UMR CNRS 8504 Géographie-cités, Paris, France.
UMR-T 9403 IFSTTAR LVMT, Champs-sur-Marne, France.
PLoS One. 2018 Sep 6;13(9):e0203516. doi: 10.1371/journal.pone.0203516. eCollection 2018.
We study a stochastic model of urban growth generating spatial distributions of population densities at an intermediate mesoscopic scale. The model is based on the antagonist interplay between the two opposite abstract processes of aggregation (preferential attachment) and diffusion (urban sprawl). Introducing indicators to quantify urban form, the model is first statistically validated and intensively explored to understand its complex behavior across the parameter space. We then compute real morphological indicators on local areas of size 50km covering all European Union, and show that the model can reproduce most of these existing urban morphologies. It implies that the morphological dimension of urban growth processes at this scale are sufficiently captured by the two abstract processes of aggregation and diffusion.
我们研究了一个城市增长的随机模型,该模型在中间介观尺度上产生人口密度的空间分布。该模型基于聚集(优先附着)和扩散(城市扩张)这两个相反的抽象过程之间的拮抗相互作用。引入了量化城市形态的指标,我们首先对模型进行了统计验证,并进行了深入研究,以了解其在整个参数空间中的复杂行为。然后,我们在覆盖整个欧盟的 50km 大小的局部区域上计算了实际的形态指标,并表明该模型可以再现大多数这些现有的城市形态。这意味着在这个尺度上,城市增长过程的形态维度可以通过聚集和扩散这两个抽象过程来充分捕捉。