湖北农业科学 ›› 2021, Vol. 60 ›› Issue (12): 165-171.doi: 10.14088/j.cnki.issn0439-8114.2021.12.032

• 经济·管理 • 上一篇    下一篇

基于数字足迹交互的武汉市旅游流网络结构研究

周婷, 向敬伟, 李江风   

  1. 中国地质大学(武汉)公共管理学院,武汉 430074
  • 收稿日期:2020-07-28 出版日期:2021-06-25 发布日期:2021-07-19
  • 通讯作者: 李江风(1957-),男,湖北武汉人,教授,博士,主要从事旅游规划、地质公园规划研究,(电话)13971012496(电子信箱)jfli0524@163.com。
  • 作者简介:周 婷(1995-),女,河北唐山人,在读硕士研究生,研究方向为旅游规划、地质公园规划,(电话)18633363868(电子信箱)369954654@qq.com。
  • 基金资助:
    国家自然科学基金项目(71804168); 国土资源评价与利用湖南省重点实验室开放课题(SYS-MT-201903)

Research on Wuhan's tourism flow network structure based on digital footprint interaction

ZHOU Ting, XIANG Jing-wei, LI Jiang-feng   

  1. College of Public Management, China University of Geosciences(Wuhan),Wuhan 430074,China
  • Received:2020-07-28 Online:2021-06-25 Published:2021-07-19

摘要: 借助数字足迹分析方法,利用点面交互的研究思路,对武汉市旅游流网络进行研究。结果表明,武汉市旅游数字足迹规律性较为显著,3—5月春夏季最为集中,旅行者平均停留时间为2.8 d;武汉市旅游流网络节点地理空间分布不均衡,部分节点带动尚不足以实现节点全面、协调发展;武汉市旅游流网络空间结构分层比较明显,核心区与边缘区之间联结度较低,整体网络密度偏低,区域内发展较不均衡。需进一步发挥重要节点和核心区域的作用,实现武汉市旅游流网络点面交互的协同发展。

关键词: 旅游数字足迹, 点面交互, 旅游流网络, 武汉市

Abstract: By means of the digital footprint analysis method and the research idea of point-plane interaction, the structure of Wuhan's tourism flow network was studied. The results showed that the regularity of Wuhan's tourism digital footprint was relatively conspicuous. Spring and summer were the peak tourist seasons, with the most concentrated period from March to May, and the average stay of 2.8 days. The geographical spatial distribution of nodes in Wuhan's tourism flow network was unbalanced, the driving effect of some nodes was not enough to realize comprehensive and coordinated development of nodes. The spatial structure of Wuhan's tourism flow network was stratified obviously. The connection between the core area and the edge area was low. The overall density of Wuhan's tourism flow network was low, and the development in the region was unbalanced. It was necessary to further play the role of important nodes and core regions to realize the coordinated development of point-plane interaction of Wuhan's tourism flow network.

Key words: tourism digital footprint, point-plane interaction, tourism flow network, Wuhan city

中图分类号: