2024 Volume 15 Pages 2994-3009
Category-wise distribution of accidents in India reveals that more than 31% of accidents and more than 36% of fatalities took place on National Highways (NHs), which is about 2% of total roads. This is a major concern for road safety on NHs and needs to be explored for improvement. The present study looks to develop a macroscopic crash frequency model for NHs in India. Towards this, state-wise crash frequency data are utilized for three years. It is likely to have a high probability of unobserved heterogeneity in modeling crash frequency utilizing macro-level variables – the study proposes to use the Random Parameter Negative Binomial model instead of a fixed-effect model. The study also identifies that the share of female driving license holders plays a key role in the variability of crash frequency. Additionally, a lower elasticity is observed for the proportion of four-lane (and above) roads compared to other categories.
