Abstract: The well-being of residents in rural tourism destinations is crucial for the sustainable development and enhancement of tourism quality and efficiency. This study focuses on Wulong village in Langzhong city as a case study, constructing a conceptual model of the influence mechanism of residents’ well-being based on sociological theory and designing a measurement index system. Mathematical methods, such as measuring indices and models of well-being, are applied to analyze the status of residents’ well-being. The findings of this study indicate the following: (1) Perceived affluence, people's livelihood, self-worth, and future expectations are the dominant driving factors influencing residents' subjective well-being, while attribute characteristic variables serve as recessive linking factors.(2) Among the dominant driving factors, future expectations emerge as the most important, and residents' perception of well-being on the spiritual level resonates more strongly with subjective well-being than material factors. (3) The weights of each measurement item in the explicit driving factors align with the size of the measurement index. The differentiation coefficient score fluctuates significantly, indicating that social security, a good life, and social welfare driven by tourism have a noticeable impact on residents' subjective well-being. These factors have the largest influence and the highest degree of perceived differentiation change. (4) There exists a significant variation in the subjective well-being index among individual residents. On average, residents perceive a relatively high level of happiness. The frequency and proportion of surveyed residents falling within the fourth to fifth grade of the happiness level indicate a “happy” level, demonstrating the positive effect of tourism on residents. Overall, the happiness level of the entire village is classified as “very happy”. (5) Implicit correlation factors, including age, average monthly income, occupation, and residence time, significantly and positively affect residents’ subjective well-being, with age having the strongest influence. On the other hand, education level has a significant negative effect on residents' subjective well-being. It exerts a dominant or recessive conduction effect on well-being and impacts the cohesion of residents’ tourism emotions.