Tourism location selection by logistic model

Abstract

Tourism is the change in environment. Tourism positively effects on human life. It gives an opportunity to have a break from ones monotonous life. Tourism also has impact on national economy of a country in a large scale. Economy of any country of the world survives on tourism. The attraction of mass population plays a vital role behind the success of a tourist spot. This can be easily grown by promoting the positive impact of tourism in human life. By providing cost effective and highly flexible package people can be easily attracted towards tourism. Cox’s Bazar, Kuakata and Jaflong can be developed as a promising tourist spot. Cox’s Bazar, Kuakata and Jaflong are well known for their natural beauty. So by taking necessary strides these locations can be built as a heaven for tourist. This dissertation has aimed to formulate a binary logistic model that has considered the criteria, such as age, sex, educational qualification, income, accommodation, transportation, security etc. It is assumed that these attributes play an important role to attract the people for location selection. In order to validate the model we conduct a questionnaire survey data collected from the areas in Cox’s Bazar, Kuakata and Jaflong. The location selection is developed by using the logistic model. The formulated binary logistic regression model that has been developed specifically for analyzing relationships between dichotomous dependent variables and independent variables. Then we have solved the binary logistic model, where we shall validate the model by estimating the parameters. The coefficients of variable that is found to be statistically significant are considered. The significant level is determined by P value and value, where P value validated our data and value validated our model. In order to test the significant level of the model Hosmer and Lemeshow test, Omnibus test have been deployed.