Abstract
From the beginning of the 21st century, following major European and global initiatives such as the Millennium Ecosystem Assessment (2005) [1, 2] and The Economics of Ecosystem and Biodiversity [3], the idea that Ecosystem services could be used as a decision support tool, it gained considerable importance in several fields: from economy to public policy, from territorial planning to environmental assessment. This research is part of the methodological framework of an important strategic reference: the Millennium Ecosystem Assessment, and international research project which rank the ecosystem services to identify the state of the latter, accessing the consequences of ecosystem changes on human well-being. According to the MA [1], they are grouped into four categories: supplying services (food and fiber production, water production, biological and cosmetics production etc.), regulation services (maintenance of the air quality, climate regulation, flood regulation, erosion or drought, pollination, water purification, etc.), cultural services (cultural diversity, recreational or spiritual services, aesthetic values, ecotourism etc.), and support services (carbon sequestration, soil formation, etc.). This classification in the most widespread and used in ecosystem studies because is easy to understand its logic and it can define fixed categories. Starting from this classification, the work done contributes to build interpretative models for the evaluation of a relevant part of the fourth class of ecosystem services: the territorial tourism attractiveness.
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Notes
- 1.
We considered as main data source the datasets and the thematic reports distributed by the Regional Agency for Territorial Promotion of Basilicata Region APT (http://www.aptbasilicata.it/Dati-statistici-2016-2013.2094.html accessed Maj 2017.
- 2.
INVEST- related documentation is available online at http://data.naturalcapitalproject.org/nightly-build/invest-users-guide/html/index.html.
- 3.
The APT does not provide a municipal breakdown of data on arrivals at presences, due to privacy issues, but in terms of tourist areas (see Fig. 6) that aggregate more Municipality on the regional territory.
- 4.
The density was calculated on the arrivals and tourist presences data considering the intensity of the phenomenon the value of arrivals and attendances proportional to the number of beds per hotel and a radius of influence inversely proportional to the rarity of hotel types existent in Basilicata.
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Scorza, F., Fortino, Y., Giuzio, B., Murgante, B., Las Casas, G. (2017). Measuring Territorial Specialization in Tourism Sector: The Basilicata Region Case Study. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_38
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