Multidimensional prediction of work traffic crashes among Spanish professional drivers in cargo and passenger transportation
The aim of this study was to examine the effect of different environmental, mechanical and individual factors associated with fatalities and serious injuries caused by work traffic accidents among cargo and passenger transport drivers (CPTD) in Spain. For this cross-sectional study, national data on work traffic accidents collected in Spain during the last 3 years were analyzed through a regression modeling approach, in order to predict the severity of traffic crashes involving CPTD. Using binary logistic regression analyses, it was found that the type of road and accident, the meteorological, light and vehicle conditions, individual characteristics and risky driving behaviors significantly predict the risk of fatal work traffic accidents and serious injuries. These findings highlight the importance of combining organizational efforts with national road safety policies in order to generate a traffic safety culture among CPTD.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10803548
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Supplemental Notes:
- © 2020 Central Institute for Labour Protection – National Research Institute (CIOP-PIB) 2020. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Useche, Sergio A
- Cendales, Boris
- Alonso, Francisco
- Montoro, Luis
- Publication Date: 2022
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 20-27
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Serial:
- International Journal of Occupational Safety and Ergonomics
- Volume: 28
- Issue Number: 1
- Publisher: Taylor & Francis
- ISSN: 1080-3548
- Serial URL: https://www.tandfonline.com/journals/tose20
Subject/Index Terms
- TRT Terms: Commercial drivers; Crash causes; Crash injuries; Fatalities; Mathematical prediction
- Geographic Terms: Spain
- Subject Areas: Freight Transportation; Passenger Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 01854230
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 10 2022 4:38PM