Netlogo is a tool for creating MAS (Multi-Agent Simulations), and it is used to create simulations for multiple areas and scenarios. With the advent of the use of manned and unmanned aerial vehicles, considering electric vehicles known as eVTOL (electric Vertical Take-Off and Landing), multiple problems in the urban environment appear. Also, as multiple vehicles are expected to be used to obtain urban mobility in dense metropolitan regions around the world, the concept of UAM (Urban Air Mobility) emerges as a way to assure environment air control. To not compromise the future of UAM, researchers were faced with the challenge of structuring the airspace with specific air traffic rules, with separations between vehicles lower than those currently applied, without reducing the aviation required safety levels. As testing in a real scenario is not practical, simulation is a form to gather data and define parameters for this new system. This work aims to present a computational tool that uses multiple agents to generate different UAM scenarios, being possible to analyse the impact that simulation input parameters variation will cause in the safety indicators proposed in the model.