Lero research finds drivers of electric vehicles more likely to be at fault in road traffic accidents
Drivers of electric vehicles are more likely to be involved in at-fault road traffic accidents than drivers of petrol and diesel cars, according to a study by researchers at Lero and University of Limerick.
In a paper to be published in November in the journal Accident Analysis & Prevention, the researchers analysed insurance claims and data from onboard sensors and revealed a number of key findings:
- Electric and hybrid drivers exhibited different behaviours than drivers of traditional vehicles
- Electric vehicles recorded more at-fault claims than traditional vehicles
- Electric vehicles were 6.7% more expensive to repair than traditional vehicles
Lero researcher and co-director of the Centre of Emerging Risk Studies the Kemmy Business School, Dr Barry Sheehan, said: “Our research finds that despite their lower average mileage than internal combustion engines, lower road exposure for EV drivers does not reduce their risk of experiencing an at-fault insurance claim. When analysing at-fault claims, we find a 4% increase in crashes from EVs and a 6% increase for hybrids (HYBs) compared to internal combustion engines.
“However, when tested with statistical models, hybrids do not display any further concerns of increased at-fault claim risk. These results indicate that EVs have a higher risk profile than traditional internal combustion engine vehicles.
“Our research shows drivers’ driving behaviour changes significantly when switching to hybrids or EVs. These results mean EVs are more likely to experience an at-fault claim than internal combustion engines.”
Lero researcher and lead author Kevin McDonnell said their analysis of each fuel type shows that EVs and hybrids have lower average mileages than internal combustion engines.
“This suggests that internal combustion engines should have a higher probability of incurring an at-fault claim than alternate energy fuel-type vehicles. However, the claims data contradicts this assumption by providing evidence of increased at-fault claim occurrences in EVs through predictive modelling and risk analysis.”
The study used telematic data from 125 million commercial fleet vehicle trips involving 14,642 vehicles recorded from January 2022 to October 2022 in the Netherlands. It also used an insurance claims dataset during the same period.
The paper is co-authored by Lero and UL’s Kevin McDonnell, Dr Barry Sheehan and Prof Finbarr Murphy as well as Professor Montserrat Guillen of Universitat de Barcelona.
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