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    COVID-19 and mobility in tourism cities: a statistical change-point detection approach

    Yang, Mu and Han, Chunjia and Cui, Y. and Zhao, Y. (2021) COVID-19 and mobility in tourism cities: a statistical change-point detection approach. Journal of Hospitality and Tourism Management 47 , pp. 256-261. ISSN 1447-6770.

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    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.


    Item Type: Article
    Keyword(s) / Subject(s): Mobility, Tourism cities, COVID-19, Change-point detection
    School: School of Business, Economics & Informatics > Management
    Depositing User: Chunjia Han
    Date Deposited: 04 Mar 2022 06:41
    Last Modified: 05 Sep 2022 12:35


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