Large-scale taxi O/D visual analytics for understanding metropolitan human movement patterns

Xiaorui Jiang, Chunyi Zheng, Ya Tian, Ronghua Liang

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


It is very useful to understand metropolitan human movement patterns for better city planning and traffic management. As the most accessible and wide-coverage data source for probing the laws behind city pulse and human movement, taxi O/D data have been receiving more and more attention from road traffic administration offices. In this paper, we design a visual analysis system for big taxis O/D data for assisting understanding the spatio-temporal patterns of human mobility. The system first helps users determine the regions of interest for further investigation by the global heat map view of O/D distributions; visually encodes the spatio-temporal patterns of the O/D data of the to-be-analyzed regions chosen by lasso or rectangle region selection tools; and provides a multi-dimensidoneonal analysis of the latent spatio-temporal patterns of taxis O/D data through interactions between multiple coordinated views of visualizations including circular pixel graph, spatio-temporal stacked graph and nested pixel bar. The proposed system of taxis O/D data visual analysis gets interesting findings about the metropolitan residents’ movement behavior when applied to large-scale real taxis GPS data in Hangzhou and receives good user feedbacks.
Original languageEnglish
Pages (from-to)185-200
Number of pages16
JournalJournal of Visualization
Early online date14 Mar 2015
Publication statusPublished - May 2015
Externally publishedYes


  • Human movement patterns
  • Taxi O/D data
  • Visual analytics
  • Spatio-temporal visualization


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