  Approach-level models were developed to accommodate the diversity of
approaches within the same intersection. A random effect term, which indicates
the intersection-specific effect, was incorporated into each crash type model
to deal with the spatial correlation between different approaches within the
same intersection. The model parameters were estimated under the Bayesian
framework. Results show that different crash types are correlated with
different groups of factors, and each factor shows diverse effects on different
crash types, which indicates the importance of crash type models. Besides, the
significance of random effect term confirms the existence of spatial
correlations among different approaches within the same intersection.
