Visualizing Waypoints‐Constrained Origin‐Destination Patterns for Massive Transportation Data |
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Authors: | W. Zeng C.‐W. Fu S. Müller Arisona A. Erath H. Qu |
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Affiliation: | 1. Future Cities Laboratory, ETH Zurich, Switzerland;2. Nanyang Technological University, Singapore;3. The Chinese University of Hong Kong, Hong Kong;4. University of Applied Sciences and Arts Northwestern Switzerland FHNW, Switzerland;5. The Hong Kong University of Science & Technology, Hong Kong |
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Abstract: | Origin‐destination (OD) pattern is a highly useful means for transportation research since it summarizes urban dynamics and human mobility. However, existing visual analytics are insufficient for certain OD analytical tasks needed in transport research. For example, transport researchers are interested in path‐related movements across congested roads, besides global patterns over the entire domain. Driven by this need, we propose waypoints‐constrained OD visual analytics, a new approach for exploring path‐related OD patterns in an urban transportation network. First, we use hashing‐based query to support interactive filtering of trajectories through user‐specified waypoints. Second, we elaborate a set of design principles and rules, and derive a novel unified visual representation called the waypoints‐constrained OD view by carefully considering the OD flow presentation, the temporal variation, spatial layout and user interaction. Finally, we demonstrate the effectiveness of our interface with two case studies and expert interviews with five transportation experts. |
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Keywords: | visual analytics visualization user interface design OD pattern transportation data waypoints‐constrained H.5.2 [Information Interfaces and Presentation]: User Interfaces‐Evaluation/Methodology I.3.8 [Computer Graphics]: Application‐Geographical Visualization |
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