• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Multi-scale and Interactive Visual Analysis of Public Bicycle System


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.


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Cite this article

[IEEE Style]
X. Shi, Y. Wang, F. Lv, X. Yang, Q. Fang and L. Zhang, "Multi-scale and Interactive Visual Analysis of Public Bicycle System," KSII Transactions on Internet and Information Systems, vol. 13, no. 6, pp. 3037-3054, 2019. DOI: 10.3837/tiis.2019.06.015.

[ACM Style]
Xiaoying Shi, Yang Wang, Fanshun Lv, Xiaohang Yang, Qiming Fang, and Li Zhang. 2019. Multi-scale and Interactive Visual Analysis of Public Bicycle System. KSII Transactions on Internet and Information Systems, 13, 6, (2019), 3037-3054. DOI: 10.3837/tiis.2019.06.015.