| Abstract |
This article starts from the perspective of low -carbon ecology and constructs a set of evaluation methods for the circular economy benefits of rural sports tourism based on AHP-BP neural network. This method comprehensively considers the economic, social, and environmental aspects of rural sports tourism industry. In this study, we combined the two main themes of low -carbon economy and ecological protection, and proposed the concept of rural sports tourism circular economy through literature analysis and case studies in relevant fields at home and abroad. We also raised several targeted issues around its development, such as resource utilization efficiency, energy conservation and emission reduction, and ecological protection. Then, we constructed an indicator system based on Analytic Hierarchy Process (AHP), incorporating economic, social, and environmental issues into different levels to determine their importance and weight. Next, we used the BP neural network model for data analysis and prediction, further exploring the economic and social benefits of rural sports tourism in different situations, and providing a quantitative evaluation of its impact on the environment. Finally, through field research and sample data analysis in relevant regions across the country, we have identified a specific quantitative implementation method for this method and conducted relevant experimental verification. The experimental results show that the evaluation results of this evaluation method are relatively accurate and reliable, and can provide scientific basis and decision -making support for the development of rural sports tourism. By achieving an organic combination of economic benefits and circular economy, and implementing ecological protection measures, the domestic rural sports tourism industry can be healthier and sustainably developed, thereby better serving society and promoting economic development. |