TY - JOUR
T1 - Crowdsourced mapping of tourism distribution and dynamics in Iceland using Flickr
AU - Bishop, Michaël Virgil
AU - Ólafsdóttir, Rannveig
AU - Michaud, Tracy
AU - Metcalf, Colleen
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Social media has become a catalyst for tourism in nature-based destinations, raising management challenges to cope with abrupt visitation growth in sensitive settings. Access to location-based social media data provides valuable material to identify and monitor spatial distribution patterns in tourism visitation and longitudinal trends, especially in vast, remote settings. This paper aims to evaluate the use of Flickr geodata for mapping spatiotemporal dynamics of tourist behaviors in Iceland. The consistency of the Flickr dataset with other proxies supports its validity and relevance. Tourism visitation appears closely related with accessibility factors, which are characterized by a strong seasonal variation. On longer timescales, the data reflect the increase of off-season visitation and the emergence of new tourist sites. This study demonstrates the value and potential of such a dataset to get an overview of the spatial patterns and dynamics of tourism at a national-level and outlines the limits inherent to its use.
AB - Social media has become a catalyst for tourism in nature-based destinations, raising management challenges to cope with abrupt visitation growth in sensitive settings. Access to location-based social media data provides valuable material to identify and monitor spatial distribution patterns in tourism visitation and longitudinal trends, especially in vast, remote settings. This paper aims to evaluate the use of Flickr geodata for mapping spatiotemporal dynamics of tourist behaviors in Iceland. The consistency of the Flickr dataset with other proxies supports its validity and relevance. Tourism visitation appears closely related with accessibility factors, which are characterized by a strong seasonal variation. On longer timescales, the data reflect the increase of off-season visitation and the emergence of new tourist sites. This study demonstrates the value and potential of such a dataset to get an overview of the spatial patterns and dynamics of tourism at a national-level and outlines the limits inherent to its use.
KW - big data
KW - Flickr geo-tags
KW - Iceland
KW - tourism spatial patterns
KW - Tourist behavior
UR - http://www.scopus.com/inward/record.url?scp=85193946728&partnerID=8YFLogxK
U2 - 10.1080/15022250.2024.2355905
DO - 10.1080/15022250.2024.2355905
M3 - Article
AN - SCOPUS:85193946728
SN - 1502-2250
JO - Scandinavian Journal of Hospitality and Tourism
JF - Scandinavian Journal of Hospitality and Tourism
ER -