Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis-Reference-Cited by-同舟云学术

Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis

Published:2016-09 Issue: Volume:11 Page:17-32
ISSN:2213-6657
Container-title:Analytic Methods in Accident Research
language:en
Short-container-title:Analytic Methods in Accident Research

Author:

Anastasopoulos Panagiotis Ch.

Publisher

Elsevier BV

Subject

Safety Research,Transportation

Reference53 articles.

1. Modeling traffic accident occurrence and involvement;Abdel-Aty;Accident Analysis and Prevention,2000

2. A note on modeling vehicle-accident frequencies with random parameter count models;Anastasopoulos;Accident Analysis and Prevention,2009

3. An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data;Anastasopoulos;Accident Analysis and Prevention,2011

4. The effect of speed limits on drivers' choice of speed: a random parameters seemingly unrelated equations approach;Anastasopoulos;Analytical Methods in Accident Research,2016

5. A study of factors affecting highway accident rates using the random-parameters tobit model;Anastasopoulos;Accident Analysis and Prevention,2012

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