A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data

Crash frequency prediction models have been an important subject of safety research that unveils a relationship between crash occurrences and their influencing factors. Recently, the hourly-based refined-scale crash frequency analysis becomes attractive since it holds the benefits of introducing tim...

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Bibliographic Details

Main Authors:	Rongjie Yu, Yiyun Wang, Mohammed Quddus, Jian Li
Format:	Default Article
Published:	2019
Subjects:	Other built environment and design not elsewhere classified Marginalized model Site-specific random effects term Hurdle negative binomial model Excessive zeros Unobserved heterogeneity Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/37857
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