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