Rural tourism (RT) and cloud computing are important forces in implementing the rural revitalization strategy, and they play a key role in accelerating agriculture and rural area modernization, urban-rural integration, poverty alleviation in impoverished areas, and so on. RT’s development is influenced by a variety of factors due to its high industrial relevance and strong driving function. The development of RT is examined from the perspectives of data mining and cloud computing in this paper, and a data mining model of the RT development’s driving mechanism is built. Five driving modes of RT development are simulated by adjusting the parameters of industrial economy, resources, environment, and social culture in H city as an example. The simulation results are compared and analyzed in various modes. Finally, the coordinated development model of industrial economy, social culture, resources, and environment is found to be the best model of RT development in H city, and countermeasures and suggestions for RT development in H city are proposed based on the analysis results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.