A new toolkit for land value analysis and scenario planning

Chris Pettit, Y Shi, H Han, M Rittenbruch, M Foth, S Lieske, R van den Nouwelant, P Mitchell, S Leao, B Christensen and M Jamal
Additional contact information
H Han: University of New South Wales, Australia
M Foth: 1969Queensland University of Technology, Australia
S Lieske: The 1974University of Queensland, Australia
R van den Nouwelant: 6489Western Sydney University, Australia
P Mitchell: 1969Queensland University of Technology, Australia
S Leao: University of New South Wales, Australia
B Christensen: 1969Queensland University of Technology, Australia

Environment and Planning B, 2020, vol. 47, issue 8, 1490-1507

Abstract: Abstract In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred research approach including iterative design, prototyping and evaluation. Tool development was informed by user inputs obtained through a series of co-design workshops with two end-user groups: land valuers and urban planners. The paper outlines the underlying technical architecture of the toolkit, which has the ability to perform rapid calculations and visualise the results, for the end-users, through an online mapping interface. The toolkit incorporates an ensemble of hedonic pricing models to calculate and visualise value uplift and so enable the user to explore what if? scenarios. The toolkit has been validated through an iterative case study approach. Use cases were related to two policy areas: property and land valuation processes (for land taxation purposes) and value uplift scenarios (for value capture purposes). The cases tested were in Western Sydney, Australia. The paper reports on the results of the ordinary least square linear regressions – used to explore the impacts of hedonic attributes on property value at the global level – and geographically weighted regressions – developed to provide local estimates and explore the varying spatial relationships between attributes and house price across the study area. Building upon the hedonic modelling, the paper also reports the value uplift functionality of the Rapid Analytics Interactive Scenario Explorer toolkit that enables users to drag and drop new train stations and rapidly calculate expected property prices under a range of future transport scenarios. The Rapid Analytics Interactive Scenario Explorer toolkit is believed to be the first of its kind to provide this specific functionality. As it is problem and policy specific, it can be considered an example of the next generation of data-driven planning support system.

Keywords: What-if scenarios; planning support system; big data; value uplift; land economics (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:47:y:2020:i:8:p:1490-1507

DOI: 10.1177/2399808320924678

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