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Uneven landscapes and city size distributions

机译:不均匀的景观和城市规模分布

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This paper proposes a new model generating city size distributions that asymptotically follow the log-normal distribution. The log-normal distribution is consistent with Zipfs law in the top tail, which is known to hold for many countries in different periods. The key feature of our model is that it can express city size as a product of multiple random factors (e.g., climate, geographic features, and industry composition). Each factor alone need not generate Zipf's law. Our model provides a justification for classical urban economics models that have been criticized for not delivering Zipfs law, since a single model typically represents only one factor among many present in reality.
机译:本文提出了一种新模型,该模型生成渐近遵循对数正态分布的城市规模分布。对数正态分布与最左上角的齐普夫斯定律一致,已知该定律对许多国家的不同时期均成立。我们模型的关键特征是它可以将城市规模表示为多个随机因素(例如气候,地理特征和行业组成)的乘积。仅每个因素都不需要产生齐普夫定律。我们的模型为经典的城市经济学模型提供了理由,这些模型因未提供齐普斯定律而受到批评,因为单个模型通常仅代表现实中存在的众多因素中的一个。

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