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COVID-19 and mobility in tourism cities: A statistical change-point detection approach
Journal of Hospitality and Tourism Management ( IF 7.629 ) Pub Date : 2021-04-06 , DOI: 10.1016/j.jhtm.2021.03.014
Mu Yang , Chunjia Han , Yongmei Cui , Yuanjun Zhao

This study uses statistical change-point analysis to investigate the impact of the COVID-19 pandemic on people's mobility in tourism cities. Based on the collected data sample containing mobility time series of nine tourism cities on three categories of places - Retail and Recreation, Parks and Transit Stations, we find apart from the mobility reduction observed on all place categories, most cities experienced a three-phase pattern. Moreover, a time lag between the mobility decrease and introduction of lockdown measures is detected, suggesting that the latter is not the reason for people to reduce movement. Further, the mobility reduction is found less significant on Parks and appeared earlier on Transit Stations. The findings provide useful insights on how tourism, hospitality and travel sectors are affected by crisis events.



中文翻译:

COVID-19和旅游城市的流动性:统计变化点检测方法

这项研究使用统计变化点分析来调查COVID-19大流行对旅游城市人口流动的影响。根据收集的数据样本,其中包含三个地点(零售和休闲场所,公园和公交车站)上的九个旅游城市的出行时间序列,我们发现,除了在所有地点类别上观察到的出行率下降之外,大多数城市都经历了三个阶段的模式。此外,检测到移动性降低与引入锁定措施之间存在时间差,这表明后者并不是人们减少运动的原因。此外,人们发现在公园的流动性降低不那么显着,并且在公交车站上出现得较早。研究结果为危机事件对旅游业,酒店业和旅游业的影响提供了有益的见解。

更新日期:2021-04-11
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