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A significant challenge in estimating operational feasibility of Urban AirMobility (UAM) missions lies in understanding how choices in design impact theperformance of a complex system-of-systems. This work examines the ability ofthe UAM ecosystem and the operations within it to meet a variety of demandprofiles that may emerge in the coming years. We perform a set of simulationdriven feasibility and scalability analyses based on UAM operational modelswith the goal of estimating capacity and throughput for a given set ofparameters that represent an operational UAM ecosystem. UAM ecosystem designguidelines, vehicle constraints, and effective operational policies can bedrawn from our analysis. Results show that, while critical for enabling UAM,the performance of the UAM ecosystem is robust to variations in groundinfrastructure and fleet design decisions, while being sensitive to decisionsfor fleet and traffic management policies. We show that so long as theecosystem design parameters for ground infrastructure and fleet design fallwithin a sensible range, the performance of the UAM ecosystem is affected bythe policies used to manage the UAM traffic.

Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations