Pérez-Messina, IgnacioGraells-Garrido, EduardoJohansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta2019-06-022019-06-022019978-3-03868-090-1https://doi.org/10.2312/evs.20191165https://diglib.eg.org:443/handle/10.2312/evs20191165The increasing trend of using unconventional data in urban planning environments has led to the need for developing systems that can visualize this data. Here we present a visualization for studying commuting flows within a city, with a particular focus on the distribution of mode of transportation usage. Our design, called ModalCell, uses a glyph-based flow map to show a city's flows considering mode split, direction, and distance range. We evaluate ModalCell with a pilot survey and a use case that shows the potential of the approach to make flows within a city visible and understandable.Humancentered computingInformation visualizationVisual analytics10.2312/evs.2019116525-29