A topological pattern of urban street networks: Universality and peculiarity

Bin Jiang

Physica A: Statistical Mechanics and its Applications, 2007, vol. 384, issue 2, 647-655

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.

Keywords: Urban street networks; Small world; Scale free; Self-organizing cities; Cognitive maps (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (48)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:384:y:2007:i:2:p:647-655

DOI: 10.1016/j.physa.2007.05.064

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