Researchers have developed a framework to design on-demand Urban Air Mobility (UAM) networks that balance vertiport siting and fleet simulation. The approach estimates demand from commuter data, clusters candidate locations, and evaluates networks with a discrete-event simulation. A case study in Greater Los Angeles shows larger fleets improve completion time but don't eliminate deadhead flights due to spatial imbalance. Travel-time savings analysis suggests UAM is most beneficial for longer or congested trips. --- Why it matters: This work matters because it provides a practical framework for designing efficient and effective on-demand UAM networks, which could alleviate traffic congestion in urban areas. Engineers can apply this methodology to optimize vertiport placement and fleet management. Source: https://arxiv.org/abs/2608.14974