| This study focused on analyzing the effect of traffic factors and road characteristics on the number of traffic accidents and injury severities. The method used here is zero inflated models with predictor variables including road infrastructure such as lane width, number of through lanes, shoulder, median, segment length miles, presence of street parking and so on; and traffic factors such as average annual daily traffic per lane (aadtpln), and speed limit. The author explained the relationship between these predictor variables with yearly data of number of accidents and crash severity levels as dependent variables. The aim of this study is to determine which road characteristics and traffic factors are more likely to influence the frequency of traffic accidents and injury severities. Such finding could be useful to policy-makers in the implementation of road safety strategies for the case study. |
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