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contributor authorEstacio Pereira
contributor authorSeungjun Ahn
contributor authorSangUk Han
contributor authorSimaan Abourizk
date accessioned2022-01-30T19:49:59Z
date available2022-01-30T19:49:59Z
date issued2020
identifier other%28ASCE%29ME.1943-5479.0000738.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266056
description abstractUnderstanding the causal relationships between safety management system (SMS) factors and accident precursors helps construction organizations identify which factors require improvement upon observing an accident precursor. Previous research has not clearly distinguished between SMS factors and accident precursors. This background examines the relationships between SMS factors and accident precursors using empirical data. Specifically, five structural equation models (SEMs) were developed to map causal paths between SMS factors and accident precursors. Each of the SEMs helps identify what specific SMS factors would have a significant influence on the occurrence of a particular type of accident precursor. These models can thus help describe what specific SMS factors would need to be improved when a certain type of accident precursor appears on site. The SEM results show in particular that the occurrence of accident precursors can be attributed largely to adverse project conditions such as project schedule pressure, reworks, and change orders. Construction organizations may capitalize on these findings by prioritizing safety management resources to address specific observed accident precursors in a more informed and targeted manner.
publisherASCE
titleFinding Causal Paths between Safety Management System Factors and Accident Precursors
typeJournal Paper
journal volume36
journal issue2
journal titleJournal of Management in Engineering
identifier doi10.1061/(ASCE)ME.1943-5479.0000738
page04019049
treeJournal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 002
contenttypeFulltext


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