Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 4, 2024


Pages


DOI

Article

Research on the Strategy of Sustainable Development of Leisure Sports and Rural Tourism Industry with the Help of Artificial Intelligence

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Authors

Yun Yang Affiliation:
Foshan Polytechnic, Foshan, Guangdong, 528137, China.


Abstract

At this stage, along with the rapid development of science and information technology, the era of artificial intelligence is gradually coming. This topic takes the travelogue text of leisure sports and rural tourism as the research object, uses the improved TF-IDF algorithm for keyword extraction, and analyzes tourists’ image perception of leisure sports and rural tourism. Then, we combine the tourists’ perceptions with the selection of relevant variables, set the fixed effect and moderating effect models, and use the OLS method to carry out regression analysis and heterogeneity analysis to verify the role of artificial intelligence in the development of leisure sports and rural tourism. The perception of tourist attractions (48.33%) and tourist facilities (20.87%) in leisure sports and rural tourism was the most impressive to tourists. It confirms that AI has a significant inverted “U”-shaped effect on the development of leisure sports and rural tourism. The development of leisure sports and rural tourism should conform to the new pattern of “AI+Sports Tourism”, highlight the “characteristics” of leisure sports and rural tourism, and let “AI+” become a “help” for the development of leisure sports and rural tourism. Let “Artificial Intelligence+” become a booster for the development of leisure sports and rural tourism.


Keywords

TF-IDF, Image perception, OLS method, Artificial intelligence, Rural tourism, 68T05


Citation

Yang, Y. (2024). Research on the strategy of sustainable development of leisure sports and rural tourism industry with the help of artificial intelligence. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2753

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