Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China
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DOI: 10.1016/j.tranpol.2022.09.002
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Cited by:
- Yu, Chengcheng & Dong, Wentao & Liu, Yunhao & Yang, Chao & Yuan, Quan, 2024. "Rethinking bus ridership dynamics: Examining nonlinear effects of determinants on bus ridership changes using city-level panel data from 2010 to 2019," Transport Policy, Elsevier, vol. 151(C), pages 85-100.
- Ouassim Manout & Louafi Bouzouina & Karima Kourtit & Peter Nijkamp, 2023.
"On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities,"
Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-15, December.
- Ouassim Manout & Louafi Bouzouina & Karima Kourtit & Peter Nijkamp, 2023. "On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities," Post-Print hal-04066545, HAL.
- Ziedan, Abubakr & Lima, Luiz & Brakewood, Candace, 2023. "A multiple mediation analysis to untangle the impacts of COVID-19 on nationwide bus ridership in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
- Xiao, Weiye & Li, Han & Yuan, Feng & Chen, Wen, 2024. "The 2-month lockdown and commuting behavior transformation in Shanghai: A phone signal data-based analysis," Transport Policy, Elsevier, vol. 150(C), pages 149-161.
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Keywords
COVID-19 pandemic; Weather variables; Socio-economic variables; Metro ridership; Generalized linear models;All these keywords.
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