Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China

On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities

“… 2020 ; Melo 2022 ; Rasca et al. 2021 ; Jiang and Cai 2022 ). These studies report various findings: decline in PT use in favor of the car, the impact of policy stringency on PT, fear of contamination in PT, and the wide adoption of remote activities, particularly during the first months of the pandemic (Gkiotsalitis and Cats 2021 ).…”

Social and spatial heterogeneities in COVID-19 impacts on individual's metro use: A big-data driven causality inference

“…In addition, mobility intervention policies may have time-varying effects. Jiang and Cai (2022) reported that the marginal effects of first-level health emergency responses on metro ridership were larger on weekdays than weekends. Xin et al (2021) used a synthetic control method (SCM) and found a slower metro ridership recovery in Wuhan compared to other sampled cities in China without full metro system closure at the recovery stage.…”

“…An increasing number of empirical studies have substantiated the change of city-level or station-level metro transit ridership due to the pandemic and mobility policies ( Chang et al, 2021 ; Jiang & Cai, 2022 ; Kwon et al, 2022 ). However, only a limited number of studies have investigated the change of individual-level metro use behaviors, including metro trip frequency, travel time, and mode shift from metro to private cars ( Astroza et al, 2020 ; Park & Cho, 2021 ; Park et al, 2022 ; Maljaee & Sameni, 2022 ).…”

Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong

“…As a type of public space where people frequently meet and virus transmission occurs, public transport use particularly suffered from the pandemic and decreased significantly ( Eisenmann et al, 2021 ; Vickerman, 2021 ). A group of studies examined changes in travel behaviors in the metro system to understand who maintained their metro travel, and whether variations in travel change among riders or stations can be related to characteristics of individuals, metro stations, or communities around those stations ( Chang et al, 2021a ; Jiang & Cai, 2022 ; Zhang et al, 2021 ; Zhou et al, 2021 ).…”