The Tourism Infrastructure of Rural Areas and Its Relationship with Visitor Satisfaction at the Tourist Destination Incorporating Neutrosophic Analysis of Uncertainty

Abstract

This study examined how several predictor variables, such as lodging, transportation, natural resources, telecommunications, and cultural values, related to how satisfied people were with tourist destinations in rural areas. Data from 647 travelers was evaluated using a multiple linear regression technique. The findings showed that visitor destination satisfaction correlates significantly with all predictor variables. In particular, the biggest influence was found in cultural values, which were followed by transportation and natural resources. These results provide a thorough grasp of the elements influencing visitor happiness at tourist destinations, giving managers useful information for enhancing the experience of tourists. This study developed gender-specific predictive models to account for unique group characteristics, generating tailored predictions with enhanced precision. The results highlight differences in prediction intervals and neutrosophic uncertainty, emphasizing the impact of gender on model performance and accuracy. It is advised that more research be done to confirm and expand on these findings and investigate additional potential factors that may affect visitor happiness.