Spatial differentiation and its influencing factors of national 5A tourist attractions based on GWR in China
ZHU Yongfeng1,2， HALIKE Wahap1,2， LU Longhui1,3
1.The Key Lab for Oasis Ecosystem of MOE，Xinjiang University，Urumqi 830046；2.College of Tourism Management，Xinjiang University，Urumqi 830046；3.College of Resources and Environment Science，Xinjiang University，Urumqi 830046
Abstract：With the coming of the ‘withdrawal mechanism’， local governments pay more and more attention to the sustainable development of 5A tourist attractions. This paper investigates how 5A tourist attractions are spatially distributed， and what affect they. The results show that， 1) The spatial distribution of the national 5A tourist attractions was clustered， and the degree of concentration increased gradually. 2) There was a strong spatial dependence on the distribution of 5A spots， not randomly distributed. 3) By comparing OLS and GWR model， we found GWR model had been better performance. In addition， the spatial distribution of the 5A tourist attractions was affected by the transportation， A-class tourist attractions resources， cultural resources and ecological environment in China.
朱永凤,瓦哈甫·哈力克,卢龙辉,. 基于GWR模型的中国5A级旅游景区空间异质性分析[J]. 华中师范大学学报(自然科学版), 2017, 51(3): 416-422.
ZHU Yongfeng,HALIKE Wahap,LU Longhui,. Spatial differentiation and its influencing factors of national 5A tourist attractions based on GWR in China. journal1, 2017, 51(3): 416-422.
2017, Vol. 51 
