As the importance given by tourists to the different aspects of gastronomic tourism depends on their profiles, this research aims to determine the relationship between the social characteristics of these culinary tourists (such as gender, age, income, and educational level) and the relevance attributed by them to several opinions and attitudes related to gastronomic tourism. This research is based on field work through surveys filled in by culinary tourists with questions about perceptions and thoughts regarding gastronomic tourism both in general and in the particular case of Córdoba, a World Heritage Site in Southern Spain. Using artificial intelligence techniques as the Multilayer Perceptron, an artificial neural network is developed to estimate a ‘tourist profile’ based on inputs which are the pre-determined replies to the questionnaire. This technique is rarely used in surveys, especially in tourism sector. The model developed can assess the variations produced along the item valuation in every characteristic of the tourist profile. Thus, an increase in age implies more appreciation for dishes variety, its tasting at destination and willingness to return. Findings presented can be useful for professionals and entrepreneurs dedicated to culinary experiences and for public institutions which aim to promote gastronomic tourism at destination.

The inclusion on the lists published by the United Nations Educational, Scientific, and Cultural Organization (UNESCO)—World Heritage Site (WHS), Intangible Cultural Heritage (ICH), and World Heritage Sites in Danger—suggests, first of all, the acknowledgement of something worth protecting and, secondly, an increase in the strength of tourist attraction to the affected destination, especially among specific visitors. The identification and classification of tourists that are seen to be more interested in heritage is the stated aim of this work, based on models already proposed in the scientific literature. For this purpose, a survey was conducted that interviewed a representative sample of international tourists visiting the city of Córdoba. A multi-variant technique of case-cluster was applied. In addition, a discriminant analysis was used to validate the clusters of the cases obtained. For analyzing the differences between the different groups obtained, some non-parametrical statistical procedures were applied. The results obtained allowed for the visualization of a model that shows the empirical evidence regarding the presence of four types of foreign tourists that are considered valid for segmentation in the city of Córdoba as a WHS tourist destination: the alternative tourist, emotional tourist, cultural tourist, and heritage tourist. These results allow public and private managers to design specific strategies to increase visitor satisfaction.

Peer-to-peer tourism is one of the great global trends that is transforming the tourism sector, introducing several changes in many aspects of tourism, such as the way of travelling, staying or living the experience in the destination. This research aims to determine the relationship between the sociodemographic characteristics of tourists interested in peer-to-peer accommodation and the importance they give to various motivational factors about this type of tourism in a “cultural-tourism” city. The methodology used in this research is an artificial neural network of the multilayer perceptron type to estimate a sociodemographic profile of the peer-to-peer accommodation tourist user based on predetermined input values consisting of the answers to the Likert-type questions previously carried out using a questionnaire. Thus, the model developed, through a customized set of answers to these questions, allows the presentation of a “composite picture” of a peer-to-peer tourist based on sociodemographic characteristics. This function is especially interesting for adapting the peer-to-peer hosting offer according to the preferences of potential users.

Actualmente, la gastronomía se muestra como un componente fundamental para los turistas en el descubrimiento de la herencia cultural del lugar. Ello implica que los placeres culinarios se conviertan en motivaciones determinantes en la elección del destino, y, al mismo tiempo, se manifiesten como un factor explicativo esencial de la satisfacción que experimenten los turistas. El objetivo de este trabajo es analizar las experiencias que, en el ámbito de la gastronomía, tienen los visitantes extranjeros en una ciudad Patrimonio de la Humanidad, como es el caso de la ciudad de Córdoba. Los resultados obtenidos permiten, en base a las percepciones sobre las experiencias gastronómicas en la ciudad, clasificar a los turistas en tres grupos que se han denominado supervivientes, disfrutadores y experimentadores. Los resultados sugieren que la experiencia gastronómica del turista extranjero varía en función de la actitud del visitante hacia la gastronomía en los viajes.

The tourism sector in general and the hotel sector in particular face the challenge of managing appropriate security measures to deal with the COVID-19 pandemic. In this sense, it is useful to know which measures are most demanded by the clientele. This research, through non-parametric statistics tests, concluded that women are more demanding than men in relation to the security measures to be taken in hotels. More specifically, this research concludes that women are more demanding than men in relation to a set of measures including ensuring good hygiene conditions, the use of disinfectants, the existence of health and information checks, adapting the establishment to WHO recommendations, obtaining quality certification, measuring temperature, the need to provide information on protocols and measures, and the elimination of physical contact between people. This, as a practical application, makes it possible to know more accurately about the safety requirements of sex-segmented customers in the face of future health crises, allowing tourist managers to offer safer destinations and the hotel sector better health conditions for their clients.