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检测城市要素演变与人口动态模型之间的相互作用。

Detecting the interaction between urban elements evolution with population dynamics model.

作者信息

Jin Min, Wang Lizhe, Ge Fudong, Yan Jining

机构信息

School of Computer Science, China University of Geosciences, Wuhan, 430074, China.

Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, 430074, China.

出版信息

Sci Rep. 2023 Jul 31;13(1):12367. doi: 10.1038/s41598-023-38979-w.

Abstract

Exploring the evolution of urban elements can improve understanding of the developmental process of city and drive such development into a better direction. However, the non-linearity and complexity of changes in urban elements have brought great challenges to understanding this process. In this paper, we propose a cross-diffusion partial differential equation based on ecological dynamics to simulate the evolutionary process of urban elements from the microscopic viewpoint. The interaction between urban elements is simulated by constructing a non-linear and spatiotemporal change equation, and the main influence between elements is evaluated by the key parameters in the discussed equation. Our model is first experimented to time-series data on population density and housing prices to analyzes the interaction of these two elements in the evolution process. We then extend the model to label data, land cover data, to obtain a quantitative expression of the interaction between different land types in the process of urban land cover change.

摘要

探索城市要素的演变可以增进对城市发展过程的理解,并推动城市朝着更好的方向发展。然而,城市要素变化的非线性和复杂性给理解这一过程带来了巨大挑战。在本文中,我们提出了一种基于生态动力学的交叉扩散偏微分方程,从微观视角模拟城市要素的演化过程。通过构建一个非线性的时空变化方程来模拟城市要素之间的相互作用,并通过所讨论方程中的关键参数来评估要素之间的主要影响。我们首先将模型应用于人口密度和房价的时间序列数据,以分析这两个要素在演化过程中的相互作用。然后,我们将模型扩展到土地覆盖数据等标签数据,以获得城市土地覆盖变化过程中不同土地类型之间相互作用的定量表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f8e/10390572/051222cd0a2e/41598_2023_38979_Fig1_HTML.jpg

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