巢湖学院学报 ›› 2022, Vol. 24 ›› Issue (6): 64-72.doi: 10.12152/j.issn.1672-2868.2022.06.007

• 经济与管理 • 上一篇    下一篇

新冠肺炎疫情对黄山旅游网络关注度的影响分析

李晓炫:阜阳师范大学 经济学院   

  1. 阜阳师范大学 经济学院,安徽 阜阳 236000
  • 收稿日期:2022-09-21 出版日期:2022-11-25 发布日期:2023-03-02
  • 作者简介:李晓炫(1987—),女,安徽阜阳人,阜阳师范大学经济学院讲师,博士,主要从事网络经济研究。
  • 基金资助:
    安徽省自然科学基金青年项目(项目编号:1908085QG305);安徽省高校人文社会科学研究重点项目(项目编号:SK2020A0341);阜阳师范大学青年人才重点基金项目(项目编号:rcxm202008)

Analysis of the Impact of COVID-19 Epidemic on the Network Attention to Huangshan Tourism

LI Xiao-xuan:School of Economics, Fuyang Normal University   

  1. School of Economics, Fuyang Normal University, Fuyang Anhui 236000
  • Received:2022-09-21 Online:2022-11-25 Published:2023-03-02

摘要: 通过“百度指数”官方平台提供的相关数据,选取黄山市2019至2020年旅游的日度网络关注度数据,以2019年和2020年分别作为疫情暴发前后的时间范围,对黄山旅游的网络关注度的时空特征进行分析。结果表明:在周分析中,关注度峰值提前到来,说明人们对于出行保持谨慎态度;旅游住宿、出行搜索高峰延后,疫情对旅游出行的影响是显著的。月度分析显示疫情后黄山旅游网络关注度显著下降。民众在疫情暴发后对于黄山旅游的空间偏好逐渐向东部地区转移,对黄山旅游网络关注度变化差异较大的地区大部分处于疫情中心及其周边的“重灾区”。研究结果有助于旅游业对于公共卫生安全事件的及时处理和合理应对,对疫情后旅游业的复苏及后期的推广也有着重要的意义。

关键词: 新冠肺炎疫情, 网络关注度, 时空特征, 搜索数据

Abstract: Through the relevant data provided by the "Baidu Index", the paper analyzes the spatial-temporal characteristics of Huangshan Tourism's network attention in 2019 and 2020, the years chosen as the time frame before and after the outbreak of the epidemic. The results show that the peak of weekly attention arrived early, indicating that people are more cautious; the peak of tourism accommodation and travel search has been delayed, proving a significant impact of the epidemic on tourism. Monthly analysis shows that the attention has decreased significantly after the epidemic. People's spatial preferences for tourism in Huangshan have gradually shifted to the eastern region, and most of the areas with great changes in network attention to Huangshan tourism are the "hard-hit areas" and their surrounding areas. The results of this paper are helpful for the tourism industry to deal with public health incidents in a timely and reasonable manner, and are also of significance to the recovery and promotion of tourism after the epidemic.

Key words: COVID-19, network attention, spatial-temporal characteristics, search data

中图分类号: 

  • F592.7