Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

<Previous Article In Volume
Next Article In Volume>

Research on Visitor Experience of Movie and Television Theme Parks Based on Data Mining—Taking China Tangcheng as an Example

Authors
Hang Yu1, *
1School of Tourism and Landscape Architecture, Guilin University of Technology, Guilin, China
*Corresponding author. Email: 812531821@qq.com
Corresponding Author
Hang Yu
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_141How to use a DOI?
Keywords
Data Mining; Tourism Experience; Film and Television Theme Park; China Tangcheng
Abstract

Based on big data mining technology, we crawled the review texts and related data about China Tangcheng on Ctrip website, built a web review database, used content analysis method and theme analysis method to extract the core elements affecting the tourist experience of China Tangcheng, and then used IPA analysis method to evaluate the quality of tourism experience for each element. The results show that the evaluation elements of tourism experience quality of Tangcheng Film and Television City contain 4 main categories of infrastructure, tourism service, experience service and tourism environment and 14 sub-categories; IPA analysis finds that the performance of each tourism experience element with high importance value is generally better, and there are large differences in both importance and performance of each element; tourism route, guide service, public facilities, film and television shooting, and scenic spot price are the core of tourism experience enhancement. On this basis, suggestions for optimizing the tourism experience of China Tangcheng Film and Television City are put forward to provide scientific reference for the construction and development of tourism experience.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_141
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_141How 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  - Hang Yu
PY  - 2023
DA  - 2023/08/10
TI  - Research on Visitor Experience of Movie and Television Theme Parks Based on Data Mining—Taking China Tangcheng as an Example
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1353
EP  - 1361
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_141
DO  - 10.2991/978-94-6463-198-2_141
ID  - Yu2023
ER  -