Sensing Urban Mobility with Taxi Flow



International Workshop on Location-Based Social Networks (LBSN) in conjunction with the 19th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) 2011

Cited by

Year 2016 : 6 citations

 Analyzing urban human mobility patterns through a thematic model at a finer scale
F Zhang, X Zhu, W Guo, X Ye, T Hu, 2016

 Assessing patient bypass behavior using taxi trip origin–Destination (OD) data
G Yang, C Song, H Shu, J Zhang, T Pei, 2016

 A comparison of road-network-constrained trajectory compression methods
Y Ji, H Liu, X Liu, Y Ding, W Luo, 2016

 Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
D Nam, K Hyun, H Kim, K Ahn, 2016

 Identifying the Temporal Characteristics of Intra-City Movement Using Taxi Geo-Location Data
W Zhang, X Qian, SV Ukkusuri, 2016

 Clockwise compression for trajectory data under road network constraints
Y Ji, Y Zang, W Luo, X Zhou, Y Ding, 2016

Year 2013 : 4 citations

 Pathlet learning for compressing and planning trajectories
C Chen, H Su, Q Huang, L Zhang… - Proceedings of the 21st …, 2013 -
Abstract The wide deployment of GPS devices has generated gigantic datasets of
pedestrian and vehicular trajectories. These datasets offer great opportunities for enhancing

 From taxi GPS traces to social and community dynamics: a survey
PS Castro, D Zhang, C Chen, S Li, G Pan - ACM Computing Surveys ( …, 2013 -
Abstract Vehicles equipped with GPS localizers are an important sensory device for

 Revealing daily travel patterns and city structure with taxi trip data
X Liu, L Gong, Y Gong, Y Liu - arXiv preprint arXiv:1310.6592, 2013 -
Abstract: Detecting regional spatial structures based on spatial interactions is crucial in

 [PDF] Urban Mobility Dynamics Based on Flexible Discrete Region Partition
L Wang, K Hu, T Ku, J Wu -
Abstract: Understanding the urban mobility patterns is essential for the planning and