Mining tourist routes using Flickr traces

Chareyron, Gaël; Da-Rugna, Jérôme; Branchet, Bérengère

doi:10.1145/2492517.2500307

Cited by 14 publications

(6 citation statements)

References 5 publications

(3 reference statements)

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“…In group 2, when the information is collected after the visit, the option D "Patterns of tourist mobility, based on geolocalized photographs" is mainly developed in References [128,149,157,230,240,243,266]. These studies are based on the database of tagged photographs available on social networks.…”

Section: Discussionmentioning

confidence: 99%

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

et al. 2019

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The tracking of tourist movements is an essential aspect in the management of sustainable tourist destinations. The current information and communication technologies provide innovative ways of collecting data on tourist movements, but it is still necessary to evaluate tools and methods of study for this challenge. At this point, mobile technologies are the best candidate for this task. Given the relevance of the topic, this paper proposes a mapping science analysis of publications on "movement of tourists" and "traceability." It has been carried out in the two main sources WOS and SCOPUS. The term "traceability" is brought from industry and technology areas to be applied to the tourist movement/mobility tracking and management. The methodological scheme is based on a selection of search criteria with combinations of terms. The sources of specialized information in applied social sciences and technology were then selected. From there, the searches have been executed for their subsequent analysis in three stages-(I) relevance analysis filtering the results to obtain the most pertinent; (II) analysis of articles with similarity thematic, authors, journals or citations; (III) analysis of selected papers as input for the mapping analysis using Citespace. The automatic naming of clusters under the selected processing confirms that the analysis of movements is a valid scientific trend but research-oriented from the perspective of traceability is non-existent, so this approach is novel and complementary to existing ones and a potential contribution to knowledge about tourist movements. Finally, a set of methodological considerations and a classification of information capture tools are proposed. In this classification, mobile technology is the best option to enable tourist movement analysis.

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Section: Discussionmentioning

confidence: 99%

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

et al. 2019

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“…Social media sources (photo sharing web sites such as Flickr, Twitter, Panoramio or Instagram; or social sport tracker sites and applications such as Wikiloc or Strava) connected with tourism activity, have contributed greatly to ameliorating both data collection and analysis issues, potentially contributing to urban tourist research. As stated by Chareyron et al [55], big data unquestionably represents a new challenge for tourism. In addition, the recent widespread use of camera devices with GPS (including smartphones and tablets) enables storing geographical information for each photo taken.…”

Section: Geotagged Social Media Sourcesmentioning

confidence: 99%

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

Domènech

Sanz

Moya-Gómez

2020

IJGI

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World 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.

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“…In the field of tourism, geotagged photos published on social network sites are surely the more exploited objet for studying people' activities and behaviour related to touristic places [8]. More particularly, considering the case of cultural routes, Chayeron et al [9] showed that the analysis of digital traces retrieved on the photo-sharing platform Flickr can help to rebuild the spatial path of a given tourist and to identify the most popular tourist points.…”

Section: State-of-the-artmentioning

confidence: 99%

“…This can be the case, for instance, of accounts that have a similar goal such as two cyclists' clubs. Or, this can be the case of websites financed by advertising, such as eventi_della_tuscia 9 which revenues is subject to its audience (in terms number of visitors, numbers of clicks on advertising).…”

Section: Figure 4 Intra-and Inter-class Linksmentioning

confidence: 99%

Social media and European cultural routes

Bellens

Banc

Éloire

et al. 2016

Proceedings of the 8th International Conference on Management of Digital EcoSystems

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In the last few years, European Cultural Routes have become important tourist destinations. What makes this kind of tourism interesting is both the complexity of values and significances that motivate it and the variety of social actors (walkers, inhabitants, institutions, commercial actors, etc.) that are involved. Empirical studies on this phenomenon are still limited because they are really time-consuming and resource-demanding. Yet, social media data seem to provide new perspectives on this field by generating digital traces of the tourists' behavior. This paper aims at exploring how social media data can be employed in order to study tourism on European Cultural Routes. We will consider the case study of the platform Instagram on the route "Via Francigena".

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Mining tourist routes using Flickr traces

Cited by 14 publications

References 5 publications

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

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

Social media and European cultural routes

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