The involvement of more severe Highway-Railway Grade Crossing (HRGC) crashes between male and female drivers is controversial. The aim of this paper is to identify the differences in contributory factors to injury severity between male and female in these locations. The current research was implemented based on HRGC crash data in the United States from 2004 to 2013. Three separated prediction models were established through the Ordered Probit approach. Results showed that the driver gender considerably affected the injury severity of HRGC crashes; in particular, the female drivers had a higher probability of involving in a more severe crash than the male drivers. Besides the driver gender, it was determined that a number of causal factors such as train speed, vehicle speed and driver age could be influenced the crash severity. The presences of audio warning systems and crossbucks were contributed to the crash severity of the male and female drivers, respectively. Such results were an indication of the driver training and education improvement, so, the maintained safety performance at the HRGC.

Keywords: Gender, Highway-Railway Grade Crossing (HRGC), Crash severity, Ordered probit model, Sensitivity analysis

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