Tourism 4.0: Data-Driven Covid-19 Recovery

Bradić-Martinović, Aleksandra (2021) Tourism 4.0: Data-Driven Covid-19 Recovery. In: Innovative Aspects of the Development Service and Tourism : Book of proceedings of IX International scientific-practical conference (Stavropol, 22 April 2021) : research materials and reports : Part II. Секвойя, Stavropol. ISBN 978-5-907110-75-5

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Abstract

The COVID-19 pandemic is causing substantial economic consequences, especially in the tourism sector. Stakeholders of all levels are involved in the process of mitigating the crisis and finding recovery solutions. Previous research has pointed to the irreplaceable importance of ICT in tourism, emphasizing the post-COVID period's benefits. This paper presents the possibility of applying Big Data analytics during the recovery, bearing in mind that this type of data is becoming more relevant than ever in the tourism sector. The paper includes an exceptionally successful example of Big Data analytics in Korea - Asian Development Bank and Korea Telecom dashboard - Travel Intelligence Platform (TrIP). Based on LTE (Long-Term Evolution) data, they can estimate tourist's migration, both domestic and foreign.

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