 2011 census and 2010 estimates of city sizes. The power...
Traditionally, it is assumed that the population size of cities in a country follows a Pareto distr...
We study the US city size distribution using the Census places data, without size restriction, for ...
This paper examines the evolution of the size distribution of Chinese cities. Since the relaxation o...
This paper presents a simple method for calculating deviations between actual city size and the size...
We develop a urban economic model in which agents locate in cities of different size so as to maximi...
Pareto and Zipf distributions have been used in the modeling of distinct phenomena, namely in biolog...
The size distribution of cities within countries was investigated for several years, leading to the ...
We study US city size distribution using places data from the Census, without size restrictions, fo...
We study the US city size distribution using the Census places data, without size restriction, for ...
Older cities in the US tend to be larger than younger ones. The distribution of city sizes is, there...