<p>Rockburst is a typical dynamic hazard in coal mining that severely affects safe production. Existing risk evaluation systems for rockbursts involve numerous factors and overlap in information, which affects the accuracy of judgment. This study combines theoretical analysis, mathematical modeling, and field testing to analyze the influencing factors of rockburst risk from multiple dimensions. Based on a factor reduction algorithm, seven influencing factors of rockburst are analyzed to identify the key disaster-causing factors and construct a hazard assessment method. The results indicate that coal seam thickness variation, geological structures, and floor coal thickness exert dominant control over the rockburst risk in coal mines. Using the ZF1420 working face of the Yadian coal mine in Shaanxi as a case study, the risk evaluation results align with the actual conditions. The study also proposes classification-based prevention and control measures for rockbursts. The research provides theoretical and methodological support for the evaluation and prevention of rockburst risks.</p>