What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model Article

Lalika, Luciano, Kitali, Angela E, Haule, Henrick J et al. (2022). What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model . JOURNAL OF SAFETY RESEARCH, 80 281-292. 10.1016/j.jsr.2021.12.011

cited authors

  • Lalika, Luciano; Kitali, Angela E; Haule, Henrick J; Kidando, Emmanuel; Sando, Thobias; Alluri, Priyanka

sustainable development goals

publication date

  • February 1, 2022

published in

keywords

  • AGE
  • Bayesian Logistic Regression
  • Bayesian Network
  • CHOICE
  • Crash severity
  • Engineering
  • Ergonomics
  • Life Sciences & Biomedicine
  • Older pedestrians
  • PREDICTION
  • PROPORTIONAL ODDS MODEL
  • Pedestrian-vehicle crashes
  • Public, Environmental & Occupational Health
  • Science & Technology
  • Social Sciences
  • Social Sciences - Other Topics
  • Social Sciences, Interdisciplinary
  • Technology
  • Transportation
  • VEHICLE CRASHES

Digital Object Identifier (DOI)

publisher

  • PERGAMON-ELSEVIER SCIENCE LTD

start page

  • 281

end page

  • 292

volume

  • 80