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In Mexico, wine tourism has become a relevant issue in the past 20 years. Research in this region is in a nascent stage and largely focused on the supply side. Nevertheless, consumer behavior research on wine tourists of the region is needed to improve the wine region positioning. Therefore, the purpose of this paper is to find out the predictors for revisit intention (RI) to the Valle de Guadalupe wine route.

The information was obtained by applying an exit poll survey to a sample of 422 wine tourists at the micro, small and medium wineries in Ensenada, Mexico. The spatial-temporal model was used to predict the wine tourist RI. Three dimensions were used: pre-visit, in situ experience and travel to/from. Multiple linear regressions were carried out to assess the relation between the three dimensions and RI.

The results obtained show that the pre-visit and in situ dimensions have an effect on RI to the wine route.

The generalization of the results may be limited due to fact that only the repeated visitors of the autumn season are included; therefore, it is not applicable to summer (high season of wine tourism) and first-time visitors.

The results provide implications for the owners of the micro, small and medium wineries seeking to improve the experience and increasing the tourist RI to the wine route.

The theoretical added value of this paper is its contribution to the body of knowledge about the wine tourism spatial-temporal model, evaluating the complete wine tourism experience to predict RI.

The purpose of this study is to find out the factors that influence dental travelers’ revisit intention (RI) to Tijuana, Mexico.

Based on the push and pull model, five constructs were included: quality service, price, supporting services, cultural proximity and quality information. The information was obtained by applying an online survey to a sample of 384 dental tourists in Tijuana, Mexico, who were repeat patients of a dental clinic in Tijuana after the COVID-19 pandemic. Exploratory factor analysis, average variance explained and composite reliability were conducted to ensure the validity of each construct. Multiple regression analysis was done to identify predictors of travelers’ RI.

The results obtained show that cultural proximity, quality service, price and supporting services influenced the travelers’ revisit behavior after the COVID-19 pandemic lockdowns.

This study contributes to the body of knowledge on travel behavior in dental tourism after the COVID-19 pandemic lockdowns, which has been scarcely studied. Also, RI was analyzed, focusing on repeated travelers to propose a model mainly for borders or frontiers where developed and developing countries co-exist and interact.