Journal
ACCIDENT ANALYSIS AND PREVENTION
Volume 41, Issue 1, Pages 153-159Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2008.10.005
Keywords
Accident frequency; Count data; Random-parameters Poisson and negative binomial models
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In recent years there have been numerous studies that have sought to understand the factors that determine the frequency of accidents on roadway segments over some period of time, using count data models and their variants (negative binomial and zero-inflated models). This study seeks to explore the use of random-parameters count models as another methodological alternative in analyzing accident frequencies. The empirical results show that random-parameters count models have the potential to provide a fuller understanding of the factors determining accident frequencies. (c) 2008 Elsevier Ltd. All rights reserved.
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