Abstract: The analysis of the spatial-temporal characteristics of the influencing factors of tourism ecological security in the Yangtze River Economic Belt (YREB) can provide useful reference for the high-quality development in the region. The DPSIR model was used to construct the city-scale tourism ecological security evaluation index system of the YREB. The spatial-temporal characteristics of the tourism ecological security were explored from 2010 to 2020. The GTWR model was used to analyze the influencing factors of tourism ecological security. The findings were as follows: (1) In terms of temporal changes, the level of tourism ecological security showed an approximate “W” type evolution trend, the overall level of tourism ecological security was rising, and the risk level gradually changed from risky level to sensitive level and critical level. (2) In terms of spatial pattern, tourism ecological security presented significant spatial heterogeneity, showing the spatial features of “agglomeration in low-value areas and discrete distribution in high-value areas”, and the “core-edge”decreasing effect was obvious; The spatial agglomeration of tourism ecological security level in cities was weak, the agglomeration in the downstream area was higher than that in the upstream area. The number of “low-low” agglomeration areas was on the rise, and the number of “high-high” agglomeration areas was on the decline. (3) From the perspective of impact degree, GDP growth rate and per capita disposable income had a significant positive impact on tourism ecological security, while per capita tourism income, green space and education expenditure had a small impact on the proportion of general public budget; The spatial heterogeneity of influencing factors was significant. The influencing coefficient of GDP growth rate and per capita disposable income showed a distribution pattern of “high in the west and low in the east”. The influencing coefficient of population density showed a trend of gradual decline from east to west, and the influencing coefficient of the proportion of education expenditure in the general public budget showed a negative gradient pattern of “weak in the east and strong in the west”.