title: Investigating risk factors of traffic casualties at private highway-railroad grade crossings in the United States.
abstract: Private highway-railroad grade crossings (HRGCs) are intersections of highways and railroads on roadways that are not maintained by a public authority. Since no public authority maintains private HRGCs, fatal and injury crashes at these locations are of concern. However, no study has been conducted at private HRGCs to identify the safety issues that might exist and how to alleviate them. This study identifies the significant predictors of traffic casualties (including both injuries and fatalities) at private HRGCs in the U.S. using six years of nationwide crashes from 2009 to 2014. Two levels of injury severity were considered, injury (including fatalities and injuries) and no injury. The study investigates multiple predictors, e.g., temporal crash characteristics, geometry, railroad, traffic, vehicle, and environment. The study applies both the mixed logit and binary logit models. The mixed logit model was found to outperform the binary logit model. The mixed logit model revealed that drivers who did not stop, railroad equipment that struck highway users, higher train speeds, non-presence of advance warning signs, concrete road surface type, and cloudy weather were associated with an increase in injuries and fatalities. For example, a one-mile-per-hour higher train speed increases the probability of fatality by 22%. On the contrary, male drivers, PM peak periods, and presence of warning devices at both approaches were associated with a fatality reduction. Potential strategies are recommended to alleviate injuries and fatalities at private HRGCs.
authors.affiliation: Department of Civil and Environmental Engineering, University of Alabama in Huntsville, 301 Sparkman Drive, OKT S201, Huntsville, AL 35899, United States. Electronic address: kirolos60@hotmail.com.
authors.forename: Kirolos
authors.initials: K
authors.lastname: Haleem
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000706:statistics & numerical data*; D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011336:Probability; D011890:Railroads / Q000706:statistics & numerical data*; D012307:Risk Factors; D012737:Sex Factors; D015599:Trauma Severity Indices; D014481:United States; D055815:Young Adult
keywords: Casualty; Crashes; Fatality; Injury; Mixed logit; Private highway-Railroad grade crossing; Risk factors