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A resilience safety climate model predicting construction safety performance.

Authors :
Chen, Yuting
McCabe, Brenda
Hyatt, Douglas
Source :
Safety Science. Nov2018, Vol. 109, p434-445. 12p.
Publication Year :
2018

Abstract

Safety climate has the potential to affect construction safety performance. The current focus of construction safety climate research has been on management commitment, safety rules and procedures, housekeeping and safety equipment, supervisor and coworker safety perception. However, other aspects, such as reporting and preparedness, that are also critical to safety performance, are rarely measured. In the meantime, safety plateau in the construction industry has been observed in many countries; and there are less and less injury data, which has made safety performance prediction more and more difficult. All of this has necessitated us looking for a new approach. Resilience, that is a concept under development, has shown its ability to continuously improve safety performance. Thus, to enhance the existing safety climate model, this paper developed a concept called Safety Climate Resilience (SC R ) by introducing resilience to safety climate. SC R is measured by seven dimensions including management commitment, supervisor safety perception, coworker safety perception, learning, reporting, anticipation, and awareness. Based on 431 self-administered surveys from 68 construction sites in Ontario, Canada, SC R measure model was validated and the interactions of the seven factors of SC R model were also investigated. This paper leads to several conclusions. First, a resilience safety climate model was built and firstly applied to the construction industry. Second, commitment from all organizational levels, from top management, to site level, and to individual level, is the key to promoting a better safety performance. Third, safety awareness is the most important individual factor affecting the safety performance of construction workers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09257535
Volume :
109
Database :
Academic Search Index
Journal :
Safety Science
Publication Type :
Academic Journal
Accession number :
130720464
Full Text :
https://doi.org/10.1016/j.ssci.2018.07.003