Title

Population based tourism function index - TFI (overnights)

License

AC_Limited usage license (AC_limited)

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Abstract

TFI= (N*100)/P where N= number of overnights and P = population. Period 2010.

The population based Tourism Function index (overnights) represents a demand-oriented indicator. Generally, it can be stated that if there is a large number of overnights and few inhabitants, then the TFI will be high.
In the central Alpine area (including the regions of South Tyrol, parts of Trentino, Vorarlberg, Tyrol, Salzburg, East Tyrol, parts of Kärnten, Eastern parts of CH and parts of Bavaria) the Population based TFI is almost homogeneous, with high values, while towards the eastern part of the Alps the figures tend to decrease and to the west they appear to be scattered and heterogeneous.
Austria, Germany and Italy are the countries where the highest Population based TFI (overnights) is registered, amounting respectively to 1,820, 1,587 and 1,154. The NUTS2 regions with the highest TFI indicator are the Autonomous Province of Bolzano (I), Tyrol and Salzburg (A). Concerning the French department data, the NUTS3 departments bordering with Italy and particularly Alpes-de-Haute-Provence and Savoie show higher tourism intensity than those in the west of the Alpine region.

Publication Date

Jan. 1, 2013, 2:40 p.m.

Type

Vector Data

Keywords

RSA4

Category

Tourism

Tourism topic

Regions

Alps

Responsible

AlpineConvention

Group

PSAC - Permanent Secretariat Alpine Convention

More info

-

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: ESRI;

The 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

Layer WMS GetCapabilities document