邱爽, 陈雪, 于法稳. 四川省5A级景区网络关注度的时空分布特征[J]. 内江师范学院学报, 2024, 39(6): 73-80. DOI: 10.13603/j.cnki.51-1621/z.2024.06.012
    引用本文: 邱爽, 陈雪, 于法稳. 四川省5A级景区网络关注度的时空分布特征[J]. 内江师范学院学报, 2024, 39(6): 73-80. DOI: 10.13603/j.cnki.51-1621/z.2024.06.012
    QIU Shuang, CHEN Xue, YU Fawen. On the spatial and temporal distribution characteristics of the attention to 5A scenic spots in Sichuan Province[J]. Journal of Neijiang Normal University, 2024, 39(6): 73-80. DOI: 10.13603/j.cnki.51-1621/z.2024.06.012
    Citation: QIU Shuang, CHEN Xue, YU Fawen. On the spatial and temporal distribution characteristics of the attention to 5A scenic spots in Sichuan Province[J]. Journal of Neijiang Normal University, 2024, 39(6): 73-80. DOI: 10.13603/j.cnki.51-1621/z.2024.06.012

    四川省5A级景区网络关注度的时空分布特征

    On the spatial and temporal distribution characteristics of the attention to 5A scenic spots in Sichuan Province

    • 摘要: 选取四川省5A级景区为研究区域,基于百度指数平台获取2013—2021年景区网络关注度数据,利用年际变动指数、季节集中指数、周内变动指数、地理集中指数、首位度指数、反距离权重插值等方法分析四川省5A级景区网络关注度的时空分布特征.结果表明:(1)四川省5A级景区网络关注度存在较大的年际差异,年际变动幅度较大;(2)网络关注度的季节性变化幅度大体相似,季节性特征明显,具有旺季、平季长且集中,淡季短,各月分布不均衡;(3)由于"错高峰,分流游"的原因,劳动节和国庆节假期网络关注度偏向黄金周前期或中前期,偏度不断扩大;(4)网络关注度的空间特征呈集中分布,以四川省为中心,网络关注度的空间演化呈川西、川南地区相对集中分布、"核心-边缘"特征明显.

       

      Abstract: The 5A scenic spots in Sichuan were selected as the research area, based on the national network attention data from 2013 to 2021, and by use of the annual change index, seasonal intensity index, golden week distribution index, geographical concentration index and primacy ratio index, the paper studies the spatial and temporal distribution characteristics of the network attention of 5A scenic spots in Sichuan. The results show that: (1)There are large inter-annual differences in the online attention of 5A scenic spots in Sichuan, with large inter-annual variations; (2)The seasonal variations of online attention are generally similar, with obvious seasonal characteristics of long and concentrated peak season and flat season, short off-season, and the monthly distribution being rather uneven; (3)Due to the practice of "staggered travel", the online attention of Labor Day and National Day holidays takes on a trend of concentrating on the early golden week or mid-golden week, with an expanding deviation trend; (4) The spatial characteristics of Internet attention are concentrated, with Sichuan province as the center, and the spatial evolution of Internet attention is relatively concentrated in western and southern Sichuan, and the "core-edge" feature is obvious.

       

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