Achieving resilient development is an important way for tourist attractions to cope with the negative impacts of major public health events, and an accurate assessment of the existing resilience level is the basis for improving the resilience of tourist attractions. Based on resilience theory, the impacts of major public health events on tourist attractions and the relationship between the impacts and the development resilience of the tourist attractions, this study uses the composite index method and DEMATEL method to construct an index system for evaluating the development resilience of tourist attractions. This evaluation index includes 20 indicators in the four dimensions of prevention ability, resistance ability, recovery ability and renewal ability, and the weight of each indicator was determined. The results show three important aspects of tourist attraction resilience. (1) Resistance ability is the most important dimension that reflects the resilience level of tourist attractions, followed by renewal ability and recovery ability, while prevention ability is relatively less important. (2) Tourism revenue reconstruction, mechanism innovation, marketing flexibility and financing ability have large positive correlations with the resilience level of tourist attractions. (3) Market flexibility, management decision-making level, financing ability and intelligent construction level are susceptible to other indicators, so that more attention should be paid to them in the process of improving the resilience level of tourist attractions. The index system developed in this study can provide scientifically valid guidance and a useful reference for tourist attractions to accurately examine their own issues and improve their development resilience.

Study travel has dual positive effects of education and tourism, and safety is the most concerning issue. In order to determine the resilience of study travel safety and carry out resilience construction in a targeted way, this paper constructs an evaluation index system of study travel safety resilience from four dimensions—that is, economy, society, infrastructure and ecological environment—combining factors such as earthquake prevention and disaster reduction, emergency recovery and learning improvement. It constructs a safety resilience evaluation model, using the entropy weight method and normal cloud model for data processing, and taking Dujiangyan City as an example to verify the effectiveness of the model. The results show that the comprehensive resilience level of study travel safety in Dujiangyan City is relatively high: its ecological and environmental security is at a high level of resilience, its economic and social security is also at a high level of resilience, and its infrastructure security is at a medium level of resilience. This study shows that the ecological environment system plays an important role in the security of research travel, but it is also necessary to strengthen the construction of infrastructure to enhance the diversity and safety of facilities.

Studying the vulnerability of rural settlements is necessary for their revitalization and sustainable development. In this study, a basic organizational framework and evaluation system that considers the natural environment, social development, and other factors in terms of exposure, sensitivity, and adaptability were developed for the vulnerability of rural settlements. Qixingguan District of Bijie City was considered as a case study, and a geographic information system spatial analysis function and geographic probe model were applied to determine the spatial distribution and characteristics of rural settlement vulnerability in karst mountains and their influencing factors. The results demonstrated that rural settlements here have a multicore distribution pattern where the vulnerability is moderately low overall but has significant spatial heterogeneity. There is a considerable positive spatial correlation between vulnerable rural settlements and weakly negative correlations between exposure and adaptability and between sensitivity and adaptability, which can be attributed to the interaction among natural, human-made, and social factors. The primary factors influencing the vulnerability of rural settlements here are stone desertification and soil erosion. These results have important theoretical and practical value for enhancing the stability of rural human-land systems in karst mountains and their long-term protection.

This study examined the relationship between perceived COVID-19 susceptibility, health risk perception, risk avoidance, and travel intentions, and explored the moderating role of government trust. The study data were collected through both Tencent Questionnaire (113) and field research (507) methods. The results showed that perceived susceptibility significantly influenced health risk perception and risk avoidance, which in turn significantly influenced travel intentions. Health risk perception and risk aversion partially mediated the effect of perceived susceptibility on travel intentions, respectively, and the chain mediation relationship between them was supported. Government trust had a significant moderating effect between perceived susceptibility affecting health risk perception, and health risk perception and travel intentions. This study provides new insights into the factors influencing tourists’ travel intentions in a global public health context and contributes to the recovery of the tourism economy and the development of marketing strategies for destinations in the post-pandemic era.