Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks

Abstract

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.

Sustainable Economic Development Education: The Use of Artificial Neural Networks for the Profile Estimation of Students from Developing Countries

“…These results have followed the trends observed in other studies [7,17,44]. Thus, the positive attitudes of students can determine their intentions and behaviours towards sustainable development [22][23][24][25][26][27][28][29][30][31][32][33].…”

“…According to Çimer and Aydin [33], the development of individuals' attitudes towards sustainability influences their intentions and sustainable behaviours. Therefore, individual sustainable attitudes affect the intention to participate in actions related to sustainable development [24][25][26][27][28][29][30][31][32][33][34]. A person with sustainable attitudes can help motivate one or more people to do so [35].…”

“…For this, an artificial neural network (ANN) is used that allows not only to quantify this degree of influence but also to obtain an estimation or "composite picture" of the student's profile according to the responses obtained on sustainable development. The application of ANNs in the estimation of sociodemographic profiles is recent and their presence is still scarce in the literature [26][27][28].…”

Segmentation of Foreign Tourists Based on Emotional Perception—The Case of Granada, Spain

“…There are other statistical procedures that could have been applied to the dataset, such as, for example, artificial neural networks, in order to estimate a certain socio-demographic tourist profile, along the line of Moral et al [86]. However, as the aim of this work was focused on the typologies of foreign tourists based on emotional perceptions, it was considered convenient to follow the methodology explained in the previous paragraphs.…”

Role of Artificial Neural Networks Techniques in Development of Market Intelligence: A Study of Sentiment Analysis of eWOM of a Women’s Clothing Company

“…Neural network techniques are also currently used for the product-need matching process, which provide a customized solution for the customers. For example, a study revealed that neural network techniques can be applied to provide customized offers to peer-to-peer tourists on the basis of sociodemographic characteristics [42].…”