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The COVID-19 pandemic severely impacted the global economy, with the tourism sector suffering losses of nearly $4 trillion. In the post-pandemic era, understanding factors influencing regional travel and revisit intentions is critical for sustainable tourism recovery. This study examines tourists’ perceptions and revisit propensities in Purulia, West Bengal, India, using partial least squares structural equation modeling (PLS-SEM). A total of 275 structured questionnaires were collected across Ajodhya, Panchakot, and Bundwan tourism circuits through an inverse-square-root sampling approach. Findings reveal that destination image (DI) significantly influences both revisit intention (RI) (β = 0.458, p = 0.001) and tourism satisfaction (TS) (β = 0.497, p = 0.000), emphasizing the role of tourist perceptions in shaping return behavior. Infrastructure value (IV) emerges as the strongest determinant, exerting the highest influence on RI (β = 0.472) and a notable impact on TS (β = 0.258), indicating the critical role of well-developed infrastructure in fostering positive experiences. Contrarily, Post-COVID Service Quality (PCSQ) exhibits no significant effect on RI (β = 0.032, p = 0.725), though it moderately influences TS (β = 0.293, p = 0.001), suggesting that while enhanced service quality boosts satisfaction, it is not a primary driver of repeat visits. Additionally, findings indicate low affective and cognitive risk perceptions among tourists, with adherence to health and hygiene protocols mitigating pandemic-related concerns. The study underscores the necessity of destination branding, infrastructure enhancement, and experience-driven strategies to reinforce tourist loyalty in the post-pandemic tourism landscape.

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Factors Affecting Tourists Regional Revisit Intention in Post-COVID-19 Situation: Validating Results with Structural Equation Model (SEM)

  • 会议论文

  • 发表日期：

    2026年

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  • Sayantani Paul,
  • Payel Bhattacharyay,
  • Adrika Mukhopadhyay,
  • Annesha Dubey,
  • Subir Roy,
  • Kartik Pramanik,
  • Shyamal Santra,
  • Jayanta Saha,
  • Subhasis Bhattacharya,
  • Suman Paul

摘要

The COVID-19 pandemic severely impacted the global economy, with the tourism sector suffering losses of nearly $4 trillion. In the post-pandemic era, understanding factors influencing regional travel and revisit intentions is critical for sustainable tourism recovery. This study examines tourists’ perceptions and revisit propensities in Purulia, West Bengal, India, using partial least squares structural equation modeling (PLS-SEM). A total of 275 structured questionnaires were collected across Ajodhya, Panchakot, and Bundwan tourism circuits through an inverse-square-root sampling approach. Findings reveal that destination image (DI) significantly influences both revisit intention (RI) (β = 0.458, p = 0.001) and tourism satisfaction (TS) (β = 0.497, p = 0.000), emphasizing the role of tourist perceptions in shaping return behavior. Infrastructure value (IV) emerges as the strongest determinant, exerting the highest influence on RI (β = 0.472) and a notable impact on TS (β = 0.258), indicating the critical role of well-developed infrastructure in fostering positive experiences. Contrarily, Post-COVID Service Quality (PCSQ) exhibits no significant effect on RI (β = 0.032, p = 0.725), though it moderately influences TS (β = 0.293, p = 0.001), suggesting that while enhanced service quality boosts satisfaction, it is not a primary driver of repeat visits. Additionally, findings indicate low affective and cognitive risk perceptions among tourists, with adherence to health and hygiene protocols mitigating pandemic-related concerns. The study underscores the necessity of destination branding, infrastructure enhancement, and experience-driven strategies to reinforce tourist loyalty in the post-pandemic tourism landscape.