RMIT University
Browse

Advancing predictive indicators to prevent construction accidents

conference contribution
posted on 2024-10-31, 21:08 authored by Thomas Mills, Michelle TurnerMichelle Turner, Charles (Chuck) Pettinger
This discussion paper presents the concept of using predictive indicators and data analytics to identify and prevent future construction accidents and injuries. All contractors in the United States employing more than 10 people are required to collect and report work related safety and health incidents to government agencies. Often this is the extent of the health and safety data collected. Industry may compile this data into spreadsheets to conduct minor analysis and reporting. Through a literature review and a sampling of contractors the findings suggests that a key gap exists in awareness, identification, and utilization of predictive indicators and minimal use of data analytics for predictive purposes. Recommendations suggest that construction professionals and academics transform the discussion of leading indicators into predictive indicators and use data analytics for future incident forecasting and injury prevention.

History

Related Materials

  1. 1.
    ISBN - Is published in 9781920508784 (urn:isbn:9781920508784)
  2. 2.

Start page

459

End page

466

Total pages

8

Outlet

Proceedings of the Joint CIB W099 andTG59 International Safety, Health, and People in Construciton Conference 2017

Editors

F. Emuze and M. Behm

Name of conference

Towards better Safety, Health, Wellbeing, and Life in Construction

Publisher

Central University of Technology, Free State

Place published

Bloemfontein, South Africa

Start date

2017-06-11

End date

2017-06-13

Language

English

Copyright

© 2017 The Author(s)

Former Identifier

2006075015

Esploro creation date

2020-06-22

Fedora creation date

2017-07-04

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC