REVEALING SPATIAL VARIATION AND CORRELATION OF URBAN TRAVELS FROM BIG TRAJECTORY DATA
With the development of information and communication technology, spatial-temporal data that contain rich human mobility information are growing rapidly. However, the consistency of multi-mode human travel behind multi-source spatial-temporal data is not clear. To this aim, we utilized a week of tax...
Main Authors: | X. Li, W. Tu, S. Shen, Y. Yue, N. Luo, Q. Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-09-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/53/2017/isprs-archives-XLII-2-W7-53-2017.pdf |
Similar Items
-
COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA
by: R. Cao, et al.
Published: (2016-06-01) -
Location Optimization for Urban Taxi Stands Based on Taxi GPS Trajectory Big Data
by: Zhaowei Qu, et al.
Published: (2019-01-01) -
Revealing Dynamic Spatial Structures of Urban Mobility Networks and the Underlying Evolutionary Patterns
by: Chen, L., et al.
Published: (2022) -
Reliable Rescue Routing Optimization for Urban Emergency Logistics under Travel Time Uncertainty
by: Qiuping Li, et al.
Published: (2018-02-01) -
A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES
by: W. Wang, et al.
Published: (2018-09-01)