Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77544
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dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorVu, HQen_US
dc.creatorLi, Gen_US
dc.creatorLaw, Ren_US
dc.creatorZhang, Yen_US
dc.date.accessioned2018-08-28T01:33:07Z-
dc.date.available2018-08-28T01:33:07Z-
dc.identifier.issn0047-2875en_US
dc.identifier.urihttp://hdl.handle.net/10397/77544-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.rights© The Author(s) 2018 Reprints and permissions: sagepub.com/journalsPermissions.naven_US
dc.rightsThis is the accepted version of the publication Vu, H. Q., Li, G., Law, R., & Zhang, Y. Travel diaries analysis by sequential rule mining, Journal of Travel Research (vol. 57, no. 3), pp. 399-413. Copyright © 2018 (The Author(s) ). DOI: 10.1177/0047287517692446 which is published by Sage and is available at https://journals.sagepub.com/doi/10.1177/0047287517692446en_US
dc.subjectData miningen_US
dc.subjectFlickren_US
dc.subjectGeotagged photoen_US
dc.subjectSequential rule miningen_US
dc.subjectTravel diaryen_US
dc.titleTravel diaries analysis by sequential rule miningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage399en_US
dc.identifier.epage413en_US
dc.identifier.volume57en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1177/0047287517692446en_US
dcterms.abstractBecause of the inefficiency in analyzing the comprehensive travel data, tourism managers are facing the challenge of gaining insights into travelers’ behavior and preferences. In most cases, existing techniques are incapable of capturing the sequential patterns hidden in travel data. To address these issues, this article proposes to analyze the travelers’ behavior through geotagged photos and sequential rule mining. Travel diaries, constructed from the photo sequences, can capture comprehensive travel information, and then sequential patterns can be discovered to infer the potential destinations. The effectiveness of the proposed framework is demonstrated in a case study of Australian outbound tourism, using a data set of more than 890,000 photos from 3,623 travelers. The introduced framework has the potential to benefit tourism researchers and practitioners from capturing and understanding the behaviors and preferences of travelers. The findings can support destination-marketing organizations (DMOs) in promoting appropriate destinations to prospective travelers.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of travel research, 1 Mar. 2018, v. 57, no. 3, p. 399-413en_US
dcterms.isPartOfJournal of travel researchen_US
dcterms.issued2018-03-01-
dc.identifier.isiWOS:000424059300009-
dc.identifier.scopus2-s2.0-85041565097-
dc.identifier.eissn1552-6763en_US
dc.identifier.rosgroupid2017002003-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201808 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0267-n01, a0635-n03-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextGRF: 15503814en_US
dc.description.pubStatusPublisheden_US
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