To address the crowd evacuation problem at Jinji Lake city square in Suzhou under emergencies, this study builds a real-time dynamic planning model of evacuation network paths and analyzes the influence of complex environments in a large public area on crowd evacuation efficiency. Meanwhile, the Dijkstra algorithm is improved with the time of the crowd escaping from the dangerous area as the weight and the number of people evacuating from each exit is rationally set by the feedback compensation mechanism to realize the dynamic adjustment and path planning of crowd evacuation. The improved algorithm is verified by Pathfinder simulation, which shows that planning the crowd to escape from specific exits in advance is conducive to achieving better crowd evacuation and thus ensuring the safety of life and property under emergencies.