Quantitative, qualitative, and historical urban data visualization tools for professionals and stakeholders

Illustration of several different data sources combined.
Mockup qualitative extension to the StoryFacets trail view incorporating visualizations alongside annotations and comments with text labels, images, videos, and webpage mashups including the visualization from MBTAVis at http://mbtaviz.github.io/.
Abstract
Existing technologies for transportation planning, urban design, and decision-making have not kept pace with rapid urbanization. Visualization and analysis tools can help by combining qualitative, quantitative, and historical urban data — helping experts understand the system of systems of the modern city. Incorporating insights from experts in several relevant fields, we have derived a performance specification for visualization tools supporting general transportation planning problems . We examine two existing technologies against the specification — Betaville and StoryFacets — and recommend adapting them as first-generation urban system analysis/planning support tools. We also suggest guidelines for the next generation of tools for transportation planning.
Materials
DOI | BibTeX
Authors
Carl Skelton
Sara Diamond
Isabel Meirelles
Mauro Martino
Citation
Thumbnail image for publication titled: Quantitative, qualitative, and historical urban data visualization tools for professionals and stakeholders
Quantitative, qualitative, and historical urban data visualization tools for professionals and stakeholders

Cody Dunne, Carl Skelton, Sara Diamond, Isabel Meirelles, and Mauro Martino. In Proc. Distributed, Ambient and Pervasive Interactions, Held as Part of HCI International—DAPI. 2016. DOI: 10.1007/978-3-319-39862-4_37

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Khoury Vis Lab — Northeastern University
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