Abstract: To address the challenges of information silos,low efficiency,and poor coordination inherent in traditional medical emergency response models within complex urban environments,this study designs and implements a WebGIS-based three-dimensional low-altitude medical emergency dispatch cloud platform.The platform adopts a three-tier B/S architecture and a front-end/back-end decoupled development framework.By integrating mainstream technologies such as Vue.js,Cesium,and Django,it constructs a comprehensive management system encompassing emergency work-order management,medical supplies dispatching,urban 3D visualization,UAV route planning,and real-time status monitoring.A representative medical emergency scenario is simulated to quantitatively compare the response performance of UAV transport and traditional ground-vehicle transport under varying traffic conditions.Experimental results show that the platform can reduce the overall emergency response time by more than 64%.In addition,it enables end-to-end digital management and visual command of emergency tasks,significantly enhancing dispatching efficiency and the level of intelligent decision-making.The simulation experiments validate the platform's potential to improve urban medical emergency response efficiency and provide a feasible and effective technical solution—and platform-level support—for advancing low-altitude economy applications in intelligent urban emergency management.

Key words: WebGIS, low-altitude economy, unmanned aerial vehicle (UAV), medical emergency response, cloud platform, Cesium