Revealing spatiotemporal travel demand and community structure characteristics with taxi trip data: A case study of New York City.
Urban traffic demand distribution is dynamic in both space and time. A thorough analysis of individuals' travel patterns can effectively reflect the dynamics of a city. This study aims to develop an analytical framework to explore the spatiotemporal traffic demand and the characteristics of the...
Guardado en:
Autores principales: | Chen Xie, Dexin Yu, Xiaoyu Zheng, Zhuorui Wang, Zhongtai Jiang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a10e21f492594af0ad55a8a5d2d3da31 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Revealing spatiotemporal travel demand and community structure characteristics with taxi trip data: A case study of New York City
por: Chen Xie, et al.
Publicado: (2021) -
Research on origin‐destination travel demand prediction method of inter‐regional online taxi based on SpatialOD‐BiConvLSTM
por: Dejun Chen, et al.
Publicado: (2021) -
Skip the trip: air travelers' behavioral responses to pandemic influenza.
por: Eli P Fenichel, et al.
Publicado: (2013) -
Estimating Destination of Bus Trips Considering Trip Type Characteristics
por: Soongbong Lee, et al.
Publicado: (2021) -
Trip duration drives shift in travel network structure with implications for the predictability of spatial disease spread.
por: John R Giles, et al.
Publicado: (2021)