论文标题
城市扩展法中的空间互动
Spatial interactions in urban scaling laws
论文作者
论文摘要
对城市规模法则的分析假定，不同城市的观察结果与附近城市的存在无关。在这里，我们介绍了生成模型和数据分析方法，这些方法通过明确对不同位置的个体之间的相互作用进行建模来克服这一限制。描述缩放定律和空间相互作用的参数是同时从数据中推断出来的，从而可以进行严格的（贝叶斯）模型比较，并克服了定义城市区域边界的问题。结果五个不同的数据集表明，包括空间相互作用通常会导致更好的模型和规模定律指数的变化。参考文献中提供了数据和代码。 [1]。
Analyses of urban scaling laws assume that observations in different cities are independent of the existence of nearby cities. Here we introduce generative models and data-analysis methods that overcome this limitation by modelling explicitly the effect of interactions between individuals at different locations. Parameters that describe the scaling law and the spatial interactions are inferred from data simultaneously, allowing for rigorous (Bayesian) model comparison and overcoming the problem of defining the boundaries of urban regions. Results in five different datasets show that including spatial interactions typically leads to better models and a change in the exponent of the scaling law. Data and codes are provided in Ref. [1].
