  Urban systems are composed by complex couplings of several components, and
more particularly between the built environment and transportation networks.
Their interaction is involved in the emergence of the urban form. We propose in
this chapter to introduce an approach to urban morphology grasping both aspects
and their interaction. We first define complementary measures, study their
empirical values and their spatial correlations on European territorial
systems. The behavior of indicators and correlations suggest underlying
non-stationary and multi-scalar processes. We then introduce a generative model
of urban growth at a mesoscopic scale. Given a fixed exogenous growth rate,
population is distributed following a preferential attachment depending on a
potential controlled by the local urban form (density, distance to network) and
network measures (centralities and generalized accessibilities), and then
diffused in space to capture urban sprawl. Network growth is included through a
multi-modeling paradigm: implemented heuristics include biological network
generation and gravity potential breakdown. The model is calibrated both at the
first (measures) and second (correlations) order, the later capturing
indirectly relations between networks and territories.
