Tourism risk perception is proven to have significant influence on tourists’ decision-making behaviors, however, the impact of the place image depicted in the cultural media of destinations on it needs to be further studied. The study explores the mechanism of potential tourists’ risk perception in severe COVID-19 epidemics with the antecedent effects of the place image depicted in anti-epidemic music videos, and the impact of risk perception on potential tourists’ place attachment and travel intention, based on the risk perception theory. This study also explores the moderating effect of the visiting history on balancing risk perception, place attachment, and travel intention. With empirical research, the study result indicates that in severe epidemics: (1). The place image depicted in anti-epidemic music videos has a significant negative effect on tourism risk perception; tourism risk perception has a significant negative effect on potential tourists’ place attachment and travel intention; (2). The tourism risk perception mediates between the place image depicted in the music videos and potential tourists’ place attachment and travel intention; (3). Visiting history modulates the influence of tourism risk perception, potential tourists’ place attachment, and travel intention. This research would be helpful if it enriches the theoretical content of risk perception, expands the theoretical foundation of tourists’ decision making, promotes the application of music videos in tourism research, and proposes empirical risk management countermeasures of tourism destination.

Based on the tourism industry economic panel data, this research divides and measures the tourism industry’s economic resilience cycle in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by constructing a counterfactual function and exploring the evolution of its Spatial-Temporal difference characteristics in the past 20 years. Estimation results show that three out of the four Recession–Recovery cycles of GBA have been characterized as “creative destruction”. Moreover, the economic resilience values and fluctuation trends of the individual tourism industries in the GBA are quite different. Additionally, the economic resilience of the urban tourism industry has changed from centralized to discrete, and the trend of economic resilience of the tourism industry has changed from low toughness to concentrated. This study expands the practice of resilience theory in the tourism industry economy, and it reveals the difference of tourism industry resilience in the metropolitan area system of GBA urban agglomeration from the perspective of industrial economic resistance and resilience.