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An Exploratory Analysis of Foreign Tourist Visits for Indian State Attractions Using Multinomial Logistic Regression Technique

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 9))

Abstract

India attracts good amount foreign tourists for its rich heritage and cultural destinations. Several states in India spend efforts to promote and market their tourist destinations. Ministry of Tourism publishes the number of foreign tourist visitors on an aggregated basis per state. The tourist destination in states such as Tamil Nadu, Maharashtra, Uttar Pradesh and Delhi is highly skewed in positively attracting foreign visitors. The paper analyzes the pattern and understands the relevance of such skew on attractions using data from travel review sites such as tripadvisor. The dataset is fused with visitor statistics from government data sources. This paper also explores an approach to predict the degree of the number of visitors per attraction in a particular state using multinomial logistic regression technique. The experiment results are presented and discussed for further studies.

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References

  1. Government of India, Ministry of Tourism. http://www.tourism.nic.in/

  2. UNESCO World Heritage List. http://whc.unesco.org/en/list

  3. World Economic Forum, Travel and Tourism Competitiveness Report 2015. http://reports.weforum.org/travel-and-tourism-competitiveness-report-2015/economy-rankings/

  4. Tripadvisor, Key Findings: The Global Economic Contribution of TripAdvisor study. https://www.tripadvisor.com/TripAdvisorInsights/n2687/key-findings-global-economic-contribution-tripadvisor-study

  5. National Park Services, Measuring Probabilities in Attraction Visitors. https://www.nps.gov/tourism/ResearchTrendsandDatainfo/measuringprobabilitiesinattractionvisitors.pdf

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Correspondence to Hari Bhaskar Sankaranarayanan .

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Sankaranarayanan, H.B. (2018). An Exploratory Analysis of Foreign Tourist Visits for Indian State Attractions Using Multinomial Logistic Regression Technique. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-3932-4_28

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  • DOI: https://doi.org/10.1007/978-981-10-3932-4_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3931-7

  • Online ISBN: 978-981-10-3932-4

  • eBook Packages: EngineeringEngineering (R0)

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