Research on the forecast of tourism reception consumption trend – Taking Shandong Province as an example

Diao Yanhua

doi:10.1051/e3sconf/202125101083

All issues

Volume 251 (2021)

E3S Web Conf., 251 (2021) 01083

References

Open Access

Issue		E3S Web Conf. Volume 251, 2021 2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)


Article Number		01083
Number of page(s)		5
Section		Analysis of Energy Industry Economy and Consumption Structure Model
DOI		https://doi.org/10.1051/e3sconf/202125101083
Published online		15 April 2021

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[1] Turner, L. (1997). The use of composite national indicators for tourism forecasting. Tourism Economics, 3(4):309–303. [Google Scholar]

[2] Dai, B., Yan, X., Huang, X. (2007) Study on Indexation of China’s Travel Service Industry’s Business Cycle. Tourism Tribune, 22(9):35–22. [Google Scholar]

[3] Tang C.C. (2013). Evaluation and promotion model of tourism climate index in Chinese heritage sites. Resources Science, 35(12):344–335. [Google Scholar]

[4] Li, X., Pan, B., Law, R. (2017). Forecasting tourism demand with composite search index. Tourism Management, 59(4):57–59. [Google Scholar]

[5] Ren, L., Cui, D.J. (2014). Prediction of Domestic Tourist Flow Based on Internet Search Data -- A Case Study of Beijing’s Domestic Tourist Flow. Exploration of Economic Problems, 4:67–73. [Google Scholar]

[6] Wei, J.R., Cui, H.M. (2018). Research on regional tourism index and its micro-dynamics based on Internet search data: A case study of Xi ’an, System science and mathematics, 38 (02): 177–194. [Google Scholar]

[7] Fan, G.J. (2010) Tourism Destination Number Prediction Based on Markov Model. Statistics and Decision, 21:98–100. [Google Scholar]

[8] He J., Zhang Y.L. (2015) Tourism revenue prediction of Henan Province based on optimized grey-Markov chain. Henan Science and Technology, 4:686–690. [Google Scholar]

[9] Tang, R. (2015) Analysis on the tourism consumption structure of domestic tourists to Shanghai based on Markov prediction. Tourism Forum, 1:38–45. [Google Scholar]