Due to the ongoing increase in daily mobility, reductions in border controls, and new trends
in tourism, it is important to find new ways to record comprehensively the growing number of …

Suppliers of tourist services continuously generate big data on ask prices. We suggest using
this information, in the form of a price index, to forecast the occupation rates for virtually any …

Gravity models are widely used to study tourism flows. The peculiarities of the segmented
international demand for agritourism in Italy are examined by means of a novel approach: a …

This study provides evidence that supply-side soft information, retrieved from business
surveys, is effective in real time forecasting of hotel arrivals at the regional level. We assess …

The paper aims to evaluate the competitiveness of one of the world's leading tourism
countries from a stakeholders' perspective. A survey questionnaire has been submitted to …

Social media data has been rapidly applied as alternative data source for tourism statistics
and measurement in recent years due to its availability, easy collection, good spatial …

Municipalities and regions are often used as an object of tourism analysis at the subnational
level. This occurs because administrative borders are used to implement tourism policies …

This paper investigates the determinants of long-run winter tourism demand for French ski
resorts. The data are based on skier visits to the largest ski-lift operator in the world …

This paper proposes a data science approach based on Benford's Law to analyse tourist
flows–being tourism a relevant economic sector in Sicily. In particular, we are interested in …

Quantification is a central instrument of tourism governance, as numbers are perceived as a
solid factual basis for action. However, critical studies of quantification reveal the political …