Scipediacontent: Scipediacontent moved page Draft Content 886918363 to Pagliara et al 2020a

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Scipediacontent moved page Draft Content 886918363 to Pagliara et al 2020a

Scipediacontent: Created page with " == Abstract == This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Spe..."

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Created page with " == Abstract == This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Spe..."

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== Abstract ==

This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Speed Rail project in Italy on the tourism market. This approach, as far as the author knows, has never been applied in this context. Tourism and transport information have been gathered for 99 Italian provinces during the 2006&ndash

2016 period. Tree-structured methods have been chosen as an application of regression models in which some explanatory variables are used as covariates to predict the dependent variable values on the basis of some decision rules. This approach establishes a casual effect between dependent and independent variables. The dependent variables chosen are the Italian and foreign tourists, and the number of overnights spent by Italians and foreigners. Among the independent variables are the presence of HSR, the presence of first-level airport hubs and the number of operating bases of low-cost airlines

among the attractiveness variables are the GDP, the number of attractions in a given province, the presence of the sea, the population and the percentage of unemployment. The main outcome of this study is that HSR affects the tourism market.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_886918363-beopen980-6974-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/su12030910 http://dx.doi.org/10.3390/su12030910] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/su12030910 http://dx.doi.org/10.3390/su12030910] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2071-1050/12/3/910/pdf https://www.mdpi.com/2071-1050/12/3/910/pdf] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/2071-1050/12/3/910 https://www.mdpi.com/2071-1050/12/3/910],
: [https://doaj.org/toc/2071-1050 https://doaj.org/toc/2071-1050] under the license cc-by

* [https://www.mdpi.com/2071-1050/12/3/910 https://www.mdpi.com/2071-1050/12/3/910],
: [https://ideas.repec.org/a/gam/jsusta/v12y2020i3p910-d313249.html https://ideas.repec.org/a/gam/jsusta/v12y2020i3p910-d313249.html],
: [https://www.mdpi.com/2071-1050/12/3/910/pdf https://www.mdpi.com/2071-1050/12/3/910/pdf],
: [https://academic.microsoft.com/#/detail/3000789441 https://academic.microsoft.com/#/detail/3000789441]

* [https://www.mdpi.com/2071-1050/12/3/910/pdf https://www.mdpi.com/2071-1050/12/3/910/pdf],
: [http://dx.doi.org/10.3390/su12030910 http://dx.doi.org/10.3390/su12030910]

under the license https://creativecommons.org/licenses/by/4.0/

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Pagliara et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 886918363 to Pagliara et al 2020a

Scipediacontent: Created page with " == Abstract == This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Spe..."