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Using an Online Data Portal and Prototype Analysis Tools in an Investigation of Spatial Livability Planning

Author

Listed:
  • Ian D. Bishop

    (University of Melbourne, Melbourne, Australia)

  • Serryn Eagleson

    (University of Melbourne, Melbourne, Australia)

  • Christopher J. Pettit

    (University of New South Wales, Sydney, Australia)

  • Abbas Rajabifard

    (The University of Melbourne, Melbourne, Australia)

  • Hannah Badland

    (University of Melbourne, Melbourne, Australia)

  • Jennifer Eve Day

    (University of Melbourne, Melbourne, Australia)

  • John Furler

    (University of Melbourne, Melbourne, Australia)

  • Mohsen Kalantari

    (University of Melbourne, Melbourne, Australia)

  • Sophie Sturup

    (Xi'an Jiaotong-Liverpool University, Suzhou, China)

  • Marcus White

    (University of Melbourne, Melbourne, Australia)

Abstract

This paper introduces an online spatial data portal with advanced data access, analytical and visualisation capabilities which can be used for evidence based city planning and supporting data driven research. Through a case study approach, focused in the city of Melbourne, the authors show how the Australian Urban Infrastructure Network (AURIN) portal can be used to investigate a multi-facetted approach to understanding the various spatial dimension of livability. While the tools explore separate facets of livability (employment, housing, health service and walkability), their outputs flow through to the other tools showing the benefits of integrated systems.

Suggested Citation

  • Ian D. Bishop & Serryn Eagleson & Christopher J. Pettit & Abbas Rajabifard & Hannah Badland & Jennifer Eve Day & John Furler & Mohsen Kalantari & Sophie Sturup & Marcus White, 2017. "Using an Online Data Portal and Prototype Analysis Tools in an Investigation of Spatial Livability Planning," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 6(2), pages 1-21, April.
    • Handle: RePEc:igg:jepr00:v:6:y:2017:i:2:p:1-21
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    Cited by:

    1. Jennifer Day & Yiqun Chen & Peter Ellis & Mark Roberts, 2017. "A free, open-source tool for identifying urban agglomerations using polygon data," Environment Systems and Decisions, Springer, vol. 37(1), pages 68-87, March.

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