Abstract
As tourism is increasing incredible in day by day which helps in growth of GDP, Business opportunities and Job opportunities. There are countries who actually work over countries tourism growth by launching different discounts and package schemes in peak and semi peak seasons. Also review at different travel site would help people to select a best destination within the budget. Through this paper we are proposing some facts and figures of top 10 best countries of the world within the budget of $500. It also emphasize on the major criteria for travelling like Nature, Culture, Entertainment and Temperature in top best destinations countries.
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References
Vargas Sanchez, A., Abate, T., Perano, M.: Smart destinations: towards a more sustainable tourism industry. In: Electronic Conference Proceedings Management and Sustainability: Creating Shared Value in the Digital Era, Sapienza University, Roma, Italy, 20–21 June 2019. ISBN 97888943937-4-3
GarcÃa Palomares, J.C., Gutiérrez, J., MÃnguez, C.: Ranking world tourist destinations with a composite indicator of competitiveness: to weigh or not to weigh? Tour. Manag. 72, 281–291 (2019)
Kim, Y., Kim, C., Lee, D.K., Lee, H., Andrada, R.I.T.: Quantifying nature-based tourism in protected areas in developing countries by using social big data. Tour. Manag. 72, 249–256 (2019)
Destination2030: Global Cities’ Readiness for Tourism Growth. https://www.wttc.org/publications/2019/destination-2030/
City Travel & Tourisms Impact 2108, World tourism and travel council. https://www.wttc.org/media/files/reports/economic-impact-research/cities-2018/city-travel--tourism-impact-2018final.pdf
Li, J., Xu, L., Tang, L., Wang, S., Li, L.: Big data in tourism research: a literature review. Tour. Manag. 68, 301–323 (2018)
Jasroti, A., Gangotia, A.: Smart cities to smart tourism destinations: a review paper. J. Tour. Intell. Smartness 1(1), 47–56 (2018)
Mukherjee, S., Adhikari, A., Datta, B.: Quality of tourism destination – a scale development. J. Indian Bus. Res. JIBR 10(1), 70–100 (2018)
Miah, S.J., Vu, H.Q., Gammack, J., McGrath, M.: A big data analytics method for tourist behaviour analysis. Inf. Manag. 54(6), 771–785 (2017)
Vengesayi, S., Mavondo, F., Reisinger, Y.: Tourism destination attractiveness: attractions, facilities, and people as predictors. Tour. Anal. 14, 621–636 (2009)
https://www.wttc.org/-/media/files/reports/2018/power-and-performance-rankings-2018.pdf
http://tourism.gov.in/sites/default/files/Other/ITS_Glance_2018_Eng_Version_for_Mail.pdf
https://earthnworld.com/most-visited-countries-in-the-world/
https://www.indexmundi.com/facts/indicators/ST.INT.ARVL/rankings6
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Srivastava, S., Sharda, S., Ranjan, A. (2020). An Explicit Analysis of Best Tourist Destinations. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6_13
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DOI: https://doi.org/10.1007/978-981-15-5830-6_13
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