Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia

•Key factors influencing tram-involved crash frequency was identified.•A random effects negative binomial model was adopted.•Major crash contributing factors were tram stop spacing and tram service frequency.•Other factors were tram route section length and general traffic volume.•The results showed...

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