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2019 | OriginalPaper | Buchkapitel

7. Investigating Territorial Specialization in Tourism Sector by Ecosystem Services Approach

verfasst von : Francesco Scorza, Beniamino Murgante, Giuseppe Las Casas, Ylenia Fortino, Angela Pilogallo

Erschienen in: Mediterranean Cities and Island Communities

Verlag: Springer International Publishing

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Abstract

From the beginning of the 21st century, following major European and global initiatives such as the Millennium Ecosystem Assessment and the Economics of Ecosystem and Biodiversity, the idea that Ecosystem services could be used as a decision support tool, 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, an international project that defines ecosystem services and assesses the consequences of ecosystem change for human well-being. According to the MA, ecosystem services are grouped into four categories: supplying services, regulation services, cultural services, and support services. Starting from this, the present work contributes to build interpretative models for the evaluation of a relevant part of the fourth class of ecosystem services: the territorial touristic attractiveness. The InVEST model, an open source toolkit, has been applied to assess attractiveness of the Basilicata Region considering both natural and cultural heritage in order to highlight strengths and weaknesses of the investigated methodology.

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Fußnoten
2
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 18 May 2017.
 
3
Based on these variables, the software processes a linear regression model. The regression equation used is the following:
y = β0 + β1x1 + β2x2 + ··· + βixi + eii = 1, …, N
where: βi are the linear regression coefficients; xi are the territorial components considered as predictive variables to input into the software; y matches with the expected value of the model, which in the specific case is the Basilicata region tourism specialization level.
 
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Metadaten
Titel
Investigating Territorial Specialization in Tourism Sector by Ecosystem Services Approach
verfasst von
Francesco Scorza
Beniamino Murgante
Giuseppe Las Casas
Ylenia Fortino
Angela Pilogallo
Copyright-Jahr
2019
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-99444-4_7