Analytic Methods in Accident Research

Aims & Scope

Analytic Methods in Accident Research publishes manuscripts that deal with the development and/or application of new and novel methodologies to the study of vehicle crashes and other transportation and non-transportation-related accidents.

The intent of the journal is to demonstrate how innovative methodological approaches can be used to provide new insights and quantification of the factors that affect the frequency and severity of accidents - thus providing new guidance for the implementation of appropriate countermeasures.

While the focus of the journal is on the underlying analytic approach, acceptable application areas include all elements of transportation safety (road, pedestrian, air, rail, and water safety), construction safety, and any area of study where the unintended consequences of human behavior, machine failures or system failures result in property damage and/or bodily injury.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	12.6

Journal Rank

Year	Value
2024	206

Journal Citation Indicator

Year	Value
2024	1431

SJR (SCImago Journal Rank)

Year	Value
2024	6.076

Quartile

Year	Value
2024	Q1

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Social Sciences, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Unobserved heterogeneity and the statistical analysis of highway accident data

  Citation: 794

  Authors: Fred L., Venky, Chandra R.

• Analytic methods in accident research: Methodological frontier and future directions

  Citation: 727

  Authors: Fred L., Chandra R.

• Temporal instability and the analysis of highway accident data

  Citation: 306

  Authors: Fred

• Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

  Citation: 241

  Authors: Ali, Fred

• Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models

  Citation: 229

  Authors: Fan, Dominique

• Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis

  Citation: 196

  Authors: Fred, Chandra R., Venky, Mohamed

• Occupant injury severities in hybrid-vehicle involved crashes: A random parameters approach with heterogeneity in means and variances

  Citation: 180

  Authors: Puttipan, Shuaiqi, Venkataraman, Fred, Narayan, John

• The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence

  Citation: 174

  Authors: Ali, Fred L.

• A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity

  Citation: 167

  Authors: Shamsunnahar, Naveen, Chandra R., Richard

• An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models

  Citation: 161

  Authors: Ali, Fred L.

---