The impacts of COVID-19 are massive. Global tourism is one of the industries that is heavily affected. “Travel bubble”, a recent term initiated by travel operators, is a programme that allows tourists to travel to countries nearby without quarantine requirements. This study investigates the relationship amongst fear of COVID-19, travel anxiety, risk attitude and travel intention towards “travel bubble” destinations. Results show that fear of COVID-19, travel anxiety and risk attitude negatively impact travel intention. Furthermore, travel anxiety and risk attitude moderate the indirect impacts between fear of COVID-19 and travel intention. Future research and implications of practices are presented.

Tourism companies have been actively using social media to engage customers, enhance company–customer relationships, and boost business. Researchers are keen to uncover the mechanism by which social media might influence brand identification and customer citizenship behaviour, and factors that might moderate this process. The current study examined the antecedents and consequences of customers’ parasocial interactions with tourism companies’ social media spokespersons. Results of a questionnaire survey suggested that perceived similarity and value congruence between customers and the social media spokesperson induced more parasocial interaction, which in turn increased brand identification and customer citizenship behaviour. In addition, the effect of parasocial interaction on brand identification was stronger in the context of high spokesperson-brand congruence. Implications for improving social media marketing are discussed.

With the approach of the Beijing Winter Olympics in 2022, the ski tourism market in mainland China is gradually heating up. As an important node city of the Silk Road Economic Belt, Urumqi is vigorously developing winter tourism to enhance its image as an urban tourism spot. In this study, visitors to the Urumqi Silk Road International Ski Resort during the winter were taken as the research object, and a quantitative study was carried out using a questionnaire survey. 278 questionnaires were recovered. A model of tourism motivation, satisfaction and revisit intention based on the push-pull factor was constructed, and the relationship among the three was verified by structural equation modelling. The research results can provide a theoretical basis and can reference suggestions for the development of ski tourism in destination cities and the strategic marketing of ski resorts.

This study introduces topic modelling into the analysis of theme park online reviews to determine visitor behaviour and experiences. An exploratory analysis involving major Disneyland theme parks is presented using a large-scale review data set. A comprehensive list of the topics discussed by visitors when visiting Disneyland theme parks is constructed. Insights into the interests and concerns of various visitor groups across theme parks are revealed. The proposed approach and findings are beneficial to support theme park managers in understanding visitors’ perception, through which effective marketing and improvement plans can be developed to attract and retain future customers.