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Assessing Complexity of Urban Spatial Networks
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.
Assessing Complexity of Urban Spatial Networks
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.
Assessing Complexity of Urban Spatial Networks
Modeling,Simulation in Science(Birkhäuser)
D'Acci, Luca (Herausgeber:in) / Volchenkov, Dimitri (Autor:in)
24.03.2019
25 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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