DocumentCode :
3773522
Title :
PBikeVis: Applied Visual Analytics for Public Bicycle System
Author :
XiaoYing Shi;ZhenHai Yu;HaiTao Xu;Jing Chen
Author_Institution :
Sch. of Comput. Sci. &
Volume :
1
fYear :
2015
Firstpage :
490
Lastpage :
493
Abstract :
Public Bicycle System(PBS) is one part of urban public transportation, with the advantage of pollution-free and flexibility. The behavior of people renting bicycles produces a large number of rental and return data. How to make better use of these data to provide decision supporting for managers is a big challenge. This paper designs a visualization system called PBikeVis, which can help users choose interested station between massive bicycle stations quickly, look over the short-term and long-term circulation amounts of each station visually, and find the bike rental rules under different space and temporal granularity. PBikeVis allows non-expert users to explore the data characteristics of Public Bicycle System interactively, in order to understand the transit trip rules of residents and identify how busy the station is.
Keywords :
"Bicycles","Data visualization","Lakes","Urban areas","Image color analysis","Moon","Visual analytics"
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
Print_ISBN :
978-1-4673-9586-1
Type :
conf
DOI :
10.1109/ISCID.2015.187
Filename :
7469000
Link To Document :
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