Mining Flickr to Better Understand Tourist Behavior

Maria Giovanna Brandano, Ludovico Iovino, Daniele Mantegazzi

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    The aim of this chapter is to present an automated instrument collecting the enormous amount of information available online allowing urban planners, public administrations, tourism services suppliers, and researchers to easily understand the spatial and temporal distribution of tourist behaviors towards tourist attractions in a specific area. Geo-located photos provided by Flickr are used to identify points of interest (POIs). The developed application has been tested with data automatically retrieved and collected in L'Aquila province (Italy) during the years 2005-2018. Given the richness of information, these data are able to show how POIs changed over time and how tourists reacted to the 2009 earthquake. Results demonstrate the importance of using analytics and big data in tourism research. Moreover, by using the province of L'Aquila as pilot study, it emerges that tourist behaviors change over time and space, varying among different typologies of tourists: residents, domestic, and international visitors.
    Original languageEnglish
    Title of host publicationHandbook of Research on Advanced Research Methodologies for a Digital Society
    EditorsGabriella Punziano, Angela Delli Paoli
    PublisherIGI Global
    Number of pages22
    ISBN (Electronic)9781799884743
    ISBN (Print)9781799884736
    DOIs
    Publication statusPublished - 2022

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