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contributor authorTarcisio Abreu Saurin
contributor authorCarlos Torres Formoso
contributor authorRaquel Reck
contributor authorBernardo Martim Beck da Silva Etges
contributor authorJosé Luis Duarte Ribeiro
date accessioned2017-05-08T22:30:42Z
date available2017-05-08T22:30:42Z
date copyrightSeptember 2015
date issued2015
identifier other47632766.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81792
description abstractIncident reporting systems (IRSs) are well-known for producing proactive information for safety management. However, there is little guidance on how the analysis of IRSs can provide feedback for improving those systems. Thus, the question addressed in the research reported in this paper is stated as, how can the analysis of IRSs support the identification of opportunities for improving their design? Case studies were carried out in the IRSs of three construction companies. A qualitative analysis of the IRSs was made, based on semistructured interviews, participant observation, direct observation in construction sites, and analysis of documents. A quantitative analysis was made of 946 incidents reported in 16 construction sites. Those events were classified according to types, severity, duration of latent conditions, and number of reports per reporter. The contribution of the research reported in this paper is three-fold, as follows: (1) there were lessons learned from the analysis of IRSs, indicating how existing data could be explored further; (2) based on those lessons, a set of guidelines for the design of IRSs was produced; and (3) quantitative analysis of incident reports was a contribution in itself, given the scarcity of empirical studies about predecessor events of accidents. The findings are expected to be useful for those designing and operating IRSs in the construction industry.
publisherAmerican Society of Civil Engineers
titleFindings from the Analysis of Incident-Reporting Systems of Construction Companies
typeJournal Paper
journal volume141
journal issue9
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0000988
treeJournal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 009
contenttypeFulltext


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