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

被引：505
|
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.
引用
收藏
页码：153 / 159
页数：7
相关论文
共 41 条
  • [11] Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach
    Zamenian, Hamed
    Mannering, Fred
    Abraham, Dulcy M.
    Iseley, Tom
    [J]. JOURNAL OF INFRASTRUCTURE SYSTEMS, 2017, 23 (02)
  • [12] Multivariate random parameters collision count data models with spatial heterogeneity
    Barua, Sudip
    El-Basyouny, Karim
    Islam, Md. Tazul
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2016, 9 : 1 - 15
  • [13] Modeling Injury Severity of Unconventional Vehicle Occupants: Hybrid of Latent Segments and Random Parameters Logit Models
    Saha, Bijoy
    Fatmi, Mahmudur Rahman
    Rahman, Md Mizanur
    [J]. TRANSPORTATION RESEARCH RECORD, 2022, 2676 (06) : 35 - 47
  • [14] Accident analysis with aggregated data: The random parameters negative binomial panel count data model
    Coruh, Emine
    Bilgic, Abdulbaki
    Tortum, Ahmet
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2015, 7 (37-49) : 37 - 49
  • [15] Comparative analysis of alternative random parameters count data models in highway safety
    Hou, Qinzhong
    Huo, Xiaoyan
    Tarko, Andrew P.
    Leng, Junqiang
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2021, 30
  • [16] Effects of spatial correlation in random parameters collision count-data models
    Barua, Sudip
    El-Basyouny, Karim
    Islam, Md. Tazul
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2015, 5-6 : 28 - 42
  • [17] Modeling safety of highway work zones with random parameters and random effects models
    Chen, Erdong
    Tarko, Andrew P.
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2014, 1 : 86 - 95
  • [18] Modeling Heterogeneity in Patients’ Preferences for Psoriasis Treatments in a Multicountry Study: A Comparison Between Random-Parameters Logit and Latent Class Approaches
    Marco Boeri
    Daniel Saure
    Alexander Schacht
    Elisabeth Riedl
    Brett Hauber
    [J]. PharmacoEconomics, 2020, 38 : 593 - 606
  • [19] Modeling Heterogeneity in Patients' Preferences for Psoriasis Treatments in a Multicountry Study: A Comparison Between Random-Parameters Logit and Latent Class Approaches
    Boeri, Marco
    Saure, Daniel
    Schacht, Alexander
    Riedl, Elisabeth
    Hauber, Brett
    [J]. PHARMACOECONOMICS, 2020, 38 (06) : 593 - 606
  • [20] Comparison and analysis of road tunnel traffic accident frequencies and rates using random-parameter models
    Caliendo, Ciro
    De Guglielmo, Maria Luisa
    Guida, Maurizio
    [J]. JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2016, 8 (02) : 177 - 195
12345