Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

• Published in: Discrete dynamics in nature and society Vol. 2020; no. 2020; pp. 1 - 15
• Main Authors: Maimaituerxun, Mukasar, Zhang, Han, Wei, Zejun, Geng, Yuqing
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Air pollution; Analysis; Climate change; Coordination; Coupling; Ecotourism; Entropy (Information theory); Industrialized nations; Outdoor air quality; Subsystems; Sustainability; Tourism; Travel industry; Variations; China; Yangtze River
• ISSN: 1026-0226; 1607-887X
• DOI: 10.1155/2020/1406978

The results show that the comprehensive development degree (CDD) of the tourism-air environment system mainly maintains stable with fluctuation and the gap among different reaches in the Zone is declining; the coupling coordination degree’s (CCD) tendency in most regions remains similar as in the previous decade. The results illustrate that the method combing information entropy weight and the technique for order preference by similarity to an ideal solution (IEW-TOPSIS), coupling coordination degree model (CCDM), and gray GM (1, 1) prediction model is effective in evaluating the coupling coordination relationship between the subsystems of tourism and air environment and in proposing specific countermeasures for tourism development and air environment governance.