Probabilistic accident risk based on productivity for prefabricated structural system at large-scale industrial project

Jaemin Jeong, Jaewook Jeong

Research output: Contribution to journalArticlepeer-review

Abstract

Owing to the many accidents at cast-in-situ construction sites over several decades, prefabricated systems have been widely used as alternatives to reduce such accidents. Although studies have demonstrated that prefabricated systems are safer than conventional construction systems, relatively little research has considered the safety of prefabricated systems quantitative. In this study, we conduct an integrated analysis of productivity and safety through an uncertainty analysis based on a productivity analysis for prefabricated systems. The accident risk is based on the productivity analysis, which comprises three steps. This study provides an intuitive evaluation of productivity and safety by considering labor input. Through this method, it was determined that the prefabricated system outperforms the conventional system when considering both perspectives simultaneously. The practical implication of our findings lies in guiding decision-makers to prioritize prefabricated systems for construction projects, thereby enhancing results both productivity and safety. This study contributes to the literature by developing an evaluation method for risk analysis in connection with productivity to prove the superiority of prefabricated systems over conventional systems.

Original languageEnglish
Article number127628
JournalExpert Systems with Applications
Volume280
DOIs
StatePublished - 25 Jun 2025

Keywords

  • Accident Risk
  • Construction productivity
  • Euclid distance
  • Prefabricated system
  • Uncertainty analysis

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