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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
Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to conference - NOT published in proceeding or journal
Paper
Peer-review

Original language

English

Publication 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.