A dynamic risk analysis model based on workplace ergonomics and demographic-cognitive characteristics of workers
dc.contributor.author | Taşdelen, Ahmet | |
dc.contributor.author | Özpınar, Alper M. | |
dc.date.accessioned | 2023-05-22T11:04:05Z | |
dc.date.available | 2023-05-22T11:04:05Z | |
dc.date.issued | 2023 | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü | en_US |
dc.description.abstract | Background: This study aimed to examine the effect of perception, attention, and sleep levels on the number of occupational accidents and near-misses in the mining and metal sectors. Methods: The data were collected from 53 employees in the mining (n = 30) and metal (n = 23) sectors in 2021 from a mining and metal company. The study collected the following data from the sample: demographic information forms, previous accident and previous near-miss histories, Pittsburgh Sleep Quality (PSQI) scale, pulse, sleep levels, and attention tests. Results: Having an education at primary school and below (B = 0.235; p < 0.05), and having an education at the high school level (B = 0.710; p < 0.01), being single (B = ?0.291; p < 0.01), time working in the department (B = 0.027; p < 0.05), time working in the company (B = ?0.034; p < 0.05), and the number of near-misses (B = 0.354; p < 0.01), had a significant impact on accidents. Having an education in primary school or below (B = ?1.532; p < 0.01), not having had an accident (B = ?3.654; p < 0.01), age (B = 0.074; p < 0.01), correct score (B = 0.014; p < 0.01), incorrect time (B = 0.228; p < 0.01) and unanswered score averages (B = ?0.029; p < 0.01) had a significant impact on near-misses. Conclusion: Education, the working year, and working time had significant effects on workplace accidents. | en_US |
dc.identifier.doi | 10.3390/su15054553 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.scopus | 2-s2.0-85149939068 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://hdl.handle.net/11467/6618 | |
dc.identifier.uri | https://doi.org/10.3390/su15054553 | |
dc.identifier.volume | 15 | en_US |
dc.identifier.wos | WOS:000946888300001 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.relation.ispartof | Sustainability (Switzerland) | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | cognitive; metal; mining; perception; preventative; risk analysis | en_US |
dc.title | A dynamic risk analysis model based on workplace ergonomics and demographic-cognitive characteristics of workers | en_US |
dc.type | Article | en_US |