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A STUDY ON QUALITY OF TOUR LIFE AND EXPECTATIONS OF TOURISTS WITH SPECIAL REFERENCE TO TIRUNELVELI DISTRICT OF TAMIL NADU

. K. Sankaranarayanan Ph.D Research Scholar in Economics (Part-Time) The M.D.T. Hindu College, Tirunelveli Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli – 627012, Tamil Nadu, India


Abstract

The economic and cultural progress of humanity depends on tourism. Tourism is generally considered a smoke-free business. Tourists need to be enticed and inspired to visit if the industry expands. Consequently, the current research focuses on the experience of domestic tourists in Tirunelveli and what they might expect from their trip there. The investigation, which was a success, drew on both primary and secondary sources of information. Secondary data was gleaned from academic journals, newspaper articles and bulletins. Calculations were made using percentages, standard deviations, Garret ranking approaches, t-tests, chi-square tests, and probability analyses. The report states that the availability of low-cost travel is the most critical expectation, coming in at number one. The next step is to see any meals available at the tour stop. The cleanliness of the tour area is the third major assumption. Fourth and fifth on the list of travellers want more security and better infrastructure. Complimentary access to a wide range of information is ranked as the sixth most important feature. At a 5 percent level, the research shows a correlation between tourist satisfaction and socio-economic variables like age, marital status and monthly personal income. The remaining socio-economic variables, such as gender, family size, and educational achievement, do not significantly impact satisfaction with tourism facilities and services at the 5% level. Consequently, the null hypothesis has been accepted for these variables. For this study, the 't' value was calculated to determine whether or not there was a significant difference in expectations among sample respondents depending on their gender classification. There is no substantial variation in the sample respondents' expectations based on gender status. Hence the null hypothesis is accepted.

Keywords: tourism, support facilities, revenue growth, marketing activities, environmental change.

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