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Wei Zeng, Chi-Wing Fu, Stefan Müller Arisona, Alexander Erath, Huamin Qu IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST'14) vol. 20, no. 12, pp. 1833-1842, 2014. Abstract: Public transportation systems (PTS) play an important role in modern cities, providing shared/massive transportation services that are essential for the general public. However, due to their increasing complexity, designing effective methods to visualize and explore PTS is highly challenging. Most existing techniques employ network visualization methods and focus on showing the network topology between stops while ignoring various mobility-related factors such as riding time, transfer time, waiting time, and round-the-clock patterns. This work aims to explore and visualize the passenger mobility in a PTS with a family of analytical tasks based on inputs from transportation researchers. After exploring different design alternatives, we come up with an integrated solution with three visualization modules: isochrone map view for geographical information, isotime flow map view for effective temporal information comparison and manipulation, and OD-pair journey view for detailed visual analysis of mobility factors along routes between origin-destination pairs. The isotime flow map linearizes a flow map into a parallel isoline representation, maximizing the visualization of mobility information along the horizontal time axis while presenting clear and smooth pathways from origin to destinations. Moreover, we also devise several interactive visual query methods, allowing users to easily explore dynamics on the mobility of PTS over space and time. Lastly, we constructed a PTS mobility model from millions of real passenger trajectories, and evaluate our visualization techniques with assorted case studies with the transportation researchers.