The efficiency of Emergency Medical Services is a significant indicator of the well-functioning of health systems. I created a project where various strategies are compared in managing ambulance fleets to minimize their response time. Based on Uber open-source data, I analyze then compare the simulation findings against the benchmark of EMS response time in London. Furthermore, I test the effect of varying the average speed of ambulances and the impact of the London Tower Bridge’s closure in the last quarter of 2016 on the average response time. The pandemic pushed me to rethink the ethical framing of what constitutes an optimal ambulance allocation. I aim to extend my case study to other major cities worldwide, specifically, sites where they can’t afford a sophisticated platform for live-feed of the state of traffic. My idea is, as long as Uber is operating in your city, you can have an information-based decision on an optimal allocation of your ambulance fleet.