Abstract
This paper proposes to establish a more robust and flexible framework to formulate the cruise tourism prosperity index (CTPI), which can predict the supply and demand of the cruise industry. However, the use of indicators and cycle selection solves this challenge by incorporating indicators into predictive models. In this paper, CTPI in China from 2010 to 2018 is constructed and evaluated by principal component analysis. Then future development is predicted. Finally, the prediction results show consistency between projected results and actual developments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Su, P., Qi, L.: A study on the globalization strategies of China’s cruise tourism market under the “belt and road” initiative. In: Report on the Development of Cruise Industry in China, pp. 171–185. Springer, Singapore (2019). https://doi.org/10.1007/978-981-15-4661-7_9
Lam, J., Cullinane, K., Lee, P.T.-W.: The 21st-century Maritime Silk Road: challenges and opportunities for transport management and practice. Transp. Rev. 38(4), 413–415 (2018). https://doi.org/10.1080/01441647.2018.1453562
Ministry of Transport of the People's Republic of China Homepage. http://xxgk.mot.gov.cn/jigou/zhghs/201504/t20150422_2976271.html
Wang, H., Shi, J., Mei, J.: Research on the development of the world’s cruise industry during 2017–2018: strong demands stimulate the sustainable high growth. In: Report on the Development of Cruise Industry in China, pp. 3–35. Springer, Singapore(2018)
Sun, X., Jiao, Y., Tian, P.: Marketing research and revenue optimization for the cruise industry: a concise review. Int. J. Hosp. Manag. 30(3), 746–755 (2011)
Brida, J.G., Pulina, M., Riaño, E., et al.: Cruise passengers in a homeport: amarket analysis. Tour. Geogr. 15(1), 68–87 (2013)
Cai, X., Niu, Y.: Analysis on development potential of China’s cruise tourism industry. Prog. Geogr. 29(10), 1273–1278 (2010)
Gabe, T., Lynch, C., McConnon, J., et al.: Economic impact of cruise ship passengers in Bar Harbor. Maine (2003)
Wang, H., Ye, X., Cao, S.: Active connection to “the belt and road” initiative to enable the great-leap-forward development of Shanghai cruise economy. In: Wang, H. (ed.) Report on China’s Cruise Industry, pp. 77–90. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-8165-1_3
Wong, K.K.F.: The relevance of business cycles in forecasting international tourist arrivals. Tour. Manage. 18(8), 581–586 (1997)
Turner, L., Kulendran, N., Fernando, H.: The use of composite national indicators for tourism forecasting. Tour. Econ. 3(4), 309–317 (1997)
Xiaoning, N., Bin, D.: evaluation and analysis research of composite index on tourist industry of China. J. Beijing Int. Stud. Univ. 11, 11 (2007)
Dai, B., Yan X., Huang, X.: A study on the industry cycle index of China's travel services. Tour. Tribune 9 (2007)
Xinfeng, W.: An Empirical Research of China’s Tourism Prosperity Index [J]. Statistical Education 11, 55–60 (2010)
Tang, C.C.: Evaluation of the tourism prosperity index and its promotion for heritage sites in China. Resour. Sci 35, 2344–2351 (2013)
Acknowledgment
The work is supported by the Philosophy and Social Sciences Project for Colleges and Universities in Jiangsu Province (Nos. 2019SJA0649).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Sheng, F., Zhang, Y., Jiang, H., Ma, G. (2021). Cruise Tourism Prosperity Index Based on Principal Component Analysis. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-82562-1_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-82561-4
Online ISBN: 978-3-030-82562-1
eBook Packages: Computer ScienceComputer Science (R0)