Abstract: To investigate the impact mechanism of cigarette porosity characteristics on the dynamic draw resistance of cigarettes, a prediction model was developed by quantitatively analyzing the correlation between static porosity in charcteristic regions and dynamic draw resistance of burning cigarettes. The three-dimensional porosity characteristics of cigarette rods were obtained using micro-CT imaging technology. Within each 60s puffing interval, cigarettes in combustion state were divided into four characteristic areas, including the burned section, combusting section, the puffing combusting section, and the remaining section. Dynamic draw resistance was measured using a dynamic draw resistant testing system, and the relationship between static porosity and dynamic draw resistance across various characteristic sections were analyzed. Based on the fourth-order response surface methodology, mathematical models for static porosity and dynamic resistance across characteristic sections were established, and their parameters were optimized using a particle swarm optimization algorithm. The results showed that: 1) Porosity had the most significant impact on the dynamic draw resistance in the puffing combusting section, with an average Pearson correlation coefficient of -0.86, indicating a strong negative correlation. The impact of porosity in the remaining section was weaker, with an average correlation coefficient of -0.54. 2) Based on the established model, the average relative deviations between measured and predicted draw resistance for cigarette specifications C, D, Z and X were 2.80%, 2.32%, 2.59% and 2.76%, respectively, indicating the high accuracy of the model. The established mathematical model analyzed the inherent correlation between the static porosity characteristics and the dynamic draw resistance of cigarette rods, providing a quantification basis for the digital design of cigarette products.