Understanding the factors affecting travel avoidance behavior during the COVID-19 pandemic: Findings from a mixed method approach

Gomaa Agag (Lead / Corresponding author), Ziad Hassan Abdelmoety, Riyad Eid

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)
    38 Downloads (Pure)

    Abstract

    Pandemics are affecting tourism in many ways, and have had a major effect on international travel, the hospitality industry and tourism demand. Grounded in the protective action decision model and complexity theory, this study seeks to develop a model to explain the conditions that have led to travel avoidance in the UK in the context of the COVID-19 pandemic. To test our proposed model, we used a fuzzy-set qualitative comparative analysis of data gathered from 1,290 travelers, with semi-structured interviews conducted to confirm the configurations identified by the model. The findings indicate that effective pandemic information, effective risk communication, supplies, trust in government and trust in the media are necessary to combat travel avoidance, but the refutation of rumor and trust among traveler is not necessary to foster travel avoidance. Furthermore, qualitative follow-up interviews were conducted to obtain deeper insights into the discovered configurations and develop effective pathways to travel avoidance.
    Original languageEnglish
    Number of pages25
    JournalJournal of Travel Research
    DOIs
    Publication statusE-pub ahead of print - 29 Jun 2023

    Keywords

    • COVID-19
    • complexity theory
    • fsQCA
    • international travel avoidance
    • protective action decision model
    • public information
    • public trust

    ASJC Scopus subject areas

    • Geography, Planning and Development
    • Transportation
    • Tourism, Leisure and Hospitality Management

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