Articles producció científica> Geografia

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

  • Dades identificatives

    Identificador: imarina:9173259
    Autors:
    Zaragozi, BenitoTrilles, SergioGutierrez, Aaron
    Resum:
    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.
  • Altres:

    Autor segons l'article: Zaragozi, Benito; Trilles, Sergio; Gutierrez, Aaron;
    Departament: Geografia
    Autor/s de la URV: Gutiérrez Palomero, Aaron / Zaragozí Zaragozí, Benito Manuel
    Paraules clau: Urban mobilities Tourism seasonality Tourism mobilities Passive mobile data Data visualisation
    Resum: 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.
    Grup de recerca: GRATET. Anàlisi Territorial i Estudis Turístics
    Àrees temàtiques: 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
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: aaron.gutierrez@urv.cat benito.zaragozi@urv.cat
    Identificador de l'autor: 0000-0003-0557-6319 0000-0003-2501-484X
    Data d'alta del registre: 2024-07-27
    Volum de revista: 10
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.mdpi.com/2220-9964/10/2/98
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Isprs International Journal Of Geo-Information. 10 (2):
    Referència 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 de l'article: 10.3390/ijgi10020098
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    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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