Shoufang Dong, Tingting Zhang, Haiyan Zhu, Kaixin Li, Aili Wang
{"title":"Research on the Effect of Shift Work System on Rail Transit Drivers’ Sleep and Fatigue","authors":"Shoufang Dong, Tingting Zhang, Haiyan Zhu, Kaixin Li, Aili Wang","doi":"10.1109/ISCID51228.2020.00066","DOIUrl":null,"url":null,"abstract":"The shift work system has a certain interference effect on the physiology and psychological state of rail transit drivers. Existing studies have constructed fatigue analysis methods and indicators, but have not analyzed the causes of driver fatigue from the perspective of human factors engineering. This study sorted out the content of drivers' shift work system, and used t-test, one-way ANOVA, Pearson correlation analysis and other statistical analysis methods to analyze the correlation between drivers' sleep and fatigue according to their age, working section, technical level and lifestyle type. The results show that the sleep quality of rail transit drivers is significantly worse than that of average adults, and the degree of fatigue is higher, which is mainly reflected in mental fatigue and motivation weakening, and sleep quality has a direct effect on fatigue. Finally, according to the research results, the paper puts forward suggestions for improving the shift work system, which can provide reference for improving the safety level of rail transit operation and optimizing the personnel management strategy.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID51228.2020.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The shift work system has a certain interference effect on the physiology and psychological state of rail transit drivers. Existing studies have constructed fatigue analysis methods and indicators, but have not analyzed the causes of driver fatigue from the perspective of human factors engineering. This study sorted out the content of drivers' shift work system, and used t-test, one-way ANOVA, Pearson correlation analysis and other statistical analysis methods to analyze the correlation between drivers' sleep and fatigue according to their age, working section, technical level and lifestyle type. The results show that the sleep quality of rail transit drivers is significantly worse than that of average adults, and the degree of fatigue is higher, which is mainly reflected in mental fatigue and motivation weakening, and sleep quality has a direct effect on fatigue. Finally, according to the research results, the paper puts forward suggestions for improving the shift work system, which can provide reference for improving the safety level of rail transit operation and optimizing the personnel management strategy.