Abstract: Tourismification serves as a critical driver for promoting connotative urban development and continuously enhancing residents' well-being. Based on panel data from 108 cities in the Yangtze River Economic Belt from 2000 to 2023, this study constructs comprehensive evaluation systems for both tourismification and resident well-being. It clarifies their spatiotemporal evolution patterns and spatial correlation characteristics. Subsequently, a series of econometric models-including the fixed-effects model, panel quantile regression model, and spatial panel Durbin model-are employed to reveal the impact of tourismification on resident well-being and its spatial spillover effects. The main findings are as follows:(1) Both tourismification and resident well-being exhibit distinct "multi-polarization" and "gradient patterns," showing a significant positive spatial correlation. Notably, the strength of this correlation has followed an inverted-U-shaped trend over time. Local spatial associations are primarily manifested in four types: High-High (H-H) clusters are concentrated in downstream regions, while Low-Low (L-L) and Low-High (L-H) types are predominantly located in mid- and upstream areas. (2)Tourismification has a significant positive impact on resident well-being. Baseline regression results indicate that a 1% increase in tourismification level leads to an average increase of 0.34% in resident well-being, a conclusion that holds after a series of robustness checks. Panel quantile regression further reveals that the marginal promoting effect of tourismification is stronger in cities with already high levels of well-being.(3) The impact of tourismification on resident well-being involves spatial spillover effects, which demonstrate significant heterogeneity across regions and city types. Spatial heterogeneity analysis shows that the direct promoting effect of tourismification is more pronounced in upstream cities, downstream cities, and designated tourism cities. Regarding spatial spillovers, downstream regions and tourism cities exhibit significant positive spillovers, whereas mid-upstream regions and non-tourism cities show either insignificant or negative spillover effects.