Ridesharing networks have revolutionised urban transportation, but their effectiveness in low population density areas remains a significant challenge for service providers. As these platforms seek to expand beyond metropolitan centres, understanding how their systems perform in sparse user environments becomes increasingly critical. This thesis examines a ridesharing network's theoretical performance in scarcely populated areas, by analysing its users' recurring behaviours, modelling and simulating them to gather insight on possible outcomes.