dc.contributor.author | Pérez-Messina, Ignacio | en_US |
dc.contributor.author | Graells-Garrido, Eduardo | en_US |
dc.contributor.editor | Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta | en_US |
dc.date.accessioned | 2019-06-02T18:14:25Z | |
dc.date.available | 2019-06-02T18:14:25Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-3-03868-090-1 | |
dc.identifier.uri | https://doi.org/10.2312/evs.20191165 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evs20191165 | |
dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Information visualization | |
dc.subject | Visual analytics | |
dc.title | Visualizing Transportation Flows with Mode Split using Glyphs | en_US |
dc.description.seriesinformation | EuroVis 2019 - Short Papers | |
dc.description.sectionheaders | Design and Evaluation | |
dc.identifier.doi | 10.2312/evs.20191165 | |
dc.identifier.pages | 25-29 | |