Abstract: Based on the panel data of six provinces and one city in East China, the carbon emissions of tourism transportation in various provinces and cities in East China are measured completely by using the "bottom-up" substitution coefficient method, and the time series and spatial evolution process are revealed completely. At the same time, the influence mechanism and influence heterogeneity of 10 driving factors on carbon emissions of tourism transportation are analyzed by using the two-level LMDI addition decomposition model. The research shows that the carbon emission of tourism traffic in East China from 2001 to 2021 can be roughly divided into the rapid growth stage in 2001-2012, the transformation and adjustment stage in 2013-2015, the steady development stage in 2016-2019 and the sharp decline stage in 2020-2021. The total carbon emission in East China is characterized by high in the north and low in the south, and Jiangsu is the largest carbon emission region in tourism transportation, reaching 359.7882 million tons, which is characterized by high in the middle and low in the north and south from the perspective of per capita carbon emission in tourism transportation. Tourism scale is the primary positive driving factor, and energy efficiency is the primary negative driving factor. The changing trend of the influence effects of the driving factors in the two stages also reveals the changing trend of the people's tourism objectives from single-center goals to multiple scattered points.