Abstract
As a promising IoT application, the rural leisure tourism industry can promote the reconstruction of industrial structure in rural areas and realize a sustainable, rapid, and healthy development of rural economy. This paper takes the rural leisure tourism industry in China as an example and aims at building an intelligent and integrated modern IoT use case. Based on the traditional rural leisure tourism, we improve the system by adding the data analysis over a mobile cloud IoT computing platform. In particular, this work investigates the characteristics of the national tourism market under the security requirements from governmental cloud data management policy. Our study shows that the geographical concentration index G of tourists in the Chinese market continues to increase. With the booming of IoT applications in rural leisure tourism, intelligent and integrated tourism guidance and optimized decision-making will provide tourists with better information and thus make rapid improvement of geographical concentration index.
Highlights
Modern rural leisure tourism is a new type of industry that uses agricultural production and rural ecological processes to provide consumers with entertainment, sightseeing, and experience services
We take the Chinese rural leisure tourism industry as the analysis object, introduce the tourism market based on cloud computing, and analyze foreign tourism data to enhance the diversity of rural culture
Further statistics show that the overall development potential of rural tourism in the region is relatively low and the difference is obvious, among which 59.09% of the counties and districts have lower development potential than the average
Summary
Modern rural leisure tourism is a new type of industry that uses agricultural production and rural ecological processes to provide consumers with entertainment, sightseeing, and experience services. The development of modern rural leisure tourism can provoke the readjustment of rural industrial structures This is a powerful measure to achieve sustained, rapid, and healthy development of the rural economy. Various tourism data in different tourist areas should be safely collected, transmitted, and intelligently processed for overall decision-making and optimization analysis. We use cloud computing and machine learning to intelligently analyze and optimize tourism data and obtain the best decision-making results overall. We take the Chinese rural leisure tourism industry as the analysis object, introduce the tourism market based on cloud computing, and analyze foreign tourism data to enhance the diversity of rural culture.
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