Abstract

Researchers in developing countries are often faced with the issue of small sample sizes of crash data for the crash frequency analysis, due to the incomplete crash and information recording and reporting systems. In this study, the authors evaluated the application of the generalized estimating equation (GEE) procedure to deal with the temporal issue faced by researchers in developing countries. Using four-year crash data at exit ramps on a freeway in China, a GEE model was estimated. The results showed that the GEE procedure, with an exchangeable correlation structure, successively captured the temporal correlation in the longitudinal data of this study and was considered to outperform the traditional models in estimating the impacts of variables on crash counts.

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