@article{Fan:241825,
      recid = {241825},
      author = {Fan, Wei and Kane, Martin R. and Haile, Elias},
      title = {Analyzing Severity of Vehicle Crashes at Highway-Rail  Grade Crossings: Multinomial Logit Modeling},
      journal = {Journal of the Transportation Research Forum},
      address = {2015},
      number = {1424-2016-118071},
      year = {2015},
      abstract = {The purpose of this paper is to develop a nominal response  multinomial logit model (MNLM)
to identify factors that are  important in making an injury severity difference and to  explore the
impact of such explanatory variables on three  different severity levels of vehicle-related crashes  at
highway-rail grade crossings (HRGCs) in the United  States. Vehicle-rail and pedestrian-rail crash
data on  USDOT highway-rail crossing inventory and public crossing  sites from 2005 to 2012 are
used in this study. A  multinomial logit model is developed using SAS PROC  LOGISTICS procedure
and marginal effects are also  calculated. The MNLM results indicate that when rail  equipment
with high speed struck a vehicle, the chance of a  fatality resulting increased. The study also reveals
that  vehicle pick-up trucks, concrete, and rubber surfaces were  more likely to be involved in more
severe crashes. On the  other hand, truck-trailer vehicles in snow and foggy  weather conditions,
development area types (residential,  commercial, industrial, and institutional), and higher  daily
traffic volumes were more likely to be involved in  less severe crashes. Educating and equipping
drivers with  good driving habits and short-term law enforcement actions,  can potentially minimize
the chance of severe vehicle  crashes at HRGCs.},
      url = {http://ageconsearch.umn.edu/record/241825},
      doi = {https://doi.org/10.22004/ag.econ.241825},
}