Abstract: To identify potential risks in the safety monitoring of railway passenger transport place and conduct research on group emotion analysis, this paper proposed an emergency decision-making analysis method based on intelligent computing of group emotional atmosphere in passenger transport place. The paper constructed a computing and analysis model for the emotional atmosphere of passenger groups in passenger transportation place. The model consisted of two parts: a quantitative model for the emotional atmosphere of the group and an analysis model for the emotional atmosphere of the group. Based on the above model, it was implemented risk level estimation of emergencies and corresponding emergency response plans. Through experiment verification on the IEMOCAP dataset and self-made dataset, the results show that this method can effectively identify group emotional changes in multi person scenarios, provide technical support for safety management and emergency response in railway passenger transport place.