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1 September 2021 Research Methodology for Tourism Destination Resilience and Analysis of Its Spatiotemporal Dynamics in the Post-Epidemic Period
Feng Ling, Guo Jiaxin, Liu Yi
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As the COVID-19 pandemic continues to spread, the global tourism industry is facing enormous challenges. There is an urgent need to explore an effective path for tourism to recover and revitalize. With the normalization of the epidemic, tourism destinations will pay more attention to the prevention, warning, and coping strategies of the epidemic, and this focus will also be evident in the study of tourism destination resilience in the post-epidemic period. Some studies on the epidemic and the resilience of tourism are currently underway, but few of them are integrated with research on the resilience of tourism destinations in the post-epidemic period, although no systematic research ideas or methods have been found. Based on resilience theory, this paper summarizes the general research ideas and develops an epidemic resilience model suitable for urban tourism destinations. The present study also proposes a set of research methods based on the index system to analyze the resilience and its spatiotemporal dynamic characteristics of tourism destinations in the post-epidemic period. The methodology can be divided into three stages: Firstly, construct the conceptual model and evaluation system for tourism destination resilience; Secondly, select case sites for empirical analysis, measure the resilience of tourism destinations, and analyze the characteristics of spatiotemporal differences and subsequent factors of influence; And finally, establish an adaptive management mechanism for tourism destinations to use in response to the epidemic and in guiding the formulation of post-epidemic recovery policies.

Feng Ling, Guo Jiaxin, and Liu Yi "Research Methodology for Tourism Destination Resilience and Analysis of Its Spatiotemporal Dynamics in the Post-Epidemic Period," Journal of Resources and Ecology 12(5), 682-692, (1 September 2021).
Received: 6 September 2020; Accepted: 5 January 2021; Published: 1 September 2021

index system
spatiotemporal dynamics
tourism destination
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