The size distribution across all cities - Double Pareto lognormal strikes
The size distribution across all cities - Double Pareto lognormal strikes
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DOI：
10.1016/j.jue.2010.03.007
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发表时间：
2010-09-01
影响因子：
6.3
通讯作者：
Suedekum, Jens
中科院分区：
文献类型：
--
作者：
Giesen, Kristian;Zimmermann, Arndt;Suedekum, Jens
使用来自八个国家的未截断的定居点规模数据，我们表明，“双帕累托对数正态”（DPLN）分布提供了一个更好的适合实际的城市规模比简单的对数正态（LN）分布。DPLN具有对数正态机身，并且在下尾翼和上尾翼都具有幂律特性。它出现在一个随机的城市增长过程与随机城市形成的稳定状态。我们的研究结果调和了最近关于城市规模的齐普菲等级规模规则的争论。(C)2010年爱思唯尔公司All rights reserved.
Using un-truncated settlement size data from eight countries, we show that the "double Pareto lognormal" (DPLN) distribution provides a better fit to actual city sizes than the simple lognormal (LN) distribution. The DPLN has a lognormal body and features a power law in both the lower and the upper tail. It emerges in the steady-state of a stochastic urban growth process with random city formation. Our findings reconcile a recent debate on the Zipfian rank-size rule for city sizes. (C) 2010 Elsevier Inc. All rights reserved.