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arXiv:1410.2094physics.soc-ph

A typology of street patterns

Rémi Louf, Marc Barthelemy

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Abstract

We propose a quantitative method to classify cities according to their street pattern. We use the conditional probability distribution of shape factor of blocks with a given area, and define what could constitute the `fingerprint' of a city. Using a simple hierarchical clustering method, these fingerprints can then serve as a basis for a typology of cities. We apply this method to a set of 131 cities in the world, and at an intermediate level of the dendrogram, we observe 4 large families of cities characterized by different abundances of blocks of a certain area and shape. At a lower level of the classification, we find that most European cities and American cities in our sample fall in their own sub-category, highlighting quantitatively the differences between the typical layouts of cities in both regions. We also show with the example of New York and its different Boroughs, that the fingerprint of a city can be seen as the sum of the ones characterising the different neighbourhoods inside a city. This method provides a quantitative comparison of urban street patterns, which could be helpful for a better understanding of the causes and mechanisms behind their distinct shapes.

arXiv comments
9 pages, 6 figures
Journal reference
Journal of the Royal Society Interface, 11:20140924 (2014)
DOI
doi:10.1098/?rsif.2014.0924
Subjects
physics.soc-phPhysics and Society cond-mat.dis-nnDisordered Systems and Neural Networks

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