Accident Analysis and Prevention

Aims & Scope

Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases.

Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites.

Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	6.2
2024	5.70

SJR (SCImago Journal Rank)

Year	Value
2024	2.007

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	1419

Journal Citation Indicator

Year	Value
2024	8336

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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
• Medline

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Subjects & Keywords

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

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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.

• Driving speed and the risk of road crashes: A review

  Citation: 939

  Authors: Letty, Ingrid

• Thirty years of safety climate research: Reflections and future directions

  Citation: 826

  Authors: Dov

• The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

  Citation: 821

  Authors: Peter T., Fred L., Dominique, Mohammed A.

• Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

  Citation: 784

  Authors: Amir Bahador, Ali, Homa, Sybil, Abolfazl (Kouros)

• Highway accident severities and the mixed logit model: An exploratory empirical analysis

  Citation: 699

  Authors: John C., Venky N., Fred L.

• Extended time-to-collision measures for road traffic safety assessment

  Citation: 699

  Authors: Michiel M., Piet H.L.

• Modeling traffic accident occurrence and involvement

  Citation: 625

  Authors: Mohamed A., A.Essam

• Towards a general theory of driver behaviour

  Citation: 618

  Authors: Ray

• Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory

  Citation: 608

  Authors: Dominique, Simon P., John N.

• Kernel density estimation and K-means clustering to profile road accident hotspots

  Citation: 580

  Authors: Tessa K.

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