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

@InProceedings{Dunne2016QuantitativeQualitativeHistorical,
  author    = {Dunne, Cody and Skelton, Carl and Diamond, Sara and Meirelles, Isabel and Martino, Mauro},
  booktitle = {Proc. Distributed, Ambient and Pervasive Interactions, Held as Part of HCI International},
  title     = {{Q}uantitative, qualitative, and historical urban data visualization tools for professionals and stakeholders},
  year      = {2016},
  note      = {Preprint: http://icity.utoronto.ca/Asset/ProjectPresentations/Project3.1/5%20HCI2016_DunneSkeltonDiamond.pdf},
  pages     = {405-416},
  publisher = {Springer International Publishing},
  series    = {DAPI},
  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.},
  doi       = {10.1007/978-3-319-39862-4_37},
  isbn      = {978-3-319-39862-4},
}

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