Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29087
Title: A topological pattern of urban street networks : universality and peculiarity
Authors: Jiang, B
Keywords: Cognitive maps
Scale free
Self-organizing cities
Small world
Urban street networks
Issue Date: 2007
Publisher: North-Holland
Source: Physica A. Statistical mechanics and its applications, 2007, v. 384, no. 2, p. 647-655 How to cite?
Journal: Physica A. Statistical mechanics and its applications 
Abstract: In this paper, we derive a topological pattern of urban street networks using a large sample (the largest so far to the best of our knowledge) of 40 US cities and a few more from elsewhere of different sizes. It is found that all the topologies of urban street networks based on street-street intersection demonstrate a small world structure, and a scale-free property for both street length and connectivity degree. More specifically, for any street network, about 80% of its streets have length or degrees less than its average value, while 20% of streets have length or degrees greater than the average. Out of the 20%, there are less than 1% of streets which can form a backbone of the street network. Based on the finding, we conjecture that the 20% streets account for 80% of traffic flow, and the 1% streets constitute a cognitive map of the urban street network. We illustrate further a peculiarity about the scale-free property.
URI: http://hdl.handle.net/10397/29087
ISSN: 0378-4371
EISSN: 1873-2119
DOI: 10.1016/j.physa.2007.05.064
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