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Analytic Methods in Accident Research

Analytic Methods in Accident Research

ANAL METHODS ACCID R
影响因子：12.6
是否综述期刊：否
是否预警：不在预警名单内
是否OA：否
出版国家/地区：
出版社：Elsevier
发刊时间：0
发刊频率：
收录数据库：Scopus收录
ISSN：2213-6657
年发文量 29
国人发稿量 10.09
国人发文占比 0.35%
自引率 -
平均录取率-
平均审稿周期 -
版面费 US$4030
偏重研究方向 Multiple-
期刊官网 https://www.journals.elsevier.com/analytic-methods-in-accident-research
投稿链接

期刊高被引文献

The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100091
Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100102
A statistical assessment of temporal instability in the factors determining motorcyclist injury severities
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100090
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100101
An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100103
A preliminary investigation of the effectiveness of high visibility enforcement programs using naturalistic driving study data: A grouped random parameters approach
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2018.10.003
A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.01.002
Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.02.001
Bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100100
Bayesian hierarchical modeling of traffic conflict extremes for crash estimation: A non-stationary peak over threshold approach
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/j.amar.2019.100106
Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated data
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/j.amar.2019.100105
A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/j.amar.2019.100110
Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/j.amar.2019.100107
Hourly associations between weather factors and traffic crashes: non-linear and lag effects
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/j.amar.2019.100109
Comprehensive evaluation of signal-coordinated arterials on traffic safety
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.01.001
Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100104
A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data
来源期刊：Analytic Methods in Accident ResearchDOI：10.1016/J.AMAR.2019.100092

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00%20.69%--

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

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时间 预警情况
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源：中科院《 国际期刊预警名单》

JCR分区

WOS分区等级：Q1区
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WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方（Web of Science）为每个学科内的期刊按照IF数值排 序，将期刊按照四等分的方法划分的Q1-Q4等级，Q1代表质量最高，即常说的1区期刊。
（2024-2025年最新版）
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Q1

中科院分区

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版本 大类学科 小类学科 Top期刊 综述期刊
2025年3月最新升级版
工程技术1区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生
1区
TRANSPORTATION 交通运输
1区
是
否
2023年12月升级版
工程技术1区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生
1区
TRANSPORTATION 交通运输
1区
否
否
2022年12月旧的升级版
工程技术1区
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生
1区
TRANSPORTATION 交通运输
1区
是
否