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岳阳楼旅游景区近10年网络关注度时空特征及其影响因素

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基于百度指数平台获取2013-2022年岳阳楼景区网络关注度数据,采用季节性强度指数、周内分布偏度指数、赫芬达尔指数、地理集中指数、首位度指数等方法,分析景区网络关注度时空特征及其影响因素.研究结果表明:时间上,岳阳楼景区2013-2022年网络关注度总体呈上升趋势,景区存在显著的季节性差异,节假日网络关注度整体上偏向分布于周前期;空间上,景区网络关注度分布均衡且稳定;经济发展水平、网络发展水平、人口数量、教育水平和城市发展水平与岳阳楼景区网络关注度时空特征呈现正相关性.
Spatiotemporal Characteristics and Influencing Factors of Network Attention of Yueyanglou Tourist Attraction in the Past Ten Years
Based on the Baidu index platform,the network attention data of Yueyanglou scenic spot were obtained from 2013 to 2022,and the spatiotemporal characteristics and influencing factors of network attention in the scenic spot were analyzed by using the methods of seasonal intensity index,weekly distribution skewness index,Herfindahl index,geographic concentration index and primacy index.The results show that:In terms of time,the network attention of Yueyanglou Scenic Area from 2013 to 2022 generally shows an upward trend,there are significant seasonal differences in the scenic spot,and the network attention of holidays is generally distributed in the early part of the week.In terms of space,the distribution of attention in the scenic area network is balanced and stable.There is a positive correlation between the level of economic development,the level of network development,the number of population,the level of education and the level of urban development and the spatiotemporal characteristics of the network attention of Yueyanglou Scenic Area.

Yueyanglounetwork attentionspatiotemporal characteristicsinfluencing factors

施梦星、郭心雨、张晨雨、李文丽、李薇

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江西应用科技学院国际商务学院,南昌 330100

江西应用科技学院光华宝石与艺术设计学院,南昌 330100

岳阳楼 网络关注度 时空特征 影响因素

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(19)
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