  Urban Air Mobility (UAM) has the potential to revolutionize transportation.
It will exploit the third dimension to help smooth ground traffic in densely
populated areas. To be successful, it will require an integrated approach able
to balance efficiency and safety while harnessing common resources and
information. In this work we focus on future urban air-taxi services, and
present the first methods and algorithms to efficiently operate air-taxi at
scale. Our approach is twofold. First, we use a passenger-centric perspective
which introduces traveling classes, and information sharing between transport
modes to differentiate quality of services. This helps smooth multimodal
journeys and increase passenger satisfaction. Second, we provide a flight
routing and recharging solution which minimizes direct operational costs while
preserving long term battery life through reduced energy-intense recharging.
Our methods, which surpass the performance of a general state-of-the-art
commercial solver, are also used to gain meaningful insights on the design
space of the air-taxi problem, including solutions to hidden fairness issues.
