Skip to Content (custom)
Member Exclusive

Using Precursor Analysis to Prevent Low-frequency High-impact Events, Including Fatalities

Event Date
Aug 01, 2016
Type
Conference Presentation - Plenary
Research Team
RT-321
Slides
9
Topic
Using Precursor Analysis to Prevent Low-Frequency High-Impact Events, Including Fatalities
DOCUMENT DETAILS
Abstract
Filters & Tags
Abstract
The ultimate goal of RT-321 was to create a precursor analysis protocol for construction that enables practitioners to:       Assess conditions in a leading fashion     Identify the presence, and quantify, of precursors in a structured and methodical fashion     Predict and prevent the potential for a fatal or disabling event  Using a combination of literature review, input from industry experts, empirical data collection, a series of randomized and blinded experiments, and objective multivariate statistical analyses, the team was able to achieve the aforementioned goal. This project yielded the construction industry’s first valid and reliable method for identifying leading conditions that predict high-impact, low-frequency (HILF) events. The implementation resource IR321-2 Guide to implementing precursor analysis in construction provides guidance for identifying conditions that have the potential for severe or fatal injuries based on the concept of energy, identifying the presence of anomalous conditions (precursors) that precede fatal and disabling events via a strategic discussion with a work crew, and correcting deficiencies.   IR321-2 includes a tool to predict the occurrence of construction fatalities (the precursor analysis protocol and a precursor analysis scorecard).
Filters & Tags
Best Practice
Project Phase
Research Topic
Using Precursor Analysis to Prevent Low-Frequency High-Impact Events, Including Fatalities
Keywords
Safety and health, Precursor analysis, Proactive safety, Fatalities, Probabilistic Risk Analysis, High energy, rt321