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dc.contributor.authorGallego, Inmaculada
dc.contributor.authorFont aulet, Xavier
dc.date.accessioned2021-04-26T12:54:24Z
dc.date.available2021-04-26T12:54:24Z
dc.date.issued2020-06-05
dc.description.abstractThis paper develops a methodology for the early detection of reactivation of tourist markets to help mitigate the effects of the COVID-19 crisis, using Skyscanner data on air passenger searches (>5,000 million) and picks (>600 million), for flights between November 2018 and December 2020, through ForwardKeys. For future travel during the May to September 2020 period, the desire to travel (based on the number of flight searches) has dropped by about 30% in Europe and the Americas, and by about 50% in Asia, while intention to travel (the number of flight picks, the final selections amongst flight searches) has dropped a further 10–20%. Most source markets remain optimistic about air travel during the last quarter of 2020, suggesting a U shape recovery. However, optimism has dwindled as time passes, suggesting a flatline L shape. A traffic light dashboard for domestic and inbound air travel demand to Spain shows how destination managers might use Big Data relating to the early recovery of key source markets to develop targeted marketing strategies. We show how Big Data provides timely granular data essential in highly volatile situations, and we argue that destination management organisations must improve their Big Data analytical and evidence-based, decision-making skills.en_US
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Sustainable Tourism on 05.06.20, available online: https://doi.org/10.1080/09669582.2020.1773476.en_US
dc.identifier.citationGallego, Font aulet X. Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy. Journal of Sustainable Tourism. 2020en_US
dc.identifier.cristinIDFRIDAID 1814251
dc.identifier.doi10.1080/09669582.2020.1773476
dc.identifier.issn0966-9582
dc.identifier.issn1747-7646
dc.identifier.urihttps://hdl.handle.net/10037/21056
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.journalJournal of Sustainable Tourism
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright © 2021 Informa UK Limiteden_US
dc.subjectVDP::Social science: 200en_US
dc.subjectVDP::Samfunnsvitenskap: 200en_US
dc.titleChanges in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policyen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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