Abstract
Tourism data of 26 cities in the Yangtze River Delta of 2017 are summarized and counted. Method of Analytic Hierarchy Process is used to construct a three-level indicator system, including three secondary indicators such as scale of the tourism industry, number of tourists and tourism income and a number of three-level indicators. And then weight of each indicator is determined, the original data are standardized, and tourism development level score of each city is calculated. Finally, 26 cities are divided into 5 types by cluster analysis and characteristics of each type of cities are analyzed and evaluated.
Highlights
Yangtze River Delta region is one of the most dynamic, open and innovative regions in China and is an important intersection zone between “Belt and Road” and the Yangtze River economic belt
According to the “Development Plan of the Yangtze River Delta Urban Agglomeration” in June 2016 (NDRC, 2016), the Yangtze River Delta urban agglomeration consists of 26 cities concluding Shanghai city and some cities of Jiangsu Province, Zhejiang Province and Anhui Province such as Nanjing, Hangzhou and Hefei, with a land area of 211,700 square kilometers (Figure 1)
Tourism development level is a comprehensive concept involved with several factors
Summary
Yangtze River Delta region is one of the most dynamic, open and innovative regions in China and is an important intersection zone between “Belt and Road” and the Yangtze River economic belt. It plays an important role in the overall situation of national modernization and the all-round opening pattern. As for tourism development, based on rich tourism resources with unique Jiangnan characteristics, modern urban features, historical and cultural heritage, good tour-. Because of great differences in tourism resource endowment, infrastructure and social economy, tourism economy development among these cities is uneven (Zhan, 2018). Tourism data of these cities of 2017 were counted and tourism development level of these cities was analyzed and evaluated by analytic hierarchy process and clustering methodology
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
