A note on modeling vehicle accident frequencies with random-parameters count models

被引：516
|
作者：
Anastasopoulos, Panagiotis Ch. [1 ]
Mannering, Fred [1 ]
机构：
[1] Purdue Univ, Sch Civil Engn, W Lafayette, IN 47907 USA
来源：
ACCIDENT ANALYSIS AND PREVENTION | 2009年 / 41卷 / 01期
关键词：
Accident frequency; Count data; Random-parameters Poisson and negative binomial models; POISSON-GAMMA MODELS; GEOMETRICS; SEVERITY;
D O I：
10.1016/j.aap.2008.10.005
中图分类号：
TB18 [人体工程学];
学科分类号：
1201 ;
摘要：
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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页码：153 / 159
页数：7
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