Abstract
In this study, we adapted a TRIRISK model developed in the medical field for deployment in the tourism domain. Structural equation modeling was used to investigate the roles of the deliberative, affective, and experiential dimensions of perceived risk and the perceived severity of COVID-19 in predicting travel avoidance intentions. An analysis of covariance was conducted to determine whether the study variables differ by period and demographic factors. The study makes three major contributions to the literature, namely, the development of an instrument to measure the impact of the COVID-19 pandemic on travel avoidance intentions; the testing of models that identified the relationships between the perceived risk of contracting the virus, expected severity of the medical and psychosocial consequences emanating from this risk, and travel avoidance intentions; and an evaluation of the initial appraisal of differences among sociodemographic cohorts in response to the study variables for 2020 and 2021.
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