AI in Action: How the Hong Kong Development Bureau Built the PSS, an Early-Warning-Sign System for Public Works Projects
- Bent Flyvbjerg,
- Alexander Budzier,
- Ricky LAU Chun-kit,
- Karlene Agard,
- Andreas Leed
- ,
- ,
- Saïd Business School, University of Oxford
Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 26/08/2022
Publication status
Published - 26/08/2022
Abstract
Hong Kong has a large volume of construction works currently taking place; this will increase further and faster in the coming years. Hong Kong’s projects typically come in 15% under budget. However, ten per cent of local projects over-run their budgets, with a total overspend of eight percent. Some flagship projects have over-run their budgets and completion dates, causing public embarrassment. It is considered crucial to get these cost and schedule estimates under control. We investigated whether Artificial Intelligence (AI) can play a part in accurately predicting these outcomes and in identifying ahead of time when a project is going off track, allowing early intervention.
