Modeling crashes involving pedestrians and motorized traffic

Venkataraman N. Shankar, Gudmundur F. Ulfarsson, Ram M. Pendyala, Mary Lou B. Nebergall

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

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
Volume41
Issue number7
DOIs
StatePublished - Jul 2003
Externally publishedYes

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health

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