Tourism and environment report

Publication Created 24 Apr 2017
1 min read
upcoming

Tourism and environment report

Publication Created 24 Apr 2017
1 min read
upcoming
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Data visualisations

Figures used

Number of photographs per km2 Number of photographs per km2 The map shows the number of pictures taken within each 1x1 km grid and could be considered a proxy of attractiveness.
Number of bed places per 100 residents Number of bed places per 100 residents The indicator presents the tourism intensity as number of bed places per 100 residents by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known.
Carried passengers per NUTS2 Carried passengers per NUTS2
Geoparks network in the Czech Republic Geoparks network in the Czech Republic Within the network it is possible to exchange individual national geoparks experiences, organize visits, seminars and conferences with a geological theme.
Share of overnights spent at tourism accommodation establishments by non-residents Share of overnights spent at tourism accommodation establishments by non-residents Percentage of nights spent by non-residents at tourist accommodation establishments by NUTS 2 level. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Overnight stays are calculated by country of residence of the guest and by month. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. A person is considered to be a resident in a country (place) if the person: - has lived for most of the past year or 12 months in that country (place), or - has lived in that country (place) for a shorter period and intends to return within 12 months to live in that country (place). International tourists should be classified according to their country of residence, not according to their citizenship. From a tourism standpoint any person who moves to another country (place) and intends to stay there for more than one year is immediately assimilated with other residents of that country (place). Citizens residing abroad who return to their country of citizenship on a temporary visit are included with non-resident visitors. Citizenship is indicated in the person's passport (or other identification document), while country of residence has to be determined by means of question or inferred e.g. from the person's address.
Share of marina port capacity with Blueflag Share of marina port capacity with Blueflag The dataset illustrates the number of moorings in marina ports per NUTS3 region with blue flag distinction.
Number of bed places per km2 in coastal areas Number of bed places per km2 in coastal areas The indicator presents the tourism density as number of bed places per km2 in coastal areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Coastal areas are defined on the basis of the local administrative units or municipalities (LAU-2) and consist of those municipalities (or equivalent local administrative units) within a given country or NUTS 2 region that are bordering the sea or close to the sea: if a municipality borders the sea, it is by default coastal; if a municipality is not bordering the sea but has 50% of its surface within a distance of 10km from the sea, it is also considered coastal; All other municipalities are non-coastal.
Number of bed places per 100 inhabitants in urban areas Number of bed places per 100 inhabitants in urban areas The indicator presents the tourism intensity as number of bed places per 100 inhabitants in urban areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Urban areas ares include: - Cities (alternative name: densely-populated areas): at least 50 % of the population lives in an urban centre (an urban centre is a cluster of contiguous grid cells of 1 km2 with a density of at least 1500 inhabitants per km2 and a minimum population of 50 000). -Towns and suburbs (alternative name: intermediate density areas): less than 50 % lives in an urban centre but more than 50 % of the population lives in an urban cluster (An urban cluster is a cluster of contiguous grid cells of 1 km2 with a density of at least 300 inhabitants per km2 and a minimum population of 5 000).
Proportion of high provision easily accessible areas in the recreation opportunity spectrum Proportion of high provision easily accessible areas in the recreation opportunity spectrum The map shows the Recreation potential index (RPI), which corresponds to the ecosystem function. It is a ranking of the potential recreation provision in the EU, independently whether such potential is or can be used. Ecosystems highly impacted by human activities (i.e. intensive agriculture) have the lowest score, while natural and semi-natural vegetation, protected areas and lake-sides have the highest score since they either are characterized by a high degree of naturalness, or provide specific opportunities for recreation (areas of outstanding natural value), or exert specific attraction (i.e. water bodies).
Number of bed places in rural areas per km2 of protected areas Number of bed places in rural areas per km2 of protected areas The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Rural areas (alternative name: thinly populated areas): more than 50 % of the population lives in rural grid cells (A grid cell outside urban clusters. Urban clusters are contiguous grid cells of 1 km2 with a density of at least 300 inhabitants per km2 and a minimum population of 5000). Protected areas include all figures of protection as specified in CDDA.
Overnights spent at tourism accommodation establishments (residents and non-residents) Overnights spent at tourism accommodation establishments (residents and non-residents) Nights spent by residents and non-residents at tourist accommodation establishments by NUTS 2 level. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Overnight stays are calculated by country of residence of the guest and by month. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time.
Percentage of total nights spent at tourist accommodation establishments in coastal areas Percentage of total nights spent at tourist accommodation establishments in coastal areas Percentage of nights spent at tourist accommodation establishments in coastal areas by NUTS 2 level. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Overnight stays are calculated by country of residence of the guest and by month. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time. Coastal areas are defined on the basis of the local administrative units or municipalities (LAU-2) and consist of those municipalities (or equivalent local administrative units) within a given country or NUTS 2 region that are bordering the sea or close to the sea: - If a municipality borders the sea, it is by default coastal; - If a municipality is not bordering the sea but has 50% of its surface within a distance of 10km from the sea, it is also considered coastal; All other municipalities are non-coastal.
Change in overnights spent at tourism accommodation establishments Change in overnights spent at tourism accommodation establishments Changes in nights spent at tourist accommodation establishments by NUTS 2 level (2004, 2014). Positive values indicate increse on nights spent over the period. Data from Albania and Bosnia and Hercegovina has been provided by national tourism statistics. Data from Serbia, Albania, Bosnia and Hercegovina and, Switzerland is reported at NUTS 0.
Number of bed places per 100 inhabitants in coastal areas Number of bed places per 100 inhabitants in coastal areas The indicator presents the tourism intensity as number of bed places per 100 inhabitants in coastal areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Coastal areas are defined on the basis of the local administrative units or municipalities (LAU-2) and consist of those municipalities (or equivalent local administrative units) within a given country or NUTS 2 region that are bordering the sea or close to the sea: if a municipality borders the sea, it is by default coastal; if a municipality is not bordering the sea but has 50% of its surface within a distance of 10km from the sea, it is also considered coastal; All other municipalities are non-coastal.
Total length of ski lifts Total length of ski lifts The map shows the density of ski lifts as the length ski lift infrastructure per 10 kilometer grid in Europe.
Share of protected areas per NUTS regions Share of protected areas per NUTS regions The map presents the percentage of each NUTS region that is protected. Protected areas include all figures of protection as specified in CDDA.
Marina port moorings per km coastline of NUTS3 regions Marina port moorings per km coastline of NUTS3 regions The dataset illustrates the number of moorings per kilometer of coastline of Mediterranean NUTS3 regions. The location of Marine Protected Area is overlayed to show the spatial relation between the regions with high density of moorings and the level of protection by MPAs.
Number of tourist arrivals per 100 residents Number of tourist arrivals per 100 residents Total number of tourism arrivals (domestic and international) at tourist accommodation establishments per 100 residents by NUTS 2 level. An arrival is defined as a person (tourist) who arrives at a tourist accommodation establishment and checks in or arrives at non-rented accommodation. But in the scope of the Regulation concerning European statistics on tourism, this variable is not collected for the latter type of accommodation. No age limit is applied: children are counted as well as adults, even in the case when the overnight stays of children might be free of charge. Arrivals are registered by country of residence of the guest and by month. The arrivals of same-day visitors spending only a few hours during the day (no overnight stay, the date of arrival and departure are the same) at the establishment are excluded from accommodation statistics.
Percentage of destination that is designated for protection Percentage of destination that is designated for protection The indicator presents the percentage of each NUTS region that is protected. Protected areas include all figures of protection as specified in CDDA.
Attractiveness of urban and rural places indicated by clusters of photographs Attractiveness of urban and rural places indicated by clusters of photographs In order the better capture the attractiveness, an indicator on hot spots have been applied. Hot spots are areas with significant higher concentration of pictures compared with the rest of the region and have also a significant spatial aggregation. It should be noted that the hot spot has a spatial extent, i.e. there is a high probability that people move inside the hot spot (in other words the same person will take pictures from different places inside the the hot spot). This also makes a difference with areas outside hot spots, there can still be a relatively high number of points where pictures are taken, but these points are not spatially clustered. Two type of hot spots have been identified: hot spots in rural areas and hot spots in urban areas.
Carried passengers per airport Carried passengers per airport The map shows all European aiports with more than 1 million of passengers per year (2013) (a) the number of carried passengers and (b) the relative difference of air passengers between 2009 and 2013. The size of circles represents the number of carried passengers, while the colour of the circle indicates whether ther was high/low decrease or increase of passengers numbers between 2009 and 2013.
Golf course area per NUTS3 Golf course area per NUTS3 Golf courses have a high impact on the territory. The extension of golf courses is represented in this dataset and set in relation to the area of NUTS3 regions in Europe, providing the indicator golf course area per NUTS3 region.
Cruise passengers per port (2013 and change 2009-2013) Cruise passengers per port (2013 and change 2009-2013) The map shows all European ports with cruise ship traffic. The number of cruise passengers in 1000 pax and (b) the absolute difference of cruise passengers between 2009 and 2013 are mapped. The size of circles represents the number of cruise passengers, while the colour of the circle indicates whether ther was high/low decrease or increase of passenger numbers between 2009 and 2013.
Occupancy rate Occupancy rate The occupancy rate of bed places in reference period is obtained by dividing the total number of overnight stays by the number of the bed places on offer (excluding extra beds) and the number of days when the bed places are actually available for use (net of seasonal closures and other temporary closures for decoration, by police order, etc.). The result is multiplied by 100 to express the occupancy rate as a percentage.
Number of bed places per 100 inhabitants in rural areas Number of bed places per 100 inhabitants in rural areas The indicator presents the tourism intensity as number of bed places per 100 inhabitants in urban areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Rural areas (alternative name: thinly populated areas): more than 50 % of the population lives in rural grid cells (A grid cell outside urban clusters. Urban clusters are contiguous grid cells of 1 km2 with a density of at least 300 inhabitants per km2 and a minimum population of 5000).
Attractiveness of regions by percentage of area covered by hot spots Attractiveness of regions by percentage of area covered by hot spots In order the better capture the attractiveness, an indicator on hot spots have been applied. Hot spots are areas with significant higher concentration of pictures compared with the rest of the region and have also a significant spatial aggregation. It should be noted that the hot spot has a spatial extent, i.e. there is a high probability that people move inside the hot spot (in other words the same person will take pictures from different places inside the the hot spot). This also makes a difference with areas outside hot spots, there can still be a relatively high number of points where pictures are taken, but these points are not spatially clustered. Two type of hot spots have been identified: hot spots in rural areas and hot spots in urban areas.
Total number of tourist arrivals Total number of tourist arrivals Total number of tourism arrivals (domestic and international) at tourist accommodation establishments by NUTS 2 level. An arrival is defined as a person (tourist) who arrives at a tourist accommodation establishment and checks in or arrives at non-rented accommodation. But in the scope of the Regulation concerning European statistics on tourism, this variable is not collected for the latter type of accommodation. No age limit is applied: children are counted as well as adults, even in the case when the overnight stays of children might be free of charge. Arrivals are registered by country of residence of the guest and by month. The arrivals of same-day visitors spending only a few hours during the day (no overnight stay, the date of arrival and departure are the same) at the establishment are excluded from accommodation statistics.
Number of bed places per km2 in urban areas Number of bed places per km2 in urban areas The indicator presents the tourism density as number of bed places per km2 in urban areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Urban areas ares include: - Cities (alternative name: densely-populated areas): at least 50 % of the population lives in an urban centre (an urban centre is a cluster of contiguous grid cells of 1 km2 with a density of at least 1500 inhabitants per km2 and a minimum population of 50 000). -Towns and suburbs (alternative name: intermediate density areas): less than 50 % lives in an urban centre but more than 50 % of the population lives in an urban cluster (An urban cluster is a cluster of contiguous grid cells of 1 km2 with a density of at least 300 inhabitants per km2 and a minimum population of 5 000).
Overnights spent at tourism accommodation establishments (residents and non-residents) per km2 by NUTS2 Overnights spent at tourism accommodation establishments (residents and non-residents) per km2 by NUTS2 Nights spent by residents and non-residents at tourist accommodation establishments per km2 by NUTS 2 level. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Overnight stays are calculated by country of residence of the guest and by month. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time.
Number of bed places per km2 in rural areas Number of bed places per km2 in rural areas The indicator presents the tourism density as number of bed places per km2 in rural areas by NUTS2. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double beds are counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Rural areas (alternative name: thinly populated areas): more than 50 % of the population lives in rural grid cells (A grid cell outside urban clusters. Urban clusters are contiguous grid cells of 1 km2 with a density of at least 300 inhabitants per km2 and a minimum population of 5000).
Overnights spent at tourism accommodation establishments (residents and non-residents) per habitants Overnights spent at tourism accommodation establishments (residents and non-residents) per habitants Nights spent by residents and non-residents at tourist accommodation establishments by NUTS 2 level. A night spent (or overnight stay) is each night a guest / tourist (resident or non-resident) actually spends (sleeps or stays) in a tourist accommodation establishment or non-rented accommodation. Overnight stays are calculated by country of residence of the guest and by month. Normally the date of arrival is different from the date of departure but persons arriving after midnight and leaving on the same day are included in overnight stays. A person should not be registered in two or more accommodation establishments at the same time.
Second homes per square kilometre (within 3Km radious) Second homes per square kilometre (within 3Km radious)

See also

TOUR005c.xls TOUR005c.xls
Bedroom occupancy rate in hotels and similar establishments Bedroom occupancy rate in hotels and similar establishments
Share of overnights spent at tourism accommodation establishments by non-residents Share of overnights spent at tourism accommodation establishments by non-residents
84308_TOUR004d.xls 84308_TOUR004d.xls
Marina port moorings per km coastline of NUTS3 regions Marina port moorings per km coastline of NUTS3 regions
Total number of tourist arrivals Total number of tourist arrivals
Mapll-83964-Number-of-bed-places-in-rural-areas-per-km2-of-protected-areas.eps Mapll-83964-Number-of-bed-places-in-rural-areas-per-km2-of-protected-areas.eps
84308_Map A5-Number of beds-places per km2 in coastal areas_cs4.eps 84308_Map A5-Number of beds-places per km2 in coastal areas_cs4.eps
84311_Map.A8- Number-of-beds-places-per-100-inhabitants-in-coastal-areas_v3_cs4.eps 84311_Map.A8- Number-of-beds-places-per-100-inhabitants-in-coastal-areas_v3_cs4.eps
84310_Map A7-Number-of-beds-places-per-100-inhabitants-in-rural areas_v4_cs4.eps 84310_Map A7-Number-of-beds-places-per-100-inhabitants-in-rural areas_v4_cs4.eps
Overnights spent at tourism accommodation establishments (residents and non-residents) per habitants Overnights spent at tourism accommodation establishments (residents and non-residents) per habitants
83919_Metadata_TOUR004e.xls 83919_Metadata_TOUR004e.xls
DataPackageForMap_TOUR002_AirPassengerNUTS2.xls DataPackageForMap_TOUR002_AirPassengerNUTS2.xls
Carried passengers per airport Carried passengers per airport
83906_Map 2.3a-Total air passengers carried_v4_cs4.eps 83906_Map 2.3a-Total air passengers carried_v4_cs4.eps
DataPackageForMap_TOUR007_Skilifts.xls DataPackageForMap_TOUR007_Skilifts.xls
Percentage of destination that is designated for protection Percentage of destination that is designated for protection
84310_TOUR004i.xls 84310_TOUR004i.xls
Natura2000 Emerald sites, 2012 data (Eionet login required) Natura2000 Emerald sites, 2012 data (Eionet login required)
Share of protected areas per NUTS regions Share of protected areas per NUTS regions
83885-Map1.3b-Proportion-of high-provision-easily-accessible-areas_v4.eps 83885-Map1.3b-Proportion-of high-provision-easily-accessible-areas_v4.eps
83963_Second-homes-in-Finland_v1_cs4.eps 83963_Second-homes-in-Finland_v1_cs4.eps
TOUR004g_metadata.xls TOUR004g_metadata.xls
Geoparks network in the Czech Republic Geoparks network in the Czech Republic
Attractiveness of urban and rural places indicated by clusters of photographs Attractiveness of urban and rural places indicated by clusters of photographs
83919_Map 2.2.a-Number-of-tourist-arrivals-per-100-inhabitants_cs4.eps 83919_Map 2.2.a-Number-of-tourist-arrivals-per-100-inhabitants_cs4.eps
Overnights spent in tourist accomodation establishments per km2 Overnights spent in tourist accomodation establishments per km2
84311_TOUR004j.xls 84311_TOUR004j.xls
Percentage of total nights spent at tourist accommodation establishments in coastal areas Percentage of total nights spent at tourist accommodation establishments in coastal areas
83921_Map 2.2.c- Number-of-bed-places-per-100-residents_cs4.eps 83921_Map 2.2.c- Number-of-bed-places-per-100-residents_cs4.eps
84309_Map.A6-Number-of-beds-places-per-100-inhabitants-in-urban-areas_cs4.eps 84309_Map.A6-Number-of-beds-places-per-100-inhabitants-in-urban-areas_cs4.eps
Number of cruise passengers per port Number of cruise passengers per port The map shows all European ports with cruise ship traffic. The number of cruise passengers in 1000 pax and (b) the absolute difference of cruise passengers between 2009 and 2013 are mapped. The size of circles represents the number of cruise passengers, while the colour of the circle indicates whether ther was high/low decrease or increase of passenger numbers between 2009 and 2013.
84309_TOUR004h.xls 84309_TOUR004h.xls
84306_MapA3-Number-of-beds-places-per-km2-in-urban-areas-2014.eps 84306_MapA3-Number-of-beds-places-per-km2-in-urban-areas-2014.eps
83895_Metadata_TOUR001c_2015.xls 83895_Metadata_TOUR001c_2015.xls
83949_Total length of ski lifts_v4_cs4.eps 83949_Total length of ski lifts_v4_cs4.eps
DataPackageForMap_TOUR007_GolfCourses.xls DataPackageForMap_TOUR007_GolfCourses.xls
83954_Map 2.3i- Ratio between the area of golf courses_cs4.eps 83954_Map 2.3i- Ratio between the area of golf courses_cs4.eps
83895_Map xxx- Nights spent by residents and non-residents_v4_cs4.eps 83895_Map xxx- Nights spent by residents and non-residents_v4_cs4.eps
83967-map2.3h-Marina-port-capacity.eps 83967-map2.3h-Marina-port-capacity.eps
Number of bed places per km2 in rural areas Number of bed places per km2 in rural areas
Changes in overnights spent at tourism accommodation establishments Changes in overnights spent at tourism accommodation establishments
Number of cruise passengers per port Number of cruise passengers per port The map shows all European ports with cruise ship traffic. The number of cruise passengers in 1000 pax and (b) the absolute difference of cruise passengers between 2009 and 2013 are mapped. The size of circles represents the number of cruise passengers, while the colour of the circle indicates whether ther was high/low decrease or increase of passenger numbers between 2009 and 2013.

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