In collaboration with the University of NSW, this project focuses on building a highly interactive geo-visualisation toolkit for accessing automated land valuation models through to more complex land value uplift models. This will enable land valuers, city councils, state government policy and decision-makers and industry to collaboratively explore and test hypotheses connected with the likely causes of land valuation changes in relation to infrastructure decision. 

Outline

Rapid Analytics Interactive Scenario Explorer (RAISE) Toolkit is a collaboration between the University of New South Wales City Futures Research Centre, New South Wales Land and Property Information, and Queensland University of Technology.

Launched April 2016 the focus of the research is the development of a toolkit for interactive, scenario-based exploration of land valuation and value uplift.

When completed, the toolkit will allow land valuers to more rapidly explore and test hypotheses connected with the likely causes of land valuation changes. For example, current and future land values are influenced by a property’s amenity. This includes its views and proximity to other features such as water, public transport, health and educational facilities. These factors are inherently geospatial and as such can be quantified and included in the land valuation models to be developed in this project. 

Developing this toolkit requires innovation in three key areas:

  1. New spatial visualisation techniques capable of supporting rapid feedback, collaborative exploration and hypothesis formulation. This will be initially tested on different land valuation models
  2. New capabilities for linking diverse geospatial and crowdsourced data sets
  3. A new open and cloud-based architecture for drawing together data, models, and visualisation in an efficient platform that is intuitive and easy to use by actors in a group based decision-making environment. The approach will be validated through a case study approach, which will incorporate a suite of hedonic pricing models ranging from automated land valuation models through to more complex land value uplift models.

major milestones and deliverables

  • First six months will be a series of co-design workshops with project partners and collaborators
  • By the beginning of year two we anticipate having developed a detailed land valuation case study for Sydney
  • Also by the beginning of year two we anticipate having a land value uplift – future infrastructure case study
  • Final report to be complete mid-way through year two of the project

 CONTACTS

ChrisChris Pettit
UNSW Co-project Lead
Email

 

Zawodny1Bradley Zawodny
LPI Co-project Lead
Email

 

Bednarz1Associate Prof Tomasz Bednarz
QUT Researcher
Email

 

foth1Prof Marcus Foth
QUT Researcher
Email

 

picture 233 1450330146HoonDr Hoon Han
UNSW Researcher
Email

 

Murad1Murad Jamal
UNSW Researcher
Email

 

ScottDr Scott Lieske
UNSW Researcher
Email

 

Mitchell1Dr Peta Mitchell
QUT
Email

 

RittenbruchDr Markus Rittenbruch
QUT Researcher
Email