Study on the coordinated development of national traditional sports and tourism brands based on big data platforms from the perspective of "The Belt and Road".

This article focuses on the integration of artificial intelligence (AI), big data, wireless networks, and the Internet of Things (IoT) to enhance tourism development and brand management along the Belt and Road (B&R) initiative. It analyzes tourist-generated content to understand consumer perceptions of scenic spots and proposes a Named Entity Recognition (NER) method based on a graph convolutional neural network (GCNN) to improve the identification and promotion of sports-themed tourism brands. The study demonstrates that this AI-driven approach achieves higher accuracy, recall, and F1 scores compared to traditional models, supporting smarter sports tourism branding and image management. The findings suggest that leveraging these technologies can foster coordinated development of tourism and sports industries, promote cultural exchange, and enhance visitor experiences in B&R regions.