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• W4220852042 endingPage "3762" @default.
• W4220852042 startingPage "3762" @default.
• W4220852042 abstract "China has a large number of gas stations, with which thousands of workers are associated. There is abundant online literature documenting the various occupational health risks these workers face. However, this literature has many flaws to address, and it falls short of suggesting measures to manage these risks. This study strives to fill that gap, and aims to improve the occupational health of gas station workers through comprehensive risk management and performance analysis. To this end, a reasonable volume of reliable data, i.e., 208 completed questionnaires, were analyzed through current statistical routines, viz., fuzzy Analytical Hierarchy Process (AHP) and Importance Performance Analysis (IPA). These methods were employed to hierarchically organize the main factors and sub-factors of physical risk management, chemical risk management, biological risk management, physiological risk management and psychological risk management according to their appraised importance, and screen out the risk management stratagem for priority improvement. Research findings reveal that chemical risk and biological risk response schemes have the lowest performance, and need to be prioritized for improvement. Furthermore, this study argues that we can safeguard the occupational health of gas station workers through appropriate risk management strategies. It also elaborates on implications, limitations and future research directions." @default.
• W4220852042 created "2022-04-03" @default.
• W4220852042 creator A5028551455 @default.
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• W4220852042 creator A5080633583 @default.
• W4220852042 date "2022-03-22" @default.
• W4220852042 modified "2023-09-27" @default.
• W4220852042 title "Evaluation of Occupational Health Risk Management and Performance in China: A Case Study of Gas Station Workers" @default.
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• W4220852042 doi "https://doi.org/10.3390/ijerph19073762" @default.
• W4220852042 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35409446" @default.
• W4220852042 hasPublicationYear "2022" @default.
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