A Study on the Innovative Model of Health and Wellness Tourism Characteristic Towns Based on the SWOT-AHP Model
—By Taking Changchun City as an Example
- DOI
- 10.2991/978-94-6463-578-2_4How to use a DOI?
- Keywords
- Health and Wellness Tourism; SWOT-AHP Model; Characteristic Town; Innovative Paths
- Abstract
As China enters and is anticipated to remain in a long-term aging phase, along with an increasing demand for high-quality lifestyles, the emergence of towns with health and wellness tourism as their leading industry has been observed. In this thesis, the SWOT-AHP model analytical framework is utilized, with data being obtained through questionnaire surveys and field research, to conduct an analysis of the strengths, weaknesses, opportunities, and threats in the high-quality development of health and wellness tourism characteristic towns in Changchun City. An assessment of the importance of various indicators is also conducted through weighting. Drawing on the successful development experiences of domestic health and wellness tourism characteristic towns, a design innovation path for the development of such towns in Changchun City is proposed.
- 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.
Cite this article
TY - CONF AU - Lisheng Chen PY - 2024 DA - 2024/12/01 TI - A Study on the Innovative Model of Health and Wellness Tourism Characteristic Towns Based on the SWOT-AHP Model BT - Proceedings of the 2024 International Conference on Artificial Intelligence and Digital Management (ICAIDM 2024) PB - Atlantis Press SP - 19 EP - 25 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-578-2_4 DO - 10.2991/978-94-6463-578-2_4 ID - Chen2024 ER -