Research on Tourism Experience of Tourists in Natural Resource-based Scenic Spots in the Context of Big Data

DOI

10.2991/978-94-6463-490-7_17How to use a DOI?

Keywords

tourism experience; natural resource-based scenic spot; big data

Abstract

Exploring the optimization strategies of natural resource-based attractions from the Perspective of tourist experience, It is of great significance to enhance the quality of tourists’ experience and promote the sustainable development of scenic spots. The article takes Huangguoshu Waterfall as the case location, adopts the network text analysis method, applies big data to analyze the online reviews and travelogues of Ctrip. The results show that the scenic area should be optimized and improved in three aspects: increasing the scenic experience projects, controlling the number of tourists and improving the quality of scenic services.

Copyright

© 2024 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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TY  - CONF
AU  - Yuanda Wu
PY  - 2024
DA  - 2024/08/31
TI  - Research on Tourism Experience of Tourists in Natural Resource-based Scenic Spots in the Context of Big Data
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 149
EP  - 155
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_17
DO  - 10.2991/978-94-6463-490-7_17
ID  - Wu2024
ER  -