Quantitative Analysis of Smart Tourism in the Dabie Mountains Based on Grey Relational Degree

Objective To address the development of smart tourism in the Dabie Mountains. Methods First, collected data on the total tourism revenue and other related statistics from 2007 to 2024, categorized the data into two-tier indicators, and established an indicator system influencing the smart tourism revenue in the Dabie Mountains. Second, employed the grey correlation method to identify key factors affecting tourism revenue through heat maps. Third, utilized the grey prediction GM (1,1) model to forecast and analyze the total tourism revenue in the Dabie Mountains. Results The primary influencing factors include information services, transportation passenger services, and economic support, along with a projected trend curve for total revenue. Conclusion The study concludes that leveraging the local tourism characteristics of the Dabie Mountains, countermeasures to enhance smart tourism are proposed, including strategic advancement, empowering industrial transformation, constructing transportation network routes, improving fund utilization efficiency, utilizing artificial intelligence to elevate the quality and capacity of smart tourism, and promoting further development of the tourism industry.