Degree Correlation of Urban Street Networks
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Abstract
Objective In this paper,we use the assortative coefficient to study the degree correlation of urbanstreet networks as represented by stroke intersections.It is found that some street networks demon-strate an assortative mixing pattern and others demonstrate disassortative mining pattern.The assor-tative networks would percolate easily and are resilient to breaks.This demonstrates potential forgeneral applicability to urban planning.Our conclusions are opposite to previous work and possiblereasons are discussed.
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