Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/270
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dc.contributor.authorBilim, Niyazi-
dc.contributor.authorBilim, Atiye-
dc.date.accessioned2021-12-13T10:23:56Z-
dc.date.available2021-12-13T10:23:56Z-
dc.date.issued2022-
dc.identifier.issn1080-3548-
dc.identifier.issn2376-9130-
dc.identifier.urihttps://doi.org/10.1080/10803548.2021.1990571-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/270-
dc.description.abstractCoal mining has the most risk in all of the mining sectors. Hence, in this sector, most work accidents encountered are intensive. The demographic characteristics of workers affect the occurrence of occupational accidents. This study aims to develop an equation that predicts workday loss by analyzing the relationship between workers' demographic characteristics and having an accident with workday loss. In this study, work-related accidents between 2014 and 2019 in underground hard coal mines in Turkey were analyzed using logistic regression analysis. An equation is derived that estimates the workday loss with the characteristics of workers in hard coal mines. With the equation derived in this study, employers can determine the potential for work accidents according to the demographic characteristics of the workers and serious work accidents will be prevented. Therefore, proactive solutions can be produced by applying the methods used in this study to different industries.en_US
dc.language.isoenen_US
dc.publisherTAYLOR & FRANCIS LTDen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICSen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLogistic Regressionen_US
dc.subjectWork Safetyen_US
dc.subjectWork Accidenten_US
dc.subjectCoal Mine Accidenten_US
dc.subjectAccident Analysesen_US
dc.subjectOccupational-Health Hazardsen_US
dc.subjectStatistical-Analysisen_US
dc.subjectSafety Evaluationen_US
dc.subjectMining Safetyen_US
dc.subjectInjuriesen_US
dc.subjectChinaen_US
dc.subjectExplosionsen_US
dc.subjectManagementen_US
dc.subjectLosten_US
dc.subjectExperienceen_US
dc.titleEstimation of the risk of work-related accidents for underground hard coal mine workers by logistic regressionen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/10803548.2021.1990571-
dc.identifier.pmidPubMed: 34622745en_US
dc.identifier.scopus2-s2.0-85119359327en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Maden Mühendisliği Bölümüen_US
dc.authoridBilim, Niyazi/0000-0002-6711-0453-
dc.identifier.wosWOS:000718223400001en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid24167680000-
dc.authorscopusid57132984700-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextembargo_20300101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.12. Department of Mining Engineering-
crisitem.author.dept07. 20. Department of Property Protection and Security-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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