Travelling with Dogs: Modelling Tourist Profiles through Attitudes and Behaviours

• Autores: Salvador Moral Cuadra, Miguel Ángel Solano Sánchez, Minerva Aguilar Rivero, Tomás López‐Guzmán
• Localización: Tourism & Management Studies, ISSN-e 2182-8466, ISSN 2182-8458, Vol. 21, Nº 2, 2025, págs. 127-141
• Idioma: inglés
• DOI: 10.18089/tms.20250209
• Títulos paralelos:
  • Viajandocon perros: modelización de los perfiles de los turistas a través de actitudes y comportamientos
• Enlaces
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• Resumen
  • español

    Los perros influyenen la planificación de las vacaciones, e impactan directamente en los servicios que consumen en destino.Esta investigación tiene como objetivo determinar la relación entre actitudes y comportamientos expresados por los dueños de perros con este tipo de perfil de turista (nivel de estudios, renta, edad y género). Se emplean datos obtenidosa través de una encuesta con 21 preguntas tipo Likert sobre percepciones y pensamientos acerca del turismo de dueños de perros en España.Se desarrollauna red neuronal artificial para estimar un "perfil de turista"basado en las respuestas obtenidas de las preguntas tipo Likert. Este modelo también puede determinar las variaciones producidas a lo largo de la escala Likert para cada variable del perfil sociodemográfico. Dejar dormir a los perros en la misma habitación, alojamientos "dog-friendly"y motivaciones emocionales determinan el perfil del turista. Esto puede ayudar al destino y a las empresas turísticas a configurar mejor sus servicios a las necesidades de los dueños de perros viajeros

  • English

    Dogs influence holiday planning when families travel with their petsanddirectly impact the services they consume at destinations. This research aims to determine the relationship between the attitudes and behaviours expressed by tourists who own dogsand the sociodemographic characteristics of this type of tourists' profiles(e.g.educational level, income, age and gender). The data is based on a survey of 21 Likert questions about perceptions and thoughts regarding dogowners' tourism in Spain. An artificial neural network is developed to estimate a "tourist profile" based on inputs from the predetermined Likert scale replies to the questionnaire. This model can also assess the variations produced through the Likert scale questions in every characteristic of the tourist's profile. Key findings reveal that factors like allowing dogs to sleep in the same room, access to dog-friendly accommodations, and emotional motivations significantly shape tourist profiles. These insights can help destinations and tourism businesses better tailor their services to the needs of dog-owning travellers

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