This folder contains five datasets.

One dataset ('Potential.csv') characterizes the potential for eight different holiday styles (city tourism, culture tourism, nature tourism, event tourism, sports tourism, sea, sun and sand tourism, wellness tourism and visiting relatives) in the European Union (EU28) at the NUTS2 level, quantified using spatial data indicating the presence and attractiveness of specific assets.

Three datasets ('Number of trips.csv', 'Total distance traveled.csv', 'Total CO2e emissions.csv') characterize leisure travel flows for these eight holiday styles, within and between the NUTS regions of the EU28. Flows are expressed in terms of number of trips, total distance travelled, and aggregate carbon emissions, and are provided by origin region-destination region pair. In all three datasets, flows are also classified into three transport options: air, rail, and road. Each transport option is multimodal, which matters for the calculation of carbon emissions. Therefore, the total distance and carbon emissions are also distributed between different transport modes (car, airplane, train, ferry). For example, the column CO2_AIR_car contains the aggregated carbon emissions of car trips to and from the airport in the origin and destination regions.

One dataset ('Spatial patterns (trips) gis.csv') can be open with a gis software using the WKT to visualise and plot the spatial patterns of the flows per holiday style.

Note that the input data used to calculate these three datasets are from different years (e.g. we used the average number of trips between EU countries over the period 2010-2018 (Eurostat) to correct for inconsistencies in reporting), so they reflect an average situation rather than the situation in a specific year.