Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61719
Title: Understanding the relationship between safety investment and safety performance of construction projects through agent-based modeling
Authors: Lu, M
Cheung, CM
Li, H 
Hsu, SC 
Keywords: Agent-based modeling
Construction industry
Information technology
Safety investment
Safety performance
Issue Date: 2016
Publisher: Pergamon Press
Source: Accident analysis and prevention, 2016, v. 94, p. 8-17 How to cite?
Journal: Accident analysis and prevention 
Abstract: The construction industry in Hong Kong increased its safety investment by 300% in the past two decades; however, its accident rate has plateaued to around 50% for one decade. Against this backdrop, researchers have found inconclusive results on the causal relationship between safety investment and safety performance. Using agent-based modeling, this study takes an unconventional bottom-up approach to study safety performance on a construction site as an outcome of a complex system defined by interactions among a worksite, individual construction workers, and different safety investments. Instead of focusing on finding the absolute relationship between safety investment and safety performance, this study contributes to providing a practical framework to investigate how different safety investments interacting with different parameters such as human and environmental factors could affect safety performance. As a result, we could identify cost-effective safety investments under different construction scenarios for delivering optimal safety performance.
URI: http://hdl.handle.net/10397/61719
ISSN: 0001-4575
DOI: 10.1016/j.aap.2016.05.014
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
1
Last month
Citations as of Oct 2, 2018

WEB OF SCIENCETM
Citations

7
Last Week
0
Last month
Citations as of Oct 10, 2018

Page view(s)

78
Last Week
0
Last month
Citations as of Oct 15, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.