Control measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station

MakaleAçık ErişimScopus SJRQ1

Özet

The Fine − Kinney is a risk assessment method widely used in many industries due to its ease of use and quantitative risk evaluation. As in other methods, it is a method that recommends taking a series of control measures for operational safety. However, it is not always possible to implement control measures based on the determined priorities of the risks. It is considered that determining the priorities of these measures depends on many criteria such as applicability, functionality, performance, and integrity. Therefore, this study has studied the prioritization of control measures in Fine − Kinney-based risk assessment. The criteria affecting the prioritization of control measures are hierarchically structured, and the importance weights of the criteria are determined by the Bayesian Best–Worst Method (BBWM). The priorities of control measures were determined with the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) method. The proposed model has been applied to the risk assessment process in a petrol station’s liquid fuel tank area. According to the results obtained with BBWM, the most important criterion affecting the prioritization of control measures is the applicability criterion. It has an importance weight of about 42%. It is followed by performance with 31%, functionality with 18%, and integrity with 10%, respectively. FVIKOR results show that the “Periodic control of the ventilation device” measure is the top priority for Fine − Kinney risk assessment. “The absence of any ducts or sewer pits that may cause gas accumulation in the tank area and near the dispenser; Yellow line marking of entry and exit and vehicle roads; Placing of speed limit warning signs” has been determined as a secondary priority. On conclusion, this proposed model is expected to bring a new perspective to the work of occupational health and safety analysts, since the priority suggested by Fine − Kinney risk analysis methods is not always in the same order as the one in the stage of taking action, and the source, budget, and cost/benefit ratio of the measure affect this situation in practice.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/2594Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/s11356-022-19454-xYayıncı resmi DOI adresi
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51
WoS
42
OpenAlex
54
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorGul, Muhammet
dc.contributor.authorYucesan, Melih
dc.contributor.authorAk, Muhammet Fatih
dc.date.accessioned2026-10-28T14:55:35.046953676Z
dc.date.available2026-10-28T14:55:35.046953676Z
dc.date.issued2022
dc.description.abstractThe Fine − Kinney is a risk assessment method widely used in many industries due to its ease of use and quantitative risk evaluation. As in other methods, it is a method that recommends taking a series of control measures for operational safety. However, it is not always possible to implement control measures based on the determined priorities of the risks. It is considered that determining the priorities of these measures depends on many criteria such as applicability, functionality, performance, and integrity. Therefore, this study has studied the prioritization of control measures in Fine − Kinney-based risk assessment. The criteria affecting the prioritization of control measures are hierarchically structured, and the importance weights of the criteria are determined by the Bayesian Best–Worst Method (BBWM). The priorities of control measures were determined with the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) method. The proposed model has been applied to the risk assessment process in a petrol station’s liquid fuel tank area. According to the results obtained with BBWM, the most important criterion affecting the prioritization of control measures is the applicability criterion. It has an importance weight of about 42%. It is followed by performance with 31%, functionality with 18%, and integrity with 10%, respectively. FVIKOR results show that the “Periodic control of the ventilation device” measure is the top priority for Fine − Kinney risk assessment. “The absence of any ducts or sewer pits that may cause gas accumulation in the tank area and near the dispenser; Yellow line marking of entry and exit and vehicle roads; Placing of speed limit warning signs” has been determined as a secondary priority. On conclusion, this proposed model is expected to bring a new perspective to the work of occupational health and safety analysts, since the priority suggested by Fine − Kinney risk analysis methods is not always in the same order as the one in the stage of taking action, and the source, budget, and cost/benefit ratio of the measure affect this situation in practice.
dc.identifier.doi10.1007/s11356-022-19454-x
dc.identifier.eissn1614-7499
dc.identifier.endpage59402
dc.identifier.issn0944-1344
dc.identifier.issue39
dc.identifier.pmcidPMC8984078
dc.identifier.pmid35384537
dc.identifier.scopus2-s2.0-85127728322
dc.identifier.startpage59385
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/2594
dc.identifier.volume29
dc.identifier.wosWOS:000778926500008
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBayesian Best–Worst Method
dc.subjectControl measure prioritization
dc.subjectFine − Kinney
dc.subjectFuzzy set theory
dc.subjectLiquid fuel tank
dc.subjectVIKOR
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otherBayes Theorem
dc.subject.otherOccupational Health
dc.subject.otherRisk Assessment
dc.subject.otherhealth and safety
dc.subject.otherprocedures
dc.titleControl measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station
dc.typeArticle
rdl.citation.openalex54
rdl.citation.scopus51
rdl.citation.wos42
rdl.departmentDepartment of Emergency Aid and Disaster Management, Munzur University, 62000, Tunceli, Turkey
rdl.departmentDepartment of Industrial Engineering, Antalya Bilim University, 07190, Antalya, Turkey
rdl.oa.statusbronze
rdl.oa.statusgreen
rdl.oa.urlhttps://link.springer.com/content/pdf/10.1007/s11356-022-19454-x.pdf
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)