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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50901 - Other social sciences

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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