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Fort E, Gadegbeku B, Gat E, Pélissier C, Hours M, Charbotel B. Accid. Anal. Prev. 2019; 131: 254-267.


Univ Lyon, Université Claude Bernard Lyon1, Ifsttar, UMRESTTE, UMR T_9405, F- 69373, Lyon, France.


(Copyright © 2019, Elsevier Publishing)






INTRODUCTION: Several studies of the working conditions of drivers, and in particular on their pace of work, have enabled a better understanding of the risk factors for road accidents that occur during work. However, few studies are available on the risk exposure and working conditions of employees whose occupations involve driving. The purpose of this paper is to identify the different groups of employees occupationally exposed to road risk and to classify them according to working conditions.

METHODOLOGY: A Multiple Correspondence Analysis (MCA) was implemented on the 41,727 individuals from the SUMER 2010 survey (Medical Monitoring of Occupational Risk Exposure: SUrveillance Médicale des Expositions aux Risques professionnels) and for 45 variables about working conditions. The analysis used 5 categories of weekly driving exposure as a supplementary variable (variable which is not used to perform the MCA): Non-exposure; Exposed <2 h; Exposed 2-10 hours; Exposed 10-20 hours; and Exposed >20 h. The results of the MCA were used to construct an ascending hierarchical classification.

RESULTS: The first factorial axis differentiates between conventional and unconventional work schedules. Axis 2 differentiates modalities corresponding to the working hours of the most recent working week. The third axis chiefly contrasts persons who have rules to follow with those who have none. An ascending hierarchical classification distinguishes 10 clusters of individuals according to working conditions. Four clusters of employees were excessively exposed to occupational driving. Clusters also have distinct demographic, occupational and psychosocial characteristics.

CONCLUSION: Analysis of data from the SUMER survey confirms that employees exposed to road risk are particularly affected by atypical work time characteristics, but can be found in all activity sectors and in all types of job.

Copyright © 2019. Published by Elsevier Ltd.

Language: en


Ascending hierarchical classification; Driving exposure; Multiple correspondence analysis; Occupational road risk; Working conditions


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