Fifty years of accident analysis & rrevention: a bibliometric and scientometric overview

Xin Zou, Hai L. Vu, Helai Huang

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

Accident Analysis & Prevention (AA&P) is a leading academic journal established in 1969 that serves as an important scientific communication platform for road safety studies. To celebrate its 50th anniversary of publishing outstanding and insightful studies, a multi-dimensional statistical and visualized analysis of the AA&P publications between 1969 and 2018 was performed using the Web of Science (WoS) Core Collection database, bibliometrics and mapping-knowledge-domain (MKD) analytical methods, and scientometric tools. It was shown that the annual number of AA&P's publications has grown exponentially and that over the course of its development, AA&P has been a leader in the field of road safety, both in terms of innovation and dissemination. By determining its key source countries and organizations, core authors, highly co-cited published documents, and high burst-strength publications, we showed that AA&P's areas of focus include the “effects of hazard and risk perception on driving behavior”, “crash frequency modeling analysis”, “intentional driving violations and aberrant driving behavior”, “epidemiology, assessment and prevention of road traffic injuries”, and “crash-injury severity modeling analysis”. Furthermore, the key burst papers that have played an important role in advancing research and guiding AA&P in new directions – particularly those in the fields of crash frequency and crash-injury severity modeling analyses were identified. Finally, a modified Haddon matrix in the era of intelligent, connected and autonomous transportation systems is proposed to provide new insights into the emerging generation of road safety studies.

Original languageEnglish
Article number105568
Number of pages26
JournalAccident Analysis and Prevention
Volume144
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Accident Analysis & Prevention
  • Bibliometrics
  • Journal analysis
  • Revised Haddon matrix
  • Road safety
  • Scientometrics

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