Studies of the segmentation of the tourism markets have traditionally been undertaken by regression methods. The need to have a significant number of segments and qualifying variables has led, however, to the use of other procedures of multivariate analysis. CHAID (Chi-square Automatic Interaction Detection), which is more complex than other multivariate techniques, has rarely been used. This study applies the traditional methods of multivariate analysis and CHAID to the same population of tourists visiting a particular destination to compare the quality of the information obtained on tourism market segmentation. The results suggest that the analysis based on CHAID matches the nature of the problem studied better than those provided by discriminant analysis

The analysis of seasonality and domestic tourism from the perspective of the accommodation sector has, to date, been unsatisfactorily studied in the domain of visitors to national parks. In light of the scale of accommodation development and its crucial role in tourism, most notably with regard to environmental impact, in-depth knowledge about accommodation market segments and their specific characteristics and patterns of behavior are integral to the development of tourism policy. In the context of domestic tourism, underpinned by an understanding of the theory of planned behavior and push-and-pull motivations, this study examines seasonality and accommodation type used by visitors to national parks in the small islands of the Canaries, Spain with the objective being to design the most appropriate environmental tourism policy. By adopting a Multinomial logistic regression model with 1671 surveys carried out, the study concludes that domestic visitors demonstrate a higher propensity to select environmental-friendly accommodation types during the high season. At the same time, residents who visit the parks in high season assess the lowest value to the preservation level of the parks’ natural resources.

This paper studies networking in rural tourism from a gender perspective comparing pre and post Covid period. The empirical study consisted of a questionnaire answered by 154 tourism promoters. Results showed a higher percentage of promoters belonging to an association during the Covid-19. There was a link between receiving training and belonging to an association and a significant relationship between participation in associations and receiving public funds, this relationship being found more among male promoters. On the other hand, a higher score was given by women for the advantages of networking, and mainly for the following: ‘Simplifies the management of booking’.

From a methodological perspective, the "mode effect," which refers to the phenomenon where different survey methods can yield different responses despite asking the same questions, presents a significant contemporary challenge. Existing solutions suggested in the literature, such as the implementation of multi-mode surveys, have their drawbacks as they may introduce bias that could impact respondent behavior. This study aims to identify distinct visitor segments within two large populations, assessing their patterns of visitation to both national and state parks. Additionally, we aim to evaluate the presence of the "mode effect" when concurrently conducting face-to-face and online surveys. The primary contribution of this research lies in confirming the persistence of the "mode effect," even when employing the same questionnaire for the same tourism product, during the same time frame, but among different populations. Furthermore, we propose various strategies to mitigate the "mode effect."