Quantifying Urban Network Transitions with Evolution Degree

descriptionPublicationkeyboard_double_arrow_right Article 27 Mar 2023 English Publisher:Springer Science and Business Media LLCJournal:Nexus Network Journal, volume 25, pages 471-480 (issn: 1590-5896, eissn: 1522-4600,

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Authors: Xiao Xiao; Zidong Liu;

doi: 10.1007/s00004-023-00674-8

handle: 11583/2977588

Quantifying Urban Network Transitions with Evolution Degree

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Abstract

AbstractThis 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.

Related Organizations

The University of Texas at Austin
United States
Polytechnic University of Turin
Italy

Keywords

Structure Evolution Degree; Transitional morphology; Urban morphology; Urban spatial structures; Graph sheory

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