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Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities

dc.contributor.authorDomènech, Antoni
dc.contributor.authorMohino, Inmaculada
dc.contributor.authorMoya Gómez, Borja
dc.date.accessioned2024-01-23T13:01:29Z
dc.date.available2024-01-23T13:01:29Z
dc.date.issued2020
dc.description.abstractWorld tourism dynamics are in constant change, as well as they are deeply shaping the trajectories of cities. The “call effect” for having the World Heritage status has boosted tourism in many cities. The large number of visitors and the side effects, such as the overcrowding of central spaces, are arousing the need to develop and protect heritage assets. Hence, the analysis of tourist spatial behaviour is critical for tackling the needs of touristified cities correctly. In this article, individual visitor spatiotemporal trajectories are reconstructed along with the urban network using thousands of geotagged Flickr photos taken by visitors in the historic centre of the World Heritage City of Toledo (Spain). A process of trajectory reconstruction using advanced GIS techniques has been implemented. The spatial behaviour has been used to classify the tourist sites offered on the city’s official tourist map, as well as to identify the association with the land uses. Results bring new knowledge to understand visitor spatial behaviour and new visions about the influence of the urban environment and its uses on the visitor spatial behaviour. Our findings illustrate how tourist attractions and the location of mixed commercial and recreational uses shape the visitor spatial behaviour. Overflowed streets and shadow areas underexplored by visitors are pinpointed.eng
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.sponsorshipGeneralitat de Catalunya
dc.description.statuspub
dc.identifier.citationDomènech, Antoni, Inmaculada Mohino, y Borja Moya-Gómez. «Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities». ISPRS International Journal of Geo-Information 9, n.o 11 (29 de octubre de 2020): 646. https://doi.org/10.3390/ijgi9110646.
dc.identifier.doi10.3390/ijgi9110646
dc.identifier.issn2220-9964
dc.identifier.officialurlhttps://doi.org/10.3390/ijgi9110646
dc.identifier.urihttps://hdl.handle.net/20.500.14352/94764
dc.issue.number646
dc.journal.titleISPRS International Journal of Geo-Information
dc.language.isoeng
dc.page.final28
dc.page.initial1
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI-Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/ANALISIS DINAMICO DE LOS PATRONES DE MOVILIDAD A PARTIR DE BIG DATA/RTI2018-098402-B-I00
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI-Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ANALISIS DEL PAPEL DE LAS POLITICAS TERRITORIALES EN LA GESTION DE LOS DESTINOS TURISTICOS EN LA EPOCA DE LAS MOVILIDADES/CSO2017-82156-R
dc.relation.projectIDinfo:eu-repo/grantAgreement/GENCAT//2017SGR22
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//FJCI-2015-25826/ES/FJCI-2015-25826/
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu338.48-44(1-21)
dc.subject.keywordVisitor Spatial Behaviour
dc.subject.keywordMobilities
dc.subject.keywordVisitor flows
dc.subject.keywordUrban tourism
dc.subject.keywordGeotaaged photos
dc.subject.keywordFlickr
dc.subject.keywordToledo
dc.subject.ucmTurismo
dc.subject.ucmSistemas de información geográfica
dc.subject.ucmGeografía humana
dc.subject.unesco5403 Geografía Humana
dc.titleUsing Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number9
dspace.entity.typePublication
relation.isAuthorOfPublication91356264-4e7c-49e2-90b0-070d2d420902
relation.isAuthorOfPublication.latestForDiscovery91356264-4e7c-49e2-90b0-070d2d420902

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