Gábor MICHALKÓ, Geographical Research Institute CSFK, Hungary
Noémi ILYÉS, Hungarian Tourism Association Foundation, Hungary
Tünde SZABÓ, Geographical Research Institute CSFK, Hungary
Márton PROROK, Geographical Research Institute CSFK, Hungary
Attila KONDOR, Geographical Research Institute CSFK, Hungary
Tourists leave their mark. For a long time, tourism statistics were the only reliable source of information on tourism mobility. Border and accommodation statistics are mainly used to understand the spatial concentrations of macro movements and tourism demand. Tourism statistics are inadequate for the analysis of tourism mobility across Schengen borders without the use of accommodation (De Cantis et al. 2015). The majority of unconventional tourism demand is generated by one-day domestic or cross-border short-haul trips, the use of either self-owned or lent properties, and visits to relatives and friends (VFR tourism) (Rátz et al. 2015). In many cases, comprehensive, even systematic questionnaire surveys can provide insights into the spatial preferences and movement behaviour patterns of tourism demand outside the statistical framework (Rátz et al. 2020). The digital age has brought a major breakthrough in understanding invisible tourism mobility. Initially, the geolocation (GPS) systems of digital cameras made it possible to track the location of photos taken by tourists uploaded to the internet. Later, photos and their hashtags posted on Instagram revealed the good places hidden from the eyes of tourism statisticians. Today, big data offers the opportunity to gain a better understanding of micro-level tourism movements (Saluveer 2020). As tourists consume and communicate, credit card payments and the use of smart phones could lead researchers to explore the mobility pattern of tourists (Hatziioannidu-Polydoropoullou 2017). In this presentation, we will discuss the specificities of mobility in Hungary by SIM card users registered in foreign countries. The analysis is based on the Telekom database. We seek to answer the question to what extent the information from the hypothetical tourists' smart phone use can help to understand micro-movements and to identify good places not included in tourism statistics.
Mots clés : unobserved tourism|mobility|digitalization|big data|tourism destination
A104530GM