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Abstract
Human errors are one of the main causes of accidents in the construction industry. Controlling all persons involved in a project with respect to safety issues are time-consuming and costly. It is clear that in each working group there is a person who affects others because of his experience, knowledge and etc. Therefore, improving the safety of an effective person's behaviour can lead to the safety of other people's behaviours. This study presents a new framework to detect effective persons by using social network analysis. To do this, firstly the most frequent accidents are identified and next, for each accident according to their activities and working groups the most influential person is identified. Finally, the influential level of each person in different accidents is combined with a new decision-making method to find the most influential person. The proposed framework was implemented in one of the construction projects in Iran.
Authors’ contributions
HA carried out the scientific design and proposed the idea of research, participated in analysing the findings and drafted the paper. AE collected the data and participated for analysing the findings. All authors read and approved the final manuscript.
Availability of data and materials
The authors do not wish to share their data. All the necessary data have been mentioned in the paper.
For additional data request, please contact corresponding author via email.
Compliance with ethical standards
Research involved human participants and the authors declare the informed consent by all participants.
Disclosure statement
The authors declare that they have no competing interests.