Quantitative, Qualitative, and Historical Urban Data Visualization Tools for Professionals and Stakeholders

  • Cody Dunne
  • Carl SkeltonEmail author
  • Sara Diamond
  • Isabel Meirelles
  • Mauro Martino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9749)


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.


Visualization Quantitative data Qualitative data Historical data Transportation planning Urban systems Information technology 



This work is supported by the Ontario Research Fund – Research Excellence Round 7, under the project iCity: Urban Informatics for Sustainable Metropolitan Growth and MITACS.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Cody Dunne
    • 1
  • Carl Skelton
    • 2
    Email author
  • Sara Diamond
    • 2
  • Isabel Meirelles
    • 2
  • Mauro Martino
    • 1
  1. 1.IBM – Watson Health – Cognitive Visualization LabCambridgeUSA
  2. 2.OCAD University – Visual Analytics LabTorontoCanada

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