Study on the tourism spatial structure of Qinghai Province based on the accessibility of all-area self-driving tourism
YIN Xiuxiu1， YE Chiyue1， LIN Xiongbin1， LI Jialin1， GAO Xingchuan2
1.Department of Geography and Space Information Technology， Ningbo University， Ningbo， Zhejiang 315211， China；2.College of Tourism and Environment， Shaanxi Normal Univerity， Xi’an 710119， China
Abstract：A better coordination between scenic spots and self-driving camps at the county level is significant for tourism development. In this paper， 106 A-level scenic spots and 43 self-driving camps are included to measure the accessibility of scenic spots and spatial distribution feature by self-driving transport in Qinghai's tourism market. The result shows as follows. 1) The Qinghai tourism spatial structure presents a concentrated distribution pattern， with Xining city as the nodal point of the tourism corridor. The spatial distribution pattern of scenic spots and campsites is evolving toward the south and west. The average access time of A-level scenic spots and self-driving camp is 2.47 h and 3.35 h， respectively. 2) The degree of coupling coordination and accessibility of self-driving camps is consistent with that of A-level scenic spots， while that of medium and low accessibility area is relatively low. 3) The self-driving camp and A-level scenic spots are highly clustered in the core cities of Qinghai such as Xining and surroundings. In order to enhance the accessibility of tourist attractions based on self-driving and to reshape the tourism spatial structure of Qinghai province， more investments should be secured to construct self-drive camps in low accessible regions.
尹秀秀,叶持跃,林雄斌,李加林,高兴川. 基于全域自驾游可达性的青海省旅游空间结构研究[J]. 华中师范大学学报(自然科学版), 2019, 53(2): 298-308.
YIN Xiuxiu,YE Chiyue,LIN Xiongbin,LI Jialin,GAO Xingchuan. Study on the tourism spatial structure of Qinghai Province based on the accessibility of all-area self-driving tourism. journal1, 2019, 53(2): 298-308.
2019, Vol. 53 
