Location intelligence for tourism destinations: a big data comparative analysis through location-based social networks
by Konstantinos Vassakis; Emmanuel Petrakis; Ioannis Kopanakis; John Makridis
International Journal of Tourism Policy (IJTP), Vol. 11, No. 3, 2021

Abstract: The existing practical research that social media and location intelligence in tourism is utilising a part of the possibilities that big data analytics can offer. Therefore, innovative big data analytics applications can provide new knowledge about behavioural data and perceptions in tourism destinations. This research develops an innovative approach of leveraging geotagged user-generated content in location-based social networks (LBSNs) for tourism destinations. In contrast to the conventional spatio-temporal analysis, valuable knowledge is extracted about travellers' behaviour, experiences, and opinions for tourist destinations. Our approach's contribution has been demonstrated using user-generated content for the two largest islands in the Mediterranean sea, Crete and Cyprus. The results of our study provide significant insights about the characteristics of the visitors in specific spots, their preferences, opinions and their tempo-spatial movements in tourism destinations - offering valuable information to tourism stakeholders for instant and effective strategic decision making that can lead to innovation and value creation.

Online publication date: Sat, 30-Oct-2021

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