Geographical distribution of sustainable tourism development of the countries of the European Union using the machine learning method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F20%3AA0000706" target="_blank" >RIV/47813059:19240/20:A0000706 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Geographical distribution of sustainable tourism development of the countries of the European Union using the machine learning method
Original language description
On the one hand, the long-term growth of tourism leads to the development of the environment. The mass nature of tourism in recent years has created negative pressures on the social and natural environment. For these reasons, development needs to be geared towards sustainability. Creating an environment in which social, economic and environmental areas are consistent. Measuring the sustainability of tourism in the EU is based on the methodology of European indicators for assessing sustainable development. The article deals with the comparison of sustainable tourism of EU countries on the basis of selected indicators from individual areas of sustainability year-on-year comparison of 2012 and 2017 through machine learning methods and comparative analysis. The results show that there are countries that are still lagging behind in achieving sustainability goals in terms of renewables or waste production.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50901 - Other social sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
36th IBIMA Conference: Sustainable Economic Development and Advancing Education Excellence in the Era of Global Pandemic
ISBN
9780999855157
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
11090-11097
Publisher name
INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA
Place of publication
USA
Event location
Granada, Spain
Event date
Nov 4, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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