Using big data from Wikipedia page views for official tourism statistics

Eoin T. Flaherty · Eimear Quinn Healy

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Human Mobility and Location-Based Analysis Diverse Aspects of Tourism Research Big Data Technologies and Applications

Abstract

We use big data from Wikipedia page views to examine its possible use in official tourism statistics. Big data offers many opportunities for National Statistics Institutes (NSIs). However, it is also challenging to ensure that it can be used effectively and can be relied on. Using the United Nation s Economic Commission for Europe (UNECE) ‘Sandbox’ environment for big data, we find correlations between Wikipedia page views on cities and official tourism indicators in subsequent periods. We also find evidence using page views of beaches to support previous findings and concerns in the literature about selectivity and spurious correlation. While big data is useful, NSIs must be careful in how they formulate official statistics obtained with it.

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2001Vector Autoregressions 2015Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics 2015``Re-make/Re-model'': Should big data change the modelling paradigm in official statistics?

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2021The Current State of Big Data Research in Tourism: Results of a Systematic Literature Analysis

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