Abstract
The present work reports an investigation on perception of tourists towards recreational trips to tourist destinations due to the effect of COVID-19 in India. Responses of tourists were captured from several popular tourist destinations in India for different travel modes, different activities within a destination and various interventions in the context of COVID-19 by a survey questionnaire and the responses were analyzed using RIDIT to rank as per their perceived risk and importance. Public transport like air, train and bus were found to be the high-risk travel modes over personal vehicles along with visiting attraction points/shopping areas within a destination. Interventions like sanitization, social distancing, use of musk and self-vaccination got higher importance by the tourists. An SP survey was conducted and depending on various interventions and their levels, a model was developed based on binary logit, which gives the probability of making a recreational trip to a tourist destination.
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