峨眉山旅游网络关注时空特征及影响因素分析  

An Analysis of Spatial and Temporal Characteristics and Influencing Factors of Mount Emei Tourism Network Attention

作　　者：黄勇 冯晓兵[2] HUANG Yong;FENG Xiaobing(Guang’an Yucai School,Guang’an Sichuan 638500,China;School of Tourism and Geographic Science,Leshan Normal University,Leshan Sichuan 614000,China)

机构地区：[1]广安市育才学校,四川广安638000 [2]乐山师范学院旅游与地理科学学院,四川乐山614000

出　　处：《乐山师范学院学报》2024年第6期86-93,共8页Journal of Leshan Normal University

基　　金：四川省哲学社会科学重点研究基地四川旅游发展研究中心课题“旅游景区网络关注时空特征及影响因素研究”(LY23-02);2023年度乐山师范学院校级科研培育重点项目“长江上游城市群旅游信息流空间网络结构、驱动机制及溢出效应研究”。

摘　　要：网络关注度是用户对某种事物或现象的潜在需求或现实关注的重要体现。以“峨眉山”为关键词检索,获取2016-2022年中国内地31个省(自治区、直辖市)的百度搜索指数,使用地理空间分析方法探究峨眉山旅游网络关注度时空差异及其影响因素。研究发现:峨眉山旅游网络关注度整体呈现先增后降的年度变化趋势,7-10月为网络搜索的“旺季”,11-12月为“淡季”;峨眉山旅游网络关注度地理空间分布整体较为分散,省域间旅游网络空间关注度差异不断减小;峨眉山旅游网络关注度与旅游淡旺季的时间分布较为一致,客源地地区生产总值、人口规模、互联网发展水平是影响峨眉山旅游网络关注度空间分布特征的主要因素。Network attention represents users'potential demand for or interest in something.By using"Mount Emei"as a keyword for search,we obtained the Baidu search index of 31 provinces,municipalities and autonomous regions in China’s mainland from 2016 to 2022,and used geospatial analysis to explore the temporal and spatial differences in Mount Emei tourism network attention and its influencing factors.It is found that the overall annual trend of network attention to Mount Emei tourism has firstly increased and then decreased,with July-to-October being the"peak season"for online search and November-to-December the"off-season".The geographic distribution of network attention to Mount Emei tourism is relatively scattered,and the differences of network attention within the province is continuously decreasing.The temporal distribution of network attention to Mount Emei tourism is quite consistent with the tourism peak and off seasons.The main factors influencing the spatial distribution characteristics of network attention to Mount Emei tourism are the gross domestic product,population size,and the level of internet development of the tourism-generating regions.

关 键 词：峨眉山 百度指数 网络关注度 影响因素 

分 类 号：K825.5[历史地理—历史学]