Modeling crashes involving pedestrians and motorized traffic

Venkataraman N. Shankar, Gudmundur F. Ulfarsson, Ram Pendyala, MaryLou B. Nebergall

Research output: Contribution to journalArticle

82 Scopus citations


This paper presents an empirical inquiry into the predictive modeling of crashes involving pedestrians and motorized traffic on roadways. Empirical models based on the negative binomial distribution and mixing distributions, such as the zero-inflated Poisson distribution, are presented and discussed in terms of their applicability to pedestrian crash phenomena. Key modeling issues relating to the presence of excess zeros as well as unobserved heterogeneity in pedestrian crash distributions are addressed. The empirical results show that zero-inflated count distributions, such as the zero-inflated Poisson, are promising methodologies for providing explanatory insights into the causality behind pedestrian-traffic crashes.

Original languageEnglish (US)
Pages (from-to)627-640
Number of pages14
JournalSafety Science
Issue number7
StatePublished - Jul 2003
Externally publishedYes


ASJC Scopus subject areas

  • Chemical Health and Safety
  • Safety, Risk, Reliability and Quality
  • Public Health, Environmental and Occupational Health
  • Health Professions(all)
  • Human Factors and Ergonomics
  • Safety Research

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