Comparing spatial and content analysis of residents and tourists using Geotagged Social Media Data. The Historic Neighbourhood of Alfama (Lisbon), a case study

  1. Claudia Yubero 1
  2. Ana Margarida Condeço-Melhorado 1
  3. María García-Hernández 1
  4. Ana Catarina Fontes 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revista:
Investigaciones Turísticas

ISSN: 2174-5609

Año de publicación: 2021

Número: 22

Páginas: 95-120

Tipo: Artículo

DOI: 10.14198/INTURI2021.22.5 DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Investigaciones Turísticas

Resumen

Los flujos de turismo hacia las grandes ciudades han aumentado drásticamente en los últimos años. En Lisboa, el distrito de Alfama está experimentando un cambio funcional debido a los nuevos patrones turísticos y a la intensificación de su uso turístico. La creciente complejidad de la planificación urbana requiere fuentes de datos en tiempo real que puedan representar la temporalidad de los flujos turísticos. En este contexto, nuestra pregunta de investigación es ¿en qué medida el uso de nuevas fuentes de datos aporta nueva información sobre el uso del espacio para el ocio y el turismo, ya sea por residentes o turistas? El método de investigación se basa en un análisis de dos años de tweets georreferenciados, diferenciando entre usuarios turísticos y usuarios residentes en Lisboa. Un análisis de distribución espacial y un análisis de contenido han revelado no solo patrones de actividad espacio-temporales sino también respuestas emocionales a las nuevas tendencias en el uso del turismo urbano, el consumo y la percepción de la presión del turismo en Alfama. Los resultados proporcionan información importante para la planificación turística y urbana sostenible.

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