  A significant challenge in estimating operational feasibility of Urban Air
Mobility (UAM) missions lies in understanding how choices in design impact the
performance of a complex system-of-systems. This work examines the ability of
the UAM ecosystem and the operations within it to meet a variety of demand
profiles that may emerge in the coming years. We perform a set of simulation
driven feasibility and scalability analyses based on UAM operational models
with the goal of estimating capacity and throughput for a given set of
parameters that represent an operational UAM ecosystem. UAM ecosystem design
guidelines, vehicle constraints, and effective operational policies can be
drawn from our analysis. Results show that, while critical for enabling UAM,
the performance of the UAM ecosystem is robust to variations in ground
infrastructure and fleet design decisions, while being sensitive to decisions
for fleet and traffic management policies. We show that so long as the
ecosystem design parameters for ground infrastructure and fleet design fall
within a sensible range, the performance of the UAM ecosystem is affected by
the policies used to manage the UAM traffic.
