From Tourist Destination Image Perception to Optimization of Scenic Area Operation and Management
Taking Guilin Rongchuang International Tourism Resort as an Example
- DOI
- 10.2991/978-94-6463-038-1_59How to use a DOI?
- Keywords
- Scenic area operation and management; Destination image perception; Rongchuang
- Abstract
Nowadays, the rapid development of the internet has enabled the managers of scenic areas to use big data to know how tourists perceive the tourist image of scenic areas, so that they can optimise and adjust their own operation and management strategies. Therefore, the article adopts the content analysis method, with the help of Octopus collector and ROST CM6.0 software, and takes the tourists’ reviews posted on Ctrip as the original data, based on the “cognitive-emotional” model, it analyzes the tourists’ cognitive image, emotional image and composite image of Guilin Rongchuang International Tourism Resort in depth, and further analyses the reasons for the negative emotions of tourists, with a view to providing a reference for the optimization of the operation and management of this scenic area.
- 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
TY - CONF AU - Yaxuan Deng PY - 2022 DA - 2022/12/15 TI - From Tourist Destination Image Perception to Optimization of Scenic Area Operation and Management BT - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022) PB - Atlantis Press SP - 630 EP - 637 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-038-1_59 DO - 10.2991/978-94-6463-038-1_59 ID - Deng2022 ER -