  We compare the structural properties of the street networks of ten different
European cities using their primal representation. We investigate the
properties of the geometry of the networks and a set of centrality measures
highlighting differences and similarities among cases. In particular, we found
that cities share structural similarities due to their quasi planarity but that
there are also several distinctive geometrical proprieties. A Principal
Component Analysis is also performed on the distributions of centralities and
their respective moments, which is used to find distinctive characteristics by
which we can classify cities into families. We believe that, beyond the
improvement of the empirical knowledge on streets network proprieties, our
findings can open new perspectives in the scientific relation between city
planning and complex networks, stimulating the debate on the effectiveness of
the set of knowledge that statistical physics can contribute for city planning
and urban morphology studies.
