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台儿庄古城景区网络关注热度特征分析
引用本文:杨晓琪. 台儿庄古城景区网络关注热度特征分析[J]. 科技和产业, 2021, 21(6): 299-304. DOI: 10.3969/j.issn.1671-1807.2021.06.055
作者姓名:杨晓琪
作者单位:甘肃政法大学商学院,兰州730070
摘    要:旅游景区关注度是景区旅游影响力的反映.以台儿庄古城为研究对象,基于百度指数和运用Python爬取的携程游记文本数据,采用内容分析法及选取变异系数、地理集中指数等指标测度景区网络关注的时间、内容及空间特征.结果发现:景区关注度前兆效应特征不明显但季节性特征显著,夏季是景区旅游旺季;游客对具有丰厚文化底蕴的旅游吸引物印象最深,门票以及配套设施也是游客的兴趣点;网络关注度呈现东高西低北高南低态势,存在省际区域差异和空间聚集性.

关 键 词:台儿庄古城  网络关注度  百度指数  网络文本  旅游大数据

An Analysis of the Characteristics of Network Attention of Taierzhuang Ancient City
YANG Xiao-qi. An Analysis of the Characteristics of Network Attention of Taierzhuang Ancient City[J]. SCIENCE TECHNOLOGY AND INDUSTRIAL, 2021, 21(6): 299-304. DOI: 10.3969/j.issn.1671-1807.2021.06.055
Authors:YANG Xiao-qi
Abstract:The attention of scenic spots is an important reflection of the influence of scenic spots. Taking Taierzhuang ancient city scenic area as the research object, based on Baidu index and the text data of ctrip travel notes crawled by using python,content analysis method, coefficient of variation, geographic concentration index and other indicators are used to measure the time, content and spatial characteristics of network attention in scenic spots. The results show that: The characteristics of precursory effect are not obvious and the seasonal characteristics are significant. Summer is the peak season of tourism. Tourists are most impressed by the tourism attractions with rich cultural heritage, and tickets and supporting facilities are also the interest points of tourists. The degree of network attention is high in the east and low in the west and high in the north and low in the south, with obvious regional differences and spatial aggregation.
Keywords:Taierzhuang ancient city   network attention   baidu index   network text   tourism big data
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