María Martínez Rojas, Antonio Trillo Cabello, María del Carmen Pardo Ferreira, Juan Carlos Rubio Romero
Construction worksites are characterized by their dynamic and complex nature, making that work safety awareness a major concern during the project life cycle. In this regard, the analysis of historical data might be useful to identify the most frequent relationship between the variables of accidents in order to help safety practitioners in the task of prioritizing preventive actions. In this work, we propose an approach that will allow to explore unknown relations, expressed as association rules, among diverse variables from a database of construction accidents’ data. These association rules may be useful for efficient safety prevention and control.
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