After having witnessed the diffusion of car sharing systems during the lastdecade, the research community has posed a number of relevant questions abouttheir current utilization trends in different contexts, their growth perspectives,and the gradual shift towards more sustainable and efficient technologies. Sincea sufficiently large and heterogeneous amount of car sharing usage data has nowbecome available, researchers may address the aforesaid issues through a data-driven approach. In this paper, we analyze the car sharing usage data acquiredfrom an operator for 14 months between 2016 and 2018 for 25 cities in Europeand North America. We identify and track the evolution of the most relevantfleet usage patterns at different temporal and spatial granularities. Furthermore,we investigate the effects of booking cancellations and charge/fill events on usagepatterns. Finally, we deepen our analysis on different engine types by makinga in-depth comparison between the systems relying on electric cars and those relying on internal combustion engine cars. The results shed light over theexperience of the users and the different profitability of the operator according to the characteristics of usage.
We provide below high-level and aggregated summaries of the traces.