Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis

Abstract

In order to build a low-carbon and environmentally friendly cultural tourism business, this research analyzes data on user characteristics, tourist attractions, and functional qualities. The clustering technique is used to examine the clustering features of the industry development, and the spatial variation characteristics of the industry development are developed with the aid of the closest neighbor index, standard ellipse, and kernel density estimation methods. In order to analyze the degree of development of this industry, the integration degree model was constructed by the entropy weighting method. The analysis shows that the growth rate of the central and western regions is 32.2% and 28.8%, respectively, while the growth rate of the eastern region is 22.7%. The integration degree of the eastern region ranges from 0.12 to 0.85, the integration degree of the western region ranges from 0.18 to 0.9, and the integration degree of the central region ranges from 0.2 to 0.8. Based on this study, the integration development of the low-carbon environmental protection concept and the cultural tourism industry is thriving.

Keywords

• user profiling
• data mining
• entropy weighting method
• closest neighbor index
• cultural tourism
• 91-02