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

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 soc...

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Bibliographic Details
Published in:Journal of theoretical and applied electronic commerce research 2021, Vol.16 (4), p.1120-1135
Main Authors: Moral-Cuadra, Salvador, Solano-Sánchez, Miguel Ángel, López-Guzmán, Tomás, Menor-Campos, Antonio
Format: Article
Language:English
Subjects:
Accommodation
Altruism
Artificial neural networks
Attitudes
collaborative tourism
Electronic commerce
Literature reviews
Motivation
multilayer perceptron
Multilayer perceptrons
Neural networks
peer-to-peer accommodation
Questions
sharing economy
Social networks
Sociodemographics
Tourism
tourist profile
Travel
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Summary: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.
ISSN:0718-1876
0718-1876
DOI:10.3390/jtaer16040063