%0 Journal Article %A Lei LI %A Zhuo-min TAO %A Zhi-cheng LAI %A Tao LI %A Sheng-li JU %T Analysis of the Internet attention and tourism flow network structure of red tourism resources in Long March National Cultural Park %D 2021 %R 10.31497/zrzyxb.20210713 %J JOURNAL OF NATURAL RESOURCES %P 1811-1824 %V 36 %N 7 %X

Constructing the Long March National Cultural Park in China is in real needs and great difficulty, therefore it is imperative to carry out corresponding systematic research. This paper takes 154 key red tourism resources in the Long March National Cultural Park as the research object. Based on the perspective of combining virtual and reality, we used GIS, Gephi, and other methods to analyze the Internet attention and tourism flow network structure of the key red tourism resources. The results show that: (1) The Internet attention degree of key red tourism resources is generally low, and there exist obvious differences in spatial distribution. 5A-level scenic spots and important figures are the resource types that aroused concern from Internet users. (2) The tourism flow network is loosely structured and has a significant "small world" effect. There are three typical models, namely, the "△" model in Hunan province, the "network" model in Guizhou province, and the "dual-nuclei" model in Shaanxi province. (3) The Internet attention degree and the tourism flow network have relevance and differences. The Central Hunan, Guizhou-Sichuan, and Northern Shaanxi are the red tourism core areas, and Sichuan-Shaanxi, and Fujian-Jiangxi has a great development potential of red tourism in the Long March National Cultural Park. Based on the above analysis, this study finds that the red tourism resources have great importance in the Long March National Cultural Park, and the Chinese government should take different development methods for the red tourism resources in different types and regions. Simultaneously, they need to make the corresponding development strategies for the four different types of tourism resources, and use the "nodes" + "patches" + "corridors" develop model in different regions.

%U https://www.jnr.ac.cn/EN/10.31497/zrzyxb.20210713