The purpose of this paper is to implement a model for predicting the mode of transportation used by the tourists in India. The paper is based on a machine learning approach, namely logistic regression, which targets to analyse the behaviour of tourists in India. The data for the model was taken from the 72nd survey by NSSO which was conducted to understand the travel patterns of Indian tourists. The paper identifies certain key parameters which can help in knowing the consumer needs. These findings will be helpful for various businesses within the tourism sector and will aid them in coming up with better informed products and services.

Most of the tourism related literature fails to consider on the impact of cultural and social factors on the choice or decisions made by tourists. The paper takes into consideration these aspects.

For full text of this article, Contact Mr. Jitender Sharma at jitender.sharma@jaipuria.ac.in

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