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Title:
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Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination
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Author:
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Valls, Aïda; Gibert, Karina; Orellana, Alícia; Antón-Clavé, Salvador
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
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Abstract:
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This paper studies why British tourists decide to travel to a particular destination in a Catalan region. The analysis is based on a survey that includes open-ended questions. First, we propose the operationalization of the concepts of motivation and meaning as push–pull factors when choosing a destination. Second, an ontology-based clustering method is presented, which makes it possible to analyse these qualitative factors from a semantic perspective to obtain tourist segments. A benchmark confirms that the segmentation obtained is better than that generated using classic clustering methods The results show that different meanings can be associated with any single place. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant
-Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
-Multivariate analysis
-Numerical analysis--Simulation methods
-Data mining
-Tourism motivations
-Destination meaning
-Ontologies
-Qualitative data tourism geography
-Anàlisi multivariable
-Anàlisi numèrica
-Classificació AMS::62 Statistics::62H Multivariate analysis
-Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations |
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Rights:
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Document type:
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Article - Submitted version
Article |
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