| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 03020 | |
| Number of page(s) | 5 | |
| Section | Research on Earth Climate and Land and Ocean Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202125103020 | |
| Published online | 15 April 2021 | |
The forecast of the number of tourists received during the National Day period in Beijing under the background of epidemic in 2020
1 Economics major of Beijing Jiaotong University, Beijing, China
2 Economics major of Beijing Jiaotong University, Beijing, China
3 Statistics major of Beijing Jiaotong University, Beijing, China
Meng Ying Yang: 18241315@bjtu.edu.cn
Xin Liu: 18241281@bjtu.edu.cn
Hong Bin Jia: 18271246@bjtu.edu.cn
COVID-19 suddenly outbreak not only pose a threat to people’s life and health, but also interfere with the development of national economy in our country. To investigate the outbreak of the impact of tourism, we choose Beijing as the aim of the research, using autoregressive model, Fourier series model and VAR model. Finally, according to the forecast results, we concluded that outbreak brought direct effects to the Beijing tourism, but with the outbreak under control, under the condition of government’s expansionary policies, tourism economy gradually back on track.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.