- Title
- Area based tourism Function Index - TFI (overnights)
- License
- AC_Limited usage license (AC_limited)
-
+ The information or the document is freely available and can be accessed from the website www.atlas.alpconv.org or, if available, through the dedicated WMS function.
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+ For more info see http://www.atlas.alpconv.org/terms/. - Abstract
TFI= (N*100)/P where N= number of overnights and P = area in km^2. Period 2010. The area based Tourism Function Index describes the number of overnights related to the municipality area and represents a demand-oriented indicator.
The overall picture is similar to that of the Area based TFI (beds), but the concentration of overnights per km2 is even stronger in the central part of the Alps and in the area where France, Italy and Switzerland border. National values of the index show that Germany is definitely the country with the highest Area based TFI (overnights) (222,427), followed by Austria (117,756) and Italy (101,231). The NUTS2 regions with highest concentration of overnights per km2 are the same as those having the highest Population based TFI (overnights), - i.e. the Autonomous province of Bolzano (I), Schwaben (D), Tyrol and Salzburg (A).
There are several municipalities with very high figures and they are located almost only in the central Alpine area (especially in the Dolomites) or surrounding Alpine lakes (Lago di Garda, Lago Maggiore, Lago di Lugano). Urban areas such as Innsbruck (A), Bolzano (I), Aosta (I), Chambery (F) and Grenoble (F) show higher values than mountainous areas.
- Publication Date
- Jan. 1, 2013, 3:01 p.m.
- Type
- Vector Data
- Keywords
- RSA4
- Category
- Tourism
- Tourism topic
- Regions
- Alps
- Responsible
- AlpineConvention
- Group
- PSAC - Permanent Secretariat Alpine Convention
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- Some limitations apply to the access or use of the data
- Purpose
This map is published within the 4th Report on the state of the Alps (RSA4).
- Language
- English
- Supplemental Information
Author: Elisa Ravazzoli, Institute for regional development and location management,
EURAC Data from Austria and Germany concerning bed spaces refer to 2011.
Population data refer to 2007. for information on the indicator and on the data elaboration refer to appendix 1.
Sources:
- Statistical Data: National Statistical Offices;
- Administrative boundaries: @Eurogeographic, 2009
National Border: ESRIThe layer can be accessed through WMS services at http://www.atlas.alpconv.org/geoserver/ows?service=wms&version=1.3.0&request=GetCapabilities
- Spatial Representation Type
- vector data is used to represent geographic data
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