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毛志莹, 罗镁玲, 董思宁, 等. 基于百度指数的武夷山国家公园网络关注度时空特征研究[J]. 四川林业科技, 2023, 44(2): 94−102. DOI: 10.12172/202209080003
引用本文: 毛志莹, 罗镁玲, 董思宁, 等. 基于百度指数的武夷山国家公园网络关注度时空特征研究[J]. 四川林业科技, 2023, 44(2): 94−102. DOI: 10.12172/202209080003
MAO Z Y, LUO M L, DONG S N, et al. Research on spatial-temporal characteristics of network attention in Wuyi Mountain National Park based on Baidu index[J]. Journal of Sichuan Forestry Science and Technology, 2023, 44(2): 94−102. DOI: 10.12172/202209080003
Citation: MAO Z Y, LUO M L, DONG S N, et al. Research on spatial-temporal characteristics of network attention in Wuyi Mountain National Park based on Baidu index[J]. Journal of Sichuan Forestry Science and Technology, 2023, 44(2): 94−102. DOI: 10.12172/202209080003

基于百度指数的武夷山国家公园网络关注度时空特征研究

Research on Spatial-temporal Characteristics of Network Attention in Wuyi Mountain National Park Based on Baidu Index

  • 摘要: 国家公园代表着我国生态系统的保护特色,具有全民公益性,近年来逐渐成为重要的旅游目的地之一,对其网络关注度的研究,可以为国家公园的生态旅游网络营销提供参考依据。根据武夷山国家公园从2011年至2021年共11年的百度指数日指数,采用多指数和空间集散程度分析法探究其网络关注度时空变化特征。结果表明:(1)武夷山国家公园的日均年际网络关注度整体呈现明显的“单峰”特征;月均网络关注度具有“双峰”的季节性特征,其中4月和7月为峰值期,1月为低谷期;五一假期前网络关注度逐渐增加,假期期间则趋势下降,这与游客假期出游的“前兆”效应相吻合;十一假期期间,网络关注度逐渐上升后又下降,有明显的“单峰”趋势,游客可能存在“错峰”出行的现象。(2)2011年至2021年总体网络关注度空间分布集聚较分散,三大片区网络关注度与空间集聚水平整体上相一致,表现为东部地区>中部地区>西部地区。(3)武夷山国家公园网络关注度与GDP、人口总量、人均可支配收入成正相关,与空间距离呈负相关。由此提出针对性策略,以期实现武夷山国家公园的可持续发展。

     

    Abstract: As a representative of the protection characteristics of China’s ecosystem, national parks have become one of the important tourist destinations in recent years, and the research on their network attention can provide reference for the ecotourism network marketing of national parks. According to the daily index of Baidu Index in Wuyi Mountain National Park for 11 years from 2011 to 2021, the temporal and spatial variation characteristics of network attention were explored by using multi-index and spatial distribution degree analysis. The results showed that: (1) The daily average inter-annual network attention of Wuyishan National Park showed obvious “single peak” characteristics; The monthly average network attention had the seasonal characteristics of “double peaks”, in which April and July were the peak periods and January was the trough period; The network attention gradually increased before the May Day holidays, but decreased during the holiday, which was consistent with the "precursor" effect of tourists’ holiday travel; During the National Day holidays, the network attention gradually increased and then decreased, with an obvious “single peak” trend, and tourists may had the phenomenon of “peak-shifting” travel. (2) From 2011 to 2021, the spatial distribution and concentration of the overall network attention were scattered, and the level of network attention and spatial concentration in the three major areas was consistent as a whole, showing that the eastern region > the central region > the western region. (3) The network attention of Wuyishan National Park was positively correlated with GDP, total population and per capita disposable income, and negatively correlated with spatial distance. In the end, the targeted strategies were put forward in order to realize the sustainable development of Wuyi Mountain National Park.s positively correlated with GDP, total population and per capita disposable income, and negatively correlated with spatial distance. In the end, the targeted strategies were put forward in order to realize the sustainable development of Wuyi Mountain National Park.

     

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