A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections-Reference-Cited by-同舟云学术

A latent variable representation of count data models to accommodate spatial and temporal dependence: Application to predicting crash frequency at intersections

Published:2012-01 Issue:1 Volume:46 Page:253-272
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Castro Marisol,Paleti Rajesh,Bhat Chandra R.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference69 articles.

1. Crash estimation at signalized intersections along corridors: analyzing spatial effect and identifying significant factors;Abdel-Aty;Transportation Research Record,2006

2. Spatial analysis of fatal and injury crashes in Pennsylvania;Aguero-Valverde;Accident Analysis and Prevention,2006

3. Spatial correlation in multilevel crash frequency models effects of different neighboring structures;Aguero-Valverde;Transportation Research Record,2010

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

5. Aberrant crypt foci and semiparametric modelling of correlated binary data;Apanasovich;Biometrics,2008

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