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Understanding the Effect of Co-worker Support on Construction Safety Performance From the Perspective of Risk Theory: an Agent-based Modeling Approach

Author(s):


Medium: journal article
Language(s): Latvian
Published in: Journal of Civil Engineering and Management, , n. 2, v. 25
Page(s): 132-144
DOI: 10.3846/jcem.2019.7642
Abstract:

Co-worker safety support has been given prominence in manufacturing and transportation field for its positive effect on individual workers’ safety; however, there is little evidence to show if such supporting role of co-workers is significant in improving project-level safety performance in construction workplace. This study adopts agent-based modeling (ABM) to understand the effectiveness of two distinct co-worker-safety-support actions on the safety performance of a construction project. Based on the risk theory, the ABM model simulates a construction site where worker agents reinforce steel bars with the likelihood of suffering crane-related incidents. The results indicate that both co-worker-support actions can significantly reduce the occurrence of nonfatal incidents but shows little influence in fatal incidents, and in reducing high-severity incidents, the action of warning peers to leave the hazardous area has the same effectiveness as reminding peers to wear Personal Protective Equipment. The present study provides a fresh insight into the safety-related role of co-workers: not only reveals how the local-level effects of co-workers’ safety assistance emerge the system-level consequences, but demonstrates the effectiveness of specific peer-support actions on three levels of construction safety performance, and thereby extends our existing body of knowledge on co-worker safety support in the construction field.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3846/jcem.2019.7642.
  • About this
    data sheet
  • Reference-ID
    10354178
  • Published on:
    13/08/2019
  • Last updated on:
    13/08/2019
 
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