Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model-Reference-Cited by-同舟云学术

Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model

Published:2021-05 Issue: Volume:154 Page:106089
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Chen Tiantian,Sze N.N.^ORCID,Chen Sikai^ORCID,Labi Samuel,Zeng Qiang

Funder

The Hong Kong Polytechnic University

Fundamental Research Funds for the Central Universities

University Grants Committee Research Grants Council

Publisher

Elsevier BV

Subject

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

Reference94 articles.

1. Predicting freeway crashes from loop detector data by matched case-control logistic regression;Abdel-Aty;Transp. Res. Rec.,2004

2. Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway;Ahmed;Accid. Anal. Prev.,2011

3. Assessment of interaction of crash occurrence, mountainous freeway geometry, real-time weather, and traffic data;Ahmed;Transp. Res. Rec.,2012

4. Geometric road design factors affecting the risk of urban run-off crashes. A case-control study;Álvarez;PLoS One,2020

5. Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis;Anastasopoulos;Anal. Methods Accid. Res.,2016

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