地理科学进展 ›› 2022, Vol. 41 ›› Issue (8): 1349-1363.doi: 10.18306/dlkxjz.2022.08.001

• 研究论文 •    下一篇

中国省际虚拟旅游流网络结构的空间演变特征研究

杨勇(), 眭霞芸(), 刘震   

  1. 华东师范大学工商管理学院,上海 200062
  • 收稿日期:2021-12-01 修回日期:2022-02-24 出版日期:2022-08-28 发布日期:2022-10-25
  • 通讯作者: * 眭霞芸(1998— ),女,江苏丹阳人,硕士生,研究方向为旅游地理。E-mail: sui_xiayun@163.com
  • 作者简介:杨勇(1974— ),男,山东东平人,教授,博士生导师,研究方向为旅游经济学。E-mail: yyang@tour.ecnu.edu.cn
  • 基金资助:
    国家社会科学基金项目(18BGL144)

Spatial pattern change of the network structure of China's inter-provincial virtual tourism flow

YANG Yong(), SUI Xiayun(), LIU Zhen   

  1. School of Business Administration, East China Normal University, Shanghai 200062, China
  • Received:2021-12-01 Revised:2022-02-24 Online:2022-08-28 Published:2022-10-25
  • Supported by:
    National Social Science Foundation of China(18BGL144)

摘要:

虚拟旅游流一定程度上表征了游客需求的地理指向,是分析中国旅游业空间发展格局、推动国内大循环格局形成的重要突破点。论文利用2016—2020年百度指数搜索数据,基于虚拟旅游流流向视角,构建虚拟旅游吸引力与出游潜力指标,结合空间分析工具剖析其空间分布状况;通过虚拟旅游优势度与关联性分析各节点的作用与地位,系统考察虚拟旅游流网络结构的空间演变特征。研究发现:① 从虚拟旅游流空间结构来看,北京、上海及云南为中心地区,三地向外辐射,形成了以京津冀、长三角、云贵川渝地区为核心的虚拟空间结构。② 从虚拟旅游流的极化与扩散效应来看,长三角地区扩散效应显著,而京津冀及其以南地区和云贵川渝地区极化效应显著。其中,京津冀及其以南地区由双核结构转为单核结构;云贵川渝地区内外部联系不断增强,形成了多核心、多层级的强区域内循环结构。③ 基于虚拟旅游流网络结构演变特征分析发现,区域内部循环流动是促进区域内外部旅游均衡发展的有效途径。④ 经济发展水平、旅游资源禀赋、基础设施建设及时空邻近性等是影响虚拟旅游流网络结构演变的重要因素。

关键词: 虚拟旅游流, 网络结构, 时空分析, 旅游吸引力, 出游潜力

Abstract:

Virtual tourism flow (VTF) to some extent represents geographic biases of tourist demands. It is a crucial entry point for analyzing the spatial structure of China's tourism and promoting the formation of domestic circulation. From the perspective of VTF, this study built models of virtual tourism attraction and latent emissiveness using Baidu index search data from 2016 to 2020. Coefficient of variation and spatial autocorrelation were employed to analyze its spatial distribution characteristics. Virtual tourism dominance degree and correlation of each provincial node were analyzed to further investigate the characteristics of the spatial change of VTF network structure. The results show that: 1) Beijing, Shanghai, and Yunnan are the radiating centers in the spatial structure of China's VTF. Based on this, a virtual spatial structure with the core of the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, and the Yunnan-Guizhou-Sichuan-Chongqing region is formed. 2) The polarization and diffusion features of VTF are manifested in the obvious diffusion effect of the Yangtze River Delta, and the significant polarization effect of the Beijing-Tianjin-Hebei region and areas to its south and the Yunnan-Guizhou-Sichuan-Chongqing region. Among them, the Beijing-Tianjin-Hebei region and areas to its south has changed from a dual core to a single core structure, while the Yunnan-Guizhou-Sichuan-Chongqing region has formed a robust regional circulation structure with multiple cores and multiple levels due to the region's continuously strengthened internal and external ties. 3) According to the spatial change of VTF network structure, intra-regional circulation is an effective way to balance the development of tourism within and outside a region. Meanwhile, provinces with strong virtual tourism advantage degree have stronger resilience, which can well boost the circulation of inter-regional tourism flow. 4) The change of VTF network structure is mainly affected by economic development level, tourism resource endowment, infrastructure development, and temporal and spatial proximity. This study broadens the horizon of tourism flow research by introducing the concept of VTF and analyzing both virtual tourism attraction and latent emissiveness. Its results provide a reference for the geographic direction of tourist demands, which can help to promote the coordinated regional development of tourism.

Key words: virtual tourism flow, network structure, spatiotemporal analysis, tourism attraction, latent emissiveness