Abstract
This paper proposes a graph-based mathematical approach with a novel metric, the Structure Evolution Degree, to quantitatively analyze urban spatial structure transitions at cross scale and verifies its effectiveness through two cases studies, the San Bartolomeo Quarter of Venice and the Xiaoxihu Historical Block of Nanjing.
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APA
Xiao, X., & Liu, Z. (2023). Quantifying Urban Network Transitions with Evolution Degree. Nexus Network Journal, 25, 471–480. https://doi.org/10.1007/s00004-023-00674-8
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