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中国沙漠 ›› 2022, Vol. 42 ›› Issue (5): 101-113.DOI: 10.7522/j.issn.1000-694X.2022.00022

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基于网络关注度的中国沙漠型A级景区空间格局及其影响因素分析

赵芮1(), 赵恒2, 丁志伟1()   

  1. 1.河南大学 地理与环境学院/黄河中下游数字地理技术教育部重点实验室/区域发展与规划研究中心/环境与规划国家级实验教学示范中心,河南 开封 475004
    2.武警士官学校,浙江 杭州 310023
  • 收稿日期:2022-01-29 修回日期:2022-03-10 出版日期:2022-09-20 发布日期:2022-09-22
  • 通讯作者: 丁志伟
  • 作者简介:丁志伟(E-mail: dingzhiwei1216@163.com
    赵芮(1998—),女,河南浚县人,硕士研究生,主要研究方向为城市-区域综合发展。E-mail: zrui0518@163.com
  • 基金资助:
    国家自然科学基金项目(41701130);河南省高校科技创新人才支持计划项目(2021-CX-016);河南省哲学社会科学规划年度项目(2020BJJ018);河南省科技发展计划项目(212400410156);河南省社会科学界联合会调研课题(SKL-2021-2637)

Analysis on spatial pattern and influencing factors of A-level desert scenic spots in China based on network attention

Rui Zhao1(), Heng Zhao2, Zhiwei Ding1()   

  1. 1.College of Geography and Environmental Science / Ministry of Education Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions / Research Center of Regional Development and Planning / National Demonstration Center for Environment and Planning,Henan University,Kaifeng 475004,Henan,China
    2.Noncommissioned Officer Academy of PAP,Hangzhou 310023,China
  • Received:2022-01-29 Revised:2022-03-10 Online:2022-09-20 Published:2022-09-22
  • Contact: Zhiwei Ding

摘要:

基于搜索引擎指数、旅游网站指数、社交媒体指数和短视频指数等数据构建评价体系,运用空间分类、核密度估计、最邻近分析等方法,分析中国沙漠型A级景区网络关注度的空间差异并解释其影响因素。结果表明:(1)高、较高关注度水平中国沙漠型A级景区集中在内蒙古、新疆、甘肃,较低、低关注度水平景区数量多、分布广,且大多规模较小、等级偏低;从子系统看,搜索引擎、旅游网站、社交媒体子系统所显示出的空间分布格局与综合水平较为相似,短视频子系统与整体差异较大。(2)从空间集聚格局看,呈现出一主一副、多核联动的格局;从子系统看,搜索引擎、旅游网站和社交媒体子系统与整体相似,短视频子系统差异较大。(3)在空间结构特征中,整体呈现出中等以上水平区趋于均匀、较低水平区趋于随机、低水平区趋于凝聚的分布状态,且随着景区关注度水平降低而集聚特征逐渐增强;搜索引擎和旅游网站子系统与整体相似,社交媒体和短视频子系统与整体差异较大。(4)从影响因子看,景区销售市场、宣传平台建设、地区基础实力是主要影响因素,景区基础实力次之,外部旅游环境的影响力相对较弱。

关键词: 网络关注度, 沙漠旅游, A级景区, 空间格局, 中国

Abstract:

This paper constructed an evaluation system based on search engine index, tourism website index, social media index and short video index, by using spatial classification, kernel density estimation, nearest neighbor analysis and other methods to analyze the spatial difference of network attention in A-level desert scenic spots in China, and then explored the influencing factors. The results were shown as follows. (1) Desert scenic spots with high attention were mainly concentrated in Inner Mongolia, Xinjiang and Gansu, and the scenic spots with low attention had a large number, wide distribution, small scale and low level. From the perspective of subsystem, the spatial distribution pattern of search engine, tourism website and social media was similar to the comprehensive level, while the short video subsystem was quite different from the comprehensive level. (2) In the spatial agglomeration pattern, there was a pattern of one main core, one sub core, multi-core linkage. From the perspective of subsystem, the three subsystems of search engine, tourism website and social media were similar to the comprehensive level, and the short video subsystem was quite different from other subsystems. (3) In the spatial structure characteristics, the overall distribution state of the spots of medium and higher level tend to be uniform, the spots of lower level tend to be random, and the spots of low level tend to be condensed, and the agglomeration characteristics gradually increased with the decrease of the attention level of the scenic spots. Search engines and tourism websites were similar to the comprehensive level. (4) From the perspective of influencing factors, the factors that have a significant impact on the network attention of desert scenic spots were the sales market, the construction of propaganda platform and the regional basic strength, followed by the basic strength of scenic spots, and the influence of external tourism environment was relatively weak.

Key words: network attention, desert tourism, A-level scenic spots, spatial pattern, China

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