This descriptor classifies each tourism destination according to one of the following six tourism typologies: urban (or city tourism), coastal, nature, rural, snowy mountain, and mixed. The classification is first determined at NUTS3 level based on the proport...

Potential accessibility indicator measures the potential amount of interactions one may have at different points in space. Crucial are the amount of potential interaction destinations, which in the presented indicator is observed as number of people in destina...

The share of industrial-commercial-services areas over the total land area indicator aims to assess the proportion of land used for economic activities over the total surface area. The level of detail of this indicator is per NUTS0 and NUTS2.

This dataset describes counterfactual public transport networks that were simulated for 36 world cities, and the aggregate data discussed in the paper in which these data are published. UNIT OF MEASURE: Meters of network length. RESOLUTION: 1:1000000. COMPLETE...

This dataset describes the inferred central role of settlements, established by repeatedly verifying if a settlement is the largest for incremental car travel time bands. UNIT OF MEASURE: Travel timebands in which settlement is largest. RESOLUTION: 1:1000000. ...

This indicator measures the temporal concentration of tourism activity throughout the year, potentially revealing unbalanced pressure and economic activity, as well as vulnerability to demand shocks. As such, a high seasonality is potentially detrimental for s...

This indicator measures the average economic value generated per night spent at the tourist destination, revealing tourism contribution to the economy of the destination country. The average tourism expenditure was adjusted taking into account the living costs...

This descriptor measures the average duration of stays at tourist accommodation establishments. It is calculated by dividing the total number of nights spent by the total number of tourist arrivals. Longer lengths of stay can potentially generate higher touris...

The indicator presented here measures the share of Green Infrastructure at different regional levels (in %). Green Infrastructure (GI) is defined as a strategically planned and delivered network of high quality green spaces and other environmental features (EC...

Built-up areas measures the total built-up area as a share of the total surface area of land in the country expressed in percentage. The indicator presents data for the year 2010, 2020, 2030, 2040 and 2050 at NUTSx for all EU 28 Member States.

Green Infrastructure (GI) is defined as a network of high quality green spaces and other environmental features. GI includes natural and semi-natural areas, features and green spaces in rural and urban, terrestrial, freshwater, coastal and marine areas. This i...

Tourism density is defined as the total number of nights spent over a year in a tourist destination (country or region) per square kilometre of land of the tourist destination. Very high values may signal possible crowding and/or environmental pressures. This ...

The indicator is defined as the amount of biomass produced from dedicated energy crops over the total surface area. The unit of measurement is thousands of tons per hectare.

This indicator measures the annual mean concentrations of NO2 (µg/m3). NO2 is one of the main pollutants emitted by road vehicles, shipping, power generation industry and households. Because of its high impact on human health, the EU Air Quality Directive (200...

This indicator measures the maximum available speed of internet connection at tourism destinations (municipality level), considering both fixed and mobile networks. It is based on measurements of internet speed at municipal scale, with each municipality weight...

The EU urban population exposed to PM10 concentrations exceeding the daily limit value on more than 35 days in a year measures the percentage of population in urban areas exposed to PM10 concentrations exceeding the daily limit value (50 µg/m3) established by ...

Projected potential accessibility according to the EU Reference scenario, 2010 - 2050.

Modelled average travel distances in 2010 and 2050 according to LUISA projections and a spatial interaction model (unit:meters). The results are based on a number of simulation-specific assumptions but are instrumental in informing the relative potential for s...

Data describing accurately aggregated travel times used to set up more accurate travel time models, given spatial interaction and aggregated interacting bodies. These have been used to improve the LUISA travel time estimations as documented in Stepniak and Jac...