Modeling crashes involving pedestrians and motorized traffic

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

Research output: Contribution to journalArticle

73 Citations (Scopus)

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

Fingerprint

Poisson distribution
pedestrian
traffic
Binomial Distribution
Poisson Distribution
Causality
causality
Pedestrians
methodology

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

Cite this

Modeling crashes involving pedestrians and motorized traffic. / Shankar, Venkataraman N.; Ulfarsson, Gudmundur F.; Pendyala, Ram; Nebergall, MaryLou B.

In: Safety Science, Vol. 41, No. 7, 07.2003, p. 627-640.

Research output: Contribution to journalArticle

Shankar, Venkataraman N. ; Ulfarsson, Gudmundur F. ; Pendyala, Ram ; Nebergall, MaryLou B. / Modeling crashes involving pedestrians and motorized traffic. In: Safety Science. 2003 ; Vol. 41, No. 7. pp. 627-640.
@article{f26cf05040854d548f5e23ba3542e5ce,
title = "Modeling crashes involving pedestrians and motorized traffic",
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.",
author = "Shankar, {Venkataraman N.} and Ulfarsson, {Gudmundur F.} and Ram Pendyala and Nebergall, {MaryLou B.}",
year = "2003",
month = "7",
doi = "10.1016/S0925-7535(02)00017-6",
language = "English (US)",
volume = "41",
pages = "627--640",
journal = "Safety Science",
issn = "0925-7535",
publisher = "Elsevier",
number = "7",

}

TY - JOUR

T1 - Modeling crashes involving pedestrians and motorized traffic

AU - Shankar, Venkataraman N.

AU - Ulfarsson, Gudmundur F.

AU - Pendyala, Ram

AU - Nebergall, MaryLou B.

PY - 2003/7

Y1 - 2003/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0037904412&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037904412&partnerID=8YFLogxK

U2 - 10.1016/S0925-7535(02)00017-6

DO - 10.1016/S0925-7535(02)00017-6

M3 - Article

VL - 41

SP - 627

EP - 640

JO - Safety Science

JF - Safety Science

SN - 0925-7535

IS - 7

ER -