Travelling with Dogs: Modelling Tourist Profiles through Attitudes and Behaviours

Dogs influence holiday planning when families travel with their pets and directly impact the services they consume at destinations. This research aims to determine the relationship between the attitudes and behaviours expressed by tourists who own dogs and 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 dog owners' 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.

Authors

Institutions

Publication Details

Journal
Tourism & Management Studies
Published
2025-03-10
DOI
https://doi.org/10.18089/tms.20250209
Primary Topic
Human-Animal Interaction Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Travelling with Dogs: Modelling Tourist Profiles through Attitudes and Behaviours

Salvador Moral Cuadra, Tomás López‐Guzmán, Miguel Ángel Solano‐Sánchez, Minerva Aguilar-Rivero
Tourism & Management Studies
Human-Animal Interaction Studies
article

Travelling with Dogs: Modelling Tourist Profiles through Attitudes and Behaviours

Salvador Moral Cuadra, Tomás López‐Guzmán, Miguel Ángel Solano‐Sánchez, Minerva Aguilar-Rivero
article en

Abstract

Dogs influence holiday planning when families travel with their pets and directly impact the services they consume at destinations. This research aims to determine the relationship between the attitudes and behaviours expressed by tourists who own dogs and 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 dog owners' 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.

Tourism & Management StudiesVol. 21(2)
University of Córdoba (ES)
Decent work and economic growth
Openalex Percentile: Top 79%
Human-Animal Interaction Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Travelling with Dogs: Modelling Tourist Profiles through Attitudes and Behaviours — Salvador Moral Cuadra, Tomás López‐Guzmán, et al. · Tourism & Management Studies (2025) | TGRS Research Map | TGRS