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

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Research on the Development Status of Hot Spring Tourism Resorts in Northern Guangdong Mountainous Areas from the Perspective of Data Footprint

Authors
Xinlei Wu1, *
1Business Administration Department, Heyuan Polytechnic, Heyuan, China
*Corresponding author. Email: 122088778@qq.com
Corresponding Author
Xinlei Wu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_19How to use a DOI?
Keywords
Hot Spring Tourism; Data Footprint; Rost text mining system; Mountainous areas in northern Guangdong
Abstract

In the era of experience economy, tourists attach importance to experience satisfaction, and will truly feed back and share tourism consumption feelings and evaluations through online tourism platforms. The hot spring industry in Guangdong has developed early and has a large scale, accounting for a large share of the tourism industry in Guangdong and even the whole country. Conghua, Zhuhai, Longmen, Heyuan, Shaoguan, Yunfu, Meizhou and other places have many well-known hot spring resorts. Based on the hot spring industry in the mountainous areas of northern Guangdong, this paper selects four representative hot spring resorts as the research objects. With the help of the Rost text mining system, the paper observes the network data obtained from the Ctrip, and discusses the sustainable development strategies of typical hot spring tourist destinations in the mountainous areas of northern Guangdong in combination with the development trend of cultural tourism in the post epidemic Era.

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
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_19How 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  - Xinlei Wu
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Development Status of Hot Spring Tourism Resorts in Northern Guangdong Mountainous Areas from the Perspective of Data Footprint
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 167
EP  - 174
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_19
DO  - 10.2991/978-94-6463-064-0_19
ID  - Wu2022
ER  -