Articles producció científica> Geografia

Profiling tourists' use of public transport through smart travel card data

  • Datos identificativos

    Identificador: imarina:7474105
  • Autores:

    Gutiérrez A
    Domènech A
    Zaragozí B
    Miravet D
  • Otros:

    Autor según el artículo: Gutiérrez A; Domènech A; Zaragozí B; Miravet D
    Departamento: Economia Geografia
    Autor/es de la URV: Gutiérrez Palomero, Aaron / Miravet Arnau, Daniel / Zaragozí Zaragozí, Benito Manuel
    Palabras clave: Travel behaviour Tourist profiles Tourism destination Smart card data Public transport Model-based clustering analysis
    Resumen: © 2020 Elsevier Ltd Data collected through smart travel cards in public transport networks have become a valuable source of information for transport geography studies. During the last two decades, a growing body of literature has used this sort of data source to study the behaviour of public transport users in cities and regions around the world. However, its use has been scarce in contexts where public transport demand is highly influenced by the activities of the tourist sector. Therefore, it remains to be seen whether these data can be leveraged to optimize the supply of public transport. In this article, data drawn from the Camp de Tarragona automated fare collection system extracted during 2018 are used to study tourists' use of public transport in Costa Daurada (Catalonia, Spain). This is a popular coastal destination with a high concentration of visitors during the summer period. The analysis focuses on the use of the T-10, a multipersonal transport fare with no time limitations on its use which makes it appealing for tourists. Model-based clustering has been applied to identify different clusters of passengers according to their activity and spatial profiles. Differences between profiles are significant and, as a result, this study allowed the validation of a method that could be replicated in other contexts, as it provides highly useful information for public transport policy and mobility management.
    Áreas temáticas: Transportation Planejamento urbano e regional / demografia Geography, planning and development Geography Geografia i urbanisme Geografía General environmental science Environmental science (miscellaneous) Environmental science (all) Engenharias iii Engenharias i Economics Economia Ciencias sociales Biodiversidade Arquitetura, urbanismo e design Administração pública e de empresas, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 09666923
    Direcció de correo del autor: daniel.miravet@urv.cat benito.zaragozi@urv.cat aaron.gutierrez@urv.cat
    Identificador del autor: 0000-0001-7830-5515 0000-0003-2501-484X 0000-0003-0557-6319
    Fecha de alta del registro: 2023-02-23
    Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0966692320302283?via%3Dihub
    Referencia al articulo segun fuente origial: Journal Of Transport Geography. 88 (102820):
    Referencia de l'ítem segons les normes APA: Gutiérrez A; Domènech A; Zaragozí B; Miravet D (2020). Profiling tourists' use of public transport through smart travel card data. Journal Of Transport Geography, 88(102820), -. DOI: 10.1016/j.jtrangeo.2020.102820
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1016/j.jtrangeo.2020.102820
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Economics,Environmental Science (Miscellaneous),Geography,Geography, Planning and Development,Transportation
    Travel behaviour
    Tourist profiles
    Tourism destination
    Smart card data
    Public transport
    Model-based clustering analysis
    Transportation
    Planejamento urbano e regional / demografia
    Geography, planning and development
    Geography
    Geografia i urbanisme
    Geografía
    General environmental science
    Environmental science (miscellaneous)
    Environmental science (all)
    Engenharias iii
    Engenharias i
    Economics
    Economia
    Ciencias sociales
    Biodiversidade
    Arquitetura, urbanismo e design
    Administração pública e de empresas, ciências contábeis e turismo
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