Hierarchical graph-based approaches provide valuable abstractions for studying emerging topological structures and favour a better understanding of mobility patterns and similarities. This research introduces a hierarchical similarity measure that applies a series of distances toward a hierarchical graph-based model. This similarity measure is derived from different categories of distances and is experimented with evolving hierarchical graphs extracted from a European maritime mobility dataset.

Hierarchical graph-based approaches provide valuable abstractions for studying the topological structures that emerge and a better understanding of mobility patterns at complementary spatial and temporal scales. This research introduces a hierarchical graph-based model to represent and analyse a maritime transportation network at several spatio-temporal and semantic levels, as well as a new hierarchical extension of an accessibility measure. The proposed model is implemented in a graph database using maritime mobility data. The peculiarities of the hierarchical accessibility are computationally evaluated in comparison with non-hierarchical approaches.