摘要
旅游人口规模和结构变化会影响旅游业的发展,如何统筹旅游人口流动和疫情防控工作是常态化疫情防控阶段旅游业恢复面临的首要问题。对此,文章借助百度迁徙大数据,选取北京、上海、武汉、南京为旅游热点案例城市,通过因子分析、回归分析法,对中国疫情期间的人口流动特征进行深入探究,并剖析影响旅游经济的因素,以期促进旅游业发展。结果表明,2020年新冠肺炎疫情下,4座城市的迁徙规模指数和出行强度均比2019年同期有明显的下降趋势;国民在提高“疫情”关注度的同时,减少“旅游”的搜索量,旅游人数减少,旅游经济受挫;旅游地经济水平及旅游地吸引力对旅游业存在显著的正向影响。
Changes in the scale and structure of the tourism population will affect the development of the tourism industry.How to coordinate the flow of tourism population and epidemic prevention and control work is the primary issue faced by the tourism industry in the normalized epidemic prevention and control stage.In this regard,with the help of Baidu migration Big data,the article selects Beijing,Shanghai,Wuhan,and Nanjing as hot tourism case cities.Through factor analysis and regression analysis,the article deeply explores the characteristics of population mobility during the epidemic in China,and analyzes the factors affecting the tourism economy,with a view to promoting the development of tourism.The results show that under the COVID-19 in 2020,the migration scale index and travel intensity of the four cities have a significant downward trend compared with the same period in 2019;While increasing the awareness of the“epidemic”among citizens,the search volume for“tourism”has been reduced,resulting in a decrease in the number of tourists and a setback in the tourism economy;The economic level and attractiveness of tourist destinations have a significant positive impact on the tourism industry.
作者
闵曙辉
马小雪
MIN Shu-hui;MA Xiao-xue(School of Geography,Jiangsu Second Normal University,Nanjing 211200,Jiangsu)
出处
《江苏商论》
2023年第9期60-66,共7页
Jiangsu Commercial Forum
关键词
疫情
百度迁徙大数据
人口流动
旅游业
Epidemic situation
Baidu migration to Big data
Population mobility
Tourism industry
