Abstract
AbstractWith the rapid growth of the electric bicycles ownership in P.R.C, while facilitating people's traveling, illegal behaviors of electric bicycles has become common. The frequent occurrence of traffic accidents has attracted widespread attention from all sectors of the society. In order to improve the level of electric bicycle traffic safety, based on the 10-year traffic accident data of electric bicycles in a southern city in China, the electric bicycle traffic accident characteristics was analyzed, through data screening and standardizing, on the characteristics of cyclists, temporal and spatial characteristics, accident types and causes, etc. On this basis, 16 influencing factors such as time, location, illegal behavior, accident form, and cause of accident identification of electric bicycle traffic accidents were used to construct multinomial logit model for accidents without casualties, accidents with injuries, and accidents with fatalities; and the correlation analysis of the main influencing factors was carried out for these three types of accident information of electric bicycles. Following that, electric bicycle traffic accidents shall be prevented and reduced by strengthening targeted prevention and control measures.KeywordsElectric bicycleAccident characteristicsMultinomial logit modelInfluencing factorsCorrelation analysis
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