dorsal/arxiv
View SchemaA Topological Pattern of Urban Street Networks: Universality and Peculiarity
| Authors | Bin Jiang |
|---|---|
| Categories | |
| ArXiv ID | physics/0703223 |
| URL | https://arxiv.org/abs/physics/0703223 |
| DOI | 10.1016/j.physa.2007.05.064 |
| Journal | Physica A, 384(2007), 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 U.S. 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.
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"abstract": "In this paper, we derive a topological pattern of urban street networks using\na large sample (the largest so far to the best of our knowledge) of 40 U.S.\ncities and a few more from elsewhere of different sizes. It is found that all\nthe topologies of urban street networks based on street-street intersection\ndemonstrate a small world structure, and a scale-free property for both street\nlength and connectivity degree. More specifically, for any street network,\nabout 80% of its streets have length or degrees less than its average value,\nwhile 20% of streets have length or degrees greater than the average. Out of\nthe 20%, there are less than 1% of streets which can form a backbone of the\nstreet network. Based on the finding, we conjecture that the 20% streets\naccount for 80% of traffic flow, and the 1% streets constitute a cognitive map\nof the urban street network. We illustrate further a peculiarity about the\nscale-free property.",
"arxiv_id": "physics/0703223",
"authors": [
"Bin Jiang"
],
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"doi": "10.1016/j.physa.2007.05.064",
"journal_ref": "Physica A, 384(2007), 647 - 655",
"title": "A Topological Pattern of Urban Street Networks: Universality and Peculiarity",
"url": "https://arxiv.org/abs/physics/0703223"
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