An Empirical Analysis on Scenic Spots’ High-Quality Development Under the Background of Smart Tourism – Based on Fuzzy Comprehensive Evaluation Method
- DOI
- 10.2991/978-94-6463-030-5_129How to use a DOI?
- Keywords
- Smart Tourism; High-Quality Development of Scenic Spots; Evaluation Index System; Fuzzy Comprehensive Evaluation; Digital Scenic Spot
- Abstract
Internet technology has helped transform China’s tourism industry from traditional tourism to smart tourism. High-quality development of tourist attractions is the main content of China’s smart tourism construction. Based on the concept and connotation of high-quality development of scenic spots, this paper constructs the evaluation index system of high-quality development of scenic spots, and empirically analyzes the high-quality development level of Qingchengshan-Dujiangyan scenic spots by using fuzzy comprehensive evaluation method. According to the empirical results, this paper puts forward targeted suggestions for the scenic spots.
- 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 - Xue Xia AU - Nenghui Luo AU - Yanxiu Liu AU - Genjin Sun PY - 2022 DA - 2022/12/20 TI - An Empirical Analysis on Scenic Spots’ High-Quality Development Under the Background of Smart Tourism – Based on Fuzzy Comprehensive Evaluation Method BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1297 EP - 1305 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_129 DO - 10.2991/978-94-6463-030-5_129 ID - Xia2022 ER -