2016
DOI: 10.1007/978-3-319-41929-9_47
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A Method to Calculate the Accident Probabilities in Construction Industry Using a Poisson Distribution Model

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Cited by 4 publications
(3 citation statements)
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“…Accident probabilities were calculated using the Poisson distribution model by taking into account accident rates and exposure values [37]. In the construction industry, where accidents are recorded according to a non-specific standard, it is very difficult to represent the probability of accidents within a known distribution model, but thanks to this approach, it was possible to provide an objective method to obtain accident probabilities using the Poisson distribution.…”
Section: Figure 1 Graphical Representation Of the Methodologymentioning
confidence: 99%
“…Accident probabilities were calculated using the Poisson distribution model by taking into account accident rates and exposure values [37]. In the construction industry, where accidents are recorded according to a non-specific standard, it is very difficult to represent the probability of accidents within a known distribution model, but thanks to this approach, it was possible to provide an objective method to obtain accident probabilities using the Poisson distribution.…”
Section: Figure 1 Graphical Representation Of the Methodologymentioning
confidence: 99%
“…This method is concerned with giving indicators for the number of accidents that happened during the implementation period of the project, usually, the contractors are responsible for giving a report described all the accidents with the workers (Bilir and Gurcanli, 2016).…”
Section: Accident Ratementioning
confidence: 99%
“…Moreover, the quality of the information extracted from accidents reports is also based on the ability of the analysts in using them [34], and more research needs to be carried out to deal with this potential bias [35,36]. Some methods for accidents classification and analysis do not rely on the same taxonomy of contributing factors, allowing the analysts a certain degree of freedom that reduces the reliability of the results [37].…”
Section: Introductionmentioning
confidence: 99%