Understanding Regional Mobility Patterns Using Car-Hailing Order Data and Points of Interest Data
Car hailing is undergoing rapid global development, thereby providing new opportunities and challenges to operators and transport engineers due to uneven or irregular demand in certain areas. To date, only a limited number of studies have analyzed regional mobility patterns or anomaly detection. Thi...
Saved in:
| Main Authors: | Zheng Zhang, Yanyan Chen, Jie Xiong, Tianwen Liang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/1410808 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Understanding Regional Mobility Patterns Using Car-Hailing Order Data and Points of Interest Data
by: Journal of Advanced Transportation
Published: (2020-01-01) -
Recognition of Functional Areas Based on Call Detail Records and Point of Interest Data
by: Guang Yuan, et al.
Published: (2020-01-01) -
Demand forecasting of online car‐hailing by exhaustively capturing the temporal dependency with TCN and Attention approaches
by: Xiaofei Ye, et al.
Published: (2024-12-01) -
The Impact of Ride-Hailing Services on Private Car Use in Urban Areas: An Examination in Chinese Cities
by: Jun Zhong, et al.
Published: (2020-01-01) -
Analysis of the Impact of Ride-Hailing on Urban Road Network Traffic by Using Vehicle Trajectory Data
by: Zijun Liang, et al.
Published: (2022-01-01)