Extracting recurrent scenarios from narrative texts using a Bayesian network: Application to serious occupational accidents with movement disturbance
Fazia Abdat,
Sylvie Leclercq (),
Xavier Cuny and
Claire Tissot
Additional contact information
Fazia Abdat: HT - Département Homme au Travail - INRS ( Vandoeuvre lès Nancy) - Institut national de recherche et de sécurité (Vandoeuvre lès Nancy)
Sylvie Leclercq: HT - Département Homme au Travail - INRS ( Vandoeuvre lès Nancy) - Institut national de recherche et de sécurité (Vandoeuvre lès Nancy)
Xavier Cuny: CNAM - Conservatoire National des Arts et Métiers [CNAM]
Claire Tissot: INRS (Paris) - Institut national de recherche et de sécurité (Paris)
Post-Print from HAL
Abstract:
A probabilistic approach has been developed to extract recurrent serious Occupational Accident with Movement Disturbance (OAMD) scenarios from narrative texts within a prevention framework. Relevant data extracted from 143 accounts was initially coded as logical combinations of generic accident factors. A Bayesian Network (BN)-based model was then built for OAMDs using these data and expert knowledge. A data clustering process was subsequently performed to group the OAMDs into similar classes from generic factor occurrence and pattern standpoints. Finally, the Most Probable Explanation (MPE) was evaluated and identified as the associated recurrent scenario for each class. Using this approach, 8 scenarios were extracted to describe 143 OAMDs in the construction and metallurgy sectors. Their recurrent nature is discussed. Probable generic factor combinations provide a fair representation of particularly serious OAMDs, as described in narrative texts. This work represents a real contribution to raising company awareness of the variety of circumstances, in which these accidents occur, to progressing in the prevention of such accidents and to developing an analysis framework dedicated to this kind of accident.
Keywords: Bayesian network; Recurrent scenarios; Narrative text; Occupational accident with movement disturbance; ANALYSE DES ACCIDENTS; BTP; CHUTE DE PLAIN-PIED; METALLURGIE; RECIT ACCIDENT; ACCIDENT DU TRAVAIL; CAUSE ACCIDENT; CHUTE; FACTEUR DE RISQUE; GLISSADE; TREBUCHEMENT (search for similar items in EconPapers)
Date: 2014-09
Note: View the original document on HAL open archive server: https://hal.science/hal-01578382
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Accident Analysis & Prevention, 2014, 70, pp.155-166. ⟨10.1016/j.aap.2014.04.004⟩
Downloads: (external link)
https://hal.science/hal-01578382/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01578382
DOI: 10.1016/j.aap.2014.04.004
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().