Resilience Pattern and Influencing Factors of Chongqing Tourist Attractions under the Impact of Crisis Events
Based on online review data,this paper measured the resilience level of Chongqing tourist attrac-tions during the COVID-19 epidemic from three aspects of resistance, resilience and adaptability. Multiple methods were comprehensively used to analyze the resilience pattern of tourist attractions. Geodetector was used to examine the influencing factors of the resilience of tourist attractions. Research has found that:(1)Tourist attractions in the peripheral areas of cities have the strongest resilience and are the biggest beneficiaries of the redistribution of tourist flow under the epidemic. The urban core area has the weakest resistance, but stronger adaptability. The overall re-silience of the intermediate transition area is not high, and it is most severely affected by the epidemic. (2) The spatial autocorrelation between resistance and resilience in tourist attractions is significant, and resistance positively affects the changes in resilience. The spatial interdependence of adaptability is weak, and tourist attractions may break free from the unfavorable regional locking situation in the early stage. ( 3 ) The resilience pattern of urban tourist attractions is influenced by resource factors, market factors, and location factors. The differences in the in-tensity of the impact factors at different stages of the crisis and the changes in their interactions have led to a differ-entiated resilience pattern.
crisis eventstourist attractionresilience patternsinfluencing factorsGeodetectorCOVID-19 pandemicChongqing City
NETL
NSTL
万方数据
