Incorporating behavioral variables into crash count prediction by severity: A multivariate multiple risk source approach-Reference-Cited by-同舟云学术

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Incorporating behavioral variables into crash count prediction by severity: A multivariate multiple risk source approach

Published:2019-08 Issue: Volume:129 Page:277-288
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Rahman Shaon Mohammad Razaur,Qin Xiao,Afghari Amir Pooyan,Washington Simon,Haque Md Mazharul

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference99 articles.

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2. Modeling traffic accident occurrence and involvement;Abdel-Aty;Accid. Anal. Prev.,2000

3. Applying fractional split model to examine the effects of roadway geometric and traffic characteristics on speeding behavior;Afghari;Traffic Inj. Prev.,2018

4. Bayesian latent class safety performance function for identifying motor vehicle crash black spots;Afghari;Transp. Res. Rec.,2016

5. A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk;Afghari;Anal. Methods Accid. Res.,2018

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