Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object

Underground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysi...

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Autores: Sanmiquel Pera, Lluís|||0000-0001-5612-4713, Rossell Garriga, Josep Maria|||0000-0002-5631-5357, Bascompta Massanes, Marc|||0000-0003-1519-6133, Vintró Sánchez, Carla|||0000-0003-4189-1500, Yousefian, Mohammad|||0000-0002-5164-459X
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/400952
Acceso en línea:https://hdl.handle.net/2117/400952
https://dx.doi.org/10.1016/j.heliyon.2024.e24716
Access Level:acceso abierto
Palabra clave:Mine accidents
Data-mining
Mine drift
Type of accident (TA)
Underground mining
Weka
Mines -- Accidents
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines
Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial
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spelling Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving objectSanmiquel Pera, Lluís|||0000-0001-5612-4713Rossell Garriga, Josep Maria|||0000-0002-5631-5357Bascompta Massanes, Marc|||0000-0003-1519-6133Vintró Sánchez, Carla|||0000-0003-4189-1500Yousefian, Mohammad|||0000-0002-5164-459XMine accidentsData-miningMine driftType of accident (TA)Underground miningWekaMines -- AccidentsÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de minesÀrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrialUnderground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysis of this type of accident, divided into 3 subgroups to better understand the behavioural patterns. Data mining techniques were applied using the Apriori algorithm to extract as much information as possible about the genesis of these accidents. Similarly, each subset of accidents was processed in two different ways to improve the data analysis, depending on the causal variables used in each case, so that a study of six different scenarios was carried out. The five best association rules or behaviour patterns for each of the six scenarios are shown as a function of their frequency for each rule with 1–4 causal variables.Peer ReviewedObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement Econòmic::8.8 - Protegir els drets laborals i promoure un entorn de treball segur i protegit per a totes les persones treballa­dores, incloses les migrants, en particular les dones migrants i les persones amb ocupacions precàriesElsevier Ltd20242024-01-3020242024-02-05journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/400952https://dx.doi.org/10.1016/j.heliyon.2024.e24716reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4009522026-05-27T15:37:01Z
dc.title.none.fl_str_mv Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
title Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
spellingShingle Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
Sanmiquel Pera, Lluís|||0000-0001-5612-4713
Mine accidents
Data-mining
Mine drift
Type of accident (TA)
Underground mining
Weka
Mines -- Accidents
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines
Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial
title_short Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
title_full Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
title_fullStr Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
title_full_unstemmed Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
title_sort Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
dc.creator.none.fl_str_mv Sanmiquel Pera, Lluís|||0000-0001-5612-4713
Rossell Garriga, Josep Maria|||0000-0002-5631-5357
Bascompta Massanes, Marc|||0000-0003-1519-6133
Vintró Sánchez, Carla|||0000-0003-4189-1500
Yousefian, Mohammad|||0000-0002-5164-459X
author Sanmiquel Pera, Lluís|||0000-0001-5612-4713
author_facet Sanmiquel Pera, Lluís|||0000-0001-5612-4713
Rossell Garriga, Josep Maria|||0000-0002-5631-5357
Bascompta Massanes, Marc|||0000-0003-1519-6133
Vintró Sánchez, Carla|||0000-0003-4189-1500
Yousefian, Mohammad|||0000-0002-5164-459X
author_role author
author2 Rossell Garriga, Josep Maria|||0000-0002-5631-5357
Bascompta Massanes, Marc|||0000-0003-1519-6133
Vintró Sánchez, Carla|||0000-0003-4189-1500
Yousefian, Mohammad|||0000-0002-5164-459X
author2_role author
author
author
author
dc.subject.none.fl_str_mv Mine accidents
Data-mining
Mine drift
Type of accident (TA)
Underground mining
Weka
Mines -- Accidents
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines
Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial
topic Mine accidents
Data-mining
Mine drift
Type of accident (TA)
Underground mining
Weka
Mines -- Accidents
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines
Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial
description Underground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysis of this type of accident, divided into 3 subgroups to better understand the behavioural patterns. Data mining techniques were applied using the Apriori algorithm to extract as much information as possible about the genesis of these accidents. Similarly, each subset of accidents was processed in two different ways to improve the data analysis, depending on the causal variables used in each case, so that a study of six different scenarios was carried out. The five best association rules or behaviour patterns for each of the six scenarios are shown as a function of their frequency for each rule with 1–4 causal variables.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-30
2024
2024-02-05
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/400952
https://dx.doi.org/10.1016/j.heliyon.2024.e24716
url https://hdl.handle.net/2117/400952
https://dx.doi.org/10.1016/j.heliyon.2024.e24716
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Ltd
publisher.none.fl_str_mv Elsevier Ltd
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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