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To investigate the factors influencing the severity of tourism traffic accidents, this paper selected 3 861 tourism traffic safety accidents in China, based on the analysis of its spatialtemporal distribution characteristics, further examined the factors influencing the severity of tourism traffic accidents. An ordered multi-classified logistic regression model was employed to explore the contributing factors to the severity of tourist traffic safety accidents. The results show that: (1) From 2010 to 2019, the different severity levels of tourism traffic accidents in China show a fluctuating downward trend. (2) The severity levels of tourism traffic accidents display a heterogeneous distribution, with high-incidence areas mainly concentrated in Yunnan and Hunan provinces. (3) The five categories of factors, including personnel, vehicles, roads, management, and environment, are significantly correlated with the severity of tourism traffic accidents. The varying strength of their connection with different provincial domains is an important reason for the heterogeneous distribution of accident severity. The results help to reveal the characteristics and causes of tourism traffic safety accidents nationwide and provide a theoretical basis for improving tourism traffic safety management. [ABSTRACT FROM AUTHOR]