NDLI: Exploring the patterns and evolution of self-organized urban street networks through modeling

Content Provider	Springer Nature Link
Author	Rui, Yikang Ban, Yifang Wang, Jiechen Haas, Jan
Copyright Year	2013
Abstract	As one of the most important subsystems in cities, urban street networks have recently been well studied by using the approach of complex networks. This paper proposes a growing model for self-organized urban street networks. The model involves a competition among new centers with different values of attraction radius and a local optimal principle of both geometrical and topological factors. We find that with the model growth, the local optimization in the connection process and appropriate probability for the loop construction well reflect the evolution strategy in real-world cities. Moreover, different values of attraction radius in centers competition process lead to morphological change in patterns including urban network, polycentric and monocentric structures. The model succeeds in reproducing a large diversity of road network patterns by varying parameters. The similarity between the properties of our model and empirical results implies that a simple universal growth mechanism exists in self-organized cities.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISSN	14346028
Journal	The European Physical Journal B
Volume Number	86
Issue Number	3
e-ISSN	14346036
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-03-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Statistical and Nonlinear Physics Condensed Matter Physics Physics Statistical Physics, Dynamical Systems and Complexity Fluid- and Aerodynamics Solid State Physics
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Condensed Matter Physics

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