Finding Causal Paths between Safety Management System Factors and Accident Precursors

被引:44
|
作者
Pereira, Estacio [1 ]
Ahn, Seungjun [2 ]
Han, SangUk [3 ]
Abourizk, Simaan [4 ]
机构
[1] Univ Nottingham, Dept Civil Engn, Coates Bldg,Univ Pk, Nottingham NG7 2RD, England
[2] Univ South Australia, Sch Nat & Built Environm, North Terrace & Frome Rd, Adelaide, SA 5001, Australia
[3] Hanyang Univ, Dept Civil & Environm Engn, 222 Wangsimni Ro, Seoul 133791, South Korea
[4] Univ Alberta, Dept Civil & Environm Engn, 7-203 D-ICE,9211 116 St, Edmonton, AB T6G 1H9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
CONSTRUCTION SAFETY; LEADING INDICATORS; BEHAVIOR; MODEL; PERFORMANCE; PRESSURE;
D O I
10.1061/(ASCE)ME.1943-5479.0000738
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Understanding 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.
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收藏
页数:11
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