Analyzing risk factors in crane-related near-miss and accident reports. (January 2017)

• Record Type: Journal Article
• Authors: Raviv, Gabriel; Fishbain, Barak; Shapira, Aviad
• Is Part Of: Safety science. Volume 91(2016)
• Page Start: 192
• Page End: 205
• Publication Date: 2017-01
• Subjects: Accidents -- Cluster analysis -- Near misses -- Tower cranes -- Construction -- Safety; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2016.08.022
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: Near-miss definitions lead to incident severity outcome scale. Tower-crane-related incident taxonomy is suggested for evaluating near misses. Crane related incident database is suggested as a basis for risk-potential analysis. Cluster analysis is used for evaluating crane-related safety-incident risk potential. Technical failures are the most hazardous factors in tower crane work environment. Abstract: Learning lessons from near-miss reports is a well-known procedure in various high-hazard industries. The construction industry tends to adopt near-miss management systems, but the procedure is relatively new and has not yet been fully explored or understood. Although the management of near-miss reporting systems in construction has been investigated, no effort appears to have been made to suggest a methodology for technically investigating the content of near-miss reported events. This paper reports a study that implemented both qualitative and quantitative analysis methods for a structured investigation of tower-crane-related incident stories (near misses and accidents). The study began by collecting a large number of incident stories (51 accidents and 161 near misses) that were qualitatively analyzed to form an incident database that served as raw material for further quantitative analyses. The database structure definitions contained categories, which in turn contained variables, such as defining the event severity outcomes on a six-point scale from '1' – near miss to '6' – fatality. Further quantitative analysis suggests comparing groups of similar or identical incidents. The groups (clusters) were established by implementing k -means clustering based on the database definitions as variables. The relative risk potential of each cluster was then quantified by comparing each cluster's severity outcome occurrences to those of the other clusters and to the entire database as well. Findings from the analyses suggest that technical failures are the most hazardous risk factors within the tower crane domain.