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”
Affiliations: [a]
School of Leisure and Health, Guilin Tourism University, Guilin, Guangxi, China
| [b]
School of Tourism Management, Guilin Tourism University, Guilin, Guangxi, China
Correspondence:
[*]
Corresponding author. Jing Xiao, School of Tourism Management, Guilin Tourism University, Guilin 541006, Guangxi, China. E-mail: [email protected].
Abstract: The Belt and Road (B&R) plan is put out within the framework of global economics and strategic growth. This study examines the written material of popular tourist sites along B&R and the tourism assets from the viewpoint of B&R, based on the wireless network and AI technology, and using a big data platform and the Internet of Things (IoT) User Generated Content (UGC) network structure. To manage tourist pictures from customers’ views, online travel notes are first utilized as examples. Next, tourism texts’ keywords are extracted using Python big data and AI technology to understand consumers’ perceptions of scenic spot preferences, tourism facilities and services, and social and cultural customs. The findings demonstrate that, when compared to the conventional tourism brand development strategy, the integrated development strategy based on the AI big data platform can not only increase the effectiveness of managing tourists’ perceptions of scenic locations but can also encourage the common development of national sports event components and intelligent tourism image management. Several sports tourist boutique picturesque locations have also been built along B&R following years of development of intelligent tourism and sports projects, which will strengthen the effect of multicultural exchanges.
Keywords: The Belt and Road, traditionalsports, tourism brand, big data, artificial intelligence
