<p>The prompt and accurate allocation of emergency rescue teams following earthquakes directly determines the efficiency of rescue operations. Firstly, the catastrophe scenario of the Tangshan earthquake was reproduced based on the research framework of “risk - scenario - task - capability - decision”. Secondly, based on team characteristics, allocation requirements and collaborative filtering mechanisms, a multi-objective rescue team allocation model was developed. Secondly, the seismic intensity was calculated through the intensity attenuation model, the damage consequences caused by the recurrence of the Tangshan earthquake to buildings and transportation in the Beijing-Tianjin-Tangshan area were predicted, and the allocation tasks of rescue teams were scientifically formulated. Finally, based on the elite strategy non-dominated sorting genetic algorithm (NSGA-II), combined with subtractive clustering and fuzzy logic, 8 demand points and 19 rescue teams were selected to verify the practical application effect of the optimal allocation model of emergency rescue teams under four modes (no priority allocation, disaster situation priority, distance priority, and considering both disaster situation and distance simultaneously). And a collaborative allocation mechanism was proposed. From the perspective of the demand satisfaction rate in disaster-stricken areas, the strategy of giving priority to disaster situations was adopted, and the demand satisfaction rate in the disaster-stricken areas was the highest, reaching 95%. This paper empirically explains the scientific nature of the optimal allocation model for emergency rescue teams, aiming to provide theoretical and methodological support for post-earthquake emergency rescue.</p>