Bicycle has become a common transport means of the general public in public travel. The distribution range of Hangzhou public bicycle system has covered the whole Hangzhou. Visualization and analysis method of study of public bicycle system includes gaining each station's rental data by query, and historical statistic data including that of last week, yesterday and today. Furthermore, the users can select some stations and this system will show their statistic data in one graph in order to realize the trend of an area by interactive analysis to help people fully understand and analyze data and forecast each station's rental trend.
1 Demaio PJ. Smart bikes:Public transportation for the 21st century. Transportation Quarterly, 2003, 57(1).
2 Munzner T. Process and pitfalls in writing information visualization research papers. Information Visualization. Springer Berlin Heidelberg, 2008:134-153.
3 Wood J, Slingsby A, Dykes J. Visualizing the dynamics of London's bicycle-hire scheme. Cartographica:The International Journal for Geographic Information and Geovisualization, 2011, 46(4):239-251.
4 Beecham R, Wood J, Bowerman A. A visual analytics approach to understanding cycling behaviour. 2012 IEEE Conference on Visual Analytics Science and Technology(VAST). IEEE. 2012. 207-208.
5 Aldred R. On the outside':constructing cycling citizenship. Social & Cultural Geography, 2010, 11(1):35-52.
8 Lathia N, Ahmed S, Capra L. Measuring the impact of opening the London shared bicycle scheme to casual users. Transportation Research Part C:Emerging Technologies, 2012, 22:88-102.
9 von Landesberger T, Bremm S, Andrienko N, et al. Visual analytics methods for categoric spatio-temporal data. 2012 IEEE Conference on Visual Analytics Science and Technology(VAST). IEEE. 2012. 183-192.
10 Fry B. Visualizing data:exploring and explaining data with the processing environment. O'Reilly Media, Inc., 2008.
11 Yau N. Visualize this:the FlowingData guide to design, visualization, and statistics. Wiley.com, 2011.
12 Lliinsky N. Beautiful Visualization:Looking at data through the eyes of experts. O'Reilly Media, Inc., 2010.