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城市核心景区网络关注度时空特征分析——以南京夫子庙、中山陵、玄武湖、总统府为例
引用本文:许广路.城市核心景区网络关注度时空特征分析——以南京夫子庙、中山陵、玄武湖、总统府为例[J].江苏经贸职业技术学院学报,2020(1):56-59,92.
作者姓名:许广路
作者单位:江苏经贸职业技术学院文化旅游学院,江苏南京211168
基金项目:江苏省高职院校青年教师企业实践培训项目;江苏省高校哲学社会科学优秀创新团队建设项目
摘    要:以南京夫子庙、中山陵、玄武湖、总统府这四处核心景区为研究案例,基于百度指数获取2016—2018年的网络关注度数据,从时间和空间两个角度分析南京市核心景区的网络关注度特征。在时间特征上,年内网络关注度曲线图的变化趋势基本一致,呈波状起伏变化,其中4月、8月、10月为峰顶,1月、11月、12月为波谷;周内网络关注度表现为工作日低,从周五开始上升,周六达到最高;节假日呈现明显的“井喷现象”。在空间特征上,周边省市和经济发达省份关注度高,偏远地区相对来说关注度低。

关 键 词:城市核心景区  网络关注度  时空特征

Spatial and Temporal Characteristics of Network Attention in Urban Core Scenic Spots: Taking Nanjing Confucius Temple,Zhongshan Mausoleum,Xuanwu Lake and Presidential Palace as Examples
Authors:XU Guang-lu
Institution:(School of Culture and Tourism,Jiangsu Vocational Institute of Commerce,Nanjing 211168,Jiangsu,China)
Abstract:Taking the four core scenic spots of Nanjing,namely,Confucius Temple,Zhongshan Mausoleum,Xuanwu Lake and Presidential Palace,as the research case,the network attention data of Nanjing core scenic spots from 2016 to 2018 were obtained based on Baidu index,and the network attention characteristics of Nanjing core scenic spots were analyzed from two angles of time and space.The study found that:in terms of time characteristics,the three-year change trend of network attention curve is basically the same,showing wavy fluctuations,with peaks in April,August and October,and valleys in January,November and December;low working days in the week,rising network attention from Friday,reaching the highest on Saturdays;and obvious blowout phenomena in holidays.Spatial characteristics show that the attention of surrounding provinces and cities and economically developed provinces is high,while the attention of remote areas is relatively low.
Keywords:urban core scenic spots  network attention  spatial and temporal characteristics
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