Modeling railroad trespassing crash frequency using a mixed-effects negative binomial model

Y. Kang, A. Iranitalab, A. Khattak

Research output: Contribution to journalArticle

Abstract

A better understanding of rail trespass crashes is needed as more than 400 trespassing related fatalities occur along rail tracks each year in the United States (U.S.). The objective of this research was to investigate factors associated with the occurrence of rail trespass crashes. Yearly crash frequency for counties in the U.S. with train tracks was modeled using a Mixed-effects Negative Binomial Model based on 2012–2016 datasets from the Federal Railroad Administration, the U.S. Census Bureau and National Historical Geographic Information System. Results revealed that key factors affecting rail trespassing crashes include county population density, length of rail tracks in a county, median age and male proportion of the county population, and average train traffic within a county. The findings provided useful information on improving public safety along railroad tracks.

Original languageEnglish (US)
Pages (from-to)208-218
Number of pages11
JournalInternational Journal of Rail Transportation
Volume7
Issue number3
DOIs
StatePublished - Jul 3 2019

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Railroads
railroad
Rails
Railroad tracks
population density
information system
census
traffic
Geographic information systems
Statistical Models

Keywords

  • Rail safety
  • mixed-effects negative binomial
  • trespassing

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Mechanics of Materials

Cite this

Modeling railroad trespassing crash frequency using a mixed-effects negative binomial model. / Kang, Y.; Iranitalab, A.; Khattak, A.

In: International Journal of Rail Transportation, Vol. 7, No. 3, 03.07.2019, p. 208-218.

Research output: Contribution to journalArticle

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