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 - dl.acm.org
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 - dl.acm.org
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 - arxiv.org
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 - downloads.hindawi.com
Abstract: Understanding the urban mobility patterns is essential for the planning and
