Articles producció científica> Geografia

Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination

  • Datos identificativos

    Identificador: imarina:9173259
    Autores:
    Zaragozi, BenitoTrilles, SergioGutierrez, Aaron
    Resumen:
    The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days-two on summer days and two in winter-was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns.
  • Otros:

    Autor según el artículo: Zaragozi, Benito; Trilles, Sergio; Gutierrez, Aaron;
    Departamento: Geografia
    Autor/es de la URV: Gutiérrez Palomero, Aaron / Zaragozí Zaragozí, Benito Manuel
    Palabras clave: Urban mobilities Tourism seasonality Tourism mobilities Passive mobile data Data visualisation
    Resumen: The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days-two on summer days and two in winter-was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns.
    Grupo de investigación: GRATET. Anàlisi Territorial i Estudis Turístics
    Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Remote sensing Medicina veterinaria Geography, planning and development Geography, physical Geografía Geociências Engenharias i Earth and planetary sciences (miscellaneous) Computers in earth sciences Computer science, information systems Ciencias sociales Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: aaron.gutierrez@urv.cat benito.zaragozi@urv.cat
    Identificador del autor: 0000-0003-0557-6319 0000-0003-2501-484X
    Fecha de alta del registro: 2024-07-27
    Volumen de revista: 10
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2220-9964/10/2/98
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Isprs International Journal Of Geo-Information. 10 (2):
    Referencia de l'ítem segons les normes APA: Zaragozi, Benito; Trilles, Sergio; Gutierrez, Aaron; (2021). Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination. Isprs International Journal Of Geo-Information, 10(2), -. DOI: 10.3390/ijgi10020098
    DOI del artículo: 10.3390/ijgi10020098
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science, Information Systems,Computers in Earth Sciences,Earth and Planetary Sciences (Miscellaneous),Geography, Physical,Geography, Planning and Development,Remote Sensing
    Urban mobilities
    Tourism seasonality
    Tourism mobilities
    Passive mobile data
    Data visualisation
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Remote sensing
    Medicina veterinaria
    Geography, planning and development
    Geography, physical
    Geografía
    Geociências
    Engenharias i
    Earth and planetary sciences (miscellaneous)
    Computers in earth sciences
    Computer science, information systems
    Ciencias sociales
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
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