ZHU Zhenmei,HUANG Ping,FAN XiaoQing,et al.Comprehensive Evaluation of the Health Care Index of “China Natural Oxygen Bar” in Sichuan Province[J].Journal of Chengdu University of Information Technology,2023,38(04):478-483.[doi:10.16836/j.cnki.jcuit.2023.04.016]
四川省“中国天然氧吧”地区康养指数的综合评价
- Title:
- Comprehensive Evaluation of the Health Care Index of “China Natural Oxygen Bar” in Sichuan Province
- 文章编号:
- 2096-1618(2023)04-0478-06
- 分类号:
- P49
- 文献标志码:
- A
- 摘要:
- 由于大众对自身健康投资的需求激增, 健康游成为消费者关注的重要因素, 疗愈式康养旅游兴起。为提升四川省各地区的康养旅游核心竞争力, 更好地帮助人们进行度假、旅游、康养活动, 采用文献研究法、专家打分法和层次分析法对四川省已经获批为“中国天然氧吧”的14个地区开展康养指数综合评价, 结合ArcGis软件对四川省“中国天然氧吧”地区进行康养评价分级。研究结果表明, 温度和空气质量指数在四川省“中国天然氧吧”地区康养指标中影响占比较大, 海拔高度影响占比较小; 四川省14个“中国天然氧吧”地区中蒲江县、荥经县2个地区为一级氧吧康养地区, 九寨沟县、沐川县等10个地区为二级氧吧康养地区, 宝兴县、泸定县2个地区为三级氧吧康养地区。
- Abstract:
- Due to the surge in public demand for their own health investment, health tourism has become an important factor of concern to consumers.In order to enhance the core competitiveness of health tourism in various regions of Sichuan Province and better help people take holiday, tourism and health activities, healing health tourism has emerged.The comprehensive evaluation of the health index of 14 regions in Sichuan Province that have been approved as “China’s Natural Oxygen Bar” was carried out by using the literature research method, expert scoring method and analytic hierarchy process, and the health evaluation and grading of the “China’s Natural Oxygen Bar” regions in Sichuan Province were carried out with ArcGis software. The results show that temperature and air quality index have a great impact on the health indicators in the “China Natural Oxygen Bar” area of Sichuan Province, while altitude has a smaller impact; among the 14 “China’s Natural Oxygen Bars” in Sichuan Province, Pujiang County and Yingjing County are Grade I oxygen bar health care areas, 10 areas such as Jiuzhaigou County and Muchuan County are Grade II oxygen bar health care areas, and Baoxing County and Luding County are Grade III oxygen bar health care areas.
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备注/Memo
收稿日期:2022-10-06
基金项目:四川省科技厅中央引导地方科技发展专项“自由探索类基础研究”资助项目(2021ZYD0019); 四川省社会科学高水平团队“旅游大数据可视化决策研究团队”成果资助项目(2015Z177); 中国气象旅游发展研究院2022年度资助项目(2022H269)
通信作者:黄萍.E-mail:hping@cuit.edu.cn