Digital technology and infrastructure productivity
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This technical report explores which digital technologies, not yet adopted at scale in Victoria, can best boost productivity in the infrastructure sector by 2030.
The report shortlists 5 technologies, assessed from a list of 25, with the biggest potential to reduce time and material costs and increase benefits:
- robotics
- advanced data analytics
- geospatial technologies
- advanced imaging
- machine learning and artificial intelligence (AI).
The report explores 5 test cases to measure the potential benefits:
- machine learning and artificial intelligence in school and kindergarten construction
- robotics in water utilities inspections and maintenance
- advanced imaging for subsurface inspections in road construction
- building information modelling for drawingless design and construction of social housing
- geospatial hazard management for flood and fire.
Key findings
Digital technologies can unlock millions in economic benefits.
Robotics have the greatest near-term and long-term impact. They also require the greatest investment to be adopted at scale.
Geospatial technologies are well developed and can deliver benefits at less cost, but also a lower overall benefit.
A new workforce of specialists will be needed to support the increased use of digital technologies across the infrastructure sector.
Options
The report identifies 5 actions for the Victorian Government to support adoption of digital technologies:
- build industry willingness and understanding of digital technology applications, benefits and procurement
- develop the required specialist workforce
- use the government’s purchasing power consistently
- support interdependent technologies to ensure impact is not held back by the slowest mover
- develop frameworks to support the safe development and adoption of technologies.
- File format and size
- PDF • 3MB
Download - Type
- Research report
- Published
- 2024