2009
DOI: 10.1016/j.ergon.2008.10.006
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An occupational safety risk analysis method at construction sites using fuzzy sets

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Cited by 158 publications
(67 citation statements)
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“…Law et al (2006) identified core safety management factors with respect to safety management systems (SMS) in the field of manufacturing enterprises using the analytic hierarchy process. Gürcanli and Müngen (2009) demonstrated useful parameters to assess workers' risk at a construction site using fuzzy sets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Law et al (2006) identified core safety management factors with respect to safety management systems (SMS) in the field of manufacturing enterprises using the analytic hierarchy process. Gürcanli and Müngen (2009) demonstrated useful parameters to assess workers' risk at a construction site using fuzzy sets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, "Working at heights" is already a sub-procedure of the "General demolition procedure". If an evaluation is to be made considering the previous studies it can be seen that the rate of accidents in demolition work in the construction sector has increased [11,12]. While falling is the first in the rank of the results of accidents in construction in general, the collapse of buildings is the first in demolition work.…”
Section: Classification Of Accidentsmentioning
confidence: 99%
“…It is inferred that the severity of the accidents in demolition work is quite high [11]. In another study by Gürcanlı (2006), he classified accidents in the construction and demolition industries between the years 1968 and 1999 according to witness reports analyzed by science academics [12]. The researchers believe that the accident data obtained from the Turkish Statistical Institute and Social Security Institution are not precise enough.…”
Section: Introductionmentioning
confidence: 99%
“…To deal with the problems of current risk assessment tools, many researchers have developed new methods [45][46][47][48]. One of these methods is the FRAM, which is established in resilience engineering, providing an empirical approach that aims to describe and analyse emerging fault in complex socio-technical systems [43,49].…”
Section: Risk Assessment In Complex Systemsmentioning
confidence: 99%