Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model

Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poissonlognormal) for modelling the number of acc...

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Bibliographic Details

Main Authors:	Chao Wang, Mohammed Quddus, Stephen Ison
Format:	Default Article
Published:	2011
Subjects:	Other built environment and design not elsewhere classified Road accidents Site ranking Bayesian spatial model Mixed logit model Two-stage mixed multivariate model Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/8702
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