自然资源学报

自然资源学报 ›› 2021, Vol. 36 ›› Issue (7): 1811-1824.doi: 10.31497/zrzyxb.20210713

• “中国红色旅游资源创新开发”专栏 • 上一篇    下一篇

长征国家文化公园红色旅游资源网络关注度及其旅游流网络结构分析

李磊1(), 陶卓民1(), 赖志城1, 李涛1, 琚胜利2   

  1. 1.南京师范大学地理科学学院/江苏省地理信息资源开发与利用协同创新中心,南京 210023
    2.江苏经贸职业技术学院文化旅游学院,南京 210007
  • 收稿日期:2021-02-05 修回日期:2021-04-24 出版日期:2021-07-28 发布日期:2021-09-28
  • 通讯作者: 陶卓民（1963-）,男,江苏苏州人,博士,教授,博士生导师,研究方向为旅游地理、旅游规划与乡村旅游。E-mail: 09059@njnu.edu.cn
  • 作者简介:李磊（1993-）,男,河南罗山人,博士研究生,研究方向为旅游地理与旅游规划。E-mail: tourismlilei@163.com
  • 基金资助:
    国家自然科学基金项目(42001155);江苏省高校优势学科建设工程资助项目(164320H116);江苏省高校哲学社会科学优秀创新团队(乡村旅游发展研究团队);江苏省高校“青蓝工程”优秀教学团队(旅游管理团队)

Analysis of the Internet attention and tourism flow network structure of red tourism resources in Long March National Cultural Park

LI Lei1(), TAO Zhuo-min1(), LAI Zhi-cheng1, LI Tao1, JU Sheng-li2   

  1. 1. School of Geography Science, Nanjing Normal University/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    2. College of Cultural and Tourism, Jiangsu Vocational Institute of Commerce, Nanjing 211168, China
  • Received:2021-02-05 Revised:2021-04-24 Online:2021-07-28 Published:2021-09-28

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摘要：

长征国家文化公园建设面临着的现实需求和复杂问题,迫切要求开展相应的系统性研究工作。以长征国家文化公园内154处重点红色旅游资源为研究对象,基于“虚拟”与“现实”相结合的视角,使用GIS、Gephi等研究方法,对其网络关注度和旅游流网络结构进行分析。研究表明：（1）红色旅游资源网络关注度普遍偏低、差异明显,5A级景区和重要人物是最受网络用户关注的资源类型;（2）旅游流网络结构松散、小世界效应显著,在湖南、贵州、陕西省内分别形成了“△”“网状”“双核”结构模式;（3）网络关注度与旅游流网络具有关联性和差异性,据此识别了湘中、黔川、陕北等重点红色旅游区,以及川陕、闽赣等红色旅游发展潜力区。基于以上分析,长征国家文化公园建设应以重点红色旅游资源为基础,实施分类施策、分段开发、扬长补短的发展策略。围绕高高、高低、低高、低低四种不同类型资源制定相应的发展策略,并结合不同区域的发展情况分别采取“节点”“斑块”“廊道”相结合的发展模式。

关键词: 红色旅游, 长征国家文化公园, 旅游资源, 网络关注度, 旅游流网络, 发展模式, 长征

Abstract:

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.

Key words: red tourism, Long March National Cultural Park, tourism resources, Internet attention, tourism flow network, development model, Long March