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Spatial Differentiation and Integration Optimization of an Urban Agglomeration Tourism System under the Influence of High-Speed Railway Network Evolution

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Abstract

This study constructs tourism spatial gravity models with multi-destination and multi-origin interaction conditions, using consumer utility and travel probability theories. It also explores, through spatial correlation methods, the spatial differentiation characteristics of the tourism system in an urban agglomeration under the influence of a high-speed railway network from the perspectives of city tourism competitiveness and resident travel potential. The research finds that the high-speed railway has an increasing influence on the urban agglomeration tourism system, widening the hierarchical difference and causing the reverse balance to have an integration effect. The influence of high-speed railways has the obvious cluster node and corridor lock-in effect, which has strengthened the core-peripheral structure of the urban agglomeration tourism system. Peripheral cities with high-speed railways are more obviously affected, but their ranking-order changes in the urban agglomeration tourism system are not significant because of comprehensive location weaknesses. Because of the complex spatial differentiation, researchers need to use multi-spatial statistical methods to carry out integrated studies and obtain useful optimization strategies.

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Acknowledgements

This work is supported by the National Social Science Foundation of China (Grant no. 17BGL123), the National Natural Science Foundation of China (Grant no. 41671151) and the Key projects of China National Tourism Administration Research Foundation (Grant no. 16TAAK004).

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Huang, T., Xi, JC. & Ge, QS. Spatial Differentiation and Integration Optimization of an Urban Agglomeration Tourism System under the Influence of High-Speed Railway Network Evolution. Appl. Spatial Analysis 12, 349–376 (2019). https://doi.org/10.1007/s12061-017-9245-3

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