Big Data Analysis and Optimization Strategy of Tourism Participation Behavior in Ethnic Communities

To accurately evaluate the current situation of ethnic community tourism participation in China, this paper analyzes the reasons for the low-level operation of ethnic community tourism participation system based on the advanced experience of big data embedded in tourism public service supply. We use system dynamics as a theoretical tool to summarize the influencing factors and main indicators of community tourism decision-making behavior. Combining with the information entropy model and AHP model, this paper finds out the important factors that cause the dilemma of ethnic community tourism participation through quantitative form. Finally, the paper analyzes the potential of ethnic community tourism participation through a specific case, and proves the effectiveness of the model through the experimental results, and puts forward the system optimization strategy from the perspective of new institutional economics, so as to provide a scientific path for the optimization of tourism participation behavior.