
@article{ref1,
title="Fifty years of Accident Analysis & Prevention: a bibliometric and scientometric overview",
journal="Accident analysis and prevention",
year="2020",
author="Zou, Xin and Vu, Hai L. and Huang, Helai",
volume="144",
number="",
pages="e105568-e105568",
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 &quot;effects of hazard and risk perception on driving behavior&quot;, &quot;crash frequency modeling analysis&quot;, &quot;intentional driving violations and aberrant driving behavior&quot;, &quot;epidemiology, assessment and prevention of road traffic injuries&quot;, and &quot;crash-injury severity modeling analysis&quot;. 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.<p /> <p>Language: en</p>",
language="en",
issn="0001-4575",
doi="10.1016/j.aap.2020.105568",
url="http://dx.doi.org/10.1016/j.aap.2020.105568"
}