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 journalPaperResearchpeer-review

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.
Original languageEnglish
Publication date26 Aug 2022
Publication statusPublished - 26 Aug 2022

Keywords

  • AI
  • Artificial Intelligence
  • Project Management
  • Project Leadership
  • Cost overrun
  • Cost Control
  • Prediction

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