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We study the growth of London's street-network in its dual representation, asthe city has evolved over the last 224 years. The dual representation of aplanar graph is a content-based network, where each node is a set of edges ofthe planar graph, and represents a transportation unit in the so-calledinformation space, i.e. the space where information is handled in order tonavigate through the city. First, we discuss a novel hybrid technique toextract dual graphs from planar graphs, called the hierarchical intersectioncontinuity negotiation principle. Then we show that the growth of the networkcan be analytically described by logistic laws and that the topologicalproperties of the network are governed by robust lognormal distributionscharacterising the network's connectivity and small-world properties that areconsistent over time. Moreover, we find that the double-Pareto-likedistributions for the connectivity emerge for major roads and can be modelledvia a stochastic content-based network model using simple space fillingprinciples.

Exploring the Evolution of London's Street Network in the Information Space: a Dual Approach