Urban Transfer Entropy across Scales.
Urban Transfer Entropy across Scales.
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DOI：
10.1371/journal.pone.0133780
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Batty M
中科院分区：
文献类型：
--
作者：
Murcio R;Morphet R;Gershenson C;Batty M
本文从不同时空尺度信息交换的角度研究城市群的形态。从城市到城市的人口迁移具有非随机性和遵循非随机路径的特点。城市是多维的非线性现象，因此，了解尺度之间的关系和连通性对于确定地方/区域城市政策的相互作用如何影响城市住区的分布非常重要。为了量化这些关系，我们遵循信息理论的方法使用的概念转移熵。我们的分析是基于随机城市分形模型，它模仿城市不断增长的定居点和移民潮。研究结果表明，不同的政策如何影响城市形态的跨地理尺度产生的信息。
The morphology of urban agglomeration is studied here in the context of information exchange between different spatio-temporal scales. Urban migration to and from cities is characterised as non-random and following non-random pathways. Cities are multidimensional non-linear phenomena, so understanding the relationships and connectivity between scales is important in determining how the interplay of local/regional urban policies may affect the distribution of urban settlements. In order to quantify these relationships, we follow an information theoretic approach using the concept of Transfer Entropy. Our analysis is based on a stochastic urban fractal model, which mimics urban growing settlements and migration waves. The results indicate how different policies could affect urban morphology in terms of the information generated across geographical scales.