Análisis bayesiano de factores de riesgo de accidente en trabajos de movimientos de tierras

J. F. García; J. E. Martín; S. Gerassis; A. Saavedra; J. Taboada García

doi:10.3989/ic.15.154

Authors

J. F. García CIPP Internacional, S. L. https://orcid.org/0000-0002-6033-055X
J. E. Martín Departamento de Ingeniería de los Recursos Naturales y Medio Ambiente, Universidad de Vigo https://orcid.org/0000-0003-0157-2644
S. Gerassis Departamento de Ingeniería de los Recursos Naturales y Medio Ambiente, Universidad de Vigo https://orcid.org/0000-0002-9249-6407
A. Saavedra Departamento de Estadística e Investigación Operativa, Universidad de Vigo https://orcid.org/0000-0002-4845-2271
J. Taboada García PhD student, Department of Natural Resources and Environmental Engineering, Universidad de Vigo https://orcid.org/0000-0002-0298-8871

DOI:

https://doi.org/10.3989/ic.15.154

Keywords:

civil works, earthmoving, safety management, risk assessment, Bayesian networks, data mining

Abstract

This paper analyses the characteristics of earthmoving operations involving a workplace accident. Bayesian networks were used to identify the factors that best predicted potential risk situations. Inference studies were then conducted to analyse the interplay between different risk factors. We demonstrate the potential of Bayesian networks to describe workplace contexts and predict risk situations from a safety and production planning perspective.

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