Understanding international and domestic travel intention of Indian travellers during COVID-19 using a Bayesian approach

This study investigated travel intentions of 484 international and 566 domestic travellers during COVID-19 pandemic using Bayesian structural equation modelling and the extended model of goal-directed behaviour. The variation in the perceived severity of COVID-19 and willingness to adopt personal non-pharmaceutical interventions (PNPIs) across different demographic and socioeconomic characteristics of travellers was also examined. It was revealed that attitude, subjective norm, perceived behavioural control and positive anticipated emotion positively and negative anticipated emotion negatively influenced travellers' intention through their desire to travel during COVID-19. The perceived severity of COVID-19 indirectly influenced travel intention through willingness to adopt PNPIs. Female and older travellers perceived COVID-19 as more severe and showed more willingness to adopt PNPIs. Implications and directions for future research are discussed.

Automated summary

This study examined the travel intentions of international and domestic travelers during the COVID-19 pandemic and explored how different demographic and socioeconomic characteristics influenced their attitudes and behaviors. Female and older travelers were found to perceive COVID-19 as more severe and were more willing to adopt personal non-pharmaceutical interventions (PNPIs).