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Measuring Attitudes To Travel In Risky Conditions

Author

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  • Ivanka Vasenska

    (SWU "Neofit Rilski", Blagoevgrad)

Abstract

Until the beginning of this year, tourism was the favored brain child, both by economy's family and by destiny. Over the past decades, the cataclysms, crises and upheavals in the global economic family have either diverged or not deeply affected the tourism sector, as it managed quickly to shake them off and stand back on its feet and even thrives. Unfortunately, it seemed that this time the tourism was down on its luck and the industry was shaken to its core and collapsed, sliding on the plane of devastation. Is there any hope, what is the rescue strategy, how scared are the tourists from the crisis caused by SARS-CoV-2 and the disease COVID-19 caused by it? The aim of this report is to use the computer language python and a web-based interactive computing environment for creating documents - jupyter notebook, to answer the above questions, analysing a survey implementing statistical models and tools.

Suggested Citation

  • Ivanka Vasenska, 2020. "Measuring Attitudes To Travel In Risky Conditions," Anniversary Scientific Conference with International Participation TOURISM AND CONNECTIVITY 2020, University publishing house "Science and Economics", University of Economics - Varna, issue 1, pages 204-213, October.
    • Handle: RePEc:vra:pr2010:y:2020:i:1:p:204-213
    DOI: 10.36997/TC2020.204
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    More about this item

    Keywords

    travel attitudes; crisis; risk; python; jupyter notebook.;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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