Visualizing Transportation Flows with Mode Split using Glyphs

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dc.contributor.authorPĂ©rez-Messina, Ignacioen_US
dc.contributor.authorGraells-Garrido, Eduardoen_US
dc.contributor.editorJohansson, Jimmy and Sadlo, Filip and Marai, G. Elisabetaen_US
dc.date.accessioned2019-06-02T18:14:25Z
dc.date.available2019-06-02T18:14:25Z
dc.date.issued2019
dc.description.abstractThe 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.en_US
dc.description.sectionheadersDesign and Evaluation
dc.description.seriesinformationEuroVis 2019 - Short Papers
dc.identifier.doi10.2312/evs.20191165
dc.identifier.isbn978-3-03868-090-1
dc.identifier.pages25-29
dc.identifier.urihttps://doi.org/10.2312/evs.20191165
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20191165
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectInformation visualization
dc.subjectVisual analytics
dc.titleVisualizing Transportation Flows with Mode Split using Glyphsen_US
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