Mansueto Institute for Urban Innovation, The University of Chicago, Chicago, IL, USA.
Ecology & Evolution, Sociology, The University of Chicago, Chicago, IL, USA.
Nat Commun. 2020 Sep 11;11(1):4584. doi: 10.1038/s41467-020-18205-1.
Urban areas exist in a wide variety of population sizes, from small towns to huge megacities. No proposed form for the statistical distribution of city sizes has received more attention than Zipf's law, a Pareto distribution with power law exponent equal to one. However, this distribution is typically violated by empirical evidence for small and large cities. Moreover, no theory presently exists to derive city size distributions from fundamental demographic choices while also explaining consistent variations. Here we develop a comprehensive framework based on demography to show how the structure of migration flows between cities, together with the differential magnitude of their vital rates, determine a variety of city size distributions. This approach provides a powerful mathematical methodology for deriving Zipf's law as well as other size distributions under specific conditions, and to resolve puzzles associated with their deviations in terms of concepts of choice, symmetry, information, and selection.
城市区域的人口规模多种多样,从小城镇到巨型大都市都有。在各种提出的城市规模统计分布形式中,齐普夫定律(Zipf's law)受到了最多关注。它是一种具有等于 1 的幂律指数的帕累托分布。然而,对于小城市和大城市的实证证据通常违反了这种分布。此外,目前还没有理论可以从基本的人口选择中推导出城市规模分布,同时也解释一致的变化。在这里,我们基于人口统计学开发了一个综合框架,展示了城市之间的迁移流结构,以及它们的基本出生率的差异幅度,是如何决定各种城市规模分布的。这种方法为推导齐普夫定律以及在特定条件下的其他规模分布提供了强大的数学方法,并且可以根据选择、对称、信息和选择等概念来解决与这些分布的偏差相关的难题。