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

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

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.

Keywords

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

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Cody Dunne
    • 1
  • Carl Skelton
    • 2
  • 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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