Highlights COVID had larger impact on the mobility of non-commute trip than commute trip. COVID had larger impact in core area of the Greater Bay Area than peripheral area. COVID had larger impact on mobility of disadvantaged groups than advantaged groups. Law enforcement had a significant impact on travel mobility in the core cities. Our findings imply social inequity in travel mobility and transport resources.

    Abstract The COVID-19 outbreak has significantly impacted people’s mobility in terms of travel, which is directly related to regional economic vitality and individuals’ well-being. This study conducted research on the COVID-19 epidemic’s impact on travel mobility in China’s Greater Bay Area, utilizing mobile phone big data. The overall influence of COVID-19 was measured by investigating the impact between different income and migration groups in three core cities: Shenzhen, Guangzhou, and Foshan. Individuals’ weekly travel frequency and activity space area between December 2019 and May 2020 were calculated, and the average values between the different cities and various social groups were compared. The results showed that travel mobility declined during the epidemic’s peak, followed by a recovery based on the overall trend. The start and end of strict law enforcement had a significant impact on the initial decline and subsequent recovery of travel mobility in the core cities. COVID-19 had a larger impact on core cities than peripheral areas, and on non-commute travel frequency, compared to commute travel frequency. Compared to advantaged groups, socially disadvantaged groups experienced a steeper decline in travel mobility during the epidemic’s peak, but a more significant recovery afterwards. These findings indicate that discretionary activities have not yet recovered and remain below the pre-epidemic level, and that disadvantaged social groups had limited access to superior precautionary measures for avoiding infection. Based on the findings, we provide several policy suggestions regarding the recovery of travel mobility.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Analyzing COVID-19’s impact on the travel mobility of various social groups in China’s Greater Bay Area via mobile phone big data


    Beteiligte:
    Pan, Yu (Autor:in) / He, Sylvia Y. (Autor:in)


    Erscheinungsdatum :

    2022-01-01


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Analyzing door-to-door travel times through mobile phone data

    García-Albertos, Pedro / Cantú Ros, Oliva G. / Herranz, Ricardo | Online Contents | 2019


    Analyzing door-to-door travel times through mobile phone data

    García-Albertos, Pedro / Cantú Ros, Oliva G. / Herranz, Ricardo | Springer Verlag | 2020


    Analyzing Cell Phone Location Data for Urban Travel

    Çolak, Serdar | Online Contents | 2015


    Analyzing Cell Phone Location Data for Urban Travel

    Çolak, Serdar / Alexander, Lauren P. / Alvim, Bernardo G. et al. | Transportation Research Record | 2019


    Analyzing Passenger Travel Demand Related to the Transportation Hub inside a City Area using Mobile Phone Data

    Zhong, Gang / Zhang, Jian / Li, Linchao et al. | Transportation Research Record | 2018