Cargando…
A data-driven travel mode share estimation framework based on mobile device location data
Mobile device location data (MDLD) contains abundant travel behavior information to support travel demand analysis. Compared to traditional travel surveys, MDLD has larger spatiotemporal coverage of the population and its mobility. However, ground truth information such as trip origins and destinati...
Autores principales: | Yang, Mofeng, Pan, Yixuan, Darzi, Aref, Ghader, Sepehr, Xiong, Chenfeng, Zhang, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358917/ https://www.ncbi.nlm.nih.gov/pubmed/34400848 http://dx.doi.org/10.1007/s11116-021-10214-3 |
Ejemplares similares
-
Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA
por: Xiong, Chenfeng, et al.
Publicado: (2020) -
Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections
por: Xiong, Chenfeng, et al.
Publicado: (2020) -
Examining spatiotemporal evolution of racial/ethnic disparities in human mobility and COVID-19 health outcomes: Evidence from the contiguous United States
por: Hu, Songhua, et al.
Publicado: (2022) -
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic
por: Hu, Songhua, et al.
Publicado: (2021) -
Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States
por: Pan, Yixuan, et al.
Publicado: (2020)