Study on characteristics and influencing factors of accident liability parties in scenarios where elderly persons are not at fault
When compared to targeting those responsible for accidents,studying and taking measures specifically for those not at fault can result in relatively smaller improvements in safety,even after implementing such measures.This is because these measures typically do not address the direct causes of accidents,reflecting the marginal effect.Given this context,this paper utilizes traffic accident data from a domestic autonomous region between 2017 and 2020 and employs association rule algorithms to explore factors such as the personal attributes of elderly individuals not at fault in accidents,characteristics of perpetrators,and road conditions.The aim is to identify common characteristics among accidents involving the elderly who are not at fault and to recognize which measures aimed at improving traffic safety can not only directly reduce the accident rate among those responsible but also significantly and positively impact the traffic safety of the elderly.This positive spillover effect on elderly traffic safety effectively safeguards their well-being.The results indicate that:Elderly individuals are more susceptible to being hit by motor vehicles and suffering varying degrees of injury when walking on ordinary urban roads with inadequate traffic control facilities;Elderly people may also suffer varying degrees of harm in collisions between vehicles on open roads without traffic control facilities.Measures such as widening roads,improving traffic control facilities,enhancing road visibility,and conducting educational campaigns on civilized driving for drivers all demonstrate significant positive spillover effects on the traffic safety of the elderly.This study provides valuable insights for analyzing,managing,and addressing the characteristics of traffic accidents involving the elderly.
Association rulestraffic safetyelderlyspillover effect
NETL
NSTL
万方数据
