Tourists traits analysis on social networks

Sun, Shengjing (Grupo de Sistemas Inteligentes Universidad Politécnica de Madrid, Spain) ; Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Iglesias, Carlos A. (Grupo de Sistemas Inteligentes Universidad Politécnica de Madrid, Spain) ; Glassey Balet, Nicole (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

The travel and tourism industry is flourishing worldwide. It is vital for tourism-related supplier and markers to understand tourist traits in order to target tourism consumers and further assist decision makings. With the development of social networks, tourists published large quantities of travel experiences on social networks where they disclose their traits explicitly and implicitly. In this paper, we design a methodology for tourism traits analysis based on social networks, which includes three components: tourist demographic analysis, tourist social influences analysis, and tourist behavior analysis. Sina Weibo based Chinese tourists in Switzerland analysis is as a case study for our methodology, and different findings are obtained. Those findings are beneficial to tourism-related suppliers and markers to make valuable strategies. And our proposed methodology could be applied to analyze tourist traits in any social network platform.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Naples, Italy, 29 June-2 July 2016
Date:
Naples, Italy
29 June-2 July 2016
2016
Pagination:
12 p.
Publié dans
Proceedings of the 6th International Conference on Tourism (ICOT) 2016
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 Notice créée le 2016-10-04, modifiée le 2018-08-31

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