Cargando…
Urban road congestion patterns under the COVID-19 pandemic: A case study in Shanghai
The novel coronavirus (COVID-19) pandemic has had a significant impact on human mobility around the world. Many cities issued “stay-at-home” orders during the outbreak of COVID-19, and many commuters have also changed their travel modes in the post pandemic period; e.g., transit/bus passengers have...
Autores principales: | Li, Jian, Xu, Pengfei, Li, Weifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tongji University and Tongji University Press. Publishing Services by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247623/ http://dx.doi.org/10.1016/j.ijtst.2021.03.001 |
Ejemplares similares
-
Spatiotemporal analysis of urban road congestion during and post COVID-19 pandemic in Shanghai, China
por: Xu, Pengfei, et al.
Publicado: (2022) -
Predictability of Road Traffic and Congestion in Urban Areas
por: Wang, Jingyuan, et al.
Publicado: (2015) -
Community detection in large scale congested urban road networks
por: Haghbayan, Seyed Arman, et al.
Publicado: (2021) -
Dataset of global cities’ congestion level and urban spatial pattern
por: Li, Jiewei, et al.
Publicado: (2022) -
A resilience-oriented approach for quantitatively assessing recurrent spatial-temporal congestion on urban roads
por: Tang, Junqing, et al.
Publicado: (2018)