Assessing complexity of urban spatial networks

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In the present chapter, we discuss the graph representations of urban spatial patterns (maps) and suggest a computationally feasible technique for understanding urban forms based on scale-dependent random walks that can be used in order to spot the relatively isolated locations and neighborhoods, to detect urban sprawl, and to illuminate the hidden community structures in complex urban textures. The approach may be implemented for the detailed expertise of any urban pattern and the associated transport networks that may include many transportation modes.

Original languageEnglish
Title of host publicationModeling and Simulation in Science, Engineering and Technology
PublisherSpringer Basel
Pages173-197
Number of pages25
DOIs
StatePublished - 2019

Publication series

NameModeling and Simulation in Science, Engineering and Technology
ISSN (Print)2164-3679
ISSN (Electronic)2164-3725

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