Razvoj baze podataka za upravljanje rizicima na radu vatrogasno-spasilačkih jedinica u uslovima multirizika
Doktorand
Božović, MarijolaMentor
Mihajlović, EminaČlanovi komisije
Živković, NenadMilošević, Lidija
Ilić-Krstić, Ivana
Rančić, Dejan
Metapodaci
Prikaz svih podataka o disertacijiSažetak
Considering the relatively small body of research into the relationship
between occupational multi-risk and risk associated with the operations
of fire and rescue units, the aim of this doctoral dissertation is to
determine the dependence of occupational risk to fire and rescue unit
members on the extent of multi-risk in risk events and to determine to
what extent the outcome of risk events (injury/avoided injury)
influences the modelling of occupational risk assessment for fire and
rescue units.
The presented research was conducted in three fire and rescue units in
northern Kosovo and Metohija from 2014 to 2018 and it included
occupational injury analyses, as well as risk events that were never
officially recorded and in which injuries to fire and rescue unit members
were avoided. The first step was to determine which factors influence
the outcome of fire and rescue interventions, after which the
contributory factors were included in the creation of predictive models
us...ing logistic regression. Discriminant analysis was used to determine a
set of variables that differentiates the most between two defined case
categories; the determined predictors were then used to obtain the
discriminant function. Logistic regression analysis and the creation of a
model for injury risk assessment were the final step in the analysis. Two
predictive models were created (one predicting only interventions
resulting in injuries and the other predicting interventions both with
injuries and with nearly-avoided injuries) and the differences between
the models were identified. The analysis determined which factors
contribute to injuries or to situations in which injuries are highly likely,
and it also showed the importance of performing risk assessments not
only based on situations resulting in injuries but also based on situations
in which injuries were likely to happen but did not. The obtained model
can be used to calculate the risk and probability of injury for every
specific situation.
The results obtained in this research can be used to identify the key
factors influencing the operational safety of fire and rescue unit
members and they can also enable a more precise identification of risk
events, more reliable risk assessment, improved understanding of
‘accident mechanisms’, as well as the creation of a more comprehensive
database for efficient occupational risk management of fire and rescue
unit members.
The scientific contribution of the research presented in this doctoral
dissertation is represented by the methodological approach to the
prevention and reduction of occupational risk associated with fire and
rescue unit operations for the purpose of increasing the level of
firefighters’ safety during interventions in multi-risk conditions.