An analysis of same-day visitor flow based on mobile phone network data: a case study of Szentendre
DOI:
https://doi.org/10.14267/TURBULL.2020v20n4.2Keywords:
mobile phone network data, big data, same-day visitors, satellite tourism, SzentendreAbstract
The aim of the study is to analyse the volume and special features of the same-day visitor flow (satellite tourism) based on the mobile phone network data of Magyar Telekom in the case of Szentendre, which is an attractive small town close to Budapest. First, we identified the parameters valid for determining daily commuting, including both foreign and domestic satellite tourists. We then queried them from the mobile phone data set for given periods using our own software. From the commuting data, we separated visitors from those commuting for work, study and transit, using different validation steps. Based on our database, we estimated that the volume of the same-day visitor flow in Szentendre was ca. 510,000 in 2019, of which 75% are domestic visitors. Compared to traditional tourism, satellite tourism is less affected by seasonality, but a strong weekday-weekend dichotomy is visible, especially for domestic visitors.
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