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Comprehensive partitions and optimisation strategies based on tourism urbanisation and resources environment carrying capacity in the Yellow River Basin, China
- Source :
- Environmental Science and Pollution Research International
- Publication Year :
- 2021
- Publisher :
- Springer Berlin Heidelberg, 2021.
-
Abstract
- A better understanding of the spatial coordination relationship between tourism urbanisation and resources environment carrying capacity (RECC) is vital for the regional selection of key eco-liveable tourist cities in the Yellow River Basin. This study addressed this research issue by evaluating and partitioning tourism urbanisation level and RECC of the Yellow River Basin in 2005, 2011, and 2018 using a geographic information system (GIS) technology, spatial autocorrelation model, and partition method. Empirical results suggest that the tourism urbanisation level of Shaanxi Province maintains its leading position, while Shanxi Province has great development potential. The high-value areas of RECC are concentrated in Gansu, Inner Mongolia, and Shandong provinces. The degree of spatial agglomeration of the tourism urbanisation level and RECC has been improved. The RECC exhibits a greater restrictive effect on the current high-level areas of tourism urbanisation, and the spatial correspondence between them is weak. Based on the findings of this study, a series of optimisation strategies have been proposed to promote the sustainable development of tourism urbanisation in the Yellow River Basin.
- Subjects :
- China
Conservation of Natural Resources
Geographic information system
Partitions
Health, Toxicology and Mutagenesis
Resources environment carrying capacity
Drainage basin
Tourism
Rivers
Urbanization
Environmental Chemistry
Carrying capacity
Spatial analysis
Tourism urbanisation
Sustainable development
geography
geography.geographical_feature_category
business.industry
Environmental resource management
General Medicine
Pollution
Yellow River Basin
Optimisation strategies
business
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 16147499 and 09441344
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research International
- Accession number :
- edsair.doi.dedup.....5815aa34d56fcd6ba35f184d24baad3d