Cargando…
Geovisualizing the changes in metro passenger flows of Kunming under the impact of COVID-19
Autores principales: | Zhang, Qinran, Yang, Haoran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382435/ https://www.ncbi.nlm.nih.gov/pubmed/35992219 http://dx.doi.org/10.1016/j.jtrangeo.2022.103420 |
Ejemplares similares
-
Geovisualizing cancelled air and high-speed train services during the outbreak of COVID-19 in China
por: Wang, Jiaoe, et al.
Publicado: (2021) -
New equilibrium? Dynamics of intercity mobility in China during COVID-19 pandemic period
por: Li, Tao, et al.
Publicado: (2022) -
Simulation analysis of passengers’ rescheduling strategies in metro station under COVID-19
por: Lu, Ying, et al.
Publicado: (2023) -
Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines
por: Gallo, Mariano, et al.
Publicado: (2019) -
Evaluating the Impact of Metro Interior Noise on Passenger Annoyance: An Experimental Study
por: Ma, Meng, et al.
Publicado: (2022)