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历史文化名镇网络关注度时空特征及其影响因素分析——以三河古镇为例 被引量:3

Spatial-Temporal Characteristics and Influencing Factors of Network Attention to Ancient Town:——A Case Study of Sanhe Ancient Town
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摘要 通过百度指数获取2015—2019年三河古镇网络关注度的相关数据,结合周内分布偏度指数及地理集中指数对其网络关注度的时空分布特征进行测量,并利用回归分析法对三河古镇网络关注度时空分布特征进行研究。研究结论如下:三河古镇网络关注度近年总体呈下滑趋势;网络关注度年内分布呈现"双峰"特征;"十一"期间网络关注度愈发集中,呈现出倒"V"型;三河古镇网络关注度虽在空间上仍表现出集中分布的特点,但集中程度在逐渐下降;气候舒适度、国家休假制度及节事活动等社会因素对三河古镇网络关注度的时间分布产生了显著影响;经济联系、经济发达程度及空间距离对三河古镇网络关注度的空间分布产生了显著影响。 In this paper, Baidu Index is used to obtain the relevant data of network attention to Sanhe ancient town from2015 to 2019. Combined with weekly distribution skewness index and geographic concentration index, the spatial and temporal distribution characteristics of network attention are measured, and the regression analysis method is used to study the spatial and temporal distribution characteristics of network attention to Sanhe ancient town. This research can be concluded as below:the network attention to Sanhe ancient town shows a downward trend in recent years;the annual distribution of network attention presents the feature of"double-peaks ";during the national day holiday, the network attention to Sanhe ancient town becomes more and more concentrated, showing an inverted"V"shape;although the network attention to Sanhe ancient town still shows the characteristics of centralized distribution in space, the concentration degree is gradually decreasing;climate comfort, national vacation system, festival activities and other social factors have a significant impact on the time distribution of network attention;and economic connection, economic development and spatial distance have a significant impact on the spatial distribution of network attention to Sanhe ancient town.
作者 郝西文 HAO Xi-wen(School of Economics and management,Anhui SanlianUniversity,Hefei 230601,Anhui,China)
出处 《长江师范学院学报》 2021年第6期15-24,共10页 Journal of Yangtze Normal University
基金 安徽省高校人文社会科学重点资助项目“基于活化利用的安徽省文化遗址公园旅游开发研究”(SK2020A0615) 安徽三联学院校级科研项目“基于遗产活化理论的安徽省历史文化主题公园旅游开发研究”(SKZD2020007)。
关键词 历史文化名镇 网络关注度 时空特征 影响因素 三河古镇 historical and cultural towns network attention spatial and temporal characteristics influencing factors ancient Sanhe town
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