Unveiling astrotourists’ profiles. Activities, motivations, economic and social benefits and experiences
This research aims to determine the variations that occur in the socio-demographic profile (gender, age, educational level and income) of the visitor interested in astrotourism based on some questions about the activities they carry out related to astronomy, motivations, economic and social benefits...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Huelva (UHU) |
| Repositorio: | Arias Montano. Repositorio Institucional de la Universidad de Huelva |
| Idioma: | inglés |
| OAI Identifier: | oai:ariasmontano.uhu.es:10272/24254 |
| Acceso en línea: | https://hdl.handle.net/10272/24254 |
| Access Level: | acceso abierto |
| Palabra clave: | Astrotourism Astronomical Tourism Astrotourist Stars Artificial Neural Networks Multilayer Perceptron Perceptrón multicapa Astroturismo Turismo astronómico Astroturista Estrellas Redes neuronales artificiales 5312.90 Economía Sectorial: Turismo |
| Sumario: | This research aims to determine the variations that occur in the socio-demographic profile (gender, age, educational level and income) of the visitor interested in astrotourism based on some questions about the activities they carry out related to astronomy, motivations, economic and social benefits and the assessment of experiences about astrotourism through data gathered by a questionnaire. An artificial neural network is developed to generate potential “identikits” or estimated profiles of astrotourists based on the replies incorporated into the model and easily customisable by the researcher, which is especially useful in developing products and services adapted to astrotourism |
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