Mapping the knowledge domain of road safety studies: a scientometric analysis

Xin Zou, Hai L. Vu

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MKD) provides a vision-based analytic approach to scientometric analysis which can be used to reveal an academic community, the structure of its networks, and the dynamic development of a discipline. This study, based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles on road safety, employs the bibliometric tools VOSviewer and CitNetExplorer to create maps of author co-citation, document co-citation, citation networks, analyze the core authors and classic documents supporting road safety studies and show the citation context and development of such studies. It shows that road safety studies clustered mainly into four groups, whose we will refer to as “effects of driving psychology and behavior on road safety”, “causation, frequency and injury severity analysis of road crashes”, “epidemiology, assessment and prevention of road traffic injury”, and “effects of driver risk factors on driver performance and road safety”, respectively. Through our analysis, the core publications and their citation relationships were quickly located and explored, and “crash frequency modeling analysis” has been identified to be the core research topic in road safety studies, with spatial statistical analysis technique emerging as a frontier of this topic.

Original languageEnglish
Article number105243
Number of pages13
JournalAccident Analysis and Prevention
Volume132
DOIs
Publication statusPublished - Nov 2019

Keywords

  • Citation network
  • CitNetExplorer
  • Co-citation analysis
  • Road safety
  • Scientometrics
  • VOSviewer

Cite this