新冠疫情对旅游市场空间格局的影响——以长三角地区为例

The shift in tourism market preference and market structure adjustment caused by COVID-19 will reshape the spatial pattern of the tourism market. Based on the search data pointed out by Baidu, the spatial autocorrelation and social network analysis methods are applied to explore the evolution characteristics and patterns of the spatial and network structures of the tourism market under the influence of the COVID-19, using the Yangtze River Delta region as a case site. The results show that: ① under the influence of COVID-19, the spatial structure of the tourism market exhibits the characteristics of reduced overall agglomeration and less stable local structure. ② From January to October 2020, tourism market ties within the Yangtze River Delta region gradually strengthened, showing a pattern of gradual diffusion from provincial capitals to other cities and from proximity to distance. ③ Under the influence of COVID-19, the point-out and point-in degrees of most cities in the Yangtze River Delta are significantly reduced, and the diffusion and gathering functions for passenger flow are weakened. In addition, the growth rate of point-in degrees is significantly faster than point-out degrees, indicating that the gathering functions for passenger flow in most cities are more resilient under the influence of the epidemic. ④ Under the influence of COVID-19, the tourism market exhibits obvious proximity grouping characteristics with strong spatial dependence. This study can provide empirical evidence to fully understand the spatial evolution pattern of the tourism market under the influence of a mega public safety crisis and accelerate the recovery of the tourism economy.