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Exploring the factors affecting motorway accident severity in England using the generalised ordered logistic
Paraskevi Michalaki1, Mohammed A Quddus1, David Pitfield1
1School of Civil and Building Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, United Kingdom.
Journal of Safety Research
|December 20, 2015
Summary
Motorway accidents on the hard shoulder (HS) are more severe than on the main carriageway (MC). Driver fatigue and heavy goods vehicle (HGV) involvement significantly increase HS accident severity.
Area of Science:
- Road safety research
- Traffic accident analysis
- Transportation engineering
Background:
- Motorway accidents on the hard shoulder (HS) exhibit higher severity compared to those on the main carriageway (MC).
- Understanding the distinct factors influencing HS and MC accident severity is crucial for targeted safety interventions.
Purpose of the Study:
- To compare and contrast the key factors contributing to the severity of hard shoulder (HS) versus main carriageway (MC) accidents on English motorways.
- To identify specific risk factors that disproportionately affect accident severity in HS environments.
Main Methods:
- Utilized police-reported accident data for English motorways.
- Categorized accidents into hard shoulder (HS) and main carriageway (MC) groups.
- Applied a generalized ordered logistic regression model to analyze influencing factors.
Main Results:
- Factors increasing accident severity include the number of vehicles involved, peak-hour traffic, and low visibility.
- Accident severity on the hard shoulder (HS) is significantly influenced by the involvement of heavy goods vehicles (HGVs) and driver fatigue.
- Driver fatigue and HGV involvement were identified as more critical factors for HS accident severity compared to MC accidents.
Conclusions:
- Stakeholders should implement measures to enhance awareness among heavy goods vehicle (HGV) drivers regarding fatigue risks on motorways, particularly in the nearside lane.
- Targeted interventions focusing on HGV driver fatigue are essential for reducing the severity of hard shoulder (HS) accidents.
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