Causal Factors in Elderly Pedestrian Traffic Injuries Based on Association Analysis
Source abstract
Abstract
In traffic accidents, elderly individuals face a significantly higher risk of mortality compared with other age groups. To investigate the factors contributing to elderly pedestrian accidents and their impact on injury severity, 1420 motor vehicle/elderly pedestrian collisions from the 2019–2023 Chinese Traffic Accident Deep Investigation Database were analyzed using the FP-growth algorithm. This analysis identified 5594 association rules across 28 types of variables within 4 categories of influencing factors. Logistic regression results indicate that pedestrian age, collision speed, time of occurrence, and accident location are significant factors affecting the mortality rate of elderly pedestrians in traffic accidents. Specifically, pedestrian age and collision speed significantly influence mortality rates. As collision speed increases, the mortality rate rises markedly. For elderly pedestrians aged 60 and above, the mortality rate increases by 3.7% with each additional year of age. Moreover, accidents occurring at night, in suburban areas, or in villages are associated with a higher mortality rate. This study offers scientific support for the formulation of safety measures aimed at improving the traffic safety of elderly pedestrians.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Traffic and Road Safety · Evaluation Methods in Various Fields · Traffic Prediction and Management Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hubei Key Laboratory of Advanced Technology of Automotive Components, Wuhan University of Technology, Wuhan 430070, China
Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China
Funding
National Natural Science Foundation of China · Fengxiang Xu
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