Multi-scale and Interactive Visual Analysis of Public Bicycle System = Multi-scale and Interactive Visual Analysis of Public Bicycle System

다국어 초록 (Multilingual Abstract)

Public bicycle system (PBS) is a new emerging and popular mode of public transportation. PBS data can be adopted to analyze human movement patterns. Previous work usually focused on specific scales, and the relationships between different levels of hierarchies are ignored. In this paper, we introduce a multi-scale and interactive visual analytics system to investigate human cycling movement and PBS usage condition. The system supports level-of-detail explorative analysis of spatio-temporal characteristics in PBS. Visual views are designed from global, regional and microcosmic scales. For the regional scale, a bicycle network is constructed to model PBS data, and an flow-based community detection algorithm is applied on the bicycle network to determine station clusters. In contrast to the previous used Louvain algorithm, our method avoids producing super-communities and generates better results. We provide two cases to demonstrate how our system can help analysts explore the overall cycling condition in the city and spatio-temporal aggregation of stations.

참고문헌 (Reference)

1 J. Wood, "Visualizing the dynamics of London's bicycle-hire scheme" 46 (46): 239-251, 2011

2 N. Andrienko, "Visual analytics of movement : An overview of methods, tools and procedures" 12 (12): 3-24, 2013

3 Y. Yan, "Visual analytics of bike-sharing data based on tensor factorization" 21 (21): 495-509, 2018

4 G. Oliveira, "Visual analysis of bike-sharing systems" 60 : 119-129, 2016

5 X. Shi, "Visual Analysis of Station Usage Patterns in Public Bicycle System" 132-135, 2016

6 X. Zhou, "Understanding spatiotemporal patterns of biking behavior by analyzing massive bike sharing data in Chicago" 10 (10): e0137922-, 2015

7 Y. Li, "Traffic prediction in a bike-sharing system" 33-, 2015

8 X. Shi, "The visual analysis of flow pattern for public bicycle system" 45 : 51-60, 2018

9 M. Austwick, "The structure of spatial networks and communities in bicycle sharing systems" 8 (8): e74685-, 2013

10 R. Beecham, "Studying commuting behaviours using collaborative visual analytics" 47 : 5-15, 2014

11 J. Corcoran, "Spatio-temporal patterns of a Public Bicycle Sharing Program : the effect of weather and calendar events" 41 : 292-305, 2014

12 P. Borgnat, "Shared bicycles in a city : A signal processing and data analysis perspective" 14 (14): 415-438, 2011

13 L. Chen, "Sensing the pulse of urban activity centers leveraging bike sharing open data" 135-142, 2015

14 J. Froehlich, "Sensing and Predicting the Pulse of the City through Shared Bicycling" 1420-1426, 2009

15 J. Wood, "Moving beyond sequential design : Reflections on a rich multi-channel approach to data visualization" 20 (20): 2171-2180, 2014

16 Z. Yang, "Mobility modeling and prediction in bike-sharing systems" 165-178, 2016

17 M. Rosvall, "Maps of random walks on complex networks reveal community structure" 105 (105): 1118-1123, 2008

18 R. Nair, "Large-scale vehicle sharing systems : analysis of Vélib'" 7 (7): 85-106, 2013

19 A. Bargar, "Interactive visual analytics for multi-city bikeshare data analysis" 2014

20 A. Goodman, "Inequalities in the London bicycle sharing system revisited : impacts of extending the scheme to poorer areas but then doubling prices" 41 : 272-279, 2014

21 M. Lu, "Frontier of Information Visualization and Visual Analytics in 2016" 20 (20): 667-686, 2017

22 M. Vogel, "From bicycle sharing system movements to users : a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset" 41 : 280-291, 2014

23 V. Blondel, "Fast unfolding of communities in large networks" 2008 : 10008-, 2008

24 R. Beecham, "Exploring gendered cycling behaviours within a large-scale behavioural data-set" 37 (37): 83-97, 2014

25 X. Shi, "Clustering the stations of bicycle sharing system" 33 (33): 968-972, 2016

26 E. Fishman, "Bikeshare : A review of recent literature" 36 (36): 92-113, 2016

27 M. Ricci, "Bike sharing : A review of evidence on impacts and processes of implementation and operation" 15 : 28-38, 2015

28 P. Borgnat, "A dynamical network view of lyon’s vélo’v shared bicycle system" 2 : 267-284, 2013

29 X. Shi, "A Visual Analysis Approach for Inferring Personal Job and Housing Locations Based on Public Bicycle Data" 6 (6): 205-, 2017