  Street networks are important infrastructural transportation systems that
cover a great part of the planet. It is now widely accepted that transportation
properties of street networks are better understood in the interplay between
the street network itself and the so called \textit{information} or
\textit{dual network}, which embeds the topology of the street network
navigation system. In this work, we present a novel robustness analysis, based
on the interaction between the primal and the dual transportation layer for two
large metropolis, London and Chicago, thus considering the structural
differences to intentional attacks for \textit{self-organized} and planned
cities. We elaborate the results through an accurate closeness centrality
analysis in the Euclidean space and in the relationship between primal and dual
space. Interestingly enough, we find that even if the considered planar graphs
display very distinct properties, the information space induce them to converge
toward systems which are similar in terms of transportation properties.
