Abstract
Emerging technologies are reshaping the valuation of Australian public sector assets. It reviews hardware innovations, including drones, 360-degree cameras, LiDAR and augmented reality headsets, which extend inspector reach, enhance safety and produce rich georeferenced evidence. It then examines data-centric tools: open-portal Geographic Information Systems (GIS) layers, high-resolution satellite imagery, machine learning classifiers for condition scoring, and predictive artificial intelligence (AI) platforms now piloting statutory valuations. Governance and procurement implications are addressed, including the 2024 Australian Public Service policy on responsible AI, Essential 8 cybersecurity requirements and five-gate tender frameworks. The chapter argues that while technology accelerates processing, raises auditability and supports whole-of-life asset management, it also introduces new risks—privacy, algorithmic bias, skills gaps and operational dependency—that demand ‘human-in-the-loop’ oversight, robust data standards and sustained staff training. Case studies from Queensland and New South Wales demonstrate gains in inspection efficiency and valuation accuracy. Practical recommendations help valuers, auditors and asset managers adopt innovation responsibly and cost-effectively.
| Original language | English |
|---|---|
| Title of host publication | Advancing Real Property Valuation: AI, Drones and Emerging Digital Technologies in Professional Practice and Education |
| Editors | Johari Amar, Lynne Armitage |
| Place of Publication | United Kingdom |
| Publisher | Routledge |
| Chapter | 6 |
| Pages | 107-126 |
| Number of pages | 20 |
| ISBN (Electronic) | 9781003539254 |
| ISBN (Print) | 9781032872117 |
| DOIs | |
| Publication status | Published - 1 Jan 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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