  In this paper we revisit the concept of mobility entropy. Over time, the
structure of spatial interactions among urban centres tends to become more
complex and evolves from centralised models to more scattered origin and
destination patterns. Entropy measures can be used to explore this complexity,
and to quantify the degree of structural diversity of in- and out-flows at
different scales and across the system. We use toy models of commuting networks
to examine global and local measures, allowing the comparison to occur between
different parts of the system. We show that entropy at the link and node level
give different insights on the characteristics of the systems, enabling us to
identify employment hubs and interdependencies between and within different
parts of the system. We discuss how these can be used to inform planning and
policy decisions oriented towards decentralisation and resilience.
