基于景区抖音粉丝关注度的长江经济带旅游经济空间结构及其影响因素分析

基于A级以上旅游景区的抖音粉丝量数据，运用空间分类、核密度、最邻近指数等研究方法，对长江经济带旅游经济空间格局进行分析，并探究其影响因素.研究发现：1) 从空间分异看，各省、市的旅游经济发育水平存在差异，其中上海、湖南、湖北等地的景区网络化水平较高，而四川、安徽等地较低.同时，从格局分布看，较高及高关注度景区在江浙沪一带呈集聚分布，在四川成都呈孤立分布，中低关注度景区分布范围广，但整体上东密西疏.2) 从空间集聚看，整体呈现出“双核引领，多点驱动”的结构特征.3) 从空间结构看，中高关注度景区在空间上呈均匀型分布，低、较低关注度景区呈集聚型分布.从集中程度来看，上海、江西、贵州的集中水平较高，而安徽、四川、重庆、湖南等地较低.4) 从虚实差异来看，景区网络关注度虽然打开了市场，但由于发展差距过大，导致整体发育水平并不高.5) 从各因子的影响力度来看，宣传力度以及实体建设水平对地区网络旅游经济的解释程度较高，经济支撑力、网络化水平次之，交通条件及服务水平的解释力较小.

An analysis of the spatial structure and influencing factors of tourism economy in Yangtze River Economic Belt based on Douyin fans attenton of scenic spot

Based on the data of Douyin fans in scenic spots above Grade A， in this paper， the spatial pattern of tourism economy in Yangtze River Economic Belt is studied and the influencing factors are explored by using spatial classification， kernel density， nearest neighbor index. The results are shown as follows. Firstly， from the spatial distribution pattern， there are differences in the development level of tourism economy in studied regions. In detail， the network level of scenic spots in Shanghai， Hunan and Hubei is higher， while in Sichuan and Anhui is lower. In the meantime， the result of pattern distribution shows that high attention level scenic spots are clustered in the area of Jiangsu， Zhejiang and Shanghai， while isolated in Chengdu. The middle-value and low-value units are widely distributed， but on the whole， they are tight in the east and loose in the west. Secondly， from the spatial agglomeration pattern， the overall level of network attention of scenic spots shows the structural characteristics of “dual core leading， multi-core driving”. Thirdly， from the spatial structure feature， the middle-value and high-value attention scenic spots were evenly distributed in space， while the low-value and lower-value scenic spots are clustered. Fourthly， from the perpective of the difference between the virtual and real development of scenic spots， athough the network attention has opened the market， the overall development level is not high due to the large development gap.Fifthly， from the influencing factors， publicity strength and the quality of the entity construction has a high degree of interpretation to the regional network tourism economy. Economic support and networking level are the secondary important factors， while traffic condition and service level has less explanatory power.