Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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COVID-19 Based on Big Data Analysis Research on the Influence and Countermeasures of 5A Tourist Attractions in Jiangsu Province

Authors
Hong-ying Zhang1, *
1Department Tourism Management, Wuxi Vocational Institute of Commerce, Wuxi, 214153, China
*Corresponding author. Email: 331956419@qq.com
Corresponding Author
Hong-ying Zhang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_65How to use a DOI?
Keywords
Big data; COVID-19; 5A tourist attractions; Countermeasure
Abstract

The sensitive vulnerability of tourism determines that it is vulnerable to natural, social, economic and other aspects. As a sudden public health event, the outbreak of COVID-19 has a serious impact on the domestic and foreign tourism industry. As the core element of tourism, scenic spot is one of the focuses of tourists. This paper systematically analyzes COVID-19 epidemic impact on tourist attractions, and through Baidu index network attention analysis, and statistics of Jiangsu culture and Tourism Department, analyzes the epidemic situation, which has an important impact on the 5A level tourism attractions in Jiangsu, including tourism attention, number of tourists, tourism income and tourism employment. It also analyzes the role of various forces in the process of epidemic prevention in scenic spots, and puts forward new countermeasures for the development of tourist attractions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_65
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_65How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hong-ying Zhang
PY  - 2022
DA  - 2022/12/27
TI  - COVID-19 Based on Big Data Analysis Research on the Influence and Countermeasures of 5A Tourist Attractions in Jiangsu Province
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 636
EP  - 647
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_65
DO  - 10.2991/978-94-6463-064-0_65
ID  - Zhang2022
ER  -