Jaipuria International Journal of Management Research

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Using Logistic Regression to Estimate the Customer Value for Transport and Hospitality Services


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1 Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India
     

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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.


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  • Using Logistic Regression to Estimate the Customer Value for Transport and Hospitality Services

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Authors

Archana
Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India
Ilavarasan
Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India
P. Vigneswara
Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India

Abstract


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.


References





DOI: https://doi.org/10.22552/jijmr%2F2018%2Fv4%2Fi1%2F170903